From 4c9483be9c538edca3b00fe0f811f75b98033297 Mon Sep 17 00:00:00 2001 From: oscarbenjamin Date: Mon, 26 Aug 2024 13:38:22 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20sympy/sy?= =?UTF-8?q?mpy@9ae79a9b5802d2697e0644895e91734c33be5a1b=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../matrices-10.pdf | Bin 287793 -> 287793 bytes .../beam-2.pdf | Bin 10738 -> 10738 bytes .../beam-23.pdf | Bin 13812 -> 13812 bytes .../plotting-2.pdf | Bin 10420 -> 10420 bytes .../plotting-32_01.pdf | Bin 9491 -> 9491 bytes .../control_plots-4.pdf | Bin 16070 -> 16070 bytes .../beam_problems-13_00.pdf | Bin 11391 -> 11391 bytes .../beam-1.pdf | Bin 407302 -> 407297 bytes .../beam-5.pdf | Bin 14151 -> 14151 bytes .../beam-21.pdf | Bin 13017 -> 13017 bytes .../plotting-4.pdf | Bin 8949 -> 8949 bytes .../plotting-17.pdf | Bin 539955 -> 539955 bytes .../plotting-6.pdf | Bin 9491 -> 9491 bytes .../control_plots-5.pdf | Bin 16229 -> 16229 bytes .../matrices-24.pdf | Bin 271973 -> 271973 bytes .../matrices-25.pdf | Bin 287793 -> 287793 bytes .../plotting-16.pdf | Bin 529288 -> 529288 bytes .../plotting-26.hires.png | Bin 30773 -> 30783 bytes .../beam_problems-14.pdf | Bin 16999 -> 16999 bytes .../beam-8.pdf | Bin 10148 -> 10148 bytes .../matrices-22.pdf | Bin 245620 -> 245620 bytes .../matrices-4.pdf | Bin 271973 -> 271973 bytes .../plotting-32_00.pdf | Bin 9295 -> 9295 bytes .../beam_problems-18.pdf | Bin 10501 -> 10501 bytes .../plotting-26.pdf | Bin 129543 -> 128984 bytes .../plotting-1.pdf | Bin 10388 -> 10388 bytes .../plotting-29.hires.png | Bin 19471 -> 19488 bytes .../control_plots-2.pdf | Bin 19512 -> 19512 bytes .../generate_plots_q3_3.pdf | Bin 15852 -> 15852 bytes .../control_plots-1.pdf | Bin 15532 -> 15532 bytes .../matrices-8.pdf | Bin 288225 -> 288225 bytes .../plotting-19.pdf | Bin 9515 -> 9515 bytes .../matrices-17.pdf | Bin 245620 -> 245620 bytes .../beam-1.hires.png | Bin 24782 -> 24786 bytes .../matrices-18.pdf | Bin 288225 -> 288225 bytes .../plotting-33.pdf | Bin 11049 -> 11049 bytes .../beam-20.pdf | Bin 16340 -> 16340 bytes .../plotting-25.hires.png | Bin 32744 -> 32745 bytes .../biomechanics-11.pdf | Bin 11956 -> 11956 bytes .../biomechanical-model-example-35.pdf | Bin 21668 -> 21668 bytes .../beam_problems-13_01.pdf | Bin 11920 -> 11920 bytes .../plotting-7.pdf | Bin 10318 -> 10318 bytes .../plotting-20.pdf | Bin 9752 -> 9752 bytes .../plotting-28.pdf | Bin 12886 -> 12886 bytes .../plotting-15.pdf | Bin 269841 -> 269841 bytes .../generate_plots_q3_5_1.pdf | Bin 16617 -> 16617 bytes .../matrices-13.pdf | Bin 288225 -> 288225 bytes .../generate_plots_q5.pdf | Bin 16469 -> 16469 bytes .../plotting-27.pdf | Bin 14716 -> 14716 bytes .../plotting-30.png | Bin 8711 -> 8670 bytes .../biomechanics-12.pdf | Bin 13177 -> 13177 bytes .../matrices-2.pdf | Bin 245620 -> 245620 bytes .../plotting-25.png | Bin 10134 -> 10118 bytes .../generate_plots_q3_4.pdf | Bin 16190 -> 16190 bytes .../plotting-11.pdf | Bin 8674 -> 8674 bytes .../matrices-6.pdf | Bin 287793 -> 287793 bytes .../matrices-19.pdf | Bin 271973 -> 271973 bytes .../plotting-26.png | Bin 9346 -> 9356 bytes .../matrices-21.pdf | Bin 287793 -> 287793 bytes .../plotting-12.pdf | Bin 7938 -> 7938 bytes .../matrices-12.pdf | Bin 245620 -> 245620 bytes .../beam-19.pdf | Bin 12951 -> 12951 bytes .../beam_problems-11_00.pdf | Bin 9613 -> 9613 bytes .../matrices-15.pdf | Bin 287793 -> 287793 bytes .../plotting-29.pdf | Bin 18636 -> 18566 bytes .../plotting-13.pdf | Bin 7942 -> 7942 bytes .../beam_problems-16.pdf | Bin 9416 -> 9416 bytes .../biomechanics-14.pdf | Bin 10590 -> 10590 bytes .../plotting-24.png | Bin 8365 -> 8382 bytes .../solve-ode-1.pdf | Bin 12674 -> 12674 bytes .../beam-4.pdf | Bin 9978 -> 9978 bytes .../plotting-10.pdf | Bin 10927 -> 10927 bytes .../biomechanics-34.pdf | Bin 21705 -> 21705 bytes .../plotting-35.pdf | Bin 268827 -> 268827 bytes .../matrices-16.pdf | Bin 287793 -> 287793 bytes .../plotting-30.pdf | Bin 26510 -> 26349 bytes .../beam-3.pdf | Bin 12556 -> 12556 bytes .../matrices-20.pdf | Bin 287793 -> 287793 bytes .../matrices-11.pdf | Bin 287793 -> 287793 bytes .../plotting-32_02.pdf | Bin 8842 -> 8842 bytes .../plotting-34.pdf | Bin 266941 -> 266941 bytes .../beam-18.pdf | Bin 12677 -> 12677 bytes .../generate_plots_q3_5_2.pdf | Bin 16617 -> 16617 bytes .../plotting-9.pdf | Bin 8486 -> 8486 bytes .../beam_problems-11_01.pdf | Bin 9823 -> 9823 bytes .../beam-1.png | Bin 10070 -> 10075 bytes .../biomechanical-model-example-38.pdf | Bin 25373 -> 25373 bytes .../control_plots-3.pdf | Bin 14482 -> 14482 bytes .../matrices-9.pdf | Bin 271973 -> 271973 bytes .../plotting-22.pdf | Bin 217183 -> 217183 bytes .../plotting-29.png | Bin 6906 -> 6886 bytes .../beam-22.pdf | Bin 15304 -> 15304 bytes .../plotting-30.hires.png | Bin 25654 -> 25718 bytes .../matrices-14.pdf | Bin 271973 -> 271973 bytes .../beam-7.pdf | Bin 18085 -> 18085 bytes .../matrices-7.pdf | Bin 245620 -> 245620 bytes .../beam-6.pdf | Bin 9452 -> 9452 bytes .../plotting-32_03.pdf | Bin 269841 -> 269841 bytes .../matrices-1.pdf | Bin 287793 -> 287793 bytes .../plotting-24.hires.png | Bin 26951 -> 26952 bytes .../plotting-5.pdf | Bin 9295 -> 9295 bytes .../matrices-3.pdf | Bin 288225 -> 288225 bytes .../plotting-25.pdf | Bin 39830 -> 39808 bytes .../matrices-5.pdf | Bin 287793 -> 287793 bytes .../beam-9.pdf | Bin 11821 -> 11821 bytes .../matrices-23.pdf | Bin 288225 -> 288225 bytes .../fourier-1.pdf | Bin 15168 -> 15168 bytes .../fourier-2.pdf | Bin 23873 -> 23873 bytes .../beam-10.pdf | Bin 11835 -> 11835 bytes .../plotting-24.pdf | Bin 31943 -> 32005 bytes .../biomechanics-13.pdf | Bin 12383 -> 12383 bytes .../truss-1.pdf | Bin 3366 -> 3366 bytes .../plotting-31_01.pdf | Bin 20255 -> 20227 bytes .../plotting-31_00.pdf | Bin 20588 -> 20520 bytes dev/_images/beam-1.png | Bin 10070 -> 10075 bytes dev/_images/plotting-24.png | Bin 8365 -> 8382 bytes dev/_images/plotting-25.png | Bin 10134 -> 10118 bytes dev/_images/plotting-26.png | Bin 9346 -> 9356 bytes dev/_images/plotting-29.png | Bin 6906 -> 6886 bytes dev/_images/plotting-30.png | Bin 8711 -> 8670 bytes dev/explanation/gotchas.html | 2 +- dev/modules/algebras.html | 66 +- dev/modules/assumptions/ask.html | 8 +- dev/modules/assumptions/assume.html | 18 +- dev/modules/assumptions/index.html | 12 +- dev/modules/assumptions/predicates.html | 84 +- dev/modules/assumptions/refine.html | 18 +- dev/modules/calculus/index.html | 40 +- dev/modules/categories.html | 36 +- dev/modules/codegen.html | 234 ++-- dev/modules/combinatorics/galois.html | 42 +- dev/modules/combinatorics/graycode.html | 20 +- .../combinatorics/group_constructs.html | 2 +- dev/modules/combinatorics/group_numbers.html | 8 +- dev/modules/combinatorics/named_groups.html | 10 +- dev/modules/combinatorics/partitions.html | 26 +- dev/modules/combinatorics/perm_groups.html | 134 +- dev/modules/combinatorics/permutations.html | 98 +- dev/modules/combinatorics/polyhedron.html | 6 +- dev/modules/combinatorics/prufer.html | 16 +- dev/modules/combinatorics/subsets.html | 30 +- dev/modules/combinatorics/tensor_can.html | 8 +- dev/modules/combinatorics/testutil.html | 10 +- dev/modules/combinatorics/util.html | 16 +- dev/modules/concrete.html | 38 +- dev/modules/core.html | 500 +++---- dev/modules/crypto.html | 102 +- dev/modules/diffgeom.html | 78 +- dev/modules/discrete.html | 30 +- dev/modules/functions/combinatorial.html | 66 +- dev/modules/functions/elementary.html | 186 +-- dev/modules/functions/index.html | 6 +- dev/modules/functions/special.html | 200 +-- dev/modules/geometry/curves.html | 12 +- dev/modules/geometry/ellipses.html | 48 +- dev/modules/geometry/entities.html | 18 +- dev/modules/geometry/lines.html | 90 +- dev/modules/geometry/plane.html | 36 +- dev/modules/geometry/points.html | 54 +- dev/modules/geometry/polygons.html | 52 +- dev/modules/geometry/utils.html | 10 +- dev/modules/holonomic/convert.html | 6 +- dev/modules/holonomic/internal.html | 4 +- dev/modules/holonomic/operations.html | 18 +- dev/modules/holonomic/represent.html | 10 +- dev/modules/integrals/g-functions.html | 78 +- dev/modules/integrals/integrals.html | 122 +- dev/modules/interactive.html | 14 +- dev/modules/liealgebras/index.html | 164 +-- dev/modules/logic.html | 90 +- dev/modules/matrices/dense.html | 22 +- dev/modules/matrices/expressions.html | 64 +- dev/modules/matrices/immutablematrices.html | 4 +- dev/modules/matrices/kind.html | 2 +- dev/modules/matrices/matrices.html | 368 +++--- dev/modules/matrices/normalforms.html | 4 +- dev/modules/matrices/sparse.html | 6 +- dev/modules/matrices/sparsetools.html | 6 +- dev/modules/ntheory.html | 202 +-- dev/modules/parsing.html | 58 +- .../physics/biomechanics/api/activation.html | 18 +- .../physics/biomechanics/api/curve.html | 86 +- .../biomechanics/api/musculotendon.html | 12 +- .../physics/continuum_mechanics/beam.html | 110 +- .../physics/continuum_mechanics/cable.html | 18 +- .../physics/continuum_mechanics/truss.html | 26 +- .../physics/control/control_plots.html | 26 +- dev/modules/physics/control/lti.html | 96 +- dev/modules/physics/hep/index.html | 8 +- dev/modules/physics/hydrogen.html | 8 +- dev/modules/physics/matrices.html | 8 +- .../physics/mechanics/api/actuator.html | 22 +- .../mechanics/api/deprecated_classes.html | 30 +- .../physics/mechanics/api/expr_manip.html | 4 +- dev/modules/physics/mechanics/api/joint.html | 14 +- .../physics/mechanics/api/kane_lagrange.html | 24 +- .../physics/mechanics/api/linearize.html | 6 +- .../physics/mechanics/api/part_bod.html | 46 +- .../physics/mechanics/api/pathway.html | 16 +- dev/modules/physics/mechanics/api/system.html | 44 +- .../mechanics/api/wrapping_geometry.html | 24 +- dev/modules/physics/optics/gaussopt.html | 32 +- dev/modules/physics/optics/medium.html | 2 +- dev/modules/physics/optics/polarization.html | 22 +- dev/modules/physics/optics/utils.html | 20 +- dev/modules/physics/optics/waves.html | 2 +- dev/modules/physics/paulialgebra.html | 2 +- dev/modules/physics/qho_1d.html | 6 +- .../physics/quantum/anticommutator.html | 4 +- dev/modules/physics/quantum/cartesian.html | 22 +- dev/modules/physics/quantum/cg.html | 10 +- dev/modules/physics/quantum/circuitplot.html | 26 +- dev/modules/physics/quantum/commutator.html | 4 +- dev/modules/physics/quantum/constants.html | 2 +- dev/modules/physics/quantum/dagger.html | 2 +- dev/modules/physics/quantum/gate.html | 68 +- dev/modules/physics/quantum/grover.html | 10 +- dev/modules/physics/quantum/hilbert.html | 18 +- dev/modules/physics/quantum/innerproduct.html | 2 +- dev/modules/physics/quantum/operator.html | 12 +- dev/modules/physics/quantum/operatorset.html | 4 +- dev/modules/physics/quantum/piab.html | 6 +- dev/modules/physics/quantum/qapply.html | 2 +- dev/modules/physics/quantum/qft.html | 12 +- dev/modules/physics/quantum/qubit.html | 22 +- dev/modules/physics/quantum/represent.html | 12 +- dev/modules/physics/quantum/shor.html | 6 +- dev/modules/physics/quantum/spin.html | 40 +- dev/modules/physics/quantum/state.html | 32 +- .../physics/quantum/tensorproduct.html | 4 +- dev/modules/physics/secondquant.html | 106 +- dev/modules/physics/sho.html | 4 +- dev/modules/physics/units/dimensions.html | 14 +- dev/modules/physics/units/prefixes.html | 2 +- dev/modules/physics/units/quantities.html | 8 +- dev/modules/physics/units/unitsystem.html | 6 +- dev/modules/physics/vector/api/classes.html | 92 +- .../physics/vector/api/fieldfunctions.html | 14 +- dev/modules/physics/vector/api/functions.html | 12 +- .../physics/vector/api/kinematics.html | 32 +- dev/modules/physics/vector/api/printing.html | 8 +- dev/modules/physics/wigner.html | 20 +- dev/modules/plotting.html | 72 +- dev/modules/polys/agca.html | 180 +-- dev/modules/polys/domainmatrix.html | 492 +++---- dev/modules/polys/domainsref.html | 1156 ++++++++--------- dev/modules/polys/internals.html | 600 ++++----- dev/modules/polys/numberfields.html | 194 +-- dev/modules/polys/reference.html | 530 ++++---- dev/modules/polys/ringseries.html | 70 +- dev/modules/polys/solvers.html | 10 +- dev/modules/printing.html | 212 +-- dev/modules/rewriting.html | 2 +- dev/modules/series/formal.html | 44 +- dev/modules/series/fourier.html | 16 +- dev/modules/series/limitseq.html | 6 +- dev/modules/series/sequences.html | 32 +- dev/modules/series/series.html | 50 +- dev/modules/sets.html | 110 +- dev/modules/simplify/fu.html | 50 +- dev/modules/simplify/simplify.html | 64 +- dev/modules/solvers/diophantine.html | 102 +- dev/modules/solvers/inequalities.html | 16 +- dev/modules/solvers/ode.html | 158 +-- dev/modules/solvers/pde.html | 18 +- dev/modules/solvers/solvers.html | 36 +- dev/modules/solvers/solveset.html | 30 +- dev/modules/stats.html | 292 ++--- dev/modules/tensor/array.html | 18 +- dev/modules/tensor/array_expressions.html | 8 +- dev/modules/tensor/index_methods.html | 4 +- dev/modules/tensor/indexed.html | 6 +- dev/modules/tensor/tensor.html | 72 +- dev/modules/tensor/toperators.html | 2 +- dev/modules/testing/pytest.html | 12 +- dev/modules/testing/runtests.html | 36 +- dev/modules/utilities/autowrap.html | 20 +- dev/modules/utilities/codegen.html | 60 +- dev/modules/utilities/decorator.html | 18 +- dev/modules/utilities/enumerative.html | 18 +- dev/modules/utilities/exceptions.html | 6 +- dev/modules/utilities/iterables.html | 110 +- dev/modules/utilities/lambdify.html | 6 +- dev/modules/utilities/memoization.html | 4 +- dev/modules/utilities/misc.html | 24 +- dev/modules/utilities/source.html | 4 +- dev/modules/utilities/timeutils.html | 2 +- dev/modules/vector/api/classes.html | 72 +- dev/modules/vector/api/orienterclasses.html | 22 +- dev/modules/vector/api/vectorfunctions.html | 20 +- 290 files changed, 5084 insertions(+), 5084 deletions(-) diff --git a/dev/_downloads/0130acc9674ca6615e762dac32f6f525/matrices-10.pdf b/dev/_downloads/0130acc9674ca6615e762dac32f6f525/matrices-10.pdf index d027460dcab8a668b6cb1fcf95355680fec867a6..e201b9a943afbbe618c7f414504133ef1b71457f 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#sYim;t9~2-5%n delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb=7wh5#S>Yim;tBh2;l$# diff --git a/dev/_downloads/0249fb66c2fcb06b78bd6a84135be88a/beam-2.pdf b/dev/_downloads/0249fb66c2fcb06b78bd6a84135be88a/beam-2.pdf index 475bee5fbddd8f096e3f474bc9397124d39eff58..54233baaa23e441ad3739fc6df03274d1a28b174 100644 GIT binary patch delta 19 acmewq{3&=tiyE7uv5~Qf<>oH63}ygQ00!>> delta 19 acmewq{3&=tiyE7OrLl#9`Q|RQ3}ygQItKIr diff --git a/dev/_downloads/02f5470280a542a7c80635a082cb7e09/beam-23.pdf b/dev/_downloads/02f5470280a542a7c80635a082cb7e09/beam-23.pdf index fe977d2c824746988aec55159b6efa9fb649e722..392af050d0439e9796b536964cac4d76712d2917 100644 GIT binary patch delta 19 bcmey8{Uv+DPeV3CV=UqlF} delta 19 bcmey8{Uv+DPeV2XOJfTogU$a9zcK>=Uz!N8 diff --git a/dev/_downloads/034c3ce6c53eca7932c83f9b35d14c64/plotting-2.pdf b/dev/_downloads/034c3ce6c53eca7932c83f9b35d14c64/plotting-2.pdf index 5ad92a94e010bcb826375dea630f2921581d2f52..758b57773f94cdfdf778911c3326304f200faf48 100644 GIT binary patch delta 19 acmdlIxFv8ylPa5`v5|?9+2#&a9cBPXKn5uQ delta 19 acmdlIxFv8ylPa5mrLl#H(dG_S9cBPXkOnaT diff --git a/dev/_downloads/0616d85a2c2e5a070fd791bdcdb1e35e/plotting-32_01.pdf b/dev/_downloads/0616d85a2c2e5a070fd791bdcdb1e35e/plotting-32_01.pdf index ce15a5bf478508e79e825f29425a426d30a39308..bcc6c21fab8266478c4dcbeb7b6eb24372a370ac 100644 GIT binary patch delta 19 acmbR2HQ8%}tP-1{v5~2P!DeNp4@>|&!3D(t delta 19 acmbR2HQ8%}tP-1nrLm=<`DSIM4@>|(Oa<2f diff --git a/dev/_downloads/0680199b4e61bc189fceb4418aa72812/control_plots-4.pdf b/dev/_downloads/0680199b4e61bc189fceb4418aa72812/control_plots-4.pdf index e84d34572196e8c5771d3b0d236c2a5e1f585c69..f88048a9bce528f1048584cabdf83af09385448e 100644 GIT binary patch delta 19 acmX?Bd#rYYwiTP9v5|?P$!0^VsVo3Yk_LzX delta 19 acmX?Bd#rYYwiTO!rLl#v;budtsVo3Y=mwDh diff --git a/dev/_downloads/077b659bec1d5c2fd531dbd0f7e15f0f/beam_problems-13_00.pdf b/dev/_downloads/077b659bec1d5c2fd531dbd0f7e15f0f/beam_problems-13_00.pdf index 5c0a3bcfc4253d5dc7a33868286e8e5b318a1c41..c2eb7a157fd241c0de128fecc5b4afce8b33a21e 100644 GIT binary patch delta 19 acmew#@jqgNiYA+(v5|>^`DQK6P-Xy4s0Kj* delta 19 acmew#@jqgNiYA+ZrLl#P$!0ChP-Xy4{su|_ diff --git a/dev/_downloads/0a5b397c3adc07987864b0441654dc1c/beam-1.pdf b/dev/_downloads/0a5b397c3adc07987864b0441654dc1c/beam-1.pdf index 745495b831f08b8fed614b3788e48b8cca32e245..5372d682ec668526354fd8b3a7172f240040b7f3 100644 GIT binary patch delta 11553 zcmZX42|Sc*|Mw|nZE=sRC);f-6|(OtzA6#ByEAeE7( z1Bf(0^c0|N>N5)y2E;VbwfE#hTo0idB=d1RD2Pixp};AE$yB|zY&BQjerIUcdj_UhU&NE!>x^G3IY2ODf&GUm}OoaD>rR|*E+##Wy)$qpK)1?=ly)h?hp1i_Ot`Cp79s&!l9`b<%)U$E_o%?{g5Yqm)L)ZE& zocUCMT)(yPx(~45zZXtVCWeA-JyZopell@9KW!OodrM{XAMl_RQxz_&QMRJIR*tqd zHws(rWa#`K%WGul#h37ktd+Ga9kB(Pxia+6S$LE8M=5%q1u(vZUlu_e zwkB{ee@UV4B%s+!M01mIgF|N}EP>#8e929{smz9``SA5S>{K>L!d)qN;Gf6`51v*N zkVXQ_yxTpSh{))(XEBr0QPGR~AC(lbk^ z|4_$Jf;h0>wF@N}1?OE#%RTc^52CT`H7w4=KK2N#YTl5=Sy;6#us+9OeQv?}aE!mH zn5h0s)PU~3v_15wNv~z=7WHD&KsRs2rjHlA_wy-vMs<=}yLH9Yhfg2%|43@RzM*zk>Nq3E6&=&|5)IKoSd1rx)8!A!_&gqbbavaZ5M~(f zPuQU0#Q(a@WS{z_^ZrS%I6Me;4|I9_w#eSRx^LfXonr4mu*kZ(o<>|$pNH{oOIbQ% z=f!WQd1O6PU*_f`|6NVQn`7sA81BJ7)_-oWw-UQv;w&uPl$-!RIW}hl20V1$P#Kpu zpkq!&&cqbF>95Pv7T}o{viTs&^w|dn{9Wp_5!S2`ST@!1h=glyeWGl>0L_e_tn`G+ zaFIuJ57+b%(QX@{c{O=o`;&-*az*j7OL(9t;>-z`qA@sahzr4WvQ-v+CikN`4|sJ1 zu|~+wa_Giqrk|USr7QDrs;|>d_u%35)i&VwIJSTf>^qU?oklzCm*G7qnqqO~!ggxMxroLe*PTlEQ1UX%yy@Tx4~Y!#9It)*KI>3$ zPK|XR5htE=L($twfJ5>`C5O9t<-qqHGpeaL=bpms2cS=;8wdFhYp#HQHS>MaOf_NeN4@%*rw(i^;!WSe{37gix!xM1+!_u;~)XO1N zeIn^69@ZhXW~nCH2Drh3B)py(My#Kgy$+tKc5L{vv(6i`)rkymMeCjmf=62w^|$_= zneUJ)%%f!c_OMSxqTPujj=`6^x5(rT-oE3Fr6p4c&!%Dh^9G;1DR~)7Ns96wS1hea z+P~Tf2fboWWDgY#S)-X}+}eKK4&g-F&C#XcCx4-t5}-?Rb1A+9u?f4JXaS0~k>`#m z(}95Wc8iAykga9tD`^?3W(4x4V?1Y2UOtr94QykAPzT?+WT5d*j-Hw4YJvq%J2qQO zs9eICOx!O{ivBqkKk@R}4cuSP3@i_6dtN2bri{+opfjIrrG)a?c z9xOnPKXJeAv3qh$k2L6V;ffnI0<5~-hjH^Rs`&;sUHk@J2_p_`gkt6wF^f|nr6jW3 z)_Gm{iz|s;;z825B9t0%uDKMFu>Uav+nq5&uZ+FxDYwh_`LK7F`nEV-CBzMf`28MuFK1Mf+yP}BBbS5@O=4RFYK$YudlYz$B=JX&||MrUBR*R}<$;|Q&z zog*J18+wC58EVTFeq^LjsdPISti~A|gG3I(vih5xRYFVd054sLVBAG%dq69G`R zu3)Q&;D+s4VdRje@!JW{PqZp}HgzV9{}G0|5I|S3Q_L1wx@!WzW*S1a@un(3Mb{*S z7CyT6QVntNl%qR-_OQ0WP)oryeyAu)_{k5_sD8?_C~>`u_fP*q^}^F+V`UzD$>)c& zqo0RL(=*MH&Mql>!i1Zi}S9nLHzf=4(6ml;;=d?9?m8}*K@}d;|(d7M|P;{Eu z0;M~bud{9mbiU^efy?@lE$}>niXEi-xz4$9JJ&zcK8fAl*mtP$B7RxUm;v8GAKr3? zpH^f7qBS}8%d_Qz%b5gKV=Ck`#m^Q%(?TBAmO;Cv=mlGuoclpVHXdk$GRYaZVk%eL z(`5SvBcP>)d{A-Bb=zuVc%{-9XE-d09K48!7PShYZ-#(<@^+NDkrx@AQ*>I`2lOyG zq&!^8vl^kfJn15$4$|}zs`+VtnyaC8mg^GsgBkh9Rsv+^MP@8L80?k5x1T)i7YXurn4;v1< zrl^Lwt72V;NEdMrdE~hedUXhFyMI5ki=PYy9n_UjNz

IX>YGpTcfuO{#)Dj@MV0 zK_Vd={sFoU+{c~yNT^uIn*L$BOZWFjq5kLMOj8+P@`aBNCyE zGWX=-=k$>8^2{`cJ}?Mt8W!N(h(Xz>ZOlMuR`8}h!0Rx4#0~KbZ`jQZkn$VKo|gq^ z@h=E<5TH~>^>)Yf<43yhJZv;KKa*%Tw~=_;%AE1)3CA!|I^KjNW=Zl+;>Uag9fsEI zMZi||d?L?1?!XVGq>_sie?22o5{dNtXQ_9ZJP+%@1&RwH15=GkOgz-k)n3h58P>Z8 zOs0Y&onH6@^t zj*w%|%M9O$#fR;$e+C-OMEYpAvD&hKeE8+U8`-Ss*#8J$e8py;r5St_3jg@;C6{o68~8bEG}s*sIvJn(6Dmo0dRncowJKU7 zuHrwP;yO$Q@ghS-yTNzYM*K3u#ZqU_JSf zKHs*UO=}HsQ2}@F83}yOqU>S2p zBK?^;<4n7ebt_TYD$g*UqIi)Ks7NT0CQ^jY^i)`oG{>d$`r59jdM74MQmVAZN$KBj zXF{FQjvz-x}yQ)&@4Ff6IDE~{GY3yby?!;{d zTPmA99UyytgzVa?xb=On9ulIo_GbfxXq;+ZpXj1PZ;2@28)Mdb_qY_{4FAe#{B_hRwps<>x1=vHuBhTnJl}Vx9&k0O0 z_yyQ6OCTSxkH9O?A}t0Fgoe%-fUp7JB@=#rH>xI#s=?XhA0dQD{?Mfa@07wdjNhIq(uBg!K49wx_FlO=8Djc|*HQMXX>HvgR-n(v?Iw z)i8ax1h#(N-DhzUdvSdXlzBBw>MqdP;-CT8+r;D3>-r!{a#Rat;IrU_hF&>t1mK(> zNW~A_z^9#$_5=uYx>|x-CxuuD4ACs<2HY<}iau%q-a?R+d$2*m6x4=mG#?j*dB{6J zJ)*6omxBAhY#+m}njh&Nka<~gnPwNBXlGbS+$KldHfFF-jwim>+%Hfzub7kPbI+@a zku{twob_&_5j8HqJ}r}X%!p(x%(GdL&>(*o(n~VM-(^3kcC(U4neYsa`ciiQ5QAFc3OHsU-Rk5VrTvTaS<_CTV#LFLwS4Z15pYq!9FP%N$ppC|P1F z_-Tsr=nKeXNdib&*B7>JjI#h=vT*-C=xOAAd2CPuB%DpT_*#@KYyFYU zYA-oB{~r|nV;~|_D1+>T@*iu#wvUbxZWRyJ-htq}R7ik2mN2bp3KL8iY#_Vz8IZIQ zhgBnB_2u|{mToKrQsgG8f;!Hv7S-&CzWfV)38kmw-yo%M(=jXtKaiZ7TvF7^FM~3; znqVSBucF{SFbA=W#eEdhxMk^(2bswz{dg9hL%$rvmMRwDAO#;oVU#?5-W6=y0qnDP zAS~;v_|5Y0Z{x+h^&d~ZXB{BzCOVug8`6969`>AOfzCswU_e<_7>VBjG#aRWaBeoH zV)>9fSkP}vpkgJ^FfM%7$6KJH+%1i=jp0-N;wFfVna?nq(L#PY)M^IFquoz=&sg+j zPPB^%5@eU!4I9g>QRanAJWvl2-Axw~0A4VUJI7D^Kt$iRb9CX1d0MOwG=B1&r;0B> ztr4YX1|T%3RjP7ai*101C7{RP0A?<3P)6nj!J4r52i5>54#D@j6vzHTuOcuxS4DZ9(CUtR(28d8lX2RU z_c4`vjx*gWj zF?Kbc-1r|Y6VjF2&~pyRcK`NJ_5fRE=5crCR=+M@D|~zFA=p^?l-$`{K>zQS!80K% zsAUhx(`A$K;FG9j4m-?%V#HdSe!~=qKILda=`d^_wFSqM@rRhzlVT`dpfxb0`W4y` z%O~$<$H-@>Q~hkE>7q?b&xSV!{X*%ZB=GhIo^Ok0mOx5*E&;afqACOnAQkq0&{mib z5fg6YIdl~c^2YDQ(qUBhBl5a&;ayIB!|lKPxjfwj_smq6t4@i$J%nDwo6J!$s8}Bf zbUq?sV<?p1`EzJhRa3qeDGIM?6_%`egj>VFGjns(#Kc8Z`joV^ z>c~1h3v(}8BKLn&&b_+}yxF?sf8?H9@(kIDD7#JmXN!%)&6XXB!mWgb+y9pq1%^M} zkJXHq$J`*?)*@3Ft3glkPa-#D0<2Q;G#%29g~y@yZ9o-di8NdAzFnTZI0X-&W8870 z7GSi2Fbq<}U_fJvGM{rGhT5Y3YeI#}n2g=v|FY$9HqAhaf)A^(18sYoYxu(ja?cph z@FtME7jCk-9;+w|A&_CHs2Y#^k6D8ENu%!}TkVvkpWuvx%9bRU5BG}Rn*z@uRLqLX z{ijK}Ve*{5$E<1fsgf3MR4ixHXA*#s_GP#MQ=I}AlmlDi&S+8@xfyG2CD$2E!p{Yw zGsl2^t2bJmW2`NWI?2-`lc+88D2DdDY#6fwT zKMq3xYZ$KHge%~-0HP%wpwG4I&0@GN6cy_rU4&-w3+inm2Cmq53J#OFd93{rV_}>f(tJ$kIeKP$S~oc*B)` zvqOYV6={0j7MNb1TMN1eTd6HYAxodYApB;*$R|a$B>a=M@gszGcx_j_fS=~>a13rL zI+lPgt96ZKp=gP&GYYjcTu|-a&ThjIZo=FdqC6R#JS+|)k{pRtEzb2dlV~4iM#{7# zm1BK!(zRj<32SsxlqK>uiPA->5aSU%KuD@JH?K%cbe*VbawRZ-s`1PPC#ZTRCdN@l zp-9_2p?7a1LX|^a%%!lu*KjK=4Mt|C@BgPbx78c}JMZk`h_K5sJq`1j=hx@ip$k0w z6eSJQ_QY=jJ`ZUh!}Kh(!GCH)(l4xs+1l#_7`U-Rw%1!EYgpbdIIN-4%bQUX#z8lnMe%Ij;h{5xT#yCGYP@aCs2+(5jhqE(l;<9%;5>|0V z6&n4;qdZn9lZNACrc?zY{Y#RZfL5j2c;D5h5U`efCyB{*IzD-ad^x zo@L$`SCNn|p}?uTZXx}U0;e*z)iM0;kAFATT}A{{18R)`l!a<=OQ>X@BKpz}YDl<| zt%h3m7(9u?{RII#j@|(++N|veFWaRtus@92G8g#C?Hm2B!LMuR$k0dObVCPc`3FnX zRaiO3?8lT^3>2q_wy4M8FNyT)mH>XeK(#PrNe-j`B}-o^$4xY-3SR0In1+bM=#tQR zhy-Mu1?N(bPQ0LJOtM%c#C5+%n6Bb6ryiyt+`_J92DC)E?TuUgKGD-3^{csZbuNFV zHFCK~`Q}QO@t}M3>iq7LSoE)6>`mp~-*XQz?TMOUwQH3tJcGSr{W(oN?km%BC$Uwm z$E@DXtloXU)uEc@(H^_iW6Mj&mYXiEF06K68t+-v?VfpzEuLImDym;?&F!ySotrqb zYSO>5wA?ZE)E>(SbL^@A`uO{JE91E7^78Tx$)@@{CEq6M-$kr0=GTMV<$g!sRr~J6 zTx_*|b!4G`^=<#Eo7+(3NbSmK&)9xlEH~?5;fhqX9)7Msl=c031wD1H)nmHr#z6WkdO}1`4Uf^0EX0m#(V~5}mZR1*LdqdI4?8Tmby`{t11$%d$byAKk-Te^z zrdO1++t9!Fwc&)0yX_p;A5$j_C6!*kOI7%^tT=b}MqCPC{B`(A-;S@yqkg;a`1orDUwgs8@0WAS zpQvFHf#UVeAVyDxcr=*vRd(@cOxj_m?vR-a?zTp2V zvWAsfP*+ph@3%1UVDFTZTbY<+&YX1tslHW7a`Uqll`rAH4n7P?5Ne#@{PiOmE01;T z50mIsukN)-@csLUOi^jEOd(w$wY>4#K;dVfdA?EK)mEK;$!tS)jaS;!%j1*d6EnV; zTh07zT3^5-`P6L9GtH%g1!l4x(XtQy!ER!yyL9~9(-MF9)}KD?aQCRqly7VJ(%zm< z^%>u+v#wlXU(eP0o#w3U7(O>IGquqA`bURc!}wg!+%>KthdVo#>;C@U9bS9J(RUq& zos~8$U7g$KT7E$P?A-6P`hv$_CC>OBijKoxvrM{6ik8E?e}*_&bqXIdER5dxSIwTL zy5EM3TwS|eJ`4GB&HeoWcy9Vf7oWN1sHIui595!EZuySPGv}70k118YwJdhKvwUji z{m3(xg#8iq8!KKlIR#Oc-iX28l07w2zor*rqvyK2JNK?%&|h!W9et$n!_MG#;gq^B zY1n0|Q_lmFfqap zw~OYcf8{5Shz2et z!He{fVl##D7Og!46(TJGZ;>M=Se?P#@=iyrz_@wzkJ@*eigNDOe>+l?QzK}O7QGCw zeGp0M+8Z!gqdfnSG)8_gvN5AnP!PY7&N&F8{~nhtG5Xp2J#foZVaMs&O>?)XQ91J; z#5#T*pG~bbWKwnAjqOhQN0fz+&@R7tQj6^o=*K)MzZa}oWoDDLOV2+upH~)My6SK+ z0CVoIvtIu#uK3!HC;bY`s*|e|#&r&DE1wp}kM>8es=aqg9z7FP^t7(_XY$j!i)7`{9}J$Js^6n5Cz4$xkI#I-b^1f5MU0u{Y6^k(sLjTB!s_jcX=geB*QW2VD1ZD#14-{7h6umM=rn=G$yp$Gi9G zi{20So|*N2i1qyndARzM`{&fl)|#jn>IQ`UxqQDWZGD!%8`6GU(PLD<%KTCmJk{-$ z+SajmWl8cci|X3e94DJ_8_Dk3fyA_;v6?3drJNH+->{*AQ4?&dYDefK_j*(9zq5;M zPR+QU+^lxEBhbHSHrR6^#WP3A;_S|<0FfPLIZg|a8c}C%@Qoj6HgI2G^JHu2P_=($7JqMU;n80IZ@uR>{G2|Q^Yz(m z4bc4MJ;VF!;qo2qLV0(chKlA-?-j=GiOEGPj)0=5<3}}@2dM7PyID{6oV)foe8FJy z$IwrPa#x#KSeR|V>SEOA-jZ97v*sG>^)naZT*$ROBZ7-8_p9et-+4}iS4S_uGxn=H zv2adgg?ylIL^E3J_vrM4;_rJ@qE_GC8a6BLFm^dMQ~T-Kp#cfKp&ePjs;{Px&wg~D z9~eH85Hi(I7LYWat6b&NvP(}><&<8ps#RH~%2~_7sj9A~uA!TLPLtDYkBX+03j3eb z2`OIoZ}=f}wRHaXn2zrMKc=OnuA071i&H>Q{eK_Q(MaE+#i_SmLnqx^i&Ji=+W&ft dmWsyzzNNO7W_r06r#X+R7O$+V$$nGb{{wdP@BIJ( delta 11615 zcmZX4c_38n`~F+XQp%iBvSgWKY(+J;kR{{65HcZIqHIZ)vQ$W?vUDa(*|WcLbmW05ke8N_IsxHeLvst_xI@^XP$YUInO!QbKm!MU3Zr!1tTT}FNLiMTN}m^ zwk~XaG3QMVtf;%gwXAjKg5%4IE6#_=`X_H1T-vN?tPvU&y6F|;jHkp|$?}yOi|-F= z*}gKn)mksK-P1Sm$PO*5#gEpr*GiWHhzHO^{OCIhPMh69io`9$@Wrd^Y9EerAV%J) z#-OB@gfhtJcT@1GGG=TSPBS3Ve^ow5Jpg&yWLGhkrx>?!V!v;8cv7srd$ucio2_-A zqiWp7+~TMq>P`j8^3w@P`GTrPoQ^ewBqZ&E zB0Px_=ymjSGsoJt0yt244-VA0b45%G*bXP|+Jv&W67j{oJ8B=^mqR|M7W*M|g)D~b zJ&d2O4vL*;ZqNsbJ&JP{vOL{mG}PhBE2)!|QYX$gEM zGf$?GJPEDabwR*pG<641&cB-za|3@(X0B!+6v=4Z$t(#s1&A>S81>A1R5`Yu+OaR* z-2I06tPR;RQj9q5rS`0oOlr}`s4qjqSntR~oza6;E55wMF>zNRKQhk(p+|#OFGb7o z<|h^^kX<@g?AuTxOKKC(tk26RAv5YQPn&8lv*P9WZArXdnNgp2@8R7rpnR4<|8-@; zUlxg0j<^|*8+f9utJiRk&-!36=;x^+8774jndKXgk~0E&>!fVGFcC_?dZeSs3_z^5 zy%-B-&_eiQ7bPy+4$mA4AoB@QLB}$%)FL1a4uEWJE!T+W+{HnAK55UeCCZ9_H)jN# z(r}hDnVC9(#M*0}SJ;cw)-{9+*c$j|2P8sJuf8yWsGbmN2v4$tW1_TO#cv8{{?PNy zc1?`M?A>2Iz9tLtE=uPmvA=@nA-4!(-?&4v{O#t^viF#sxCC775{B<}V|pyV0+xsQyT0WPN|3Z9dB@n#%Q*2iT_5&A<3 zCau&|VTmDo7ok_*sYR<8vi3qR(s3uU$USK@YZZS2oqNKzABpuLF)s#gplF5Stb7;7 zeK2$!Sk9=UzP(^5Sv?)MkH_u9aeGe0iZ6zPwIqSsQGp89NJi7*arv$w0b{WB625p; zscw53&Er^h?!^ochns}qbz(qS;6Ri;P(B2o;j(knO_xK1qNY;J<7U8_jBM%y%0DVL z^PsG?pndmnHoi*|Z9ayVFZ;?O9Zr|=b{XXUMB`zUHGV8~e(6e-+|o4?hg1+hQk#$n zEU{C9Xq++{*RZw#r%@R>!tppu5@K2O?GlXWc1F(O!+?Bch`LchC%-u0-x%$=%pQUG zP#fb**)TzXPeOoi6;}#zjK3>=Wp(C^SnKW(4bda?vUi2gO&%h4)zN}DJnlS8Kf0mA;s;UC-G-Wz{^ni-^x z=L~QgnlzG`wtp1XDx-zmC~LhM($QxG>h|^5kP1pTk>%p&J);I?t(|b zwPz&C-YPcMD-<^=`fki+RqhfgXUCg2JBiwbkO#n~9*Fiy$z_&1> znq72ZI~DMZ{&jZ$tuoO!rA9e#N;#(UCNACZ*!Sm=pzW^-Z~sb%ap;-OW77Z^DbEyU z)6T;s{AlnDw*r6bg=E7GoJts{-R?hK-fgBu6mxvqUgVm%H}oc(L#=vhr|eeJu%*ulY`ZjDAG5HY2HJ+$-q&$Wf3Kij{l zh2gx8EhU2sDYm^o#lFIqz?-F3!ZAQB(VKJKiEO$U@s8Tqa6n|akSU6VO8v}z#!djw zI|uCCyK#5Iv%k{XCf<&7SMh$(XpG0VCd;k1PpZsYPYh}?j#XNIf8{ps9__cjjT z_67RGfTUP-3|Edr_w1-v|L^NyeAnHQqp30ngD9c8kph${m7KY2;-;*kT7m+z9x0?i-e7 z-VDVT?cC~qkeR2C^C+R$5U`~Jm$hVk@pv;P!>I3+W~OG_>tpW%?`y|%nUI(sJ5XOf z)YlI9Tg<@|+@_9>?XDKGNWeY!O{g&HefjADUx1|_1+DPW-bg}cbisZrHXcs{!^{~rzGtb`;&(K zSCP`k`*&r=qTp{~}K^2IbMXuPOTa14!`f zPi6AcArn&2W5|ZsQ{>M-I|35)aM=!A)|H4DPM1R3;fs0%^3|sM@i(N0p8Xj>Jcy?5 z0?J;5zLvH^I5u@{US4F$BYJn-3em}Z5L6d5FCBXVZ4hkfMlM&h<_ zBPcInxj$Uoi82cka03k_TAhJgjFocj#2jXrOVQHWo@w{Dv>2VYlW`f(jIL^P4 zWYrID-v{kuI`Tv#FqTHTK%hr|1-B&`w5tT9Q{2!k1$WtvdeG6@hjk?8*mD~vZOMt!)TDD^U(F zA#rG86G=i3n=05qngO|my_!a&2<0*EnF1HayqO+G7(?t3Er*fI)3&#lIULn#v?;PL z$)+yqmT2c14^T|Tb3W&#Z+36Mr!i6+XG|oKYv$9k*c3B# z?%Oyy6;eTAL_rADwx1v0v71dP+JjPXo1(Mm>n`O)+{4HS%&sHQV@!cbS6P!Ufo@Es zKRC~<|6l<8)>E78*-2ABKC1G;IYg<#^8G1+?%asLjf;Jsij%TTY~p zzb~xEXsBWzZ+0kdas?mjmSz@&<3Ag_e~11{etP4mqMIPHDNFu11XT{PO0F3ePPKlz zC5e~#PLymJvW91rNMtE}yQFSJbB?_c5oex4t{o7vvkF}LEJ$wese$@{x?`=~oCL{6 zm#UH>K{6tdR+qbB%!PT}-%nLwU`;oN$z;jnV{Ueqm|uovW<$7p%I6clAJy_W-upQX z#9Wxmo4DCB^x}+W{Kg4xXKqY-ThH--KMS@%Ab+sR;CHXSo9qJP@;dPw&-f?J|EYHb z&1wjTftzMnt5kk^J9}c6YR7%k2zdG83@`D>SY>+<>pXUe8~H2-5_TSmZqf%oU7t>z z1PK&IPDiOw8%%A-?`cURcf3(!QIPNngo!U-R{+YL5=?qem0qRhuF9}U3qc-)qfLAgq#&vwa^ zFe6a47g-PkLp$;Mz|l-9(2mA6rIGU8DCM|>qa0i4Y%h?YuSyK&Ya~&N~$!S zY~h(`KHp6R0tR3>9&Zvrx&v-?okm&J5VU@!yS%9IzGHc0Ws1bTD&`DgZkY=P5W;Is>c4!*OxPR2kn9S=INzAnL(tdbqv zW$3mL7$;zRQF>d{?Kp9q22WQQ>V=tW-0)RB4zX5rvd=qk-DqPl{A=`v=@3t<@O~a{) zc+jh@TfS$&1XraWOo%-}h;1RGSyXU-L@B085h+(d$D)r3`UxUdK8?geM!i0x9xE*> z_mmoU z#S_g<6t1GVKfXb5_}~?6LS)(S@yxnuN6DE{EBJ?dJU1Q7@DH;psB$H8qe z&~C?DfXgAHf91A!>RpZpfu?27oigbr>v{!byzWkChbPPHknSNqP% zIOT=^{>Y9?igdoGDa^mW3u?^2Iz3!H3isfZW=cWAbxa1W+&?g9TXir;%-W`^X8_PO*aKuPC4p)XdOaUNB z>)d)A_lHj)79J%RkGuG={jz0Av;peKN@%7$y$lGk=ZW;G^m^0{kR=7F$&Q<)epkMNA?-?80v1bS`A+6sptu`P-j?c8wXcNPZ{sQ7!1FP_ z4Hgn3s!Fa*c7KEbMIj^1Q@W|kGjdEMFFuG6YePh|!@Pn8krZfT4L_Dgje)ZW^~bgJ zn9889SS);jixTLCED<(ai{L}Yw1T0XhD4L(vkidW72JO}`YspvA2kfv4=jJd_bhbd zQpC)mj(D!e1iIB_+l z*=Bo~ZKM=c3Q49*ZU22081^q2dZQ?rLue(!Jf{e?!#uRTrZ4%UESW@HQ5Dj;=h$$~ z{F0X)Tk7<;rBPJy9Pji-0hF~l3?EJf%6-5lePji$JG6JeFB0@~TSzXa!q!ltMXCb6R5B_00$SODZTfdQ+kjm5rJYXwA zWrlkWfv!~nZto*7G55#YjX|mb(2zk!vDtO*kX9RC+LV`6S&aI>6bzM8#%WRvnm$e| zMPk1_Pk^=WKCoQF$e9#Di36I?xR4IdDBOjNG!W3Z2h{}Kf2`==>J28rjS2^Q`2Us} z#*mM0zw^0S@Jn3}G$Umd91Wpy$u_SOlO|5i`5fWquqi1`?h)ZckHM3XO6PBlBQvF_ z;B7bKR*?xviNqBXan?bUIVNQDVlQ%MCvrzUZKt8bEb~ri*r6+7!wzKSvORV7bsWBN z<_bDAcQdJMX!V*)dGwaD14d;Q&Ax9$wFoceO}5|8xgC2HrVdTu_a2=_D!43}!A&%4 zRctf>RabD$ZNGES1!28fc*v>5*eAr;G=3!E&Zl~qcKaYaL|}Pq57I4=@FnXp(x!;# zBxM5^3&t0@^Bs2&qKdu1QcsAd{lleXk5tY5;kd_hQ{W6=)`SUo`_W@xG+vhuFl8sC zl^d!Ig|<>7;OvPCI}=*XWzhOiQ9C^6Fa&5Pp5wL(wcwt62()5>Wg?0ONTGOAiB{ai zgNi`XY`wic8K<4y1ue0{D4ZM$S-BZ_dni&8zOPU5cr85EmGQWT*&AXiAQv)n1htWp zw@~RR6j!>V*gqP9?HMaPU{|aJF17z-AG1|Kw-9xjtrCCBiNB{-?y~C=JcX9O{STxU zJ6=FDz!=ibFVf609o*eWv-zUZiB=M@yiP(~IT78vQ_!gpG617+JL}EB$=8G$j3KMi zttPj`ir_`B1RdL+;fkgnz}=xwoLh{$*EumD4}sMtV++z;0AH*}*If<7)Cf&Q;fo+M zk38q_Md-H)^nkm-Qb`WI^8Qmn{;M5dD==sKbH-o7Z`)okwU=Sjk`PT~K^P33W0d3d z_Xx39k=P|N^NO(r2Hg%1U@6ImlzXDn;~Jh^NVhRsCKg;{3MxUu$tu! z=bqe$q-cnIAP1gw_NmLcA=~ORNgA#vGlg>)?k1AV=f>?$SMUhvw)sIIiLGy&IiR&| z%EQRH%Li`5Y?q%_@LmmAo)bVup%C1Ivarper3&aFi&C>@5148;LUkx~|IW6ZyLtn| z9+FWT*gLrXJY5$MBXN&BeelTu_-d8IOa)m9F#sjPPzy+eY`+u=xZj;0wj^XDMQt=- zbC2VH>-`sW+x{qu^Z^)ah9?7OxZ$$Ir1;q&?oO=qKS`6_Uicg2Iu4jM|5v9Wp76uJ zH)$f-`G&c-Otw9&EYx>zbgAm0VIINX`T*sn(Wm$b5^|hrVj^;9QQi- z^JW$cYy-+l4DL@gUI!(a6~1U{74BX^qzAO{Qlt^nzT|0f7=(M!4SXo8L=Xv=L;6M_ zO$|sR(Ca1E47@ooo2Yq=2kH0@B_TkkkAQXSM@#$goJj|i^_d%4Fh^PHB(D_U5)7R( z56`^R8w4aQ7fKb&gIf`sbw~;n6ZdzRD4~TEM!i3O?0q6KRC>!bDSl$#`{D2?l{^$$ z$e0o_;wBYHM&S`$$R<0mZtFKS#YX6x5nFGV0zJsAm|?^ft+h@b-srpS;I`ybWgH1rtIIXS=Z%usmu?0)Rc0fje<&E7C`zBcI$Y`rRxZ&$# z_d8M!0)>a{ki#HScRpWIhamn>&V=O-%6cwAcA)-FqQ3`Vb<{(cIsw_vu%K1EPU|=V z4VjG!j%?umcMHK;K1t9R9Eiq~OwiX)8M1-b?9D)m5lEo|NDf`s@qN<=kQ|;g0P51n z-s8!aoM9$aLz=Z1?s=x46je0&;GrZob7iH5I$ly&gpe|^$M6XRG zKPPc+!NNt54puy=Zn`lWYzfk8B6V7XW{Aav^l???an4unY90}F-kgL>pz~z(90}bk ziB?m`P}Euq-6n(f#^at|Vvjfx8x5q}1TB;UE}e;~Tu6!ns>qKPLQ8aJV^1Mo51`{B z!**PvH$JO>e(m~bClU*kskr-N?0K;SlOljbLrbP=pcG%8;maR4g}n;z-d+t8Z_pDC<$Nk<+nlZ758R1F6CkJx1WM!vKX0MN~4+3 zXc6E4$RLvoY3y#?Z%Zs7DXYW7=I@~T#|OjM7K@(yzJG8UhdkwUSkhkSKO0Z7Efq*D zGyQ)DB%Jov_eFY|SHbXKM%Mpk(?N}A|6whGNb4afrc?xBWo4J>DSkR6k*Rn1k+U-l zb}kQ3z%|x7+Y;%ik81az#;_kNC5d!=!Y<>PX}l%n(n#|MVA-j^R>gJb&KsH-0aAZ1 z#1x7csB0e0(|bMGa*keB)&~8OopwFy4B5Z^YL78v&=ofdDMQH)DQ49sL5poj_zn|j z7Z*h17rfBvJ0L8Y*^}8YH``Ttqe|VTHWdF5M>4_dVHQ0_!05RL7~D(NFQIdS+Qs9G zDQDPPWVMMH3tXxg_0YIfNM?Kq+U&)RqzEG&@g~4|H!5rw_{s#E!2Gm-~I^sTgba#g?>vvwUIrV zxig8qTy)~!weE&&Glt^+#8IYzZR2D%tk+4NAahD!i_)kkXIJTZx9+de_)^6)_9 zA@n9AfTVHNLVi?*(2o%5H{tX7d)h&Rbe9A((*V8eBZ)eG)wQ*AYdxdIUs8vWnN%9+ za-Z(9e%UuEX+VtSBcayp{(R{+r28;h=nA7w-OC#-gpRYHH|)-%Ma=|NyxxEidy*J? zpAdW0lmgr0xh{;H)O_O+-C$C)=L z8|5VXv77UsemCd6i`mV2nlgiych6)f#s1rS8)&KY6hP zQAe>clJZIkrbLL_GB*Z$-UMBSKrOW?XxDG7+2Dkqwa2diW5#U%J=xD;Ot^s~ffWi4O!3zEkOFSJmdQSXExSZRxQZwAg%VdPkxjZ)`?!q3DARYXwX zUflhm1nM~!0?!^L8rO)ehrN0C$BJR41ePl0Up@ioM zB+65u`#Yx(#^UjIRph9iMY9}(roy0E!JKM`#)+!^Icdr+&4`gO(y%QZgk^MJ&jpqT z9MLiVJVonxToHDB3ir#S zugy{8b13Ux6z=OOwg-BEJ8=9^9DWGOvf;!xTiMEt{_Bq`H&v!c%+!r<;nqsjB$+48 zfS(DPYWzoskp0$eBgo2=s5TPV(s&HIk||(|1w-})F1xI8&kMyiSfFE$kw-v0PF2;b zmp}(}K~)@nfd>gJlpB+iM6W;S9TP7QY|ED^sMww)*!k3ICzNYXQyV|$b>91~b8-3S zRqKw*iFMPn#eP_8^J9LNansZ`KxbL)$ zzF0mw+Os0p)A^^WTc%LQQuEuf$eE`pc6*!04jCRu%Y5>~Zl-4OyW{Gw;&sBG21=Z{_=Z%qsoF*wpp@ zfW}W>H^@JkdXIGvaJRFvmuz$fOauE0iUtDb0$H6bq7_}If0>{c9I{E_``nD-(y1I? zt;tlxZos6-@vDVSe&*9EUb!RR=7Osq%y$QdpZ~dZ;Mqx^mS-y$UkC|hm3(;$2AAt* zXY3jN0-mDPF9RJ{0zv}AxZh}7jeNe;CcM(Tpy{yBr^6q^SE)r&6^$*@TTUEEncJ10 zW^=tv!?$Cu)RUIGVdDIF%TkAcp~2`wH(UNisnQSqLMt}4-{-C#3yAR;H?u#1MXY{a z3Cxr~IdOEb^#p%}*%?iatd||#?~#%(TdWnn4L&~gD5X1kV01~%Q9MIbsW@rm)swmL zzUdQoF4fuQ7T5{>8rSNtZM!MAVrMEf1y(+C-*Bl8?n)#5aV&FQW#)q0^vl%#{C$I? zzbdY0##T?38)}^n&9to^iLde=(eydeMJHeUusCAa+PS+ki_duP$zSemJ{!fb==Z@R zqnzTatJBmVhhJl2b~c~Cw$GF;_kGZxe;h2es;=FsU>RA3&E5M&te)^7Eus%!b?m;r zFmB=bv*k&8egGJEollaUTD2AF3cQo6f4HUhM+xc~p3-UUXxRMb+Qs0Rr%no`Z5joA zw^xt{Q#0Kjd~#aVCr_Lb%%U@OL_W-Nw{9%t!>Wg^u@KP}p~nM+BNcN+#1psbRUFML z>J)hS^MlKhFq0McxsHypfNHU8V{(=QnWkqlv%W+NILy~=S@_nuSfukz``q({$?)0w z*vyX8dSknfwJ3FsG5YQ5E5*u=-y7_Zl(Rm1IFqY%o}hW%t})#zcXsye$bp;R8<)n^ zmTx;`zAC-_PLmnk@>oIgdyj8eiC}(TkVDCl+)bkQ9z00H+8nhGVx3PNv;u#Od<|5o z`#QgUr9KBM`Oy7#rQ~w^t=JZ^_a`KG5Y&4YUo)1Ubp|(InSL@DxUcd_)nwXm2yP1U%gbPK+CvthP%e)ub%2mMi%BAw%lpbUTiq|bg|^4$ICMB z@M~85r)+epOxIv$Wz9y<2IPKGrhl#IU9@apjaXhfoj+3aCirpZd`r99hf|o?50RRu znLg%uA01j=3C^G9n+l!%jES$!ysTpwc|sx6IkKv%v7yH{t$CTBg* zhVadg++WuIkR|X-^+T4-T<__D`Z^!p`H6X-nvmc@xGJ!EGV0#1aqS?3)rt|Z*=L(H z9DNe~9_v^w!Ue-Wqv19;j|^N5{wZFwc=F?b;N-_&!tj^v7D66RrGEB#B32XR_;|VQ zG?qHL7mHZRi@hK+d2s2X$Yk%6>P_=~RfA%aOOC5vkFRcX5npY&{KsXTSCNKNnW2sM zzn6VnweQpVpp*7V{l%=&d-ySZvG;WT)IO7enw7u}aQVHWpYUN$^+x%?w{Ygv=J~}# zFDoOKChyF_X9y}bo`k!z{?vIoKYxlBPRAA(mBZoNJy$aYzvz9$em_3k{qRZo69z6lyu@eIkPHh&L^X3 zaWEJiB9n@3oC*DPGT<%340bf`xkn)$Q%rbY<}PNEI1=s7stGiRPH z5JxQ+5ciB^&!x42JsrEFDpLpPSi|(RtwT)9sgS+ZJ)e-_R+sDXg_o;YKWo1S$ccA} z*<;$?-&#cex}MeD+!?)R(XV0N!CXQyZ1_Y~{ z?u~cydz`z$vfur#YQuHwe&eF*9f3NG<>}aKdB;|YFC;8$+^x)#s{SWj=uFIZML?0-{M-g_G@E(+WF7& zR}T%1Tz9ZtYMULu?m!tC4{EvkQC#YCh=cQqnyk$O!Xi@~Z7t$YX{)kx0koYaRcP{3 z)aOpQgWVsj6&&*NE2_V~diiwwNDs!8(vBDt|FvyuYjP}wleAWmQdUgie9FPOM_oy6 zk81Kc6;4BpvPWVM`=5lj#0K_X4H#Q&CDjrphV3L+QUZqq;}szi+&E@1EpGs+=?)Mal*#DgA>68~z_YD=GB= diff --git a/dev/_downloads/0c7c1262b6b611b1944eed12f33413fe/beam-5.pdf b/dev/_downloads/0c7c1262b6b611b1944eed12f33413fe/beam-5.pdf index 7c0038e8ac71c80e40cf1554ca2d61e727edb47c..946e328ad31f6c7912ef84aa52d13cd26f43c2f0 100644 GIT binary patch delta 19 acmX?}cRX*yA0swHV_t}FmlPX@05 delta 19 acmX?}cRX*yA0svcOJfTI%gs#2t}Fmlz6QMj diff --git a/dev/_downloads/0eb265c8614c7bd3f16f6034d076f6d3/beam-21.pdf b/dev/_downloads/0eb265c8614c7bd3f16f6034d076f6d3/beam-21.pdf index e653985ad2457f4e4c1543e74f2b29f5be842e1c..05db381d3370580e95a198b89d859ce319eb2001 100644 GIT binary patch delta 19 acmcbadNXyyHa#{&VF7M2#)7Pc1lEgZsDY=*{0CMG7^C9OE5m;n$p3qt?^ delta 38 tcmdn|OJVabg@zW!7N!>F7M2#)7Pc1lEgZsDYzCIbmIj8~C9OE5m;n%M3r7F| diff --git a/dev/_downloads/1362531cda049d5b7f4db4abe11d4178/plotting-6.pdf b/dev/_downloads/1362531cda049d5b7f4db4abe11d4178/plotting-6.pdf index d898b9e9c744bafc53b1db7b91ef99cd6ad6537a..2efd0fb9e8f01d02f9b27bc3ac6bd8603ba57c9c 100644 GIT binary patch delta 19 acmbR2HQ8%}tP-1{v5|?9`DSIM4@>|&@deEQ delta 19 acmbR2HQ8%}tP-1nrLl#H@n&VE4@>|(K?T(S diff --git a/dev/_downloads/14bd882358332276f28c2e3ace8343d5/control_plots-5.pdf b/dev/_downloads/14bd882358332276f28c2e3ace8343d5/control_plots-5.pdf index c2f9642f1f0acac3990b5551e78d16dc0af6fe75..cee7f316ebb5b3aceb0bd245c947440531c604e8 100644 GIT binary patch delta 19 bcmaD__q1-qA}cmSVFEiAIiY=*{0#wG^am6chXm;tbo2?hWF delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiYzCIb=B6gwm6chXm;tdG2^9bU diff --git a/dev/_downloads/16f8dba9abaa041f16c4636d6e41a0ac/matrices-25.pdf b/dev/_downloads/16f8dba9abaa041f16c4636d6e41a0ac/matrices-25.pdf index 3c93d763dca407e3d393025324b0686b8cdb52e3..a43e185476c1ab3f8209e8fb6e0870b3f02034d0 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#wNzw#S>Yim;tAV2-g4r delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb=BDP`#S>Yim;tB|2<89) diff --git a/dev/_downloads/1f24a27fa4a24f0b331e9442f61363d7/plotting-16.pdf b/dev/_downloads/1f24a27fa4a24f0b331e9442f61363d7/plotting-16.pdf index 7fe15c78ff102f5fedadc37f31379e058d614f6b..38536e65c80caa2531ba21a71e4b48c3629ef589 100644 GIT binary patch delta 38 ucmeBJuF$bup`nGbg{g(Pg{6hHg{_5s3&#WjHbY}06Jzu3(*!s^F#!PeX$!^x delta 38 ucmeBJuF$bup`nGbg{g(Pg{6hHg{_5s3&#WjHUmpz3saNr(*!s^F#!Pe$P3Q^ diff --git a/dev/_downloads/2019cb6b524d1d6351bac9c894de42dd/plotting-26.hires.png b/dev/_downloads/2019cb6b524d1d6351bac9c894de42dd/plotting-26.hires.png index 3ddc9e0f18faac75cd042587384bb7fdefe5f967..2eaf5140c92f4477106f654695292227ccae45ef 100644 GIT binary patch literal 30783 zcmeFZcT|AkIWpGo%qopbK_jdB0GW1KrKW9$uat#5vFzVn@LeV+N(Q3EZ$ z^#bcDisI8g^7F40wHAN!lzp)dzwFx^yzonj{);Ky$mKlU^Ni~`O8*S~f};!F(eAfh z9_L)$>|C5>B$Xtk_wTZ$(=WIwOG!EX*B2yRTy3PjH{fZ(AYWcMa?*{Wgr1TAaXHtz zt5cL`s`k%69={azxx@2bwEJawwol!T+qY}CDDRd1ao4nv<`>4h0)O~>&(KhM;jrb< zVo8&yUvtjm^iq?(`!*l5<6i&c&%5ZiC5vfmj>OTvK4K^;Q>r1fMRV_7nW^ZhxBYGw zH6b?DN=p3(uF`JRekJiqIXO9Um_v`Dfee8XB@cJsC`h)Y0Om zSX^W^%J+GNeGhbT*mJt&SlK$VvS>YBUEONcskgEU3N|Y<%~FEARN%Tq$YQ{n-5uifnqDhA3A6vMn+JV(EUngp; z48Dz2kP>E(U(4dKm%@U0C{4aSWDbAnO6Jo{to+=YEId1W=L)+d$QvV$Lh5vGx4yR( zHX2JUw2FY0=74jrZ+}llJ-SUzhnJ#uEiCtI#BQ^^^u5nmv1g>q@(dJu-JGmeW|MFszHy3XbxdZLzbrx36CkmUn!w z)8#SLkhEQyZX2l%4Lujmy^%Uv%Mj6Z?F+X_fc|hMr8ta{ysi>D4Qlf03r#BUU+gi? zN~zbUzr->j*}fF375hTfR}D!ho;7dTGb^k7yMz2r~46TKRyD6!qpH zv6qib+#hD;?{&T^A|x(YUD>nC&$DwXX6|m# zMoN=s^>Nm@%FuY9xzVvpk>VLe(&d7lrx-m?x`Qfv!>l?Jw%>%cd8iNxbNNiw-(S1o+n&M1*y_1b&dTRf4%^Pz*?_S;rNMD)ISuo%vykGU=wEl2 z2iIt+Pu|HZX5X+{{!M-SGJopiib16Oh+synl3U-tE-{L_bqHRzwqhi^-arW+C9BQ3 zFs*6Ks^qy8Bx>|u!ll6hoIGge^6}Xp;i_J)lKDN1Qx{)uZLv>Do9yDObSX`~-fgnr z9~lvGVlme!(V(jK{vnfvgA_GTwCZ@;rTiyu_`=p27#SJ)FV@HQP1hS*#dnoT8wF|w z3q}8oSsc|Ows+lyI&HCDhOVSGhrKejJXK@U;oj_&wG<=o)Oy|S8TrcM;|&L}0g8S1 z&N66I{WUc?&6ehhd{_(_rj~+ii?{aIsLh>v3I`!8K#VibJ$1ju>r-4j>%P(ZkA!6d zb)|~wFBdkcd_H>MOFVv<%%XOFqC3m>-QS)?RVQttLmblcMYS_uers;sfO72@a(H>yLDu98Y0QAv#J!jeBG6v%OA4B-4MzQtDBtr2abo^z^QCVd*DNr`?&Q|Z&D&7-_44nRvBvi@7Cz3saprZp@ajFdK>Re*OJn#iw0EooX%TBZo{!r2@1^3&&<|ITv^u&c2T` zP+rd69=_K2V{@EV&W@p{ye2!or&7*$xHJ9c{8omcO%~U-Nv0-j<^S&X z=WL^#3Y?8L5>7bu#D^ts)~Vc3!Y6;^)yknCL1fJGx|KX183+q9f-{Exl~_%OA;Yn|yyZxEJA( zK~0QW7IG<@vEsSv?KV+&kOU^u^#sa3JarNJe!hoUaV|{6AtQQvkomdD&3zL^m(Wkc zPy8Vy$CX81#vc{V9-f&wVJ@;;tMy5o+ULA3|NNOI^R5|>#Apw*YL&5~>7mAyDjB^< zd5Py&`E(h2(aLg%u5EIfDrXh_a)VJgW?<=`ZzgjgC5<7GH_Z{C3b^4j18EiQ`4uC1 zVmKu;W5Hm;$y~>iqeWBIzGFUJmD7Xu zZco>4vmUIAUuewmH&E7>sCx^yLZDl{~?r*yV;h_ifnhcTz$=aMHyPvX_l9HIjDY3xfVZ6G8cz1$ia6yJw{`>iTD1opa+0;?D zs;Y{!!N!qX)5BqoS^BOoHaDIZlD*2quX^F-LQe&AgXn$nf#$K9=s)_a^)b8riC5Mi z%B%}VzFs*%$qK*(nh&p_c_mU#JikAt2R3}r>umYHm7xdm@giM| zO?fAL)tuX(7?%Xw)h85p&&b$RpXyzD;4s`Mt~9_J@_qU*gy|{nzwq+ucytvP2vGy7 zQ1IHo^EC#e#R^_?)h3TYV(C#w z9Yp%fPj#&kj@id@mJyJ}Ac$mLZuj$)cDJ9ox-|Y=H}QUP2V% z>G=4U!Jp~BYYF?wE{zttSbFt_Kt06*5P@fQ`7fn4`K7)6=EJ)fndj@&W*ZQtsY%!Etk6M{-Rh@GH`~iN8H?8JKP(cOK@~Q zKh_%jnVPA`vKo#x?iv1TONvE9UYlf#|59BA9{82wE)&2e^~{xKB*fhkicZb59Q;}K zYv#ezGqQ3byn@H0H5P4MpROgLz|!Zl(VEn}IdsNUzdlhcuOoDNByy+csk%Z>yv3s4 zqs_Sd?%qb_%etX7En%k)W6IP3TaYr4-=F-+rCy)OG}srtF0eQE{ol%cRl2AM40dTK zEnoO$7X>4GT0}pb(eCdf?P%)yW^d!@U5c*Gv+j6TqLr7(LX`_6r`ce(t90KQE|xf% zcHuo$rTnRC>#QmUzpv&5Z|$CSd^!f|N?s#5_Rnv7O)+){JzW1IHJ}649G4gJdSGVi z59efLD1j+7=FGNM+|fGWz+>sApLywG4)a2(e>{^*vm7PbvaU-*Nj=z-k-WTD!kW?3 zLm@kT95Zc?<($O9lJ;<{OEes`rfN&b$R&xTGd5?qgF0LF^Ug#cl+W%r3V4U|U|qKF2f@Y6xkw zX4uTL4HbL}v>nc-X%mQyl{Zr&aA`R`&&4xnrHjUyo!%Aq4r%a zb_^FD^1i~W`RmFl#hHelm)n>(Bz5Fl_b7d!c5`#t`jR=^3=QqME}ondW1xC)@MGdG z%H_-zJ_f)4fpGaWfz7D4RBTfDZto_|?#U+JK*=+oUi7rsFyn%Bu5R25xg9=0x0U;0 z{3$QfYWWBF$n8p*@R6qO7}WuB z;W}B-D7&B9W30xS-Va9S)7b>lE#JE?FORb%R<*BU!2tdTt zkKJPP1Rh3_s<9wPq4Qol-3WS1M{9_ub`UYDLi_Ev5$Blv)KHw~SkLcU7}tb!B%kb3 zn*RV7t&@oHh{h%DKV>R$ucSW)niyYCX|}apEFYT3F-0Q!1FR5}Os%_Mn4#o$bCHMT zpva!Lesi}c%8l`y-%!3IoBjhe^hO|%`X=wf8P`s)#vQR2yNO5y%^mMVd7VdsQX$MS zmAJx1IaQ%4alK%+)f$el!H8Mn2W1EhYHqlTQ#m=`UGc{@QJ6Z%60gDIRKs6*?+@SZ zKY|ijPZT#`OJy%<_&3RWom?+MnKHQ3kV8jKd zAEshFEoUxor&9MKf*m+o>8ZN>zFbF)E3n!DS&37-6}8l|+v8+o(?cb6(~G3H%RX%FeRM5W zm3mZ%*B(5}fW^XTCB_`KIf=5BCEs?o^b%3(kFsy*`jK}phdS-f_ubK3>wE{}?Uimd zHIYGSo!7Z)B}WUy5uWxK#U>v{tSp{2eA58L4+A2y&ic&^9197AvBz;HisFH@ z+4|yvcEv)!SobRt5`^+m4OVlb6@Q6|^6;L}xUx-3GWv_aYO=klkH6fKoK#{HWA{di zqG!()iM6;^qFrOZh8=1iYOqGr<}4!j6sM2RdfMHXcXl&(2OVW|Y3_AM3-SH51<^7N zrU}N6zJ+~loE%DNq{nSB)XQy6hLm?{2dPS*^cm@ytkf0bV#y$Md-P_sL?wUnO%F3x zZyg`J4Rt9FyK*?#z<;^BC&WYt%anosKGK0Q*x6~TFMoUx8T$iOyO&Qe!uRvpiVXjd zqWRyj&bxhSJ1FsUgLOSN8oF2cQVxHMRLQ(1rqOmK(pks3I0qBZfg>7EhqkdxIa1pd zBvC=EvqPlaSnT6kr>$M;kF*P?S932!*7>eG*rfiN`a%UP8u?b^<4Va2k2aD1=&=1} z$FW9|ftR&;f4GbqWU}1vi?i@ll<5{2r^J|uC_fKrPiG>38bT45!J!l;G-iw8{^&K7 zt+?NkC}*6%k^Z5ANj5SL8+nNtuglyZr6=F1*y7nmUYOgIVlsIrnC97GEJ!uPLZDl} zl}h(m6qFJ58uP((RBJu2#=W9hvmD(6)C^k1yR@YP{3qjtjU9NLo}9tUHMJC{Ymt-m zFm!PsSZc76uPdd*y30)*xM#+!u!!0_9<52ruY#p^t_k! |o)X>16vjiK?>?|fP z(fLkY6)6GP?{k%8KhiKt!J})!NCfgCX4|rC$cwZiog;So(b0F+(F`oW&eD&0c82Rk z+>N6DT32PrL+xr*E+cYrGeB+lE`)485z5cnP%v6xUmx5ZBo4U@I5wRWTNuz{R!Zt7 z7!bdoi^zH4H}-t_&>t(XTTE=JajbgdVi~#}dXXnEe+M0|FKYidb@7+XCbLx!!%fNl zi{Eb#axru|vFOwK5N^SrsHx|6DkDCx)20FsBlvf1wX2BbM5#_5!Squl*Y47+%E=Wi zo&P0s)u&>Hl zsGoo%f z78h!mIBwhJlF6e%og8*gg&31pXixN-z>xcR{0lc3#?NC;kc#*tD_Uo@$ zQ%Lk0UXS^kgakal7KW+O*NVlSO8auY!3Yu?H$d1USKAtK%HK8?ggV4Iz%0n~lgx^Yfav`eX4oZ{2h6n%S0YBTo3=PGak6@;J z{qbRplneueLw5GWUVIqi+j;M%U}Th!^B|2PqP&`U`p3yiE791+<7lvBcPST_?psXQ zY+cE{P%~`h6$oY#lTm{kGM6`m*apX~Fx+?ypZ;OR!ei$70J*Eb>_#UkjgTf{^oT`cwQbHRzg z5arDiiZU@u}W{Q#TZ;x|W@*wh|wBifH*lG8@ba&l~bMY%bzGh(NgHI_p; z#o5&K^e~wlBp)`dUBfyHT~K7~+z>dH69v1N#4M*|=q0$9APjJ(J>W?xC z3GiDYT3R~`SK4GIoY5!GJ}yZ`0%ck>gqCT1O~5GTQ8RE;$+EO2zmS>0ylf3uT*$=vW3aukLY$e zU(N1KTpjx{yy~l~ zi%Bi@AEasSl`5Y8m6U9Jd&R9PPz{Lr{?OG2NlAP4_4Sojrt5Xfc?Q1H61GUYrV2w# zL)H{WCu)gmZ^3hM5OW8AZn+^) zqD-CCd_*DsQ}km9nh|2iiW&uSDVM$6CU&+w)BpgRd%2wjt$gzq>tuPx<(|O~$Ox3OlhAt0iC2;eQOkGpO-cH+}<6{(XITPu! znKF{x;Z8LeNc)o^XM^DgSdZ^$ZHEIOdXp0C?WQA1}2YDq_BvIn{&aD)3RRd!&2*Q<3DsYj{xblp87SVZl^G z{kk2;jV{~NNJg(=9mH8{eczBoDx%+-6Ma5vg(Ac$`kkaQO8mKG8RhgaM{c28m|1TC z?`2DaVwj8SM`V8*MmZ);F;>>@*H^*9oP@Sm|HVPUyBk?kLmetgJ-1OEV(@I*gH^fx z2h75f6gAL87IZimZ?>f+#`=5vv!`M+rbpTqd)xlE7JhL+;OsQqyl}~;?~cN*^q*UQ zKywF56<(uCy~6PNi?6j9;^}*$xmj*7NZEIErSyYTGwJJDn{NqgsH2c9?njLml=v~- zoAqP-3$XXq#DcFoU#+(|qf2tfH56+YDT>*(?SXlSENpp7mn0Ih0n^KVLl&g*K;oJRCHP#fYS?XmGU51vhzDHXcyjoy-TGC#np@%&Y z4zRlezR+EV576BpwOl$7fDCJ7wy4)OTSA;HH}ZG_O4Vp<%`}nlAg~wZg8b<^yh<6M zqcZz~Nu3=5a5nNCg<=Rl^um87vVgBN<;$`WQ}d=dq!H&t1vqe4M!wiMei-MdalEig zL~G|UW#9~5;!QH(O?#g5A{-sqiRq*apumVk-+zTTh7Tj3i#=V-1)&WS z+wQ76_zl$ytvvDU=62NC$X=8Uz4vJA$?qrg(84^vPA|@F{bdss_^KZLp6~7eCpSo= z&f%fXm)Ul(L)u*>#QQ!fK!}a_jlMom8tWeW)E9}W!9JLfK)IYs$;MaClm$Zg4}vIj z&NvtuwE$$7ns4E$@BHLGo(Te!>=Lg+$6ZvDFexhg4;(9OzU8I+(4`>QkxM%^d<)2ZdEOnZYU2sZr=^8Rc2!IFSA201dscMJQ@zsw;-k)Vw zN=ZSFyU7xsL8dArs~?TrN4wxlN*TiaAfXp^4{egwiG&GyriS`*4Xnqi0?wi_i!#<| z2lkg@6@PwoNZQE^UlRoIV_X4IuDz!sY)P6`sde952)Y$P_6I&Qa|F7`i~o5@&`r;^ z`xZ7OTLU_`qus|v+M7;ZMgQHob2E>{?=GH{%Z0g)it&$RcWaM%v>(jx4JD(6VYH0C zx7zY;sYJh(>t@@;j1r+ftEH#__oWeplXtO;np*buI!z}N7Y}^LO2@>L|b%KL-? zLwSe3foJDQ<+YkiI1n^=>XQL0L?`x~L4EnnUGkn_?yq(=_6c9x`704xJX&9qZ)M1g z`H^~Hj84fy+FX|v83U=5MQ2>FXq(fj>_uiqqxV~$`mayWs%UdIUmeA%z;3dKNk&my zyQ?-{;v@q>-Sp7vfr=k_td%1#tJ$%Kx-2;|QI5bhadm}PV$@RjuW=2%%9Cg5`t;nf zz9xt*r&w9<;p$%9B$LI4VNPs&)OjLZB(bwjdojrHzuhLjD>K-sW@iU)_U}&~mw#q& zpvt=1PG3QZ3`X2mWxXb=(ky!qs&K1sjU36<74pl5Ugko93Ldm%!LCUVU9Pr`yTu^M z@;?vhdQZO_Vp>qtC2?4Xsw%QNKCDgzHLi_2PLOp+H$FUu`VP)ktvq&uqQ(`lpLEGlMTccOB}mlQ7!06^BKkF;JFU;J;gJyn~(aw3DgX$Pc*DUW<>PFLuKTy zUIetZECL48LdU@&(^{K+BKxnI=8Vu_E?YVlq>HU>am*rHYr6)s+prCa^3Pb(UakPx ztZLUDIElU*9Ej6ZME2)qKUyIJh&ybCLzHS#RMUZ=wc3;(h{o}`le&*9Ft1sQ`J`8sv01VK; z*Ekv^QzC;mmR*kDLZzyc%}`yTOIsgV6;N_#F>{;Melj>&?wNOgKftjkB03J-=jvH{ zUC z2HDS|2!Y=7Ki|$M`V~?cf>d(yY>y$NSQY$0syH9X0+0GM*~6AdIO2HJ9>Pbd%Ky_p zX6d7Xu9H5_OZAM7fH!WzSn+Nb5@pxVfixa9Pu z><<{t!Luv+=FU~Ma-SGVA%aIX#6KKBZBY34?&dMr{(9<0mmJB<)FuU2f>;I49r{$Qb`KI^Eu3v>kyM`Lq+*#jqN`QMc_%uGWilW3led z77B$Ux#lHP(PP$V2gP@DjhpFZjHt!y$wc&RSp@&xt}r# z$`4K7D)i1HW0!lx!VjGJDYw&m_+NXujxhe&I5`yDsBdP=c=%DBHF$&PLV7O|e0f;Vu@?m0z5mpc18UyW zuQBN`DZfG87OcjN^oRh-tja508KD_}IbS^Hm+?Ohp+1*ia}F!4bO~5$t2?ILfYx|4 z0e5S=zS?eM4HVvTVVm!$TWsaSV{r_c#{5%$AdBiYReeEeo`o%-qJPSB?m*^f*uOFs z5U@#kfVI3(6Cf#=bm$bimg3bKsQ(o8Iu*DNhoYe;p)GAw9R(VIvoLSk{>C9P~v%2WNgkFh{ zBvgPvAnEJTS@TOT94$Z^Sy}}MVRUF{=uJe5&#&>L}jB zz?648xhS~yye?f*LpUMb$u>TZtlBw!j1)} zsDV%a#)pRnO?V3UuYY8iL{Me}8!sX=x*}Pi-_?#9PI{oil3fB~5V^tI}v(l6%2Z)%cuxD*}int!Dr?KRmWD<>E4Io64?l}5xWtRRq!N2lEU zT$W8uwE-+Y4FPW)YH}+Bf-a@lM40Rr0)tHlf-%HD%G2lj#Q{{Y-(Q|jPDwYr^W_N> z6Sn#I(zNkWe>dMbALV`4urXZLmuvnND)3I(#}ap**Y2K-vUe=@ z7OASzwpkRLj`};zJ*U3`*vL?R2zz0S!yfY;)U|r^>E#VKup;`gpZX;ew_JLzpSH`|*6v#=%y{FZ@c#4_$(g9XSKM>PjIv9s$D;(K zAGj62vYv6j+P`I{ZhJFF*Z#oT@2H1)5WOnUIZB-6si{H30A-)id>i&0huuXGx@d5l znVV15=}Pq)p)TXm>DAxv(dHDtJ0ly|RQRx`+LP&#-bH|8g=+-(GfX+(QGv#FN)Fl- ztI~UMFwqT2nZ6jG(F(P>c2tOb4{QK8;o{1UIVlHw`!_gVnFKRH4gk9IcUR`RG>F-l z!m-jQ_L-BM&@x42Q|RPeJkz8HkWN)qmCI7n#1=!<$De!~9v&0i$`6(eq9ZE$*}a2j z(axCbhn8AgY}rv+LObc%;hqI7flaX5>}w(PqM#~jFgPBJ9x|nV4bDP4&qC4@MWd(G9Hy51mG0T ztO1y9uVc}~EAhj#BWV5u_hW$&Cf2wlHrVg;*>H6~Z{Qj;`aj)}sx~QIZ1gzN=5ZL< zWxzfZ@;bd8R$UEQJ6LrmZq(rh(f1`8X`^-Brum>9pmh@x`|X z%X@~cINmY9KFJr>%uZhsUfxAWG~~P!h=tW+U6|{K%e?0Syv`r^`-baie!r+Tn)ETm z$^21|5|S;vpwrAq92*iHtNV47jr7R0W$wzAy;ALTn{&79K1}5!1h%) zWCA_m^iAa~&vM^-g(?Dm2tt|F)K@JLO`))hJpN?n0}>pN2hyTLD^b|F;oTQ*y);7N z2s!d)@AtzysX+NYIZ+~n|1n5`yYBg_)jY1?(&xw4akmhE|MLWCuaMyf>l2kJ0rcG- z7Av_S0-{)wMY(GPj)h530i30-#H1vi_*>#^c~BJ&nKZZs*i4x# z>-gRfM?*FOEjlsX@}3MNl*&sQFAk+lg=F}OTod-cbamtQ%uh?zAO~0~3-Jw*@Ie8FZm0LaeL|@6 zo*RuufM7j8{&C^8mO6u={Y`T(^W0FAO&J7=zVerC7I(>lS^!wdf=jT8MiiT2S-fgl z0(myQCQ-oK7_~zBar+M&Kxd0wOo((YNTNTWY5$unAn3$iUT8se5H+}(v?rgz#Y+DA zwr68|dsK{?Ps#9z_w46z7vJt33!k=?zUNB1q|khd30lYCH!dTUR&3W204Mr7O16%{ zYol#lNeEpYN2LW?F7pb_=Ss=Sw>f61!paCnT&o_2zj%{`mP)gw&xk~Zu)6Oh0<=%d z>nym!d}j;G-Z@*q57g6k4S(PAKkk17jQ+m^3G)0}oGw$E+mmJyurh=4)S=E95BLML zX)W(P-=vbt^XoA!e)aj&ME(kVAMPn${B4ushd|f+>||YMOExh>gl^De6|h3KB)+@$ zbQ8z}J1>-Rp~l^j)f;Mlo)Ak){a2&`d1|NE>n{Mq6AHSW9DEZe<}wd&AIh`VgRdKABbtF0Cof4!)p_X+Cr?lAG*iEp#Sv;0H!dvYI^@|t8KtNh(B9jQT+I* zC9%~&`1A#-jJ_`Nnp&UmcNPlwylC)=0io~*V1ixO-}w_YbOtdm%Cpn!KLKJptj|e@ zw4C)~3C9S+k;JhiDylnXdz7HG7{oxLUc4o1tYqmtDHvy-t8|5(Sv7YFz>9A{<6SpQ zvMR%WCS_A)t~Ke$T~piXWc&Wn8Ded-K&t`5;7kkh(z?1j2C#R%nU#`+F%v^DT!;j! zNf;krk-ZdDXRp%_!do3XBlITy%$eD<1MlKy z-iT+Mn(#Xh!Xm+@rggDr^NJ0Ai}ypl-mZ8kImOHhG$ay|HSIM@NWH`+92m(RL04rE zj5i^Mn|HF(Dh0_Y4PmC$#LmKnzDSk*ZO{HlOH*jCJ;SfH<7D`pwF$U3*ZUiQ|7zw+ zdKj5it(+pKJq%KiIjA=rzn4>XpI-bGAD5GhACDwCDonyW6#loHz*C9I53hb^KiFBk zq+(f0h%7KO+UO7XD;cUz{H*oj6De>Fu5lSFWe=B5BKBrGX*JQuI@L55-vyu0b0UXO zSz3s1=&el6TVTgN_3v~U20GdDVDTsckHH8|dgd*(_p65;L*rMQgtr6)D;RO-)#OY@ zfSQ(&m$f{CsJdehFQ;UbD0jcQ<`?=Fg$G@>x0tOaOG1Z`m=I3NmYxy|5b3*tUuEM1t#U1H#HEfqKWEz+cljw-*5 zAnutFvNZkmhmQSSYFRktE=r3o`3fb0#VfOIZED-f-k7ml_YA&o){6FWvTJ(FG*k~K z0iU)svW?6$wtK=(xoVTXP%4h*YLKH`-8Lk>_CuojOwxYSN4tcVKk$;wEhOkr)qaZt zSt37hSpWVEBM;O?B9n$-TuUON^UIq;7W&P$$4R4UHCQ=$P>}z${(eqOCd_}LR&ZX| zmeE@-fuS6s!0Hc(EiEs0-pL4F$2auo+TT3nRfd2=mT*?aY)Dr1*lk#YGo=y6clh}| z85;xjrIs4eq)<#9d0{zW?Nup#i>LXSV#8 zy}+*#NW(WNV=7$>)z`P}u51olV`_2ZTZuQRXc5r>k;f{uO*{H>MZX7^P}q3^^?l7%oo@O4!}2ZGOx5M_=h}?EzCOKJbv5`!r`5QWI2TdFn5Y2GT!2&*qgUW!ap*QH z--BXN7k)x00(kM=Sk7`kJcHGsspb`*?q_}CS%*3%-I?1YPrY{zr%p71trkUSeA)~U zEj2XQ6TvERKeg zsYY zR7I;OkSGqRF@r_`;Hg$-GJ-2n|LR?w9?bgWTfq<+^Iq!RFf!-VaKAy*Nfl`+@xOJ5 zU67*nAaxt5-EL`=DEj=W`}^nb3_weL^2x8Av_f%2l?Yi>^2vvPt#ZJ@PAq!$$pQv? zDPZcw7DLiqwRrr|(Z;0hup{vA3opdf?~s1%V&Z22+s^U4JNFqin}uM`d@v0_rPx?3 zC;h??4C_cIMyaG%RsBIqdG4M)Ehvs=Cqv?B!EFBRTRsA0-geo;->Ab8fq9 zB`nwniKPVMqFye5-f@pyW1tP>vDQ}cjVixzDZ=2&m)7*w8;43-L=dM64e46$Q$UpJ z&wL<|6Hhrhj!Z9`d3_4mXZq={L)+-}JsCVhCv>$`6NyE-4>*pAg}X6hwN3|k zT>WUU?)Lan!*@AOM2N7pGIn(jwiezj4Iu=RmkY==lz$K?i+md)Cyo^NNQ_rsIIYn( zl7QNuyJct7*8S8RJ9jblX0Km8fxH_TDD_&na01vhoRb&TvH!oVJ?)f89nyyEtS&mg zIo|)+@#Nr|vCms#=U-em3?`Qs5Q=n@og@0-Sm#p}&!KF`wpdC~ zaNbCq`qnU)l7+sPuFbjB@3X}JpI@z@MdES?5mLco&`|R!ouf z;Ui|60sg}58&cbx9_=W+u#Z*!pOjyFvObnQEuqEbkMe~1;}gB4f=aUdLo(bJ&E&d@ z_KW4cuv3P=`th5UR9Nn1iiw%KSjciaoW|V`C$nwesdV;{2u2PG5bdADFY5P#14V02 zJPiQ?foY(;msqQ(yuwl7O-b_bZhDIXmJAARr`#KjiB^;NnYQr8q=d0~_u+30s$6-6 z?w#_qAgz36(I~={Go)f6rcL~U?^0V=_1(QjofC66zdQJB$HmTf544#e&EypiX7&~q zS0fXJ@eQbV$9k4f^WWidTvhom5=o$OS)6s@<1+;bSAS64f#G+44Mt5QZ95V!QUDIQ zu6^YR<|s{c*s3N%&f(<(24{~h1#MR-BDx6xkf#NshjnGs8*sfQ64uUeP9U$8_MIR1 zsG7dY*I=hry1{3Ei6@+z? z<+MUGDrXG9WBHXnpcvhSn*~CHeS3Dhcy(a^IHLuBZ4ui?6|$l|JC)!hFB+)LG!)HV zbqNxSrq^AcLbPe~?DsEER;pNazBKfoWG>_WlYq)$=hBtgtuCoyM%1K%B!c>_{iK%V z0X6U}S~(x-6bhDju7!+*X>GcvA@4krUB(n3Fi4&{+d9t=)ZSms31Q6Wr=9uq$g1c$C$=_aF2k_~^fRagm0`_O=ws;T!)61t=n`ITm z2!!k3Ex@{lyQKF@8hRf9fGbVEP1V+t##a_vRKTIH_8IxrO{;eO(@m@d;u-Xs)s|b9 zPj85IEekE0CR~#<;0ih*L06LdSd`Jx#4q-%L;S12;I*st1PjJ7RFsOC<-&%CZ=sgN zaw5$)yTTDbIsR#@Cg&>+zKcVNDi>&rf(K8pFiV%?S9`H>;WEry^5mfr@=yv$fd91N z1{~3%jX21CbQ@M$*$ULc!!2r8ChWfzX>5abQ!Oj?*OVHTg);g*ZZ<*AB42`*^01Kta5 zn;eK+ZL8INdZ|6uNj~{chaHXcF+YUE)Cd|Xx9!uyhSSmgqym2x@;v|qHCEFKtkEvQ zj*==}ovR2aAcU!gM*!To{UB-YcEtl=>H;T2DYr&@imo=6SG)epjh#MXd0pt|YA!{f zI!^LQv>nb>O60w*i`VU%^w_XX@-5=>kc5N;LUkiWHD0l`1K*{kRitE`5MIaA5JIpB z>o)1d_@TZTINMknz#&}$9fn@GvdX4?q-yJu1^t;9f~8KsXE;adF)A zKedFkukv9{EI;5QJ5Ns!0G~qS~Z-#qQWsMk+MbTTMF>1m9O&4bcQ-0qz>?7?F#~SZDES4NrUWb5>0sK$<5nb|6Y%k}4vonoD^B zmBhXLu$@c!CtY1MJO$(abM~rxnoA8fX|yXJ&@7fP&)rW-{4w4`NsgHnqNrIfMy6}v zIwF8U+0w`;{`i_ZyHq^=p*-jPh39~OwT7WX8_+%e+-V&*0mOGqq1w1xo1MO_f?AD? z|MI0?;iEnqzTLwKO#hJ}Mu_|Z)KBK70;@7BhoFrFuPz0SJ+JQ&3tX3Ck|BMcQhxoM zzipXkKpAyemyaMd5D+iqCMPG?i=NATq-5cTe{IM_|M450HMJKV*<5rHf{8icYCZYk z3elPBD?=t-^plXzhIp<4#SP!0R9*X+jCmH+%YQ%(!o(hSqL4tkX4~hlS_A{x zKE@H>ww`rmdDIgr7C9yaS6XyyWzG=bAaZ6E5D(rIRFSU%zkl7v?`~Uh7MsP>$)woM zMqi--{p67V*L!4lG)fS-I)JSr`$B0;NO zjB0*d99MQB$WF-5`4oVXXPqT__O$G>wvo}yZ<|@~{6-wCDoF%Js~{Z+UjX3zD%<1~ z6#B)j7Id@@0}YC1@lM|hI8uVZWQ|MCwn?EtOzhrU@|^Dq?sQ;~=c<}ZW^?k2I^I7% z%cPM?Ai1*yeVE$sM+>F4s~2Ims|crUhpvg@xJrD-SNkWqod=laSUtv0kN0PwpKhJA zxvRHvId>GqqpgBehl6I$7qz48=|t;h3mlF;|3guoU)_Yk191cv$JVDlLBA5p`8h zCy)nATO}B$3r=fg|m;(2IYeOh^B|k*wcF zU4lV5%}2-wFSio&e48d!a&LMxIs;-8{G+_Ha1y>0Rk|H zE{o|Q7|-^A00@M#XfrYtL98nAj(e3>)>`)dafM3&K}BgcyRXc6u-9G!0x3`)+&WM^ z2;c)SX^WcQzpS`_jextnAkx;?AlIOOxcX4$g)`th(ApdUCfDqTNNsl)`-mYX0s|WO z*xjTy;tb3fxp=PX$;EDROb{u`GYeN!L=7zTG>>g3a({NUBKq_?uxbZf~u?(8@t z!<_Gdp)dytGGeh1*eE6?`>g|zu5rL2g0KcEXU{+!kktjr|3z>A%%V{#E-jh%(_I?u zv)Hp+ux+)~x$V+~AP?4Lm4a0Cx`FFp?w%kBQ{0M9% zkiC+m~Q>>dl^lhrCuo}(~!g^kD*e^wePgVVBGgo_ur|a zx#r+2OdtR|Xj}tkLVmKqj^PFiVqF}eoSQuAv@7N(wC{%pmf3%YJ_f{ZQT^#<1#n(A z>O>E_v%dU7lXr*ogNRMbWjw3L!azczkvAbR8rDNo4S37-iaocJsVKP=g59m|2Zaef zq{*@n-p?DY@^1)2T_lX0@!I^iQQ`YfGEDurSRO5Z^BFrhp!m7nIKA?G+=Urb&vpsor+9?B}KjZZEe zl4Su91H&PMP(oPUh>9xg5=GQfkMh?# z!&XMWu2vD7>Ju?kKMCWkxl}m*%)X}!Z7VzvG#rbm^zrweghyue7gwN@GWQIf2^(kLJijODr%bl96tcdnJ zv4h1`dyu@n0VSuBrB#!Jx3`%V$f9@!=2b!hh&2TSgfAxVYE4K~v21JrRTiN#*WR;R z_;I(CrWPV*I!UipmmH<-e#OzDQpOm%xCbEzpMHsVlZ(s1|GbAJ71IH)po^nUE^~n# zpt%As0K)?40F-RL=-Q_)fM1A6~o^lPK->K8RV2$a;MD6sy zgl}6A*<1#fz<2zL@t5!0Pk~KT))on#CVLUh92g5|qU=2sFTgDXIQ#)}G64`M6l@I0 z{`7@oKDVJv0(FnhR2Zm;Y_l{atBb6Pj*JTMcO6R7Rv1&{QeN8?#3cY62zH!C7>tk+ zsDvOs_Q=F0g-UX<+{kMlMSFli!Z3Fx`1pY#Gc!h3jREre!Imt%wDSno@?nz_?c|dK z`C}!R8rUe?N{@ibg|<2VlTh&k1;EHdlE?5FBYHAmk3puYb>Y!brodKQ5+~oWwNF;R z7%MMd$s*5PYaMwd#EYlokh&;DrQIn&nRh{y(Mb?gvNeVHOVJ;hRT1+ClT6I)Q&z>H>Xz>46A)tK$j1f<;UXp-dW1E*A%}+d+ihrDL}^9|gcZ^7G$X(wZ6R-E7NUN% z56UJt_c&MtWd(HDu!EX$_D*SUN(DU*O!BifLmlkXllFqqN_fgb{)BzY+HB#fZOq=j zz*~C{k6XNWa7S|adZYLX6 z-PdTsj9uA}Lr56lc9iV~?1Q9zjT$p8&p@(7ksy-S0W*dQY5w@Lo-MIQnk@1#_txtW z)`m7*+!bb#ylqi8EEL4SyRx{b2s{Jy9Z-P=11(zw2W(s3OcQuaVuU~n%rzf%^jW>3 z7|wZ=R{}&6gr$)?i1-5(7r;$km?Gp$<+>~UqG<9(`Fmrn+2pQO?PUEQ*&l_I2g^u9 z4GhlBxXvP6Mr^x6I<{(+$i3Bj&Om+f9oElW8iP}#Yz<47&t>8c1ukA}nWhg8^tdQk zJwOkjgxv1!Kq#E%=9#qZ8tUW@6N<&gY>MK+Q(Cw2h-7g#QGzs3$kP^<*mGj$PR4k# z;4g&#+UnI0^NbeD1Mla61E-e@XEZH>DVYN2Mi&G`vGW~{6|eejg#6MjmUvOw&=Zgw zar;1UfGUt75TY`n`g`Is4+IQiVW$|X^QX!8-XH+XpZ^3pHfZgjZL!GRu;TGHHTKs& z^v4>G7Np==v=J=`+cu{XW(C66)W$ncRKQo_HXIF(7fJg0sPPjC`YBE0D`mV4K6y}Y z0_(88)XaBr%(KDz|3x*XItOr#1nx#cC(#-e6FY1;`Ch1dQ&PejD_3nGv5BM@r~KSW z06@~KFR5t4VQ*~8bD8|hkY=cQ2YjNsRx?}zLDz?tB9V10bVB7H#HrdA98S}-XUj#O zLk(igN2CG1jMCsJp*heqUC)%r!)XnyeyBAFQ15fp3czYX+m2M1R__j?8rm|?Rctk( z4X1^nWJg8}|G(Nh_i(7!c8~v}MMu@@ZHc1Zg{E{6g%yd;A=Gk;VysdzljK~^Wpz%i zMkQyZkZ}r=WfE_2Py@Av$k`+4sB z{(e6X@w11tgWA)4!y4$6TRvpMcQCQfdDCO*Ax8=&uw!G3?5pC|c)rM-i4bUGp+(s+ zH=Qv0%rBzRmf4es(LWE!o7z{>9!8x)Fx(a?7RrX4`W08PnF|WZ?IGf(L;(gbd@&1# z^3u#sldPG17t_H@kD(_1nX=hGAfRbZ*h0GP_+s`OO{j&DU8k|X)CV-*GKkhsaGk9p zxsWokWHKG|=aaI8q4(IZ0*vQ-2n{^{x~WFPcFhb_Cui@b_P zUR8-{JNG9e`?Ev!s)V8OGi)r#A&?a$^tp9BasBo~WH%WIhlx?+icr)DP@w)!5r{kn zU=X~i{SCvbE-!yLE*$AajQueVZ4Y=xjr0lm8YhG6;lc;(v4>GQW5tmbq0(sBQMMVu zJBc}r-cHNI>o-JZMtY-~nbCN``j!T`OB?Wba&!FWkl#_jAg~*04_V@T z{z1#M0zPLq3nhe)!D<>vc1RK5qs40kgY+$pdmr8Cz(MhpmQdvq zSe0V^v0nvsu>L2}dHb*}1*{>KjocO+zS<{~J68~|aYGQMkvVqiWSQuwge9I`f5ENh zF%T#nM*(-l4mmnH?ptSl7M_r^ZhAx&17w?)$GNZX7>ug(qP15SHIxx?a#zyS_Wz_- zhgFoS(%x!DEceNNyo$0}M;(k@2C4`D=YX2BYbrvM-qXw(p$ta$k1 zZ9j@_-AKHwe?F`Y>$@VulJ=e>)GHRPr+YecO^rh#Bh%i{5O*=zJ$rCQWN}+nLhv(X z@K4}ngJtEPm#6KxB3dW=KV9d=_CctHT(3hQN^MrcKvE zhP-XVst_Zlx?b=dYzvh<&ysDd;f(Tz*0)J}#s|BC(C8)59?V+e8}2nlIxdBYzT`Za zmtZd8wN*c@*Gc4NnvXWMMJ@4}-Xf!p-P^?Ldo5G+O5D`Y&#j(=fvKuw$?=T%@D+lJ zGdj37Y}WUxcSFHYooQi95l`|wGV!jQbj|~KT$o96=^t4oA%VzXv0mc2pDttNWqn|< zJMJsV0d5CUGRte&cqa1Nq-@rB(*olr1Xd7x$%`fM$Q{x?eCnVSyb$A~)kV=ECc9To zGy70+Fuus|D>M!91l$%j3}554niD)lFL%x!D?YdAx65)l9)bEIG^4DAa64y?{u8(bXkN(5}qRL;yCx%3>}HN+|hEVoRQqi zlXuVkOO=mJCY*KJ0j#l}q-fCr8tNIq&H%Ip@(xTQ zF;ScDZ*d}WiwcyxiN^p?9KUH%szJoIbK`x5keUo=BK`Lufr3W)${aar%C^JzX*Lf7Tg&ASX3-Il(zIDbSV!8F?_0OrpdO`~C9ebqEACsJOSN@nETYVGav$jnRvCCZ;U26R z!mNp*O=14&Djq{!L~%&k^(Z-BCU@U%61_3C>oF0Dd&Uz|^*KST8A+&*fQ{oTgv?}p zdi+gbM(R$pT^BUir6ViY@6hbxC%T{vYRLQOWU2dRGxn1gd!=nF7Rpca{UMCYIrF29I$G{P0HmBUQ?9i~ z2?*Cf*jnXRp<3iAx}A2M8059(t$!9h-qf4MSv345ywz1fu&G>X1f~k4n4wQ3ff92xAQXpjaHa2cJc00 z&;}Cu*A+~nf}!{)mMVFw&77PyFu&zXRsbHCh8*@9CuWj`+M;eK*hURWZ9@jE$VJ{;-MOqHyf8fpXeP>`+f^ zbfI88>Iy;P_?|K~zMVH~jkn1o4eYA}`azOr>KG1>f zHRWsvhb>4E>nua(N#403)hRq11Qjw4jhE(~^UBGih3{LnKlY~&{L@+1-_9JjibC7{ z;LRzni898*z5*&ChvtIg&|+${h+_a67H(?6t@(DJZ>pnN z!PeV~vT<$lETEPEC7_h6KZb%^3x_GFJG|Jugl9@h$*Dw!q~*q?K#HE z79Wh7o(;l*v2p6F!PFgDR1@?Z`(BBk40Ef|ad~-V5o#1CLt2wXtg4f34uaDRM1*P7 z*t1&s8b{r!BtZIlC00j$Bm(9+-#bW0Cjc%4XETjmhNj%NMTr85z}T$z3ZIkdydXI z(;N(@TW2Ce&=9VHHIS{NS-ek(vL{(Y@}4R>2!*}Xx#1vuHLqabz5pvN*7sAX{w@WP z>(`mzfe~N%MUrU};~!s;9ua%G2<1$Gzma_LN-Fwrx^=TZ`&dS`CEHa#M-X1EP%QADW}f|LFc;5=@tPcGTjdv6BN+9?!`yV|9h5JL_BQ)++;g@G_4)&s zMgX@vFXA3-=ma)gB)vgR;+N$7s9%Ml7&448VGgV}H?p&-V4Euc>Js5~rxckX_D-M; zf*WqZQDxXZ*>j>Eru>s-o#_xdz#km9>!Xc~dV;Hq0{4&+(UWvId1a8MCZ4yBYb(mSQ}t88@N+JYUKN$EV{7}wJ4`WZblAN)_u%jsUTzsu22yq&OA16Uz?O z@cbU!vxCU2Z*Be6e;v~!}hd3;-jly zgJUrxO%8=!bX}?PveDrrZwrrZ<1sG;r>I#045Ow10~48#_d+(s1Ya0WxAfw;$KSOm z`~r8DrcdMf4hPeMW!JM*-H%;OKf+{kj(s7*tPUUG58??#S&PQ$E3lt*zrMa!;1I3n zG2tl)3wW@zPT&9vLjL3l2w46;;{o^JfBF!yv8lSOh=uHqZ8w`E)YbO=wt1J1_{qrI z<@;DGZ6fs;2OvY~-_>e?CiY zhf=8(;{LI9m&K&s;Bcz``~{lU42C>RmFUA=PxTz>hnjyC%r_-(?ye1yUPAdw^E#YS z&$&!d_ishV#8mM4ngW-JiHVvFr<0bDtFn~}U%uRR>Cz>ZY;$w7#Pa3Y@^2wul5oWx z+S~@MJ`o=(DJii&7YD}FpBCT@ic**#LZ3c;3TYpWeDX89I;D*p|IiCjQPxnRD2)O! zEgU;jT2ey%`2vlp=3APrpvRXaE5$;bnL%SO`oHVSi~6k5o9Wn(j^0zE?*w# z&0j#%hTNzhLiEXH$6!alLSgcMCVr`!X1>o<&U3Wr+je6RwZzpuhE8omqA06Pr_)X1 z554Q%MNwZRXW$%|;&G_GN6>#ufr*+>#7CfS4Uon0KP`M$VF&~?o7U$cdNo3;At5cj zt!HGcCsz|+Z&WTpLs8M;`9MHGKwuiI>^a-9EVLaZvO~C@5=gcLCNzJF+ayl;j%bsA z3X#mLn(h-O8x$U12BD)PT(H?N_SU4?8s3!F2)3(xro0uAEGL%N?yRP_0G-WJ^MtD7 zNs4M}!GoRE^sioYuR-IgM2iq8H;#j>k6qQ<-AR20+k`x!@|4pqC@kFc%P(i&y@jvR zqlU!8SI~NfS!B85w50VCQc|TjO(_^3+4Hb!;a5B(s<;bQVta2c&*)OF?H-cjk3kuH z0*qx*T;-a+9{B?5)J!Qfeq%{Co`JNLA8t|w>s1TW55V(HS?8BPL6nEyS|+8)6d?Z@4e)3$^zKK@8XN)wFrZOUZG z{m`Jk)m4|SFgDb!-UE@Zlb&mL?OkNrU+AIpC|~)Rc^Ab`*v1D zRCHPREXsFnk**eQ2Nk&yw-rBg7UN?6{`2p<@xS&kM9%d>Qg6#KPt{a+?Xq!~#q7L8 zX6JDN;lRN_8SS7{tlmN5lM<2h-CUs={#Z9qMPm*QL!IS|*w+HDDiR85Sd>a`ruh>Emp`axwd3&ic4ozbRm|D zStRVvU9RrB4r~nrRyGu#q%e?A&a}KpzSs{c_6?yp52B^7aK&4Qt%IdSaV+FdD&TzN zc@85y3-ZnjlUM)@hQq7si2L{dY#c#ESv$EO47khWEg}&eKcmv3$I6Cp794swFS#i%HKBnOOJl)LUDX-9_6jfIEuP8)fX=dez z4~NK-AzQ=s@__gCU6&S?KUwm>|2{O4)fPXiORz$d-}`Z06y^H@1N;B+&n`{LD^_ww T9tu0icW2jL2j+C literal 30773 zcmeFZcU0Ba`!4uFEU^+Rq5?)K7K)(?(h_4qnu-EaE%d5X>BpEzi~@QX8Hg|Nq>L4pBYV%(=h}hYiiTgzIyV414Z$?A^)-2mOCj>l*>QL zzx{IVdU$`6%d2pw8&ZpNkEM72^hnTg*`w7J?yG*SV@kJ$_HYM2IhlMa*l^Rb_Isx{t$v*0;N>kRKnqNBD0S(Si7IoFuXQc`)cz^L zSS%#7OHa4Hp`n2t1EH$U`d6@#ztBpfspaJ74ozwqek%Fyr^p3H;T9TxP^Yh~Q6fK| z{=8y0`C0XF*^lI>r7GJGo3pW+{TjJF^s`t-t!o_WAv$5G(Wt_xgqJT^rE?q%|byRr;yIQT0?hXtE6FUW5>rBt#V0z6<F7TfYsgQWt1)nC z@>u9I8Va0yc=%fDDnmur(f0mVZGI8|BrsJ;X2}M zjm@Aqe0{EPcSfUqacgm{k@tfAYc|UK!2gBD*Hkn&Hyg@g*L0-4d};dbuZ_y|+nWVV zr-#4&xtWbBzke6Ar2c=fqcF+;dCkH98vJ)Vo~YdeQ8d+s+2w`wJaz>#iGQ+V6!s*IRJOI-2*qq9}<+L6i7X@e@U5CG51z`FYi@ zs|B0vq+y`+ufAR()6KXkD|gh&%If&t?f3aY4qv-`i-WiM+Y}q6By${Ac8k>IcYpP# zmMPTPW)Fzr?}_O(x)xSeDtJUByFW$$+WV~`VkV~)Wy8&B-I zuO{6jp=@8o?c(Un2QPM<*#G5Px)w2f%y1cpHG*suqi!EO;Eu*h4aEo_Ua!N-#LPcf z&rT^-o*|xraUs>Tqs}aLA#oA(_Nc|4sE;ezDMrti727GsFL$|*NJY)J z3${$nih9o!&wMFTc=<^&BRzeBJvmCwbySR{3cuh(OxJ6h)DkI~x&GADw;PTK)g~LI zy%oihXsWp5PY;%fukwkSo}8}TWPcr(qL+tAW;m$uRQW4n`_>P7FLrqorxP0!!>`DiDRcO^KUSzR*(h{>!I8mN zS2n@7D{&LYA6js&h&!10BKB1qKHU+`dw5>kApNbEvz1j}tHm2)o@ZaIJwz#OK0H7C zHh@putn|~6*Hrc!3%ExCa#`Scy=8*1g7>#SIoAmMN1CApDx$e*(;nrFUseQQSk`1% zYF{fFC_zIc1&p`8bz^`ROMbQIYtaL_VCbeXW5Dzw+#OPk>c& zuGHL6zPFF*b29o|GS@Y_-U}1KmYV*MRu^af^sxS&hFS{QP` zF6exgJ^1m}wYJfZ2a}C^tKxcE^1Vq|U`W|N_I zi(_bd?xB=0wq()}ueV%JU8=0N`~7J{Z;`dz_@a;V=enKu7Vw;P^iZH^vLuN}q=kqF z2u7)zmOWdO^LR&+^u+?b6*coS%;%Sshnkt{N4EOveQNRB;xT7lz#k%+uw&ujx#-QS zHh3iL(;qjRFWkwDPte-Sm+|GFo4>MCRe!)ler1=N(igjOT+GvL!fE)cOOQrFBHcPw zP4YleOpI)|4*N>JFdMB1(b?II`uh0f00DmQ*~%jElz^;^x7INwX$5+V*Idj^A7HseDCwa zHW>!z7ta{6uRK>&{%FW^;b1bKXzsZOufW{`NsA)ZzZ^k!aoqMVePe1UKcRSa@u}ep-sp*oBWvGB-dY)&3 zB>RcG*Sk72V+BNW?#WGGobdGLVKRPUez;#Pd-HD#ije@jO1m{STFea4(2Aa?Kh{pR zTu8sU;Xv5hphC#N(Cq5se0#HdLfqTrd_&)JYIJUw#J_(-7Wx>A^0(VqNqbLhK>mD3 zQgMyGc%4m#rLW}Eo6WfiMdN!02F`DsEj|Yz;C8yUREV}+|K(VHe{)*s7P{O?}}*2N=!(r;ETYGGaiVdskWc+aSe7O>mdI94WTr&Ov}hyG4c zDk_k)0stJ=b0P*w>d0JAV3s z@;HPo`21Hx&-5LS(#$`$?y%xpwd?eQ%}PbRwaEvnI75DpKCs*jTV|?SOXX$#$HF~S z!4V=(lZxiZ`5q0Xis<=he=Xg((29iNo6n@pPfrZl-H+1@I5MPaTAEnH)o7Vuxy4pR zCG#$&=9;q3W_CrokKW{+-z}OuezsJRHUB9}QIXT|`lWC0Boe$9 z=<-vEr49A*be2ng!eU8sy4HkUUa$-DVHJdvO42p;q4P6k=h>cDoT^T1UR+R#?KRvW zKVBa0SfMO4+Z|mwCV%U)T8J1w5mcmWX9yqDCZj1xo-_S0_q!jI4Bhs-j(@fkzyH%w zsC8QEA*$*&Y**I(Ki3ABMJ3gYhl$6A)*P`6+)wiz47Ga3yyU|j#5d#PJ?%3;<;`;O zS@c-3+fLd_D?N2M@j`W{LW7;rfXF&ZLiFZ58>4fZ(8+n_kn{>;{D7Jl#e=i8D*21#hkr)U&?d?Zd{HK}^edBA|Mb=lX67 z3uWgz{yMk5irYGd4qc@N9*c&Re>_S}Ogo$2H|5-LzNN)UJN^C#8XI#kTkz(}2PLa0 zA#P}I)dx+D^O_!AB`Q)aax%U9_Ac~7xo!146fCQr{;u3Ti2B2IDfcBh?c^Yy(bVHoEx zW+I?|gbK-6}b$v{q+tol~uS zCPm92@p|Zo+$n*iBzV5+!0ZRwA`yR;IyTs3m|(k<{k~#t%4}~!*XI+wCA|sBd7l&! zMw`UhS#e&J{TR5PDV%XG`|ePld&({j1B!8zNcy!euhBqj_SH+Hk2v^Y;bk`(d>bj^ zE#rYiP-l=|n4Ksd@@CETLt~34QiDv_4Er4!eE1vN$)YgD{Q7&{9l;6rKe`V*Shq_@ zb}Qv5`h;RvVh>fw)xGFFJ8t}TeZWzUB(9M&*!evekhrJFl5rh*Z~XfA`0>7`Y{xxW^^cVU zQdo;~W)+W>Ei5dUqFy6+cA+vBbLAHw9gCRuy}WUyQSKs{ouQVFV?6GBM}2}yR#HwV z0Mg!=etLR*PAx3RIzRWbS5sZ!eogxVwpHzzo(g?_x=689Suo<<;jNB->!lO@X2t>< zY*n79t4TFU)VWz531L?{LG*)dV1W6@YNqED|IL;B?t>S6?>?GyYx9-1FaKp#$8EvL zlXQ=+BQ4A>g{jOpag4Ev!HE8RZ>PonR3?8gUqa$p-!;1=o?1&$PuD^_93QP%OK-5# zFm&bTk`a>`d{uGVe0i#A$;a-`(PLk4atJ6d*0N@eW>6C(1ItyDiu1dWN_QVr7Ep^n ze%yb@d08$>LYlnk2CQuM(6i<$p6eIIj8FFbCh@oHSSLw0KcU?9fNy5LOEJouHRUZD zzUJeOL%Zwj@}b!Ezf4Q##~oK5O7-X8L|t?xdJ&M8A=p;P&!I3~^JYqF;;UT*YE_xv zZtbM=%?)PT5#uX2`Q^%x`<#O3ta1B?`vzM%{_g#}x9*ZpZ%%r8y@YXTc<)SA%4+KQ z_);-f#fPG0LCTiWE%)~Z*klMt+&W&9a`$aWjhX{x+DsFC+VvHsp~~? za9d3Fw-@eA;NR+8zyE^!K*eo}F~SA6#tnUdo21toC2vb^F$u5bP;q|9_Owe%jSucUm5BRtrRfV3|;`APIZnx>ew4y3a=;OC1oX=#{}UWDSvZ}y8b z%#}O&vWILVl)gt9I_jdifsL+a70E{SRcDl=6k;~BIckL28FFtHIM=tlG%9MB+tV%+ zO6NCxpt$=_&iGcl+zEP{-@%BLv}00V7_z3HPCk3JhwE_pN>%C}BzrMV?cu#fCvCCI zzuCW8T|F2`Nksl~liuc^Tw|O&KWg0ZARu=#e$6jbw;!DT^W|6s@A)f|twUFMHRstR z?jTIwb9Hvy^6fput~WWJkvr9K=dc2gd!nw6SF|sEvxX49-jNRH5K0^CW=bf=#;ehZ73)@gXB9p(8PNO@>xh=~7jNI}a{W zSphfL6Ye*|HEJ6fY`y8jW0|B)^`2n+K`CPbp_iI8zg5!tq>_94y9*ePtNrd zgWn@TNkrScjPrw)7|a%x>3wR+zL7HDhM>mMqV-+-Y+t}YMnrDh$ zPkrG-P$-va{p+zetHOeMntFphK*RHZ>nJn+hsG=Z#tRcFvCC*vFm#L_U*0IFndGu7 zEQAMaj3Zo<@%7uuj)8%24jFRdUrSe$PA}y}r8tdm6?fpLhxhfJ zFQjyaR(EPr<@=yu5;2PNKg|>yK~*z0@1=Y%l{4D^*i1jco20;~w@NmC_ZP;wyXTB7 zO4xTe4NsOTDsm~v$qXLu;H7-c5|Zfto{74=!*A9G%#5iBE@NbiFZ+@9@KSfck_)&Iul6uf;Lr@$U9}M^DAF(PA<_ z9;idQUH7ud?VcX>LBUHWx2HHv=~Z+K$1ZO?C1)dNY2 zZJ%vTVtcqlytG0QPr^JqWA4kvo9*M30jqdb7l(Z;xz_Ar8S2rgTaxa1YZSpnPW4nD7)GUy2p4l^VUwS;wzuRFOZuqF5gWVSbp~NiJCpv z!-rDbaX;1Lcb_U8YA^{l9xEY>6#|p16#Ve;&ofL7dW4JmWJ5B9Y3{KwCm0(Usv3IE zlV&Qhn<_5;L5Y&BMjm@!oB!yobJ@ElM-@3Jq4c02W7a~#=+HlR5OAu#tdEECh5BM$ z9Ygcy`Dg0N;?H=`4MI4y4#}$*?dvU=2vXMkV zwd6AIx9iDWpV50Nun&{ZuJ3S3EkQthW|2*4|G}hlYOB3kZ(~nFpBbNF40J^7a_-N! zaxx$O%sjsH0d$U!`N&7$U~;(rwPRQs2~z(o?r(MvNO*QiVXn^j!#$V*T1JCwmvIqy zK-8jy>%s(nW4;^~D2Qq29R^D%7!^J~oR5_I@wd0cT4WBtX@8(iJ}F_>MClwD>(bWr zsx`>iaRGJmm(95W;-x2Tb0ss|{P3oI${6}4w6^BGSw`v2Em94E7?n^`qqZ>%fpU{N>9;!x`N^cyw$Mt*6R= zz|eF#ru$P-aEQSeW&d9GBV%XQw_BE#{(Jp}BGAs2K$$7r&CWYE`oVqh)=vir}=txdQyf6 zWMqE)N+F-W93AV7_Xu&|JtYzDwkZv^OtdJlpb`nNZQtF;1}YSNQAQzxcvyGio9j=Z zx6%6*7q7M5UB290YK;;tG^?F%nVX+pD}u>B4M6)O()CH`rgcgVm}XVEsCS4*_fh84 zGguJH$+7B8b!h>I{5gzQf0@2#C!u8q8MAZEqs{5LQi{*UO=!RF*sBIP|MBjrJG^YqpULwAPyy$$=e#|#5X-r z-5;@>mXGh4U*=HMx0!#@6-g%0WPqX$%v}DWlbE*`#+!qtJVRN2#&{I^b7K|R5T|>Z zj>vQbwzC%UjVJq|`XmA^|3g4smB($L%*Z>8j%v1uc|h0HP!oB@2#s4Rwa^5{>aCcP zwR~6|VPUfQavBaK@I{{xG>bBTv`__L#KG%%hA!5X3FNwwT|B%#LrRcdII9!b`1*iL&!E}yP^!Vj##E;nz(SQN!&`J{b?F_1*oc38Tq~tROqt=BHKcN+j;-*{Rj&9;|b$TzW$b zzLmd_6mf%1HVlvdk~4nRsXxn#jLx7-Gb&zc#S8I6N?ov=60{X-RBZ%SPQ*x=S zub;h9s}U)ed52C3W&3-}$@C?*^DYt{=p^QJ83MRqefoT*BCMR_38b@-&sqlUGFkw?}5GZA`ce*qQIjc`BOUxWyR=N5;?HWAfAe|bf^lMMkxVOKIOJ>Ob-J|L`C!nD#j^za7#SJ z8Wx(YIi$2Iqrynuz0{eYM>`b4lgn?&@BD@9Lob3NlY zsOE}%@08wnW@;IX+EOE%`)f>ad|ZA)k`_#$(v-NHqy5|UF`ATw2*kANRc}1P`cttK z)txulqL?{RQ?Z}gfo$U9iY8B&l)h)U6SfrjHll!3Qz%mTb*S;diwIgrik5085TU!3 zg)*A(nS)udHaq;u(}?};Q3b=(_xP+5?|+I2gT2I_@IA)%!}IXYPs*mHs#-?5Ff!CO znZ@b$3Kf-D%3NrT60O6yjROs*%2YGdC6L6BhoDr?ccJzLhp%OrNgi6PX?Abexc%z@ zMpOJPBVTQU!YfCB5t~)8e-ZG&iD9{~V7Y~&YYh<{CZa{SqY|}Q^cZAU{ClNXM8!|$ z33)EaxYi&bdk`CwA-7_8f!KD%yioOux2b}Z(%S~puy&?kz@KZO{rigbbZ915r<#}w zbAjq?*r)ZbW>##=ppiip;$?hR&q7F~v>F``t772*#f3P>HMA5AQl+OeEP#E(J}5fP z1dRjcKnB+Cv>$}EpID5XYdu?#uKJfqYY;oWhGtJ5`i8W<$@w68r~@Iv-CZG#E=G`u z3Hcr)UGjoWI?2D`C3Fmr3U8U3)uyiXB{5&G!jveb6TL0@vZiI^!9I+$xkyEn6jzpBI{*O0 z!Do=d_e*bKY8$LI$)$)(CU(>ppbtZytDBwDF!aiVBukM&P47e^e)IeI%#O?tw?7FZL-)YY zGf-YP_TeU*fN^kq*l&BcfLs$>P6^ zBrge@e;s!y`iD?U;)3~RDx>J^9N6d-?d;3C*mNQ;vD=(Ce*oh8tdf3Gag1qi=f(zOa0RRpLIgCE3@m5wxpN1m?WNg`WDnt^j% z&8?MBcdpo7oiH|$P8nf?+DudjXdCXw zP}|5PtS0-32JZ(HMgql5Pn~tAIoBvL^g?ANxn#e;=req5fFM+>{Mr_pQiky?fIhtF zlA`R2=VYN3-9fr~0UMX>7~_oZjt6ox#^k#&8;&Z@&g`gJS?4;9e%MPi9TmLt0oCw_ z>%J?x@3WW~$7M7>gg03cC}cY~r7w-X>FaAO96tKIm3&m(+p8kmg=|rYEDq0oh!pW@ zt#Eu=tG*#Y!=8=0s9d8HT`#wRQMVt{GHHB;7V(l!agFyrKp-o-qTp|YW=$WFpOJ(b zVou$D_)v&UDulNcVPn<<)F1wxbLjiyJJ0j(VV4lcXl+mcmv;{$Pl(r9CbZuc#Cvsq zhLjp~ULCq%5wj#cDY7w_`m;(IWHUN9eE&v>LN4aF^Z{ROLo!G*zt9roQEi2|<@r3B z-{)A3p5>TaG%DhphR~dgGh`ak+R50H$f3{`6E}sy`+oOu>m3q%l5KX^Z5&3n1dVjZ zwFr9=Gm{-tVmbU34+bIa?cP@Ci~1T2SZ#(~dfYB0@w1S^n{XLr^3C9a1EEKDj1lj(r8EbW?ej3=t$H2^+a&vjOo ztzZWKK zB$$jEL{FFAE~$PyZ^VRxM^%C)EQn`M(__+_2Duxn}IqP+-dueWVu_Y z;-z0Re);}u&pAL%$l5I-$o@xo`f0t&SUm=pxrk`a@UMBpe~KCdoK;+KgFUr3KEV`l z;SW=JQ@Ni)B@-Ows71^AG_tB{$-u$O7Q-LtS`iI$e3m!c8-Bg@w(D4lG^df2RZU`} zH)|mieKCi@%&tzD?Jjhgei1xu$jusXaFD&U~XhN z5s_1oS+r*z%*Hs8vcnji#(rf7uCOlIUq$T)Nc`hD3S=`qUW zV`3G;A*tM<0jUP-RF?&4pU#dU)`3)IA)V)p$-O9gikqAQU{Bc!*}bqh=ZE-?F*>`-^hZa1o;a=6&{>$9D(kOH z6-UU--#j@Wpb%98M}07It=aqTH8{{R?)8xk9wP zyhQDL|4o#;%^=ik&2x=7!m}`6?pv=Z+5GUGN!k)_G9S(B)EZr@t*S@4RU_qOmf)HG zai$sOmW8MimVEp9*onSU|2V*LWm;xyGQ_;*r_<8X(E7-enW)kn<6sSQ5Ex|7^;Gycb!+uLBvtvZ_YNNZHY+U$fNo8 zmSl~UYLL-hxyYx%$MspFaj&;rq!`VB^N)SG;@^QRr;Uc3o6T~ zrW#-@!hjxCT*5|Ud&mL%8X{>`)7saP=Y2s%Mddggb+xvUd`6SA9uJg=z=CDk?uw7T zsyrw$ zV0m`l5p{R3Lv#CCmL;}wY(FN4nqow1rTP(*4m4@#jj#U|N&-Jf2`mrsCT(fb%&BzRJ*EQ!y;5yjQz@gnj&raG5 zyBiv;0dcua_Jfp7U{{5)CN2D%HHpCj`dlk<+C``m@bi@Q3ew5CiDbe>Bc|S8-o8P?J;t0vv zAIeXD*$cCK0$r@AuJ!mK~q8cHbu4jYC>Iqag) z9hfXRVrj|+m-J@^63)*wb1B$Ry^uQQ#r*|hMUJa!|Xb-2|i}qircq;Ao9E8 zZAS%;&Gx~u355ks<{KF7WE=+o9~k?J{j_INz}*uNy=(U)AMD-v$ByAKlW*3FE}8FV zxs&y%;2`zPmYSNHyW4->qbzo<_1!vNg&fVnRSc15xl&y6 zS#bF=#N{K%d2WoL-URVSs4t2IutkLPrIb{H+93YrB<5l(W@q>x53HN-_1y!P$p>3! zn*7(VMcpIVsq)u3g?P(<=hk&mYYp5_LYLE=8glm&Gfn^VME$*=zQ1T;mVW^a!2iyb zH@&0?j-|4qB4v8IP&)67>?XBV;&7$&Mttw`$jf4*e0+ZCEuz;USO`7y1JwNO9jHL>1^yPA48kC6g;l`9d7+g-|_P?0^9F- zC~==l+!PfLyRs=@y}`{A*og{SD{F}0%PU6A4=n`~uvWs0Uc^0-a@&ySkUO@&)@x&l z0Bs{rNkZE~SunW+u#!@YZ=2#!INBvKZJ+-jObU-ay_SzRR`C#2ek|-XG0(^Sc7c@ zb5m@Evbnr+9n?xk$)2&`*-;Ct7qMAG?q|EanND{@#ea31C}s9xu97D)F&&=CM`qds z!~yGnw)SY{{|Pd1?b+Oz`$l@B&BQ5zM8c+$(*#M{zh1%F&bYau_xE#EpGk;;O6NCj z_QS-~^yf}Bcl^3=KBF;bKEY_g((wAXKNAtW0p6^wQuK(KnDX&Jo%>MklC6BZUiy=+ zRni0Kfid7sC=Th3-7%WqW0x~>d~u*h^lEeLiN0XLC=W4k09g?L?T8YmFxleGlAHc|bIJ35k$9EC`H`6Hmn~j% zjh<6YAwOR^{`#Cms1LdbKt<{kdxDV&@eH_pKE~PcB+T|B5Rw6Ak*)&KC;UqhM@2o* z(v7=%IrKebA66pOASB&*^=QvNi8y6oo0V(+?_eK;O+ckXYF0exw?X3n5#Po_%*Mt> zW?{TC_2TQ_3;V%drXsrU8 zsgryI2}v*OH`!@)Wp{>FtZr@r+v5EsYrc$S?G2C9GByj{O!LQ19C4^7R$fH?r1)%I znOBV$Xe2Kcp?G&h0ce`QSCTWD-8z2%d>V)mf4mq3M$3E>r7D&I-}E9Ee-;oXKdV(1 zN>BD2uo}Pyb(%vI+6dBKv%;k}f4ujPf?vqAJ{(#KC|Cmso2^rx+zYTX>HfQ9>_@Kj zBRJ?wu}(Ej&uDSf3~u7)HnwOEFaY7^4zK139#><|$N$(8jv_uEX7lpGT>e5szOa{E z6Dfa3rvnz7;gTRpaf;|a)Bp_q!mF#75XdJ#EPZ1Sh+fw!!~EAPcN%|s__H!9;_kwP zHmUutm0e;~Rv6SuRtUk}4IN2&0`a1S>XmZcvKS$J&4Us1v$0WLZt91>EoYUD>KMU8>+Y~5p3r*7Dgy4sf9bN0{wnn4=$)A zB>ibFZ;%H~46osvyh4k42aR}rcLuN9S!3dIV%3ET_g8$xYp3))2@_zRRr|#!!+qpE z=U8>Jm!vZKs%B0z70Xqk^|sQWv!*2ExVuY6%m@VAQ$>#on+-d`;EBDsiB3A{tF=Cr zKRTL<9Ve(<2%PHS^`}>9gXG#eMhqY#0v>s{_QwJ0r|7C-Qo`V3s%Zblu5*AGo7S;s z9-b1{E|1m*n^cwmGj*-`?TbW&c4a1oce!L>RZ=0q2YzFbS!!(4ut;5fMl3gado0ik zvy%gQhc`M&!i&Pi=PRGhb=@IjZ~X1I@qw_MdHbF%2TcbXGnIn|D^+Ox7t-825iYej zjJNEu^Ja4gZOF+@gcg(DoqnbwJ=uSUtLf^4o$xZH#0K%zf%Wt8)}uImbhCkmv_h3S zp_2qVJ%@)98n)1)7W&P^kvJ}ezra%K$!?Go_g}knT*m5VfjVOQ8_wO=B=Qdo>TdJrQu$NUjH%= zY^zR}{5gY_96aH?fXl?Ro!(5GrW8OlQ@M*Uxo$=Ee1Vm*8WrX{4+-BPF7J-fT_Ihg zO&48DLc|5pLQtk7wwPzPJAzeSx9jjB!UaPIAbSr_!KU=|^o}Dy_O=dXk4}8*YI8`^7E`M%f*&;Xm;(2fgwUaF0~^1#L;=@o@Ege58bj6P?N_#1p(`5 z^RjNqZ~1%Aw*gM%t%{6@SiJTsO^t!jmP0C4$wn!Ah77V>f1YrLN|nLxqU9IL2jq9& zm4%AXp5CG@LI8v2zwa9BEYWKn;1o^+!Hz{%NrK0FeuO0EBwi!VmoN!c%&x12KfJsB zGpv;$m)!N?)~RbG1@Ti{oF=4E86aQB8Xd|yhTn2b?YP4~o6nkJbrRk={Au>}w{^$0 z8;)DU0L*+cQwZRjDFPjxQ29*QKigPi-ZQ}CPw_F4hXjL!{^;r+x-qI~`68~>!!T_? zD=5lw$PFveE&0ZXD|-`1%ep?-c}_(<$pzPygKV=7DVc@*A7HZy;M*Yd(xCocs;_@@ z)bwwD$Y0X1SxEFgh8jeSBi{~)P5uFE+MjiD2|I0=qkk&e>aYC;+%FOu5yVXR4JE&7 z{Ts?F-qV!rA_Yo3i5iDyB{k$m-nEVu@wi)$*pPIQqp|TuVJ(+`oXNH6Z$4c^i-SXS zzF-6A3j{L0we;=ZTylq97iT(HRWB2GG?9~jc=+=bc(DvV<)x&{y=AU>O^dW|?D*K0 zChdH$1u@6&a+D98M)tK$A$3U>6`@XSpIo*@%%b9PKSJFQ35&DH=toIt1@7$i;4bq* zeiI!j@^`{o{S+=EoFMbyjNH~}$8J@plR_Qfab7h&Qz~3BQL)|4M2aL!=90E; zY&9rsDaIP4PkU57J!7zO{a5ZMsv&gby1UEdr}XKTX(fQOS9QqL*KcBf)K@llIH>TS zydHw(Uo9B^{9OYpiZ$lFElT6zp+`DwIt}{^PJ`(R{%d1kT;T}Y(6ya!%oN5#-be8u zoV^5u&)P(THI9FySSYV7nLBlZW7@HOiC2*alSmvE~bb zDpp!{!;a{9cwy(~cG=X|*8{)ZB^b9& zwFT)fN`6XoW4IeGc{fK=q~K!$M9(@%T>sx4C=UR$^LLZH!8;<8FE6eHf054hymC*^ zHq&IJ1H~1u7mew{)FW|yr|R<|U_q~H?j*Ta2I@h4%E^YgL6#>E8C>y|q?5KvYZLN5 zyLQw^Rq6fMxHBboUIBTYbKBHcRMq___g5Z8t#V%e1luAqew`dGVrXZ^2b;20#FsVI z=D3d8gQi93yQj{|uM(~|P7dsfOptmIE#nJ}E*v0OPau7-*T}MRp(i-}Zfr=qj za?zi<@9%*YY^JI9`{-ZhyH6;7M6D(W6p#EX_s39!IwIZVs9CBo*UyI@!QQbyMLiy! zQw@DbcwN`p3X!d%fC*xd@6M@bUEJcf)4K)3ul{O_y~c-<-e4FCNCVt!ds#{U5)C3k zdu(<-t^8w2;%kkjfAv$C?IuJpLNXUaJ)3Z?{S{`-y(SWjghj&VK&nPr?1;Skq)_+{ zS#&ysJ`-URe*=!RM@z%_P>Ujr8Y|L!CfK{@jj<4#XaJDLXy#P@Q{qFnEV+NI&))MM zgt3KNR=q77neZ6G-BJ1EFj=SG>}T1iFmItXm6K8(i0FsGR=Z3xHb0)I32}R{QEjptAQ0+H~FSt`ia#Lc}d9TmGrHPU_C)RYf?^d_O z3lx1tk$O1*{?e5*WP{@gB8`9)1u$zN`w*Ao`W3r{ZW4Zb9lm5gH;~cwqKK#XAkgt7 z@0WKQ{}7+>ER>|$OY{wtJjn?LF>RyLy1H~U*?|MtMXIl)COAKr&zfs>I;m~w+Cida zVx|`%9|iW6>-L3jVk9DDkZQ?sT%+}lP=iQ`C=<>~3^iwjIR`^zoh)akhN4KB5%q30 zLQI3Q6tdi_wElBYfI){#z6!8Fr1J*U#b@}~jeC#tDGPi*5`a^EdHG?2S@}vc{#t-e zdr*{`63x~Gi+r|`IW_E6I5(voUEOz?Q5o4FE9-|w}WR?=Vt=4m`-78g{$ zJ<#5iu!nL&KRGL6W-I~6(I|X~Vud45M!n~tIyz}bvis?cp8vKREh_0h0cK9=Tq7Mn zuAlc1$Rv8c$7^w*3Y$_9+5k;wRaBPRcPW6TzicK2tEGl!4A6qNH!qFy4BES5mgn$= z?`=_V+~gLo+|K;o;`!crC1@~r=cQ*ti+Gbw z?^0ENV%9HJ*;i6ub8}`bQwn#WeC4={G%aniEJnvGml|;=f$BlY`oHTMgJU#VpFoC5 zy2j~AFHeDoy3}`l|5zEAD$?wILBu9yd2V$0?b2I*=q%HyuP1N0PKF8omD_zBvC{*f zRiJa3JlGLvk(Q5;r!p2MoiV1}7B)#zf3q*Ow+C!q923B){!2m%i|S*8FshPUtl zN<&BIfA}l9JOqrcGuy*!PB&a*&pH_%5P9|W_od*8dn-c)ok1}VvfvSD#}7-PBu9|7_-Ef; z@zM{ZWWq=KMGMc)&{*RdtUzp7G3BLNd=ao!!Dh?54**3weV6?y$R`C22psKOJjv{z z!Mk)?8O`a^+h@9>%J_rzQ>L>>IyZx`Hk@y!7Gbmp3eBSQjf{h7=?~PYa>@Vju*?av z)PDGN%?-9*8<0`!V5<<~lo>}j)quR4JMPz~aroOG^C+92LV*0}4=Q5loIt7l-cQU=Awb7D zhNEiKjxtaQDVUL_DJfPWA<3McMG0P{nR`3KZ!qiNQbGMY7>6CAlsvYaAwn`SeOB$a z62-Z?GQuy+?UOi&1pWKcJj2GGrT`ll7^uE;jAlCJYv-|-9HSDz zXM~cMLvLJcUe~}j9Joa)P6k}-87e?8rL=evm6C^$Hua}#+m}eIcM4=xAj$hxTU@)6lVmA^UKjSu85JmXm;z3o6|DUx1H_4ZjbY_W3&JCP@@= zm!8uF95|&!3a<}@q;*!pFv-nXSJV)gAEg4D2?#oZ2Q2y0_2Wgm0>GleXDA_NlZ#;X zfEM6JpuE#a4;8vm4S2;Bbet_`wozMvsq2X5ReP47M{HnoagJ+sig3*$`%^N+x8;vO z5nzVdEe){+g>>VgTny2i7|0ICcN@XDA!v<)24Ve&0NPkT{{`D^3BwnT12aI>0H1#e z_=ma&%%bugfV42>w`JHm7yo&yB6>277G z@hnf4sOf(ohXYww_ESwn-i~%G~PYuM3!lYyntZ zXj&%ceg{V4z?vmIJKJ~EWc$M_@tje3RYV=3I`G#S2apc|h{d>xYFJ{1A?WuIZiz9f zYJjITj4cd#E22mO)~5A66hP2l21lw^l$(R`4ZU*&)EJq>OL9a`6|>o0Tl81O`EQSd z&2%pA-$fD{1X(IYl=&$#@;p~DG@~){66n!}Do_EgDt!mHmiz;p=g15Rpx8O&4&BTN zSfTR|&@JG@)j5=r5h4s>-1Oak9}LDN@T8LXG)_?pS}U4!h=3KIs7HjhuokD5PNUMH z*29_xwE1heUDsaw{5OH8Y>vMl-JpyTWBbtJGr*lcN1)^Z@UBFJwqab5-iYh!f{Kv~ ztCa*{-z;^Z8{Dx;NxHTjPotss<~&$Mbp#n=uJ)s&#gGnFRRs3cDsJOm(SnrWz}4lq z)#X0lg3INONl!npi1RfFSo!jLJcjcY;0Fj#2%Ip`0h-R^^rY`c;fb7D_I!SuNaAtU z!a@tt2M_2&gf$4=*+c5UkuGszy8Uoo)*0Dl1#7aWTfbvk&DFsGcf0}2aj8r!6q(j3 z;pLIuHUu~_V8ViXDYmSFf*XY3#2^UUHqr}6UYOE)Dd;UqbBe>W=xUgu z1=0VH1XXN`vp8n^)D~9gY{YCuQYPz_!IG@h5F}W^_2m)kq>WdaU*pPLUe`FJ`cLj0RMn`?`e4&8q)5iH}hrtv;M|Cfm4H zln>E20WGdpk|%TyrDQ{#WX8v7K!`X>wV~pInUnSH(M!aIJZRJU%Mnh%Qfd&3M|clF z4l$Jl&-4DZtXzg%Hg2#a;(WN}%!B>6nhbjDLn0ankz(xDhv02_9O}TFTz@&^;Mv=vO z?g%1Ep}z)!V{f7j67BzO<+_vVaxV_BaRM2KL}5WK^qlY|F;i8H6KWFr2?T2&9$n$b zO~_}~Qw7<%BggGwjeBCD`$~kebP5Lt^>yoCC4Ph&lJIl`->o|FPoCy$%OsX-6j5q8 zO2e3-tr4?hj304q68JS;3c=sWt9Qs(zWmcPZkwNLy@8^=eA%9uO5d!0(v1N2X&FR5 znd}=*nwF{aTxZ}7j3aYVEW}<1xTF&C&qXBajFp59j8ktG=ZK850LdU+LP!;-AAtwg zOn74}b#>!48uj$hl-y6)dFtpQ8G~&-Q3KWjjWCCv-uL&C$n4_b-;E#`;0P270F8j% zp5Bc$+|l!SFFG{w%ROd$2!&8Kd%VK9QZ0ZG*_PAzu~(|fnSz4eiw>jh0Yp)p9N%v} zKa&BZbO7~S0*fUnX{su@>1xGeypkrHIr`D^WAc4(ssxej=_{be>bu)~htw-^&(GFY zhkEPT60myluek02&Mi(M0sG}UD{gW!e!jt8WiN{&kVQr(vU3fOJxI!XN!S8riFNvU z=m;^!P48etr$-3a5pOFO0xJug>zQ&N)wvbsrkI&+`-i=Rb3yR%kS`b3GG!?5I{~lY zZ)C8J;;VMuLthze9x^ds%hK?6!hy1z9wv;kGvpoJ1?-@pEO8(R&G27-DhTR*&j`_x z`xhvi+CYj*%19yeJ?Byk#ZF259&GgN$wH);8#+#e*La4E_luSue}hdh@(Sks3?ZNK zqclE0nL)U2OI$Oh69Bz9Ish&QvJBz*G-fW{h8PQo`RWh(k@AH484cs|0s0GKD*$mM z#KyY}dcOGt`0$(}6sJv;EHs10SN&wS_moR@mLh@nfk(O3_SH`zQo>x~PslBVzWp8$ zZgqLd%#p(O*Q*G@Pqs4I>p^0UeacibL{eUdapxSxSzzFDp`Y#2c!s>^b7zT4p`V&_ zbEYgsEDbf(Q+_l6r#PsHf|Nyd?@Kk)wp!$II+ybKIGO!<@|I*AQTDP?OlGRF7e_Rf z=YTA$+c$Mr96S+<7!yjN9F#Le4fFkGAik106}P=!6;Q;hf&2%U5G+ZzCGHC{FQBzM zM3JKpktY+CjY+?H$$sQLB!QCyz|U3MPi{Lk)LgycH4a8Zr-Qsr1!O{WM5{&e-TTQj z_#s9eLO(^j1i7pL%pmR>LXe>QcIpbR3IQ#H*^7<({F8Iz&*-wEU#Vv3or~Xo9ax+$ z!tq!EWnNNTVvq5g9XBA(4j>t-1HY<>pnocg&3KY-^-Q_hLmUSqU~ic7kzwf}F+wXt zZsHuk90aTW8&xi^78OaR-5IvTE?Q6d0!v%4W~aO?IT2;9-!k|YPy})05#fZRdJKLw zNK_L4kihOV2lNGO`z1E~^P?#fHK2?unUf+3yOQ{! z729d*FUCr%vuHSyc$e38w9?2|$50Bie7s<$7?zes)*;Fxykj*Z*64=N?XV z+V1h6gr<_3nhX+^Lnk$b z<$SK3YRh-j;1S zsF(HgD|qmoqAj?864T&tv1?T;>g8WuZB>7ecljWq1QkjuL5KG%387ZQtb&ijAtU{h z-}^s&$AywU5S+kC;O4l0f*OdFzGG)8A-m9b$6SJCdib4~qR5IQpc1^`H`FUsA1Z)p zJ475F|q-R^u!RN9+*Wln+{DT!4H7h*9-NBX&*b`Fq$f>|~iH(Ul zunSLW)(zV(_I-e2d|1A9*VYROBrQQ!9`<0=Z4mZ-p8b)!jO{n+4o*8+?r&vg_9$Hs z?!H!BaQdd1K!NSbAQecSfr!}!XCZnXD~rkyojWv2SZ0nmgy2gmM&$M*!0i zC-5<;mcF9!>_q(|sf^ zFb%wpca9$<@4N~7{Y3RY{wS_Ls)(|0;5d?t0(->0I?ZKNQ5FSCIEtfZzD*ut@CTWk*);#?hRmXF71f2pAnziCiv*F z0ulpot*AC<-@J*I+`p}5f~s))>U7-dFwN`OftwLJ*)fKzxSEM?{Y|hjavA`z08n6hLgJGMKbr35ofFHb@jb<>Z=V{08=b}W+r);= zist34`aZ*N(3N!?ouxR3?-^!t8XQ@@jENp#VLVIP3uVY#BWOoWET-g(4Rme70oou0 z%!1ZBZ*DK+;{z1nqrz#s9yi{@Kew#P^)L3RwE(C=MFON)Okhd$B0~moi}Z(=7WBFI zvh5*1tvNTxg$A}ycC)4N7oG7on6StLkR%jSzK-#sH|D2RfK7l5<9JbL*=Z_#;Bzgj zbvA$f6t7-ULj68Icr9Wi%IMe`(bNyH-8#(XNG^FotYiX1*#w;QG-dr%#I_tzTBsbD za;S~TpKH=0qV0EW%70>`J=1oEMLbo4-7N~cZ`Yh)>*|8_R$fBgKM#TDRW5Q3U?`CI z=C2=!mm6Nag;JK95_)6ENfQo3@*{l1W5?F9=TVXb&2Cu%GklRuBJyJpv1N5ufgMJ| z90|RktZYRXOLKWP1S(~ycm=BgA1WmcOB4oB>IhB_5nsVp@nJ7{MB;<`?Hl0x;~>NW zO>=Y~3Y1&Hn?BB&=D~dV0jHOu8&;b)H_93!26oSVFj3)z6nM~>5_uelzbhqs3@}Hr z zD6))cIC4)T1UBtNb%^5yt#${BZY49oG>OOr{&YrIbiK4x&Td;Bke zc!lCN_hpf;A+x3Dd83<^<`Vg!9wUd>P+N_lwoTiRSLBfrvOv7^h|J`EQmB+GCfYjU z8t)rgp-;VaaV|@}x;I8;U48JRW7Tc4RXoK^OJeePjxWx(=TAl<_|h3uVTX^=e0rNbp4l*%Qspxc_T zFp&`eq(`;QX?-DI(~SHH*RSr8wF|CQw&U-}567x)w)U}zKLuYhjwO16fPuHSok<({ z^dW8UX#_GIZNgHQ%k*m}TE_CDk#d$ZM4l}3fNt`CvAjK}5A2r&@TG4eZ_4xSEmOiX z;O{JYV~2qscUe8w5|8l`G-+wpNld@1HDP@iy+z8aMAbs7j!^b#q7b;hGm-mn;f}k< z=WI6sXc8IH8%N8@c^S?O4B#C8cLVn@ZQTnv)PRrG`nV_j?zL^GDPAE{;Fz16F;e?P zMN51^Il^lP2B70XMLiBDA1$TWH1aWegCqsf$mIQe} z@*hc!3-L35@)(|nD0BgB}hWm ze1C$dREdzANC~6b&2SWi?Q1Z7C}@Yl)5!r8D_oaeZ1zo~ZJdJ?BS2E$(3-3LCwd$U zn6Bn+`ce`SbuL&~hEes=7Ps@>8`Vy903k?)t+X2wul`n7eIP75sB%RAbJG^EOUTdN{ao8YBJ8lp7TEPVM2)l?g^OAn#`DBrkg7GiQfDBo`1 z%=6Yb)eTUPAY|+PawJqbs{io@_I!$D=BRFcaE#}3_9mweDw^y@H9GZ2;NMAQZ)Up0 z`D4UPhr^6K(5LQEfMD`UV3mlo&&%DN+y^!WVViucuhw6wHF&^yM2PBrzQKsjCkKoO8n-#SQXebFgr6wYd>Y|L!Lx;u=IN7JudvFP zg#_^KMgV?<^7euJoF|a}h$nI&T&ah|I(nS0fH3!StpjJN*g0C+l7m@3UtTJs&iGUUnU zTL*o{I?_533}hWxi;=&hnfubCFRb`t`SZMu9LyDvn0@>Do1aOB(2MNhx<%Nj7kX;) z%?rcf7Yl$=vj}OM`cmzl+<5%R2Z8;P1V%jm;e>Hde|_fqDeMgK3n-UO7$8Yz>Dl%^ zau(mIBU=sNL(qizP2iTR7Zrl*M^n5E8{Gw�yemHRtOwKl>jWL2?i;`px}UfM3rk{2W`uAJrXlaG!OjEGqZfY8!5KLm@cbUC|`A~kJFZ!aKP zAMY1xZ4UU-;mXd01Yj`W^DbJQY`sU}y>b!hLwwvbcmpiB&B-Pa>sKW0RwwWkLR#U0 z0-NS?>-)0)15ew>I2ro-Wr+^yryuhgs$E_LPrr5w;i&q!X7M_%M+WHxSeh}^8t=yS zwg8&4imGTvE{u7uHq9!FHS{X-gdOdKJuofRRqu96$;lPN^Ni(8=-Ty=H;=lvs2|#H zv9CPd%5IytOV&U~sO|xp3{|k2wB0&b*I=NQK0zW$V5>t)M|-NBl$0#iWqx{DU1hZ2 z5|)?Uf9}`0+F6#CGRzyW>vzqY9C+;v> zh=SI~q378Ib}e+2pQDVk&$(T&t7UygLu0F?#gkVPeH@={2lbF4mzLy|K%nq>(kN9o zG}=DZ*UzM7Vp?%5bl+Ymst4SLnr8B`sI7nLE8|p6FJeCCg4rTwble z*j)A(H&2@o^BYSdOP;6yvL|Zq{)P*p8V8^Jn(3TV-YapwtFrhvb^vGO)boN^jjpLT ze$xr9c_L^8=8L&{c%jzr#(?|R{dGA_hoTAs;RZ&T0eV|U)WNKudOC5FQRYduVVm6IjxMICk;>6g?}^FDuH1VZj;@y9Kq>029u}Q3 zF)^mR$>3JVKA#9d}72EtTQQ60A9ilo@sSSa7ya=W1NE^30{`U|%3OvmD=-6kgX zLlZ`aL}V#FH~Tqw#-yi*TZV=_$YpJE#Z^`2`6yNYc4Q+(&0j*HjL}4pSpidUCaI}I zH<0%$x~cmxwCiQCYemWR^!1he#}6AM6XsD&`!$%e-mw70E8|i#Gu}XRJW*7_#1#|; zJWk?NqdU5KTrrp2Eub2zF-h)PnM$3&|9 zBOK|aa4B7Z&8s`Ab!M_vZE6nnlkRuqj|b}?I(>m+nkC2Oay3rA|7Fn%^-J*Xs>RdX zUPIrM>DKu8+$~hZ#IrQf6+PriCF`{6oR6yd1_qhI(-UF&gV5K!Zpfm0q2h=W?HVkU-UKvleNRy58!vOnU9T(sxjgM(622YtC;Ekb$6=yw`9T{slX4G~mJDrTCyukG}M5+QgK+(bdwG zGP=RJ&xtT>XOOWNhFS<4_d4+ypWgo^ilUj`=I{BPL2gb82!vwtpPk|IYG!&;SwqAB zIepPe?HIO}pMv3Xn4}-77lspM8yX%4}y%@D|Zfz}5{I5#0On;r@(}#?P>5XQ0HJwcq zrIT9S4Bpoub=FR|r1OpzMMxW8oJ;9lC16P)R*W$|iiI>HpSlfQU%5`+Dx4@H^Y zJ#SMCz*C|Ga5GsLj%(uec>#XdNH0UUe6t7FV6N38E9>{l%F6ywzHL=jX2FlOg`Bpz zYcRiefXu>ZykwqX5Tq3$7zwE!$@wR__eOP4Mc*Ve^~ z@>e1O!jX@V^v3F_4auY-U!rXky(#Z~`Hzy4Iq&J%LbL+slDpZ60^B4)J2o;h@_5se z2mCMfYLOnr)Oci*USfa5+gqitHeMyMy$H&Ko%1up8 zkGi_9@AoA-e6B^T03 z{<-kZG~!;Rsgp}0b delta 19 acmZ4Dzr=ronF^bMrLl#f;bt3^3}yg90R^i7 diff --git a/dev/_downloads/2608cc95ac952e335ca0ce8cea458c1b/matrices-22.pdf b/dev/_downloads/2608cc95ac952e335ca0ce8cea458c1b/matrices-22.pdf index 11109305a01c677496a60fd2901cae2caf0c9f76..cd5d419927026477297ff652c21f371da96c3ff5 100644 GIT binary patch delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*jg5?rO}88EVRm8$0JRwkPXGV_ delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*ERD@gEVmo&VRm8$0JWhCUH||9 diff --git a/dev/_downloads/2667a5fcc739d282a7512f6b7b39071a/matrices-4.pdf b/dev/_downloads/2667a5fcc739d282a7512f6b7b39071a/matrices-4.pdf index 2f8f08c478a884e14e72e4df39ed13ede9231b24..a75f5cdad1860f261105943588a90dccfceee9a3 100644 GIT binary patch delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiY=*{0MkZ$4m6chXm;tb}2@3!K delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiYzCIb<^~4am6chXm;tcX2@C)L diff --git a/dev/_downloads/26aeb23613c82467dc9ad9bdc328ab32/plotting-32_00.pdf b/dev/_downloads/26aeb23613c82467dc9ad9bdc328ab32/plotting-32_00.pdf index 25843f985bd01d23910dc033f5edbd1edd774c7b..d54ea10277b44920aec51f7ecf9eeca68f403ed0 100644 GIT binary patch delta 19 acmX@_ao%G?t|FVEv5|?X<>q3=J4^sdrUuXe delta 19 acmX@_ao%G?t|FU(rLm=<`Q~E9J4^sd;0DzI diff --git a/dev/_downloads/295bb235d3caa42841a5fbfa905580df/beam_problems-18.pdf b/dev/_downloads/295bb235d3caa42841a5fbfa905580df/beam_problems-18.pdf index 1577771baf392b7791467285e9099c9c81896068..079fbfaf8a3bd8def2d58877ced3eb9e7f169a0e 100644 GIT binary patch delta 19 acmZn-Y7N@(T$Rnx*vQ1taPwPL31$FDlLmbN delta 19 acmZn-Y7N@(T$Rnh(%8btV)I*731$FE9tMv9 diff --git a/dev/_downloads/2acde0fab574588f4a28670019a75bf9/plotting-26.pdf b/dev/_downloads/2acde0fab574588f4a28670019a75bf9/plotting-26.pdf index b10181be07221dbf53773b1b3177cbde4ff8bdc2..d21f7e4c4ae5da7b23e176758c134bccf6a42858 100644 GIT binary patch literal 128984 zcmZ_02|SeR8$RB0I*Q^{wk$)*iG+kugVU-g`<7)UIc;PeYOIqaWt$eItVy!Pq!LpY zvP{_~p($kSgULFL!5DteJMWD1{r#8EIiF9_yze~AeP8!=U-$hy%9clut7~cK2rIwr zRxEfgtfjbD(dV3pFcPV#X&dBwUQzRiTY%dYpNoo`mTni%V-)v+4_GT283~{F{ulb7 z{{K91+{ZgWQJePxO-GA!9_QTy6!qXAk6{B$Yy#W@&MWG`zp!)*2srQWt*8tAD6DC7 z$?f0E-WL`3^Z(V~$KB?9fTA<_+M~z8P|jlm6g5wJfgv2`|9OP}=SfA^{~3GS_yc025Y1>d+A{HL>juZF&&wvMjGe(-wD zBVc0SX^f%)JiJ5R-agmlU=5-+27;6);~#&Er?VA{;&M z?(^??XxNwl|MPBM!r0Wfil0Tb?;oXI!=;}yuJ)MDC~p$`!v1^=Q8l8kwP$T{#31WP zVRpWZO{Dv48KdzEQq5BR&SNJNADJ$cF0+i6Xv-X9E_r!&a+zto+_=0%z;PD4a0?2{ z!pnAT+>zXvM;#9yO(b+X!k3BV&#yQSft7&-E7rHCT;TDByPEcYrHIdGJ%^D z^+V-31HH__Ei%FXv?b!0$nqk4d2uNk$5pGH*^2KeDo@0D81+lPxh3S2nV?fN^*Ki; zsduJ}iH;((l@#)RAA4DKX@iNV+doW9d|sfBNt{beRng5IR%@_>ot|fj{od-xGRtRo zs}zM7?=`)y|D@~|mD7u#9irdPlj}2B6XRo;GoXi*Gx-$jQWu|t?+&h;&FSr~?D#hD z3{e**Mt>%R-J?p5LQkJI)M~AB$N??ZpkzX(X-yUZ+Gav-&y9O`vYD7~N z#r4wL4{J!2HmK^CC>TWbU<=eLr!9-7%Y(QEA4l#j#uy`uzwLiDPpoebZg+90QaI1fg+h17sOxvv0Mr>}o(CE7T zkFwsn9N2HXE@yWB1oLBjfmP^0rpv&gp5v}pc1LkNF2$XG*udO&Dx&U7%IMDFi0_tr zi4sE1<@Ys<r|-rUw-s6KhM!9-M}LA8!&bJ13!+{?~8>!{28Q?dx2F)q+Zew0on+VaDGHhI}9UP(8k?Q@hVQt%q zv#nH$&V5%WpIy2Cp0+v^JwuP6$^BTxc5LvJ`ndLaf6=YOtvhBhchx35(=+RLBp4_< z$mvYyBrKGMnNDQYhiHa6CkJ-5)cJ*`9eQHJ(a{W>RC_b`AUO5N=nS-m zLi4xD#SM1A_?tbs5x@<>0!A~siHJHqM1wA(S2^iB&kv{c-P0P@4&;@|EDwxuRiF{k z%vv;;jLZ+n8HT!K54`%JmPoJgQLSX9(mLixz^+f=W%1g<*P~_dD8cIjYp41v zuQYs6ty*8Du3Y%>=C+sf_L%pOKi$)Ry6~)|iXJt8=?OQcAb4Wj zU)X${uuI8oaJ*=){s^%?tA5jBjL%r+{FO0V#N*PKf~Dl3?1k)iQnLTE|S&!o-_Vfj6U*`D~$+0n2@pA$$LDhCEkzr+xe`w;qZH9U*-EG-Pn(L zNseWA|H1unRasnBSchAEs?Mz}__pCqbT_@Eb@OB^a8f$U<L==LddT;Nqhtz42R+x zw05>G@uVjX9!9z2>zMX_1ATr2e)WFN>i3#dUgj~L9`(IlBAmPK);gE61jnGSI-Kyg zoOhpNY&dylnsOYMr~~cSEO(l&B0t6-ozM+a`#86aI&^5Uj`*B&s9QN_R$2ahxp@`! z-wIX?4*6(VA_zczW%#MKHDcHMD{ooH{~6@T+#R^Npv+m+%kHK186#QCvmG6zEyM!H z_nqdJagaac2b~?>G$%o8GD{{a;D=b32p5A-8$xlCGmXSrRH(m88XOrNFSFPEvIN3t zY4A^tp5~_b#Q$QC;4J-@hXJL zl5?l=VF{Dww}av1XXfb(K|X5Nc4It@UB`XyY#KUoWsfZ~P{LE{{)6jtR zhb8oq{kfZqmS^|VrOk6Q|!z&GVdDH{9OPyhkEjj&eP2cB z!*XBKz(Tek8Gu|(+M4djb2=;KC8)RPX+U=EaZSgHx}jaY&wUY zMW&+5*Bd*dnb}u0j{9Zx_2<2LfgOr4=ecx#+i#IY01i#htsfln+Jn?rOF(qGP~tuF zg^--ExH?6cmh`80Iv35EV}fT{R`sI`pKgEK4jk>z{l z$?k}s9)-07fwBOnCY67G99qBeksYhs`6VjosRLv@1!J||5va3v&D>sn!|UD%6||2U z^LiPKz%sf`b}mhMq`pj5);8Vgsi)h5BV0Ee>yNy{5E3%>ud~{^Kyh)q$+*TMw&3LE zE6v{YcZV+;Jy;+U%&HkuYy?cyO6u%|IDBKEtaV-DMBHG39hz5}4;J~D19|OaF#=bh z$)M3O}EoL zPZfrY;&9!;aUXaQd8RtA-ha>E(SYw=+V^C~L!n&{`WY=f=Zy|}<}dfA9-j-TiBUi9 zhh}cneI%xl`8NGbQCX`TGlP(ED6})<28Od4Gq|bfl~12-`zk`9-1)nxv#;J}v@%#* zNU^2JBxjsbd4GE)*}y=uLrpZ@j@9mLQ#lj*UK#R)eABi9JnF3Wg$lA|jiy3jJ4r1< z8TU40U83}|#v{L960~4*su;5AA(wW8I=s7Rj2Im~EWR;iC<`wsl|=wSu^Vp^50DiC zw;vh|zqO=(eDKIWGf4g9fmnT+zG|y!{0rBDAq3gyo^tKLQrlb%hGRt8M_6m&i7|8x zh2xW_`sid*(>DSyBCRbS+8cbH)L;L=vthvJew^e2_Vn&y{OkbzQ^j*?3zi#J@^`c` zvTE`GpafxJ74>yUKH)VoeHlBhOhk)$p`rb|YU?t~CYVoXej~h-YR`gR&X}KiZ0tko z@0t&K&y>X8R@Uj9NQOE8z~Axb^ zO{KPY1r#0gLm$aIz80A?6a1@T1h&ui!|Om4hH?*&%o{|2)~p+v2zkN`zJ;^*ny44^f?d2&5KjHQ7s$~rkB(3k z%zBzBx-Y(E4KK1i#hhb#$Uod%Lt#D13|SVc=>Oo4y_soxJ|fdL^v92D_j0;adodYT zqTZDb!<66e=b+OdAj)zcq@@_$`RqLes|)7i999w?%iKag@i(9!X(Chxy)6syA}4sKIbRdHoZE5>2w!%rg)iqZv6%$qNsK7P6s_=9{-^PN@}* zX)#Tkg-R;U;;g!{*pSv)U6xYD2Y1<6KTDVjQSZB70@MRaZ|3{;pYpyXE5WSSK@K^- z3#D13LXuKrZuz@|dLYf9bTT%!S~p;$9DDz&mv0u@f4nT)m3dTYbwfk!0J zH?m<$i67^toF8xqJwv&O&oZR`y5rG}3VGBYLK$7?C_7Zt->cv46Jg-59y@Ry0<{|^-Sfr8Yd%Pd zMs=Aox{T_J=1gqD>$~v;HaT%l+w|a45B2pRes+|8A}@h@*Hvl_)vS7_UV2BzK3CV2 zj$Je9HH;ndQoJ{;6X~_W+e@i=)mc3l)*1>HqsiS+DhVz3uGPw!-9D&fV~{K>mSj<( zJETVW;0$tn`n5o#g>^&_^pQ@)o*KQN2C7;R;HT|I5S?iT8RxlZlb^GgkiLZ*| zDsrc_<97+RZlZ^d$ESaIh~V+y@o8vvZEn6uoK{p&f3dPZsNoV9dB|ydFS+JSVdJ$i z9<*~J1{lK_Suv^wSC^$G_S@|L$>r9TQ`}K_7e46Egb%)w*82>J4km>%RWJl)*=s={ zVfPhcc5X|0I^GaSh#(s2sAB0qqgub3?4}-U`kQ3bf3^JEU9h_iCgmAEdplITk+z1{ zW?d^@KSrqnAGMR%khU+lE}qWD9Oz4;JdvDG@PDaaLaIC;Zv4daPmpHx#UGQUUfI)2 zJ;RzT9la_CThm<%&ZWsW%2g!##f9J=|rw*ao$1a&}6PqGl_;gw85)2tt z96vcWWk1YxLE2PaZcx9&fp5X4ra{HAAdm$*In@J^1wT7azm54ico9%I!yJYXBEiXh z&_$qT&<)dL7)w2Y)*w&*#9Wr+>s&WQJsXN@q*&Q_yv-J;Ngh$U z5@U;ybE`8>59j{+Kqf6Tmef>)|MM9rF;{V~y~gOtI%ow0s`Q?LUC+ZSFpU1~3S`bY z53tr7sV420r`Gj20tmc|7pG~~-?WVg6Ulk@=UjPZ8QSRV?=?VB7`+z!#%`nZsdIH< z&D!mbwb%$3zpMy@t71)HPbtJlodTZdi@vRjh=N#Z=KQ~7w&|29k(a?C4ks&gJ8;Ex zGhTq||L2e3i1>90kCeY{Mpb|egmKR_NIttS>H#n`($g97Zg!QKGz7#B9hVo@0b3n7 zK5zy32~D_*OH_L0*=PAGS9i0(tWW+C3_Muht!h4u@{4}lZ69S_m(Uoz-hNDIK*S&Z*Pq6@sPMe3;i&yAP@vrmz$F;KZ%BJ5k(hQefH0$&m za#zw+^NOCzH8pPu=ShD&b?DH1w}o& z)()q~$9}qG`2WG%hV~SqqFpckJPL$aI%9t$Qa1Y@hjH~U;EsnkO$R!weq(I27V_Bx zoca^lbJK;x)b>E%ohMeY51=UIr!HsFho9812_0OR7x_uncvUQyeQQ7EP&P_ozbBc| zq6HL&;|)5xatVl{^kB~hhjfS1KYE;6Ci6po3j-QYjw4I!Rvl5xx>j@?PQb9KNt^Fn z{ihk$38?aq?7#D=1(NdMg7hyCE#@yKS{|grKI>PKrbW zgZ$DluBv`!PujwUha&3&PWVx0;>1}`dagT9H=k|ol@Xh|`kT{5c_9~}CuyoHGgy%r zDRjt<_AxJab&uyp;saD~d=y9~=T20_p8#&6+`P7qmHzQ7Zo$PiihAgdL5Tu0qk+-; zz+H@rZkFT0MEU$0I-Ma>{r;0c?r;*7F~1X^{ro#Y%(2Nz|074)3`#CO zR>sp^FmTWmD=B@vvZurMcc+=^0NUL%dWoicFiWPCYQB5woB#W(x*m6Tzxw`;{r!t{ ziq={qv2h{!f0bv|#bYFEvqJ9bv6#em3YciZ$LT29YkdXK>liUy~lVo6+9^ z%CskZ8Pik< zWZMh(Z@Wbjm0tN|TE5NI3h9zaN|{B-AkN9{>n(0~)K21Y?fSLIY<UAN|~`nrewTH0Xni@P>#kBzO>{h|$&(qF z{j7ygo?`f)XHS!$Gth6PvPcV?=q>L$WbXSm@PP(^v?ho&@}K?c_YR;_(+aIjvtC zikPf-l$+s`K)h|+xr3%Wl=m?L0XLXJZzIgr*x;5;1Jdqw$t}(vxbj!{yY%P}GAI+I zqmT+u)}N`SN_}ITn=UNdJ&a2H(qF&F{w|)HqA=ch9M&S%{>j^UnRuCfU(__-F)EIw zcXeFJl}f<;#KmPHW357S3=9wU5_?+$qWXLtj$~e%@7+tSh}6*3;rZZvFE%V3U!*Sh zDd27Q$j8GNILsJEp9qPlv07We`Tz+mlnlK6S%Wpa$X{g^Tp_x7+;c4Ha80a)@P>_9 z{rOoqWozSN|0>FG;V&V@>Nfif+*QF} z-miG49WRTt8u*is)VkiFlH*MyjeqQtDwUdYv7U$>&xH}X{JGMeTZhil4rg9k?SiK& z*vGk?bvS%a87-fpX~*uHszTqgH{kjQyng;#g6CN-#DR694cy{qITF(%R8B##7SA z>0B%LmGimEFa0G}uHXELF!v4fKD>APrXG1X;8tn1?{$Pqj3*Km5gDGl%H7g9ad5k9n0jwK1A*9}t&opk2B_ zoZhf#PtxmTw81dav43Usk8ryB1UZ417 zsRT;{;5&rO}RZ3wHcHlNi&w*zlvV^;)l7`Puuxr{dxAx2-y z_c8y#8u$yx&cnP8#Kf#GyFWuAzIAQ+Bm4S~{6#I#mTT*G6o6)Q79pV;e(k3aH8-A_ zgA%HOZuDVJ7H{DxDdZr8q0CSFL^vS-<@BQKia;U@{W5+M5692%3CBy>aN@Aaf~fqy zg3enMp}B5Zp`Sf4C0bi9XOi6&!hgC{a&$JG40n>KU;eVm2;Pw@=L2)EcET1jf${kI z)$$yS<6F^Yp1)4&Z`pa>#BkqF8ir>uLCoKn=aM6{>4N|h79yhW$_TzJGF0x4_hb;P zNs>E7D=Tt%k!CG&$aa1<9k!||IecyD2H2kO;t$N-XyLEeTidxC=CFfd)yeeH;{r$W zDZW~{mxl}kt9$UabMK1y_8I<1Wg){CmLyHRLR(sSHWe)J9(ZG@o>p-RT&X!uGy2FjqfJ*TC zWK8HE-t%>F&vdhix>+08>U+)!hdMj(!69`=guND@pjC7Ut9GU7Stb`^}zb`d9{B31x zNqq$EC-A;LxhS>t<^_MPlif8}97^&y;%yAPM2Cz#P80|p@F{NXL!aYCaikhO>RBz+ zvNTiATIlI#41HE~0KCW5aBA;zY~^j3931Kyo{3wTVsTT=FM*{avkiQ8(0r_-yVsWU zw@`61`%F_FB?YxR(;Zk>b&@!>S{cRuB+?zpE%3j53NaWV=kqIq6}KLuU>b+Cwun7)zsfs`o>bV%UC1k~2gZ;T zh!6UgG7!d~tHZ`H6O<|EP|T+tmLZ|EdC=Jbqjpdl@;@7m$t<5-6pV3xB$MFJmraSy z>z0}03b6TJrwjxatqk(=Mj?4wzQ>dfa8LTJ5X2+FwE1ej(SlwAB>^~BnIxw$<|lMu zEYs}42bFIc#V$zDLVze#UOHXLj06-ZFdbdGJZC&<%Y>3MD_kz|H|$G*$uw=RBrU*& zigoxtYTKSbIF?R18qF{_Wh4iSn#%>0r|6Xal}>oy{vBi4OLm(=hP`8xo2v>TO#C8^ zqQ^w^?Bqoy@WO+`^MmtW&p{&s>bNr}G)e>mO`S6h@=fzef*rgl)$VgA$d}-$-w?vi z86?=#&^}m@Zv~r^eS#>(fXuQPNRl^xiQ1SBg(Zh}g|XJrg3bJuBL}#8yb+*-u)!Ax zCB7+UB-yQi2qmxxm!YuAmrvRUL*rIJB;F*8@I{|zZHJ7UJXRpVbN(seBK-T+J&jh4 z0{;%JmCT@FzX0t|#i?g*LDE;|3TSv4n73m@FS52tf4-K?{Lr~;(j>3Ik&i|y>Ie$q z9iJQ^+RDw*0@u&+9b{jusfJ@@WO?ad4gwt=H);gN?4sHJ7AD_7R7|(Ivf>Pzjc7T4 zR8&<)9d5mWZD+ggYJ$@Pu=b{5F_Z4iyv~F7!M)T-(I@p*%+pVx>67BJl72zGVs>1u zZ{1Kc7_TvG^h6&wP(y&oK3N?CMukjDrlG@D=6L_>y_IKJ(iu@k0ushf?%&O?pY(Xh zO^P@OR(A4oyF2h08~VIg$N(WLaik9@pLQ(jz**uwz6v^jyFwH0ElJkXG$z~DFMSay zFG($u$9~c+_xTlO4Hqu1lchP;pmmQYs17h!t+`p0$LKwAca?de#=@Hys6e`dS8ErZ zVe$uJR*q60SVydVv?fL3nmXl#(tPh06AzKn{>tHP9(xp!_}wPA_kj8VPvggzygV#% zO;tjiOxEf-Fz3JG4n_fqR-*KIgv8w2>1Ur`JfqsLP z`9h$LtNT1RFkRDBb4Z|<+;vAh1br#I7*F1NSdcN?#eeO=3%T)GE3)Kqjlhc*gRd-c zzi$&bLXx8qJ`I#9dA3`fflF{t{KBgm<&zLvKiRL~0#>zq5F@LQ2cQs&G%#chk81*@ z@e97LHyx#LV81`q3lhHbPs+NnGM~S}2{C75M6Va(r~AlTt~l*m zP&jp|FJt)$)k~BX+%h@lW4xUePOI5R#+U6rAhC4F#|U&>+!-Bd{3{mOY@{=8>E&f_AnwZ!fY%aQz< zCGDiNAw^>U!RFB)#`>pR`%Xo;e%9VBuOM^eQmnb~FN5@;+*O@4<6or_F(HyMM?VYY zEG(TN`N3_TGu1(;7g3-5>-3JL)86SV$r11(A9z$?8Cmk;wZKgjg5m^u{&lLPhhTHB zqe;u&P!AWcFFK@2Nq`Df^gtU`UfB#u^72_!u48QXz=KbzaXNyf1Mk7gAdva#_q(^k z;3I~7e%E<`PyTwRN45)I^(n+VTT>7*^KR*Y-Z{NM-dGtwr?eGv_OYW7*)jWG7HmjVNw|i2n zw&^P0^_XQ#m63nu@%zJD{ex)6oDq0KP@!^6+bxH~z>m)6R8gc0y0#^8H(#Me(H>l^ zs0xp#Un`9NKtHgY(Fk;7+rW_pl;4?~KoEl3xKoSp2^xd2)E(-(#J#K72&>rhy)zu$ zy^rAiSu?j#X5kE;kqQd`iQs14+(&S5d~7M1P82D>m)hwyRia4r>3MRB zCjr+_VdV1{~@6YyYS$H-EcFLLP->- zUVaSTjUHr6n`v;E5Hm{(>uKP6aB8pS#fg-Qk9WU956ruI4w#RxFMJPypk4H^wc82^ zCSZ(DL=Fk|U^l=`KISQ;x*y!}VO>umHoObLqIxD^enaI9D^6m&z=ZsaziyU%5(B41 zPGgL=o5%SG5UL@9(!8!K2snl=3M5eTPB}pF>5|1=&XW5%1fpm|IExYeM3An`sOqc8trk3@OKl^a`X8 ze=qV1IFS?m-T6B)!${i!$PM=Zh0v8nVi_&VW`Go0f|X=Xi&pp|^2-_6<#o@K#mC+O zVU*n%(>EjC_@-( zW>Q>k4YMP-UV@2O-+s%2DeYbMbmdO6V+40M7)fL}BKWYG##ME>_eF-^l8>AdXy^^2 zDi2wFY{5vg!dyiKR)pEGQ282=VBSn{izM_FlF{BVe~KSKi|SJTXa(!=)@X}zel3BLk`#0} zmf*7nD4~V)0B%){mVeH8?)-}uX4h=JF~x^U7B=L)!hz5i-c}^Aa>~zs*6<}he_x&c z^%EHs17IE{H)bW-WhICeOJ)|$uxZ3QnxF(uYbLL1$Cq1I5s2lezt0LXA?H+Wo!5d$ zL#nk*7=+l)c~X7%*&sf|u9_^2%M$c`&8ZX*R>Mn}u17GY&bWQKY8&cIpLgX%<22HW z^vIV%y_MF1Q(tXr0ri+dvHUK3ZXqgOFc3_lZd2G2p=dYy#To+3P(JLEox?7qp-G=n|4R|~1Y zWeuDGTL&Ax*nDtD1Z?#0Q5H>ko?{03(*vuVJdpl;t6zsbP1V*0*#IQwukQKCs&NK; zm&Z%8DW1uevGCK$R4ulTl7LGr<{N<~GstqLS1Az7jXryV9UkKa&b%fiZ(m3}Vk~ed zfycLT`D|;Z74386tzc!oG_byE%<$iU-)hpC0Q6Me^TZd(WaumHSZJSJWdu(_7ZA2G zTn-^9Vl6Ig{}(bh7*(=o8PU@kAWKsl)1>0#b_>d0Xp5IG_|^j`RMGAbffdg%4rSL} zP3$Hx7vCE$c*Yuv!l=S#Y`9)80KtI;kv9GVloWi1J7RW%b`+#AUTO4e;|fdPoDg+= z&Xjpq?gKP?!;GLm2~iYvSpZ&BSoyg>R{}%`p2|MP^R|54M4aJq!TOQHtt_?qL%v&z zNO&jc8$j!s2r~qh=Z?BjJM0Dm-?Q1|!!q~AV}Rl6%Jhzpm^i^lcR-(%3;rGSFf=PJ z8RyD!NvbvCtqMuQU5Nqtz(TP!(pomq4X|s_ozsIvkSQe$8tzmGLt^<^6EkIYP%P_K z{*=@sX37|DemzsVQNSb^N%oPyJjV_KJ^K0p%XHzWe?-MX3!ziS??3|M^^bv~p>3-9 zmENaIKYGKId=;8tGahRRH%dh^SzrIT3ev3fJ0o*n{42J57XJ{xCW0hg@fw_02}&m- z;Y5p|M-l(Vw+bJsh~xpmx=>gY?qMYm#nJTnz>wcbzBj*y@i+y|tYD=}bnb*fRD%F5 z#F)f@l5+W@`xO)a3_05hXD( zQ0dFhw_yI-wnA(1j4UBQYkBR-6z0rO_+|02b+evGlBZYqn*_^z9&xfYB1B>G_*u+Q zBqLSU{gn&9<=LCu>JQEortE;C>oV)dgfuT{_~qc4M+cQMScOgst>sSz(W@k1BFgtk z!#OhLp7jJT9v3n2#u!XC=cGGeB&^f~+Dv*qH~PQ|)nN!3K|l)AdgJE^)2onM<}W>V zIu$7(z-^P)w*BB|@{0?r&iv<8T4aRlFK2x_+YExmM%}M`g0D%9*8Y=E@UNpSzC8pD zGF%zTq?7Em_dV{t@a2k;WaiesHPvYQ=|F#e%s{44p{(xyHv7xH^6zl&f(& zb~T9Mw(UkmrBcWFF}w%a{NO@<2@(X-MzE^OQ%MZ1n-f!o^u?m3&jhJm?*xk!s(~Os z`v9n}@G+6z$JX0`SA5XrrS8G5BNvi*(4OO4YwIYGDyTh@Kkvg@CY@1S1YrZr%l9wG z_QR>~P_SdBAoayoES-JGZ+!r?)b3obZ3HiPWPL#Eq4Fu92e3%ZXI$SDoNa`2*KTIH zPT|U~lab%MagjPJnM$kaL@OLEo0l*1DgIDAlcE*PQT))KB10iKWg!t%gOG_DQE(2o=6oByPZSIK`2Di*ryXFVk@N2YJ zxkI$H8m|#?Rm=Gzq^uwo6C6NOV2(H~kw?lyZX5oQ#M6@qR9R=LW5QA^r!6Op=0^|CiOCC0Cu=L%CnyY zX2Dvow2_a971MZzwmqMPmY_^s1o*$R_}0~BJLqsBug}<;WbE$^ooa%! zKgMN%!u-a!p-+b^t*0N_g?0v(^ z&SHFs`=M8>add;rm)~CC>CxcWHfsT8utE>c*WSG!4N71!oz5HB7tg-rFJ?I!r+-Gk z59U}Uceenrhw%b!GA{a4U&UtjGGhP2(|M=X&-#mo0=j)A3a01=c5>^Q9I!SpkNSVEVsfg09YfGLk?UQTa(PvMQy#xQuBfK8;^G_q;K zfWX50O?pAx->3mwo#xRaru>f`GD1;Eor27=a){W@&Sms|3LGkV7y63dN?bk^I(YbM z1a}J*Y1u5L=Oa*ilEgzcwjBXZPeFpHNN=mPG~ip@9Z;%_OZYPmMcmQOXy zgC6htl@+(hZ&JnHR^#mg&dq9 zRXwqc__+n7U|9#7@2Pdr!69zyLu&Ha`jxmz7w%iSoAXeuQgsF@_0jE*#KFr(J0j1{ z;0Q8;`Ns}hFRu(NDg12@ObLxUH*53QZpC^FaheCy!PJ)SvJm?0c zbs*@%+aFr$+w&{5$OKD)b@t44=^y?L>0+-P##wd}DSWbL!IUww|0?o}iVdfBmT^9f z2S;YsKq{GSdYfN+tw4${lPi&r7>eAKWe~D$R^>Us`eDNZtqW_oE>P7Xvk5W5x z7zO9J!|HNjN0TCRnveZtg>z_9Ti;nueqR^f`HwVB2SJ1cPfN zbjDn$T=T^xw%(~*lt;uz1Cw4JTa$=?YBUciMoc8hjnVM^N!_$l8R!1kFS(ohM=R0g9^JTrRWlLFvt4dnH9AhD11Mju=CRollY#n>wJ$9g{cv zURul8)YUo!ba=aaFKnKI^ElSA)V4sAH%S6`QdnhonB?qz8Q;RbKf2Tn7jYnuWA+(9u_LHXR(0U`}A= z`XucpIk(CwO4^}@d#j)V~Mtb@+}mPo3II`Vv^U5bpTGfwuzB{LZxF%0soOut0V zEbD~NX<;Hd$1OfyIoi*a!8OX%@AMRM^7F`W3O?QBxj2m5%1bq-S5YvV{d_|q|ArhmpvFS4V0z~LEX`SHmO)t_xDdOlD14{T7r)yg|dPB3XS8RVa#zRRZ8xI&C1 z_)_X=-ZcmM*ruyKtc9p~L&9Slj*-|}w$;!`!Q4>d2tAv_<^K0kx`fV|8tW@roMmLpJIIWVmmS<)nHNprIOfch zvpwq+5a}7n48M@Pj_p^j)m1+TU&zf|j(4`mtJE|G7eH)Ip!iMdC!k(80$ERO980+f zd_pd}c7zx6c{goz$2rUPE%-P3a8P8<;k)x$+&!5u7Aku~@T7h*vF@v7ydyJH3%PIA zO?Y*FtI~g~iptPUqmrsRdq1vej95-t|8{NlA6Bvr<~mU2w*ROj6?Dccu&Vwba6e6M zRm9*-ZpPw3XR^2Cmx^`eskV~kDt6r+zWFL&1B8L%^=JH_z$vZ%8nco^78u^U>hfk+ zeoAr~efQFId&a$wC4+O^;eWgaCUXd8=HnqP8KlDsqrui)L-pD@A)lqhjG6s~i(wPz zKId_NotO)G>oy}vpzS#D-4QkS*z7vv%&UWmuhd4T+1pH;L5(?Oi-P;Ap&$ZVuHO+hjLwh1@9FctpPk^Mp9Lfm(C2mB(!`xl+G}DpOCBz@^46 zv8ACy@98yd@pQLJDo;webg0|OyTG!JTIWKD!qIBaPDr7hRaHN9W3MZWOHZcUZ3?qs zm>{3=p!vTOiL&_bE|v*Z^F}h)ziZxOvm8PV^AOP+ zOEz~Dt(SH1n`$R!Wzz~?Pdy06a)T~KWE5g96O0eHXN3O7>LkgY-cVdhI&{03MIB4s zTVl=}BsyJDOOV+!Oqf@lqt?O4y*&1UYCUMyhI;FJ_kz>#j@O!Mu7(rjpKuDYC@x#S zJ6^hAL@(Z^y*(n6m(m@(^Wq5TAJRtYRMuzNXM@>Z>Ql3O|613<_uQ^U7onm&kTxdf z&d=QwS-kf)<1vo(eTGv(kwK*dfIfZD2<|ez>!H%Ee*b~h>A~KU^q&w4#&?7S@DvE% z*;sER<|Au~P7HUzTJ%fMXA7e_n|o*5oOdfP$QhOlOUv-ihx9GvFZK$qUsw+Rx*JlD z4UsLt1FN9p?E16>M31qI+XRJTef-QRTovf;4)JZ#y{f$TH?K&d(i*V-hyxuViHG44d}V#b31l#?eeaRypxt&)yOQTcqsQJtw!ss9NQJ>Mb{rFkt`ZGnlT73{sl?ZezzYo!5fkS)+KoWTYM*D;msLd>S{6kLy@HBAh z0-R6aT{$z|^zd{p>)MATKf7T1zMR>T1P;^Y0VT@L0s>8>3kmlD1NL&?u!b>PxV@9hx<$>64?1e}y3uOw+`>zr z(CmHJbf)R+F+b%Dc_Pqy*L_#(xSO+9?^k;9ZtEkS-)M<7m4hCo`n61sH`Eu6kx^#; zmgM!Zv{#COkDt4gq1|=k;XRauO z{vmLj_0`mf`}64oirQ?c-IjQ8NeX<2QY05TqQoaE;98ljl4&E&cTRa}>Tido_+02F z01woYb#Ic5J=_)%08#1h&ud?MM~eD!Nh=q=dn`A%`H&UUZjA% zJza)=?CmchWI+;bHCzm8K*lZq+~DHxO{-yedDu$fw6TX>a`&F}yH1unq4z_3Cw!BII<_`a*o&&sYWihX&vx26id9^}{%r%Smf=$JvA3&aK5ImdxD;2H zY05J5(gf$(2l}`-W|g!pzL5`V)5HNi0C#LnOJO8TEDT=^PY(XH&RCX$Y>`HooUC}~ zaPas<2e{)Y6j9f}ZOsN`sigi3ir#9lG4o$wqcfzsFREpe)pd^`MtzJIo8gOcvII9R zco;pNUki?$34L=8tMx6PRT^Ge*f>lC7Q|Tx?hOhDhv}g+{r@-DU6^ylgFrrs4zT)n z_QO#4beW2^oaQ5sC(#tr2g&m&;hd}Jw7vA%wy&sb$DH!0YN4(Ph_Xg4vXUGD+ zP1}{OPnT}+)pELCDu)SkU9*pEh^pM8rRzVx5W6<@NFyOc6&xs7Z^-gz z5_QJ6^OT-}Lq-jLxTB5WE;EGmEf7fON^AaxPv)Io4>>&ccJYbKhUWxGyv>zt*%JhiI0-bGe z^KKWdM%b)n+~fqCokx#Rebjve5);6sfiJnNhesfmKBMK#okn)50IO(UTG%nEqNmxn za4(_}T#d1DH1NQVU(QA6f3rp&kzF_C#Oyeo^ADkHH@!y%x?pd}W%5|mj}f>keeU}| zno}=ik{e!_4n?RIl#QvItG23^6ux>B6ZyCN^g?s&F4+f`aWq~g{z-8&Drc>!M(+SGq$+kG;7Hb(C!4M zT+#(|uT$B!yd_^5E+?lx~d|O3k_TVfLpDG+#a?AJ`iJ_vS0j;sDv(Guc+d zG3^&mHQ!~D?D;W?9=7f!@6=AomYcjA0UlQ5Va6lWwCe(K&8BBqW`+M0lc1|f=)s@L zmQF7@VirPr13rVx58Nhpg!bBYW1SdYi{r5dZ=KLW7l1bo2G|yX*y76trx<8E zY^F>&Iu^Q288u_@TDU3wZK^CC%2ar7ot(B^?7Nda__eqNx>kwVdO5^^hpyMj!EfJw zM}Z?BDkie<;1ZqQ8!vmqr;Y%1BRG8jpW8y9%e@keThw$F+GjsHQ zV2m}gmNO*3t-aYbB%a!Z&-zw(K?=V9BB}Fh@#B;joX*h2rY)v*!@wfLi*A}|xbQAu zyg{ClBoM}Uq)w;d!uLezXmT4ZeJn6dI4~Vt1;ls~UAK2V+^ZR4R-yhYChG!1@9@U& zi-0-d{Sz(A3S4nlPj5DKu|1CU^llCtTWWEbx`4&a79yvsjZAN;KfFQv7O`a{7!qnMka4hsGmxc~c-G#3!b z2L2CW-yYBO7ynN;mCy~9nslK)?#ZpNPZvo-HxWb9)qPa1GhIZv6(X1DhL9n-%x%d1 zwsIS}EQZA}teF}1JMUe5zQ6C|_jvsNTWj0pU>Cp=ssM8UVN1I3f!`nr8M@d z`pdDJed5Z-Yt9I>8=kXI)0y(2#UCA(<2myxqv4Yat*JBM?j!%Q)9yB37io;lWbMng zV)mduFC)(uM~TA!iP^22eP=zKbIai8gKp}Mh_qd4q(^r?a7d@q!Hj*{ zoJa1o4{hPWeoq)G9(W zAI>lb6jwlZ<#N%C)<**|KzGd9thu#&4h9F&J>4I)!!YQ&hbR!ee64_&`qm<#FP7;A4D*_$NvVJm}Oz|08 zZkz)*LnY}+YnQv^kBoZ!EyaJQ0;J{sfL@~)YIp}QGGMGY%d~%a!;!7|LSW!scUgCj zfj{bZ0=BTM&GfSeJ(-Kxd|psBpBX9j`C`@i@CxO`4ydBX--fig!Z&zuSZ=!RYiX0d zXHB!U(r?9%R}!AM?Y7>d_05@|wmaltD?pI_7*=O}9_nZW9WLaH%0YY4rE1@V8+5P}C>d}VULiD;~JNjyIA;Hx8uYO;vVI92> z&Q`eN-usdDc=7$;zrN9rnVb&|+UcY^ibzcw_(esTPy*4*C)$UkBE~~z(`Ndmzs~J1 zpZQ!~_1&AA`%T}rdNT1o0>4Cyxe(P0>z5qH=WAut1$reqqpfx*X-5Ne7^${@&sAY& zX;9Zt!I=m8J&u3gOJ*7PkuIVFgJwqE*(lLC=^0~_V_A~R-XXcbzjaE6X9o5yeo!7N zFkp$YAl`W<%z$o9#*<2A3NI1;s|#UAmO@#`fx!n>0h))$z9mt}wDao< z6f+L*xPQEZ^Z6OYG-u1NL zy*r$}wkuy6dXhM-)z^P2Y817l(4!5xL}K^H-R6o+Qc)j#5fbW_(oa(ef`7H9_SiR@ zd9shN1oU<^I&mq6ICP{rV!rm{!bUMtOCT#~?;u~Qm@9VB?+21HvT)`^RqW(X6gFrk z$-~7`Y+Cl<+b)kKgvs}c0)2Js+tTJt)u)VIdT*#lZ;tO|VDiCh3EoCRURppK87#7F z#T~TvvaNQGm}=4u4ch8A_bXyvR_<+=FdLE8#67?|t=8N~aDWYlY4j?%xl|ssvJZ;{ zM+JXjSyednA$grd#%~AP6%CP0;VkXMGQv{i1b4rKcBP+oqw54m`CCyMwTHH%&kU-@ zW-JA}>SSb3yAAX@Sgh|oJXW-v#?I=vY1jTC0h3o4e=6cvcv0Ld(abfibdyUqV#txa~6bv(l)Q*xM25JFQAVzaQ9E0~Im%(sC_- z{q0Xk(c7qS3Kp$&#)*39#q{r@BQOx5>ijeKPArw1_$4`5&81J4=*+Si7<@)5hdNg&@ZSZ+W!aJ06 zvBcv~R;-ihVi^LCR=Lp@l~L}BO3R%e>nAw=g6*F zlrgP8`4SMJETqYP&kHynVnnPbh}hJ}TN`?DhOyO+yEy6WI~|~2h4vX?Fgtwdp&{S8 zrR8SzB%`1m>^3i1t}X@2!?igbB{$0z>pite@c`#TjkY(=sosSTB_!UrR9>V(n}LiP z=R+N!-sWs)qZm2ss_lQuzA87<0qp0=;DnuHIhOSv|0r&c z>fP1(AWk>*R8024kyzLa>in?`G^>ej@a8FV;FJMVdEoM0=bw^D;FjIRNdAev`q@Aw z+}rMzO%we3*WaAwSlX!!tSnzYan@pt2i!GFf1f`u4&LW_*I`7HHGlWigK0MBxu>6h zTT%jOJUDTNN)nAe4Y_p4BQ#UlhzI5T-G9jRC{teXRtTs3KgQ7451}70X46lK4?thIn`7*&fA*8Lt{2swK{4mjHUk;O0 z;VP6&jUFLzJ72?%T+8qC1o5QFqu&rLpCbvH%@aJB3+>e&D@tM|2rEh?aDtVodI1p` z0D>OJ`%^JC@CBa#*I}PmoOEK(EU@5ame^{cXLTc z`CsAlkgoyZC!iRT?CaPj8~xqc%os)i`{mcftv#11>Izf89g zOXk~hs4aYe{DH4*cyS!ZTO2}fP^Dx3d$)=A?t@l#IDEy6=6A$EI>il@0*#_Jn`3ud6W6i-g)z6a!QF%dw(^(l$msFpc?68+ z*%j-e*<89t=gE`kgI#CO-E#gJI9gkr``sjF`+TH_q8#_z@bGqZ#YM<3E7R5woQiWr zyyicm?yNiK$;1cCl;oeN*nts{*JzJ@SsoD^U{XvR>I-4Vn&4iODPI=$xsX4Re5NAw z@)6FEj=dz3x02sRSMigKL7#1n;2)fbgPzq5;`s{_)$C9kKM)0!3vrgTn?TgoJ7Sl{)xmd_~;2Lmtp`rZMmZmpSB_2e5U$J7%dX10LfQql}xzUGl!a)8G78}%tD zmxE{gDDU$YlhG2mKOvCLgM>@w@5>eCv!Bsk$8!zVE;RjOzKqyK2u4`~FNLZ{cJd+_ z8Z+f17{ZNZX?-X~5U#nusXaQn@|#92+Oj;&@H^|x7adMR5~0H6MC<&i@@!x46)mxJ zNa^K92t{mdATPbFwc3c(E0E*Mm(i8|wSyo zsvCSHae*&8^o)Aib*_@sr96&Uu{P4bZi?@o&eVP={_wXZpW67jsywyeRQ~YRa4QoZ zoq%0qf4;1Or=J#m-g{sh^xCoFImKr2q*1%?6w7xheVRcVfcPQb_ zeM|fz9bdE6k0aI(i%SbT?YOQz&R`bVrAd7n$8xC*vS*QKRwv|E4&atwe=lVl9@Y2T775B5_-#+!+Ya3Pu5QcMeEzw#`Zn3EXhUOq z{&f#dp_F?YPDQWy29GK4E#yk6kntC7X%h+UJ^_=V_pd7UrF{CG+2Gt#a`?&S-2RD)?8i~MfUvnsD$kQ9+jy|<~>TiP>Wiy@+cNLW$n5Fi!0{QhNKReiq&F~>kj?F%=7YnL7ZY5){oXk2d!+EBEV%XX=zRKj$w9PpxbM#%( zuSL~=HT3&BK&~_U+fgK_;N|}E4N!Sui`XE;v8#*ANALdd;nilDo>@Y|pgi1u6Nl+} z5wm(R>XX(vOwa6cFSC zPV}K9W+RstgN5;jb`iGGhdx%vE~9E1BPk1dCLbGzE3qniJ7md8f6gS$4Kgi*_P3PB zXD+yB*$>K@?!V9?D+!Ca)3xn)9k1FwL2CfvntYL_;J!~R!L&L~ZmDMLLeWIYT;Yzl z2`t)+%!T1|ain6GAq>IxkAjj;XwYubZt9EPB*9Y?TvvEGG=#b3PLfxdy=?W|puHx3 zM9<|eW;`>Zvfn?}(z9o{dB0aH3iGmTxS)>ggo*o<_3cQS9`$t5uA@IcA=^%#)6bn5pz{#831o z%xf_PrK30%oX@I71)bgPwI@^e7>~4zUq9aL`&j?XUZ(MZA!U){tZ711BDEz0i;Ah9 zJ5n8JKz;3?EaCA?$8VgIc-9}TtpOfy)VL*Y`d!|Y7$M}KT`$VUZ1e9fp^Jz;`=Cs7 z=t=ni99W|<4At3`jd>Ylog%aB^_4{{CqHb#u{@BwYvH|~4Q5N-x0hHIO}}M6piuk?&9WeMAf=+q>%dFGc?8g10Iu&{8*z;?Pe{=!IZ-ts%6 ze0YMibkD{9fOZ_hD@iLav1|UQ4rJfTojRefhN{+tZ3f_Z;C!--LH zQn66*`B)xUeNn=D{^u^_lwnJMAM5Hk>fw7VhN@lMt5$A1^-*uQ?|YF^Weuy>)T8(E zFD(zsicK)|6Mef2Z+s@*_|RM)-%A|G9qo-MnpV;C*!sI5$k`LBGbKm1lWu@Kh?Y8f z&Fe?cwx%aqjr&J;wum+2=QOJcEUOZmoE^BP?T~(dMs3R5u{dJqmvn0z_yOyzy^x;p zoPjGjteJVbP7vr)v_Z34eDVW-|J*gx_J$+bS0&r%31{bx`cYz$@?SDM(rM1JPYNk1 zgn?ni_i1|h1XZNk2%}Djk|<0g=#?)3EeZ`9`sLX}JXokhr~2GG+sNHhRG88H7GiTk z{2f)->mD;&0tpiR_sf)nt%G{DppQE5{!o|XJ&1g#d>Eael#>zOz@jRj94kiNd)gpN z-t`QXIq6$Sj!cO6Tap!5fU@707dJic*+PzwtW)a3*)8TT)J|kzG33EIaXUuMXx~S< zN6igAbp{`YBwFZqPv{czP6#$DJV?X@O_72MEpeJ}FgY1hAD0#b5D}X<;R3NwFOq#q ztp0J*&JZJPvz910kU=_3d|oCv`e4pW>ma_Dq~LCd_(x+o8kI(v2~N)!b0f! zJWu4L1QWXM@-tb8KC|WchGUbrj!O+yeY|6f`uRNT@$JdwhXV7ryhRb%1)>G9L+e`s zT(S}MYMGpt8SN`=0ce`Hgi$~* z?BR(3D0%ykcmq+YJTzB2<~<6_!CLGNh`Tj|^g=(Z-cUcg>BPjn;1FG7)3V}E+Y;6o z?<^5Gndm)h8}Yt`(!Hzh=d2~ed%)}i@CQmuN>{AEU?mdZNseP*kZ1ntHqs|%ORetJ z*wT^b?dZ5BD)KWGMv4tgi5ponZ|Bp@K~sJ>&4L2dyT19k4qjn(vjS6D%y^@8(is$% zak%9HDzmlUQ$?IOMLxEdoODd@Ck-1uqyJ}N$uE2~LoYmg){E@=zTbQE|0i?>2I&^6 z0prTB(J`$7=EHq5%^HHBB9?d0B-Vc~I1WsG6b-wz-i_r^SuVdBDtHD@ur`2fpy4BK zwRda2!S4Jmk_MA+P#8K*(acw5Wclh3L}%eH7FCE5-L&Mnu{uyr(v!X3`qISG@)Yn{ zgx}{%af;^}7!mEk!eV$@mRv;y?G&d12Emo%cDyCDUj^aShWcoUi_LGo)sCib?d{oI zs7_6-T4mDf?_OPK*CBWI>1kL&%@#?R291VSUsJU7{5sn1G^d0Ynv~&eV&Qu_@Lv;n z+h8?Qwv^Dk8|qat&K(7q7)6WUo)1J?T8t9?%T8sm9Ngbym7*;draKbY14FsP8G3{( zWNEDh+o^*$UEK%myl?9Y`X};o@T19`ACJHDYMXbr-@aCz$?Vr&Wv3>GNIF?W_|C(N z8FM6Go!7**zRHR>L$RN19d8gXYnTX}!+Ao7M^hcRtb+MN4SflRCEbo`-z9z9;MCUx z)NntSSdaRSU~1%_hLNbXN1a3kB}g~XU5PRq+{~1hhnwbC)Kv35WR z-D0++)iz3ewyUx4YeQg~ucZ6D8$6tXJKTln49d;)BOfV&Yc4l2k8TC$Kidp~pcb!! zzN-hpXiyL&x9ulyLkqm0Cw=uvF{_M?b*u*1dvieY?^x>>vKP2-vrwlzZi@8p3%lKlAQEWD zbg_bBDGy?A%|WV8dGLx+)R?buR~0)wtwZF*CK>OjhMY%j94!f zq%(^e%=nFU)Jj8eFP+;8z}GUDov?6ocnBe3kvv#xqxou{*jYMS zP)FE$QggoR)E#YG(hzEkkhh*yV9b@y@T?f}Kc8;+?su`gVrq9nt#%?f;oe`p#ha%^ z3kvs@!_vEBe+2)~SV%dM=sT1@VNe7YmMQSoFB#5Q_L2JiiG;&Nz_^&-?{7kywvqde z?<+q)RA<*r)KxExD%?8t5e5`-e(~uRkbLaP<#^6$PU_D|2?npZD#qM44t#>z)}s4J zpb)>gJLwr0H8^H(2T~mGzvLkDX_y8hSU6&U@V8KbC=|;IUeo}A<`=PE1@jqR8We-h zwrg87Bi3zEVG)Zkatc02i>B8Pe8u6D2Ra_k|Hyk$pF4J84}obz!j1^wZf7!Q`a8U} z1u>KaR}a_MdEq=vn^OLM*Eeb8V4SOu9eqtvhM1~v@&g#x+w6!S8L?Qg@?!vTTRE8^ z8lEBl4gRGtwy$Z6Ep;@1begs5QuqAcuSWgq;u}$RUz9&F*GkRi2*bH)+s%(R=G603 zDZ2U10-}BjYlaFBSfh`44*Gu3DL>9yym#{vvGd^YEX%S%w;$bj0&%x{jQK^bA}r+6 z7NOr^`VYk8>H2FZ*r&H&GKOFH{aYow1$lIgM(tWtRQ9TySi{xm6HJb8qBHy^KwV-TMJJI;d>o?eVDJ`qSV zu*UgQ688{0jy!Fn;?C`LvHWx3?T!s<`$ePXhsd@9SNlw0ly2L|7A(0gyYABhqjOx| z$*N6jhqmkV+h?sO%h%QP?sGAXPr5mELMmkBgx^~^TSAdyU)~q2wllVda!X~MghVYx zD{Efq1a`O}?VE{?t!aq%1rUqX1oPAR!dOFrW?b%!%NWU`Oe&$v!i*;AgijV1aXNR!XnJ;PXq0My zvMlws&ap4I$C<*isWB(%tM{k3)Rf;1F1qzo7aKSee>q+F_)tPLgbm@O{dk~sh~B~q z7K}!pP@m>tQ2m|E>!CkZJKgz|=P;OrTLL^;X~GA={AgCj;h~3Tk73Bm%%)-p>?>&| zW_xBMh%(9$9untYi~0g?^xDTGOkMBr2-C{6iI5eH-Bl?Evhpe<9clS>oX^Hd;}Yx5URkXY0A17A{Md`qz;J5g!|_?XfLiq z)tQI0vFDR{pFMtD*Xt%dID5a#2MbOgIbt0*5U~)FhxRR;XSo zTm@pG&6%X`npzn(+)^;rqwV5SFT0E_I9L`K-X=C>Kii*);Q@!_w_*}d0=Jhre+g?F zsWcqydJ9b~04oMres=+)=$03I_e$)`}$j+$QiwEMc6%$}ZpOA49awe%65bQ_cg&@wX&6TR()}LFl>12ZY&q7uKXo1&wd0 z>$vfnlD4Cx(ZC?T?|7`7D)yGQC*pQEf!HN^yIOMthw9Z_$077DE^n`kz0<~7YpnMg zy#J!)3ci|b^^Z!w))iB&)TtY7x&+?uQ6Fn?e@}@tk*V)|#xLq6)V(o)<8(~uGaX-$ zy#7;?5}ruV!i0p5Z!207o6XUZ@XT0>#_fJSty{|Y1?4zvnZ9A;FwYP!6M*-v<4BdV zNcxfZHd*;8DC4=!7>=F&D;Of#xSOZ)h^8h--3rKJ*?-WU{!$P>diQJ#Q@=?)fA;4+ z`o|=OpH#<%KmJY4qzf0LG*&x3{g`K|v^;P{y2QkhgDP zjd4@S!Lx76Jp2d2W?ykOd&vcIM}Z`Vl;Hw?cL3Y>4mQv^WNKqu?AB8RK1NGR@(SU= z-laB^;?Kfp?;8T)d#UW&NNxSp2u(LG77sr=$zEG9`pxV*#Ja< z%OBoDxT!;Q0QDGq{xGo?iqycHn{SrfabQkXt zWrSkB_ka&msQTPTNIMw%^A!mmgB-lf`Sc-l^NfFHG>;vqNhE_4^1E!_^bByrEib}II$e*JHvMop@f;Z z#ud%Wdi_$NG#4}(plG=KHAS%N$M?TA6ZWJ|`GD3P2=Lx@fufD!vIYxvXx;U?N-vq*SuebNlB*W^qsCsjTd_!7rp24Xc7WnLZ+Ji?xm?Gs2490TuL-DUXk-Y>cE z;^Atib-?#bO(7A~`@#uZJGY9Ywbo_ctW(b)0-BnogjNbSO1yFL)O(hqT5O_k+wFib zxBFL{YDh(!FMZ1yxgc_4bl3ON`t1$@Eq?bcTKZ*PPl-7EbLG^_Vk~Sl`4(2{x;$)8 z=SE~RY1fDNzHg;gA1c4~HD<^SJv;*)MReV*(_gtqL7Bw6ten3jp-dBEmN2x4%k$l+ zOMI44nMATksDwzuWHttOv~b1x93Lp<8knpp*zqY&iY*1&P^-|H<3=K{7jIm?hcoNQnZ@sSm2!(?@dwlTd?d6MnX;CZD zsnWl*0$bZ6jGU!Q+pPr))Y`78dlcd*m4Vtb98YlcorcMmp%1+Dz+bxGb$|<8OP>pO z<}V06@fqvQB><%_yFru`r(q7B>R5S|`*yP5f58c!g3OBKD7_m(*Pw94)+5**k2wYH zEP345l5Zi(q=`Y=UAfV!kJ?awffoHw`5UODy0{!^>9Qi*tZE9J7cO?yHY~4*7Qht3 zt_m6Q=ZJmtS`NAuK&>)wPc4(jix8h>p`d;D-~18gp8_X7Jw#YY@Pul8;aNr^YGn~( zq%}HLUI2a|j8U`%=km+w0@NdIhV-UAR!kF}A&5=OMlaKP-?+S(mpuTjlP=Q7BibD& zV7FHIv-0I}5|2OJZri`I%m<|S_i@}^X|?`s=fBUUOI>KqVit=GZ~_*wC@faDvCEpQGK!?ZG1Q~;$jhYBZmPcgXw!?IqhVH1D# zXv6nHknkzTz~yAFv?OK8WQ0nJ+f{Mm1 z{90)^V0YgqP%0I<`K#`&6&=UXyTEN|oX~Q$%#^3S_{Bjy_DxA32YIHZcTpo}L0i$= zSFIU=y(P%O3mi@}wgK*%V|=1vi)1|V-j%Pofsn~r;yjziI6QFBoL+gHT_)r^?a17F z$76J7+LU^V&&>TYm4B+Ku4eMf8F;i(>>LX9_jmamC41i+;fQ)Q%7*Fhi*G=X&VECt z`)!2qs++BHvpL>p{M6Vtog^nVC~COQ#0JqQ+lBxm=4|Su7-l2@c{R^CnmQ&~8kv|D z*mgM?rCvx&gP{tr(<(N3C3qY2zPVwWIfa`CK=xglU^(;P~-0vfa(unM?ChK zt|#C{WF?dSYIl~pP3K~Li#BGCPhBb(Qh(TS^?dU|u{orl=4j6)yUUj@HU6wB81CP? zX8U(LMZwXn8iTo47}ihh8zx1z*QNag(%O-%3K&qDlLMETSW~jUB0>AIhr-c6-z(ep zhU*>mdr{dJFpalarxF$1Uhl0VQ!&|Y^3d-LY;9p4o{+`eD+A z$nZY#*zaZg0qRz>C2gcTqb1N_Pf`7`q(}Cm!cU5R+{LU584pYr**HT#&?g6A>bdA8 z%;wF+d-WY3r@tr;J=~4z|9(kHaj|L*(jPO$E~OCm6ibTgVwag&9t~!wFHJ%EStO{cmXPyqv3W&f7CBU(W()O#`6j4>}FI zY7P}!-1OZwg!q^<5JBh!Pf9}tAMoA5)X?`CpumV*7b{s)x(ZbD; z+{M%iQ?SVql1LRX%mFs)@KR(i?dpw9HIORG>l}hZl)|aoCd28utxsets@zE`t=SHu zjP$^&)K4iFbZV71d>_bvh;|UyIH=qCLj!6e$PCUFTpA80sVMq)$;eh@O%se@D7?m< zByq@ka0BtM#|@gyPOq9X*YF9=U=g4DBTXJM2|~j?qXKFT^cQyM{z*Um!;_Z!z9zY& z8Ret#tjXsDsqG&c0)sqaKbYoaj~2*vQkHgb(`zmdJ^M0loA;UQKN^X?mLfa!CH%(Q|lk>Jl|{4XYR`8#c| z=xi{c>7UHzK`8T2#3cT+&3uo4h!!nW%|W`6EYyzttCY{AlJC}-m6;wM>5W2#|)~&QoqiUdahG^=P4Q>>c{_qLN zTxuAS$3#^id+|wPmdZd)5Sld8+J}`%e=y1d2_9l354K!|v)FNe4l#cyZHFWmx>AOq ztMFdH#Vp9Dm`THvDbbgi1Nh?M4FBCuB!u>Kka%z=GZ@YkmL`!FQ=r}gX*)UEGZbft1xbKCas`k+Nyy6SM{cM|pWlP?>_QndP zbE<8Z)YkG8!GeR-n7wy--|p0RM2E#n~Gsoh>NG#8v*pmfYduBx(rh zyh7J?5bRk;<5a%T;9$@lM8nf2!**!Xe-~$l=gqB( zB(Bgf%Of!?&(~~7sy^Fq4Rtv%b*5J5=G-*_g%{B`xU#zWi0CvSp}#38ZAT+x;vO)J zhq}$L&(-F(Gaau9hp0s~{}0knuc>KlJ81a1*P#${?G#L}DcHlbborebT&Dy1BMcZ| zhTiDx(uteDhs!)z z)mHC$1wgPk*|KUssTb(6ZLTGkW8zygxLcjMu z&=(DWb=x}TLfQQJU9rMrmZ^e6v4Jxht@{3ThguZzc}t1*yAXjgw!L_A zSFGIf_d1iUqvQvmr^DDzuOOjLHbg1T!UD2Vj48GYZ#}tLSUBM!k+#^Ukdymrwg|(T z=zQs36XDWx*(|2@2?k*}49_yE2(BTGlk#sS;jP6QENW|QZ+4g%b?NtiL z&jgaMckL~teZB_BU~-&EK;h^yq8w50E~d7ScK5_38{6+ zzk%DU%I;EMSlM2m!J`H?IznA|v&!|i{N4+BMLi3R?p8B_`E1Z2!)p7B*2e`60)}vK zL9uJJibhJNkC!Gpix(*7exhb!gQ-XFOU$Yt>XMjg`IK&WMoQo5bdu1_t)yd0h9@%^ z*(vb}?J>3Kj_SENZc`p1jJxWEx?n2Ii37VviG_>_p1J2RQBGtapvdw5&uU7(CH>|;}D~izS+7^o7MrBbXe-U5zTgwQ0))d2685& zv9kV<-K-s#zG>5fb@Gw~;H?}S>4moqK8-^yj9zO7)B^J~A~bfAtYiRZPvj2GkyUN* z)gYGn`|Vy;CwaBB5DLL1(WNyIV8PraNeR(vY_I*xV0op0&{{O5CvSdTNhiJ?V9Dmv zjs;9v+^+2Dciya#6N@81S!utLYvxYYc>`^fgz1S9@y7*S@KSJ>{oH~q9!QDQGkSPk>1b$#!r_55EszQ(mWgRVs0x=il!T!ijA{=n>*l{60k{&$B=OdKtGGt{1w@()NT>2XiIAk!MZCKqK>1lK{ z(NVWV-zcCZ07A=XXEsD7?CQM#R>u~%q`>7BbZP7TUI*D# zA_x9m;5|Civ>a-+=alJqoGNF&Vz6jID|w}+hqKSPa0wbxw3o%oh=wO^K*xIFoXq$LMl!z35=sRC zWYDw%8L<6Id$~Y;HhE_iACO@C&EYv6r?U|v{r}bKe&av5@0!Dv+Ey?Y^6CiCf7-$s zWPB3EV?;DCI=oX~BH^Sj6y!Mnv_7$*p(LNs#bec$br50cSzelJ(tX_zm$w+*J@YZj z67yCJCDrZzLnE8*vAlfk%{{?^n;$vj3PZ?CE`N(*bN z&VNwhyv(hwiaA|~Aj87nE`@sYDM* z^Gqf^oB}nk^O!|Awua}0yunLOC4^5eEM8G;Y7l1#3D_-yKa7~f>`l%*Y?c5G!!+8~ znKzckZ{wqUs7XBzYzxNpCi9_Ybnb}p`iG#EnGWXyzW83TSSqxp1nL z8^X}LTigADKJm|4+EGM?gJKex?OOTDm{Pic>*cm^kwyjD?T5~T;X#{XG30kJsJ-!P#Qv*`17`n#0oEIwna89Od2YpsUSy-n zV^$m>wRMEEGkxYqv4h)rvygGb2$Xuz72{SNc~HAlQLU*15Euc*@)i*3zxnovo<3YC z!ku_+?5-*1Gx^deX##=wti(1H`e`hGYTAL%H=Gotw9QJ!rlA1 z>h=T(O$on;*jHV2H>79}G@6X7J!a~;c~l}0VwtjQ5T(z7yTZ2Wn!ql%G>YWxc?sao zlC)j%Eu3+YflG{XFv^$k5^8H0q=IJJUdYK`Tt;5_LX^(`#M37KWTOq0d~NFf^Pck| z0+XhdzSCf2d1anbfw1p5Z=NzA%?_P)0C*7?28q+_q!{{cgL;?W_LC8oKOR=Mgxdb8(A$rM8N87}UUTx%(I6=L7zKu#4r> z%%eap3=QEn1YL6C+SX2?a_Z6of1nLLr(S!THyc%nb~QxtfqQttTMwyL-S~FULP2oc zRm`PX2yK`Wh1Yz;lt7*5sxvMnaa2r(A2iVsHEV^1L#pmyZRs1sA2h$RHQc$OdAeYm4zB>t80%7@42N+vXm{NI%B>9RN@R2SrCy%8inc^@{O>Q@oGula>=M_{od)Rug{AaT@6ajy9%+lvxePAPmL{V;kuWWIYo<3DOOO*I%8N z+Hj%&t43AQao&B;nnhq0U6@hqOE9-H>$m!cab`lVc9$Xmo?(Q5^8Wp1-7mkvHT5iJ z_Pn%*;^3;UgTXNZ9u0}pY4Kg%1A8)AUkK0VZBC`aCdD~m@7GKFn)*sMqaC+jEt&dY z*+8y6vsjjYxzr}ad+>^JvOOQiS3w~ zB)}uD__39?mVt@@IiXCG`nHtssE>8IF5?~9>|jay-X{R1zcPYq^_HugWW7zltY3cs zziE}i0llX)k4iw@(!?By*@(;R5&RZLjYP(GizplzKXiWn_a?Cs)2#u4rw18_PUO46 zzYBK5bgp@b(kR2w=Tu9RrtUL&s514*CYsLxOts?Srmt;+hT#IbY|_jI7+Z4`KNpO7 z%{M<2q=WDhjIe++$QD7L#Z87NB@+l4I zE8DleOvqo;eg5RtfA<k#o4 zNKf>qk}MDVXo*Q|RrmTjdNV-^=;XZaxhpOGPSFA$&%4>{CnG~Ve%#4hrLe{!ydi$! z)>SrnmK<|EH0~*hc@NqqzEX&jCa!uhsN)had4Ou44k_h~==J-hG?{^*Hcj>LFv4-u z#eDy$N1(%^e$Vf{OP>Wbp1j;5cF28C^6EVicB5W*gR$Ry>n?V?M~{9qAA|j~U2G0p za-XWPF(LAoyX&!mCy+N?UvEJBOz22VWh7!W1G+60)>bsD>U|+yn)rYT9G-dxHdLcP zPYPIN5T{qkMG+IRA11c%*y3Mxw))WVlhmut%wD2Y?zqiI@>pWt(NhpN6$jY7xKl zKWRv}*&=&M_Qn41xxIcIF0W|%X?Lw=TTq1a)~SMxnGUb?Qg^U!fTxEgtvMn`-m3#4 zu)7p9B>goMs^iE$r)xWpYIbS)Zt}3bI&Y?HQU&1YLWYP9$^^3u;V>$K_>w4KPS;bX zehq(8G!4P5RrqHiT8Yo7Nu~h_?Ol&O%v`sJ8;7_wDjZ_r!{?PY#mPK+Caoqo3czZa zon7p|v-N9L;BF(k9p)|F&oiP5kfK>a{y7xGQvS~pM7!m5xxOPYKVfCcS&8JUy`CDmK^nJhEg7dekZ5c zD3hNf{SML>%qi;Xv>_9Ky*Dv#7_W}NyMe!*A(s2{(0LGWbvK^tFoY=_AUr`X?LRzN z?0CK4iiH_t3XV2RpTQp_8mSyI*U>Jo`SvL&?&k%Cx{~*90S&&O`R7DO^j9yVwaGdG z%=2}LzAlo+1Y%$LDFm1qF(JhtH%)Auj|o{Pu{9sL!PR5CZ{k?YyN9x8utSwyH?%g2Te{SJg1@N{v#th}W zb6)Cn=MP;OU5XIYd?+FNn5?J+Lq0qnSYQw>_O z(_+vwzkAZRXyC~8>oOPLv}VK|XJe6Zzlerfx3`8MRt08I)c-o3o3xrI&5(Ny;5pL(H#Of3wgoclTxw&%~*0m?1^L+Q069c@) zw4`;!l!uv)MkIrQH`>_b;2oxu zcnj+@F5>e>srT8hC)d?QA3mBAWjRQ1@pQF2KI>C zz~7})JNPN}r24R^iZ2wdMv-7a)JyTrXEB;;5lih*Zr}{K6PtIscRU1y zpI1@U^dXb%*iwp2d?ZRG{mG&}B(pOU6=; z!n}*s{1%%lsy=|eI*%p4&=$@FY0r0heD*v3JxydaR{)AZ1=w3qYYPQ=5qY)^ zsbU2WWR&t+`G#sY+$Zo+Ei&sCxO0HRhTt_LIiCQRy)8^8l`2*|Ja-IpXMwqIyD+Di zFOx|2St;gelkyVeT>y5ltS8GO6kHs^%@Jiaqd566L;jr_IL2Mx6Q?dO4b;l5h&^jSvZU|#n{RhU;-oj+b040VR@k4a^;ul-nf|BeS=J#19XUkS{E@iQoG)n)A zVe!W(Y(L-R1NP-+Jhce=Z9mH|V%dI$Pk6E=Ec=#-LA?f?Ti(h?Du??%YVRSymx-A$ z9{137P@Ef2GHHWy~rzn8wb>mh6nv3w_W3x`)r1y2x!>} zMECdN&?W^i`->ne!B*l5sMN-Z9XkKgcr$old?rvE?wE|k)plq*G- zD=N8HDUz#@+((k+3e7dMq*A$xq7o{(Vy@iRlvol%wis597K_DVnAz{O?fu^8`}_U= zd)nT6zhB4m^?E-akLTm{1Q?xMO3ERHFLE4$p&R3r>vFF9m0dw1sMA&XdSsd1{O_FE zO^Cv4@8&v6K5z&YGUM5f?@2jn`$M7+^t}ADjI@dSyu9zw^K_TS5|g0%8Eo|Zl!!a0 zT{QDVC+9_vakc6|m0Dm#hgGRd9ptskhS{i=t9E!aJ$CnA{Q8oB@OGU-#2Va-d%o{F zZCI@cvQ*?eI4L)euX3MOQX7C1I`iW@qaip?Z&HOuWR5B7#YwAzvMACl8cS91N)ktQ zQ;=TxRE1OTtMg&#gZIin-R<_K`0rAA? zvMaHGz~&VmbUN+IcYtpYWlMQ@^5B0C;2X{3k)`)#PoT_-|M7ph^S@t)bAQQ^f<8J4 z*DH)?GlX|1B7j;5(8THT6Hqn3wy`>~hY?V9NL2)wXprClg(9o9xP>A=4Zil&y{ZMV zFI7L{dAxqmMT`G7Fnh00Ajs!xaqY`LarQDmDke}vK&3Wb={x&{0iJUPubcZL-~RNsx9rTUWu zybby}Lg|yb#JmcK+|wn-lyfuIvyU&O`?5sgQf-vb9>^DjlI@_vfuQ_gw42?F5G!tq zO{s=^oCHwU>17vgz|1wBwTizV7zsmLV33~qT`IN;xmR94&aDdQD5fB z)GK)(i|wff2UQyOZSjCY|Izk{!@60N(r2IlE~(*O689Frh<4Tsgw*mn$%l?<5U-ko>aT1E zk%158r-KB>jF9gyWD0$62b|^?mK|aMD4KYqxd{oCeC#ee9`WClER^x5LGga3XX?J(iJ->(l0rGM%^&r^6J=`XB0Suno5db4l;@V1d~?61S=Z#M;g-0o8FWLR(AjN@u2mkTTfD>C~< z9=4uXw0-W8!Xc2$tYFCCued0MTt72fUHlYe{8u?eMhikj-FgT}9p4=3ORTAq5ls+c zs&1a;=w=g6wh-6W%ZP&T6{PMEX18};bq|l<_$BIT-9CYaR*3?<^#`xHTlzzr1DN&6 z>zs{Fe6M-&4li7k8j*kXxOunw=oG-XchR}@>{0=M5=kV+HJG%_9(*u3v@W0}wtFr) z0Q)6L*wrv#*jRP+>#jk=-?F=;98Z)dT9mPn%* z4X&QJt6DmR*zljASdEJgLX~?ju3Xy^8K5+QI$!nS?nid4ZvE+%hg()~NH?cr8?&!C zYcWudolU>5o0eS`DVtkG)2Uy3?aeHvv*u4?1W2s``e2MpAAGtew6!Jv*`#2&M08}b z<~Qtyn4v=p5^>9}Y~J)Swmb3=KIc#znsuk5;<3o*ZNl9yM=g>cmf#<*4L@>M)#-fI z%cNI#Cp}e)#$G0Rg^A@4Jby0p>9e4$Vsp~1h&v;7Yjaq4G6l8R@6Ip(6{lM?N=?+@yTuQ49wi=?ab8H1<$|2^x32yA#pQi}YD8>KzZMPnfaxDU z-;$Y(i{Br|G+GC?z(WEEfVGBSdXhUFX`#rT4jxfRT~q%Qu*qBolHz$mebt>GLXF=Q zhrDKQHM46iX-36GuU?`RRBi(QIrr^(VUH3@;^N8TaOo;17aP{u{^v$@Cl?cPToR9p zr}T>j05k!l8-Qg@iQMODdh<=i9~|PS;*`h7Fxz1yoj(={>`t zL;hnw&aXLSC^0GhahJ&?#aT#Qy^kUCYe^?YXIuOi-Q@YDf1Au*es4c~Ybs#4Q_z~Q z>_XpnP)kSQ-Ak*fA9dfDLPRmw0~$$gbvUOrDuxpJN+y$ZpL)Ah1SF$oUEF=0n^_N4 z&|4#eZk+S|=SYqbcq+S|;X82aNL6~p#pP-V^6%Q|j2$?s(SDrK`s?X~v#6)Wjcx;R zA=|)(dy@Aust1luuRU-;O0#F0H861VU}L#Az4}1D1S_<$@2YgXdc(+fnoKmtY}S0q z$23x9vfJ{;0Bud;io}l-65}^(36d`IewAdm$K^inS^yuYJme}k-Fp=3_7<=++B zvjL9VBMhg1xY?0>1q`guw%f+#3Uh9DBBC@EFX`;C#xg>$W%k*4F=2PnqjiV;J^Y=N zd#fZ?B#yifz*56Xw&oVEYqD*(=c)Ake z&kNRsi9ikAy*E~+pIzZ4JEN)WAYI9JyhN%`qM5iDRGQHkKZs>NN5j|N5cZM{q$|d% zBt?zavR7Ag$6a=f)RA|WZ@S5y6Id@db9lgsB)y`0Dp0Hnct?~v80<>S!YU7cL`UK> zs{6K~eRlf~;K^-imy8pH3JnHG;t|V}5@teeB~^MJguj2O-S-9j&!3WY_lBD9PP`x> zw>*{LdQi9zU3;zZ=15A&g6W``%Yj_R#M;0+*pDu<-2^lZ?XWcoS>q5Fzee(XcEU2D zC;h%@SzSpttiPedvc_IyA1q4xXVj&#L+XUBYC{RvK|+**$R06RRw3r zCpLl+H}tQVGRp(a=5&BK`uPQCuIWfAyK8n`E(dx)mn4}uD~=_v6Mi$HJ-Li}_NDMT zSyUCq`2cV+&bpymcn$<{T%a@@ziC~Lr34lE*=DO+T-xsBvLWg^^;E!!z9apZyZW^l zB@7mAf7SBw$D3X_rv>QUjHItuoPWNT5#Y1B=#f`?C^>wLruEIkhC-92Zkp_#6@Sch z_{zYmxtCkodME{|IDmM7bSzaTX`lOmX zyt93N;nVdX<3Xdi>*)op_E}Xwy`N?8$$InqfU3>(BvIqv($$Sac)u6vZsaU_;RtoH zK5U;;%%SXL>W`ib)}J4Xk6HQT!qrhvWoJ)zb%_nn0q~aPork)gYx$4bOYQwTWIz?L zeiBhx{Yiz^y?{24KX3qypm$G)o>tbI>ta=<7Z7I8ReH?iK6VtHD~lJkkve1$PrYNyD0eh_;(|C^hhwiRzVV~3+((-Iae27>%D2_W&Es9`aHS$D zhEn#lZe}m=h_i9;j2X%4GQ2f}#$c~w=676j2*S1gc=~ly*ugbL1*_gRbOsg}b%i-a zY>1FvGfYE@xGKoCT4pnu1TmxgcK-IeyeWP{))!Y?aNc!*ZcnrT+ml#JDKe!(cX|2d zC}zcl^L^Fn6$n?&aK^g{e5sfBiKt=5+3f|R3*Xe%a`qS5HG^e3u=^PFW>v2>PM|gr zXK0yqX^ah}eF^Is9($f47!{AmLW;l{pB&#N=0(YsZFsNb(LyZsBTcNb_LZ7aStCae zH7#4s+kH^IXBD#>WL1J4ajwaNmIprv=6Am>@~;%Y_jEc+A#b|LY#bGMfW-N_NLaYe zz4vE}czNW_SgtNdtsfD!P*sny?|Vx#+|?~%Va~NZu?)%OdS@R9DKnoql5VXxYVrG0 zrm(`(5O?|9%Yn8GDT^8H<3qit%}&uP1%s_uN`C!ey=q%J-qDnOJDj^5y!#pGK8lC( z3i10*^kONp#^pTV>1MB{t=`srqOW*FXS959P0pj^`eN~fbwVZQ)d0@rVI(Q@0|YkI2+B6fE2K<*S#3PK!4s z1X9+HvjqyQ2aV4eXfmNEWzUkiOi9Re#ev`liTHra^bueBzpa?5N@T_Y)%KSwed!+V z8}|`euepy{9L5OBA6y#pqw3E{(?b^Z5ADEwbQ(XUX11gjcFu1)IF8evm{&u}QWZXx zg#k_sP3vPr)uwOg1hU|+vpza$dr~WwXtJm7lr7B7yZ z?Mc~(N%75^i^gNM3UFbQy|NQ#m}coIqUNL4pe40XcHamN-b>}1F#99*%%l>N; z+>y;a?}zovyNh~DaZG++vWe)n8#GSswwXV5N@A>brot~g!86|JSPsq$^(>lUu$XBI zMu=@1u=S||XQvJl|D97w_!lksq|j}i7<_X29&Rglu-bWp1?HpZbW_W)MoGvp+r-{- zv1ynPJ5J6DV4BDs=8xHN3t8=hl78o<{cTh+6f0pb3CUA?4GC)R%>CrXwo6#m zI{JQ_&6Q5vK__nJ&Z2=TJd15_c(X|Cs8v872p@p`?O`g{-)g7WS-l51{&ttC*-=s$ ziQH2_J*DZ(@_w8)LKxQQ3ZVjzm93EKc+_r(N%^v`YIY78xsY6K*8PjM36r}8EDGH4 zDc};EFk;{?>R`c9*6S0aZg#Vv_&q#d`8n|VxqgN_1362`s)B(YCOkYUkKpC;Zud6c z@~H4&GWOnIt$s1%pSGadW%o&I;5d(pyoT{T^q^s=R!BF@(7)w z5`EcjSzkRV@J~6T9vO?z`+kiavK_XHy@vSZ#%dEi!rvY~-G;kYDGWDABUzQdFzZQ^X-rF`xtWyuajhuhb}Bd_+)+_?nYY;c^^Zxqoo1lDez zFa59pLA2uPIi{K-Ht+Vx@}zCMK|rY%aM79fGOT!3vjV&BIXR*f&gUGvN||1Y;_vFqEV#S+(iCFPfo&LVJ+6x@ zWpc)DvT})a_(=x%CpPfZi!{Z+Q=h2fIvApDphTX>>8a^0UOQ2+z*=}yr4uQgegU4i zBnx=r)Ux3># zGZMVuL=*4uo|**P&ppl??0PQjNQchzcJS#6mGlR=;Qs2L_3f@&t@u(%+2%Fng2KCNuOaa=VPv*$DI{dLk4-?f^YFkfdTTN5CPivZ%i4@^6|LgG(C zQkY31v)A(TVN~X2ElRcUwQV}54|>)y zLmaSq9|%7WC3sMEvqE-SUMhN`9ej|)SYNR6;5JHW4^q@x6Ck_stIAiJmbLD?h3bn* zzx?m<(Zp~G=Pni!5C|cts89Rsx{a(c2B<#zXfueLEQXz;bph|^4;*fv%a94kp|x{hPN-r@={n5^O7YsZWPt*tn5conAc z;)V#r5&{laFo3B2o}||4cAI&`u-w&_a@skek^|Jr=^(yzPA(ns1VljKiu_|6kj5)o z!p*4K0z5e25Km3OLG#6|G&s18Lk>(Vsk(X_X)4H3LU1i>a;^TY6&&rn5qRb*FBUc{1z*6#vHo+n>s^|K3QQCI-wiSY?eT%?sG) z`eLi^&Y9dYjwqF^xqK5TcW>=FIkMEno zDYzX9ay~77|M3$MBevNuQa)G>aa>1@61B|kej}@D-&wl~4aBPN_5Ml7`I_jT|1`#n zB~YmQ>iyYcPb>(imvQE;ip23DP%ed2>NmOU$CqAtz(wnMvi4XywWG zJeW^w(dY&}mFf?Vj!;QT2&f-iEy061e4zK^TnRdBl!o~DG`tNEZh+6g-R7`Lfw+>L z*)6Qa%?BIw{lk;SD(!Z}(ZlN`vE)lPnWgguBa4r#?0qL7|Eg;*D_~WqiHhH6KM>OE zb8D+OOquD;>~CAAlBLR}4*+=woS(7b@;rmXpH0@-VJwM3n+G()MIp1L#tC%L$41Q};yZY7WX5B3gcO z9;r-1%L_;F9-ln1@a8Chs{j@HEwaW#?`2*dAlB?V(rnwMykqMbQb_-D0tc?1DQ8uO zEl~O*p;njmw>7EkZHc4=RHbpZzc&QxLI_NpsTV~5Rf3$2o`aO<(Ou0tn5+OBW}|n` zdFxP&iY=Q!x7_jT-QdLE74inS!6LOj{GRniN?fF$HDA35zZ;N!w4Z`2z(P2ag+-+l z%2Qr(cT;>w={D5CZOq!(xKEMTjO;URhW5!GH`JvRJSUHdNr-3$W<6Y%cXHR~wX^;T zq?}qIJ3Jz^KXq}`*R*}3Jif|)dz<2GWntL|)WGTd?LY9vVM#N-yFcq_jej36T~btU zK=*B}>yI2IWUls-jZD>(eCXF}VN+PKbJN85b+Knh@+kgw`_%XJ0iI*8PPp^ysOYWh z8Sz7h+Qu>Q1mMPh!!t2KTWYtz4l?b~dbmuy6%q2x*S(1yZvk1ErRfQIzLi%&IfB-FhiGSeNPx8LYeI}YY1bUMb@&Yw45 zyoy?P=*{OMGh#~Q!J-?xEW{^7S z0;@cR%fbI&q#j;5v_*gaGuqgPXo#sxrVU==y-R8yQ$u=iw-oo@f8SlwhT^bxHnioq z(=G@6jN;b*4{Jx#F||II_xpgk4Rrw57$#627aISArS-(#_h4LTsQ}o^Wi<){oS%WU zn+GT%XRWM+W${6VM)lcP(jV0ZfBHGR>_hP11PArF&FrhJ=qPpC{?!Bwpfi94^))4* zcS9aMD)j;-43h?eS%;9H-k#^~(pIBMAZmqoE0f zjK(QvDyMmyX$;9Ti{;Xb9V$|7w{O;H#|B^X-UNrfb(^>m*m)LXF0wiV4p9kDU#Wvg z6HpL@RK7)d1>syt8f`3_4q7HM6Or7CbzT$ny4)EF6Il0-I)~D+8fLTfeOk z*je!7k|K?0$pD@B_tl$-NDfm#SSQO3{RS88YGU9pTIVn?@?-Z;)(i1*$Iig5-1xqQ zT+O$h2XSwTpCO{wf4=c=VHwWqzWv}hCRI;nZ|l81$?j-R${Ig+fTXmkc1C9R$O>nA z!aF>kQ&pL#_b7Ru0^AT`Fr%_ZJ?8TB5e!yWrR>4_-H&8FJn84{4IkzP>Bf~PM+)pI zSj!3Yu~lbaRwGcl1&aq*os`lKQpRR20@1P9eWzd}KE9=-e`e`xnwKo7>nW?Mlt zhqzikKvBj73czwB^%CwXn?|~&^H_Y8a?^+3tQiIS@fv_pjj#w)Z}bn6q$25qO3`Ar+2PY zfM?$?fV-}pQu7}5KKX7$fA|mwB_4jxM~Phu5K6>#r)^8xjJtAfzRH2k9{RJKAh$bN zZIT=l+!T9-J2SDFa9>kQuspJiT^S`axH3o!%p>&_z+I%r<4=PC*yYe>Z#DUZOI{q8 zHj77D{Vv7+N4Qv*!-(gj7mRog5cojSe)C+@kd;UfGN0)yfwMW|KvDeKIVkOniorIT2=T^wmNYn=1EajuSQ;yB5y_L@z`76;|TU=q|pduFq z&^l%ov$FK$)paWYo&1#aFaPPm)42YkA&^wSzT0kKzctD}>5I2j@=$Y^#Yo9zpN#6Q z$C5yDL@prZa%N@mzpYgY&qzlUnlhWPJ9-?FLv%%b!7c<`2|)WG{a%UAotxwsXtrxwG>J4GWk~B0{4H@;KRP|& zQp(mw@Z?t~!R~oa5vEkzdby1hVIWgWl3e+$fyg|+?_J68w*0OFCJDtGF0oc*odrxv2N_QpSRhC$(u`fTp>@Ix52li4!wX$q zhS1AluV6&M#p^LzASwDrD@cc?`*&jyK-`8wlf%B+r|xk-Z$Y!7#vXipD!VeqxH`Z| zy7$+f=G2k*c)vm1&<6lf{Zm=Ann$;-jTYph1OiF(l=Xk@xIwgPA?Y>r5=ZJ%EL?c7 zo@5^90GUjGFSjjEWd+%2?Q0y6SoWCu;%(6r@c!wmE?i5}S#RoWQ$ZS?`=8{JGr;}! z(ucN!RM8`2#3WsF`8T(uxkulN(~KNuJv_F1L@`SxWkZb_sptMnj`KiPif^Nio{IVd}Bn>B+9ieJWyy6R2K=%Bx|{sh{$pCP)f=A?x6 zHKkANr8S8Tm*oFTLv<=mBoqP=L|RicsQpc4jVwO2J@2IzH=Tm=8GR~Hb{9}d=-QdX z4$_7T#7CL&@4wCl?$mp`j_&vitK4>J?0A-1UzCk_F@f9s4MA!3BN+`EA^dQ8T zV3C8{c)*+$rnm_X28o-2an%N5h&^q78~4{?`SgF!+WiNQ z$%#xM?nHf(ZP84}2k!UUx}iUA^t+K=yUVNn-7}qg?wZvhIFEKU#wp`m0_=Q>0dnRfic0laP1<}Z>5kZ=6664FK@(eWv|} zZt}|f2pxV!tOz06?9*= zp-X~xa4r+s=F4#cWZLXoPR?KOe*v-U;ODo{S`K)YRmFpz;z9Gqt<}=P;w{TKN|o9d zZWhqOFefmR-*OOZVQZHo5kMYL*0DGpYON!Yy6RO?K@HjMy7BMTx=&Vdv%y8F-a1+E zeu1_dzX8G98lN)DJ3JgL%~ZvLd;Ay;-B(t@k&jRhF0eu_9nbursIC;RMz@I1Rap7D z^3l(Ft?%{=T?*)RU?G(aRskx^{W$g&z^vFHjVxwC;0n7a4!o_AAfW^HMDV7tF0C8Q zT*u)=yBC7u^+33ncG-(u9O=vyVDKOU9J0~nQGLdPzw7ciPlOAUl$TjG_?4X>9vE1h`3_j z=HFV|QS*_<$~h*F?cZ$IQtriY`ck-W7%5=wX;+->khBi73qcG)TQSkRG-BEZ9U7%l&dq#So^W*`tko30b24F7#R|$YsYPDZg4pO8~ogq7n{(vIEgsVrBuuI;AW)n9nliWy#n}b>`HEd--tTya^mJ=0E2~jGPSe z<^6DO*5?i!M*iicLS0zQ8$o-GXa0apZsC^PFq&`T;gf?XZG(ekCh6h*hYS!8e`YMH zdF&pk1E6`j4i}rUI)pYQ!MQY2{^Zi+iMLD99gIRVA*w!4AmAII26sZ=XFoTfMl886 z+yw>9K5@ZG^EtRb4|y!bWFBGG^P;0#L-pA=bbYpDr%Vo#6IJD~vydOZ3WGcZ;VN#W z)~Yf=PNEl?as_aFAmudpn{;{I9c&Z8^7>?bkNpaY;hlaH#FS=_=XJdFu>MlYk5_XU zJ3#6}*7vYB9BrCRor9xIOFdXzVlBcGmpFb#V=fm0Ao7d@M4FHDdXR`~yTxzzYM5qG z+jbHj?jyV;GZ^l>#`}2!5hve$Nf{8W0Q4b8^x+yDa#nO!hCbk%@|?@9po zP9XJvR(u5+EAHp8kCX6^JORh@DeHH`Jc0i0GcXL&kbz-PZ0AE5lkSS*!65Ri2h&vC zo$oMOr{GrIya%^x>n6BW=Xb-c8rFeY#ZINm{EcqH?!16Yt~Rde7P2PZv+t{9$BJ$G zenyZZrNag2L%PKQ!PxyUBo#jo&$)LLW|7Xvn}VZ9EB)RjEPpL;vL|EqOyVxIn7h3==?ClFq>3xAGLcGRNfL z;S*u-h7aspt|uX?sF+w&*T_#b-`@*A)zySQYbmhHh^WJTPVs*YuiPMh-{$xOzG^ch zy9iJ$3q{{_dV5L@{AZDOW~U#^DIyq;{Bc=6pH zY|Q2H^OnjJ@SGfq{?U$fk7tCC$uG+ZO)`%rK9XN4%Ul7w|EItq+V|v*?*KP`S<6p+ zVRJyadW_}s5nQpdN(GQ!9UN#O{YZZLuG!^HS88o+_Tb!~YmL6>v$tH>OsB{#9D z0I~#AR8`Zqr`#vN(B)TWN1-fZJ-UCq>I#(u;;GG^v8|hjNh< z@aQ@d%>uJDwA^hd0%3NQUATiCskZFElWqJJ-82{+dj7dAsZ@ge3bPyv56qA$Xt@o0 z?~^!iE$#;^quK5J_p?CqhUs8EoptXcttf7jPUr6?yw3h~ zxdruwSv*U@MDx-?>8;x8frzsYKy-3+aCG5nc}E#y#?DKE8~6vzA9Ll<^_)ddJN6~9 za0JS-wQ9DZ*tbid7_7R$V9bmq%0mT%ga92*>slgP1M8~P0q8VpsmIdmxdP+=O|HN3 z!53RXi6|%9EkgIjX$U4z!u$1tcqsr7()S|PLPzi;b6P!s4&n?B?Q$A75vK%hh|Y3`L+z#U;}k!$tdE# zerdXQSYSSs!Qpa#+3a@VXrO7f{9G{;2!!T{_8y1kHUF;^wu%yC$~q7UAo zhwIwm{Y>}gpU0JkVV|83HzTDltl_N!re-U#4%e`W8(-T6J)>6t+jkjCXgemmjd#Q) z*`5ZGsV%Mi50ZXb%uAB1U9bB>{Ufge`Ec2v?#^^Jd_(K(>V>oGc=uye`B3}QV|ZUl zGtiCqJ>Ifxz(0TH1ONmba=I50GCI8yn|9Wzt}4OPfs+e;Za(Abupw5cj3*Phe`MYT9?Y&p7g>ovmN znm61v#>~$wDB>s8KFL6^A;&~HWqC{#`a`R$pw;%j>+t?beYgjZN1+`H z31zs?JRcBe%s>0ALvw=iS7}7^YwUyNP{;f+Ap_}o3Oq-2nDj8MPY{CGl)`S-V0tg~ z6`K8`7&9iu-5ca+;jDNqq@D44PQ+c~n0*(EpxQ$ImcuOlM-+wJH=THtR42~c8p8YC z7K|COz7Ig%gWDX8qnjPL?+3(BIZh&i=g&e)k(z$QkzD9p#9$WH;TN24V;Z!vwmpX6 zEw#s%04EahVa6xdveh;AK(mLm86~fu7=>GK)nJ;m-M7wO$Co!V9&G(a7JX@b!}^nB53yRIAe6 zCOgV_)6`rSmQ@o_RQT}{gtn=5XlSQXHaHN#e{N6}hB3r{?u>oE$Jeh0Du3klv&i3P z_Ek7K!Eub{B{@g}O2t0mDP-w0GIWJO>8WH*PRu>C9M1BTt%NP40Bjud{RQhNHI=-Z^TeZD;d>&t z!B&|lY|U(kt)n}5mN>hx+uCnHP7`mb`sN4v-pD7v&u=39Au3&*#Fis9?Tiy_sd z<`eWFAowAu>H=q@JTJo*^$O2Aw&Y~=Zm9Y25N9YCp2Gv^eI3MXTopC-x)o3N&93MH zX)~_-VTm@7G!XmK1`5!zRK9hM?hv) zs}x40I-PJ_dsN>D3VR8XyhJ0oFq(fMx(m9HO*(`vD&z9ocKFf}E1)+90>nb3?N7XF z1BZ~BF*Wiz%9XSej`MG{y$pUL_8b3+$M{eDslZD=R7@mD@%^)mpM{*U=KDjZE$j~i za3aoEkqCPM8n)PK&TDx{zXs_n55bKx7udmOF2UB(%dmxX<3Hr69sCehFMMm0KG;g- zTP79!&-m5^-_qf`=|C;yoTvkK8nA<~D>R(AGuu~*8JK?{-o~9V&(4bwB%)5hUgP-} zwy4vvDfW2@+WIMc!*I$HAA5b^K z&GOs=Thwhl3$tj}SP27pWGpe_eYW(J?!QZW! z!y1uR_vaPwW;6U0pjS=Ev)S;~G7#Gk7_DsKi z3I=*B4%g})X?naBP@0~#B=_e9t!FWWvhV6#LVz+>UHZ@60g3>W=>tiy{!7(~D2l0- z<^>94&(?0eN(b-@#PP8;g8>cg86XsbM!&W6kB>xk6DQH)O$kce<_OLx z9tW|hLslQTKR)Nezpc6XGX->{T%ItG^9Pc)yk0oT$e=3zQiX+Y)n07aXl#Vy<&re^T@Uyk46?)Gpfn^>rUp8+ zEF`XUplO#PSk_L#9WCckrnF5 z^Ls$$vqnR#ART2o@><1Nj%*a1bL^+Pzh#j71PBS?EiWf$G$miu1PEDgzXx(>Kvf)6 z2S>bd$kKTz)KyFCs9b0gGPYqhz7yeow?bk*3H1&RcZtz-sW1swUcWtivvU!0*4)F< z1Ed?r&T0UiX$0pOGM0Gy4|JZ7QSURM{}7@a9Kh^+fyLC{3!=ZnM`QzPlrGh9;drTE zaz|-lH)HlIzbT0NefLzj2r7Z$!#pU=n>VGIP_w>t2?%7=NwqrDc>IGLE$~}sy|jYl zC(A{~%={2>ZBhPu;7c^hG)*0L;+cMuBASOp%O?Y>m0V#ir7k>ctUAV97y-rs5FvE! z2_#I4w1zn}n?eVS9SZjKF!p|f04k$8AEhV^Ax69QF5C@;GC+lZBwd~T#iFH=o}m_Z#n z3pbSvgympbynE<6I3JjwYSj@LkAaw`AXjF^c~9<703Q`)iYApdL&Oz!vRmThW{^+H z@0r9O`97`pWcmGTG__x4n%*}rxN-EZ@mR^hWxPbsoO<^A0?a>mv7?(^W0*&fdn%e8 zn+!Q8^QJ2%9bvXt)Csn9A#0d@lnI|y!VX`ABhd-I#o$}Zc`<3)BH7d#$UZn);tDHg z_#xrW@U64>Ry$-3v&)3!p$rAq0KN_OJm0e8TW);Imv4petw`7+TV3KcVR&g~v%Jp{ z?!h$dEBI?{9^WeCTR6Ve!nXh-;T`G34)84sY>|Jt!Vf`8^B*F>57IaAtsQ)858qPc zTgPnthUbrF3@%pXetKA=9by{=AHKn1vtW@@T^6h!6v+k=|8JS7;DaB{QVFO6h*u`u z6W_WBh=u5j2g5 z$h_O(@V5@O*lIfbxLb!Gcf&GB+zf($!xONDJPBK6di;m%>^c&UpwXzpR#i2TFTrB^)o*f$HpzU&I5t&1mD8&NR`zHa7fJa^{szGg3)0bqjY zc*x1a5zg|_3WASTOnP9ng0$kJ6-WMs@$iLgH9L7PMJ_Kz@K&tq5erWprIG2oe)M%O zr1QeaST=DLcFu_9gX^4nHS9sXUs)jZx;@wlyV4GJC=tH3oo~tTEqT5L@CoFC2)<>= zvjF@9_=E@l*tM0B?Bl98Hqs3J%hSA@3^^zFrYn@LHMO|Tm6&9f{fnubEw#GF%QKkv zB~JlKu+%5bJ!aHl7)f~kf-UNA*z%;p7K~9q1RV+E4EDr77{zix3h(qX7o?B{$Hkqt zKVd0&+eCq*Iksk{5D>R>Erqdk5XTado<4D3>LcZ^kb3Y{k51x|sH6Ixe~+#FhzPZMVG&zUyJ01yXsTpSK+Y*=mlo+Lph(T=>>izU2$7dhdQr@H4_Q zyLyp84|$Ka-UPc?WxfVkhaLhle#T|Cmhu7r zU6Y$cLfTfaETP~Xe?y6!XARNl==M>c=UX7)LFqUmO{(7y1^iCW+{V%yZ)bi~)F@zv z?g{CT{4=neAg~(*<0apQLAb+3xS0y1@-@8aK`A1iakE(5bO@F{RTsze$i0mENm3|u z)}+RVuF9nRjVycPq?%LX)moL-4odm#0_4bA+Oi)x^=-G(-5_g$5d&8$b!II9I#3P{xUY z+C_lR(V+zCjOXxuDK}W;r#w_z5tfzPZorl(x7K`^8=Nxh*84)ep;{BH$23Z`6g(5Z z&?(>_+e2Z#0^Ocprp8UHo>&4u`g19|&<#%eC40}J*ypjox5uajDBvCYZ@IpGpa;&I zGNeD@wimDF;Yp@7aR#+18iH$u7T;^P^CI7P6wBC7BWWpkOE^&V0Yxi?dX!#w?=%e3 zW+pvIK$8!&Qj=({WA0KX9VGlcT$NBdd?BL)wIsaIQSS_UkRx8I?a?fBUv2mU#DT7Z z@$*lOAiDrxA6{s!m$Qm>sWH^Em*TJPdvo~1L&Jm_bxMfCDoB+X;y}uBaL)L>OV!Y| z4nJ?^iF4A!+)DeYW6(S*wW40wYaO@3f`5F7j)2vJ@T!-Cu8!9RQZ*W?wZT9-(l)(- zK^$quWdgN)9khB`QYLT-l^P}dLfvlIr_O)=1I{e*2JZ#2ah!9cSOOdu(lM&jy&=y{ zLvb=&w#hRnjTk#B@`og+; z37+0=ZxG8EuQ5RESe6L3L-5_a<^UP^CnSv??PIA%LAywy#j{CI+nZ$BPoP}VFWNa` zc*`>C3Qp=J<(dO1XT>{pNcYEexkA3zj(i&hH^!}i%Fnw9wp(x;mND^yROJh9)4GDA zaAsavOSg2t1Ldo$yvn>__+*oP^sd#{6S4^e8$wNniOZ`76qX}`_9HB#c0B|IwH6+p z!zH)Du3gR~4nPAkSi!s)4-XELwN@5tr!d3x)-&}cy5yDy_I zTxU0jJGK*k{;q0G_snH$qU?tAVg1FRO+>8QA?!-mKV5+%2I8+|s(PT)?;d;s&ZC`h zBpFNK3vfQ(9U;(%*=dntuHGK5%9ob1P859du?XzF*XsZBZH$8V5B)DT!-verOb7LS zKE61*e$SK15%1sp51XM6_s;wN)&DZTb%J-PFaOdx_|m1CKl5S?2YgVotGzJm41vcfHB-U53UEn8311G81p*~%_nQqx*yVv!36Jswt!Hoo@E6*yfDhxKTRgT-ROuGfv<^n6 z_r-W&W;}aG^sBkykh{wLVWeyoy*5h`i_L{G)a9J1lYA8Ph`aM6el{F^-mH|rL(TAa!qly=^9J-s4L z?G9(CW{wkfOtgO6GIbpn$Z6gcr%f1*^$+p;rb|1;`2$GitDN-IWigxwH7N!?9Wo$x$1(Rh8rW2GurUzMTh;S>lCtcC8P#%OzMM!_Asx4x-`o+{`!OwAZz zH44V~rK=^7ZwkQ&w@gC#zA*C=)m<)u7=1*lJUlIkT4-O|_>CJ8ee+)A&`jJ*Esk$32gNtq#nCBW zUlo;!=_(SDW8}AKo@OaM(3wn+3b$mDq5|OYpSthf;V%*qo>=VI62|ou5Pp$4@?;vt zmKYur_45Ty$NRhfCln}yG>XEcRBoCc9M&+OA0#*X+^%I*Hg1^7Srz|EV{VhQZYAsO zeeLfeXB&~XBZ^u?H+OD&V zjd&v>eZK!{cpLE;nK*WJPmV$VDAm4V-YLH{A zJwu@5g#QcM!#!cIKkC4zeCW2&>|;_pRpjvT1qK7{7@aho3wH^kSalnoNLL(NnJ@J$ zQKp5pCY$Ne(}wy1oI6JO`vLR3oA!vSA%_BH~7U# zkSeVaQu|_uLtowlB$hN+nL)BXEef-Rz7+z8YHDVF)1}LAU}%{3nI)-B%Y#CuOLP6f zoZhq)<(27L1f{h|iT&YH|G0%$9-*LRO%5;I>_?sINBeI1 zh2{J)g&)qYa6ZFS5V?7PVo$Mw4jdO!ba$H3;nT<6+Sr-~ZmBfc0-{hNE%?o`x6d#(;2lCKiF%AQtmP|!I;%mZ^ zM;F8#R`CGgjAnC_@(yR4UEqX@(kOYZ6cWiX`$9EfCbkZn8T$baRB1Rp$Cj{ z!_|z5CFK`TJXJs%(1asy*Su~i3*N!`4zy3k?v-35A)0Ny2pF{Hl4jE3@*r_7#HkGlFC&A^5(0F}JqlOI3k-VdWYI%+r5ho9A9%8<(fc$PB}X`}DXTjMf9^29Wc|WOW;O zy0r>bB2B0l4xL&DvuM!cgB&PhfAP%sAmOBu&s;Rdm{9Vix+|t18opbwuE3G@$9QCO z%N2BZ+tNsxaooR3F953E8^g#FvoK$GNY%rtgJeV7Q0%(!`uOW#bj>m!BI85wYh0xLx=IS8Zw{g`8m z_n|xz)sLK`kOiG9d(lcZd3=dmHTFR=OTB&Q<8nfe3>eN3!dO2q%@K=Yed)Gmz{OgX zi9&Q$C(9w{B47F5fl54!m%J=!-i4JX|T6BpW(9s77b*^DMfy4zNq=GHSE zFKF%DDb)f2Ta9s>LR4?y<*;1)3cC3@ zEM{2z&&`m#>qxq5K}!g&Fght2R}7A3>60{m(fb#9z7NtexiicIx?BO=7~TP4VMCy0 z&#i_MGsMJeOW|)oi6>Cv1es1M#%SI81hrI|YTv<2u0QX08zBB4vd%r8>Hq!zol`2I zQqGb$k`Qtl>u5y?m2z5ADaU3x%p5v7<*-DB*xr&PnNC8CaxAAsSdNQf)j~5fbNoGD zJ9vL?zwdv&y=|}O;d)-r>$+c$>m`g|;sUQ6ZszQ{DR`Ge|NGI1x|YB%r_a_u@oSH) z9F1<9UGzDYapce+AMz=y%rf(!tB*GyYEzt<)zJUw?C-}-!OGGTPhEKX+v7vLs!WGL zKmp}^3?f*nH*b%ZU-ubH!^)5FZ)Km{x}I0$VddyDvR@w@>P)i zubS-PUWrfLsN6TF^K0hE4dGAFiqrJJr`~%e7*4j6$I096>q$zE7UL=oRPpoaHv997 zOs2vUcI-TBDf_V5bJSWn(s_HQMD(S%j%6&&3;CVZrv@F(=w_8yU1(dzeQ#h6bmi|K z3#sV^^&*o8nT|9cgyPoR;B;u%%x`={)Lny49;5Eq@!m zvT0?5Ymq-vEOvd?ky{UjmN&WWe3QDBP~!%DX=-Ax%qOr8>-_1Q;+JJI=jBgM zy+|<0k+4wueoXcu$&=P{H3K;*vLB4Du)Cy?P-U)|YB{Fa>Thn;9~9R8aM`yTZ_X9; zvF}{ceyOsl@p4gMv6rjICBe+bD4)qq+7C(|l1nW`DMhV81|MPnLL+^y-hS*=lHnd~ z2Rz8c=A;*6-8aJE%?9fNX4JMqE@``c^q*a3@N&C2>kZmAs@RS?IVaH~3GZE-pc&+b z<4b327x|yB%fxCTcw;&^wyhESv(Of9FK;vTqUb~X=HDON)u2ff5b4G9?b`b5!6Y2> zXPMHcHmRTPoi+6ss}I=!t4XknG_`?w<>em*`#3OeXdV%9X{~T0GmyJ+*4hERGEZ{e z$z$1a%b#&Cg8g#eo^?8^2rTBy&ao}_s|Yi6!B*glnEn_8m4BbcNyyj zv|lPYUxm9!iaKyHDxsRU4-aYj_gA{_EiDdhk|Ul=%87a`^W*e^uDps;tnYwv*NW+X zP-g>Q_>G~$8GDxxJ_gUr+dnoPWa>RS^I_9pi=8H=wJV|f{hCrEp@Kka9}R^duvR{(-GR96EI`+Cd&)XUXUd#6C{(j zQ>1|*cYmgDR<0{DA2{n+;2y}%@EnmALPcpEf z$a~*jT5`paL*nU@n2~oX4MpJFh?E7+ca^B3THYoat%~(8u$_x37$zUkCa2L&*2SWR zF@tZM{N~WI60|y6>7P!S#f;dR5@zt;GIrf!`nfxKs1x0VZpTxpFnpuyd^5aW%FP#MGmZ_)I8eVeK=#eJ zdkvdGoS1xwZbp;vZ|A68$Kz$d$D9i1sLL(lwI<5g>2p5==0*;NrXh}5mlKUhu_zkT zIgpVMVSNfreM_Z$~)-y}2{`%dDMXdL6NUHa+y$z?3`9 z3r68fVv-M9#%qv+9IF^vFeS?0(t>U@5`HK{>TM`O@#F&QJ51+J_+y0}!$#2hbEI@C zcyAB88(wc}OEkp;4gVB5&nCqSjL~J06_KlB+k(_uocTR>rSf!-0xBhU#Cc-&Nx5pv zL`3dEor=FD6?M1Y=Z?i0l9lyTCz`IFikBg0j9zEjQN^^w{v~!Aj=cJ(?m?}pc>3mo zV>t(93)(09o*RT0?XLNCX7d}Ld+sgIE;yeXJ2mB*fJt2XC)ZT-?)l;APh2Gxa;nF1&(l&#%G5;)#z*?GXefT=BbEw((XYR@CrAZRDBZHlhDgSG*CF)D&kG_kdrG0zsI`f-BlWHu*dL(3QPWVXQHA;eo=yC5OASr;{468J{Fa9%AezX^ym4-e+XE<*#E=_&&|8K0Ds31jyE0 zm332ZeKO)=9q-jFMe%xRXpo?W4t7Wdug+` zGA_F`;HEFYQL`Pa@GC(*#7stqZfO{w5#5*MfSD0(ulGUYkl+;y-&S^>9^u9AOD~}s0UdBOa5F!o$pNL!R->WG(Bna=*Ey#@KI5(VXyS3FPHp z!S6KaGFD&1M{E-J2pvF$C9L(a8AgOAA+A^trAapJFpvlCMt)Q^1~_ov%0ukB!YPFs zsoBS0=Qm^eCF|Dh-^Pom=rO3eggX9}Hu)GuYlTgIZ~VhB;xv7srl4`-qWhQrh z*deqTw!*z$eG!8%f&7x}Dr?9uO_V@-Knw+t@1=^t}{DZI)_ci0QZhf+@;6}(7?c5B8-?tj|ynni5wO35O=nMIg zlrOp!4v*bD3UJyx1p#M}LY@?S*;q6bSPWVJnuFbK*{Ch12EsK{bFJ5#`Qe&>ZsoP7 z+ABU;Ox%D%NLuU2MN{y19Kk1AaD68r>0`B^Ma@w&fh;VU9TVH}{F7PMntMk+-0a>jiTe*2K}i zziDqkf{;&Q!&X#8TPeSk<44GW_?x?gL1RBnwmzO8B4ZnKPSe-$<2QLyq$_{qj-`!M zRD~54yY-`B39C!?n(l<6@PlKF!L)msf~bAASB9*%N+y<{7pP9j{uI*&xq#V7BIU<> zFG(kZkNG#=*oUDXUF+MooM{D8hEvpD{c?P9%wNHO&<&EKn@xXND4FEZ^xL#?*h<8) z>@Q#srcw(vB$V{m@Zx8LY#|+^=(z>lcx)S&#YC3OFRp@O&Rs10)qRGBA8UTuKLZyF z&%}}awi22*yz=kO`_tixYWkJ_{D?NXB#NBoezjm}hpf5t-g3e)mF4w`(Pg|@Fom29 zy3)<_ASPZ_Y9F#Ol_XqoFH_v>g!9Tgzg5=3g6)!QQsF#Q4BA9@(lit%7?^D`#?Q<_ zN@nj>p8Wu?@u?0nEsdbrvc24mvCy|3Y5Z02e#~jbiIoi?Ye5EGefR0rL&H6fJG$j& zf0k;WP$3SZ$Na5U=L>Bk(>&aCa?=I=gH3Saj;aFNAlA=by|o$rg{1P?g{9N~h$dvj<*ZuM%u+xJ9}oS~3ff3et=f}_G=#ls)Yc5gks-sVznXE0gv zIYsxV(z8un$9v5aQPbhezFmj1Eha3wB~}=>=Qt*Q;@i(G*9?OUyDUsKxO1}Jk-~Kv zVwLZb;H?wqb3u7@n{bGn(jp{zTa;iXzQZuBFG3R{l`C{_fU-%m5o@}eT6Bi5?+u6L zmvU!DzuT9wLZJjI;9Y6Ka>0?FMfJHI;xDOsrr+Wp;mm1<@V&bHGr8D19}-T- zY?BaKIF5&sp);vV*Ml%$256;F?~*(p5kOt!(HBc+4=n>9yZYe))5 zu1cHPZ?k^yS!7V(YJcgh2`_Qq`wKQ7v%x;riVWuV5epv4zO zc8gqIf6l{)rY1(ht8e`0afd}_x0ku*GsgiCWoZOdEWC-?K3iDkio?v7HnjQmBVrDJ zdD9|dDMnGe6kjv|vb@e1FF4t6=cjg*pU6I3Mz@;vMr|^bYKIY(a0dm+bsu8g_#-KS z5nLXjY?SRWvzU!xKGXUL3MG8W6x zT>fl1gf_lm%1_+!tj%mVQ!s@`(pgtF=+={{?t@?LOrj)LHhud7Qu{~2_`c~~a6zI^ z`5q#>inmpAWWTs^4>h6H23hLhEQCWOC*P7@H*z0qdC#QQI3!TWOPC)bGx-C5U@|XP zI$|rr{~d+Ax}U;L$jZn)bW<=plZO-UrWFL1Wp7HvGIgL2yvqnL&pr1&k(^SO-0Ydt z!Vc)zd&}_}#CqNh_nv(%Zn1%L+2*QcUYK6)>Qt5F0!L-yC~W-rDzAEIrsBm@=^i(A z05`bRq@Q#DuKmg;7Bo@Lf;9f-YaRiqGo8VVN%Ch<=7Mt+UPcXJnfr4Xk0tAbZl9eo z#N5mjA7*cp-EDDlg#ofotHxmhVk)+l|sBpgHOOV?y8MLiD)lA%s35;rX(u z{z8wD7kLDtu$EqjL0*)Yc4-MNjG!a_@DGYfJ8A(Zbbh&BhK@_1iQ@e3 z0N?DH(iW{5!dq?bevp-Fjo@6GE$$#*mFD}}%nNtNf0@?_B95@WhY~`vGD_JpXrUeO z*?RDL#XsX7s^5i?Q7_WIZCW?7 zjk4vUo~2!24Q6|m(#^}(=XQNR3kC571bZG<3MF{4@L466UW#D_=dEa}~sQJTnD4WSLO7hrbcu@#{4zC6AcWoiT zWWwiJ)?hCS4?p(mHAEZhOc9&+`GUbh;G^{hh~fux*g9)jW~dQvqR2%kkhiri+Dk)( zzK$z#SwDK~@}qgupJf`2-;D5I(UrrcJ4OTqXgpN({3Y(DD~2}5$OV6mSFHO%tcXsn zd}}|_zIrK3Uwae8+~p6&;XZPgAC7CUsw=GvII7g~BwijRkGN*xjS)Mhc-AufU50AZ z_+v$aHo8fC9k_lW;=@LtT=7Y7CM=UIQ|onbK;*rbhVd_JcaG23*B-P=Leou;e7 z>-8kO_dwI>tjyKF;3M59JG8_8i>!<#6jvzzdk!}iYuLDR z&(3?#v)6od9DHT6>!#=Endl8Se(4D#j(qq_#*GOURj2yumMLzH!wVnH{6TJ_R z7E|;VjU`G~51zs!J&QY1EMC2tyJl8d@SyWglS5?QMQe-N(43^qnBvuW&tkNu#ERir z^W;B;;GHSX^t6>{kkr6gkzcyvt!M|o{oNVq(0CKHCXXJ}8Z;0a1TfE+L}nW-2D!v& z72p0kdK-rJ1<%dq&Qdlk2j}PSnTFDO&T3$vDGIzaImyF1F~=DTdo&s{N`cQS0en_Q z*ycu>Vh|QKQ!1mHUq?!jQ8oP|e!BRw8T2rH(S5=w?jGO=m0N&qxh|g7t3LXCXN4pl&3a!t1k8&oLX|;)1#lmJFsSYe?cFRjjILSt-g`=M}t2oi5^oXC&F0vNu ztoJRj&f+aza`zvzhZa+H$NynWvKDm-9*HZ;gJUSgXa4`rhKn)itz?`4f&$V+A}zsZtYieMMTBgOfY&rC3~G6ul1xX zM_Mc-Zeeg)d|Q*$k!AE>^cs8U)0E(^ou>qQD<81zFt85J+G9{YzbvX`A{247_I``l zJ=+R*3UC~xy6ZAKj|zvQx(_&!rh&&&asfjebd~(`JpJeo<1nixziknpxA?2oM)&)r zdw9wQ?KUZ@%Rdu4eSv+bcs)q@@c_x*ug&AX^_|h}BTtT`zBNJ~ zKSa9xMdU}t!lTf{o?WL*z%I@Z!dm|Or*$Rx=^w8>e*=&e`~Gg7H5zNLyo)QUd-+~> zkeu&(HRaml(=QCE7U*(Sh~9X?$c1TRGbb?HvUU(msY--+4ctHx-oxG}JP`v-xJ^}P z!q`=+pW-Hci>@$I3-a0&Hw`w4VK8-ia~bnrAZ8>j`u(1e8D+P8tdrhh2`hm42Ujgtj< zy?sg#v)KUCuPmb_i@V;Gn+ZGb&}Z&LSeJy}tUT;UGq`mx;kLo$P@6H}eYX&dR$m)S zTM7F=b``E=^0994RZk8+Kf!6#I7Xv62ZY(r3u?cnnKZ@p>c7v*Im$-I;B*m45or*_^X!dL-Y~c=b_E z_lojk%6cjjp<>Q40LquGq@m}V7fqM#tbmHnC;V6XGEys@iwwf_A1q+IjIr#nkx#(zTFIZ4qB)hv%DsGz0 z%G`)yw$&S&(OO_Z?4r*5a7lIgM?~EN`c;}}nC;g%!{{jB@$Ql{Rv5BERipXdGZ#bR zc@Mzq5TvpHpCsLz-;5o(Vgsl#>)v44*}TDCT{@QU6|Q#X%*6n-{uRT_@C>7_;C^-? zeSz2ef=7fy4pxS%L;-*&1ad#@oh^I^HqIril4%sn-DgfP9Z%UkGHp|rHw-Y1ZoaK= z4Q890c+#cBWtaGs9+gFFiA!_2nC-CL(OSa95tWf^BuLyXj}MgPg$qM+ zJqxj=#9fxoJt}}0(r}z++i#Bs8VHQfP_pm9gq6A;oe;HDyIK+zJrda7o2y<8~mp^Dp!B@GZj(G#Ti(JWDO zh9FaW)an@|98qc;cc-Kv+sJM2H|fwFzKcD4Z{~yJHM5Q8c?9*1s=!q|M#JD+MfO7l zs_qg?UnK-YjwW&C2{?I;6N8z{|kIjql zk}1cQ<6cYSDMYk()(N;rAMSb|mv`rrOUZ{nrQ)7+3ZI60w|@;kq1NCS!jlH|o3=sK z%2lP7^24UomJ&hYTUe%VFQ~<$4@V{m$&^XmS94`yW=%15=JA(Rr9I-aiYIkQ1LZOKMntO)bJdoznmHJ+&OZ3 zJA_aY}ZLhnQ#$qP@vW4d|}E(dEi;A%5~!dFSTra0SX-6M4#1k{&q#@%>A`c1S?1E zq3A+2``CxN#AI8l#ChqHP{lb)S?W+;m42voCV755%ry3lAgwbX`EK6%-H>0*r?9(( zCvz{&RH9nAag6~?q;Q9bl&y+_9rB7-F%S|-U-cqRp8Q9?)F7xbeAQloHEpMoTmwR% z>EQu*V3$;stUXjz1xl$4FKAR$CR+bcS`{1H)Z6WKs;X~;wy3I8k-01}=)}%c*9g_lNw$`PscU7thSSWca@AG~_R&P!NB+?cJr#F$XyD$WsiYx&ri zzHTaDFvLNSp5wwZe;oGQ0tE^Uj~5bA@*WzW+LcUV-FLI+|Lj*@lbQ?RgTVS8m@LZWjoitz3x+}+nF-83*L4s^bVjHfafR8i4uOtX%FrJu*SGL7 zqEj3tyJ<;w;@qGk!B>cIda-|&ctXRKOG{uAIdnmZzf-9BDM?}CUeJZH&dEP^7eX}aY&jC|5sKg)^1--ieWCC2zjH<~145Z?7}fr&kp8fr8*LDJ z97gmfR~{gGm*Hyna_Mx7`lU>AWzXaE#!3!s(7Qmp1i;tei&Ph7Cv_~ zqEP^#5=@?D6qfZX@{D74u0esCZJw~CwLwiQA|da6MTa(5b=IZYqXD|*rbaRxi5t9t z$_Gqeg(E8v1^Kc=oy3IWAgag}2;etarJNAsCY%{Xq1FE%fx{isAGyKzJjxYocJ%|R zj7kO?BDo^D0ts(fC?NMQW=)#BljZr!cNv_pP@+H|!eOKT%r1+87C@}D8kMoQXCN%U z+a_^(-xKdsCYV11S9VO4)d6i(-~?;ei%dV08j5t+mvH9E7Oj6;i;sqi+XH0+9H*=h zIRPNRQLg)+s~5*XjSTv6WxW3wErq9U@S6*We<(c+RW&Da8Ov`p&jN);3J`IOBP#Y< zorjY0fe#_UVwX#cR;T8sjE3YW)EoZ(_pB2Xh8I>K51Tpe-eMo;Hmg{S#;%-E&4=_23I@zqF~d(xKyYxuk$Q>e}h0pvc<_VmOnIdVR}Hn#O1jdE&m3< z2IyM~sXDwMwuBgNmBsN{KB9i9%=MS0Cqi?JR~(Q#6i(_#KU`7UKKR(o15Q?)jpD=9fwknJJ(0I56oDHZJaI16GyH} zDfs;uR+M4B3*@wvY>qvUa@cm#9q#K9woQT@Tt3XS9wrI$ zNdS;1Ki~Xz|#HQzYkqPH=pbQ)22L#c+McW0VXVPfe>p8+3MB9X)DF+-@K1RLs_yH6q#=m)$Uny z=>3M1P27%nued5!!9O?bn`Pasw2MogDQ2I$|3?l_yy(VJjl!)2rT_<{|Td~(8ly2KQnHz$UCS&?J=mEyR5}@+>N?Q zYY$Pw;_8{44=YYoi!_St`n?(fs{BDFTV4QqNmH!&-g;;3#%EpnHBkD!OQ^ryHMyqL zEpgy-2Dm7;koO?Ih#TOIj?QlV2fXn4@;r8oF-xz$zA3Nnq>OK)RJqmuebq&wDh59t zIH&U7T~>;L6GQNRB0sz}!lJM7^agdT?XCu4cVMw!?|jZ~*)9%Mm3OFvhX>TffTT!f z;}+I**;v&2;(?=g0rVg@4C}sjZ<%!yay-dkNciCNg~K(2gB)=0CSeX}fit{|4lmuy z)cxCtmX5F)jm28Rx=CDBdEp;MEifQKXxiKoDH9nV<&Rkl-qF? zS}!VMv?fHFV`1o@CcsWd5T4_eC2;?-v}CF}NRGg1pQY~!Y`}z9_ScW1d+=0Pj2GFj zgj?%m)WA$*|0&HMe;qloBX0rkXf1?`9x=KL-@aSHfiPgft~rep4~}>t^IsPP=V%69 zJe}3*j`Xi-p5pY5+JVw~1e6o+TYDA>BPd9ryXz!_*edclkG{}PdGZOO!@_vRmAVJ@ ze@{6Xo81nCcxqW1#8V;enWBJt+c&aj-eLXA>4fftC zr}f|Ld995fwNHGm4-2Un1en5rtX(wytl`%Fr^2&@{t2t@eli^pR9_C8gw!H1vQTe? z_ypOZ0{hA@RyRcQcESWw7oh}VCr~bc-=3bY8Fjb z_sj=5!iGBCxwG}UP_F+unCBK6Fi1*0ZaSoFU7rk|BcHq$m5T85co+6{s=ZPVbc*21 zkZ+)57@01bZXa;*iKi-?_v6nilvvj)qk{~3Bc+S$GLewksE?=qf zB47u6P|XGwG(`(s`)qK}B4^WaAqvLi?xe-d`I3PC?QzTPlBp(>4O-z=zNrLro8FFS z7{P3&?9#pS?vR$RD7?P{@#=LbW?qKUJXUNXu@xwnROLo2aes#2HQMW@JuFg*2s`aGG8VHx^rb*d*F9ladm)m+XR4Iw#cW`*{@1w1jl;tJaT6UTKw za7(ce{I2xVR)&0%EBU?1NWVVdq5VH=|5G6uZa~W$JSJgAqcM{hza2t8Tz)XYKfO=u zwAa^d_NdJc^4O;^cxuJC1DTr?(C>6Y$l=DBpmxt;bjV*nu{d&2mY#;KSk}VISC$&& zv9BxG-xV<|*jS9WzZtekToMS;U>oT(_x-~Qj2A0emiMYTze8lhDt1(gmAE-y#g{;e z%g~_>w0|lpwhg&x-Ixst8~q%5h$rUq6e~$N`fE8)0E%gk+w|(aVJJ20B%ADmyjH^& zH6t{mnXC=h+k28jw*;|`ibICJ&~<}=TPezJ4q2Wtn);6ze^fsco`BnbqGZ(De<+>{v9uz@vjINm<)&r@9u+sicxm&^=*KG^kc1|ywV zUExT_i;ZMCU)@q6zc$$yH*X7cuWvCTf-+5;m3Xe(ov6_EQ2e*sdH$gajS?)({mqAh zsReVN!{%qNuJkh_6dfv^nj4g*!}|^9;cn95W(qN=Y`((N>~%CsezD@LJ0^Vo)V3Rh z>`7n^6_B@X^J%5&d1V6rTw}c6k%Z!vSGDs}=o0@NmpS`UEalxO5 zoG}$P`lauyxi@Y5gWApfk<`N_rek-&-xdc2tOwy{M&O@mxF03c0Y@1bcutK=SgcRe zIUg$BQ`;Bdo|jS|i&@G%E$7PpxxS*>HnjI|jsvga1-#14A>`JfG_oY{;9Dx!Q0jYV z7F+0e?j12c7v@oWTfAX+YH}&wkPKJQsuG@kh3QWaX*)b)w!9ua!Zl;x_8()09po2d zl7QOvPa1jgU*|%~xTrKBM^{8W&hCx@K=`bTI2s-%HvrGC( z&QWLV2#vG1--7XL>YZ6F#KIJ=)dN2=s(5|Yd+2`)5Qg2G#&KSly3qV)j~N{h#pSpD z`xo3cIORRVZ)-E!cM{2=vQxQD_2Q-LYyX9jkeg3c3Evapk ztvP!6GvFL}>lP;@tjSdVtrr8Y*Ll3%TV}JXoQ}AGG?1f#f?AR&IBjNmKf6B_y4e#n zWaI)n3Zh_UxN~VZ`6U%Mc^UYpo>`@PuY%4~pv6>WYM;=o_=PrqyXz8SE?1|%;oROE zZ{71TrQ%Ti0R1Q2tWyROsrhQ{f4mXX4%l<|oJ!b4!9u8C3;6pj z3%Mbs4hhYBj!~Lj04nBH*eL8Hh4ga=n>2~)j&=-$g_xDN$Bs+IGs-rA5y>*=Q{Yv3 zbwR7U$SbXVIv9dj8cu%QFNUiTL?}2VXQU}Vnq7qb$o)zJqql|t`WDYkg3N-^YQAx4 zV2J}WwABK(9}znoGN=OGaH5nBv}xO6P{_1~)adDn44X#Yl`=udogKGa?+3~uM$q<= zZ_{3(KkjEXe z?Vx2cHB%3CN~K#fAeuX$z`55qnH?>x?+l6*w-9YU?D%9z%qt*-!oUTR3GO zZ2Dv)GY2s>QO}TSc8(g4bs80eJem_Is_7?BhFEFe>yDlvz6J zgsH{1x#EIqcvag438yfZODN!(c+XS7Q4Tl?FW>9szE9owzZEjH<&AJm1geKi%wAcd zslF$s?M)~o)*EI^ooXqnFMN=HS<9cN>2PZH z($5Q32lN|whNm#_(^Qby`OVQnRw(e7NF!p#q>XVs6|(n8#_v(s57VW6pgV>PfG!1U z{oJn)^Xly=@U2biShhh#ljfE>sALf_k2Xsh=#&x|*{MUgG=IMSAO0vE@q|Cc?T+Ct zb78`TKzfQiVDX+MP0vGMe**2jI#BQ~1(O+WSfZN>z%>w5#eH2f?2PtX zf1g5oUW73kjJpS=-l(SxW-b&HYdJf3u{gm!+s@g&a|n0=@HM} z0rikHCK0>5fa(D-5T7CT71F5&sD9psHEvLI1xNiEbks#(A8FyQcRf4c+Y&jTY%e*) z<)zW=c0%`xCi{j!QX4MV#q#*;_fQK1GK_0-K{M9flW9eGL-+dN9Q(@`kO|xOFZ?F% z9fC;=Xe9i(M5df%os9DXcFud$iJanN(04wW(fjc0V)@)XTEVYD) z8j_Ho+1Y{y&z*V%3&~A&3U#<=))CluID)dWNf-2Gp(yu}m7NFpqP&1=hZjP)*4Kc! zC!d0DCaE8D9b|@ot+oQH@TbsZ3+c>Ew4mXm-PIzOk4DT*E(8nq6&^8f;&`{PY=a1| zN?u4mlmA7yCSnEbPyFGJ&RP4P5`q}`)LGXcqw~J}ZjfA7GJGrFfX81a!pepI3|3`m z$UA}&vU%}8<^`DKk*#GT4`Vnxz%Mk2fx@B@lsEN=U$D*q;^o=Y#kmkWPrv`1NVw_U zN6g2d=_bFDTYua&$XKyr^0Vs#!^?KJ+cZeXAowy-T&bKgJ@Z8hGFt$R46DkOtEUA> zNX#w%vtVDl>x8rJR-grh?cr7CCi9-b$QDKN=kc~sBU`Pwlt9)_R!`u4@X4H!0s;OQ zMCuT7@tad&PkcDFiT^0e=bEd8%ThVAMT5@s&H8o?v@D>~$py0Oh(@1s-}j2VR-(#I zoe;Lr2(Yp2faJA8afq7ce!fxql~&O0`vp{K0;wBa72M~2lfMff={WmW`1!*H`WJc2 zPGt0YXD_*CoMuhM52$5fF1uqN92qa%j`jw%SmDX%WY_V`(u`h6kBwNb*#~w9-2nQF zkS!~_&WHX=BFz;tQKqY?Lbnl85mNXVrp@=L^7`~K;dT}$d0hy0L%9sRAb!g02wI&A zakNph0DS@fJ_>6;r64>m^zB|m$b3X62p*?it1RtE z#^Qzy$ayqS{bfHfK*$fSwSq$Rc*^{)&B804TDra#>K6E88h^j6SlL<^h};tX++7mNsBJ{P*}Fwgfzgg==a_qYqC$>73*M;Nw9QnSxM+sHAB zD7)NH9=&kI^kZYn8wWpjR?6gupw&Mf9DV<$m^Jr7e%wZ~XA3Ibc7J}t+#H7q{vWyk z>H|!GWfImWpou6K+o|9huj#CB$`vutbx2?YyZEnXRt=>y*g+~$PzzmGp~4?DC$Q$KdDqMR6P@-UeWY7P zloFyE*2w%%tuRg*Cn;p{Vxwy=r12LSBOcYe1NaPZh2WPO=MRM9lmRif4Vd z-*M)lD(H)HjF6uo_6+g!7Qd@^IC3vLg>ZA@Y55G0ao&ByIXN@8T_>bQN(Tx|&?0%4 z`R40Y!;yS9CiDcB&k>IN$Jy4;26^Q3pI1~-mn|3T=8LjYc*|iO;mnoz1(^)S#lJZn zmRx+cjd4b<#zDHPv7gN9O$}M1nB%_;_X$p99n+M^06Am^K%?{Y<7jMO{^1f{YZ^Ra z&ZI4P{$YX+L^8s>DIGt8W_5?xL5-h>!^KJwDZ9t!@w&MZw7Ctfmv5Xi?0TU;n2N>r zW#2X`0^00$qbX(uk@7(tc@ZL~HYz#&>b!$eDVy`|r|_WA+o(3DKk>b9NGLpn-Y+QcV$f8a6DniB9acJJITDQwUm%#_sqim=(f6yT=xIF>(i?0tgdkf202= z3E2M-^JQA2S$z+Ih@TC~40pY2RXSCYpy=K6vby@{)dYI@>wiHm@MNkhXJSg9RP_v7M`6fG~p-E zGP9~fFkBD8%6iBa{H%dR>Q@`NHeu{njrmBN3B`4i6@2MOVL+)`l_mF!MY$54chMDb z7^*HP{_C3PzjDKUSpa^~Mx(S1sx3n zSwy+v%wWz_qt40YWxvxCwSA@3b&2|{yR#H?Lr)t*Z3vKknm=}UV^1^<=ZQ1S?STRY z$mT*I*<659;`{2*bE~dZ^tCr8@-;OLg|jiZTSyd+{Q%&&G^?D1ApR*!nz>?Ir(xS=mm0(d= zgVAxEZvXj7AVS1tR5J%yPgc|=(BI011LR2cCBR||0gm_?z|$G^2JSaXqQ5m2SM7-y z69e6Br1pg<;i^HrWtx-J0#d#CTcB5~QGBoKZ_Hj)nfD=-1Cso9ahzeOr3DD(Df~ID z8!Xz5hTFW4lIsF*XV6hSy!AE}M|wwO6^c$YiSCAIF`E23dd)TzY& zlNr$j2N{4o?nZZxXg!0Hc;x*57B0LEiZc_|l3alzSk1<;$`&4GO7HP;^*I3gvchXJ zXrrEMKws8E2SG?|fl^h0HOad3v?#pn?jaOD!qw*nw;41PcTne8FIG1_;zklheGDF~ z1w4N?mr7tWBKvW_0|1`rt-m|Fxeej;_xO~_<&`gYQBAfMqGv)XN~yS4*dby?Bnuuo zUCxEng1lznev!{5Oto;AHQS&;;W3u-{{vFtUIM{^7wn*Tmxb%w#^!`>>a z_ahE9ES5^df;0obZF-*L;$KXeHV`!qHiaw?H8A@KE>=&`@Ar{LAM@3GS3Zt8ko{g6 zsJa#o?IC}6$cK;pmfLV%1vIMXKXCH%zwzM6xbryY(K746x*n7S3S2tumWAov=O9op zHtmhBAdUFnhH<*qMqa&xG-p(POc8%YyR>FKv zjttFw8VdFpUfCaX8Pu@WR~~KvMm~REnRjs>d8?=b1iYl)DSi3t{eR0b8%)0LkbbHHpyV44EWd+0`$ z+{P_~BU)1U*~-wHpwlu!=inUOs6{K@?auX4Iz@8ALStMvUNt;lE2171{zy6*Ngl?| z9~5IgMlkURkpM_o9rA}8z?K;S@z87r>pihh0Yx(kdULHpmV$bTS6#(q1rt=qe!KrE zs{2B=Z(un;6h?XV*CvmZf<1k=k08RmQJUlY_#Q8=IQCX82Qg=4ZG>A(3Ugq9&a`hy zNCS^$p>KotV%cXRw5utxr^3wd zV-h;?wtu#5c}M?Yyo;#^{#tXeu{kfn5D21q3~rrDQA6pu!tU07o#7qd`s_#}%Ru`} zo(g#!hm#)7gVl$v-Os#nr1EP_gdQrsvh5o~wNv-PUQ&7ZoA420g>%p{&KI&2W5bbB ze)l}pJY-(a3fL-shH>iv;C3@t3JHVjcsDMu^VtC3TgOo4AW6%{etU`7fQkuZgmHDG zN0hDYoM$oLw0#}+E8R37y}B%WBO%d0T(6mkr^yY4+{V+R3*j*B1tyG_$zOZN$kX8o z-$Uvnx^?`ZZ5`=)xGa%HwNB$LasgmuCUzSF&Z}0jYUP=PyXQ-*xYO` zs0FZR#C1=&c5_Fcodk}7E=`j)pRECZ4o%Yak&inR$wH0cytZ7>-~LYCkq$0t8&W&> zDOt6}lth{PAh!lhYn}V)Zbq5|wGYF}XZ5T9N6*~T?Bg-{A(dh~e6TmTeaCe%pt;m!lQU=2gZ(>)8(1|^^hQGsNvj#)S%;0E8o*mvgRmas zKQG7$XRsNth>8HXeZk3tmtQZdkdqZaIwc;YD~<#=J=eF%Me#wY68^;7{@@;;M;9-%)}JX{yNp+-Z{2geOPmg1_$ul7=#@7j9!^S4 za1Tbv?P6IP<~G4lNO;S5+0}_uCpFOpR!wD+-RJR2hj%Q)z6R$4I?;9BMP**@7pyrC z=m!>OivFoYAxyvpw*`wM>spT0y2CNT!R(*Ry19Cj!5uHX!h|yx8 z_(m(u!l#}}%rNfiRDsrl`|e!t%h9DOkJ6D8JvXR+zy9jBoSvPV28SH$%8&es{WhJ0 zpB1mI8w78F@CqxSuUD>yl{vk5|F7n=H;P340=eOUQLhC{rOvY+4&<;f1y=V+GUv=8 zr)#6OuxI=F56{XQapL!fT!u0%TZ^~5JGP#eHa}a3IKE)g;up9#tIooIAv!4}9C`7Y zEJ0z9{HwyT*Cc`&YC>;@Yc}G1RrX<@r=}KSJqbnBtK7J`;TS9Z$J!GH4nLLO9V~5C zGt&jS@a+9CC>V?Lf6})SRnavj({=VE@kN#5CXO2^skQFlKu01FQK!;ap+TZQ=7Ncv z9`NgfH*iupAU3aySoSmJb2j*?2037_%nV}<2d(5j#O%ris?~xHZF+1b)dye`^zds~ zomsSm8EVX^l3dR)_o!P^yMwnr3`x`HUaPjS2!738jzTqlL<8bW2J{LG(DmYLECw{Z zo?3hGc9!&fAc)zKzdb+*XLJfz_>TXdSHT!lmKN%zGPCnGU8$hDp8 zAD)OeNLB`_!JLOMzbe8^+Jr1;qu1c_*#1{BUJ1tj<;o4ZBlSCqkV<^;UyW~5ZlRR~ z#aYMhseB}TUXy9^?yH;}$(oXq+X9@i8EzM-n?6_8<*&J*Q+rIZekgP*75uazdGUAa z3?u5s_2vPuf@WOr?g&rZ=FlcF?(O&>Mlw2fvaUOe7uU0q`3 zeP~50SiKgog_^>E))UoYQ9l9 zo@PpVQ`Bmnnd=Sp5sWvmjDO5Hm}_d<`@&w=+flz6AS@6vZwu+gGd=1a#x~{lN^>L3 zT;d^{tF7v)7p@){d@Bi ziGWNNV77Vk;>>1a&mkV0S%mrLaL*qAeLOs|(c;{@E3Z#NpCNPWsYx^)g$>U^@X4bj z3W(!jn|TxpRiTf~97lW;a*|M4L@b|fQMhDxm=M!yA$+s^dB{M4>}OFLA|y%d^n(Hd z0v~n_`7gr@PI!2MmqIOshOdku5S)Y`Fr5rM#Yb&gh@Vtixd1)X!7o?@@CJL$rGRcL zNZsejgvG?~xD-P^*c*oVG%ZyXj=fH_5L~DV_Lf_Cst>B&mGP`==3?4ps2@MG#fFut z28mAYl`EK%ZMG^SLd8Mmp8%(aG>h_vH}GMGYkPJH6d<*nvv|xhy!|9LFysct91>_c z{ubW{f!&#uIca!m$lZZ|5TSB*?|+Xk1co2=+{h|Iyq`eQBoE8y%nE28lS8rL@PsJN z9U{Zn6AmuRp8>e*ScWhm!qx3~0o%k`@M@mRzQZwEhamokI=DrppTNm5{KIMCUvle4i~cqflK zi_!D0#Egs5yqyGa#l3vtiH!hycG6q>rUZ2xn_tgSd~P2hPwaox=4kpcE(K~GGa|{K zvjT!8h~*$#ST6?+ZdUQ2n0oZd4?-wL$?)2q!b3UquigLg^hV_=9!&&gnhg68VYz@x zmihskf5zvY@2=?yz)?|niYx9DPc4OQE(n8LfpfALiWUK-hOd<)I!`9)9Ug zs-?3{3M}VgW&J2Y?z}u8$`8sGT^?l(pMbvV){xPVyF4jDmU;9TRPwtP&-elwo1p3j zC15%Iu+xpaT7%QuA{zrXUS|n$-S!Dg;&J}6G#A3LhC)^1uQ?G5o&_J}79v*U{zsZp ziDebMN;W7d;G5#3h15%B%5Ei{$C*eu zAiM{#cNW32kED=h9)owQC$1QP#3eTLteKEMx0dR9pEaX|H5BEDCF@=UDn&Jl%~t`T zMfN6QG7N+`>u{dRTE0uOp~nuuTA->h53|3H3f{v1A7pysJ{+q~c(z{9A5nQDs|sKT zmgk!FE>Yk>XC$8A?5CyQk+I|h+8Xp#Zt*S+E`$BOW2qKFVYEFw$oCnV?c)Dc>O%JF z*g>BEnv3!SyCwI=F*{T!n1Ns1U(*&SIOGkKCarADcQFw|-Sz@Lzd*-P4yR++B|%;w ztRwV|Rd}GC3)3>Knl<#B-N`RQ5)wPV{R+>gJy-G`;t<3kvi>1-c*tZ2j6AxK<%ZJUwHp~xIZNlI8(~SHsxEvHvu%CkZ zz<5EC_;yHvqnVc=-FDc%=A3y~LFYuP``$G43#QA#DLcn}s@t=gZQN^k#YVsSfCo$WfC7TF*TS8@%OM+CS3Cd>G_5F{QtS8n z!}{zlTqL^k9e(v)ZSj~gTsS^0#8u6GK!WhgeTq_$!jEq zREUIgV@9#tJ!XWLyP}wIbUj46HHYeiUAZTJGg*1`d_KDj{AwT_8qfiMNHmIXACctgLSxTUCU$=(SX5{a&YR zo^dCc&)+DMngoSg&sLJVY_-QX|m@+y_iV)L+R7V-m3kY%d5-BI#YIt&j z3D*gZNH%{9=E)H*Rjt22^Sxp;V@Fq)@MMYUJfmc+=j&;3bi^#|$9CZ|>fq~12LzE? z%AZm4^(5Os#skwF%1SZqoJ|z*mzQhY%@nffSB26vkT-8VHL_9u5J2+iMOS zAq76DsKu_U?jiiznf<3z14M4Y<^QPuKeoO+9_s!3|K3}-v}zR+l_UvCl6AT%L=lpm zkYtZ(%Gl0th4_2 zOqG?TyB&e-zy1Z9;Q*%5fHuBfly~l{%jZNTxpja(iEaV;Ii&VI5{#<|z07Z%cbmv@ zrytsxyQee~P$oCA6;LMeTZQjU3PB3eR7?w>Z8Z49kp{Qf|?!$`bYL3Y>)iKQAAZJ&8EFE+-`B`}IpKN+N${E;OV zjKAx>JzxFx-IAW{ZD56+Wn}5g>XpfLq?mM2h>Bw^5awg8vd-XcIdsrsW^jj3UyhSG z=pe-Qq2>VH>rcee@*1lK6keb1Jzyr@5>ZdROH*b>Q9sIaY!z)CH}UjzlhVTaKNBnM z{4v^4E;{*7?5HxLE{`)!HI4TrP4SwgLMD)zq^)vLV;x-qd!JTEl zZm1aF`P}OD{tgvt(A0$YB*9ebcfZ~PKyE(p?l3jK-U9?d8QBrNqk@pWntbzJ@96F)NK)D6d$1N1;yU~M z#zJ-Wkf^I~9ThH`^mWGhX=XHeV?IadR!&U=LGQFQ;Fh2qOR&cqrYVyEO$j(rpIkO| zWoSV62I3z=T+iS(h-2okDL@cux9AT8NjP=@Vr1MmjGbbAXO z-8^DNsrgv@YNjDYD3qi80!=*NV*5#f?Hh)cYfU6fV7q!f`3^wAT#2ClbNY9ut&U)B zyH~TnEz4eRCX_*cBk83)w)5!Qu3qYoBP6Euc-j6)=wiNL8z1u<8M6URDpVuDH${6$fvS(T`Vwo7x zjWl2N|4Gpf2BawLNV?gZV5)^PIzWl19L&MLBGuTdYB>o4c5n8y(Q7X!VW@+KjrM2v zSwnXa`Uw0_<5U*QynvXeN8H`J5!`TTMD~d9{UQRU6Xxz30^&QRQdRou>kuX0LgFjyquVnYL$Yt`NJ;+l1fn_n#iLP>WB-R2xPpLU}H~HSr zD{gCDh~DdJmod$Khb}z6rPo1HFKqS>JDzl)YJc%Uy}Q3)n}j%+W-q>ft5=e=C%jj@ zrN4`5k<&{m>Gcl#j{oI%WWph_OOh4O5X`j4r3uI3+LxFA zHC94ispv}1 zL{&My#~YL1Y@RtICGS$?J7=rIV-P#H*l}mBU(bU-rr9H}1=_A|}(`h}T(azQHqBsyQ#4 z85~QwcU*r-UconD`Er+o`uPL{>=4;!Y=7VUBg!f0%q)}Kh}Y#QcPbqa27-GlAM;l` zv4^^;F4QGU2l)`Gk!v`fH%~MDt{yq*a&)|zB$41>K>RHrJ{LZk@U(A!BxZhEEds-fu_=rX2t{NKB12s^S*fo(E>+>MtT7Kqhr_=`?Q*U;JT#)+UbOHaYv{vW*jL{pzjO;GUocm(e=q;5x ziL|3l)g}jLDk-&jsqfB;d2A>W+oqTCy!l|q+64C6@}p87*Ch2FfbMkhm0 zrLSMI>}=F{gAhq$uYMQbT0O~-DpslU6dcnB$g(JMcj6vfuamd{*cu-qW^}+*9nGe> z+R!aLR0|}M?dWES$VDvb-q(vc8bMtm2=X4OY$wYy-zX=R>e!(2lQB z;rWr3r$X-E3ON7RGu#K*U{lS+p5VG9|67Ams1qb_=>ry)j@Bs=?rTJ32GSdn*=iOM z)|KnZgv=sY?@`5C0>wI;-U!v%k{p)4e>EF9G1ajqC~M+6E>mUU#r(3%s#Z~lmBC!% zrxIuMVg34w8xA-6($}{6W}F?1T7RJqBhJ|A9IqTUee*BX0&_&_n3&b8!{*{6^}X{= z_P&>p^qqM_hV0z3rkY?AA;xh-8Z+EYuzGT7)NDJYXgxADjFC2@1isQdAj5Dh%6vok zss>eB-Ri%QQY~o|YEE~;M*Nd@^r4S6eY2T% z&*XQjuoGT;)@Ww=hojFKooMs7^ECD_xMm%>81>9&_yPv`nZEOm3|3j=DB0kg_0~y} z2r);!g{hF$oQt7{_{eLZcW+;+jMJ&>Y5XDji{0Gsb92y1VzRlt$F}|?ajwB%Yf`Y< zo@_*%tg;z*V9P9rt253ZGS%XB=anemOsk15%M|C|)81n0TPNLRQGw_!sjC65VaQQe zhq0A(Y3jGB(euDc!j( zYdQveoX`*`#;$P;a01SsGgsEFAPieuqlRO-QV#f;E^#f59PJfqYQ0?8e0t<9mP-@y z5&+bZ%!0Yr^IqsCdp*e!4`lCs;#iMh)glM&Sri| zjS`tQy+$${mcu_XKJ9*;ft)rrKNh|Tt9B*LVmfJ0F8Z1`V{q4t!*QZjgu6>yK|u3U ziH7_E3MK%P^Lt-EPYq41Kc^U;?|4Nzzs;d`b)fl>g~gb?MCv=Fx^-Acp3WfM|MCXa z0(^Gu%4p_SW|bm1rV+&mCfLk?HqxmWS9mX>=(I?BUTwcMXhcxKwTLw5rCLBp9_`J~ zIqTMN*c^Ae;@Fq#toye-5Z``%^cODHd?~9LQmkg($H9x>tEdy$UoLgtSi5QW<>wQ3 zKc4mSz&A^by;qE1rhZ+Xz(ZNh5}x<=z%bgqzmVK8F07QSFdq{b^AWZ4btQ8h-A*h& z6YtSi$INtc}u?2{P@SFgP$*nBWv_xB-6lM<4>@Nd6pR8e6%#_3O5m%E15)s+Qpw1aJ? zO;RpZf9Gl&dUG>1-%hd!WG}z9BPXeU+2gKWIhj}R$Sr4V{V*Xj&A>Tezd72%djJG0 z|J*odkPgudLqgAc-ZYN^=by9M+aYl0*t3k215=;!EL$8pOJd%4ww8Q*w7nj6T~(l1 zH{?glC(fxmNSbm$xXlj$1asf}4J($v_o^np-CjxAIP%4=;zUPVoPSzq%;?yH+2?;s zCW(Y5;k%mkAJrI+k1awbweHKu#dyZAtXQk~D*HUH1)0&{#vn|nu+$CTgxxZtLM@DCUI zO+VIAP%M0TR%W;5F*nuYKGt_#l>@~Q?Ot^eOObayV~CLhuUao{y8fZm{julC0wwTS zbM#toT3^iJB@i<-28zsA?yRhPb_sf@Jo#9D+9i;NB-PXAzYUUPO2xbaj>mNjk}r>G zbqOFShDi{hBD6g+qiR7?^(66?>)2{o^GW=Q@M_Tae|-m$Wf`j@L7!=hDM*oGnuc9*+{!NZy<35$ z8cf*7`s~BJ;68oS-rSsM)tz_dXlAgjavbfaBm<5^RY>7MpVu8bJ;;7#?%93Lwsz8+ zdZS$qStlAV1+Co`wKm~zaRqCGySC&Br=Gr!Ge0ZlzBv-HC(pK(n2yXAmCq3PygMdG@`&y0#Ka%It^2XwuxYx`R-$^0Ov43F_WUyBXo?&fuY&R!<{H+kBOX zP%gZBaaMim3cN+wv3yKDMlH_gV;cn(Fpe$6V?W3D&0m`;TJbX+Ti&<20YULfs{c4I zh;fryaJxlDmSrMx5Kd*08b{;c{U5d8YkdS>h*3IbK&#U~#Bbom`lmwmvNc{>dQD{r4RSG?dYDObKzLL5ch1;%KFb4R24 zR&&~ama?*M%SB+Jcdap2Yu?^!%{s&m|A?#ky-D1lQrwkHwup(Wf-Lg zu76-+lxs_w%_;Padl`_ID~HyJE=3BEEiPv)bjVNpk*zY^H3a_@IweIq_u*JMCJdt% zjM-pF>p;1KUTM4!H;W01J-@ ztGw(;XdQtn2DZ`|GybeK3pxrGU1L$T^>XjX2`@6b%u9itR}c-kF4&lrP1*L6XU1Ln zvgv;0m0=_0hn8EW{3F3AIm4x*?q6VW9OoS+70%z_lnyH|s+D(jaIEqub|k-^2<7DKmuC`7qOUWBNP% z=5iwgmyL2wM}f_B5Du8j94?aE)+FTmz!#Xz5z4!Drl~qJb^#@Vf1CxDH3nH0R?F$) zVUCYVs1~#S*w6P-o0>ug__al9yk8&X{{1G*@+PMjqFhkBIe0I*%^7kglBA!iOS2dG zpEJOMX&M8Cm_64j*&bn80&n0;4inskJFW$sM*+D1kr%te?_|rTA z-ndp>cGzA*wwWro>lRUQ*RU(PIv4eW=~i0nx#jJL9^I|O1N2awPg)CfAb9HaJN;Zc zDYzqX`vE74H%T%@7yDV2EzW&8bie);(11Na$TSP%&=&TqXOjkJ<3JwVg)Vbnov9Br z)N$niO{KguYoO!`@F(#GGw~|ZmchM`pe&B#^l2KpS5g&#yBniEYh4IL=VsV)vh=4fuM%I4F_6yI?wf{NHoK+iv5i z)em@45nX^>+VVU>sNrpMy9?{$RhAyukU778yCs*(fuWP&t@}LLo)OqK(wrt2QYs94 zk>C&@qh%Z6SI;5_Pv_=(-n(oPura?j{7zk~C^jxTMkDg{lU8sX-<(C|I!hlzMwjzj z0M{#u-SQj21{#8mOk?Fdr+Zhf1~ujj?l(5+o->>1x~^qy zLZr)UUxC2jXCEC7R^14yZ|?eLJBEH&NKC)?C1^CemHu#7gUH<{oDeQlEjs#&6RIlX zgq+SHxP?lT2|Icqn9WjrC)j$S2TD=&|!O80A%O036bbJ#V5q}kM3 zTheUKN?zpG!k~BMUA&zjk&Yei*!k-UIA#S#N|Dv`P!QWboS$$iD%;@Pmoe+tYt`iP zR7SP0)oK^P1d)iZ(sEhQEdEO_Lf4+|ztW-}?s$3&3+`Zfd!K-jFnwexpk-ewi_I1z~m%1Fr5(qP$1{l)6%6m1Ji<|MRB}~FdQuq(;@aGV_BYA z1_s~0`G$9Dh{_uso}4qY|8|qy8_Wk5f^7Vi(nd};>Ha=_7w{h_cRgfJ&H1VV$TpNX zp?7t8QsIGCN)5*t$X_OxL=46^fMBwef25DBBaULr_KCQvUx{-!uC5Ga>EM2aGUQE8iMoQaP4oqB z4sqbRGq@#Xr;u+vZ}fb7CwNb!Q}18NZ|Ao+F`GrZK{N)1Uo=7SpUeb{y2%q*@?>fy z7WWP|CaP#x*gZInA+?fRrS$LB9_-GZ^CR2Q>ci>F!ux7)qkd)qOAE6D@ro~etk

    xf2gnPY4(H@31AMCy_jWwL_Gcq@TRv+eciq3&kwg=IShRvpK2xJDP}h zAb$~W*e%}bq8bD22X-U;wB2neLQ65o;$7$eE8E1h)e)auZb8(-%2ofQ?L4pxI4ZM; zA8e$$#9-$_oE0wTVJ>=_y7wvn`Gm?b<}l(Z=Nm{?js`H?%=KyD>8OayI8ZvPVed{# ztlX*acktoV9R%$g3aL)=@J7!WSHDcKshd>eY#@GG>qY|SQE5W{hTKO9R6P8X>EHZc zJrPCMsJwd|xb`NthP^GfvMOYV?dXBeD}*q+aO}Toiuue< zEA4dwr?r5wzn?{m42P>Uzmtf;_8vaA=Vkr#AmY-dhg0qnn%IgwB`^2=X0B`T${iNQ zyc9F-)r#%EroSxqqrg1=ru2F>asLq8W`~}?u~fp1?Is(F+(Ev0b;^dtM2SUuHY!ES zwTV8C2?zD%jz=$|B@Ah$J|}PO^w`6xLQ_+31=oKYDjE~fKWZP~ZnS1Jy!VyMdvNQ! zW#)U`7fMsRIEYbL*u_PRpTn;jOsFS7&Tj6%mLON$^M&WE#T8$U!wHh?f!4>tb)i(; zEyW}WEBp1??v)TdNS+Y2Cn+Z-*Tzs^omNk>*OBw=s6W>mqRoo+jmK_Cmy_36I5#6b z9VFMhP_qdzukVR(r=_>#Z0M5XAnIDY>VpW}HLF%Nv|W3|REb&nL=gDdi2k0C!ptrq z`lG@I&h~=NO?-1nzjrsu*S(vdU?xZbKP9h5eI7=&A=?YcQF>OV#Y+zB75VwKeG95C z*ebtp>_bCxP^71w^lr1wl&1T&HPIPA;&qShg6sxrcz~RAlz78TOYoIbgvQd{SpShP z!8y+tGy{GsyXQe=)lpI_S?7b{0O@;{DwXkDx$L8hk**h6!4Uj@p&+hhXe7<>MvJ6T zFw}OF0u7@bz_Wty2VWI0syL?!t})km8CVo{{}yFPQl&`lxuJ~eL3CppSt2Sc7yxu`xHKBuUeAjDpk(>sZA5t^}>?B9g|lk zvl6Ansc|J0(}MfM=JUf(f;k2I=?hkznAsP&99pndY;@cuk=*XGWtfFq=le1ED;q2^ zN8aM28%hytQ~v*7;U*G$$m|J&@L8m8p-O6`JGd(tp@`PBxDKURpr*WFtqo{u@vGbNVR~J8alhUujxlMa`1_rZY%1rx2u+y?WV1h0fzJd5*0ZZV>-Inr>ilm z2KuNgRqGJeaRoXGgVltO*M-bQtH`3Vqdp5pfE4%NO7Xed{G&+{oyeZLHc~__r8#r* zJGg5GQH4!4U2&j01R%;I;Bqf^29U*-o@Eck98D^X1U6^0JPNB%wdKC}BtF}RxiWn2 zU@RWu(WRs^{*F!#Pw4+UNmg!Z_~A9{x$rB|Y@g}00n_9X%vUX@hik!flms&cI4Zhp zv41v4!b{a$yjJ%mN+VcUNURqd`)y&q{Iuj{dCgnv?(K~Hb@B!irBPM1_JrkQx2SVR zs_uk2tT)(VZTv-iLztxACd)=QC`)Fp@LBe)x-4+?BacTN0tYtFD={JPKYzGnbMP>?HnmH9UXR zY~l9za*I2JEAk4IZ^%};=Z>sQ&)>h3?tngyeXl{qU`XYdQC`VRA98(CVAZw?r7s8S z=aGH>##?I;%{l%SR%V*?N2!ibHlJxK9~&-ZVU;7JWGL>dzrY4~qV;f=Zm*sBqNicCG_sLmWL6CRGu{0TLV6VFYLOPu(zt{@3X0)`__1= zQ|uH=HZ>l6tn*u=igi9nZ2$MO#P#BBF;peFuE%5y){K-aHIvU!i&_ZCWVWa~Uz6HS zeWaWtxA690LmvBLveA);4zBmU;WuUIOGgjx*zRF~i+X#e@btmxp&%);>qNH`^6$sb z_ftT?$vE~l|3RWpny^MbM5X`I13=;xQNn22T_}NS>b#T-YR^=MluA7An(~Q?8?~DF zrANu{e!o0#4%!4iZVsm1&#|<>1P3A`R7b#D`DLI4Q||q66SHmWB%Qfy;IqFlND2Y{ z7bnc>%TfS6zSnp&up3LyAv{lG+iHjfY|hptxCY}3caR-;tX_nYN(TUdyV8B2g_Ydi zw*EKEudAknrg{<4D{@{Q*u@tTAlHek=RO0gz9|Q-Yl1z~n{De-*Qsw&vqXui&ovm{ zu<`$l{MR`=TEbp?n^+IQIH*LO{;FmWpb(QPfCMe-k?r9SqxSZHKuBAhwR?1%hxPs| zR^9pUtJ_LCu90gl=wT-(ZOc+D?D; zfOgA3AjJ@LN;s(>dRqA{R1L$c+|CBSZ($?x08w0Q=_oL$AS6kijFbL6&_t>E^#Y;! z2A6C2p2GUueq?@LX2QV+ox4(FBR>|^%qc2NI4X)jYf{il)%k8a>mR~(CE3uaCe3#$ zO~tO!yww3koy4+I zNQ?vD>F06c2G~JCJ+1Nl$#7y2qRB7lQ0K_EIp!(C&EQ|N`HY*AKfOnN-DGk1nr3VA zUtC=>El;~4Leh$v_S#ggbW&A9FYpQsIYg_jhxgSr?Z@?v`y8A5cu{FbVM^7~ucL#PasmlR0K27E zhZp^IJPQv)Jx^7}*9vnr0K58I24zKkq^e8ihGI6^j6bT{PJjOorwMJD^?%xHRf}#oZF93p!$p26%w>w{FW^xxF-ft1 zBn2)%9H|tlW@@f)gIe}d_~e)mjn0W3NE8XcpM>0R+QZxlxPB6(sc;Ut_^2hwnOehq ziptzRIyTpKk!=Mjf<~g*b(mHs+W0FOkNfy+(?)tJt__2(JAEwc5LKaR)JfI*AG=EF zDUhJiz8EJ9KTQ2wA0z+%Xp&yA!8s0j|5xXaM|vTthZ5^AIjahU&8Jd*yoKJ7xGf6u zbnS}|)9JU~Us#z~2oaPi*quLO3cg#|WL;6_p%5_{x?{ zN!c=I{CCmD+LZM`df;kHt6iS1?_Y|mDIH>yYt#XnW-y=9nENtZk?GqtQjt4ovb%|s zt}=KdQx21rX(|`j;=D|C#V93)#niG&H}7TAf6{@#DT>Aj7+#9o)|L9UHB@)@)DPvV zn%G_(ot{TUMz8zN1!PGdM(DFErr*2%t|{@2(qbV%R^jQ73J3JOd=JPsom0rGo=rbDiv7H+3v(0NdcrN@ihY5A) zeFw;mjx{b;AhT~!lA|Cji8P6tW5ffyfx@lLUJ=7oD}Ue!F`P}3i)s_;;{$W5y2yQ?!+&9Bx4H z+v=|V{l7;1PougR-K>Sa`uBs`8;RwpSo&d0MdF;^$~dPD&%*!TuvRm#3wE_Y{5vTN zW5MNt@}q$7*335&y$`at-U%4p#4AmJzK%1(llELRJOIR}(O%lrF!b~`I_ zl|%O)T?uJ*#Pw&o9g4O`?6~O9E_Dznwj2#Q_aXB0q#o>QdZVC2`{j{heb6y=f#Uj* zg}i9MKD-P*b!rEonixZ>XF$wY$h$uq=92VpO{Gdq*R$Y`xqViDJnSmZF28BF9O!nk zdpXTmr2!HHd`if z-?igv$ulLduD{HSKb$)lwWoOPV08bxKNF%$sb!VYSt?R>-bRrapRt#1rsgZMo|AQh z3JV9r<_kwoS7@}ZOiLer5-PRKuxleF;sf6)H>@uEexzXMM-?6@7b)zK2&#Lzd1a=c zXu=o=q#1)Q?#`xy-1dfrb%mX@87O1@x8?&O61%13cT1jpixzwEhAjC-C=m6Ked}o# zVixz*9Z`lT;+&ZyT1~&4DK3d!JEgHw%ha@8~Xs~0<^&1sM}@hdj`a2O2h6AgDd6Zw8w+zX z`!J|6dav?$6TrA;W^25Hg4_#wivBut++{}uLZ!qnVf+=!<$f~CJ3mkgbRI7rliE=) zL=eoIEJ?qhjN1cnPENR#U@RZ?Z0ALNVplD21p?aE;hYT_CiuIYp~k78M-52-w)Y;T zc%VDi)y6)}k|&m|9gIa~_qU5Ggku8RP#4q)vgi@)JSyVg#IHdrUdK?%YI!)Gh{r!$ z@w{Izu1(8ZnhvnoqkaNX|9L;ILq?PkNC#w9DJGI}tL@7`=7cfkq_*8lA3aYi9i ztr(}P0(4G4m?ajbPY0ibOa-(enS8z4*LX>ie)+yi2iBjffqt zso~x~iGmwqclf+Eq?)g%$2=BWFI_3P?jbUxLf9imBgB5sqxHi@x;Fow;4t0ku?E2L zm$ocfqPzEB21zi~i*blO95lKHZ@~)Y5Dc5$x z?d)UE^v>-$(N=2Xc^-sEvqPuc>K68*thB3dDIB}Tx~yap{{07T>^Q>%8aB2+e}JYt>q?Bn8&?j;lNkIuc)={0&}di)a}3> zr~?ODsN`D|mg+Uov4OiLmF?J{79oJ2-1ziUO4y6bhPjr*Kt*yJyS?W<5F%{5FoAPl z^t-f>I>ITYUL}w#pUo{StWS37ljF4Y@hM|gn>lTLa;0$f!rdJ)&2W38teEa{h1c$# zk3)(s-tszmnA5^HLhb8U;iPCQ8n38hY%{c`BTOGmrH_BoJFvZ^YaU%?PF(27nDXnKr$$g!K5L5$6^W6`f@V0{7-%ZB;84}2HjV4|JWkIc~Z8J=UVWtSk@nw#^B4OIkIUc3liGjK@ z61r`x!Agn{-kM-6F*cR`GQ5qms`CJ6z{!GUV%7rt(4oK5A$*iV&QPp=5i5xv}tOQQAwkV3n_B+pOe1s1c zk2#Qap1?a;tpBCQ%lx*kwO+Cr+(D_2t){Ly)5A3qjZu`x0EikKo2FXOQPOsNeU`Wt zsTLA@jQh6UE)pX-!)iboJAA-5t|yEj z6YbfxynYU*j^6ta?%__Czsu!0r-X9k6aSE;qd>udSz0chA4mNz;50Q^7b$eN_}HBu z`updknZtC4PnQX*$)SlpgwK>qv^0%(R@Fm&onizxFhyKG?Z|CB)~hu!_P*lE>((M9 z{B!=t8&q~Bz)fJJ#^9AR+!LBp^c~_eu&6ijFx!md5FS67Jiz^1rw;XR`Vc3|$h=Hb{GSo^8Z8Deox; zjs!o|{U=82!zZBU=m=uWP6zIOHy?((M)rMqr;#Oqe6FACS#<>zY+ZE8N`AjHpq2X8 z1V{r(mrc-3iVJ*OX>)jR+L$Lw#HzK8cN~KPo;>+THvbjlgp_&~I&PnNb4$PqiT}HE z?cUCP(>?mL9_eH^hvq-;y&Y3N`hHC(rzf@JvCBmnuM;B0`amMG(%5W&lf7))F#_aO z7bd9&SkDw#R&XRZm^h=95(;AjxD7|9?gKbyczJng$Dc!+_HFc4Ip&6j9}rh9n_B7*5d~xmeEcJ`DnWTrDL8@B zoW>#DC#+k;ZgXr90#XBgH>30i;l3f4Hk{Lc{E2$;faaS-pZw1hXLrDf{KizC@&&!d z82NT)_DkDi+(r5ZuQ~vb=8%SV$oER1FAFPZ377*dCdW86>)_edia8mM#&x%7tFE}F z(@{Vtn_@(31Jp4A>olwGMAU!mYATn%Mya${QRSEuvq3Xh%OIWCYn%yR*e5T=)0wr4 ziZZ;o%EN~!w%1!AqlC;J{BE?Y*?Kqezk*AJH)vsFH55*C3`H=Xn9&?~-R7IC(hKdU_sK2JXid4yq=Z zif|%}Z4T?M(muY-ZNB`f*_}Edr8*ihL=E)MPUb1w?A7a;KH3mf@5~@AdgpHC0aprx zCZ(Fh>zXe_w-swb*}z@vRnfk}L{=b(Qy{(DqY;Zz?m8X^ld^tKvir5QA$p3VyVP|J z;%TIir3!M+JgY2g8*=5h@MW@#B6*f9j&9{^9yGSz|g~1Qw2X8b2BpO?$KDT2+)Z7py(?s0+b1^ zRDI8l?Tz(WE05lI1D>0P`F0gd~HrS=19WxrH>y~`w z1uq;Hl92PR+;e=^qsQC2imj0!;as>mf~AJ(w5)Fjph%g`U}z8MJSK|vwTn%=P16$N zC$fa$BzOCA;5tPYZZtb2f%;v-&r(T^H_zrlvoav^9mkm$a}Dc_5yZ!MaSz!=@U1wm-1o$s&o zH#pdD7e9=|at|RY&_l>gaB?G%pLnB5!-Gy{4@6cmn|sartUS>FzPx7eC%Wl?A4w8r zBNVc469gyjx=D)nxmg@DyikXq#np?>tpxn48G5(w>_Q9)wO@=U+psBlh{7F}EDTHZ zF-Ka=ORT7b9}#Zi&JU1wI8H*42Tt8qFATChSoFEX=Fm)>6pN%hHo&)_EYQWV1WXzf z)i$jzdYtTpeN_3yolF0w14raYfXLUpy&N|H=EUE6mscT)wzC!-GCW*Bs2ODLtb}F1 z0rHHcvXXDyR8B(i9qocFzpku6Wbo_C{21TX5AXPTI5jHkBBX~aC1~cNh^~fumXEc5nq{4U>H^c~BugaJCDaggC zUV`(P9=WAHZX&VPyYOu{Z)29r&Za}+UQYc{uc~t4EYJ8b!TYkez~WVu)?yydRy3@C zW~Xq_Qy)o(uI&u1NW;OQnnd#6_48sIS7gjM36ETq+9(z9Kb>er@^J#lbSC4Q0Ir!S zqus&XL#z@7qQ@V+58etWX9Jr4)7{N$^zenYSGBkBD<_tyP%K~3iU~&@ zCUMh9+DnxkT-1riqJoqm6(c8tx=beD;lh^}j+`!4ynz72Xsn?41px-P=@^3qR-xnrx zD@v9_ZyU4EdU_6CR5&@F7=-^ zC3jhHtf|xfN9l0|K7Nngy>kqt008jEx0e-NU3!P$LSb>VQx^DNaF}=B>>|yrX6wIC zvyHh4YBcHU*&d!@N@#|$PAhPn5%4uG@t*BTknSQTb}t#_<;oP#=(|&wB#Jf9mY5T2 ze&0BR8}l;{&>Y+oU+#1ae&e~qdvE_k12==6ruzt=tB@m|I0f3ra5$BZ zTb@zJ*b055Ry{6dLh3;%6l(G6yLy~&HZRiQnqK0~Q~A5t;_TlO{8T0E_@0Y=pYb>jWxr;8>59w}+d zV6cJm??vbB8Zob|13*#ebLQO#fr>lqZTLC4f-T#Q?At-|32M^*dn!Hs(>a;#f$W$Y zn5Kn}W7B@^SJCdCltKEp#DrMNrB+6wr`nr%pLSp2se~e=WBU_`$Z{z0?jgz0*S!KP zO4#tq*X_DS3FqqMnw5;zy!@|fpQ#N5U@ft z-0JgS85j+R&Jj*6;8%FvZvRfb>p$KQ5JVi9z!5;Xa zNMi18+$RO1H(?HhvrJYqrMnBoVr_mH>l{mfAnl!g#86(XiAr-5H-#CUF1x@dXX?Kh zoab35CO9nX5FD+Poy48^LhS!slfF1c~mI}|Oyk*8tbAw=1;5>R&Se9Fxg)G=v zb%T{~+`C$WTy=9x!W*~*CKq;AP$f;t$mv4CLAH{7p&S_8=~nd=2pA?_g?7 zAbSzcQ2;EuKPF$?$J>Ll+5sJ&`g#ss{%G+L7k~N!UY7HYdGSbj?IrUQQ!hB243&Di z85Xy$GB>0Narc0Twn~dVt{nv41r%&?f&2b!>gE9<*4;jF120D~)pFUv`^K5TV3ZTD zMq?gP9OWCFuTfMgKW)K{E>B^(BYP#e=fKz~Bnw*WmG{8v3!Fno1wK4ge>j#~98Khv z(JpceSEnskb-*FR;fU@!STJq`|I0{z8V;)VppgUvOuSQ~!fQ(iw~D}|iyXRcp6dpF zS=6u_ioD9xsxvH{R}!m&7B)XKxO}R=k&7}N;z&Nqyh2W|0aK)$ef7`=Kq$ z1jB+1v3K?}7Cjfixx+=f%xKRw)-ddAIBh+MzJOzCfbe+Wy$+b*W?)QTIq+&`-{3Ug z|45EU2~&q)r|+v?pejpAcfUCE_Jy9t+_Y9k%XKgilhGkCU@d@7;rg?dulvILe|XFh z=_P>}55SreKAA7`=edVV9b+gIT$Kj@4Ibvxy-4kC*!(e;V#`1!nff-p)aR((wrkX? zP6f@TNrS1FjBk2c))5I;z-%n!(L}0+EN?0y?gZ-`uiAZOMI^ir_UBa$)GhnCVw@2iFBKfu)lFfXI&M4-w}u7hcr&Gc8LXPbFhQb7mh@CzTn z6@Qzn_1xFk9=_iN)U>heFeluCvCj1!9{RY)-)2)}icWvMm^;cDg`nScI6@aVCH72u z7s9_Sa^RFfb%`rl=V+r~+&9PW68Onru+XFu^T%#(%C#0pXNAAr>I_Dn-xn;;l_3UBcVPSLlb z5wcL3dI7ou0ar64D~{ZU|1JT#VZffiXLhwONCm?c2pCx!W3Xf3;XQD{4_y^w2u4-l z|L5C=&xiSBzg-0CvMTJ=VD^C|nEQ(pvRU*a18sz@=U|xh+cixs=;8CT5~h3eIrx;h znrJMSjJpO#JH8#9vB9XkfY@gf{X>^QUQ*Y6xM>4uBFaeZz(%PA z2-d`|l?**M)Ky`>=_{}m4#QUdS?H8M*VWyx#5VDHcFVeMz_W9v67ZT`9bANF&WW#_ z70Cm$ku1)*wK<``SQSV(VQ5r7CJO`!oVV2*&=n?WzpjO;0%9!g6c6&G>ickOq@l73 ziX*}YJiz9{G_PHpCGD6O?c>c2_V+Z@C0f`4UQ=K+` z`A7WsmN9<+^Oo&uZ4aj@@t`8$9KPawv_nT7yxB9WW3uaoqm|w>aw5pzwNfWz>Jeq@KWc1vq)W zI{qS=3(hC(+Nhi<5g%WGT)umey9feS_w@FK}w-7f#$GoD0odg3&zu0jw<# z{yY5jj$fm2P1ayV(^H1$Jq8;q)8v5k90qd_@CQE6+C!gqHQ*kkz<}H0|9mRI?SDSC zC_wz-iD=`5rV+_=Ws@#YcMwcGWMxxS!#JCQr27WHBpebxt;k71{lX6n@jsDbE3qw@ zmr)qWxs*-Tb2b9R>iYl2Xzp*P0!cMnL@28tc`gtOUY`Nb( zl$~{8;Rc%{2|%x%rg`(86cy-saJ!D;I@mR_0~-hCxqG4IzICULA_qHgP#gb7eQz+A zcp-QCh8b^$Pi`(syN~C1_UrFW7k>wGPq=zaPvqI%%#QY!<4@qItfw_5DgX^Ka=?I$ zx>JQOKMm46=$3|Poqk>!KWl0sdHnew_sp|jfJ?ntGHbJ`rkS}Hd@E!}2L8CFZL;^_kW|Z+ zQ+qdaGnG7{O%GGKTS|^~>*1}b7`bF49P7)m!L{I*LV0b5>Z?iU!WT!glBHS?tqZ!y+?mq1!Es&`OjcpI;2Ii?>wa~&B0qx^4XuB zj=T@Im>OML{r1*z-?${lde&h*{FXzmTWn@dagAf9Z0niDD?;48{BTux;33xt26SuF zK5&nOP^eS3r3N7QTVq?IUn`K|Y&Se}amaS`C zDxY{Tx|`vyHGJe#`sk<61nsZioC2pFidkym1(z)B7?Kp`DycEJ-(o zvWBvZCHpcMG_oak>9)2>Wly$*WErvy6)K@3%ARd1#?D|2&-u)Z?(XXOe!tJ}`8}`a zpI^Ps>vQJJ`J8i|>s;r$uJ`4fGxGhKQ*@*HKGe*#QZ`#)p+#uPHF5)~X7k7iZUd?L z4Kwp6Hn4SU*N)j$Z9@^?_!ioZ3(j5Y_?pMuX9eI1Q7IARI~T1Pdn)F?AY8#FMaeq{ z(U)Rx`}rk`ig$0vkJ&Z_oTm8G=to9wtc|;2f8Xm`K(7(%)cKZdon+_JSPlyp}?b0r)4C~em{8YJ5(=|?@Zy-EcPW0$0fbOPb*x~+N zFEUnaFX6QaW(OD37_MzfiTtjJgiEVNpXC?&lh`Tk^I!_0c zNf)Z);ienbjBAAkw=6DtmwK^c3;RGAk7bj|L*xT~_9y$l!@INPc}d4soVHu{_Z2Ud9RCOY1J+MkD9%~o)+Uo>7!v2!byk^ zG$FL7OOUcG_OZ}wNN<9(*G*qr^{njAu^_4b-A(wN_A_R~>ss^9V!Z`A}$21>;XaShaUO3D9L?OmFqM+&^i-L- z78Eb|9m0N=dqggLjgl}&C+9F*ST;C$4_<8Z71=!#7 zZV6mo*Jc>R;|=Z;Wk!66*Cv%Tp}pJCku4G;8f-fMG-=`eY%&a7Rc|xfH3_)`RI;8w z-8)Fk^b3d4?RU?=3<@U=hYj8num@*9XisZTOelnhJ2Cc3@+%G@atlgcv!F>}rPKQr zr+i@e#;`*8@QNp1nnMELP-pyQ)jr+{GR=6lH%KKm2XhwMH?g$u!t;$b-Oq6%jK9Xb zeN0!aW4I-wI2s+q0D=gumvNjkSem|5r8*vLsC3p8Io;U^&hm6hSsga&5S_XjXbIQ} zP5??m*Vjx7Ocy{`Q8>GP-&fr_d>-uj2fJ&}9wrsgqx0|{nmu~Z{kyG33i(3djOTFZ z;OQBzZs+*4e#Wj@a7mi5V@p13(o9I;_$07TpDySPLw-K)K#BPYV7YsCZEaoE!Nb^} zcd5>M@p9L7YbFj=Xr(sX2T&dYqC(WeOA0qVQqI`Z-_@$bchCcuqSRIG>$LQBr2_Tj+-AYw(;9=ABIRZ^VaviCC%HG=MHs2+N-9eD3j%&A(nmrO7-8 z>(PIrdp>Ye_C&G#Gkog~PbXpG$oe=fOPkLlS;YN*gTWT!mE*c*F$a9Orq?t%tBb00 z_3rnTs&_fKMn{x)tLRm5(##-^cqc3*og`DZJ5r%hBwk04N4^MNNz#pO*7N_IQc@dI zJ}prjQW6&K-#FGW=Mo>aiO8+tjOHn};+(tbaFpjW~%A9NQ)b5l8*Np~R8g-hq z@6fDP=^&;MmY=+gZx8JXrNxpC$05*B)Hl&5f@;@~r1hcd{a#r4q#v*}^4B}?FneMZ z?m+11lI?h-oi;yrnB$=;AP&e+buDtmB{R0i$bQa#lzo3@c}IDWg5F)!=1p=Id-!e@ zJg%qjNM4C1`Oqf5kGD4Z&RC@`aDQ&8T3s#j+B-Yc{a~_trmpSN4>n<(m4xT~e&cPO9G5D~$yXRT#UK$^kAeK9k`5ZpS%7sYJ@yQBxPdVtI{e&ic4oQUsi_bG; zs(c8e&&GPeto&*5W(Td=^Q1oKCd3RI)l`bAL)~l)enU1TCw5P<%G!+CxNt;e^i2*% z2QYYdmr9W}n4Edtgp-M{*=7vQW~p}%Q2D3Wh4dRclCfdTnX0R6%l(vBGEuU5q0Ur6 zCpzzKqQ_l4ZAt0noB89)RClxKRXw!xT`MA0gm+Bv*}Foh(mfe%ZYq-3BCispj8&T-`WKa-@%02la9`UC%qQ=L8Fae%T z*VUo~!)aT;F4^u>ztxA|^hbbW_l@&Xp3<3a*E_pQPMFzI)y;a5jf+f9T#MDk3%)q*Kl-`k%j(K8H!2&cuNJ@T;75dbOP34~ z_fTf>j4FGxEf_oThq9sl&5X$-N_@t2rKtx?_ZF`k$3C;X5zB1Df;xh?V{yt`?KQ>N z|Eqj@ptl<5i_?ONw6@}m5?WKkjB#b{)QrB`DGKpRBTm0|=|SX_75H(UFejNRHPgS8 zjjPn*kMrlc1}|XpCKi?7Tr;5E$)gsvyYR{iH6~tges3)FC8r9{rNMXRo<+s<8i8;v zKhyJybKPOs;hiz^MNO_N9AY9*#zy&~JlBLmp4z|qdUr-{6Ec=Nb&LI5^4v2ukJE|iSRey> zvJX*&i&WyZA@^L8h;U78qD>#MJcn!B2iIrsnj25h$U7AB=<4MXQd7iPy7ym{PWc4I z%aXCK&p^#@8r`^q^+2OFDGBl`RRy#UCzq`e(E4~Zg5#dBjdl)kNuffufwd5Mx?Qbw zku~J6x|b1Jw!!)bqwZ~`nsG+a)ZCqV(k~gJ#*A6>grh9(-8dUm6M3Mnfws{5c_RMH z&RBWkSQByMWUQc4yvj`5K%U}TI3x_&lQQ&YC1I)dJe1xsVZ|B0?YT?Hj9EXGXqM-{u1{^ zCz|ykLzf!kdp34KR%0D^_eAP8s2Wr{ebSOiRC9O3ehaYO@nmOnR)|{n)(~PqbYi{e zxYE;FBWEM#R$sWk!}EKJbwUMJ>$X=Y6+Gy^HxfM7K-zTWE=%F~b~M3b zOu@pui67;;rV33tw$q4ina#8{s)^2;Ax}>*)m9!w`#$%#JZR{Vvjs%o%T;`LNploCO3xFFDXwAELksAb+~y19;hEm zWwgXj*nobjx|>%vv5>z9=NME3HItu|#8X_xq;bHzV>sFE22+xoE!4h?&$v?h6y?v> zypq>-F4!V-!!FB3G4Ly&yYD;KDDqTi1$4J>=qll6DWkUH>h&F3lfKG@0SxVJ{9Sun zcs`WEuV|vS!Zf+ekiOdI!<)}y@6P;nR;5Zo(_?%f4^tTM&7NAiTLXhl^w5a!AbY}j z%p+{I3>1sp-*#A!-`0P_Rt9O!b&;P%T)GdmO1LSCJ}}{A7?O7}Qz8a&(X8aMCG-=ikit|=*AriLVkg`X4Z z2qAuTmRNm~UKdsU(#YQ_OMDX!dB&dw)(k2~0G;*W~V%38LLEaB{7+6&R~_nz96m(KE76_->_MWVZ5OJ=}$ z8b84*B~v|hwkp=b@^N8;SP?q1E^Sa`&Xh*a&f6f7ut%(NTF^kneN3OD@I@=j*tsB@ z^#h)fg`&cRdQBe&>e>ZI*3|71=E z&+r=()ZFF`mfhi>uoit;|P@AAY=fIba zL0*(jgzMP6*wWDF#VpePpuylk$Z_xVNW{^f(!++qsXhIERadxRQ&?&!u?^7`^^&#_ zQQPq+W8FJduVK01j9hi|sVL3q6cv7Q<-+jeyaRz82E#c)*M=_)kX+v{?JwS`aWYFX zjdERkG^B?DrQFyQ|lRaRWX;k#)nPNScYwtavNF@bI#J+ zigN`L39On&c9*3o<+OGd=^2iompe9D;nuvj2fi=dqhwVPBHJhBjL?xc%O>zBC@ZM>=Csu=!8DN>G{DLF()G zA6*axa&=>|^ia`^F~k4U^DYBU=TwS^?WCaJNQu7x#~z|b+Co|}I6Uex{vt2Xc(%Kz zcQdK|MCM`I;l9qw7XR67dRqG24%{}TWR5je_RIr=1%Wc2@vX$++X4MRX&yZ+(Xrs8 zgO$RiEimY^spuBoL9+hTWh2zuNpK4!`+}7@-2d4)H-x3aDGz2A?^e|U&fe1gLe{M;H#~g$^d3-O0uEJj-)H}kpxX;?(61hF5r%TQ}@OQ4N$ZtxZiIfIDJmG z)Wfg($j5+Tnc}Oa!$L9|VspuFv1eLZef=uBBQ@tLyt|&w?5AQ({HJrZOW(Ov4#W$W zs|;PwdV&LeUo!nx3ECO^(R{(+mwv(@Ax)MPlp3bpdUZ1vggPY@Oy+i6a5EW7;Kw> z!K)9nv+oyFa_3$kgjW^$*qovme6;EH0*0|M(J%ay1kbc4Bu5Vw^G%caO>AvyZ|&mh zcfG7;WNDKk`G>%Eym4D=@|v(FH17w8mNfLn?78~pC>8NzJ@&a3d?}QMrY`#zr2#pk zi;nkq>*#xkHnEiOz^$gky%A8@1M##^*#EqvN^Hd5MoPU;1zSN5zx6A}uy>Qs=y4Cr zR6@1};<`@hIq!Bk2s~3Qby19{fsj}lB%x3o0pKa$Pu<}zhpe?!k${dd)fzeJ)b$|; zm4$C9UVX==m@zylVuwn{vtK^O(YtjafxeG_hiHC~@&U_X$P1+VC{?=L_#Pi=8`#)) zP`N48$z{?o(HOlBbNeYy-aBzuUdQ~ifh`%cA2O=bS`i5fVttgy;6POc5p%x}#Z~8j z=Hl2%le~`ds@#&sq4H_X*hdYbpFC>bq?t2qNk4^s7J)Y9+dou*0miGl&Tz4o1+P+D z_W>Mq9k`EpumMKX;{&$9&Va7(EHaYU_k|;+=UV90C&;VloYZM!r&?ATGVow;Wso9) zToNYGwB77*e&BfE;65|dUc4I?Yryd!Rr;))-?yAs7QV?0Ok+IwSJ$)0Yf@`);>x-4 z1I1TIlIoOFfvhj9g@MCCamedy!VugQ(q~+PZ-IU;QrncBf#Y=B~A&6 z%w-5asxtcRO7MaPe#1kKu+VTvd0Mn^EXffEe!gJ0hZ{DpXCK}8YT58}`%4+yxjDC2 z`I)Me1e;I9+R;2q2Xc5C76wgk(x0Z?0%Vqx9I_oV1CM5Khi%|~0QP09-@->aw3JGmQkAcE5A)bGN}4t^kgRKgCRHi;F~wgxio&K=7OoP~w6`EJHR!0joV z_o}q+xN?&C~>&hu{jxLgiV%nsq!F)$`R4mYYK?5XFU z3%o(La>byb{S|#vUYXDCq&+zz&c`3q^RTCx4?t=jzfa$K*ZTl1hufDS(9{q)@H#{` zQG(%CWqjoatZ9k-=A!7d9O}gW87mJ-724YZiKKoip?Y&B}q^D_Y)hLGs(APyyV4;hU)@ zj)hLR06ze@t%>2pm;lql!~?QGt&H7%LLBTbSa?PDv~Upw^Ve}^$~$qjmi?=DZ1W?Z zuu0K7J)Dv{Jp8Hg(Lig@n@2_wp$DtG6ISBCZu!YBC|_& z7~2N`HTg8_%qkWd(`Z-&dH>d)rF<1*qjB|FX8mFEM7T#s?xKNa3fAu)L;bQ7KANA1 zp@(JrCpLE=YFpabjr)sapLJ$2p)ud4>9D3|dAlJYdOu~nLKfG`lcpx=Fap(>w7Lw6LHpa1xPxnkb= zC^;hhQ(CsQ>wI7P7Q5F#u|61S;@=h_R}?KWP>nbWkb)Yg@TKuP_Z2~mxBRiLVT`EH zH(TLm--^s~F+EcbBx8j*ZN8%#V#TMy^GI%1X=J7y3l<$F6^q@33NiKQ|C|tfUg!quW5bnI;V7~Wmlb9AyzrY61}*EsKWa*b(@$Om!R#5ijB5x24{D61zWC9(dL zNb3BhKBMOu{Qe4;1hgD1;~=N`tyL7x{3#_Y@1T#iL{{;(2Micr*Wc^fc@dbc;EApt zr2CQ-s;@=)!DeDY9TCVkjg6uLT>feWv7Z-pkMtNbnyWVj17X`Km(je{{!v81S-P)i z0HA!r%FiOjt$ext^!r-^JmZE(3EkQ<11*6%GmD+ql}-V??{AjU|2Et0^^{Q%v<@XE z{b%YIm@4C2dNKb1gS-y}>3()dXCww(9sE?;GPx+~0$MkH^ng536NLw=hsxC+t-bU* z#9J3~HuvZ>!$G(`Q{clVf}2qLgv?wQiJUt39mzd9+l1V<-2SIr;R7;rzU98 z*np+Msj?)Oq@cOs4BF!JjOE2<`@`pHi+;2YxWfE6xZVG2GkJW5KpUr@r_S7AQx07C ztg^f`5j(p)I#rjubK!KUPt_E?-ZHDlsg$TfpPifgN)_&*moHC|sib8wEXA5>j* zYbUqV zUlnLeuX>ay%MK|-;XPkF$1ZY2NBY}GYG-s|j>nyKp3`uq1YIm7z8(8e{UG?|En?1W zbi$!4g=Hx3JngY6+hxx|`Kr;kFTKX!+hs0Qlsi^*W@;Oc<14G&_TEV8xa*T0iH(q! z-DPtA%dW~|dj4)~{`IfDMXv3A+xuTc`qW4eMue>|R#AIw-+oNm&`92~bR~I9NM+<5 za%R|9XKM6Uvg6mi7^TIA@vbJK!Mx5gJ+*0U`JDP2C24A2U4~I{j$-0{rE2#_)1|UX zb&f%n{aeV(j^8S#PSV=?`M#a6)Oq|;wrDDbZaPI5N$)z`bFXqwI&F@&r{f#Rhnn+g zY4a4tS?15VqBwt@CxSdDc}eKO<XjX zw#d26=W{M;41LU<^N3Zl;62YhiqUT;+-rKgJax~C*o4JY7q!qw!Hj}i(Pz&uPlhK2 zF3skJ_)>FXb96{cbE5~AO6>w4-5T3lKc5sI6hLPWS}NK8sjctc_SRWTG^ghh|M`4& zy}+3X(pQ`2XPmZf=kQ*hwpOlC4rlGei9o`nVayB?At(L4SejLA3N!y+Cd(>QRD{8` zZQbm>9ANTj7+l@a#mm+cJYB53Y>(O6;Lh2?l$AMI{Se}nB2>AnU>nwsm0PR4UAu*E zxmiZ(<1)5Py@N~J$4XOHj9Vi9G+&KC<33^K8x_yb)?K@QS3@nnt8+WIRwQq>$@cAu zR$CqvqTkGwi#c0rihpyopCOeEURb@HBzWjIBa-`-OoR;LKcF)j!Tmyd!&*O!eBmQ& zTwE3tL&I##;?~C|~+rN)(RN1jw>f~=mh5lhwhQ98$U_3ZCFBtr&72cMa(@--u zIc6kr%+|@u$lJim4KJxmqjesFA7-<+n z8Y2h9h|$$aD=$w+sFJjlv@`l&IBzDY^ ze=mX`bF{Ow^|W=fvBiTn5lCqmoB)IS!pwmL!r;b^=e!(1ODIN5Kqgm&9vUPh^nW+` z6B`(`{`)bzSlQ!Y@)+jO{^jUla8Rdf^6Mwys7{=A;#YF)}bPv^2ETR)z(Q6B?E&3?nW5-;p@~ ztL>l=axfV%zcOI@(J+*}G$Ww_ozVACeG~@4e4=Eb`u{3% zu6&OIb)f{cv69dzAa~Lb1LR~t0u9N_!DMB@XA}~K2A#`735|py<Vke5d6W!bgd8KGW#t)9d09X&D90d>V1UeiWkA1ZBw&m@^qve14W4pYp)b5CZ`XfU%rVpJ?z7gDES-K~IMKKt0JoAEY4`L1aTigPtHU<^}4G znK;p4h>SNO{{Ec-1TvdIGJ8iuQ~}CY#9(E*R-RzWI9CW^P$eUa0534-5t4&{kP3~7 zAxuD^ptrua0ud!G&B^$V)qp%k9xO;^f&_sn1CSj2GckA#{!S}0vGN460O*t9WIUn# z4~a3?%Er{t^7 zbv*6|g4*92#@}u}?|A*hY4OenTYZR&;U+rPPPR6{ zCVn?w>NrnVU?RVpB_OAgGGLV>WaVXmwLqbOp;&QcQ1U>H{~K4PA1NbkAdNwvemRJg z#jGjttU9z8zZb@}FWge~9IE8~D!wUB|KHI1qw!{WPI9RKfTIy*o2sNY9P>-JTpPH5 zR$1@Xvu@I+&7y842fCEZc5~bncSAi_Tc5b`&=qr!;OX1aTxJ@&Q3)fdRv#+At&N;X z*Pj~Wxs?cj{FUL=YmV-+`weM7iUo@_lngL3|Be;l*M;2HA~p`wIRju9-8#lT!H!>F zByGz2#LMR4rGM-2Swo-t(94EJBVO}`G3{Gr2hQ7Ge!=l7dn-l%%JIx{BashdcaeES zwEfzb`f1Mw9t?QAx}@?vErY9WzBoT`@a67kArrp6DaWdiH7~yGy4^VX*v>TYwqsQ^ z;m>%9R>?Y(b@~Eba+EM?im&98^;awI-VWp3ZS>dnK-Gz4jmUu69fl^bcND=B?h$|K zUccxQ+hAT7-HL(c7Z=SRf9!u+>x(&>NVXn_clLy>0^W}N#WpE)3ax6 z-YW}GZq*(_e!XBa?KRa}7s4eoc7KulVdGXA+sGTW>^bf7SMJ}{Ga?YxZf*vndM7;DR5z40NlgD~m(gPrD-k-d+_vF0 z`}$4cN4(DVB}XK|4jGpZUe9)T-h)D1>RA^WDADF>GH}EYcEUy%o#HcbVOr>;#~qG0 zH(MWXw0p#}7$M&IrRFnYr#-RFwq^5(d7jc;)mM+qUWjhv*ZyF&*PdJDE>fxxuOtg2 ztDD4HU2`+qh1wb=bNRT)<%e+(8rQ0BjmTAx#CY=3(%{ivS58M}B1Z6%uGprNa?Wo@ zOdd@R+!8YPkUGE*eb9^*;Th`X8#sUj3isdg5UnTA%_g#Ogvz&cWM2fFpmSfW zVTsfb@yw{n^bgyH z&&s?xqNGac%(ic%271F9%OskhjBmdoth!=XZD^|FZ#I0nh&ly!eF! zfVm7kfCv(# zIl+7}ls{8$x|6TZ_zow3m{2>(Q z>geW;hcQ6QKd=@cY=wJFjZ7Ab?qoE7K%n+F6>TRTn=IgsWA zF#^^<5Mn_CKxzm3UIsGUFsD}pOp`Xf7Xb{u*xeO)q z3lC7zP^|Kw?a5%EnCw5xkWk3t=Q3IOU;4$!Lhjc;-^HMR?E{2fe(6J2R`xfvfKb^_ z?a9df%4ZpQfUke5hepW!LLVB9`DGkvIS{h@>0LPl2w{CM^YXNEbg}hhL~jioFW3TE tgTeK2IB0n=^u!4_I~<7MFg^gm#CutJdNITjNEu2R#VIQKhmJbu{{pLAHMIZ$ literal 129543 zcmZU*2|Uzm`#=7iRw9zJl&z#qwq(uHX;UO2`%cInQkKCXrLs(9sW5XSWF4~aA!9cZ zMnjecQzq*e`|!Iz^O^BH|Nr-O&g*qJX1PE2eJ$_z`?{`M?9SEe5;Bq(_KD>ViR4u7 zlM#^?@vwE?r=lVvb=U8Ky@=Emn};^89*!bXcWfN(y+zK07wCzosqM3OzX!cg@qgZM z-NXH%h%EgDQpP&A&h~Z>MHJv)ulYXI(0^$2&|c&M{6Fs4JbY;Hy?$FZf1j@XrN#X-P#9*$Z-#^5Em8u7C#v z@Aei^f|vKVySoSYO$K`D|855KXXftRvUhiUcwa<@@r~D=T*32-NL_aYn{d_M&f}gv zv~2H(UiLO_`+SolYg)VhXnsmpz-21x%vsGQr5+jWN)HkG_kn?4s_{SB|M^Xwh!hd+ zC`Y_)`s?=Ou$6yM`_OOKC!KXP%+~zY=E&A>_06*2E%er^)#h?AZE)FR>v!;m_$I}w zziw+4J%>t7OqwDHiw{Ys3dOa&-Pq~+? z8|2_EWbh{VcTn9ia2~z2iB=C@!PnVl2cPLs8B~`^tRo~W<&M>xp^C<35%U6C_nXEO zNu745RXcfS3;X&KpFD6?_tvESd@t0NzL#9K-lX#0D)ORGi@i^FP^&q1+OyF!L8x9M z$xb$T*B}o|JWq(DlibN-SxGq?+PC+vK?gSP*KNM>%9XwsS%qp`)KYUqOSA9U@;4lD z>?~?o+B?>*wq&?3;Yxv9NH^x%*j;bFBpJIQ$vxr59QFEO=x<0^c%d8)giwF9Mg$not>e!L-UvN7g&bv-uV@M zTN8at~dY9g(yzwaTwxzJQd<;=yM(^;D~Kq$?9}TPo*=7$N6yOij_h1u ztQDot7Fbjb)_O<7SmW>aw7(ULrH)Y*3x%+Poa1MaWKKD_!S^G5ck&JXhc1w*$)CpqSH!W7G#n%0-rGVDs;Y(xz@uoeE zmkK@=t5E#DN-USun$~`gKIBpb`sm3Xv9A-d><|U{p-Jq zF4pG03s#-!&6}n_3pt_XCFwX(I5_`p$n5=hm`NAIdJd*N{=f><4dQY0J zI2z1%h$=ThM`4&bmDpi#?!TZcb7Zwi3!^&B#;a6}k((e`udo^>#5Jt4VOs|YP92`< z;JH+L4UZc(mM>USyUh&LD2S?S1$H5K4b!LkjC7>WOul0&SZi7Rn_p8cM;{LS_0cVPTr}PDv8MZ3e!6|R_VEVMErfIM z5UV<{gH6Jpin`{y{Irn=nBtaHn(}xjwL$d5o$ROa>5*J*0e!+QY{Rp6$Gd|B2dxr? zd#qBjn(y1#b5(~cI@apN*sc4BEd7q>+X>A;lKpGd8!fxpe0=l6~c1og+d*QjV)4=q{eFS1zr?{o83ZY7p#d(s<*FPM77c{F;*KxwVr!qNyl9!3nE3vC{1wk@N%U1WO8$g4 zoO|m!+c6wITkhKpT8-|o=a1U3k_vIz{s^4m8evR#CV=Cc)avt+C2dJ!>0WQJQe%zF z>!`CDXJpFC(mH!4Q(g!VmgR0zs(mFS#vQySoa7eoSgJG|V^y&&g)}~yA1F(gnXi-Z zdp|uZ&|Z}7n(~u~x6?{>YqO8*tiCr?d@18o0T=fpY^Sp|N5ql0S2_%_%c=(6FR0HY zM8E4}(=|G#T{xh~Wor9^mBdGk-s=^wk^jUq%(NQ^o!KX=<7^UvaQZ1dMdfwb%s!mB{XTAS*;Xy1HN&~ zW~p;UcE(r4$nS*JVkM^*>HO`f3hZ7|-{YY}vujsj0790&~vj>6zwg_Kg(h6yk1>`9PSFK@J3+2cMkSm$fFg5qXig zhnTA(T+3teJgdI&0x_Q?O^aPt+ZmZupMGlMkXOt!XG3aWZn`0#LKi*cjyef`?CdO; z$yc$h3M^5Fa@1nX(f&qy+>b%Hv8*`^oh~E8*@I69`+Ylm44=7fSUsp)5~@cXn9 z(Mmfx*hQFMFK}Lu;;T+5o9M2cyhE7g6fJ(My-B?v)CVOzTmWKUWCM!8@jUL}3;gYe zqqepK+2a+r3_=3JjUVp%W?9Sj#l5ZJ`@uDyD^QFp-RMKCPO(065bYSoT&M8(M;f!& zm+ro-p0HP_0^j*uSMq|LU~}KGBw=7M2A5Dt$KVLZQhVW;$DSz9Od$b#6H@4zPxU0VpJj~bsw^Q%Exv{C%v6K|4V4GD!&7GJl>*>z3 zq;FT{4vDk%atOw!bGK${LmKb$TQ^nna9}e zc8ju<{HtBT5-#flmsuTuJ4IcxB2n?10&_)Ff-crm%b$;Q%`}3(=PW7>EuP$MpDjT=%V~*-r4Ns{$3SGnpA1WZlOv zsFpKj8`Fx#!g8gZZ@A8#tC}h-`{X~#RRiG{$sGMhTEAEw`dV18IRJ3?Q|KYK?psP#d&t8?zH1j)?Tbh zU#p6(3dq9(wvy8pj_9l*3jb2DjL#V) zYVBtuKkNO=&@ua$qq(1^__1pIm+!>WM(0K~$g8|k->U6u%)zt=+nR>=Kh6ETQdXUZHBig9_H4MOxa?Q5 zm5CJJ&%>Ew&?Jlea}G+mH$m!wveg{>`{VTrj?N#t2Grp5F`lr^{~`B+z+g4HTcc?=p4XAp-5j3LVBQ% z+up01FTSKLFRS(`$66oztu#p)bROx4Hmp={Somvq6TD$+D)|;mt7&uJaOGy4(S^CM z{c6*0&efKo&vF(Sg<|>&HQvM}(?Lrsi7@>6%Z2jAxbjk@$MCFF(jVz!q141>trA{! zBldmi|EBj7UQGys0N>k~JP;7-#ula-@ws9#L05**t+P=L}w>jprKh~%b40Hjp%8Ox3jp*AGwvE zxv|j=tcjfTPE!X;SLs~Uq?m)K>VtobMGTyF36n=l#Jah2&$%qq{AHKRR{vHkt#j}5 z?fsOQu#>xv<8Q~Kc=EH7B+sIQd}an?!^f{bVq0zuOes*8^8QF!k&;v@4G?;n^VhDV zSjYDdUs1I`@+(N-ZipRoN$R*~?tD2*sSbJZ%9)xGK>+aWUhZ~CsE7HNci5Ua@tk{r zw2}WVotolRb258v9;xbCy?=JUioE-B<(KkVrCaJp6=K@U=UTqKMby1~d1%BYekMwVbc~5*#>1=4l zD3`|};-t|ekAV9}rFAuTpED!&`My+mrY! zI)Fk^W_o!lpApOU39D9em)+sl`$ckey^YdB{kDA9k{Wn3we+Q3SNX!|`B3}pmx+jH zrTo&*wAr5Ri}*}Vrmc;lN@d+$!08OUVpWCw^ZRk#h&v$7WU$;iGZBMWIwYSXLr*^% zbCq2!Z4R;008@P%az4F`IxJm0Lt^VY1-MwR^?bL9fy&qCYFz)_p+V6-J9B}nl;q_k z`L!~j7s3*s>J9UsKi!wW7t!(6oe84jkm@020MulLPmN>?KxQ2zaRe#P*1`3Jt@Djv z*HS}PN*&oU3p|tLF)>BLxVc{e;?Hy$Vp8`9Bd{)Nt%B5{W~uWy8PQp6Jd+L(Z<&uf z;Z!t~a@*MwFs7EFi39n#CsUr*^zeQ|&3k`Rd?<{VvD)205xa zL4G1v$)NJ1#Ofp60C+?4K}>a-yaFYR{$A0QRk5+^x2GW4BfaD_kUi81iFL0gspm=n zQNnw_397fdFY#GrjG5%nKm=HZ^GzaR{H}G-5jb_CrUZ6Qo+35K;<5f=57k5rH~rmI zM`oL@a7;HJDP3+S^GeB;$lQXHA6h01$Ce(3_MEsWMtWxt(2i?eY4xnaOBKNIAfklu zrLnn5R4gpY&h+mj=7LxaRE%I%qDMxF5dv?5cYgfiQUS5MmYP6P)#ic0|!jX=0SqFJ_O;t>e*>su7yW6V4 zL3W@V(5p7l$w4_a5DIInYZpR@j7=jqt@2ET24PeDLAq9cs}ZSA%&jv@>9#W1;vD=7 zN^zQ;gOc>Om!e7NpEU@8JxiTGKBoOle+39a?bQX5p{3_#V*iI8#G;oYJuLfgRzM1o zO|up_Lg<*_pXUB75er6m$xnaQO!_>JCexYCQ;qo;hxKX`eUOh)FWAa7Gqod(Y|;Tgw*~4_!vo&7J5qX{KG?Io_={nV^S=-btcw&)lJJ zAEk8^=|&xkG&$M9{ltU3+Oap;$O~2Axqj|3)&gg<_PzXtIW}IS+Lv?$0F(P@Jgcv} z;wDU5>$Psy@PhN|eL~R$z|(ev-;q``6}FkZ_C2EXsw(`VrS}qV+gI@VI2~D1F*dcI zaf@b&0vyp#Pj&YxXU)mR-6N}LKhNM^=AdSnW*s5N=s9eFgmXpu!IK+szj z#aOYvHnq~u0A_e9p`;6TBMi3=O}sOknHP`t96J;2?Izb8M~6=Yd~ZcoxF;Z~R>+?v zUF*6hCmbPXoI5@2HNBe(X_qw9Lo+hd87%c54i#Fjez9S@bNe)QB2?8X*ivU0|1y3? z!~T%~A@lt8s@2n~b?#c@Fjhn9=cWFOo)1)=-iSJ7e(Ll^$Z6(yJW~Pol)h=L8F-4d z=$BGcc~<>hy$`?QdSqwVkFb9_a-rVw=4$1|OMNgsn^j^O-_sPNWyDNh%#x8%wkPiAt5_`URsgFDhTrhR1 zn7K^wyg%Z#4^Q?oPz6@pj|5=pe+f1eZ``H3+C+Uh)51G_A>#(DTA2K$%EJqemZ3-< z3~#Xu6I8!#roE|K01u`#;b&=|MfAwcGp;T(0;*AmeSbjUIj3p&*j6b0;lgnxDOOvo zjOP&+ov>ia83S#<4$~sVaef+l$rw+T`3?KYwrkPTj@4>^og*dHL%xU{EsQdiXW9%o zP9!=C+F&%5qu;7T?UUzvZYEt#F7kX`5&3!|APP9j5rum1m*_?@T@HwwreFJ6a=t#} zwcRnUqp^?4cF0tp-*VXJ=^$Z3pa3JcRQXlbJ@E-qJo_GxOl;)qF3W3|fi@V5p^D(b zCSd%uYc};+^*lps5H6&4E@sdJT!BRy1J@1Yo2~HkqSlPolS!w7>J$ou076PO+O5E= z&;sw~E~$CSFdJ-Z3pdmzS*nP^YKf0+Q0g48Zjoub!4P z%dU&Djb3a5jeeX`4(I9naALM-$>JPw&`XW-pUKzngzt5HDTaXb$KqGV)>~LJw5Uh; z1gw>;Lo*3_w~W~tNV>ZJdF4F#j-QE>Ids+8X8%wIBUO#3{lMgX1(r+wte67@+Ec{h zx>@DIx=%s%_@7gO-=tveu__H{8*mnm<{5J|_kDy98a0inToUy?TZrwHJI3JfO3}tg zA%*l1{(5CQh?4_B3G3fXKw^Z=B)xh4a8ny3Nr6ZS_>`jT?X`eDR-hxXS+*E_@SYtZ=ZDWAwNY-s9Y+B2}A}(V7Q+jO-z$!rc z_8NN>v|17@**N4Ls@iJvakt=ZL-n1rfNkWoKS1Sc9!?#?p#!grJuC-Is4J~C+QgfhML{2q`RS=|5XRrv^SGdCs&q= zzYkK4NzqrEDjYc<;`? zliR%9_XX8biQZS*A6Ih0U>K7g_m6+5AlrwtQOQYXp5e5`tyJryck9JF)Ls907r>tk z&HZNTb^f8tF4K-nf>_r+MA-U~cc>;P6w&+-AxrSRUqSSaJYf1;DyTMMveK}Q*sa$5 zEsP2f8Wg&FaVpu20@2H$GwQ^y@_NM_&)0}Wy+_0jxQw!a5M8A{DO-RYYZpdrv6$gx zyF3a>owlcpP1;sBU%k#O@z}R4DtIw^nzSnOGXl>~S#>gsfMOzw6BkU1cpwW*2nZ9r zDkx-^PKP}s9CvAuw$qK$IPSXTFV<3t17{@;A`d9U1UR3Tp3OP%Fy(LRCtX>0QxScW zUFyMZ!bdMMjGL!1khcbkaAch#&hMKd0)v=?`Lk}nnAI6f8g5RVQXl@MoQ{QqivsUNvyXnn=tx9#DJ}qjBmW?%?PSmgam6JLup{`Iaw)+w+z$uNyfCGNr2W=ql&yO2pDh z{_JyB$zG?uMIDFwRj$NOM0o#_;f;fB{rFtV@U1!} zniM)a#abE>@>hb~!54ftuqH;BBdIyrkLqzo;T?M>4$#f*1e$adFB5M)7@DOAu&UZf zG{g2r)5du&{(?#EpN{pMQ*=)#pt#3q78EBxe)R<}W1y*&5U_9OvwrVk+f!Q zn(e%#VNK`Lj>(6;1=XNXOF2JBQegGuYlA`8laoNTg+zFH_w$MKw1ygnRo7L^{FNIHi-y|{w##1y4RC3~7t z*bNe-geuZY8KGdINj77(;$O+_H#taD-NB}xTFP4f^@NBwSd5ROLFdV)_EY_d1cGm zFlr0+j>efkjson8a`Al-H&MWf3YfwLilsrC=GDtU9?F;-O{R}UHjF_hP=)SZaNG{fG+rNK#PC?$UA4rVd&~?!h9ERH68>E9Grw~l^JhvShyVJ?L>T9d(xiH2&eMa$n32k)=^FS0R2fL~ zeR&2O!ib=gc8itm_8_m%;M08F=lBK4YfGeoUsdXokKHLq47!9XPoR&!tYc(TV=jfB>~F6zosvYp{1P=7VF%G zu>B1k%%_<{1x)kP7{`N`ywJ40YW8KpRb{#*_K2>y)^w0$>gdW4F1)#9_vz)pRe-+f zs=v(B^+!JO?eyn}K?ou=2A=aXc)5RtN1PE82Uk3k-%e~|)O82H2}gt#u7)?nB4()K z#?U%#!lg#acBt1nyO#y!(i)gXCpZfQDestQ^)}ENMrIM}um3t3|L#O6{*~j%Ehcai zEiR|K0Vs41JJ+GZ?=ZjCr5DTe^H3z8^DxurkwL-#(I+vtSpr$kFf%okycDO?hd1a5 zolOXjwQg8S@P<#aLv@x(EHZ_>wiz3#XJ<0^9eM?Jm*kno68UItRv>YH{)uNv9oEr zOzXi8rw34=6!o1}sz*NGL&vnC81>sL^L?YR?FR+5a4h|Th1PnF7OtS`3-DQ2Q@qHwf zqnp?3E9jn3{iU>GvYGyK3?hTou}C0^hy5^5h)Yt^kNu?5J$mui=L}67ggKSqwJyh< z+!SbJyuRzD(PwtpbA)TeRF00q53S~Mr2H|w8HknDx49N!C{rW}}RPdbBD ztInHt5%fLDsH%C=IJ+fY(iQ73f!KZGFYC4GMF}Ut6QeR`7(p*tzdj<8aYkBi{+i*F zWB6llC+939Wa1ONMshDReBBIntf7#N@opiUj&K??T;1ZIc~!#f7?PRKzrwK8qF&{( z8=>@rq>Kf+x#~BdtN9=Rn}~>(u?}SH9AdhEF53DD9mdq_YZo@AvNOJy*&#tZ% zWu(=h_!eo;ap-eDt!aInpxB`pE`CDTDdjpy(Qu5%E2|~>rJkZQI+me@H43(?JdduB zYs`PH?q)Ju7rS+YanDbPxo<7-5_;MMU+Hxg%hqU*ckp&%QZhLD>K}aSN&r;&whbdP@RG#tB-Kl zJfKH9U(Vf@ADar@Ky^6A_vQk$XnI_(-Q-(yFkslM8eU#r)#~m&`dhpyT>XaflS}3X ze9Ls3h@AB{1RW4nT}0B7)z-4TGY>dattn*Q1>cL=P$mJrT3KH%pru-6p%skjA_OD4 z77!8n@ZTnjdT|=NVN6yh)TD)6>34-T<*-l_S-CN!?AsB@JAwSAm*rGcOBXzR56!yd z-A|%Eg#nGFIYY~C5cS<)Bgy_L0H5H`(TG_+ z&2Rb135H)k3!7fq1OoAyvQkpBFyiq|9$Keia9d4%nG8EDCgaG`)09ufV{mZ2q1Nb% zE88+-?6ql~)#nckW2whGi1d++#2D}MI1`C;@q5a2xwS@0+Ri=l5`1UR?Z8Or2qgJD zg$vRvf1I!dD@I&6yZLTPp5b8@CtQfy>~WZJdH%cXR*7Q zNgFutl9IsT9La!5)5-RzkHiPk@?IsljED9x2nsqHVMp%{SnU{*dh#6R-ch49;V+j| zOT<-zTqOFINq;GU?uajeeI)#!MoL7{9(v(v_2=7#e=xU>z^o0sy5StSir6s)Xxuk} z1dGvOBI%;|`8ZGgovA$wO@))|B{85N1U1yP^P;WtbZ}BTj&2h^8`+m|U5iC|VfmuT z`54dk9WiG&)yGkl_lgjyGhtqYfIK zr?ZpkBO0w#?^ZnqW(Y;2^S2O{K>3EXYMgxANjQWo)Z4q^D9fT|!WW6CNoi^*TD|J} zuS2BUZ<{gG@pWBq?9M~^!!TGgFE~Ggg$Y{)y6{t}Od~Kht1fMYkUZ3@H!6^(&nN zoHpJdI4I5WVK+B}-;#B916n8X=B%8s<<{k-nx=3R0GDqb)f34(*gh~SkUHetlM2kY zST(bw*$R#`NU^V__)f`w=7GClyoCIY4#cT&FB_nROIHMj+2j~PK=pl^z!s|lgTM}5 z);g04^HQD=jUztpm-!XsKp3+cBA-K}>%z7vt6$1#2L`2wIP0(ic{ltKJCG)7b?I$) zu+ztp=s~S5cDZI}Z?Fr4Yl8%j;yY8IWDIwte2_ml$xt$NJSU@2)`L4zdydb)vncU^ zz7#xpC@HA6aW9pT7I8;^st0f}{F%iPXB7Gwq<($Uyi33sXzNL7ioE9q;zsT!k6ulX zfdP|*1!7|r=z2F0nPy9tIv*SaXmHU**LVDG{>ZQR6v&$|r>(G4HqS)>1s&+rz88e4 zL5I`2VCp97Yh|_^hZ)ocb*Zv0V%ZYs)>@fcTSXz{&$U}kDh@8MG-2&x17Z1Vtxq2` zG(k1>SR77V>F!xNBfdU2gk5nxRLgYQ^kh!9ZNJxc={*RPBp2YCc|)YHntwo_BJNIq zs?yrfy@RedMRXNwi>ao18q5slC3nXCiw^Qiu^T9L7uj?m3qb4-D=vW}AGTiTo|MzhQfcH=xo~?(E z<1BKtCenNl69XXcPJaBw0KaOD?@$oifzvFdY*z+sn`sXI=iD=(J{hpYWMs;a`Btz@RBu ziqxD0l`#{ST$cDDIe_l?D}T}xKyi>>x9D^0R+Q>Z*w^ z2GJ^?vQkmAh&w`hBTrB79uYzLXhy+DW6rXH)}6$p^}?jVDp}^)p)p^gwpnyh`1__06X}?bMcV01u(`?0ZYh5_vGooFN{c30rrW1n-03!&ijc z1coH_kS^i?z~C)0=D&Fv)YsquSlE>O5~}O~yvZ@Wwi3l$6ee|K#1mGdLC?7;j_mx3 z?vfCVB&=y|ADx`mLBeux);xd$1sEcVVo;L&j^oAX`T@Lut!`p z!{tU*N$2-5o0*V&Ki#F7dsKo`DuUM$)lVK^dY1agZ6&7538V1&VqwW>xGc6CSy&QX z2#-y?aO|?-Z7Vk*&bzpru_BLGJdvq@Du(NXhAur_hRC6kXsEI6;;~*YxtZygHnHp*XH+eP$Y+FEvd2HszoBWYf_E*ETr~LQAVmbAxzmk zV+phYyx+!<74sZXR5e7HHmsBS!?z*_IQa7gy~wdXX53dc5BF~Coq`xe^?%}zq%1n%&|(8ebC&o zrH*BN`Z*16iJp=u-u)_5AQbm*p@VaoM|sbUyRn=e!N)pZ<-~fVS`3brAQbUS#U(Zm z%)EU2PyrNzf3qUJ$x2vJFWQc~x%`+?`RcQ*VRVbGVd(y*ze^O_{RH*J;?BD#JlYsA zZ4HPf&q8haZO&4jZt_gyk3~{-2ANil$?JzIL-1mSE1tfhCx*Te&6jTP834@}X@_{k z$-rbWh<-iFb^!i$rUUBEfSIlGmg|oOP?R#E7Db|tGRg$P!*~wz#&PTw9RSg9RgKDg z!0nkmT1ju`z4}wlbnxmy*WSk){Y&DO7RKBsE)IRVG+sM(*QIuth#8`5`vo@;YNEch zxExruFSude@DVSb6rb#w*#d=gVHcLvcW^j2Zr1hw@A;IIc^G6gK_iNl=`jJh^J@>& zdSqwf{5A-dtNIdor(OeGoKAaJXtlR$Tll+ABDpaV9v31nJXHr6e=q$V-YFHvK=+@j zT`PP9-lOm_kh-fXp|My?4KJi%$3!FpE-Z%^cU|OxoK!z5?*eEe#QSdan^tIvAA1P3 zf1l1$$@Emmyl2!R5T2_DEGHN|3u0ZMyoJ@^=8QC9{Hyy@JhjnY|ad zgIbylfPh%pVDlWBEjtv1{h^E;A*gRaO`!D_xOp>L1g_`Gwz(ixhcSBkOqa+b)UW5F!F2NA zXq1)=ohxja8hdguW6f+TGL){#YesxYi;Iy@jWm-3p>DGc$DMS@_7fay@6T^Od<%{g zf|rNT70YBpSGa;Vhw$BJGu@(D;oh{l!oQW;MNC{8MN$xNk4~ujMq5n<&+|9>u$412 zpOBdcK5qa{tP@-+@v#_E2k4)LVFS96@LB;f6?-b_kb@Ls=WYZA1rz`w5*BU}Eqi># zOPPTHBX_HKHcKC*h5#F>)D#cHvEGN5e%8(;_)Bp8fHP-(z-iBW#c*6bA#C%ZavNIU z`3TCvau7t++xl2jyd9=w6Ib4zVmRaKT=~+y)W!z~{}=)$Y)Kwm&7Wv3bW{q;4jl9G zmHl=S(8(vDhUe=lHXiEFD9!)g_+7q@g+}l{BRZkLXhKt35&&)Y41}pd9%4oab<9fG z^KB7z&L8RK%G@X9JB_QV z4Cj1%B?~xblAMrwDbK=cnS8}Dj@KZ${lKF(FaKH=kA8{*H7vfMPK_CS;BVMJK`T(< z)AhVqCUlxW`W1hrCx||@7bl)g0d9H*{V~z#$8SJ28_Ikd3;bR;n7K)7i_kd!&W)a# ztW1;e5)|gCS0|Wb%68uhUMn|3Kp3>|wExc)pKW+G=3Pmhi;}s^e*lurB zGr|8dbED$C-9fqAA*vaf7hj!{lq35Al zx9Ls^Iuo{{B(qW(k;%-pB$XkMtahAn)nkf3QsYy~ z?1>m{PuvF-L73w?J$qHz3QELrcZY2&g%x z8QbOSe5F26zMeTm&pjF)6^G#vR7R;C+b&ssO#8$1tYx2j7eHNwk&+`t#~HLe#t~81 zczKI0=wfPowJSz-GLQVlJu^O1b0Dl0;RDnfJOLhS^0V3!PD zL9%nrgPERsdfYcgjV1;W{rwR@XFfveWr>@8QTyv<^J_%SV1O5@II)A!eWCu^=qRvjB@$ShL~ko9C*}?GH)!jIXb01zSJ=}@+Z!~}pHapMf8r6DI;+LG7FaEWP>W9(%Qj{a{XpT+?4pAf zlI)}OzU?aZ!=PDT5L#e3kL&jDU>N&a$M$Yl#1poQwCTCriOer=KyO_(56|KO-rJUq zDMS)3(T5dMzakROD`f4Wr>%q;KC{ytK*_7bAbb=jw_SH8eHk>NFO|#yDU;$ zHIxoqsL3|dBfDwz6{s}6q44$gRDhK1qx)RGNrrmGc?PBg(n|j-?lk^P}c4>UA z3r}~%Yy`e%+ukq}Z=oNP8G9}-$Ky8rcXGFYIuY)UeTAp_`c(JutYn-QR<+aSd!1qi zY7&4LI?!*hvgEbu;=RmAw|w=dl*2Jh%dd?L1QlZo(!6)TZ=@UbB)mFxJnAQNbqK+k zXwdw~uuy%oq<@{@qQ408|d+<_D}(|Y_nFVogWe@D!R87>U&x|0I@nxB4x_2e(AC2bdj z+-L@P3fZOg{j(jEQaM~uO{ZxRYpKA2(}Kduo0pv^m9I_9`5&KE338^rD*JjlWzX`3 zW{;B0l3ARDn=R8%59l$YHD)958R{LJXQ}dy+g0!U)ivj*OU&nMR=$zk1fx1J4CU#z zQz<_bc4GR$9KNn#)8sW4k{1ChmYhvoP^Bl4b?WJ1)8{tK*DW;P>F0k9edDJ!Tqb_I zabp9K>kIX?z>(olzn>{RG!QTpF^O%jD#{CH6!~%Cq!MAA5)%n<21ie9REm@6K!9S@ zt~4SX)6Iyut&TaMLuRG=z@U5hk~U)gX=b1T!kK&Ug49 z{ag7evCT1!U|?VnbwR)An26HCL4?= zrI!j2kQYen7R?dO38arFjfCpWJZAAq(*IUhPZAq*&Xxs*(mQtK<4d z6uLdYT?l7L%bk7^XsZ=V$5Q}WpN(qVl{PH?%64_Z_Px#Y!(p`k zWDeaNMaSih328tX?S-dQWKdvjEomv4Vx*KU8JsUpe0(72nd$6=oK_bPO?k>HJFv5m zSE?jzSqJoRP2;VX9|U+sP*g-NlrMaFNAUZ1-3_{@!0gv5OzWnYmyp!=`!WF(u;=1~eYqyV2+;x~<&k=+4C>ala1&W%0c57d{Qo#(0=FM{w|Sv$~ejd?ee=Wu}{G5*}8zxY8vhAzZ0fy-hcRm zeZPo3rT3I0N&5-RS=|CQNx)O}aW>FoN-}>YaqAsN!M;F8Rx?xod>MCVX@lF(0_QK| zR?-AyS_fJ1N25xIEDtw1se$pU#NA*7P1)_9kl$J>)RLhG?)(5J9(gpfXrVwm^<%i_ z*!R51f`#n(81u3?vShuL*7`-vQk~@9XFe_8N$c}}K(I)QTdQqSSgv~z)N%2xxu2A}10S<4lVydJw+G&Ho9k_9!0k8kE)3!MGp*<|URX3)2o( zM1J$vyY=|-UxR%S*KSvIkFtmGi#f1-{rCd9`{s^b+OJqp&Jd6R{r0x5N`Y-Q=6+KI zsScCD92#L?b={-N#%}-m3p36Q=On~l2g@C4mL}Dh$0WT|bUgCoOUCXi%W~P0tQU!1 zU)ua$_f{0%A|rCYAgp$S5iW0*ni0~fkKioM7Rps^qJFbtT>#U3KpFeLUG7sDe?-f} zn`E}eYs_^wmWT5fxcwF_zN-zoA>t2bDT@J7_{p9pxhk$UFZ{t^xr`+yJgDYFX&70y z8+d`ExyI@J3ZlSs90k2DU=GFO_&*aKQz_kZXH zQyx2s;yGZ-qjneD3&rt|732Qs2gk}dBfkjPnfpDs-5_9i1*>BF3rdoVLDdw`C!U5v zUgl@pj~SbeUZwh(=5!6VoIQPei;s>kzUyd>oix6&W_6ZYjoGA1d@Vf^P44#sk$sYD z=3rIjvjPWWl=+`jScuUGwK~p{HQ*6lm(m6srDw7CfV;TQrDmW(g%kU)p4u zVay%OV^MddQel#&&-`~&mLHQ=xK)?S_c1Bg%=9xXXNQIsG}cRMa)0|LPW+s&9zpQI zJ+yNF;4g}S(Wr(r?3i=#flXpLy-!SHgyz-D7*+AKqi-lq`KJ@+Xf0v2{`n)-n>EDl zAllakgwc?<-LUFsNbi}f`@4V^dmL<$euCS~p6YjNagYU$$U@!tt%s6}2Lr|)!( zmGa&Sh)2*smh;fSLM+{d5Q0!aV6oQf|UgC!U?fQ!La$sy8|4OWHj~p zO{egq|7`FFW8+EH_g;JZ39odbdVI=Oqtyu*?{Y95=clIAQ&caE>MMv^bQadHnY}dV zc^`fGWx6$e2rc*x%~t5E6{I45g1>HpH7g9CR*r_|duowEw4b@nXhus$e#r+g`h_{w zS;y~~uM2ME3SSb-d_Wt*(5(_uc=i+hUt~jw6(n(N6l9sVo2|OU<%I_}VkpV;NXIBM zl*ETJ$5P!99G?eBHs)lzDB`4CnEW%KOG6djGnO7Z^b5hAJ&Nj!uLsp^?j^IrH?rd2{muYwPp(}chgWH|jp5*Mv zRd#m%qu}ZMQijd}2TmGIf(w(#VG8&K!cnS9|L-N}_8lbU?TqKV&=ubwufJ3*uvltz zPN=>68{m`(JY_TjX-ptT872eko=pQ|p@X8xeCQrBEqG!d4uqxE@Cc|qLyp^D!Ly0Fs%T?2f3oH>)D~@5+T<1^;LXx`Fs6% zcT%2PwZjP^?#Ds@&}o?`#}arxrEsSofCp~k;@(ES)}9Y|9hziYk!6$kq3I+%YSt*Z zKX@Zj3+E@8-+|aX@yJq)Txf1(3I;LJ?JTrOQq*OVl;0jBR3BBoIU?L^B%*YpTMg@D z+$%Y3+C`e}-op^iDZ5RQ%)v!Wk&S(uA{!)6_)49EiPL~8QAZWq;n})2ZY>s)jxDJx zeVJVU20)d(goN3M^sKm`85ed*6_<2nk8W`(wd)lbeS5BuzuQ*U+7}ysM{Kq@jAE|# zpb{Tis_tfw?sjaL;m$pwXewRlTnr+~ahQ30GP|r(pmYy6A0JIS9_w?!RZ+yFYOe1V zmjgEa+G6zw{N75=2G1qT51ktP@j@eOkW8g^1PGSI+Xxkw{Lif;kFoo)CVoq1`~VX} zJ*MG#!61_mjw~JWRxj)FoZhWfQJYsx90@PB zdCTgK;p-J%0NVOgCw=S0$J|%s)Z7pFS0-P+$NuT^X{SOe<>Ls{#|mHJ0cew{Bs5!{ z;+XKtvjSF1=u_giRi)7eDIKDd5?~J8*|IPQ1iJP1^2PB7wZE2paxC{#XwekGpwgMF zvOAs=w&qSh1yXy1hnGe3JC_3gJQEm1N?(8C#h1Wydh@%1!Nr*8k}}YY;D@Vy$N1aI zd&A!1JesR#-sja=)^Yw>NeeX9P_pmLC6$A@vT2X#uQ>hjJ~b@mSfkNQG`PP9Z@C-3 z0PFu38bR~spuZaBFTAjl&QiP9Z3TKW;r^o~W;%0?p%>i;zUBz>4^BQ8q#sy(xZ8iA zOtJb$M2*C~cdXzFYX#Daf@77U_v`-o=gv4#ly{Qmv%6|Y0shyeXY-WJ9cpaDQ$Lk~ z@%(9(!|e9eCxe~EA_LgK6=Nj1#$k^Kc(dE!Ccu=l$s<=({a&b+`Ar;eUMezg%xJSQ zHZAb~m6wh3yNZGD_=x)vTewS0i;SV*JSfn_?ev%_t?x4|z3y@+B|3<<@h85clJ2B| zdm%Zd1KMOgUNRet`qBQNvjLn-8+5f;W2@rPASHCmT@f~|TW+E0ABx{;#9#3~5Iw!F z+;k%;)e-LUQ^Tp-FM>U-NWtI_0!rDRMG}^lZNS8_Rf2KB9hgwkIo1csU|{@L&b>nv z``WW_M2>_TOuLo>4Z)Ur(*FG09KvW{`bEC$P6T1u|2C~UZG8|7EfR1?@_7xw&>}sW zK*bYhBCUb@L@CnYB+m7Tbi61wJu{uFw?Hreu$e2hGnAeuIC{%y#AiHP zp-@b~*~1vl&;1@`aEIJ9Vb=1ZqDd3VbkFnG`$8ydj#uw+yY~J?T$OO&+Tz`*QE+G6 z__DZ^scpIYz>t?~aBZK6MfDd?OMmH#MV6rbt$&wKbBWUL!h|ni91>CxaQqGWApRd$ z*B;OG|NXm{BweY9B&km!l{?#~t4gRO#aL3wJ?3sRpGuUXB6s#Fm5?F1%w;RLC6}cz za#?O$42v~0m+kj@@8a`){QfIud%w=>yv})^=kuJ`QmbzoigE^({&24AYEGuG93|t{-#fEPriuW-}&^dG4CoO_;-owT<-9!-Rkm#*`cw* z7VEOfGSbPcxku8JX{N_LRB@#eJbhj5 z39p=gH2Ytib)U;4Kas5(8{%NTB#CC`vgNauvFNSrOV^9nbZQWZ5rR6aW zQ}q5Wo(%mM(C`AYmuD-FOmI0CVj|lBvTypeXe!y*A54`x(QbzXXYn|Q+)v<+zoOxH z!vK?ooJ?YK&|9H~fAIx)A>FrAUq@(Yi3Z;~(dXEv(7h3H{j+H;3~I2?D)tv}?@S0G z)Cb0e56?$yo_szK#dN1yx*55jIpZL>0_r#@Fm)<}iske*gy|`kf$q2YAhrw`t@H@) zC5`=B?~HJTv8HDaL-(Cx+LiQ%M8(?_>u*TM555`)h02H|?}KwJ!XoD5)ScHIF`1p| z$*aK}+odV0d462v1B}PnwN>6dQH7Z)QE5AbLTN-U8|q(I>L5Uq;O?MupMP$5yj`pK z(|TxHxG)`lX$}?okKcX&9!e?5^Me=1SvB{AL*>5Fzp*=cp+A)GRW}FkC5Hhw1|9Lv zE7f-g=arnOVKg)>7eHYAOf;FJEDr441cEIt`u3clM=z;T?@Q4ZT z+8M6C!4_Uq#49a->Ta{RUI+If+m`iK@!BD^AV$JM9v~Ft8Z6Ks95au{Xpjz8KW+#f5n~ivkWtT;L3|V)qRW`+OpAm z-_Ep4DBhg;m%%qD1D1E@y`Eqnje$OOwd{cQX4+lwvBD+6v0n;B53~24oP1~vShY={ zzOwoc9Zkv8V8??#em*|ow|QG#1IPA6?#hnlQ_gKwCam>EAl~RL zuP3+tJ;(2E8jS2p4zP0M^?9#g^dF6$-n|PlYeh&qv=nJ_+fiPxef{iC&k$eaxMKwp zt8-;~J#A2Eoq+9j(3VhnY>uLXpjT#=qe|pF0g*2z_A#sH?mMmilvH0^tvPn5Vw9J0 zww9s|6XjB5gRJq08E-Io6q7S~seEB|IM?^0)oF*1LaQ?v{@^gps5~J@0}d1i=ke$D z51M=|KA|%t7aigm74POcl<|EeW+p@-{)kNYcu8Zb+bJ63-=uBc-(LnFjQXkO$Hm~2 zI@i-)37^$%>1F6y&-1t4cj=RO68-4@^RwdBVCAe2{H}XhR&~B@y!+)o@JRtf+v>=* z*G``vUR-?W+m)i*loQJPJ>7cE6Y9y&(TXXSMR4UM(U(q{(-uTRd8IIMA zb)0x?$_XEEb!z|eQmen%lslwUcTDP&#$2SA&o`IK-xSWP{g5l|!9E&e-`@ZpCpH%P zOMJu)=r2$3VkueBi;c7Me&6oBE9=oB?`@>Mor)45^lJyf`z_}IJMI_1;(!BQXU~6j zlus=X*>M2fSN?GQ_oeQ37p*+|N=x2v*-&-qs9`R@44$)UYwLwy_nEC@!Rl{qJi|O5 zjMVSH!(}Szd93V+7P?77z0ghUcPp#YsYb7=?V_i3ccrzF=1>JTjU`Hk4RDKRc~mlR zJ<*}yab_Y*e?^t1#YQs;Sj}f{(8;|s*BAQfvE|SJbyF^9=%H&(#y{N1cbsQZa1W z=~*3nDyaZNZ;e#@88D5rN}Com*hNa^tK8ew;Z7%++sm# zcD?2;$z!Th(Y6c6hqXy)fhzB!i!>HYmmo47abu@=i?=3+D?{tptW;;_?g?ABW5Is{ zUf7D9d4xQ4xqTrNSfyXWtS>=*^ETm90zQl5(mtwk`3L0*a|^>JCkzhq5TDK|Z+GNA4;8G(TgQ%b4+oA;%R4cNA-6 z@7;ER-K!P6#Qn6d*=|RDhAsPObm`WoYjeVlYqnVF5OUAkpP$-bH7ae=pOPqyB$#qh zJRk+Lu6>m(+^eYdKi4B>c8Kg}N01{)Ub2N%&q@8y3Uoin3ao?JEfE?>#x=Lbm}!{$ z_BPTyC1+rLuidXb^R=_3$qi+aD1h-pork}WL{J*h6A*r$tDi+2UR!XYL6R%-qD#a9 zY!@zP!RLMOQ(zZG)^~VVKCW~KdQp{kTXOnJZ3nPjCS_XO1L-IqKXDjHq6r8iUpODr zJ_*yBR!bY>{F-60YtxV=zYoVkvGfbl9@D-yJ~+%H%JqweBD_SIWT^S#d9+0iiT*Ve zRUdZw-;~_R;{Gq}b@w-^uFYsU|N3iP{F&k1CA+d!zjQmvc&Lb?AlUx3gHBkb%AcV% zB?iOq_(PVtWM;d@XW=0aB(;-l|D1qQTz7S;vhsI^)WX9E3>o)sJDuBpe)0fO`$BMi z!q+b+XV3KQpSSg+4aVP_a&fwyrST!sZbKDaYqSk6>tFFh#gm)?vZj}29W#A@6gZdi zgO=2cJ<@P-rog23a$F~cF%acnzj-0$Z^$+izlJhL8e|ZfNg66^N?@OoX3}DZuuz^*Ch$EGH!N&pYQ}byu2QCOu1J@Np#`SWN z4f)?cJ@Z?9d?I=W0EB`-1|=Z|>tKqX0v_9R+L@z;-IKc|(CtOxpSvYn=*aIUY{Hrz z`Ce}7@m9Qx@ABL4>3Z?IpAU{PAOB4ze{WF0V6?JKL8DRM>uuhLc5J^S9h6<9=jCIU zQTB3lVAnUe*1jjfHG0}mNJL2wm7OO46rqY4hVzu5m$$dfTS`@zB z`;hAPONWBC(Qd-ZJjG9iAT(}7zYscqlId@yGl}Zc5;RFtcJ|dt5n-A(T9G(}t8Qri{JRpGhLEDQi0sNu(spYNKX)BV%z1lSt3UqUzscWwtLG{$bdPthJw@hpvrv0lx}d1g zFgJkHDFKZF-7(X;>JUJnKI`OaXhwRO_{IzP&gs~s%@|R3cQk%f*kil!;rbTK%?^m{ z(K4hfIJr-f-ZC$I!9+>Z#qjg5sNzLkdxuNYhf$n9B6XS5_m?U7!Wh+e0S;a3OLVex zz8*+-!tZsJq=?t_^zwRP=u|f4>I=>+ye*af1+#Ru_-)IiZ%9BD*3H1z3nfG=MTnSe z7fG%z+0@UbpOZvhQb{jLTlBO&0wO6%l*|Of4V>0nQlF{-ER~{;S_eM_{_>OirRP)w%`B>VIg*EBA63Z4^XxAWM=C3xnsE!oP$JH zIv`^v0IYra$6y7u;@eVp=U0WUeRwKO+8u(jM<)A!py!{*sY3q=5ATa-bmcjiuP-?U zfrygZ@HQ6_jw@QmcrS59Y|pcVY>|mc{8ocJ6>)-d=Fc#$5%~Q#MKQLV;>fqZ45Ar8 zcJ!we$UIY|#2;C)vfTL{VAQ{ibx<(P=s3c(ll`r$meyv5IYr2foM=93+L?!?9}pn+ zC-3xxsx_6E&gZl7YZ^Tsk34)I@w02rs^F`n9P@I~ytfNfD8hnF8QI@Q+*kv&8Gw?V zwlnljEF2Z8FITy7NAKl}HgT{UNH^=?u(3zJmo&O>DE6`Jv=5Z%u-@$8>A&Ai`=B^s zehPw1w!v>d4GOnKKEb|4l56#l3|iz3tD4+LzP3$6xpkqHpBwsxwVRu#_6bSYCs8jU z4vV(#?o_-OdpPs`;VS2oMaE|@kJi!Ogj*bp*?0gh z*rd@I>9ql>H=G%>7}OH6=Ub&*VX&7LfNfH5jGwc{3A#BoXA&!Fm}PB0wPXi!<3_)Y z<`BlRw2}MFgtZsd068!-vtB;^d~1|hf^*#TH(UfE0YT*^vdJ4$b6`JGLtZv`-zyK) z^oFhfFqlo;rH8BCVjRSHuSfWu4@itf@Mdw?Pqyp@z8{n9{B&bb2YP3-@vxQyYZrQ| zYfD;4`xRRsYaC+lP_-4|(xyX%-v^ZNH%w-sXQ|h@C@)%I<`#LjYP0b~sKHsTo^p9m zXnKHyk2QQM?|16#T9TQQ*T`;XrB5u9MVx^{lLtjVoUp=4=+@wN$wXyuZLiVkD|TK( z?8<)$m{hNNdsfl=(%-lFgS$R@$kN84ibH;I)4(+l(l)ZK4>G zx@qfH&UWcHJfh4#j_>9p?lJAlYX_^Ud8kws@b_>}RjAs2V)ZDBx1QFRlI+}fgsc|7 z(mOGNawu6j4u?hVXf}D>?yZDH$zKbW+id4!jjbdw?~90 zl)K_b$Z<_M?|e-xe>!RGmQVLe_cB==ny4J(HlXrd_DyWj^1#@WP47=VFs5}LpBr*y z>>$Q7#^m<74v!;4!ig$oGNc;HD`yQi)ia0cIB-?X{)RqC&(yQRPL zADd|HS#_JKx<_-3@VHN`N3!Ceq#8r~IV6ASbG7Ezb%LNt4pBQ`evVN&iyBzXBy7dh zThDjg9J}%)==Zt{sLsKvjmIqg2E8$gD=%Ps4NHIn$m6;qG86G799u*nEGU$-Z2C&5 z6GA~YDfBRyi0@A^c1=HFG01CF@BcO+z}r>k4TQO2n~<{EG>i>`8l!ceAwR6hPc@@{ z`**h>Xc>v}iM26Bt;A$0V&4)G9bloY2|NkrgRR`epa-$XWfSiXhX%kN(y1R=uBaaQ6cI4Q70+1uth7o?XU+VrUOyW8$2O#GA8 zGgxJ1rJ&4KcTRJ=`Yu0PGYFjys~GxhmBHgm zx@nQpvVv#9J{x{cC2XU0t`imr|7u-V5tr z=*+zirA7Z8mNSEJUE?x&302k%1G?KIWJ4c3pi`4DHSIgE!|1ED*Sewuo%x436il$0 zXV3^vfqakot{noNQ9kdzr9g5GvSRP2%Xny|uY?fjo%ti9@WvQ@_6P5Le-3}+u>N2| zTzWV^0nrx2_NT(paj#~zDiWn-2Z(J`6~v%=5D)(O!=>@G|MLX-^k-I;f;gkeM}m;_ zW0!sGDQu*dE=h3M?e=&J`)~T3;$Xx;zfuz?@JQwFLT{C3W53iIvag`sWG$}<7IQy0 zKYQFD+`00XuZhc71a~)MTXbGR)pVyd%F1efnm;UpwHaGB6soSRYJGB4u*Mo?gk}%8 z6(k`7w`gU>Gftc|^9%{za%{f{B>&H*EKZ3cFHW@UD0%5cEle)Vp|_U=Y(HVr6Y%Dm zrg3Tv`!(Zq4>%Mr)B|WLuD2nBq+UY+dwdz_PppB>x_UBVFsUn#$4XNYu<+4krDHrL zz4Z`5z;HuArx3EH@vV>v<49BtAMuv*w8Qdir#9Gpc_kCU2-DJC{;(HKOS%TBWdv$B5tF-k$M*Lw zPeI8Ju-y|Dm6(igYHIm!7)bl& z56AA%AKPmHoAZL7dyG;ZtM=CZn61!0fwHF|9(p+Rlm%+2-(uq!wn_V1rxj_z{-|X6 zY3uFeWtRjzt0Sj$rlJet^7mNk!TTS9oG{peQ%wh%&)*ag*fB@B zyJoQ`Rl_xeR#xB637YOV6_kz{?Qi@#3_ee<4>F!bS!)T z&NJy!9e(O}dY|mFo<#(km1q#YFzPJr#B<~gH(&dBp6YyS6 zgUaJfKV)eWR_Up8`^KMSUSFv@p!DfMCOE(n>Bgix!@NFM(>Ho+J525S1>#^%@WejI z*`Zj_cZ6ii27F`C=f(%d?&YeQ#YQOt#(`sQ?wG%7^p=arfj=rk9_#f6-m>878?JOL zR`AAeC4ae?Zh7l$RA)e6@%HZIQn-KE_oIO z%lvj$(|AAS9ke?l9DJ7^3wg$Q_I@8t6Cc=md8N=^Hozle>|I2Xif98F9$*c-V`dZ| zq<*e0G3rNB+~8QH?YllcrqnXmpA+%&zfe%oJNees4&>Ipm}@)voLAmuogpObrz~ts zfF9g*AIKh>sImKuM6}@A4Jcv&i6+az>u*3sCOM;JW;T{fXaN5oNN{t+lXWruX>{5sWus`XrPW`oSUsuL4jwlZD%n#0`{#$?DXj?yGBRQ!D zqvuSB4^7;6N0X54MW8&_U1_NuH(RzC)wk7obOOj!)TlSdcxX=@8&2C0%qEc#s>q!u zuKkDz3{202Af_w|Gv5GI%`>(7QU&e5;LDBo37 z*9IvORrz*|_?f`JgFx^{Z2*GUax_Tktz{p@-Yi^BSf8^`^@gC+ebAf}sUaQ4(7_Mv z6+2DWQ{kCrH=^(+*Pxv%#!*t2m15=`XAMM0dL_;joak1D4R{!kcIDGqNfhq%NstVc z*ytbULM>GwbY6A0S(*e`yr5QY9(1&3mrQU1k&LEWh+lJwG4i0dYl^fkFN6NmV^o$1 zmo5Yj&!X&Y{dWMhbsUM`F%%tljfC}brQY$qfw!mxOUzW9C*#O%J@ZDJ=>IQTF*^tC zsjbZ~>6fnq(2@`-Fdn#WcvyJ`wGCmviidiSC*bpPIWg+RvmW1e3xfNLzMha7>(okf z^C0rPYW*+`S?I~qk&tLzL9l+_07{8|gR!Jb4rwO!>8FuQS~yzfVaW-_nk0pAaO5=@ ziYdLnM0!Y=i&Jozp35J6qt#B?t{dx3Glt4HZQ1nW676v0A@hp%jRc~~_~h;RufGjW zy5L7LC~WJD`8+za043ce*A{1|KmMsU|JK84!$->G!(4;IuAUKIYH_pYH#7oek>{cc z@VAk#(3*RMH3Bh7Plr;qR98M~DF|j-ZwQA#FsonE)hXUPbuHnM;;)$iN9radYlfuo ztA;}Qe6*g@%p(t3&MIv6!A^2j*5IhhF8pj3mTFEMDioAHsh&rz=&w?pF1_SRIk*%g z@4A)}@-+y1*)!0OnM~6;9j_)vr~tvqRsZORVK>dz&It>HamQ{(JiXySIQX=rym&_r zkWpo|DJxOel|+GXOU!_ov1YNn1R#TKqMwQdmw(JVR#py%M(cM_+?pJT(O$J<6xH%Y zClP_Y@{Kc-GXdHWilcYdK?2&#d)JOPMo-_YYh5EPYq;UPG1%bxo}Bmh7?vsnW`6wF z0smP0NfD+gK@F?e4c~a~=3uufh5d8C-gLgY)+q%q`TWG;*;b(=YQWbg>Y z4c2zn2eUQ_lRx-I&|^xvxX271)_U$^L7?h}Ey*_)oxagbnV;s{bQ*T5P3CtV zS8V39uU%i#-D^8n+aOZe&V|xVQ-dzq*o?TIMR@$%HPK-$-4CZshW7#|mDgHP93cS&(xm- z$tySFEPMdg-kv=kCGIGwc+d=OU)1DEoX;-_2O_A5_yqkF2;!A_3ydV=@kTij-@Kp0 zb=zI2D&neeCFsk-bQQ8qkdVmo|cZE747kY6j-#?#)4$^3BJhoHmZH0XOkz`Zhb@;%O*ADJ4z zkZLBs%1DGcnp2p2_y5@GNf!1ja5WPl>NaQ2d(@6VpDJ@+GKsM;%*M_#Og27YnfS(G zZ)0;EaKLQhPr_^zD-P(q4;K~)+@R|FLai@4r)~5H5W4*>4Dk$pP{RWe6G?tHhh71x zoe(f`G=A;fGrI7ngs^`^G9e`teRrjpfJzdSx84!Iqq@z&!aEW!-V?oJf?@Of1r`#H z^C*JwLV|RNZWa(ZA+dzFXa4!Y12+jFM!bwA{ny}HJBCSiLqJ})K z)%)*FqCKHEv1cep43EOh5)Z-q?Eo25H?MzRKW|n-XM6n;EBj8|Mz+@<@y;9)a8LS( z+dxpn*C!Uvq=S!0tBN6fc(ULiLGtCIRak1jVae1$Iab*2Q<2s!+Fc~6i|FN4BKh&t z9?|La%bofrzi^xsIze+QVA4o&l!Gsi%KqN1me!7%uaKre)ynctHy_j|B^M#GJX#%C zK9&25Bi>nRqEoc6j@HLBHsC5f^)a&-kl|mjmI_CuGSJ@l?lZJRfCzC@i_B`M4!blU9 z(Czl{$Kz6$^Cscp6Na!8?Cl4tKzk4{p)^*3!NVts)F^s}w7G<0XZ4V6h5YJmL~g=} zcpv5|Sorm^3&jwuKEj9Ld+Dx6B&QX78$WYP1bIjnLq~BXyS3r{U8%m81e2x-1DL{P zz`uavmgz%e@V;5L$cqKr!MqbX<`Ciq;q%_$!hSpBMlglc%DxWPGxR@ zXenW{l=ey+kvMU4$B+uMKhq~SZcNn86$meNNkL)|`WGRR0*JZuc6P>0a@5^40 zjA{U_DMwZ(K%{-L2<1N)A`G2;+Vl|gay%QE&`F4!2J)6j0GIvL6R>Uvk@NKm-#cmS znC}Vh386reM4Gn`I7|yzFO))ni*pzOM1Eej}~6XUGDh!{Z9t9HaU5r%M>w%aPtZxMUp6RT_qtifvK7GD+hTck+i{lxE> zL=xCr9=zcN{UUrIJGWVV^>s~L z+pH36t5=!@dKstAp>f#o4U#s39QH8(#&)qMx)ZDytU%~zA=^ciESyKdeOYj%ar?0z zu|P{~vli)g^Us~RjJbJ-O|d|%-F%($dWi90NtU={LlAt%P*k*kLDrqFV_*O0k2qZ_ zA9d9fpIYw+1^IcyyH(TL4~48TX}fjq`wPQ6Eq~%KAbgK2GBT=dJuS3(o7_FG_*y=h zb+9kJWz-MhSgkpOV!9~s4zW5Z%jI56#Q1|t+C0Ufkl)(X&t9{XEAdG4CK|~V^i~3o z)U_}!WSo~GVxM+R6O5=Z;HbwP(u>tp%1?UDL2~cX&vjI2n3PmYdLU^y_ z41^-jlw+OiL~(qJ6*fKXiNs%yZFi0rM=f<0gQ@UJ@|2gOfC3-_!gZe;7Q&Nvaof>C zQG`ca*tZbnC>og(MR6I*%LTKYhn!_ykVnY{s@R;0X=r&}+Am z<#|m%t5k)I?EyG+XoZ|0l*nY0*nsUz2T~n;YuEA+ymcQrG>X?yO^8CtL;+&Gpve7v z*NYI%L&UnnV{Q+heK_Yj^JvmMw>68*^j{ezEj_>~OH!kxCwHZHGyR4{cu=G>#$~o9 zesQh<6gX3VZOJX4zLr$bC`uws%s)Fztk0|4XMC#{l&j&4%7AAD6g*rS9i_@I{6m6i zM$HX9penTV6n6i4#+(6P&eMeGE~Urd!@oo9EhoorQfn}1}3G7{_|ypjV|Hu=;Xds+9huJl&4j9f3IqhEM5lDRVQkh5!a z_zI7G@hc{9&geJgTq^4<)!A?*!!DI9-QYHb&C!k;Gk&N> zw?{^0_?dGv;^hNsO=O<~T~96|O_%r?biXRL8f~(HjUKO>MW%1EI%Jg_wSy zHN1PVr$rYxd-2b-@cjl~nn6!PM2pQ)&BfaFcrfX>JD*-lXoXW%lbOMx;pb;M-bd|| zZ6;(+A?z!H&gd9(hk)cjQ7LBVP5Y3_b>px5^f?CI1p05PxU=*y4iF#yN;;IC>XZ4r zl3?jcTywSFx>El$7>s7}VN9qV1D&c4!f@PPc{sFn720{qA=XwsSY=oIZN< z_`h2p2fyDF@S#08FnVRdo8QI`M8MnMpr+SySFlVRxEFww9qR4#)&PA!JAW&&)ge`n z@bv)f*oL3QnbDS}Qvajgm1K^Y)K|Ul^$L^=JF-c;_Ll28-(nn~ijs5Yx3o#ayO7{X zy;qMNTSZw(dmdaV{SF?1;3Q0;l0RaF z&4he2}d((}gt;hXElzapccln0G44qC)Dnz2GrU zfY?WUc|ndYrz3T}sp*Kn{_Z#DFUR=WHw|7p70KSZC4mYvHhOJY1lP&|?IOxY|DxPo za#x+(wDO-QcJ z7Irv%t}Zs}uiA*3UM1vem^&>lyLhTiM->;Om=Z*l%8_ zVcV$QH+zo>&`W~PQkq;ML6buXGlF~=sOLfHT#a5mf+JL~GKF;U^gc?*28zcGiks3b zyOs4YXC}C^Lf2A>eB$y4VD__MOef6;Gu}~!xHa863zJ`l^l`HqVxAc%EdBbkTiku2 z3%Ck#+y$OMNlAAeKT^IMbQyuKW!~B(`$f>zv*@PWM9%^E?PaC&*7nCj$1e$?UieB( z1gNr8jIYxHEBz6$|A#XHQQ*AN0*H4AB{hNZqIN!7nJSMP3Oj7Wc|li%Rb);Y$43!< zzgm}mV*3yF%Bjvvj`lrwa&WbeeBM$n$gXfs{>idil$TKV!O&*D?T@t)Oqxx;e`KJ@ zKSPg@-`Mu#vdLonNFMcgqjmP>WSz~?daq+``)*_$QG6WgxnfCox&|<*NI~T#LE>;F zcM|9+{#G^NnKi$St$*Nc@+bkDKr*v@ff?0_XKX!xJpAqrLXOMnrkL$fi}Q!h$q)vv zzS*Jo@~z8_#sA!CQvS%SPd7CKlkG17by>QVqcrtJ%spHLCt=&+i`EI&9FNxg6Yw8vi5gx=^2^sX>#p zRRZG#>$(zONIdlJ57pZF1DL?ufgWj?1jrp{tgywhA4)a<8B3oBrwj zIY;dcrQoQe)ibhu8W49}e(idxD9e;O@bDn)a~ozwHeq{ZDc@K>Qd}=1F=!>l8gwl3 zu}$FD3JiM(fATHn!dMmB?VqKyUQu~_ZGKAy!n#4Abe!AqSU3u^(&KMYFBUHnxTtJA zBz-D4x<}59uIh}Ks<;qX?}uUT#fAoGyoOm$1JCJTm4Mzw8%{shAzrMF{h2)^RF@e^ z44|GuDhsKP0A_M z>creWqvkA3i}72k7-QQ&1+n<9?EgRrc_qwlv%0OCFx9mMu$a?OzYp91LT$Q6(16?W zy|r&cK^yD=*7hscmu(<^TE9}k_`|a9*GvWs8a0Ki%Ih$1JVK?-@E;)kdH5nNX1)Sx?$Sg2!=6^!o1GpmkLLN zwvcOG+a<&R10y9;Dd2=3PGa!{Oc0u^7yeWqA5Y}MCnUY(44L&}|K36bjzxs}kQ$i6ek`6B&_<&+PNpqJ#++jLDcj&=9rke(r4| zIWO>w>?7xdEc_ScV;Wft1v$m(?FwN<2P14MvypU0vlrV&LDQj!|E1HJ%NP2>DU4zf zuMTGzjR{{6KCq2p zqp1O;KhVcLgA>d?DiAHOb?^$vY=EP6r-c?M=eK`D&+`s_WB`W^^X73KbXDCJan z+vlurUm%IGIIjadN@2fn{>MN{BzsT{rrv@<;S1kfOsEvQco}G1^GW6L1ZI_(@SG#i zetaxG&N*IB{^Unod!b`-v8r$y)sChCb?vu=*}4-npqf%7?v1606pDSCZnMdrKq@jR zq$rGQZ(iFp{2{%Q(KMBqytd6dt(-h!)#_RE80~v$Un6_*;;0n4HdLC?qeCN1G8HIa z9%l@5Z`$TAx1N(dYf^d{lNU1W?zKYG(;Afk=plOD@&;Z2=RA0fl#}tJ1_RN#I z@vYC5t{SPPSxa*(V!Qf5UAJjh%%@t!LYIBeY>`mwiOxxY;Z8xl>7o(FF0#nW1ZA4$ z4idr}SCV2UMl8@jg;fMU)qWZ_^GU+DQo4r3o-g&9Qv33rh`Ms-PcdA-5XCbz!5GC# z$vgwgjg%fK9IdYM)?qLhN2eBa7#Hj)C|ZQB;^fx(viKNxStps;Mwh8;B)+)`GtAoD z+d446DEyPTblUZC?KeEt!UL+r)29Fviwmh#{`Uan1$Z{u`#x(9aViNEM)X&OGYO=! z+wkLydC)A#0H?XcP(E&9)g|6*(I&?oL1mm8%_NXQu<*vK!Y0)@VoitSksE2`t6%0% z-4%@pl0p%Ywi0nmA49~sd=%2=v--Yqy!6eE;>e?Pl!$wIK%ctjEQp~>8Rg114?t10 zFR`w`6TeNpORNrCYKM4T>v~y!=Z_1bp%E8VD&D++==soBpMDCrkEB%Qc3v|0s6~}w zi>D+K)>Rv4EevnFjZhBBNbtS}nbEnV5vp&ZbGSTt+fKQwMrzxshcJ|}p!`Lmp&lyJ zfsP-Ggih&oZdxnWkB-he?RV`0Rxi54TbsG{iWm6=a=zLfgP(bf5oxONOW6(|@|Vy@Y+ZbHla@CJS%f!e!7y zg(e)LP-m~cl=v^MuGhA#UTh6T+edQ3Ku(;7Ay=yYS=6<4_?>NOp3@O7_*xOxn_GWZ zPQU*pmB0Ndn3xMq{Tp7waca~^{_bt^y`&(wGJQ$3FlRZqy{&XJ66;0jUr={V=wPz( zM5o<|i-YYd(LPY-`Y1O9-AJ(+Og7mRN*;-Y3L0ku>?*7*lm(&Vd1UCMf|~;L2~vIz zjt3+vANd)sd{o#>EcjVOcD@4L4j`I<$tq(wgorq6t^qeFd_hiOB#+yTtH{ZPL+dgd zqj<0qp&a$ZxaJ)FdH54mq7)Q@k!1N=49P^~7hs;1ztCz@(w-i|(gqYAvz%jymDeVefbIiPep22V?EXNcLIPvU^3jw zQ$zPIlnzLb+)@r$5>D8K>Fotsg^7AVeY|!B)YSDEMjV>`B2HZuak|`tVT3{R;kTC} z^Ij|5(IdD7l`PB3Xdql1JBf~c3X$1u$+p5VKrjctj(+2jcn1hrgp57KB_%cFa3+8Q zaAZKNUIO@9BB16AW=5MEwk#|v0Cz@LbP$6S;~6&|EeKM<6E6T`D0D%~=C(^hoA1FA zl&U!k@|XX>hDxDm)mLhpbE8G>C+;<$M@N_Tt{K8-IRCMvZnojHJdVvi5OgbR>M9^l zyJHR&&I|+c@d34Aqj=6x$k&9cb9~3rrXeD~28_E7|7w5 zo17l3C{|;|@A&C;_~k&dPi^X`m$pV0LHUxr)x;{6;`OW+{72iJo+ngPcbseNk@}f1 zVBQv;?MCY-xGWC!=whbfwGkg44F}4_+BsVHU_#>kw(29jZjQ*&H-tlA$n1+ts>`-S zv%166fvh;ErI^rPmwyKMMQdcrDhVnaUf(ZxGWV>})pnq|dr{Z305g@vhd$dbao-(e z`EJ#!U8JqcE}ufL;={JIefu`|*y6j5hS7!MiRb5C^H#{M^($3FZ@Nz&^?IVS`Ju4l zpMSjUYDo8W^Oa9(0+AQ5?%xGB4mfD*WHo8DWwE@hV zSq+W)rUA5zXOP}y4U zd>SUV6f)$xCo&P`i;H8|tzD%?l3A1gWY0VQbibn8*nn6ad)5V&8U8!J;(r6V3IZqe z&TEJAhj&z0STxQocCXv9Z~K#1-WU4b{}VnKfoayp*#6~y#wRCh#Zu{dS&Ehwu;+z3 zDW6f10d9(!A;Vxt42PLFTFoavdO)aRkJG8HZ1Ao>%{Raf<;AoNvy`NocPQ!CkA0H zGjerx$j9qv?`{vM@4(LA@x8#adVfSiWtP&`%;{ZUtGkGiPLh$zfAY3o&8^v{U>?`t zc=c@3odMpbS30_Cq=7XbiwAo)EE~+=Wr05A3D~WNfxuz%7e89-4!h^zY!?2w`X}eF zjoA5g*Q-`9ZGEKlcL;zBpZ>gh)h>bq7G889VeWP$VbIbn-25~l^zN+{a?g~fg3uZX zofjOfF68A9+^^bAdP*&M*f$6M&We+MIe%--NvG3`=+AUdrn2%DQ;)vGJ+Pj(*Lai7 zW%{e03hy@`eia{-$6c}pA=9Y11nHF@MEot^5w|P>Z2`U^BYVhDv>Azei)3Sq-0t?U zO8gefZ3w4@tbHpt&XRNZj(dp+kWyzc=b6_PklhogfOvW~an}2XV9xL&AF+k8s2=bl zff`v;jDzS}kC+(kA(477rl+L}!1uVkKVN5XjSqA?YpqH0CVa`O%ZR`~#!n33D|w)` zys0e^5~iRDBlB%-H0t6L$#dRd_vE<+n!1cs2 z^_Kpd!JZ4JKCaRcYCp|!}sfHUG25)vR4nSxH23zSmGk|uW}jS zUo`&W{7Sv2MX`%dYi5OeURB}sbsXdQqOGjXpRugm(&1a7aL4!Bez?xZqZiyJhk6ft zqe*R@6Xw<$(k6Ja?VlAl?sN0&6CZh8J-n74Xr)tjBX^x(#gg9?Z;cl{Xo76L6Jy^P zZ?6Y(m;aw@+3Tmz^7Gc)MC?La_L2bHXM+`nEF@D2s=Q7ya? znZ{j;)F0m~?4AEHe-JZlyJ@-8f1x2N>w@Xd_iNAn+%ef%vxu~7H7NjhgVQh%{bvQ- zpXU9mj4>Om;FG>FCqJ8Rr~by*{_2)Qv)0|a-5T!B4<;}D7 z{1^G}LVM0U#rI?#n|tS)$*w7FH*b)2KVvlPZ19|i2W~!F z4&_}U%&=EMn07nXG-UOkUUc#_T5E6P`M=x;HL))?Bg@0VHEH!~S65&?!^U=9U%u>F zhrL;C6=Jelr%s-(5Gc zaj82QN}7kMg%s%Ys8$3h!&R zGQil`mJ_b|^`QofRvba6VqaOUGsRg(_XQKWA*o(W?9U-t^+O-ng}{ zuk~t^G2q{!ABJGGA4OI1s+m8@ueD#j>F@E{Y_WDw)#1DOs`u}6x2rvmSABDIqPpk= z4z7FzNDo{5*7l0CGnd1C*}le|5gN0hQ404F`9$Z00b;8SvG7IJ%@K$0BKI=jzK}`z zp(2wa&itV5A@qjax~dtZoOkPVQ{D>ybxWq1Kef;N8Y6fGhd=&0MzP^4?r*=ir#H^R zHC(T?)ki1)_T2C3GU2TpAW zVet-~32*8y(xYYk<56D@pxM?r0)R_THm^HXR?Z)B{E53xFxFX&XLkNYW$)c3jf$cJ zUhNOtWruW%T#s)WrqKxv|NDmU1{i4`d(E?dfQc*XX?%4*a zWoiKxAGDIz>|b!;!_;B?hS|2^=~4(RD_Ieit*WI6NsO*`*$^ z-p_z&5%wFxk*Dqm$+fO|{4czu*APxiyAHZf0Ow2yCBo`OE#Typ`XuDsb+MPA9siH4 zHxGn*`~S!9z1>#r3o6U4sO$+@hubP!LLu9bB!m#M&Q(b(H_E*K2zJzMuchYhH7f=XsuUo{z`#agKZS;C$~ULPvs}cPqb#`eEqO zy+E&fjpYCU=W>|%JojU;%FW!wizhZqp@!!pX%bFVM=gBsWG3a5tOVvGkW~W@XUcBm z66ya2PDSRfl>sBly(+NgX6=uZMVU!0 zth=2jOcCO0j(&or`Ys}lml0tw;LjP6C!TOL^thtXAv@$w7E2*gB99FRx01w1xdzLyA|S3u0txLyq~XEFSMp zZgM!ry+TeU%wUzhx_=GKZ)>@i)m~D8P*-kpUZOm7f0R|`R+8LSgX|s3YufCTqHsfM z_H!xMLniVq{v#(ia;bIjAEk`5o}dzCa<&(8kfLkOI{}q4t}?#}!L~%45I_B;c{9yw>*<64ct88beSweQJ+OKAuTv%Ug9hkq*fRvt~b{C)}9TOX&{mpDX^E zZZ|B@TR^SC26^>A9fTUlM^M`OTe>uyr2%W7R6ESjfIsybki>(uQnQpcO3&bAuehUY zf$S0PMQCT4Cc3g`c?lv}N93tj*-Q;0SOyD3wv#0|NXE?&<$gskP*ck7{o`gP$a7@i zu~+^%pj;&(+=HxPiE`2}c+1z5RbK04FSPu>g0!`v5Ca!suz5CJ?mKPKzr z2H)aT@OhGVp_rC{PARfzX_@IFR~L?`DP_Fn<#XsIXg-JdvJy$D)Fl7l(Px~(JCz}! zXSsWLxql_HTt|pYgBu;Sp+QQ?POyx%1Oy)RXPRYq(a#LZRC>j+ycphz0mmTkH5{?{ zHlv*FM0%%;n*|_&CgXJz1pcdgwgjoG!Q|Q7&GSP0Ze;SvFU0cZe)(S&=r&b;tO8y} zsU!bt4E+h+KMiM*2cw3oQ=j|wfCZXJ%*97=?&msf9aavFL z#$xA@yQ#d`z7jVdhC0+wytkQ5Q7Yasp!)NupI{83rMby|aHp-5sBq_|IV+ukAN_BR zft&D{R(b=_>ASN%_oS3A@tjUp#f>)~thxRNu6;AzCdoUmK#n9IMsiN%3NpOCiV`{p zt9J7;E95WJV8~0_0?JI~<6ZZdcH-;DSSemg+PgSnd?3BkKOM9|);v}(SS9Uv$>L2A zmT#;na<)S-OMdik3EYUERGlrc&-{Gwoxrei74@2|tn-X}4(rB&I49NOKnrP_&VNDy zzkb8@(_aVVHhlc+Aw|CA1c;OCW#!4_PK=AQjAN0TdsKS74=Q$ zZ%v_|owf=aYyUC-;YG(5%5xd?@FjGY3>9z~S zfH8xVQbCw?|5k)d_fw5FZS205BKF%SvEt_azX^2c2jP7LP1o_KL~ti%Xbu7uhDXg7;aNTXnSG#Wg$U6Hfwos5M1V zVdxj8*JWIr;+MB|mKxl0QbRsA&)*>Q;CP$+Jr=QhuS4a#5sMD7@8r0BPz=!T3VI`bzT-7)~nTSx3@)|;kIoiIAh#4^6khLmSSv} zq%~){MnYa*XZJa2*F@npQD=skR{NYh@r1sQU2_*0?)aym8sY^52Ps(}ac3O~d66S| zeIJ9xXE!N|$rSqx1@@Th+5`?9%t&sC+*BD!skU?)s1-93EKn>DsF58PS)?TUItlGk zyZdJ68vM?nruF1=vm&TI*<92DmwF(cc-mLocdwp-KRZ)pyry!zcB?q}8Ph z{iFZeRkrT;JvYuz`mjkeb`nP09x{jRHM)PkW+q=7a6W0v8R3&{9F*Bp$V>}=vp zKwk>hr|eb>yI%vT;6)Igs-q8o2#{m1KH9ZEYP5cO)oENa`cn5xp@4Fn&c}wDYc_31 zxh^$j_D9~|r;VvI-#}M)s1ye*D|B_g>>v7$v4VYchIWI@{=?qB)UCLQF8}(_lId03 z15Ttpk^_Yf%j~_(WCAG#j4O$aB`)6c$|j849eAD~>h!)K;H`f%WBb|ttVlndNWmip z(oVLeJMXNO6`yv`o=y(GZm%}D2^fqK@E9@rqV@4eK^#3;9b7A_w6XNyIP?j!^1p7MLdu~W9Ssn6M@ZOWdz$G0y z!5nrZD;?bEh-*NbcEt*`7E{8w#L|D~)-MC9?w=36f^ORYKmLX(o?^wBwU z5e*CCN1MI**@Z$9FKOk)Rwl-yl$s!pZ{>@K6TwUFp=3oJU0GGXSTSxF*hI41=a0Zs z)Tl!=K|RSS-Q1`EA(2IKTI9Kqq9l^5EgtlIU!;Xa@XWc*@Zhlg`EL1eeL-%d56cIB zVwO2lzP|vt@>5%jiaZJyyemD`mE%*cdHD99L%QI1-l6~a4x3{g2Khe6?<0v=%qqxq zQpfBJLVql|SPrBZek!eUC&+8EF5bD&zWykw+VIN>@zCYX>s;Qq&EFF;3JXa;Gwc^( zYEdzS$;~SDQX$y8{+uuudIqM#E4<;>{IrtStE|IKw7si4aVoRc`=?LmI@;nlcX!4` zax_mV%!(P^S-s;Hm)y?@x_{kPVxkZHzY0!`Lqe|aCgOkVwvewiNlg2FKa|OeiMc7g zd)FB;ov!!@9QMkIIo#ty&Y1s-%MD#dXwZJ_8*AGOWXfAMqeq7$Rm`~g_s;*!B91%} z_qK6b9`gRMJZ?vlmpdWJy><42#KkMAV?-qM*C^`qXgk1^*>S?eQCm#+T#Y3?e# zochvI{0;Dv|Cl8oC?9lNq1;rE*RkpMcNwYF24m5Z9nK1G{fw-2?(7;zML=U#>5asG z+Yu-wpO4*G^@ka_hWTMzG^aQ&Zt3N*V4LRrhFmdsnIWo~>y&OsB;^k$b>36h@S59Tfl_U; zu>L41|OV>wXRHx#2i>D{zdJhbj%dU}OM3MH;1$8Yfa@{Mn= z1G10J5)1a(YzWAB{h7r!neoqf9b&dqsdLVL--u%MTqa{FOgqQLAgo`m$);%Nhp6|# z_#+&_u%90DH^Ofuuh<`cL(tN2w$5H<6^8Kd5X&Lmgc<s4J{NI(M{^YJsp^7?pQ1L@oMWvcq9Vn)<#{%Y5)0Cg;G_-Ybez8B?ec{i z;kRs-Q)-`xEXw#_PF)`Sg4?oW>~4!c2f~x!hS#ddswDVs+ykp1SMk1T#WlcPJ86uc zBfYa=WmI&{U#^;<5@{_aLFjw}&VPG0ekGmK*te}Z7qvxlE7ulPvz&Dp|CLXvUB#0` z%bqW}Y<|w$U66_XIUfL5nyo&Mm@%P8DYya^elhG~5VK+c$0a)jCcB`{&%Y2n*6XPWQ6AWc;`NOR2hN zXvSI({#J{Xjz1J1v%KQ2`P?8V%%ZLL+Z8Vxu%mPImfr; z4-4h2X95-~&atZ(F;wu6O(WDGU-AfOt`B zo8F_k4H@YH`gE`I4z6<%0{@O-iB#tr;oJ!7%nM6s_jEE)3tfMLSO|~fS9Ylm(Rz1A zQI2l^F6&<78`U>{S)wMA!c&$VZ_Z5z%rJlUx_OkI`?Fn4G)fX9s{}&d!_3&r6CT)9 z(_&|>l98#*F3Xiv{WCN$zEKn4pL}{ij@7;ub3vq;YYBq|?v$RPRJk?wUbTM0@;(Sz zP`w?s;2K55f+QuW;&(h3`+FnmVkY7maABOia>L)ZJ+bI~SMzd2Kdfzkcis*V(5C3@ z+IsjASZqRB%FcBoHP>xA-md8TY5B;ME@?mK`h?Y;L=E6!U@3_i=K5eisi)M2pJLIU zw`;g+Awr@|HU_k}MUNA!NAa9!6@nfP7s)a({?@6hHk|5>Cc#f|9gmaEBJl$j@?r;;?1KNc;`cjFVtXv9*It z1-!o-^?rFmS8dH%8E4ll(NrZji;f>Q&mLx^2Y&tFUHJZYENgeUqO$Z%PUNHib^9P5Imxys#wvVo*VDJzEX3rQpda)Rr5o zc?PCaJcm+AN|Sknf)qa9g5lYQ`ubr*)IA3;q|Zg^jiOCEjO8_rH<^jj`s;D#9q&x( zWS^4wmxCXJpFK=(#5}m=pQs2A_)}glG~sy<8Yx4F{x$XmFVUt6{xbnLjY`Lh?mWPo z85c9TGlQA3Dx5g+o%CUpyG^v*hPDY=mpq)MstcuX;D@Nv!57J+_SZ6-ucRJ3HKC*V zz^6A6%oyn5VrDa5@nNS;9wSLxC)1|uho}R0XA_=8O?dY$VnVk6o#Ofmeg@?Xv|YV< z+mx>D1?^$yp1_MTXPJ|rFljgR#!TrQkuGG?a~|D4&LyhB`-gAvx^UD0v1*g>s*9h} zmJM43ll1~LL+z!|8M^r+JVQJ2q6N8LtmBO&}(Rv3%0&S!TifJfqg`!)L zI9<3PEo1=3UxOUBRpcX`Hrb}jUF>yC-KV1V=HFEfA}M>+V}1aH2)%Waob&l(gRD~{ zQL%hzTCjUaqssp3`DJ=|w%K|v9Ip$iR<5?W6+UBo;JHeYV^1<=>W|9E4&9cX+W!~C zME22K@(**@pGNDJz^Tl8aBzhcC{G;c3;PU^8GHZ9yGlOdq^2gks7!GIj1pY(w6jFu zu#!=p9&kPD9_XE=YDotH0_-&dCZHos+gDSN@MI#Fm11Bbg-J7cd~kEp5V3lg-w)^zC(9gENKT zspo)=h^5alh{!OQ3CQ*B6nH8CGakVyS?hq=CMEMPM6nn*txZPa+ULu)w5BWTT4+;M zHUgBv@$3hmfxRQe8Wf;t0K%aABHLEkk*}WVd?+1xJWytnx5eqbO1rAwW4@VURdcmV zduQJ%EY1UfX#b>W)G@xF>b7}mM!02%{BF9C07vQNgN+CO6?0M#pom02jyw25e6EMV z{zmK-&?D$k4P{eygh)-P`cp~P6$aMzRf82Oy^Ss>W-0&SWau9_Eb*qCG~@%Y?%=fOo$8=Ud^?8R3S*}v=-3%4hDPL`(r(FLbxA7n#L`EYa z=E3@vgibnr&_H9_m>s#l>&}Iy6wkg=9JOQ1`MWWiVQcgz_l5`f+*r&f$C50&4wugP zlRD)7uyK7bD)R5rO2@0v^fPvUwztXTZdwQYhb$HTGTP1K^0EBDno)LzC6n=cT~CXv z)nx&IBx&hWIU1rH1!Kh~nSZdHu4zuJW`F(&*d)K0riIZ}clC9vy6WyXHkm zXc}j1x}Skd2^kpL)I==32F(40XapcIExrU0c}Jg`$M**~H@`kru(Yt=MI&=4!flz( zpIM~P_u|V%!GfYo_%MG1o!7I0{LjGO>-`M|)@-58T4qlE=OjXL4~+u+jbReCa5Lx>Y8 zV(xuIC8DnGJlmWRUuQ!Fwz63h@aAM&hRzTF9a&3Zr0e$P`mZCuh(G78u= z!P=tRRLg1`K@7rl9ZHuW5=H8a=YQY^zOcC5ZoBt%frP~M$LFJ~WZcJ?#&IF+Nb;6_ zVfVHUTK*Sb;r$Vull~ePAv2LV^F(J}RFmVq7^49ZZ43P_?d0!TE8-{9K02vWBY^;E z#kX23i=lk7CE#d1-Z0DTcFW^;G>p$oaD;s;DZg8}>XY4zK#u0H*ZR`WCc>KzMJD%W zEx7g>Xn=K3%r#Mv7Wf=6xEiwUQ2~h`l*B_T4C36KqD!@IXD=C(mY}9;G~AeA1*KlMM|>WiJVz@uy&73{Cvn~T0;#ONWa7a8nagb@ zh16xwxvTJR93?M{MvB5rAR{PaA4KY!{eDQMe}2Nvmh^#aVZtnKSqo2(UEbd<^XCP>2R|&tC}BN%p>}s4 zilrBcFmCPK#&=ddx3V7>9?;^$bO+rmy4@co*W_ek{MF&3L`(Ohw{;(zwtS&$78*-0 zI@-GT&4xGhwo-yQ%MWyPUIVu^3tDlduNrMg*i;YLb2ojK9H5Z(jk?@W3Nn zBt1=B&}z)-YJ2<0ciRu#MJ2Vl7RESLB3bk_zziJS2~fTEy-*aE$nv4ciM@{tP;!>3 zHf3+DYJUz$W_02PJGbK3(0#RnnRoQ48>AE zYYUi}>kF3q@NqgLE-6JQT+n5y}1*|6ds1;3OLC-)Q$h=osz1 zaG2xZh(s#~OWj}L5+#5?*%zuIt04vPPN|mvp#={;N3c+U?Bp+sDpq(J4dmks(Sdm0 zf|#FiJL7-Is{S6NEW&+9bfoN)5hiAm71#a?CENFMQ8JUnNm!nmCl&sHEd4atr<~eK z*+<8c{qii_zeh;!Xx3v3s!iK|0NBrFlF;u253sS;_4VK;ST409f3KShE<0=(UKHy- znVGJKV1Vs^78BCXfyF{hRN*ZO?*%tb!|)zYPFU>fd3)ZWwr=)r&ujl7@BALyHxMyu`Z75N&wn}=+Ow(ZjmF; zxTI2pNdSt9qel?}pO;5B(D@R}|hJz_m6-Oa9XLGjau`Aqo zSU%^=NE*yrt{g>O;dGh?M9NvvV|KSxK^Ir8PCtqJ)nF>sZtOk>JxsgbWc|#h^DX;rPABRL^IG;LpaoD;EZ}SJJa?q! zR`46mMFhZ{h4{}+OrDL++bXcWa9OU)K}}A5 z*(kk3_(wJ(>KvD^JXDA-9Qq&TVOlA>RBgua4ooZI*m!vhSsX?RB3TL2GCX(cKu09S z!wg|w3#Y}Yh&PRj+$+(zu#ZbuZSJ2(N!;~KsOKt5b3NCT&F=P>;cSqt;96URAljTq2Iu|OdEu3{b!mNSNI2KFV<1RaQt8s=>2ModEKZ}BR4 zAHtU0(Za_ToF21tg7~a&5fe5d(ZFw@hh@BnS(YL`GXAaJ;NPyiY(?4b)vqg_`7Zzh zlzv3mEE}Qs1aOQxn(I9LxD>d-y!?}K?D{Q1@tv@UyzpJLECQ z(d?t&*O+7mX1tSdAmSwBuCkt_dt{kk~=88xT$aV=nUl`S7c_emz z259q4+i1;dQ_0xKF?k(+=$jh1dkq>L;>jSqO`h)yhLY*xeiQ#sXC2{)K ztwM<6L0TGSNXyy*2{!`NsL41Gl5=zRo~p|$($NU#(oDt})iwaQKNcj#%^p{Z98dQ% z*9A!fnE}W0!70;imEPIbxe*(MYfE=>fyTG)3wZbETVWCx>x-BDt(ZzHempDnyb$Bn z#8hc;DFR1)8y+QFwroZ6r0%5h_9!Q;{#G#k_X&pVAWpe<=1u}S?h2_J}gO8f*xV*pdn1;B~$R|h0WS`nx`fZ>@` z1b7l|s6p`72moNud4jlYOFG4&G`--5KKZ?35xZi=dz)UE2qoHxWb#@Yd zb7gUaeU*_`eRC@h9)<)pR;3yJ<*Lnt{hk=5#VHh5Wn)m#y&9xjkdekskJY4H6f{@i zXS~dJS8h&dznvC8UK(;Auqru1IT;0Mb-7}qq{{oFwulU1hu*&K9PR*jP?{?ZbmSrB z!$4l?wQ-uAYvZr4|5)XD$Oq#$MfBd|io;M9lvpWIdhb zzT8qQA+Y|h65kU5eQOOD_+JYVXsN)W{4KYnmA3a^WImOx4I)u~T3oKEX9rmQ$0LIPw{qVZ#dXiLet znNV}A20{0%BKiEe7ir>J?R7HAYA%yn8May-U)PTpq{}pKQ$kHP{Wf#31)#nkEWJ`o zQ7G$gu}nJVWdHwHh`c(W+RpZRffzSv`n?Z~lS4~aT>a$2!b0u2wA+A;1dT5o$vD&4 zbTV_THh@1W^kkR)P|-6dQ;HF!#HfkM`D$qUh+RRp-bc6}{@wBs%$eLIm$`|QGB-*i z{qrAf`+)SXG+%3EsITW+(c&5}CwL#Gjgp8tiDAGOAPOmHn}Q~H^1*=G(cQ1cb~{KM zyR%w}$GMu5Ai1DmH60{#yjU}_i<1gZHk%`*W6T~gc~x#8Q?JpKJUIdg zjI<*Rzikd3hTqY>V1`hTw7hXe6fF6gd3^R%utE##u=~OXXGC`Fg7rTP%&S90&{Sw} zWRX=GclnRXzrEDWu2N`9r%}ZD(v%eBii0Lh1#-IEjr4&S+mAwG^(CLa@@p2~ju|Sg)8$FZ# z)EZN@5zg|dXHv9iyJ8WUiJn?-oCZRFV1}>)MOl}Gm}Q(Q+_35LDplDy`p$)@wDG}~ zc0~6Dm_fb`VAX=youFz_-7BKC2oqZ~_+N1iOpo!;uqfba1oDv=pHFean56K?FDv&W zkvXY3gPrm~K)5l@hD=7?p3!R@m!iHC&}zlwU5n6SJ9=ZHKmH!FjFY`Vu8zCbmQ<87 z>kc3uKslAN`0Eo*qa`h+UJh>I0L%N?H{uVtg>?g*lHfG^V17MmvE|FVTU;p1-sV*g z_T6DG>+=O?rdxu)myTSy@a3P{%gKk`G;&^TUCn=cxmi_|@n6F`Go^gXLm-DB;`&iG z284Mn_*JZ2eiN4X7|P|gO7jwa;a8Aw-H4GR%!~7iC}{fQXAd0-4qMMt5V&WkorA)K zXbU8$NyxBn0;ow0f=btI(70Z>8jX%fT@*A?`m6+vb1GbsM0#n*mx5U|O_NiDe!m=q zz#NX#iZ_BES~aI2nSitF+nB+ot42>)XSummk7hKtYEQD_rmR6^+~dNFj1?8p$oT0Q zFBnRuxK>)Ky+j2Uv4n9H%^poaL$b!3Xj9h3pdp=L$T*T*qRK?X?c}BEGKzU`^uR^g zEaB{xQ8;bC{Q+94lOPu($IwaB?oAA3nz{RTs^pF@hRcrpVJ98ImXmgbE@*5weC3Vm zDW;Cr_$Bi@B{#w^2De2R?cqK`VzvmqEy)^p0)*%IuZ0U#}54X@G=Ixq&v(85kLQ?h@!-z=P%#eSj7raAL6qzCIzJd(Hp^{Gz>(O>C5okfAm3HU__jfB*} zfQrrDvEp;IIs}I2`jK-eJipL@7HYm7Ewu0?uTToF&<~#wNkm~$5SFK_84pDbK>WUa z8y6>F8Sb7Bo3PE?$tAD(8Fj^WCD;`~?mzPr!Vh)iJgrfhM}7U!S+w4-d*;y2Sbatt zcz*}dK-@W;3X<@SWe;;Fz@^}xlEmWvAEIXu#sgb->_BZTi1~qf^6Ep>=MIRWo_x-n zCk%K13j^Na(CH*AWl=J-b2=#{)jB3;3eWs&D_zLH-eJHor~3AENtuc0)hov%=EOw=qJdmeoEB^I!^1940(v;i zd#Hf_Tw5o9@=WA4;Z*SdyTlaEO6!fwmwz6qJ8ts%!!;3;Ga9ne@WV5oM{>{RICTaM zjEYQm_&mW~dUONKUmExsOo!P&e1zIk=P+u^hB(xg?U{gzg1JhgK7`=VZYqU%vjK1R zgnLup+3UcqDQ6%V(@}v0Lm<6q0<;0KejEssKF>$tHhUK^fuO5EgNci>MyWu;onNnx z{Cd?NeiewLQq69zPMmxXF0=C&$@Z3+Aw7b4fPMjVwcCtCDL=xWg6PAiA-spu$U`j0 z{oPZrKV03k1!U*ik0x}m;>Hi0+XL95uq@v zELYe`Bvb7Fs1Bb^cif(#t;n5(qXpOUw4mh2;z$IgfQ`xYvw4B)78?WF6L8#Jl3hVt zEPWZhI8d8+4WeAsrzi9g(JZ6lUU%QHttZ#iWB#Ru6kQt-W0bB24&hE(*9QyPizJ2q zA13^5-{4~qx@J6dNH6Q6RFE*zLSWdX>T?#o+9QsIz~3z0WaUQ8qkMU3vMxRUB2ZvW zN!7T$Z1HsK`J@#F6`+zts{Gdesm^HGYsa8o4VIjLH}M6BV&B9d=^5z$0otqQJ&@~r zsu4gm-_2wd!Syl>N)mlV_msKH^~dI>k8$h$HVTjpa!1G0E(%$$30N;MD348f72SrJ zZAnYx=E+jB!uQs==x*W`MwA$HGcg7oUcOAGZ0T-YwljHcZu_~-IB6y?5~Q(C0bFjJ zlt)^&az%boo-B>&d$AknW1=V7%S4Y}-v0(tbNM&72Ty`PbWvQ#i{C8{De($9ZolBTmrcGQbpwk=n1Xm_7n0p9TIX ztfHG<+q>>W$x;5zX^rfe`j4wEcB0!&Jg4!+P~eVaS@(6>$u+i-ue}XnGB7jP( zH%CHVZz4+*`xNQVz+&`?pvPDQ?`q_dF0%g)M#@t+T5y=IhqA~;w?uK422Kfb4LcEe z{kt&#l1;iG>mDiY?$&2BE|vNjPIKz1x1C6_M*2<7DSfBRLFy$0txc2*0Tb`L3?p;e z4&Va}YbgiA_y1-~7P8c{ z=yZxTP-k=T)J$J8-QL_5PEaz~-7U@`X~K$qWHq>y4wjueDYgizh-XjI=~cp(}YsDB4`@`s0hypQ|%V zC`nb^52g=^tS7z!@p-JB_^k#zzC^0HGa`(EID-44gLmY-WF8;1r3~t%wZ}j|Sp=AfR|2p3^K~ z^N1@3*0C~iXMtIP)Fne@Wuzp@AuqXL z@|zs*p>e51 zL`;XsqAD%dE?>>!s^77kiX-Md$S_eG-uVnL)t0<(K-FcXoxtgyLE2f~aU6FB{V-Nh z0Ip*=h}6UOFHVvB?XK>pKX;suTqsLslUFuBH<#oNF8xQC>f-Szxqlik#a{*yLr2 zB!i!U9;ht?hz_gUp8-Ah&GxftL1x9Q@Z2ltuB!MFRS>6QI+19v`ea`~Cz=XKjp{-I zyOd}PkgkIGR1r)u8e;8pL6bVSNih7vvE85K5U|8ZD1>fzp`Z~)PZt_ttmg?c&zU2H zJ+s?bm8Vy{@tFtT{zc(isyqp8#$ju;8P6)CbtkD;J;Yn7v`nw=kGJXg z5&RrVTowscqA6l(H;N0I31~+4=ig}7Pka9d6ixX*M@84I|MJwNxz|uXD>@7p$yvs+ z8&QCpa?Sz9BIyCQB`d9*xx)Wc>mIa9OcSrlgS;xG3XmkQiu1G%PZX|s9qoMcSGe=Q zDO#sc`0k1(Lbd!8P>U$4@GLShg?edc59+0OUV1o#m;Fs5qK55Ffs5heTQz-jh zqh;Sdjh21m5pPV%sD?DPrxS5z3bpxl2$IDtF+(xtmLen{?NYv)%98_Zy~C3Otf!)? zF!yHjUi`p&u@ik!%Ybx39MThE z>3P$=wWmISlu&xGA{Na`x86mQ*4l@lv@2JBKHZHT#ZYwMy%^7X@gDC**IwR>F7S(- ziJ@rM_4sIUsJ(`?5(6$5mnAaY2S{A*=?+B?UXfpTMV>B2>c&}Ay6Qry6+QZm8Ibva z`(5A1?e|JHN6BB^+}xCF0v~tO1o1UI6R=Se815=V>vsLltNR|W?wvD8vR>Q1j92$( zxNiI;HmVG0I>B-P%)iGMHNRayYW@-rwC-M_uzqy8r7*}X4a^2(o|X7X{$&SChDv3M ze|<=?l%ZYv8`%tI7>uh6Wg$TG2sYA99?ZTr`pg~895h-Oqm=l9Pw<+rLbmTCw@Vh> z=4J!+YD7wDPU!X?(DNjINF4bpqOJ6eA>|1i1_V~yo>0;}i)^!{>?)f|A!J9P9VLx) z)gnQFwo8I$4jdos`N5|8+gpztJ-Lq!g9K2Clb7oQEs!X~!!4^hm473$4;5KJufbJS zr8p&M%j`sA3=ffFV$>@nc$o7Ju$t7^sEaluSUOo;OLEJuGk@u{6=Ib+G_j+PxMHi& zrKP?ZYI)1)Ph!Es@gS)2=v|H`E1y>*Y>8DDNM+bR)pXL<%*XYmmvW50$b5 z&d%v*)I>BHm_yq!*p!iBs>=;>q&`o(Q*v7HVJDH;goKlzxqsR2BTT#7Wg3iMs+9t{ zvuz+v6f^Bl_z-}^-2u9n1?G*p9htxwga0flu7HHh%}xn8-B?8VY^mwoo*;n6>fmG& zG4~@J>&}dIN1o=62$sq$eQ84;qS&vfA^9jdR-g|`gj0k1#tZe3BF2suH#^240X<_x zS_FyNQ=?tm9nBE^1Bo)M$T_ZH4~OQZ(M>B&U!NjTdr5%c10*9dKvd*BJZ1#-p@-DR zDJhI*#>DN#hp&Z_xLKL5s}9#2;I_7q@SS=}s1~u$v_s(~SFT72#$Af*U$@A21_++* z)q&*E>-y4{=Xq|`U6Z!QxlmnZI{g{~<}}-TDm61vNSVjbELP!y!QcVbV(D1n=*)Ms z4-jFWB-_0W`ALo2oU;L%lNxY(*$?LxqXLE~^oAY;F-B0fe0yy;_XJ51QdW;pOjZz3 zHC-X;{R_WU>8dVBpzv+5B$6%>TmZ>oCkLr^`k9{lyXCe6ESHJTnPxMC4xvY-!GSR? z4{+d`+aHov6YWqhB<2P!wQea)p-G^S65Oi&tMt?q@rnOwg&YRdh2Tan7y7r%B`$CT zC)B_2-m@s94Mk6Se-=hk+!C1;#7q>Gs*)ndP0);)aY=9s_y)@0bp+jH_s+bxF~Ms9 zHlP}7c_;XrGa}8?T+GqH-zd(2xdl=Xm1q`5LMQ=Bec{aH*Bay#ty|C7aWNf!kufr5 zkkk{y)tROPT)BIVi!<@97?fR3w|ziRnRkhp!GMyrM)Mg|%d> zGIFol5W5?%6HOvM6y{^f+%0kFcRglR z9M?X2uAgSkeH;LIO}ZYsmObO`x(KJ@Rbhkq^(l|>Tk+S-m&gG+Dye*6!D$cjW<=oP zJHzacb@G4#G!Eo6r~Yi0%qL&u%XP_BiWnYA0|`Y@=$xqMIGHem(p&vrxM1oaq7-Kh z=2qfh$E*W-NbMT8HA2WxO}wp!1_XAI@{Hv`zh2}=P4uB;s^NZw^%yK6@1J#nc>!u` zu5Y;rqCh6H++*Pb9s@ZG0h0q$pgDg*&GDiVNu_9Ws&Z*W<+3d+y3t9M$I8Amt^3}p z4+2rH5>8tWO3rYDif6@WtWZRP4_x8s_`{a#`I-PHAG6%*%=^tJ-fvt>(cdTzp@+0u z@A6(el#3QVUB-KHjQ3(Z{NidSXWwmMX=$J%w3*aS;Qgk#0{uyuw+$7Y(YA z7gwFg#S&1yRi-obHK|q%gkm5hDWm^gh=SZ3}Z}uh_L=nAdJEia(8!DIaY$)~HZ%5{+q#?xTRGeg7mHFRONp zoGMfsyCt$|{E*{9C>l3qp6<_pIHRIV5h5T4Is>U#lanv3D@o3|+Ii7tvOcQuqv*C{ zD%&(zA!-)S&?*-8^TK8|G;GdffwpsbDo$?%MphBld9Fvbnc9awpa9728k%_MjRaIwX8Vz1ZrzL4-7S2N5Rl-Wdsb- z@G>p39KUGpF-A>C^m|2h9{w8Pfgx8S4-5tIz|fi^6n|B`;^D6tP~~2OdS$utRfg+_ zJ!XExOz%y=uoWU@-WIG#x_N)MT+aSReDGjiJ$vLg@=|wls|YHKP1Wv2u!(kR5zn$t zs2yb5Q3SNilXEH>qNDcn6>MXmGCbjoCR~1|^9(=0Gkha3{0ld_5bSEd?PkO<_pCj8CRpw+PA>0#7a!l8j(MGv&kPQi6(?4P_ zOl)m~O9co$XMl&$fAFg61XXbrqfkNxIfvTij&^8E59rW$%RF*xLq$9*x%K5VoSuzZ z6o*vJ>)n!~9gFUx9sJ41KnVt+8E%>k)GGXgSLq>fQ;5xrlqeF}|B8x9ZHGCqk2NgI6c* z2>Xam&iAS8id+21He#LEJdlo_45FDfJlqbhzk%o>*}kmORZ+3pKj)If$jS49=dRfr zbK?)~3Y&%TD||bl>q=5*6gsC>UV^)DLZD!ThBG08+c%&&TREn7n6ww!bgmc&1?Lga zO^khC0uHD`E7`6rZ-@W3@<*XLx8OlCU>k43#j@jGpiAd%$ny9EuEbF3L%;G_r48kZDm9O{-v zsNmq}IR!O-u2dI4LvvTR49dV*Al&r@Obqju-lSy5UCO(>%DW#juT*Ead4PjE0fx`~ z4tGQ6CZKCsYSQPLf{<`5=w`9TNH(%rR%R#$%XT2Wwp43~$lHh5!>{`6o#5x_`7ahd zlD*RV0q*$l3@M;J7`Lq-x_ZX*3L~h{8&~M)xqm79?=x*t>Mz-=2TGKZb}Q8T`pl2F zm9oNOH*0`hN(@s@Rhz+<9Y@5NgA7`7p#3ng<-v)@p#Ic^g}K#jsECK?+6$kR!IWDz zGrr67;dHiVvHTSxy_&&o0Pt7_b!GpH3IMCw386Q*2Tp(ls&8m9@SI(%S-~sl2vbYZ z^Z+80qxlu3N%^6fj#Gm@XrxRf_*_~Kd5eoW+ds$EADpjTdk~0iQW?>{$ccKEe{!@9 zDzEXPST-YPHGRQU@3YwjIlyA1)D46nXGP;zF(nm1&LKjKy*3-;YCUCk<+)8LQIuN zI2>0jCyw0E_C$0zHUyc$c<%YFP-TuQy}M<`b{I;Djb31g246rxLklVDurl(uYz}At zxH}vvSCf0K6R#WiErqBHQRolWk{ zzLMyY8Cz1w`Fc`72#tC8(4#F=W??{;Dv{oWwxXu5b`kBrIJWo_(x5?F>xEx{gq>4iU{+it-`M1IO zm1S=#uFs>|Dn$g*nznn)5ZCwdgA217y$9$&CA`Owh;qm}kLWmo4wAEa%C-_@#ss*V zWx$B+FvDZuUk#veMOKsKi9pTn6UZ3&bXjYK_Hn!bs9>6%7fkJ zJO-1JhJ?|+&0~R@I?70UqKTjGi^cv`6E&)#r$Y?uTerA-DVMInVvqPZ%de?SKLDKF zrk5EQ>BcqT0tN66bpD@Au>n*w*lX#psZ)x8YTEM_vi%>hf;YXge<)H`1U6!|2>s?4 za7EJJz}*I2bcsh$BL?m9)cn;pSH`S-6nw<6uh-kZ@*XUaOCee2lA~^~0W-1DVSpTj zDI*(y==+FWdk~zTWA{g}z<1mgA_^?aq?{?XPDO|gP^G0E@tqv2($Y~zmX;bq_yDNv z4uBfx{XMZUErGa5x9>nh=$(Qit^EnMA~`3xjWssl-)(*h*adGWxfA~C*T8wN-Or`{ z^2{hz-s_Qj;=I)QCb%+T*Gy6R-t7(Oa?Y@ds7B{L73*HMzQYe)na5TSC8O*4K#{Qa z9AdgAdRt^+nDrwIPitQ{rhm#Slp0{Wh3KJ^O^9XWiX=uc{w?V8MWvD!QSlzpU!+*I zJLaq2KJOTIvIMV`L0#ESF61w|#lYtj*G!{37iF5%icVm1;TT38{xLP?P2v~V?`HEQ zljHuxrrhd<)+1TvUl`Rwu9J9PdgMNo^)UD?q}JQ!!p^;GRCyw@EFqL*C*0VIgq573 z#I0ev5S0kdo5T)#a!(s9L=^0mjY$^eU?%Nu4JllA>|SZVXP(qvGYZ{o5Mr4*w)dX; zP4p_8g{?ddNZlt`12W2Kp37(6F76V7uD$uBfxerPC2}|!+;#yx1TS#)iQ&HHPCmAp z7857;nV%DQ-~sIqSNyApRsl4y8^@xm6v4a0s1#@?B0n4E7-Y^OhnlqPC57~(1+dg( zU(7whao4YJXUmSn2`D~J&Dl^~KVbZQ_YKtstIZL7P5L{UBK@A$&z9u_MTB%5;S%rR z=3fu>p@*?Da}gQF6vfA7poe`Z}H6?{E3&d1)vmwGGw zk%Qm()$WV?pi7402^Tkq>4t)Xby!yHWALkQLc=RAqW1DalENVV$4%SIJ~*9z8Yt89 zg7mX)y}iA`Mz1nu&9O4--g}bp@geWW){U1*9eHcro<%$A|Hl(@9sa}(Afc-onr_Xy z_-P;SUwKQ?%6z@!ZnlPBL*iNxOTJu_r)zHr)Nk1=0^pN zwEhr1B0O`icK)f(KGfa~PN=*gS0Y&;?i12HrSTm`hPUrmN6*u(3aTNt5{_Vi&HxN0!2&)jra zRYnY-wM|4I9zF`ST#Ll(gq8JZlz#dzROqIEcUA?Xzi@BM%)M{^-@+dqY{R`dJ`oH!zfWf=l#N*|wJTTA{%Wym1#xY`mQex3l_JJ9)AG=2g^yj(1hHu-^14RuF?r;wj z$&BJ_4~XED@Ee5~zP&8^{TuBcx7Mm^IW=6`!bb#0mVg{o-uzQt;aRWy^HITHyYgpm z8m$)@WaeK;QJLY#CUrTrQWYEP?MlmVe|{I)JMwq<$%Cjkl+zISe)#56YoTlLXu+U9 z=9A#uum|ZbaWdoC%8?VZzQVUCg&Ov`4+)`Ul2s7RA1~aeotHH(Ib^^~(EQ!P%LP_|GoeQK-aPNXpLZVnORpLM*UJgQxRL;Q12L_b zg^F)w*T9^+ zVltYk{z{;!_%)=J<4Vs|FK9N`?Sgon1_Dt2!i>O9zzFmLM&Q3F>{QbaQNr&ta|Igq z*OO7$TI+|{fTRD-3q27@Y#B*=zT#*0`#n~&d`Al`9nfLzgmeRIN-s1i9G)!aCXqqL z*Pd=AJ0$GPJ?(cBgKS6G;Ez{5CR(k6{;?lVhd#`a3S$X(m6F>PJJPKPn&`oyK~Aw> z!i(JsXT|geE7Ge15bWd~H?&dEUV$KMfOr{$LRv!De3JZgU;X$XYQd^q;c`AxkJAS!ZpTB0(YbblEC( z28k8P9@RS}kw9X=WikMc&Sm;1+_QamCFum!SG_XwmQr=~HqFbj6au#hW<*1`WpFQf z2;%sRE4X!`v}}2&WB+>u?NZ5eRI{V{+$(4*h|@P&S!m!gGR5Aj?1I!@Or`(&FkLb1 z*U*eWO5Y(}lH-y#RDW?C<(ZWkMdr2HzEeFZCjfbUg*Nexl>c!?@yhcH(3Cz{7*hRXJJ9{$XV#VcKrWLM6{km| znww?!b@4h}NsCVJ;-%!cMQ+er!f_pY@0wDzZdGzCbR;m(_ZDMA5FAz-&II42uQD&9 zLFUQ;F558d5fWmm`D>9)R-l_(ycv{8e|Gje@hwvV4}tlaYP}5NQY;LeeY4p9C&9HZ z+;cG1F9%&GrN-ChG%s|dXr;H`b(!1~cG1*7kKsVSRRDn!iweq>nc5`eEUvG5AEvOq z7S1SX2ISIb;T%#6{r#7!`@tUIPP1}`PsG~dzcxbdra;9xH8B(~@@=XGR}S!xS9Jz# zc)M2T6d)%+*W;Wk{ z(~w%QT~gvfrlouHV*<@k(*CYQGWbQCdDltpjHdF5z+DN&wf+kxAC9rFNsKe(h+6xz zF5d_-?JU?g%E9v`AD&b5J2Uk>p*%0V>duC1+oc*^i~Vp0Uzrz|3SUVn=b8AMNe6Vo19{5<&aYZQk;3k;#2Z2!hElONwCX{ z!6vcSzD1|Ks+kB6&y;f`!6!SP8}@U;f6m}#=+2vGhj>mN$+;+xrrnSBN5pt&IImEtpURXcRRuf=on1N--WI@Rx3#WW+6^E&Vf z=af$XThH+7k!>JYHww>>!Zz`Per!#*QW!WOWMRMlIzV!H@MxJ zHsjPBw-QZ2>$suf26w@1r)+i@r4Nv;0oqgmw%-c~oR{sp-zE11U{-YW9dlKT|tL(#?He!(lQ!~#tpht}LV7H-h|C$?;m{`lcO})U83y z$mB&Uuz8x=u(O*?%3atd@}`!`w=ydk_dTrc&1LMI+p_!uY_?0cotJ(PjY7$ArkMZC z)-->(O&*ORm*T8-1M02&v3O?Sr#s?|-xtA}sk0^8w#X@fId>@RrfztV=ryEYYdL-s zT2F`Ssqa1Fg?>6o=cH|0oXlvygtVP!tQ1q5Jx8qd+#ckt>;OyfwPQJEIE(gP%yJX4 zFKo!xKkj!vHqQVLUH)+v1 zsBUCQ_v&hCaAS7!zPR;=KCeT8kYZizR~KoKKfhm9Ja|V^W;Zje*DvB`S*pls9!Hxl zfk*#h5_6)`ju^b}aNO@QZ0@y3(PPO`4+(a;e<)H}lu_=;9hoC(&UR(G+{$+m;twsEq48c2}Pg^i1YMgU}0@r@;Nz3I>Yk ziWS~(LZpRnsv-kox*mJPYhI7~o{N^)X=i3%cT zm`!R;D$0~gq=mjLOsuXEp`=7?I`yC43!_2XId=2blU~Fk=Whe_ppEIw-E%=})_xmfA8YR!z>;`R;(zjig<-+5ayuPw#9$H}@>l zQfcSs$PIW6syt+|Ii{R?LopZ;k-C6ryyHK@c76-y4*hQZ;KZQ64$)dV(Y}})o2_fe z|RA+_yQ) z{EFq9T`4R4-Z*{>%I=*RyCmLZbl`ih*k?t9n$p(bJ>`?NsJ!EPKBk05pGr1`YZI@4 z>*s8+0$*Z^ki5%|s+&B5XnvQh!akz>7?I>*{X}G@L4Ly13*Gn-!6%Sfg4Y=-Q|4E0 zdS-+TVB9uFeOn*CBw8C2yK&Hx{&Lvfi;EvQT=rE1fASGiRwvz(;j4Z#zq)vtcys7= zo9eTh&&&LC(K>mXX#Ep5yb9(9<^B*jwjc^IpKWg_u0>aV zNn2KV+mj^|qf_VZvo;ZhXM4eQg57W5| zR>YY1qLUgK>s8f{b;M284d=DoGNz~*s5?@biRw2K2IE+?7irhfxhH|0wQbT#21Og# zueP>tWFL`xteWJ}do7CliC#9`uD~CgQg2GA`{O0|t#zd5^j!?4LgFsG9D5~eO4&mH zKwE>$8lV~sk68k@ptxAB!NiTNI+=00C-jDFU93rNFYZH~-dtF-Or77v=3ABGeaz!$ zlf4p{MJ}Xy&OXhCVhgrcd_R5X3k6JLh234hLMS6i2=CRZF{X^B-VLlBewuh|W`x_5 z!kNCowg2cL$XDza0xWgb#}mm#;MVaz%vIch$p(%{i$Zz6`_uH&NnX4pTw-;m4*Xi!N>Nm85jsx;Uty@Z zbexxK;l`7{C#S+G+!QpK6BVK~jNWGOq4vqw@PO`p4o4?Sxs{byUkm*g?RShZg?x^Xp>XAn4KO{#ni2_c(B zE3fn)eR$}-&<0?~-0oW|%k2qmT}YpA3t0!|nsJzwq5lEAUc;Q!SzL z>e@7*EWXg}{4;U8=fP896#PjA&HeiCcjK?M%d_Pw>khsQG|j)(zRPb`HZge)(p2 z?TaKd=1bOtrXRxgaHEg?xi*ziQse6~K0UD{{?=#foL2;ozaynz{{xqYZM_+8e-a+{ zcS>oyzv+05mefs9f7IUP;?$78Skv+4q{zWhqC}aaSacfv1~!*)N{>?u=YrpeC?8jz zf44j7zq--flvvmB7hGk;cQs(x@`Ah{X=!X0)TjUteE&z<218X*nZ>cijRLFg33(gd ztVDWvjkEGh$!sRE|Fd=R>8wp7;f*UM9{ZjNd|vo2`o46@s7?f!<4n&2AGUFZ({$RN zjYUZaSI)|B6``l5m!?ChquMCdt$fvoF7{KXG*nA8;1!{T#h|4#>CxuIS?9O4ZR~5Y zss8h4wdNAVzJ)_&o$4g(=CYfj5vTKs+^y-B&W+REuij)l$1H7H+5qb0yl|{l;xa)R z?%iEhy_wgK7L_<@Ur%!4$a;d3MRV}`JNQ4S@;JqnqJcUUj{Je&gK%b^v4PXpu+{m2 z#}Yn*Iqeu~9Wq3Voy_(Hbs9QgE@*}K7OxO=up>F(b+*#1x|E1ATJnGya zsCU6H#))dPm$aG`K{n4giNQzqef7K%Vg^-Y2IGd>>qY)*f=eobJ#61-=z!Wx4NX{i zhZ58y_i%LK!aZ=JYZaWGOKa{R&nO6{u;*YSC)#y!;+Y{eGQxp5md%B{>gAgGl`M`o}G+ThFM56$v& zC17$eu=gFfX{fjvQ08XHkH7`gr2GpPxK4M{{0;016NN^(X5p&jW|(A-9pa`-&sX(` zk(M-APkusr5~(_m#IT^&&-A1#^II^#jR|pNw&gaHGE&@G>+=|GafY~{sItm7hwECe z6%G@^d3!SWCY7Q83Y6Hw+Omye)B53Ms_||xx(Mv%#C}q! z+dz>IWoeZX#-iZ6#pyzmA{d|b?`Is%_O7+M(i))BL?$}o4hn-qNx7T!uQjivZlXUc zK#W4_u`{*qys!#2>%w32fQ_Q3d}$+m(;KaJW7$Sf0C|Ha)Oxg#y+yN-N#`Elu~$?N zyXiNVyH$J?Ov4@~g~^onp^KI_@oKf{qJ^#h^Og)pxesL`D}{~bY=SRnd-52#pup7~ z%RZ5_-}srzl7tIF8}AYJ8UCM7A^uLQVgGueZ7%XJ#};FMt*RaG4gS4m?=@W(ZMN-` zWB*I=bC6H*#>L>{Ri0~t>JgQZIWcl8;13$f34$FJ>F;^T7>+dMjK0nA9b&OdP5)c5 zIK5EOimhU_@DqdQwTJpv1aCSK2zbrdP^SOtO0&O9pgjE2kwrLt6dS+LN9S}dM_$fs%I0Mv3+vXl%s z=eZHWd-ioFL;YD*`L+;pbIcq{igB7gp5Nao{Q`WkEQU=Sk-YdTq>)EN!{oXW~#c>0wvEuR;sKTz>AJQJDYr8}n%h^B(c zS}EnzW0Z5(gFM|t&Ff$$$=0sXU9Ap4WjOXzxeuZaMwK1cuak!r?CM^t*5fZ&s={Lk zDkw}5&35+3RDP5#!%;X6Frk3OZMHu!NZarRS8s=wuELTX`(@no)7BkGbZA2s{@%(Nk_v(DF>B3EwcH9KUK$T%ne|haR zY5-&W-;efN8TQ$}W0zcQI1Txi6IVmE&Npg2ZpZv^Ea{`<+LZ>FW2ykfJer=a!}SgY z-ArXxxrQ;;p&HN>CuLQ{hoWPOH~Kush)$D^q|M9!T#&v!ymqQd=4P@Nu3x+6PnkLs z6g2ql^)nyovrq7sUEb;Ro8rFU>-8m|;R-o|_$`Pd6esf@?HmFlIRO1CsN66=w~A6^ zzT#3~C=FM~G42m4hQV!KBA5+Z>*76hi*P@DDSeev45Rck$)vx56X>Hpfk%f}N0$j} zQj+zXb)fJzh~}J{=#KH9fA^PI&?K^&Qyn>uxbP2Lkx3!Xbq8-GUAjG$*+NHfcso^e zp%P9b&oPayR#mUIU45!)izIZXId%7y)i!U0pvU5WTOT?Xo?lq)7M;a@St3 z=&d_Bs)p^Dt96MmzO+j z@TWrroFw!>CA%O%wd%XXj3IZnR#urRJ7~cADyTLY zhm|L>H-T@B_L5G3518IiEjy-ukmm7a?yDlX0oYR6DSlq>n7to^n{fV;5PLwz>>had z>6DJLIoB+2ETKF!g>R&q0!%cw^_nmln>omDHwm=uNghiv$ z&4?2JtOf<=wNAwXFuIvS+1dO5ru|8iU;_kL(mOpH!!OxWoi?}idgMJ1slZEsQSf=Q zhahs*lj1+hjyPcbde5Lmc#_2x>w$;amo!CKXOgs92K?AVQafKc#d4F~MvRQumnZ9L zS|`)!UiGA(Sf!YQGvg}$4cv3aO?@S}1>XLviNzP83k+<0U*^&B_9;Fr-0j}~FxUxJ zV(C=yXrk5`()?`cLA(n3Anwq>L(U#yMY%9V+n}+9j7-g2&un(qNq1tbv#c$v4LG9O z{3Kb~Pub#(<;91uHMUSQ5R!jBs@4XEmxqqBNTee;nSa2#6Oa^4wF>Mfitj9dpI`?< z+s4+}Q64glLU2O<(f;n5TXnI8lFzG@FnJ<#;t$^4dL;lGmr7h&%ErI-+^D=-yx02l{%E!90cBdqyXD zwFQEZ4N=B|$!)Of2dXoqasAXW@|?TDv;J; zh3U!te0;&*Fzbl%0_#e^Iw*c=z(kQfQOeQ^B-wB!fK&Oi(8e%_GwzB>HAg5fwc5m- z+vgE3`0UzSt`bqMz?#jQ966Y9@{=Ij|52Brl;+ z0GqrI4d4<=$WV9+$z&xSMyH~qh(VwF6)X+f{o}N@!*EDXPPu`fEC6342R^! zTXPM9CNk3bAK@<6z)?t+Z8Vh4W-#SYH7@g4ew#Ed7>VKh2186*qLlf+n3q~+!9KfD z`V~Q?O+eu#umY=TJgDyGTqp zG_nvmru1jQX1IlrjKPhq7VfmQ`gy*t6@#pyd=O?G(BqWW3=qX>Ae_EVQUMUXyHK{n zi|ne?U&1sp8Sl@*$)G$&(B17+$4I+g#^IwkQwF`KqpEiOI*nI50x=zw-k_3xBl@`p zgrT0?W8|C+tqxKAp!w=Z<qJvisyYWnm$`I9OV z1f2N?!hi!&=I>`1%P4VKVGbPkkI(vvy-%~;5#So+)dzz-)KCKe+d1jHpkgastGQ;9 zJt_kaZykVcfim``j-77u9H6D&|1NI)i)hI}Q|Osme004gy@9iLqa&!phyD)ZzdFS+wGYD5f8}~{L$qB+g%gWrX>nhftDHqj4?g}HJM5Ss`n{*hpaM1$ik#% z_AQJ|5;+C<#XG%DxUn2AMejF=CjSb;+u7j+=!^=r1x%kTJ`TRs!SS~+bhBF93R@-2 zjPg-lRDVrtEE*;3>32_2XT7S2J`K?5)>w|^ znm@ZTq2?_hgKjJPV?aARA6rUM)bYx?o^vm=je4Rc^djv~W)aX<6jYXF=DDPtX8@Xd zT#?B1UaP($J?{a)5POg<5i3L`9V4ct|$C#~5c(Hij{%=W8clhbR{->GTil5CK z4=!?uDEP!(D$BS`w#x|y@Tjo8Ps67t12~|{na_rs8%o0Rwr32t??SI(p0(eeEazN8 zttd-8Qz3UQ^*GRT%*3NgCOh$Mb?G9O%X{w zd*Ed^y%$7>>2am}t8jF9g=YpOz#h{62lfzT%k<;L&{Af}C6}xC zoT!o=v~XR%zYDmOGwKOO7pV04kgk z?8P<3;J>p^nuMV!#k)QoR%N|l{yiyEvFV)haUl8#o6wt<6`@*_c@ta}^DDZ3IVEr_ z=2#AvaP>tK>E7}O0XcrrdJL(h*973eFHfyfn+p-{mHv6_=zm~u51%kt@j<}7zs=2b zU%3q5L)yKnxwVTpY@^%K{*}TOJu$~%OoWwu^jhX&uNh^(%S}5cSov0oRMV0?QJf5W zsynS9{JYn$%Kbu2I&062w0KVabXoQET?iOBD*5}eIv_33drNc8svlb0KU^eDbr3w- zwU@7H=Pv+?G1ZalKU1?SmOo8wck1Z4Fw<0L=y=0#PiMYChcmJ6+`6WXVEkxGWdM3b zdY!WT?^vry71rlVM79safBM^ZTI#?}3uFRFS5c?VOg=GOet24D#==f_4RfyeVd8iv~_ zS^k~nr2A$z^Q&)>omT}jsJ*OJOd$s7J-oZs%WIFg3l`V(}!LP2`7MVVp;w- z_H^=a4E(Ru>M>hb!r>%|W>rB9?#bZ9dX^RJ%F32;w}fbtDc@qVn+d~wb~>0ofl8^t zg|GC=d8|#a4(eU3t)}3)Usw0v?vy@mNRkppZZ8d{dO92>^9)2$@(Mz2;(G*qS-hPI zKkA%7IaORfu&@~1JSpvPaPvagOf7+2Yo-4*&*<1Nto!lFX57{W)7+s8nt$@QHNXZR{IQK?)PhR2Fv8S9Q> z8^7VcuFE%606_{Eu?xp8snQPXPdT)2uiFgI_*s_vz8|Tv-)Y&4y__AA zk+p=6amwr?$Dk~8Z;RdWXpz1o6j?HJY4t{ChKJofQx`i{cA8q1q$ZFB&~Tgy9a|_H z_jQ>MH65~Ys}8Y-bP9g)V^d3CXajl34CC|bk~7cor4V^#gF+y zo=X&Dqr4r1y+zZY+J-(;#eILnzoI6o&8y1MTm29{8K?SI^;FIPHA^zkUr?xOzG{Qu z@2jcpl%;PfCXV2l$s?g7I{EWcDt-ciL@^oc_^*6hkX1VMG*2IT4amgvK-Vp@ak88r zE9lD6Fr_h+Nj&_I(+~Gs!KOc3@a{Rc8zTtwmJ;~=}>GUZSr=8|4ypp z^|={GD%Jsu$s!<`0cY}Bmo<0fRrX5?Nju+c#R;v^q2^!1h}RE6aScvLI4DE){?E(* zX#oI9$WGHy{^}P#+Ke3}_6}rmlA#T~lSW@C?UKD{x*{Mj-2;$FVO&9_x6js^2MxMIjZ|MH{#rT56w1!ZgpBN zsE27(eBfCW^1XDUqErN1*^b+7Kh@w;`8UeLOy9>8D|>si#T;7?s68BJm5lY&4Mz;D-i?T9 zHKO|`-O^83M6Ri~@22uU@^jDVhdc44Bs3~==k&At`0$*<00NW0(z(LT!;@yjS9N=km#gm^Em<}IB*o4nwTd5 zoMX4X%y-sHQ*)3406J*II;c4E$#jFv`_8KQTpxi-q4w4|t16ZQ0ZH8c?89Km1$n%9 z);rU_We2E<2x~WTW~krvz6Q-kGl>hc2?xX0@Xm|YC10WbR=ywaiWb-8*ay4I>DhjA zd7C@`_OO4_6q~)h*hN|ek3=#*GY>1nkcfN-k-n#>yjXs9mww7}_K$3GloH<@)xZmA zQ}Cd5VKF^=ZlSklTT70%%fdRM;5uGkEAJ?0JOjvJFij?lWTV0wK^ddYy#w+H-rxb} zFf6@ECmj2Mo0t;ufik4*gg^8OyP;u=5s*(o%CHN7gH`)I$h#l}trY zlBCQjT6!&z*2h#`4tdW&tU|NmnFw~c_BJ4AE1zAD>msA1F;a$$#g&->1O%RIM=Ga| z1J`cx5ltn8lDda~c-&lY<6glWE6AgCg<_?5;gV+Jz2ZVQJRDqN9P&-?s+j8;XNT+q z=zmI-&nYv?DtD^gdlqpRKUV%SZRuHtnwT6_J^@viDQ0cR(G*)_7l)oDwC?`9Q-*o| zcJwm&dFz!g-vYiDd%p53Yx?gSAAZ!H?Jy&63mN2%cqgWM!1|JvBR zn)YZKF;y77gk7lebI7t<$z?qZ!oVy!(ucSmNV?1pW=Z41J{%q||B&SW-0wI|?fLR8 zh<=S@@jF^#j#m0@UI=p70mGY$@+1L9p&yvbsY0@Oe9tA{Gbu6-;XaB(xZ%M!jVHau_iYY%8Ucw^=qD?CV=)OV zPlI1|hkwg3{km;m*lmm3-?WaJ5falq8Cv2BkEx&$ibd#2*HwFM-Gg!$fmJ$Q_g$Y_aWHH(I{y5m6z_a zfml~vrPd?-m@UlxF=L0QCF~Xz$80;drg^#+1c3t{1NPklohj$8@hsghXgDzd{%0( zD?7Npk9#c(=*q&ENekJ{W!rb!{RW9IlgCnNoM1V!A-V2#bvQxc_BtkMFRhd`=6!oC zdmBUF0m%F|F?nM-;VMh}5ecX)$-^+Y&iZ~x7YNgyYyVn)>g>A6wVW`BlrBu)RI8eh zoV-5A<099@`xV*-E8kvX+}_0eN2W=es9Ap{_33adM+u{F&ES`!ZQTLI zYCWg;eG=6U=tp9rxH8nd8mNJhWxw{nWd-h$YuOOgq+SlH1q5d@NRI>4a1M)w1Wi zPxE$eAAeRbEJH?;UUx3{b;$ZQ84%=e$Wa7J)%{Mcps{w@JmNPq??NuLxwfw1$&px% z6+jVe4b>7|B=upLikGECjfnjRuenO=QXol4kNJMfobD?ELG>7&SF}zOO1Mjj9p>Rz zSL@nn{+P7ON~F{Ls@qIz+WH?=c~Eww$yX@(W!M5?sHx(J#zTLhNYpf%bMe;sJ$^{r zaZaY0a<7yw4*LAegU2gRwir@!w}v3QxVA%sqPin1YtZ8FWKpkiN9yJka3O)dj|NRN z1SISA+TZf+XbU8}sE?w?g$m^X zQ`s17($j{Kyr8x~Yy@^z#*L9&IU9q@L|-hEfe86R@cae+nxVOE!m=sL%S+WxsVyXf&57JI3Ng{i8~1o9mRIbUCol z=HH|P+(=NJ@Oy9Wh0GK;&h($?trSkI!vd%I9NwdNjm~bOmZjSTt;muXC**t6Y)A}f zn%K5$&|DyNjNIRlB&gOv6{i+6+Yj1pc7dz}luEXe$P_~s(mLMa3{B{KfK`3|rn{m8 z0`e{Toqy>;X9+qEe`KL=yK#X^+{a*DOfP|z~# zBuS8RWs&`H=}>8>mZP?|0rWUJ3mq0F#=^6%Sv-c^wC^2}B}HGXS?^I~&7gX5%xmF# z599jni3zo;Ce5%(X?{qCzxg&n(MCln7lUe3G=LP}1qtEj8Z9^vIpGxqhEO>ar)C11 zA-_-F{(~{q^wE>$2?k%C?5abKLiMqumB}`yNSw=6zVFEt#8$ri`i{GcuI7X|DOgRm z3*kMVreLc@zG;jeis+(gHmjQyH$37i&A+=D<$o!J4h{G*PVGp8pfOCU zOS0g=vq({iV}9~LeG`jxD>eJb$9=0Xl`kq|De0Od}4p~%nqv5yl)eqKW6 znOrz-D6%=v$aW8EQcTCL!L_nI<~la(njC3&QOZ2;geB*9B`!DiTRb$!dMW$Y4?+!? zVKz^ieFUtmT&SvVs0&cvE=uhpTL!~BMZv^R{=W&nZ=sX~Rpkd3IJ*NC7k%67^Y5{b zzD)viQS$WE;o*~0UhlMn*oH>r9gAO!Z=d6)BIQJKbBmGuQw?Q|&W+l?HrDdKZuC<= z365q&&Ii4@UR^H;(vjYp)c*Nc9e)Aw=6KQQu` zk4a5F=@kGYh%qL4-bEQVBM|tbcywOkbkM{7{ZKYbuG*G!{W=X)U?6TgEKH3_QkR(s z9SK(_$6cIrN$M7HQPlMMy%;pzn>3|`G1Kn2--5FoOjdsL-fmhYA}f*BzeA_A1cI1x zron85E)`}vI{A6sf=NpzJKGe6K;jDs2f1PPFYLKjCmf*pD$aA=A0Sz^d&?>&58Au+ zYcy$BX&rTAT|q7`IUT)umxs7A(ZQ95kf9C2kL8=LZefdtpv5=DYP5BTUf_8KHqCvH zhqtQ}UJVaLAv(L+t+W%i=&MZi@r}^2hOfB5g>355CVhd3*51=AS#;*0Ohr>2GS@UR z5=oh%PwT7)UDmyM!|feb%5yRneAc{& zwwwdw%I2P(jWTYxA$&K6P>c*(eon{@vt7v_|G@h$NhP5RA-I@|HWqzHPZ&%Vref%( zE6q+eK;sz;TL^4Uxs&zyS{H2F#~YWWt?0DsZLu5O`}H+l>tg3c&~;#9Ce8SUCpkrE7K*=mv7?Jaj zRrd);H1@b{0p1_@rdBFyg0SW5LVfJw3di`g*UwH0)(VQ~w#y?=BHaTzfJ$T^O~MdE z_C*};rRevblvcM0-*R$lNM&I&XQsSeoSkDaH9pOWpMHm}pBC+Ue4Z{bvSdFzd()JG zUJDq4CJ`UVwg`@@k>}a8q*>ZkliKe7@|zQ{Qr1^0pCi~pr*#KTSqajR1LLPI%&hS% z0U4$$~aG$2Iqu#KI5EDjzf2QntwGd z?W%k{y09bVlZswOCX_RW~H68BOjT&j}r4VF9fmv2(x_XL9ej^?o+nKUNcUR_Yd2|dYT#TLTKGN5#*5qGy{riw^NonrZ?6dca)TBNt zs;Q6*)|fK;n5PW@A!R%sq-5=J17f{`D;k1TYQTaJ>>OjNGx&XDPQTcT-DCx^J-w_7 zbhn*@NsG#RUg?@Fze~1nCfiWzi6s14v$Xa@N7oW*Vf$aFI<0-_-=vkJ>g8G?(+F!Y=zyx6Z~kt#Zc} zlOu6iq$sf#Bdf{|LHWb}mnSHJO>RRYuiMq%;7-Xo=s6!Y+K)g@XO#Ha5|OBdIrirF z4=pMWZG$ptAOQn=N);NLHCgo-@@8hFIdEfT4> z|Ckx6_+RHRv&go@t2`6hkp{Lm>t%tmYB)dMjDND}WolES+MZs@hE(?ap&TX=JAnU2 zKe)U$fmyyhs8Xz@WcZN;yV&BHO66@K81MjKpla@paVMYBw{^S{+g>G6Yq4wqz zTHuYVo2Rq0*Dr~h-EzR$iD9@(c8_88Olj@`KZi)9FA0m}WGn^lUh{AgxLT_NIGF|t zHu_n#!bj5tfE?C`wD|zlR>Wh{s_`bT-GJ)UU?_v-pQZF0r*BH!EUTV8EYp7fjncW~ zLF34djIx`D&f|GOkC%ROd=k8$AF(k^DGJEDNXT>0W-kKc_jaa&Q!AdEC?T^UN=qPJ z?Unf%SL1#_$h4OH4C`?`=8_JruPUezF4 zA{jKHTYiXdF1RY@@kNS|Bw-R;vEhZYuEF7@tdDrG-2eeEhn14*Ee;86q&qlB_kef-%xK>0kC z*yX-%B>u|+DWe-glH^l42~AmuNRo~NcYfa-FCMb18N;3pg#YtXI%sz>8RTv7GisDx5`t7SVl5_n#@l5!>T1U8~VRVuNBmGBzt z;TPNzxrfnQ4RvEUB|o4ebdT_Zj&k_X4-fi*v89mO4%g}N1~tZQR{3|GQDn}a zZvH>3K`5OC%d3QGOxBC`>|W?a5v*8qNuijzY{na;;s9(Le0WgOjx(GZ~3( ztNVbGt;m7@r{q-PdPz5i?7KZLy?05yul@S%N*{+q<#1JdFFR0N=3|+Z(P<`n03Z4U z=#$X_irE0)=-ZU$qLe~T2&$6*Q7GTO@2HXdXmTifRk16ddly z5#=D$M?i$=7F10paGHL(AyBDA@;U+n^Lu_Q_gm2Dkku~k*qsnrQf1zUm#>76G7-|5 zjW)Drt1WW>^|ARvAef`huAU1;G%(=E|TgGxtM1P#_!9&|@SdZsj5V$h7 z29{uf<37y=NU+k)VU;Ze+L%VYV_oai5*=*)d+4uQ7Gu=l0v(p{JzfH$q{<|U3n5I|q!TeSg^OqB)S#SAs-t6v(RqsP{9L64woib^&Id$w+3#Hts1v^esxMR6`jTSh93Uai>x+F)y z$y#js)grOKNLqCal4Wmcfpkthdw%emnYqb|!P@Ncrcm*4(90G~z!g*qNG6rxaNr!$ zD|I|bh^>xiG42O;mwX4{F zCEN8bjCOy70?`%dG{(YT*#c=Vq#_qJBbk?yf|>%GD;UCtiAKd&wHEq}+S#1Ln*-{% zwcvbJEzH`UuD7;+^;W}`_~GW&z)5_Ve?D3jEg)MtuF0OW*0k&auik)%+Df?}tk%}i zQasW{l~{4=RFK|QhUo(4Rqc|%V^Ify0adCdg3dZE1ofQNrD*k*lE{QpoCtAJ!IyYchI-{Yq{4DJXL^oYF`_i)+oB{4lRhQJWU(kgcOYQXaa$1?K5pYGKVHV$8U@0WVt<$t_tey(wr zn~+PjuPT@X&Gd|~;YRO>zl_P^<_#%ziC$iG&c)jsVK+`o2v$$6K6V0 zu1DDTV6u=wliYA6X1Ogw`XNVc>q#He;(=3UAs5UN#~MLOWBs^;yTxIlcyA(EYpE_( zUWsA1=LR|^23mh3;5inM$hFjEA0o*Dt>533-D`OnY%b)8y>S3Nud)~+&=wu@aXX8$)wLB=5R(bH}w0mzh zXdUoK%7uv(2@f63CO0q8W<>R0840tbehjFxDP!}hBo~I3`!3Y5!Rdk=kWxh?wL@nv zy3Ign<@~UzW-m}U$G|2w4Y?C_oW(GE_!lPS;IV96$Cbv`0pel^x(l0^kGn0Q^CF-$y2+a> zisM+kPP-ogD`&nLr|F9-c-xQo-Cp2{CjzROrWUDu_qZUSMP7THCkx}K$zNG974Cv9 zG_nC%@(ZSOCHIIS8-!U|mitQ8VEFw=UbD@4K}x#7s?M%}K?;g;tyWI3Av!yh``Ath z`Sn5`g`fD{(|e;G)V8m5&5PCvtiEdA`C{L=FIFS>U|9!ry4D=)q7uHn0Xp2#`D1eR z$RerMjA4mi7TyDmL}LfSEE2_J$xaI|Mhz(T3HuGsqJaiUmm865nJHwNem#B@Fa#jG zmh{;RtZ2wL#Qk|kDK+E8k}wVS^WSJge#mPp$BQlAj=QOCI<#Q@$|yqAwm|WJhd$c` zvANaM0PF|EA|J+uy2#e+mdp^hM!Y~aG26X_bX#jWAkDgpaJUiT+cyW81wYIp35(_Y zAq9(P!h9i%9uN})V{MhN=SUHr$W}3|f|Xk~m2M??TR`7+>fIcDFn7yg{+DI3U&9sX zC6cRB?-jw!EsZ^$cA^#nuiMF^r9-`I|7?3Q+~E~rLR@XSg|V5s@#2^T5%crKD>Z9< zfYOqtvt1k<^jZvwTF!RTuPTa<;Oii{n2M@%+Ed|0Q7z~Oa)h0bH@R|IWX>(s)6ue< zsguYEV~Pppq4e{zNiou1=-9Q=1>+0q;W+mbG7SzzDV1t>&U^@P9fK?bt1)B1UBR! z3Ea!%9L3YS6SlCA9E4hGsdaj^*Mb#UN@P{>CceT@Gz%SMAxv7xZ&a@SGpT!jHo4Q8dcWb@q;>cR}LU!zW>*t@{)5L6y#xidHN|g5atCm9Y;SZ z^dyZ)OKpk-O~ji?ym^{ma`s^%8l$MHWc^SngwZbNB0qFiO6cN-i7ZE7K;uA106cu= zq*Dg&z9HPaaIepo7JdK;k-+_T2RLmg>{&(mC5tG$w(?}`qIC`R_iPrtpXlZ6K^6r% z*Ey@jiY=m?U08bU7nPt}%!DDm0W;2j3X^80AWN_3< z!>PTahjMFptOO&bv%M(ABop0yRVwZcQYKI4((A5z3m*&ZWS}@%MQy`zBDgu){ieCs zsI&$4n8xFrYGDgv_sEsS?!}>euB2#HwmkUoWwAwj=98_USpyn;ENt}<924_qjmokF zA)GZ75MKiOGZW`vwu%WoHiegyoADp~bwoG{S`oGjocD=YbwnpPhEAH=HT(lH^&?!0 zbg_&pJclI&4oqK@8a!q`Wy9UjG5VDRVO;A?)O`X650trQnXvfb*B8SPJ#vmdS0 zpe%JXrfxir%E~7S9 zSX>JcDBmOA-OBA7&&h-KesS0Ycx1_AHKAxYr){RJr?x@ZJQxJx)!vV`qRvg|x>jcH zUo3ca#`|J_=Lxs!z<5N`H;8LME`6v-`HFX+WTz;TYNFUpY7kMSP!!iH+he*dFz zl!)YqHw)R;LORQKan+zMEX-NSRIiR>-Tj)yceKES-Uu-V&%+sI&AyO1m?!Mmw|sj~ z(I8vcRp-|lR%**L?Q5By2em9j8_(10*r$SxMjtH$>$l?&49dKYxs+}rc$|PGp08Bsy!4%1UMhI}e%J9p!i*IoOK7;i3qGG{jti(2QfnKYyA zv{d|$T{kWq^FUY7zaAdT>np%v3fGogt&8`%EKskAEjr{oM*)hd?W;BxaiF;Y%W1b49K$TJ#gtj7fwRzdBX& z87db0qz>fTsve`fDvKkr9vNj&!Vz46xrhoHADcFJqY09Nj&HU65OFA!B8 zY#qLaw9v4?nV#inS^NdS z@|VO=Lf(=*4AxzhsA={_-YvpgU+D{oh^i+Vpx1#x>I0ZL@LugBy?)k)#pYkd1D~O^ z4zzMS%o;v!(vkevz0+UA1u?w&@m2Ib=h{WD7v^_+y-42*OUVzcyD}}+2OayQj!8O> z*y0l=!jQcW%Wk2fK16=smfdweKLX!GlOO8bA@ou}4rQ+2gGG~btQxzEu~;kXiR?ii~CdO-NoHG*N38Nq2n5nuL18f*X#fM;HtOZLL+PE zm!{x@`*Ry-OY9Qf(@3ev$x96xiA+gajjSj0x1YfdN3i&nsA_B2qgry)o z8Ql)TmLA8~qCdpQO%GW$v+vnShN?Ts5o2)hS;PU9;ki!C}ez=@~rFab=(aKI1#fLKz_! zu@)w(>PM3C$<|;4OX*tf0f!Rix&OE%Y|{0_(no2bIh>B57g%HC{bz_rL?zgk z@B&fmKx{-E^K13Cu;q`FbJIQ->q8BTy%KO*K|T89;?ZN5H%%k=cpo6&*E&?~T$^YZ zzK`r|Tlb`;pR%_PKDeDK1sz#j*vrLr2ILC{rL0DH5`|f?Ej!42B>>K5A=oHp1?(OE zg%&uaYku7e$}8b$7%@TAvTWk$r59C#??#R6K;WENEz^ioCi}qwH;0qyRN1o0 zB)4K)+lIfgvW<%_BVb>uJzILAt*1jE)vM&C(OZblKC&mXX60CQ#^A802l!_kH9$Kr^U3~n&*d?`? zjShX%ha_*5rA4cqn6K8Mo_?;eOX_fx-D-vF7UL6c*8PR(g04VxGm$Ml*v@7*SK%y9kMtIpjPKTCE6 zTWC4E{w$3et&@Ln(^jhd_7sXd%8ZhsX5$=S$ZTv@mCf3!xA9L#mUA<|W*AOKIY#)X z-t6@}A8@_=tJ|hGANO~j{Cd4UBXepl#qY+D4f;05ufi+Zo^@xCej~@lKRor+GiV!( z-1m6*5}C5eu`&kUCt24=KdO28ane{7q0{`2Fb7&r0PJL}JBIY0jSJ#Vz`X?^MJx3*IOn;iPXel6Nq z4qqoZX3;bT!lVOQk8=FCYcRWKk_*X=Zl>8eA$L3*R+VL&7Fi!oK#qOQvC+C3x z*wOR3`oScWdbL~RV!xDNQ!C+mWE&k&??<)<)xShOL|&D>|9aoDZ7MyzKIu834DDTU z)7rNOzdZhyRc_sp}fqo0m3O^Vr8Co7B?jD)^I}8a9 zsi`LDG)Qt|YwIoOU-j+ur83DJOBsp51)3u9XuX@*s1Y|=_$)ujIZO9jc$f3|W*Ktw z<&8z=vpcL3hW{X)-Uq%uA7?h(Ykp<|jdmHf_FK+o(L7}6B>Eb6f6Cs5WnD5g#e^8x zBR_n}RUPJCh|esgdRHB@LGLjbB#qyPUGZu^YJXt=)vcN$xLNP|g?~|2^4;;r-+s(P z&|H+dCq{hkIE4KpUmt}$Jj}r1MN80o^Y3eNdZ3 z*d@~8vCIIc=u@n!pbg3cfmrtFfJv@C?M7E7NS4UtJs>i-t2SR)c)vFmnJFb{+qrKp z@JtNSei*T9ac>_xWBAeoDBZW!Ebj!D6!hy(=JGAsGW@L->Lv6*U&13g-Ik^h=1+I* zPGw|W(JY(YgD|DW;fMWOs+^FS=<7Bkw&(~6)}aebzn8u0)st*I@wB6}-XU|#?(0Dl zj?VW#hO=AO_<4U`BzmHn(jP5b7SIexs?}-mqNLeD4@byEuE>7z%CdijxoLaJu=?84 z-}Y2%b9!}Y&V$R|Dgkh7>h=1T`!_>IqBNgL8r6So{6K$_v(~jz9PNI~+P95Vo=Dtq z&u^kVy^U6WQE4+h-Gkzy_m#-7>Cr9<{SvA~+rMxI%ke!(ti6pc1Aou*=al#9w@{C1 zm(4Z?+0dU&H?Yh>QoH8g?YkaI0f$=On~p}4zm?7p>-K7!Hjj=h|GrcXxm15x@q$gR zw9$qB;imTL#5rwu-2{sP>JHC$cpF<88av<{aqM+noZ-UUdqjxA6xNe_vi0VRQoyc| zS5b!}cRSW+7-oC;V4vL$FxUe;2!bhuhm*m`Ou6oe%h+!UK|b|yj!-NVrbz8OPPaQWt=?%8b44t04Q>h1-;;f-m&brYeqop5-07*opVDeJNJ z_xwrxMx=FeSe2!1Q`W;54O}Wn3B47u_^fd?;Nc8iBR>rd&)x#lAEzYu|L5kwYdBG7 zre<1CyK`);Doj1VSIV)+yu{rD;CMZ9t|N^4A_tqwj|KtJ;NFWBv|C*RuXC{U=g5&u z4GjSX1)?PctJ+10i99X%85=LN;ZK)3h z>xFi9y0w?wb$zhWXoFtF6L(3+{&znd6uhQvD)Rl_R%>$TFXeLGZhEloi`hYYHv{NY z`Qj5}Y))l8nj|@B?FUGOH;irnHo6f~%Q!6`ZSQiAwaB`futag3$4o%A}6zJ@|1& z2BYTbN|+~q$KNBUMKZJ^8lP)>G8y@=Rw}~?OT_dg*kLGIp20xp1;ui3URv&lTAepI zTD<~bye(4N@hIF?zwQ&r3=>*isLvcS^HWik{hz12b9EPvc_=R=pI6t06~)-JG{n-@ zYDDa&QUVETJ9E!P*Cc{m^`rF$UKHH}2S2j&S6W;3BeQO)l9Vs<@#nWbmpm67=P=qs zrS>8UT9yXx{K>gYd(qlv>5Fz(jlF25UD{EL&hMCJNH@}zV;9)#7oOO&`V#iAMzg-L z8UByIWEd8D5jCo@#f12#!sG7>^U_wjr5MS=hlifdaqxKoY`tJ7A7?f6OK)^%6nujd zWa;Tzx%xw?d68FdpSZ4aLiy>+!Ozs#doAZ4|af9z-IW zOH}3`vRuO~^S>U_iy?GMaxHVtvFsmpa%<@qor7WlkwyzOi}_eA@;13N+eAX)}B5m!G1!Ea7cEi=ht(viCz z(Sf1HwAWZOLLc|a&WvTrdV*85j-+Pb zr#37fcIB1`2+MDbV=J+Oom;7E^H)sNKlu;r%Y_80Q)LH3pL{@~SZ#}uzXuZQp;XAL zF!y0K`{nH0^TT`HavSJv21c^ly?qNe)yME9a9ZS~GKkVx@ab8?Vdtm3=p~oY0sqch zo5l)xdFWKC#C_GMrcYSq0YrS%f>x2tmZi8m`pi3FXM>-!y9z9o2QpRCH>X%hJl6M? z!AZTMvX*uX-tL=3!ai_jGUIbC!gPFKR13}wiGG~Ll9G;V=5M@=?%V(FFt>_B8&yU= z2;zqD$X~jBrio61Z6(MWHbdKLl5nd1-Yy@D{Lnxzv}~f%cP`!XGJlx$hEaKKGXE6@ znc2d%ipLV(yQ9APFB&rg6UA96@|Ih48L`Njg>tg zXp)b*S&j$R_`9L6p~~H^JvfaraLhy@?Ip6Hfu3jim6FZ0>=`azV`f214@p`-&a?Jl zLbr>H(1@03mKJRH5F}*d>O|Es_TA`KhrTHbSfRVyn--P_W_Q((Daokkc&(^fTC<2^6DF=kK7f?wV&ucK#MmN5(>@Op^U-el6n zHowhjB)N*qpirClg-SffW^UTP!rK8$Bx zP(y&9)0owDi*JpXbU9#+u*8F~V1|TcGJn6< z*hvAO7+5YMWg)yCEIbBq2Tp8X#ue<&WHPKwr#m1bS>1orE(YU$GbS;gW5Y&y0%T+1Az`rpFv2b zFSy$F{*~q$eI^B$&>3`6>X>%oa;K zn@Mj%x6HWNL6tmH$}*r*{w*MZB+g!u{@M^Q`sYidyq{$M>n!g~w0zjIkKy-UZ`YhO zeMv;8wQ3%3E$tolzsey;mVu#}2jS%ydN$`%+$7uV4RAOp<%weKA|`+FqWd*=EQMtC zVhzYo#tAOpkR0#Q~0$mx?kRk?9KS+msDF|WlYXUc#0Yn58yT)bJzR2j;q{wi;w(6)=sLV z7fK3f+A7NfM}bQQOyDQCy@}ro@Gz`-euJ!+G_Hhpk8c#y6m%M6-iH~@^ZMaii8#&A^DMYZ95zHlx5y9Pxk7obiQY$P5 zY9PjWjRDymOSND{qU&dUU`BZ^7KBeUj$QH$eYDa@u{;0x`!-R`Nf~jvNG~kcv9tOH zJ5;A#a({_7KF#&PnI0<+NG;`GAy{JHG)EhK^92;LG3+_*Rg^CTE>|gDF}$3-`Z9Ih z{ZAmbXTT@5FnGNe+j}KM6)TA>!m1IGl&z0rw?1iL22c!=!mZSDGds{if6v!IY~a_8y(|xhH{u& z0*jaigqd#^T((>QJ5>F@xSW)NlItTqN)%x5c-~f+bi8 zoiI|fsK*4t6m$c-Y@Aar2tT}hC#j4TphSZ@jCp?93OpPJl;Y)WxIw8 z0tpTw5&prGvcv-C5%)5i_I^vq@?u(zRbaBi;Sfx5SQ?VH3qq~A+AQUh41r*LLLS-; ziX|D%olKa|j1Z?>H7=)I72cg(hK*P-4=Up+iOWKd@Yt%AhPj#948YyEW97i%;ykwp z7mLp_vAyyyZi0(Cxp&%CvmgEPif4U`1hK|h9xofFLX3M<2N+09KqRM{o^$!T)>JVU zTrkEw)OVN1)3ceS1QVk&j=HM(IkaOheL&2=Upwy*%zPi4ww&@ya^bm>FyK){ob=oG%xWQRKpuQKwyB9)LD47WTtif zB%Db0AETvHob7spv)(W*0xCKC57N1rG+7LPJM%z3Ykb{;zqRRmbf5iH!5gQ$rUjUL zn1!F!^bB*rZbKpC+2?ecSL`W3>A!%$6X9piZ@yVZRFVbmjxqktaOs735m2vyngCHT zWq5?29lA+#G6%RAFVt|(V#-)r#yGEk1mu8u<-%zn;}m-?pmq^sM4NwIcT~?>>_diL z!}r@C^OPT)ZDWwO<%o|!4WcX3UjmwF7HeY#INmsWiFWiTl%^~=3L*X+@vBSx<7Hrm zlm!)}%X<0q5R6o05tbQ#w$nUcgX<%-0{gN4F+uhHa4vf4RZ2tq6oOO<$`C)A5;LId zPf&$G9jNF)Ym&j=g6rZ8C=TQGde-nf^DXN!NJ(G`pqGH^5GxV_!Unk0QaPfY=jBh9 zSPOXIDo{&fA6_=kDNJxTSigDvE-LR~xSUE7`(~ z$qu|K(f0_}tq+~nA&j8SqII>!tIf|bh*yHnz`lUI0K$?*4f9H1mQwc=sJ5<7-9wq( zN`x*}R!@U-(wR)pIHl|ev6k#QBu#T1q`1tlP?h9W32(CJf&6;ZrYv(phv&^9qWqor zlW>De&cV;8pt4SVayckFRBf$D3}%i^c>Mb|fFmG@+SvKx|H94lksMwO!K@%c;Tyn- zt|`39xByNRjqDbhJN`GRKY*9_t-!;Y-|){%gp)$4dX1fVp;Wix^K0dX&6hOz8Ef@t z8widzP4`f#?B%JhfNJOAi+IAT9$(Y&Kmy|q)QpofB{J-dsf@VEC#O)x%-Yv|E11&W zq3XG$1Dv7ClB?+bT|0M=8@7ziML!|x&qJ~6{gGh85l3)t*-2YY2BORU$ouh0+P4Xx z+%C4-AbUA2(QxHo0m&Xy7M@bG=Ar7f5VA%_vaPkYm#GhG=1|XKk__`%+TX?2q?8U= zSmA?=Va(T+>a2KYcn9683Y{ZU@MEA0urEdlONJCAX@vL;o zxyE!^sKDcQ8yx#?rpAS_Y+lRN#~Dr;+fZxv_VqCuJD=YK4p)8h{+}l=pJ&poKNw$UIN5N zrktc>r_$WxnOmt5cxznu^5-B8zw3a|UaDZ0aPa6!|9wNOzqWY3qoL7;pO#qeDRps_ zpal95ndW>R&r|`dq$jF`I?B*{4ds{*`f_mgjerLmgX;YZSfAD|+1L!<=h&@)?_a6> z#khjsIoC)^fH?Fw|8aMq+n@pZvY?aOq*}L(tCb=Vy#A^mUqbeoUX<#%cymBs`&xhs zcBer|@=WB&+|IAtoAE9Z^UFaWSL=3A+J*uRP9QmTEx;FEmSXJ(d%qa6nw$V?}?IGmc_>xvNp{-Kk0q;My8lra_mKfpb=w-2 z;Y^ljnI%CvLAFo*rk)u~D^hYTRB(NScY1yWQ3F|njK{2H%5jS@v0gdAp;yl>6|n0Z zjlC+c#M5kZ1Upo}H^8fc<9R;+;{kZ}#2`hC91L1&Wxoynu)1#f>-%iL9y5hA`|N&6 zLD2Ti>7wI@W03(BcLOuRSQkk5MS&~$+iaLOnk&YR5ta{J_}ea!km39JI;=fhoao#X zy5?xGcm1P()L>9qa_*s>-@X0h(Yu4cn+E^J{`vmCB=;UC!Y_lZVVFtd&myCHC{l+2 zEl&M5(?WB61P+Z+fCF=Gb%cUgNWlO*&hjg6A8JzYJ?Avc(CTi?55lfmU^FS`Zaj&7!!M7M#;wZoSZULMA7wnVBBGw_j56C*K<|RtV>iz@SHp^k z0bPb^nCRSGwyNiR?PW^uoUYB?Tz%ib2jpn!W1~yq2LBHw%B;L)08s#n)Q6U6;3tEZ z7-Lh*z)C1F&Z(ssZZ7a`R5Qs?>KHyTY#n%xza68Qmlt^Z!Y5x-BhK%2iLat^ITr%H#dzVZ_M z`09h!j{C>=ja^iaJgaY>R;naYcDIq4J>@vG6-3WRn(YJ;DW12*L|R(u4FkHC@kX3z z)NekC)s2rj#S&F6VTc^VjfroZxDGTZ`)FDrr&PXBZcpK{*;?!zcZWxW)XPISEgqbc zCo2wz>$QBAOT7%lA@?K0UxZ#cxXnUkR_n=a$!p1k_biJI5`z~F7!qddb8qorOz{{R z0B_c>dIjb!3~hQ_piK`}M!`zOC#=kH(Yiq`Nncm_2N%seV5S)EL{LJPfHZZmE;sV3~J{Ku1p%dE^!s5#=Gb zff68S`hW)WmTW#!Ggm*)zq&~kokLd6T>imzgr<`h{s>J)dfNn={uv0H5yyGx;we5r z0zurlmsG$anfE30DtHXLDl#+({3fS%LE!;}%9N|WK{(8E)!JSbuE+YU^8siiv@qdwGYJQGSnO)W$A21duy(%t{bp3>t9(?% z?pvVCrO&#S`|~xr>WI8f2NC~M-6IH{{uy}Gl8YGV5W(!$p2>6ja=9(T@;wf7)A8HQ z@VG~?v4fu=-vLbkrHi3J!Sdh>2PTq53fY*fFQUortT6amk#LhCNkYW`ee>M_kY-U< z)$Ql1fe`wZe&{3TzDiw7PMlo{IBsAqR~?AnNU2SO$JvmX)NDo=MU7WR5}Xj0_vXPK z<1hSbeGljA>r##&sFXgXIXbKJ z&hV$8fRhunNOKe%X1atkoZoi)+)^c6p@eA4Q{!lOl_eUgYy6k`X6y|}tZ$&xY2a? zxcPIESlIv;S6n(B2u}#8ENizPV<7&$u$$`mZKQ=}TAgg|KSkL34Dx6M%|GH1>kx0d z*o?w^0AtQSB&z~L)5LI}?Dm7QcO^4uYC}$DT0KsI9fLUn03x=7bj5M`tCaqzYym6U7cJx z6M44j|H_%V2$gWqC?XkWd+;3gs5?+Sl=IuB#XIYNE_mb9DnuJt#~&|NAE_%|eG)HG zO#1=I>K4`XbMM7z_qLhryfT&eb2Gi7#=QSfu09C9GI2dyey+>ve#Hao6C&qF53}j9 zXr`rIG4aoWa9{jCo}Vw?a6zLBtE^wVDa2cSO*MZ0S$FaW)fAlQuQfW+@TCjXvQMBd-B1OwR8~vUPWSe3SWM0q*K>zvE4IG#KGP_bAdMVBC1_Nq zRgJ_@Y&&oBjGkG?J!sc_sPk1r(6O@dKK4>=XZaPigoGKK5~sKP{Sg}<9sl196Uy4~ zPKMSwv|*5SNbBEJi9l zzklBDerH2hJ1ct-09O^iSRYP+PhO*vH&0W;EO}WA|-4=ELM(z@*prGD4 zxgHX2IFfN)2aDl(bVFcy1@slTrCRkQD^f?A#}IV~9fw-&U(zceOPvV@!n?Iumd2&{ zKafKgNuIwMR@O_T@DcW@-QY*e>KJlmM5$d{=}PzN-C8^jI9*bWiqV=1-x-dRKIA#O zG&ySGw)P*RuQNwZ55MfDAPk-#g)i=ryLA(v?0e_|xQ-U;2SZ|cuyQAw*zp7R0Opx3 z$JqJcST5A!P*n@gJVJJ{!2?;8+Q{}4Zp#8bV)ylWFg||4;}LaTZVR(Ybk~x$-cOKF zO5c82w(?rwToq@zx`|~)0 zs2mWbIZQY}1Wcbj);}NaA6%(v)phYB!f3v_wByZn!*gg~oN^`J9IQ+>Z!76kG0w#~ z99%cmVHOW#UY&BAq~GZRdWb3Qs)$=?+j8ebYrlUCd{}!|kQ}~mVz`$4U;Om+ka6~H z_^X&PY3G)1edq2-NSwtc=^u~t|5v)UTXXl#EL%g(ADhWd3MC(i5A4O=J;G)`*OmgV zXv~(H0mZRZYpnsiZ(OBLMi5GERI{^KGW(j~MM12j1%TY9u8ewbK+g3oD4x-VO5G9h zicln8A{Quv2&5y_otw%R=)}jXSXs{sTHwn?1{xPB>jU z8J*q=Ewt@_;GAtQ2I!A^fbQccJexza419}dp!*K)MmOM=adokXlHZZLsSO*)P@RD- z|E%~}Yb_GB*ptc02;wl)H?f9U0zg(k1Dur7luAz?ss9XuTE^)i3u<`S#d<=^gj{wJ zgYdM^*=7@rT3;hJV)jsboZoHdnWbos(O( zz|6kbA8BvxRJ)~*{_L*H!PvvJawrPGh+o)g%v;_lcb)ItK_ZXK3?`b9T70J)Xes*k3lOB2T>IWw-! z^obGg@hXk8Hti1~9ifME2;;{sxlfEkiPm>IZsY^K)@Hgw<8}^#4h_&ytj}@TAX5*=sRE;L+VS9uQNJsk zwE60X?O)`KBRE491M~g*oP#-W^Xw1}&vzup1)AxBTC~%Glb!84j=u)o!!&_&18Y)F zd96ExU7n>SdoKnR8CZM0%)pBsIm{+Ixkcb<+k(b{(1XOt&6NWXpW8Z-b$Q0vSISf0 zfb6Q<8g5M3?Z=jppT!@w3TpW4(RdI{O_~;`6n=>#>oN$D5#JBMn-*?$XkF-iQb5wm z#+3f3>iH-cFVVNfw&se}-nqb%i_qpjs*jv}@?A^2VMExpv)#CTf7@E;n%IeX;zWR) zB2wY%VP4a#eD$na``Fr}vYnKl>5l+p`U>7=<>4BS%F5HY(f0D$?(ycX5+6=R=&}#t ziPy+F#fX`nn&ST7)H?yg7fHP~4x=shPITIn9j$SOv)u!c+cBk+=e#wH3%K+w*OF7| zUL5sjci-Xs;xEql@aQ}~c)f{&L`~N{q#T<+fWT}$!H8*YUTi49l?9C3S1eXkwK1zu z4^}d(rnH_cSF(j|Dwgo}p{PTei@JI~S_O`Wu?L#DUeby-ByyoyloGfYE2OUsX zrPLliwgZ$^+}!g2)3ryMJ`IxO_($y0-aXqX|9oOsZFKZa2XVcL%H0Ye(2>^}cM}(B zAL4qPn|=VncyNPL)AJ${-Im&EiIAHFDu z!=0-@=sC@Kygqd%PJym(#vv~ySG@s&FbzPX(;X?4%9vJX&k=F`$x|FwSl_l1SoywU zJAp*CnxI3au&+oAc5~<#?$iRIJk%GcsRw||ow17g5%@3MWiqMFA&$D;YX5@O6C25E z7&s${LVv}ss8YB=vmUs*Ksi`@SeOsk`{{E65 zCv%wKxKWB?AA}EHgPVGCt-aghjSbQsf>@SoTUk`=`i!*<>fPNJnYv%7+8$F($^9T` zp<#Y(7nu7G^h`2wKfw?C0i)Bwk(nT22CNR$KvW^{kEC`=IURsbNYgnk zj?h)&ZUQFUOu=`8CN^=7nbac#8hvu!Ww-B$5wR8a2X_YVZ7N% z0oQENc4sw<-%ldhRaGfCK=(^w_iF2%-^3ykcqsIzU6PP#rXfR64{RZg8L$oJ1(0y+)85C|1b;x_|(c1Ebl2m~O+o`tV6 z{MLV{fem(Pvm(FaHz_xv{h^T8=knc7BEPh0zwaV=oX7W?LlAiQWS!nhyml5XcpQRM zIu5OjyG%#S7=27t*buyIH^mdpvlwWikHq*25Qq53k0k`Yl^zm`uDr_L-YVjjy(m|$ z_`mqFhhJG8aOvOciUX_(@8ilRv}(VbxVr?MI!DpXh}qx7V*>V0r=~RsTOLG9FH>I2 zL!;8B1TN@1RdmI=04&WrlM>WyR2UaJvU}lyRkH8e1w=lqBcR@2xbOjXm7YCxSNF;m zzRpp5FF`lWRf-tOXlV=18(U^Wa19o;)D2V0453~M=vXeK>19ZwS=^+rC`ZO1CzS+^ z4o3}nA6}!Q;cBxhzY!!_73r)g#uuP$KrioH{w>cN8Zc=1fe?!amjJ8|>dVkP*0KdX z4)ku_5+}au&iu|M!5z3r!8Qt3NFqk#cBT{w+HUQV^4B&%v9yx0h4SqVXf}gBz}YIC z_Js|n%lb#5hClN?E7_xy*XOdwMlT4pTv`pxGi7Z8=|d8%#1@i1Gz?JiTh6#G5nD?$ zE#BJ9&KxV+R)5&N1kwhfHz*JDRe{|@2UZEzhg0s^KfVqK!Bo`#qFlFc1T$P-Cd6kb7&z%5+vE@C#i7O(f9kkE`smDkB zEjgVObij-L4fZ@ON79*bpnK_+KD#4X1N3w^j9{pSzoi&JwK0xn&G`Ssdrk#(rL#5Q zL$F;xg+0*gh9{Xx$(zq^-+aPcJ$-jy_%2qCV^LG8r>JgnU*YlnRK14lXHM%0qKDnM z(B%nbg+JZ+>cBBKffUMDEx#6!1dtrde?-I2rX6Vsg0(sojV%qc1gbt>G-IM zM(!meEZ8SBNf7xfqb_kT2s>Pn2(gcr6$=EKJSB^xG1HgZ#LDJKG_!O)fE)7KqxJ{p zqIgOa4m|;#b_1aTn#O=1LwPX4>uxYNf$->L`r^R8SypKkP~`v;^v-sy^0$HGrg{Bj z|EoED`I*#hDiStlR+rsW(Fv=*=$&|9%Zom+E6^?2FJCpzhGl#XtC^Izi#K3+ijV&$zMg4h1v%dcJM8X!i2mVHMM)IR!c5o~wpW!u4TVbwmdE)< z;X=SK*SrE;yC*CsVR?H4{89l=B%n1MD+V|#X_Gk65O;Se{5cNL19yA9ol{OmmxUTS z#jizN)1w+>M5*wj%vM5Wxe=%h&u@Bb^!!&Dg)z5eB+Ty5qf~+2#Cao}OYv7<^W|$_ zT%5^OXA%UdC?L~jYTIF9Z#KEzThS3>k((s$U~5rbo1}PVwKQa7MS!~CJn=*{$0qDg zKrp|6WI`n_A9Uswpc@6sLFRk~P;qe`a_J7kFa^q`Jf(2L_Mtp31;Jr%&mB3^B)CLP zLekbzf#N5>Q$i^HOfLiza$LdBCz~6|LSI|*e^)8^3g4xG;w?hobor*uYfy8R1Fxv^ zjr%Oz5jO@rZ4xjF;uZ9GM}eVFm!Q*%QJC92i?Q)4Rl;5p2wd#3_elvkpv(iC8oU%Z zCBtHEc_LJrxTZbl+S$Fb;@_C6a}-{bg0Cz$SkSB>?i3>6rW37<#D$vBqU2`2$nNPF zjFTkj#LE?YLkgl1#_CyFnjma=iOFB(Sx`cZzlOk1ZOE#cf~_yPrq%zaC$;H$%)sbA!vG8%Lm-5Il|S^d4!a&UcvYx3dLC{hdqEsH&f<2v!^Xw37(e>3j;Iat3QGhtmjzQa|H*F(+quxxd{M8+uj+tYAjOJp%1)# zD<^(-<(j>%d2rI3xh`kvP22%VNMZ6s>&ka-ymt~Im8URPP-cRNuULE^rP%Zf%(%v? zea|L&pLzts&z{ScRlWJMndJL;D?N@BDTfW$as+zYSp;t4ndeiShf;NI2)ms1rX)a zgDS4_1DJ?MQEjv^8zVwf1;=FgJL3ZXm=5|?+N@RuD~>WsaEd*|l#k~Z$9+o4Wqf=$ zH#mj>mBK955#ky&7U{18O%es;6vP5-e>G1n`d#G_nCAL?R$knJpNXiQ2kb{QL*+D-w`rk zbV;T6Qpa`yL04R0`1V|aoiwCYrlKZZT28(bATjv1QK7uJU?FM)AHm3B82Jh%m>>Wg zdFo7R&K%YLRV-J|T@h(TGhk(14|dxSV)U#wz2z`Jhf9AkFPFV>Qh+6_PZ|jhzS@8j zDm6#%H|LA-y6a(^DtM+3R8(aHq=I&CA;$9GPO`GAz)oEjWTTwIAT)USKVQ*qFlGFV z`bCEK6h^nGHMi2x+bcC^vX& zWP`Bp>HfFXU)xxzwabn>FKm{A|@nB z9TjPwz}a}*{kB^(44HfVGV?YHVS#-uNr^aJdCa&dBk}v!(!uK;0R^b~!{cB0f8M&F zfw~KzWHFRP2K1~Qo%o@okg@9O-vSbd{lwpZub~Vs(Ki;L4ABAm075xVD6lod5Pb?a zaea(v;?^ZR!ymUHp*fdknYI{b9=yZ9tflEc z;r;EQAdbDy8Wq;Bx-H#6j|-p@umR=@jkTs&cn4#w%c1-+AI>5!lQKu`OR(okF)b;q zZ%Lr&y}pP3;YY>DvVY-;pP(*1K5Y0J897#Drou={UN5?$6EvMTsIBzs!oKd4kXt!GMs#>|;cfzTRD#8R=M_?M1?FN+1pausr zV5ex`2*TR~TI-7UNhx}eWXg(IxtJiJ?7`HT#i6Oj*Jbt@p3viqOm`bgEqd{D z1!IEfcon7<9eeY zicQYs<^Z_ z#7w^o=;$}%M-}=a$DpGOIK-e{((kfCc%%!6uNkV_+xxr|^xaOFvHVL&bnMQUoVx+( zDl(e2{gpF?WJ4TyUFB7QzZZpI1g`N*ZJ`gGAhqAC zSy|jS7Iryo#FlS?M{ZxJ;|&gKjWEm5IlQD8=)3GwNnY|_g#gzHMt6({m@N3`{|KQu z-}9S4@H|EKi}_{;S%C|B{hq1P{J{UOuZC3yiOT|4t0=r{`ggVfh2W1x>#FgpQ!lX{ zJVChh7o6#I>l(pu*j%!jh&dqB5>>Q=5wzDnLS&^_(tUzwD&m1}?;6PA1d~}5x&>TV zJRHV3nsJMV4nMX}OJc$aZZKj!v)`0&$`_V5@67BtqtCzc**e`}!j(^Vw?Pzq#;NZ! zx;1frj!m1kEbIuh&B{r5n1D2%-SuuaBCv8+Z?m%?emxsxo&6NUGosVKT-K-F1Nh$E z6Pl_l7Tc{Xm}6ZDlC}|)2a&K}ih?q3F?^C`!iNEV`$%D>mpAk1Sd17DN2f6KFSqgQ z$x_p5gJXA23yQ8-PgOxCnbjplW`Z^cUu>U7(BwrYY{0=RA@0puV)=gJrv(w5Ql zQ0T2zNc$Pg_u+kVW8mL`jKP}}qq+*`Y2cp5(99adUWvl(ld-!dL8S}uF$k&OETIt^ zz#(JAZ~+FSp+5w`0$tnT4Czq_%Q)s@Og%*c4+;$K6EH)nf~TE@Gm^%D5Q)b#O=Vr{ z;8z#w4x=@D#a)d6f)>fm3JrG;KELiCqbHvy!Edhr!ykE>g?s7O324HiR)0Y#lGE*k zLMRWTYb{jZR3J4N7*eS*S>o^FEPVVo->C>;C6)H3+M@_aMwt}!#U7InMx6OX*>$GA zAdnF*!_j&`c+KO>y;9QT1cq;%1rs^}wJK(1MG@#~xeth;$&Bg?#=|@+ivz(DA-)RY z!rMs3H4w^ZUZw^7n!+o9Ng^&8J`-IZ&b!@E!x<^(9KoOG@?WyJTt*+xaGI^rp?Mg5 z39Nbgpsbe~^cP&ZLceZ1Ex{7ZXMlpII(98e~*uC@qMH-g||>S#v4eQg**Svza3C>zw~>)33PS2Wt(mU6Bnk!hnc?X(_;l0 zXz3jzQ{%r5jM$(3FYfY=1t?%+4BZ7rKP~MdD){p(YTV*x!Y$}64s8m)F3duPz)%N_ zlS(&?@=UIZ;76k=I`iSzEUH*WIQWJ2tZ0=o;S$vbjQqmgyj#VHVFL{0@M~ux`Fx}1 z4Iha^!Zl}<2-o~r@jsYsZFoSiuIU)#UBW+0bM~JAj=^iO{czj`-~^96&WV!{M)1no z%fde^ENJfMXVVyhS-ZeP7AG`|`CmLY3R~&jMW%RCa+JD@z`XV}JLA{IhJ0?E*9m1H zzQm>6H2*8wZ0`(Rx3A{A8DJ}~IExU9Ak8OmhiiT!8oG~s1wMmID@hjmj4rW^V5!PO zum_xYCIm*T5po*egj)(ii9$1*+`@VhZeS$9BWK|?%uQ#3qLPQPifsgRI;Dm@P?^Bk z6(uCes+l+b5l*=vEb9D0fZ&E6jK3c~QaEztwTW@%wbcER!b)0LVVM zv^rtQah1tbJOKtVx#6bD&`k)P7aynnHxv4sK@1HN7D@4j0#}#AEU=Hpt`FiWC4(DK zQAykQ%y|r$XTXReJ<^+^nI zukI|oJ>-K$#Q6=6)<64P)KW9}$cw9d^F63mRP(l)e|(uoW+GtFAQtG_>mD5VQ;TnU z^YPQp|MFLz?eyyhcO0^5Zjg>RTkv`ORGyyF^EL-+^T1lk*<%rMsknvYMC2pb;b$C?lbBR^e`O@z(}f z2Kvuur}Mecu9R@y_LL^CaiKr?LPTF_gr8HrRD54VdyOpVALuw{Iy3i&sOLLEz^Ph; z1JFw!AZJgLsBmiL%H*O0-$>rP=E7fh4$V|b1@?vF4tH6VeZ^T#ydp$u&4eiLW?~|j zQGFK#y*QlONKp3)K40(Q_ej+7Z7Ppt3h1M33VSKfk8nwzIuo0e0c8e)M&!}`@cWHC zd0t?=rBbSrCwD=$L3`fBPKzb;n#oxEjomgId4@q!QX^3+fg~I5cZjv_DVHhw3=7{nm>R`1;iY$fa_-%^ zJLZRPt6Um*cF(tt)0`GG8a)_y@!>(Sg~;ZEOh?&#YbX%>?_1TNw8XI)4LSBsl8epZ z_RV>h_+KlF%M!oHD*?oHUcPlY1i0Cbd&%CmbAc@v?t)P-UW6c8JLNsy#rODSZ}eY+ z!=Y+dHrj5pC>lrzTfZjdw$RB`RB)Lzs@=P?z4xr*IsMA*ExF~`FVLvMJR2Vklv_v z`Fx1)nE;D)&KIXf2Jc(u_=ivUWasihn$KVEdfn->;PXpVDtYbF7I?f^;=c!K`nynB z3!|XMamx!JB)8w?h!*_6gQvy@N9*(ooXMn zrW%XhqrEn73$STQr5Woh>H`IU?PNcvhtpHF18~OD?`gcUEs*+Tbns=}R_<6R_yKtK zo--_O+A+8$0bPU`S!~v3#dV|~p0u`qUUkKPyZSYxxa0(@wv%ze)bu${uwPSE^i}Z3 z^+k#(H^Hu>>Os^)Z-Zk(f|Onb=9L#yBy-|He--N5Vda+U#~FLK#$#jNG?jmvGpr}i zgLif<2*}&>Se;J{3ARx1Pw-;)tl#B#Ybf=m?{GZRW=t0Z`>MdT~-tmr&^_iW`J)CJ2X;9t6?%@J$ z^@U>P9Bz`$h+ktr)lb1=RZPtw-Wc(7(wC@~_$87HEB1YqVWnBB5><#UejnZRQtbB9 znp59P^vN~@ZD|~(x14#o?CU&4Ak}pOfp-gMJ~IlXWH+*%tnjf%?bRBiiQB-aXnPss zj`fWy!VfPLS<~>~arqwUBqx-pSYKYo_W&nSYkG-8a{uBAyHEVq<%Ibr_~pdE5{eOr zg%5Ax5j_4^@s@DO@p6eL+HuckrUbPAD&*xP$p(`R!_;>jvmK45P}p@|wY;ay<=ICB zJgO{iJ@U0n_vYa|<8$V|k3N)%HmIg58`P4}KBo-~9mk9tcQo(866{kHV}@!S6o=K1 zVTrD9P-(eajJv-W@1e8ueR}zBs|#_vu3EN)vwWv)(4nS?2lJm^(bX*)Pj7uHDy8)} z`AEfBE$wQf)VXU<94b@yY&j%0sApWyMXmX2QYbT)s1_8q)1W%-Sm@{G(+URZ+hq%n z0RLc7?VkQC=HQNS;OQXu_K|}w)^hNMfPf?Oi6fJx5w87+tUC`pPZacR37*R-SFy}) zw({-2Tm-}#Qhbjz;j`~e)^@{=2ybOME*wQ}>dMOXWpqmiy~2nD(UrCKrQCHA=k#4X zorrqFxTR&?^Xlo%A)7LcNFGeYu7WDJz>DhxB(n+8dmL>h-NBu- z+EH}gX~SDZE`l8_Ex)%bRR=j%n-p~mTemm-laKTv<8H(Ido?n{ThQAvARCw?Mrz_RgDMV%D=#1oa+P)3{5TN z>vHzQEALl(wE(E9rlYrar%NrzY~a$NsKMu!NdsGw55phc*wWklHn0gMXrQLkUGC8B z%-v3+oaB!j50fjGe;9qw_#)hUB)#$ccMpu+POS_&3DNEPwsaDiSm!|S#oWtjYE^a~ zqad6*>`>2sJLcB!!3YbO(DRWx|!E&+xwHBa2Mqc;87tv)44GN7?CL z%i$h$SOf^EWW~h_@rs4YP0qkV-J{78R1|KKa?+&XT6=1Aw?g&MH2K=~eZg~-b1FkK zmPRiQ`k06%Qxw$WXRe^J0FWb9s84lNp$EIKDm3-Ej-Qj9# zjD_Py9yBI+E1Phdc)`S*bZ0?)XF@yvfxE1Mqw}Nj$36I6yr%ZL$K74J-hHq$8S6}k753?*um)}byi0&9w8SZ z^LgFXvEa;#5HWw=0pYqDztw_=lXgtJIdv^z{zi$dSj)dGMlo^;;f5#0CF5r><6GbH z`0?Cb)K-E=Cw^_@!dE|LuMAYX`q^Rl**^0&W3Bb%OC<# z#u34ZYB=joPd3$P7cq&0W5)IgWO@SKZ4+T?!P8yS@*NX##vkj*Ja22}XH z_I@iCNZJjg;6?_%=EASSGDMxW<~&Mb!DZ{rMB~4dMx%8v#4``+ZljBd+OhHao~Ojb*mHK%)#H} zwgoKhug`AwmTA=Qs|il|tdBftY6!NHT(wMMU+Ky*^FJvg+p}1${EE5~gU17q;>0+? z8TM;g&&PVIpD!LF#0}g~^5F~0*&qdN+*YzADyh1T2BKRQuMJ$?eE-uO)wx>B)uapH zV`QKqGj!W2M({b=Lm&3f@7B8*$U)pxdutD0AcK?672)7%+Qg3U`nqr=ZH_7s!HQn^ z+6r4=&$>uN#fGb{L&g5Yi_anH?r>ZBwY5enONbCp;O^0=iH9~)#5Rq)FAi1Z9BaRz zVJH!`^&a7nYlD5_(7@f)@D@2vfTFX6jbzfe*5ACilzDgrP0Z}*?HTLybOTQ$8ZB;pG2!g#Ib+i2w29Nj zhA;QT1h=5OJYb$-R*L>2Dr$_XQv|%9`ZI#!ZI8FNMUTj01AI3)*WdF)@tQET&Eg>C z1lCyd9Od>qAiE9_9>~Kp^*+)??JJpgm3y&5Tfqh&fj)pp#G0N6MGv3Ue=zHi(B>Vw z;y3GX<(~WO!P1F)okq!%MyNdpq|*jr`}UmL1aXv_i{3e~U4q0Ow2?XDGbM(wSaesQ z%?ynCp#PhmrxjHz3jM8Y#x*M*I-mZ7n5pU7R@{vv?)Uzy^C3LulQ)zTgkihfs=y&6dh?rv+oZfhEKHANg zGCU>v?DY*HGmP7*TTjvS3(kvz^9m@QGRMp%Vcf?PdRhr?Rt>5qz|*)@=D*WS}%Dg5M#%J_KQRfJ~E;34OT(60l*o1?90AcfZa7zX~n@RLA+Hi ze)YV6ZCr}OSB~B}ZNanQfR}Hd5qq*X)QTK&0dMlvIk=CXua?9c?&Gt|Q@EJtEp;eY zRh{{Ioz;VA%dP*EY}X!sjf+WnzSVO>#9#+iY$j)1PvNdk7DHqURL!ktL6avIX`P5a z#~3u(u&|%6tL#uqj;fPM?TLUWSxCTF^xTsyb((m;Ciiy8mRR;hJ%!fGt)7i7II3Xe zAWlsh$211h#QET&@6GWadfQ%x9FivJ?sKMDCOL*CvZ6lsFaP!UJ)3OvV}~NWK!peUf$W};DjtZe z0m?ZtL?*L$M}lfN<~K{Q>wN78-_oNe0Oz;nX;Pv)2X66IQ;mn#syP*)ccGzD&p@br zEq3+tS(S{#Qk8t;y6Hyfl^NsovukVOPP|KP5lxUDkZ3lN*1Yqbrq9J=nQ+p(M8X`{ zY`dI=#>=Ngw|>ua*Fd~L&3cqMYTR*ov|~A$h^c+sO^y$*+6b5q%;C+39uGUNlPwFf zd%H4_>ef4YqMTbl@ShmTP)l(T{$L2LGj)}~Jy@#oabRO=mz|55%&PmLHw#spWU5`~ zPkrc<-i*_&*-vBQrieVTp%+5?2E#?(xcj$vcXAFGnhm}!v&7k5a@%rx_wkhv`Y|#$ z>obw^9Y@|eUw^7}w0YtF`I9EV`*AH=PU{_wS*s0mohkO?ta26VO_=Ab5{vbBEe?Ag zIWBC*K~O#(SR?Rcj&z%RK-Xy0L(Mg_{-%--M`Wj#)Yww$Oy$-VF(B6I=EQkSMmpAJ zI*`HQ++5naesWCJcHSO0+0%B-Rct&fm!cw_ALWo5#YJN{fUZRDJPT5+1Og!=FN1qJ zL-*Bko-N!Qm=$CRYJw0}(Zd^I z0EDW!j_W?!>*sKR1Xp1p-_03XI2;C+ckt%u01y2ktpoSf0px1ATeXXC?~B3kY0LJL z=0TSn1hIi!Aa;*dj~n^KdGe-w1A3q{0kXtwFq%Fg4Ed8S^?J zy=Jkg6)qvpu`M}cmxpc{u-wdj(y^_=m6&y1iY=~t`hb`Gu1PsoaJEl%~llC!iv&0R6*1n%fJrNpp`m4pm_wBG?d4|pb{;VaJONI zlb*~=)Mc*L+kF~gwze=29VCK{n4KbC8i|QPFYUsY-+d~;ezNTPOs60!EpICOWU@l` zJ`=PoJ(E(uy?-R=rJv_;S}jz4u49{vneS5|jjKLA7nq?f+^&)WuzRK7Ijfs6@+~ZC z#kSohilIY=r<=oR+Bv4KJRJ2TRv6N?--XU=GET7ifrpokZCaB{Cq*RMSdP~{5`P#~ zKoRg>c~~>&DW$R4o~zl*;Z7;_F}3zhYS6z0DY*Ng{wH0bH*=& zs~*luCUa_LnBaXvSCHbe{p{&q>@9JXB8HwTxjxl7eosi`vThT*8AQvPeoQ*cK)t0Vup>4(m~(WpjIbkk z?p;Z|*0=8SIv>Fo1tIvS{rE5n3Yau*`ju5PR3OQ0gMtxh@F>@Ts-jlYskeqPveWg= zNcnkFaOTX=>Sou!XvP~x z5ZLFHZKv}N=CkE{lFzpE`9>@}@H4U++O_p{GBE3GGOrdJ4z<_8zVQE)K8+ z%fy-)7J+LzUSaOcaEt7H6R2q1(32&B|8UxrF%feL+b7WWm#zU~`}rU;1=+uZJ!K?*d+(%8<<abjm7 zZ++6cAqFzgm?DP9m;1KfhvvH7h~LYu_Tr}_o}-M98+bU(2yvMm&p((|v~oXN!ZgO43H=BS5FkN_V z&|x7S3*b0V#wj{1Ac`_`m`{Rn?iY)^GQ7QuteFh(+|0&}5qe`ib{eIwS(ObPQ3FVS zpRx2|Q{PX;z&e&X6eXR{T5(vWKG?aRYbc5m17Pn62ehoL)?x1i2;KQj=$W5TU7{M0 z*M zbKLzGcn~@9qYExWG*cAsw|@XxR?jdhI&GPf4uX9xr90QuZt6L2o?>b2oei*|zEpwy zE_d(^C%jQxfooCjG;n7f*gGl(1l*mKLvMmeyK+O<{FbsLx6(MJI+|hYI#tjth45OP zL9NW()+008l5&zC7*mc#j@xgU9W##OWRb@B=NW7om za0kSeByJ>Tl-n8S_~(oZkb$u4jmwJc&yJYPbGK0!P~gNy@@C$o!fv`-|!ZQR#Aczv#S}yUZ)S-&Uh1z*Md$>BV}6%Q#}^s!U+wpGcRZ6qmqXJ(Ry|+KlPCb#OV%0K1cAv zlfq2*Wdg9ioVhLnbxYc=vDbLWng%4k9$XHWn7W)ke@J_{cwQvX(5WNM{H3{(`dsW} z&jXd>(1SIu62LR?tSPhdd`0p1a23IDYxLm+($h`A6Fz6`=_F%KjR^z2KE`tTu-02~2EY%$W(YCscs z=~Xh#EeXfkLIP89;dQ$pEkP7{Q1&@%;s%oUm9+&R9C)xy7 zDQaflekFd19CkeMxN;w3iW=;|iIX0xMT{x2OiUsImLCO?GzpD7f2lFV;^HCS@vQ6* zEf*a`bbsMvXCtL=6S?@_!-U8viwNm_&)Ool zDUaR}BYP0MY=AP=yf~M!fnI&|*vs5_p+eOj2fc_>u*j#{We}A(%)NtWoB}m)F)rQ5<^~|)+P*3w-DyQ=G^h{k!ikh zr}FW^syPn+TJ1!NeZa1-OC{dpol)}s6f=d@$;raGfa%2;+iU(gB15ev{iYV>0f^@c ze&v44OC?cR0d1>`(pf zx7zZ)du6MwOy9)inUw0(u?CA?%P&TvJs+R>9DSa`A><+=QX3S9(d8`UOtjW} zj9NgL)H|vxEBO%4I*gfLNqG0_#nCgXF1CG; z!nKX07I1Qwt}3UM^l5=Nm2x>mu6ebs-Dilq&Awb>pmBcN?!{V<%o}BreFTf{ms8Is z*)3m?`#3(FCaVpr=TWf3JwB2P-_;KF1&P)vv0atWTwJxue5vDq%ej%VyJ8e(-UuIB zH1?tY#Gz={iLKxNePyA_imfMhu01-c+;oLQx>gu!976QmRh`y(5^mTd$( z_ajegEl*Y!CZS>Fh;y@nVbL%N6JsWm2R+mcZ%7LhxzE&3#CH#rfR}pZE>^ZB|{fCtP*%c|1cuy-@A#BMEnQ+j6$$f z!?)1+oX_DqvJsD8PD#2i;=Ag^T6cn}+D5VDa}~@q-LUoD!&mlosttCR&VA>_D8eeT&jG1=kwatiZWJT=Ng3LjN=>J?{%vU_4HaZZL_X zX0BGWGgYNC2Fj;Jl&$Q{PP^-xIl78zo8xVr-JznkF0O7$HfAm`IFp2i+1fc04b2{? zMcK;L!o~K2o0AI+Aqm>ifl27Po4Zk4f!abbNobilfO`H_6QG`>N1eQ2Mldl19D#v} zq0k5z0)v6W5O9n%U?XZ%nr3b;wooCsI2?`uZGrzEXXjuNP$y5iI9a%YTcMsXNgQ(o z9A)c>gF$RZ8~Kkc31wSrYbzHkM++-gP$vQjhe>$BB)nng00+V(&e&SI*?^i*)S3WK zt}{I}NQmkGuJRW$Q2YAt$BZ|_xx%m*+R*;x=wT9yt`=5c!mvmzOadY}bRmXBVZfNp zE*!VA#o4$)vtzJ+3X?eDW`?)5P;|uMtw4Vzblt2RPD3Y}W?s~hfq|jn&{A6;7Bo(1 zSVk}m9RA;tnEtEvpb*k9Nie^XVEUy|(l87P!-NH$m6C?TkWy$E3Ja$uH0USvJ5(Np zLC}sUDX9FvN=)m&qd-|GL3OMrGz#z?93p_UBuJnltTaqY3S6U*Ff?df3QA}s42eZE zfds>#F)%b5RDwalq$ELEY0v>UIERkV?ugCSDygy{SC3FsiL3M8#{G}J55^K~{@pRV;Im@=mIj!=6gDTM$x z(B={1gMV}t8WWY707F4{{ip@%6dcY({cWuRECve}BrQRVK;r?35B`~`v<7?u@x)Jw z$`24vtS2h3tnmcI4?icUU({<*2gDoe2^u*DE)C`o^cCWPKO`(@gUS~Oh*E#2b)Hy1 z0$u?9lVqYEq4S>-b*^c@LuGy>h%ca7g^qt~Z%CZ3%RDa_pfy#_d&2+`p|iim2y$JF z{H*6C|GoY^7E!SS((|i&ii}K5-P#9l1<$QUY)ATma}?G=2B zvd?2vI{$-n@~3WBek$L#UBIzO@S~jZUd9ArM^u#(eacqRYv-IV&&0x+ja5%ZCXYQZ z>nQt57cu)-XL^G5cFI`Bz_rm08;|a>{zKP(W{b71p(KHl`FBpZF)d^qUb5U5b~D3!Txu^=aFsD5u0uK_#%J>^%(n(C1~vCZGI zt&RL+ZC^!sT}cvoFIH!;S%>?h^!WApd){KX^dT=3Vy`ppJsrB+UvcuTYJ}e$r=9`q z-8j#Q3*n(BZ(j1a+AUExyY zhYx)*I%{arD$hNByH*tW<)Xoi+w}XoAZE#l`^%(`tve;HBBE;_TH}VW7&2uz=ZcfcoOE*#^L)44(tpp19?^Fi!ZaQ zao9)CZ+N0Ha{0?@*5vcD&Q89)fGSF`eJK}bB;BGhpCVHlH=w`Z2RUZlw*ta>@U!>E)VDN|@?1aTh^gWNs zi!;1k&hd<|Z@tgnYMsHl94_2DQqzy%!WDK}wQnCgmnD~=*pOjdEx^X1(P74qV^K&z zis!q^Nx?`e261LL98d2-?TnPXdVJs2r-=`n=@fT{XR1VCTy~KkNkq9_(~n3)jJb+A zn6zk0+rJ$%$e0?u&3n#ST#!Q|gJ)(Ivx(!BZN}7*oaziK$V@A87aoIDiBK_utYGeG1F6Y2VhddG?hf z2f`)1wC@YOSt)-L{_Zqyh4Hog+xrrxbZ({X8`71(m>{0?qPO$4og^tXU(EGVQ9-H1 zv*=f$)*(R^w(&(9?#OOX>U@`WN{NH_ZTll#q3m8d`Rj#_tRF3&Uydu-M+$|R3vr1m zzIk$tZMQ><;6rrz`7rKJapNEBbsyEna$ct2a9WzDbENZojGXqtcW&&+_H=X;CnMXj z{j!UZk2}~#&q}r;cedB=$gtZ~Dg(Yp{nuY?&P^LF32L|V2CJQNX7cFIEUj!HsOrW3 zfj*ECzOEPk3@nano;vjpU;z>D2cQ4~^d~?;GlhQw6u>0^1E7Gd0gB(M{?(NJqr`@c z^?wZ{n0^8hNC@Kop8*M=@Fgxqyf}};O0+|0yx(8MWn4S!IjEI^I_gdjg75EUd041ijV3IYc7!9R=s z39+r@B`0TR7Il_7cxDIZ3{0TPl%V&GU579n|7nCWjC zc)3_vGXc*5oC){{*8YHt1q}eHHS9+o210E-CVV)#cMxIn^x>mLdMtcQP;Lm(v~ z&*U$8z+3c7yPyrU)Gz%*0DE5wEC=ZCZ(5-c*kAerfm!r#?MfkmYw4GJrQpA}fsq1G z_?L3hDB#lgB@cL_e(N(D^*f!>V7h<1SL%0K0WtL3I53iuzqKJP1zajW`r_tdW{bCS zp?Yt1Z7*5@UV};KI5|PfgDNLZI9fXa4-WMLFs7@UnTs2hEdiHFV~|V&0>`vfnEn?D CDr>y} diff --git a/dev/_downloads/2f44ee19ebd4c314ad1c408629357c53/plotting-1.pdf b/dev/_downloads/2f44ee19ebd4c314ad1c408629357c53/plotting-1.pdf index b8f18913247519fe3114d86df6125d70e5246bdb..99720d1ba357fa66704518e5f22d9576641b7768 100644 GIT binary patch delta 19 acmbOdI3;jHk}8{_v5|?9>E;Yo9cBPQdIhKe delta 19 acmbOdI3;jHk}8{lrLl#H(dGmU_o)Ls1#=mpwgl=slicULeD(m^BL zmCH9T$1rRq@%#NhVAvA)D__Y{et0|8`qmHLR6P$I^E~Wo>*;gc-3Bu}?&;>_>gnWg zVym}}yN83Ti-Mf0+-{kz_MV<@9%}OP&j0v;oU6N?{5M8?O>mKAZr_`FV3^o5^oPf# z)=LY+^h1gJ_a5<$9c=T9ZM8X07^%UnSf={)Y;1n(Py3ifuB%HUe$ZCkzk07~|K6{6 z%F3>>f3TGI+f?4$U*Flhe&o(<<_1CXp;dc-p|n0-v3I%q+As;$+)3&Z9J4jfZmMZ& zZsKO6hB~V)+IXu%<{X_Bn4pu{o zysOds&U^nk|15f!55sE33JVMU1|FADaTW5#fof{(?MpGdNE8qJ*FaPuv&PnKaBChoAygJJpqi| z;prt&CeGMQ@;o%w>S4peuzif_QTjFA>{phS9$FhHrRi^+lwBnf#MK!SCtqFeE07+ zJise>@K)iZ9_$0%w=+ySjvo^qsMb_5_3yKOzEWR`hrCtsW|eKG=TeMc$Jn?I4sHqF zcN`Zzaj!P+P9}K+8Q(W#q*f?_9jRDDMmPOCmp-Q3hhc)T5|IXS1&@?C&o)x?hjvE8 zZ4DYMRc2a>okJrnGOX8N{ANi_PRjZhG4hAOZ1XV^7w&xUs4+Dyx^oB@w;7;lNXpJTa`f)0HDR^RQUYC08PMyspjxqx=AdZ}P0S?z#ax zPPE(%8#Yz@3L8|g(R2TB1{~C89M^YKb;zjB6u;tNc}~%dzz=-z<65JC(X;+^9gdBb zv@I_7p+2p<{JL&r_yJ1f^xmeweULhO(=nooS9?zBv+2u)6(pmz3O$!62KiGxt3-UH z`edS(*eAc-pl=oU*mF6i_xLMeWPpDGM}%Jm&(kx6P(-`;5`n z?}PzfZMVB9YStJ@vQien@c5%X6Ag}*!K@f?YzpU5l`>s2=DHD23HkWH zcEXi%CD^!W&;&Dp;TRgOF6Y;K>-K4kGV|!uuk_rW>{k!dtrVAI=L{BoYoy6OiJ4O@ z8^_yA(j?~DhW!@8<2fr;3|#V4!LCFPMEALR!!^#^vU3-h_`bFCjAhOzg>UMG? zjK*f3nS#H>0cItp#v8d0RF3vgWe&>$4S0Um13)+HT{2B0!n$Rg`$}BXBR9m1KoAGK zJ%hgBoTl%7+Kh14^6H&8HQ@}UDcHEMw+s(IW`EfP?L3LaI?lfpV_Cnw z&#WN1gcgt8V5$`Fh!MCDA7be4L%l(Z-K|~oMl*6QS)%C#C4P(jMMGs`*q+-;VoJX{ zZNM(90@JaquN|N!g}a2N7n$)aW%Uf<65>>~2=w zx8^#?@>proFB9)oc1NkVij6;6KzM^=)w@Y9a4ueZmZk2z5$>f7k z*Bezh?;qH&!LU!a|B!GO`G_Tj=NNgdlw`uZlVjj)ADvYbS;dDbZBmh&DGPB5l`@iv zSwgv$`Z)#S$5Wr4*zIfvNj-MrcZkHRNT*!Yn6(Fwcw6$t62Q0r3ZWL#!rPANPFhdA zep-=Q?ob{eGr6}pc+NV~k~-Rn;AsP_a`xqDSx#C&zRYE>N4w+L{ZyT3S1O}T9e8?j>@o?^P|+gf_LCszkq&0!ZuyW!a~TOc#$s=?|&gI{o6$`N{7Sw^=A1P zVcv6hkUu~x-fe@q48UpwVE)0gn<&`2H*Im?b?zgju$z(+wdoHHc2+(f2V&e&;owTs920Kyg`dfSDn5w#Oun#81dfDxHp3CoB zE<)jwOznA>r{6T4dI;Ha(d}>k^$q#YPc#|>(epC(dWU?yG$rp-e}Y|qItlKXwQxd2 zfYpp9+tkq$mv4ZLSDbqM(u%9WM=5>wujS$>2xno>qR~+6*>R>hL$7H3F1phYr`wgv zCzM6g#Lm%pS5x-d)f<{O7SI0JB!c17kDALix#Yth$diBNX8_)Kd*?zg_c40v%Dr0L z8Mx|)RHHq&o{W|?m`8$-xh}Hgl2~@1G5x1ycMof?{DQoE8e!7tb^4HDFb~^*Ep`{! zTU5-OBwF!Ye#3ORG;MBJK1P7j;T)<&ohnRM64T5BJdfH4XU$)@>m*g7#wm0-SC?n0 zwrPJlceZEE=lt|1j#jCP@d*EbcJB6^8Er?sD7F(QNr&~jA88U1_CXtXN)Fb2K6!HR z{K!SRRlp4+o_&VDpM6O!>zp_)WWEvnx`dtiZy>?yR!bg}&`i;@+c96IC66=&aS{FFD@McMa@8f-M0}dYB^Y@Gt z&usHH9~*g2KcsuZh*w)SOzqc+CifO+6g1CJq+uJ5_Ed%%Y$O#xG=F+L{gGZSjSg!5 z`CoV)f`fPOp&k?2o347fTj|8Gz(?GSU9Tqc`k-kDirB<6qLUIgRM{n5lQj8LRx<&t~* z5JuKsEMbJVw>Z&S-Sz<>9s3fH#LQje*fm^$R*bLgFCee!tFI`(I_FqsRPLrf7m~_h zSV5GYqw{aULA95XX#^;Pf8@l=Tk^N#1PylBm?E4pIQz;2N za0P&3l8!``?O3_=-Foa`-R;Ygp*sDUJlF+3pbYqw%BYTwS{D>zDB4uO)ZNd_wqqB* z77qXz|Lckt7>A&As178P{*1XHxNNOl{xD~DE+pv?!Wa`&i`5#1>SR1$l{(s3bX0i- zHkipCOE2c~mAIV*Rt2wrDym}nR#T2U)@ahItC<}aX%%vay`OP|@_y$-+!j|0NITc- zKL<@WVFM9)k{slDqK$NrtNZF_2_f+}aaVfy1`nq555JIeXY7i;Jp z7js_4Dd+Q3{&B`K4HgQyTn@xY;^#BIz3G;bW6HHw9}*A}yzj9uSoW7t09G#9l2Yis z+ty%gx|1%>Jq9*noy_f`+C&=W<#h+kV1iP%7;niI3$GvD=LYFg1XI{6tDlzORCtl( z^&@hDrwcjsuLYjPl1|tuKBUOYk3EXY?Bp|?I+}IEb z*b~0OUb77EDU}>n2~4pz6yxgc7(j%n)u4K#E!WL>lv_wPu|X z5!+*yVEpR&AirtMRumfqkI}$Z$KNlB@@Ky!;kYvi==!yPbvEGQ7|XsVj&?WFNGy0y zE@u|7|3dO$w*FC52|!P%BgnmvmMz69lY!|>wxoM5Kek$#=XmejkPj_r3TP>IVZ)!q zccQb4k-HhSt^nrx0*vs>}VD4d- z?NlLw{<^7^yPxVzYgJ(NKX9npJOIMW1xY9#WJG#^P1|1jotL*iyUr=z=jl_m}JGPZ}ePp4aBEw!E6!sLylma`1w9N7Ie z<`tE|LN2d{PL0J-LN*q@3@bU93@Z~}S8eFtSvfjKb;`rS-+V5m02^wB8qDRJPKLvl zY5i%^aTjjcouU>es9Gu0BUjj-8Ovs9nFfwF1W03#MixuMw;v~4Xe(7@;?Cac@*!p$ zj~$`DA#zAm(G4SyyKR<@Y*--58%O-e85I!pkA3+%s`>f?%+UxkAw2CZ^5gk`542` z4#?QKrWcp!M(RK{Ft5L&6xHCTd`>h&YRL4(J2@(<{V5QT{1<^E-APKC5L<=`rT`z$ zk`TqRO7-O>F3W;q_T2n;;(~8AOo+cCW(kQ`Q0PxGR2KdIA^HmWEV;QsAj8^ogE@@; z;d4nks1$vE(NG&pG~65tQe?x^=TdmQpqFO>M{6mT6%NLS*FTA^j-Sgbd~0iXQg;guTIl$|mav%5y{`*$X!(*?v(UY})goT`)dz)-FY@^b4 z1abjhA7xbS3ipa9X=UN^F?{6XSHu%io}PfjQ?e!cb6Kwd!N4CKs$#TCUB-_y!^~&M z#_^Ne2XaV2_xm*kF=30vXd5{iGQBUOeCOT62P1#apSP5S2(c*z?&zum|64lSs^o5+ zQKy$W%AF?xuK+choqJ%TVf$!UgD>+nn1hmI2U%Y52kF%7 z&g7KxV#0waB)&LD#FWWP_e{RGW(3hdsg^XBi{lp_f~_>2SWywoL%x3ye0}w!p7_-M zmm5tm-mbws$FWkO2=L)b>BV^XLpjzh0(Sk$(_3|Gu{? zRd6}2)Pa20KAd*dWLwUJmB;gyKzXqhqH+3b67l#{MI8G|#ic(XZ#xh>U$m)8rf%yc95E*jdZ5X4i7xu+-Y zVQRx>!mRz+SOpxGtLxkQ)-TtacdjC|@nM-rpU3N}4_vkIvFuwn4vEh(YkqQp?C^ld z{l~mww~Pnt?tQVAwok|~tyn8sBNu!+;`u85>=rpwmt3U&ml}bsE8mC(WToj|Ify+Y zqawv!3?sXsL+Pf^wMVuFxPr4`f})UKLBbtGHUjOJFZmzng$;K#4SdbVF8%yN0-xP8GzE838 z3v~!DFITA8V#hxL=mld*hm+m8hd zGKcaZN&dM&I{#^`f)?YVr^OkqBa-cBrpwIJ<0|Ckp)Yhl6f!#{_z7n=wI4hXlr{%t zXd>*4S;n6U_^Y!Gg;-{lUNR4M%6ctWOj~nwKM?fmMtd(CYV#*?=ZdYPZ4e%x`lGyq z5-?dibQ3K$*xxa*?=F2fgrqDa$nTgQ2R3umur+9sfu=DsjeSfpr=O`y*co?XkH@N# z(i2d1igO+z^E`d@g~ZZ)?~T1Bc@GP8)@DOE+N>&};H#BU*8+zF?$We30mAevjhqul z;-{b#loMF9OSBDD)W<0_y;#d{@JWUrd26Uhv{R0yV?pI^1U}DcX#cmt>VBUd)a|&i zB8GDP(c2&B37jK9l<={C6fV(fw|@dns=XaVWg0Rf|7=asoTRSk4bSOITd?hw;oC6n zL+XQX^EiFRmtRqWkx-kKkMbfJ8SrZFprLK$_YmvgBXtg^Y}Q`&emc=$T{uDgdRrxj z591dgP$7h$rQEiDbD*M|a{fv0ZH^cpb`A`Vd@=C^3WIayKP{s(<}DrBp{}@a&7;af zm6y9BjkU&aHTXXJ2|NYk#G>BIxrU?W62%;^zI95cSCyQ}=!&4H2Sbk)7zN@ff@TTa zKR25N6$;$y_wf>R ztB5YScRe>>xNWFnsND1-SAu7u<3~Bg?k~hppnNBaxU3jpIVF#jTr3=kBO|*4?XWP>7!7V95E9G=4VDO+ zb0=Ma(~qUPN|=x=)mHKy2SDZ%a*7iIKJ#=eX*Gs-67{$5pPg)3PkG|sqfUD+BoAnv zC<8f{a(o!lY;uCpP@Z&Cz;K-df8B^FFMEC%w8$8lT{wGy^)e_1}ProcXSPp5m#*2yN_*eXT|-*(28sgu6rVQ^tpW?n2Ge=N$X$DcK8>KCZU@}qMAU>828oGei zK{a~q)ES{Hj=51h(hapmQJnSa<`2iq6ivst=6^WLE* z)POGm2k;xpWl9lDpQ&`M9k2o#?Y?FQ*#NS z!q;RnUdOnaJEmG+mMv%UV8SklHDtBr_Qc1ux3|~rY92Z#Zjjyl={>H#{>__fAiX7Y zz20W5m*GXVq*`2ORz~YGXv~4{h;xl!>*C}K$Ga;82*=dcLst*+ty=GGI#*tsfj24C zXea~>J~8Rrt&5ToVa!DkiLlatk$~vn+LWb!{P$>Lgtgg*la;_y8B> zRuK6f^S2VE;;z>OPi7LSr1?)KK{g)}K!{fW<&=wOJ>*7O=LGBFN0xk0XGFK2)-5K; zK&4d*hepZHAIxqUdte;26V%BX1+PzUo$~tb&5S^syWW_fiN?wLeEGU(`_ql7S47p7 zV_fq3TEu*MZ>e`zMoXXZY3_^ko60B2W5qL74fnp4NX;K=k?#m9Q*Q=clahF?R+J3k~k?5i8^`|*;~(~b+du%!0M zr^)gDJN4xYJ*n2k^OF@mMXb1@x%R0d7$z~V{c2u;&n+Q{DxGdoD+p+1-m;9A}*WWX&*kJB-4VOFmYD?y`5FdZCIZIWZhtoD39Qhn10%AY=a^@JeFTBR?{>4Vt$l(*q+**8ihI)JL z=M;6z&5oa6&n8^d^VO_3x(Hlwm0E9NV8;s5YvgN@q+r#J7H)gfo__oVtxomh&)e$k z74^zu?JA&PV)(wgvdJSzws5>opGdtMVRkB>#B-rfZ-AF4nh(nv~ z=2H)yp1eESfa+A}&CMR3w>uXKc zG{Z5K5S9we)aiTFXihONNyWeZ(Zuow%~(ry*smsFw!9eE6v(Rbs8VWV-o7lS2iOuk z-%sj6u2M>PQvhkXaPAdN$~b;-mx68OYuL+89PmwvOjfme&NdKK*Q4mR&tGq1@z~Xt zan#)TMwN1lOpCe`!ok_ zzmjM6id^=U7D(T(;a(nq7+vVdB2g3nba&Hp&;Y?M@+OvEKl=OoXTW`J!LpUG)5!1; zcIPGqTZ3YPow2cTUS1v**Vfk7H!v_T)q`Q=5oj}Df@^_AQab2zB?uD!NvB;Liv5H9 z_s5ypbriv!gc-UqMB=O*P110u=(4EG7sdRy_auY_w}S|4m-?ikJZjg;-Tvdfp5ETJ z!-Z4T*LNJQYiTi8lN1aPBCy?Hyfv#Ry^$0$?^HC?4FYy1ikJ-s{FRquT#HnbHrTiym3c45r93Tv=q4Dm$nAu1uuI`YgNR!R4{{lZkf@@TWP@nxwy-_l z5kq=R!{rvY25M{+ook z)}GzY%~^q+TNtlzT@<_NoYRI9wZkf{=?}mURyKuj=V`d9_5jyv)t=aAmyS=XLZVa% znjQD_^kf2L*)j$Zq{!v<-j4O_jwYH(d}y*uutW=o^EWD*A9U>z0`0qKB2cQHu6HIRXGb0KP%yhw+>SdxRrC7VHoE}s z?g|;!JzhqSte|Yj^mB0-k&%)j%02zSTQR+9^>XcB)TdfKJOF)cVFRk*xB6u~vrRuO zTboe|vjoJUVlL;I1KD?mGgZt`(Smx+HlXt7ueX7(UBnUNgJ=7|5tRmi<{!_D^J&j@ z9bj#^5D^|Ua1t5`J**C)kUi={PfzykIikn&{UIUE@qT zf;pd>$gq7dM!(JrQX})_MpETo0nzK0-c5JGGcXO#bZ0Ka2KA0>^f$F)nN|UgX}Pv) zYHC2Oyc$eb7Im+%gO4+-)ubUW6YFxmS&AP4x$7=4xwS+P+N)K?^56cTj}jP>3Ot9WhJQRA za1R9I>fX6#*uYA3#H{xx!x3aZ85Q6&;`#pT5Xge=t*6T*h+1<^HO<{3J16={Ts6`( z45Mc)|M?^g$~tWo)`<@o$}NHsoX&24b_(yvOizONBZHEXJ?Q)Zza@!44X3J3(+T)J z7Lb>7AJTnG6<>`PKRBG+Jq#@d8i>RBPDSi4`He9WwYN? zY4lT!ve1pWqtrQ7pTP0#ID%(i5hoP6YRFgklYo8T zSlJfB+lK*$D_!yjBM>j&rW;lXc>{C`_3L3vDqn*6;(jYXST%&=;dLVT+V)`eJr@c& z@0YlpUw_oMzR|?W&t?dA2xZu}rmlq(yKTy^=LFV3+%%~ab%v?WhAproU`n!{lEPv9 zA15@_!O;+QA&!EBxgGXMEO_pU`PLHlBKwm{2+VL*9%?}ZaCUh~T3VX-3%(7{lESra zTKcppA=upOzdvGyB%xzTP;eH6;6H!AS|50Q6D5GPwb zjL(0w!hq*>iy6Sz?EEe}S$Y47cP1V$zSgarn3hg^`mKq@=>t^jF(!Sv_Aza~QGbpH zVo4W4+G9h~(xalx06pdv0&KrCIXUhA{awIpDuSlk8gsTx4Ya~vf;s`dazx)ymW;nx zYs}Of_A?gq{cr}Cx@kY++Z{(r3T{rQkMap=T!lYwX=Pj%f$PDThJ!eQWt4#Mo=8Gv zWf1o)*fpR#qe9Lj%y_#Klyv%aX6@>ZrknwTIJGCP1;8a&`O1+?HCUAjO>pPAqm{9z zUu~LsU#4|*&w7~gW>nfg+$W@|SY_)G7HO(4Kx1A%Y}A)OU%O98cB4pCl5x*=_<|KOHEn_NBf3e$>C5F>djlwY@8|2Tzbs!Ar8)V28x)AH zR2+9YoEx>)SmUwVPI7P%@Xdt&;TNv0!te}4T3>$9yB|$tH^zQr3{%wKMJqb|P^~%D zilZyTpqM!OgTN-GQ%5?EXj2zCBn^j(T|4y^BM=Bf>c+i`v@vzlncRS`8zvc0>oEaF zZKw^76C_R-X?Zd)dHXI+KFShrK z6*Td#NlXR6+bOe38L1CYH>N=yp)9ooBPXJ5>{Rp~c#o(EkqY+5BPqZ|O!F;iN08a5zYw=nhN^ zdh%1w0Xkr7B+n=Qkfak@Zl}eH#-Ss-J{;Ji9yDbM_^QffvuHS}Shw%OAW**D1lpAE zV!N7hX0+Kc-3FLu1%v|a1`Mf(YmB{)86u37@Ug_XqvEio^J{o9d@T~|?!O1xvo7*}*bWy>#`z%~4a0~j$< z@xI@p=w}RqCAdfBKrME@i`MlP9Sed1A&n93SD{-X5m$um1AlOBTK5%n%oa}KZA(kc zJUmZ_igutX?!f-+<|i75^SND-q@fm3VR-sx;e(#2NS7ka5UJ4Mk*^$rLCT1e2dx-#y*+ANauPe>a8>_MawL{xi&y zXo!TD*bvT)A9s$C@T9>^8tPO!(9im&rf5J1^~3iJpef|q7X|&sdy6f&w?iOMRzrmm zpF7|Cvb?@HY!1WCc8QIy{6%z!Y53?|?=8T7$7Ut8C?2PiFq;Y&~KXix@ zHo!v^uGUc88&gq<*@TogHmhc%kszimi*V5X9B_a&K{Zw3iCakYV{)cpwmlzoGqc4RLJZZm3Uh0VpzA^Yb7SdlZB;XF066z5=?XRgzo55GAN;aLNH7hEIZd zg2C)|l~KD`6T+c7C*#APKx_B6_Jj6uP?^Lthl}R!<>aV9@hGQ_J%9@u?Z*fE;22g~qYOGJfbKAR4WX#h37i35&lf?4ohL_lt<4j!ckcQ_DO)EQlo*3x=`@QxrOR`CyYb%B*efKK7jMoETBJ9V%)o=r2Mns`CqgA*DU{-`}$jX{J-Av|HNAkzBh&kRiJ-XRB?w$ z)6<2ij&Bi-K8u=FBG9S3d-5~XY3~Jv#$7CUxi;oS2&RwN3Xpu6xOe%=v z9vt_7fnF)nxH*~>d(5;T6$3!VA_KKTV%nL(bts12I*?TR}Bq1RgX_KnEH3-vZ zuL!^4a#yvqwP}{kB^$;>fZlhTk+2cQM}8ZaunL~(LaGmuip~IjV?roD(@#xZU4VHS z3dd%&NLM#t9J1plArUWkot=dewGtJN&``sH-K_2zM2|%b=R&(`?v)RW12A@>9wqee zo}91#3g`qX*cQ@rGDDmNb(ayf0F*J*;RWp#x_#G>{6%zBeGCkTa{f4s%fV}*R3TGD zfgeJ{)}sIk<3VK!a2i25+!TmkV7uo}J;-Up&w2lQ&TsF#pW){` zYjuQO_Rb3S?_^i~bhN(yDN!swwudOrr=@ZC;K63gtyg)=^^6}h&BT+qak!lWDUJSf zMX5JG0J#v7itOK@|WJ^l@5xm%h8{`|?S|KZJscke<{ zQc}9U`vxPNe}2S3GKBe76tc0n0DRN4H-yqoHCN)2KHw%A;mauA zf>&B?&BlG3wKQr)kJe7aES-(nmyhG`j6b+r03*I>d>69a^NhV;{r8lU`XSXE7;nJ& zGLd83>$iHkSF?;U?xLfatq!4lY#LN!|0&wiJlujiWd!F+AjjT&oN2kqa)+s7met&3 z!yc?(EEGcy@VDoUj2bt(-S09ZtQe=zaaSkOP-zW(k>d*cH*w!3Mo%-c*uTLr;t}L0 zCEMpmB8M{d_gy?SfWsz*mwgCNnrhabZclYvh0Q(C)qw9}apzVozdsE}-^H-KPcTk+ zBmTSxV}tj&a~^EmPwQfQMUqlu7J8*9>1CmMuw6HLOr&_unT(g*31qBJXlu1~ril_K zwiutUJn(66G&}!+JaU!)$?(scjgZ+jFd2#&NN5v(z3SiGQ~*Mvj_@{6Te2WcZfSu| zZg-N3;Kukhn@vQSHwm_ZWr1Q5oW!MOTlvW9hMibHA%En-LJJ{8kL~`u=*RXoUPnna zS51fwUE@JCy1Ep&k4G9O|G(YfAC}U5TnWR5$7cw!3!PM9h0gnDT<`@R+i+psfztRW7tV_)Zb}f1NNLO zT!QZVpN8?WqfNJ62&2snn)V2IXqtOHbP&YiSQ5EbE>rK4#~;{-ROQ8sMuRkNw+Hm5U6To}jo|E8t$F^;;yYA3xS)?)MQ`}2@IZog&2x`^+L z^lMaev<1I~4&e4QoQ z_n$`5XD2g0Hh^KgIyO=FRF=FLjjggkx}``4(@#$A~^1;DJkkCMB=X~vO!jv z@-5zn^vvMEY7EOd0l>0h;ySL8q@%@n_{s#n6kj2-?%3c4hHlcaw%%V7NiyfPAk|8vNQ@gUiZo>AoFUb2tYODAh7r~| zPI-~e_uWyCv|_p($1whNQ2-Tj$$FX$1CnFI%r=6XRQFPZ|AHUbkQ*#Y%+8gkys=wc z;c<|3R7gFbBb&*jyI-V3!4KNZ>VTeOWGrLPEcX68b=(biO8*xs+ z`A9~M66Lf##B7P>V~n$VO}qb0^HgmBWO$;-d*4x7^eDpBmla?6uBAqJRG7lj`*hoN z820JWAF$v{ssx`gwpuSL63f)F_nRA_H0p-|2Fh)b6=5b4E(VI~iAQn~UnbW($VVm| z#-wMHGqm=(S`Ta}S#TE}cpw||D=Hi`G*|Qp$7<7#8JqjxpOqxxN`;-nFuO$3%MGW~phj#Yuh1x}RJ}3n`{uCzQCx zE`D)$@o=tL`D_0@d)gkPEMjC~ro?sE?RTT@zw1z>6nmDL*_DSjvty4F6VW=p`wz?~y+66Y#eQ>lnUKD9_1! zIOBfWB1_^C(&1Bj>b4H+x8M_w6H=f3xag+GgT!>}9K$Ky#C!gPIn zNQp7aH>!D`jz4y6Fq03{y7)OkjtyFfnmYaf`7z~p)X-Q=DOPKBsRXYt`Rt7k{)Bmf zCAohD!uCYh-ptUV5a7>ve^TlagWl>h7y=F{fq+5IRF zsn=qbafoNb>rb8h^IfesTVmW%PJX*0Dx}kc#TaRL!$g#><{0q^-qDTdL{P+J2@_- zzcU2ZSTgtpNu<>YOznLEeghi}u6;$K+`T62t#W$-GKfsz`v0BHER#3!^74BWQMLN5 z76INawW=2;FzM%oy%LmsYUkGA?I!Z8F>zivYmTm`$0-pu*>63&egV&THr4FQbX|#Y zbNtng_S!$Y=a6=g@p?UFasYCV^!;Z=J{eW}l54-i_;tR};DY1obH_92F$pJ2EE|8P zqn2aL4{OPug+S6UuO4wWRNDU6!1;qWxZel#x_z!H+-f+>v?qT=%eq!Fl830YW?Sg9 zEJJ%0YaIx!w5MNgEgsYxrZ4FK+-(&c2X@*rAfeLfr&vy@tnN zyf{KDCns^|hmW_(rE8%o(aK!8qM#wHIBL6xF#uE@>(875iZ%XqH`eMOy`%Y{ns$9N zKz!U|;V_-8fz38hj&VU2w$zMJZI|-ny&%ta1?N4GU=^Nafbs5Bn?`~2S7jdmiLHUO zPf4a>ogQM*+(eI7$DA-KYg-_!KCTcIokWj|`$@w&PJzX9?|=;1#)cUBFc*ce8(U?8 z!Tj~bmw)}a5XZD$3}@3`@{moPbk)Xh0nrrr%0-`-nb-&qrp7+Y(8}oY0r$|@vYg=d z3?{ea-Pvveg~;NCiE8q24j2xr_%jEn0q%Uar8Q!?J|BNWS+9S;nxo{SiFE`mt@Lz{ zo^K~c1pd+;(tJiXmmbrwC$9KCSNOvZ5>EJ$qI@`C{sVt;2;Cc-&6T&v?e(7hK&vH4 zg1HpVz1c|KXsDT&x5-Z&;}y2X*h|FDIDhXlm`o{CGlW$;HI=C~`>ZYg_%jM0%j2JU z8)Cfwrc(MXDb}ehx(zbMN-5mi?(1>*Cn!@ohK~cA26{19GaAs+w&+u`ClvBfNZn5e8{@J=*q|T*?LI zgFKi5US(<9=Fx7I^^UYges?q{#=SO@h?Q(}8%UrO&4=o--F_vqgExRWZ=O-B2H{=O z{qJhk=hcCDJ?#wp)0Ixga9hY$=SYXi2Xb*3=3fhpW{f+K|6aj>Zt^&55!eQ=NV{mR zhhR?eU0RA_SgNq%0ZJHIyfxcOn!n1QDj@R+3RnI+4(#mM?Xv?3WQ5{ZU!JYT&EQOg zDMk2f?R`5b+V~WG7Y`Co-*#UOlGD^-?nt8afk1&s6{ZygtF#wLB$hI}F%vIBSo2WP z3~q~B@VpQ{LzkpX_w#o@oyk22o? zLfrjF3s-5(y_!hnFYeMg$gd>dwww9B458)AT3{ALww_N$cUty@vSY+Nl$E7-ROz|A z6)Wm;`c^RBmu;r@%#UT9m}MGL8+ljIMRL#9%y#1CO@1uvKRvb+N-RYnApIPJDUm}( zz6=_flGPHbSK96BP9j9fn(w59t+Kwt$ZnT3@fm3L6~oeIzd%sa$7WM9I_Ik|duPCs z3}ezg{E`J}c=LGrChL`Beak9|;xu})k(_~C2_C%BYc2gWD6ay%@_4CRbp!y`D+FU}C@Mg9GHz?IT`;MeDnzJ8_ zEbt|YfSnQpTs~X}K~Y$J_Ml6bcS56qd8Ql2e>X@`q}4vvYUn*e5OZ`YqOP87OQk|U zrTNQ6^mIHr(jjp@jr@y<@3-0J6y?Vtfmgbz`auZFz!3FozO47F^!1$b)3+4a+UJt4A5YFH%92~^5hBOLWO!q9TE~uMOt&SE_tzr|Z9oU^Dy^Xtezz+8xDuB;B+RzN zBr#@VECd&}?lXJ32qajM>;L>&2(<9FfhDrmy7{$##+$fl$>k#r2b0Fh~CbS^p{r)HkZ~|BNPLY zo&5rV6;?2Is8t0cI8ubk3WdMO391!9k=Z>J0SSYn>0e1Aot?>*9_`@yW2f64XBhKM z9fULt;}-lwv4lW{pA$K%O)TxkHqxGxz))`F9bT&|PwmLC!1%>sNzyBZ(vJ=L3?ytM zYIx@lkqSorA=zWAEB~Y{SLE4&@qQN_P3iK@c?&Vo;IJu>gLh}((To=JWM>vFVCKSEEtfiz9q8Ex;;6c)L!`Y@8y`hw!#Xvj3CVAjoPxbf5o3_NV z3fR9fPV+311;KqccxS)VA430&h>J}Iw`Q7#iN@-@4VH?&!T5^PalDKV7SWc9=H1qu zhhgq6;3ZGrcUXK<_WQ^&QCI(Akqx`S&Z^--E8RFT>W@itii5oU@mBKqOmS?7w@s^x zh9U?}zN4L6rE;yH($Vlmn$8M-#eIrBcbaEM@;4Ht?-vd`N)-!1n!WZH8Ib>6v+=H0 z+j!b7QIhW{qzv0IglK>_F z0P#u*uLicG$L{N~PhQ^@WLx+oH5bwz5J3Y#DD10t5|mz;&v1?fuiFXGo%?~xFbPcAMLcWl``(^W%mbvpIR>@gfiE*P}Np*9jW}d?KDF^_h>%MFr z0j*bHP>@xi-02?BRALB44uaiNz`}sR+jo3O^u;U%(RTXm=ZDGmsS?pwi_WgR90-&l zx9E`$>G+HmJcViL#o*@UcoQL z2>+QIYqS?QW%$3^=%(-E?^VTsrUr=>ai)T^^P|+gnA3}$xuZo;uLPj-zsNfYEb0{x z0amhYde|u^Wv#L}v%;vt`pQE~dNldAlq7@;|1(4`;q_Zb5&bNl!6T?C=qsMf?4xyG z(@s45(t&;7duTCb)E}i}REi{}z=31Z#whirl^dF6xqCAx4fr@cCvR<36@m9%i~f3} zZ?eHtVtljT7SDdqsFJ-fQDQ0Yh zOq*__2zVlB{I{CuTvI}rNaGV>A*SX4PWpu(ZC7$jO+pyT5KV6(FKWb|b}DS1l54?1 zcWHkl#kDr1nv6%XDl$# zKIHzW>7YH=r5+8`(o-*#E25ET!36P09`37IEqb6y$_dK-3!o`30L9Vs>in*dh1s%% zle`yd*bW!~t}x<-P}#$~@k=DZ@o2Q~-Ql=k$lGMtjj<`LZb#1fn@nEGM~CL z2X>w5%!%#3SSDcFqCRg@&tFG3G?i$*5C#E)A&=qxMpczE)JhRry6f=#_`v?GjFph+QXX_eOIohH)v7jsno5(LKYy3l~^DUw=8LMsiY|s?}>gSQp5J%BK!S!%&An6 zlR@fRzRVz0jDm!Mtixl==r(p*Xz4Pe#uJor(2=pRITRJdtl{kBK^`ITNDlMbxj|9F z3~HWXRk2@s&Op0Cf14eL+7?%B4W%+z#lFuX{%q-5%<^&?m{{6&auTO4eq8B|rSP7dtn zJsRmiawtf5)n@;-;&?aPLU1%=RTe|Jx!-p<#P8EdWYI|pz-xnO)fpYov%H7WY3GH+ zqHnzHUTvWXPT9IV2Z7C*f8iYcYuBoU1M?f$z=8jrb8Imd^x9!^Aq08c9HQ&Qi^*w+ zTv&_AmDBBEdZikfi_>7Zv>qwUKoK*Gy5fSJt}VHl4}ZqeFqIS&Lu;q% zr4(eiZJjHHHW1JDIwc_-@c7mY$)75mVg7;uR0-XE@8z1e7*qssVc%^~hc z@UGr4r$8zr)av7Fs3S1$Rfxd%o$U!EM>a&hCN>&~(;(|x3`?y=cey?`lu7BYPdF)_l4p&nP3WLO5U4~s zsA-@UVcgg5?IKebQ`|x9Yp}bK(&^#LWR;fRLwWmGWk>wSv!zg*I|Uk<2m?tnqOxAE zAFkcMVPT3u|H06k$>IR!UIqY8RI6)^P#M!0*syxvi%={z?_xtILeP?K8*a#`LTJ0k zgmgzTAl9NYvT0`~j3J zCLeZsXos55y~{DXd=P2+3|^7g1uMjo3{6qqG1!b)PQQ)vXw(_^cNSD10!a#&`(5(H zc%UXD6gMx-yi7X2c-P7@mSe1Fp7hQLX%2B}NJ9wl096?k-HUe6CL}E!pd7@<_(hL~ zha1Yguoe>Ca)7IwMxjs_s*{}BEw5R<{^>hs4EvWgkaG=nQ=91KsZLK(ZE zrcjK^Oh=N`sISGqDImW$ffs1Buh}LqZl9cGSfesgH3R}@LeKN+H83qC0ht`{Lc4dY z@9JvFa&Nk@(V20EOm*MT!VDob%z9!P*F#c?vbyE1()OsIC0r7JOw`nA@l(48RaLPs zT#c|7av}+GqHTUqP*7Ejs&e4bUCKjghig=4Ivmnq4(R+;K3Pv`Pb{;_hJ-6#no9Mp zEGf?Z__Gb|!%diYOJaptwWw*;vADWTsSi3lOk>r>q0CxlC)xSEp{9)SV1i2V>>DYV zZZWbU>&jDj)W)tv1H$l?^Jin0cC!tS0;Gp%GQ6b9B0E zX2esJ%369P(jU2n=sOyHCV=_K8pGl`+sv`)$w@$0!He{hfN;k8`ub0FB1jW8%2N6& z<43jz9yK)g?p^3nUphbC#m=6x)CKM(PAOB5R_GFK9x#Qn zsvyMh^d13$VYB<~)9h*a`O0QyW~Wg%W!R3Cqu?<=?x3gcb*j+mqaU!LFQ4!_QW(OYS+hDtY-?`U6`Hfu@syYVi zyMqLm0)?UaV?xz8U{(g#dOlc{@kT1Zxv0$P#fKZ-ll8|kr`zo5o8fp5sg_kmOjxil z%u`uvHwArcNzKg7^gcFjq1al3wW;)niLcjnXOFUX)YsQf+XdavVpNFD6Zk^Le4a$} zsm*q8_v*gFT%fDRB4?{rXZcCK=)QW!qxFK~@bgBO*$+1p>uv7`<<^B-1TeeChgvf? z&z|-f0a*)IDVaZXsCcBSe9-mHMx#le8(On|H+;NQ8!b?k!hOd&Got-czQoBVI+UC0 z3m+V^-Wf8R64gRtVq*4h4TPqy%EDMF49LW1)*s#0n+LkKfcL||?TY()%7XP9ltdW| zD&Q>MeGxXK*STai%-F#(7LuDZxNT?1Hm3ra#wWU!&+QsrDkXAgKmmsfSs^xi?e=dq zv59uic(qClnlPy~$vIsQ1fYq3Ou+qAjUqkj4!_K!*FqoGn0R)&yAEfy^o`_?>gns( z4oWV9=PLV@4L-}%%l`O?$DUx1p)<{Ac-4BE~2tD+hZpm3IA+S^YfDL^6FVw zq_X@ab7`awZ+f&hK8;4!uTh5Kye@_m9xjs!N&AP~{ztb#ki17-=u=>J(AA8_ z^q*gbd#84d-`{hx&$|i^)0H9|hJ!JwZDG+KZNCWAqv8=ocYAV1#oj{Md8mde9r6aA zY*BQfZ3~Dh`43)rNmI@RPySEf?-Bt|u?wVSU&K0XYUXp6b8V-X`HmBt}7tC8Jy zG08~4b-LAtKHcu5PulKUC1Y~#max_lE-dalz>2uxP0v@p-Ifk9(ARWQzj|_@aehc< zz7cj7=9t|ol4)IC0ommNa!uvo=Ou0huxZ&odvMV_1_0I0o;< z^JPK0B*6BG>tyjL6zo)Hji*c9L7rZUXlxZ;G-t^v|#ZojqJv~FuxKN%!vEAxP^`E#G z?1zg#8u)2~J~T3-XJlkVvU+=G%fQgk&;%U=UV(&d-fs~iKBP#Npp@`;Q+!`WBL3@O zGVgBn#R2_B+x z;rl1`jST`)>i~~{n?Z~pgW}z#?)>rf z8Rs_}Okmcncv(L3bypdoBLqD**0^a># zbOAg-eDlv2!`aG-&ghnCudBqK87QqvyK7w&6#+>IVvinojjsZn-lfyMrT6VNrz(Y_ z@j!>{R%<-TuJOr*Ff$LBxl%VfAj7MwK=pH-rV>~xOd1*4baeP+qF(g}AP2ZyK$J{? zE&4Ce-rBf6JeWtwPZ|$_l0*wXA4EwAGk>t{(uQh^4^(|Uf)0HAX>xLMHaa}uA!eoVV&F+6= zGeXhT8W!qAyL*_A0#*bNZ^a?Qr4%pC4dqY+@T7d8z4Rzoy$`RYCsBMw$k`hzDJe0M zo&1w#rcn@WHgh|U$O|rc9dOuMNwjc0S)^B)%G6t$OjPfkh-LYK6U|sX z6;7VeQyRck23vl^9I{c5T(5UvCq!j5eX;cB+FFEHT?v|D=00}HJumNimab8ll-#xe z7rGBSqsf(R_v~;+*_(u;M|+x^`;EWJw&vV4B&yEDLk2146;ktynUN}9V5IIH^Y41q z4Wq7$dqiXXTu3xvVQF__!KRO200mG$$B5RyUSB2MZF^jBppd%SU}|vyi5BBKvL}lB zMySw2H&0>D;kBx6F=f0!^58HplW5~*LbX2_nY|0L)evfjpz$eFb2@vOId)S$Dls-d zNocl&2lNc(`$2~jHV`++`Oi&8xm4`I!xZFz_7<6QM?M_UAb2e?>13L_jU={sek3I> z{#bAfeW*CsoLTucHDD?!pq6X0FgG^qR;?+&4q`xkXn$b%T)z?5STTW{Fe|?2Q-6GL zO=hiHB*$76Y30!Z*MS2X>RtfHuJgk=qWIB$hvQWHil&>-xK_KlxfP5!lSOoWs%Nlk zmG6u!I+drrS6?gbfm-Z5^bqiaO-hwg#eN@-H0iKu%1|L#8JV$*;yrHzGi9(-L(ej6 zw18QWCNHgEpDc!CEE%lA&?G(1%yca(1CYqX z*E{gxN0rIC!>!hljt&b4i%()FUR%IC=yudpF%N(uFhiOlG#7P z)+D#BxN$cz#^+z2D%MruT!QL37z{op&P%MXQ%4NA<8tX5Jjt_ozH`Eiv6hz?;fiF@ z>_^xuI%&=L`rQJzD!@)3XM2Kc!S$jLA3wI;`3SPpEVy(Oq&HDjRaM{v%(<50nB(zB zLxQ*tzXj)LQ8o|nZo&rQwu&ZKA(OWDw-b|0E{3-IltXfGqKW9-i21)HNIM^Ag!c_erZQq(+TY< zQ;|5Q#ig0zTHvwKK#}eM5u(m_%{+T{GZ~u05rD&AFfsMSX5Qf77QdJpUHZk5Jlvfg) zxhwKVi{?S($?r=q6RaHjP%7*GsmY;uaXR5V+v>}3JDMy^q>^X=Goz|pJd-&sRKB2{ zsn9?^LI276uGSZ+bXe7( z1eTwd*Y@pNW8Sr(Isq*WQ6IknUT5o1wo(whd7F$@6bbOt9yGeZ!?IMPZMQP`33!NHd|CdZZ9h7kpe$Qv=v){sMnW@!Kn2i!x^AiZN@EO1d=&x2w4b9NG%&7p3k@l&D@<0YWM=y0uxPZkb zgIXYec^u)`RKF`&h2&Y#Bal1Ozk`x`5gyg{`iM zON6P%be$L#MO2%UtOk>FYSt2FOA#Nxymtp)p6WN@kkjdbC#CxJicLguc>!;ni4mPd z(7H}ryuSHP$<;y#$X4Ic!igk{#l85!tT`zbLkf&49UdOTR`Q)PP(RmCza)y_4b9x& zMM3ERZHD>2c~v;3?5k{T{RI;>l?X>oGOc_4q0S#2W=*KG$ne+_tLFR7X7_OsP$>o} zkGwb`bA<`#!@+<|qVj7gd01$!E=hjntUVyQ6+p{-pz6Hr!0$G-cIf($V7yqcUzPfP zp#%IOR7zu;#H%XMu+D|iwUD%A79_f{rI!kK98aI>%P6h^AUQw%@%}3reHC!<_mL^1B+3sh%eEEHL+qCA_2zVOkLlfy*bsDJ=vgb)2ORZZKFQl zis&jLPOC*g{89fhMvcu`0A0dkH6VW_wIORl9>TkfdUmCr?>~a+`cUegyJP66hEy)dPDzHup-+8!8Xr{g#I4|uD~={%OAh^`loN1z@nmY5o-QEzv>yDkcs*rX+p(ASQrPj=lsuB za5}8tPp1qKCifOI1E^bJH5IE=Ho$vGsste_aq?L z5MIAEYrh&7{^#5OnB{-W9ok@odq5G86H34WQ6zOA4cr=XZ`ZLWnVGVP3Ovz^egK5D zK?VX<=S%DBX(vc3QBX9iuAZy6N0lQge^;&-ne@K#hoDd+@Iiw_5Jg3sWnWbU60@M7 z;8W_4(}~z8j8y1LkiPtSwo%KWhzP|+$UB~1W_pX0jn~)1!;!0(zuOHIqiS}%#}(vH zo1ypVsktn;X9aNNBEK2vjFC{RFXw>7EinCu@jpP>g5!03u-bzk3{8ZkU^c63IyEkJTqZ*;#NIp5MBNnxOnU zP-5%|m>lk)T4)7F$pBA0KWxodpL)>ZD|P%!R%6Z?W_8}0`+gK*TaL^ zY~27ly4jr`?Vtici6sjxOi1=((^G{>{=lQ>9|mVZ1EZwwENX|GB`i(E0^ZESvpb@Y zz(LGzpC#n@J9+z=rmSfA0E;2e?YcJHQ&Q$5b&=yV+v_@A@FU1)>CJoT@EkJqE z{OpKi!R_;kc4H5ss9v{ZmkA z%Jm;_`Nvzn@|IQe1NwvqN8{^#5x*YLggz8{B-Nl!wpN7<7@FtC`#II^?nmvW#Tjbs zMwsGogDHr;32>p^%MGo~MPt`d3jwMppMe8#5qS6>Gbs6kLi`xDQ4)52?y_mHAx+>? z5wj09b)eC3Zuy(24^n5{n5bV1Z6*?q*$`F)51d1i=fpIYD*;CjpaOJg{Z*r)F50sz z*KIp2rUjvKi2>5U#h^s4-FKLIRKw|2aQ2nSoFq4Vx{Ikm!wP zMAZ6;h&@X?6sr~h9i3P;C=cA1pG43NQeT=y4a?SZw>N5&Wq8 zf?(_ls*eaBguLJjAd3%$(NQNUtc(lhw@{&3@CqnJ(fiQHXAf0q6}0w638QK4mcRwGo=V+m?_m;jUN8!KIF z(LE0B4-+Kw;*xt`qoQOJ8d`$aas>nP9KbCew>s3!EbBRfgo-_hlU++Kkx=WDY(oc+ z{dvAwet;CCfTR+R{*NZma@+V1X#S)2jTz# diff --git a/dev/_downloads/3321387ecbfcca786e563449007007d8/generate_plots_q3_3.pdf b/dev/_downloads/3321387ecbfcca786e563449007007d8/generate_plots_q3_3.pdf index 7d69c91bd3ae0816ad85438bc368a69dae9abf15..938ce9fe4aaeb0b316a9b6d36485d555a379c55c 100644 GIT binary patch delta 19 acmaD;{ib?@s3n`Bv5}F1;bv*ei!1<8Sq9hu delta 19 acmaD;{ib?@s3n_$rLmcz>1Jumi!1<8(gx=M diff --git a/dev/_downloads/33391c644ccb248b4c17deb758dc2301/control_plots-1.pdf b/dev/_downloads/33391c644ccb248b4c17deb758dc2301/control_plots-1.pdf index 4bf44352141e85f28d6c6917994d25ab74d3ff09..b769e137955de2f90908e5c1cb653d9a1a7acb1f 100644 GIT binary patch delta 19 bcmZ2exu$Z%OLI0uVFEi4C<*bI%0j7-h9A5UVDVg>-f$_k?Z delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bFR<%?%B=A5UVDVg>-f?Fys- diff --git a/dev/_downloads/3af3ee18448b7a687ef6594665f932f9/plotting-19.pdf b/dev/_downloads/3af3ee18448b7a687ef6594665f932f9/plotting-19.pdf index 6f7a0604dd446b127dab66ad4df3ede097c27e4d..7f5f64d7f93d45fc3a05ee26314f1a587a1bfcd3 100644 GIT binary patch delta 19 acmZ4Owc2aLOeHo$V delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*ERD^LO}88EVRm8$0JVJzSpWb4 diff --git a/dev/_downloads/3decd7120d816c8190c63dffb192484f/beam-1.hires.png b/dev/_downloads/3decd7120d816c8190c63dffb192484f/beam-1.hires.png index 72d0dec7731b90bc448fe7296d3c3c96891ac8a3..762e01cf78049709ae9af31f9e2ebb7d45065e72 100644 GIT binary patch delta 17426 zcmdVCXH-*bw>G>20*WFcP3c8JML?w2U<0>`SZGQW5Ksi9NoU1v0i-G-(p5yH3rH^k z>C#0yBuJ1BF|-5-$#*Z@`#H}(-!tCx=N)H^H-CVvc9%J?dChCiMMo{_TP-Ro5QTmY zYuGQY6clcJP8x~0m8L#b?)O})Nwp-XS4$9o`GMTvNz}xF6SaFq9@X;b*FosKZfcywN}@uPd*Fx1{TZZ;kE)&rUG`yTu9pwfsgi!oAH_`m>&ivwaP23y$ZR)^eB zfEfyE-iO*(@HJK!Ss>=$_m!?$gBWdJOV>b0FpW?z~<^BOxv!2x^qsa_GeCNQ_3mEo^peONZwQ>RwW_}+enl-tj=1)I}!L}c+ z^n;Y_`5@@i_Tzc1{`GhtQw);XRun9W(}adtc}#I22KD_}YRVfJuBqNy4? zc8KVjrGllX14Bk8OB-U<#!&Bbuz)i-z!@Wq$g{OF%;}7f$i*Gn5GGWSC@P{C#{@yg z&qMIzu*|kW1`RLIUC@n_WKj`T5eOO-g-#m{GVF;Gj_CetUWXxuiGQ0lxC5(*_JcA# zMzEd|U_E_UPiRM!v4D$_=WmObj$ZoyP0Z7}82VC~}R`}Q&I6Di~wVHkPr13@(m$VAIb zF{tKTCSyn~f)R>hV-T_ZPUXh5$FV@XjjZ6(0&rCYS1xGpN5+Epw8{8rW>}uK7PybrnNoQ0a9XffhR=NhUn?VsUvGwttQI3m0Ss`ts z&%kqPzDx$Ve%`T9q~hj16f+d>Voj$FY_8@t&C~@Ep3#56!EF7O`1zyHIgtAYVW5e4 zZVaR?-gfD7;~bu9w+D`CB~5x^{T9hEm6xuWi=Bc)*aPP2Wxuwb-MG4KhV%Cd)1ewS zWO2K!nu4BMJKR69rb)3%^qI?9XS6#;8nR(;iczMUW#6ny`>`x;3a;91d=DyUy^cX) zm|tso9<$hN#fH6gQ{9WEQ%}-r?zOcgW^7hAYoYeRC-2fUp#*t$NG6QN0)7A5Jz8N? zY8DZo{-FMQ{n^6wGkbSoq72fpQ@RC)n z_Wn8aTFdvCUF6onGwj!FsTY-cVEf#by)pjo0xVF6aoV+zx=yrk-A}j5jbC+g?z0BH zBxyKnIMu_{@+I@eyPOiK2wKpT_0nr;Y?~xl>-P2W=?p#SU|&I(Cd7|sgG5p~Dp!r> z1I8X65E2L@)YbK}@QOX_&yLJ}NSiKoKErj>6t_I&ry~4AkU?bP35_L6)(B#N3=Qn; z3GL}A5kK5i*N7tr3$I@{Y%0l~3I3*SdB|fF$D1>!#w(=Y^&@zh0|!iB$8ZwIxDPXb z^OtDNl>ur9DJHR^WucH?8w`i;NFtOUI0 z^FOw=83^Lb-*TlrtUfYYeE6oH+AF$_5mc}fnEqYdSB@=q5zEB;j5W`^tZffHB~~e0 zlo6{{)*JbISxR``E!S0D9qJQqkm{4E8gdccz77W9#H)*;BIfDc)HY#@Jm-K+EMe@r zzV!NNu9Lg*%i>ktnOD-?1({p#aDFrf?J4o?J&5;uQyrCsh7{`m)W7TXg$B6u)N{lu^jGI~GL zlWs##johB8?_}KJrV^)xh+Lhneg%FY=uqp97wJ)jfq_{-6k?Dh@Gd7vP2p zC7*u%Ij~uj*YJJ7q&NRbN8gdr%EK2J1G=k=Dylh`_wD0BP^Vq}3UJrBq8dX!DF`JZ zeO>Z$eHObWS6%e}V+RlX5EVIo0RaWCMBtePj&E%cYWa0DM>PP{bnd~xWJC=TXOc8xKL|H%`f-bIzYP@G|0Qurf%P42o!k6g#{Xvgf*)3YL6%<(?X zMV52%5zOsN4BiKK?hFNCA$8ITWij1)7+jPA!pBa?;bZhsVUgRfH2fvqIkkBJ&>FR? zUYUcTgT}#Ri`!n+Y*5?@bxlEWeGQH?KiveVYbB{C$qz%_Kd(JF*RO5qfh#|Jvm%r& z{&slV=<|91$6mafv^B}tpoNr->lhz)4GlxxX(w+nKx1wzAbtf zZ8k6%ltj3xeLAC99_gZ!w7=TOtc?(fs-J+h4eeDX<1I z7ycuP{X2+dohocQAO+n(0?y~IfYb>zCd?f;oucbxPKh;bOO6Xs`TTSsGpK3Wi<=RCel-Y)$^ zW`xU)9u5F7)8$pNH~T%699|6?zg}+WKGTA%|M8pCB2K$cXcw1F?S&FcuBWDwzHX75 zz_TyS<1GX3Uldi#9o}coxP^>?>!!ah9N$DgbR5LZ<2O%0N`ZV(B8#arWOd_zhBiKh z*2H-JbLLSK0CsJoZVy50C1VQ$kQI}<+{yiQWE_9qh?ixeKOubfk?HR4^&hw+PIHmt z+>SYG6<03ndIte&WxE?bp-oe{%vhr#A06#FmfvIzq7d+#qKRjpi`&f+JWMk!KHHkP z#@v2V^s=tW_WF*oYO}au?j@8E8t*zoM!ER`o5*!lz{t`g1v1o%uiOji;8!|##}xjI z#Y(cuWSXmx57{Bn__>n}RCfJHTiHU2jVdJ77VUjh2>!~c_?Di(lm6rs^9|Ha2%2ax z^;@e4Cg+D;D|*expQTpZHOQBiP;&Op8`+_f2g(jlrJ5>xqgh1|kC8n7$OUlO{jyur z?E{;$-DE25C(%;4Kk$AbjIODaR?cui2^~Bb5+od`VuxFuXk4A^Z%XpQ9TXHy?%MhN za@xUbA=vc#DFbjGZfA?K35W zrzKmwls7HD7h<0hP(0XUGPs}q?X@o6kG4wT#gfPV%-ibbg=L(}X1+0Z?rcuJ)$ z^dHq5@RYl}+?}Aex|F4x8mhjz9Vjpb`_Y?6tVCurx+Y7~a~X`vD$?>5EQC;R9? z_b@GlCL3ZuRtR}qk$vY2LZ~sE6N>m~WuOh$&`rJ*XFB3am`YW9MErKt@Ezj`&37d< zW?t-)in$=5<*ye5BUqTo_Z9gDxvn#{km|VG|@t&C0eEM@;*m|-pE|XyD`|K)k zxeF!abHh)sJ+fMb*B1tCJ+x+y}?aLTLY zaBN}%fBR2S5J)GOlGUL@W6{MzqA>PDLdpI5UAtU3AxB$6V|eQ`SYLy5_N;;gtqPb0 zM}8$mSx$~4h+Q~$!~IU;cNYQnsP{g*p`1(>5#eKng|5Fc(yhJkpV&+7wQQJQ@#rPx z%&B+gtT~z!YV~hepJ52)fE?cs72`GPvFgOi<&k3BlQle6n2|UynX$+GFeXeLkQF(9 zd;sZd6}d4a?ZKlWz*{!LukuYtjvLOs>l)wuL&9e}tj!&lB@yST&B082zikL>cc}be z7I_4spv^>xBtjn_;c06x*mLeKEIi8vXjbWY@$&;-euaxNuXn!yc$A%5*?>L$)@tsK z&U@;_d5kScOknM&dh>YUGmjqSlWCiT@6!&ewNBFAK4)A!0J5yL_8W|nbQ(*yA$;zT z3&~|+sOai(9zxgKGp+013XiZJsFNMsUQog9|1qSADo#mYkYPO1Xv8L|do@a;*IVG9 z{u+EWfL^;f;MR*douPOFrRxd^qK(ynQOOhijm<8-O;uEL8R7y6+x_59NpGN!{q}Gi zkLQtGGS<7Tb~~Zg$N-<)H7|Fn5t!e&e$Y>P)=yiKMZzl}%Ge3Y8hQ2X9a9j+OOM`E zd;id&Or+%oO)5{6#2I<>21O(XB#^^?kv-h8BPa(<^ifVhF^ZS&k|U1wa=Lis87TYt zg)}kRRrO+saYDZ}(XwKEuXa*2tAZGOhi^(8nbY&SAoix_=JRKR;qM{P&Zs-fdwV)c zP#@m{5CcJ0>uKvx@6{hcHk02ofZZFF=*|>ZA7NWLXX;}7$nKA2z=pp7--}C34BJVH z9Qt_NgIycMtl`OfWf=xMYOfe;)>W7LO!LVPSrB83U}rZLHVZyt0T*f^QJ+xGcGV%N zLLh8neF)I%8ovGXk8w<|?(kAa*`l15lgp=Gs6)ITPO9^}Xl;4yiEYh?r#fCI#b>Hj z-*(b{=}ZjG9o~HBX>Je3BGF#K@&?d%38?S<+bjF%9}nu^WjK#HqY6#U0Q0DHqi@M+ zs2t$jBpVBl+`bkZF{gC4UmNDiyCM99=OQ+ET^*AYx$VWietz!4^v0&9tm?~z;|HKA zix!lKDWCyk3~e24^|g{IVIYs#t3mTNu(Ja}c=XD%Z3;BJKSxuLE&i~N9Q|kwtB4C{ zGzXdsKEsG)#$(f@cO?~horjy&!k@-z9?xR@3Q;8`-f9&J29RwODO$4JvRLJjY=;t zMxm=yP`_k)()F8YASV2%tyNiRlfM|@GCU+`KD_a6`9pj6x0x(8#qq4e#QO#r(ZFXb z7R#lq7t5xEP$$HBG;}ttcLDn%mMw(wTOC$gTWUr2V>_(g9N#p2Tc~(J*(C(53&R_! z2;4b1-l^Gh<3P8@4kYVQJgKE613a!;fng$w(-~tB-FNJe^<$HMUNO+w^Z<_+H%*$5 zrj5Eb3CbxbaEV{kTzK~Mb%|43j4o!rkm0LsS>7sKpebOKl zhOSjNVAD_Kma-tp#GFVZ$pyr9QZ0Mn{evlcA(O63PG|cODEx$~mQY?GfnUx*rYV24 zB38h%(#`2543=vuNJ-~yRS`=5F>?WgWG{-Z`YFavfeJVv9Nq+wtqv59?|8>Zjs0X0 ze%dmCv{97p9Qn;D0C|2fE|ld~zZ(T29L|iyOZ(#mE zQW21e478k*hX)wi5TA;Rj|a${q-x2xipB^40pg8Jhu1mJ)}e?aKs+%AJZP@GL#>_l zw2`zE5NbWjpICzvy>i4*U<&2M~oESilrB>>%)h% z={6h;R!Kh((~^>e2gihf5-U&tvqIh(VB&Jb5E1TfXUno^~>SQi;z zb1yIQrvXNR2jWQ~t?<2gBML<>bUe(ALfJ>VNr<7?3S%U0F!HA*u2M=I`*RNn3g)Oi zWnKbf8;Qem>q9%lqHRxzi9dXQd__bg{m^4*V4qJgJY3>JwtcfFZj*SL#@H+h=Y4r* zh{!d9J6?RgLN8>90)8R$n;-(oe@C;hDdtu~0+4LP;BO^0vAR>>MkdBSp>Tt>9N_e^ zq?V5*K3Q@gwl!;kQ_p4ogQEXuhQ2HNfDps>Y+Fo!vug*3BRV=duShc=)ma=c)VO}S zK&$9&kTQlC3weuxCARU$!_~8oc5?{!I|H2%26~ScYmU(-%Cn$moTFq@46vtAzz79_ zPRfF&)ZX@2b(B#2TFUjRt=Ddu~AaZ9Wyfn=u^K}vgty9`G?d~g*%K2 zo+w4OZw9tJI|TKaSP(3W)=^OF3F2c@=&=EkDIcgN!a!05Oridoy4}s)-9B55fO+YX zGCi-FOot>ws|8~`V^2H(+_N8YJWoxvo0RE(0JP}gH=1=px*#MgXC+iUEN51Q1NNDx|RYLLh^~V zEQB`osn*b=9-nol^b%4XLG~@PP&~xm%%mU!p%Ui}n@~fm1MHroTi* zE?)pgKA0Sz)S{IgixONe4lnz%CkpW4GsOa$-zjwQ zE(FLVGp=7f!i9^#5I1~5spBkIqC${enl)iTTBqVqx!;>|k+B_cy2LxseW81(r)_Zp z!jZ;UQuu*mv4jE5#ZiPMlqqeqgfsl9UAQ64K?Vg(5N02ks6hqGd7*JUlK6wbWC$yT z%hQFnix*R;=#MT%$0!^=3V9kFskFZuG8zaT?im|P@p=$wTVKienPF#?GMIo(lGcOc zNEIOZ2PZ##2vig*jvR%=pgu#~xaHd`_iu}cXCvOEzvD?`)?eBY5~Hf!?b|Nv84BVH zip7x(wtpd@yF9lLn54reL~WaXcL<=zC3CZ{ z{&e`t_5VMh1OHHdiL8FwaPe73eceZPySn^=MwyV34sil}HM1b#uPvw6B68f@GNvog zYAiq=~Vm~v^E*fGtiJNp5b-(&z+dfjA6Dt6^jnM3| zY-XS0T3S?o4cH(ecx`&}&66KXoNlbH-NpVbG3^&gO^p5o0Zcv?^Nga~-Uc5C1xxSa zo>y#&+BxL}GIb!n+YleIH_nLbW=2TET&C}qpXwnx)dG=75)s0<12tL;++eS;mVmgp zIEN_hDx*6QHSNzM;svU5uk1HgW(MffsmK`K+NYSi`49IkP7n3*CMi2byt-^@4^75- z>3vh(1x)7B<;yycDY{N=>e`^*FsMv4S+M2LRQ)#=4gY6#3R1mo%&;3Qz&1uOA?exN zq!ZdBmu>k{k_tzj*2)!tQmzvXys-lK!1efPKpGIi?Ck(zv4^Y{kG6~m+GU?-unOm5 zWg(c%K#!G zC%tsv^4?A!Q1Og(ciM0Kw|)=2hnC}V?zV6FETwNXY07A`D0jx8>o_X-S?CMkq%r?W zm)yhc5ZN8CF# z8LW)jcK;@l2dfV;LOYcpYad`WyVUdRTDhqK3wj$&6L~=>07i0Zlitn?5)Lf ze@H>QP@iO$4$!qW2Rj=z$s>i|byH7`D6@*7oJ;i>8ZTJ-Nh5`)H5?2l@(Jc>mF65) zbD0j$b=v9%cCc=#jdFPQ%zZ!DowCYC^hvvpOb*E|V0vDTHVr&hZg+ulf)vvbLV-QV zYq;Z0rjHbq6fFYvy#(aTd*@DVhD66``F|8Fr$#*Fo<#IbSKe{o&b`t`WsDeXLxx{$ zdm6~O8_;)~06V3|4Wk8GTOLNoNeIJ+3?k8pFT#%f%@xAQqBPh1N%Oa)dJW9H)BwY! z!2ctZho)pPL~*!x{*m|sf!+}K`(tqr2?2kbW%pbn^#z z(5s}ZcPA0!_8Q)7?JmyuQRWQI#1sDPj=1&R?jp#d)VR|7Uo6Kydb62w8GlG*E* z@#uXV9C(`2+z$$#zLh?!sVEXUiF1+6Ur?gc@bt~wNxGHmlL;gi_!kQYY3)q*+Wa7= zFr|iNR#TJbYBZhiknSz5sayAdOyXjDuVX?Gm;CqKFNzxz*X4>LE6vXTS~)W&7$W%9 zIOnD(4*qcE$XVmq;O~3VBLzc|dQG(6-UIMO8;MK%5RqdU^j8$PQ)} z7jrj!`v~}4^9pMZj~S_Z3eDi~D@ds>J&^Xno5T|8qI#nly|KxqinL~{YXEgiizGfgDs5wg8YzRusPTwm!y(xEvZxy|qA^@2_N9-N(7 z`?qSxCk^`aluH24@dy4#G>?D`XwS~Q`2d#JCSE5eT+$KGgQf}<}_2YIp zc9yY<6wMgh>vc`r`TZLCE=Xdj%P_4I@1A^B@8ZRa)K++1c1}Y|OzgjhxZ3Dpel~db zW5?#FDFUU(b2qeIsNN1fpW9}BQ?hHft>`RE@_bT>32rx z@@P&x{ab8iBestXPBYnJ&kM%US0!ym^8${j<&KKbp5J+LS~T!yPl>c&CD@wSvNT=j zP&SmE1tggNN_~^0YvS@p3^BQCjLVU|GfDSky|~}>!mI8`{Ta|*O7-UW_XHOs;gOrc z9qeQsP%z=jGm)Y^S8p|En%3Ae8NazN3jQo~sqslZ!>7wjJoLpRn91vx_7oO{mn}QMpsRqAQL3%_d&_D9ghl;bGE$Rn~ zC#uGyO=rsQ<5<=&<{V-0??bOk z(hv2)d6w8QM_E+<$!>h)GIY8uOx2EW3inJn73{R#v^>%NrN7lz%QmnXS zO$o$9FUFB)jo4!j`CfgoY{O*5_EVAO`T27_>Bo<0r#m5o)^fi1b;WjhRXI|!rLly) z^@A^42NUj$mD4CSKl!a4h<@0|=AQ6+8XkrgcpHQqO9vjSD%XODWu7W z-RP(rqqdD+ofN{HJGUeR_tx-`=5?8d#GKDD;Cn;anqc(lh;axTi;8PCQT zsIouW?X`fWr4T;Q`_YbT3JxcwK=H!EV`ZdzL!$w0weD#ogv^W6PHnJ0IZgfYL64-HSH;7@ zf&FwR+ONa*JNrg%Bpu(L5;6FyFP>Tn7Bz32xHT>7xKt=|7zUxaoHE&+>T2t&7I=5G ze0px$VeRFM`!k0n3F5;MIv2wi`?l(0%L$uklj{k>%zDVao7ED8ccMOhs7Ig22N~x@ z(8)hz!Tf%vU5mD_JAGG>E+(eaH}Gxe?xRJ;jYP{ppGw~i5C4Jnb9&#^Kxr)7a*F2g zzSie}*=zl^HN*B~2GCW}cRt^w&52sE(UTI9gWl>Pk@Wq=_6n+TIo>oSzyVXTMpjyq ziG!XWip0Mv(@yIVgs+U2udSK%<8bqL4!zBBQYs#OkR3gvrV0z17imch-#fKq>CS5A zjDw3;sswb`rai`3$&b}GcrH}&+5(O9Mg&Yu#!tLo5QV@eg9G}jr~}12eHhD=5W%uC zNl`#=TYi6G1i%K?Ctu3a4>BqY**f}B$qDdLi^2Q1scp%+gw#C$ioxq@_6r#{U?x$n zIdD!P>G{Lde4m~;Z&HvZDOK1@+3&*CrNsMR*&(TQ-5~J`@~GY4oI*ymr15s=p^7OO%M6Z9D7#t9^8Lb@4{qS?UB1>)fn? z@ju3OjMVLwWKuBBKM!5APM2H=8Kx^Y&@xj7M3easEc0 zsg5L4i+-S+sxbSTNukXe{ghDHUej#>9USa%en+D7o$wT&^==ct4ewF>?(?0|7d80c z>wb{cE$7b$Ha_9-#dh{L7COEg1XE*r+n;&cS2k(=y6%}$7q@n8#E*bxRXzoE^p_V! zyKd=+NmGWxh515LC}UspdavbI?Pn|z3cb(82>lkdSndaYFuh5Tb>4XL+UbtDN1J#* z?UBl-$rt6Fw?C3+y*IXoXKApOw%W~`$4Jp7!r`xu*?(6KbU5CZla#$_wo#lI!fxjJ zZjs0cO+-T`;xQM_Q5jYA;ehp~@%H5E!%gi<(=9dZTlGn<1y$dp$P7!w_^d{oh4`7n zO+{RMC*p!jXX=_#2egJ?D>FiF=YCg^LSbm?RzZQgB(BNN;%^&Me)Ja+?b<)jwx%ze;G~ zcX?1xw#;5QqYWRsI5J7hl#+ZmW&wJ$1Q@K?LSU$sOzlg^tj5WCss++EVGe0Us@SkP z&CdTGg_LO{p;lqzO<=jZmaH8wH26!<^h@qE@HD=(u zsb)ddiknxWMz7H_IndQhKT*qkiz{&14z&;RmIayOzm=Z$UXcnaS8lpAH*OiWJ7%zS ztBBb5vno{ny6c>yzOkVDeLdJ5$A7*qJ~_j|ociOZoN34b-`j@fI6pi1!{Mi7Bl_SR z|F7@2AQ4Nz(eAjoz;^Xxv6r;i zv3v^e*xd^~=>%ok1{^8uRIYUF37Ho5?R!S)j~e&Zz{tC%j~{Y7hYZh|4{#i}jyBg8 zf+6i^Act(Wp>EFGqxr!NJFf||y^(lkXf$)~Y*^OzcA1ZhWBMe9m~mqUeBOX5jO8Ll;g%RzLHZN)dVj@!c71nI+@ZOY5)y zDcg6})ezj#NU-p`z{8li`jFZFF1TNo^l~h;w_A?W+`LzuaLs)OWW}_mj#5yjmq*01L z_v6f_k=Xb{_N_=*ZuI6>E2+q3K6hr5A>(NM!$)bE;<=^sw)bW=%?ae3dZ!YB(7wLe zR14t@EoHE@pwZzxmC>X+!Gex^VZ-b~HAr-x`#9(q=rSiwN|i=m^=x}Z5YN9&4Ueyq zjQUWO_dr_JZrG{mT~5wMk8fwwPa^uD>1LL0gN;j36A6|BMMn%7h_Zjz*)ps3vl+ch zq;!L%~()dbO-4mSm?#7N3)RAE-CNOroFo|PNX z4~+BTLn615#Jh)lNgVgD6K6`dUfEoX*z8Vj=#&EMaS;IU;^N}AbOKr&q;zy)-K+@I z$Fx@;>jD0hO_aXHWfAo09WD)~NscmT^cTK8~DmJ)!8dB0DV z_Q}5GYCu9~eJAa^gGbB=zTlMmFqea_+NGC~Pq@S;oj;KxA1mRG`&+-K;DpFJeJ%X->jg5}$j z{Al_XI!G3V8!z8LQi1Bcy;HV&FerPFmh@AI-9V=eOE+u8N$| zBTb@2^V`_<^;tqzu8XMcsywXzU_SVCZHRc62D)&no6>yWCZ(nV&@bu`o(kL4wfxK( zL7B9LR`~JJcHnx_O~+03?}deM=FTuey{e`k^D7&%cb6F*9-lr-tsAwB?2YCmHM7tI z4OmyJbc$|SD+DgM(5~N8@p+$1WX$GzLcx*y>t}kTUF(7x-{JaU!=}dJ@q8D+KWdg# zY(9#T*vH1X#Ks9{A{#a%7DH?K(VpGIe!PWFM9U^TJi~uAF)p*Ulf@|W^n75Mq)wzq zJ=jl+l{H+${K1>tomHPC?CkDMqO4qFE;L+5cewUl5x;)@`nYA1U_$(}sir2I4{m|V zjm%3^OR1aVun$b7a}KZ3JoVtkp=ezKOzTK#?A#hdk=Q>bbk_-z!gZCJlHbniE2Awr zC2tZEB3;7lQ%ogks4Kl5Y5TDoS=iZADTyE(3=fNl(D|8k;xMfjmk}37q2j8xGYnsl zZLC&T+v)H6SUBEhKpkNh3LdubQ>*su)o)_ogta_shyV1uT*d9RN0XbiN@UzuUYmRcu?2+!M> zO}w}`zS?h@x8csekXy0%48K{04-F1}_3D-POj<0Uc6rWA*%%!)g$HUvRN8rea!e|z z?m5Br7iH#LQ*ja3_-y;A>(*gS5;+gQ-^;9*-zmqa^?T32fQkQVmSuPosJJ2>251^7 zaw@!RHZyDdm8o-xzW+EUDHO(1Lc4o04ZB3n%*;4AI)EcU|o zH<)&InSrGu>B69fxQV52@_M?&0YI{(eBmAUg2`T~Iqj^H;N_rgU6VG(PP4)h=~?h< z-aRIZA3JJ7J(Qp|G8tx=B+SXlnSTqed-^&tvCRN7b6CaSFhVgXG~ufJ2-j0K z3^X?93l%rxN^ri8)b$j)k6GaQPw+PcNwrjz&^m5Qop25|5bqVrNeZHPO(l8REzM{n zTE$0R~Tee9BbiwRBNLs&SoqGQ!SOUR2oq!F z=5{i0p+C^6mcmO~TMW0{EV68!AP4e+4!FX~dTilx>kATzL@A-K;bk^9=I8HG=ise8 zeid;{j1v)81$u_p4jep~(b_2tdUHX$D>93@rDYU!Z8Zp{1QE-K_|q2NKb}zP(9}BS z_TX%g{vL55<-tS88tpz7ZxD}XK`1^OUtcw?)eQY!Xq2Hom9xRQa+&HGV*S zcPBN-2D;v`!BQGz8-ccOJazE-IY58^DzpLSAG_SmXYKE=L8C;{y<1$7K5+x zA0}ES2doWJl+hoTgD z3x7WXX~XT1N#Lf-bi`t*KX=m#!G|PFC&1Z1?m+`Zj{VO9VF+`)Y~c6Y-9XNHh-O|1 zaLwX-3KpQ*T?J04v9WQy2~BgoKK04IQ;3Y(0eS067b9l->+6+|2FGIT^u;=ho#9bF zmc0VOr{C`D)L6chOTZ6y0);p=L*wNP?tfcCfRHx zaC1S?bc^ilCtb}Q-((kmQ(bUkoV9srWY34J*lC=m$E-i&(DXYY-FUUk>}pN zeS5BHZDpk%zv&0(ar7{lJTEBVo@k4c2jUB)eZALrj%a3I!hl}hhLX7@A%$4!8pUro zoW<&Db`!ROSgj5gBQpYJb-U$ji>0ovE_fFWjA(TL><*k$bBFWqPDMrx5MfK~PZ>>u z5$`GTpCw+?;8rpJo#9Ow>g(&9dG;FWCDrvBTMCYjj_M^bLfVDj{lEZ{SrcVYpAg;1 z*Vp&e#(60FM0=o{e<5BNdK1T&zrC|Ppiklt+&CU&X}6y+LCYWjq`(fdn=q9i>@vH_ z2q|0?-v*ZZzQ5Bi)4PFC_9YM@um`e?a_)Zh16|o_fitmz8HiDKT?)r-+t&=B|CgwY zB8N3KHA!)u{vVDKx4@6aSr5qS+}*}LeAzvw%fJRfQyp}4BMHBrbc83AEua%XCl=ls z#*TK8cR6Nr;yi)8Vpc2Cy`t+l}PXXr@-dTR5#0uUU{x<)|#9&{JDWT>eBgb<( z#cQn)i7TXyxjf^o!EpE_=!Y{l_w4;MZ`7klk5okr$g7oSFd0O^88n;vnTuJ$Fg!m} zCZAiiHWW|42VpcouShr!hqKccmtP(mA7n5S2Ppq0Efub5~DTH6|@EQ-bq>i6M3znK3Z{!7l zi#Q=?toef*P7>gij>;ft0Q%jS#9mR0GRZA2E~bo3Y4OTd{yI(VbJ;TL#rE(NAc}Vm zej^9qKJPea)=%`Kp&)HR)#2RVF@+Jc47;`~_SeG{cDm>y=;^1-8e{n)(KPRQkcoj> zoV?3CV(TR%ZWsN5l}1`_q*>l{Th)M|EBp*rftk)t}LEYY`& z_+b1xu2K-lvl##FdOvtI7ZP#&yMGVSZJPzyQ5ny>ySo8~fp!GsW$-9LBd9N!0$$67 zw0S@vIQ08lMMT^RZ5V077G@nl&O09jaF}1&xy_TB@cMNy=o>fQDg)m`6OrJ+lhe1l z`{AX1^u@~M4lt$cjY8z2W?|H)j-~zdjt+M47v}Ttu3}>+ZgJ$w^}k$tsK_z3q{K^A z7`*lkVFW;MMfxOx@Y;>TRVPMn4=n;X*6$dFT-hwSEodOW7U=xd<_=^jFdJ2;_GIm2 z|J8BvuPHWzC4BDs>bm#_`MmF>NI^CM`G^nj1;6UfBo_d{<)e=yt&f9vUq z-lQliDjKeOA}1^X$>hID1c*Waj{H6TVc@7Bq}>h_+dd!E`~Na<`1V?cLA+*&#&Ef(qX6jo(8L-a=dl5=Ss4;Dj57?74qs3gJ;=cUD(`@~ zr-FCPW;eqlBbx>W2FfhS+b@`T^`hk!cPb*i@vdu@(ThfC&_*j`ER4cOUpAIP5et2d cwRdryiR7(5?a#FR4?6xhclm7YX{$f~KWs(tPXGV_ delta 17320 zcma)kc_38n+y5DoqCyJUhEytBvajQ5Q>j$4Wf>u4Uqgd4)l-qRJSAl*l4Q$H)(WF+ z$rgi=v2WAZW-w-c_o3(gexL9A{(kSzA2D;zx$pbB?`!#7pX)k(|A=b&h>8h8X+46q zoqTWgma3{R~p6JtGc{-V#K>X~S9OWTh{>(KV^4|8$hBM})4Y!o3 zzVYq`38Uxy_L}LL-p{MLi_47bh3L+ZVz+@?G+J;HP43F!Cubq#=Zy1>rA^2m_!Yi_ zk7g^Jv3RySa97v#R;crQRAk-sf^R`Os>XX4S6kjqw_RNK99qHcEqst<>IJmM&S+LU zEUaI}T5~Yuz|Vi{>=s0?evh;Lyx6UVI}Aa*e8tdlhe`&#h8;rd?MT!PIFhttn(VTq z3_*jUDBh#aK`f?&Aqvm!J6Cf$;aNaIPdiu&9LftxmLGoN&;+_(E9( zdUxYcvqsu?76di$THqx!9UMvX(f1CVXUAWEhKmt^P~dxHH3R+xfvvm}Z~>Q3RNE|> z3(~v41s`KvrOgI*NJRoVcFK6v6;;eBB=Ol5wHcE5yh*R&U6~9t=B~glq4i&1y)83D zZI<|KnTq;-OP~z<NkHg1vroLJ@+#9b}WR|7$lMT2^GqZ;$#3LG}-zE#@lHkN^-+ zq8uLWXMeAO?8H4}`eKOv@9CR~Y_brWeRrQ-AyFNIVkE&pofXhq@ZD3n8Zgc?Xv>}v zNeM_}NO(I0?KuD)Gih$Aq9tcTn;Lioy^sw6f_~M3P;+*(vAv5J2+BVJZGuY8=Ed2* z|78wAHFq|_dJS*CCdk$Jn8rad`+d-CDG(bJBL?Pr0w!7hDYPAI%vP{6HVM6uA8gw; zK3xJMfE(@Oh~TJVt|20(L+r!PaLB{RLZ3ieV$g^%>lfFD%Bv9=TrTkjl8&yQT0sG2 zjeQN~kth(*KEaI#0{sbX(fG-ngZ31EQ@jcmDj@~-{OvLi>Jo%H>he*p=KM2G2$I!< z{>*w_&LM=KzUs;Gk_`5y2RW{0Eb2!>Amn*13wcxqJbKsy4@7@uSID*n(mMsV_tLxx z#1>=q@9To0vQf<)5M(Y1wy%e6TZ{+?cnWGbg6PPsfXy0@#Aks%Bn(^lt=aGB+vr+3u6jpAqkx zT2ygdkZc^Xx!Z3BIUT&enbVGRm#03yWZ*f*=FQGroh47p!1>m?cbyi(x|n?MRE1~V zW{Glb4k5@1KVg(UR8+l^DRelF{A<2dfvnI}-_#WUp*4J(A99gQ9VGz`oQDQKjl+;$ zwrGE)*8RqjA0>AB=gyx~#%T`6Ao}Xh{T>{tIk)`xoYE)kkmt_>1OmC!BS`B0*Aew% z9PKeV+%zY0A~oH1=?9FZn#TK`d|U$b=90TOPmD(t8LC-+7h5eSdAP0(W?7ySFBpki zMl4DLE2>kpRpRqife)NEkz1*d^id@Eqc5il5ckr@N!_qF%b6v=9~g+6VS7 z#)?~a(~qrc&=FEbTU)>gbJZ@u^9VSvT;0+%Ua@Ys(45=MgVqJQT--C70ctXkInYPg zT!nI|<|$D1u44oz6fYD&m~J{J8Z`GsNL)06Jz7WLNqqb}vW41TDazjj(}=|dLbgB_E#mXUWV2$C`}4TT^Z~;<{MI~c9yu38c^4p zX1Xd@yYZaK^3ZSdIYxOFpRhj9=MitwpvjE=)x;vV*@xeYnFssx_g^(B!gkm7Ue7J2QLuAXOfg-Mt4{V|4p>ptw z?=-y7hKO^#Rl8uAUYyCr1Hm*{u;XjkO>E$hZ$gx6u;B;mM84?5jtfm^Bt znj5QdMDR+tzpXgir@hE&268%c@B)J_J!{7y0lmIHSsNCx`09aesb!RuLRIN7eW|hg zM7JK+ci{aYuDY(xO-Hmh{dp2mlliFj6|~+>Io}B2q9tgtsYmu3QIhbx@v`R-b1&d9 z170oOT)Gd6F^wfe69#f&9iXNGF0D!X34*y-1=HNt+5*?=4;B_F+uRTT#xet^w?_q@ zdd7yRtsAO%Y%}DY7W?NuDfqhI{Dm{S^ac=t49y{lN|fnEG~FEq+U?Zl0j7|k3j^u4Z#;7cz`I7&6zC2)w7F?EK#Q{R6}?G+=S zBnl1}6nOp0NVf&5wS%#UC4ivXNzIJV(^PsNr0awydAy>m4T(${3 z^rR<^69sMei#>#vfFD1g*t@eed|EdTPG{hO$XwKc%;}aAlmx#+db-_kn6&L%%c#2~ z=FKakx}IK9T?0AeK=oTJN=~@==lxNT^{7niabonZ9fWz05!y z)T@slf8bbaUe3OSD}%*P$17f`eJEbkUmbA~sH%kZ#Wm1BkqFS)mw7pi!91CV40crB0M~D)z`GEOyl9hLm1#9x)_JxxZqs?vKI|uN4x_S~kCtUw5K&%cZ1BzFI zI4YK&=*_N|DvB0t{j|=5P_T> zyo0o@*Xq@fZM7@+SJ0>m80iILN4M~}MI6Jqusb~CGlBAf9n5_au)&{`*~LXU9|HDd zFa^LXbp~S|aYdOt7*VD43&vuk{0};3OBPSwc&X5Pt6W&QF(OZtE#@SMK!0%etDR-C zH>d+ezR2%5a7$)M_m^JmHhB?qdlL=xx?X&{Lt`01DDSk(UJ9m=S>Tep#0TF) zJn3H%$j+zS+wmR5IQtj4S*RvZD^~NM1nmDhkYT!Rq$wQih@-6ud_S@odV2k)!+{;T z%l6xNcGTY{h=+e|ItTPs1-P>{)c zekm!%AW9|mYcQ?ui`u|j-O?i7MD%PV;+?GXx}2-IM|}VE2V$Q*1=cehO;(1Ql$12~ zaEjw(f$^%-JB$o+PP-8Mb_46Z^x?WeVV1MUH(CB6-#<4tD+ltG;A|)k)N;=n-E1== z41AfmQOaOS?>!$wTg1Z(^r&u*(Yp63fymT&%KrY-xny0jRdlfOeNImDH>FltjVd=6 ze_upNUa0CDq-$T|UqOfe@({9*0gw#Rv#uy|Gz1D2>ntSN@^R#ba0Pjdsy-u)_1> zxYlZM7K4Vi{8fZu4zNQ*^Xa~HtDf-sIH-<@BnpNLA z#gVWEoOYp`b>~a-98Vb#Z04mP>(^=n0a80e)xS;Oh6ZhRlxF z*($2K_nG-^y_I%3?DGR2!tk*DiHgeXf|3%oUScL@ASftEyMDk=;a*Zw()esnNcEo? z85u%iVmc)pH!_yRK+fU7&&+=;!#%)$5w)p7nbwDrkc?g9-3OaLZs!B~+jTn6EJ6x6 z_{q*pK`|voMLz$5K*xxPh!ZDjdy8D`##$1+8s$o^to8Vlg8hSLeUi0kt^WOfra?;u z$=NIZH)ncx6H7cWf~?t6a@3DJJN?dOEAKD+$3{>2An0yK+1L(ft9tP8>591;c13M< zA@b^yG1?Li9WT9k{IAU`spQ_pOHM_-xf7#uqF%>75jWKc_mp~(^M^?MhT435kzue$ z<)X<6Sq0|#bLVP*etwY2v=o+J6d|zhyD`9~mpO@QcmO;Cf(6zg2)x#HMU^jjN%zJ9xA0pivnwx$i;7a&mkn?Kbpv`{&TYg`9c--)Haeo zw!)iI>1CVIZ%70=D-=mT;pG*5xx!DOjoj)>MEL7gFP(_d&~nBMQU1R zB}(b_Xy2w7SKv?lVhHpSpRpGDur#JDAzGh3fa{3fj%F>=%}?9)eEt!h5-AVE5B(!N z756GovLJgtHk-&16{egDM%eY0TulfMyFIawypW~j4hcK1bYuj~H>0p0s zt}?gW4P6ivpFw6)v9YmylFUmYPwvg4kR+3sAgA`^>oI~iq>lNwKqX}B6LEeo1cMZG`OOC)AiB`wnZY5o3$A3w}G6_sO<^tBZLvh(pAkcOA7{l3_vJR_QFFYk0UgZI8e?HR!;41`dV1tP0vR*MiI_h*(-~6Y8urw_UJn zlbN(^q4^4a9%z9FY(l<1l$BahSDln3PQ({{LY6>X+lKd#*A3QO!mKzU!TXhClDT&f zv1@j`w@WZl%`NKb1#D*qA672#LF(DWVL4{MU$>Q4s}5}oeox+@Vy~b9{@e?=)y=UF zl4;9}!$$oC*le{Zx2|I+DVHlT`_hL%10~=LQi5Il?>e0RKAJ7$r;E5N%?3Nh>a-(9 zgx2TNdKn#g%6!luHH`(Ck7eK>naF^`iBbK<4{? z9WTudg>T>`on7tHh9+Xzap!0RYyj`ktD5WlP1gLzr~>4>J{@8`@nxJhGFec5>sGaz zhwE`;Ps77eNeS6wP}UyXk+N=HYhEE+a4GBU=ddx5-L0v@&U zOvcG_O8EQ}vM)U*%p!OlIVGSeU9+}#9kw>6v+{(1W_~CyU)RhMm+l-8*0MG4kLIxp zNpOm0qP*=GMcuaa0h}FWjYh~wtKw8FDmpQ?y%HpAm|g`eKZo>~eY{)^*b`U0c5U?x zv4nW@`TkkdmKcmrRA)#on|)&}$AP_YkHW;ARj)*RT4Ne3vT`4G+!aB4^rXvH4fcJoF_XUK3gs}Vrp_fc~KtcP{B=Pq23C&ym$2b_wk zqcD`fNpQwDJ<|<5YK^1+{F`e4@FrO2(z-^vKYY3a8~X)TR72VGMY;MtE}{Dq#QbZ& zeY+STyI3eAY&%e_Xey4%Zv_bZjn)U8KjPCTqr?0BODa$k*6x@e+SgF+1)Ugmn;6h}< zLCxhJoif|usdynW3eX57G-joh6*%!x?%sH*`*Gjx3;JNg`}mzCgFgSf4LKPX6uM; zPdH@%S8f!t!;;kKtMMgl-~JGlSnc!S9K4e#v?uH*juL4)Tdn|5M14NXx|^U7*@>BF zYPM|ic9@+sEpH5X02U7b9gW&r+&=w`w#x>}_i%@NWjWtE!w%j@cW5t}ZHsF}l4bdW zSDJ7T|1a^~=}7LE^(azAZB+B$@lONTC((7z?_R_VQ4nw;)4{(!A~35n@1Ctep@)^2 z*Z9S|4xG!Xn1@p|s8`P^R*=>B7g{`CMxb|#w&d!)1plOlnJO303I;&l? zo11xeZp3B3ze?z)2Y2;x9+4RZxgS8KRT`Tt@Q!N*uchiysMP|O{hLuJmssxudr|BK zPY#%~i(GEG#UK{Bm_|fJnTQ={4+Jn}wu$sm8e-#%J;%G(UhlHNE#4TToxsvVH!K}@ z^y2-dHPSJVSxQ!$UaJF8{(ndEY-g^%WtpQ+17s8zNB6%OV*e+g$%dolYTgf>kJZ~J zd4O%gVz4pQ2TYWe3Br$Uo)7>Djdc4CVnydOB*RPw_wJ2#72gMMGTF9HYuK!Z8ZUyF zqO$TXkRdhFeLE7_mGziSQ*hKsO#c5uu9#%5;Wf=|sG-DQK470G#mS^7F|8pajXJ6; z7C8t`Z`qOi$m{f@S|Xguw+a;L_Vv^F03fbHrU>g;8?^ zHoeoI=`Oi-fDMe*-6^Qd&%xu){@m@==NRH+UN)O%aPUdtszYc&x0c-wV~-(?BV%SW zAzCqLrP$a!c&r5h{;}121mT*aasm8$C|=ZihgyvDjR7t_K)Vuo}0zL>)a03G);Q8ip|SbxZ$OV-|#tHbd8pE;HXxrTc6 za&%r^>HXj#BUu4{A2iEycSBSlvEK69<_0lPZ?TB2kq}kZ6>PoDIJk?;L%+s9xRS=p z3#{llNOSCR$fVlZ6Qa67rIW2`w@2Mj?k&oYIu9rvjmDM>?}bsqHOKWpjB$9^&%SRX zb&2@$<;y$Fi~4w&r)IQ?9Y6n)^~Zt#AJ)YHuX%XaK*8HucMO>R!{15F0O~3*LJpd$!dK>y{r_z}JrI;1j{3K%KP93t<%uBY|qcE02rwfbup#0O0s_Mn0^ zru1kG;DUgiNZ&a|Hg<3%H>W2@0VS{|l_@!-zj+tsVNT>r11$8^Qk9ccch5_6Hf6J) zm1-#8OOJtM?jU-0GVmCal6RYq*X_{(aBjNkTU?MaDe)@%f*3JCwouatq5ya*yv8z|lMMfHnS&X|zes8uwIR6=oauMa@ z_=J3!+Z&F=ewv0D%Cy@A?!g!Y&H><%T9eE{Zh-Md5AZ#GNW z9&`Lc@wGpmoZTN)LAM2RQYVk|)Gd68H6{pt=uPz{K1FEV;^s_YWdpqLE-s&(<0~P^ zHn$UrFIMSly1Leje!@;Is9rWbyr^f^ecH3w=)-$ePIn|I#0Wg&1s?Pq4u|XPE)ZwU zR;|toSqu%xD7P?h(2B{{nBdtGb};o0omE#PfryRTCk*QijfMm-*c|;GTKrq1x4n1U zh5%v*4z2&jYWydu!SnJB$dOUMQ=Y&Fj@%$%63SG=GMifJKc*)=1o@6NtE(jC=)V&d zzRJK+o~S!{W>XFP;j0B>YGNX9ySmIeYzZVdbHpeo29YBX^$Qpoz>#YkPA`7^r@Jmx zPe;8i*Wk{SgZ6<~^#a7I^4SkEvt?uAC=hlzYDUiizj1^jfNv>2gHZAj+SC(>kNZU= zS$l`$Ts%zIIYJ8<)Nc?1eUrrAlq0m1*Sqlmf(Zsjz{zXVj^rfVtodYWo5ZXLM+~Ia zcK}7strYl78xX-!sxbhPnV|c+b|$JVoa!!SI#mZXGZbDz$|vhIwt{o81c}fdCCAQC zekY(-(R#dn}k1Gt8ineXm`GN}Aow+&+=lgWQG2~9KTsFC3spj6ae zKvn`U{2&<)`9htcOoe?ft{SiKGAi_?A4bKTK@5@9s{+r>K5z_$EwchmowOBsBv!eK zp;)xOKV{v?_2)^wIdA}w_kZ=K_)e|E9UN(B>>XrZ+vl@0eIM8_A3zHH+>*GJlOz=G zp~ECUOGtinbqNSL_sv)V^|v*5Ma6+T1M0T5b1WPJh( z?{bjqLkwdGTbG1Zpw@m44PdTv4lPsAp`oE3tY%LJg*9umm?Ru?(uYzK`{U*dm_}jt z=eI}=1kE?oKVul+iB(Ax+|qOyPtYLyVv=}xY?a)8_(<~nky1||O5^0A8YEn{x3|Xv z>r+uN2G-ZWRda5<6ps_}yBV+|`75e+$4I70wkD<8=-{rDOoJ27_uC0kbyb{b@dnU~pGFwisDggCt|UQr7`?`bT#Vlq6L>F>=5l_@e$^CSG$nIm z>BmGhyzP77vG!!9?*fh1?PXG7as8(1K+wtrlAkRimD8~B@_*(YBFYA4N$|qFT0J*L zNP|+%-UI{848-34=mEVXc=aady={3M>LMZDgZcEDCn9!E^k4b)*u~oe^e?v?C$$bq zs9j#I?CtLtV@)To70?nKue5*vzLPbCWrStN=>DH1u5*WL7Q{aBy6y!fg}=a zt=QKtRXD7%{S?msDa|P#o~ipy1S5WRU@r$ecI}tEk6_Hcn-@Oa%d4txncK-~X^D1y zwwl(K5$FRNRp_1As^A_nJknm$Tu$2j{!Y_cH|FE&41)|aqU}E4-`*&^I$;QF=2Wdr zY67PFd18DRdo)JekO5j+Xso8zT3Yo&+B<5l-|<5xtj{tjGqq=+i9JxImWc_!)%xtM)*!kU(CN^4e zI4xq={@?MFD`dFE+Z3hAbGK|%chkOX&R8$d!H^XTe3;g3sTAPD;nE1hQ^$X>CF}tM zj=xhnV(M&xZ@t=bSTB?1>;h6LYuxZ7dY1>|l=d%wmOEpRMaR6WuP&C$Oj(UZhn`Pn zoz7YtnMxtEPt{_)ZwyaN21%T(3mu~wN zgKRe6&OM=U=x%V}Lo>$s>ecdUk!sdzb@kws39GZ^M^!L_Ee3#cw;N~&rCoFl1I0Lf zBu6Kar0&OT8@uL-8fEM_y_m8OnMkc@8>3&Y3$SJEeD`3Da}IllzxBYdDz^ zYgQeyb|=?-&EM;dVR94_Zl@WYFg7xm6zEv7kjymdq<0q=Y29L?P4y{bn4K;mKkr_u zaE&CL*;f}RWQi|ph0ZMep6ja%W6J4982R((Hsbf41$DLyRr9UNt;4moIA+;V4gLcD z+14ND*t-`Aobn{z<2cgl{^@s(YV|dKYfKu-c4=V&#|m`ToFKvJtYLU1d5DKKY&bCQ zC?_XJC05VLoPlR=X?XpzsaR@|T6e7r3G?_s0I?T-4vbd>`V`WteUdbEru_N7c#Cfy zbDWJjN`v<8O}UsSu#n=~|3L+mPIzCax;+H=wy&q+wa+Y+77>bASK&=X`qe3D4uhNPC1IhQ-JGz)Ni^E<+{qWv{~u*e;J~ZV@Q}(9lLrE%E`D`1P(y z3Fit90b?_o*i(6?8i0l1PjRzG{4^XTdB6`{$> zl@ztdxw=Yx=%D#Dr_3f<9igL5;0)9ot3XSa%PGd)h26k1@11`!6ph8n?cE!4t^EKk z;mcbC1&uxEo}0>7oqf}Z=&BAe66@phUdEBr4J4})`KrJLC(-z%sN}09@++E}&vnxF z!Hk!b6*{Y*G4agpM)sH1ReCf_lQ|I0e0KoD{Tw;>(mMnU$eYfG!7)`lxz=JVN}~b@ z8;u5O2U_pn>(FGLJduSR8#wkp=CX?mdE`Qd0xYwpJ0FnQ`}K8*Xnip0dktR&|D) z?V6vMg1#R6P?eo3muHy#=20*ui8TCL&K&|j86e%*An2gy*%#m6;c3W?ztiplN#Ldz z*QwxRuRLdO)I*V7y_zEEJ?g?Q)Dpu4;UD~%6)*pSbl;ZRt=00kCl6Q<$<=T_!+`qr zz6{xMNn02lJVI3CKT{IUi$?d3?brP<<7D|A*4(?-y^0!8 zSZHEPi@qg1$4oaYsl9zSF}$KnSb-<-!=d-3@y85;7N26H;?%Gre0-$RS(ZS%oEtUl zm50jknyE};d?-&<8SZ1ZNpgH>a^I@j_IOSx#){2GY*>*w(^saXyZpsaevFLj=!$7LFQZp%pRSa%|VhlkLzjAmt7*pHIr!yeS zN~vcdt&$$a#l{)7c>}E+cH=W&yiJhjzN~(i?5UZ|N zchl?q+VlB2@CWa`T(hq^WPfr7qoer6I+J-rM#iJb6y|uY^Gemdvy0?WQWZOE+Ykc!D?VJ)*l@Bsbx^GazbX7leN^D<0f4ZS5Yq2D-0NNt!{^r|GTsQWTUz7fWm&!eqm{8RF@eU9c>yc_R^$l;oQloA)e-lp0l;zWHKk`29%WK6e|=< zR$8q|`1Bp@%YJWhK23%4A-7X5#zzvdtL|0<h94nT3odAFvc1O=e=>f zYHORavc?hjTT$HsvX&FXdpKp&nT@&vt-og&a zfNlZKf2L)qj@m0vjBoMrrG3BWQLVFN;$=?bojz>L^0su_FZn)ycV^c2@K7O{?6Se+ z;4f5muP;YuB}+SWm=BdYDMef`5Wg7eM(S01QihhA_9yKO%G1EAvIr%uRx+R1EL}~ z)AFaH1vABVZCxg7H!8=-bF}1$?6uC+Avmw3mrQ@Q8?Wc5R>`c~PuMm<&rt90x>P`8 z40Krx>05-POg@t%=-W2ZMO1Kxki>Sxo);E|b(!bSchWLmK$NBW7h=>d>ZD<>Ri*O* z-6j916E0JA`Zeb()5%K~QF0oy`Zxj10rmvHk@1VJ;#y{YO?f$s)UlF~0|($Zv%C_~ zT-VaQ;`Cpv(&5tRs=3;e)xc|t126R7>T;W37IRUDcyLceJ4=?&F{TY8Pnq6WxkH** zi%W_y44VG+*a9XHh_)mbgWPkQoWjmBfG;wL5&_|XIZa`hRCJb&-XTq`uBp|-;`GJ+ zB{0+dnYyT&XaMsLi4!^swyC}qW+|i;T`ngcfS`%DRkVlUPuHsh zP^59FS(iDlZp#K>b6J(U_&AZE~sG?snB4eZL^Gbd{Gt(R|F-t;AL1aUz&`!{+_ za{nt8)0>Iidh*C+i?*PkEIDiX$9o>F>?S$0U&83a+_ZXAkF}=!`s%iJLDtMuEXYU~ zrFRfUscI=clfF%bg>@EbMPBdIF>iVwj;TBtpsJA_;e}s;tzwXwMl4EZ7YsSOux{rB zP#+jkUrp7wPEq`Flfq^@l>`?D(l3;>|7K+uZZ7?kd#3P{0Vo!Og8n-6X9K z&UT_!Mbwl5+~Ne4{v@4cRM=`w55A1TFO+d^prIdmQd}I^klUkyUjBxklWTA*z6L>4 zVUdbnpB9e{4l$aNV12UG=g43-$~z@~stdfzirg+8S8_)fGAj!rXXI7XS3A$MJ4GA| zqO7_MElfNu{dwH(62)bw9odcgqofY=Qk9F3%Ht2~m>6EDl|nOCFCFTjX|CQ6Yoixc zuSMtm9Dekn3ZR$Gq+8CX8SJHI_kOH-8%Bsvgu0c8RgTZVmEk=~g@==H*UmRJnQh_e zxB%RM?t)nbWxPtLf@&mKS?RAxTw5l6-`T2LB7fi7e0R5%mUx`I&Tcuu0Mz{Omo6Z( z|F-J5^e&_z7mUDHjYlF8-XNuCv7N%>y zjQ5n|f)#S5V;vS=gl~3UL>EKc4^F7jn>Fs#M|+Z6I}(Q#hktRx-=-&GQ1{N(dA|$K z^PB2Y_Z+M#gIjzUTC3*rWy6mHK)+xnv+q>-R8IL24QA1#_NJtz?YF))kyg3_PiDT* zmU;QAo)k*|Xj5AyEwv*AV>?|lWM|R4SJg_S&Hs395k}B!r1eDMhf!lgJ3BjSXKsj! zIBq)c2dFAC=mboX+UUE?oQD?fW&3rhVTQE|%prwShK7dx4qVM%PSd{H^tDIySs8uu z11SP|klG#|<>qpzw(~_fdBp&}HAKNy@1HGwr`CHl`|4(!K){QZm98xj?QY%D?CtFx zng9in7w#W2dfHRIY^n)gn1!B=(P^`-kBcC6U0v}wtDEMcIxD1PPg;Cy&;e#6ysU6O zVfQy*{!~7X3SO@{r`nFNl2k0twDv>eURA7MTUXoko}4WT)eP^T2?H4WFgIvK#%riH z>^iFwNt+c|a|#3sqlHqd(rsx(*mF!(EJ>ZeT)%$k$Coea8XElBpg?}OxPGCkcXKB6r^V2xB4?hd%e4=H@_fqsxktfcH3pX)m74xff(71tst^>qSxBcm19*f zci_)^f#j$x4GC5YfyO4wM8^{X0RMuxz)uLGXCqdzrB;?l+Fl+a592+#;?EQO?ee1m?q|5Uz zuhVAN)Z&cs(Bfj6LhzwCZ{C2XKpCCt!J4UdTYu`yvg=x6qsibC(1IjM%~fr2TqK!; znL3c>G@$C(8((oS_!S03c~b$aL3&RUDP5#8R}SmI-))1~?Fp2PU3(jy8?u;*SjU?R z8mP50mXle5Mgt;{M5Da@6veWbEf?VYNKk?`V`Sdu23*@yu(%@H54&iU#Wgg{puVZX zKzd!4O&c?4fEhH(T}>F}>R9GnoB|!Dw6wI;!*m|jtNR5g8^BG=tgNA+{9)UYjSU3V zju^T>wb;G?)+Lzr*g!s`?HnW|A`*^f(Fx}hKPTxR@E;l!EBdjnwlc?GUCy}jTqjJM z_`%ObRNYg8>)tW#`6i{ZDA*CxxIfNvXKpp~R;Na1<3xKp8P*~#x0Ge_aPANd#j+N$ zSkLJvrq+7^MFZcOO;+<55LN5*JPugl`%Swg{62sFOufw$^s=Wt^ykl?r9%&8p6hIf z@NaH`;?U3%(IdBKvfAIp#U(sFIYiU_!^E5CEZ6*3***NHPkMNG}>1r@9)q6 z3oxhz3mD0$nb^7Bd7GP_?wAq1sfMe4TAHA?3Qp>I2A>5ymcLv5JSf!tZVWUrgO0RH zgIMsUibcRMH*}yt*?V1K(t%zgZB}WcoHbt;;P7gCc%F0TJD^{ni<%r4G73p(>*^tsE>JeBL>Km3m%_{46JGduwP6 z#+U_Qhn$(q7}l8ARCbB#aHV_YVi&yi>vONzTx?( z_qopPj!+nS{Wd#W4#Y&}Ufq?p=z8FL`Uldht1-+u1r~g?w>KdLf@E4fn4=!`(IE?| z^a9Lk0eul@29jRUR!7IX519yIaAbKA8V*qvCNU!E zoDlD$`0=Mt0zIj~#wTWHb5?G3kx4mL<+i@Qg+M<;LrWQRjbvbN7lNqa*oyIVcERvE zn2z{cV1xcc`Hk|K&6`jVp2iD_NbpcSR+nb3si{Maon2i5$*X;1L-z!&LrE*yq<1S? zZjza%xlzc6hl17tlDf3A*0M1)c(dnG!OZUtD@YyPZRvBKu?n*&ADu+R4(t)4@yU$C1+xG39BNKg~hj4qi!U3T9}PKjZ^n;C+E%9>oieBUS>vkNW{*w zt;$tz;c#*DZQx6&fe-b5$D9!B=4{^{;F}tk1CVcrLm@M}z)0Ajd0mbm&^iTj0B}LV z<#(h(uZs}h4qh97J@o76XT_sO{~;o13qAEG&@Hgy;td-If5xbQokP03H+Ba!CjNUr zH@E>B28_=ClaIzf)}R@%70KBxIWh%6=Tk^(1ip?`GNhND(-W`UQLqHSqsF!08`+_l{lL zlZ;G`*9HRpZgxZNQTV?p=na>pO_volHHAS3$X?*A!B75YP@&`7kZbQhp98g!RnQ^0 zTMFC;Lla;x?8)_!AU^Z+^Lv5!4&Gq|!4*UeU0wroS-H9aLH7WhV+^YzgD(R`H@6-l z^(?O+h`>f0@w;qWV${zJRCHjFhMF-s8t zXUQZwJ)pB2Sxy5QoHbYn{2%WQAdC3>U;%%Nd;}XbwV^C8-%%ID z?8*)TVx!=-+VwK51t9al&u}a-!;PhwZxD;%%XRsV>cYD6>&hRa0ciKqXxyuWF(^TxqqV4#h2DladeoHCDw%Wuv+1b*?I9WpT@B!WH=$o}N)_4wp1 z$o&;Sp5N6d@c#XO`IkCduRX~Cx~yy6)IJX?B}!{H6g2OGzVLNXrP*R-E`fSZ(Z-=; z*=)9l!N@fBk-*wPv;6PfHhK&C`5X-QwgSv33~*gQYx3^!x*woluoE|F3|_DVUJ&ss zCr*Gm{J_9~lZQv{N(ev&imIwNXOnTaZlxg7kU)qQn R#Pzd0bMnH8oMSe3{txUO%1QtL diff --git a/dev/_downloads/464f047ba3ef7f04429a4eb163a6a2de/matrices-18.pdf b/dev/_downloads/464f047ba3ef7f04429a4eb163a6a2de/matrices-18.pdf index 8ce717204337e30a9498f419a63f3bc02e9109c6..36017553f624c25a92543afa5e904481f88adbeb 100644 GIT binary patch delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bI%0jEzjTA5UVDVg>-frV5?_ delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bFR<&5bR#A5UVDVg>-gE()yx diff --git a/dev/_downloads/4c9cbd846f69df68795ea4e2cdf667e9/plotting-33.pdf b/dev/_downloads/4c9cbd846f69df68795ea4e2cdf667e9/plotting-33.pdf index d922624eb2fa1871a50e47e2a3dc8465a258d4e7..b27fc0e57e1161cba41bde8626f26af3407aaabf 100644 GIT binary patch delta 19 acmZ1(wlZvkoCcerv5~2P$z~M|R%QS|CIvA7 delta 19 acmZ1(wlZvkoCceLrLm=v(PkA5R%QS|f(1JO diff --git a/dev/_downloads/4d0c9c96647fc2441757598f44d4936b/beam-20.pdf b/dev/_downloads/4d0c9c96647fc2441757598f44d4936b/beam-20.pdf index f74117cbf7c6ca9819337e0e655da9c3a6f6d8a1..7fe0e4733e05cb7b34f3a6e79f3e5e8547e844d6 100644 GIT binary patch delta 19 acmcaof2DqduQi*Yv5|>^;pSlLMiu~30S49p delta 19 acmcaof2DqduQi*2rLl#f`Q~8jMiu~3h6d*V diff --git a/dev/_downloads/4f8a4d280007c46440ecb7e279e1d3cb/plotting-25.hires.png b/dev/_downloads/4f8a4d280007c46440ecb7e279e1d3cb/plotting-25.hires.png index 8dbe1de4705de183694de51df1e72dfbaa2909e5..829e812eaa8aa98c30491d4957fc357e3178b6bf 100644 GIT binary patch literal 32745 zcmeFZcTknt+CBIpingM5w*fP4OAr*0AVH#S8xC1f5J`$eNs>jPZL2LP=sDzUtAGJf zqGSw+hpb3W3I~v!bNa1K-+Sk)nXjg%=8viRel=Fzi#F%HVecobXFcoLw>8y|uU)-u zHAPWtX(xU^MNup8SN4Kc9Qbjm>5ChF$T%H6>!f98=Hz<8!IVLy_^iUuog|%xM(LT z8k}&#SnAlt+Xp!cS5Lf1*!#;Lzxe)|@X^D&FDBs?bx3@+G`ja(@ALZj15M8hOJ%wg z2EAgkX7C3OKv6+op7t&MMXCKHwG4k#x*Cb45zQ(@NtTOiSRt1kMEuNFj zs-XvV@04{ZrK<>s-IZ+En?0E4-Wlmwp4`5Ss^qM$uC1*N*}060eVo-5?Vh|a)2lIV zA9cvNxOH)1a%`YE`-f9(lqRn>RwD4ZRqYF1_x`l1hsOh)`Wp_8mdo1lX+%d}cz3ho z=62hUccofFKRrC&#g#vGbeDVItNq!1$)?9SsMxKqu)wju$9ONeoy)MD&ke}zj*Cd1 z?u_84Nw#{7HeG4ItM=1c%Ewm|w~=7?6Un<`=r!Hp)bmAPFmKkj-kzc?j;XS7P!=3! zQO-3y%=fo9sHiWalpG&orxNT%^5-0)ul79QDO6UXsL);5UY~7a!$sU()jCFH_2w~A zX*K8eG5FM!={p=g?(X1Vr()|xS8SnTkB#*=N@WjZ^}4orv+f@^yS39LbYM`{y6)v* zuJ`9hG`GoSSMkA|QL|{bPFjSd;jhc6)3RzPf==^`li%ZgB65Y~jVZF2$6OzxuJ794pHB zBCN%lTQgp~unp&aM&4%^%u?y@Y-8&}aFlC{jI*(l7sT;B-g3rEInAOujP;ZDEpZ~QI$=5;WXjbzP-DpA!FN`=Xslk zU9cq{R8}xvYoyq5CCoHfK=cRv`|i^Add^OiVPo^#>eyyoll!T5tqR;;Qx~E=C+hXxI)dDW-mGNs zh?gEXVw>Hc{yd}Q>e}!(8_!cdmxxa;T_ZB?!7hU=C#GqLK`@>t|BX0#;HQad_3-s` z$+Ckv;u*~@db>P^-f-@cliqXOzcf_zqF9xxxamM7mjJr7nxjqL6}{-8@% z;w|}qO`Dr|RqB89;PF2?^8No0|35Tk{eQo4KJ>NQB=+)0Uon=fJAd7&`!lb2x%9<` z47(VlIP+Qq*D@bA_G154l#;l%juHO2tfG8^pXwwTx_!O2GH&Lzg69kiDU``6URwEe z>&>;>gI^eA^U-du+ZirwkR>tI%0?-4R1l(SyivZ_bYDt^L-iS*pvWxZ1Utf(aZ;M^NUGP;kasQ~x52Hl@{3+xc$YW1@Y9}Ss*{t;sn}_f zy}!J4ESKRAke@h9H}MlnKY?eDn|1dP{lfBFEnJhbo{DOep-B-t?cfy_~? zgc;&;^uVB&j*e7Wz|KQX7FkZ+V$I$wDJrexpOii~T49cLt$0LZe8&3gd(V$6Cd{e$ zo*JCJvqkjReTk``*Uz+2)E9-N6zbM~S1S1p$99vxx>uIXS)O zlhpEIqb_}Hw9AhguhA2+%b$1Y>FIH(Hw`gODU;kMyBWES*lO&tJJ^EWqwWg zos5A&1V*mLuBnq`!LBg%^*Z2^tVqt#Z*G~eFdcy6iPPW zZ=gE`*JfuOx(PrKb0B*#8jx*3mRs>1r}!iH$pN)Z>j7F5o+TwEiO4RelvK`OB@F_M z&R<(0X7ceKN7(`38UoyCVou*H;RKHl=POcFhr{XvB-5P^CCj1AGU24CZ4sOBO#iz; z<(HDCFrxDfo)fxaULNnfD%LAZ&DhUQtewp5?V;D3S-l=yNfnGOL5r{N)-!2|)ASZ$sE1dgXu z72b3}@tJnRs{%6ZcT9Q{;}-`*9m`ocqj8HBo*_WYj{&A>^an?7#i@h{uO0C;y0Uxv z9kPBM!-IrV3n4zMro{ML6c-M$TK7aM$OMb1Y zIB)*E%{$ZC2iu-ea}NyNcwyz1?tRl;{8ouU`!iXtie|avbi>?jeA|JTA0ZMr?k1ZmF-mYc)9r%}AGQ|e-EP(XahIFP zyJ+RLl;$&-tCF8{sp!#bV>X7~^7Sr_CWE>8Zmn#5>^@t)8m^A2lFC;?UHADj6^PL>+;Hse~GK8-ErD&#rY#!WhLu9Mw414 zt+qZ4Y_xMSoZ+eLEjac&tJZ!DMI)7>;3;hq!aZfoz$uN6{}NfrxU*I3xt!<1^dp-_5$=pHrEG=GI6a zP3)fNRtKlsI+cLZ8iRm*VGnEgR3$tAD%3jsK`gwSEY+S3sR+oA#Kv>u)tvl|h zZry_;_MV@PGW2XMXRIlugEAV3#j1!@7qU)HV}gx7q#Ni+nG8Yzkws*NTmbyNy_)bp2}EZB~@4 zZ@W~>iFMMkTYQIZM7gS`H>XEhd&usitQw=;`QF{)DtdQ|pW8Dq(t9CfGU>Ik*kn_O z2|E?O67hWKVa}xC=cLwCp#yUrrT{qiRcUd=ZIP>L*d|K(lbZ+*awA(z|3O;Uz2$Z$b6eX7|BI<`r$rB%W{5 z*)MGL{nMW5p?7Ul-)=Fo2b2f$7fWW>%N@`)z8zP#iu$r^AI0YLgn3r2)R&PUoQfBh9m)lyrWZk~q5J|GjFnFc&l}jr%#4xK)r+!`5YMeLiTf!CXb!d8Sv~4Qfiq6nbx6Mx6 zQa(EL&S>-XM7@aAwbU7NtjN9fiu*ZScnVuQN6SJ=}-6dK z-=E%Z^bx8ps;@ZT0BH>x^PoA2dj6tD~BToC!bH2MDF4*?qGvPsf;-~TpFs~9Qa zsx^-gl4<*EB>5x?*y}5~Hr&X+T)2s;yl>MxkIja4CKo7+0fY`sd+%92hr!&!;Xi+1 zI@j_dm!{gqJkPq6TxZZ?`^#Z{H`s!9`_D( zMKYURxiVb8YjSP?R`7#QhQH#EKA|u#Av4*;Qd|_6=;^6^Q1^v9E@;_3?w)Ha>8%Ut z(q3bq9vS5u`&4Rp(dSyd1*ljKRHw0FTjdXBBCbx|JL0>0m*O-nx#k=adC0cAX3A_Q zj?_8VvPLTyvx6GJ29os-CC0BS%_4%Lko&1+O5*liQH7TxzP)4YOH%chPk-$>+s`<< zSwL!gS;Vq?H^(Zx`6?7+IN5GynL_vaFpkS$+Z>5Wyi+%QkJUYaIp(?GHhfHmW)}L!L@n0s=`)pJy%*AXSQpnup$wi|JGD7E zw<_dFpSiLy?YHTVoreOqaZ!Ry7~Nj*7KL9*d4SN`)CQXz`Fo!;b~vg&`DAh7IrV6N zjHh1H-E(O4Ka)n3H)Y=O>_ z$`?4ec`x-uphD3|Req7hV10kcXm%CRK4F)x`-)4DIxvqltNiQc`bCEuMvDt%KkUwT zh4Jg!7doW8;o9i)5;E<3Q-KR{kGOj=a;$~TkSyuNQvPz9+eQPPwI-F;9<`$f*Q z*+`Qktug)Ru=#a&pC?vTeDx-bwkw$(^Z-TSIF1+(hmqDrKK7NtVe6>y5N*I5pQl&G zt64!hbfbmj&^EArg@2aJ%$PiROdn_t@}?Aj4-qaLtZZFW0L8+(z8(=&k6%as+ob6=3$~g+_qc8_$)+*6iY--6&o*p- z`dP8_O2h8cf9;{0N7EY8R9u=wbsfu+H!M@iBu`!SjVphzWK64Lg-QEehD_&P$@p8H zr2++~nej23kDjORaMB#9H!rN6pA?beq5^4fiq`g&3g0RZ*LvPCw@#C(Ay&^bhI6f& zS=i$~r^*8xeNI;c=^+>Z%#|Lp5{>O%nDx`T-rG~GzLHWa5-6aCggDl#E6gP9on4sg zLPnyy4+zL^qN*+qWHRzR{n~HsQl6-LI5lKe;M3MSH_EjylP$IfX~1XEezc5v^7tnA zDC|}VZ6-Rc&&I=R4vK6)v)TTb4lAk(1(qP48Xz+#TpYoV;?0(Fb#jYt2(znuh zCl;;lBJ<;Y+O2hkPOV6hcs(`K@oK-4xQNY087+t0x*tC}^Ncms?iX~8(p&*IJ$I)< zK}BIIR@%_9%=i#Xw1`J`Ff!FrE6|5Zl}o9Jw$5`CGgGzqOev%9bU886EHyoz#HdO1 zD*`^PCggqP#$$H{`3}1bM9#Hw6>iULv=eEmD-*pnvOe~)Rdd!A1(2JpYb$-vv`sea zJm=JRsWZ&Oi02>x5EO=T>L#b89(Dhp@t2V_a) zSROk~Y&OXG!&YY9D`xKG=J>^EH?!mtVbl0!u`=*fW2F-n(M;RyP5aoo!uRRAHn%OK z%B}&-oGyn!xl7H@wiXKL%U|VLvtKjEjXe($DpXRcNz+5V_qnk~z5L|J1eLbX(Aj3|y zcuE0Q8CQdo-86epE%cuC>jxw2eQstHEJF>-zvnpL{0#5I>vN_422!KYEo2F@HMFTO0 z^03c|8gd5XS=o1ID?{Ji#@=IYn7Mi%Ptgv>++5e=56fb2Txvc9n`FIirFhW0ZHjT=lX_9bHl`C%#qg^_HIAC&0 z3IpD&F#CKet3Tb8e;M|9q_~i0Hb`6W=AUxYCJv>dg~hIv1t*?LIpYmSVYIhMUg+}- z!&l2LcRwxxQE)fjvCG)XuOnC`y-Cb%Ak$=`-cR6d{Dq*djodIXTOnrs#;oTtd?`%7R{~9hEPq9~;2Es57tkXUNMCrc744%7P#In-=uI;i8_apqbc4^%@~F39{;^9Idk0_ z#fsFFLQ3hWz8~t6j7Gj*Kgx!m^-mBW5JY27-rW{tolF~t+vBLpMbq$_nt?kfPR>DKNfvb?DDEC3Z?uLVw7n^0MxnIO9B1sw=^yW_~ z3w9caY;x8Sv(>L>QWooSHnGRP(RVW)Ve%L5I{NS!FMMx@%UL{i?4hd@`+f6aN|MbI zGIK*F_mBEk{i$>A35@iMAnvEwaGaZ$KPoWN)$nt?28sOu>odK`ywp?kiF!tfuu8CQ z+|<|pKi1H-6X~9lLfWnD1&i34p@(vd9^< zyEDgY+O|-LV5%Vt^Ng59Ik)c*SnoG5dXqFzB=w!9l%8o9D&5Af%2K~d{`;*4>N)}Asczo2Ea0}*3AL3egW?9X{QvYrZ$s5jS`Xvq%!vFU|@edcth zvEF*>90&RQ6q3{DrDU%lj7^Y&*Fty6}Ag+-PD= zPxUjh;1{RL?C6S%G5|=ddq?OO1B7IMqV6)))hSlFEMrf=e)Tmyt%|yqkBz;5p<=UY z45Yeigfizw+Bkg{=Ka=C)qpfgYbJ(^nD#}yvIC)|5?Z2D4|PPa`>7j|IiJtvgV$j4 zlZX<1^=aMa3G2w! zossBXUMRd5ut8(LEGVjU82RDrzLsy07EuvljV$)AR`S_wHo`IB<`dbFHXo3D;CX{+=B-K&=G6eu6N+Gje+LvIWJ{Hmo+TbOM%&Oc9u z^8=5a^FdLc-Y6Vq^#bHH!Wf`=!DR1eUYU`PtQL1ht)a>xrxPv6%crTiAMxnE?%!?@ zRNs=zz^ZZ$QdHI7HjO6LXBYqw3UdeC#y**phT;hiufMJdmyng$Q>sC^gFSQL0W`6%0trWVRtpK*F>MeP>EudqD-kPASxv^O} zSpU@Y%Cf?QlMfww6EiyNE(VlUcrT0+H2_-SPo6zPBfRgFi=2<$_a+%#>sM{1*Xzv) z8xSV(1k2^Yh4mHu+8xhGDOVoI5wEw5HxAepJN>;W)3N?1Dz33ckH2I;W5;DB`8Ll>E1gI?G7#|ZoHx^&$H*iK9uQqgK2Q(1f^(p38C;Gz5qh!rL-rKEf z@!&?W|B3@@s9qMPicF?E{Jvdm&gLqjz7RtePapok{Q9PFxk3lGgb{z_<=^ncUa3eU z<*HL9M!vnbcAUDjgUWl0%A>3@!j5l^aA=dKt3!VpQ^f0}%deD=F?WGsF1Km8EyKhoC8Oa+!K$XsPr?*gUm*w3MOmKud1(Wgg|)pnkTqRuYCZ;*&xsO!E2reSB zJ_K&dXr_mmDX)`zDZO)xPaG&QrMr3-4@h;IyXeyJq)$T0Q399XZZrAn4C;884LFj;1*zed9a9g`fI8)}JoZL})eF{( zZ2J6!ilMs@>K&8eLg1}R2WdDyNAA3f!?zpE;(h!Pw&A5R=46Gva-!wILjmQTuzmfY zPl6J4j#yppg?puv zdMFH;cf{dSRP49ssi%Mn53(LH$l@x@r-sg~fh0uUolmMY z5->iw;Zk8<5hVdePU-Fz`9p5Qg{+W#RTP83yv6FvsY+?YnHnQSP@b&B3|~*Sq5u)u zO-jya`DwCqaH2TN2%U4UJj_%T$K5QH@!vjveRDltpIiRwSYZ2`>nr2!TJwzD=irl{ ze`iwLG@fbGW+#~2ta$Qg&LmH^6h79=Kzcr{Vc>~B^}DHaS*Xkn=XSZA{rpU)-qI&7 z9sbPn-S;B2vq);JB;)_m8=0ABi|hQN1$?3**&;17+lNIu9e`ey^4PaqN4qDHS-#!c z2a^cy{u{yh^5WGI{ zYlXM)#A~EHT@QPtG^JC0emQl+5xfO*&0oP85tXfQp3O1d`Kl zT>AIsQ1EasoNp7M3S7fb4L3P5ctcdx6*9N1OJ>oLh|Y#> zQZ7BSOI=-72oWAWSLp$IYn!g8r3I6;`E;cb+oW6~u!K&Z^caDPynHCl{-GZC}{=^Tar+q&in?pHIL}~Xf4*!v;R2M{L#0L0 z!#5fGZv4Hdcpm~P6+1Hln(}Hl3#O4$E-1TJsUM(S!UyDGZ<2^Qn<3aY+$eQNd?fvO zuFJ^KJ5zqP1Ou!Cw`FCl2}r1zIiBfmjink7-tMsf^?4LAueiRh-UqA`D~bL0`tzqf z^yA!W=hBpKuHC1sL{Z^2yKnKp#^3}HssTPE$dfC61Kw*7&>(KYLs3GFuz=YEN!hm8 zj7tH_e*C&JYrKXKXvpDc48UmcnbrF?a+mTk?YtOwcIaN(;S&xjcIw)$E3sP^>?i8+ zu+%TKEEhG~OkSC;NLKD7@he#@reXoAc`hUUoR9h!?~+%%$CFYXj-t&z=iALf7a$T+xi@ndRv=&=~@=p9!r zpde(5m0BqJufiANT{Kmi=?1%dGp%j*yV3Wt7j&^lEJ;`+D-LZfr_kA;>fU zJ}`c$naHMCtg>n3yZC{J+v8r&xVGq~EwQ}7_a1)L+A4;g2fJJ3EnD-5u}J)xm4$XL z9Ta2w6@XC^?$)mOrNDLS9XH*;ML-sk<+c4Yy^Mo3du3NBRYBbAan#e(VeAvy@x+p1 zUp3nwKgqG|bQFxyJJLa!ZX08Va75n@b&*X##d zXd%KKow&g8^SrCcQ*F%rg`mEdNAU35bcnk4i?4=)0NLXNVC!N7@B>v5+N%H8#H{yZ_PcBmh^Y)RFGAPElNBt z+^iC8c&Of~3fn-EbY)w!o4Lbu2Qz1sk4v9~FDm@A;4_}%J5E}!bcEs6y&~!2%4((9 zLie#xKsw-z_RIc2QKsKpjDkG5=*hT70T8$k@w<03a~&*FZxWF27cVZB^=t(TbRy;bWiU)bK$n;ULIO zEH)uR@V%QEc}ji~#=pNxDoHL0j#>^kazqb4$vetp=8gN1AEgJD_M0n72*(uBC?2OHXYN1T}qFC>9rg;o6c#{~fb1uL7a6^QUx=P0| zY;L+j9WvtcGo|vbBYs9aRxe0i#AADHA*;MU-@~EjiD^7^XEJEsvgSsy8AI*ZHoRsI z%g%crahtMc+iczn1wFh%H%wn}aJYzZMthhkL{W;Wx7HmUo&>>@J%~7RentR0e&IzX zeZ^*Y8NPZFedEt6{5FkP?ytAtbU_mz_b?mnmYn}7TJCPWiP&^i?iIgiTCUu6*2BQL z+QAVV{#<{S)vNrm{Dm{{xNbl(!6c0slaw+NP?Q{9iv^g*enC;o$Q}Q!&Q~%ON;^F= zH%c=wz-CejzNq6jsGmT$6Yf&=f=GL}mE7A6T9Q@~z2x$O1DX6XKyavi8I&r71pm2I z2Q0#2rW?JVB|CXa^anl9usR29u)!TU2>9=RVrF)shC1u81?qqETRTblDV+D3+zjh~ zx<)vg$Fb~;3&tj%nx$3Kt93+VR}`eeh=RlryuaOAT6f-|h7A_NxaMP&V##k;gL|Xx z%m0SJhc5@+*%9W{tBnYrJJggcFP z8tSr%#KKY$HZ@gOEPQ{6_w$g#8gCWJ4fL3?gnoHx0eGQT06~OT^Q(P8rJ>V%y4X5} zS8?7FMoC%x0CDIoe?Q-%aPo=Id7dPg#J>Fc2NU`QJzKn)j|l2039HE#y^Yr( zrd#8$aEQ=ot&764KNN%jpW}Z2PsU6t`#8Cy=lbo4+4u}fI$1b$1mW*{;pS#t=xi)b zE}|)a!YmvmFVeX)f&?;|1M5CaWa&dsJZB-4pu6-JV{C#ls(pAoxmx>QuRzxG|HbG_ z6JeGzeRQ$r*KT|EM_=s%NUt#9^^Q@ky(EmC+3>R{B zLGY<@D$oc2)Mi@Z-ekB!NlkjJ@<_^;Qz{*u5q83|%8aXhuZkdpS}U=xZe1NI6$)0L?;su7!8>C4QZH2tCgsgsO0P5ad!AB$2rc#a68|qewprbA z0!3unB|{|c|>ff|qp!yme+V*&;}njmF6*f9m!s`Z#YA{dws=+;z3a-DFe7fqNaA*)N&!+D;w zanPxv5M+qkx4lo^Bk9X!);?4;#d;41Il~F!Aizoh`#4taivagmbScNS$rd=^6S40;9u> zE&PMrXz6G!cTe!+f9aMLKS1*Q8IwNA7m0mVzFoWXkOXE>1Y|!*Nz7{bctReDs3(+A z9sP8ohDSXffXu3R_#${FtX;-?2~Ant?|zW>IRRRlmn1sTnIMfDtV+~>b39!g;};A) z(X@s-^nN)L4OWEdydz#7+U(LOv~t&#^9@q(9G`taP1X^tCrnGm2vz4FYlNp-ibOJ+ z9JY#^sczP@euaS|`Kq}|)&3jbM=KN+O_vRmF&o|usV33l7ONn1exBnn(&kq!v!bqo z!=p;aTR5*ltD0_RM0t(p^pL0I3(@_p{^?kX=xiS?+l6*?K_)OkS&>VK2FWvMGuciu zv-IgWcNA2XJY0rXE-VZOc%w(7Q3^3~SXNe6@Ab96#VqTs?h5V$x zaQ@s#A10_kyPR<>6)iG>U>qx>0y60s+IX;BsS=TV57?xp3(K+w-CPU=M$*KpAMCnV zE#TZCeLzEg{4|LO0+Zg(Ub+Sb2EmZM zm%_)pTl2j!7Zmm!vtxLAPY1k%`G>9M``cp<7y$V*LD#WwmAi78Pc3{bDrQ?gX0-kh z&Byt!q?A^m7V-&y35k2hZT{$wE4e)mbfhN*d(y-pr9|^Wr(E#abNU$wQ}-q1I2>~N zevfCX^yTyG6z7J<23r-$!bW?HFq`m##MQ#bT19hf&R)E`bXP?$k6qq#!_RX@id$!1 zFU-$s$QXK#S4Rl$Le%_|;zGfalc_ zyE^ur1ivNE!3dSN@^lD~y!%8c?iqq1JZYPTRFGB*;o=o?Det{Mr9wC1Ez>at?^~=X zQjM0AnV%U~p*!`}iDI(AMeBEr)%{B1=cTuBdMQ)WR`QCQbo5308`2^M22+Z5xkF>~ z4ej?0psZ^g7q2x=tI8M&8|VTq*};Q$wpw`oi_ z{e1-$8-@~=I(XsIkppo>W)U{Q8`PzDAGyhC`Esy6l*EJQc{4p>2QK_ZhCOz8j(s9i zizF25JC+^HM2KPVG-tb3AfTW7KSH+*BBd3bg~%@;!%Wr1{GlVB(JVg7rTDddJF3j% z-tD5~Ya}mpv|@0!>S;Zf58QwH1IIU?n6*=qUc%@6q2L$cGH^OcHZS?1YKodvvqS|n zl;p9+4zpFTE z;F-w3e9CvULc=yoAak+>pyo80ydYtShxxC0L;41`)9+AO%#HH5f8gDGncWmEDH5Xo zyS!dj4o1|y?<9e>Q??rNL4CQdNaCx@yjCBmOt#MV#ApRkBcY-O)^IREo19st!GBlc z{m%2@1kgQ3&-U950_Z3$sdt=A4exWf7TWeC_&xqNniuq5J%ptSCiAFY3$D4%kJpZ3 zW})-?dW926sVPHm*L0aH&gvr4CGAJ5GCh8SPaIs8UN5)x*~&Cq6{p?W!czF71$Gr}$} z3|s0}JpMSu@Q|NymIWD;Aps?<{==EnA0HmOJJT?@NWO>hKpLG4Tw;(>Na~kB6tjmR z)@&3%U*MC2rzNwXRp~a3rBbaPy70D?*@0~HyM&D3lL)hK|IjhfXjf5ija}TLGM1BD zL5_^B@~MX2^WQ0J#^entJ+|E@u-Ua$9s@Gw_4e`qn$!6GVwi;GsfKhL+3KP+n?^}8 zqvS6)@{#YvijEnQ((v>$TC<-9(MYm={q1I{;^LfIpmjsDyIpdXI`gleO!*&Nsxfr$ zpPS5IoUZ{9dHNGVK0V5%K>+Awwq`clbuhXS`Xda$Shbl{j$y~80!gyaWlj> z>%8esU4W#N?|=Knp$~*U1=nbi;(~o~d<&X@hGc36GopEYb(K7Mke7)T?SPD6(`e<9 z^&N;%f})!w{P|-%#PFUrWX;L_xxMG?=`6$*XuDb>RD?6Z6^|4f5h9Fw;yzq z^#pxg=!hY(pq(p}$FYn2G+?hh>)i1gaK;D47w1O1kW4Gyfxp1l_Q5DM^1bGvC5-8K z`s{_EjHtw2+BVa0e|VXzerZAcWw2|A1`a_ z0ui~>rEWJK*?^7~wfaZcf8!U?d=OC*!6b5%w?o@e#hvP7>4C zN;Tax!Z^l%=1(xABJKdiJ3q}|cHs36q?V2wH~20$*%v)FuZSi+%tNjNkqEIS4^SaP zx1gxHNt?3$FOzC^o-uMrCnWHa)I#T(pPkf5GRzG>#3%9O$+#-bp-N546j?!oPWBp| z#O)EkHcUSCV3QUi;6UH$(@`27^Gw1jpa7V+WA!h7xWhym3DHoTmnhkvqDpdc@*dB- z%kITJq8|B@0dtc7Xpj`O$RekzX1Vl-vr3j-9$_)Tm_HtE^Am{!1lW4;(iaJv#AT2< zvx=VnhWpuKW37ROX%K+O9q^uO=T=c)o^}ByR{R%rm6+Z$&iFvL*VjiCkRx4M0XaN^@sPpzF04?4Vvfq_#L%v?kg<>i60Vl5{cPvU8}@2G0V@7c$mA<%C>#Es5LE6 zU^LaUYgcQW>tG8RTMR$&)0Y=yI-XO z#Qb=eK-|N*jmkaP6d=iLr)$%FltvP> zeJL6U+G#tSzntWa|I^{_4jD0Qz!`waKzv^x!3|77Sc(4%CH9$~V_z@||L!!mBK(w3 zU_y<$W?#NZ)EjWB21=*+r2R~@gcevDDfK=|Ciuwvj zn0g9QEM*d1=ca~fas5sgsHcNCtl}dFc;8nSi{gNdNu`E4T^AWaq}LEX|_%&BVd}BMzS&yh$tRfKX+Db+))(vjbBP; z0sznfv|b%Amu|nqJ?|E#n#a`t;oyZ$5VL$}pfFAkequ^CfWGB@2n<+oavyC^hx|-0I2%& zt!rO?XL}8#8!|Il@n6n$CoP`!TzW@6wB2ZE`ZRX_?I(O`EI(s6`and4_EO2% zXeRh^Ul(V>AG{&@V(Sr5IM(lyGwqqpfczmOZimRpLf2&K?)i`Rh}Pb0ENn(%tNc|b z0uyp@hzN~Ns!z|EF#(xPUtXN+4L>)BU@GP@H6&1^Zufw<-hD6^skN4eCfV#%H3ysn z-9TA;?Qc*IK(?+!#Z_#xdVc?rbnc{IKX;zmQaAyp(Q`L?O{}0SCg4?Czb~(=K4gj1eix4A~RhOxCNkIm?FjJe)N2@V#Z6=e$mQ`_l zn^&+`e)O6yF;bVwgDK^Yi(=2!k=*GUx9ekCx&e{fXWJ+&%AAlr8#LtZ^FYbs6|%=) z`ft{0&Dl$dR!^PSu8`!ml&wQiaw!rFM}MRiAxXS0;@53~JyY!g6-eL=9!xA%LlPym zR7uJZCH=pPA0BeZN51o>uPAvAnpTtnCrhK=u>r9YI0!c?Lvn~FWh8CbW2o>)HH#-R z6a5hgj9!Bm3G38^d(l8(pR*|LeIa({YGwsWk3dqakg;R(()-iCoa%;sDS&?=1Or$x zJ%?uJT2t5q4Z=QoNla{?Wj=XeABA~!Ql-&(6sMUQVA12d;4f1xiYcI!+}e-(9RPj8 zx#hrDs|-(3-f=`mWfDhRT5$|aD8g3!leWXx58>PtOkX}TfBWYTMvZ|p|K`sKKB1ur zJ-OrR_XnnhfASH4jUzg)6p!Qd7!4WxZAdDb-33EFe99ahOOXpmhnH4^m09AU5XbUH zhso(6Sx6eEhhsMuaeI5LlOLLIc%ooS_#qNnTIV{Y)b6b=9#4sx@3V40q~=G^8Th61 z?aOEGL#gl@G$ZC?OyeJ9_BLkNxnLnJz2->ij4znqc^yU7B zkr>wbDceZjdQEmBm1{Xch6pavm)Ly;dqF!!P0y>jN9&y z(^@*+n|$J9ysjesCpH0WK=j=u=D_-RXWK!+#B*uII~+^zKMp=8h`g#kGuF)@1W(`V zg7pU+Oc3ovf7;^HokEBt;AJM>TEf(*Zr#p9WSAVn{zS(Dwv{IMov;kA(kLpKs z7XycQ$f6CU(=GU7v=@Ms-E`umcas1u#c@`Yj}*sA}|GbV*yvf~GLD7n6<{ z^JmyLqp>>FkCq1S^Gvf>-D2pGlI?^K{HvjYJ1sHUf*nvCn@2CTv4!4XhFnX7biaD= zRnz@>SHw_A$3-l)s)E0wJy#~FlHQtkW#?+mXXIFk*az0BCr{~w05&W=f&i+n%$}!Y z4HW-t(+l+CbBxUbCE`I7p7y?g;yN2oveeHip6TV+kUQB|M7k!HidmW@I%)Ihb66kK|T$2e_3I){y>QQ)Au`f zZ@9e(6A9BHLcB`=7Mq>sfbR+O?omoSXJ5!# zR5-$BAqivh8yd(4?SV~-bwQOW+>K&_t|~A`hiXk-nQo19nPle2s#KU9npQXw3l-P2 zzl|2#rD(Do=+GSBMT4Lc>z?)yxCqmd8yGx5u8R$xgybVR2Y68IZ?-Ry7$GqYrfD0> zK*bD+j%t1uxW<{}Ba}qCmWJA{t9z$w^U-h8lau7cR~|ql zJ-0X1rBe4nUL1G;%PkexfLX@HkRJXp^kesrFTKT=>S|L^!E+5Z;2X6T*gOiKB^_cc zC!#qezn2g%EX?v_v=A15sR-w!gk!@7tTM^~x_BS6C8#|-w#ocH01Sv%NL!{ZkZ)C{ zSwSVogk~QMY26%U(M`x?)WrwT(oiq*-x=SufKu;CjwW@mlc51gg=#~(8e&t}g`3c& z%pHJR6n?K0g)SD2Mq~PRC6$9-b5qti!ygFIRfSH6K1v>~f!^ArR;inRP^qUes-j%CIdrc9it6gpBp52fNGwj8 zMI8hY_b8~m7hOV1{k53N*Uai%dQ|p0!pXdjidGKmA`a2|2rK z*EU;1k^-UTi~KxX^zI-b&fu#Io^J4~!dc({9`xu-@}BP{jVyw}!S+<0{)z2Uv52=W zCxwUtZ;`k|4)xgkPS0-B_CpaIoTOXp5U=@O z@-5DNkT>*0VSo7gk`5v9^+>VF_exUJ?k9SR`A(^$)00Wwh+j~C*nc_6eEMv2V*(<;3|5EK;oBH7Hg`RNMg;gyK!l#du>l8ES-7)GeFxN_5n5^4z2 z;p2}EC9?>K%X_svJx4}Ln2@hw00Le0n;2lK{5$Q^8GTS<1Nr%+iyQb2S`yj8{r-As z$~`^G{}$_DCJYD}1I2;l3B|x@5iKxAZc@t6kt?CCdM*coGib)O*#>Uad^2rm)o#ABo&U;#gJeP&CNWOmGO3x)}0XZeWhX*psXD`m}(1;9G zjn=nCdtqBEWGXRU;ZP?3Gg`3pxkYhY8Y&UU06c!?ghX;mWc50 zdvW$3Ngt+R73yr74*^?|-Wk-fspuSQy(*JrdM{{2u9mYt3wa9BmWOH+(cQ$-#?KCh z{7WYI!~#hkgD2zFj28x&AHh4LnbA`!&On0DHmv_*6x#uaqq2b(ePz%Nf^2tFCRXO)QG9UE*nmM!WzN`VJS>%Jos=IfH)Da5 zF5m(QO9I*p2zx;~>VPhgao$`nf^}Ca0V`9O+A7nfTB93JZVBu=v?mc5?$YU#3-Y6? zWIPayb>Nu|zH4LEBA~-z2xSoEA&D76#CK4E;4}@A4MU*WW=pjS z(RVfY{6q@}jTJ74!zo^1ehF#6{?aqxWT?P3vtd4KzehUKL7YIYO{}qcvP+R46}a`Q zqvT2v`gcsF18it-}b+dNU9ppNVA2~PEcORcsQWVB|NF;mu?MXbn zN?k==LB_J9d4GY#=)MiH_aTAv2bPrV9kDPmn>~u*; zo;o+OCm}@~}EW{MwlehOU`_)Ow{eV^egP|uQ?Q5y%i9#M zqm)LHym>K^i8|E*lP_f2dzFP?gl(23X=erRWRI0VGV)lJh3S?RJ~zqO(OPuoS)lu( z<^8m-@vH8Y{i*UaP;dMW(y6LHe|;^~VY5HOvhHFjz?NXLW?>=&XC^EakSmCo)@R$N zCt9LEvf?7>So~k^^2(PH@7 zDbC8*XxJx+g2&zA=`;ed@@;-T9Q#DJ#BmP!O=)eoT^^b3#b^O|MjSOnOhU1x;98-VH%2@a)u_8NNmD&6e0`~2J_t^ z(%y2nyTCjOVJ21#HhRecsWw`AOTb@X5 zD|I7@UUPni>@9$32RiuF7QEH=lNRGkCfpvn}`fXv=ItcgPCSdsLAii70? zhNzr0aNpdFD7zSJsaU20AWwyV1cc@j^=Ys%s*uH7f^2pD5AOl%ba~<<+fDIO)Cb7j z=BnFWAdxstm!m3PUHcwRFi}fdw9OrC0hnJmV};i--~|%1kwq$x@f7-Fm5V;F@D~=020P2IgwiTge8X0xU3M zW6|_Ib+(F_Ygl1FGl3JRdUKi?lA(x#r#w9O8Q)rbv#g>N<}y+bOmF2tV`Rn!qO(1{ zH5VXD0_i>R$e(H-fZ$O;cpn&Sef4TwZe^tTtuk{#5(oSpd}z=Hu~<&MSaJ(8X@E_L znmC1?f|&4Mt8^=G{@n2N=RUM57)SzcgNSJI%LQ7}O(Z7%t)taO1c`!RFFWI}B}ock zq9v_AmZ*p19+@ly9J8bTw>9OLqBe6?DzbXCyfzJb>DRJLDBf)X$ph z!RjIA<3nev_W(AgfSeU;9msqbx=wa@q%6hJ12ln!le|#@n{N5A}(e0M!CTsWbX(E`yFAqeB zWN{YgaG#L`xYbCFCJ!Qce(GjerM@y}&fe)FLQn)X7)pdEN*C+!V=7xOyqNV=SMjfs zU44mk^TFWX@~VD>J+0$cV)9<~B1jP(F^?C%HCgWGUJA072T}9| z-vu5UIX#Vcig;~yiNKRXm$^%{oX55CI8bCFCJkdnc`zCZ^Bm#Kj)XJ2b8bA6_|(0M zJ`QFfC?dOsK@_YRDyEOE*+`lXJNyB+Dgr_bZ@S%BvVpw8LV$YTVeV23GQ7o3VjosL z5-QFumA1#DNb-nOM9>|xLV^Lu9uPfv+ZP-8AW~>OjuJ<}0sJv&BF&dj+jG8J9jdp0 zJ(IH(@Gn;q)d(8yLKvOx1m**rypZg&!WN*aZ=+&Xt)Nt1!M=+};F0%p=G++T*Nfm$ zXP>r*4_OkjV*14Jt-0|;l*$Oi5pYDZj;B!c5}%P5?2AjqX8C2{pJdX=C2a;)`D#`Axz79&>&ITRu;gWXIZfd&%DuywzkCVb2%51PsBf@sx z2TbWYdyhY)Xu%nk?c5%WVmp5P&*>{*Edc1HHJtY`#)S}sgsu>i9u}UxYvnQKJa`$L zCgepoZlNUMBnU{s$%}#v6E!n5C7rjt9?TMd%&%y+Nk@X(qE`}brdpr`!G&{G{a=4$ zJu>K)F)W9xqC+Rg^T-Mz0zJAc$^h2PTtr&009N7RZ2y@)5|Lk6m~|~(7bY@Jx<8MV z@!JU8rPxX(V>c8-tb4_fkb@t9?^m3S(hpgJA`hrqa|EgY_~MIEz*CqTjbQct2$}=5 zGGq`JRh~#DV`y;bc~1gnL6Rx-vk%HqY6fKqmDZn@@l!eOpv@sKf*rcimn>(02Ti2r zFlY-p1VGo|5{WF6*d(o}Vq`t1(&dRQ+xPJ3?N;b_HWwTR-a`oyG`(+Ur7n2oqN@d$ zuH3Kfr^*rE`u!TJOg+#Celym+cCc8^c7-0I51~K`ZU#669ZQ?flVCHfmJZK4`eX`A z1Pm>M=0-_{8*2l+c+(c>A!2o~Fd=nf`lr)CeGzk)M3Z0pM=UN7Yy?ig;>!dq#Nr5g zP-N1-T4{_qk&@grB0~52Z*b|O4`s?>8tVyEXfG+$6VnYAP9j+&;tDy5FHGKp=hk=3 z{=Uxs$ut=Cj8`HD#BAlT#<||VQD!b=n3{=iDuk*js~%4D@k%voLE$ymT6`>1GN`1j zLc*qie>MCv6?WSJU^k2yJ9iO7O41?MlMRPZv||FE4I5;)UB60x%TF1+2Y7`x=Q0Kh z4pLc|DLkHD1aIa9>?BD)AqmGR0&L}UIe0i6((=|rqJ^cva2yI(B%kt%iSfYMjkah{ zwXlk4)D{(8H>&F4rvx2HaGVW5x!4!3Ul3!xj52MVtXE{txoyQt1sqi3ycMFFn;S5c z%{nou-kB?NHfwj#ox9Fa9nGljNCkNi&dN+bTTuMFQtI=rHT?XBk&Pi!&ig;eEZCT; z1mgp2mQkPYgUVt3rajpET=gE-*Twlgs^I-pU~ix+%Xcpw`$W@&%Ye zmHF`|QG|jwFiHY)lbVv}JE;qD1dH<##d<{j5OibNVVK`SdcGgDNePWKJlv{mxH$ZU zTig>}Ve^%b-i+n>XF+(9S0alw+=v22l+7LgS6NLbiL)HJQ07PxoO(c!pr~`tm<`F@ zX1H%~r%6p_eu|aCBm+^Hz6qhYMFA=SZ4~c=2)W%lLss$YS5Sv`AStW%8_J191tu;3 zfxqfpg%=qEqP7;oh82JvIg9>vSzIjn2ZWvR7XoX_N)J(1ukS`EfIr*f??TwJ-U*^K ztVp=kJKTUz!}@sTGJuUJkFoA`2#RmUJfHIiAQp2M0`NV2dDVL{br&s!7T%w3<=U*w z<214M_QKs{`jvhMoiMs8u+@MinmnJDWqz*CR=)+-M9q}1={L8d$dnpV@*h{ff7~+v{BM4(JT3q3{xwY3|y=b7=)94<0^@Z9L`z`ED!#c$_OA5c4_oRAm1I^%hf6 z+eb-5<~nO*@wMQ2Zgk~05HSP9gc-?_rls23PcB8`4LY65-sWeldnK6Z;*O@k9U^^j z-uL?EDY4`LzN#@uHAs*U@2#-b(=S(u(QzhDK7GE_yYvd-*o5!0~PCOd6K-W4vElF1vT}YH=kkbB5kq{T%~%)0|50(XsBv^F7D*C z`e|q}KCwZZeCb^&%4$cG7bP3e?gqOH(5AY1Dhg{Yv69nedeP!VaT6F@;zgI{Hn)of z?f=314s|bow$vb$XV)G$Q2xEl?67@&|8feP5$eKIX}!?$QW^1GKN7mz7#p}?*T<=$ zAp(5IbwRm>p)q5|3!6War(*keC?`30NAmUKbaYKwSH^j>WPO0R2Nfwd#a~8HxTs)v zMJP6VIZ81(cF+~<>C{lX+U8S^qqYkeNmM1q` zPzNm&X!^uAgSOmV5aw1!wqE@4ECVrMn8;3o-|)zAexycKO`{lM(Iu?A zMM5jnUqBDRCYaxk`9Q-RbVUQ}TFDll$GY|nE-5&XHAbt@Q_I^J(fVM zz}0-$omRLN^S6^Tl#A%@UW*5@mPytaEZ9C7BRG@yZ6TbEo(9M<5-q8uK1}0(W*alQ zqYuE?)A`*8FmZQCR$K?4_~}3zYyJXwT$uWh&5$+<@l0)He6^@5?p^ppD;hOb~@8Tw9&h8FqREprg_VO1n{AR~y;LTM|wR$3U z6ujW)LuKVc2#(J8Qg}Cf`IrsihmYhmC~g5rZIjmgv};Fk=gh|B@78h!YR`|dSXD__ z5`oS|U8a*GYP~OT;%SWt^#}+qN)`t)!F7MO5WOZ)HMdndIE>UPqbF8YzPBrj|7kZ6 zT`1kCrHibMLT)PMYo%W3!j><`6>LvfXm5K_8hE7stQ2jXYJ%)n3bqOK{ROg}_pOg_ z+qAlD$EQa>TcnvPjn%kSg!-5ytHy=>p?xwfEIzhw-=?!GjCPc3Mei8gd(TQB+gn&s z_Gcw?)uraNxhu($e_nj0)f03faopeIP5a0!k5|N;N_0P9&^}U1t{G4X_gja8Ubq<5 zkB-m`Y%}k1bf0oKuDltD;!pM*9SsFam`_GjbN}hn?27_9_2tou;35_FAIe$xN+u-x zS&$cFg^Z`AETwb{bppePXCB6?FR}+9Ghn}oWzTVslpcF)Dk&*+VP`l*32qIU@&R+B zX;U)1<7luQ?$tq>`K)=9#7gR647H4s%KG#vtw(UU#n%4F#E_StU~%8OQwtA8_?>tK zv%^g)bH=9+wL_o#Cia~#B)JD3n5Q1wNjZI91*ce7ri;qy zN|U0=)RV`$dY92ByE00F7VZmVdf0CDI=c0=-4JhMazlnV<*&}Sit4o_InoHN{-{@5 zeDJV0d#Qev?|fw96T#&|B7A4g*ylav=rZqd+FPGT-Zy#vmdP8+ai8U*q{4C86LBws zBBP?xrU-4I?*OT*+`47#;*#lkq@H_4sPda9mnfSTzbt)z)Bv(_mRg;4r2@oDwF#|L zMN_qH8awL}hL%!ivInvDPQ;aze7x#47`X7*(f7qsranp!;18Y}vA1JXUf5~-G--B6 z+h-x2>j$G2=8`!hG&rR|xXx+KiEQ$owN90s#(W@LSZc-BAn862nZCxGjofkSWTmD~ zcG!u7LA5jMLrP9ehvyq=UCWBUvD0pP%`x zuVNwn;E|`Y5+6S3P=?5AZlc?3Vl-n`!3D?sX#%Q~$cu z){wuA`}x=BGN(?PA(V~U+^2mW1?uY?jV<35zr}r(T1UQ#u9*PxiZh_)~nOV}^->Q>=E* z!m)uUVoiL536DtsJ6Z@3rz7H61~dE030Gb&pmxYa36977qUP&CMHyv#lZ9aEgfDw-g^W zQw8{kM`O)+&rXkrsphkJR;e+jt%`cy+<>cgi`hD9;zB9a;DASlKzg$XVyVQld=!OfG z{Pt)mMRoLEm1>;QSvAtuIvF_Fka=EHh?14Co}|djaN!$#7m7-9!d=DdJ5vljilSfo zicbD&u>~K6*VhWvqH^&iZXRArWYxh-aP_~_n;%xevKEU|5Rbi$*9v$S*LJ-cheEok z1=%V9K`0W^yUVsHI6zxl`;qi&imqK()!5i*JBjbNtD3kK;Jnh(<7w@LcpP*dgNjp* zvrQLb@8;y}SUkWnJ3AZk;@@~IB0C;HTJfWOu4e@~v=YA){|KhxaQ~q>_%_ME zPITBI;vC)OYf$nq?A_r`1rUE zx8!pxfCiJ};z8eHg^9~dc?nQkvdN&=(;UivH^b8qme!3q5Zt-i7V0R5Yg=Ieci4~F zJi=T~8FD@F&9*FafK``_s6`E28JydZKfjtw5u%Dm#}CU>hO9K$2Ie}J8th}diPzeu zZ2jc*Z{K)g{w6IxFwp|^mI!E6!FbW43la4R505AQ5DV|`q^Sr{R<39Z5x-ib967=h zK7tC5wnFZ2?Xg?k_U{ds(puGpvn`jAwO~E*K_2yQt*eWIAAe%{Rz;jf&ty6+#DJXQ zb)p3uB$=&QNRE=$i|9>Q)NTMkZwVP$dv0RBJ450anAWXBtt{WeZtqfMMd|;XqXocn6YL`1+wY%`% zJ?qx3BW8(+#I^X7AXx~MfVb7?)G5fZZ(f%>apD9y-*~ng0m{QGNJ}VDNuBc^Z{brW zCPm^ZzIpQ|VK;a*W&({pVG*Tb9|a{(H;nWZ1XaKiJ#3}7m7;tX50w0Ro#q)?2)GRf zxnwyy?G(+uJ=!*(I)9K|U&&SxlI*vD>w&k?SA68dye6loW?y~sN7SiRERpu3*Ku)oue`=8dGJWcaKkqK16v<-@r_Fk_bo zwa>QU)W{9vJ(ZQ2ZuqIBUMqh~b@d;(Dak1*uz8-_zxVgg3%}vS#PwurODdycaMH$E zqcngka`r?PY^y>HTufuf6>3?qj%!3US4MT3Zxau3^ zQZKp^mLltT#ltD0i`(BO9uJR+d%2#Nb}ugm3|9{6VSXDS5a9ed06SX7pHRC!G+O-j zxz4Om@uP`|`~T>U4{TjW^|i~!Q2@#-sAuc*f5q65#k}c7sL+PgvCJUhVtQK z*j;1wg3cpui-kGPttIbl<8wc+ot`Z*papfe1&vgI_Zuk(Qb@=H)7XQf*hCkfa?+0^ z5F*wm*k?zcCc<)URfLD$)BiYKx|oeXbxfT|D$txq=` z3S|HRK?orJu?7ufOH0ezE@|OLz%xS6%_+ol9VJ_GF6u1m8hUdRwPN3EcsShr6nlny(GydP!W+N zl2t^!WI;eAsszb7r=FX7@BO~FXT;xPW?f>fn5l3e$(S4d6jkw90OULzHC~D6e@*kT+wVM(} z`Jbl!_KWW2=>8Uukkg$lE87(%PvYkzeQT=fy>qKC$b@b8zM1cF|Kx=m!dy4=dHCFU zQg^Ber5^h+l}hzEc~XV_kCi92Z_g|qj(e2)du4gHOP6PTPG79yc4=ENiK)T4*eN|d zQ&UrJJfDhZ7=-R7zfjf+YgNeSqeCnAl26?T_J5JjgX(NQkk73N)Czpi*XmI0_*D7p z0L6yS_%~bV_@K1U|Bv{(t&Th1AX z>`Trv+5CW=ia+rbGbNzk@XR><9ha^7OlP_?6+ryi?hv_iZ<+! zcenFf9E-E6j{im9z0sm9Xg#GOVTJ`zxvsP@UYp_2GHV#;QmY|jf&VlZb~!x>*NAoz{WY-X<71sxufF88ZxmI1BZ7TBRlUAkyiAD3pfUMEqgPP$ zu47n9?QbSNBgG0MZ#UBdLa}m(6v_HYeJ|RiTwW$x7%fqyAd!?(;KipE8_gp--F~HP z!zxN8{leNql*-NTO<9f@X1Jrz{QLdE#On@`0N%LC+{;o?AlY)>Aj#xQ6Kqq z=xmhD+uWf7dAH2gx7Rn1l?tYGe6~%gxGB>bagL&dx42E z@*c>%*pzoW^ey~oVZ31cYIQ^%mxwm|au1MQwk4sVt7rn02uz4KF-78+bzr8T<}f^ONK)AuaO zD-UZC67gTFaIe63&a&nKt!*|sy;4pvtIf}wVSe{7&J#ne`BBTOd!Eerbxxy8uk)4` z=Nf&+D$+mOBw5@(%1OJnarfxr+)#Hq4ImN4AN5`*8N z=;iwE=FadPR?%WERf-;7RJWXrFo7GV)?V+BbF>mp-hi`VIM0+x{vZ^gq@o z{Ev2M|Nr3sheo3R*Df5Lu>ld0Kl;+I^~N48aL~LG<%f>QxqiPj*ph1%ZtTvwvPtQz z`)`Pdss9!ceP_p6bT*EHF;Drymls5GzTeBRZFu%t;>LEdpN(_fH5lu;l@yF~TrUn6 za!~Zqj05s;7;2MUQI32x{83<+-5J)?lIzhG=fCJP+mq-y{pFg=yB${M9q(`VG^Cg+ z&2%u0JUc^q`Bzc#*{J|0@xSe~&p7Gc>{Mb`Fw=FhC1*l!4>uy}8DqD)yzv?}8e?%` zE>SB^X+z}eWp|gpngmvd{E2$I%(^qChKsy31aD_NL_ObkVWL6iv?TD(ugg)g{_KUD z@b7t}Czkzt&~lUBlDc%sN;9n?LS9=F|7>{;`{pgDGn$l`#^#ADy>~aXYhW16K%7qg{GM+Wcsl z)>Ol^-5XJg64o*H#ZTitikg0c*RUGMY^X$tl>qQq_WR9n%q^yg&z?E_S0J^>S=xwL z8@?6JSn7MDRa`|vltUzo$)D&uH<>+{(^sH36TanPYt{}a8{IQ!&;KLUQ5xRXjAM| z$oFr-%9Z5pmP6l0x$p7Om%m=;O(f_`ooy8*@Zm+1Lsafyjvy@!k=l~rI3Sy`n^lg0 zVmTf|t-2$48vWnwmq3b%`IVe!_ZD5yRzi8wd>|>)2 zEi6Ne?aE4?U;gS@a@nL9vdiys&3)A(i<#+fRl!+pN*5cRoi7-i9$`g@v37f?FU7^2 zziQrSv6F8#w*7JfV(R__)^mEQkSWtPKiHi={Hycli>xq1&80T6?r4^5H@-B-_utl` zqfcqdX!M%0Pn<$=oZ?vdMQ^{MRu=m@^`$lrs`?b!l?g?%-8|pk`Hp?lGr1#_cPZ_& zP1{1IWwhALM9NN)rm4EKE8C|gYSdVDdRk2`Rq~?xz7ysw-ohDK+mx8`p4vmm%_8^1 z6kjzQ?vC#Ga;?y7$v%tMyZ<(jq|6c!utwO~dn0L583uw>V#z?(wnQ#}X04{+q{e*C zAH#p|XT;4v7)fKJKCZ=0s?B!$x}MzY8-xAuqE)WZHYG*r#qb+iNzhHMWSUer`*3dF zXleMhXdla>4a_^1vt4Yw{xfQ6UjuGNZJ^>GZ)azxbW0QC`0lIv&lISM&?=R3KgkaT z@@brKZxWUruTEJq82BvJtg^l|_5IJL{!7(&Su(!s3qIShUNrI97Yv`6Nng?nR$!Ei zm2^*49V*gWGR4rifOF}V10yAcd2f)rFp^)KIAc6fwzBesAbeNN_)O%LgDI4qz)(Td z{MT)!1&(k3He2~+hn3IFVlk&$S4`Gp1{>ugLtfBM0V~pe#k623qn1$_Q(OBo4L(YMj#;O4J*+BP}iL$>WDHWYjargt;W`4fHxt8!D@2}U* z91DD>7Um1`Cl4m%O@99n(z93JHu>x5(WI2v8(b4J=NL}k0zwn3l%g{1=Vr#j3=U#3 z63W(68Fpvj7^J?u{KhERGdDj8^Yv)HZRFJxK6N(Ar84E&v#-}u*`JU24F8gPYB=y& zu1NOWV2UPVaUz8Y$Styys&Q}L0}$hagUgOv^j>7Q4&mQcb?M)7(TuprUYte&S2TqV=q$sZ5Hh zeG8u)|BK?}+0nKo&XSb;u>L}Su`ORDvt=wO>=ev(_s+l?;Ykyk9)@!s{f&_~rs+IU$BJ9jjV{P- zFrlTG6tA>CtLV)cF50?i_jR~v6Te4GsKW58?%<(9|FjNdw~pzN`Zjtc*moq7;5A*(j6>Z=#y6cYo`SV#T7(uaBIzGhD()jkm$?!vjbzy zxGh;$QNprc{~k>{xo73xBiA^Ke3e{gI$3K4w-otsntU=pPgxJb%W69<%e&UtR2c;xl!ZATRR#_yX?)G=G!1*Nzu zLfCIzeO@NQf>Ye2a7!rHE^Vf(_|jbs=>zgRC|Ew-@@u7hV4d`SRX#nVlXh?8cmM~4 z(vD|0TDNYYOFr1?s2=MpjqJZ8)|-((B{HZy{K|YVyR2drB}|svrkQOu&wW*XSXH@% zR$7~1@gBn{`!nw1Pkv=PeqpAyqF79cUZnpKjkS?rbi0^z!d3 z1GfHwNw?9Z9`V4d$MbCF)&6!U(th!mIbjji;MPNr6X&K0Iv z)RhWp!AYqYi?9cJDbDF^Dxq+I@z*!(IAzr8BQdiu#Do_fY;&nH&+aU(I9B$6dcZk9 zQ^l&)+Ge;nZ_>cI<96{vlcVXDKd4tzKz4LK=h>d4JyXL)tkv9Gk`@^qdW8q2I0dN3 z2k;W=ic8<`cRae!zzUu@?wCeP-FEOF98vxEv7mXMzf6}FSxR#}zO!3)womozJ4jF8 zV83M`>FMlTvb%Uhtb~Wj$Gc86S}655vF&T92=^D8SJRIN@mno?}`m$Mt~U)x|*%)~nxH-a}in46`&v3iGBL<-J@R53t3% z69DKJze!nrabd`OtRnDn=x%vFL%WfgJ^tE#(d_CjnME5}xkH>qN5V{UBH{~1ODz)F z>7T!$t~4Ecbv3~i>g-4HikExnxSf*U?C8Pr>!93kXcE@qMV$GZzF z_X-z(N{!pJCc8VZVI{8l*s@TJ0pZrb8309bLAFZJkWY#HkjEMrHozxt|;>XpicFCAOln4Vn+ zWVT6e6{Idc#^0KF@_NpXbleLJ*yJyg{q{Ex)CjR822VLQ9$&Rd^H{K^WsFqz(&7WF zsx%$8YTYx&nJ?|~oSgDI!&vJ?d6EryOSt2nW|=guVT(VHjb<&TG{fULl>ham$B>y^ z#|Kq@1ow=KIw5o_Lm|B?)-LCwxPy_CH&cUQpQSO`$S>P*>w#O}S6QmsD3chlVJ z7-b@AavqwfA%DHuT)22TFE#4I#!hY(wT2wGk-2k0vJ5tkfYV>6TJ)Z-H*#+@3wU0^ zq^zIyv;CmbxnWQA{6q>%dFhT_fv3}YpUOS-;R+b0rrd$-o`jAXHKytO8ygiWk{daX zwtiwv7{LHT`Nchj_`N^RrSUOkt?4x>wCd0C-q8LW+ti;fJ$aN~S&ODfQ+d$qyFp}o9$z<`1$pWPy4+3nBz7&{f+D>N6R06pekAs09SKI z+ZFnX0}l9U08;j)q|9@~e-VDJ;@s-V`u>4d=*Rk$N}HQxactt@_B-n?M@=8ZBP%{1 z*|c?MTAQ;P92!!UEsk$KXK5MC2(MPzf3fMsv~lfyRdKtssb78aCju5MO}&%*U8!LU zlsv2ZZ|n>=a?x<|X?9{cm+`7{$ISOzJ$%O=|CddR9L%%h(*-70Xpi?(0gmoS!A9pY z>{GfT7T!gb@`mr9mfLmS5zlAl{uiQd}8vmpyw#d%>VP&Gsg#WhsN4$sp=4H z_Ky#Ol{HN+@4Hybr+@iN$Fp3;TDB2osbA$V=o+fulhEq>o8j(^el zWV~FR7iU;$Wqjy`+}LgSls(!}39~PZD#VsTj-}CXGyhlJv1&Q4G?>TqtM!zh0LH4( z`$08OCrVRE7HQ(w3XQqR<*4zzGpv|;8n>9SeG6*%NU8C+@!2kD5omNV)ELSOj|Jv6 z6{Ti6Mawi-P?=UN-asAt(sW5j{1t}k9@=D!OiyDv)h#-=kHzu3RGh}jS?_t# zoVJ}Y(bUEV{3dR#J@N||rM`(c(k!xHxrhMc!=h zSC2jfjE-|u1Sk9_S2MCzM?YqNnp*1hnFujj!!z2>zDl-sZ$z7pR~$_L1;IP^FCMsb z6Js3tR;Ia1#ic!YJGG$;n+NIEqyU!$AC?=)7WP5aeMr(fIltS>I&I_~>&rF%K%rC7 ze0guyV%6f$pguMI8o83Df|zV~w0X&H=0t;5n5hyPd1*{Gl?m7YnO^a-E!=rA{(d!2 zPN!8V7592m)20}z-z}>+;WOOLe%{WF7R9fEHDi_^=<$AE@q}C-Pj{@LUE#?0`z+HX z0|ybxCK%HMP?p+haabJTQi+Xb+P{HlxX=G~M3udNp(35ys>Id9ma} zD^}2ZCfkSi?ZlX#*Jl1hqJG@SGi=j)ooULa{BlHe&-jbSY@K&G3)7Rn1u)t{8hQK ze`;a%@2kUNR#DS(S*?+~d|jQt-7Madk8B$6o4~rp&G}cG_Ym*uUAN}P6D|1Jse+0h zRkzHsx4P*$e>iH9$QG}T3kzz;s`z(0Mn`*?pvgxI-b1cTC{FP=?ysGLiR2EMxN}jZ zX1VTE!3RM029u~=?q^fkheP!OYW+9Np*4BF(Sn&?dE$(TtnByrj*ls(gBX1IwmAe-LQ zslk|)5XFbog+DgJ$nA9Fb&AeybN4SscdVda$ZmETHL-*R}lPj>L7*{NZ+)mxI-*d9sa-ZaMfB8K9m0N<)TPQRs^YR4&I zzffF7DSn{@AK#GRLnzwiqK-#etGhe1@AYWCv&+-m$v_)k0v>9PgN>@otT&)#Ij}6k zw^~sO!z#{83uM!YA#PUx;X8faxj&UP*|bfNGV#wpJCTT88g?EyKXeIcp2Fl=air;+ zwYD_$?6;*9qDK?mi3q?AK|2Zi4vQNFf|kvDB7e)&?`c+FK`iZV^nio=pJ)kHNkWgkXt zoUcBD>1dyW4~kzoUBu0>e?jYtO#0NGYo!H;GCTmk8KfYdJ=NL~s>jf`(zv=o5bM>3 zj5q#kthb0~&qMS42{Zr#w+*45a?d!|yfc*9V5-&Xuk6`z+r0TDK-!^vjDM^9!URjy z{|>=~@3>&nRAf?pGV)9{_qO~`YSWJsOEp)#8i$SOeuO{q9tcGS0z`q`_iF0H3w!60 zV%82T9*>sO>OT}rekQj~CbyL^`)xGPlm}30m$%($i85c(GXt_M*CO<0_oqF$Py&w? zuxS_DBi{syL%00THLMC55{QJ-{yxu5sT3J_c6R)+ju9ww!XZDiUy@Q^2lsmLYm5h@ za8at~!+w41yQo=)`d1s>*df7})#_!7E_MU}h_V{G8mIL1!gF$R`t!yrElN1111e*f z$ThES(z1*a_ME6QAML8`X;r6L>*9qtI_ zyE?yOE7o6)-~caE^H`^m1$T%rBI%-MOkm&W{1{3u2bSWqqx=_V($QxK+s$z<60_vQ zglpZ74i(%t~F}pmB zQdRd-nXk!hE$63^x(EDpspf(C)g4%UN;|?T)=c@UNj_tph`^+PiP?3G;oQo-DiWhL zYQ?Q`hIY3B*K10(oT&I!!Y|L&+&z-^W-V)j%oc6~cI`b_x5(>F4r+_ziT740On&MZ zE<%`=+=kNjbbX2HO|H7%X!I~M*y~^m@q*HA3Nr(aOvNent~i38gqg7FJ1+-w%#I9T z?Mbw%r7939jmv_l43%}lA<=Q7&&?Wn8jaP&sg7+R8br6 zPlq?+&mD?g&!wC9j4i$gp2X&(DmO1GBsccNG<%q$T#c!YOcF893E9nN{iQ2XFuU)W zd7Ljp&x8gM0p}J!i`^;J@pg0I^+IlcqbLOr#K{gNs=O^AIc6NYPzjqRN6 zZ2J4h{WY1k4LmHYS?xo$@Kp=5R9k0=4oM89n-9s3m18D#gTbviF}^s5;>_#SKt+N} z;6U}f-yaxC2YA?Ktn1E2@5L*JbUaRERLE#m9^Ril{S`1C#vk&~v8~{7N=jVUI+d*h zDDC#Au^j!Q`d=6#cswcIL#KFm$cW5T`3Jn_4it&Za4;sTISR^1w4Ya6%?bF1(3n;6 z2Jkcjuj7`C`kiW%4b!H-!YJuHcTgEiEe`m0CRu&eDr*5OINu~pO`-}BD?(w`8jqlC z%6gOdQRVyCz>heZH|Kzrja0_w+nlpFYo3zN_?;tgVTtrf^(|=|9XG(rPsc*s)fEkKVq1^vya} z33oVN*Ygw{y2$Vur2)wzELr=J>o7K^-vUe~prdjPM%I@c(sJdzt!}?753m5FgElyx!BRAoF_mln> z%mv|L;Dw<421-SWz{1QE40y%7dFO0TDsmmJe7bapz6HU z%J2qPsL%LGEQ(DWCg*qiYztDf&BzJbT?W3Cws5i`e~jGLqPluh>MRhSmb9g4y{#y6y`hlQFK7XphI6AG9XWjgI`rg4 z4$4|CF`DtTz-x54$bz5kkueO9+xq=2lz>TRU}hwksc$6=z@k!?+WrS^YOvUZUM8$Z z#smV{G~2P8C-(SCUaUK~L+qXa8yjV9fKkF4P_P*t@+a#*3IFIv&mBAwBrnovpOwZ0 zY0z$+s8N4WUcCW%q#_(MR()>e_-Wf5k6|7O59 zBsqh5>CFmMCb$iUVobb+0gpP~?`M{YiekwrQ(e7q>@JB4-8{>kGSA@VI>Am+PlTI8 zvc#$XfY^@@6U|ahxyKP3*H_mdg-8IB=bT%}M@^_)jKygP*GkbHM;i(ObRyU9ia?qK zBP)GKt%x`l=NGxl%i6j67o=7pWN1Ta-LbT!GuQH#e&%|GA1 zk-fSGNP2kpvwUfNmkRWqnIgsvX(c(Vm9%A4^7hur52~pDVP6RVGPWBkEVz!o-_J4& z>(?WfcKr=SSAvMhF#+UIHi4EF*341COTBe5e#Sp0j=XT_+P5J8gYKdq4@qSl!hw) zNvhS89~}vjm97&NBI~l@u6+}bYDbF)Q>IlQft@2`1*|3|we%oTIsTSh{@rrRW4)@a z7hW!=T9c%gT3qJY4Wu4_5%yQ`ntSmU@@g^;YilHiPhS||_eiv(+WmLA>55ybFaMLB zNAt;$->K6m;ZJk($3@Sh=p7&!76Y>4J5myRnhtbnfOUFDuJBLEV*pbWk9hU*BGgB% z##QOPPgq|A`BAq*xsUiNqveGXRGJkaY46v!4~%n(c~^fz=G{{-oc;YCc7&t|fDr@e zL1F%qQ*(hY@RKS$v}f)_e`tNli2c z<<&+S#f3!MdSoz90;t-&)ss0^wQSTH7axW)_6G^PxB?byM~nx|q6T=1P@Tr(Q^F^(r0-IRH=z z+vJKS7rg*99m+E=m?{%XJa<>O*-G zD-9l?ed=qBYB|}^A0ts~+bBzF&}1>z3sS#xb}mdY!TZ766YI_#L~i9hctC#Tt4&yX zgOCsRnW#m>gnOE^iOc@@#H~TYGV*}z{t_94+~CXQP02>7B+oWhF-T8trAiU< zC*gN+?WBtaUVS8!KTaLxI2gb3jeUDn0?~a1mKe&rFe{1(ZI4X=?hOe^YhGc7Z*n!(U=V56q}EMqbS77+_PLAPP(t9_n_c-aDdJc&=;yFBC{G);x>`oEpuv1V{v$a z2qk=R)V*1Z5Uq&kXpTX1F-dJt10w{ry#cfD8PG=Hrb}U13sUJs;&IDTgeXPha;&N9VuC!z$bgWg|d5} z;Nj{!@gP}nLUuX*<~-TR`eR+#E;#hkMu%MRml?!!;bCM7Gsh}fMlP69kbKa2Hm^Hf zrpb0_0QUP(JvN$bHtY)PHF=XO2*S`l;L#Q%lw|}K98FO93;u=2r6Ls0!L{!UT+dK_ zLO&d$J@)s$Bg-om3NrFZc87Egyh%aSgcz9xB0`84cPLbx`NoZhfoL?^>RqhcPD;n@ z!xeb6Mc(kQcqyh2 z?**Jk=KSt|84nrzzpFXAI6_iS zO6C0Pl}u#H(rtOL$T)Bgt?LK#vjo_&i8)Egs#X7wx2*cVPr8e5+#xGI)6_=HhHA5$ z9_|Pb#P8a0Nfni7%@r>B65`nn2~r593Z8ll!B&B&VaY1Lu>ByZ2ExU)-C-Gyres@9 zry==z@#!8`Kkk1`C+__JND31fisVwyR9GIuBA+buT+pnY8L!183&&uA&pgXHh=z!H z(FS5hRNGURZqf$HDxhyZsORzU99g(f__6l=glT z|AmQNUf=H`D=$X%U&0EtqvI(i`Iv~r&LjJI;M-z9hd>!b?+7z=U~QD|zcuo$L@R%Y z=tOSqJ0gzc0yLN6?12|e$jY;R(t#vk7g-bSv=VNA1+Y8a-UV~VZQL!_@qnpWdIStX z@1cAd@BUO(M#sZ&lhUg@9U`XM{0loW{zEAd&ll}huYX6u)45UXgj4k|t1Z61y?(Ja zK?4<~XS>`!p412XHyv!wt~cvM%O9gy`#^xL>hQN4j9NUq8Gwf#dFlJzYnG26hLu*x zv>CaF@JU%$$FJXhXfG`d(g=&rP`$-cmyL?!)k5Iw(ikq4vixxf9!$#>RJc#9~&z_08VbtGU$~LOiPXnGF+p-3EpB=aAU3=9)eGw+sMAn5sLl7DigvA`-I2U_s`1C2 z#bZ^>weC-2yUw(7Nl_0ilWXL_>3i$Tbhk_utH6DP(Fhw8q%1IANRuzN`}QD zpF*`y-UZaTPNA02v z^4d4sj{-rAicgtvmU_hs;X7?RB>$9YQ$J%Q=D9f28_nMD%~8-B*tX5I|FI1%U6d-k zY%+mTt0A*Y=&s%A+13c($p^l34}MZNL1-nO7g0^-E@^^zu!mu z-M>P4aU?kU(wjAn7lIWLx%J%3FV;WSNqk&_HJ_u%JNc!n+&b+w?PuIe>eyx-3Yc;&YZ`98ysUT7k8y<%IZy(?XRzlz1^(U0jCf>JH4$tysoa!;yQ2Gd$7}Ez*_Id zE-eL-JT`x-RUX5!Br77mxTe;E#T#A@wSc(m_iFW6g_)hoQhr1pwoIhg*t!WaLwILO z>O7&nV`9RlTD={6eNBbt7(}b}J^`;VBQt}IfRUpZcw^~BU3N=eXzk#vYsUhWw%XO#q?4Mjl z=%S-qMvojG@?Vl4DwuP?M%KY>VwYJ#qELqWMfokvb`l>3rn^g%eO9MO;hZs113vCF zWsLXM3BoOyisTKy$v_)DSZUT;Q+Z+hr=_E{UE2z$i$8uV6Uptjjgzn_4H@ri5Tyao zmOM>;$EES(28tf=91OBYYsTQfK8E^|_w$d&!ux^;>E`nBq^iYDsrvVj2<^Vsxw@NS{1MD@v>%JL`Lm^kfYN1kJu2e`>2Dbwu@hRhDP>p|MQ}aJCyx=g5-K1 zr6?qNPYsfgk+9fAyp+@&`*XE$5!1%KyN2`GOiQMYmVwPV*7?Uek@sNuo4AKud_i_9 zF(a5IkU_36;e+S850IckBqNRfOA8XU>Jn0=ZHiD>`VEL>nEP41Y8b=)>UI@~_V(H; z?t8V3v?gmcSou>(YvbjP-PnHnnQ<;3?dm4(SW>W#{vno*!I`2e+@j zEooL=AzuDS2%PPgGayYLu?z-0EkS@SuH8bXh3YE1KCv=Ym?YeV7 zC*grkq9zCcRxc3M>{5$45miT(e+IQyJ>pggp#7Cq8%pDUxgt)~usfxNXh>hysViPR zhzfTD>X7^z`T5Y(SbaFUt>TQKeJF&pq7scS131mfBg9N+XO!{18#`r0XsCwDlX7wA zsy`XTM-W-#9;hdY&;uD#76^JxDTV&) zl>fkmwJJ}({~O@(ANU4IQWeogI<(|SIf+|)K_}8S9l?HU=v$>cv&BQ}>LyWn)>H#@ zMgSV^@^M)Zigw*Y9STMoxp!+wU##~a3+`zwrm7DTU9cbut)M`%{X@4cd9=*iGRpo1 zdh5y+#HIbU&Ezlwvm+5%5~U63WOFXiY<9tamO1*3MY;BW62tm?G~T{@@+Ozm!HJ0p zqG3(%Nrz_=8-gQS@2paEi zl-Q&=t_>5=Halp&i}*?+i&c+4EGAJQsY4_^ulcc-C&7PM;ETm^%yEwUYZB6)f$6i?!F;W`5qG4 z+7#15pHUWn_Gqb~n&x_q`w)teH6RM8MErgSnjzvHiFB;N)Zf-cXZ# zuZIZRJEZN-avE6QG~w8fb>Yv95>lI_j}ry^quO`(9_i zl>i=Z08yPmIxI#5dBVH%`~6@|qIL2yp){dfQxna1jm63mYXeHSlaPEm{@@n+y!L4U zDzP{jOc6-357W>WUfqF6FD(1x$E(HLOcg{6rp@HsdPC5QPU=6LK=IGi9DGF7=MgJx zipUCZgOWr;KhX1Ghoq_Fn?F0oYd5#0QME%v%H@@Zxac$BVvuPQO6G+&3SwFp!mVw9 zH5ED>x5U$6YU&=4fJkYpuK28OYNPhms+>I^rnykix62g6ik@@r`_cEPE3uA1`?jbop` zBRcqH#Et0bqMhFD(1`fKrr}~@jP%5{I{50-&Ri51bmmNPG$46s(6JRvWCMeGlb0vD z_8le@AOS=;0By1kn4azWp3fn?+@o}o59N_XO*|b=SL*yd$NHc3D8G|LFNw6M1M<2u zNDU0!cL}r*Q6z!2w2^n0;(R9$$oz}i(7Q0z7Uu=o*tH>_#d3+NXr4QV&i{Jff<4|7 zzA#-JyO@Us-#3}ubV5Z9!m;4>T#^FF#+-Y5drO0u4^}2q^B;o!LK5Tr(dSQz>f|)8@Z(AV6)K zncrall&GDKd144v z_LacOb{QXz@g@p=e7p7)xE0(!Jxy6dS&O^vn_g7ZpdL-KHbt-T_awE28y5{$7(I^H zaV7|=!Pvt-(*Kb9m4xYn>3c|gm3KP4JWqfKk1YDNM5QQQQ@F99Fk!Kk{^Vj?!NNx% zpv7tVxTVIfLBO~R%ai9h*=V)w?UCByB47C3oN~pfW{Z+P_!@vC9~fO}*dhVLhJ{8l~Arx6*VA>GJBU@-&b z4)?PgmFI^UU@~tnI6Q1;pxL*8O~X)c>Ul%ywjsd{gPqF&acLT4Im94|m4g8IfIR2N z5K~Mi@&3ev_ZKcLg5{o77Nol~k&=0j6_-xM9Akm-;?fUm{Jtt=m-HH^T zw&7%rQ%j2kY4?uwr4*W&{WNW)<72807g;#pDe3~K#Y0;@O9Jlq=His}pJ=0cw9=p< zO%?SmJ2g49{?Q*ejY6Db)%y3vx8MhF^0-NhgjE z=Z;ihZ=fpVD@6mrsM`WLqmb;@kIxMHA`RvbyrPK%`#&zxbiB(8ra(S%JNz{1*2~}K z7l!<`lFn3oEBQ6)3}LlPQMFcpR%)lBTjv@lH<>2F+;xKWpo>0MwNiU4G-QTt=WjAht#_#&n@q55=ZHCXa1$<{4sk z;Hqy9{DaNf9660>!X8r`3}QMLP0*%kp&u<^!?OlRs1yEPrE+ryu|FNhmUIy<5MzEa zs}L;0T_>FnKJv}1mpYw8i$bf3xP{eY6^cTD#nV7s!fExIyFH33qdX z@f3we(EOq#iq=a&4@^%0&t^IIp)u6p8Eo~~V&MdJrkWML$6q0Elds|jl^LbQ>2Kuh zlpTjJonw5RdTn(?^6tZ49A*NmA5X55g-1fqI*Xr10`%jQ+)~}1P9>QZR~@pr1oOc3 zGSfbuQhSI+nnAP#a7kG%j1dokSLUG+?v>DsPiDM{SKql|@j9o!1#2nW&8c%T_^Xde{X3pE#DWPV+6^a%m0H}oQ4vYw!qiZf~a zF6#6m+Y%sIFv%-<(2{O(L9Hun>*mPv|4uSlC>^5z!!Y^9^9B5OGuD#EkZLfJz=RsY z^WSmw@gqqT>PdLk!^49wzd4iA8Pd)wo22A0a@@*pIadhg3gd_e)RybRivW$Kcl^1%#CtV{sQ}QPb$Z00; z){JvhD0w@{4rD+!Q>J;ur6J3)4Vpla+WC31>G1`voudDeOfz)I=9Pya4Ryq&%wXiV zijZ*|;@S0YS@As@ecsoqbf@jND8B-Gui48M$p@>^Dm_a!XLBQk924gwdd zh8fsAehMEzMC{}YpRnEAruRVY0dL30&T+_>Y(OYHbzWYz{sm<_IBoP+B)c$JyZaGN=z{;0S-@qG^upG?p*2H-^ zpk42@K*i$8GC;zsy#~sba(PEk ztCt_ad*{$T(9a3&#GwWJjOAhQjt?5!<*cVDi|I~LBE9+F+7&0zrUW~Q)bLf*4*B^k z^9iYG2h#B2G*!6RAkujG+j2MLr}=JW7GD$;e};J*S3WvTTG7?o(x3J|PEwm}&Ba?$ z8C%jT!ax$lcne~{fy2*o>&O|z4zEddf)dw&7UnjP$ujXq2kYEt0kn2d;OR&$30OEw z+M{UCpN8|Kp? zS!oE-rVx@dx^+Yw8^3Y}4hhPUZj=WtP>ZW1rSZ(FC{%mTpnXS*hHz4z?Z2;%JdDc4 zhNF0}2_!WYGH8{>OOqNKIu`dCJY=I2Z;+y3h2yRuKN}#qUm^K+=$3T5_NuPk$N7aJY`qFIaDq{+I+N1Jcd*- zG-7{@=R|Fja7wED35jI6g=&wU|4f%4Ft+`j^H+C(nNq?-ySia#*m6bw!ZxEzzf{gG zX=$OK@qCwS^)C<2S3Ekc=*_pZv}3JGI#@IYe`d9w0OcA>n0WzULKBXbX>Ri+94zw7 zW(;#w`zqki4NgeY4J16BN6RHxGImjGwa2iNIwAQbBoemO=q<*(o;ZCoxzGif&iA33!E-W}dvyAe&~xt8uKRwHT4WjJ`*S>SGXL0VD95 z<{<0#D^;e8UY@bAVo()eYgzvY3IkN`0AVl{ZFy4L-Gvs7X^!L79hL$IHmKNhNhBN& zG=D`$*_CY71#AS)yS5Er9y7I+HK1!qonfo4xd{d`30|aIfP#%?{*spetd8eh%BCC~ zQ3R0;`zWwaYMvQ`Csx3XBAA(Le+2Y`;?TJA$e>3_pclc-1pSc6b6U?>Y9bYdR$mK& zA5_%pQcTgzhsY{4X2o)cUies?5(u^-ustIJ88Jh5_8qzUKqE?;)OpfTuhR0JC#i|t z?(K9!0QwIi13K*n555JdEzY%JdL;8nX?kh4p^(8ttb?RcDGJ>rMhK?l)qMOw*_0M8 zhBo`SVAFA3#gv_d-i~zVIz!CIzoTa%|!eO+~qu6T4H%I?&93W6H)tsBx7t0{q^osL^}%0;bOpRr=6-Sc0_IXf4< z21z?aOL-yVHu!ok&^tnfV52M{f^8^*UpksQ)rvYDDS>JWK70A|4y8Qom}Sb#Sy0zb zq5w~b3sn4>`7Rlt7|y0*N*B)1I@SI20ewQB#usg0eEONllJG_FpE53ku;JYP`*Ms@ z=k~cJRB(B;D++h9zI+ujgU_IJ@JHW*%$HCX1ay3TN52NLY*TpG329^dTm^fx`d+5Z zX(K|;yBtsGDIs6LoRS|B3Np+*(c63CCP#HUwrL=E#{kK!R>%}U0T9m{KSjvFzpUm> zFF!@@M5r!#6ZLBDjStVRd^uD=Gy(Ak(1#~1eqiTlUw4=-p;=xA9g8R5n?Erw7Wu&P z3m?dzHcRCmU*;FYkDw{Za2d`r8f8PmjNoD0ww2EYO#B-}2cMfp=7S$PB=v1589Sa5kjERpJu{BtQ4>zdd(D{H$G{WY1Z6jGo1H9bO^SU#v!X@MA zwF+jxiK7dB9TdbfL-~6BJqkFOBX@{QFX5yQRVQeOHyFXJ`Orfk^2Z-2`bD?d9@ce! zKEY?!y`t62jK*Ie?=kk+TB2w2cm+;s+z5&qp-C&oh~_-PKsrIUP`?kUiA3dbG@?P2 zBMgXPW0AZ=*sz3)&!j>?B0F@`AWM@FJ|-KPn>CL=D=Z*9bRTB^l;*09LNA;ep#!b` z=gOGDg4~E*Q>B8-^AR;Z6o+JsRWL`I9zGa(Pe%2xNF7)Q5_upiCF@u4s6Yw02&{t3 z71G_&m)Yp)JS8d9<5M*hL&cG4MhS#8ard$XjOEp{EDYg_94!XLsep zcWjRi;6mdrhL26W5_-XlqT`f965p zfB+iuIkL~KWeK~jO&RSoO#ep_!c>NGB75>PdMF*Gf`JQYuUi{!Gl>A8A`uBW7#``4 zJ;hZGK5nqG!`8hx*k*bx4#&z6;VMWZ_MjF>#)DT+N`U?8Oy&8z#1QK;L7OZS-R8YC z@%_K}&ga0>gcl~Fnq`Zl;tiA*B*Aa~FQl}i7^ zW{{$Z|8tJ%!;arn)TW?O|6?8Jm5=pC5km-pSAZ-E#k;txb?Q&UwOYhxwF|P^L{|Cnz~EWs65&y+NgbZz z1s{XZfgq{{5+Uq8ID}5muh+r#B!QanDkZ5pi1-9p!Tv`5wkQ=8>*jXHi4sb?CuB$+ zEPf`=#1P4T@Shic5K8Asj5CRDb?$u(3O;Pd+GaDK`g>B3snt?eBxiq;>IlgLaPHeW zk(cKhN2tiRa3!!KWFH{*;KiOKYBaJ@#~lh}asHecFR}%`xgk^cpW`3f<&C@}{j9Pe zHtoop(g&4Rv_S5{u2KZN8ovtQ(7DYQrwXxLs(3f^hvD(0xup|KdR0#WjCxQqxsHJG z4m0uRn&Q&J!UbUnGa;LYsz{dzq>j1v>aJfg)2+;uYEUP9&EHgXK9N2T3dPG6bmZ60 zfb^D?vfV=RoGSOZl$CG>l$m_UO3ve)M%8ak>F+wWoTGCQ86(vE{__{oUax|%22O^n z30*vWcN}pd1IZ$bk5zBDjYB!apSoEFx5b6Cf{E=D&g7+EM?a`8yQRZdR`EhKhoc;f zd^1Nk#UDVBx2YB{TjrZV-5Dg$cLdJk2Lvwkv&`Fk1Gmzj3<5n+0q+=b*OElq+9sl= zPzg0zim{a}$uiSOc6X~KF^CY7$`(#F)kG0Oh%^-mN65Y$)f~;KM6z@c*^}i&*&Uwu zSNHwg_jTRRf6qV9b6vN8=DH^5IOq4>KFj<4`to%&Lny?EBFKd&&8f_1nqI6tkV1Mu6c zu*25X3kC36Em~@lPNxqov7H(lw6>aUe|9;z|0vkU_mA>E?1yq0+6_W9`*rtGkVCl?8VDGFg4+NUR zitOFnP~n1v-GI}|aMB*@h zseBJHNQwpdlGGCJNfBG}f0OUWscg~sT+xyDmzA4TdKTIBW@7=8h%a(4kRMyPv-4_K z0Ym=a0@($3CfDpZb&Pb~72m7<`t-N7#(%3Ve$Gq^F5f&mRHoL~s0bumu6(C!a&noHt{#aC$6H}uMxh`Eif%7M0ZMn5sMZe5v3qWfT@e0X6gfD{ zQ@0i4#{_j0`V<6`tcxPjoAj|c_MX7hF*L!&QIhG0EkJpg|!zG7_)I&yo0fO)BDNbfV zh|7~*mu{}$r_PqF+yq9Z0nTQ`#2vf-TqFXw+Bc{3MGMceE<^OpXUyGq>u0si333Q`8sB@KH-F;VDI439fVV$BL`ORrJ~u9APp$R$m7YwfoT{tmTO;|g{^HJo}hdkyqq@0 zs})DWHBvARx@^QPee7*(RbgF}fe0Qit1&0P`0l_VDIfs`mK4Is5UdUx zU<2wV)5W^GaI#-V`sPup%s$ghm|>9e5tRn){5LV@p$4?K{qRh{2z(Me85Lp3z4j3M zJBS9XNF!-DU|@%bi8Fi23ItVXyTZi|ljZP}Ht7VMi?m9|MH{GndF}~7USd09rDsV` z4_Whn2Wq%OZdGJwnB3T;CTAzX@YvxuZL=|dU|4xBPWBBNHqvA}KkVZL49E{NP5IH7qIE|3)SqE8vNhHd6rCOi2sM28ev&%MAI+77oPpS)4%f z@GsFk!NXBr1F}*Gi$;hS;yceAC!^{z3{up_%aYKiO^LPW5z6upW<7n{?eR~moO&sH74z%?U zUea>ev9b3K;fU(ZrSWawc4GmkweCTsbu$=#O}T)FAT2_FpE!|RsLcuZxP3WOpP=K8 z&d4z&=CK%SX*hAQxa?4tgym$Bh%vg76E#CV3?m@+;DEjXuV2Nf1m`47>d-6a;hRX* z6q)9W!}{o6qp3Ri(l!!PddI0fm7vw|oPpA1E9H8Q065(HGo!3M$p zMLDSL)EddiWz2u>XatNZHwOz8>C;~gUTbDq2%-FmV<>tZA0_MX`2z_Rw0w0$Uu-8Z zngz)XYyf8#H)dLUt*Zs+5si0b_FK;uZrn(H4kRdvp(0jwP)zCg5m*YbnZbEW%Ez?b z%23k-k%4TUz#occM!GT!UYIVXs$PBzyK$Aa24_aKdBa4W8=&HnIva#wLB? z)LD9w6MQAwEen$S)YF#H;_K)(aBedf_aW2FDDfbSl1rk}#KHuYmIrnu344fl_{HK; z4PzC0p@odxh7?yQSF7}c%x-KTFY&lhF(Uw|t<;1Q0F5X#0N|+HA}!_=d0E4T72i*V9De{F9kD@hbpxvGI%!EqDb5K#L4mZ$iRg!Xj93?e{V;^ zI<4$+82d7F7?BqmChJd`kL2FQ;)%}$g&QFT-5?T?XDWoJQZnaz`Us;-QSl%b*LRSr zPKU%I6MGwt|%*U=`!W3CEcU0K?3;18<1Z8k#fNO>VP9XTLOCubiP5;&Grm-QIBDRReB+!mKx&1s<8;-_ILPy{s07*yob)n z9xq@8?O`^*7X?0=Vwnor3E0l$z%|C>qM{qq4}n~SP6yQHz^r)9v7O0Y=c+=v)@47J zhVcs=HRD?r#uGMv-S_Bp%vmKaV1;l6vOqvIF{mx^A;~-PGE+?{lx!e8^3dK4#MMUV z|Eh!a5h9KZ0w7*n`t6WRFz;bD&WH8ly*!3{4fiQR;rH4zfb|?*HI>RA1cUE zh45CPcr&2dc~b? zu&=lM2YnDvXeJyx9ORwEGGJZc*mr+kKP;qzksz!?WCy~}$6KO~=bAvS2c}p|0w1*w z2Psuv3D-2zVR3WfcC0mICg?r*0WW%j_7MrOc&2f3z;{XtuFCp|2$F|!SWxA=3p|*k zdyS+ZHv!0xu)0n<{%sjO@8EFHN?H?`UneKp3APUvasDqjeF!$BxEK>o_bp~?MZvLV zRZ!p^|NOmU3{f8{G|2vQ0L6U~A+BY3ZE1xFvcv4BiUtBZAKmBVQ>G0(BaOluXM;B3;MO2%0brQ4tnIO1x(A({t z^@ZRbr8{Q%IZ7o-?985Ta4viMX&lC=)Fbdr9)o$DTHe(i8#Og$FJuR7(_wEk8b~3E z&HB&`p{Vx=1c_)duV;)HqOq;lr`CKNmCSA@UYZqJ5tPbxJrQ}jXK`9#IWU#u??Vlu zs(0=i5L5@aDI+&VcxAHXI^{ns+ygNwWB5?_=NBgt&@pWUfVABzCmk`;OfM9PlJHC1hPnSZad!p1UT4ygz&UB*sA2k#%BqP{`>$X+yH?-?9`Jz;%%H8D zHIOTVjrP{ESjoXADff)#)Ck~nWhDal&m1r5j4O&{sbpo8 zSdtf`1Cuk_z#R6j77}g6RYs&TIrAkp;TjMpweJw-7HWU3>9}ysug5^xI^*UiK1xL! zBUV=kFb;~Ors0S)9U0t^dfLAte@oZ+-&iei3JHQ#Q;Kj0+#`J|d74;`X3FL^Xxk?b> zu(M)A1tJ=iA?B7dAW@y!8ovs3=SEZ?0AX9NGj$B`95|erm%&%I1)Gbf=R5F~^IJ|b zN2Ov{zukVB-vFK9zE&+16K`&YSBQD9NAfAu5UlwWp9xdEg8qUg0wJq8- zrR?%vt?uUg6p2R-GlY$*V}DJysPXlwxPmE zc8U^Dmp3@138gutzcEW)OWgpaUw|6mrMK7n@Ip=oW(E)K7pYWNF!Vkn4b}w8nL0`T zJJ~w>J?R9IkzPcEB;zd|6ToC4T)XtUB-4otVc8MY7k4Sgk2OdZbQpo(nA+(?TMzrg z2&nuzx5Rcp@X%MY5$mACw>vsCa6wcT2rOs|FBVkrfC|+sUc%fRV4Q(&H78?I=VFS8 zj4RIDlUYCWMJEVS$JSuFQ+{(?tc8$HKxUq-FGPsXanmoP?e^>PR@+| z6~O|8k1=VYTNrO?h+E3@|5nB!tv=ySuZ_@#b~*^mM`MaEMWy?=TT%)^LVn zg80dO*+S|*O1IRtz*NkFz5|*J$h) z3|5a*Nt64U=;s7#bM)24)P7@XAr;nKd!N;mm)9w#>6#u|K08XM)C2toB}RXuGHg+N z9%wqC38i(H2xCvrtG?pdxN6@F5o!h8o~yp1NitsEIO@;Nf#({qG}o-l%Z<9={!U$49L<#h;z3BQgA!+j*T;32t)NwLhPu_e;$A z%3CP;E~Q;)etI#l?TeA?-21YU>B^lPU;V)XE=7g?LS9+bT4rEm)Y$KqWkOVRs-k8id5hXmMd^Z;T5bzExyPGsK+iS) zCD%y`HWKrwXnkrxQ)l9*+Sb<5DR9j}w$Ywu56M}kni%y|OH52sv^xfPIG-xP_&3}6 zhTHOo9?R{>+tJO#8xgr&71y%6Tfd#>kq=l2lW)R{Z(C>ok>6J}N8fAnXv5m}=RR=0 zO>Dzu5Tc%e{q1)=r@lJ&zNR-e7sz<`HrTfZFNx(-c#!$$`BrjW$V-L(AbQ^RwVJAy zrG@=15C%YjX=1{wAx2fa`Hn{E+5|K=7c;a^Y;bYw4;q@Cc9UBWJoR>{cYMG=d-zJ% zm)pUU0k==>9hB(C^(9TFb&AfFR~;MaLp+le=N$VRP)f}lv=7|l;4t3yU?H{U>P|!v z{Fb&;dm-;p40eB;;@Dc+^(kGDq3U-M%pXRWYO-O_Lf_8HA-P`!TU}s)x&E^HTP2^=Ec!ew(K^=zcft(ZV?V5$N1>Ua>QcMRK>?td)B^CPOX_*b0 zk$R!7nuc?nyPd@MaXD+lB5HF4wUj!s9+7%}Zhyqg=gWCQ=eIe1J(~sHkEqAT61KnF zqeT_yiMV)Z=Z`B`MwU*$SCp6#h}$mb*H|*;q)O5JB{9ff@7Qu>**W)n$KBtVTPKd) z5fq#Axhi4H7ZG@$vETy+&vw$#vnMTZY^WrBkc;HKbawRloEAmxx`(MY zE>s~TRsYHsefth3#6Utq6Lc^M=B5_;VTFywlm&I?L0yPYIynd@ZYR23f$Bh8_m z$`m#F*ZgZ+PQ5iDR!(}^SQC(wJ&*dA2(15$TtK));;fPZQBe0nKQ;J812HTLeHb03 z-{DR0_8WAwO+XidNVs1>zdJRfi9w*{_$^#R*{u-8TM~1HBnv8jxg;n>=4UGZNvLS& zZw)K$fZ*qWK3PB;pyYNu$GvZSe&Mh2l8%P83S#!;ho<6p(iu* zo}&2O@mzETU&ELmG#3U_c8`O^w8cUC;W)`SHP0jElU1H$)8h*$bL|AYC;tNI>rTff zBt%J)o4dq)Kb+$i?J?U<7AQlOhmr*hwXs*TZPGN-vFBBsW%*gZ-B&*+V_^pF!k9j& zAx_Awz(F?ykX}la1a)RktP{ncEu(0W6SglYO2{(D(ZGYj9g{>_x@x38D`{O;NJ8F{)EGN_0QzJ{xUP;V*iJga9iVPwLn+u#_zvopJMntj_o7CbW zm}g5*l{!}^EhAD`@%f$qU8rLDO_+t%4YnSC_o%d6-ZRbj2a5W1jhvQ$4YV!!FujS6qCK7=2;OnOd1e&X4L2W@x}^PD4Y({8_`P z55%pGg7e4a*uz6*vTYNUYFnLO-#WsX4LEk$7MrLvLL$2rH{r-6?iWb|eSQ6=rluUY zm0N=6xWw?5?}Z z=%B2wH5Bmm>(Uc=*L=^mq?DADTW6YF)+#@p+k~4Lui%T;T#)6pi)`^}3nbT4MoJQ6 z_m}eVGR|+kK%{;|a!2_;0t9+hx&FR=`yeWBPOtXB_(70_PVM1BrM9Vt0#jcc`Wq~k) zNFx?K{VZcVs(ReaY@Yg$2-idx-~K;GB{_4rI{U5Y3xlQ4fi4JcqMqq5^q=j{{}%#j BRX_j$ diff --git a/dev/_downloads/5271bad998891ddd195bf7ea0e44d844/biomechanics-11.pdf b/dev/_downloads/5271bad998891ddd195bf7ea0e44d844/biomechanics-11.pdf index a3c07383b44679ce7c1e31cc788ba94760b7a705..008db2f4aca46109d24d26ad6e5f503d604fbbc0 100644 GIT binary patch delta 19 bcmdlIyCrtRSuHk0VXa4ukjj4GRXa4ukjj4GRfrLl#H$z~;09cBPT_63;$ diff --git a/dev/_downloads/569497501b2d3eb864ce466d19b06017/plotting-20.pdf b/dev/_downloads/569497501b2d3eb864ce466d19b06017/plotting-20.pdf index b57789d0a5e0968fad514e54303087f0aa57800a..c08c8e75ee9ed35424bba7aa10c77bdadcfe48e1 100644 GIT binary patch delta 19 acmbQ?Gs9;?kusa1v5|?1#pVj-1xx@#X9hX| delta 19 acmbQ?Gs9;?kusZsrLm=f>E;UM1xx@#n+84r diff --git a/dev/_downloads/5815ed289d6d66d90e420fd31330fef7/plotting-28.pdf b/dev/_downloads/5815ed289d6d66d90e420fd31330fef7/plotting-28.pdf index 5b0a95cd69d03972d8753fad0cb1d369d33fd393..c7aace31d48316493c3168a1a60270fc8eb92ef7 100644 GIT binary patch delta 19 acmcbXaxG;;yFQztv5|?X`Q~2zlS}|n+y_wr delta 19 acmcbXaxG;;yFQzNrLm=<>E>SjlS}|o76(=U diff --git a/dev/_downloads/5860560b08ead850923e530e3240b5c6/plotting-15.pdf b/dev/_downloads/5860560b08ead850923e530e3240b5c6/plotting-15.pdf index 1fec2a8bb61500a4da6166263a73d7996151486a..1777333d77abf102c1b58ec7c94f04637378fed3 100644 GIT binary patch delta 30 mcmbQZM_}R}frb{w7N!>FEi97KY=*{0CdP)_<)v9ZF#!OY^$6Ag delta 30 mcmbQZM_}R}frb{w7N!>FEi97KYzCIb7A6+k<)v9ZF#!OZk_hMk diff --git a/dev/_downloads/5b5c816080a45343f1dad5a63189ba69/generate_plots_q3_5_1.pdf b/dev/_downloads/5b5c816080a45343f1dad5a63189ba69/generate_plots_q3_5_1.pdf index b8f35778b646a3ecd059188b3b76af7016df7df9..5746fa9678bb4d72be4f5224765d43b3abe11d6c 100644 GIT binary patch delta 21 dcmaFa$oR66alFEi4C<*bI%0j13L9A5UVDVg>-fi3*wk delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bFR<&5ca9A5UVDVg>-g3JRzI diff --git a/dev/_downloads/5df88650a09035e3e9902fd44e25970e/generate_plots_q5.pdf b/dev/_downloads/5df88650a09035e3e9902fd44e25970e/generate_plots_q5.pdf index b6fb2378b0a13be5b2ba39c02e24faa8d28b5ea1..cf0fcd984e614e8a82394e53ad8b4a933c63b700 100644 GIT binary patch delta 21 ccmccGz<9NRaYL3ho1w9hk%8&v0_&$N09Zu_d;kCd delta 21 ccmccGz<9NRaYL3hn}MaVnW5$80_&$N09d{UivR!s diff --git a/dev/_downloads/6236456dc31640e622c3f943842d9925/plotting-27.pdf b/dev/_downloads/6236456dc31640e622c3f943842d9925/plotting-27.pdf index cb3ed8861b62fc9dec2d2939e59387a9237d9a59..ae20e70fe224d87d0a8a118f9c956e1fdafe9cc0 100644 GIT binary patch delta 19 bcmexU^rvXUS~E67V7{ zaVfkDq9Cg@k`P>d71(8t8rx4^6H}<$H6v#-sTSTM>0dwhLmc6Qc}4|**RK6QepZ%6 zWDBZIZdH!R!b7MTkKy-K+uocERk{GkBve`%A5vB6-aXAoZuH-6^!@v+d&;cM^n&Ma zZO>lME;h=>Z6$^>Ks!D44N%S_C|2Hq+BP%hR&_j|Vv6u@fxQ#wT*rqNp&LsQl0=pM zR#tlCd(0Pq+e&90N9OfJ@sTE@F^i3yC5w!L>)n4-herTlY-E{bC@U`B z!^?|4)NYe^BWta|(AAAd{eAuwM)JpmoTip*NEs#JB<4{oP z5WnSPMo=c33EUC^iSOIBe0@m^W2C-U@Fl=*dNnNNoTOCmvB;JmFOY8NKkKC5Q>4*4 zJ?*DdIRNCa+D{Gp6QtxFUncrkvSglb@ItHX)vb>ESI2_O?c9J}tjP~8)%VfY_y{-;+}1k#E@A z*j-@+Zj-BZQlzi?{c$Fv@q!jCfHCpqar;ll#pDOQV(OPyX(?KDbv7?$yov^jlJ^Ze z(vy;01*h6Ovl|o5j7MeXVyvx6??Uv#4(_kZc<@!QVQgn-H}8~4^Dwe@q{M`@xlG#q z3(XFMX7}liHKe}wZwh!dv9|e7yLSsX5TZ}zh_hy0t0MxAg>S_-%2kg(c=}f zv_$15ej$@ z8!uO*tOHUOQHv73*4djF#UIbi?39ZDn>Q~%GQ|8|39f+yoB@fIE)vCtr+U(z6`9zb ztz#@vH}8BxY!3b!wqdm&8}W+yz~qE@PPkP}nC3=!jPEqw!p-8&9r{G)W3)JKqmv{fw0UZ;kZ!>W@9Fs?T+T6}(yQ2GISUSL zB@weK{!nFm&p=NceI1?Rkybisg?H1B6((I}Ltj^su)a5hwF;}Cqr^;g^>9*#q#=ad zI^$RK2=9*VC^3W4{#U_UbY-f1k0*^ghEB_haA0C*7-Z@vC! zv9805Ha+FYJSA5Jd}877jO)XIkGRh}O=-K)Cbd5H21C4?5g zt+g_f%9#Pc?qGGX!rR3*9>bl|_p}t=f`V>eq(Fc=ib}4MD{V}Vw3w{Pk%b+kHznuMd0^P!dgN?HXL2EC9E0< z#$X8}f_*<>W4t1bHcyHf>}3BRK6e&bR;dQ>GI2Qj9^PtNAQ%%7(d{o0iSy9~?+6$k z_fX=_mYzcajBWPg`T5gLo?{nROe2@fSp<>0OAPjN2JRNj6lW&{kt`#dJ(H10f1oT4 z<&y-|h1)MSxE3*A;fXPuqLYL>2>?h z6x^I{;(GCxTa~NvPl=pgrN__bR21>c5E5TA>Xlm8CnetH6+^K?veOwFlHLYS%NCC2 zA;Inqry}3zOFqxrRPMrQhqu@E@wZdhdMpVLo0E>%Q}5dU&?KWr-_Z(oUW$vmOao zt_JK6sUzsF#MJ1GwzgsHq@*z5Zfirs%+R!!Am>xIze~Qs45=H93AqM zU<9rDl$KpClYd=+jMf#<1_3rJHju0(3lQdJ0gZBjjRrT{zAtKUfeibRfq-iT{kZ$WbtlB;&=XEl_#qP6m5fF1S+W4u{@mzFt1v2;-2q{soRDC% zkZ+=AsmKHpvY)0>Q0WK~)uphg7x8hog5*hC8Wf}i!U)Oz7=6K9$1Q4s# z8j|9oCa16_!$C;?u2w8y@N02uUFTj&L$}Ct_A}Z5nP;yrCZbW0_xu`6HS~CaXS~+q zS06mMvlAS_q)JRvv|Z?1TkR+1>sR*^{gVJCY^3sqO;1ewv)H>;@CPr{5N_|+sif6e zQpWB*MW)6OBz|#iK|<+I(LhZp6%|fj4UT`VDP8^DMf&+!k27!%l=Kmv_`3RRS##qO z&m!FVpd852nLZel5n!pv`pXhYDPO1d@Z$oT4UC->S+gMa%H+q-GO#S85s5c|@t5M% zO7lkpr5RLIS%^hh>-L&#&B}3ktd?e38ojCt8*@%M;f789Lko6%}99Q?ks}nW3Q{5KG*#{ z+VK^jq{PJbG!bpP%hG67A9g2Mm^K&>Mb1P0A-~!qKb?+<6-H}B4Pk?qELj9KWn>8I zk=-4CzJGVheKaVIAhN=k45m+RVBkJHjHSsuudY6Q?xG!gq{>_<#L3iv*vhf?(K^!B zN_BtcauV1yvCJ~ivlRAl9)a#wc?B{rb4$kU{+)2nRh_&6c8dN*mX8GB9?*a6P26`o z(v7_I?aZ#-1!llY&=;AlX^Bsej3<$x8W@d9urc+&e#t_SY3C^tPapX&;p+^)eV*oQ z>OR?#Iw;tu%LU}_PBiOTXDeL4B>mZoS1^f#v&XThoYXjtZ_fgPXY}+4)?M9O-<_Di zw|F?LQCC9pATRsD0A^rO^H13ey;>`+Oh@rl^4F4TLRs64V1qI(kodB$ZaEF-wb8sp)9M^W zxGm%y@3EGatkv>oLg-wKay0ggF*oO_o)qhY1KYVc7ZOi0l}RXYoNj>7hXtj$qK zc2+SlQl&lV{S&>FX~;cfMbvpdh9_ddB0j&+ULl->6$R-)y!D zh=Qe%p*!}odhRQk?+X{5Y3?K>*`=pq5+BH`Y(le(CWmVGnS_)|4mwZX%diA zi{zeOZ4N?S+g*|p21~_5ck;`0FM4Qp_QL#C@}XD0x9;5)ZrtWEI?z1W+*E1vOu>XT zoM2ed?Oy!QAI{efY5CDIq-sc`Qh^o+d9Ik0(dqKkOh`%?i>^_{&pA6Nva<6-oFCCi z)!G;naUQk9n$Wzn7&^Q1vVKvS8%N8+31~?(88}=yC0Q1#zoSt7p|QKWv@NMF5G{-< z%mDc;md^DtQui2kDVSvlshY`pT(sCk{P1D4j!*R@eTtlPZ+w*_45)xcp_5A&z0Yfu zf6D0nLawcbZ0t^G9KB?V&xDp@eJ5FAX581c=*A!kfS&uRbGJ-&Zm`#jL(mT@6){-H zD|#hOhH!E~7IS7|nyxFeVu(~3y^6rQ$HWlg#d~Vy_mk&P%uAP{14?DV zX;|UR2D3SdylLx^z?Yb0LyA>gfYezQh6EpuFZ`ZLtkxf*m?Dxc4ev~|)kaAGRg!q= z5EgGYRQ9M%p!P8mXx8rq&hGe%NkMzmuDFzVY*)$!)WV|5TNmILQ7Fy$cvx6WFFaxl zJt|9xV3ypZEonaoR3)0X+DB#0NvPQmhsgFP#cBt^y?aSAgQXc(VF4jiW%h2ISr5;XXn)JZ)LBV_y< zEa>dIxZN-P@?RXra$w(zfhND?$&5c6HEFa=b9cDW2vaKluby& z&EG8SZc)OALN_zUdQZe(i%vMm2MbW;oeDZPvh(znmZCEdu;%7S@ECn7!DA_N>wuqA z5moN(p<|A_I&A#+mKokXVFK)k`9Tbu63Tb)%M_JKRr@Kdwd5WUs3_GX=mf^P4O9D$ zgJdz6_YHKEk_N(Uv#AkgK|R=>Ir-z6JRw=uId>^HU%#hCAX0^00q#3vz1!uHW)r_n zi`gG&vc1D(F_UV87wjWUPd+^UokoqD69@)bT4gt0vfpsA|EWv1Z*+zvTURk(^%Hb8^%vnx@lCv`^8=d(s`fYUflrtI*YT@_BxxdOE>>^5R(sHYN%$ocByu&p9KcRfkqj$}pDm z=>7ZCE`d{1aQxf40I+FZPwea@gs@~Ex48h)SwGGcptth%A2Z?~mmy)dsfLtQhhyuBx^ml<|~m;iZA=y@?0;VwhPBcMvVF08s9)uY$~27gDBEVUv8EN+$OpGA-c# z1k90Lv%SY(2x~t-c--!%cm5tXky?{_jC+mhs9X&G0dwUqmHBb8r*0Z(zP_eDBOS&X z3wvM-4bg1^ONzok6}*HZwszwmB6e-7vt9?p#I~rsUCc@4J;H&{g@^>h%_b?zCfofP zbK8gICBaJy11;3gs`yo^c+*Zftl$O+FG?4LbqHA}VHL)W6AXv3NrY|7!rK^3g4|Bd zB`P`9=ul!}D$PSc%eMbh>d*Jfgt8$Gl#^bq!jQedgZ}~drKR+*mx~W_U5MCmx0HN7tF!#TUrpFS>-rb zKp?1vgoLChxaaJy*R-hrxF02;QZg`L&=%-@^18P6(~BNIGp#zJzHDz~;7tA2Zo16T z)E13%;w4S$^Kx>8^?b9ka&oRoxOk{@o$Rd2xGc&=s&k)NT^lr;&q;OBtFY;LxBYi- zccW!~b++HZzfBnD=~)#M6BD>}=iIq-+utK99!r@v=B2teD-;>(;!2wM8$}sag1IH` z{-nGO_T2r0bwLoavtc`}J^g&$Z`oR(<*aooIX6ww+hOKY+DM~s#g$jj>Dl;;cuajx zIJsU}8$;H@oiHYJ864d%g6#)Az_`@YT2X=oaw*1sk*}hSX z`wBO&OW+Gj*wwIu_P>VST=blayIbXuU0yEZxj6o}-mI0Dc+A*W$tO8dCHM{*;j}p= zg|k--S~1=_YV5e2NO*QkK6LGkO9S(AXy|{wj#e(`>oT;qwvKr62vzjPWB?-R!u>2} z*i-Cq(;F-?sdAseQYTu>N}JYG_#dv`c(}9NQEjF0jZ}w#vlp+80=16EOq?D+`%X~F zHP^3(9=LJ;{u`<$_M+cv9$ZV#c#}UlisL4h2Y*=nmguQdS2xD}OR1vR&aN(flD9^0 zc5ZH=NrTtLz@6GDgSWR$Op3=EydArfq+G^PAGKayUiPCrV&GaC`>5UI zzw!0+YYl4XgTA&%o}0$TMH4&I@)j*ua|acSK-6)CEckdn**5(RA6-nf)9`~WdWGW8B^JRdc&sbaBF2L+Uk=QF6o6&lf(eur~Q z8s|NJ{8&`Pz2jLR{p{>)3;{yMakTdS-IlJ>~Qc}@8=10Cv<;dN< zdGoZWXkTZ%xM#1@hT4h4r2c---#^eMwQiSV6!Lx!y|J3>dlfu&&t-e96jux(f6hL zf&$%+D88$y=bg(TY99VsXN`}K4{>SUn(h-XZRF_e>@4T|2qk?F3k(2pkL^`^@(p&G z(#VOw3*OaMYR@VLVc+UwtjIiEP|A7d6d76B_~hjLo>X~q)YM}kOoH9V7@_T76}_wQ zDkv)I_Cn3Pym0?Yw90O+^4^a7+Wg@4MZ~w(9zIKfjVu5zgu{~+ ze6Z+$d3zzRw)Rec?)5|zq&4lDiNJ>OfEAste4xfDk3=5#fZMkAYgk`eT3QQ@{@m!h zBIia?CBFe``$_O}et!P;aBpDF+?<2b+JHVx*l;?0@b30tOF?}hj`%>tv0o!$N;0dMO%Mz1@ zeInM<(jqNScC5u_?5HUyDAZ3S7&&RsP%NPA%IJa-51AJwrle#-9jWSv?@8n$DV|(F zP!)!0maOfkpPv*LEBWZ~9dGD>kMVyB$p1(9na)p0Nl4tZx1XKbE6LAi!kL3+c24Gy zEBl9>5bLMMaC?96HV4$vA2^~rQ;NZ0`k!!$oJ=}^zYWLV91Rl)%wyp9QN<)m77u=B zBRcO}dF-q?-fMBZIEqivbayY^e?ftjSMF!1Sr;vE*#&GDkg3L^!*8!k>83B;yZ4rk%KYZwG+8B3KWCj_TP>g#2 z_;5(VwDC^wrIn{tQ4oOo>IIKN5@Tauw}!C|Zrl2=|N49?`chU13(x5jC%%PF6joLm zWM^k5?lnLOW!fqAVey zBZ7Sy?x79%VRK>W4S|44gNgq)u4R>kDagyyg;da_3j!WFLYTO*8v%SP)WoB0wD3=c z8~=Dl_iuk2R%Q43ofj=gc>fqGD=Iqxg7vUC{h$07!ZxmK;(Xutl2~{G3jkUjt5$Nw HJm^0FV@*IP literal 8711 zcmeHsc{tSX`|mTuSU;9e#3xIXU6!&$l%*77vdf+&g|Y8Mm`IVzzLq6MC~FwIQ7Bn6 zb`z$JhHQ~7%Xxgy^*g_F{yFFRp6gua{Bv9v^S->Fd6xTi->>_1-%qTezBUUJ4-)`@ z1+AlH3;+^7B5(|J@PjNkNrWHg{4ZPhn|L|-2RZoO0(uVq-tJ!h?${fGfwz49uwI_> zGUsIEqy%03{k{EEWMw`6+W;9aUuW49`ZN=85=L(wOFsbq(m(t~LoOi25XeJ$vOE<;XufCOw{3LS8>_q+%2Bi~7-hX^F-QIkcv*1)NV7_=) zW`Sw`F9`=jL5+OW)flsroj+ob%#U!k z(v4eM&duxkNCl%Uxb(rd|Kn0 zs^EK5n0N|+C7yGn(y~OG-9m92`n&))YBV?g?L`S`Y0?Zo08046%-Z#6?%qirtWg8I z;hkm$&u2Bhg~Mgm3da!uN0}e(D}Da;-N>Q_@l@=5DhSQhPI7M6yT&88D}+!yLVLMy~=^(8xuCWB0U^9jEqeJ!98)Q$w1{cDUhd43MUUS9aLpH-=Xs25hV?e0qrTuQmmQk_i)a9uoSdrN&98m29FMdCSe7^|9u zH0k8o{?v;n$XE#NQ^T%OY)@LIVn61570NJ`UlmV(JYhO)Ebxe6*Eka77rL2K8|Ior z(RU2=KzOmWQb~;|k79QqG@Yx{uz2fdmETCn?E}s_5UrA;^_W=gv7jlMAUC z&bzy)0Kh*iJQ=kmHN)z0#BT*iK{S{C_a{X8YnL6rrx1spr(q$eqJ)-5G>%ZZut zKJe#hZk8;SYbtlfp=~PQ&Rq-ic&XH)z8qpY+j`TH8LmSMo-Sf8w>S~DUAU-#n=u5q zESK?*Hnkh@fPR{}lfOo|G_HO5+BcXM$Bl`NB@6)&DS2kFR53bw-)^@MTm|7j#?N3^ z?6J$XWHcb!BY~-Qx(tlGH!AzRn;bZS?yiKu#iSQktFmbUJEzHuj9L*L=oOWWZ6e$< zIu*?~Hn5VXJcy2DzrUQ8dC!gqANtQHy=ffS;czKOJe1BZtP5UFN73dh-JR5GRGqsgr5%5%H zVVC9>d7Qc)infvEEsp)%-p4c8RA(t~L(xLiOx zxxJ~uI(c~O2^!FpmbX7B)IOd#TACr@gRO-LS} z`vk!h)k`ufPf-bYeTav2wo2w^2vfsdnv z(pd9Ydmh-;FitWx74FL&utY*A`?502rk!)DvOBDm=_qondR#fb-M;*SMq2e&$0v3`xw89&Yw+8vKUz(35rYVm8qW}6b4N@tP=S|!3aCkgg($> z<^Z%qx%8Z09fvcH#Q%dEw|&yn?Mz*6^s(sF0$hEC9@H(%^bu7Y{WIu<*4((l;kwK?df zu2GC&SM1E7O@GiAtrDyW8M_;YWJmCx&1gcm{3(Z_tY-u$ve%n*4K9fMraG#|9#o;& z5n(&fPpd=#7);6ans&3?6^cT#pIDsC{G&UND_i(t5-$BFG0Sz@+PvcIa&63C1dwmP z7lNHP^|NQ9c(^0l$a3<9MY(A^8@1WO!5KhHbEcK#R)OA}?%6H|hP;qcFRa&&S?m@> zBiTjzo?=d!>8#D7B_v?T;v(?)jLrU|r+Pyr@}s12|BTmScE%!7p9s`t({7z10E)B+ zIg4iR^=o%AMm14zCLvXXMLNj+WHXG!EHeSz$%PIj6J7?&aG#-hFpr0yX%8{cw#>YSdG&z~j@oJLNb~3fDw^Uh# z3E=##_pH>r^!2XZqQibn2DIhk9y*;>Zc& zu~Sx(QYkrMX-!PXmAYZmHCrl^>W;&pIYqhMKj_I_CB-0ASX>!6O!9zGC+K`tM2&np8Z2aTd ze?;TDAuv>(m>|W;>SD2kx^>C16oIS2Fl@}mF??ZpCO0&l7J(A9-`_E(s_$R2s_PFtvPFXe=1TUs;hK^f z`@8;A0fZqzV{w4+pMA96D^L0w4{Nr+aDfiHjeDM1IAy?U2T4H{+o zGD2fyvQ9~RYxAc>XXk`|lnX_$4filEIb<`fyQlDTI}AdKQoNe$^d*bkC>VR*Fp6IJ zUD(E-bLIx+c&tfvw6b^JqHxSv0^s}gj(2t`vMCVehh=+aFtac{wfp*GbrF1x5(TW( zF#}17#9wQLA?MdX>$Qp;1=o~@x8iX`RSP=4p%;%$%|!chWoumy6D(Oy4ljbir=BV_ zD|0W>l&V5eD)pZB>Yd+MhGDc(iK4tNm8zbJAbUUv=-}iFBbdp?YdrE-bamjtG)fgb zrSzVO?=2s^-fDu$P8gk;2{jeLL~tVm)W5KlrlaKiNUOZu|-3NR6Ymp^xKm^-;M^rcM|mtkmo2#S03YM z_RXwnbX+H(Y}-OvgW^;cUOaXPA2d^&O&ie8g`1i3jZ^SCZoYo0?+iktY@I4pX4RPn z?1#D%X9K#v#82jdywSx>f|`VAP!>cFUR2zc4SNPA<5bBquLgXje8fcU$n?*b_GtL)meU>RBS|geuIPL`ND`DF|q`ONfgAC zR1nXO{q>LP=(DpiE)x>idVGQT_IXiYn~)`0X5rAkIG1s(gNXxlnC|Tyit-*=xVZn? ztruXW(V-omty=iWhAX0j3kA$-+{F5_-B^P!;`@-6_?Wt=q>OTzhw#J6xPo zuHx>k9z2({d(qvvaU|}VYM>6=`L^pQp}C+WGt8u530hGtR~qm(2BzkO_S=kdS4J~} zQdqV;6IFIiSrpbZ6fDsqg~`$yVvJdXm5)8eOeEWHE1Scy3G<_AbHfHp{f7*`n0T=?iOD2paP zbe&dj@9dm)=2_u^i4zNt_4OV4&&C7<$sM6}X|A6{D&+e?@8yUD1`DHllP%U+=Pg}_ zy8?MA-8_nN>aUuDs<+zzWPmoM{S|sFNtpW6l8lbL$Ebma(lPO%E0K^4MlK<670;AU zOob^qGitG-^2!_ip(Z?&zN&|TMNF|8T>2CiOWIh3;tq}{rAUyV8>%13$Eoi=U<7w0 z_|j}6rmoVc9efJpQFlZd@3;CF01Djo{!hmKqQr^I%233FtY}gj7hv9>e}crdZO!sxd${~ww9yNU>wo3u#Lc_R zO!Ix7sV?H=c81#d7$0p+Tg-pY+M0%c33!IT2-$R6)vi2^&=3sUDXF;`yFP4UqeSV> z055Ia)ml4IfW@!zfcEoUa;=y(M^MT#cl$6RXp{-zy7Nr&|l$wfOoAaCJlBu}Nye4mK<`nLP%X4G~ z`V%!DY?SN|!pZ37NNIqcA4XeMYRr$om=z3!$Vjw=pkcl4_)dqBkucOoxJSEIT^VpH zPW=UTG1>ashyl zqxp|-0*|yE7X{u{4_Ie|aUYUB#57B7ROs$?3Y0@XxwBB1-mB0i?WqUg=$-Gf9z~$} zE+beev)dvV61LyigS7VZAu);9yTy!{s~YS-UnY`#RjH7K(}$8lv2{h1$wbiD%ipmB75EPZD)eY8wI{eCp@+uYN+ z@`wno2#Rk80OmeBHQRc=OExfBkg+GFEjVx;TG$uW8B`8?axvZ zAz91Vn@MA=e0F0XY-d~_xkUr_p!oa0ay5?oJDmD{r$Dh96ELJ%oPw=Ix zoDx9*lLSTjom;n{9H6D)0D{Q>Y+QI0F{W(=``I46iIUpa5I%zdCrg_@{WOYLjb0QU z`Mk)eAugPnq9b$#9+Z|11!5xo=I|A*NlT5GkUt(|Y5);DEZbqFbfQlXV9ESeX$Fi|s zhkXq3S9W$h3ObXm*Llvv`h6Mx-Q_)$ylfpvxOk#j8UA}up|*e`ecc;|=w9N7U*BhE z7&P2rAHkyXcD2H-hwIa!u;!aW)>B3Oqz|6)x%~~C;i;s$KAcgiJf`+3@JQ%=Hl+hP zseK&(RRH4lmk*%6=?(jNO4408W{*}-u6HdfTn;rVt1 zpy;_HfSUKuj0V%C>6XO({=_Nd57K3;CbRCYnDIJVcGxch0$p9Fix~7XZ>WCwu9ta3 z?)4VUej6=VNo3~6o7*1tmR^=V>If?RL!0O0i0x#Okd04Nr-&VX^MB|~yt}FF-*xlG zD*bLW5^Nd5s{7?NQmN&JTyNGbxf&M-SsL6VWS*5OuhvA^vw~H)+E(7#ndh_CV3CYr z=GMIss_WxZd;2P|JzT!3Ub!U5tEBlnls9~8pU#^tPeYt$Ab!X%Lk2`*HD#iDWbfs? z9!N?i5~J*rMQaBb+Eih9whjO6k2IGBpWd)Bh(agC{inta2#y|m<=m=`W{gv3*Wv_% zxXGF`b<^4E#6WFoor^;&p|tmoEO-N{mEHU4S#+`(=Fg`2@4;M8g#Wy-w1wdB`J-|E zz#Z0ov^EvCq|vh3jkk=9=?Be_AkSIXLEFhdq!B(_D-Kg33uTR~?|1{&`ji&-HfIi& z9MNdlRXw&KCU&symYm%8{^7&kIV1yQ2lmVG=S*lRBZsKV?$+u~kKKMgcIX9m{l}pC z_A{Tay|960-5LB#NHx%5NV@Ny!?&IsK{7<(4G8 zL;HQ|*6P=tm3Fp>Uk&^!8D9~i24^F}w;W8EKt04q%Lt8*ePNJW{`}Gd*V*38o%vT4 z`M;Fk#|xOdy1x8EY!NaL=QO@@<^B_X)xe30Om#cgNz;%WYOxlQ;-jd>oOit`@a3c4 zFrBiJ(o)l}?;d-+_s((~&{XCdbqF8f=j!*b;I_z=Vtb{zjVem?(ZxJWuX-3CKuksMXvBEcz&wCGIT}EfaWR& zGZf1a&_u5?|1Nco0>@4^1yv9{$S*v|1nTcGJ9D@yNUE;Fx?_1B61lXd89k_lnDCPty{VnOw*SyY;7J_fqnF; zfj2Yz8%ldWoz-9ca)bukePHr?e*WY0OFS1sYV>o}%G@ei%;3WFpBmPV67MtOl??GmpuXPXxuK5R zXlWI{h|@D!z#)3o5ZYw%AN~39s)9qqhyB^0j+onxM6szA$E)ph1xkt8GdYBIlc|F6OEDn}1(U(#TKcCA0vIAD2tDljF(w-HF$wc31G`$s>wKX|n}zBJVoaIm-O_W5nJu8vNO zk6e(=;yE1ygLL6Va-D(WyGKS?YzdE|D`!s(P7Hdswm|sS^Ru3xTvQ*LY%I@IynZdW zw>=O+;O~6c#)Ug|o&Ec#2EUNymQ95l9SrDMQTDlkTysxP8QC_5m;INqtbEFO&CTbJ z9z9AWkUirxCGkZ?3*SB@H+p}L6!t5~cYOauLP)6HS59efDTrut`*y=w_wl@r4lT0J zvtQ6f=YI?qxWZyxmw9imXh-+qpsm5-s$eL}9; z6N+A=XG74%y?uOqwssaO*of;S%;!U6BtBE{nr`+UE5F|E-2beKALX#t7`**G-Q#`C zG3R&$E-YEhV6?$+PQhbR;g*w=q`bUI1#!P|(L&$i_08BcDa(B5VHO5z+xUlZaS-=@ zxRdpdm)NL72I|);Y+F(?GfOj7_{o~CIeH!p-ApmI8zIdV#k9V1FzCAxyk-KOCZp1JG zN*<(wy?Jw@@#V|WP6Ii8U)TkIV*1EynU06agD8rnpJPQ%yfo+sSl7!rF z0iJ*$gs8;9SKoHG*SdRphM<=#LOex8Mdzyr)P}MY-Q2Zl*d6(38I&J2A&^Tq{*6n$ zf9C@5|IJw3fV4%WMz%_T@mzm)z>uC2_Ir0KG|9?cNMc}E@BI`0S`YGB5fPDprJhdN z@aI2&x=(qxvk(dpE2l*PZs7autfYhlIw>V5r+l{W=>jxhnh9b>1tvg2-m~r>C#szf zvnBZnvhC}kmXc9bwSK@RQ2xuYDQMX&B&1Oo3rUJc-sutK-;rXY0!ejZUY-UDg__xG zfHC*$E@JDVI3Mc+j|ad|2|D}7?4aqATRmwdUNfyD`;9d<3fam&Cm((Q!AGs(e!^DX z&>v#V#LVngvqj?#yH0I$I~$9yvQ>j#!mrKjO_>;6DBR!sWB1!F6W&PX1HcL|=$2sH z^FN4}9rgbop#{AE&)EToD=scJgtM{$3a&k^H}O#JaqvrDz`NV2rLVi8@q7{Ij+;pkATqHtGWN@Ww^N z3hK$f7!9g$Rw#Y{4VL>~(%}Dv0eqwNK91zSfyEJ~2kj2z698U3K>7W@v-0|Zj;3bn U{oT{b&{Y8Xvc6XNMf=GA0uIVBWdHyG diff --git a/dev/_downloads/68bf3baa5f6498f8399b26d3d85ce17a/biomechanics-12.pdf b/dev/_downloads/68bf3baa5f6498f8399b26d3d85ce17a/biomechanics-12.pdf index 713358d329c5a82cb0c12f950c205ec1f1c2e8b6..5eca726989e1c51039ed06125b28a3f1e8e2197b 100644 GIT binary patch delta 19 acmeyF_A_mRlRlfFv5}#v#bytELlyu~@&<47VHYVRm8$0JQuHO8@`> delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*ERD@fO}88EVRm8$0JVe)S^xk5 diff --git a/dev/_downloads/76c597139b65debdf0e125c15cd040ca/plotting-25.png b/dev/_downloads/76c597139b65debdf0e125c15cd040ca/plotting-25.png index 3f6be28af1bead0fa991250ed1ffe0ea862d1277..d32724ef3005b8d7b7717cdb4f9a96b1c8bd78ec 100644 GIT binary patch literal 10118 zcmeHtXH-+sw(d%(q7(&15CjDUq$-`zR8)#Y2u+YCCDZ`YrAD!Wf^_LpB7#yR6r~0m zC{;Ry5=26i4$|Q+&N;8#GsYd`zVZIvAB3H~S5}#Ot~tN&o9n3_`WiD6HxmGWSxZv` z0{{|UBJhm#@E@6fpbq|1^uBV_+rS;`?RVSL9_Zfo_HcFgc6GAh_qF%*a&mW*mQa+q zAja?L?d{>EBq@pe-wh<(Jsl)Zp=tVICkH$!{g!(-b0O0Jhmc~Ux|J2!` zK!3yT%-uzKwj;Eck%wuMUc5067ewT6WZ?&7JT%OTvka$q^ggp56&ao(lpC9=yc7@~ z&M!3-#~fw*8h&41{U8G~H*+GM{s`i;ESo036LqcOT>Zhs2hGg`#NM@K<-3~v(#uLu zi6f?gvt>5->#g+wAc^R@GQgQdUqiqz7dhZ1kH-JQC5He^mxww+wZxgv5r0OOh-f!ckkZ) z(bV*IYm;=3=A5W#gtsy{rVl^{YV-lSp_y6!@87=#LT>Q0={Y$$(HbC%pDO}<)SrPe zofJ7-{#L-;;74sV+8BNjdyS-AX-0scoa$YsiCMMXuk3b(Y`n?U&q60A3u z^;*7_b?KRmy`lPZVf3>sw)r?Y8u&vyE<{sXQd}n6GvUjR7F?YlvHJS;>%M0QG69OM z!Rzb$?Qso&a`AmR4PcDYiaqNzROw?@>iBbQS6ou^26O`-D-%OQjSJj>^~nMHu#4nV z;6cyt@3E_&4oW(XetM{_t*t~|V?ZL}6A~V&9S3dJv|u5rx>~stZE)$*eL)dbRm-LXan$teaReCr%m^p~_te$B1Hfv%5q$9qa9sc&Cj8&K zj0cE}w|UXdE>Szd3@ki5BPp`6Ha3@H58#720DpLpSNupz3Sn(T&0DYVU0k_qG+Jeq zTwz*etbIdmbH~_NdwGIyW2A0VJ3K1UtZeh|NRinYpZSo<8Ei|=LCNjEYkJ(k-A0<9 zl${`%$THWq-0y(tE$o=??%;CZ*-WnwBj~xVbLO|;Rd>4V;;vtO8WC$&k#F4;u*yYAPyH18r<_`lKRz9|p>krk$53=7u^_ z+_iO+c{b+S`vKV+w46PGEWQ3eMdQ=PLmu&MQNhHlDp{x4i>;v_cYyeJ`1eC38Oi-FCL`E}c@WCCOTJ9EKyNwB0 zv+z1FG?l9pMz4h?K!5x?e(EjcXt#Qg%|!nN)C5nexgr@XUU8iQ=2sD5*S1%}Y0+jXJF2-j#J8MF+xOnc zLDEH8St>_;2LYQ-qSRxqUiI(2397@9Aa{1e{ZTlln3VJ?kw{PtcFhe}Hen*k$0w#3 zpy=p2L~=C+u6l$6w@g4%EGwf{FARR9^0&WDl(Bn4?oFt=32L3juENmVV#&nC)o~-l zMnal)`xz2A@F-Xh&$gvF6#nE>9UPfhJ@IK3xu6T*oXXa_4PGwAj_pW)r=Mr}4TZr% zP5wD)glj90Q=gOn!fdDCc)SU*4qYK`|D(d$h@aX}HPUw1=VsB`-5hfR1-s#Ur_bPi`qj&bH+9x}$!a6ph0nRq?5yOLvm+WF zBk^xc^iS!gV0Wu`1M)0Tj~q{gBilV>WjmI}UmwcJ)k(B;MjdXK;s6>2@YhO41GN^F ze=ZPh_#)wZUGMJEmaMU(Ca3zPd(VA@J;Gts4Fh)X<`uU$Pq+OjNjtl#54eje2h43M zt?zkv>SFg0q$XkT;BWfQqiu1DD*Jj!o@uwH&4C?{`(Dorf!3#x_e;eSFS4Q-|}fxsPN! z$zYPPJ!3_3k?41AVhI+nT z&kn7Q?5O0C<*j*nd(PsAhk^ekDaY~&ixQ2>8Hqd}7xL4=PmJon3vQlLS$_7>uGq_g z>_j=u1m4{$zaB6vo2SD$6)x(UdxxEl6lqb_EZ7TUZp6E*&AnNSWa?o;qxP#ZvW8pDb$yX+qW;nR_ z-C0HrBpogt~^fm4xm~{-Kbn6=Fs| zn#Ny;h^0>BBY6oY++O(3m8LOLl`hd z+(%ADh04V4U<`1%h^$-JpCxg6^q6+IhX~9L<4}jU@ksoOTU9-&RY8-d@(hH?PGIl2 zs(IzMr*z_@VA}SZ9N?U}w*c7d07(3}c%awy0dv zCSpmOtL2^i$$xN3lgRB<$>xMw z3lsLem^hurb#gg%uj&Vkm%?#0qf@Jb)1G1qa_ovi%?AoHdO=5jjZy~?QYa3*rJ zN2-#~g=|nUcpAny6mu2~9}NXLU#_oLjj@QFs`urV`SRr{yOEih+1j07PlW~|A6%XM zd3k@|&Rx}gJ}dL&7zf})?1 zLLSl1O|?NW*NV!^n?QI#AP~4O*gaA5n{!1SIc?X-mgizJ6@9G_eZ1iq`=KS5`;WM! zuWqguwG<0%k6Pcxt0`~faPYbN9-)nVa2UumTKH*YU-MdEs1}nqF)PtHCsvw9Yk3u+ zUZb0Kj*zP}k>-FpfVaK7q~-P0`p)}V!G&{7V0yfuB8L~16CsJsu1ZpE@SfmF6i{=7j{DP^{JXQSD}0296&RscKy@#-EUmJUf@aU&uraA z2Lpe3eejBgp*dhQ(aH@PUsGvOW2#xYrS+Z%D;+TVh~ZYyW1`(3$jQX~RDp$Pd?Fcr zUo#u1cfQuL{nm#@kRH7}PHb5twhjE_zJgml(yQOf^&Omm>-QfqJw=JWf8hF~H4q+y z2PI#g2}OLsP3pnaipy0O)CW9&i$b+_Hj_@N1GlE{(Zit`Lr9BD2#>zzr0OjO4^7|l zmA~Y21AdG!h}_)v%Co&DBJ$n$2(Ucw94F(FFw60Tg9)Dv6U9`Fj%zNU$ilul!xq$- z@L?=-bm<9LS$e=)N#%Ch^d^h29pC^A1?Jx$sR0&A)!}NzzN%i|BM(l{kuE}HI8;T3 z%X#bRnUiQ$o`xK~ituQz^yxStqY|~Z5S45jgExtub$(qd$F_(7pedkiZT0f&I(Kmoq2fW-gYFC@6#INukdc!Kf4LkNOV134Q7=6%(^&0B%79Dnt4che0=Qr6a5@bu!-Yt| zfjnl_@Q)NW?DBL^{PWH=xZNOPn&kjly1LIxeG6te7#W!G0x**X{4L$@@O$G6ZEaUL zA3ebHGwb0jEy&V`7OrQ27UqG&Xlj?F0d*PYeoS}-5iV36;Xxv{X$Nn@7tL=LAFoBO zAfxZ;WdjB4E#I>MsSv`&g}uPP{qSFGfkjyOMe;%{y+>-u0*zBE51f}X&oQ2MLPXcQ zr2Tmr?d@XjeuVRq-B%-6vfu~YZTPmDtwPhb6M)-x)~t|r;RL*c>*G%gt=<2PMbt@* zlp~7n($jy9f^XwEdUWa?u@#a4i|z_{tKi*@iE;tN0^GN3r#f?QL^Y26rc$Q|T#C8} z%3OTNxQeO#w}s)2W5_4aaQv5s17^h2U`jNr3GnGVnf>nFby4GY?e>WlXSFIPvmy*J zm@J=}o` zL(Xe+L;3mn7>GuGjg4LQ9qI1w9(Zs27`^+gEW_U3Ui

    ?Vd41Lqo^5bQK?~-kzR( z+lI(fO{2+<8$&M7!kI*P_MS>8`;B^2NQn6Oc-~%|?d8-fckbLdCoaysI;14P#`s`m zBjx;M?h6{uBdT_OQ>Jj}O9kcS#u-6NPZK08@(DVL&h_`{^7Hb3wr5_J#SN6csAf!v zkI(a(Xgwz(VeIPq?tc9%CGW{sXLJ(Yz?;{qEjnN8s_YEjP3sL^yL3wOM&; zPhOnpd+L-A?lYvVOQaJ=*x6T`tadSUbadQut}l%X&GXVwe);YrwcLuHcA6)%EvkH# zmYbzl2ff;~Vk|>8>|vhEKDmwfAo3eZM=bLZlC^r|a$McoTCY`T&B@U1#TP2AkY(q+ zEv(dzJ*$g(Yh19BShsz~ZjG6wcF7W)MW-I0uJUGT8(Cc5^z!=#`45FCyzCF?(K9G zRFsr`$dF=@h=hwnxec0 zN}YZ*HtH2w*2JZ!7v>q{J{r3nY1*w`>QkV{wa?qXD?<}qF@?_8)s*KBn<-xfLbZSLrijEp_}* z?fS0>hQ>FH??(>`Mdj3@u8EJaIrr})ErM6OlVx2J%*tK4zCTGf9+_ZO_kJnk6w_01 zEB8vovHr*-KD&Q2bgHqOul$%X)=D{)m^! z&6{s-e}3e&xiZBqWv!mgw>;=YXy8lSmJ%w=JUB?1gmI?y?lQK_xm!D?|Bd6=x99s| zYus)j2Etbzi32-3=yYXMxMh0weFc3vbF{E}N&7i3%9vc?ZsO_bS>w)`U;rLIeCU(m zK2&MsUbj;Y-S6|FUMX%s!G@PSGim}pN;3dvFOPYAFeG^UrnGd<=a?Sz zvb0Rcwx;G)z(9O!f_TTZ%6GQowQkCEZ92-YFeWy(8-Af5x^dGO+1%37{p)MQQBKZW zYpFMbgXYkCCAwJ0boMp4_cjkP1_m>`bN3idw!b)ancJt%#Ny1(YSHtiW6a0I&2mJG zsxei5^Ttxg4Q*_)P6qxtzw^gIjmXRzx zauJ+5LTPp=x=;6zlqU!phia?`)Uk05_w7^Ub*g;#CkR2rYabT~UYvFU$XXOSUM27LzW269#>THlcIN!{1KX_T z0={B6CS-{nPR0#lH)ftjJN4r*BXm~ZUG9P+wl8=fm{)GR*;|+M#}xvwe>6JIAH1Hq zlEF-&yjfcE-1kYp!8?y(GV_P+@{5h9^%1$ZA zp#k`$e96;k-f}9=z*XpC4uobsm1P|40<(ior~`nU9*E{vF?0T;U(dDuhSzVorQ`Q^ z=rF~3B^{|O&5i%U*5+G(siC{~kz_5Cj@-XEm6!WrZp5AgbSdryN%J(yy~6K7+Z!5v_1TkvOa+}H z*YV|P$1|>dI+PnWzsncY?t7$913{`-nG(Q_NI={N-S*S?<_sal&E_Xx@8Vd)+MrM3 z%358@=tZ!*w7Z3gIw`hE!vt6aB+!+k^izMyI7mmdZ&hfwDGOM5LDal}gil2UE-USL zqv=4%(!yu#i3Ms4%;TJplWB~7OL~hecdtmJRkv+P7bg(zw5a`q#wE+e&(+>amf7bM z&)+-6t_%luj6;5dl!PSjO{MqwCfd4{7&yPkYd&RA9!l!{+^$yp6p6Rxmi^Jpv-?LH zT3bc~SFkeZ^}2DN6f;*pf=``?%`5jpoTd$lF30hc3&Vlfin{Z*kc4sS13gKonyxQ) z%!f+O4!NM1@wVUF60t46JS};+=)h`1x`ahQ-pWcRRzx2Rmxk7Hy-$&Afn*jwWR8iq zM<3Xpb%(}ONKNJ@HqSpeK-E4;(G&)b#e?Qf%h;)S6IY>n`IZbdtKiKQ{h*-gv)5l* zqgce=6v!sdS$aP0BIeG@EGR*K+tebj)0CL0Wb4U4oS2^5$+p_m2pTzU(q`-!;__~NeJql;2KN667s+sT_1{D-zs zaZEfXa4vdx+hKoWI{`o5)Y#A3p^l79fScgsLJVFAW7XcMz0S3l?`osLh??zM799mvwXF4ah9;aE+>kaNOars;Y5okvi_se(YH%%xXC zWqaZCYOU@+t6}SxPKjZgUz`&qytl={CBX8>sl%K?P{q;GWDb&Mq9{}^g`18`%0up_ zA<6_UQ6I23YvepW8Kb%l6~Z+!vrhgOOIo9dfSsZ1k)ug0q7nx~aln zzx1KQ9KVWy2j)icrcZuPs3n#Vp}G_7!NjlhXGBtE=}Fv6;hkv{sHY5^hsu=8u=(c5 zUcBn=&45)SXp_)4dC?(Tw}{+A451I8PInv5&%!UwP>)|_@j-tq4{5Rg{b#Y+z*fbM zeg`s|rjEh^K0#(pbf%>FY3sg8P5&YS<_CxkaZ?O@aRU_g zOkD_;cNxl^7cRI8A^-Sq-yvqU5!)`De$+T>!fZ@)m*8uE3P!HPED)BG#p;msd+^|Nza3P&ldflxrb;WW@yEwK4VTKdFhj80C*_5DDfkPXdN420XGag(FBe_2&pmJs5^J}(eye^i?_Z-VSG8G#_=RS61?0%`|8z%7p ze@mEqNi?wR(=quI5|eWF4OTDkDf^XrviuEg?F*>&uV4Gov^RrNOaWENdewBnE z_3nA*Gfe7^kX$cM=)gjZ#2uAI4f0d`d^X_EH#F4LNqFgJCN z@;lipOHCMD!N&kfPAqJS=D?2`+!8IYa6#)bpA>^CllZLxG+h@Ie`<@J<4v!YS)io# zi!D&(r&$N-UX31;Oc?gRJUw7kNkRS)%Gz%R(bCHHaz`XDmTxsj5VoU%B?(yc>3&NH z-M$PH##H6Z&1~e)2qdsFtFug&ZK_s?;y$x4x@inwMJQAbm_dmuN71YKsPN~<(p^!L z*AVz3sOlP9yv>h+w2RpKitV~3>AwL{Iq&i8{k2#+9eTE+dHi*HpnP}&Rf z3uUDogF~Ab*tRaVrsL$CxTHuyAHI|!ivuf63*2YTh)=rS=$oHMuIT~1dtb$kO$rTh z&|{_t`-{Tm(1$)6QpkaaFET+~dVb+CtNe-UUrR)kc&;Eor1b>aiv-;Ri6HhxSgoC0 z@ItKrW}h1JYspJrZjIeswMAK~L)m1tMYW*1Vd6Ne+g#PX?l1kZ{a`f)d+Irb!~25RCqH z=&S5D54ih7glZ9zp(@r$1Cc6Nc(S*pmREu?s~r?Wdletoq>}upNmTWuRG!TSmTL$F z50cmifuwPtv0u%-fqyk&MT1!uK>#CLLMf0S9QVv(@(mKpm-x6)^OO#(1T7H!Q@6>tMDANqj(S}th2j-+K%{Qo%6LK1q7 zPRn0e@wT_K6PA`XXoE$^SxulU*5eC6=FjYFtl}1xhEJb9Jtrcf4^Oy2J&DlS|A>`z zTWWunzP{y0_J|f%kOK`=xEIC59BIk}{zsuXGanx0be?EUnornmX(+O(NDySxoo~dg`6%v;5jW1N6Uy$N#wmK=nLsKn6O*8j6J&}bwh=`uV;67-8wZx!?R zA8L+sgcI=R-9P{GpQRRRK+P5di;R_qqZ|?jxQ8 zf75rf09>;D5ht?GSbzQc#c_yU_Vy>*@!!AuBI!uk@Q3i6%RfK=o2Om=r9%Ighh!%A ZXq<)W!_7l4-iH1Kw635v3NKmT{|}b*8vg(Q literal 10134 zcmeHtcTiJZ*Y8Q_Ac_j|NLT3~h;)!5f)GmRAV^oh(0eaI9u!1SdM`pk7nCYJh=L$B zbV9QLQbLg`^=_W`{qEfPX70@Q{&{DvGnh=yKKtyw&RT2#e!sP%bdajF)J)V61kobY zl=UD84!*+Bl;q%pz%khhKBT==9(d`y+Ijg}d)Pu+)?RK-u3kQ#a z&}~7ECthA|o-)G1&i{LWkgJEi@HHgK1ek=%P0hp;g3ck&{$QcLFK<8)4+%o~u7O`B zaXQc}$uRG9Q}~4y)6;lt{l$W&msCa4$@^P+BEPya-*XRD9Puwf}|91$#x<2Nt(Un&yp8y)_ie6?|=fapv~D9#Tr^k$3{>E7Vt z)Q_Opa-H@#Md1Tpv0>y(tj zrlzLJiajEs5Rb>Jb&^|bSHig@>4wX>dEsk zj_QtA>=niq{wkh}eTI5^c->HWI?5sphV!Tm@*}?iq5FT%&!d)yi@oLdN!%`jA6_LU zCh~G|sT5{ zPrjCsQtq31*BIz~Zs!o{*1v?#Vxs6TUryJAR`Vf9_h)D6k;^1!@X=;ixQ9x__VJ#c z>7=%6m0e6?cF51ew?(h*`sI&iL-(@i*@bJKY!0ngnDKcpdCaYFYhh@F_Lur~m>^dh zQ4U;wvS8fqdjHmlv0fn(Ut)+y6|(N9g^^%&oc0+@deJRM_{WKwccY>cOluQI%jI6n z3TQYGYTGW5<%aP>XxnH;4J=kKq{VBwm}16|hf_^jdcoet1~Yyub}S-L5?8{%wODSB z4_rsYFtP5hPrYk9n#g}nPx<#vI6CJI1YNAOjjnb|yBe>JOg5^Jcgs~cbSid#B--N= z-b+O9t%|U(w+J}Ty1YQDL=3;rA8x8o%yQacGWKNUnPrzm4zi#++xxv;_CQ z4z|gw>x&@>LeDFGEBIiRA$$y1)Mb5AZC-_UmQCtJT)%P+^s4JPk12(V3bq*gi*I{!iQ zWRKbG`}U@2~$-P?4&j8Y{-!nF|ggZ^m=#RrVRPH5YGSW{*02 zuFs9@Ky*9ZU$KaUo*c<3tI_ZFk+mVb(2lYB&6_4R-HHJXUR_+Zmti~iV2Z=kR>U zWVzo;N_w~oJQvg?rynQ3CU1HPM;G08%{D2Qlruk=ULW5TH{gZdRN24U#*x?^qcw!A z-%|N8l0mxG?c_@%#=Q=~_4RsYnMCCiB^YIMZwB@`+il}>kL|1e&@}-E@6WjXd38Y| zp!&4-+YU9gqTi}z@b8Myr1IubLD6%5WMokG&dH(OhgQ`KOHXN>3O6Oen4}bqS9083 zTxl8x6JC@SiZJw|fq~j(?$m2TQ)bDQF{IRrkDaFZrvob{{N3gh38*=l0-ZMf(YFaM zEfZ!)?`dzAqi@1InH+L|Fn{Die_hk}fj#^ShUOs+$M>Y+KStoEeKl@AoJ9V-av!?x zx}>-CXR((noKBiu*#|%n_0`oWbi^ht5YcMdf@ic0j0wwNknBg zDl%x)z&PXEzzgcF?_(d{6P4HUpz)n)U%cF&+L+l55FfI%W^F9c16}<`-1l~VU7L2N zpa}i&)?60#`!VVys4AUvV=RbV=#ahotZi6rsUNZ?*rM*9$Z`jTaR#*w57KduWX_v~-lwI?p-*wcp2sgYku zZtxcMd{o|Ix;)hBbAA7!aC>B=$fKUur>wqi8x+fV=CVsmg;=XM52N@ji zTsMJ)E4+a?1VPj)oD6F2YG~DDkw?0Sh}c;u=E&o-eAOF$Ccq+dA&#G;Wg?40r`tUL zga&l_myAKfk%wr?vtZHz9eU{R;g?qz=1w=-^|lsjhd!WsQbp7?H1st!UmBG?u$Dcq zRHnhW)Gg4P4qF+WK!!iL4^#ZolfiTIA@}@zT5!L0=R526YPWAnSdX>Ob$wFpiK`TB zuUk%Me3+C4s39eru1iZ)`(M17k?bDNE21-(=PQ_F%F2w1Ug5BY2MXBAs-o(!|*A8){>p*TjFQR+@Zk1hoed&@@;oabu%#vpav4*{q zJ+z6a_5@vSj{Pbmy5eGBOaS}33&V-<2}=q~>`mR^;vpbOI0Q7h`y^Iehlj_(Wkr}` z^YK;={@0-0$Js7$Jv`@YZ?7Q-oelyKMNZ2E&Mukp*uN>Sim3rK6!4v@_HxJIXVUPa z^xTm9F}D+9@k7o$cZ*hq&uu)n&yM^416x{NnMG>RK?yC-uQg)hZbs$5{^__TNZe{ml6OGDlMf<`Ibs@J0v%x&g zhvi;N*xCf>N#qBqrG^!Z!g196Q+J3AdhWfLg@5#F0tw@w$K!h>J`NQUknoCJXzumN zk^R#5Xspp&Fee@V4OR7=pz90_z>kH&RSp4T^@s>OE(}acSrfP}o*xKiQ+V%Nu|2GB z_M2kgaAnjkYEI!4EO7ij45xkP4`$o-v|~VF&VFJ7KW15F@NR_{Dyj*nxeAk7ze7Mk zf9q?$oRHWrE_C7v)1rseZXZ6^&Jm(zb&#b(t4W>s@rmjm{JKFvSb@VX9^={~66!;A zkfcC=xhjpP50!}Uy-Ws8*7cV$hWwcatBS<@c$I=wm|kU}+|z+_83ZsP#~4MN&m}0% z=Q9I7U0ly3jmQ}(Mh%If;>8>iiS&?DWRwUYsC7T@pWo3x7J5Wdjz4!yBH_5?GC|a| z4C>H_fS?1Ax3l^83zOfBXaYzfGya`E)XJC0aMn4&+*$qwSK*{{wV5nSKVD7T9N?md zo@-@wH-E?4x%4+P8SX9sh~^FBNEoiv!viBZ^DYbi?LN${XR-$G-ie^10`}P`L1tn473%(d z<@;y7^_g0IXruCza@o{e}| z^-KVE1elU1vxM4Ww&R%<#%fCG&rKr3bO7rDu|y5ciAF?3EDsgFlJQ=~STqMLtyHwu zvQnWbbRjfl+8uunWi}p3N#ijy&zR9NlYD|pqn5F`x1ll{qoUUtod11txbBEU!%S-& z49D5>tE&w(QiMiqQ_Q&$4I3Y649(2SY8=O&5k+9iJk$`~HT^>52&?bZo2`BYOW)bx zy4|&D=HH#XLPAD_T4x4kW&y;Ds3_gTU813Z0sZezINh|()3$-Wl{=fCE;Dq_#C4W6 zHJO359Q0+)wV$mRr7xKbKfmM2DAZ=9)96Fg13VMx2=wgi?3IV*B_;S>BEcK~s{B~+ z=1oHzoA26eKoc-iING>J91|B8cNi--|Kjn1+cad4DX++(ox$}?K#EAgFDz(C#yONA@g6pMJy=FJXfYEroB9Y9|7zo-HtIw?6Dlt23R zA^Y|*c*Pdl3ddew*cQ|5vj+{0&9TqfLmu2TtsbBeZlbF^B%foyCJg=Ph@sgrmx)+h zANN15mmO{kZCx5Fe7@=~Bk+x*o8OGF%MmB9o-eI&!hY2f2xHZ0{@5d%n?z;0GZKKa#5rEvw|w= zKbH1DQv5f2W4=b2UrG+`LnLtX-MDdYy3yA-AfSO8nfX`j^G$%IdHChz%&%U(+TGJr zmem{6kR}&c8?d`tyua@k!zw%KlUbzm;6c&Nhqdo~73E^Cirz<|P{6YWUoZ$bbw=?g zB_+w69&L>j>+^W8jA}_sOP3j$XakkXz|O9q!FRnpC>mle&6+(w6LJdL$E)%ze- zc^pU~<~XW(DUf1V6#y>gYDx{UwA(7nBLZG~W7Q~qTDCh6fan&FnQ0DmJU-ZY69`do za&e7>SQr@@9h!}*j`#g)IyqQbo~$Va5}VgnuVks}E4FU|ytC zc~VT=b>>d|MY*@-{p{#p8yoEx9Ep=P>5{J5L|)xR*VBeij@^lT4a8c)cAxC}@XBtd z0kmB8Ma|SSz3S)^ zPa04;jY^H)E_*9jn^4^XnVjZ|pbp4rPup@mJUzXMHDk{Xtb_P?cvL~&Hgs@sAnvgR zZ|l-Bi51=53mh@TTb@q7a~iaoY4UFXiwC(}2;?s=kc^58v+=H>hYtyZcN~Fq2NrH{ zcKZwrL}l$Ge+w6va=ZTQx4jvX0@BhZR8&+gnRiTdIGT5oy$H^48vEnpFJUp5Uy1t2 zV)JJ*^70nZjKb%q!}rI*Oa5;vt2i*D_xen;#a_D}F4k{*aNy*^xln69E0(@86TQw@ zP43+rquw6Mdu#aFQmwC7+*x>`*k1(W$(Cs!YG`ob@5`7QPLHE_0VGj& zD%+k<0l*`YTfj)o-ThxkAU5)qWQMFnl((RXe%pQ9swgi3-e3&7*R-x_CQ(=LSHt$%5AVv+H0PS4Ez7p{1;b zi*y@+hjAfPR8*Gn*yt;Q53Hman&vWGFg;AV2prN7R zQqxx75D1&$3QGmTd#i~8Eubxd#Z7^^Q4@L&BkHDgeE^l;1t;m5lO-i5FJB1V4<|p* z@h~{0EsvQZ920p z_`)3Z(@E%jEWd!j&|F)%cPFbauZW1Qu>u*O!TsWfIJg(q$6u0LWFTj0nAZG=6KTPqz1o zqF^goA8NF0;%?P(im;^%A8k`!wSmLTR1og;FPNJ_m7QLrkDm1#A}7@Jy^9CCQUL&D zoD$4!yhs=C*^g+;1y`H|1QLAKlacZO{3}xfV0`nTx`+rqmKDIxcSLLoChi9IJ_|!; zn?lVGmlhKyg&FYbBn%Bwhr)oa_8+ldUR?R6-ZpxGWc_PN+p}Edu_;VOHL1 z(XhmQ<=CC|^hoLpP*Flp8?UmF&Iz-J3VIW}^8nAEqx=3H!|d|frF9yRk~h`1(c4E` zX1f&OaP+lFzv zBvsZCgAH7ZV+#Pd9in~jp1(b)il0vbixGYU%|!yl+TfdF5qkEh&b$)!^jmE`E2zm~ zA0|H_(5Q+BeMpl&8ZidOD|(gA1VlW|xb=ZHaP^E_j#L**)82B=n-D*z=#{E4ySgh0 z_|iYbbeZ$oT_(}{2kWQFKI^qvHi+sovTRXV*~16hrGc7?8zu#}WPQr&<0+(AsG;SXlE#xwCIMSo1jNRpD*Jw; z{%ko0cJ_+*k2)t~NoX7#da#Y{&o!nSCXgf*`OsYIR8Up*JJ0^8g z9??YJcR%A)G4jEflViZ;#emIIKXs`4PIL99UV96)5?an;fP|Mv-)7i6dgQDcMy4&# zhsCJ1{)qt$@CrS|Qf1eR30zM)`OOH}9{~mV9ur*`w2cn#1?xZq95)}P6T{g9H4j!r z38U&lgwT3f`o0Myl0onuYxKqu`Kkou(Co7NK=HJ_e3W%H#2icfFQ1L4S zlY!cc8~|HjP3hu}$;1bg;hR6Otg;yQADGm?fTZ(QiVXc4NWC<1M{B-%KD9)#A{r!2 z`FV4oRu@t;@#KdB5M`<#kwVwTKvr!%6#$A7I7WzKXa&H|_NMKPe*Bz!r2_;kLEzXc zLWs`Cb0O7`WW7PdL3w_g6AAMhyP%MI z`*{43UWP>N5Kh}q`u;dA6Q}o@Q}Trc56|4SfsI}&la0R7T;`c6I1P)-Ic`fGZ zqfzQ#gY7=oag8OVAY@-lINv55NPv>V#iPiJkg}#}dfJ7J(T4ysWH3rY3N_xP^-UG# zvRi#Q;R+ukq@i~1w=$Fn4Lym#IJ|;x3TZu zqJXmTAKv?`ZjTt-No;R?!&ij%#@a`Q%!ax?JEEb%7G~dWw1-QGz#(mQ?G(1qDf*{_ z`MuFRbZ-~>#25GbWi$eQUOa!YLB0Utw$wGSs_aQ1a{xWbwEA7vm(WxaIyTE-E>L7h zOnmIK5glEXMJa^_Lb$HZnS|`Mc_tz>r9Qhv#!(IKo~XjQw!{IhDs$pTh(d=0=QIRT zeFO~_q+{i~S2U?;sTF@U?PZI37NoV~K~@&SeFKA%YF&~Fkm4)kQ*Pmj@iwx$Uipw% z&rCCZF((5NV&0&ZV$r=C;>Qle^|wW80Y7Mq3p&i?+yK(JtinT$dtY1}2PD+O0`l{T zl~ve+;g;JH%Nc(R{>dEY?8vroyuA+Me#gILT`{iD472ErLj zxF%bKm`t{qH_TrVJ!DcRhoup&&gysw>RUDL`DyyU+b`HnM{RonOAh2i zIO&{FA*~#tvntrRY_E8t@~$rQvR@(PWb;CCgXuxV>1}2MScnP?o$&N-l__Dk*zV&T zsxVDAj9bfzr>cD({w}0>d(siVHjQ5@)L6`3SzCuqDZ$WNAc`tlCGz1QjqDH|<;}jE z!p3X9mW|fg#h55Ne4;G>D=d%~!o33UH~4pyiOUCD4N>=v>LF10QZS~*ftq79V}|ek zz31t)1vV4(tg%4kc>ey;b7?DjdbKdL$?E5dzzh5JP|#+CSZIs%i0AGEKFz+8RhR>a z9Ws3Uw{3GVpEQ|PC-l3&Z1jhH(k9ErD4RBpzWgcX$X(+qoaLQ-rVl+v*MZtwz+^Ro zUr=nFUtho1?KduLu$kVeni2g`X({|d&!@i8x4o^ZE2DZ!PtR&~V1Dw0WdYRSbx)$- z;jUd?$|NL+4w9qpzs8oaQs2L3w#! zq0a4FSa{Q8^{*#ezX`QzWdP)%Q263PHfa*{m$P;PT@$|G{cmlvv#qZOdc~#txMvnLMCS1mOm4^l&OdaYJ8xfEY&S|DV+B|7&cJ4QORi*VZ<^fB)HS zQPCZs&`iXV;@bb|MPM>-^cl%hiB3#SE&Bf5X6M)7JwR$@lAQM;7C7iA(0*)hFR*Dz z*a1AK2sEwm3klU`QlpJ^K`Q~E&*eU=<8Oc@HxUcR<%7Nw<*2eUL53?=*nY1k3tN^a zCekDHfErZZa^L`N)&fLJ;b;Hi{5+qqaK-M*@87=%D9GnfB0xHLB1?)M;00{9elfdr zF*^_m^bWv1|EWkI{z`ytFrBr|y!V(_KO_A8@`p~%=TD$1aN^Hh21897yo&Yo^&MOH ze&xS%7|6Y=+I$l%AH*UAS_1xm%gcXjh(c>?ri&o}3tpaSZp04_iMxMSCd5I05B}YI zlKTzx5dojzMVyf$FkojP!?gs+CaTTO|9T}KZooI_KtoB+c<4q7254WUB_-W9Opt{t z=!f~aGiGTFbW1?*3Nl<<>XGXwun$rCkYeJO?ruG6>u=XiU4U{01eN0B0HE14%sr*q z?iQ#h0wM&(agc>YHgFAx)|ooj98kTx$IgVd2M(9RBo|OEE=556ea*nnFfmh diff --git a/dev/_downloads/7d4a2d083d96719b05ab2f759c57874a/matrices-6.pdf b/dev/_downloads/7d4a2d083d96719b05ab2f759c57874a/matrices-6.pdf index 49b52a3e21f7cdcc429e01905c484356acb1df8f..74d73522da92d507fa029474e8e5ebe980a40c96 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0My5vF#S>Yim;tAN2-W}q delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb<_4zQ#S>Yim;tBS2;Tqz diff --git a/dev/_downloads/7eed1bf07a4dacbb97d209dac2614e9a/matrices-19.pdf b/dev/_downloads/7eed1bf07a4dacbb97d209dac2614e9a/matrices-19.pdf index 4997b7e30db3f1e14fb482cd53704a6178f45d92..f7fb68018fa68a34cd7f3c48d8dc50b7dcf5df93 100644 GIT binary patch delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiY=*{0#zyAbm6chXm;tb}2@3!K delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiYzCIb<|YQ)m6chXm;tc%2@n7P diff --git a/dev/_downloads/81a43cb7598cbbe880e19146241abe5f/plotting-26.png b/dev/_downloads/81a43cb7598cbbe880e19146241abe5f/plotting-26.png index f1d31f6e978ca4e0f2125290f3d4f2197fca3606..07cced6c1a04e0e7de4300e1928b86313a710c9c 100644 GIT binary patch literal 9356 zcmdUVXH=6-wC)6g^kP9krAd>nG!c-1m5zdRLJ>)bv>*u51AK}K3Zj(IOXy7mB7#5^ z8#U6K6h%NfNbh&}&OLXnd)K-@?ppW9IY08g@0zkRvuDrj{XBb~+%UM#%5;JW0KlrP zb;Sq(8u*DIFdTxfL4kpK_`2YA)!fV29pmL=f6o!<+k4?%+`U|Iw*|Z%?|I_f-Q;C1 z$jC_vIC**DJym37UH?}D8TWfwSwREZekgrk=IHIrj zqw&hFZ-3W2V%|v!`P*+8+>W;1zI})(^oC6K#qUN)KOLN|?Bw?LSUK4mek4=Z15niK z_c~J7tcSz-+SXThtuLoe`ohT?G`>c|@o8N=m^j;M_!t%VfBWRPQChcEa492N$)(S( z<`_`F0=1Y|S7#Hv(ZFBvVCnW?Hdqv=0UT$S9$2pr`4TPG$BW6kwAb_ zx4*mK+?uFp`R?9$^jo+H^Y$zU6VIdrKpGIjoDcv|G?B3A6r9F?!_P4nE+9}ACxb4S zn7}yRxs#Wkt})Y7-1+e#vuivZ1|pP_8ox{Z%+H$gzS z3=pu}V&9877V-HQ)5BR#TFP6f5}H5HRp-B>_BRc+JLvfX?B1OKLC5~8QOnUt!tV!j zmAxxHR_-ZWG^bxYKKlsew&`gSO%t<3<=#Od$vM!)^t zbsh$WQ8h0FNM{Ckjsx3OeheRkFoyqHpI`cA0HyEKm=QL&t4H+VrHLa^?0f1$4c7eY z_4{+RwMLkU&8YT{du!CKt(HLeb68m=Zm+Jg4vQX>tCy6Cd-Epd?_VIyhyaW4p0iDD zcz7&~i7MTe z7jWXJ5$m?D9|3F1VNaQGI~!d+bVxX1?yPyY{CwQ&g}OYgf`T_z#vHNnX@Rx*jXQ(> zsXSsH^9u-;X8=TAaxNr#b44WuZ5I@L0CvV^X7NEQS^T)kwv;Alb2wanYVe+~iJ94; zjP%d8Q^xqMimvZxmACDhj#<(ZbQyhZ_RX!qWgPC@^4vvg^7yt#v?Y|GzV%0FC}6pj z>ER{6wSH`6(5~O^jP3r3zd=9o=Iu@jidRL6liK0zx)(2ojY;40bTy;fV27jrxHOi7 zLLHOKT3P<?WQv9;&nl-gSL z7s7(-#Zn(!@?W3to@h;?Zli^d+!Q{-Q#Cw1oZ8e;#PIMC)?sBuYjt%3OGg)P^NoSw zbTt^Qcqyho5_Ihmj*qR0QkI+Qr{i9?nWN-7K>Fn=)^Dp3T?1sYD@|0qTi(;>=*!z8 zxW3Z>FRRivzO*Cw63_nU;6TzeXnH3_VF3M^YV;-ek~NuII(Nr+i3vy zK`L(T+1J)%Zy1ldn7w+??sO|QHa78sXAaYz53;$ftp}SHsPuc++6_?^9d}&5wLI?| z%N{cHF(6Q8rp{r#V{pG58Hbk-1DT@Y)_+1~UF4lO7>=kj9X1~tnurYE*%(z^7E)wl zZp|*#Ehs!`y~4;qLj!1XYX*~-qWEQ7i4HXQWZ;ih`&to;NRO1DGG{8&LVJJhV9xxtSBxUuhooj-y%$5)mc z>Mse(-*{b%9;j@txKUOhu=CiY^rwHW0g=5Ul%{i}=>z|i0Lr%d7gKq!20Dd@#I(UE z4Hhf+cn3?WK6;B#{@gN6>^@V!H{ivtm+Vw?nvzZj>blzP+qPtDTBJspN##pp`j6*k z6^aoAez>qBQzQ9NDkQ%A6 zFMf;Zb9YDOXh1+lajU{6H3@5KLL2I~<%R1IKI+FKz;KcQye`T3AT=u=tS+?kGY*cr zyV5iFSVVuxp%OtrIYE6{x78$-(xic^l92DL2uM-3H$99rdI*4Ibv0>ju=Q?GQ3_jv zOh}Pbc`k@%LIRStb0N>pE#n5iDGE_Xhg2Xj)hx@yMffcQ1hUz9u<`BvAo*@tS*o`PK^1P)B!x4wCz2=*3NKWGcxzyu4(|kP#^Uw3wkz zZEXihn=JX^bCG4GPFld z$GN+|MIVVtFL*i^=HY<^)<$YF@Ko#JyM9(}<@@EQ*Rp8icXk2>MFh2F>VLEhAlj}1 zipX4lLqMl=jO0ZNy(9P?|~~%k##~)t|}@dXkGywws7PPS-D@m zMHZQ9fXo@b_<=$F5kZ1of@*K%6hau5-KO#_+amObu z32sbdQ9tpMI-*1f*lF0NO|4JP@-x)^y_f&4-<$LG6F@-tuisl^uM(CuRJq>-i{Q>e zWJL4qvQt=1Oj;Q5JpAj?cX}Apo3>J&np8hj4X#G-H;~0b3fsy5OWM1lkDO-z^N~P(?Hv+6zTguaGmlm0sJj& zu7Z6iv?)M_)!kip)@bQL)e|s!hUze53nnEcUnVBGnuXjNu7-w0gP>@(=UJ>B1v3ALe{>T7%HNhr z9%C+M2ui7(+#gXd1Oy=XIL4zbmVyjQG=wnoJub=(9o_7>r3rqNQ)aCyD`&;uq^@SHaC;lWlm$aMN20GRV zlLRe6XcPo_F}1v<@BixPq++2FS1;6US751p#poJSpP~C^I;mVAK2Ba)ToOBE^t*u_ z)x~=LM|x@fo(hiI-qDdsMeSRoHX99vwNX1i*}MDt@@oCpMdvOcNMbY~`ZNp;9`OaP z+$^?!XH>t{UFx;9GW8GYx`RWOgoK2`e6ZxjhnECROic1KG6a88=>%#Ys>zmJ{Ft4c z-E_|>V-uo>@yW?S8HX!dTi4Ei7UQ*@F&Ca$^-Ikqla=7C@~f)M`}_MD{by5C`FK%5 z){c&jv?ymB?&i&#?H1I|;o*{(VuoziQD4UrRqo&YIK8MEKir%ZSe&(+{JJ%}zF7Fa zk58fFs|Y3G0L{LlBB`rc?N?Am?hhM&R`}PlvKpCme_M!uUV2~Z$gbbmQdQl?FXq6l zsobrVPQ%rx;GN60wY8RY0q;`%=imJk;8a;rkyl-9xw^V~;=Eh38rAsf)rabvzmLMO z({?3@NF?sK(%!8oyBbxZEVX7uXHsa921w2=z!83Tu18AlBPx9$*zN5zdkXd zJzEtmEAN_IO3kXMxHYoX^LAxxrc^g(IB44yj!=+&5B&HPcb4t8pn&Sy!boZ3OR==| z<+Qz(T)(}|$)js(5X)uGSI@{?T>5lWLQ1Nuu(U4m_18zL8_5iH|Iib{`TWkbvrjos zZTMXuEd9@E%6cs>thcEy2+#UXw51g8?@XeEstq+YH9w}Jc&k=y_~xATdwDOTw+3|_ z{A(HckqrB)c#Xt!4c?rKM|-#QJ#YaANPY(h!SEc=7G3CB?9QOkMl{&mkGU}?fTgA7 zEmPB+SV=R{Wn2-|+hm2^2O4zXYIh2doh_MB?i}{`0n3cAV4sBqchjg?98zas6LnYm$%SpG{pAV z6D`E7!jfto-8d@Yb>`?Vlih~y)+CdrXJ=QG+^OG|5#65gyWHtC_-oI1-JnQ@6rY4=(`1r!IvU4Hb zo4Wh`omF1EM*Dm4~>U}g&YitZ9xoJU`Z-3lt ze(jc2;tYOxeB~`DD(Wf?-gVv`mklmM8yG=?2<<;tX<6aap2zQSD_60yvJyJvn$ZQQ z)B{kImg0y^zF=i%>v{%YO~+Je}5-7(W@b_Rzt=A*AuY{p9LFNI1Tf+hF>oN;VEkH zUb*m8Wv@-=K&A8Q2YP<P-HGL-7g7asfm>dIld2=_+Y9vzgFrxgY2#tAdU9{I=cGZgdD$g+ zZa=MCuU!zSdee1cD)fS;v4ur`PL3$&@#8vjCpi@r6!Ii^xkA3uU0m%l_M1%cslavS zgp{Oad>V5&d1jU#+D`6#{eBRys<)nqhzK;#Drqb70cBT?rN#*>o@ucZ2Xe% z!Dxs*%HU%Sfac>h+jp+Jx3>_sGrYL^3UW+|WcvM|eeXOcDeG`Uc3HzPa;c?%vsJ(3ZTsytLr1O^1x1-`KPBD?h{eQ@gLLzk;w>Ug@PC zb8&I8O2EbLe*tN9S0*p7|NM5aqq6p$2x&~w2}yw$UpR>*2xMr zVPN#^UKXu#XPJYMMop^+0tv#$e<$pzgJ{xGu@)6UJS~D^Z=9orWl5$RRj#HRf{}~) z8Ly>P7zbqMUT6CAw6}_ZhA<{44`B)^j6R!3-UY@iFsyR>!h+im8Z-f~pG^d>!w@I_ zh2ZMiKnV@`hyOzD)@RuuLG8OvPTx7rtTUi?%}bc_y|)xv_hq2Z$;;48RI_0EHmuJb z0!$e6zY9DGA(U)QB)P8)`!9$K35D?j-tLambod4}7Fq;|A>k7g5!Oc| zJ|7s=#jQUFK|}|PNnC1#&A$)m06gbGqn!Zp|Q<%>=;Z;Fj08$0l%2O8O*AM1S}cp8q>3{wzgc%LVxyE zd1M`zwmh)EVvF)G-WL{$4dJaDeCd!`xSS||9Wn{toZQd*%ds=DW;X5ckn$YNreGoC zn7Ci`_lZ12Vx&lxsW;7}tm_b=>JsI#&r7POC7wBW_#`{5yT$E%-edq(q&<<)emQO} z)b-~HLwnpC;hsxzl-Jh2B4`A;yQgRRO|wkRXm(kd$CW6~Cs&TKh11K-744tW3Jk=k zxLXkCbVjew9(ru=j5}8h#>XM#yAiaUG?G_YX;Ke4`S3t~Z(5cdURAvZ5P@)g9HeP5 zwY+=iNQ$~EL@n`0o+Z9+`@qlDU_~ngp&`!=-jkuZ1p$+#E`m zYoLurV}LCFoEO6GlR=7HA@WVK6aG6Lhm>uQcz0JH1WDJK!8Iva!=_fntO&$Lvze{7 zne_prfD3TVvFTWOiE`Li#C~4s`NG|2{O%B(A5;`qTMoR9T15bq6Yd=S-mlvbQ=<wXqacS2LQb{2D72uWuFK5JH-OlHiEd{rUQq z8MfvKMLIB0G{Dw3drl|%IRnso{P7Z`QREpIHU9eYb?%;3g2aQK_7fuCH?MmFn`HO+ z2`V-l70Kt$D}2j>_=>2_0Ae5&(pr$Lx87jR0iyAooTA86>Mk`$1Ri+LMo+Yyb8sh= zLCygNn=NLRG=xw6bwiPB)W$M2V<-U-NJP2M3OD)GoM4CARrZY}`S38*k#JZcA^B2N z@2un@8t!+)Hn>40+^|~W?hA7`prPN57%L<4;X~JQ%8dsqb*s1T%9k9{f+*D}6VkOs z3V{hO8m!iqQkb4@^VgK3Dn{WG2p}$RAKIVewe4LVAWmR*c8fDewzIMo=7KefZpjz2 z`rlFmC0RM1RMn_g{wyE+@+>>(9k2}V_kL`;9@nm2C2X0RJPY4284ZmKV6@>Yad zrNy#*V|tWAuHK8M5w2#)$hHq*Mz;Le-9;|g(fPuKiOc0#4J-*yzrsouTmKry*YW5t z8mJ9+X`sbyoRc7*chSG4itvCum_u%JgJSo+2TCN$AePA8T%L6P z5K32&pWi-HTJKgvs_w(?=9(*+^zLuRf5GTF2o)A|OTxByT2___zyi3(2~{eMC-Bl#E;F%~HzZ-?Ix zS`Ku~CicWWcY{G($bzJ#q=}79$(JwJXeb=F&rKz{x9|j+a5C$BkVXRK(qKyZr1rCC znD4zCOPGuduS#5}Xo|AOrCw{#XLCjYkisrH&BH_t6!~`jz_V?n-EhLEt)=qGk2f#3 zXl9Z=xw*#Nva%|yuC8X@bAzcp7zw`;J^+zEBY|&+{br=c$H&o&YmlOUp>=1}&)?tw z7xUU->PeSh)TYcQ{L!Rnh(YE~1C+D#%jdlEh>Ua!zy0WK@A)73N$zzP!8>F8m3JCr z>_=ozu}PkICR+BUE8=VR<#4?SgW!0ovVkuFvEu_|GU_8VzJ}ZqDuZQF9#RV+Rjjf?E7ve- zhKC0;{=tjKB-H?sUW--<`Vp|;o1-g=8gbLtP|5UQ(IVXVGus;e%OgL(aRsF-%JAw{ zpR1sj8RS2&CT;CYFaJG6?@YrD)85fY9-gonmKErkTDzC3HUrPxv1BxNbh~l=>*)Ic z9Ns=v`{gXmOC3f4trwnVCnLYMS}reb^au95d-nk~`gu&0V|A6dAhPUE>Ax7Qf&`S9 zy_?gM(|@?F^I$4(_s8yAe$=p+2&qBfElg`wc1N~Qzj3R5*PZaQ;3?)OK(>s6g=cL% z^VGCl@u3*TL%W?rZLCa7RXFW$ZA!LBGfJtax(rj~=vRZV>OLr{JoEgkS0t*27DW-} z>Yn}no!~*+(B6;3h$O4w*oJrMf63P`^o|Gz=j;ux2Cu4hUa`IPs%~2ZaKn@~jl_AM z4eUM-&xgLlhbfEgklFe#mpc8=OfK@1C-q`39rN)&5TN($Y%W*24XF%@AQsF1rwK=* zrH&ily!k>nzqnX`d6L>YvcKm8!Q^7hI_tl*Y@^I!LKMt$Ag}Cyu#GWDQOSmsQA9Ub zgk(F1z)Wvx?|a{61qin;{{1G@pt4OrDhjC?g`5A!{yJ4pg7Ud6_WP?sw(ttX@{-hA@500B>B0DzfpwoGP7tk56+4|e6h z-6umrT-BJD>{5(fwvLvA2jlW zjRe?EDW`MUJkW%9K&s}904e0)YRFl&{~NTI-8@K4{(I{A`1pLBMn>~pg121A5#X#+ znYo@kw(XXtW{7ZpZ7mui?tG)s|Hs}F4=|t4;UnfegFUf literal 9346 zcmdUVc{r4B{O&U|wva?3StgN?Eo;Oeg$9KfWUUxuFI)DJZ$(N{5(?Ru5W{3Qm6B{3 zJH@E%`@VA?-}5`?{Qmu&>zwO4=MOXQ^?KiDp6By?mixXxPvliYorBE0%m9Fcdb--i z03hKdg2==GzXs6#b@1z)_eFDW6AwpkKl?ilz`)+y)78Vu|@5;NdPObx!K+ z8MKqPx2Kniw6xp*d_caKt3w+*lDG=R+j^b#{bxycAFRp3JneNwJfYj_EH}U!nEn! zp(d|d4L%fTU0d0)LM4y+!?hafk*wkLbkFavn@tFQ(9r+2OPWbh&1xbtjHu|=f2-;U z(2D?I{i?O~o89?`7^lWq5i%ALlfeXtZQ4SIe}(St1g!Sqtt+EG$e%u7wxxN?5sAAx}Jw-STWJgnk;Y@&JkK#vH2t9Pw# zFSx+E$}HckfOpxK4p7t{BLJXimI9DU4?Ni=p#_xT3IH*j>Ho*e)1Q42;D$?IiG#DN z>orTu#KonhGW*XAl9r|4d@VpMD+0_X)a|YmiHnQJ3fHU+23C$G2QH7q+xAN`Yf#^^ zz<-Z_w2igAew~YnZkh{)CbT2L`VVWrUzwr1ODVA#hcMee?kIp*Bg)eGHs8bG_aC@< zJp&$f!Fo(g_qCYsYwh$53=DKpsj;+4(5nqVkd&yX&akKXmoHy%)dn&=*Od7T?M#8| zO;$iVDJdzb;yZ1=w_=c_m|I?M&M9hGYR*NxRnG$`I&c;~4g7vNB$5e%KuA3AU!uNF zLopzc<#f<%$B}?fn;Y)Z|CZnW-+nEXb$}l5BW_bB{i%N&cik=>qAUEV)lL;skZ1h|+4g*KG2;LyhoumW4++@ul9E|Z)%zdL`WsvH zX{1z7J$lqU5;QYIZBIx2Ihbb6l#mcv$TlynevioG;-(OvlO{x%yyh~Jkx_l#>zwV) z^v+*uo;B50yh>8VK8O%40KVo_T~`SSN}a2He>G9D#oZv}nwjtL%FTw1WPy&f*f+rw za|qUG03K^$qdL1C8Oj_S5>O%XptrNDD^qZ1T&JIee|qQ6oomL%Y1}qIOf83*P96y+*1nVUa~#ZJb+z!;x>?$4Ps`mLJI*4EaW>wlj5Oci_( zXJ;C(7)$Q>`sDaZQRt4#k1hIe&HJB+>yI46C;Qn?X;>t@cz&}=9KFE~h?=j}-8Pp{ z2)WA`r5@jlCzrl(+d8dGcID;gA7AzjVFui)x3wlG&!U*aH5oXNM&1a(JuxlM_(WGb zQQ0U__OtKB^ba9B0l$0)+{jJu^GZ8|o{(9+{gV24xVReI-B7*IHn-T=hTjtuTN|H= zOSs|WeXppkykO%~PA$0p!Dg}Q>gkNDr#nMyYHHM;Wm+6&Vr~99KJjdFvbk+>>7mUx zrumbVfL1Dp*B=V8Oe6@bHc^W4$^Mr-YF1v7UHj6~qD1>_AEZ=)2UM!i8x@B^R7ZAF z5s}3SL3|#~FK4jh?@xVaLC%jXfIp-(6y(**7}|4@Tj-H?v;Mtg0Xff@k;q}cQb0MD zj8B9fNs4G*Um#07s_|5Q_vjIG%jyS zWQaB(&aEuJl2dJzUnrrQ%VYxaJ>8Ciah|?S|ClB3?X6j>%&Jy8g+c{OYc?cW637xA0i6u|&7zwK*jc)8)&qIQqvh zXNpPkDGGj)!*Al*FvdFWh4T35&Y!N9bl<->HzUwo>>wsKF{x#II@hEHsZKQDJoTz+ z;m@eC=@(Z{Va#Bfu2^tzR%2Otulz@3V@CDQQY4=;MMF~6$e@uKE(@Y&x{Qu&!$EG{v~<-tXLh?~-lGh8-U!xom6L*202%kKU1Y z>e)$X+a_o*W;eI2#?aj$QXVhOFD{N+A9-r|tOmOxJFv43uCeIFe?(qd|17z&k(KY# zCXid!<*VR%5COXHCYJ_&uuzE$3-L4!s3dGSyDR21AtSW_k;~ee+WN*(0n=^Bs2{K4 znAK+jbm@?QqcHOeYe-(9V~sa0=*t&sDS?W!m6ZYuIzU5~XC8rKY+kO7K~IrDomHJaM_41C-tu@kzyqe?UDm0^DBc!e#B9m1y!6A%?>Hxuk;!$r53L z?10@%)h{tT)G=%3GT0N7kRuVI1J5aM`1DpuV{_ z*fAOtysNQo@J8InFNtuE;sl4`e8`q?ZnvU>EP?nb8(i6^om0@_E24Xm4m`F{c4gac zUSi}Z%KOgBJUv+ghlj?$d1tfqNaU;gA)r?_w07d&P1K3UbO?~%-6iry+1^(gWry=d zovMf*;Uz-1XD8Hn{I7~xB)pz>6H5sQ!!FG(|u2S(gUV;r6=dU3IG;p=fORtC3tM3ZBi z;t5dBfdmiS=4=S9d;_L{C;BxXN!ZVeG;=xT9h~?}xSgN0y4TmDV4AX%=?x`#czm$t z_-)rOPd@ZD?l6$afCbrCKk@7rUy+D79RYvsVbAit*!XySm2iEdDK4Q~m3D&;uoCt{ zMz>J8&OeoNQz^}?pcT$L6^3~AjjZj=Xa$$<)BgfXmyN}dyu7>;YmPHXDqYju;I%Z( zU;oI*xS4(tNprg@=KAaMGL$+MRRi20OrH{(B{1x8*K9q=$LV7>@7!tT6;M;#zl{d8 z5~0JnHNVbCGE)RcTNQ2wfJi`;=&c(HG6(bV_mH`8f4OuS=zvw)2i#@sb7}|lT6DL# zct*O88!qgY2B3&IyR@851KYVd5ri-}qR_8jj)R_PyDAQ_U~J>=NJnvluhVFnSqBhO zuaut!BduT*)xnxS*Vc!jg*rG;BRR?WL<2gotm>(8qg|Q8|EB?qZ|g5alG(uzX?B_P zJw&;Ezq}(|`QxX7x@V{UAq@!9l6AFjXx>#i4A715I9sFN69XMvUrbKA;tE+!CrU7jSKCx+#+y1+g}*+%D!LQA!9X!-zk_!VElF z5R}{5hI%3*Go4kk;07}oDinJ^H!bcK<`&#iBsmyq0W2=uY{ z?5_gXy;R@5{WyJ)4a6QmlrmR_1KN8H;*(Io%EZujs#k;#0(@aH3GC!7*_xi?KA`2a z8gA|(C=PT$hacm9X$J{@Y6H&~W3s=wDVdkCnJ^QWq7N(6DL)Fw5StpCo>x}7;=;6P zGPE4sdS7}FYwA%n!yLmz2N+jYOLnA*64)yrtPvbxfR^g{3PA*g%}cI0qBa^Re_P6U z%nE&1*Ni~$=By+_#$~pLl6h5qeq!1J{>mT|U`z8qM6o+%5L>(P)t4(m2}um+p`q+f zdvk6IA}E^EtMqoK_34)}@V+@66Xojq>v_y>J=+adVqI5v_hi-3PT^>CLi$u;m0^|N z9NC(~m_3DaR|oQ&#=&TuZLq?LHj-ltui88X)n6A{*IjTuJ8-r_^h6s==&;wPy>(91 zfyH(m!HKLScWRGqDF25sCue6Ww{6hdlcN(onVCBn7iVW2)*NIOF z&T3QN(%)Nez;q4_#x9AHG*$9h&8{@aPvoSll zHg|{bzfx<%O4nq-P1MPN?CccN5;3xHl@Od#Y!kKk&{ zE}n&k>-lt_#b>6h$NA$u`u_L!;WM!eTuhI5YmY0s{Sg@n(DX95veL50Ca}Q0e3-#)sP>ny-hl;ZBQbU+r;aRx zlXWC+9ViMc&Q{H-&yfe*qsBVSd#F_EUa*TxKF-K!cn3-cW#;WPHh$in;18~S)V+YI zsi~UZzi-S@!cek#XEvq>KC}%K-+Z{%WV=h<>T3&eta@EuzA>6qbAa>IU8q)sLXo1{ z1Ae}gc$5+fIiSsj3*kz^o8BHXY>Rkrz}m8qU7xE05{-AsHA602q_v2ePZ zkd779ZI4Lr8w^(YsiHcYC~j$im79+zOS7`FEeA*qZqe zmy~q8$oP+Yc@ej+!++vjY*VYbl?;@Wy=}Z66;7hiXR3SR^C3*Bl~K@ie;IbJdMR2R zE?icvH3vzti+Ws2CQs%U)l%R14T?3oHvedEe|z1%!lBor_Lf}iMN_y9D{tn4bOeLu zHK`0>;`@P6K|^j_OpX=z#wPX%$Bnqk5uBctHp znyk# z)#cF8#lL#N+Y1eOg@t7E_8*r9)X08wHU;LzTGDmfB`>9{c?Z&BJlktfDk>_%#eT%0 zf3!~2z-ZVUPk$;kep0YGk~3Ecm71A(u_2m&s;-vMaf*wZ+vRtC`DGvn#bm0Q$ zFs)J+CE9Sr#R#@tjzC0x{pQM4ncIM(gQMg3rSnkBQ=B*yZDC=Ii+}M(tz=6LW(H?B zx2{T`sZ#e}Dtgq8E0}_jruc@pm$%67zw)Z)YOlMwxhKVCBKx}>tvY)ZkI#nLL*9S!R`C2s##%upWwSH%)9=F>Gc8CE zIozTcQzBG6HPR5@4!)xsmq`;OMnUe%29eDAQ#M)<#69XWiVY6zfbZoSx6Li6=0NnR za>5gZpxB#a>5d(IO;1yGgGgo2I4%)wV}|ukcB8)-Pp;gDFu(g^KJv=mOG}p(Epuw{SLDr zG!Gu6X6VIUS#|%!#D@v7>ap^A0;S%|moG0vkYU*LQj%nSl*4r|gs|$G#ZdL&D9B0s z^baV{uCBH^q`sb-n3%X+&w0gj-j9bdbd4RLBg2S=o1;k{%ez~15|WZn_yK=cr|^d7 z=ku&61c=SBi%~#Wb@cb=?HAgG20@&?{abrM%899> z%>2RpU zg&y673@P69nlRK=APz1zyDrg^2(N@uNFbG8{ZpTXjwXn2eHB)_ymLVa*s*tHC8&Ku ztbcxXa&%7t4M|JHc2F+KWO9mRec-`OSRgE`?-rMol$83;SPqP!8~IcnzpeozNL!p+ z`Ji|(U}~of?=Ie1>?7iCFM$cc%(28r?$CGig) zJUFaocKV3149|33DQTA^y|R)pQJt9yDb3j%N*b)!O`a3zPfNggGb|+yZC`?F@8-^2 zC}w)={qa=HOuxe?Rs3E#-{4Umax8~j%=pi9keBmZR(AcQ!We3Gz~kWKZ$B#>58W0{ zfhw0cq+CasC*p86Mlw8|u+(@|oiX=Zeb?FLz%Y-*X>o%~)6*8D%jl-aO-5_5yV!*@ z_9>eYkC}EtP$EV~FP}T-=q*e9TN3y|9_l6HG0c!L#)+9USN>)dV2stVeq%A?@l$yq zZeP%maW*xjehhzi2ndH~o${hdi|^BDdPt*Xitj(kpA8)yVMRLv17k{cM6>aNyuYX5~~<-eSK1bBre*q zBeO3LSov3+lQ`$w426ch>3)%xgqvRn!A(t|VWppNqn646>RX|#QX1+@p1Dk8gfFzb z5X*{O{C0R>0FhLod9?De?MCoJDI>4+8ZTz>9S@V;-+;hOe$|YPCBmwX>tVp|_gpl| zO>b=mZext4ifU#}V5Un^+&%$C)j_r81T#zKBj%2WjSQWXAC}i!DtTGB6SN4n*y5uxIqs z%<9a@7`Dm}E9a=YFN`2Lrg~*_^P>!cW9~v_va(s9l-s!Q$Jpfgj5D!5w?HAvq2)E9 zilaON5HpNS9V(HlGwE2c+uiNBxg{aqta6Na&>Mlyeep8!VmOqB?rCmb7{;uuj81jo z1`1IB3TSG-&II-kO7Sb(Rq>(~D=Qf;ZCpumtl}je1;WL-CXDLx+4|2OJ#xj-J#Kw= z(%2TtZMssW0G;cAPdd~R%_e6j&QWZASO%)*rznPr^%@vqK}!(Bk)`; z0#^drqrP2B+XOb%r|xY!ux_jw zR`L3r+z$l}c8b&TN`hQSWAn%ukCMftifA^n@|^en7G!H=pXHO824P(0-WJ4`5ZLCv zeH#W7cDLC?l1KBg-BQAt)AS$M0j+wRsM+?Mm$x~!==PsxtqZx%uy{JVyLbEaSmUc+ zWONL;w63BMq$0Wvra~bA_BfeXr#l8aH9yV8J&-Sv_n*P7sgcnMy?qWjTeD_U zv$Hzzy``mQdgj907_GNg_f}R{S9`f%YoGT>jl`S`KNX@8`ycJnSc~gP-jgp5Fl}r! z9%d-K1p#K|O851Z2F$L}zocpB-pABW!=8K+*lH-11$35Qn5{sgd|lNb56?mVL(*Y#U3}uqw{hb<#9SfqibPAf{0yQ1%jU+ zwX~QScHjS$Vd-^lnhqU6Yf9O;$#BTJwCD(NuUd@#UEd>eN50bN?7`Q@H`gKXYZ|}V z0l-qJ&BU@OA8*~^_vhe5vQkt7wxHII(-LRBGd26t(z5y6c4=uCs^(T<{7dR4V!tgK z3p*sEcg|T`XLV_u{YY72sN`%t#QZGcm#`txYMl(>h6i+qi42mtD{@Kh!?{3_!0e4Drn8 zj`xMy5C8aJfL&^cjsOpy3Md2EI)!|lq6w9-|F=A-Jw`g2`TRKPp>vHQBnN226*P+-(v?=RaH05M2Vg3^XJ=0)^x;T0wjXX3372M zDbjk*aLaUb9y&Wam-6LtDbn|HG$2 ab_KtAYD753R|debf!;+!?LsZPd;bkSHK0NO diff --git a/dev/_downloads/81a780d815116a5eb737d2d484c44444/matrices-21.pdf b/dev/_downloads/81a780d815116a5eb737d2d484c44444/matrices-21.pdf index 9d41e7a02568f6882087c96e3650ce05c71a0a9d..48f3714539a8b3230657e3dee7f47341bcfae4fb 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#>Ph5#S>Yim;tAG2-N@p delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb<|by_#S>Yim;tB(2;=|& diff --git a/dev/_downloads/81f16477713a2ebedd53f1c8ec85b754/plotting-12.pdf b/dev/_downloads/81f16477713a2ebedd53f1c8ec85b754/plotting-12.pdf index 875e7dda521908485e8ca808f42978a35221c372..d0dc2dc9ecb54f05820f4a0157f9ca47e9385c38 100644 GIT binary patch delta 19 acmZp&YqHz0MuyGM*vQ1lV)G`M044xIX$A%W delta 19 acmZp&YqHz0MuyG6(%8bpbn_;e044xIzXlHg diff --git a/dev/_downloads/83ec70596dcaacc88e256e7679fafcee/matrices-12.pdf b/dev/_downloads/83ec70596dcaacc88e256e7679fafcee/matrices-12.pdf index fcc07ab2d1f9021d9e3e0d7f58356b7b563d3cbc..6e5f01ee3310267bd81c1e78a2f46657faed54e6 100644 GIT binary patch delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*jg5>AEVdi%VRm8$0JRnhPXGV_ delta 28 kcmezJkMGMrzJ?aY7N#xCI(yg*ERD^LjJ6x?VRm8$0JUHWRR910 diff --git a/dev/_downloads/865dedeca3d1430244910d89d552e5ef/beam-19.pdf b/dev/_downloads/865dedeca3d1430244910d89d552e5ef/beam-19.pdf index fd526d43de740de1a7736f8d72d08d55a3bf6448..38ea20fe607dc6c4aa342a1fcf97d9282dd7dd8f 100644 GIT binary patch delta 19 bcmbQ9Iz4s696dHeV4I+xY<|9ff)ck1_f*Y diff --git a/dev/_downloads/8c3e8789c867600d80b2cce11272d81e/matrices-15.pdf b/dev/_downloads/8c3e8789c867600d80b2cce11272d81e/matrices-15.pdf index f2ac11046eab633e669fb2a6046b3e94556ff96b..dc52e2e67455c8546fa2f82dc9e755f67f61d385 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#)f9w#S>Yim;tAS2-g4r delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb=0=v=#S>Yim;tB;2;~3( diff --git a/dev/_downloads/8f6a7c938e347f134c67566d5aef740d/plotting-29.pdf b/dev/_downloads/8f6a7c938e347f134c67566d5aef740d/plotting-29.pdf index 959e2d5dd5873cd61f36d58e93269b97a202bf94..87a59f561ab0d954e3f109e5de84e5981f557e36 100644 GIT binary patch delta 12945 zcmZu&c|26@+pknoAuY=ONXVA#vdvSTtVxmVTef5;`*M=4tl4E5iBh()Wyw}##xCo` z*vBA)VHo@Ho-_3OyzlRM`|CJ!pL@CP?{!_@>wDjI#2yWeJz5-b6wp8{evO6C?&ubn zZ+!cD^)vmmrzl%0c{hy8$=fHR((F*k8`Mh?j=cK{cWntDDzDcIUR9AYW0{pJT76@n z9??&&PijH{+m$f#W*>|^ql?&ItBK)QY9Mc}DtnRj_jgd}-R-iy4JX9%cGTWR3`g0X zhC-49ymasPDqhnT(9hM_mu%QygTWN`mRFjDNtwF^E)83!xEFRg$Y{JDd1ZCiLalvk z_JaRDZg&IlAKkZCMO`%IyMX|blCU$@OLi8g?+l|8XZioA*%`1}bH<)`r)+>HWy(j4z;V{n^oH}&R zt%k;fyAfv(uUiVL>hUGscZtT%{O$&YGw1WD3)U;2oT0?-40%k>J3G!>xWtU6IC74`koo_`9nL$Y*%Q zTh=UOGlB*`YCXnmMftk=*x}bsf$1*2OtRS})vq+JM8L1-MUn~`oyWOGG-skHOXTMj zqb^r1=4F_-zChi=r01?1*rp&s=$Kabhov2r0E8qFzO@fPO(#L zV0FjYm7hG{;s1O}qa{!bfG+D{TchA#@@o*Z(IeeTo`>Dc(H#uQGWxw6pp2O<3t<=p z`g7_-pf6Qst{erY#WI>@Oqn0ln9{b4c9V&hEV3FXo1gOCgT61%rlUlALDkYyON2@Y zGJvRfVTubQG&obLZin=l!@+D0zsCw5js-!o9)P^6?9faujE83G8Vf*D%YpMr5Aisd z7^N}Pb_enuRJ1M?7W62h0dmY6kr{C0|2QD?Mu+qfXw8;X<{qdRo@Kb{!t z(j83&P}Uh4>FdGz0vhUn`7zi{)p3f!37%%GHya|bDc0n3c%4M4bs(1yUNuNuwz$c$PKl08sBB4cuHu%)=aWDp2pD= zKn4_!wVEpwU!2O}ZS$~f^N-q`4c)3Oeh6apY&!F%OBMuQDw~r5?$>Qb9C2s0TWa={ zVSyF~#Cn_^-X;R$RS}W^ZZI2c*<$$4Nc0!SWEV6S+kWQ|qaHF!x#2ABi1rq9jIHKQ zK+&9|Ig5j2#ota>lr_p$dv9HT4+L6p|0-)y;aKF1l}F}?;YHavk*mY9n#yAvcCCK# zVDCCf5PV{GQ(nS3Rv%ZkSK+}}+f^|q>L^!CsxN5N^v&}?j{j0hqow=Ff_&JwP`ey- zm09lbOZkY%wb+HbA4i_^Xd3bx5lY;cV1tX`9H%7V4my;;&jobjY^r9A{?ls<*z2wP zwtbu)h3hy8=Svyguo={n0#ZKe`I?l?&cYQb_RVuoZp1HZ5rj{eWL&e(93ACAM&%9x zzgaJ@ep?Y;^0EAsX>ZDjMY`GdrEid=7fN49BBtD!ERzd|PkgJ!Gt5(Wd7SHyY)TT&X7psaTWQCB0Ep5d<0!A<_Q!_0!&=sy6HXZ9dVC9=`?6 z#@xvc1u_jeE!92Z)n}W_zNAL7XvVics3j4!N2b1N+Y8YOQuQD^lk$&ArCQgX_3qdz z=|Y=639A8`WgalF= zhOx^y>Za@yFCH^63ih2Ui%&iaLT=zx8CShimqyxg+4G#wi09Y_B7NBsVxMyH#!SU# zpX7Mo#5FBRkdK6ACeITB-N5upzq8U)U`s(E%$FWag`iul!H>cdQmtv$1sib-q$UTO z5qx&!KP=wB2v1#ZCSKgLr8EAi{KA`LH#ejt?&2L8j?a?bmw@!kJU)uX@@tkOBo);D zj4hqELfqJ6Jt&v`-VBT{_>jOtUu!V@(PA`7VgQjomR|QhZ@Z~#rF>gB1N($s`UcWC zCX&?0df7KoX*;_zZ|5t!)xfGkr#=j|n)Toe<|#nji*VKC>JPwv(!HxLv%bwjNgq_! zh{7uy;&&EbZ18oZ1(<(HcL5vGrPN-!c7;2C?75K4vjm4_b2XfepF)-sksp4o;ll_C zv@-gr32^fFqz&Z{lvL0{6eqr$c}+?lKce5zW9Pz>*;JnBTZgg}X!MT(c@Qv!7X{}C zK2_Rgl4ke4Znae5W1~5wy?Iq{8mvoqrqK=I9Odr0ZGA9Cm>JZD^L}>X^OWyhp%QkY zx#MkOy2V8K3$+oq;LnZku1Lzt@2GVdYU4oIRWTO5Z#7hEqxcTGOg$`&wL%TzAkiFE ztzq{~@=Eun0r%mUayD+l?HjXuq}2QnhvzB0b)NQ}WS2IAL{%FR98HbGDx-rTf;GJ$bRCPNatcDbvN82yg;vr4k1=*d;EELd@qP%$ z<<$un5zs3OG8crTuyZ|W#X8;9A8Iiv?Hp*kK;Til?#kl5xO5iH^a^(YGGgp}W!3AL zRU@7y)~<)tLe#<+HqOnrp>ZXT% zM&~#!&Tu==>3h@-{oE5w-+_D=xN{cF@|BsQj4@zvpt|Lgx*|IBJxiHjbD2BP0)3TD z)^N`SPqV&#ovX+4!zr8+mB6hD{-RD<0bR+ulD5^74QZcLJD8uWwCpjsp&4 z4{R{~ug5yiM>5`1bQ!mmbop`-S05W8bEMM;V+a>I2NKMh)?wzSab`e5c~Vu&Pc_!s zAc1alsmyF5=)oi1Nk7b>;KF2ZEZ9>E*$st!8+E&%-BlP(rU+hjm+MmOdhe;|*)Y3h zW#XUYo}aeO$2a}uDKA>Sc8X($2?oX)nShF5FxX{NC$Ejrv!!j8l^uDSG04S+lNZ9l zl|lz)C!6H@#egN>9IOrg-8*As)U3&=6Ns$TUrJ5w89AQsWI}SS2+o>Z9nn|D7OvdF z!j)1o1kZ`NA~kFb@EG`>RzTEuudx&N6`;VRZUV5M78YM$mi-2ukN)R>wz+CX?=s{c=GVucU1p3-p zPvpt&L68mq8)Q%G+Q_M>%tFEAVCoa4PwFrCw&6Avl=88K^-Y19CwRvtgH=%f_5p_~ z6(ZFTVs&iZ*BV}Q8#B}7_GnFQZOq5dcea?~|$|Zg8P7pMBnm9cNL`C-mOpnW?4^H$z{wsQVH0 ztcaJ#cxcAfguYJGulY;I)7!$yUCp*aCe4KS?dK1qx9UuiT%p}sHX6H9q+EAD*>!C~ zX2Scl2udJGEgm3}`hIe>_4F+?Jdcj>HZvBTtXB@*wvCA>*taGFJ;J^bHPL!)Xg=1} z0HF$dFqRi$4i;<#aEf&8Jlr{muu^aHT4daZIqE88Duf1_>(gq(O?fjq>lGyRJnk3U zFx;T7)yVJ4v&&cvckTaneutRqk=YRN6`W?;hqa$oGahTEub9-szot3M-A@CCy0NKCrJZL<-tzgRE|Y`(u56lNI_ zQzE`B&%?|tY)K}Y4@KzNFM->P+)vX1)h`P@f0uh*YDlO-E(&1S7T%j5z+-XDoK-%h(;3|!v-k=Oh0{8< zLnn@t!IzzT>a$fT)X@>(QY^^gsAdn<*u9C9IUh!LfF<+>27tTjj5G4oyG+Mw!PlyNBT06?6Z#uvpdL4zch}uV6z1AZJ}M~SI6nX%#^Pxvi)e{#9UC- zTpRT0b{j0QQ0PxCGH(cR5XW@fh82Qs&U>rw^kGvR^-5Y zue}z*%?*(pbB(Sqk=D`R_FH(fT|uKN^bXj=P=yvUirUdHiHNkT4p0EoR@&m{pAa)1 zIAF$yIoMwI26pb2M~0vKo3n@qNnF4*w~mIW zR5h4iHx1ZJL-E_?t-kEP6gt5$RT5AUAL!;N=T=Q);I>syr!#}71>`gwr?w;sl9lYW zKThK&mt5;+pAq@lHzE{0PbsOFZS>yap9##i8X>jl!B&b}Otw9o+PEFO`X}R(5*%d>w5E*R59Sr+29v zb^x8+Va=LVzBmE^1Q2iBYUwHiVOwyZE>-4vXr8AxmlX3v)nsL>Ec=LY7iH$Dqf_>} zvUtsu(f|*`A?`w{BN&5v0CZPR&+obiSw9LG7}6l9vDb_SvS>ztte|G6ehLXD21ch{ z?_pwGl25X{E7sP9DZhPyB+DC`onIcS*7F9@_e@KNK z^&zQn!OOS6-M`|U`^C$+Rd^$gIkOV$$M|q{O^|;JVyM6XvcqSwaxI?o<_RO%6w~2W89mjxlp0%RM>t) zzboovqUvp=sNh7@q)$Swne7rKE4KGToPLK-aYeF>s(sVh4g1~8>s`-GX2!h>K0Iug zinXehzdzDcO**XdvpZhv)^T)!xyC@HioVj>|720C!6S}x-+)P_nogK3ll-mF z%;4pt5E)*vK92$STm_}6_4)006<<3omH{-%vsa4_ircaxV3D07@`&g*M z*s0rIesXjYSq zEI62wM!HHF0^w$TZy(?PYqI*~nVQ1x-?)0X zY}KW!ZBf+H1t`!oW7Ar_@qok}y_n|#L zotmtsnUbV0ji8hR?p=l0e^`8`c};v& zOQ;(0LlN%)d9rl|JJ?EPjnAT0X-0mf5dQb_Isg4 zwY4g}*qHCtvZdq7hqLJG`+VSvtK0`OrwS9-gIIKIbf(qM<1nyVddo*Jvez)W3n<2w zT_nly&$y~~K?Ka^MEyew-BzZ%)j;8}Bi+3Tpj6w(p<+o>-8x*Gyyy1TqmHQq8Y1$; z<&X~3!=68|fr1*y0eVyK@Z30{iBU$yRxArJ8g=D zk@J66f)ze$_334~Z=D-=wdP9q1Zx5oIeG65-*DJ{)wRP~l;J8VM343F%+~oiQd=M; zfTwo*0Lq~tca^)xS-7*^f&rx@AU1m3xkb5yc(H76E~>4*`HG1S`y?aqgF`0Rh{?%* z%pA$qoo&2)#AYkxATgrbTe(o#vFNH!DB6W823RI(z9sSgR=w#|*19Ad44aCv&~QIJ z%I+x_WBoNouj@G$pm+6Qh)3-Zm=~o&gNLtm zOD={Z1-GdTOk(7IX__=6`f6tg{lPqddm0$?wgW3yE!-e8GIyupy)O4v*i$H-G0eGz z&`AUWm_m zBmJxXCMPEb?N^@%%P07zl(J~<_vo|Nbmnh}4`wqWtMmfv;wAfE8_vmaF>@ z6Hc6b{7ixD1LgN4Ouso0+Ih|SUfNPr zq36N25^Hjy{J<5T6zb4xe`KnBj>he>`HK=^Uj6QOLA6KNQ%`x9f8K09u>24Ybqs&- z5aVndz4eef^kBIUghK{&&B?EQIx@o#668!c1&?Jor%x0XlWj81KlGPOo$ri4uy>B%D z>4!1_P2&TV`5sIS@)dU?12*u)PeR0*n9Z8=XV=44F?|dBSg)-84h#N1Xvz@nzIw?; z4`5{LneiX$t3EB>y~AFF8U~G4rY0E)K(rtbU${1QeN7RnqNJ*ffl#;pzZuxsLZVYl zW2WRxcNv_**K2EqlI|gTb)185-}OyYXO}DhEMsez6N?@j)`rJe ztymfe!xC;#>KP|5Z?ET_mKDZ_@kff=Q;&~*EK||xn(LQ_S`fZ*FYTkz5#olqpARCD z6#j4bs+C$8bsezxz4L@bBSLxLW^=7&{ z0Xd!mHG4&U4^5&zAczt|d#{9LpU*}p+VXULcSDcysdhE8;^z&V?6WmOifY6XSTyoi zV}e4u#OV8vT?LOKAHWt}O4O_hU_NyvLaR?Izeu@UG6stPL~BQa{j(>USB-BiTXXY< ze|J^z)8KCPM`e7hq2<|O=X5K+{k zRnQiz{QSQ1FLqpuG{KI&@a4%(lOz^aw5)o+n4{dsm%1s*^611&$Gul!YQ{e~y1w_# zQ>yHHxME3A4I0#RGb(s8^f&P676J98BDa-eB+S# zz;%9Aas$OLLE zs91gq$~no|TzNe2^h_yi_N%$mB>(W>Uw-?KX)5AS!iK{e^)6=#*j ze|qC{c!{iTI%CVK4)#COvX`$f{Q77dbaRnbwM6mdZHBcub@qALTY2KPY`!^q6|Me* z+}D^02J<|(T`jaP#15!k^XDUU5k-KABpA4h(3Z9HsAY7Zlry z0x!48E(2QGzwIl*s8rDNifj&&EAr(4qYjH0N*Jyj)zprU8z{a;?&;P*TuzGP)WpVE zL~ZT31rYi7u4A%h{PSS|L|Mt>wFN=rGqqvRQG9F>hjjn2rGzx7ZloG+7%hd^J9L3@ zn-FG_Y}BBv-5!5P9P~TY0b~@ae=i;FU-LLsVvCFYnav#lj7ItUy|-@6hvO0_}XU9n;|TZx;6uWQakLc=xq(9WLa3U?KAO{|z4z%T zNJ$`h{4;m^vu-*PZvp3`uFy|L0*ONb0KvUopR+128uK{=GXse&s?SzEHZj`si3##f zzQ)6!TJyaYUq*Ax#%qd2--P59>aJ(U#OUB!KyJa=v0iU>M}3>={6RY~&8zE2dC?N| z)PN*2i$Jw6I0l<&GU^cK_sS{x(hRHIwyZ31tKH}F?KsJz>~kk;SJbyULFj~2o6yFs0q`KmN$pX5TwhC%o5Iy@x6kvBA0v?o z(fE6gEBs>#>DJtN8me~7bCwK!lF8k<1q*YG zfA{2eFc|A?+~0d=;4wk&!29-2^ZT=k@sj(~q=Llcyx5W(AH!>ja@9~Vm9ObAuOFmr zGhsn%wam{_v*rriQfB~zCt)zL2s~w~ifq<(e@}{&&s7Fq92EVA-Cw5?XIrfV$2Q#` z^)t;pWW7>NX;|Z4{^uA0NRVoik@0{!03w@fNHqe{aGvB6FDyEOo9&o(%wbPbwFmNn z=~j%qP|PZ;H_qD?6c6x;e*_0p>T$n04dt-I_Plj}ADu zUvwGg!*Cw|ey$}dx7kV%eo5ViRlZ^l*!Iup1C@ZOS)b-lWzD+enf4QtphnT$ z?Y*PbD=Ft!H~b%h+N&1HPSwW6K9V_1NPEA&)p1f;{9-m5-+vb&oP47};v+CfCd*}k zd0`_yNQWR-;VlfCrK9eC&*66?`|=3Ad{)$t8o0X<{oSsuK-V{OI#2oYrSo^{K}T8H zyI(z)H%+`4?uzBZq_z7ikr?wp5A@S6w8I!*BCtuS~$&eB#An z+ZNJZ2GA*s@^+dDpfk@s76(@Dkc_QM1(wlk%7{DeXLo!^%Kh_n*bf-c>FxMYJKsNyn`pHkrOhIg z%e@-wU4DjrV!5$>lL@gMPkM&9W`MeE?qJf4J@e6jaMgj{aKRbWm7RdCoen*%AZQ%bNjvVz9mC^9GvVv|5>#9$ zLW{8$SC?TpYxePFUzB=;!jlG1&V+xQvI(j#F2nM0{t+J{)+Dap6sVWKJ-hC zSW~>T_3P_l7b-2*f0T-s(x4XL^*r?FezuW^*_|>Fe4G#UCcQQ7S|e1d0X&$kH)YKs z3`EcN6s`EV-TM^+U7mSPcA}&Cajzz_hMWL~CSg9yJHuLGEHSSE-fQ;YGS8C}hm-E= zOR8x@7?;}3m_vXQJWvEUSKh6NMZ+xyS3EM+&!4(iJphU+Ii>s(5`9MSO6>)M91HM+ zmbMBtpxDB@{512#o5yEJ$5|pwJmv~rh9n|BZ$U`!Qn=i{Lt7Vqoy#Lk7Oq?~QGLrg zQxQ5{gHD8LyUW`t=aGnAoLO{TlR$Uc_z^v#wr3QF}sFI;`udo%p~+PLzXqzq5e!>?4KSUGh zo%5L~CACD7)7gRP$aI&V332G{EJDTU^mE`yx?%zn1-glj)$IpzLD)0v16^o;M$ed* z9BHU2c!phF;;yz10zCfw^f-A&oV)IH3}6V}O98_qkPOcQO>sb|ugf2rC{U445JV3} zS=<->?XV!S0cmu-MqnUOY|SrwS=rT!dz=cLzJZ2_(}fHH?bA^@Zp44=bKVGiowhe! zD~x%PFHzxriC*WNdb4Ytj4*eWG(b7*2$OkrFxl~CLU^!F+3^jb7$v7OX4jRU9*TO3 z?*C+i6Zr^cWkA0pi|T0%3;l9Uo6!Z>`*9qmH$B%X&5e(-=Z{;@J19})HV)}WPGSe5 zYG^}#tInb*9b6H%T0kz=nHdJjAPK0rxc20kaOKij=tkr8gBn`!s@9iNm4GtJbTZsQM}#(NoYc5#w=4oJ z^?n2J0e~-yy#1`ua^xo;8&_&Mnqshu2 z%%ig$6Tq7>Y;}`cD&7&@)=W~Pt*DPp8~G!JH(a97*;!zsCONuynkENxYSzF%s?UL0 z2gC|SWELUZ4*D-}kf;o|+>J2vV3MT#iux*Ks#pl>i_5I>T^&B08~nOf>Vw~Rx6=(r zkjVmhn_rkUs6$kR_etsI(B)FYqB6B1jA^AB6ij^V-h`Jas(*6Ci%zZGZ$^O4F*a!=vuO9T?UT2JyzrY)44LS3xb|h;X~x zYHfyRI>_^3Nw)~-jSt$-er218lBy2OhACgNm31q;anga;v zM8N7B@!i51#U?;s1Nq~d7#+>YxXBy$aca|er?j!UBw#;323X$4piD`?ELzx_j8<3u zlD*;M;vZ6a{0=IYM9TKto!{Vq?J9bOY>{?ge$zy+E$Mw>^3ML|rW2yUaBq(^ZrZSq zirL@YiD`I7J##gk0NcGTOrCAnBxwSBv-?Cu!_I8O?(UhbKGQwYEE=(o##eGQkfnWh z8Iq(E%KLRdrdD1tq2zuUM zaa`F!l()JDN;_dSkT&t{MuUzGX}fy@FmJV?IPcol6KMqsLh|KSd<`#Lsa*Nmbj#tc z>HpZSwrwR;9IWdsLIF$JKP2d#T2Y@Oj-JE8G2b$K~y`zKOSL z{dUDJ?@ejp?RI0dCcrAQV90~ollgtM*8?6}au2m^BpYabkj~xOuhv}M+*T%UjB`CC z(>Lt>9^YHTYVNP4nbrmDZux6{ugZ}UMkkZN|40zPRP=c&{V#j(lhxNU` z1y@(-D&BbTU~hDTZ@Czrm5iSxFQWEONcx+Y#orcXKYFvwOmyhNNf9woaS7>on38h* zpwa~`acR-NZbJY5a{TKwPSpN^47oFiHb@7_d9WEF{%H4Cn_!RuStmA6g^lJ@V{0iDfaI{Bt<0uwR#C@ z(SJ=wO8l_H|J9$kwA8=aN!G-NQjI4_e!Lsq~d*5RA@vcPjhqM I)l@qDKQU6sBLDyZ delta 12985 zcma*Nc_5T)A2;4k2}vbkv>|25zBJ4!2bC-(k*rCwj(s$!DGB4=i)&$rMytZnTLZtpzdH5M zY%q*O--Hb3+IHd1YUSYi0vcMQWkD-z0R`&|jWM&>8Vr+h42Su?zPhYZ1OL~53Rg`8 zzZ|-2MjiSo6W^e)RVMK>)Zk348DFefqck?AYFDp*Sd*%8AuWm@3AbKPU-wI%g)o(C z75V*)S)MSK7i$p;(^~H>#dgkHCQLKrQB`YHs(b+{Zf+$Zb#Q%YiMwB+&C6zd&a&Oz zvYq||+BNStkm>%U<@p)m-={P7QKsLCA_pI5k+~41(s+%(i|;@QUW3O-{Gq*>S`D6v zhpFseNGOIb8gH>AEXBG$l1Qd3uOugt@Uv83Ij`!Pf_+(rHMp=b(jxcbR^uDm3m;Q9 zrZIaYyX5pwG9y+c=QOVwCyf@ zIvpLX@bg-N`UF9-V5JHT>6b^BHMxgc&=>vQF)L*0iYa|*DK`g?{)i5}PA^kIhj$51 z-FVQ~`v*_({ji8Rdz{v{`&EY4;olUJBMT2p^}OU3uWj1I;}8FFIB9pm8>yZ$?oY*a z`xmyY9!T?7ExC`i1FN;~=+-x$yQ}*?g*W%x$+~LzAqR|w;K4@_3){-h2)6rmNYCbL zJ3DAb%iEii<5k$cFV`A=loH64 zBnp}+&0K%b+%&e0#2Ksd&)7?xu~Njn&y;3d9`rS3jK(U>xPph5+YULBpf2uDafKqI zoLORE);pzPi~M3un^bgMK)x^)=}yN@-SYuXLXZ=QNu_O$@kCX6|53>{vOjIZ$ku0T zfnfw@q!I+a39?P*xNQooIUMYNWV06A53CJ1L!1%>VS_zb?cKkf841C@;(s}a8Oa|A zUioc@J%oF)*nkJNk?cNfDWcDQIe=arHA6S;{Jmsm@ zmjB4EIj3Z_;vlcPCeg-6Q!oriT(XoFpZoe1{<$%jm$tFaSp+8(6kGq|NP!Rh2-|?# zyN5rREuY8;RL9nvlMa$|Ubn|woUq}gZ75r0B+Ytb@W$8#QH~Hh*D@OTK1pA?Jj<&X^95#{ zbf!17@W}EGJ4p~8{WJC(KiejIG*16WtfM?$Zt2f`d9yYwW;gFAbtYTm$F_bD4ygrR z8k-i|y<6)IJJ?NJA0gn~ZrypWqQlRQRb}W$Vj35$CShTh>2LHUVevU&fi$iSH~8mo zeN!gf>^)}#><*r;iJ&KsJ4R5xRDgqe)iUK^>-=AzV!dkD{-5$sBc^68=%#j=ij3(~ zpMks0OLz74+6Czq_OPQ1YZ}k_=)iV))Go+Gd?%Fu^f{F2`A&AUDuhxpQMJyvTh-={ z?58#ZF`~tnG^Xu)O}pgC`TCk`;l)*-BSm5`!iUNWE|3Y*ADjmZ{N@Zj$ZdL}zxc@z zzH_R^H##C{C{Q>+OYw(sh}A7)WvVeL(-h^)Yx&zjGiIM@>$GY`lv79u+jGAXq_?Gb zz6>do4gm2{+l#%4kK*#)KFYh@^(p1|-Y@RB-t5gRds1K`O9*4t`d4F1IW;y7^IYr4 zi~cpyIKC}j?Jav_kl4S+23AQUkScbnSORvAW7_j*1%zww2{Kl%9HHLd-%?H!Z7G>q zF%ui}_;NsgB!+2RWf;7_axW0HgN90;-gAo-IOJmy9eQD)MzyxCU^$W`Ik@0kE=UwM!o*`ZHLI1^NeOf(#YCN;yJ zm3Kf0Ft{1Tjn%)LNV8eH8$?h+p^;#-LV4tj8-0LGruNz(`P)I*X<_k=kJ(EAkqQ|= zBv51>yh4+m;5E)S5)cU}44#E)Ho?*4SKr0`KDNDm+QC$7$x{?s&hFC|3s$ExxYHiG zFT5^D_bR})Da<%O=&za644+UZl4Zn)_JV@ZFMdh!-W3n!xdXRSjixU$;zx$3+@DVK z)!{pS;pQBU?o~gI*NTet{VuvEq+drfebH2UhW@zfYsud=^*I)OBNjR$q8?&!Z6VxiL3vd^g?tmCE(c5z$%w1^ zq-gRJYf2M}$s#n&m8|^4|v?K#oDnAmX&mYWVy}}NMt&NNRQ(*`y0YQIL zaa@e6RBPSGFhFtw#7$GKdNb@S{6y1BjhR=g#6X1u(@D29r3w(xbtqar!$+%N_YQsS zb>eh;RnLg3cB^SevC@mz$3Vb$(6<8%ygOcSM8_$o)FrSKa64EmG4Ow3afG;(x&A zy8v8EV~fonMT+p_G^2trl~az1ZA-keyulJLP+-0bP zf)a5Fm3d0zyyKy5uAP^wdqaJG?@+A?`*HSMMyx{#@}RBjwU5W{CZs$#vsd_+sDYq< z#qzt~&RXXlJ8D)+%8!s$$b4OA&_KPu%-Y^ce;`ObDW}P`EU6WA^^r^d?6c#FQ)MUD=FC2LAhq;(@_1qKygp zj+bymc-gdOZHnuqdslpw2YOn*hJ-Rdpq-z35dvCXgdCXY={>pm&P%Vd1jPd}n9{yY z8o`M)MQFTEKyOy8EYux!h8-%`qyQWs-z!@??c_{vKN)U~KH>Xb>t=X*R>j3X^sXuO zXxtm<+{SXy24x>a)-??Ph0?j`Qngywl7w;(3=KGbAGX7iy^;Y)nON#|*$s*(+4;lM zXK7s`fwRxWJ;hcFWnYATjB@~&oR-3~YDEVVt7uS0=MV!0UNnMleU!vGg2T^bh z!IVw{q?FE;aKBb5O?6gQ?1?Fo=w~c86MXAV#%^ubvv6esqaN%4;T~wWlNXnMhkg`+ zWfcT>ejW>uECjg}76o z!&&3&x97)0cc7V(mGCjHh|eiSBdoS;b3NRLdmO%fNA5sH_%XMTU!KHcVkjAf`zkwz zV9X?j>JQ?XR-6fbN9N+2Wk#ifNESogXx@&&|HL#~;Aq7X_O(%5@mK2-AFIyF)LBCF zhWFdAIE2G_!K!bYEAKau6hLM+sQCz|L{F5rg{vJb#4tGDZdPQ{r~NG@1WM>wT?>D8 zX(*4x10h;DJ%0LPnzYUSaN{;zpMLz%0 zH8xsI{d(&8)0T;;ujdGRE81`BT+(M;2TB5Q3z5C`N?T(YQiHQ-`seX?N2w)kE1Q3| zY`%ee?9{S)5H7V_V>&Cwj-6t$O>wVy>a&wFICf?o^HI%>(<{GBC@U4Gr#km?xy0)owZPn^i} zCPdUX(4sZS6tVriiP%fA*`cZ;)%7RM~Q zlcyAnhJOgMj3hfpbdfhaV6YJ_UcUBcyk~w_ksT-24HZR;aIb#rQ?5HD)?b$-IMa@5 z8wI-?I8{VKFTG)l%!NJGY%Xw}0L9cU$Tu-swk-f33sOd#;vE2z@ST$!j8qQvq1bKw z9QW9J!7Z59Lspw#JS712d7)omq$g%u0$AL-VP} z;=Zhgh^4W_`-5i=dO9kz!*b|&nPAVqy7Q4ChlYQ1 z6~A1LOy5Bdl&I2lX=N>!1`43BEunrMIVk&~od+d(^qvlMlhpb3yinWb!W8~@O6BQx zEoHYghhCoH9ROxMb6^N}n-qAcX6rDD|MtB>E&$E&n$CPr-TUo+eoqQb!S%JeoGXut z(KJh?hg6N!gTfD&ICr`oKxW#GO);Nm)5)P(weE)b@UUF~n?goV^=EouFjfl(KI|CHr@{Ul4=W83*tAKddxTNKzCsJ%2s!2{`O zTr#$(x=NwJ>Mu<@3**yk8~C&V0{&WvDRK{pOs8B5eqxhgHF##UvU|_WgA87`bi*wj zzp-cPqsE7qKc^)`S}GTz%zSc> zPVDwDBV{@CFNP$$45LFG$f_TfU$*oO>up6E(OwbG><@`sM1ItH4xANoV7WQr$4G(W z)Gpg*kyGu`=m3oZE^b4QkqMi2$Zurx!&CyR&z;O{-dm` z%waV|&-R$OM);*ljj{dD()47tBOp=5OKhU(1Mm(b@FFe%E6P$84;Z@~Hvyn5P?$dC z6BRfPQOcY(ILM>u6mkQkx8ZAxl#!&s(+F(Cr{yvue{RECfW12MX5Lb=BQN_^qOd1MtiP(WV4Cb5p|nW*BqPV!2D%2|Cqr zePcX?V7=0P;I(i#+`QKv^f$SE5@U-V^u2IJ28E$M*AjFS>;n{S901LfspRn_Z{{l~ z>Sx}NifHlkifU;Fop`jkIxa_rQ~aHJ-9Tg2Z!8?4hPhVBT~6DyvHqzMT`B4jR2(lr zFQEL@L#J-S8*ndnCSC%x$wJo4Y5hk7>G!5gKh9LQMFd)W$C_>vl^&}L zXM+amn_R*7wIVz<>@4`)ra*q5_;vlL;y0xke^dNORH}sXR$$gYZz;Yw&1-&y8tK^~ zAWz_th5>x>-;RJ9f`Q!7?58^XKxVYg`_~d4Th+)v*Py2Jc?u|L!U--OlO6_XTo*Yd zX~WRga`&kY^ad(g;SIO0!V^HZI;pmE)XrRf1@r{xSTgrgofFvpgl10vdH0bBzb8Dq z>hF*s*PG{WaA28dkD(g}zg^#QZcYh^cj(=@Kmq>BCqxayO1@G}@;C{CI~h@b#vu;U z9Qv3`gh3)K^fO?O=`0YLD1*~GNr8tiADs&Jpc|cQ+%r#qRz>>Y2Di}qe3ehwD34?; zc;P+__ee2FLnq5|lQ1kBwZ)qV0^q`WQMlyKYttUZwb$j`mI_t*ks}H>jH=$LK@S?u zDqn$VVyIl*-53sDIHHh51K8{x*=grBz+ur!_D1g-)@8=Mk#(x>kY?bLMMDk@d&ej5 zy^oAqPvzSssq^l{#Y^KZrD=q?2BXz3lY4V z-llqWihotv^<=aUmyqt)nKt?(^&;?p;g-!j8{@=KExdpr1C8Mr_Tit-ut7l7jlJ9c zPt^50cJitrPSo&ecmw}b8|#Y+wH0xg@{DseH=YSYEgUTzR}&4sY)I@*lPnln^h=FV zyk{4F1`Fj_&uy}uCzp~3`olTLe?$$H_^E+*uZ%o{h5xEHDAeTFx>78`8c0w{lrGp~ z(;)6_6Z1AYIEFm{i7dF%5|D0|@9-rIj`I3_*HYwD94px+lQ*37T_#JJ8Z#g?+4Edn zxF?w)YtxXr;$tOJkuDs7gv=_3Hn)49WviPj-?WAPK03!xEZn3x?OA=|7|vtyR#yS0 zx|HhhFkH1@grJn4Wq9IeU37-aeq}T^brU5t(%?0<{0Wy#N8wh2yv>);ESb|gE0cOY zop1C|AKfbD{N;kvZLtgjE@9J2Mebo$?NP3=<;#-|N2(NuLAwEA>P@YP6&I+P8pl+)b+N9JWH5bOua8z`DD=uM_pn{#XW1ba<5;}_-rs?Bv?zQ|n zCYHKWNx@v55@y(Y!U7?hdGMS?_m%eYECCPb^u8hmZ#+-i8S08+MhW#XYwwqcrK3sf z<^kMtGG>&A;)1cSbR2O7(jxBufGUA93hbjHKgR}3j;qUQql59Xh%<>&(d z;|p1D3^w$UY{qW~%Z6SmoQ$%~>31a2u1??QQqRTI=BgpFVOS$ESs(xBxQNrJXRPM? zw)CUg@dp5sq4U%;l?Hx$)Y*rhYXs$L!lCwe5#2py3@IDS?xVq6^wG1)DlT zUa*wJL$@Y;Z*$o$#+Rr(W?*Y%T}fdo1)*oVV0aL8N~e7&*z0RPI|2sh0_+KIt?_l8 zOFhl}%gaADQGL(OnxjmAehF^^>TrQhe>hb)dGny5jeqe(+l=dl;NJB_)F)4YlmcR7 z)kD%PsLYAfdER_|JSgj2PfSkWW{@X8V}>SrMntLp!d(3Oc)qpxoY!=zelT}*VBcSN zIgEyRqw5L*IlIy5M37yC8thp2Zi+AGpAcKT^$D~Brlf6;1n^N=DpObM_w7E@y0u>5 zADp>A$e#5i*gdfl`s-W@njOG#`odX*B)BgBZ$-=HVoIjf{!k8rH>r zH~ZN33asSgr3^I@N{K9+_peJ25<|{))kOExT8a^u%$Sp_I|-Jj3sEKA)bk zc+etH6Y)aGU2*M>TLXes8k3RZMjtn0n!e`xtV45f_Nzu-{dFex)zP!=GtRf(MU3A) z?|8KPwPAPx^RRtocQ;~%aK_vY(x*vWgXp{`{r+G zC0*%5SW87>L1ZhnXxwoecptxT^7Tiq^*SHK1uOe} zs!COm0J=Fti#9NFbFMKUsVA zifl1E_7d(Jo1M2+9vJp-G3^;&WmG%Av}?TbY30td zxX%R(j%8;Th_a56k#KTT|6t@myKV>Q$V))CnijolCNxPNTDB zAiv*uGv%w7LNs+~$D9|emNtJ9%k;e=2s3C{jRV(Y+Gn5aqWBKPv?Sr4s(o4*IJSc_ z+XYNyNmyDtWjN5R_wlTP5qhAoJ_EW#k}U^TNB#|bK2@5!s^+0*{Q~IPF}sX zD+UzC#R!d4c8>$3pMl;w?LA^46EciS?+Ta@6{Np%U}uxk)n2*7Uz-uy(Z{k57?`K< z@eX_mB8I!$i$pbOTS)91)r&L#V|F;_enOcGb(EHycmvc~Q?VE`{%sz}km`m@=6<+W zsS+}aH>se|^_#7$bMen5M;)J74*S#(h?VU8rBLQJ5d(6|-ZinkPoQNN;aS&ay(DX8 zuD^2(irQaIKBoqUUeoZHKZ(dW`DL+9BhZqf@26e2T!+lGyajSTXee^^nlu96d>)Ne z%YIOm_h@PEX!U!&GihpJuiLofjKRUuh_|~>-k1VXSzt{W?oo{8$2`d zqy1XlK9J7C`hGKzxh^SefHRu60v4cOy|86Fu5wf|A@KWcnPKg1~&M)!IdYb87y21mz`pH8elUCEIW& z~eIsU}nhXeCll{B-ALH(S=|xuPvZuU?4hgv!XHGM* z-oH{0G{6gzlz(B~P$VmQkkbs`qNW16UCiz`E zx^c5XCwHnAy2cjT9MJE|v+bF>lrLR4d!*n}OPOG!K&QV@le?El%$S}9jr6uhF3|UW z)r9Qa<@jwLw4<2Us#W&~ThM9OPS@q@YWfdlj-JjoL4JF^r#@vS`^g#WaDJ@Mx031; z6QTE79db^UK_D3wVxCX7iLLz}eS6r|Mp&RFrv-3Su0k_ry$y%Iz(7k}J@-(XdZ2e~ zlA}fpBfq6s+yG~bR}K=W8IuU5t}t{$g~R|)^5(r4=3K51uJR{f-3=8S|BE?lr76M~ zp`WGP*zojX@mgLmma3v|#R!8I9!*qpe+t?^D0dFH+Crm0BBVMG$$0c&?xeOm%||*t zn_>9TA=`30ucztCXX}3_UB5wBH$Pafw z%;u%$EvZn@#+XUm=#QNNy_3399jOmfZ{VJWdw1tCKMfCk7denJ@i$Z{IgFd4HIH|V zn;~EPlyoeSg^*{Vue9C$US{5{B1QQbdG0n1HMt0iZ0Bl42H$orPt&;ah7g2lLInUY zkqp7;9BbZ0hOY6Xa(KDbCuyIN=)eSdw3i5)`l7gKJae~ZU_9>aiLs8>#!p{|)*iUJ zI2cMW{GEMkhsskYp{zh+Dbg45k>ryIw07Ol6Cb57Z_<*p=vlzLq%?cDcV^HP)cwpk z%~N0b!0l7}9qsm@e4bCxNPF16Q10ZvGTDUZErh8Z45+}x$$n1?llDM)Vj`oy%}jlf zR2EceOorFK>|^tSMYFS~Pxl=Paq30Sqj5{n=XvH`v^Ww``YWS)fg*AID4q52Ejk-b6>c@0vse7iw429a7wXqiqx@xQ8 zN&dc?=sW8E@b}&xz{S{1&R;~QjHQf82v@Kfk94SWc@?S{&^bu{RbhUIlJ}?o(@rqZ z$Wb-r5=%F z>0qH8sg`Qr6Y9RZL>F;SJ4j0aY(*^wCgC42$|Wr$)5nwJ-_?*=j%aW2Nl#J|)cZ>C zX)@9M4-t`w5&HSypK^%T%0c_rk%yjW0y1hjT8@jLn34QkeqYSvMBGydv0b++wUx_M z`)H9UG6}P!-;6rzliLr(9_YZoN)4Fq?-<6X7Z0j9WuEew2HbRG<@qs6Hu2AB>j>Xz zboAmg_)~=QL_TIky2^*WBxp80QunVLT;b}}f}EDKolg@K_^U}#;n;yx<4iWqC$ffX zD*~*-f~g+44jT8n>8w#H${|qt%dOD|d=pi&_~5JXue1+{6=5~j_oRsAeJA^f3+^6d z+O%7HXNI|$Sh70%Dy^}sxQEk<*AJp2BK(D+fEDR<8XlUQvgfh(K>Fb#gY2@;8Y%n! zlGVXhm~t*MPKkqNk=&d4jy|o_TSkO=lK$T0r4y23jW^jm2`^NWA`5O!IA|OvtNPD% z2Q|eJbF9c8=0D(h4K;&TC{q_#(v4hydC!Rk6?j5&iS`3FWkBN?CEOI{g=?;8b_)l2 z)knCHop8Sh0`zm5tCAI<%!cYD-PRiXos3BWc$9=*UXAklE=M*(IVvNVX9;vesrS}= zh@p=Pd0=c0{|mvHF_+MlBY;MDM^%UE`F>_ND_>2$|fbe4+{vey38b51)B7E#Foi)5uL9^%Ka_E6qmW^dR~1aG+I z<#J(xbXMvcHgsZEZHI?~{ale~z8ghAgE0MtW)j=nt-ATtu;Jtbg{tzRfiTBFQr*W1Po)u^5(JBeyF=BZsY zXjgYG4gVA*z~7%ggM)&$aR?*Np0!&X?t>RXLnr@Z8@EP9j%`ARQNB54e?xro$UW-= zh;G2VxK%bU^TiDuL>sV;DjwaR58peHEZI%mKaV4qji!t+8i zuj7Auz*lM%q+zfR7$pNJJJ* zDH`k3?d21rJM&o*D*gU!znu96Yl^$|BHyC&m+8lY7lxneu|Zkgyxn;dr_o4}D4VT| z$(p3wpWVQ@Q<}V*2()m&4}W&Lfd2UdG47s)lFt{B%L%@bks@z_~_g ztft~SIWB(Bul~KD{WAi6%IAXV+JlxQN!K{b8RZL^GzLuKM>qH@bQ*958_= zsKA?mv2U2IOV66I*|&Ff0d2;D zeJ33E^tOD2@&Qp~ZQ6O*WF|~`I@zie$;g63Ykk~=3FLqP*U8ul2_2K+q=-X=q^#WM zliu-c>#%AGC9TBq1|V4qruhzX$q$hhP_S%h8U7d7(rfeWc)E6hCGIJz12SRL>=w8kzee3Xn$zqDxX2X{F^+ z1i@a3!7Gqcb!%t5ygLv0_Mm)lejkxxDQ;QP0{1mx$glM!Evml!?T*LI*Pt~CP;F|y&nb$!W$82{7 zEQktLjlh3J$D*5kto-%11l%7JRvem;$d8` z0`lp7!}zVpaiKMOXqytiP=uYy^{mQo5iaNHv7aH1d6%>s-YIotz+WT)`(o!^-c4hL zKvHGXPT@uZ#H(d&oowfy(~);?2}SXO&k;HIJ$`dtB34xo$4P+*tdJL#MQ4rRnsS%I zep1N4Df-6^cDZuWG+>!erjUJ-!S|(b<6G~?eIb>u3w8dJ?TENXQkZt3I)Zwj_Syn1 zoM>x1$npf{NjTwoxq37jQUjVXlCF#Zq0UOaUEJ( zLKoEZudOi#ZBa~eBeXV5F6g_b!9$^lqnZuY>4VI*EZeo^8YWeIeObO{O>d2v0I?X1 z)pf>7eWSQ`J_35+{@UAyO325sF03BvW=5~CrxmxXhqv2QTp0{wF(dpL122^dSo!U< zh<0QCnnSINMlGEq#MF`|q!yICNRv$X+~nSVYJSiV!)h|dCSMChpuOuQBa99B-TUX| z4?D$t-oJe6X@b={eRj=$d4ctFeQlMe8g zGPkMO9kVsbI|{ay+58nH$npSR@h^DHt+lwGPOzIlBx6L+TQZCvQ1bupSBNgiLP zXtX5|QIpWRN(Z#Knz}YkK&>qp53bKJ$OW@;yYLx)KWF5rF+lOEq=cu`EwnUZLcupC zAz;W>yEx5421iWjzhqZc{`V%T zic0@FkBYj+zl2d!-dOOz)>GC{{?|Aa1%>~gF!Dfc3Mz`~|B_loRYBo@Pok!-9H(;r Q{7wzkT@n(y#(KN{56@pY`2YX_ diff --git a/dev/_downloads/90b2354acc779cd49f552b57929e55ab/plotting-13.pdf b/dev/_downloads/90b2354acc779cd49f552b57929e55ab/plotting-13.pdf index 12e288fddb36d8ddd56479cf3674de3381279c57..0849e098662cd46d1d0579def0d2b402075e3a91 100644 GIT binary patch delta 19 acmZp(YqQ(1L59uH*vQ1la`QHs044xJM+O%F delta 19 acmZp(YqQ(1L59u1(%8bpbn`Zu044xJmj)jI diff --git a/dev/_downloads/912e64195566ca0058bfdb868fabd27b/beam_problems-16.pdf b/dev/_downloads/912e64195566ca0058bfdb868fabd27b/beam_problems-16.pdf index 8ac5ebb47f865699b81081c585273c0256aa1d3f..eb5549389179bcbe2ef827af1db507f0eb85f1eb 100644 GIT binary patch delta 19 acmX@%dBStUG(|Q;V?=*OM(!+_b|HXoiP%^ zjX|PBFDZyJ3`TUm?{wnRT7(I@h(&IeYJO_V2fM=zWwL9W5&@ z1VMBf>MD8=1P4tR_B1uPOmK}8z(vMQ)x=HT1?}c({oEGPwsv!Mba8XEf5hcs`y6BM z;*1oL5xFVE^~BB16?02e)ak!o5OH~KCwdh{H3o#7aaDhSfuKK7Cx2L=XE+Z8aS3Xu z+%fPt@6?^^<&C zGH(>0b{kX(!#od^*`CHwMXU32L(ptom?I6C+`1YJf?Dq|fhN1kf7WF8=#>~5jeuGi zX`$J2S7}FCIHbi71WAVgO=5%oCpWSE#AKw}3q{4SOQN+`5ZGW{2;v-Tz~rO*(hAv} z>pyrfK^#Cee%VDunr*=hBVnQ~1*SC)V-ZxXKlmZ6&P%1MQ*MLWOGAaRBz}ldv62Kq zB9k3&*=k(BDfv^rsM+~j@H6T0Gu>Kumu8P}7l$~QLsYoWPh5q}lM40omkRSUZdFhS zzT3_g&%3U%Dg-p&jpXp}*v`$*FD@_t^Pw2b>ofu)zsr#Kbs#2*b@%n%US0+xH`Sl` zCrt$$k`8BvS}jVz-7MFM7t?3||K@+J2hG|mQ0uER!MPtl##*{e^80UFY)zXz6gfOx zTL`e|O&M?>Nk6zHZ&9SbaPS;XPEh1!3>~G1%@W^)<#uagtY(@<4yN<8^_IWRkJ#Gk zg5LfOZyFpNH1u-tl@97xP}p5Q+|PY)mTN`Me<0FCWO{|;6%c;!!vc-o zfkATL|2}U&b6Y^lSQB;I+iI#x&0z#ZdkV)PpS_2P795#yb(dWZ>X%~lP=)jZ8LdXFPbE`7Hx{ zfBt=b>RIQN?*4vbP0cr~5)L@v??v95^LGB3@8M({W@a?v=b%omuo4RxED>-Ro-&|iT5k2? z_5r!As-<5LG28jky0F^7XH8xocgsCyyjtuUt)d&4<5>f9p}C*xySr!&f<7Mxr6ADt zFmJfn_~~rxi}41`!UM~NVYq7%uw!p)io|@}hnf*hsTraLb?YmzmlTxk3#+{ zUA)g$-|n7@IZQfTy?y0L{j;30Kr6Bp#tw!>=0K2Lc>sQQapR335tggV<8tiALi>u+ z!RErx$ETKPwE6HBfeHHqOt|oc_a@GwiFiZ1$)i>uHVxtd>e)&XWxW%fOfVM3I4hj* z6TNit;td`iW$jc+!>LC1YZ^5U!vjTz#eI9X3Cvji_=J?Fhy-C|K24*0tiw=wIxU%= z79!&jXNk`4^1dlSpSC-7EjKYR>DAdg`b)PDKCe_tyJnG8uu}J-+3Jnwn9s)}1R}}S zbH+(l*RSC|gxcC$p7-drJnW8p!D+#BM*0;T;xjZ#@$Js^H)0i6UmE1wYuda9AECuQ z_PAo+Xpo{{$tu;iGG&G7r*6GS3#C=rMN;w=G?J6&XV*3`Bnu&^^Hp2ksSysEPhcOh&-?3NmneO7BNU?S-+0=P+sKZD)*w)y(b1P(IvvjT0aIdk`F&DK3c0 zyC-%jXv!mXOo*BqF^g-K+w_`mbk7auc)l5TZW72VW4@F+cQkWk)ZJZ~-r>s+Da5A= z_NG5Yoh3KJc32Ql3lqK8kIqz=+3iUi$@LF9x)7=i*X{^6G#5IY6Lq%agCA!@t)3ej zxclm?vR^01gMlT}ECO1@?PDn9wzOM+9Rr22MTdynMKs{o`UB@V)|RrMG&Ao8%8>rN z$A@>y_OIUw4olj62^#TN%pX*q3z< z@#2^~3gK8#!pT8a`;j$b_F!f7s&*RxR3KrfrkEt&`sy9TWo>AnKA4vr+!B68Fc&w9 ziu2-!7S_nt7z@S2y@3MVNs*BDPXZ7x4)2>w!x@(%fn3;^+2MJpr$Ki;p$sZnV>vcxd4nhmT%n)y!b}CUg0Eu=b z2m5QMBvo9dO|Ce@3m^w$M>q=_lklJl$135N4-03NASU^dB#?JssN8`mDka_gB!`s=9;~wqEH~T3zb#}+*|3rU)ReR9W5;l~f99Idz@9}uiDK!& z%#Whr2TTYkqtfaHrB@0aX4uMb_w7v^pAT^G5+`s11UlU*1(ct$1HZoLITW4r=H{hT9Q}-4IS=jgL*)(wyo(CQ`b*=(9*kVK8$Bd! z0tR>|G-hwnLM3D6A6C*ldW36Zp>_8jVf2d2sFmy)^SdxCv#l+fK-pidNrP&bIYIjfWLI!dMVw0>+r!LR2Rz}jG`)mK{ynSfkFmAB)rOkt}wUk4iNDI|b zf25{`z896;^Vu>4XDaAm>j;lV6K4&e?~!n9eW(g98QJ@_U~6d%MdhW8_d%nGXp8NLJG-aCM=&85B%$MHf1UbZNG3i5@Pompv0@;_y`*v+!2Rk?%$3NmsG4R=Vs2 z7%;Cdy_X&S=oK8BG}`>Y;j^Nq7SOQzJ$rjJz0PU-tNJ;a|QwF#wPL&7g)<8W_2VSl4Ph=&Vpy|q?+0b&{6xOQZ-PH#PLy` zTh}#UqNAarc=5m%5)=6XSXf@Q!QLm)lW|VM^0iMMv?l@qYzE&jtE!?Akm5>QLP`U* z3Kfv~Y^Qvvp^C(WCAhCT&am*g(jbJZ4&vW<5^4IsQQqF0s`0eR>e@Se+G7Nh3>u`If8TowmlVGP)FCGBxoR%|d(;LX{;xkG6-sl|B0GL! zXlZGOa2gk`@$qTJz+YfX>%Y^I#%lzxXVP%3Be9FZCYA0m>(zH;br_%Hxp3IqZU!{5bpzmwvoZ{kxgerVRf~Ey}dnOKp76F z^1+HslgUgU>`tEjaKX~p&~S01M>NvmVj5woFSso@H$@^Bhm(H!Je;$IZ@5r@q1lM7 zzX{s8GX}O2cb#o5 z@JHp`eLGZPqjpGg35?|xHm|?GxVUI1zeD9}26!7blQdePOvfg9(6y$pGaHn0%iY01 z;prY_v2lCaSK`@sl@o@Rg0w>!90x#0-yg%gcD@BWskvqd9#iMb?r_#U`I21_VAPW! zT=RUcd(%e;0Hd4~m_nrB=7%2h11Z-HR!C)L_aPPJ;=0~!$NdA`UKsg@tYvdwQ#Hkp zd(gJd7?qVCy{~O;khX+?PT~?0@>W(HCv+K2W3K}sys(`ipr7}vak*4KRnln)IOPT7 za-QE23Q}41^+^lVCeH!zwzab>Rt>x8FjAWCv%Tuym(I34B88#*A_W2ufX>1Xn@2t3 z>Yueh;p{Schx^-gSK2gyy1t%Rr@2{9_(7$LO-J|_U>SSagbP46m$2|#AY1%V`)Q}K zO4SofVqsL`emkxc(P`C~1ypaEjK0*QYY>V5*_<0JN#bcjY2(rj_qFLM4<^e3OUu1q zIZK4wf`VGWMlo^G(eD69F3!s0y1VGg-cLt<4T!bL;og=$*SRR(Dc3f-6I{+>c|4bh z=2KJw?ic@>fwT0IrJvZ6tea1I6=JrytYrXfL2>JkrzUj$esr+qx)2V%*Lu6UWGe2^ zKMGr*_8L4Z+METWqE1`ymvTv}{`=fzzbetj<~NUht2bH*Xpk7~tN#q1BkbqYB0y zU}m={Ns{xfyeMpnOG{(V&CAPJckhfymU;c_LB*q29;=guKsTl_)gY(v_Oh6gs;Vlh zyifIL=h}1y!)XmUsa7qecTw|w>BV43K%LgY%LE0HnC1N*#JOwWXgd1vqQ$O1gB6Jm zM|!@J@uh11EzyI5`(aqkGN-4(Mxs|dwXlQO; zVwd6l8u-_J6O#fp4sR72diMKe5Aj3bKy)XKZ&jCBG<_usbES;ZUe>KazomQ&9^i=_ zMg6s8B{M*S0uuXD6kqLh*u20+b=}1rO4=z`4@}x;b}!RvQ*5J(foU9zuR=O=~#a9Nbuy z695bq00FT6sc2gN*@O1LB=)+txWf>Cd|cd@>=y%(-nxP4KTLwvTmA=sM+u>Mz|yoQH(oNbR|e(N(^Tid0PvP=%&6){B6 z9r=$zY;v|^H<5N&6QIxe*L1O7qiIrciHXI5$49JUk6uzUaFh%U8Tjv$>f~rAl;??J zC&)+yu43N28BrZb5Puv(;+1CBp`s)hTgHpv4H~zM0Lp|LLFX>jO>)0CxvDGmVlYgF z$lfq_5p>W3Ovo*u(YU~2zhW|>0l5HLL_A-6sM-t=j?`3>)?2pJ;8aN3e)tAbs?oD9 z{gen;gEJhqc(mW!p-4kN3czC93o0~fGLVqWqj>U}@rNw&M=vP{n*h&FlMgo0s8c}z z0Z9PxXMxV!Mc4T?ka)2cJ&CCeQON+DnX3Sx+xA+c3a#P$8vw@93cJW;s>w|TGk}}9 zFUK8`X*TK3xqc~mfTk~}{Of6+lUZT5l4&IXHC!zTLSi-qCo`~`n*dC+${Ov>QaRJT zlr?&P(YOUvFu~D0dzO6D;0l^+YJrr zq;4w%cDl?dGZ60GDhas7Riu7*Ujm2!5Ew}kT*99@?*P)KPGfJ#)?i zTsl0~rooE&0NoLwqR~vWbgsRNIItQQN9NJc1BckTdO}rx-4|d_nC}OQtp9U!A+p%SB>EnHvppeaoJUrDIen>o zs@y<&{-w|)F;@Civ9n%R5YU-#?}Bm4!9@I!TI4v2>frO29JC|Ht;ZcVqE7Qe>X&)$ zs&7y79F7E5*l;!f7!_LtRAiK0?4t*37672?{O`@QwxQ$``Z(Lh&?;VgMvLE7i-c|5%^0{a8B;5>zSrBC^YHvOoTRvhCw=II29j~L}9(j zUXLZnqdD@yvm@b6pLHLEEY`H?N6V(7bRx34Z3}RBJKTy{ete zeMOERq(p}D-jY}l*34E`somc|DCjv5spe0pkw{{d)FfItfI6~Z>H#bbNht-6B>Cs zL=?Pa@Ib(6>W2J&i2%%hufE~u@*^0?jV6dl&>TPefx9S-!|_fOVs~<&R{OcR0lQ3% zkF1RO%qjiZgS(Xtye1HF1xXWDHyz`%73178CP(?ylXovU8$?e2bEm=YS7hKp z&MLra4)~FNL{_yycUN?RaBRRPoBq;&rNvySK}L6t;3C3$ka;YYddA}C2Rssk!3;NG z?7$Jr%*0dxa0jS5#HUC+_2}E)dk+~HCTsg0tsN6p{lTUtjgO%aUa>)m^048-()8W6 zR2LlKc#7%8a%pV9wycZOnN;^~dNmdn7Kh3D3P2%>450&VMzQ0&Y*Hyy$I1*EVC%~= z&pLr3!mxp%tz?+@vM^@dq|SMMG3a4TY;4X|<<}>qrpV$g+xP{4gw^hIOm|-Mq|j!a z{f}Nl*48kfi+t-*=gjejA5Q+Byv?5gp)_RakZ67~Yk2%5SWtIxP z>9WQE9?O!JmET1vz55(m*7mKOo?ZIf7O|q*K31mAQjh!a`=z{)3U3D2BOo1dLqw7W zci@N7@y*N#^ECHApwmjZ5-dde%8eh|T$&BsRwBJPA_p(-bw$+TJeEf9# z@FZac=~ml@$!M3O-@47k>k$IxMgB5bm8|#PL~oHMj0f{|j5BZh_buZe3Paz@8{Qn_ zw{c|z$=o7sHn15dx}f7MK*=_?Mh0q~242&lGj|h&bC=5!Q=}qSOM~#f+h3Q4i{0nq zjWc%ecA5UQrnaquh^%a-@fM3cioSj}t9aCSZG36VIFkVM1=N%N$+kyDu#0(Ktaf%n zvAC@~S^FqqhR7JDg>N{a+AP*}9wvuVnS94^!f74J4 ze(ZgzM(mDXKr^kPZuFS#v#DEE@XCK>_PynhkSr(@sjDw%Bfm%J}A z;M5C6ii>Qx2h5~pax#_>fN$VD-Z@rQeFbn%!f(+QX$MZ4S@?YjiWC%)H2w&xA*89N z0c$%i3}d>xiG?rq6Z>R6N~UKlrr_k=1-?LhAmKqH19f1^TxAat4S1S)E`!$8${1Olk+N>|S^K)Voli0Z2m? LrBbS7_1FIboMLw~ literal 8365 zcmeHsS6oxww(m-43R2`lQM!oIK?n#+RVe`^(vdD8AiX1TNwHjHMo#?#+t$9hL7rfAANUwpU2i-c96EUkB5u9kBg%XkDr~Fx1+loLhOc^ zqzKO=A0H3zo8scG|MvwkcP|I=ODKv_Amp?M(!?8r&Y(_yu&~E5mm!FUO+)3Dfqy!A zBEZAIF!#%Et2F3&n;O&Y%&0^(53k&di{D}5l4p>o-(Qn`|AePJ{&maGYd_gD&W7li zK2TB>t%8}i-+Fj);ImA8)Qd;D0)I0jAD%sH^NjM8N-7kGnc`MIpKv91MX`EyH?*LL z_pA1?NKeP%+;~tgy$Wya3kX8%ixHQmrJlPoJ zJ8GBYIMW)%Cg=C-##B;fX33K$PyE{`r!TQUgvh|HUpUX%cE@Q#_(BLL739G>{13ev zK~Q8F9IA;v2Oc?8U=T#O#qz(m|F$0fv2n8BKN{$G>@5@1u&YglV?kY=n6RVu&!vSX z`gPx*_gm%XYxyo4iStA5r%&96%mnome?S&|xJI*exKCVl9p$Zba}BjH6{>u6$s%-j zaogwD{mN!J1qBN#hpI^LorCrMW<`IUu_|p^>af(gm%?{-k(zOO`h|%wG$+{Q%da`# zF>t)~^1}T1(N8lJvXAj2W0aMbzFn@%G8u&H7z!I}#=fZVd_VBv+v0KLA1^^+EvFHk zx{baMAspyvWf&x4TCQT+Z0R(pIaYSZY07e`PgPSZx_3dn9!l4;&e<4s=zC7Dw?3~I z+BA?8;j>ScIDP~zfDdPWOy63xI+j#g3|oJ-+fk!Rhc^$4!ghJi8bYB(<$dW!BUQvA zX7d27$;F+`(lCD^3gurq5c?a^9uvk=NCe&<28+(jASc3Lo6YT$0{w`#jp`kCCi+ z%|d3-K=v()#8cux9 zkRU1PlD~)Rc*nmy@p#G*g?jBYTyhwpMEC4A?X%nYO$?DOH+_EUr2nPXo2k&}T$)1v zDs-LQJC!g*m7tspLMrPTQKs(+)qLmyyW88)Z8`6IO|04(Hx1pJcJs>dc*EwY%p^tb>-xZyJXD73C&NyuB-aeRcNWbyp=rN-aw?43P5 zLvw}=Nj>6J)0j?8Z>I;J;EvmFc+LKj46*@QMi)XO(q%7&9F&>NuMT#llkPoT@1mlj z>iqj}o&G#+!%|BH4ZUL1$_jg8D%c5ks_DB|uFRW;pA+t040oHrut~e*!y6*tP_X+q zUc8w_Z|3}i--n(9!w2RN>Spjrd>x~bRJ{lT+e5jt)ATHmY;jRH$HwuYyLZs2!uAM? z#Y&6?jc7cotF>4+ZkDv0Rv$*fQ8^GnHJM{7UOD6+~{Etun2{ct*)tcP;o%xN5olN5#C$%Y8qon2VR{_eI1 z)l+WQqr-2(WJP6$fBQRMWp+MiZ~Ggx$G04gEYMqf$5S@(v>v)O0oqxjvsl+CSPeUin=@OG|i`kf3o-!Oo49 zLvg&mHykSHYLQE$Fns*;?M9>$@>BLkH-h8ftU{%8n#8#?sS=3<#(R{Z=yMQXgS0bd z6puYVa>qI9lN_1pgrPyacfM3WxzF*T-f&4(Kg1ddM?W>R6eA{EbL~lnHpIu-$m!1H zKn7Fa-p|*esp&Biwlx+^QPKJk61l&v#i%GC?QGw(?Y*YnfWah73>T$bjM(2Mp(qdJ ziy)rw!AG?lGtu^f*F}kbsjcm_gf>ADsr<~);~<=^I>`~eWK9K~w(C0Y9X(ZK!f{}2 zWtw_1I_K@hG-ci#h{w7+)$Y1O3PQa=x5bZ*@IkjFreoL=VatMKVS)Ibf*rbJni-&0 zVA$oyHXZ3SC~1pFaUzVuRg_`q1?>!{DjQD8r`q?YEyB?k-}^47O3?X(^qT2=P;;X? zHIDbyg->LowWc2r5k~rY-6IO2<9@s+&a{U47OEq_cLXB z{g|iof!KJ}XpDQ4gjo?h^qPIl#s28?qbT?RfMl7!kM`$3Dc+N}mOIU40WR%Z`>Q}e zIxr&sB1=(G3#Sz<^}){+hwckjjbnby1Yo0eEs@w11o5w-xHy-5n9XIuj+o!zIhn@g zJwzy&{etDsif@0N;51y7LH(k5tde*??2pFQDRc-6bYI%;<%ZSq6<@Lw7?9hdK2<`= z?j@Pe188T+W$d9Js(#amq=DY4+cZLK$+(thP>KPeFZ=ZHR(m1aVAdm^Qz7;Y@rh$7 zxUnwupl!T%p8dglwW@cJpOn+XdBS*Y)jNVA3)DKXG&rB1$)(`J5Bs(Bt)-jFjs7VJ z1FeRRI4S2uDYtYoA6h1c-C>?GAI{_sI<)zCiJ7idYQind=Z3l%&8q>_Q&`fUb?Le~hN(gn2T_+1dT}a4+JdZH*kgR&$W;t@M9^7c7BJ_Ej1W!=(k4x0&wqm$F*jM)^&{b+e4 z&T#ikLN6F;Ase?gTAZ;sNf6!owJ<3KpQxi^4~K8OKbCiO;3Ey|d+V)60KN=2NyQ)c?|rP3Hj0QfGlwCX%c)Ma{-g zu$?}lR z8jH$s$%hWG`us*PCSX)5gPjR_kqlM(&{1DbM2eZR6wrrs>C<5dUoZCmG4j{iq`(SO(-($1x*@(T~6u3%%w_xcRv1q^&1|XikwE z4(J~`LI6N$*%xqVr*(@=+Kje3xGid0p_3$LQ2_!GDHig-Kn12d2HE^P+@3Oi!=gm zsksxh_3PVfPC1*sT8NqTMC9)J!gARcu6{x|#pcfJo8_I~vl6@M3PD=}qN3Uz9UXBP zWuEN9k~+=$$E&Y97GTKWa3m(MH>qx=ZkdH4(l&u#3{bG8p<-vb=cNV)$f*$H&5Ta- zeVG?3yn9v;mpxA9tdFIRt#QR z2BgO#U@k$I_++VYDOfhppupq=%iR(9vhzJiZ=%k(uyX7^89q(3xVR`JAn=j1#n^8p zUh&YNZoQ|VaWWw+0!VNjuhGp4{u8CR`{OTBt0wbUq)PRKUz%m;?%aov7C|vFqxE^B zp`Kpuj~@?JdCy|8*u~j5N+*rIyGzLGpM+?1Ef8MLHD%YSTTEEuGjs--3RI)d15lX}xV;kcDTAF|>Y6wGH<|y$apP+|o1hpj1=GX*?P|^zjbgLvA^xo3 z-0^X9QM0PMv+b|?ldM7=8$iP-q`ZD0NwMh_ z&ckBFOa(KU37>al0na%fSTe%lbxG|!oA2u6gddC5iM{mvmJ=4%`t(32Elh=k_%m#H5*yWXKP zb!)#i-%?Y1&L=1%W84zSIQ)c)&LAI^;jc<1Z~Ny*$5@$dq?eah&u(gi{9-}j%!N+a zf1>-NuWg>W(-C&Bs|bpU4(4g6Nj?0VNn`#JlbxMiXJ_ZlRm#@gO2^BM`zwp3h2?_U zmX?`&+pDD@kQA6zyGh)Qd?zU>X>kAkhd+P3H0E!q0xusjzB)5 ziN$_;shsEMZV8p%0>i?SeXs~3SH@u)gSMRpKIjUGhztO#B$^+sFm)ciewsSsrpGh^ zS85e7ckZOlfh$z9y~OmEfjd!C3%h!coMjvu+5~iwZ-TeSJzkwGV?3oHFGJ9}o%43S zH>>ny$Wp80^ip9_Y47FzE-I!gwqIT!ehP1L=*j*D(5-aK*!UjVclpf->Pf)^;px`3ac{le%(#eQ+@?e7^x`i5%kACzX;#o?SeplsI3Br9O z;GOC4+*cr_baloJ6~(^hD9fNkx~RWSu8mKy0~zQA=+e@RyZJbAWRSH+HfRfU#6SFJ zNAk};Rnv;UK~gRgHGMeG%tUvRlnage!YTB0V^7klkdUPJ2SZ_yPK`m=-G!dMvC1m_ zX&1HE95{9E5QDgiplvr0g*6L}ip$e!9Zc(ox-anM-C_6Kt&{HMgZbM`$t z5R)^Quz9Iv-^+7g!kE53z0Kv}dv6rBlAnCa=KB7LKC|5B*}p)J_hmJtyh{%|uq=xp$kaUsFh~r505>>n@o1met{llQilXpu$+=^X8V_qu zxvYHhnenG=DW`aV&;b~oTsv5|M^Q!qFe(ieZegFdYhUe!1(?%9*f_QJZHlAZX>%1A z`W#rQ_dIfc>jc`Cxo4$NjIT4A2|yotFT@{h@UPP|d3;O1VbAb!;~%Ygu4cFfbJMDB zKW3h$L{Wrov#S{}21#0|h)v0IZ<+#tT)Ckl30n{kAFxwFMuP=c6m~IEA$0~u_Hy)0 zW_EV=MM}Gvi~DG8fX0nWGo=D6cB5W=p>8P^66(IdtuPi7K)6l|$zMX~v&rfNZs-E+ zIO4ydi)gQ%W3;>lLpyA&i29O+6b>tZLHdBpMN(tXzbHfg88$wP0PHB+xwVLki0))A zslNdOi3AKJ{d)`6D&kUbY8TtyYv}?bHz*x;q^nzeRDP)f*vg3s*h+C+w>`ghlNMtBe1}m3_+}99 z4R>`0^-j+07vhM#S8I$R&siPl?KQPmaiGAmQh)EJ=V!nPWIaE}bmZJ2UZ7&80_+j% z>+J33J0O7j_|=cCrsU(-n6^mn>$ZO(`NEM;@dZeEKvUl+iP2x+*(5v5Y0qfhyJvjs zRyg^>>BZxtdx86|i(yCVbu+XlY!pNh>x85 z%4~?|q=UCLvQ+4&3F#sVJJ|#IZ#MR)wB#O-p(vY4wf!-biXq)2v(s->+SgP+FOL~I zjq2?!TVc5r03`gFaVoUJzpTOwE9F~Y(A-3pBDC28hOg7ywDFlv&kLMm2io`ArB1pSl z&y)^c!yyNb8@#~y0AKOxRnU8Pwd$`?b=cdjl?2PM3Hhe&D1K0_bK!^2fC3Sy(Kw*! z9@=Y0(A0;74$r}v7_{hEH4BZ?=8n`}oxBtchd}T`lBzU%6`eJevlQLLcI)m#pcXUN zMf?=@nG&Z;Cn(tAC&Y6k0C||2q@0vIn~y~;!WwT#PcskG5|&HT%=SY!g>hP}I6qfX z6chwXW83FNCGD~u?%~X2yd{#SYIPux9u<%7@2%bO{>lw}gO|V#Ub~1&zeW=c>Un{i zac;G3@*8bkAjju{#3{&hN`UFq&)%>j{7TdQicsTlFI6^1rL!l|sOT-I;^{A)Fd5o4 z!1p{D*kv?Vo886O4raND_P3M#JyyHZ(>Z)s#!UcH0+c`(q(e|lW0Q6s`t@XW(+u{Z zNGfgTVD&gPdM|K0ajX&#BweKu4}uruS;(zV$xI=S5Ap@!GUGglD~~6~n6EF#aJ~je zVgRG@7kLz)uSrD^=RLdbUJ-!5v8J@~)@LrEN*^`}vWAXoLV`U$xq4EP^^NbceWv2i zE2E>MY}Z|qt6WKWHw|lY6uuclMkP}DE}fm-l3{7rC(W_26MsH91Kg3KSDiaWpQ3sk zRK7XWdON$j2SCd2-E&wTE;ar?DC%%;v;SaseGp(xe3K#ztso0+#@ zw9KlKz4zPN`ofO#1#Mg=DGb12R1H#9bsim`Y-^E5i~%sIT#(-#pZG3g3QH6BHW81{wt7{6 zIyea4B$JF04m}20iXjD?mZj&>9wX*$$CE*Q!&Yf}gL$t8%CY2!=&=8{wA~xrmDu-6 zMw6JP{&@Hk7~2_SxVpWi!h464_+CXbtmJe8T*p$3JaQ>y4=1Qg&#vi8(j2yQe#vs; zO^~P8TJ}b1n8ugaDROkC)z|aS-1Mt>{5`c8u45t?a#U;5H&xzdUKX~9?JErvwFnIu zpM_AM_IzH{gtyqrz2xG^Ni~1+mr+vU`K;bI#xMa9P%w2Hd0?dcXC2GH**%*A8@UC8 z2vhpq?lGZw`em^z`Zq}TdPme~#-trVO`_bMqJE=SN1`$Dem z^otmqTVL1G)SM9tAuNxaW?HLxN7Hw_^9Fw$AS;p)aAvB(WN#+A;BW$DGMYv@oJl{& z$QAr)P(&n!jXK; zWt?zAufC~i0SJc$mW_dN-LS@@qPr<6DV-f1wbT3k{r!eII!w#Sko=2t5KlNS!) zkLiKo(uO}T6U8hFuv$rDbW}W-Jm>*6W|(1trmvx3(2C8!cNYC$Ji`9(`YaNJxM4p^ tD3Ovk7TM}|3WAudiokmQ3n$@wVM%Q8`KV{Qi{N`mLlvb`a{IxP{{S?8d<_5q diff --git a/dev/_downloads/95feb1999af91b22f624aa3ce3c6b1c4/solve-ode-1.pdf b/dev/_downloads/95feb1999af91b22f624aa3ce3c6b1c4/solve-ode-1.pdf index 065548065a5fea7fde8b234174943a9fb3a80fbb..b1872a8057f8246438ae5623cb2afa90be8c0155 100644 GIT binary patch delta 19 acmZolZc5&8SeMPv*vQDhbn{8woy-79qz3~4 delta 19 acmZolZc5&8SeMPf(%8(uoy-7A9S0Hs diff --git a/dev/_downloads/9659cd876877dfc4002fae48de3c98ae/beam-4.pdf b/dev/_downloads/9659cd876877dfc4002fae48de3c98ae/beam-4.pdf index a70bbe9f6294fc17078fbb95127c60ee8dccf6f8..7fd8f22c344d03004771a7871feabff6f39a5208 100644 GIT binary patch delta 19 acmez6`^$Gjg)*C=v5~Q<;pRH!8fE}dO9tWq delta 19 acmez6`^$Gjg)*CgrLl#9#pXKY8fE}dv0 delta 19 acmZ1unXKqdf1^#%t3 diff --git a/dev/_downloads/9ae786c847d9ecd9aa665dd52ee79f4e/biomechanics-34.pdf b/dev/_downloads/9ae786c847d9ecd9aa665dd52ee79f4e/biomechanics-34.pdf index 8c323c4b69f8b128ee4340c487be9044b2b970ac..6fbecaf4201aca56e750e33cd7ddbf47b781ba3f 100644 GIT binary patch delta 21 dcmX@PlJVq9#trxU*$j=1j0_AmKkFEiBK)*bI%0ObrdTzZGNAV+H`Jpb4h{ delta 30 mcmbQeMPT+8frb{w7N!>FEiBK)*bFRFEi8hGY=*{0#)cN##S>Yim;tAg2-yGt delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb=Ela`#S>Yim;tBc2;cw! diff --git a/dev/_downloads/a3a06dbcaf4cb9dbce7fe53c37ec22a8/plotting-30.pdf b/dev/_downloads/a3a06dbcaf4cb9dbce7fe53c37ec22a8/plotting-30.pdf index b4e5c679abe19c542624fe3b382b0f20923343a9..0085f8b6a670da425de9a1eb19a434559d1066e7 100644 GIT binary patch delta 20838 zcmb5Wc|4Tw7e8F7q=lqNwuGWAA;MVNC&?1o_dUzl84T{Cn#wY^NDO6{HOtty6tZS# z>;_{SgJCRVdG5jI`+I(WJ+J4#`}LaJb)V~8XL+CZIhT<3qlDI@d7q8~mC6j$6)vg8 zMB|R;n0M}v!nVdbL&Q&7;aPcfkL#XgAN<)dRb$>FwYi>=xaI2>9bcw+?ddTJyPI*^ z)-^6)wd6<4d#lmF`sm)W%5lFEP?7r*QV*v)PZbg8$y^af6Re{}uk zsp^y6qI_#Q&FZTkvdft-o9WFzR0Xp8jQBa9y)9L&tW{o8yT;UToc?OM`Lnq<$j|JI z>hlG*Po?SDPg_h>n4lG=&(og}a~2${@%_yhXq(rQZ(r1__43Hy?-^c-l&`Dp$59tA zAnIsn-Z9FmHI4zvxHm^{)zZ8>t0Eo88d`rRr`F>$ADZHgWxD!%^?CA|jKGtxuk@^hporQvt`s8B?K_jBx+G40%KlJ%W`^#1(K4K|d~2X5!_xAc%!sza(obmW;uE;Lf5P(r`^jqY z3E(d8SARoR%=PY8CR3B8&q7#6d52-bnDzb>qa({drsuW=pNBTE&(4*iMqPofg!j!w zS(LIl5mV1sj5n>}*ZRR7y`3KjKIL8Cz!_ufITU=#@Bescz%XWTw`GHE{I?XL*K#6?$j zXX<@tT)cAxU-e3JWzE6pHG{;jwd4~=AhizzTMFG5$+QsM!{Fx<9*c{#a-jB~7g3+6 z=KwwdhmS3V9=nUcc95#4MQRZVt`OM_9*;&gx_qyedQckK9Fov)H@sn?2v5J^`6?_XiX#?MxUb$WdIAR)l*J;|vZ0=y5X2xM)>CM% zkEEXII84B1{vY+j6+!?XjAM(H3-Pu%B{`dhYKY(cdV5W&`hKvJRrHXmCN%{cpBLbH zD*qVB!FUg7UUCI6y+b+Sg{-Pb#R6q_Zl7N~L#kL0L8={;B*@wA+xCzur{p(KD$u6d zujGM3o$8A~p6lP&&p^S+1yH14YYTub&Av!}4*vAUg(@ON zcb=YViQ|4Nc}L}HlO<=>zsq&&WpEQ^HCD$M=tA@lafK;2{*lWgQEAUeYOFAr+=ANR{vP99X;*!M>zadHni zAqRiwfB1LgZO_%?D4}13h1ul}CRtNP2kZ8bw3qv9k{1qto4il%H@~9&N5Sd|!>!TR zER`yS!OcX|j=F{`tO}VvlymRIKrIwSoMfK_H~)a(e1_fu@P}S7we9o^__`eSI9=AE z`o8kg(`(O_u?}kD^7*GeM?|p=?Z2Eneo`7VV>O6P@%^?9HJ)yjuLNk@h7S0k2jh=i z{{AE#eP{5hwNE;uEh^#a*!3?j{}iv_knbEHth<)3!VO|bpp(Y47=r>XWj?%kQ}j~@H}I6Y1x!-Tq2j&<P-C+M%dYcY^y0b;~mHOhpOt5l0LR;a2_g^1hS6VQly&McVa1zik;jJ9~05yF6 zuxTLEFC1qO66?w@ucxP)257D282VMv41eupQ4RCZUk=@+Y(F-DGPtV=AN)i(G`cIs z)Ch+gtp6yK&k1J^L2hQfQmQc${jEIiIf-yXPEDch@a8 z+@o!y`u{@S|3@4G{tHC^KjTpS-OEe_`k^3cSYV~>u=pSF81FzlZzS$-5X(`)_+o!A z=NLvl%9}ZsJI==52 z!@-{Auj5VB*#J#t1N5Rj2i|2yHRB`bK2|v@0Ol}T%j^vJ?`v*u&JBO&;1li>Q#919 zv^~IK%(t6vX!G}GE6Wr$w?8w2aL67=tvRv&-1Ff5&m}^@bxx}3>@MUN{0h+Ky#VDIqp)EKx4P2e;VWJ@d9i~lB~Rb4%xCY%I?BbyvC z=Q5Z5bA&GV*h1p4?82)w&Tr|B-g}1lFrffd!;s{ib+XuaY?%(gzyPOsv0ECeWAk?w zi-f0S+C9{0=FFD8FFV@Pgc#<&^O;*Bq*Y3{B0~bPDiVzKuP_|XgV4Oc#X`u4n3*0o z`@zi-zNrB8anZ%O3#P)r=E6~?Ut#y^KL^6?KAITND)E`Ap3#>(e@}f-$+2i&&@T1z zr4Ob~jAl1$vvp5#Dq1A^FZT+ZP2$a-&rcYQ?wc?bd zC3k?fj$;?a>>huSxqSwBPB|Tu&aM>NE~WEKFI;}-Q)^G@f)^$lqU8SDS5`@&tz`X? zLFxn=5K-z$n?)$nyWsEBdyQWk`e{;TSr5Gu^MkkfLyJ^qn};s``y?DQgCxz_X~1=u zC~c>AOdOAf(Cs}K0hUcVwd#?aF+Xl7WJEI(YmGJP*1xS;k?lN zyceP{q?`CE=H~`whrc-k-Gy6N`VJ=W>?5E<;k=t(R*(ulzpX*v2#OX^Ewj&yMIkr> z|x0C_F zqo9}Oq&@!=L2QeJF!)u!*WMDvkD{BuM*T2tFkhyh2E zjw^`ECsaHbqR6H{seCq?u@M^ZBr~P;uaW(Q#Z(+0>Xon!>flKD3v3jrV!QZ0JygJ>V<<87&>0#iMe zN^>PIU*&C+l?;vLs_w5vJhh_FI2Wn}o_tY~=VIfLy4d(=YDkr?`u7v}8j)52$+?^i zrK}y@3fR=P_dSg-#L%9p)XTUe4e&+pvR~BPu5A-Uab|$_qJn!ROd1jaXqi% zz117_QvW-={S>%-&`!>I4LUz)@G@8&UizKzP<}Z4t1P_rXPg}(X6apHr8}&-h-*Gx zYWLLniQ=78;wR#|&y!Dx?qzZ;UTebNstZ{J?FMl{?H z(Ej&xLAz6aeBO1Jwrf5c6KZg#0hEs>_q@hO%CUCP@WeGOy3Sv2Xi9ePpe>MZS^H+U zmo}X#@k12&gIiyS%qD7)3+m7}Cd62X+xYMhyS=Y^uZO%i=|@*-uz>TJ+sR*0=9nMf z6E4!tK9Ip!vjj-XUk~y2imsRQJ zcZpO}arPHjru|5x=q{hVsKr*%8Nz2>DOZ&`>LXPt=Dt*53s~kx%FsH+`7w>fpJQM`-w|s+RJ%$tRmXN{1>i&lw>L&_Z%zgBcuy`XE)KW%egp>d|QF5)fIaSW?oIz zd^$+oD>_u=lIyRw@0eqcp%j_I=^?cKm{je}8o4uZ&eRwQWb(#x)Ju6g*}kx|LXkXG zrMH|UC7MP&V9nkJ?nLL+BMqvbMTuS}>P+L*Bo;yVqFf4baIzziRq%G}ZewWu<^Jr! zyk1T?=a|Dy{oe>qDPjdc4M5oTV>(@Jb+v~M+hCurl=2w}5)o<<^J z%MCZ=1#m7}7d@`PzZq~ikQ&nS3(fVfqW?%Rj;h+zyrJenY)BA5pGd1RU zgBvnE>useBMD~I*A#8S6$RlJDZE39R<>h#M%sLbVmaav-;#_nm14jassybiT=Y)H_ zF6vrCH2nHdJu$qSWue9GvfBSx`;*a8K!I>Uh!VC~dWjpf7JCUv2&1%jVHlL0H&pPe|jDhrL zobM}Y1x&D*zJ9T3BQKn4b@r$Eo$wzgEZYM5EOn!ku+eXvZE$Tua4F0e* zbXSX(;zA_jteL97ieq1H{0;F2t_8vSg)L7#=KEjO*={_;ie%1XK`U2-#8`#6)FVGr zwq#3N8IRJ%NZ3YmSWu>+JNlJMBk2WZZU(bqnDayJ4`l_{e zZOSK^(cuPZ6Rf$Ys#J|SqP8geqM}7e^z}N?YZ&|1zZ2sI+@Ok2BZ_xGsOY zamMg`65r`)fiphyZQjAQ#VuMFZ_9>1g>vQwdkt~3YpPl$a=BI%o)oz0|0>35?02kv zv6afe*PHcFYUTwlT;u<|Y${|aJhIvTSY%o*njRkiq1ixoYu#O-mvIonF82jm^W`P73-J$it-|3cANX z40$Db#*loj+v7J|(GtaW4G=Ufe6H)Xqtr_S&u&0p zLxB{Tj31`t!lCiPcgbZg3RQD7LtfW}U6*J2zSS}7RCUb)JWvMV>+kp=qI*5MKHfqI zhxs`vT9kg|R@SRC&W?2RegH5GVVB5zd#R7`E-veB5#QUv#Nn}3mEcd8h4L=+W~-ic zvL4QoSnT^5MGrkEjDBbNMfAokr*lLsv~$F7x?k7igmBi~U@z-G4kJ;`BR8tMPJ!P{ zU3`~P1SSZe?j|@xrHEF?J_O6xk%U*_{(n@z|Z zuei8Yw0;2u1P-JzCubS6$XDj>4)YG4hB>4rYsw0nDOa%4z~9sGnyVeR1hNOdPT7xo zuD;HNy=64zI;S**n_9Z}!nr>sR<*AD$%1w%lKCjPqvVK!(M!~2KFx$WibG$duORSp zqrCXM2^S$=clm-3xYT>@zB+j!D++%Ze(2;6@ar2=yz?7JlO92C%6u(b_?g>a+O<`5 z_A(>6;~(28mK~lGf2wTTzo*(NkzupzdioDp%(#N3k3F3`Qp5k3Y;AWGw)o44*hkOk z{_~6U>q*ulK_RY+`Z7PJUK+E&PP+p0tRS>`Xccf<`>47ad-ht^U}`NcgkIy|CvRlc80Jx_9=)5vZpjSz=J?v001AQ8`Pzmtl-~q-;N*$j95! z_rk+2Gw_MMxF6N`)+E#7p{Ko#|7+@YwxNRv=m)!T%-Ec%XH8rLq%>xclcmHAjZreos?JoS$tpbW44 zsYPC@zbSM4dH;Kq41GCm%5f*`c}3OWVWy*NKbLg7r+h)29;#`jztHnsKZemP{Cb1- zJCn#qmsrS%55ITVskkEJ+MqYmS(}v*HuI`Y@^}}LP|8OL?{EGYT0LQy$Q!ObTicdj zeBTbpr#rUQP!^vpfZDt@V(I#+OI(_s(;mK_QW@t%{Iy!UouL*r-><6jVp*+a;G&xC z>-m_mHxKLGd8Fe`orLP;TIOa-7I=Sy`P%PPIx06BFAGatP#QnZE=TrP%uSuvjZS8G zlPNTEZu6GkmzCK+XxeZw^p*xafGmjbrfGwHGos>f?mRBh63eIAUGzg$sJLo)r|+eE9Wip!2GUWFlc#&=nwl z+z^RZvN2YfFTNgvK2f4nb7?uAc7;b&eznm+?r)CWaY&#CTvfkludDYXR{J}pjcyaT z70pc7;;;lg@N*C<7<5XsvIZvi_t3j)}+JD)LFDEbQ4Ku*sKm_gX7cY%5+ znY>EXAl9@0_()fzT&mfM3$hM$Hi4?))cEo9qJ1M8ij2o&n3d34gg|^0mWF#$ek9G_ zJY&eD`pN1=L`uZnW}PI>=BaeWY~3|9Tv1&v7$V@>Y8KcoN~k;=J_ zN+}QKG2tFP5Dzx4{{i!r>l!cR(S-%U(2_+1jL`IkP3G>$ru`f=aOd9EzVYt+Gn64TjAK!@hFjD0Eri*=^fFkd=Y$KsjOumV~Dcl99-nb)eYAk|XR5xBqwo)OZ$CYgOJxG|_11)lHe`mU<2gn7v0i8}CY zNh<^jUO_r41+Hy6474CPpYAm7@6fF}FeQ$6?G4V6RAFy6hA19I!gC^A4OenF;+slI zSK%3V!NqI5sF*FoyE8IQFa=15I4r3NN`9P;&t)c!)ag5N5_IFWk>JTidy7xVF%+5~ z=p!mT!g)0gi~FbbyGj&0-(s-H>I&vB^QONfy&qFCPr;osMwfa<&voXX9H>+j)jLvN z5qos;=~W6pwc>c$v2!(QB~tUG`WH^gy6KA1NV8nT2>E(DY=_`D($?c!>et&py@lr#5p{Ty)dV z;o6vbi~yPHPhRoHO8cPQt@_hsJ>O^PXuBSxEWQee{YaDh$VYFm^x5NW4Ai&;IZdBg zV^y#Wi(NBw+z9E;=YO|-3H9-aVyAgSElw}2b6TNLVnvi#=;2<(GKG)^!BeB5*yM+G zStnnroCb2bUoGlu%>ilpor0p%e`R({fg$|eiCoX4R0f^SqSYKt%z;mgzh2a3RU} zm`#+<*0@T+ppEdK6(|?^e)&kWGZ@Ogw8Tt(r>^y?sJ_$lXYOUV_08#A&+yW(CWVhW z#CU3d;Fa0-cFIN+=r*7745_#{1jH?y@=>v*?ux@$8`GcWI9lQ6ER+mKVtT|x*yED8 zsV%>SAk-Ycc*h-4sc{u1;9YZMy@aGLZ8`QzR%soQb9O`5$Q7hf4gmQS6nX$8H*S|I ze8%>_8UOxR#v@932W-OpNNRah@OwT8qI^-rm2-wS(vUKQy#bNt)P38m+v%AnE}x$C z{4qqjS(bra;zdb|P2Rlrst86__5i*rz1-ViJgCCrq)N+Y;?ExYXh&PodzSA zz@U58Xy8>U>_rtnID&YNbO(`t1E*u!>x&#Cb7kQc&L)Nb)PlL)CfjS5O?cI1ehHB|hwnwd*;S z#O1IjC1`ucqlZ-whU+A5h7M=hMl*`SbjeT8!g_F2lxeTPaHwGjpfJdCyoB^o%$Qeh@kdvgA}cs{jo(TM)Wm`26WoM1fFGy2 zK0Sd>u&?qz!08v~`zI;8)hlMKXh8(;)c*IXnGe5Luw!@`9?ws$4BDGJ!?U7*$i*3u zECivt!a49bdNrtP5nMr-PR0B+vLemu>P@9s3!^3^*!RPT(1R~gk8D6iMwA?NRqr~l zltg#DTrTi!JS?1u+YRA4k+2n>sW#HU z>{*tH_Zuw3!Z0Nz%-@qAUDIlJI!y+g!K6Yqyyd+#ueDAOQr&xJT~7Yq*0xT-G|N9D zQU=D`XecT7L*9Pbn*b=8HW7&a>tb?XeCqadDPiW?+3#-Ir%8hST&n5E6A1N(7GiKk zn%G=stsnUZjF%jcfv<}{8{A$#jQRM)y`psZA$kI$bNyoImHg)I@2}JzI-{^P;?{%j zK@4;J8XfjLPwMY8y>E^?8E$7)`INBJ4S}Z}co3K3e;%YTh`Mm79>GXm$7hw|_CIdm z_sxFq+5gO5nDxNyLlb1UFz`P{gg~Bs*8uFRRSsWDN+3`^Qu&qVUbhY1F|o<;uKR66PEt}iPmn;tqS?50VQIM$U1iTHF4SbKR=42 zEgQ`}UxkIpjl`^lA)Q_-#C!}Xb_%940ziy&%}GITkLVut=oES`on&)s{dRx!AtNxr zi~(tTD%HJMpU4w$+2>d6ZVt8!!Af3#1RTm>m10b)`~?7P+)v)w?4{>#H9WLfRlrsvsgmJeu3FF ze>vBba@A>gu%2;2Ft1i*!I*_K@}w4@DEA=t-k(xZO-N0ihH=Y4NFAo{yHUDc25!!2 zb!_BU37=^rME@clp}tW6vp^QXi0chxyiQ?flaJ2FzWhZGztZ1vnfxWl%i7u^HaN05 z6()?IspSYYg|vPF3OJ&I?bw_bU{LiYG%Z>Ez3)Twk%4esT7FHU>N7MA+3-E#g?Ss< z9WyMcf%t;~i+qN~(X)`+`if$PLbMv;v=In>^0>t9z1dtb35CwSA$?#-r@CD=D|sEP z`>XNcg|KI9>D1t3tzgri!HT)@Sh z@I~HsE~%A#MaS8#oSN8?%~6Ug3uzHusLHMss0_tW)YI*5X0x9Ci8=|b$i1uf@>Q`C zg_SbUmI<3w_j6p|3HH6SIIrw+6pnbWaDh;kz15PZVJ>p6moRei>M!{#>%iF?`X6bY zeDoj{qMxm+tYWVv!0QW6RVOK|OAL4p;ZTqCx0NZuDTPl~I{nrN zze6P@JGNJ&Vz$S9+Pso<>IC@H;*>?MEBI6VY)6%XPDJib>KdH<`ABtA0=nbx`&oL0 z3p)kbmrCGIjEkVoA`ka~RARq%xm$i|SsfQrxu-g0euUYO@~KZwUk(%xZgzvM5R{G_ ztWPoX89GX9n zu*P5PpxYDWY{!Mawvc41vEfPMRXn(z^pAcwY~i*}!fLlU(A(Pq5&$?qk_DSLD0fGV z*FyBTxxkc62-$-V6ruS0jo4nACx0^nDug)JQ`ctKpWaCXWez~(6DvWPCA{%AERn(A zI&~LCUW25>ZO#`443)ydA@|i+C$KIUdguK1mf5V7U-mEP;sY$(?v5zbc~E^XCLKnvy0F>5 z*nV0_kkfAdVTK!3Lb@Z^X227vyQ-JaJD9;E{_MqfhWSiO!2-p$at}f5_SSjIEB5&L zy0TY&6JwY8^fDx7|JpdR7YfM_(tZP%RRD-LJSZ0oHHN)6cm~`rehI-EmGyV$-zqvW z$?XRPjC}cXtUDg|*P$M9^=^H^kR6K@&Gc<(2ElbbDFxQI8ny!8CO#kzxC~S<=m&j6 zY4~dCzX8>-q-QhAqJLpz#Dy{Fg0GJL=%j6KQ{fhNp!gckcE~R757uw4Cl^`{xXmQx z75DXE^s})ydnyZSH6L;JR^}Gase02o(AKp%&xmVrpVjKLJ$YCs*oy_m*nD(pN6G$K8D!(vWPv~xrHBEHHZ2gxC~)+1X!blTk~ZW8$C zYei*_0Jb+o7Zv64(PLqctZvQ#Z4Jt|pRKmbSSetOFLB7E^df@N1K$zFk@8I0u)pj{ zb>r;~iRWEEdMw+w6stJWKcVk8!x0b%5Pm0wK~1<_i@&G`{?5nJ--r`UYTz( z8epDy6fxKeRfm!_10^~^((tys+D}d+eKn<@(LT3Zew-DJw)a-z%nbg=dZ^MG@C2Lk z2cbZIL93-2(*!vBRotRDA>^&>TMDLBTBkyf$!R?xNSk1?$L-%>H-wC)+yc=O9 z8ukS~gLA9khOdcOH(?C#(JFvSB})G`IF|Nh-$p(tG+a_#;wi<_Y7dIEi~U8rJLZmp zrIxA6wq@pCZ-tLG(z4X2S<9eB>MtnB6()MWvC)@4=QQjf4OFiFTq@^Ar6pCR1+- zox8X~LnhFx@1LFb0$*=u4Vit)E#6bd6>y?{Rr*O~Q^YYl!_da_5m<|epo5oDdb6fZB z1v6o1Us-=jI6Tbs#4`SMtV!rA{8}ext^}>jr>6~Q5wo!=7v^9^x*KYr{B$h|K$BnUSxfxh?yeC@+X#Eqpg1$m zb3w}I_~8d~p86|XfQ(^sktyfpa`=c-_9T9@-Allp?p%Ctvi3?(Rg8y}r=%PddQ)3J zJ@=e5o8tS8TU!NL3fbOl7b#DNYEj98Udm~57N}vXZwu?fWnjbZp#u##-R3xssR3s! zq*uSnyL&EmT_6%EMZ3G%jNtE!$8p{|cPY=I(w=!FP3Fp!kn-ig+e8jqQqq(?G5&@L z5Gl2-i{_k&pS0O9$7)xcIh%ese{A^0pgwda!+IN3l7q*KT0m zdqBUC9=OwE6)`Ynp)0FZ`C~9B=L^_N$oET5u8i+V-SODODQ;aZ7D<5jekT2+y4-lXy z&FoilZ{|uFj?NzG(*PT%q3Z&C^Qmd`=;9`4yz_Ph%dKgS_SCw<9}3fks_g)6e69=5 zdxH2t0oO*;FzRu?2WmQK3Yo05o6N7jI=Fi#5`w}d$eM@}5md5g$>%d$A8D-|oN`9r zu!SafRppVNat*o{zq=WUU|3R>&-*}T|L3tRnP(T4ab?SRwI2lDu!0*d4p4Oje}n0K z?z^Sj4Tb#Wlvd2jUyLQ-OdD`QikCmgt38Q>9(HFPd$1cI>QpiT%J`;!Sl0zEE}wFPO04tp^azoQbwX7 zA6C4w%EjQCpDyRN?)l3TA-~Zs^^~vh@1~cA8IA$cIF%%v(x4!Jv1~qOF;l4U!>0E3 z4WfPiV{`mx`{;anKvq{I$EW{W^U4NxA{SHs5F~R#t@}3I;la}2G3pU#3t5g>7GE-< zI7hQBYs*fuX~i0i_C&Eefy7Ojd{#o|3X?V4`;n<9+qZTj+NCVdb&A_%;AOU#YkW0r z0sUv5BOnD;N!gPo1|d}4&_0IRPUzbV1`1T(Pg8ZT92|HXp{Z=jzo`E)R1e(Is$X$( zyBlI~2rMJF|8}xX#Gmj!5`?-VrmeW1bgx~?d!^E7z9b?f*Rs6WFOa$$MX&rql4T|K zPrI~d;fajs;0D3JTVB}X(2vW&tt;x^(tK<+Tq1pmPTe~6n=aNq#pt(11pA$@AXm@L zpqEQdw+)=`4h9R2SbF+02@7N}CXH?@iEgl=U4;k+0iRH1lvoMWV~;>@|s8Nc(5tkBl)Xd8;2E3qk6 zbuxd%M&laj`~!blJ(Xb*WKcK;q~Ri{4jqPUc8psfI2<)SH|rODD|)#hpkcIXp>NHB zjb^C)QDGov4+?aIprm>^b~mZwqDWCufGGFeLk`eN z5T<2t>Td-b(CuCJjIxD|213KRztrjc1gpetZX^rMe(=gAdD-CiDi*|jk&t$zLV3%( z66-fPy!-Pkojd&6f;beuQK{p5nDS)7q@3j4X@|=obBiP>b-gI0E5)7)bOFOpL8V;_ zB7S(JDjNoQ(ncE(P@_-T=m{{K;B{8pVNw1m3^Ki$*?*~SXe}~g;p)-m-5=OWPupJS z96Rx4T~;Oz^LOhVb(nf?76A9{yi~KS8uiNDQBl@xq+G?#(`zz{DZmAPlpZ49P(j>` zgYQ%M_<6YRc2E+&`}@Z!x-1yml50UOO3MKNgG!z+T&62OrBF}UtO?z)+)kbbg9_%) z^zdRz^Feq#5DNhJfaNMh!DG)VI0Y{7mWgF|{`E|Z# zdBb2vmMzs2LWaZW>x}bt(w>Q1N_e;^!?y6gG-(vW9E18=8a%M0(}W&@o+271#Ezsj zSaKN%0ABLj8mio2FND-~*j51NTa#!LG@_?&JX`ZygjTE@lw0fdyYW!P9bGR!KeD_* zj#z$!&m1a=-zfjrUP3B)vs51S?(kc6&R;w@bO6a)sJX z&OiC}|M-*hQVGeySavZ+f}3b~1L;fZC%|-(0kj)w@ejZ@2_BsE{?GM56Qr5QU(=s0 zAtrrT=j7jV8}7yAeWKd?y6=s*>#{i<=00PaH}B?v=RRi5F6UlkV_zD4Y^0ra?lKTq`d95Vg{bQ?} ziS_R&8Y$>_xO-_-%)KzpUPwuP4Uj8imn|2v`WY*vOW&1`rzEL?HV)J9cXPB>gH<7g zrqlX$hdM^}+OB?dCISYvqGQ_~kB|%V=j*t6u1JL+M}dt^=z4^~_aKEUum^!7Z=*Tk zv2cCV{B8yasf?o%z7^43amm(&K8}<@(*H$SK%BogC{3*ot%rg?r}%0~ywa8q2T)64-)l46#oYV%bnMtoY7+ z_mhaE@5(Fjp&)IJ#H^yaT3i`NsU>$wwDS9kF1b!C?@CNkFFh26uZ|Vxt{}c?pgD}X z#?|vUYj)Xn;~b#@%Y30fsb5ARnUA(FIl5}h4=extb_$-B+ymd{@ID}ie#b)YI_J=IS35<<^=}{ zKUIaJ`7#!qm+Ud?{+1TSetDRcA|XI67z}i!DWs7YD8(a1=gKbqNhRHI$=FzoTvVw= zbE!~6FxVLH&EpW*8-IZ-?E#6c!CqXU!0%qRqL$YLOJxv_{0ToA=}qKz>*saSudOX5 z&4k{c&tr2eMfZ}eZcZC7_k3+0OnUgsHaDl7T~^Y3EB_J~c|ws$=rj@lesA9zQRgel zsq(#7823jzL4k8hllY1N#b}E)=n*re!4|N~$pI@g;m2@zd_`;2$csfetWbHc1Zy>R zeiqS{2!aGVeSR-H`@Oub>!unDf?Hp*$}L%JL>?B2V96F>9Ip`Cttf88df4$l%P^#m ze~7sES6#io;hNm*j5UB0JaGm4ahMRWWJ?S~40#p0#FF0x4YJMHInuO&C<3mp7Dvo< z?K=5SMni5r*7LJ3PRsRqL=T>SxRzlW21%AU^RWXvHkfz)kvQi zSay5oL38R&9S!~3!Jt@rACKqE-lY&U-zjibjC^s$lJo?o>11m2`A%^i4-A{Wv8e#^XPJ#`5eets;R~V1KW?0mOWb^40k<$ zfxQ|NX!XpJ3bf67Zoi+?knjfiKN(?Q=hFM~{*<26S#38#M4S!Ylb3PP?>0bx1H96i z?k~nf7}|=??yr)JJLu=J$LKrw+ZFh@%26@@yewCU<7x2D8kGbmZc|(aZdFrfYN=YR z@)AJ0S1T#*H+P5|_{X6lQDgUoEG2h461-D52TRv)>-amx_$*&^oBSsf}N5#lN-I{4}Y914AfwUVw!D5I)2( z;fMFdPKx*`FvQFFH6*l)R2kIM0&9^2o=Yq+)f|u?gRoOa3%!Uv>Y7@}SAK)(J5td&o#_0jy7-1j z2Jn_sJTM(q0S?hoPn;Ie!`!+wZwwa7``tMM4yBLT59yUc>h~LlOYJS()(4Fo;zCh; zW@Xpa)hSPCa}domMmLJoEQw4v94YeoOvgNSyQ6IY?DnZo0~6?KL2GP?WWuNYMqE8^ zS_tcLw7gP7fj?pCX#;V?T4pp8RMftnxUl{Pu|gN;oR+8!ORwt}uvSci?paZ;sBy5l zJT%^(T(A8-2tLmr(Q&m}k6f9A`|4gp*_5|(rvSbq`8Q@PtSA){h#`~%t~cPndCVRx+{5$ ze>}znyvlPpsZCz^cERqXrZ6tRyUAX51E!fO|DJMio+iVAgrV?H@*g$!dwGyuT_ow| zq5A^c-sk&x5_}H~FVCoL!#xs408@L}E(6kCzU@DYCrA0%WoQT-ez>ZUjChH2UtOwM z(Y*QUb)D^v?t^|fWIg5FU$2)TXxmHdg6K&9d0LN*KNF2hh zSDsp$l;2ChB3gZ^PI-oNEL5*{^RR2HAX1+4s8r^#J9V0S@K0f(J*(k=FE%y&_ab1t zQZ^0FXzn{NkbJ(gHg%*+8+$Mz3g3=s!v9Z;sxTEYM#&2qu>WrIc`-k9_Csp#(U5|C z_<-lXO&1f=!?1oSkq42Z(H&#hb0N!tP(MM9sx06Hj`n}u+@$IpY-n62pM1)}AoEoK z+NBjS@^7jvM3`E@pI~rmWS!bR^r32@*?z36zlk*+ct^(HhW{?*a#{A2U>tS4`h!C0 zRpWPJ^6AMf^^j`95@Qc-3CX7c>=L`EITX$8_*C1ZP$MRn)Z}ls|2lJ{EIS3tic^O= zTGZpH1%xbB8%FAAnzb{&9i^Y`Q9GD@CJd!XUM-631Sce@jpy((7`b#&s@TUJ3`iW+ zxCCC;T=4Q)_kQFm;vVR$a0d}SXubEed~g`n_7Q56a;HW?V9ppEq)kt2sRy>PcE)Y_ zoW$YdM%%cLVDuvKHne9-0uR=176m|=$6abd(?>y{?0%7&i1x8V45V>Fl`n#4-v5{< z*XwUa@(_MM$Q`Ap9Fh8O1R57tuF^8!tQJB zShtUVs4`c8oWa8k?OnYnex2i7%~7jO73$CY5K|yRF=d;w&#lU-#E$fWq*QkJUp?;P zXtxi>9eLJ;%VnwRcF3gE8Pi;SUsxOmDR-m&H?KL+75`NZPW7mQ!bSGP8W(Jc;cE2yFUk7zb*IqDx4nA z_0;DHwbf^jFHk1(V~#|)uIjL8A-Bk08T~B6koQ^+)G8NQ$*H8D?lj%Gk6{=_`z#Gf zmB93IaNdAALNSuCwj~XZwfYTSs{^l_{X|ER{E8$V4|v;p*X0}(!nHKALW9m6;GLAi zm;)HQy~4PIQx)Jal4AC(67ckgWGQ}R%D1&#&3co@u{mDp$C}W8;Hxe*U?3#*EJW$N zka&1Sa-B=1L>54^Ly&6j7zeWg#0=I$oF0i*T>AD&jBRg*uwyik3%6uHsdQdgBg(9+ z1{IZX(+a8F%HUIM@ovg5`~AUGzvrqQt&M(PZ%WcZZ1GSMGAoz6-1lPF zFMD%g1+0z@mW~t)OwPtP&KyP<5dcu86rEVxT#Cj+K;RK&f2WT;Y}j7v@wmV;Y?fM4 zgMXtSWIXN;|MEZdgOzUkYc=S6;B~^y+Mb0$cXbi9k7Jbw#e)ve1^5^63{j5m7gjh0 z^6<&owMLH9A;ecP&O`bW!#tUi$Nr5g5|-XPmI25}F1uz8&uYOF5FAbqysNjKfL+jy zGHa^@FDzZ!BWvp`Gj`({7Ug6(rE@LHO}Hdwp3Qp{2Z5#74W*Z!9P1o9`V56GLCl0) z=Gd1OQLUYOXqbQ@Sk|m1ZtqAwqF8PvxFieHwx?QWVvFzU3sv?Ic7L#r=g#~u-%!;bYzD`R!SypF_Z;m6eDftq4LJ|{D)(uyT9T8}FTiMi=Mi}Ce*aqO z`ur z+h3nXMCgU4eh(PN4=}eeLGz1{pLxG7c+(~U5&QbVXK= zhYdkZ%?E_kb*XYaZmN~)Ida50qZcpa^Pcw6S74tfuNvOO1?W)`D4|UD8DuVQA3C*L zmZrCLUtz5jLnZMJ2B7zY#8^-M3j(lyhkB`Kzv8S8$rMzb7#ZI$E*hq7F_YKo*CuVa z$g*VzK#HMwfnuk!?kx&VEK%nI5rC2$X7HG6{r&-YEu^N0+g=w0Be-j&?*)rke!SN>LS_G(Qyme#$9U;*!) zHqE@AlOmp20EdiOloDSORint!`MQ*bQqqEV~g z8yIGVxgD2gb$Mg&T<1C*|DQIl zJ*bH@h>!Jw(lXR1QMiDj0!zidVf`Nd77=@BgTB#k;p$-UD z)QA}59S{Oyz~Cq%Qo!&|BFRvo$Rk8Z$UApEtevT(_s7l7-rnARyEFIA{&x546*nrA zMs+j^^0&!IJ66dXZE_&O#>a*VQ>O<&OS7AXp z?{>Cf9qS#^f81@Lkp2>xqN5_TYu#TIqthNy)>5;Uem$On5u1wE4;iR5Bmg;rhpJGo z%(pI;^5ZMpZbwA5?91qm2;U#I)AL2R%(9?v(yP0pp~O*a^g7Sl%~qA+yIF{d)-v6nAK~&) zxFIQYmhwx=J%>ZVTKK zTT;%KqDvXbURzvERVKgGSBPBgH<9RC`b5S4mP*2DE449XF=!NUa}`>qFyMNeJmg0F zNTJ4m-;;xNXpBSvwjXwEy06&yAqR>E+><@_KradHRaGiY@*!W-)lFtM90nkH5&XC>Gg5Oh+S-1+^EUS$+%CP20#hV9q(^nMS3$NMDSTS)WKuvI?N-<@ z2+U^fD=BQ2B2Qq`Ah6}2;OWk@H#=ZH0DsR$H!;m!Ge&jf0qvETsL9|2 zd)KLCj>#{j=XC#_Ww6N$-SNw^acuaI;qd)>itLgGp#b)@akRM!SN0$^`#qKKJ!BHls9?*o1@lvvm z51Ce+gSmU}3a>t9EL`MfIeet$mTA*FNLkRp3GV=l7CzY$&$QiWj)tr0dy2R#h>!k& zMI$&hAM&#sL6sg@TBKGjY^ni90W`Li4{4qDwszprokA}k)~P4LN>$7V!$lYKlevzJGVhx2;^N5ByY4m>=@ zQO+Afa**@J{g0eCIirkCo=?R3WQ?&r0f9`M`yQ4+bkK#x6A;@!whfEHlIQYpL>y)= z4@1N|*n#oEyk8gi?_#~Njvv93y&W8YC(b(ZV`B)oe-!>#AC5?Lki+?WAG&sk1!)rpH4FYS zy6{mncQLwry=r4IaByRIaE+E#w%#?kzSz8m8r)b?Uta#SP8KMS$WocwSf}VMFK2*1 zp^M8hOF5s%J^seSA^3){^Ge#}U<5sWy%8Y*ZH&r5sT*UhC+K*A`ro*XHV7?_6@ZW` z6Qu6P4ct1h)MO2JH{&%^i5@2WKXSANX>WtaF2O;0^SWc>U*^8Na`6K|7QoL&Zs za&})mExbb1k9c-T{$bs9%Ip&-53MTebPwN*g1A7FFwPrQxoD(^Ld&m(lx2caV(jpD zwYPHXZ-=~hB6wAs=7e@yyi{jDZn|Sp>BX0!!s9dh&crJ(h1$Ur{p)?Ly)S;8^B7VV zl08$Y_D%~j-n)4JMf4CjK6CeKd&M1>zA$Q!X^?eRSBqq|*m9rg)SqB@KISGYHc)ze z$S;M{S}1a7!*Kz-SH1N&w!770P8>H|oyn~TkW}uhs~$%j-Oc#&$;j@Cpu^+ApK1#m zBTc*)R81nWrbO5D7=)6fhhU-ok=0=E^%z*49% z(#@ratZP~$lLJw4Lu^4!eQWDZg^1g;J*Rc(WhFfzY9F-v zW@fmz$uXZuGoCx;Mt@4!w`BRJ4eC9p^IwhVO7OZidKS%&zIS`vZ<=$)2Bo-oT)-E4 zwbEr5@H%BUqm%Sz6R91uU3qn>mqwq&icb+JcKs;I^0IlguAmAZ9%toDvg zNi}$jaXe?P3yW*i9I}bY#}Gs!Z1nkMX;@wR`gatt!+cyL%aD!V^vBdv!u&SIkxwp= zixjspk8JRT{_XJJx~NhDrGjMR_ghd3)=JneE5@K`Tq%;Zf=bz{KCi6XV{qZgc>&*7D+cS^nM{luMM9fDS?V4an3Ynd)jcfpSYl;r{g}jL)HQC0htTR`F^H zJQ3xCEF9zTVOXtCA$Ven_rIrMc*H7GjeX$f3>^S5%`++7TQHrK}F3w5m;YW2<}giggc`P|ml!u(rX*D&p>Fh0?np^-gwDDNyCP)+c4Q%`| zH4r>84d}lohMc*#gaMQc0plo)KWnrpjl3ry+%Rc&_@^!s(-nZ;M0q3s_gaRMHGKWx zaknU9WWK2aft83j*b%0W42&yn8ho4=jAPT_2_^$9n|=X{q;I(rSO#q!T*|t2@aA`Y zt@8t02ha0w9lW_Gkc8rX=D~3>bttiom=zIXWeYpQtp|%&fkc1>Hh|AJchquVIedXgEo9`j$_+P8^?;lm)N1;Vy5+*@h&EcA6lr@u zIY(YH{Ja%1eKY@_{TBrxCj0c%}Qj9X_U({5ClYF3X%7)-!C-2XHNF z>pz(YnboWFfA|u^9aSvQN8P+&|2nzo5i^8joq{(E)sF^lRJ1HKUbj-g^)+mCG|=4J)>TX;aC1v8&1Y=|bvn15X@fDvBm zI**Jf%P{%qyfIRy4xXG4TK-Oxy%7|T%$0d#nU@S1dXB)p$IrR?zCwQT>837o7P&Ak z7KMJ;3-GCe)rEm2cUVRsQpj~CsIT<40ZJENS{CBRoA~+NyX+vE6sqb2d|Sd9BA+Y& z%Hu(Ef9Uhi(ZN2r#vbq`y~_o4GPGj-il)Eqrv=HiuwxyLFFe>*<8#ASJ*QbKEh}6X%};%P%CqfB0Q<}PJ4%}M`9d79osrdF zX7=wCJ$3Bt>q~=4k?D!U1u4+bL-em4a0~?h;}W+q0zE6ayN7|b#D>E#`npk z870ohRBwWI@1Z87V~hfa+eOR6^C7HWn&y6!KmfUX2ab8gm4q&NN{=RV$_~Znhp$DL zYKRwjjP}`vmZ#Vvw@=WeNb`()wdyCLo}LyNtCzLck~b?#U-ILAS_(^^BiLQ@ zy}%$yuS$GGiKBDXa+9F1e!&T>4Jki;a5^f<>IQs6Vgq_bzp|tD~<7S zaN9lxtD`(~RWC>+Wyo>(ULCvQ&jt<0b`y^l6EhOE`5Izbm+UyMli)a4wSl>-Yug(F z`J?QFQnjuw6)OG4Ybaqf)pexThna^iQ;LD(AGdWi1Qymh+80G&FNHd;ybxN!XH36}|3o^4F zc6-|2S6%?IdDk{@-Spj!dT+z!a-1Ibw(+6jG9|aXr2`%^%B$qGW6oA(`vsWRo{}O2 zo$Di>3w;wgqTV1tASg5s_3%qn78h2F8cq8%8H!DIP>_^d2 zNePvm5LDI`v``>)2bWr)2N$G!Od68DPJECzg!{A&LhZ!z8no9#MRS``c<97$Ey{bYLCXrd3j zzsp`c`H7CJE?;B!S(B0u{|85jp1OM>v*gpeF<%$v>#XvQtjK$tHpFGVFWOFP`}1`E zF1N((XFt*QZUs_Ur{M^qC$)`bI-&pJ?BW42^UxmFk1fSGkz38vHpMp!Ptn>I+hySg zf{&ds^0D=plSnAoeonyipd3vvW2v}q&&~P|{hjaj zxU)5-yxk-#nM-@*q^KMgTSOGHazArf+j;3}Yu&+>r;-~l&BG@xFLznxrCt~>ASMjw z5AIW&PIzpwFN*x~*qKGxQM4;H&i8Hr%yOADRL`|PY&PN0GTR|Gzn41^&>6{&tCIeK z=AoUmQ)EZvjrK|mY{qlxRgZc}k(h(iewROINI_@N&++1% zx+Z65{`(!RIzO#v*+9aE%i7QVyjNVx(r@h`n9GlS!ys=c=!iWU-BX1N;EHOn?_jmZ z#c{<9luF&dAS&+v%Gl%fF-V=mO{P*9L=!)9Fo%*P_OA4`AlHS-KNfAA-4-g8v&6-i z4Ew_rb;TA^+qI^oqs_FKl~;YR(_-#(ldVD2k`PO>%fdFgRPpHnN}mqeLJ?W_P-M-Z zhO6n8r8J-PU$wkutgy6`5$?~~3556JJAQ)W{TaneW*2)8cI_5Yg=C}26L_^E%5_p? z3rvEeNk@=*%PdnYDD$^`hb%;BqiVMamTn_FUSiFo9#2_M^6|}Fu5fj;s8iryZ9gvH z^CUCY!R_qmWSfGWLWgHh%_rRRrKkPDp(-P;VZ71#Z~I^^dIRZ$)PhXkl^2swIbMNp z0zdHz@G4z8I}6=bU6Qyzd-SZ%agtXdwIDoi+^(T=M~^mFu(vu(9;>Bdew`LiZ`|MT zQC4pM$@V45o=6n_Nb%v2*zsDYTHEIeVJju)yw7}$+8q{^yE9>@je(eSet*lF+{%1& z@5TG0E5wu{WmJ}HAIvF)%gkbcQZaq^H^7K?LU`C$w*_eEKtXv+Oay{NavmtzUf}!d z8m4==g@xCK`lfWWk{mntU3~&qZ+%uOB(Auu!IVZri_=Q#;r(i-pz5kO6J0*m>aZF2 zkRAhuMpCk*@2U9o7!33^w+6}43!|DP7%)kpcfDeNNq2?Tc+D%{`qtx3&Mnr4__PaX zEg6W!4R_FD<5j9y3Q~qkYWPJJ5 zvqH)?FR4*MzzV%(@sFT8>50_JadnOsHZz>F?2={XVsxGyskSjK!hKNIGeSl=gci_+ z+dF#Wi>8Z@%rHpRFMn*gV#9mI+l)km@XcdMH~e}Un9_BMu7>eMMk~{=i*q) zoIyB_vKKN^sFd~jEpD<{b5%Uf0WtT;`9uSdV6p5Pl?CJ^J$Ivmyx_>B9fg$ZbCQHg zvVBM3FWOW08RjjNQ3)_>m1l#oqCws@U}kfYsB=5x6Yz7m0-GZK7zm-%K9_ez2%ytI zQh1T~LSBJLT^m3^(RQz`?R?ihaR)>BOgqR+!qk%Qk}kdtx(Ir;ewVy=5faxDrJtE(n*PaKR<@V zWeD$38m+PhL_r1t*X4YEgUv>Fs??-o)(s;bOp7qEbx3^1_m=>eIV3mLD5w|(?P8uu zsnC{?b{@azA#4=L0diFb68G|P0i@2vNWGzWL#)vI$fANL^sG^$E!pyNfU9Eup2$28 zJC}R4td8NSPs8(Soa(M|y=jcu4L@y0vNc3OR#U*j398f5=)DcU78UFSI3rc~H*-FRXow!G}}9dUa^0_)MKO21EE=-kvJzF%i-AjT)u zew}&Mrik4quxaBf2lkGqyg1@?>4xY;>}OwjMcgkqfx)X}!2`}@b2$}&t6Wr!w!eil z6}CA1zLM1o-1Ekz6oIT#`=hIqE(=5NuYc(}K^fRvOG@O6q&@uE2b(eMz9(?08m@7= zDYJXS23B@Q-y9Uv>>#1Ei*w(CId}l)E!q+Gr@i9Nn@%WRBFPD0(wy*aj0^V`rd8J) z)FU1%Sc&nkIV7HUTX;1mIbPYtwv_(}ZiN@-H~ML5L$n|#9Aa{<;Kh^SOfB+dbxVF% z*i@5X7VsXO;)7(B^U40@k@LdbkYDrJ3zd<_2D+I9$R2Cz+N%H{Rfs^u{;D0K0Co=p z-HU#Fv!(lhc+mn+UPaf^CYU)oLU~_C`7_1HQaL7B5!Rrbz#wa2ss51jSPNH8V>l)& z!^8}C*0dFI1tr6%bo7RKDvB{(pp-(+vRFfP4!3Z*GJJ+8IR&MxO#^`)g6n_gbJyKl zv6#8m6&{jM70Y^id&Q20FJ8A<$EY4S@lU)7yY{hG++O*Tw_|5*8ue5+a-3y!vU11H zdk;=dpkMA9FNo9$G~f%VVOwatz2YQLw$|_o)oyAT*rRUQ_OkGI<(>QA2azH6-1aEi zE5{pGqtEj_7Wj|>g`}N1dGnp}F2qE(z@LySA@YB7mPE1djP=VWJbw;!(tIWspQwgbHAoh zbH$K0V`MR%kTb#}ymR}pGd_HYHQmtDr0mZ-5|OzU0I}%rc?pGo*cKetE@o14a@z44 z4zHQ{c3D4Nhf^=^>i&>lu`kw)GuoCC1+)C98Y-y>k9Ue<54JCQnzQY3{PSzH6iL1Q zN`voRybA4xcA^-@eY>K0=*ikEbk2!G=Vh-l(MB-pjrlQ^3n}=VQg%`sGConQN%Qq& z;kB$#%F?af!B7}aNr?WdqMa99tG&;Ee78GyL||vY&Y(*@hnBt?9@-<3D*S!XJMqeA zL)n{b<`*v>dMx(B?ch!X12*J}?x{TaqWEmGGWN2G5nb|!>o`}Ufv;OMI{wEozUPlu z`7FeWG!v_z{S1wo7_P4_F!*gf#ELF`Z@NsH*&~5I)bK+NGS<-?K6XZicE$E|(^)U- zm$xBDB%Sz0^tg0ZznmQWyC+$Urt_=%i^{>=*JI;D$Id>_xpW7RE6G_Y_^#=4XlL4~ zV`pw)Ae?3P5eI2CabiVNTq8rY(Kkx$@j2-{n3LCnA6bCC@0|`D`gq+M6xr2&&4)%@ zjpZY03Vel}@TUZ|-c!#jU#{xBqoY`Je*4yP#W&35$DHximu?SHx~p@??Bfd$Que8q zU*$7DeEa@fQfA15tEt;B@YQ&ag+9jXTb+Gb>56Mu9nVfImYy>1xIw)3rbqn~PHAVt z^}zEOyH9AnXfvp1wvPQcFg=eiw_xWgp!0HBgS*pxh~McbTC}0-_dP35`#LU)O}sjG zX1Ui{Iw^lg(TXOkAHjkp6o9?+Yu7KRp4!beAoX=t#@A-$tVEK`6?o0gfHS2hUzrMB z-+^V@k_+PWu`^%iT66InN79nQNBd~BPX=%OFPF*+Q4IJ0YG6fQD+pgp(R+c~w(>Lud$XbNl;@$R4fD5`r|~MZ<9?I@ zb!%ewe7loqZ7gA;tkkI5m;ZeEO-2cd^wVnam^#ORp^qLixvaV{a@*ZC?xQR9LGGQ~ zYH?1d2q#Ko+4v2f{Q8hSz%%;IK#$n$K;y;ht=Rex;vh8Fyn3m~U~L0>yE;e2eFane z$IKSPCdjiP)0Y2_M92Zz^IrTzneq>-ed9`QaaXDZH5Et>$b>)6Hy19gk?+Bhqa`+a zg;SILok>^~Ar^%hMH#O|it50exvRn^&=UQHDYWN!c+iM6-cN6A4c(Z2cr}d%cb_u1 zDS{-r!x%}ogcKv`wmpqkj&Q{u<7u$w$-v*X=gap$y1=$17#BX6&<9Hw$UcH!%0U

    W}+bN z+!jXR=q+0DuQrJ=E2jG?H^y-Hrfj0P=M=@RklC^23gT|ia);6ymleYtM*yj4M&-wt zzq_*;p|ry%x~-_dp4d4ZnnpCJ%xE?dxj6$&cgmg^{-uy7X`Itw8^ZYXx4O0mpt4u# z5o!0{srN>L_N|lSnOlx8#YE-+buyRS2QBGF)gFT7hKQy^m?MxAcsY3|5-HAUEYcS3 z><&-N+c0bIa-pEmJ}6HC)w2e19Wwy+HC;#u=wM;8f_bI#O;KW;o?fFams_`0nF;H_ z^B`N=y6e(^v5A3l{&36WMNw(MZv9-@&f*gQ*9Qx|+|Zfwr(AIffezVj4pu;;LQ@ta zII-WD`u!y4Jl9dEv}omLr^w*IB0i_YO1MN&9To5@ffP$;0FS(PWDo<1a!M4z4Hx43 zs^>ih;2Z!Iel1GsSe3n{ZQ?HH>Y*GX7y!+2X&+?ZINB2Ekjm$G4DI+hk9oS-rC=F@|5fF_FOqk~N6n zreCv6AqaaLUb0x|uKTPr{&AS`vBDt2cESUoAPwJDlu+bfhVx?RvUbT}Afv%w00C~< z5Z~Lxp7*1c)TLD_F39tleiwOR9>7zd=Zb^R$Zco>}T*u>_#+`WY($Zei{6{BuD+%_Su!!d{#E4(xdcibznQ z+seSO1bYJq$vo)ue}KG-NALZXignm-)}|U0Mi}(-Fp@knOanz2hEcF8 ocKoLf(`KW=0vxbdq>uk}BF8NDzTZlJ*k9ui_zJg{Zw~w9PZ}>*;{X5v literal 25654 zcmd3OXH-*bx9$Q&R7AF-vZcBeK?Okp=_Ok~#Yj~Ykgg!TC${KjI;=ZB30=%^bWc6#qZpE&bjB;{dFC~5g1vl^_Ds3^UPrq((?at04^_e`GlH?F1HtdI*HujaGU1w=C&A76%3j~AUf#~0 z9tyImvhp%}od|?$-fD7k?*ID&Sx+xVxjziJTHz*}ubsK%jbUQ%(SHsPhL0A8*(Kut z_2-2faibmnB@tIkl_p#jcn==D|GfL3e_o2|U4Jif?Ul&+9L1_?Mg1zu(6#G^j-^eSdTQoUV7R-KE+M_n-Ga_)B_JiV12(9(1&2Og9pm1MJ{zMse?y-xdK{b3=kb@= z2KXQe8DpIAi3>Y~alj|-^G*_cU`BTTU;VjRW<88U;-DY8UrdcJwU>{Q}j z3@3dQX2jT+aO3B_2frWNxBv8mXp0S;m=W<4aV&7~8U40kqyY!UFhBj^U_4Clc+gBD zom=opjZq0Ea{RD=r8;?lYB*k)Ob|j7H}j44h}kN1!N(>k&xb%DJlXbGLb>C@uA3M} zh&Y7rf3T)+AYWp;8zTi2Pky#99y^=-Y9|$ov-|i@uQof!oVeUZ7;X*glz4B=n z#W3i(xpMs>Qy~Y=YaxlJ5AbUksc~btj%e6`!LuWo)OI3qXs2h>Q329)ara;LOEdQG zHwbQ8-;FoHFjyX~M>8xNHTqx2?KxB&i8Jwjku~UBEL7g*LUx-+l5t7iopw$QoxngJ zz1YaKJd+_s46CW#ZHtj=6`jw^6P)T(O??zoHa=8hu}f}pQQp|4E{~UM`>!o#7orEGITQGkeNUYZ>-RjT{xG{|}FVT8$9kJ3DIR-vO8^WxQMbR8omzfHDq>TCU>NIm17 zr0F)lF8i55mmL%LrOzg>4|vyTp6T($f**I1C^Ch2w0OGTuly9Ghb%{+EzpbO`VF&n zUR@cW2XGAx^Hw1=8Ahod+0%f`Q)ZoI-fQC>9PnX+jE zW*d@^abYsm>^0Bq$K%sJvBd38RsNjm+4 zlCJ6Nz75?g`R($BWBK)mFihy?W*kN$9`|+g8cB!yq?;RHwX7-|gSExF-WXT1_*&L4 z%M*Hc`R;+@F_W&><%`TRto>@#@EnzWVck8ATCarqTM$Pw<}649(OR1RKW^LiSKFuO zp=Ce#4(&9aLe>fr3*S+e!KJC1X+w|`6 zr8cFeo9rT`zt9=NI?@fPy=%*7Mx4C|GC~vkmJ&mSdX(}{t}Bb$+}W#Hn!J;ml`f6dpGDOQ53~2NbFA&&BX0x zP3H7}w&Mc>VdAZNXqRMKvM%E@tuIF9%zaO4P?WSF310sC1Z}m``c}^>_)nGGl-*su zp?e=#U(n!5=F)t*VZx2)ZesA~B$I;gF7#S;(~-5+DhKC{l2}xQNAZF3RrjHt;OJFg zmPY)=<1v=r`a?TwK5XdTq0%4S8_d%6C_b|Ij{lc?I2{pRHk0>t%l<3`gB9fN-qB(g zKJ0sY*RP=4;XV*g;SZt_?)TgAPMp8-<96?4W$JA7G5Ui&r+Q!tFlY`^e?x(%*L(*v zV3wKsPA2lf=8B}O_gkjd-lP|~OnsH6hssH2mYFLF!k}?hGb2$l;RTUAgRBdifI5 zUyyfwkKUQsXsZ7B+eNdTbx=KibA_y;gWlADb`(T~qj$kSXvbFD%4>@2<>Kp3;ffeZ zQIdWg5kceLNtE@+C)5RJ3>(On<`T#OIoxk~-LwAm39LH8yqc=6Mvk&R9E;qZmJ5+B zKi|H?$7(cDy@j(q%sSxpVNMS0YZmwKnA29dGP4L0fnR{s@yfBzK3p?pR@6_zP~+UX z6XX0Yx#!tW*QEN?C0xzP6%rub9xW$&wO&m!#<28HXm@LuyQnLpj!DM3lJG6q2Yt7N z1d$!+^^W`3DiOj?@~3A|jt-b_CTPPYtNqIK;w~!)_6#9CaN`cva4N;GG?j3_$$>K~ zE4{$LqpT3c*Z=JcGO2%@Bui(eH6`jq)%?Yo_4eJZ)E!6h8@HaZzVU~%r(yL~gw-`K z(~k@>Q-@XhXGEVgClav!r;3N3sw${Xeyqo%^@?o2CuP#{`2{|Sauf!_=TtgNj`uTo zX-F;5{2i^-Irkj>`f?)EnQ_B%!;71mD_Mpj7)_yY69DOPv4De@{5t9n-H?{Vgj?=Q zOC~3nr^~&qSdf7~WvDcnORLT>TuOi5znYVEO%jX!_)uL^Knh{3qOt(^{6OpFyS+;z zy2-ZJqcOJ~0|~Jj^OjTEY)ahq(+HR_TdyG5Qdc;rJ z!PnRkj}LsQ@%I(^El9C?IyycQcvdHUv=xPmnvW3bY=>qBAD7IT=XtoMZi~6Qxk6Hb zE!FDVb|A+A!1a+{tjW6Z8)=`sD+%yAGkPh4q$tH6ifQ?HkFKwLAdqFXjuS>Y@RJX} ztlsx_J*=q$MY9sGsTMo>DZvN>gx`wAxA+a3%=Yh5&nN6qyXB2FeK}Gf(dK51w)8Cm zGcyh4t~j?+pP`+E-2$ZJ@&N>|S*B+RYpRL@aa|7u4%(!suh~@DeCcG_x5O&@XRZe^ zSNnA>LG6X$z;NcV?-HD0{_G{>sPa;`~_S(<2pFg$6}R zN;>_?%(#_kW7Ot~nAmCj%6C_Kf2`@e=7R0i%Ji?$-r>oh+4p{NDP5Vuv)8UpGc*I9 zY{Sh1To$g*4YypctapZ|k#_jDU$@pi>SQ#eNDvet9U0VQ;hU_K{Rf}*HkZrBBaS@i z!tyuF?hK%R7LGDFvALF`<$cKNh&{pw3@Zxv#yDXc0k(HMYO?3dx*aAOyE0ES9pNXc z_zxvzBYI7$Rk&t5MWJ38d1F`Q@JvR4B!M@vR`u_H3b07ZxC*h|oc`z!dV^t#drAG!0rs~RNN;(l3{ee zqo32cIAXK1&wq;k{5l#fx0w&Kx0IFMbc;tY>;#tr$CrKX#qM6yH7Ej9)j|YltWj!{ zAgI7*GAn|93iQkeF8u`C&bGhY2c#4=g>!>i9B!Ex-a7``Ho&t4k7$gxTH zz4o3+vv4u`Eq;?qM7+3w4~I zhMR+w>OOoR`5FFYL>L#Q_{6VV9figAxAk}@-&&3{$!~w$vA-*NHW?#1czclTC=U#> zJ;|9RAw*Mm4qre5Cx`@+ZJsu2+&;FPj|`5vT=4pFo4K^mLrG3J9Ls|Vb!n4>CTC|C zU!T>+Xw3BNvtIop$s5Ivr?~ANJ_!#nbI5XdUb7^><`WS=%OMGj@hT*;_p5~TfyICyGO*Yx<8OycXY!gO4NizY z#a=X|7drS910xV}mB?|pD7cveBli|cRF;&jxsW5OPH|xOE!^{7IMxko&J>MA8l1E` zgbm5F*I3NSj{@|p%Mjjii7Hxj0sQ9!s%aEz;MaXxT6q*3e$33ouj66_i4n1rL?{G) z#KoW1)NDi5o9*NxMf%v0#a}FKA6=1fk6&5YzkBsJjP~~O2ePPNTGQ&%uCNoKMp%8{ zMt*~kr3RPM<#EWk%$d~^Iub)?yxhoPRi9y8dlVcxm+c3)ZNU{Wzv)PUPkIf+)91@= z)c7z$vYgbS1^GB7uKiTzG5_u2)EN6J*#LLU_S`mY4gck~fp~TCqEOC99(l{-OfWfV zjKk>wQFkh$xq0Bg9>%Fmg_6(&L2Phq@mORDD>%uRaepUi=bJVUy3N}8^vZ|&FAe2j z(~6o@U*}_)vGxJv&Ad0NOQ+K_^?jZ_l4zB-GX0$svq~qjd-K~;X0Mf}CO*o42>_Jr7fxKHQ0@;pBaez4(!q zeRgWd&~zkJ&ICC&qs7F^r*qlN>0jU;CyN(;_C8c63m6>y#jI4p_@0G{S#@-V1j^gu z>c2hKqgpEoV1zJZYi;nMZ^?%B#eTrfk|-7L0e$uRn5My(xk*U_`}Sgtr)w;>zSiWu z`a`zg^sxF10W)VhSI1p~=R4?)uMr=_7=QV;9T{p>xa3_^kGGwS#$GrFPu!v(hv6=74dET!80Ux!W|3E)E&$CXc?4CE?Rj#&uWVH2Os|k!Y(xfhdIrdq&F0gKMO$uZkjHf{4 zfz}wPy(a8{3u2i6Y-a{m&CS^l#Oo&Cyz00vS?r}l$RA0gY!x+E+f0yMmosqW@E{4* zz9;pEXw!$V*Gb?~9#mqP+GT0DO-Y0yQEiW+Q)eLlRc!vlZBb`wWowh+>)8@UI(_T_ z{h#J$3T3NYG&d$x3Atm8E3g-<$_;z-ln72!%U$J@WnFBo#i^*OUceXHF}M6nQ?r?- zt^+HH<2y->=H($^fPnJ%q`umt3$CZ-*2i|qov>=<)T?@`S*%93uOLBw1~5olZsFXD z30gf7xnW!16bW2JjSq3q+&D4Kl>PYp)|ZDd@emb2q4i9BPz~5cM@ErLy{_RpEb$ckcsD4QFDzocfuc>4xR{-8q!BAxa~FWx-t7VIUXWSf@C9woObqN%4nIh4(~J}mRnfJ*y{o^J%GLP_?cghq!UO)3pL!oC zoJHAKcRG-~+0L;@i?dQUKLf;fo?x#r#~>kah(+{lzTFtiAHyQ_mGuMW(mHeaM9kFq z6qN)yZho41&r7HM32s`E4P*ct?pYj&FWS62YBSDEFL+6!Qp7ktvqT;^$~wC+uL&4A z5IBA*eR<|kEO*R3&fj($!@d*_n2a0(X#$?n;a(l>&#EGQa^yWKbKAlLFGkcT?0MK* zWrG;b?kI47#bg0P$YeAw1<%@#q=U)zL&h2TKF(8RbtwXAEQ~Fm!*qSSN(oz>tR=C_ zd#d9uS&2yCmA)VJAASwvu>AqVo}poK>A>QMP3r6xX_WzS8D0TW*4CvNAUlQT;bKkNo>!$0o`r*s*JUjG*W88F-DMdfS`#-fS5!NTlx|X3mxJ{Omv!fg6EHIOt+QTTU(Mob^Q#$ush4>FiFofJV?syy} zIQbO!$I#VAE{y1i9g2dOK>J&jb+^eqrQcZ1b>C<9_sZ)25xu?&ecqR`Gt4JR(MbL$m!5 zSPAJqP56w$m*$yoPDAX4ykZv&qlNK|IXRjGaL){GcnQWDQNxX4S#Kk4wDzcE9bP^C zP$qukf~n?N9_+APrDV9awP@L8K!BQFUYl2)RqZ$Ih9oNfipKuln7ceqhnzil9+^8l z6s!1aEXT0Ez!MQriHi3sJbM+h6zcR0RGxun4u60x8?-dkjDYN8XlKQ9bc_6v45q)L zbpU=lh_#A$!jugjs->9o|8Atjn{`7EJ0WmmX~;g}A`meer0g4PTgUQDr$%fbpO)DS zd$|Ef#o9bEbrvXtfYff_a#$|SyAEkHML*>jmOJ5+fZ3GKqZIpDCM5QH4z+sLA%)09 zX=^5yZ;C`!y*ih7&&!m%OCX9!XPLT zlq^WkPD>gZBm~L(FZ}2w0cYl*O~RNfVoS%|>ER)Yo~7+xfRt8X(v4pLT#ngRlz4v6 zEQ@)y2)80Ki~T?umA5~W{b@IlJge6b(r^Q9*FJywQ64 zSAfo{j^(cNOiqT7CHL>}}lLnRRR4ojh1Nu%5lZLPv9r zL7O6If@ox3K4GK&p`6qjJ=Lu@AzinFc^^%r_DTT~`jQRS|-0g?!;? zHZq6eF8z#>Y^0;U3fG+1(^{JZtAJTMBx4&Qk!aLm?XBMm8)KwAl4cx1!m7URwxt<^ zcrEYk;8mwdSMNl$n%9B%C{E!m)FB%5Q&U&wMoiWCjCf$I2H!Gmd=ORjWSex%&zGBi zf*r`Zwz^bPTv2&ARRX|ViQfpsx|_1oa|Ke6!~l3q!>&7Bh;@%__jd%}w1U7=RE-E@ zffZ?-me1@f(Jhf$9F6(};~>h{&(CM1(?5fZN8sg~xRqp;{C6C@dj{e;wbZ531o z^HZShlbYUuc1bZTn|wP{U;i57Q{X5F)6`p078wK~S_JqCAr?fxL56Z?!O}2&qws|h z9&tT~n&CA|fbWPq{F%P*(~8GqiDDZEx4|a!*)2@;zNv)B`APvCrI^LOwGtjD7oSxf^U zPIA178h3>-EXSRkt`PdGb97_F1E6vvy(`Pfks1$skxiF`q^0C3NGE(F-*hNGP2gKJ z17z2!8dGPoL6$bgWXxdFSm#$@OfT@vH#JH~TC5OuV)n%-TG-@>Q>s}?fJvRWq6R1~y-yv#_H$yiJia~Tts-Wt57Y(*E|N}zeK0P_mZ>aG+=Uf&GJypk+@Y>W zs1DM=LQzUUd!3e3Tf#ZDT*sI^=gQ+siO9Tj$yFc;HO1HuXd2 z)PUKk%{KP3h=#JoX^8O;_mj9%sK;5Q1%w@>B;aX`8565KHGrZbeR49@z@g@FEH6gt z&--~FPt}4MOD3L%P04bDHE?n638R#+B!S@|@ucGCQUjHIqyQuznl~7-%TPRs)Zbry z&$wQvi58Ku6_DJ&xj1DORH7PA##3N!dA@V4^y`)2os5IX=sRW8a!3#TiLQ?Pi5>9*D$F4j2#Jq8ETIeaIOj*o3i#g#zzG8E5HU4L9p}WuQBv)=&I;!suJ1B_NYD;AG_Ogo_4S6eTg!x;ccSjX7U(9|REqO2hULc}(+G=<7d4K!Hf$=wEzt1|at z4)at-+(l}c?(rlOR$@f3TF?x+n6 z3+KOHBX;TgAZ`Fs9WV=Q3y!2b$dn#xQ+}%1cIr>?4t-W99>gfvItvfTeQ-U%?Md8k z*=zQ<_`nGV-GE>=wso-+9sr5s#`ORp$ih~ar62=M_bfe*N|Ycbnq~cYt6zV4mSv;F zi%XP;Yc{pHN3HzeM=QP&mSFXPa8x@1;awP12rKr9gxr|Q@H^nw{&;073T^)*iRDoW zPzq30_la*|OhJkeI`KICLV=(qVvbHb1IHpn0-WFmHGjhGqkX$HpQ^kuXJwrP%f`}O zYU}J|=Qy$!kX0Yb&5JO=vJ~NGr;yHfoHB(_R>2e#A3hvj7}P;!saNIUA%xC48%#zO zf=uK)2ngz(k2Tmq5WCT68mnH$O5WPoI?kJw2DUu7;a7<{tOlZdAyCQe4qup=B8c}` zyzT#0S!Se}SRPyaD3vn%&vss-3>FHhD^5xnirL*aky`^kGZvts7&_zkxt9IwRb|W^G9D5q3|)2n ztxIsHKfU@XlKlyHOXpG~*-GtM5GR_h02|4ItaN~ipqURqEIVXv8noLZ;QO=S`v*sp zwbNyHPkj)VEMG&)CKjIx8WmYLWwzzb)f_DMF!x^EH$9NjhOX*Z|qGHVkd>cKBocB3u5O&0L?-RTIfIZ??m zz`4FN0SZ#cvMy{>muYoZHYQ?WXr%?9E;Q5z3b01b(64WOs zkmjxRN>OZ9P@$7{9JY04h?16d0@6{LZLm-RKs8M)(#d1CT!`|^gR)llR;r^X=2ZijH z2KxCO`M@2n19y;V5oeplk9baW4`VcIbbm&ic<1t*{^^o6YvT7@`_B)^uOS6M$s55b z&pOaua2dfKxI4q=4xcW_O2aK7%K(O?)7h(Y(;)^%YaETSu(Z36g#^u7tm%mBuT9)V z-=F^+mMXcX)CnaotSA&nKyEbPD;GZi)l)X?M=2-E_Zli}Y|U zHUF_Z@ElS`bFtqPDxV!AT6}n#cf$aS+;xaDPHWx>cTnlElQ9!p6a2yv9TE{gix-8 zHFk!*`?AMT0VoC1(a>4i(rt7h?;Iib2 z=p*K|0X(XLGi(oKWw9>F7?)ZoPq)s@WNXru)fX47Hf%8e1QlLSVj!5i;uZ*{GK|Se zDMRgey|`%TN=a(KrM5Vi&7S;p9;%B03~Q` zc9tR0btszK$sVQ8YfCJi0JVz;vC!A3KP-{335%&(Tb7Elf@swE$%b6ApPqwXI#2av=_2j-sfAFyzHyt2yrB^=j`K9(p> zI?N7`eEKL!j=kfySYz|EyOP3gMxt2O3vi^Y#*pdQ-VPQ-f*5AcYe}}4L49Pe4u0GC z&*nI?|G;KNj!iYa|1OAwv=9NpK;(DGt(Chh)92e207bI>Y5p4V_RSaiY{+p@8FFlr zgM$4Tuf7Ooz|0^73nveVI+5SI-(B1sEy1->LayXdZh@3T)#b|xhEuf?#NgFBM~OxI zLKWNx2w|Xiloix2YVl%K&k?6;L|sGGPwDrdbj=y&7C_b{w=XVH*$VW{eLpe2p^pNo ztk)DtU~4!lh_p20^aAVb=~{??)A>AHczFeS8GdbIi5iZdO7gl+x|36*1SMDI{CR9p z59|^bbz|YOr)_uGobFU;b8`O*m4MLMmpd)gFB=% zqT>Qw^2)k7+oEl)7o#MaC0hyG!)>JLiB^#towmBBBZ87=ef<;6{goWpGoet_PfyYS zBFI^bmfWtt2&XulIDZqW*`_YhY=h)L9|#d7S-E;D_7kMxO4;oDDV%I37it?@|sJxKt3>9gdsgRoDCE_Y1w<#MokjDGl z__0&qeZbVR=Q~jer}=vzYdA20_X>v*01|dTV7{0VVQK(*e&OJA2%EHNk)UfJ0nl6C zpm7cZT z1O;a}uvygai2*0(2~rPib-NdH?4RvWeU};=qf^{*srRlVGU7gyV^&S>1=4`R43lQ~C#f7%a}!!mk60?5RHG zAwX0regdK~CYI(6QG=BBN)|jlTdCE)bN&G4v=Q)?abayH*?zbYC;=riD2X8Cq?C_+ zAPcD+U8Ea!-sl2t&cq^u4vPR(AJe~DE1V&gVaJbC9&AIPi3ZYoV|fG4H~F;PBwQ&@4H|QWaJ=7p8_w*>^0@A4qz7PXAmn2%cCqf{#D|~;Dm^`lvZ|O*DXEgI zV9#H|6E?U5T;WxG`Rb9@Yac-8-ToB&o4eH^wl|!JYWYPE(LEd?R_n^XZjy@c-7pS) zT|e$h^;AlsRfb|DYQ)ORAIqoLC<7)zJK5f9)^eAj*4!JIENukMq$y-JwKuQ1f7O3( z)c)f?1tA*Ptg^pXeWDKJVZeGAn&1tM-w&sjOxFFXyr)w^VH`>tuiJo|7gotCYSB3# zfB3mhIG{33eKDU0r#tj*zyHL$;TF$w*!w}*su8C|pz(|GTtK8V5_sO}HmO87lzZgnfl<2Ui8;zHs8bOYq7h zC<_raTou`uu154$E2Pf8ItPY=+mD)Hr}wC$`UtFBDwG0`rxjTHWI&ny=S%^1l$8Zr7ziqfj%|7?+;8dgK44*HJUQt z%wiAJ9dH8@71C|!vbAr?f=A@EaO!F5$D4yVRq+=rE9v%Nvz+Qgg-h`2EHhRQ`zov? z(|Wzqr6bek+d+&m0c)D|8@QeJs&igvupbc1#NVN~-RuayfWC`<2t=nYkPN+LW$aa0 zCG!T@SWn_|iFZCH7K*f?tiNT;H9%p~g;L}X5t3qgm8@>(d>Pu zJ2w^?A4iT>meBsq$q z|GCzT`Jmp%qA$>5=GT5sjk_A8=P=jl8cLfdGKyh3m^tBbs2ntP8HUW|^rqUN5gd!Z zb^@{oz#(K;!N4SFp%4C3`T5+gzpx9pZPvL4y{*d{_;X_{Y(GQaI{5e{4``@$a?i&a zR6q}awpgH|D7)gI#iD+zeJXr$gckh8&JGl51;3ecq19D(UYT#k!ts_ewKa&}3kCx*L}QOb?+{d}xL zo|{9`ycCC7093<*j|BEUhRr6aq8++*$uZs@L?BZeedyC82$4P^h%XOeHXjA$8LCT| z;w$3H{!6au^@m;w3UWLf(TjPKR_Fk16V-t>kTxE7GV+?DGnbx+x+QZ7)j`QP9x0UsLXYs`D-qzjmC)qJ66+E*LsVftp<8XsIgZ!JN*9c=BNS!%HI+ z?X_e6tUwSrhDV`Os;tS92s9t7sGm~Tz?{6Giv-d}$S1wNodOK;xjyj@s%i8l3lJDE z8R-F7l9;!vbI>UOcIH;g@#SanSiXJe5s-l}R42k--TQA9Y1}ldZf{#xM$>+s$Qn+J zAO@9$#*eVSUyG#xWaXX!tPCLpP*@Ug<*Vu6aa0BRob&NZwwwbZDRwZ#M=6cl; za0krl9r#S6(f?hKX50Wz9%{{5GCy|B7OWCydL8P|P8`4|!JXB(`=B$!b7p1QU=IjE zh-2iEpwrs!;p-+->!%tsMy(n+)sgh5(L%?(@rGo#-Jnqe$DnaT?`>S5M_z*bDag#+ zpcoAeL!>5KX!OdB{;%ceJL6Y*uSu&6itc6uEYPWm0?XmR;3wP=t!kR3h$AF9!|tw<^sH4nC~ zTh!pe%uSK-Oq%j|`z&UM+RuMLp0B<3aXWKhhEEv*t0E`dsKWBU6{BTd^9SwSqxfpc zaw8Uv3YjEjfI<7!S>0sXv?`Bnhvo!M-V5msxJ1ZLF-+g>79W{nkkXWzVXnlBF`~hU zF~&zwD76;eK_DlcMittM*tAk#d4De-m8jnpUqZQAOGmD}1VRMu8!QRd`NA~Qeqki} zu0`Nj@9Si;pp9NaNRgAwUQ~fDaLrI(JGh*Fs0V2}q!pwCs6Wx{ie`XB$X`yUq0N;E-TB%J zf1;`603>5FZ&Xixye%jR%AFE#V=Hk*=lH6!%LVWUoB{w1raQ_wncAkkc8+6{m2;gY z#k~OJDa^?iSR1D6{yn$%wjjbfRBsa6U9-E}A*)u6e!Tg@$nmB#kro;2+6bC#fS9JjW4k|K_%&+l0h1d>**YT$dXb?m zDZQy{(ZGvUdUYB)8*lXV!g-5X5(f|wY!)@`3@V{UwNJaCS6W_x6m})Elx)K;0z9EX zI?6%vP;fp!^)r;tB2t5v8j>1v_i@`gL!ag*6!C=AQMti(GbB(e(^N>Puyiz5qsH-KDS&t@ zk=|!_&nDlj&FKta=5|%wM8P0^U027sqK++8-)>DN>=?9M9yMNVD_i)9Fu(*&#Ay@A z!f?g`_%6M<42p^}rFFrwzgorDbzZ3DV+^CUrDh1e((%tT;<&QZSNi0B6{xYJ;Q+3< zlK>>BLGI-CGdVZf+WJ?EtsLWF*Rakn(9KMHCR1Pu^=D?lmq){OkWaW~g1W{F*%rzs zJbh}*Ex;=f8*nm%=E{a-sjelHA&D$o_?Y!1{9Nz(?nJ#ov>$xp2`HxE!6lV zKpdPIJh$2g`ZfVbCZ-rRH|J7yK)31?POZu{^P&Zj1Bxx;j zLU(s7K!^U?yy=LT!3)r~w?p7%C_>U_pz+3>J?07hh|Q9*)ywldaI6Q2Ar@1=Ixhvv z59-?=Hin}HycVRW&&uUbp?M0VGdQUPkrmTLeYA`xr^8Yn&dt3@PcN#=JU*o7y=LW} zjR(ye84zlp!Eo+r#U4{%_9q!Df&qoP#`}=(ilZ!Iy|x2sL~1(uc(b0Q{`$!fp_p&b zA_n>KR;c@Kh6?`mRe6l2BwHv^xVF@r_2I14vrEu~J?lA0)+n@3)cP_1+(t~E0gwN$Im7^Nz`&InEXfe85*Eb^B~S0BIwFo z0rSmbKQu2oDRl*PmWTgw5>@O6)sXq-F$+Ait7Mr0eG$+BJ(*TARYDZUFdxVwF{jO@ zmXE8WA46+Sguw}C_N)!F{I+xk>Kvp60)4>DPp~?fV~l5z!Cf4&@YIjvD?FZ?cL2&L z>36s3FG1TA4?x6v&we%>=mA(K+#hc&66Dx(bT1?;5KOVJ2qtpVpdAim;KdFWxp@3= z{GE)fRtKj4n%)Y~GISa+H%%`1bp_d<|2b|p?3Q4%c7JCX% zz$W9>$(rA+&9s#Izk z`GJ@ws~pyBI``LUJUB-7s%$pBw~Jj$xL+&(e|q_nrsMpqy=J~4|5ua+8^UfuIivv*xA66b}$Pab2`MP7IQwWQ)eh2QnaqGeOE0>tAoD=_1cE+57z&fzqC!yeY zHR|GscP)Nxp)%XwoSEMySt(}mtKkfzU4lpkS3$LIxzjWq;K?o0MCr=M681K*VK|4x zfkiT)XG_5Wv>2+$HQbP*?sNYF%qGA&yXPSuy7-{itpSD#{rBJ(P6ix#|G9j9IO_Go zfH}R>57U}bGZO%&;grfR++l3K!*3`Sm`1pN$~j|m1)#-CJw%V!8-cLF4dN@dQ|;dL zv0qhveeX869N<{wcemE#6%Y6^PD*9EdU);yWhbf11(2!105MLQ7J}kQsW|7^ ze8|tMkzN&It^5NcMfgoaM6KC+WZd+KI!6oWSKbZRP6clt>vpKJQ;G={GrvZMEnyvzU!~JQf_4HRUkG|a1 z#msCfwIInA%Rn{P9?oAdFBZ=vLCta#+F5Sk(mo|CQzhilp=8RXoUi@n=9+<$(wUa& z%@%Tdpz$3Ji6APX7zbTmYg17fH~KTESWsIVIgm9rlgtghIVc)99c2YMBBs~Hwsz<9 z*a)Xo-Ln2%KO@46;pPz|VbE%|)S+-z8}vCN7Sk9>>s6o*l zV(s;Qb5es$i)ncboOF92jD%{;6CHBG-3lBpga#h%DY=pi_WkYCs5-X zr0P&aU!10<+N~_qJEv^*o`Tb5D6q@ihk%IjWk3)8K4HB4|0!vAk2jVR0n8#U8^A<` zsOU2N!LQPk(mC_`@;o;SQs&!ztsqYZ>jSNYS~|w~8(ONZITm8OE(qMTdIps_D^|>W z47iFoT2Ort$oF0+?;d!ptHts5>tRqDb*X$1iq;pg@IP0x)dy7l+K;u`h1(bQsSPY* z*g=$q8dbc&Q>JP>LljJ{d@f2FCd8EmFFTaZHi0Q^{FYU$nlc(>tptV_drB0YoL~2IS;r%)fEuRm>Yp6a| zJHA+{O`b0&{uypIv%4FViYCjPqI%Xp+dY?#!Yt09nTCxQjbuC!R+i0#8qUUTBGK%H zaP}7i*e6p+!38AszRZ`iS0yfPzOg)3;JDZqW%IN7M)ys7=na^CuxFZR|BbtQy>y=U zQ4VmAYhAct1k{4CkXuj?_3+%sW0fKlbg$BY*{{c&Ehz$q8pj|a=zk6ur?P@sfvVHh z3KWU?E+Vm3Z6qxzAPll`>)<@K&tW6gGqB|Q5$=yYR3Cp^GUo1Cl?l>W{kbA$dO>H5 zuxH6JyjRQRyH{h~^Zgs_&_!<08G>XcXzQVoZ2?ckS7 ze;M<0!igsY9R(x6JH%j0CG(}MnuW=p=>ctaA>oC`WR=aD*Z5MR`0601ctfI2xJb~% zJ3M(HAyBs2%CAGdv|n{V0_G#)*KVQh&=Zzg2?sCbS89s?g3`7Z5O`W!2Q>Ay?L?0gi&f(YoIs)hKtZ91$=0uuZ+%iv5G1IQXPF zWVx*?=wes!9Dc2ijo+qSVr9 zHCyA!({<&??JBobF`k9aHewio%rvoZe^$PAd`pKlX7E)00Gy#8tc}`$VHoMoQU9sl zt*m|lxi)BIhkwVRr^xEcaO3M%uc{*yiGt1m*E>+vRoR}E8>D6Y6&?`VV4!}4AIclw zzki3qX_rXA;IqYfB71(Th)NcrI5SSp8s+g4f#OzyO$*KloOzNXWtuXIEEgQSUeD zB~xF$n{yoNta}IQ<9MH?!E-`a{R%R=yQt5!g0vbgB9bd~T1Q7`ymY?P z63*sAPmK0ccR0Onv+!Q9zOyqSKR+K{7-0WB*I9M=Rbn>C)_pHyJr0ZdznL9rmOBZ@ zoX^J#_+L&4o@)g_sKWnjr$gY(@t}fLMfcp~5&JS$(3Q{z2Zjqed@aVymdEv|TEXL$ z1KP$=9<)$uzxH9PsG6dHltH!Td^<%H+AVd&{OxPCmPcpC+6q3h|2_Z!A>0S{Sq+O2 zJvTR3(7rTT0B4lP13vI6k7nF}vey&9#X;X<5T3?MrfW6WE7RVr<>rPRnYs06TU}Dq z;W)R2<4AfzE!afFE)%mq@Lp~11$_%W;dLMH33#K0%qSlJ3c_sL*58lPEZBZBugBoE z0Lq;=?5sl;``WKpilY1MUU&;$S8Ek6tejE&6ZoX@dO`>N0hu-4b(&FdObAvBDnkiy zQmHG!5PE!}1nhfw^N)Qf(ELNXrs*Xh2u zAl1jgTPDZ2l;gt0kN7nq00pGN;o$HZCzdN|3T^>m;{W|M zA}^j<2G26VA7caKyuKbv+RqU>F_;+M55`#)0_V_Yn{BjLm*)-3LssR37A8h>>a?C7 zy?g?~qi*Hjk;?FvhdAHw&faX;AYsSRmN$#vo690$I)Zu|WgfP9mTM-*`G}|h5PaR*rgjjl;Ic>2(93pM zF{u27kl(-&1-u97tD}&ALN*w+Me0tIH$Z0}iEG;z@RLVttIKtz#P@%1R$ZC+@QVV> z!P^K*7Jh~%UE$=N1c#TxBX1G$u0Dol=nX-kzdzQq7F;d>n+MA_kd9?8aV4YOwE*kBoqa&{z+#S{k6#6pl+$ zYfFjkZ?CV%0);va1^h+M1fQl$XyC`7IlwYtC<*A-+G7Yb%0QiLK0g$V1IFske`?8RH}T2*M)_AxyTd{Y4RrHarfe0$_2Vm*qS$sluy9gf>*UL{9dtSTG{ z51C2i4blr2)AX8n$0LPL0BVl{XvcQGL3@C~hW0%4Ab6dLVSiGT^;Z z;O+;^eA7W;Pzql*9nXTE?Xuef99EY(&Xyy7{K11K_h^R% z4XNM+qm|sv!Tif4o)*{qHYnz;HIJeZg!$6Gp3~uCt1rvB6riDy`A?j%!z~`T*B^sG4;b^~>phTm1OM_K zeFNTAHWiWiwpz8Z5j`~y78jqw`SVrc!^6Ux%)f*}M(U?|t-IosR)_(|0z_+{OOiC# zIM~2K09c9yiu8g-ed11A5pcq(CUFq8tyKYz8=9I-)OH+)W0e1(6?_USlmFc%Rpk1| z?MZNyr5l1!^)i4U%quxP{RpCcC|cLQp|70D0_SR>qKFon>3sBAkbHJtS0YLC%g<6#l{#wssf$VsW2lQ7z z4Gmg}M9E!A9InymtA?%>F$coSLcVq4c*B;+UFRkz)U9TlW!nM~H-oK{J%9O86 z!NhaY=fNipvTwBAzBwi4-wV=Jn}mss|pW(^j!J~Evj`FKB`DEaD_|nxckN$whCdYn* zp0WrO+B`T^u6+Dw{2v~fTb1HO4aCaCh%1x8_51$fmHpC*URAL>>vxpUq5T3>@Bq&# ztC;^d58t)VBDM|azYm`c5#`XPXp8CF+i0-Tj3wLFP(9QEOM=aV{zQCysa;jwH#N=T=FH&ZVZ5AWZ1p6P@y5O3=r2G5kq+Ynsi_m+`{QG>)t^5(J#PE zmFL%B4~i|X#UwzZ$5kLO$-Us@c(NN{FTB<&Bm%^R-3Hte^hhY3`IYpD;^B=?6L)#z zI6)Pj45bqu0h5n(A}eBv{y$!R6OB4xfiys2H{en_%eiw*y&nzIs8;>U5HYph_~Kj^cSW7eg_0n zaC01LzMh7jv1L}dwrkp((F<1 zkht~fXfHjU;>T$HXkQyGVe>mdE*Jo&kPz4fan8HyNC8N$fA)dw!#MKmB1o0DK>$*2 z_XB!*hz&<-{zgmHk7TAe&_F!jW+F0E50XmrH+l-isUUB(r*d&&Mo>9}iK6BA2AK%R)p7@`Kb{pd5G&^Wj$06MxZ!ap zc(MYzWerM+7J*qsuLn2p!Dn}6C$57?q&oD1QltRM7&j_Ixb)uDUb$?bIol{fha1Eg z8>n8r8QumXCQBd{5zcC|eZirzEhuSg{K#G=vgMF=K<;FBPK5h z<>T@H)!x;|L|w-5pP|#r#?TZ{@UFOqXo$#Qf)ErL{l;#2Dc^NPArl7#&xCji8*W>_sy*}T&MQgGC$ZB)D=P$!Fs#~N-p*<$UF*- zU5YJu1Qu+1oH7&4|9W#b1#FP(Zf3=FO4~oEm_u*NK!HL(kKkKSqB)OLIt*M85~AzR zfNmySs6Ek>fAIfHtsv}?pnZ~h*VaMZ%D{Xf<__9%$R6)%80}K;m~+K=P4b%=)%T#h z%@CtOntG^e!aB%6O?3EH8y5@LK}k{q%aQ&^IPefS?6p&9B_lta(fo9BwFv0ZH=<>a zUod{2qPa>^fAPFIn8Orq-!y^ycuQd9E!IBzDEi?LaA3(`;O78te)-+>{R{4qAqWni z>i{Fpo}Q&k=*~N2Wqo3W_IEc;RI{MQ*W7FGc69hg=Q41M_(0&VbGpIy;xOveBulJ` zpC6E!W{|wDbS17|D>6f9M7Ie8XX9&sXId=5-xua*uo3(FstQEes=cMyfl!JcG%;XG z-odD5{@7L8WI`t7wyg5N1uZioHL3OAv&M`B?){?B$U%RWEZV!lZJf*ojrAPG9l8%TQ zc_%{AlbBBR;Ov`0a#sV42Q?R78M-VR)t9QZZ()78YcbGV#fIZ$R?LBzBJ-Gk&jeO|u zs$}}zGpQ_q6GU z2NsA7#$Cq;BLwnb>3&nTbq!7uy8RfeLTBSaoE|80vPD#EEjg@MkLN^TQvopj;c$3O zsKta@a10h5e;$ABGAbuZPra9jW{sud4x}8M&&y5~vk}Q2_X}@1)3s>$7O6!pFeBj5 zU5$Dcw;~$ z$ZK?C7zhnzj}M(7d!z?J2TsB0XMO`=igrSyJL`B?*PpE20FR}qwW4R*Pz0KAh zQSTPKqzAC^7)Okva5>R-m7!(|Gu<39JaJ$0c4UUbQRyuR>-+){v!t#uoD6Ij1X8uU zHAo@f0#5{h!lhTKh=WQ$t5yHGI*SxyL_{*FCY`R&aJJ*=A6A_cD5qNrwuRJXY>{Sz zbHvn)0Z4SvdmSrxT?T>#0M>=qp diff --git a/dev/_downloads/d1eadb36634e8e0276f3d1752e83893e/matrices-14.pdf b/dev/_downloads/d1eadb36634e8e0276f3d1752e83893e/matrices-14.pdf index 9d7f512fae7cc5cfb96411e333b5114628bf5282..e892c59137219fc6ffd2d1a206bb5d16a7ec42fa 100644 GIT binary patch delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiY=*{0#)ih*m6chXm;tbl2?hWF delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiYzCIb=0@h*m6chXm;tdD2^9bU diff --git a/dev/_downloads/d2c03725fdbe7104e13f46e3798a03e1/beam-7.pdf b/dev/_downloads/d2c03725fdbe7104e13f46e3798a03e1/beam-7.pdf index 4693377af1a368f0a8426f690515e871710079c1..178de4c2234f7f4a12be461fcd4bc568e0ff9567 100644 GIT binary patch delta 21 dcmZ45%eb_calFEi97KY=*{0rUpja<)v9ZF#!OY?FiKX delta 30 mcmbQZM_}R}frb{w7N!>FEi97KYzCIbmPQ8K<)v9ZF#!OZQwZMx diff --git a/dev/_downloads/dac00acb10450bde21ecfc4fd9c34817/matrices-1.pdf b/dev/_downloads/dac00acb10450bde21ecfc4fd9c34817/matrices-1.pdf index 349ee94add757bbfc7a74868ad3f22bf8b5f5bb4..ed4c08a1d4cce9d5508b9c8479bb70d213f54707 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0M#h%g#S>Yim;tAu2-^Sv delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIbW~N5l#S>Yim;tBc2;cw! diff --git a/dev/_downloads/db76a3db1d29ef7f72c47b067c360357/plotting-24.hires.png b/dev/_downloads/db76a3db1d29ef7f72c47b067c360357/plotting-24.hires.png index d4f62386c8325f45bb1f2c672b34e398ba66236d..108532292590e042f5292e74a30ac401bf44b2c1 100644 GIT binary patch literal 26952 zcmeFZcUY6@zBc*-Dvlz|jH3=JFpiW#nsn)L91GGMk&d830HtYY(&KWJainM>gdS`l zT{=h!7Qhgi^bSe_QbX^M^Lv=J*4bx&`+V0q|9$(qHrKUQMo8Yg@ALfXec!+5!3D#! zdv+b%g<;qp-E+TP#IWt~pFEX2cfiYy-d10DQS&@)?rH4q;OTRffX583dfs$#_jI{_ z?I&+M!Q;BSo1(0mtb+7UPM)4OJ=EpoT>t$BS$Be?+z~^bF1W}yH_uskV3_bb^gk}Q zCNFIab1KmN?c}A~@e_T%(KbV$wWs|_=PrJy^m~D*_jh`cX^*69Iu{+I=rKH3l2sD#J3wA4 zf2`K%%l2*XJ$UfYp+h`y6IkoTkhHD;!0OL(?L@y(PR6#u3-O>a#tpByFiDIHUX!YS zAi@iF!EP50y}pv){u6p_jpqIqz24COKkDP-m%QMnEUTYL8qYTC$%*L>$GKN{jxjHN zizR6t=YjuExIOxk(p>7po}cRT_xo-qhTHgW`K14?x9NXw{%`*}R>;|0OL_YA>S~8; zQJ<-oC^*z_;7}Ky@(SPnNg~1XVw?OweGYdz*&r?|!KYu%I9Z=wHrHU~br{}#9=-c< zi=l?hQm=>6>f&VF$-6sDgm^Jx>_u?oOM@#T)W(y%LQh21=IRt%N<2pX+RKGqFavKU z?wTm~YL2Xirn;|7Rd@y81pupi#NQnk=m4$NXcj;j67br9g~uI+;z| z^jqw-ix8#f)CkA<4#%W?`3)k%n# z;!i=xq|7_g-eY8M`Cf zR-wbXehuP#fXY_jEM4rj?=2Q&Lu#V`epc-64rSZ$2YYpTD^|x|SQQQXXFokfK5~k5 z`ar@=&|D+cCI9z17KZ(F-O0tpB|{y;ot5&fYlJ#^#r~0J4@nh)p9vS z&=vcuvlOPo@Mnt!bJkLHXm5AWoArWc19voPsag=|!;BqRQ&chUPgs+iOrHL1gN8_u zjxV9aY@o$RV$U9tzM`i`EN*{}s_*Fc8YN{Ew5RBBKJ2A)HjkC&$XmGN%#Nu0Y);Q~ zIT{HE=KB&LWqL#6Px9`+{X8J>%FD>}ca~nt1$xq|s|hP^v>=h-Fpdm%Jy1LKk*mx4 zayc)%qSX4#I&F=%=GMib$(>4cmX$idgDng}c1|+z-&kNi4bfih+=t_o78zT&`}Xpr{(kT3=igX5#3IG z$#Cq&bum_dK#dT^C8z4_lEu|~5m6eyz{-3hAu6Cb{i#N_RJzNZM#z5q;)go}Yc_fk zJlOIzSYKSa_r?N!V<~t(r^Qf;GAT<7SgFvXFbD5iX^jUOMZWEDG5@FugZKM)I^?2!ETsv+Pp8zk62c)SKR0HA24gpU%$JN@d#@ zb~!M(cS}ENGqsYryJJu7SbBE93)_9imAP1z%)0OOYd0h~i$(VRzB&P$!*S&82QtJD zVNDfK@emypeP=@+dWq7LPSRifu3O~xQreeY&J^J+-@MlrF2u;7satx~D=QM19~*n! zOD78%Y9sOFhWcrdU%5I7;zowahB7_bw8Vgoah6RaINn|f@r^Z!Qz1dcoL-NPCAKzp zL5qU%UqA6ePY0RBL%ZWPK?A8=xb*V zMY7LE7#gaHS>PjIoQ<%bsj^Z!hBfg=LyfHTAk~r~1fO->22L z9}Hmo4=}uYTq*S`J<>uN-s_!nLp2eNH_|hsBsM+vjQ;uE(cIx!XO-(a6fvt5A@6hj ze(4zs>yg=_{*xxc1D-7kQv0#Nhp619_HZ_AXQ$ue*EW{Owj0L;PrR`=)1j<9PLtsRniG?i*r5C^)Vyv#I0+?(RSgYbRXJUpSAyFfx+tP zuFArz@BUye(Kypq|lzU`9)}} zTX=pVq{`X$LN%)zxJH)Un;iJ{)6uTLB>|eP|0FZUkrcdN6+XFpmsn?|5xYS^;y<K#{yFE>P0)8qJ(=`p%jjf}Bv20f z+Ls*WWEPRWJ4!meUvkZJBHDA@)Wi}?QobdC!+wg;isBQF*IcnzV3&z#Z!XcKzO}4< zAdwgyxYVbrJNsT_^SGJyttx5SnNz3U>$As&i3Z8Z_L6{k}e}TN^N#(7%Yy z-ue8V5vWeR{pJ1k)2j<>PHzRUd=ZF=PL6KHM|{UpnV&<*yJde_`c98T-H^8M?z)jz za5e%`PrJEYSlME?^JsU0^Cp|KDd(J3GCbm!8B?;Y*p?Qg`vY^ zHTx14sp^1{O7H7#7YxS$YsG0CzkZQ0{T9ELmJVU+JXceuRc?=4iK3{K7r zRjeJ7%D7T!Pc)}-UHx7i_V50%-&|p^ z-Uct9die<>I$YWD6V_VUno9rriC%q3B0)nUyNq<$-(~i>NF>{TF+=@`$nBvp)!9k+ zV1K_ApE~)P{BtY3oJ{8q0kb_7qsjKOOy(?uys>1o-=;Vqc%hB{mz21WhH2bBZ23za zwvDLbQWvd29?50YzAS$zOfY>&o3dgpmXvab5lsgT(dK4w_rek}A)m zn1a@e^t?uK=-OR!PD}D}=FE68r@N5tnyU5VqeBmx6b8>cwC~QJeOqQk6);*J=6>Ls!P&>Xps_6IRDV$0;V7pw3x?yAWxpr5Q`2bUb< z=X#Dm&t;RP%ckG?E_OM_Dc$9MBzLX$3G>x+Qj4J;1pbxo4pP;Ay&e1+>Vnv`MSu%N zG@WwP(E}T@uU94;sOT0BRIKk!67w3nI2CS5lW{oWj(3SmjW$LXrziZ8mQu>JhKsU{}PI&0p-YaV;RkOg}n8PxLoE zxEotWF8itzjOd|URHU+mk>ML}gLW%90621I#g+DL|Ed0ZcfNf}0x8bzytu)6bst%& zD7n|T<{Z1WQ7kFY%tV1% ziR)YC4pEQ#Na@^j&pdVzZ=l?^uXre&Swu5%D_6Gg>6`6LO%b1~Gj^37tLMX6HZRZ6 zh5esQ#<|Nb@%6f@F74b#JcfeRy#y~)3;8_f4*QV=^2xhthQIkg#aunBtupYOhZufgoRhz4G*sTKTh6-3df*9EhXb% z0B3_Wv$3eR-?j{*Op`FWyZVW-bh0hyO~7FJ>ey`OEQ4}r=#-uU&!e>R0hbA6^(uP&Cw?03kn>&ste{x+s|Z$~ZC6963taw8;L{!?67)9*mo;52 z+rHsS@&Y`eGUfJoCUdcetTv)wu~N^Za->z0MYJ_z{HM}dxbk&88ZU>xtr4*erw^<< zsGS)I@>g@Cvg_Y9|Kc{U>66!WP zXlaH!uuL*UqRkqp$t-RWzBbusmy?{c4gBU`sqe!$>1QJdq5aO;gt~rzHi3^9(?(b- zhgCd8>hqDKkf4)+&eBAJdob^?hrXHvZNXISzKD-?+XF1gYZUPePJ8+TRlBZ+Fk_ub z3EszgY&m|gThSJA?upU`mlRyg3Co}HZG%_eqX;r)50x-1+hji^8rf3OrCwtXCM<qvjjdY?J2e`=`yM=E7UBY(95YIL6a<7@?z`~rbN+`m8@B< z5tgdiga~5C1^6!dg0Pt(GW6yP?RrtR+Rzd(M|84bQR^p1bmVH*Srj?D%BH7yeT=yH z?w%o*zk8{V67TCkm@1(^4T(CfGaQ!<7tepvW@Z#+{!DtO!tI-cj>~kT;Mk1(i|8p< zpgDO}zFSV3HLzPw^!LuB)N)uvS4AG%B;EhaG4wH zBlPT`Na!sIE38@_tk(SI3JdSD+?L(T&rMtf)4O1$CwF;jC4a7g4n3<>wzb#KnB~Jr zGg-U$4H}f3YojmI0YpWV7%sDH&XCaKs#_CIk8>A4dKP8l0G5=A1W!`IO08M#kMab2 zK}B_MX}gaa>`SnWu~FRL61#6Nb}_+%*Z~p{9+|L_K^r9gGa8uo=@5Q=#_iQn1@C|n z4ZJj@zcexzu4U%&PNHQoD~ceH0(Js5Uddd;3q4AjF;|nR=jg@iaOy@zs2IcnK`ShY zA2N2nZ%X{dsn1GVxCi}#1X`BDu@8G0=1`XkS{bUn9QzHMuJTG#2b9HTuej)``=TRM z>O`(y?t6YHjV~qaA{M$aWEjtWf@P(x<7bzL5cZQL85YIw2k z!_e_HiT4ro6t3X9OgFij4g*IJDz7W((YyCsVj=h$E^c->j(&$%Txa=YbAj{hVvlZP zqDcyOQkLJMw4Fgm7JdTqfx><+oYgb1&Uy&@%(Vfd`}_vp-KhZsnO4nB7rYd(v9za8 zLzM-zE>$N!J;gAeZ#o70LyUn6AgL`*Q>|pSmax+HLYGdLpvYlPx+0-EWbsJ((ON0S zkK3`#1lTas$(0fEP&lNtjJjgzBbgF9sbI*HZAL*CtDmuhX`u!+LT1&+FsFKT6Cn(9 zVA3VX&%=)?%6j+8$9OcP?d59f51e$yTdzXp0$A1N1|w}AYqE@ihfMcsGoiobr5ws; zm!!-J5Zmn<)EJ$u1OsJmDLVprqqdXTRFS7;W$c8dN2oWq_PIQ#z{HZKu_3LbY+P~ zR&4lX$t>163#_R!v|iavFt6dn^U$jinis2;Fee%G-Mg~OqpSnHa(fB%f9w{A1PLAy ztqiZ#uUS!2cHPd|CJ8&ST@bh;{g*%IHnWrC#C0~VD+Jtz%my1qw8(2v$Mda?8Zn~1 zTYtxg@(|OuY%lb1jJ4l&!bA?8vleWU!bNO!hr0V^u%<<2itwrx0R$S_35e5PCF}!xRb@-QKC^!yMpAA+ z_r@n1RYjpweT>ec58vaZ536RuUTy_O%Q{<*rNc?S!_mC~9?eDWC|Tg4fT^yy!^1FN z?w}!eT?C2`_ptc$eWp?HF^blnLs6a+=CJNg7D5_P@~_RZ6~y~*obrTWWM!pfL_E&rqSry}Rl9iH6Zu<{ z1@+w9lJKxXPNtAwEGB*EVq|<&DqJIMkWpC{bva1c4Oia5^94@71^d0A z3aKTwb^0?Z=tB;ZtO>dZM1cKicU|maMEia`g69*`E`u*?4Fj(bpX(Wj5|FiBv&s}7Pd_fIY|+xmU#eAN|fxs2~97T|`k?*I?L5n1Euwg&1xSrAV0T@y4Y@(Xuo7KY;( z(YrA!1#Z95we=O#e?U*AOSEKT(LPKWt@y(0>VtTfK6|o4d-y>UFp4ewhsw}e5)EE8 zRsb`lqDZ|H8+&;+A|kv1$_VtPWAHFkhJkA2p(i3ix8d=U`uTOrLQ7QpE_r?b_n-47 z{@6ozvnj34>1Jc!Db(xq!t_N+*9i&3`vH(0(v3e~2% zzm%N?|8PZd$f7yhmhgTL9o$V%)&dO8NhHcTH?&-}_d@kGEP5a8pF=H_h0i0z<;tJL z`)B!cxNv$J>(dH5X!92Z$tecu;5x4N;8HOFX47*SQU2f7tJ=0*hb}1Ay+UEXT&as- z9M=^Gu-Rq(q3TFMUR?!GC&1s@hPjA~H|muc=J8K*e0z&;%)w@PqAZu$11+>;{9}YX zd0j&F6gXYrcvoI1eQlBg1%(1<9hq){BDlZc8+HXV(H||uN?SHbc+1Quts;c+`q0@z zF`RoG0IfgK_9(H-=)-Yl3EbGSd+>(yEWkZ`jV>i@BeomDQl)hJvzd=hL2}=XIeD!v z8C9&a6inIWKJY9~^#Lz<2KR;u#c6T^fMTHk`5l-irVX$7jG)aG1#g~83FtqjA3(2% zARaMF1}yRMqp+ye6YRk3F;Ohv6c$taS&lq_f(W$WY>;i&pMmjJhOU1(fUiqD{xtM+ zSlHHsp-ahYOgw_hVk^UM!=eSHGA>k433u#lx(L{e)Xd80N$Fl&TFpcBIqSd6b z%&Vtfgt8j7%v^;r%L8CUE#<2>N<6upx zTbT#pi7AQa4<00SIi$lEO`is!N3ezJmlisMC1Kls0t^lk2sAC=xmfJG9fzLeY<$?8 zZpe*uhCe%v1aa0-2=Z#z4OdGB*Tos17>-sb9PqIf9OrTxfQUBPE9fX%?k{2Gei@t~ zNfKZq!6E3MV0AAUaP4dg-UDUh8iq|q=n=WPbAEqL>T=9h-wq+! z)ck4aO3)~8QxKFAO$~q>LCtyztnt;m?FXKCaADoBUpNg#KTiUr&j%9XdG%XY6+`Q| z)~J>ezZ*b)@T2ah!dj&AB~$2k{pEXH@DuD$TT5^fEdk_W1^aVtk{I#W9>I$Z-(XHU z=vF^K(F6z-L(bN18$Xt>^ZZPt#~nwi%m|>z0=sZT?=Mh|$-eo;!bP6K!EpX<&(EqI zDE|74;D+JWnh*(?A0N16usA>)`vJp68mddKjG2+++)*Tvsp5kR4E|#`N!~8a5IPER zyXq$%+psYsxFLSX;ef8vW1USCKx?w6-8wJ+5d03A%{SQEbFVi#jsgT@fqBF7wn8v#O-RtN0Z_g5irz!mGywswM6`*I&J@1R5Zii!OGAb{zn~P>qh|gpPw-SqjO@M2|G6O1J)Yi54ZAB zrbrZ8hg?<^a?b8&ecpP0^XE|SA&My>r?}zp`5rkts9qhFJv4V0`K7Ov=tU=P$Iw#%^Yg&W?_XacG z1FGz;N5CTs*oBRq`d{xo|JG738M*Z?EGc{k-!CHvQ5H_)$0`rZwOi4FKjm!tpkx6H zss6REG~P=&|D+;L$y|H!}g5WONPB<_%RjS$qX zCMg&;=JK_P(7=W3c?sd^{nQ&NK`nK)@eH(?UY_k1EbF1HQrOJO1JG|f4GqW1bp_0& z8N(m*SB6>EJj6nXN$9%&aR)H$_$ec;NX@) zS$JNhzZhA8|Ld7*Rxdmyl=SF}{-00z|4nb2#NDX1WDUSEb$+r(weO9WUWBj~l<-m` z%R>>3pw}|?(gf+#3*$BrQFX_qXIH5Axa1l115q>@Q4WZE3Gk;LAl4f0^=Paw=&*?s z1Nh}H(D3o`QL-pd zy5~8Y8#;xJ+G`W!mlPXyUBXyu%J9b0fcvLVxc3M^xtwkZse67T8)?UgY)*#=9>0Ry z1TOWGQ0i%GXhK_xd^)d&81<%{3gPc^E1e{XA`PEg`9gctpF93ud*c43N*)2=3ETBR zVRk0;$H$STmXe501`XULuY3ou8X+H1-8Ww2QSgUR<0UKS%z|Y10bp+G6L(`oKcp0r zaRZGU1LSehI-He8i)#|4|X?@Cv#*hnMVYs{*O*T2}qCgfms9grT7uE7#tm|xC=GttgR6Ow+2vp?& z&!X)yAP{;;)$M*GXKjF!I2y>c+409WtivBxcqPvzB zzpl(uXqqiLK6$fqP+14HH7d6LrWe+z<@dzn+Yo*y?S`W3vOpwYmSF%eAw{L2ii{$#ZNJU8y^*1zOMo z{rD5|y1g2LP+MkHIfC&841#*Iu6(IK&VQ;z0?A>8Zx7x=38EoI!ouwNGfnkYNId6%`f#R$2Rvl&=nZcMvdlXMnU5`-}Sh##x(d?8ZaxW%3(2oN}34C?3@wOSf+`F{@7lk&lU~g_uW! znj;B%jwyN&^dsn-K^R*1_0#jY4%((NL^0=2!4Vb(t7GYq`X9#tp%1QKkpb7C77u{< zAlW?|l(aJY1VGbE0P>;f3-YqE&DC*`#p;8zs(VjFy9W#%TIp&Gib5(02ra)=M~G0J zv&&U@fl6t&4c-`K*^)BKW@}3p+O0ewgr=bAG@eyTc=wIOrDb;|50x%^@@UWd`+L?t z1R|+1x{xk3oF0w|UhUT(IH3Xyf+X&t)s;KjlN%?jAg;{Sy9X&=F7-}eb#z@%Ntk`N zTaNkqJwF3axg2$hU+slpvr0nH#wtEcx&0%=GDXj?O)j*J#nAy8=j@`|%!j>m5G=)X zk(jtnrN_nOx9wQc8AwRDhie(9k2_Qe1Wn&P?A>{Fi!7W_j%!IxNsL7@7ZCEesdQes z%O|KHI-Zed*bnYz4I%@zwTV2kC=ir%h?T~-EFmjHKF9K}gZmnh%D|lWNyI?kQ+!Rf zbRyR!uU^G>u3i;I=!i*(P*fzKXyNo>py#-NHA@4+xsVfA!sAK?=P2F2-~1<74AV0a z!k4|C#1ukoA3;WhZVD|m66B6FB;%3jZQEd7DGil-4T6I7I)Fh~I z(JEdYBTPX#@&d|@yM~(bzQDQ^_CN)K<@18ryg|!QGY8cK!n<&mk>lAk?LB+;w9xpq z=9|)vo=ngGd>>$TvxH}WXghkWj;1)mVlha1vN4duv|!H-KysW*7ms7YoJBp%Tcm}5 zGuiLas6}}%pcAmV1ToIq)W(-}ICy;qa)i$@{T+3oNLmsC00r8*`LQ;s%WpjCAm(_i z9k^;ABINy1$fx(ygdh;<@prL$N6y9)=cD77p7m;~cr)}A({~>1m2l{|?31a!e^PlPf*tY+dI-oMe;-6xt z2rX@po@=f!$-c9636IT{5yyXvpAt089(}+33_yv&uSs{INNU9Q z`;KI)?>bJd4m(7FQ0F<`E`zENl(HboA4L)_S?Bv0{y=?jeLw8`y|t-Qxs(KN%Qv2*!1`$B zj-9B~AM46<30NUbR&mFJ2CMyCXHwI~<-^^yN0qPxa+VCSyHC?#S&lIqP#sQIHGQ!m}dH8c?Jx zU+k6wr5|n;`eV@&CP|L~a|CAbKSrCN+nXvGNklat)FUvYp!@=RL4f#$mPOHPtQDfb z2iDo9`-lA}azG`x(OmAoWE4;V{eBhi|a2V zwg2mys?xC(1YfyO^QFKwsLSh`b9Hl%xd(3Vc4f=~%W;=q{TE#VB)~VJR0kl<2@;?x zgQ$>z>=>*zTb(~&5(K94J~nNV4jGP(i55XCEZ9J;g-cb}lLAY|($bUN*$^qI#YQ3g zLb-j=RO;FUZ!Dm30GaRhI9-FF)-dlnB$F=#c4vjG0|ibCsJYU@PeJ-gZH0O<4q~jR zE}>e`5zuPceG>mDw4+=GwX6YPBWdJ-LX^FAwY`S9n>4k}_vKp^xlvE7v3WQfSBDxj z*e;9KxR$jm83wUIWm>CWnXBV*^I~^6KWYcu1}#x6l)^_P;&1-ib_?|ck=7q8MN@!W3>)7 z<)bWS7p~^8x>PUUFI#c@%hK(p{KX!38k*v;a4l$)UO$-!U-aOcz2d+PFP#FKpE17_(Z;6`Lo zo%PQGj<@MLP3obC)f7hHuGPK9p1>0+LS!{L`)v3J;-zZ?flKvhu~20I9g9cXEuzCT zJD8)Pv-&AQ0blzB$`s~5cFTU8$ZNFml6F!RH;7dV^mj1byFRF0hVot>o;$W5>VjE@ z?WTe*=+@?jLlqldo%n9rLL79ZXhbM1EUXJM60kZ96QKv*IIfQ=H=LZ7-`T?K$!3ks z63qQDUSE9=`jZ+od^6hg*7nr$&o+LNg4zMqYf2rBb19H5igG`lIfRGeSC<6KSRJVS z^q$vbx7X?-lTOz0;0Wyhb{P^_t4j&i4i6Mh@ay z)W%*t2c9v)@#($&u@%3FE2-A+mKlRmjREn1BnleCK2+>pI<&L9*u+#9y8Vouy_V1` zNa`%V6#$v_l9;4o&=PFjU&bfbTEM+WdlWq^*dHG3CD-+`-r*LIV$J3C+a11>1s&+I zP%(gldE9!Sch}2!=ZxI*WSUaG9-0;k*IxZ9N*_(3YH#d6+|;WbsCJ^eJlTBvO$hUx zk4s4Plz98g15}Y%IKRe>G?`LZqu1G*(^M1t231i4>nhvid74GGFffhtoe=x&n_5aD^;9^9@x zF#YABoC9=V46yuYD23yF`hEW;yK}mrHiA_YLx-nEmN067CN&EFIZ!@z^5JfF8q20n!d2NlG>K22KqC@dEmknOKdZU-hgh485MR`76`>DwxouB|z zU24Kem2NHHv&q7qtS^@;>sAL9XIhMO5@d>cXBC%pzWfPQtPZIBK{Td{$YD|FbSa~> zw@9xx2Q65?miE(Y=^V$}2H4UR+bE7MbfEHq{snEO&WqNSBXiY<+?hQCn~U>Os4tI3 zlWY5cE|!_5hwfLtIamo@L&Nm=T|Hhhfb#q?o6D7Vc+z+CXZ8Xc!H|-y{eX{^gI4)|!Np*KE8 z`>muA3@UGDxw#<#bruR8x+M3&ajTU%Dkom{@|*mCZwKvG7se?_1P#o`*CwO*?O=-% zhBTwED9b|1%sj2gO?91R(z`rc3_Os2P*NwIwz-fUx1d!MDmk+Mp^RyRGKh`z8!@LL zQyVqt7CnSX&FsAZ7QMaemEu`4Alx{}WYE{os|vM2&Jl1|>$&OKMj8S5?afOoZsvI7}1 zbPBCkRBk)&9+dO}ZX(jnWKpQo-p#Lt)qjMrI5fN6>EwT|#Zz=Ds`gvy4@^Nho&`mL zr)oW~&}#e~S@^TbnvNJI%dzVinOHHc}KUyT}HFI=Y-q;8HA~L+nWQVfX6- zI9&}iu+2X7OMvC?3K#Y5f$xaLvP5><~Od2C3xjUC)0}$!+vsOSn z$^zG%v;*i=Q}ZLEy(Lg*SgGM9wPXJ=J(1O)cuq5sO6~4pm*&`H-Aah9s0S^Q+ z)PPoe4&Z7GD0Tpl+gxef0+{JK9E*k{Pl*5gBVgA6trvSr6%79p(# z7`{*b>`0G$AcP*_$67(um6SXjQ}aL*JMOW%B=@i1RjYf0B<1`tRR_#+>tpmV)hLfY zY|3lZfb7KYyFxq|7rbd-7tNHiO+}AzFc6f$)?7qCUuL#{3Qsb{ECH4_m@wf9)Y&2esXFbR-khASG5D3-aY@mI|)#n?za&2oqqcQv>+{5 zJyb$&fj^%t}Wrh zCPBfQBm`L*bh*ILZcJp{Mk zb%Q!)TYkfPmB?aF2*OZsc2$iERTl|w642*pFV87S}jG9sk3=Ttbj@klb;qi{6 zkZ?9}0Km1m5S{fSu!#G_wpqT@V2k#>5u>e|SgiP@z66RLrw7{i{8OBD$L6AJ?r*yv zLJcCVvqCr0UR+iOVelbP-Y01IWc{?SiKP7tCK7DD!rLTVvhBwtq45D7-@!Y8+1I-Q zYS6e#Dr5R_4Vt;u*%&pd)o}t8tCIT)HVML_Bq7Ud514IcWQoLI@~}I8&LDD!ZbfId z^WFiQXeh7KpZ$i@i#?GOx{_UC*#J|@!N@2s)P(Cs2W3$syD-h{!J}*-ajN>%1#8+ZPO(V163{O_e4 z)*SX=k~lZE;%!9cPQF%X>z~L6#o%kB1#oMK=os|+Xw zJE;C8AzJ%JS-F*rHqxLQQG-%NN`I$Pke$>P9ud~;?R&W+pWm9o4I33 zIOCO3Py-@VLKjscER_3e7S$jR&$b#H6?iHoZC{_I;9YF5zf@@F*&1g0sJ$ktv!Y8F z0#ckS_T5t$(0U4LW?i&=6CjZWG!3d#70|2CO_JiZdUbx zm^=@3R-X@`2$WtQ+u1O8P=^rP-$A@h9`90w38a9VuVn$XmNC*Ysh$QIQZzp%0(|1} zzIVGNMiR^l8&4b+)Ov$>{5p6I?b8)x9Iz>df9K1>vS>SWzJ}J2%qxtd{&7X&+ex8) z@9&#Hux>vGI*7AMN>B7cfc*>CQh~vGknv!Ogw;`e-PEV&p`W4eLCT9QtwUCcxP@B@ zU|kaAk+rw}32Y8Px-32xWnl@S#t-N*|aC`wNcwA<1`KLxJ- zTeiXHT6`5LNSSo{r?V0$>FmV1i@w=g8x0c_g3ncZUyuFv_mre|%lCSsP$B^eUbcE; zOQ8awyn;ALfCZm(4dy{cT-Jx7)QNoKE@7o#K*9r(6r8`;+9Y1uu(lIG4v?%QxuTUe zcA#njQU&sUGQ}nhsjrNHQ>p%PR#?(b5v${aM^k)xD#ShpPg)t4Qsn2?E{3~ksyG~Q zQ}FIcTy`j3C?J;SinyQx7A@v8aM?{|6ZGL^BP15=4w0Zr+p%G2Cg(@Y0V!)N+Cik# zs703x`W>>clL*iX3X6;5X7G>hpW&L`qEL}USJ;b0O4;7(Gm%7Zd zgC)okFo%Pr$=z9WG9y|&C}3rEmO|!FcEhH(|9A#YRDhufzeWAkMS~su`r#T#e%Dke z1RG<#wkTtl0a8o3+6&w`a`9v#;qGkkreX=Z0zGMu=RhD{`m%GTLLoQK7`CR#zGAJ9 z`S>j9d3YMwOTNKbA(QH6c2E)cVe11}O!2%PHx>`$lt9T3u)J+B03knLIv`_r3{%<% zQ=d&QR0cHR2n|5JNuQo0Ni>pgfZ)pp4v*kF_+*_WM<0BPmj*f7zst@s7NiB3oDsQV z6I`CLpYM|Uf8o`lzC&U5Qzhij@5x*|weLi*rYA__Oa_;RIQhb^Cifqofe6mOjx?C< z`0jj#Gm9WItcx_g2zpyh*hHm=Fh`TDuRENeY7xAFM*l#VlF3L-iIOMu`!b?SI!@IXj@iSo0!SiiD60-U^Vq_@Ar^<-1MNG1^5arW&vne zLmvQ=Tzw96a)a4{q|*S_K(t0vTblD1+5qXw-MKTL9|`n6d=H{`a2Y2-V4$0RR_Q$s z-3yGo0PG7YLUd~~&SR|#JHmyms(%9+s0_#%a1YUqFAtGnl&Jl(s_*&?L>C<6_WF#% zVnT3`;O-7vq{hpaK(sz?O`fw3qr2je!l6qk1Emp|93Ec5`bzel$+pp@$f5_W0BGP);@b3km_L^gvUcB&le&72 zJE`q!(-B~$nd!DN6r;%kGnlqQ1}6wJI|>eyZ=40+M_o2u;l+(#Glw?|Dj!>^k|Tl5 z0*egoHQZ#S#9EC`t+{f*ZNbtrVQHZL3y24|G9CSRlsvGhGTPf!4n|SlZjlmdLfdc^ zEQP^LsLz^ixaR6w@Yy%NK$C;20~zqaAKWV}s*`oewdMtMaaeMq5z={^SP|&CzfRlu zM`nizqw7!hoe~H4 z`@^W^Us5EH-hr24nK3|g<@>=bAaJ%&Q0jJMi8Q>yh*9%zms>!+O%7T<1vZKX-H0kf z&bE30J=%k?rq_eaq9AdwS4U^Ge!O{gl1HPAU6bwR#R^_x;jggtaS9{x^z7gSKnf8o z5uqKcA9K;`7&bNrF+pwkmxqBsVBq;;L0Ar&?F`79P2%+$?w~bADpnRnVyMOp()$~j zTLJ<&7xmagE+ma?)I(R#2jx_xS=7CgC@h}%d8=6Ex^O^1^FnnL5+DOU3SKcdho~i2 z(+FXDjAK*`5lTat!=g86NLaZc#cp@5o~&+zwg!}S0JY?`<|# z0qO)TxMbc3&b%?)jv2g%Qssu-Af+@x ziD11<;cNjo0YVI9^SRCEk^2lI!@UgWNhmPvB28*v+B`oiu{IT#QQ?O^^^H&OV~91g zBRUc=)d+L7pe071iu#OZfx>);bwLmUSOoNX7q`8c*qyW)G#5vx3!Z+fu!Ha53s|5) zWH(t#N}`Zed%dl4=bHg)7e$+U42xw%Sw-1xH0x39IB&+IazH49l+csSpy`DvHYj-3 z7qU?k4-h1>O$Dst6^tLr2TqkRf;a;x^^BL|O$pF@$t znCo~tyb|~Zu7(iwMdY6y9^y(Whj-&(cuKNlz8Ow*AdhDoE%xSF%kIGS91pmy=4~4s zs1{}GcU`TJ2ZP#g`A@JQI0Xwo$kAl8=;plzUS%Y3MD6|3Yd zFBXwuAR5#%X!$U11avczrpEy8Ax5AP&w#(6H&E`-?+;J} z0usb|B+e3t1T!5_2aI`QlZ|LHYZ}HSSkVFOa@LRK!?7^M6#X4+PaQ6VpLGhqG)3QM z20eHT_y-!G&^WJR70_wRIT_uy!?Qzb$Ast0I=Yd(yQ%7!1GEj@f<#J92C(C zicq~M`+2HW^B*=3FQHgp41Wun-<+L0u>k(LI&!?ZmZ4{k?Rdo%!cc5{;uJsI58LnFEX9%4ki+ zKaK!l1n88Q2WY?0ZUX6rMx}b7PbA8Hy(^FmnvIM?%iK0oU0M(wPUL_|23Hkg;TIVD zb}f?0+mx+10fht9L71)eDbPot^Rkj;p%j9?0Z@DU1~u~amh(q$xBd=+-6Z9C`F}Ch z)Lp7ehH;+rpF5tOLZeEGjiQi1o9UOfV@@!Z#6=WuO*Ni{Ga%rA0ysVd2G~}vl-3@j z4@Hou(6=|ouUVkHK{A#RWsQRqW~1Gl>ePl1DOPC{YKKx1Z&c|eX~Uq`V&`+0 zfdCIQ*6LO&mY!|nDhoLjw)Mgt;6V@q1p{zlaKK8S+{%a!Iy(odDcD!rI;d9Rm>d`c zwDvH_9nWG#kED5EukM3O9fPBJR$|qaeK%JCydt<)W?e=FM1z*h%g;C@1%ixYqfoQ1T)M=p&s$r=foiz(k(4hW%V8abgHv&P#r5JvvMyQQ@ zOXuH=lX~3c(qlMNJ`lk%2XwYyW-mL4GCxky-0)l()FRkJ>SZaE8lIU|VS%z@i-73? zQKx|R@)aa#Kp+7SCq`RXwgeO{LG#Z=UXnRE`M(+`Kk3;E0&a_puTXoltxQ2U zP$RA%Wb?Y!p@L+aD0{p(AVaeuI#0N#-|Z&97ceU9K4uXxgT6_Tkxk)B+5`Urgp={t zTiw}*wxT}0zwiHUw50}rJF~0!)=+b2XS7@28$4nM5$_^Ku~tAhCP)^d{&j94f)g`9 zP6feY4Pj1~gyOs>VCo;{T?G}BGtLFAjzVc4HDpxeW|G1KZ7$SjP4~kD$#AfPwYLS~ z!*_IEa&=aP`e;v4w@W}PAg9zsEq|mHF<6@F(^*^xZ_NWy0)Bb=vo1gg8q&NX0XNAG z$9Wz#q5(+oxXBT!5%BuJeZ6q*n0>edOL9erWbDyTSpD2_?V%W)a&y?n8lX-ws0+3H zO%oo)%)m)I4tKWi{|JQWTtRl=)~1mwD!3mR&5orbi~%Y((0su}YRQOGO}I!97v>rV z7JtKOJd?4(T?1P6`ExLnr&;lC7hYT-vjdLviAN$CAou;n4dXjsWM^Vb95O)Uvv}PwbdhjM3V)E*#fOe&=&t<~f?Rb?z0A)eErvSDOl{^Ueum7f9 z1(&3VjyiSk1H}X{8HymFdb>Otfw5(5oGKd7-kNUU#gq;}u1XS$R!Yq{9FKbU`LRfs z;;SW(Ic}vU2g5j9xFVvC5X+lwOX~$q030{tfEC(8?GE#&Xf_CD>tOh-MnI=G;|k^^ zfV{;!$+<&e_ie~P z+!*<=aP;w6ZEL}R&esYI_q_UAe8nL*b5|AU?T})9vK7i`fJ6!bzOdeL0!DUjq$9Mq zpsV{ioRcI4OsgLf7Q#V~EGl5W4%EO!3%@WRS7Z7+_$pV`p~h>_U^Fi8H4>$90)5MD zX|sxG;sNRjbT|xr6!IGycbtC5nt@nrEv`Se3McC%xI@(?sNwAba!3N$HXe@2$Xi$6 zRk`R47Vyh9F-V#)NM ztG6F(g<}BF?DlZpg2qFY)P@q|A%s?+?7t1%MiV zGGeYFUFjekmVq{5>nI^ZjZ7B~z#VX6m!32lQIO;t{{mDo=Up~*=5vlnQ}S6G9bPIB zy!_r8WUPOa<0J7N4F`hQf;qcx_RK>Y0+|+cm$~c;G-MaA4{j=|7%_ zq;Ti}cEz-K+mBc@UgU>wIZMGPL$YbM6+sK>_VZsaVp-+hxii&~)h-2Fgf(jbci~?UEO%7eKL+1*BJsA2f#+kbz;s5OxK|JbU0^Q8=EW zM5)++$-eV79OEO7=x8Jx|C^2mOjrfvaMvF%sqnn^>b@G1ORTvoAPy5$xg9pF83Wb- ztGzRgY5I)g_`|#h3C4rVDPv<)*(wu61hjN+$m+r2<^>4bn25;03yAB5MsN-U1wkre zJtk8SQN#lnEm|3tYXlt?4_bn&!%+oPiiOgBpJJ9QX364c%kd5ZT;a3s#jb=ZXKj{hOkAtG^}NgJ-(`9t3H{>%p%RrG zrV)nHsv57rv@H#o)b-0=II>!V24`+uch&ni)7{*U^C|nhXrB8v{WEi^?d<88$#*m} zMRS-#Hn30Chs)f+j&{dI{8vH~MdQDkCi))lkL zESGJYMU!*(i?x<3atW>*x6WDWY;#w{iF{OH@D8AKPEPbv< zN4r3dog{`L#*XJyJ5Y%U`}Am9uM7?dA2+CpkpmEFOF22@V{>5CfmpE*tIpEMGia)F zQVTFdcpggcPbEhp=^z)@Bs)3mnx<>hBK(gsH>zCYqYdI}oEPsEtsAYfe1b2L*=mTx zdNmX)HXC?-w~p>Yg1RwXj+i*LRg^?3Ld75kd~7{6B|n5pi)%J6dsGL8U8nv1 zXS?l2sZwC5=&2lG%kM-*kC{(aNEy#ddsnWND4OsUBvzO=H0D(dev5<;-n7HCMnCdE z&?8wj8ksPpS?pn8k9glDyj`)^ebBol71F1>P%^kCCn_VMp==Q zxd!GY;Gh}Wpm0%IhzC~Nouh-%<+623Mg}m^GFo?B>mYR;?e zl?E0Q1RkJivVIIo1N$T6PPAvcUhupYZp%Dsc5J0vIoNVRk;OG_01;vDGd0u9<|fbG z!S}74#ZJsoDnEgx3Hf(HBD`-{ko;;H ztl^;>iy?TW_}cK$y*zZEcLM(PgIn=w(Z}ZVOQ_uaCeruh$byLs-#W_P#v);5JXrmY zQtp~20M%ez^N%A<`x#2YgzxVHJ$KiX+@Jv-nh024Z9MTs|HEPNk6pdXX_4Zx@tG@ zB^O*0u|V=N3r*Pd#%3m)3!9$hgQO|Z*O3Lt&G7X&#R=u2!RNvg+`YVMsZM}aJgsCC zES%x!>_nBrNk0zzCfMqj42b{;K+e-=_@pt^np(0KWUQN$bYSxeT(PMM-}u{dspMTH z1u4vHQ&=HJ1wy}XUp0b#7XfurhiM(49})P4LG9VU3-Jf|Kuzw^v8nHTiNBp)+mBR6 z!Rio8kYhBB+7${c=bY1k4XAg6k3@=v0+c;|M&m3^Ng4I{LN&GOOY}&z`6<_BE?*%( zmON9J=wd<|1z2<^gNv0Ce$Ifa5(Te4;0mc2kr$zQ5ME7hnk%#aZSz+cRua0?n@#W- zy5&fHl&W$&vK@!o6ckzF8^F4Mt!p=wXOAVMj`}X}_{VI_(0xGCX$?tHifU{%iIxxK z^}fN0%5W)W48!aid;Cbn#*d~OexJ0HoqClOk^fG1yllL~&;>A?V1x+y@{PCY)6Q`T z^lA9T|85Y(+{b(__BCmIgQ!AVS9kh?dfVXxmL{aj{KbD#ienq4%4_{k@lDn@>x>l_(jTRz#ACoKz@+BrTG}D%(~c8w9N)XIlj% zO14CT2`pks&V^D1lA(x2s@VtodFK1RS!>qJ{F-;>Wv%X8rNRmO?0xNPU;ErYXRNnt z`~K}1hV9Zn^ZNx1+X{c=ss3&oJg)V%1;9hq=ahxdMK32G|0{SLW^~2py1SQ;yX)0M zemK0htCy#Otg5WM^dT1?pX=Uga&jL3d4a4K-dXM!W1epKkngXbvGm3;;kW2NE>D`T z7KXVL>;Hc8(#@oa{(v|$+-I$sAnexfZPg81`%c-k8bWGU)!RFskHMgd!=GQw82%t&Z%C3Zru{bBMtyz=(+Rq~ z4gRk_`z1^+-G6#uw7+~Q{MR2a;>v%?nf{mFrvD!NxAS#rBJDQcSzX%a864!yYVT&vSY3WiMSXme>c~^?k)}No+*n#3I?a2!-0~|} z9oAmBk!1g-mGOLg-vj?R0@~ZW*Q`35pvjWaPfzrWwb+cTAsC1^9Dd^7`5w1?Tx!Uo zJ}K$?+wUze-`Xl^yam(g_svoRhY=+2`0?TEF&^~GK}sodfV?T^4=N;JUaT)1k5gWQFKCJLlWyRNFP&AdxwYSu&?RBs)rjTA`@ zU0+eE58}aSfyjj=bUQ?9#tcQM%j)AhES;ZOmw7g_v?>A@uElh2#nL>G6HqK_HCC6o zm~KeDU?3A+Mh{hwwGU!zmSmg$^w1I?LK_H zjDoQJ)%#*uJNPgi8MHY6C*IaV*8zUoe}N?k9jbX?Fg;K~7ImnNFv_>9*xUqzV?6&K za_9f;C;p4Z;s4&a|9@`WH~b}?8EaT3waH2~VxdhJ*62ydyo`SQk4 z3xpI=YFB|nYqoj5Q&7G`gnqh7DqD-d31W3QP$Sfvf~!(DiUaD;V#HS{2n7Fi+<}zJ zSsO}C)KF#jPm@}W4Fczv8J!j(3yvT5Budb8u2H$Kn`x|F$4^(JuC2YlPYqoaqp#Yv zl#JI-dw={zKUJ%d%#WqXq9DteT^^!(mWRyGcG{Z=hbXeg?X}s>c_n5o&kW{pZrgKn zu{Fi%%EZ1KwG!G@qv=#uJz*_mo7~GomVVvC_1iF7%uC)w7|k>H#c!;|UXfsJ+*yh_ z{i2E3u3aJnWsiTc44#c?>>ThNCFN9YNN8(28M3OX>O9>IW2~~)C{4-QH-o1rWIbWm zlq3wxO$NM>ncQhFXFqKnvT$KAWXfA)Aito%rm{Dmu4g|)*r8*U8Y$%{B%~cU{ib|M zGWJK#^v3k-i;JA;`iCQl&2=9zo%NSn_F*oqc0n=$GjI5{{boN5I7~!8TW7SdD=E__YF`_uaC_PDT`7$5u zFHAN1f4NUB?G3$|YHGfIopPIdrZp)TkLRq5giib=Mfydzu3{Vc!j{mvM49BB*ySdO zl|-}2m2vXw)as0bbBd*GuPrW`6%s2;y>hQ4xU}>%*NN2#wJhn=BvF2ibFvZxLDT%x zb4)o2drn}zGY=ML3gJ7=G~n|c#=j10Er&8bI^Nn!I_SSP6Ds8XaDKFvMD5YqI+!G= zAWm86fQgPiqyG6l_0@RjOxKTkqG8f4Br1kEHT?>->Rz}KLS_rcB zMyI+c{=MU8NGETT&Oae}_Mf$6O_fu%IqWyvvk$7rSQ31T2Li`&jE|2}U(t=#C!^+? zwY8HIKWqQV{eo#2Pclq2E42@jVYkHARYP0$^KC@Po#AtkRkk~5TcWotUZxpzv`dP79^|b*TGlm}F~-W~W_{ zN9l4ip*VGoA)z|gppZDfu!or2tJE1~dRM~OQ1(@3Lrk(;9;@%Hl$iahRrDxEEJbN~ zLn(mm{X%3RFT=n^!^))!{*>M;_by=atKvopQ31p868fwMUcrYuZT)S@m6hBtJmO9q zXD{SyFK_r)8Q2Agb>AF%`uG>sq42RnF3f`*1Y2LkNKYg!NjzO=H{(hMh9V4NYzl40 z>XU+&`u&~V34OS?#r&FqqCwN^Z| zU%wJ%x>8>1xmzcrPKtau(r{&7e>kOl%x6LV>id5Q_SVZ)1>ezkF*37!7F@Bu$a{yb z+#40dyZH4{FuR_5N5CxcN6e)kR#1oJ*z&aSq22|jeYsVkmeoVKWu)8uvZpTBMo?eR zne8ts1>c=A6sa9rv()Qe)aYJS11{caWo>zO$az)CRdYB+-O{(cFr-EID{%2-ym)2h<`{rjB)?3b{dSbZ|7q+?}pHP-HIjIFXNXYIY?1xyD% zY_iQjPRzgGwA8=ru}w?R;4Nm$Z&n@u`tfk#Y>klfSle^U>uimfN z;gW3tj$$$rcU(mJNJ~Eb-i}Z#ZT%d^t)uS!ZWk3!48LZSP4Ep$qy=g1s~+_)DYL{} z&A{c)_ll-ojSsh*+Z%P}+0GF-O9W)0TCHx4bz;@)D+>mHWA6OIp(ohw`E`pkpQ%mi z5>mNQ(iJ|1-A?UJJeXAsM1h`LR5JM;pH#28ee(R6>2{)LKdE9dOVO%)alX~WIoY>^ ziVh~EQ^Q%=d39w~>yu7FRgla*1M)=wXX0d|9Klj{cjf21j(sm3>t*VP^bVTtUE;#V z8o?i)b0Dw{;+abWK~xb=TvBKte*P0P<#Kk;1>aYTlXnE{KGq0%B?;Kw{AJg!U6h%( zI}%IQo`eKdeWkk>;hUR*x>@X33HWl~F^^I=QSBA{q~%|L7vv$ix#qGuS&yq6s+9oq zbWXJuw)ZtH3bDHV{cdr`^@Yyn!;u;!QT7M9&_@+kmnG8$iLbp_493Q4{bEWGazQ)f zY-IU28oeYRY{L|J6fmx|ZRth^rz4F^yM7(*Qw?A<8Gr63O^22R(~F$jzYm~~1DeSX znRHXAs{+fbJXNQ?>}6XX`r_Km0~K-b*PE8738I?&m$@Ot!`BNn6xI>-Xel?#nO={U1162e|o$oLgbvSRd zyBcgqd^Zkvik|FuR?Sy(X;tW0+L&W-0&<3g<#!?^QJ!r(KSCy(a`*0ClfEh-5Jp=w zOvp~>FqUOsus20+u02eM$H>z__h0i^J2#f2Y;pQ!Mc_i;Ij zxe7U%EruikGpEt4F=vQAMP4G^*eF6%8T_GRzb`r3+&IQcQt-r!F-NRAW3~XO0*c7` z5%!P>d7;Cgv`-!&1j~dN)Asyge8}rMN$PmM1Xvn=gH5&dr>sLt?uQoYj%SsoD&rx4 zsmY07*aJ(X4|}tf1yYm4WHZB-2wVl9?^35j&CU2Wn*Z)#vzy7j9nYorV>92|aPP!& z8%8r?>nGHF&u$c1xbL+(!tNW9d~j;l%Pn!~i%sg(Fu9n?l1|y!@A(fVKrDM!fDt*5 zu`R^Ej1psB&-`X->0KA~)UDHT=mB|$>=7xi-!7iVT9VRDO#FIfD6=(=EC#SJg;&|X zhKU|jH%sQjdQ@UD9-UK=&8GyU_Zf^Q(hbe*HB~2z@!lcC(sbQ>jJG@L7e77%lo{Q- z*CxmVKs5Cy15q_+Eb}fPhI6-iy-Y&c^^6#6(gS75$mAQR3#+-?hyNaEz@Ca3#XX!T zGU=`yO~*G^S1jTqb+F7o;P_j0QAT3+D3tpd`O!566*I?vFBaIYlO^wNfd?SdG6;(f zj7ipRE}hjcKV1f{#Y8JU>E_k$$}fL8j^`q;S<;cEETChsPw|N5jSq~qx%#X(Oa11; zBJ!e^fuq-oxV{mtibZaD`e59wTT2OUbq?SFJj3~As5^DC7T@lm^6*DZ%9Ng|Tw^jG z>eeY^v|u21h)zCVALDB31*+mSmM^!Id9~livWhSf%$7#l*359T&%-U zjOK&P|95f2Goef6j&HV-nK1^Qua5)2!)Uu$|Az<`Y|)v=+{gYB#*Cx%;hFnZ%IVP# z04EfYjd;7f{}=1z0xYH#!tA5ErNU&)Je{g$-cmWM1k;Q^BAtKyq318M@!6V4xiAUMC7VLd z1~rmk<12}|l%qvyzWnx2{JWK+W?2POh`8WqvMzG9y<4q1BdDnc9`pjHwQ=;_S^R0LGB0#gI|lsiRTnn~d6^bFu?CdAHN2l6r6zjC z`|0{7$XqLA+roXIUd8u>E_kG+#iS)e<-7 z8X2X%q<|5lN>(((o+GJ}Ud5_&++b%L^U^jNvwXTR0g$Ev96FMyrHmC)`2HgizWDm&@cD1$Xq((Phs6S zvjmR0S<(Sz>29wo#;b9Xux6I=)@sh!rzZ!VEcNCeC|aUd9eBq@6EJk`V`g*Q~Uj66YKf+J)EDg zL~rVht&BPl=u)`Y^X!MRq}c{eQRLNuhGl)8Dd{Ag+N-Y?FT_t9_8q$v zF`8dt7BQ=PH_BndyV(@I1Dscyt*g7C=c}XLmv19T1UYi(YA=`<%?6(M9K!r3`~>8t z@_T{a{Tp81A9w5*L0Hh6Lypm=q`793(6u4-@;-Rt8|-n>^4oR_nbiPAD`)d{i%$9V z=?bdqh^T&aBk%ZQf4ZKLoCTKKSPyJ*TTdh*X>Gz8 za!ZLSP6dmfD8F}YV+rTJ+}+&A$GutRIcHrjXFtU*UY(+T5Rh=oIS-p@6{gg2#Npjk zd2GQ|HZvQT>_$DRKQBXn6 zPuk&Quh-_70aOutZVtyY-tQ*o6ErQ|av9GvNTKT_zSHWM*2#N(xSX3~&*lAs*T-?v z0NRm-w$48Kj%f9gJ&fni`23EHA{_t%SzEL`)}Njk2&#w9Kar1FTdu{qa}m`bveJf= zLjx)ITA%7uXKN)gk}kj$da^DWA9bKU)yKK3uFr$du1*@i_2 zQL4zsIoYZN4OIxHtgV>L==!WPiy<$*{+S;a&Q0tvhJDUn?DMAHmk_u1vURdaB80Nm zr_GbM6Box;>2eOA$|_B3(s!FkJM6)Vosv#GvZ$Ze&V(b!jEC`DB)h+Y-I_2k^&!3SLnx#25uFsIi7>I`QeGf;^KR>j}6PS)Mv5c_0r^=a?h5EAlURYoX@mfO(ibosKe*w zS=h@o&GYc-S2q^RaI{-V>6J3-T3;fR!pa)w68GyzL5Lny@xOvU0C9x6`*LYRn^NT0zg5Z z;cIc_j=b`~4Lw0At~6CxW|zGtn$bREQLpDOP(HD>Rxg1;S;dAd9(719TbQepqE;-4x2B6hQLRD69xceiDD4+Z|9*M1CT)VC`beVOXm=5y__hatQ5B!_ z3LjBX5jk;;y|F~53}?Zj7khd)n$|Sj;;G-aQq6-_&=X8u@i~~*1}l~^^NtLzCq8Hj zt<1RcQXj5CV{JzMu3Z2Qg#sa%w$X5Gm9&VBnVqVj{8KP7TIo)~3pKQ=wP)eaG1?{c zY4KHSVgOGaztXbEm`<;vkBguIhZPHdIfr&3;r%ut(Zi=vyw0f%MC;;V6|x{76S41n zjTz>$-HdD7cbg1QwKIOHA0^U&jo8kS!pL<5j(!??=P=pt4=0~k z3MU_4H1vSEjR|SE?@w4}*^>xKhp7iDX31N={n}lf&0us^8OK=sijX~6NyTJ=o}f2j zeO!JUPxZtFjQd#c)GH}VhX;(DqAX)>Z1SC@b9BK{UOD_l#~Q%Y<0K&O1^Y0kdk_LGAv0xtJPdh~xPZ;z00E=500$fXMy}GLhB4X- zCql;>%=&T+1lYnae=&uB-yw6!cR%Kmy4NZ*{DV}UMU4{{w+A*yt9^MES96lIQz#~< z%&sH=ORKQ*s*v9+fpZtuuI$mkig#_kYPX4~?p@JZ;Y5U`;DhLai_#9Phri&$w-HTR zX?=iMr)RAGmoL z$P&{Gt~4bDo*#(u`xV3kfRFVeWUGCT&Ct;)KOHG}5f<7?9V{``g|kk6$8Vy=VLv5s zU~Mr@E`cL|S|s$QU=i0K8T{w6#ZZkH6yqmeIsh95rbdiZxca+bc4|;wct19C1FSVT z$179;P_$z=E*qA=p`oxo=J;wNJqNxsHyYNKA7B~;^Y|0TRllY&B($HyF*>FIY=B^q zgt4^4OPny*vOQXps}SoE2JvkNOUH_?wwu;>Rn*IxO2B;3KEEq!7B8Q&DqZSRfJEZj z9K6N}@`A49sDia_=j=uvopHc58)O1+3U>yAIKBYNCh? zbP2jXgQWArQgy5^Ogm-?uVsnkL69sxOkxUXex=C8GEA{<-eFulawhQ{rDR5G; z1l{HoT#lE!v;(Ku75TaCXgFW*OVsiHp%ntGI~XITnBm!97YCG+Dld?LH@-inqpp1I zlKfJiX$FY2TC=iaj??AVu^u^Kta{=J>r#~EFIg8c%=G2*7rZQ{vkLp=;tVtv#8MzI zfj2{+TKp$vSkeKw_*ic)tVdw$AszL$CwdS~z(`!=&>F9623`UWAqf`R^GKl?;9{=Y zR_xrf$GY`Ul9+@Oot7M@p$d2vpnlzhYA)iUb6X}}cBVmr*@qDqPjY=nGY%fNM)A== zhRG7aT=E0wkBo4~+F3R2!dyg9szi+O9=t_8$!nU-jb*kx&k(m?yNYi$LfiKY=y@6+ zu$=OK?(Ii0Vu#~I7d`@NOc0WKZb3lru#y6H6K#9$o51mC@7p~5=sd`5ezAL*ZA%ql z^L=Rq4&D>iAq`4O*f;%JTi5ce{`3GfJ0F}NASnPdNmAipA3tFUWK$y7HTRxkATJru zVo7qrk0F5QxD}43KU=oG{s!NK>4X3_Id^flxF~YO+?dM_px#FKur@NRN&4vrXZ;3L zyInJ$8pNXWo_ju4mT7ZkBzgVI4{1$c(n=jq^zcv_1KxV`%ZHQ8lBDLpp5Od(NY3F0 zY3|PH#@Zzuz@I^LC`BZQ>K1GPlDN#r8L6_dtndSt@P;&*eX4~?>OjJy1H%XAlK?&- zV6M?IC4eLrn}e)%uQbI`)gMx8yeyYa1#IUvCt4Z;Ma&rFvuH8WWj3n!_5srapkWiD zrHw+h2y)bKU(FzsDI>FwBaF^=AsiFr{Gl?ud#56 zHBFGv3_=kt^Y%bRJ>^4Tz14SH()iFYXpeOZ2me6laO`g&HatJQQF6da2CqXlfc;N; z$>J+z^b|-$e79q1O?P)mjU2#=ZDF&NC!h@a=?U4pITv=~oZd)^b(7N6>mpdLhVNk# zLS?kyfHAs+PRA3E(xW5$fhvL%3P1m&&NA&m;QS{BRU#W^QOpazu}KqiNrVx4v>mS% zEgML1FVqM7Agc8`lJQM98ji#H8Y~(^nV?oVL<4qr^X39{H;2X;#ywnHrEk6fk?QdC ze?jpyUm=>=nTxy^Ut(CC0B@CWFiPQKYD6y+Vs!5W)BUKT?=xRu?sECGx4@His)7i$`cJ6yf zfYO4g-nAdi?L!vACvE+@nGQ>%VAOsvR8cCFjbp4K;S~Fu>zlea?L$9-vkp1`10=iq z@$hNKg?961_-+;`XUz`gTK0#oPU=J0dWC~uaNe(X*b~+Tdr>JPQBwd$fy6&nP{YiP zs@hn{XSb$qMB!pA#i4A_d`iGJN-JcA5$6y=Wl+i45na;4A@iR^sq&Cp87HfSdHj}e4&5;jYp4nUksQq|@ zPH)(}YQ+?2jZ~-X+|n$ytK@i%0K7PuyC|e1&NU%*{4*n3OO)4hP3llylF;&{FFg>^ z4oz={;d4@$AzT}s@9#4Yyl3-PCt12YzT>n~KR8T7AhL_(b;7gn<@{8CxfuN?bY!gV z`~w_iR#H%v8-*RWSwW&Km#0Y0HwB`YK9uV6q+idx-6Qcwpy07X?Ab{2bZ`cnUf--> z3Z663yY0LllM3KRS6BCy&nU^(zh6n4O*N5+3dyB|UZoYRIw`<$rr%_Tp$pmejXoSx zb6chS*Q~Q>=lWo$ispq={Vb>7@oQ^1EPQs$qd1)wPMdswHFyI`IQDD5!WTIaq+HCC zyvnpqZMgfsEMXI{uwf?NPpzQJ_kuG*dq12YHTvnW>!^r~c60I5WWS!HP^Ahn)?S}S zb~|0U>In+cBpVot>R9Fz`I|F?ii(Pt4tmGP0K215nqiW<@m$+rTJBF4yO|IgLzr?J z8JP>SU;8`NIrDzZ{?s5q1&8|O4)&1!q{!>+)jn^QWP)OlSt4G7Q(dlXaV}~rVZ^kWN;g2AH zO%>Ugxu?3&cCq!DL9FD)9;f>4QaKMF9o8GZFOl*QmP>oKB@#(aYZh7ca`X$c;GT~H zxTSqj9=JKw2j3F_M(C`uSXCxA1+v)=P-f(mbXWlsSW*Z+$O+E85vdRKtb+26XHJLj zd*t1uDglnG3FQ+$;~lxDIGRqKYU4R%_)@2qr}`AApBBM8LnlHHpAL^Js95ZAE4!ot z&Ke56m`+$Z*v}j&6`mCo9EY_W1(_3+QshSTv{%l{QW&IgP_7^`gKwwprU*FEy^tEt zlGE?7aCm@}r>fJh=UPB3-xn~FtjcDPrPfpul)$8z;gg@=-6KqBp))HMYeN!^Cv32b zKHn88{aq2hy#Yv(v=1_cAAePFTFiwhvg^z%Nw6jCcc>9{x)z@8jot zA_F^J6OF4v*9+k=IDwc%P}$wW4_0G-n$FQ(O~Th54VVYsS#%XjRmfRO{>_b@I}8yp z?L$b06s3Aq{~grO5M;Mfr`>?wxRE1^FCd+-;zA)(#OTE^Vw#wow9EBBD67gY24s<(&= zoOvKk6XbYekcs?ER1CAL2n=C3P3iP9M&dg>AD!Auh4_&Odu)CX7voXzVQ;|TEna+$ zpfeO0^6C*uO7R|%E^3g6;$vkj#En`YGAM~_AyD!D9NE9EM|en~?Ov+06)MHKw1Puw z#?1`AF|CdB2$QS4iIm?-ASX7}_igZX8vq6Cny0{ya*0QVN-d$8(D&3hSL9h8lwa0SW8eDa;tk8mnHx7vP)2Z{aaL0k?eC}03yeBGFQ=;l%OfLv=S0~F;F3F`AmPqh64cc+cF(Z9D^K{yCS4Db>RG#C)nKZH0dTQ6N?c<1OXlfr*w zPa*-qpg|8=jH*)0fFxk5Q$e`5y^A3p}%Rs(mbF*sG(xKwoeqx@cI|uW30(pCm z+V*2%C=}Gx)W89kQJ;9BdzW7%1w1RbCvOwkiuo1-g;!CBnsDlHqF0IvJ-8?kpiqcp zBVfOEndhIN6>$1=O2CL@gQtoKp16Mbj{dFYYb*1kNLCNKbt(0}>)!1;R(C*IrGnZB zPzZ8}P)#2@Q7t_N5!3j@=Rd=;hE|U}vl``(E_f7L5;$6=|kpy=7i`FTeby0rP@_MQhPQhqdzq zrH+qQz`P)xKk9yfF_J~ulU{_xUeEH}FYl`-)Zp-YgFGq2i(VVD4@D;` zdsuDb7fy0*O~-wuJ(kt}Lm3nt#vdR4q6<{*Qe;Ra2;@Nu6RI?H;VGT7u_PnN-%|nS z+pPw78@eUx#qZ|MSZfkRUUQ@w1X172Yq0OMDdOy=jNQkI!S$! zL~3y17e!j7O~^vKLa9GkdSriw?ma%pB9lp?`4x+x{9wk!{A-(H0r;}(HKntAdt$)n zOM$w_4Eak?c&?b%K2HCccxen!DHU96il{1hO%$=96w`}eU!dNoHBJ7~TCqA+uFtx! zAV3_R-N;Jof91Q{)lHaQo#q$%2dUBK2SnV+=^|c{>Ul}tn9+2dRDJ`RuCQhxgF!aQ zQ{w}d^YjAD(-|FHcL=|N$1dx%-$*l3g^I=PT_nV3iz+O&7|1c9<-v#~7%RvvGqj#s zf$$!n-j(<3D~pq>kFzNL4xT|hD- zdHlwg_Y=_ap-+MyktX?(a~C0kI3x5U`i$6xe9f*clOGekDpehVz!S3D*6DH>9S*Bg z{T9VY)HmYa?`uwC0O)Qqlw(hjha{9U_>hA%ujZN_E2NX22BeqV~09JN(Z?3!c$29%kQnLSmYpJ15 ztI+YQzayk8uD{pj`kSPX#cm)lwHl+2UMz&o&j3sSZq(k)3Mws!Kk*&G*uMj)@?P@= ze-Og(1)J*FDWatThTQPig4zC1kfYg!gqzrv8;X*3VHUmzu zyji071&Z@sDe}0wj493rH+Sl4-$;VYZd$Q$=<;Xxl6JFrHQ#Hm{3a9V>r?(lp}59q z^BC`4X`=_AQ72%cpccsEuttlYcPAtc-`TqWtus!Mnu}*h6BSDX2NDWm( zXuu8*n9oGlacJKOfc~ZmaYCx*;*pX4Zh74dxm}Yj|5Gbaj^_6>>-3mBVmVel5ePk!Q;b&s--<2V&%51kvLck~R@v(1i^Ag53%x!&5^InZ* ziBe}izuQBc5mc&ep5r8Fg#`M65FK!!wa4E&7GBtC4%M+=ty_N@s&h{@#F;2eIoaX;ZYvr}i}sM3Jtob(9bDqm7GuX|lFHpH8K& z#4lF~Y=fP*cG9SP|C7Nbfh1)Rf6!`tr&FX$E&&%N?oeC0wkmSt{f|(aZY7D@uaB9} zWoWM-wSDE|%05)BH$UFFDTO9EcD=YFqP}A$>Y{P{jZ_+(atUOUo52Ykb-=L9Y3ODk zv5HpaQaP_J>E6JgdKR=@*krjH=XVm7Js&8M61|KA=Uv!KTH`rIc);f1HDIhsH^1Bu zfIV?uafVz{bt_MC8VY|%OAhfS8Dv!2akIz}bb!1v6=S5%!bA!&eHSC~>! zRxr_CFRm9z+nQV2bB*%lFR8+JeCmt`Dg*GH@X6{9G{oS_QJJ0btVccyxOHR@AUHGzjsyO`k! z`8%ov0?T=Fq>0%FwvqZg2Hx_{asLaD7L=D>!!>_`cHm81?O zohC6X6BQ74$xs~SZ(M~`4n~9Z{NdXvGs0&eiw2sYn~??mmh*mn$01*IgqR5vF5aWf z2`K!q7x>dORiwrLCzZ)8xWAj6>~B19^9iDj-R5hAfIt889 zTBDU!3S8>P=Ut!u!0h8927)!UwQ=t_@rW05GU9Cf=ie-9BlPp_sBd>j5Z2ugY23lc zC&-L^2W55dZP-}7WHqK#3bMPd0_aLQhn7HTWo@LM!i_CB0rdwzsHZ(Gd3n-{eEta{ zOpCWYIUViIgZ1#j^wqDksMLf0qGkPNo9}%&S&H|Be?wa%hKeY+U`~Ncd5Gyun4hw3 z`Vq_2M(@MJ`!+zPfhr&ytBIiC8bB|H+FxgiwDL_>4YgPeu z%T%di8^Iz!3;RF~@j!{n@kJty=k_qvmTi(Al*T!7YV0<``_ z6KH&WgsQF8SPvA2b<~R+W;)bD2Me@pKuBfX!ZPz~MF<-AL_(ME36DeH*eO?H%zT{`)D&HgI1p+h z{!>$gmIzYCk}(qRk+DYRvsk-2r$mn!B#j3~CUtgME_60*>^Cl%;j$_jhjph!Q&jpx zyg-5W+Ao$@?jTuaqF0{UE?OIEEooGtYnW&*TpEUCV{NgjXTtzkrNdI(JPY`_MqIc( zNJxfxXrbr>D4I)#H4#S8oCRNP#pst#B|m>k&R=W_Jj};Xd;^%QTPY`8=%oJ zaHj5~E;>7wM@{OxDp$sEIlP-)O%Hka&cH^(sfTI{?dOOSU;edINLgAR4~-Mf&?2+m zwT>V*M4BA2CtNbfJ2=54eOEGZV!?c&^Kxul7c7Q z?CXI&TD`wI1^EUd;!#tJF36dl{mLzq<~<@0*HhSmbFm8hkLj!R`P);>Y0z-6zQP{F zd=*B7=ejx9VlkRm+O%4~fMJ4Ual`eT@M5rOLY61DQKZG=GJk8qco_ye}COGUFgY>NP3v$YX%w}V!Y~jj=a;- z*Yh6^W=`=1C{dsQ;xs&4TOSuPS%MsB34#a(zz6NMmZr?NKtBg~ zL@YRIp;OLb;c8fPfe@w@0Xhg1AMhvuVe%^zKm-i2VX*4Ke$$$-ha;sOl(AqW8B}P` zFoCKaRXh zQ=*3%(uQtoJFdm!NKmN(A*Eda(&y1CD_Ca*$tD^F;h(S>SBO=?S$71C{d#lV`S(Zl z`B`sDRbEY&Zc0@E&V#;U^V)+rG4JMN=o@7Q$CX+U@z@33tH9!LCgs%WkgG8 z^(%b4o%-93XhGh42hk{8?7>vS-+)Y}hQX)R$aO4iCx{$lpgB`Thya?)*;=$plkbKi zV+;I?8tXuzT?Cr1YIlH;l+~$CoyhlaR{_$A1g$QhYA}+A6TAJOD9@)J74$=LkS9dS zw1FngvT%y}#JQTwSR52CF)cC}Q-?jh0^>@f9Q3mg^i~;o31@Xv!l^}8>Nr!{BN;GR z!fHmb3kuirH@@7f?fE9E^FWG~W+=)sdfdn$gzT`E6I3l612rN4VZE4wg|X~=lbeilUeW;VwG7eQf|gisS`(>tS%;tZ3IJq`}pnA7LIsDj1u-2D+7 zK68%`L>Bt=N^12jP;r`pX04|b={2v>D{QUJvvI5@7S8Zuiek_%LSsN9AascUKGgTsX^%u<<9ayzAS9l5z8Ea9(1DZ9> z;js2dWn(<&p3gPQW%Kxt!QD-I?XGD9K;g?k6$rMW{#w;-UO?8wMN~wQRJwUx-sK!? zZI1cVQIH;xjU^p=(@xfDV_E1M@#A@k!JJi4&WHs~#Utek$bQ|SL&Tx`ByV(qN53yR zbs$nq+hgJS3`CBO$-X3z6AA|&ff`+*)iFTdWqqUreip!}Q`^lY#&ctXH|Ai97%Xe< zdmzi87=M%lt#80Kz#3Lhz!Tp+t;;V~FPG|by+)KK_CQ9M?deiJXDbxshk|x*5KEKjiPW< z(1g|GAy~Zy69Ek*XrG7U7_n7`YW{w5Ad1c3r6TRn4r$MSl+RYyo|b!g;z7f`J`b58 zdgBKnuc!i75OSM&P>>dMkPK1Gr9H;BH0Ouc^ibyb8(tLpf|dqvi-a5K-is;Nj#(+d zw$QR~rz5p(%VUm@s?*PJaBcc_7X^@^vgcCC&`J$`Uv!g%C`D!H$RNJD z2Ewn#I;q$KXIh&4-rU!C=vTSifrfl>I9Ua?pJ}f@2Z=aHdCcveBMtll!glc*lyFT* zodm-mNkh_N@m>2s&3={yUBKdonacdwg2I*G1RY57!#nq#gDAb61CglMvj0`|os--6 z3?sDED4Y%0({lnSRL6kM)}l4n8m(7R(e`7QhZ%@;peZ9{RlI8X6l4t4sd9;44|896 ztfvr^w~*_D6pOJuR6hpcD+aAZV%c;h^R`u)C)I?I04fFeESGG)6KUaM@TCQ(*t|Li z(W#aJ%>l3+c<2E9UP9Er@BCC}+cN{0waboykg{;GrT*9hKIbU&{&49HXk(4u!9lp@ za9<2M{7K{aa$5&47(gFwv|*|pjKwN@w6)#>*bLmn%Z(NJm?Io4b2k`o2^2-BAl?ND z@?29Q9A3)()p|K-#2|JIGh^%b6->RtHN+|BhX3N-Yzv>`Vg>Q++W2O}Z@p#`Xty9V zBClc97ve7{)TEvtz9&-43WZxO^vX$rsxxp|5Ck_yIbCK6v_K){U;maDf4yiWcoAg<2e`6yWUQgNkI1z=s&3J5eaM0c+e7~ci~W5g`WeolYxza z6$sx<`}vmaDtBfT6xk2ViQG&J=eoV^C74 zaACh6(*g<|%&w|Wr*YDtkNF)ot-KgCz0v045-D+OlU}Ha2AY2jldWJt!)a2 zHRe9Tm;21Ps;;Zh21C4t!eSXTjfUNVcfh3=)W5^TLD3F+1^D$~Q6MuKFKzGh3GdG7 zrPmcylFL(hXc1`UOHg(dJpOC9UvJ^rnNNBWoHb{dUz{yGRqsw08mOj6?mHhbi_r$) z)rY7f(EA@60C^*Ip;KaY%34-{C(Yv}s}4U=xv_#rH5q&MEOe(MTEMI9a&f?ZJV zf!iEtf2d^yO&zWMy3lcPgR8m$*7>ryn$Hmt$#Q=a@J^6>Bb*N{8zA>YLGu@#b)!VH z2#QqhrHD7R2QEfXr$tiLmoM>P3b@QI#O|3P5s6sa7%&4CTz+A0^T;snoUbHtCE?iP z18#7i1b(7oq7W~=4Rb=*gE+OCS0$`1mN7$#JiOw1!j?|y&`fbUQnt1We8}-7NF8f0 zgUr`r%N8iiY~6bX_(Hg=1ocgxePh3YFPwSH9Jqu9`$;56g^Q#@=ECapW}a~CfTl{+ zoEyiZy>X+ERmc3P#M)CIxhYU&|IWj zG~t*nVcl`Ege(xG+1X~*Ki$lT&x(teF&nLo0QO%hh_)4u`v)9 zGTP1IE*V4cx`2~@{sR=_K9g3yYCYxuM$5Dpjz?I=r$Rz*N@Qs2kd5vWJ6Q9 zwZ!2^DBAy)tR`l^{2QXmcF2j|=8feqb<2y_ShQ###jHRkB2`;cFDq4BCt!D^wn;Ad zB%2pAYNTz)8oz#hQqQag&rUHPgsUHF%`L^C-v%0Hi;D&9&cLB|_bNDLsWA#2wWuK$ zDP?2^sS;#>wY{)+?iIfAv(Tmj4Za~jd78c&iny={bbjGvDYF1P=(E^7WdYC!0y(L( z!y<4LwGuAIRwb>CnNuOGmrtkc+<(bKnK%p@4AknILV$z~DVX78gn)tT?C6DFF^Kh0 z%YZT;V>q#X$T{iC2ZJ;%0OpI`8SZqSi-piZZ5Jd44$A{tlp^8moxA1Rp%1ME!0Rv; zI>{hp2VxQ3ozr1kHs*tQgY3hxY8~*mQC@{I)b8;O-tDT`CCF2-J)`Z}!O%Uev19}C zHj2vS&O9oxu~3os`FhUxEYVUSBoO(}2P!cJA?p6JwWX+|(Ju#e)Pk}b%S4nP$b4Vk zV6L{Bm_Qd&)NLTd13)ZFY7WUO{1+xNp6m|=Kj~h$)Wa}20ot_w-MM|m4){I!)u}|F zwvY>h`#tJqt@rKDE46u))1p_~^HE!1MvA1! zYrP2M#%-KBsb>b#k-CKf`WNUsEE`6mBqU~lT7>hht$RNr78|f2z1bg%7CtQP7&Di# zHhj<@&`cG!2T%oTAzuQ@9m(L@6#t!KU`~zD%mhat5MW`e@iVM1bQRKwEb^=?pXNO6 zfOo@jcJal0B+sY<>I-puN&$EOr_&HCW*NT~pwHT{$}{XWgT%;uLV}YA3<<0cR#cZC z%ayhZ{su0w{;xOsEOM%78QpI0kE5-%xSP4%a4`o`5hAf5NVw`wLz@8TJCvaW*7zh+ zD?y=ILt#^&1(z41nindqd=tJU`c3F*pREapTu4TWl_)6c@fC+! zak2#RXV4eL+IU(3o#rcxxynK!ezcRk&p;xEG$O4?1E8Vp(Nm0y86Ts~?czldo#PEW zq>}441&pl-JxlKt-9D%Bv=NjHa%{rQ4lyz5cjm8 zyCLHDAPwGLIKAis2C4klcwwmQiid=3JtQ&`ZBBypmCn%;lt=0*eDkM>gWAi$iYlWI zr7iZxu5OJGNuB@t2-@@lf}umhP}pj7E08c`7~}aNYt>im<&&JqmS>mG49%g-y1W%&+ zdaZdb+xRseYOJ_`mXlh!DsJszIwkUIt_j+y&-=u``SWtl+MJy{K(BOVWW|R7~drPMZ&kOjo92u@gfgT&U$N&z3Mrhl4r>#8S zE&(X!0kmvM)Q7SLMPvE#J-E_CPxxpg=i8+wv5y%4F6xVJ-s-|(g9(1SGm?;QQ*6Yq zz4oSV@ZG&w%TQ?3l%4B$F9LUo$< zx#gOcriLhYJ0&`%hLDVt>om2Ya{?$%tl?MyULJQAaX>5M5}-zdE29nsUoRZbL%qhR zTc9wY(fIzNKGF$60kf&4aC2_wG)%;k3F`EVcwB&wcI}xj{n@ z9D9nPE`++b;YJ|T9Ps{Mj)1D0lKXr4v1KB<^+y2$UZt6(7?iwNUC>quO&U(Tev?*C z--$CxpSxfG7R@;xz+wci_R>?%ZyW?`PNl3F{7uWIl+k5l=f!b%=?p5U`*9~DcgW=^ z?#F0#2;MZ15f*$0Q!`-J0*)$98f`g7OUg0?CDq+q7ovqxH2^T%+^dbSDQ?J&l=z|9c znrQ}!(^m(0n}ITpkA5$a2*vACdgv-5Wxo}#V{QE`LC{Cbna;-Cg~W~5E`N>?MK`*c z+vzJ0oN#qHQgj0d$a?_Ih~0~!TyRkUy1j`t5X2mZ+nWIKY#oFQ!`l74YlE2^h!o<^ zZ=mubmiLc9W7h<-Py2Xi|Pi?iV7alZXQ+MH7X~Wj2;; z3qyKbsc`j#!EL~Bclq;`t=*stXLY0)A|%PZ_|xglDkrFT_6B$BFT0xD2^0s;ke&WSt~#F|Q(MGEw_?tnkc-{6bx?+yLi)pe)T`MuDWY35p^iW~0yQ|l zM~iyZ*(E+m^FVk2*%V)4a2N% z6q|=rh1m|v?&SV_T4T@TA+A1yy$)eMA(0oa4Il5c=4PZelgK)J(bf`%1yC*`H1ol;=|jE*IX+6fG>`au zEaVI*9nMUqy~Sd4 z5O-zTyXpG3R=HDN_sMVsrz09ewSTt)d$jcmTQupwuDdoo?2v7~)V$n{5x$uHy-E@i zyTN(&Ty#Te9x*pZRehFHu+ABkZ__1!|g5yhstUW3v8o`V(_R&)CL`crH`|`!_V6HgwAYXsi4@oRBYBDe|A^bb3be zyo_9yv3$fn=%N4@GmeN?CUtJhL}=JQtv9(oAWZp0#5+E4%HB?=HgEL?iMD zw{U$y&;q0W)jL`S+S9Nkrvc*;(=u>FeZJ(S>D1-0j(H=rIuWxfzLZxQ_3FMbDG3-0 zb&mi)KCp8f?R6Xri`uNbkuOeCnqtPItKEwLCQH>Z`CUiF`cf4Tc|2u09d4976dMBE z^DNFGrTpqIdbFo}pn_)3jMR^DBczNY~UgHKVXU8=*=S0VHi`OVSvX+C$$m?&n z;t13d;1l{DiNHquBeG+3=-tyOk3^K!A#p?%g)5q))B>^uX`4)}6&;#JrMlT=dh(yD zHCjd0+SJMJ-L6V41Y1B`{y@Nvr2h*p@%9Jlac0t*d;a!VE6r_w>vp7bskt+aD5_hCATBF(%g|)Mz3dd0t@^-3zN{KF(eZJ7GRP(YpQo?tj;+0u> zAXFStjcyZYbI+Pl^)}=}jeCBIvGRgxVSX~2^yDC%3-bCmgvI3a_YC>|0X6&oM9qGf z_y54W2g-lvH^A~T1i%;CvF;!TVsD4{!C*}cI7uXqb)M=-qIL!6hzeMS9V%fjiHZqL zlW3qxM!UQMrU^)-0k}W>t~4CludtkbCX^Qobwz5*W@6Rrebzwy9z@A!K-`o6w@9$= zt6|iEKw$-g9RznWXfAH;f!l|H)D86!WR*&I3?m@DBwoIpeZ~-;y{6xTrkBx~^vR}5 z4ff(?{&Oz*aN?SZw=nnuKq^^-0&0j_kYJ5g=^MeZqnTrIsIW``4Je?XxRNQFd{n`H zV=Ipt^wQp?#7ZPbj%>KMqlEF^CLt-zFI*zwH8!=>)UPdSiRF@g-Jd3cneh?%dG*s%JqMpnklem*M%SEF z=%HU&S99121<%W9p-k<7Awgex{2R0i!y}n+Juv!!UY(WSk>)GiVu$pZj^QegmqG0> zlstvOA!`z`DiY_If3u!IB_W+jKfTf~7uO2)BlScahRLq4AzlOMeli8kgpl9I)b!kl z@X$$8FbxJ&1FEi4C<*bI%0j7&_nA5UVDVg>-ftqPw2 delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bFR<%}mX=A5UVDVg>-gE()yx diff --git a/dev/_downloads/e07f3720dbc2048eb106de8a904dcfa9/plotting-25.pdf b/dev/_downloads/e07f3720dbc2048eb106de8a904dcfa9/plotting-25.pdf index 268a5f96dce884a7583a61c42193073324da7934..e8ae55406f4cc8ecb72bd9e9f016e3f96841bf48 100644 GIT binary patch literal 39808 zcmb5W2{e@bA2zO4rIHp)$?`~&eG3^Bp&}AxC&XB??|YjFQ6Ui~WXm#%vhQ2jCcA8t zbwUgV!;CTS_nsO0o%6ou{LlY9&pFN9bKmpbKFf7opU>dEeN9zJOjz;|Z|*QxPT3(b zE>SKg3%f%w7?+5ykFyn*h_bo6`9mi-m&k2%xRo21IJn^smx96}E5`@WjWYl9fU1+D zJC_9I1`&NN3p*=IcP?q_TNQ72H63?zcPlPQ>V@0p?(SBuj$BgE+e0EcHs%j(9pPM; zXrH<|S?XB1a~XkQuc?BmSb4j1iQI4iQ&6J)t4#a%2A9eIOh@ehUH~+2X!fpFV0P5$ zi`=ntbMkPt1nYt355~V`^}yC#$;lgxC<^|Qyd)|t!zCdpC432dy@)bc7;G;B^zruYX;?YJ-EFwUXd|lHJ_PIK5>b5!HsP9;rPBi|XxeV>u2$v_ zhrAObD%CsY%f49aDdr6b{XB(!(8>6_Z~n=dS0$QquU|is*i}x<$XHQlIvjYFd9BuP zqTw{tN7HlZ{G=f=fs>3SlMq`IK}0-x13{h&BKKDZ1QE5!6J`qtau=D1A}5kJIj;T?7$R zO~&9E$%Ht!h0wg7zAYDicJ5^1BGdXBx3(#Fz2%Pgt^9J)ipk_duy2T^w@*-}L?$zD zUDGiiADF*gZ*ynV`fpivT*~ISPDjdfKIHVpDrU6B&s8pASXrR>P%tdFGE@Y1QRI_O zQTPUv*~n>2&!m4wSJYxmRH2j}cEYCVuK(Yl zFiY8EL(H)&g$Ili_2i%bDSB0Gq>B$*u&5yO`+2NeRxM^#)Jb4Pr`7ytxVst4UZ(G3 zb?8H%*EU)mxgGI#!u@N;rF&1->y)0GEdJJUkItn`26rI&>D)*riS}kx>6ZDpnz6UP zNbNojtw)SYU&&%gc@e8zRV%M%;IQ<-FvO&azjo9tTpKf7PdMQ+JesN5YpSg{A$1q~ zC7*sNSZ(T5a$Ir!lz!MUPlr5Q?i04WnAq4nuEc47{P)GGn84#V%QzZXIAZZQ(NTId z{H0i9ZPfap@_>ks&4PP$1vC*X<~6MN&CQ>I)cc%A8DC4R9l1ncGV?t^ zuYA0_A!@xS8C$}GlS$%WSzcH1AJg^;razn67F8k>IKiglP!V*%`4n2KqE~i=41GUx zv0|80Au;8G;&`iXPayAXqVMF^)AfoV)iT_@=@;#r)jXjZV7=d-06fO*A=xq1Fz)Ouao@*z~~L?_ClQ9yCLPA965 zexYh}T$!xc;TMwNate`yROyY{0Jn)p{m%P_oo(NwZoFvnQS@?lTmcI@l{IVbGw66FM9#j;7YH*Ew^_ta-qZjF2~OX)48Fh+j5Y;OS>a#87U`4I}C76BDwn8ebZ=e>vUHU9%9Md>tk3pQJo_{3{Yi>;6eO1>iT)+s0~=k+8HlB0M9yZN zlv>KRvZ5;c>poIE61gZk+C19%GE?~})i_}63Yd(9eTywhZxhFKl@R%JA47*u$KJJJ z#lpQ=nsutFUt!9@sOLv&iCU+8dEn|=naMlK7l@h~>ZtE!1>PECWSV%?%Ua4=$(x(I zwcXj>6hX&*iT5IJoT#yJIN{v0(mZX0;OVIi8KjzZ3r1b zI*D1yKd+%!H)d*T@kjY5U_J5=2y9x}%p;UD)bnOV%5E6=ZO0{f!g|(zsq?DTeG>E# zXKtoE9b7lkDr%A5KUIsXd; zX4s@U^oY*kyTuGRiZ#~SU$$h8lchdVU!rK-a!UxQL^aLnSMKGa(1A}gRm9*Dzp~H_ zxZdS$t`o}@>P&iy49)d5Mc#JGvJ zE!fZ>C{F*4gH0y1fCT^}C;FU2@s=*V(2Z~izezAW=hz#&WNQ*}>&4BDn=<(!$ll_m zgIeENc)RYcaFPA|S(am;ui0S>7ntpnKT=~}$dYFnYZGTTX-Bq)uUEQ<R$g`_Qfn))#xbNfe5j%gso9*p$_L7 zw0^uLd)szbSFp(I2HQ4Xy+75(U-s#?gGFwk@%AJAQR`nc2g5lxgG5d|@}EhmBq)RtW7?n-jy7$Tnhc&Vc8iOJc zVuEbp-VwswNlPgO^??sr^{<1i>=1z9+bbY2Woj`&zVw7N>ra)TBZmfw*k1#&3eEx$8p5W{q^jyMgw0W5SEiscG%)w}Z#LSVb>`ihrlmCqz8GgNQaGWWaK0&W5e}%}~bG&s&OVtqV>>yZmwG+=alV z@iS)TZGyg%myV9CPo221m0uf*6fDw451f8`Vo3#_-C@Py-ZeHwSMfP3cf3bNac?Qd zeQWc$b7-~o06MZ)cCT?`KTgofweDJ?k2RnE?%}o1dk#U{pyCncDW*tCL2WRbliz2r zLM9pYTovRc1jbjunx!;{(+(lkWGSeTf5$yXDy?zw(D?IJzMSD%f4D=5fe(RW)x258I@W;WR`>7=z=P_SR5)}(s2 z><>Y>->Xw@W^YvI2KEMS?rh#tg#7Erw|=~PEvGPO$jRlMr@C1flct3vs%-W1NtLct z^td%y`NN_#M@ZjUhPp!483iyfi^z?@9?O=y{-vgu^xfq{B~ZElH)2He;m+F5KC)8d z8Z;e$r35)*W1tka7!_4gU?xvWTNCJW8viVV>^JT$AOooMeKAeq(RYelhDo%IOFj}S z{K(U`&Bm%f_%r!V>pZg4r{6vTyt9*^DR_F&2&{bo7~B`LMCWd8B#XAdKdt zIA-zr2+U{z-qPbgff`S-iN-5E2hL%qRoSIiv$dt}_C#Ll(K}kh5Z-bbedPJbv=-x{ zYvwsi_$gR0j?Jdk?iekAKR15Uw?|M=0pAU`9FuHTc83wjr;@$$3Js5$*?#Yl;IPa= z$uX-KHq5)~GU6^`nEPTw-ELJMJ>_NEtb1MUX5O^i9PpI{V(;JNw}=pA-sW@DcMK>t zrHxx3mbL8y9dm9i9y5u=`N@08Su6*MB;5&w>1pGL%m*>y-gQwjxQ4W*@xbm$@0cDuxf}ua57p|ACfs6d zI|dy*1Ba`6%AbmDP>=G3+Yd&SEGEL|K6McPrlcPm z=*tHIOeUD7dY%XcDX2v#cP%hsZ8XZWL9a3EmOxmdT?6x8@6n#(>*8mEFP*d(q&hv* z^RpovOz>pqBj>xF^6x~kzESrY1?%K3Ti#sHK=HmOdhj&>`?x46f`wPkMsB4*AchgWcNoqSMEY#U%WfLbeH#&n+kl_kvZi@ne+bk=Z4QY|9$cHKS%qf zkK^ByIee8OWxCs#eS7L&>Hmq3Qg7%wLfKH5P2viHiG?G`Sma$r;6kSshpeK3)ZGH1 zxVPj>C*@4Iw+yZMq&>t>!i!6%kKzt+Itw1%M-rJl4y5|Xo zYiuDN?9V7Mj-C@YqkHes{ApW}gwpC$7oH9!i1BB^=rK*a<`E#EFS$7nD)BoS2T7LL zvgwHb;9SG3t|9)ke*O@#uKKd*1acEK%RhdGV=$XM&YvW8E{OtHPjNKaUrbTi*@FdV z*`i4`z&kJ7iUcky7Jm_i4lU5D!Sy_5XE#LB6H9FsspctyZ(fawK&EjnStS**h-_jL zE>A-V7#-3Q@Xn-g2X>WC9gn60thRdZKOwH(qlT?iRJvYE9^O++flc*Hglqx7otYK3 zx^x*oqPY5DY3$ItMoDA)XL}+Qd3d3PJ!YYsc7ZT6No?=w8iU8nqkCSkGVDSFszr$JG3_ z`R1D#$hg1djQ}@znFh%jhsu@$&4)t%Sd+YNVSq3K?vWr9-|q^int#I`yH1LT5$B_@ z&@rJQ_Hj&_`xR3D!TLVNjfW^VeTY6&s0#u;st;`|pe|ad_uZ6-AaIh-cnDf_Ren#`&Q3fhh~Dsj16;c89JX{ zr4z{kG$lJIkoDkFi;~e-B9Dn%;-_d3C3Wwmm~Z;>Xml6?R-gf~f@<{OX~MTpZCVT?OY+#F54CbelE(X6)-T;}i&N<` z-TWP7S{niwxZi4X8um?<v8#7%)rR}B zay9DLv6_vmu0O8=3ZMZ|093iC800cr?jOgaqo@H0$OHXd9SMM7L0bT9M*WEp1(XwT zV|Ko#Nez^cv%W8?T~RUV6^MIKl&K?Exb#Cl7CtMIr=a-wHEqvLO^Re;{%u4&|-VVusf*T?T0rMilT|0Z>@MLY7Zg;U9{X_&jM`D!=9X z6}774&=!pO>*vW2Ct^;EB?hGWlkd0zI7-&3sFwQab0Yw8<2*}pTzT5$A8ag+zZh2e znm4ImBpNVF8>D8ZFi6k3s6rE{FnrXh4ww^%_*|l2!&ZchoyZW< zx%}sv@7&cyKYzIdd-!7Yy0NlfpA6i%v3Sit;Tnf29fSHT=FMC#{&_b$V`o6mV2e+6 zN_hX1^_$8W$xHsv*}rIpmzYG(nww7b)RiB1$v4N${d}3}_x887aT1#Ns2tWG>zUX) z6;|-sd2{7(djY>WiDH+U>g=aiz`?Asu#pbrBU0HR;C9z|3Zv(iPp^M6P0sYJjK$Lr zN4|SHG$^8067uqw#uMb_hrZi$Q$z9Z$>tS033bI!$PjJfw=&1(wLiqC&VXDIGd^vh zqU~Kq>)OVNA3ntz2g1rRV##dxI@|G`uH9d`wrs7_b27pPA5YtNB@P~qJ+6D<^vaK2 zTj!PxuU?oxor8a&k6Q>dv;|v^xD`W`gO6QiwGiZgmS+UvBQ|}M@jJCflS)2^)yCBtweprprT_)MJ z@N7La)R_>}bNcIjMeftsjpD^s9EC~#J z7iJX50u*tOl^UD!PwjQvXO@3=*>^P@;*|W*kL8dX^=dSuM{vq7; zQz3n?AEYpYjyd+hRRWXR>WYrx!ZF$$8GDQ6jsFuS%#>EUJ z2X=M*sDtPj($%IH!Eyg~Te-|lH`q-A-O@%FXLWTL<>(3O=RmrOD6W-Z|!;E*zdk<&A$&Qdbvz&hn6hFI#x6fZV@(Ma$k=DE#GT;hOFuF zSNA1NAo`k)i8by5JOdVG`Pq9n2r=btGbY+VrJxiKlD@(ikA{I%JPRFEqMv@yf00DQ zyx#ho$Td#S8`q5g>XlK9z_Oyu9kus?G##w)Fe8%#EJ6|{xUvqSK9uY3WRL!X&2EQ# z?E(7-88mqVUD*z~sa#$)<98(EuTiH#^T39F4)M(=&3C%uA#CN*7uR91()~r<5Z|f7#LtI$l41UVAO{+w#cnm?f(FPsJmUJuzs@q>EJ&tSB+vr zcp9r$eRgt?)VHyNq8jtN0c6cVz#9)gyx9~{_{ow};{jqhOVwYS%Rz;48N(#qrgwTU zN1j8BSlyX-ouUW;iJrIkHeWjxvjlBnZ@?%>p<>HDk@qW6USW7!b3+wAdnY1aq!&~c zNG4Qp-UNIZ;FREyCF3CjzWE)@Q&dUIZOH#nQ8&`5*-T^;h1^HWW;mt}g+D6*$5NHo z-1IC@a|*7BCs(%HQpB89>A1Q|Q4z5B(0-2vIU)_Au`sJ~Y4|~0t?>dt_k0k#$9xl} zfMB!8xl_k^sYDl|QOcK_G4(>*-+I=Os+5^AvY1q%%{rhM@v(BfHb`;d&=Q3l@HC;h zeA^B!)}?}QIl;SnD}4x@7Y}q^M15qVL;E{-Lmx!S1B}sGa7N+K!(>==1O>|!^Gx1p zhNn2bgcvXR(w2eg4Txlkg120Ga;saBFg0?@**eOk5*6Y7l$hnVs>z!nn z#et1MWusNEWJ7m_e+Gw0qF7}rVaTVlQVWzDslWwBbfB&bdo+j{(FK%bXj>S_#I{RR zZji~pP%3t@d-p>l-7eIB&a3dO=x_fy_FaG9sk8-4bc85Vhdn+7SIRF})B2ySi0Lds zt()7_z$RzS-s1S1_vciGb6;Odi{HdP_TDpeJodz0)A5bst-5)-A>J<2B4@N8?7QWBp@7(cP8&gu`2vlxj<4Elu8=1i(R7?@C6z5jI7`4Tp zHx-yoNgs5PoAn7ek8Qa;B|e%IGH11}s8yy=IwHy`Pa-e{_Iy2wGwXYOw19NnZ&U;y zF%uf#eJAlpaPZybh7-Tv$D(HHQd|!)%r*`wWaixbp5bmaK+vj9gAD_JB7wH zE>r}GK*4tE%`yT*fYq&@(tipRj*(9372FsW0GKM&hYovQI$V0l+U&{s<33DeSc;eL z-!l`J*Xo$;mr&5+uwV9!%Ff5|ncbaG-spIH9?z5sky&A#O1mbMi zr%gj%fD6LCt>ViyKL?3i>o#s|#^;SxCMfVZRdeFZJ75vjR>yyT!;DM=>RY6T`6>Js zpmmDOvv^U~fFhm>jCxCxk8t656nfH#W@pPS%0JAnFHD6#9T~=t=_9ZsnV$|eg;+GN zM$F*%C^yg_nLxdGNmmRTS9(khTqox(0vq&3RPQ-G>E;sH@1lEn?t#CDO45&f%}@!g zlH`M}!emvR&Txde^o_Yph5bN1L;wkC zsQ#NA)fFgHVj*P^47`6{Sk0q%F^>8J?@`1N8n>RW`v>{K#rBqXa2%7kO(}3CBBz_v z7C{&diMU)4(tZ#~O0JUF!PNu=j__atjS0v!Zp8e>Nw{VOOeAd(VvB1*!AauVit#@9 z@LEidh+OX^1CA+qMds~VEk)_!uJf>#+5b5=G0#b&(3lY%Dn z(a|PQ5z11VN2PX@hRizw)Pc=R9roXpGqZJ^=S!Cse>Nv1@QM*^%0v=fvHai77u18I zq;j*hGx4MskvjJn$Fn#(QCUILtKqmy<89qugtth1ee#AhUl8-mdGClw?q+x_3DyyK zSCe_`++j0%wFCH2$LF_h{5?_@c<1oOO=UUWqem=mFu_L}g~K*3h$U`eQ*%l^mKNZl zcTjT8IQ^vZ|p6gwJ*abtkcfBSY z!*33~kSdM}PVlelyLT9vzM^#N0q52U!agsI{Kf>4_Musle14?2AXfd7*eeQC7$GxaRA z0=8xmaSxn#1R1XtY%h2iCPt|&eKkWdl+V`N zsQIUJ>!7?5W+B8AvEoAG;o=m8b4G=hOd< zmol;PAwb=c$-*ALt;S-_)E!; z9e%t!-jh^6W31!&2!cTuK+<0|j9gE>4uuCyUlL7n!9LCYjg33!N;MVJ zb+l0g1s7E--g%g=OOsy!;K{oc&JZ2Hp93vQ(?6{?uML`7$W7JvG)M> zF~WPdabu98GV>H2$nJL>uU1wpT7Vdjw#uwzKA@ z)u0NL%HcuxV$W`$(LMW?rXH&_?FxY{5t6@e_+2{aHq8W!DSVFp?cL&_wFc)Dh=+_? z8+3QHMag`^v~{9ISdv|Hw%k`z0;}^A5`9?l0l7idZ7xaDS~#QFBYAsE!eY62dj7-|k00i@E5jqwTiRTVFAOPp*?BEpAVL4_H1G z#K-Qn@=Z}h4`I$WBBCsoK@?lljm&QqI^+NIvqduC5lHV)h^gC5pWXP8`BV5=E+ON1 zXK84-rdBqiCkfddz_}lWlISQ2)2dxn#*XDB_Dd%T(&A4)Pfvo8q%2M}kfZ%>kVv;y z>3lZ)AlpQG@Y*MK!&R$&`YUX5ACjGS4_~HhyhKwiN}a|7Jhh_+<5ZHq*RM%6#H%6N zdrJ{X?VTPg@^U;|2Ft&c1EcmAdlvN--!-x042V!DwBZIjk zf+y?Y*{h~!-hh0?S(KV`t`b_TE1~^R(Vj>95>1 z#RB6Kb?9I4=goiYljb5AHQ`ketP(d6@Hlspe{OHuNzTB+<%6*W7DFpP?87tdkEu7S zS!(ib@#?b5)iEWZq|EIuHu)EhUsG3*s0kN8pclfvO1Pd{uPb@`tk^TgbKV01@0ss& zYrk7d4JOV#e53*odg+y2O5}Bvc<6o?@jMgf-dLltJchrLDtn2yvKZOFj|;e+=3`~I zsu;Q<6DiN!0W-MYd65U2nI4Bn4*5PXT=iPm<1K^dhb8M}c0MIy_Z||B3pMxm%pXSc zC74_OL=*I3h|y^ci3zBhutE5oD_v@`HJ~pR8{Z+NFBUpsk!;Sk%kiX0^EV1T{WEC` zzX^Dt?}2_>?|};}E`6iF+D`*N34gDE3ag?xaG(x9JLz&)lia~~R2D$aow1~}Y6P6@ z%p{;TZ$pi36#dpuq?Q(E(h)XKchuL?5OXT(<|LlVM(lwaIH<7Ok8zLN7(f${I(bNr zg1|Y6SBlIAqJcV3?XbWfeN3fCh#_=|2GDJ(Kt2~vk!mrkc*SIeM5s1H6|f6AsCsE; z;90ChR@T4lk!S8g!!5+M=Z}F`oC1xD+UfIdc6!(SIuQhujZ2^T*(5r097hrGKD&nY z-L?{j-x0x{w9JYAT$M4dCO_UPPANa&4^p$8|3~KliEBIA&ab#-yp6i~c-o~pPFhQkR?Uye`|W;3(= z7bpoHasKTrF8;XD;blvhoydmQt~0QFnSQk^T^5>BT7NYWc;t2lGp$H1CWN%hu7iY#eEpWMx8hkv?wK|3rh*a>#@>p@_eTFTL)0 zg9+#PqufdqPfC@A@z$iiNhV+9>BAT;@Eq69)el;qbBJP|-rak@jOGSY0*?Z@}X z6IDq6N5NxdDX!DQUPXZkZH;I~8Pw;9NHwxirIWj-u{xT3ra>u{7oS@f{`bVJ2Vzd*hy0kJP-p9-Y{{{jcu3_kA?w0A=Nf<6`g`WKMb`FD z3vuNq4c+!zA0KfQCs^KMh7mO1~JY1Ax|jt0#b@j;>Tp- zm37@+T7r3;kF!BT(AHx4FWbl?Hx!iIYUxAujt}xX%e?UC-}Oy^+n6h6GwB5#$GJmM z@KW0%=OFlhk4mq>m}iy4QFis96J-1#c^Zk5xMC;J^sH`I;JL+5m>$8W5#!d+s~jv9 z$G<#|pQzvXGm-9FUFHjb{Esbnj`6F@W5dXgV?Si>C~I#iu!I%Nu%6J&IpMI;Lx&{1 z@cdT$xv}ad9dqo*zI>BOpNY#7(?^kZq1e79qndLHt#*V(z;bNt{o*w-6-}>|C9NXk{{ErT}?1!}|&#jDX%gauW*; z@G04S<^2cvem9NR0SF9=gAy7vsO#3Tq)-ZFB&sqw)JVha0%H}KR-o!I3g$rajkwu>B1urCcN$EP*s6q6QvTT_DQUeLwHca!Hjkr?rN;~ znSr-iiMW=DPJEWL;?t(TbjX{OK#O&-+zGTVY2`Yer0mh^BXR$*{LjJ?5E!8n{b+9? z71rnA#H|0xsOp{6%>d!mt&0|3v4i>YBH|N3C-;D=fz_OukGwx$(2(n_BPpOCK@2uF zlV^=wist0osg?PBsoUOFT*Pylv`8FE|3CtC@^s|f;IU=JJe0QmExfuR=;ezPDkYYg zOfV5-FdF-<-yF=Sv>6i)xTF2#aqwjA*R!izD<3SH6tPC1)(qY%4_x}GYVze2jI&0S zZST#es#tobc>QwL%*!Ask>!7+N`q&{T z46-Lbwwaz*zVImi9KQQ6cG{tOCG*WVsVfU)DDwV88=)yC(!X|DlKok&fBH{~ai&&e z?_&PNd*;l?an&guSdFLLLFpjJtZb+B(0A(?&b87&A)SF&EAh5J`WbJDQC9XF@i-hF zLBb8fuUDHn;}yUDMOqz7uw)aunBV+0@UB3^(`)8~FF1xt&WHGw1Ba5Go z*X>ifQEIw5d1Uhj!QiKvR%t0i$iOD4<1<)O@HsOlWxM@b=L&BgU_Ow*b8#1I(Xx8! z387&#H#)GLpS4~!oW)2n3U1p{q^xn2yoKO7PK7iSJ`>7yD-+{{Cwxuc9%vjqbh3S8 zm~JTc)!pB^U3{w;15KyjTH+>?X(Nr-zv-{%OX-8I#YBi;8@SMP2P{wJ?QlG;sRKnq zKcSx}5h_`kb z>jaAf(gxC+DsA-N86j;c?hyUT)A0M|5PgUzn#2`?CM+2!Ru(G2sc72F)sviD!T z!T0R+Q!vMHmMt%B28yJBRD0MF_hDyD1MQtCB%EWgv$r2;0ZCnel#sCl1DV&hsbF=E z9~6c`b!FZe9)XX0T|(`t0b$ldp^YAJb{23F7M$BBfjFf|?IKwxbgO$&l;WMOH; zoiXW(sPV9loV%M+tI#Gj#-7ZfafW!ZNpsQq+!7q-+ij0Pt~^dfawGbkEyJ4s^l0LV z8t7nq1ugKPN4zT0Kiqci1bA0Bf}is>T#q$AYieAsfb0r6O4{o@imp#I zXA|oCTtBwJQpzI;?v(3%DrbUqZuSP>0bZ8_e1J8(e8KcI5-B1-vp@2uj`lHr*3Q}+taNM)&-y!) z=la(POed8QpUh;E@-onpUeB9t&d)^u^baTj+)}(23RT&rdD7Iasv9xH{isXL(G80J z%2uOFoO60K_U$A;3&~f&r*zLM> z@ICXQ$des#^M-MyQ~+lr$mLfow%I0p7mX65QjFd9gT{XjuN52rgvzN-^r%!y|ZS!`1cErjyC+p z*e^=n&J;8?!e`dlEO~F)oICzLlu9cPdyVYgOAQTmCX7LAS%(W=IVZMm_`RQwNC^9D zf4H$`SnSSVnANyvVu7)mbdz_&k$Hlww`?(752xc*tcbzv03Cg>{?nDSgZ5fV4C`HqM5M$j)ZP zwTD{@jcrrOY%|V<)`7%B!2o`=_g0!TN^1lw0h8bA3GnQ4EfEoLYdN`>=|*-nrW_3@zU*aYTz1kBwdqB7GgaW_PR?`5SPKTzURO{eplY?WsQ_l4| zCr>;l16cOXGc~xJ9W&#~5tYHn0454(Q)G4KLoP~0Soxiwa_KsK<8|A!0u=#?{*^@A zijn|*ne*T=di?4S3F(DF&h6My>l1#YtpJ>?Ic~20pAh3J?^wD5j34&WSc)0~q!~4!*QtkoPcj_lI+W(+P9q#}T zI{)rcS}8H!^UOd@R!nzUy-VMk;1ecF05$RAYjk4KZQ!LkUcxp+|K`bzJe!3;`1~=Eb47Q()^C-hY99P-z~!Lo zhA-5;e_vReGMs^+sAwESz7WKu-qY*R8lun*5=g0?s~nX1d{}VZG7Xc?0%SP~)Sd|j zOtmor(B$<<`ONnT{LtjVRe>7HRhx_|JqE7HC$GEi{mlvJKPXB%46Rv%r148^>JYRO zcdJi$Y6u0lNavJdWdden)Ff)GU5ZW!G@@qd8tQ=EznB{LvZb?_{u$$Gk-l!g@0G9ej*-`Mb>q< zHo)2$yngiOygDKXQirLeTlw6O$e3@yo(5Xt+Ysz8c0NWkRZ~v=Zu_;}5`dNiAq4;K zRa5>n&8G8Z69fP5c!k2n{QN85_a5rHd`G7BS96A?h@0R^%J(;;^)xImiGp*0Mn05Y zQV=K0{D!eyL1(>k$}8;F4R!pHd!bN;{AaxM*q1yrIR_SGOQpMwVKa>TFP z$EAR^L~IRX!Bqsdw8>3-C+!RIgFQOXLJEp15%R%~VWh_y6x|`v?lm+!%lb)u08hOZH$pYm3GfC;Fd%>5 zz6zoMxVjw${@+)5FNwxw9h9u~kxC9W(>fUUfOdRx?6t+0g&PmiK(a}Gf1LLo2Cy=q zNe6hp59f?CW3@VT%a-q+x6ZAv_x3P^P(I3zdSThJ10)NucU^{4WN4;i@7^9Icd}V2 z6?lV$7pL_!?(%mrnu5@g{<8SFEY0)Qn5+ea4Bp9}hYBHbrHS<=$}SX-EpjfN%M+V8 z+E_pZ@*`^R__HwDd$(nXM*N94R0?aopiuX)Ur&mgHpfD_Udt1^DU&3XPOR?lQ;_8c z=PLmbfU}mIug~ondLzc0MfAIPrDWGPhK~RW=F2KduRy{Y#Qllh-p-@r^w0LdRfpsmv*jhz3;Ig@JpuW z=`RGFFQVmCkDx;JJ=MowpfURZ^M`>qkh`7y{=R;g?meLWT(4j!40k*Xtdiz;Xs{kC zTJk|dS3%H*ym9+p;7i-<`G2o6XrcOsPzFLtXE1DP6s}}{f8jRBfr@y!a>+$L^L0OW zFQr?J62;GGd26#xllz-}M&9VFfaXKHyzhLMkwDz~)OixdIhHGRFEkhgAwFMc7BfQP z+3~Bu-mfuu$r`sg`p@yzD*@j=Azz{snSMEx9{3Y@4Pt76%hFUmMVDb-@NKBldFc?8 zecR^d+(5079J^Uv>*DX*6x4GzK=RC;r=aUGsf@=@E$ceKMqE&C(OiW+rCR>ha5iJI zdf=!a-6CH+fP2gf18R)(50EX__n9{%a5A6 z6smW^F!$UfAPoMb3?wmz)x^Q6PE$#}OhW`Rpe_40#G?_HS6oy$Ep;{GEkK@1$RRd< zOy;0fFUm}{`mJ~H=7;2Z*$PRM+d5*?@B23cVy?W~^(`zdPoI0CF!}hK$EB74=C(F~ zU$dZ06CNvu0J9Wm__505CMoI_5%bL=xFk5R_tSo$pm*I9Jb~}@A^3?&)F70>VVxT9 zQk%|Z9dM60m??#G`YtL}lS8oKGb|xK_+a*0i@x9$$i09#3?uc$lmR-(NCJ-Cyn4Cs zc@}kh&-iJD99W|4F1=S}$JMeoicleFWYg&Wf4nuGk16p^{AVd6u;6G9#)K~Jw@Cd8 z27pz-G$Djz_YbS^|3f(R+X!b&meOF@GPJZd(X>0~_b8IX!Df|`!a zQBYJL09^mFVHtXwuEGXPbk`d%p_=XFjrdBp?c(IVJ)$IFpAhgq;kL((z8(#lHHLd& zI&OQwkJC=}d^c*Cq#H_qWiYOb%fHC_&ft9bG0A4jBK;p1-~{<2bkt0NkVAyvI;}Jm z8=pa@p7AHgY5%3OMLI4HrO#3u=!SYb0mLi*JHDEr8%pCk3eL!WIM=pFWMY`tFV9H( z%rVGYuZs;7H<|#l$1M?SR8DUP;v{9ye(alF+w?;0N|@B;?Qqbn@G02+c0^2H!PDYP zWFyV}-eVs;8aJ-PbND~`Q|2J)W)_7`sz!8N-A=o{4IVAQGzn)M?IP8ag@*h6;K<^ctD84QSHtav z4RNdQEeZx|KSxZ5-$uXLJN;A@h@n6RDFZKQx~R)P8N_wh^wW@~7}r+Qd{t3LpHZnj z)IM(Ts~jKz88EVWSfC2;n{VqaCSO0x;HV00W#aw&<{O{2;5JutbwwZEOkUj^&hV1j zxs>{(aeleE=}A7**&kt7{k0FXsf?@2x3V#_fNB)fY`<@RxCG+_DdtR&6Vv$`2UKAT zrQeO(AZpg5Y@PHSC+Kot7=~>ljmw@yyh;26x}D-NNs&g|;%R&|^pbQ%mHc7Lzu!ZY z6Lgb83w0v%L>42zmq)M!_JKdwLqtT(KlwIMei{fkOt5DX{emoVti|%E)MwPH5dUD~ zCaC#y7iv!W^j-TW_MT!U!_XgR%U-gNtXlBN(pwrg#wiqq-|dLm)^^BkrGi^N4-^wg z`fe)uBvHqeq4GPB3Ih<{uMA&3P;IGYJWPEYy1}zssh#(ACmqY-0i)dF7E& zve(A`<*y;%X4x69K^?vF4|-n6qXwBK)4(}}agu`gjyI@9P0wDFdKtHcz4oMJQ3G)( zH7PT=DI`1@?tYk3x7*BN3BTcX@vS=~GUZ#hUZ)Fs^DB(4HdwOgFY{3^g0KALJ=?@- zw%q*&wNT`R=26$&ajx*pYCXjrR46Ie%PdNRnCko+g4Cdb$llKx!+O8`GNdmmAQpmh zI=5Z0Kg`jSN~ID?aW2p2PVI*VX|Ww4^^77f^fEd=(%aVs$r(RF<~rFP(EtJxHDV$s zUL$aDzGoydaQQ`NHfZ0?* zR1ssqngt&*+Qmo`)=;gQjjIQ&7y8N-2bfSHo<# zw}r%Hta$JNgvY0f9Q!lH0#38j1Fd;Cgs9?vTfR8P2+|Ie;oI_xN>;3O4%)7V$e4WeMz|#0i`A@~ze zzs+Ia6k0i%r&x<&*sgd=|CMQ`4GYxVjuQ+t8Sd5ZxX|Cis<)K8<)zZPtze_O-ad}E zqNodq;Pc_(U90E$EcFHkbwfczrCoQb_ZZwHY90Ipg)zI|>+J#O9Q3HvB}zN7jU457 zMciqce|`GUqMWdZ%<(SLbT~hV6LyK)B`+_Bj`48tyDAJxVg+NwI6jQaV=zG`+h$|8 z>RV1tDEliuog5haJn(c!!fmAAk#LWIQdqsW=7O)`YtVI%Rf_nZRaNCeE$bMAHw7h& zq8tQSvPfRt+bNUSg7r)Y`!FxVUpI_<&VS0zg6nIAxgJxSN=$i6JZq@q7(>oSQEGX^ zPs-l>Vk!>jF8rQ7ZIU4-S}2;F?=ao5LUs6scMLCo7m&4Hy1sbs zGK3S%ptk0M$V>SV9Cu+yDaPdJ7ZBw=nFfdUO>qz%R%J=--LH?b@o>Q`d>8f`8hf(_ z;m$Ja~wG>)` zWWsD{d{eneYu2@NRxsRFy-34IkdCT>fz7o;ihm{dCCBVQEvDOmBxVM@o4LReYy z+!LrvCDWrh@Y(a(5t@9@fM1olYR3U8I~2|QM|02rY46M9p{+MCIvBg({mhK&bI$pGKELJr zd;R|T@p@j*Gtb=1bzk>&U)TG(?q&8?(^T3HVt({>!y0sc188KHD`LU<3~db*#=D{# zOH!$BJr}h&f{IUC_B)@*a2&+v8lQ$R{Dyw_my6a`G?b8hJGXF_*9b}X0{q>vMoS|h z3?OrOxmy|=Hm$89?@cwK`rWEG{Lx13HGhGfbR-pz#1dk8E|&Zbc}^EpbPg~A04>eY zgl;_>NRJKYO(;cpz3U-D@m#uI;v@%FF{(+4X3O58L-u;|N6HIIvsJOBT_s1;bCW}m ze!iIxI|@g!<{7w6Y>kt2eEMf*%ohT*A^ee~J z^u|r5@0-tO?ja#ZE?P}+9dmgv<)K&#>rX0Cfh43QsbTJUQ9{EXV2Xqf@^pX=zIxyW zO)JiB{f!#=NSp2>B7NkSUQI0VOV=<0ha_Y}QzbO1KAKfe#-=s&fSAAhh2nD4%jtV2 zfkKY?tb<(iHP&E8`;WH+;6y2(*xqU4Zoe8aBCtq5cb=*%65Cc^2-mdai|*JO zmEn7Sy)UHoZDm@()u`T%XS{{lzS2f7Q)*e(NupQ6bbYg;Nb&nJCIxejW|4H$((<&#Ca<#7k(-RB+ZMUPc&;A6rXHlNe02Q?G&z^gOY@TBn*lgn#z8aS7UzVW z;x{(hkc$nl09ZvIMU!;nhivu(F3q28S)RI1*P7s9hx%<>C0-c4+|NCGku!s7+5tV; z^gGUZ-?{?#)vwyh=L=8C-xW$W$OUu8{8a%pDuJ);vzo#wKv`o&tHT5r6l3rbo#NEh z=wpSqOQ}qvGCuEW$nfx*y-;%hWW@H5V#EMb zZrZwmp^tkVz!nQtjr*S|-Dx#}_AfhCTiLeHV{%Gfi`|x++;;v{6IzKQ>tNx{V7H&Z zwAkEbS{>|rvL0-b703X)mWa8(oxEZ?7x{#KB;zcl6ax-SQCD=VzaY9@5N3K-BiZkW z$XA+&7n=Pt@81lvw?q(GSrYRNi}5GMl>VZEy!Se?HM%1 z=IC0Xr@W$cpy}hLuJ_FvnR}K6Q^%L&SSwj}jJF1^@*aEN*Y(6!8KYe?;+UaG%Iw2*yMEJ|%)&KWF!BxEhpx?c(%G#>$O}DW&#vKaNj%+OB8Z z_Jw{LipV>4f;WAWuL33h5rGnT`3PeaMDt4%PC?tXpRI9gJ85m~-s!`tKA)6k6ujn+ zNIwLQG=$D&u~-;uhK-Kd2GbYZ@jX03zDC+u14nS;dw`{Fy?;^h_-tN~F4%11y5dyP z>tbZ!z+`(H8h3Vj32!rJ6?BY7>|HNgA>Pc0qX@@(HG=#(lv2xz)q6H&yIe zh1vU4_D|D}BUv=(OCC-*1+9X9wq&Ng5>%l%y1Bp!3i^tp7W%gH;lKjL?e`10FGMhQ zr(oCc^-AV0FL>W2Vr!uD4|CTQ?P*i*DI`8vU(>#-jV0<8m?nG?FI=U4)iqJ8rDed5NQi)^w9pGR&AJp4g&!CrGoH<@o z%?O$F1)tk^?B@gII8O2-4Wp)t{d+&Mew42W^|gKYl3V?r+SzJ91TlHx_>qtymHRkw zlC6TsT8a}uAYQ_En$cr3Rv9%GP#5N(afSWo(sk#s^a7(GXC6*e;4xC^^3Q(!0ZGw&`&S{MN zURKu~4q~$={fz=kmvz;nF@^XnUYJn&ouL!~u(dNQi&z-EQbw@ZSd&0zi+r!X>JJmN zAy%!L+)CoB9c+y3zF+}tGu%5zZ*TehMcxl@m50z0K zor6w1Qnd>PM+ac5Ial>+E-R-}<9J6Z1s9N&g21hoJJA_HwCZYw2;jLo1Qo zS8uT1hq@xAsn&OBUdc}iK-UvZEnzrg*(x*N-sPP}fdqk6vU}gvX?`WXUh3YJD#Dy! z;||zh#}lsMne{N2hFop>Cg8|J+;gMg^ee>4-~n)8!WK&J5N!!7Gc4&0bgrI%T_$dV zU7lwkZ5;&}6l~XFkG!5`xuUp=G83E)HE{AOh;D5QX7dJT@+lN5)7Ixc)9n>a-|=|@ z+4g?rB!Mp??Lf6MA}vy%)ELQ$b*g^faRFMLfxnFU-OM+2nVDobkf}td>Vbi7dG_&s z-_)>qf$XbSubf&qbg!6_r1TjFbv0O2l@&kJoO}HYH_G0#YbuXYE0Y^dRM7(PIOV)^(zu6MmC7LHyxbZTCPB!Rvzy5$6L|gH#nYlq-(SAb~L~+4hSu zRLXuzB%fuY=3fL}T3^6+uAULIEh&ptyq`Q~`%;WrIay6?Z!b_5r|ZaW3Ci z5^wd8#!Q3`&i3@};hUHBmIyDHFp7}Z4tmiSLmg$?H%L2E=w8EIs_}=saET8z4JST3 z0=9EOyAwvD!&uhvueL+Sp{mar@l~$=kqY*K&<^~;JW*0PeT2SdjXHMQjB8_uLZ7G8 zyMwfS2{=Oga6-n9eI`mu*>iYFZhB$yTuYLM8`{p2IN&4+9V**2HrcZB`Rwx_CrXj7 zDLX!=m)5|()HYr&A+WL34pZyfQ$br+l(vMMFFwDqcOuyB6kA0V%K$i3OTCS{wF7KN z%i8fd>n=1icAn%YQw&Zz&=skOyL8sUI~MHHi~*-I14ff;?i*En1fn(19 z7H%g)15K)~U&ic*Z!F)Fc$g{(`g%B^VV=Zo2e;kksNQs#OXEb3Pv4M4(AoWw5;~i^$FJs)a*I;^)ekFar#(J=UNmj= zM38JdSCiJF8theEPML#ZvCZwl3F(of^fIm9AiL!4AJW1__`AC18!eqA-?+!}1 zaAA(DG~%lb^}3dJQQs}W<5+M)*nqCog&wODmoL+^Kg~jCM}VEH^xT^F8huNxtLOz2 z;`c<(3T6#CyLBOh`Sy^%7n)6nzZqMZaIfbc!(s*;o943=Da++Efjhmc4D|xyDk*S%=AyUK|7z8!=d+lRLfXWM3ce3s790=p z)osb+=F9bb%Wp-VvKlFlo8$ZRu24{6@gzpG*L-K$M}63x@x-Ev|zAWb*6iq=Zgeo zaQLi(%b@0J{U~4!`)cD7tKY<$THuVC&m5Di%!9=V!Tz)$KHq9e@m;cO2UKKXeF$E| zIZ#pfsCcnG;pMKUYvmES?;1UyE=s#Otw_mRq?e_;%sms)GO4C|sKHudomjqUS3eJR z!5Y;uEx4{@yABTA)NHj) zlhfvk%|j&%yL}!o6{4R~hBbA>JHz%W;T$GP3YH9&$mhAiR&ig zn~*Hah|>8P(6YeF+n>TgH^=+Eb&vSE`TVCmmk;@2yi%L-qQo*Wa_x?*H;EB_EP`fv zlbc7WwNmwpj}BvbD^K@XcYEpGoJt{=hrJ#IoKZ*DdjjJmO7xzrTJ$m=`%Wcuw1Z68 z#>HhM&roV5)C;G}VV<|oWF%(ybBK4wBMx_2th{M28*Idpi@RjsT8`8L;>+4?5h{GOYQJ+JM>z;(Z^teKb z{J?h3_hIYSO(WH~K4%Z5Lr<#x%X9qepUzLe$`1?YtZ=oy*rY%`edV1w#z#@lJ>D!Y zx_Ie=1m4`N&tt&KFKeE4inPcM29fv}**kbI7?I!*fXu!-VY9*mph&RRm+zQG_7*d% z<~Q@~&MD$AC*|7Aj3QEeG}&tQHDn*>P|Bxj^2rGW`zysq^Pd-UvB7rNmP^>_@4slr zZ|;tAyHYVG6;3^%AA8}?QNhdAR4cU|xp#C}$Lml+Y_HAx*g@|NvUa>?H&S#N49;1% z0Rv2NA08N+azA*z@vD3|^i|}=cv;Ml=2g)pE zM2&k+7|pJpJWClp@Vw~Bhg3TYj7y`dpTL^$c^}^{Zc2NL%fPv1cE?)O>8=hwh4L9c zixsjuyOByk;dlgwN>Si(>GgasIGVOH$o;1uC1#o3$P;{(h*?_W*-z7UM}yacR!_0m z;j8Z_kGlknWIu#8uF~{%N`+eoe=#LQ5D=D>TjoSu8J;>uRjr~cniEUxB9?+j&vSZ! z;`f3%4z-3_(G6Wi(0T10wm)>e1h<>OUfDUEY0AlN zN-do8)vqo**wxT}iZ|w1z1yON;ES~H&*K8i-`pBwH?oGBTQS64`{)A?jnixXTrDKe zgw^m2bXUoIqua7vsoY6J&4Bna-tvaz2TobvWGn+(;{0+?3*8s%yU_Wdu|AH178hso zCEFVZR*kCgZPAh#=<*u3brSFio68~exk6Qn=TbS&kzFvDap;`e+)N8j1#i3&TT8bN&qY11RCYa%W`Ezg>PwGHOsTeG=5 zpT%)sF;k`NiK#aXdtjOAVM@YK`iQv5`W)skoR9xj7 zG`$cjM>E+IY?yNG1DEux@85yCT93c>P66F^9mfZn73JO(MsD)rnT( zwds9$OCB2F4c`Yn-DSwAi;h6RKU?Id4n4df)tk2+bmiphWx<1lz!+Ob2^KGN$jMq0 zbPxdiud|09^*~~nMWG(9PY<*hcuF^hfQB$1S2HG6Y`zzGv6pr5 z3E^I{W$#7*E7XHsCGCwp(YbwmOx;sucH(bN@h<<44#8O??h9sxI!|^YgD0*(;uP}D1BLColNcr< zo($V@hK?Opha{AW)RST7#m3E-%CFvcG-Eg1+>3Rdyujh3Xy!H8yi7M2e$NppunZ6M zK)^?{SYuu@HWE>W*b#W{b`kgMGAGQU0WXZxrD)V)awcBz_OT%o0FwaXXjJvhnSSF` z1NH!mHpM*(z0>4#N_4Rmzk*#idEOn3rgWG5fg5?%(Mq|+4H>)S?0OuvrU01Oenhd; z%IhiC#4p9(TJJc8OE!6=nRuIYT^5?TBd$S{2w_w40nNZZ7o0E$i?M+oSGD2kfSkiq zFGKgMC)-anN8siq+a6PnB?xhj*UH*7%sQ1pCdZbyGItuSt@yUuGkUtG=s5Nx?u~G< z{iMrrzZ0Ymj}f$9Ka;L&W3jDp;5OpRjEsDZgG?Ujcl+O0#!S^!9bkrZNm}xyVsN~( zcPg>q&vxI!7j>bbMd=Qvik+S(AtX>ep=uz|P)2~WUCvnk@@W(2IBwTS^6vWJU9`@c z{^L5^v|!cU^Iv#Zz6dX~8w$RIO`S>sYb$_P4_O_cnC}v=EJQ6L#)EQ~%ttc#S%p zq+0wI=QQ)VPq8nkHZjzFEX&6)bE?Ucc%pB*Oyit7f4vGqabQet{%Drl&X!C5m9o>5 zX!0Jt1C_Nt0f!0AYhTKSldhBv2Hbk~hOIvSTfx>$Z{w~x!3(Eauci`JycV7~x8GDWM94 zrfpo8SG_m6IF*{{f1iq4ut0L!^0Y{y?+IqzaCmU%vnn39M>zF;JHN~k|1&0&^Uf}U zc&Aj8YF97I?-eDf#1lsX9W7z^GBXGr4W!-Xjl!^g{(TRWax;bc{IU`=6OOa#<5KR5 zwYXRsjDFb~RnDZnwEN<3oZ|*;?@s6T`>ag6u{6aN;uK)(t6>zzw+2!=fUvof|-DY-Z-yLLFZTX;Rd?Z`*pgCjFuHM z!i!?mlGSo=IKj}nR1S$9LkpzYUf`pi+*=(noXY>zOwRK~`6=YlU4+issv+Y?Weccv zHe6dv0lsos&nQo;9TFF`bJOCZ8~&#WCSRU=b4f6Hc_e9tqDf}=lIu`^GA*?B@-;ne zSTobNF!7ax`OF^I$c)v z?cL5w_2u%er*E+XZjw2##-e)Vuow~o48{7nGcioK0h1@3It>GYL~PC`NcDVhc%J%V z({)Lb+d0$0k2kF=u7ppbaQX!ZvE|5mcB9I0g7-Y~mck{1O0w^H(j&Zq{xxb{XDlU?jgDOUn z)pt$z3fvUO9%!pNVcJ9r)0ZF6u9<%^_gl2ha0n|&dfa^8|Hd>^zGwqYJ&*7!Ec+_O zSI^Py%{fbR43{%hLe}eG!qu*^94%{2v$njKsqTHmmZo=`B_fOV(j2V8jC=KSE$xSC z%pxo;j{3D-2R0S3Zd%eJV2PrTxM5*2PtVj~i8Lo|Y-Qg4n9)5u3?%)lH);>5WW5%r zdxp~`RR{QL?>&Vqv3YF8ETU~OijPVY!~y=mqqq}#+|T(uP}l$xe&(rCvM5(Z+`M?1 zyb9}lsZ9NgEs!Nn=P%{Dm&?I0Sk>dTrVBT-P0LA*>hblfR;TCrn>?#gr>idCygptv zE)Xe@b%W-3PN7=Wc`IoiDHf}e4_rv#MkkU-9NF6wiKm$v``h}jjTln=eZ0108SpKRc7Y#0st$cgc(KaR; z1IhrH7+V_6H0Yg-1(uSIEB)i0KGOl`;<8S-3Tz5=<=KW?6ss3Hs6XUkuDH61XM%E@h)Ev(*NGXTq(2-@$c)&28yU z9nrtKEdh!o^abah#+1&Ap~-&9y4-a!Zzr6ho=j+eI-sWsZvVxi1I% zIT}%?1L74A@wa;R=vZ$+zEm4#nUfn_jy`xJt9SJ>7=e(SJ;%)RCrQ|KD~Hj5>|npa zE%NUn^ma#wQDX0*D=t*g5EOOV-D26nF~+j{8kLU3~A{V~=pz=augFvS29k4gq7 zuWpPSiKc@R49ydbFBSYPu)^dpy*7z3Z=qD`rRRq|PPfST*Hrm#G8f%9LK{UjxL1pT zGbtPDrNUTN>C&|v0KQ4zoG{x(CsvLtG;htk(AlnA6y3k{fhB{PhRj2!Vw>2R?@9Ex z!$;Y-KST{DWuDm@m76as7SVRgtz_XBnnCW$S%jY`Xo18WS&+49hNauQCKNOmCjs8sZXsZ1J z93yH{@zGp`qJ-~d_dV$!0$<5H^X)$`+rUnecEJX_PiBs7FE3^IVAIQZ&-0%aMh78@ zDuc`Q^eJ(zTd|hhACxY8>RIc@r}$C^*7=U<5NdmZjsyjEb};d zc8x%g*o4>Y(O5A5aJYz-8Z7sY6KqVYI)cnA+=}l_wQjr{eVkXJP`twgbE`qJS7#(f zZRShhXR}W$RW~G0dS*xY-GA*pd(td(<_j}$Rpggn=NdEka%DomvpU{s*5V**_KBOS z5w5qdeLasL1?-C*ag0o)nub3g#2uK=bG@QB-e5Iaq>r%O3>=l0DN`3!ytU44_vN#j zFpKjz=J$sE;&DG$J-HUy9K0Q8`U8y{dgIF;FQZkPB2|gD?v3>LWKeO;J#Y44g`t5n zFT=j|>=}vFf^m+Qv5<^-zcSY{l)y}TlhG+jyEr1MsVRfl(L_??YwDD5Ar`B;`@Lz8 zESd_RwYDP6)>XzaLuk=FB>BK-yWm<{OJ@OcS9J3}K3m=mH#1>%QA27%6WH|H6CTc& zcF0%e=3AA&powatU74Vg{}n@>uFhtw{^!h+^2TO`sdd~ApsC|l_p+NmIvw($0U=eH z<_jjA)3vIw_W3&W1L+=|klD(!*>S02DYA01f865xnb#|Is&Ook<;cS6Hh3?yYx<>+ zGrPd-my4r!hZ_(*gHWZsXll?E^O)~DAnKNV|GXGNH`YA6AHMrAu9@sNQNP;M+WXt% z1;08q&t|1ttmp1@MbTA84hJNTDKroigOks-=S-1I2t6UIpuC=lMx1?!x^B%lJ3Q%Ly!& z#1Z98lTKY-_d}D<#6ch;dIZlKC+&76a^B`ckhT;X!)~rxX|72Ef+^t^c0HjAkL3X} zT0W@q`kU-q_2s1N5rz{N=+?{C6=tN=7Xf0uiD527M$1e^_Ix_)=FCzw@G8WchXg;; zp`BVVt~bQL8YMRxTwwlie6tH?=+6kb=}a2hD-wfY9`kIniwmfn;Y#@JK_xb;{B4@I zcUF@@fzL{FrugOv9gXjM_xyS1-GR3Okw=-OUaJcL1EF~2M1uWJzHGZp#1k|d4con(X zJzcvPiqha)g_t3*)^t#&qlE?`ooXB=X6%&FJY|wn_7=FMM!1j6r3A(IUXy!-_;$S; zb`Of*nS1DqcT9;P^YR4S9O17%=k|6Hh;0Z zqMJDCM-#;HTR$UQ%ZT@EglPEgE0@}+fUd%jwKh5}mn5GK!iy3?&&;oNKiY%kE#4vX z)`#~^Ee*NF#)$53+nPC>_|>KzJI3Pw8!NqlErQP@<)#BIls?O^Er&cInJRJmx~9|= z98j_4;F8I8n3xj}7 zNLN?@UBSN^F4xj6vHx;`n|;2S!JYU(M*_@gVCA-XI7+9=GxT~sN!rw6pT~>hUW3y~ zka#)kgh$FTq^mbL*i2dm%y_gZq{W*w<%f9-4`eQ9QrDhn{i-kbaT;s7$xoPRyu!VsX2d$!uiVUyGQMxgDK0v}2 z(8#{N1Of$~<=@#}!FweXZ4 zn65+&ug&gQeD4hCeAF^S)?ppuJjke{o^vdB7V@l#^>^l3-J8op?_}xpi_*qakU}h} zN_{NN*fKl=st2#i`w2SQ9^19QllRYgRSmCjOzJS@B*>PkNZO~(>t@&s6`Mv*cbpYR zgNZ6gW#A~1sk%q0xYLDvbhWp9c|4nR=G70N(9!m4YGbAdwHk%H8|Dt_J4$WU2=^^0 zgp^t^$I%<+bVLkHfB+8y_%(eJG9w!ROmFp$i3>YprV4gs1m3VE^D)4;n58L2la7$X z0B-5u2`X(q`-bH8bkCgY_J@9_3dG4U5ktW&| z!tja0oLA@e?9Pa!IU!+F)15tU7!BtLUT4)S@V^@du}_@x6d!uFlI+bE&F9h6B7?69 z$|tn!{t*s-KH}Re1cGifif?pPB~1C1Cop`5Zc~b1azfh%?tML&ln!R$0MiDnO5fmn zou2@)gl6#;Z4f!4Gkd@{J>F~6k8`F?Xa$T3D=eKW6J?>f7A)_C7S235^yQ^m?Bf`o z<*J%;)t%^pBrtPyBMjf}c;E*-U4Av?Kgs{2$#P5OgcQ&)Af$RllLCSTMvZ_}5S@KG zpnYJBoj#4Y==3tk>&-Ad&i9;Xe+|?RbQz^vfj28%e(mKB+ zGtxIiiT4^(Uz8Klqadb+J6a#P%7FuHmm+>_u(Dn$J$9GDif-z=i|m@pjkMtXfS%?n zlgIq$Ji?QX257&xBz1%bo!%ezOiMJ1bm#@APG0&=)z;q*RF3uER20@#nh|Q<%^G>| z_7gLtj{Q4SkBFMOfK}=Gh4kOzJm}eA#1Z$J6NH4I)83k0MF*pgSaQ@md_)-@qB%*< zQ)G^*)^bLn;|Uo3mOM457biMvKKi;Z;!NUN%?#f2JMLu}?AQ^2ABgWHL6lXi6v?0B zYM~Sdoi>CDrSg~T8%c6{A*XiQ+Dc)rcg7k`Pgm*7huOh{T}}dVqkG0XsbM1u`FNvrfz1nV$F9`zBX?IeU-hk_w0|jF(qxM)#m5W ze$G4Z)&q}8^JLDQ`t%mn2bag39A{8n8k#U-8LUR*^bPP!r`U!|mIiIjGOjf?qJ9{~5s`+U87%NcFC~olpIphwem-i?BRj~?i8!l4<4&b7#^|Ldg9R$Sil_3eEYeVh zhg}Bkx=Gd}I7zj{L0tWyLl202=I+V~-^@f4l2n+)h-3lmJ(xT2=WVVPC3mX&<4(sn zEM0Q$vK8p2UVl(m4h5`%G~HuqA_@-CFgaz9MG(frVneLEd7H2j@ho%=XoInhZwP^= z^b^CT_MYBzy_BA%yZf+A`f+hS724SGJ*o6zxH8#KNp@Ex=9DgR*r{H98E@y*5Qz4N zX4%1r3a;?E2!0qUg*?FrP2TM!b|kbd(fzjTOXKsjF&Mpct5yBb%RZ;F@VSO|&i;IH z*DY?0I7t6g&3(}&RytMpp7V=tXxP%uOPO*LRy1{6?5B{7)8}=ALIXfSym5T*(!na6 ziv3_jeqZ}t$v{Vl(D}5AiR_q4fj22+tXTV*;D`7dLZCWG=%>SPR>SpH=M%Y2XY?aK z5)ys4=z-&S^ai`VpGVCq(e+6!xAuit^}xgAiR6L~UoP0geF#AZsEt4+N5^ko4B>+m z<6fAl`4P0B9bOsmr-oRhCp4l?^T|P~r-z0SumRxB28mvbzvy|TaIb#MgzH$()jIaD zfbsmoh_blxkQ+ue0Za#X&`clkv-5*NIevJ7Q81P6(H^?!kpWt0 zxK>~;4q8G}*!sE!X4TO}pMY77AosT&Y99_H_O1^pgITCsglRmlUzzBYAMpmZ^yyK8V4uR^eBv(U|#lS<4Eko{P)Ty4;kZ0jf<@*5ftH3Kx)| zA)2sew=zePSf77%NGaa2#&Qm`J{BFkw8XL=Z@IoQ*U-1RFlLEgnRe=?d=0iqU0-ln z9$jBCs#xrqTp#9JALCmah6OJfE=OZlNQ81cgcJU2W(U{FN&H$=Kw)-6Y|naWz&L?Fi{e^JyfrJqFX@R{Rr04Ezxy$zRY40A zvg-RN81Butslgv9Q~fN{ICu1q66f1t*8bn9Z$}@0U&R_r z-^ekye~@D`?t&qTjF~;;=Y0-qrqoKw#O2DC^gpfeh@X*IqgvuuX9Bp_I*xprUWI4i zRs$zCH@I9ngc|6u9bC2U^IpRomYyiJsl5D$pWYusr>DQBtV>N22LG6z&Cac*+BQGE zu9r49<=cbx=UH5DzB+h2Fvfdm+F}TIuW9hztnJYF)j{#^W+y%u_-=WUiCZP`Jo!HG zb~^UspkaIFgjQaq&9yK75}$eHCMtV<-pY(b9t|mLSmiu!Z zT-u=%Yed{vcgtYXc0zNl9^m=aRb;Www!_g?XgocB&m#rtbJ6n0# zs@dAOU9yEMDKRsu@l95YQf7M#-??qF)Ee{WHunANEz*jg*DXslx>!zKw$he8$|jO* zxc@y*6F6WmrmX5h?VYqlP1WR{?gMN(xAtWiA2^U|#r`-C)woc4)aj!3u~7%?Tt&&S z|K@eVA<=(mklf$NL`Wn4C+LhuuvJU$+!kPw!}t3ZXXlmFNBp2NQI#`!j;gOZT6l7LKZ$UM|YNalYQ`4=|OX#LM^cDBOe;Ak0o)BbJi z;S$O?8(Yv}Xel&Y0%ADyK}-rM1KMome$v(fYwrd1j`7ALTtdss%Gtq2*%j+-3+RG0wnE!XnK_cYf(x88(LHElc<=`?% z8D=yfR#r|DE+vbCBhiwy3kB$ezK7ByWf1f`QWi@8?=I$z?~x!abU|foTqq=vJ4uKE za?;=e1)=5Ova;YaQVNa&mCHgGN(wFowtRyNE`ySRqfnp_86;d*8l;s21W1Bs=nj34 z1Q!AUmj(HuGSPBqaHqe6?zF}rWtpKnLgdFWc z$)ag@v@D<(yq7^pfd*)rkUmXiV844!YCi2dYUL`XC9h2qGJ58gvI2tzV$(=od2zG?A7Q;_uG~Kp?#c zDSGWFh$=w&h8S#g*Tx-m8S@4qG^(U!5g-G-A0avT7gC`%(S!*I6qM^nDG*VTlFYR4 z7zLnZ&|pB)FGvvRG62cJzg{$61G#`?;+Kmi50Ff3Tr^o>$OI%0zg`esw9lXnNH#Vu zsO2(}a-a_Zt&j}-!-WQQ(BuLEaq8!_Arl*SAPay#X=d6Tdj932^)>x_D9w)xk_)I; zq5Dtk4XM)&o#zV&yr$`SKR93_^z>7WNNuQ*pW4w_&)U(}23VUPW4*A%IRPU>&2{VY$9 z-1trELqDQXj1oZniUbB4*f9CwL_Bl$n;>7W9rWZ_XJ}L2x$JU5See*Y- z^`f-bUT2Y>Oj{wh?cOVGdn=}9$IDK1Xj-EFdEY|Sd#oQ3wfq#e)T)EKw3ih2RYVJM z9FDE)V`F_7Y{~m5Dp{s?%Sal=W&aMgf!r#K;;Z|$Ih|sto1dThdiC3S_H=$ZiNtq! z{7TI~bk47%fzdfq0I&SV&Joks^4zMtvxF!zd&BN&pG~|-*w8v@=Z76ktdYNaT^RTy ziU1ciDjmL?VPDmUL|p6J9)=eoxfl=qeh#i>a|ZSB^0faf?`MyMU5)qJU+uQbgsns! z>;C$_A8`;{NV09+^W8jKF;Tfb)2v#EgY#6Il^~W4lPD#ghf|b=lQoRvt?sy<=SJ?m zEgf=_Kjg)O$4%Rm_eN!D+>-I!xBNsR+AGxX)-%L+oS2Ix@wA-NpWlr$XNF>V%{|10 zIVCa=&Cbbe<UR>E~dC@fdA9(l={(uxvW&e?fD19{BR{q`Jsr%P{|1CdZ)**E zrsLL9`Bh2XO`AA88n#>_XvgLbRlDWP<}w*At!*Y~o{Rej{y^|{L*xE4WLG(@um3NQ z9b(=Os16k9FHoHhGJk>U0POw)REIO5`rnHFD@grEjSa!ze-F`_e}U*ykni}v2GM~j zmGHOqbc0K{xdMm6%LhDp*?ZdB(jYtY56F)Gt5Mo;NPilo{~EIYt?huVG^mc0`k&&$ z{}re%E%l3yML_NQ|4{w^L-h?fOUK&(4yptB`R|450GL7`{(ldu11|)i-~R)sF7*SZ zLva27EmTMSd#El4+$YF|`vs;$&l?bZB3L5I=wKBPOP zXh9N&N|mBx`kzStS0Jw;1qU?KGHM{;K>0(DKa>87qm>cA##(&6G!48!WDmqCltCs5 z8!I>h$|#{M^Pd18+-OMrOQC2t!L0{u0Y`z1TLwUvz%sD)9&F;F{H zyn~yo8pO||YA2*5f!iY|1sp^vX_WMZW6VE!;Ol8?#|(lcXlCGQGyXuN0tNg!JNS=x zP>>AzgS#@`A?45@9P-z9vXY>G|B_Bt`tRxFr2k%?oXkI@lLJiqm-4^|8PLIhd4~jE z>A${1B4vOg``34pl2Vd?Ef1uF@Xf!Jhm=O4K}Y`O9a8phG)qfL1JVE2bSN3=f1pL? zue2bMav(tWm%Oql5UKg=J0yrW{PmqA(20L}2ZBm}ONWA@Qh!N@l0*G1uZ$!Vx`h6I z_Ag-H-}1`H0`>HlbaH6)Fa74_Y31N->q!fE8aVg^l>(xWXWiVOp+M6KTCR3Ln*a*v aS^?)}<>^HeK_nU>EypY*q^_sI{67G;NR0Ua literal 39830 zcmZU*1yodR`#o%e3WzA(h>A$3GztPLC7{wR(p^K2f`p_>EAa>t(kNX+qY@)hN(u-g zAUX6f%y*xef%o^V|9aoGo`o~#oI9>-UwiNCK6CZK9c4Zte$jJR3&+?CYR?I=3$i;~ z*qxJ+VHbGl<6^}wplI%4?%-_AF7UwI+RB|>7<@sST~6+tmD3aGixU6m0%d0>4|Wm! z7X1tg zoGo>%JlGAvWA7+~p;*B@*ahx6f*~jn|Eoy+?>%qcJW&w*PgGoxUxHmkRE%F7++IKtOblG@&Mrw9-fbr* zXYiL0^ws~n7|_RutEXn=WbI+YE<}8yvaJJ{FS~%U16YJRR+i3Bte|1Ld$?JdJD!83 zMm7BEU6T6r)H_47EaR4n1yc29Q%#k?{;`mmPh>QwtIw61P7VlYa0fLD+`Zy8XTWJ0 zdq%70N!Hxt!7y$Ij$6TPu;E4#I3#Xg0Ea;wEMZ3Bdu+JcgI$584BS3)7YVn;?Za_K zxP3niN*=f90MCMlc(7(;=Mh`-yBA^y4!j!Sdx(S05**qTw(WYd6mJZ^2$xqB6R)w$k;d(dWmdAFp=62nl^M|yLOvvD=A zz6HJRQmtpdmc_Q#>^`>;a1a^G-M-pYP!l2W%hdYECOf}OZJ=-!na|Iy%h31pG|G&- zV|OygA4-!UyJlQx-)gfi-u9p8=tsh?f33+!U+$Gbz5bD6;V8pmT_jhFs23@oZe>`^ z9-%;osLWciHlt@1Vn$+j>eH(N9!f`gS<2`pEoP5iS_7Zbr2Etf$xo|NrUVW+@d`}a z;I^=tTLPn|QK*^vh513(n4KSrp{6b?7KKVECI2ZcpA?nVKjYc_CohcBCTx5@V-)aJ zW68a{rX!?)rYX}l#>&GM9#L#Msm~W)BKqW)JoC(>ASnq!Q|hb{U24hg($G81P7VU@ zV|rTHFjd~Ehki`%h9cK!64{D76BN`Jp4~~c@Aah~u1#GQkSlMTopeewr%7{{#3;qk zoh;?kl9VT#DVhvOd^PP7b-cdvLZ#~R;_Sp^vj9&MS>(4p+bf!4sML7Y-yup?Skcrf zk!kXShMa?qV*-3Hmflna>V144{4hzLQW{CPz@k>zn>_ag zs!sAIbWuRT754)ASUFQ9GHlF%@LhU=W|U6avt$988zrmtV{E!Iz(sqeFOzF>xiHx}uZ~ClJO{jS zz86ek4^8H%>J#58{0M{|l;lGn8&>f3BhRs>>bH%$U&bQQk1zSr;WwDIoGyiJZFd4I zMmg0%Es@4=?OD@0Hk4PW#tD-h{ZAnc2aQeuEtr0OI1r&(@%e(O@0V3F)- zoir2W_y;SUE~dLCXM8nZm2a*kYf*Q!Ye9vz(l}f|wp=&&C;w}@HKn?bUbIUcu=`hy z7P!tqAxp#BVSnE92l+7&V)2G1MwGh6^aGO5ckV0Zq_64SAN7&qn#v>DzG*S#( z(2j&gb`BYf5+9HhKy|9}P1}Qb?wI)%S}~J7^qcrqo*mKj8zj)uP5JD48Wm$hV|}0L z(ti3wPCDHCa?Q=!#W3sBIf|KIVdAhs-^0C*5lQ_TjSzn&Ap2yGVVlELDNTW}n}X>h zX0rJ@rw<2gm-b=poWm+Ur;;#PSm&=ZSLxTY!_?$w%2=-7PWwQ-%;cL-`htHmlu99} z*{SOL5w)^ZV97T`SQq}RKL1&n_hGEXrC6-s^@nE1=x;Yf1!6k~i;vmylMrq;<#zR> zA}#T$=tsf2(p30A(vxy$JmzHvOQi7G+|l4IRG=z9N0>a9X~}>56o(^FbWqR5h7)2^ zhK+w~RJoe`A3sd{!yi52yC`IQydkyh2LM08f~B3T-^o^0ixLqnjQ29vg&o|V5q$KRqe4$t#HXI+B zlrx)+XB~{*-Xt#3%+&I`kcWQ6m8^ZMF_?b1HU4(G21_c$;Fzxt>dKcqZu0n^-#uPsN$WojjuEr&zWSgv-b zABB*K-oqhHPM>dUep@sBC+kb|3Nw_~#e?h+*8u#rWPS={?CqMmzql8zes(oqdE_PQ z7-H0e!_?L$cU?Tacx``r#ylhR2T5LvzaA97b0gv1aVQ>rV*&PyhRG#qb$R zC6b$bH@H5ZNpJPc=hCBqLaMtJrc=52@yE&fPZtu&{#jP@559r0F~Rl}0+)PkG-4-H z4Zkgl>G%zQ2v`4QJfqk}%h z=oHK7)@{i&AUjl}xA)}cg2UDx|LN~cHt)Jf39rZ)G;;$m)Ei07)V>iez!crxaYs6G zFc^xQUP=<5e}b}2-EIP^A3pEE`6v0WSYxtbTT4*|J1)C>so~29p7srN)^2mQ#)Xx+ ziUplvt$rElKEd3&Yuu>;Fc5ZPhSq$^sXp}EDqhz9PM={RouQg|ls#kor zx%tO@=_USYi_Ddao1BdfH-$$pEeSlPgdkU1o;7qPY?sQK6)xdDS9fyR&{U?9YHE_Q zFTP;sZ80iwIW(?hX`@{5bG4u2mFj}E#cJml@Hwg+|8VclM4zGkS*?U;$d zmr^p;m5kC4pH4W?iHMil2(kMxU37iF>z9v-D(Yk?_A0NqoG~snb3<;>>%oDHSn96H z8v>e8&Q#0|OsZbr4;Rst^Do>cySco@y|zFpu2~aBiE?e9-jf=y>Y_?weT?*(WE-+> zxu&Ot8Z*+@4c^I3q0yXEK29N(kkp7fN^zF|JekqnBLD!pVA7$Ck2~hwQRO6ROC}1M&yB5Z7N}$^~6I>=!{Z4xi z@L*7Zi`;C}E5}3OPIS(*M!DPD1qD>Jv>lT?jK_;*8aF?i;{4k05V)*eG(!*sxU8G1 z>Y{^67=7+j_<-7!L%hQSU@u3ulj+?c0Q@j1_Z83cLtYPo6lSRm)Jkh6?M z;igZU_qRv>_Z)dQq9%J=2hrVM|FpR8x#ajgNslqohG*J;3)}He9h^lq_ID`OCuLE{ z!RQf4zRCU@g_(*NvBjHmWsjRu?LD$SDjzUX*uV@=)PMT^INCq%iFVr(tqujR0r?Ww zS#HUi_g@iC>^p^(}}yt-MU+tzRKAv zGi5VQlhI|0xH4%fy{jtStmq-r`)3@jz&|mn;GfN*D6liGaz9@r0#6HLe{vkEQ`t))O*wgFl!yD<4}9LcO!mB9Vekzm>*<=jeAa~qE>AL{!k9^gr?OM# zn|0cX4*;TW=B4p0r24gK-0^R0a87&TL^opU;0M*$iQP3pX8G<|3G@!8{nBpWzbo-G ztY2hS7E|45CTlNj?yc#Kwr>j)m|)jvyFhs~H&9r3{w3EjX>E4Lq%FnTje%Z((ZU() zA~!Nyj4h3lW?4%J<;8@}(CB0s(%hr6W*j=!RmPT7r0@E%1B*Tr^^JDe#M)iw6 zVr6qKAloIr;&byH<;-lih-?$uZlWP`i+|KGZ?Mhe4pfrcO;V~D z(VYA;|194w+a#@sVAJb<7`2mn=Nz;N+6Q!}SbwS-=$-W=)1P>J>wlQgZxb4k)JOMKq&*rU+x8rx622%HKnw2CV_p#;u``Z zGoA6?0Y$M=>FR7ET`p#^ALYmAzXWlT1%}v%bxXbZ1hpD?`{2$Y@8G>(Iq-5(Ol?pEO1y+4d2A ztl*lZLDS_}^9)z!aYo{E{EhGR6cHYZn%$Hr$-L%DWupJ(jmW>16~9=Kk0dwkKlIpK zgL8cl1RRblUuL(f?!SM8P&;E1z`v>O3l*INTa)Ep%+yyPD#%}Gn=gK+9c+KO}T*gM2=L zl^{er3ebpm#V-guh}>UM|4xfXHtdv3F|GWiOuU<4#*IJ}9 zjlWm7)-uWVwv@1Av7Iyv-lo_^6++<%pZ}qc8t}-A>Tb5t*rppUXL8Mw8;PWuJNO>k zt{(YKvP613W5-J_+KZ@3{1JT`z|0`T0p@pVJAv9qpl43{K|{i8YwZ96O$6E+8CD>a zZo9$RSQxi8O$vt_(V(-#wib}vx?@OYg8GHTfc3p8NRE3#j2D-V7K6BTZ-Kye)eO99 z+28kB60PvRAQkV~ZPs;yUGYsch)&o4%zesIW6mWdGH=B0_;lq{HL0R{)+EYJw=8A? zI4M?}iWbFPZoK}+YbFI3VAKTdK;#1QeJaP{Zm=PGv#?{iYh@~5h5<1N!VEm?2U|Tr zShu<|Xx%dRbiS?V6sb|-At_|)Z7||fC8yKS-FJNo6B(-I(1xKZOv8Arxm^dK(hgMK z1mzc>G$7GI%HehqoqN0xJI_1#QTs|`@i=fU=Iy6`vMkFC#x*1h*nKGadwU`yxD7&y zk#Q>Im~&8qEivBejpU?DfaYBIFb=G2$!DHP> zDC+X%{Z=v)|oPWTO65L0P zWoYo?bQ)0cE9>5Gto}ZoqcnTRa~Sgxk+(#MWx<0gi9Y#-4lty}4-GrbxO$39)7c?g z`LQb9Sa-L}^Qj}}6W*xO^Y3maH@rIOFsNc!rncY6@^d=JN=>pzibeP3Y(y3l*r3w1 z85hmYr)kt{O0OYc!uHhSW9T8gI9oo63p@bt{m8KCGNnAdxkqI>1k$nv*BD1n2qKkg zzbm(othKT8@u?Mu7>89KCT7U2gmJwQ3%D2Fg*doB`{QVL<(Vv?^ita7GEJofE+3@A zDQCo9?8^kPA1%1NvL*DTv|-cO$~pr|zYV}W8q1G=Qr*U+8|ZSG9?Tc?u3lgn)pDyv zrD)^4<4U^veyh!V3xHc5V7$~NGSRY&pj=HatXPa12>Rf*-QeBwNUY}zKa#9{cS=1~ z9l4uN)ORmTl9()|?l3)oc_Y4aJ-Qn*yPzAUh1E7KW| zv~h!sm_O8eBJw&;J|oxWV7RxI5LN-I1FE%_EYjq?;lmLOx@#5bWg5LaZ6RFg z*0hXoEg8n8O2tf(I_CBCZMuw~{;_G~B6IDIchj}!(b6hu$ktz_qGR<+*a8)Sr2==( zrnq=vd6|2EK|WG?MWF8%zf92f7DtmKa(Ev?>&5zS<^_QuuN{?@4TDTI^eLdkW#uurw8gypBZ`+Juk{xB^m zUJ4T@36OJ;n7uJkh1;{${_2R-Pu3sP8kwlwXVY}NvsK>`2soQ zFzJYAcXYM>*%X>y-b_bSyyVa0*vEID8R{~4J-|x=QdHetveisR&&&wy3z?MzWh0n& z-Qz#L-V37=h|RGs_o}&g%C(QtQ#vr#CpD(B|N5~sXS+jGQZ;q&W0%h9IHhi_Rj)XZ zH@CE`uMY&O+4;`}<&3R=n8_c^`1%_vNMCQNemG74=u%bzQf)Hca4<3;rh4_S<%=jw zQlB=V5IoFD{qj01KOO0%v&1_>u~bsU+7{;9V%)yz?c|fRr}{eAsJ*JU#v8HaKv(Ju ze~$d!(%L)Es`<=t_?Q-+$MDGfeY*kWY1WATz)P7zSt^yKNtD@H7kl_iNxapm%S?&h z3jtXw`()sytiv*+>s-oyWnRYRgV7+VoPTelcXC}-R+n(~F!}UjNo(7DE(gAe^}mwO z{LY3;aIKPBv!)=Dx07Dze_FRCyP_Vb&+&q4Wo;nqzT z$vG(3RvqeKpK>FiV{KNn!G6e1vmV=`PFn74#bZBODs0IY8=mDmaaQYuk&gjNaD&O@ z*P9!_b7TM=1VGjzeFwD5^!Aj}y@MEB>l>!46*^n};V*qb!2a^N4VGEfwVneiBh$4~ zh=Vgw_%pWGAq2+Y!we^k+B>z8g~e#d4g-Y4#7>RFMjr6ol~%L0Q#%(X&!_a)pq{gu zP!c>&OD4nor@=6-Xge#d*|AoGORi&k|MFT8%YXlxBVxiMv+h>_nmS=ep2V~FAx5m5 z>+RIg`)I>gp@uJNSpob4Z&v7FBL5m1-)L!Rh1rJPg>NbB5GrRkj@1E=zqZ&S>%iI1 zL!#gVKgb(*i^1-aLDn^%iej(et6Aor`#hTs^_HaZz}>pF?g@C5kQmF2nZo5oiN%ym zw()QQ-X|jr&S@gU8Hfw|RHhF>aqh->nGkEL|3r!L5#vDQifX{40kk~&VNyS^%_`c) zL*_WR9E0JX`QxG8*28Ek^7iXwBcdHR#1VFyygA zem#bEJ)c7gd&IePhjKYEi)oIBV(B4kj0^JA-_&F8-UxAe`-|o-1P|M_^_;L3*^7g3 z|JH~44Cs*=S9z7~4f1N%HLH|zI{6(8--~3(|A#ZpRXm58)?Yeer3oYOg6t!LIKD-! zq(wq8nwENa!bS#%8{i3$bcsC6frqZzp~&0jW6|v+R>f|d;k+m`^2~)r8e@b~C?G5L z9~x|?mJ14K0cZYUJG*N$lYFt|I^YpkARf{9ArkNWp|bQ_QjRE{K%?h_{4LJLyf}z? z8IxBLmQtW|utNxI*SSw550lPL?f&!c8}_=W6eKa~A_U0-+7l>x?QT$#p`EZk*!D7k z7|lxkf%uJkNq)3SH3Yg1)??`lVLfC=N}NqoL3zGw;yLc zfpkwEJp4R#vOW(`+nUD7c4xEE%r_eL+nv9BA7YJZyMbZWwwV60*7>%KVc66L_OrJL zZ`RCIFLuxSoYN;6DT^%_`;*Q}QM`pO({G{&nM9+^B@cwpP`W}X+VXRmCg zER}Wo)}_D8D`_})I8}8T<1pG~6wsh#H(xo*LD)H6iorjio4aUJCo3mH4>*hw)8mTg zkAy+X)Xy_w>7ox6PNq@J*G78A=_dRI#uu}{)l(gTtVsLz5j`|tP4|wMUna_Q>DgaO z``+rQvnW^iRiP_!c-D&^<)2qc^=TvPE*{GLM~Md4QCiDoZ1+|9^6M^Q7bt>7C}*70 zfJN!EEe*hMX;9LEt_!$lpi3-*+;4aL#0;5w-%JBds{PU^}U1ONU z^xq5KMPal?zJV8?j!Dok2^6Wi`vg<6c3`rjk5$P`=bj)`2!dTy$&|A6l0T%76;QIm zv^7m$JI$?2Arj~@)9dQ1-!(o-BcI#OGWq1*OXiuU3aYC#%3+zjL!O` zk0@X?VT&pKGqbmVKe8}56tVCcHGTugv5^8DCt6jqQX7$>rF-vFkxO71J>y2`d31Gy zzJ`RY<*L249BtW>fZ$0FSI`o-PyS7M=E@( z+H))NI5(b%6>Fo>4kE)glrROR0E ziS(&9y}rJk;u{Hndp4)XhC`Ek2s5ief?^Cc+`cK_zop}3Gs4fa9S}_mb$at&JH9F9 z?Dg)KE?5f%CUAYSqeUGP-llqswSW>oE5uYidLO}Gba9{ zZi}v)lyU}pg{#StvQ7_QwTKm2U^KdW>lErb52@M1Xd9~muqe9;jAl=5N&VHoP9}O# z)?;Mt09^>y3^>i6-uWx=ImMo&oNosGgsdh;BhTv0#PCD%#?tS#wdSgN%5D16Wo%6z z<$Y!WCORUsLnR({f`5#3M5|ZNOe|gj4!>(_%!)ooQ#auD(IkxxWB6KCz{>bf!}{@^$EQ}jjR z#)>l5Qa5a}$1LtLGL)Zp>UK`JWX8|H?bt3{rYEnoU(x;8%{C^?ri^vJ_kv~Pk5}*M z##G>&N=~n7p^ya~LqmkjY#~wjOs$CgC6 z#~>Iy@NyED?)0(o6jAvK>=VBqxgY>9c{O;b@ew>UM0r+5VQTE*bYu{i+BW0M!3>q1 zYzAG=7vP@|bT3yqA3;F7b;Osm{#HsTXF_fUh)+O}nl?1CXP4w&9OKnSC-&p<2Kx#R zNpgv3xvn3Rk0oYO zEWn|h4A;rPvy-R!5(#Vt*e(&Th<=BHOvZMUDxk_zwl__7FcFDFNbb$0t|u0~5X7Xf zEm1k1r;Dr`BMNUaTpjE=zF;PC=Df-XOSS^U7#JV*tJ_MKh_&fYmr4;SOzY}W2Yk=F zy^}DpA8>i&C~cCVOyIpED(V<&OeprW_QT@<2aj_^w}H z%Q&4qFVwXBZ{0sl@-&}{zt$DV1FZY;gfKZc3o4;u8&Cq>80%#bQY8?gKUV%-qh}B$Vk6WPxo2}TeGzjm z{W(BjsiN@;{&>xmkrjLJR8B`Fvfa9G;k)-0{VM7>JG}O-(`eU}QXu01$(Z{*M9F+4 z^69d7+5lt(ox33*WW`p&?3%L{=6rGvu-Z zBbSo)vF&T2t%F`tvijD5N54g)#Fsnl3$7VmqhsCr>kNe4BN@L5y#ahL@f;=0ZFlfw zeW7y2r@V_kdiIy)oUz+x>`g@t?dQcIpDZ@i2TP#yl2D>B%;w(gGPF=T=3QtU9+QQ^dxQ^gw{jI3DA zs*MI<%NZkAFPm)NRHW#YnGc+(95Wq~EXgXDmvyhwk!!2U$hwfu5SAQUV60@(1}iPK zOLuuY(=$Ri&G28&6W_Kaw=el_PE>qR63)9nEqeEd*Ly?O{TZR+wV?}ZRHnr_T}L3U zn7dB(r2@u>U~Y^@u$hOa%(kNX_$Mdi{k($I?@6LlcpHCw*Lc}VQuZM{a?8T{Az0fY zkq7^r35P}=hh3F1pc~A~(tG$)=HGQi(1y|V+~i>|Uif=+v*A9lUgjNcA1pTw`wkfV zK(il^NB+e$ZCHCCjpd`m+_EusbI)SmQs$13Tqxsu^fP_{y-|dEQO3uh(|hjWX#Z@u zfIUY++s8jrj0Khoh7n#{&wd)3G8_|8S>#R};NQayczK?k_mz7k(Q4`Oa{IFhOXtu{zUC&i zAE9HCW3k7E-2VJ)L0=dn@3JYgACaisOXh3~{?p3QzAn=x(i+;vHq~g)!}K#TiaYmo zM9=Qnv634cM(pv_@I)hW-b(E>i5EyN*j7Lty%~pA@>XUD#@_jvk{_H2-oB85sj&WO zlP`V?kx|(a&uy}ot|^+G$dT=qKsFr`JXAq3x;A_Ar&DIx?e^DFvRCvu+@*>vZM42K z_va%D*qT}gHK*3TNkxO>3aZzej4or==WExU|NF0W5M5HF!ivVed>VXMlcxfOzyI-C zveRj|c`EnYY?eKyYd%f*1ap!ArV@Y3=;m5EcQ%V_9esT&)oMGLGFCB`DK0|-;?NGdS@XjWhzM5ib zNEQT93D6zLC0P*wZ1MnByCEap^S_Zz3*txiGq7_s$C_Bl0Q!FlZBMc8z+-DmD6tR} ziz`PT$rNvrF@nEb(!1+AH-1}2P7G9_ydz8*ini3eib_Stuf^^h(j6q%1FiRN(b;=!%-^`iyvQjlcNVqmigaYuDPN?GXIKS)jO!pd)B!pUU4sVevZRWb|qWs*CmbmfM z69OEBAOx=AZ?A=|_#<5W+<>TM>i)AK?m=LX{h5Him|cR$8;lT8HJ5{l<~G2la78Y+ z>&w5JY%Yc2>i7J{lpa4@Vzd=7sKyAVwu2J_)DKON%yGlugdzUC41(+#t#vv>F3{jB zsxR?DV~bsr8KX%T;_N@k%eyO+X)oP{(|K32w@-fWDJ<$d>euiw#^U$Y{VfXXty5pF znj*b=OF3-iv5wwVWHK#0XP2n2i-+Z&(tG%3Wt45&_}=yH;S!v-#wvZ!f>)Sy>$q`~ z-ra$YOHOfC<1X$m?o7GzY7pRdLQ7#b|PNh+^e-hc4lPw5OMv$~5drxm_d zMINWU7y`{4(MoED$-C@ddi*Q)f^H*%H@Nhb3v<7I#$+jj_*F;TxHpW$j;G^A|9WWj z{DLG+1k6ZoV6nC=^8JdkdZ*rFcZ_py;pgICE!zMkqgDR;@Ow31`gyDRrE;4V_y)fx(i#@^)U#?$V{xwh_OT9yO!0J=cMby- zrLV5bI9&~=U3PXq_Vi+aCp)a?8C~+*w8-A3v9+ufr(DU77>^y_$0#b}>o!@{Qwr+< z(|ChjJin~f(e}*$_W)Mkt)5l0S9h_8TQ~gO{j`!L`o)vdA)PjBFK&5yuK?ckM2-8( zZ=ql$MXB*w{nHv(9k)a4&Qf$=Vbf6AJm5u!`+%aPp_@lf`G%4!DKkWCl&c zGHD_^*nn@g&n?{LZZ;Lkk;@k{42WS2cOG4)5wx}5F(Eo#Ee z<#c>w&AB|fC&|8sA&0D_?KMA^a&s>^L?@3#2ytB3bm%Tf*D13exUIJHGt|1J$`9Jm zPDRo?A~z=+jv*^$S$Ea26a8n~rE^%91Nl}@m$?u!53^eyv6kr|9P{bd`=+jA^znVU z!!|LleY*#DQ2K8~N<206TDZ>#p=|vgJ_Y|dZypn`}Eye z7Y2DXgKdoyEvjVtZlPJyI`C%-SCqyIUyEm@>|@VXfMYFYBT=;L2dWNuTYMz43;Q`# zn_zPQ7pAHMf;Z_BoD~0x`{w^BA0^9Nu!{RgB;CO_*Cm2y5pzKUcVJdVr0-KJY1bmj zV(0K&Ew=bM{#+0o$$VaZlLYTB%>_!66Wyg{i7ZM>fzxQK*ASib6F7-(&XQbecgGD6 zHsSGod`f4L=YImDA;a~E&Vt?`*ef)bgGoIhHbO3Q786aFus0yZb zOnDE%QAC1aQ+LG)nB1<=p*!oM5$LS7REZq3Zc$)4az0;SSx&ZaimW#;=tuo+ZCsM{Z-Llc^n4+cmh?kd(;jl!$LaCb9AL zik<6!DjJ7aOa?0nIxJgW7fd(1od%Blq^T2xr6j}ok)6WNg)R2Cg>NInWnkhGbkHQ6 zNZ^2a`D#um#MYC_HMcRqk7;Kc91s2jw__@=w^T`!XF zU4wXvbZ#X>^0{_JRoQP?rN$rVXlkaBVmtX{x;7qCKKr=QX7q7~q}$a}*YBZdR;+$X zCcdG))P+?}^JST;Roz#WY_|09(ye#v6he6@pM<~p#bPGfX(?J4m(RKse>X`)FwTF6 z4*+HSAD4yENxAwr-!-1M&iR8=oje=`O(`#yES`lK7p}r~)UrsoS0s+ZJRefY{4D)2 zgy|1@b*^2t&jaIqz zGG!AN( zY5jjFUEAks%<~K3A$Nd8pU;%9;_+$V#_$q_ZlCb)yR)j6MU>WbzXyY@ia;K3FN?HkHE%t^vrr#Q>Vqu*s5#X%2j|4t&8s6CpSN-~W}$5WQ+nBy^VorCg} zX+2<8EMME{Wpgqtv`OAiHzkJOIF|1G`<*lA<8TDu@t)zBRPovF%ml&b!Ki%WEQVn%g+#$>*QA^EPCih z%3+fNDf9A3T@JMn)TL&bXVa%dPW-`w5Ck$w&j_#;$Y9`7Ct?tz>Z%gv@Ek#|Ch#lY z_Jh+62>0v6u{dtLQ7HNryF)k;6L5l*ke!qVa*@Hizxx2E4Z)>Rw%{?(z3z_bnvYdh zH$hDUB&q0aYRLpkB(hy+WDOl(Ih~MXl%DJKf$6u>OT0Jo2Kt61-a<(4ZR!@D!T)Q1 zFTqVPG0+Jc(CtWOSyPHGr;+`F@nD(L&Ju(~wsb-WUSub64s@N)?FXkP@E(a~mj2-+ zQ9pQlWki6iY?-v4CC=B#U9#cG`p}#|{4TC%nE?jg8bJ*X&q(1W?(>5qh;|>+{x*;2 z?h3MrzU?=W*@pKAB)cQy`@uQlmAF8HpYN!M7*dJ_C$%7pC4F~NQYBIZ8PyNjBp+`b z){+2??*zh))ID!CeF(VH1-5I$GrcY^TxR`#NV692Y-~#+xmmNot3)1+GjEo;AD$$8 z2|~JOY%Or_PtdEg)E_)Qxa7QD@lLVazp?zZcgbyHq<)in9eZl!GaZ+nGTPPwZX`E} zHNF*M5oF6{kZh`y%B8ygVB z8Jo-3NhBceKQIc>L}-jQZQY+@NKntS%0mTw4Teqq=jqt$<-dEZvJ1S;_wfo_W3-1| zsNUU?kM8}89czV~HLX6Ooi^8OXTA>{h%cXrNqG_kaZSs`4b#CU1t`?Wyo<7jTyMJY zzP(>@Q@`%`zj6o?wzKcn01j8uaNNXEW=i}xAI#gwz1G-xC9b(!^jVF~`oJJAPQ$A4KDL{W6XW7u!;n(bh z2U%^f*C6KqUTRYi{`kV>xtTlc>M_kK?GIxRbL2T*c@wb7TlcWWf=@jjM8yx4wT${2 zzTcVVpp7}31L7=AN6s=7f@n%%+Zc*_ixmmU*q>LJ0Y1)_-zt;LVEX;&>I7#-M@XQmDAa{n>sBGOn3y+P8{Q%^8``5)tvS>h-faZ*Ud89e(gNT~bzcJl=J^TYR{)i2@A#7~ATLeG>aAqGk9nv3`38J1fb=-&9$u@P} zuoW;_!0exI3swTWE@@A0_xPF_1W7dqX)(|A^dQBZeUOrH%VYMxqHiU2y8V-t{Msk* zXMIYN)r0l+ty3%@Dk;Zf?ph2nmz4dqq|!rzDJNo1AegG74N3jLzP5t=&*AO$Go_{1 z)%^Opu^Q2OskTpnlN5r`e0&71*1UMILGKx3#y^T-fK5vT&)QRm)JEDGyhPP40W~J& zT!RQW3cP_Jf~`DGb(+dtJ{+Zy-%xw6kMLalYE1N~_1m z4G4wvDxcFfYvj~RxnCYMc2Q3!yzn~5ERIq=i&qpU?nTRmodN^_AVEl7bonPT6s%+{ zECl2Zm#<6J$=!hv52@?Q_ZRi1_`;+|krq(K){Fz0 z;OFvR$)Oao_RjWT0J?0fBXD!&*GF#gE5oi8s;$_AGvWWUvH(v4HdCA40*sanf17fb zDo52B?yJOsjCTl&)kJXXRA(7Y1)}b>I!gS;nG{I1TZ+c*wEASEx6+$k1402X84vk5 zS=Mo8V$$%<$=&T#jJE81Xz3nTc4*9h>{oWi9U%qwI3sd70(^#bOF<__tr2V|p`Wui5!0q*5|>+$U6DkA*+NqwA+uZvC+Q4r~kM(R@=Hij1&O=CE4mo0i`r`HazPA zlMeLgejh`Jqa*{O7O)_V?XatzJTrvv@{JWOnkY(gwiyYh<+20+_uUGtbM=T(ob(~O zD0J}0M62FCAVWd0v=nk%GY-;}1O-2XFzj&0iljXI=mPC<#vY3mQ}R71s%si!hbW+T zxNMi;&Lj73{{lqeu3?|Tfd;o(uh=Cu!@l5p%^PO?fYL+ljQ(@Us?jawG(EGEZ71f` zL|X9`TY}B~qgHZdX2?FvJm}|qH(5Gxj`yNHa>WA@o2OfVcIqI5XV{fi6MSGC6C+cy zKAxx7#YXe-g9;3>k}L<}d?p2&4*TxFBkQp^gow28Qt)O6m=L&GH1TFFlet$8c@1vv z8hJPGB{0pFaqDxuhxhG2O=LSuf2Hh4cm9{L#YbX9+Wh%Z#@atW%GlZ_e=uU`ykD=W z89!hf(1~143p1iE1kY6zq)Yd0>k3=HnL(>i4S!+-9S5@1iA_X(n;GEjRLFelU=w4t zA-IGtIQ9E>=4y39|KDcpDDyL2Ce6q1x~~*RYmS&&2(5CZ;1NF6j=Yx;mLl7p@cEog zXY%eV`1z#udcgDOE%7F73g+O9alO1|q);40P|3Dg;tHMR1b{tBu-9@*VUu|Us zWEtQ4`JQ%gf|)p&u!nm$SPnCgdpGba9q?ozD(Nk`?}IRA(a!lE4_Y%f>n^my$UzF? zHP7(Oxrv%J`nkggE((P4#_FM#8c0$yb}C81gfr2mxnTXrs_fICr}PW&)p4hb^nxTN~?n??~0;&H>%Y$ z!J7eemtX{cfietX!42LW!%J-Vfpe+-8WOO0sH(NuABHT;mI3G=;A=>10N)}1K52GX zF1NKx+e3hF0ff06b>(4x#Dwu3a$C~&qtgDm?5Gaw4IX9{Td4tL!)jqaVr5}Rdf&Ot z!R#pkALX7@R)5F0UvM$+{&!pC(QT>9k8UeCa&%i&Ln6_}QRGt`CY8z{Egd8989>E< zUvYHR&i}4@Lbz%NiHk1hJMhWDPn@#qaN@X*agwKrXF;$`EuVBgA{c*1kN5zyv+I=B zOkhy|aoGBQ6p!|+V-73A(u!_#+Kg~s6Om&|#v^pa57ls$ll!;8)I1AfSUMtZqpEv( zO7W1_&0@$UU9NqYNh}6_1<|O(IyRN>Df6GiVZI26rP&nI7nP1TbsV5)>orkIOyIp;}k_J-jlJGSJgr+K9pbTs$Z@idz2<3=#Ga6Z*s?OS=I-H3duJn z_Ly#?15TL#oRjgd)I~|~Au%l{6%nF`U+o#2a?!0v&_xkp#(TYSU@ecx0Op*qzy4Y< z$KE*P=!#C(NZ3PH2i1=F{@Pu~j&6$8{9Dk=sM!N=$Up&Oxp(RJ4U?!Zn5H2@jEUf+ zYby@noNe0RFx;X&kHU?#?kL=-N{+&REd&Dkwr28uX?x03 zLbn9=^XMw-!_bDSbR1r_(rQT%bjW>#>!;@_R``9!-1;@G097xL-hb`Zkes{Tv90l= z>2iUDBZE@yUf|akB7MIUUh>)d{p)CAL6yXb;Y8xa59wq~HeatOL9mhz9Qk#5#N+|X zQGR$8oXzxTh@`)chREr7IK-8o!_(cZ5(pOGZ;qO5$1L&nXs3BH>_@V|Vs670!$=%> z=d>{0Rmxoa(z7{=A5+MSGZI~^<{SVMz@99T_U*dz&$b2wGw3DlvcJ)i%DfwB1>h-2 z%tzNdr0sWYS)^h1wwDvIZ?~r-R8kqjd zV1;Pu!ufv`pD$l+@_G)rHQaLcUkJnsTVuKSO5QY7WkW~p`cm6D=e$0Qh1t{t$f~O| zS-L)y;7^Rm#`ExuyuPC(H<9x@6v{=DX-E+hLQi6QJJfB8pMeU#1wOy z^re$bZ9lw0bN1&egd6aUWmA0B5j^CVz8hb|ev?Dt`rq=32we+s=h-27d863#;bDSx z&e(-LDk6CbSR6>b7;oeiCL(SWHyR0n-UGhuIT>#!N3i`b6Wn9g7{Onla=IDZ#Q9PI zL;S`oFNm7c+Ew4kRCv!_WJ&5=Yjp4QbTdeOuzr%g;$9RCz<$MV4o7;gQaF(-jwTMT zSz42qTq)PNiK9-t3m88brHD5ZUp#Y{)o)GVG&YW=Fqlxung-JmK|!({5frWqfS@qs zLT^ZPU%4ftM-8db@!X39*Q0(Ffj*l|1}qK8_2Be}4kt~LS>}$d*SGpZTx_MD@Z%+) zScMnb(&akM2xUzkC;iLpH&VD2+T?)BWIHxUwl$QBlNOKy3 zLb!BG8S~$kKT4mMe?%XudVxa+;aOOob*DBFgblonZb`Ev@HS>G?bZL7UcwR6L!AXo zPry0@3Es9|*Ptfm<=QTh~NqsW%n((Joz}qdk zHv~~{y}JbvDd0$3y8WKS1n{J|LtUb6;`I2!Th*~|inB;}>+Xe@7(9zgJpOjF?Q~AJ z5a_A&3*at&%1W;lO_2apTE_h($1Gj zpw)6TA!aB<8aH~Zn~o5V*qVMHqveBBQHQ#z^S7l3A-cWme$Kv006n)`kiZ#IbhQ>c z3|r;n*`62U4p|C1ptbBK@uQ{l-U$U}_?BCK|CGkcs2t6Lq%pP1;?L%H{umDA1}2nFa1t09&5#&TJU`qZcb=eINWDK6r&{{KVOQU$)%H^%4N3}uoTdW@aJmB~ zpTI&eJuMfAb;25c(D0eXfD9jbUZgUB-A0`SnX$CQ~5J_$(-wsoYZ@!R7*F?Of zS{U5gh}D{}H%x?y$RT^f$d=Wbp{AK+QC)Oos=Oj2IFoP=GV9WQq^!J?Ja#CY*7~p~ zdQX(S0yPfwg)!>!+lvXuOzzp_E@S$g#Eg^f6LN*jyFt5_4HrgC)?$@9ue}GL`$k~Z zmJ&$U8A*Jb(|c<^Fa`CO04nm{PMn!z#g}@UGMeD=P;@wIW(440CCvQ))!%_I0+Y5r@D^^F&Ootmrh99XtXG6pE--51@zy0yJ z@Pdl>Acos6T)i{-!a%Bp|FX`7ImwEGtOoFU)07(B3k5;#k(bzV$LlPMSaprNDdvE= zye)8N(hm*#_>msnV_*FBG+R7_S%Cy_ZKuV(in)!yHf1R4j6~2(dngU_zoU2Wylcyo z__E*C*VIz5be{f_hP_h~`k`G>Fyrq>0eF;f(7g|}pzxLdYf=H|qMcnDFpf>ORJ)yh z3SWj(>Y_h)O?pRNusWx1%k>zB_JQvWH{rRhh_|hLcM(p9hzV};1KRP2;6`tueq_X` zbL`rf84Bm54jLmdI=|U zUJ0$?loRLM0g_09=gK$c_-eM~3E`+y$|%dhdc_^6i8WikTtML&0k5?^Vzs}j-Xp?b zK-x+JuR+;+ZJm!~3gSObq(3}Y*b*)hvHNG}cF{}-K?1iJcLj`+e5kZgJComA?C8uo z=x#@=B3;(a6ys9aU`XE0jK?Hnqe3ylfh^BD%=iJyos;j7K}fUmzrZ|VIdkY0eVsIQ zQ^uq9s2DPAL(MgUFmqA&DlJD>)I7!hy__!bQy}$p5G(&u+QDysEt1Poe10AUDD2Cp z_|_^o=xza;)SIvLxz=USup{bRBNiz_F*9o;TjS;{>E2nrH1F;}IM!pbGg%|vowV6+ zf+1h}x^UZHi;}@}dTBw#8GPQM*kI)1W)bV!h1Nh2PV*3+5azpgYNV&cYtxUv3!G!t z$F3A6ALi@iM)DEkev;6xH1C@f=X%{?=|&rn#ufHj^{bzARQxB-*M!8QoTeBm4VKa} zTA|-Ci1o_68(D39e(FY9wr0OMzZiL^e>;k0KnGxwS{i7W0g8d!Sb3869KtgV!>2Z1 zs%YC%=F;eEC$)4e&zkgJ7UInsrQr-Q2&-Z34gp$005sgsvJo2YKXbR)MQA~Smqh$I2SVm6188Wiri8y!fUv=!<4Dcsw@pXx4Q^#_nJ;lK+-4qh-+N;j zFLEo&a1%FYM-KfsheEIcy8omDo#NwYov+fSmaaMGG833W3XWNi3p16unj=S4E>}ws zdZ!DMRG;)&6xzTf{EMS$!}#~W{PihQz&j5s4zGYt@=E8r+ywxK^PQ zH86adf|oaHJA?1U*s8yMFfUfg=Cu|?at`h!W!jRiT%8)zmpu`_gwBh2y)MY zT@y=31)xMbpmQ}(Z4EEgEowVGTRH(%#l=UXA{mI@Mx)psI~t z7Q!=#q38V8g^!5H7E(vDQZI5yzyinnA1z~Kp_4iHA9(Zc-Z!ZsO7mX6YZk;=ZgxIe z#ER2JsgoA*#B}Nh1Ud~rv3REY|F!qsaZN4XzFm(XoUCn^fkj|~(MM37!oLX##6M7o9&krG1a_03Lz$}#>tlioSBD@X?W;4YV9IG%U2(5gf*%Vqo&~4A;pEOp8)q2KIsDZKs zpXfUJYNnr!WQx)5br+?!EElnPEnJ4_7~*VVsLi(SJNIMQn})k$!F~Jjb@mb zLEw?@W}Fb!39Dd$yYHQWKjui0tNsL==XQZTj*#lz>bn21M#9FfABj(c>ab++zADZi_xKo|4tsopbMlY--p?E8t9a zCXY!8@Rc}yDk62MN4iao9cW^CZNvk)Gjfe?J?Y;2*J6W)O$+{}^vQx2qbGGuQsTF{ zuO9VU5S{V--1tMO{A+zd=*-KdH!SUZ*^G$Uhu-3?`?!)~OseHxkCy8r9lUz{H_#{2 zh4Rk#s~EO?2^gYypW=3k^y8?yf=ORl5_tLdQebM+{NCSqy6JM*sb!Qq+0;;l(NSE zEUkoAit^>C_nZ3gtj7OLM%)Rp`oTn&o))jV%}z}2olc-mhj&l7`4}3{NgL!@-#_iy71)zDO4%( z=J@ARvZ%;-!u`X`Ha%}E7T6L;xiUVwSK%YG2W(gxaxTw_vgj}7sEOO3X7e(6nj=jV z?<&HVeVi(1=f3Zm*!V6*`T3^JZ$>#>2o3sMW3~$Tf!X|I<*pZQMx)m~Cdya=pNg}G zN*C7S_vO6r>Dr8yz34rZ(yAnB<_uVHKHnS92iB_A*d=@UghDHl_@1hd%o)99f*ohY za}lg_opQqVkt%8zlk}S63%e<~tzFWby#kKGEMZ_xQ`2PcZb?FVM{UOuCn2-vOxw?e z2o#d-i?kdbEWh%l&j<#xx^o8&>FF1XYz#Mnbt5(&J6KS6=9gEb@BXV%P8h;q2 z8QL_gjs1FT*+?*7`U_)pjXc$ zXdM>}r6+Rq#=W2mM?uz|s6yAcK7_v7yO=ndpW|)<-fM^ZiQNV386dl$g2L zUAl2CJn#QPscejee^sxgjh%SvvZ}t9W`tvRFajm|=hxL82ml7|eloKj97$a%X5V8* zM{j=J<>pwo0I^NiTnI4&pHJuB&u=*P>S^GtzLMXm!8jjKQ21su1kAzcgxp zG4b4I#_TbM*6Ua*ETkN@x=2LTQ%oj~u||5KPwjo6_-giuTjh7kWAv{=sS=i!$LEfx zuI2hjUa^tO-J>~ulx~^>KF(2&CMmLyKRMSCL7wj_Vt=d;rI-A3THkj#&5E&iv!Q>K zYte2cW?fmlt4*?9tImwsKi@6Te0Vr_dwmb6%ky zAiWP`lku*)1EsZKc{o?ANz+1L@#fK^rpcDeS7loaH9Nni-vU z=KBXl_Ulk*PJHrm@2T#D#$M{v+v(B0C3gp-$viHY&bGxJcRmR|?R|I@1h3LlL1MP}DRXF()`wdiP-e##CCfxtycL$9 zvM_VyY4MWZP8pWM8bU#+#=yjKVPpAu#r5!N7;+!i)No%!c;Bvk0~0L*aI6`db+E<2+VE``w=F4(N0D zDfwDg5J{OWUM3tBhB(5dp1y5P!x_6k8YpQ0{77Q*bGrTj3HrQrW%o?mIiD=s68evpoU!rPKykmBc|;zC$ll$RbIu@`UO>jM2nf zn!Mkg!ts(Y4o_ddBqaa4pjkI*osW)##Z6QtjP8C79p9c3Su%i?1&p;8?jIYxr*dbr9=!>gpH#llJg73Uni$PSsfHCp1>H}a-v7?bh=)` z+h8w|TlhitW3Pn;e)68i!!fq|rKXAb&u)VKY$?30O;D1!p!yT!Bu~A~uHQK@&*n>} z?Hd7kJs^%K?k})XQtj9%(o|f}*yG{;W^}hdfjpJlY-FdZ_MlD>fb;UY?T{;Dj>#&g z)Ylh|4zcZ9Mg0{Xr6AkQ=xIxzCrgz-6%7yR%$HmwH!qfOH-4GHDfvqGOrF|3D&k3< zdV!wEYF_D1-ZuX6l&+{#iDr@jW0i9t#^n2A@q0E`#*!4wp%~90O4+u0dMW_1#@=M~ zm9@nv)wsE`eW8p+!2!n6lU6X@{cLciwgNYPvw`rN?W@zJRyGT^JAA1F~n9jQ4V~WDlB+(=#Il;fH?a zTZOExFV^5Y!mCy`zPM7Fcs^^a$T@|)pp#)L@p>mE#&o+NvxID|;!(vdH~KaqPO{v& zr#@5e=yEpsawVxwlgYF1n_b4#NQcJ5W1&Tt?$?C<)Tn)Ko7%V-EbN|_PbKtnSsp4J zd2Pm_cWDZB#Zx}HdXkA^Ye#t!E4#-)sbiwlQoSg{*YIITVU=EFf&MigE`_;tMD6Sj z9l24XrGenexg%dTWL$3VsZyAiFy7QHl?K)kDQjNz5qfScNU4vU&8wQ0h^x(MYONAU zJ$R$D&gyVhP=t_W@qkZ6O;Khkx9xVay-k{`p-4_?Sn?u5l{|4LJ!v{~IdeqNzqzi2 zL1w*)twR5}K_*Vw_;LV3z$nTxme=`t<1~7iD(kvQ7Ho-pAF6WANZYZ&)IPV;S?--p z#Hh;Th-gnooVX5ZRAqpN1xu5887Qb?DDU*?p8Bm)o5 zjga@tf_i$~m!`$#AGrRMn&Qv&?r75}V4ud=_FFS+r`b97@s`Tg&pKWF`n^=;$mX}H z7c+-6N2&WOA}J`>&lUq?PPO{H zmNF!pd!t4e+Co`l2~U>Bb;GG#fKvrDWLm*`?93LxR%8GyYbb4%)LO8TZGR!7=}EH{ zrq#lwebK_Od!9z+ydOyuBdUh4=xoexLr}K6wtnepr7X5zaVj#r8TuW? zKPx!Y(Bws_=)K?kB1VlQol`5OTzzBme6wPsZhp*}vi`mWCmf5Ej|`fI4TR^IYV)ff zU(9?vJp8kWFPn5YsmrL`(P2!Qnt}5HOWTMMRXl=83#Sv=mUh*}-xVp(RxJq5l8+x+ zCT`(mdpXG2(>7}{ii@3&%WHm`a?P5fH-=yT5&FQJt_va3L_?_`TgC*uDRVpIKB)LA z)Vv_R3S6inMsha!_0Q!}11EU-VY|lq{=b$(iIx$Lr-8ykapVYXb!v zjr)Kvu;#{$#rG(`L)^)Ea83#THv#>--k1#wkM!4|^RB8xn%RHe9Z9hsF_U8fL)oyM09O zKK!gPQqW@Gr@Oo|ByYr%K)ri4O8UD&iIhQUlleky4Y{jdfQ$N^mnZSoh+ovTTOonY zTw$`jc)f{Ia*X>A<@y2TY7MnDSnBi?nPs2jUCCTKp=`F}w zqmK~b#UH*;j0o5ZtG=2&vKePk*Oi-l>d%7CUCuUqrNg4HnMFxCVe%I3#k+Jchs9_a z`SK(n+NyRasGnXr5{Pwmrv*z4e`@1ps9iH!3GAu|OiJgw@OOPf@zq}&lCzTi$F#0C zVrJZz-y3-hBy^PZAC@2ddA?xQeaW{vB&gN3QtF)v5f62-o@`cU)GUY2Fvncrd9)JY?307yy%fPBQ zN)`9#EDjwx`@VqeCDY6n{yd$$%)4acfnX%N>_|aX4(PF6cSmFBJdh& zB`|%rbR!8LWL#OJ8nHBM9w&Bgc8`LQZK0*MnY`E5@ zGC(e2o4>CflMAHwlJTEBw=1S>)_n=oed>IF$pL`%aE=^j6-RsX_4j!Y@=XaUj0XyP7a-PI|?bbcly>?LX}P|oNg+S@p=IYm)v`fN)0i$rQ2nZ1pUJ0Be)JR1En0_Av-2mHSPO_MI&_9nE#E$j_(5D z-OpS2Gat}-)-bkkOO2ah)cP9ch*;ta*wwcmr$v)~`t|1MB4MzTx;eQzZ#(%3)QMBE zd#LsiqZX1;Tr@uw|7t+i-qs|oaWZkB00xbIiKd2b(|MtHUbH*&VAMbjRS2J9U!dws z)LhZ<(J7bpZT#-b#oH8CpoxVfLa3j*XDE^`63OSp$#Of!RH6Q>SHitI+V;n)`62MK zN0}WoY3*_XRb&qH5(9H099FwlWBKBTMf&t60G;JV0V6D*gc3ZlFL|BcHUfUlxhi=4v6Smq0W~zB_t{M; zG71GuE1-Edd!L_UT%(MA7k;(f2(n~P{G0DUh>eKJJ2}71y43ft8R)mwUvs}hw3It) z)(+506&ccQ0sFA9{HYow9%P_1lgO(|BC;8}%G#Ixc#>o5Pq9NtE#%HPNK5v?J!A3* zbDNEw;}bzoh4<(A>9si(or(KRpR12jKM~%fPC%-03Ww~(1h_q27FN7BGGU)wo zQS!079kambM8SZcg3;~v1rU?PR3!&|qfi=b<2{G(YqGtsJe{17%U||M+92}asWK3n z1?t8>w?~65P=@B4r%bLl^&z-#3%Ei4ao2Tw;7kq=HjbT_v&>ACnB5W@Hv2h1TF{Jo z`eXu5JEAQwA_Vj79tWh?)1pMUfECJ(x5APXhlgLXICpUO3cZhi#!FMXs^=XHb8@OQQjf6jYwp(mO#b@g z#LXV(v_kd%E$WRdvWZT+feu%ATr@WI+GQ6OrdOt`uPHzAy7CkxhA-6L7=q8k6eSfS zCErP=+&&*RlT@~JC++dHfDBGs5J1;I@MzExkbF$K2`Zq;}S zf6}GBVD5=QP`cWCykEkVXmOcbP6w|yzbk}&{c&o8+VL44#~C?=oK3XYAb4T0n0yNj z71b2c%_9hUy72C3fcad6`G>$%v5KjId*m&`gHb`_2$2T=F`IK`Glu!Ho^(xjB6Xl> zDL8$!EpIfWjSKJz8Y2r8Edjy2)M}dA0k@@UeQ%BA6x8mSyaQ z>3yu{0=DhV&BQX{gC;_JcL9wFOqUFU{!hUOHW@j;*t?*d8KM-pPOf|miy+6Trg*ooTrZ+Haqf` zf;=(aiNho!WU8-lP?;i4z3WlX$NlX|cS0?Cun%51t!`xH@ni|sM zDb?%@6?s8tLZ}RORL`?}Ur8zjGJEWgDgGOiVQRCDu1z-GbQTR?t5aDF)?!!a_+d*b z>dpZmVBlNDGn*bsWflz zfER~gl8;Ng>+-SExjyXY`~6zJ`zfq$#D_P0KJOolBF8N%X9l9*rQ!mlR|?0KL`61c z=pBqk9=avfTKgGY z#RSulR=IvYHw{>Fevc_TVg%;e!YT0PlGY^FBRjwkk@U)w5Q2S++?OBLK5Ft>qnwhq zK}{q*>&*zG;4$;kSB3K^-3Up1vekW!*4m z!?*5C`sp>cf27m1?7c~cFQ#*&!M1UEt(-8|VDx%j(5*kbaNz+V+(l6)x*a^1XO$t%zeN@ zndV~g9_cp_b_=y>5@@HX@EOt}eJpu!PP}hK479%WL}&4AZSPEf+aM!kF*p9UXjqf8 zj&A&8gU0R5WXSu$C#C4dpNc0xw^hidHz#vgEGWA%*-}uuVHxdmE!{2=i%eG#aWb|cyV!2>cq?EK0 zaM|KN4s%qy-#rp_xQtkTHYAX=+rCU){Lvw(XU`p%+G&X~^tjM>#Dy?*xHEmWJ-G@i zfEg@GElmsXJt7gf`B1vDMqgXTIHVVue++k_Imhcap)1>c2@NJ>+ZqI zk${$23}4utnO``uPJe404cWO4R`|T)>5&8g+pCF}(*fRw21;R}Y{|B1-{cJ-2m*m@ zjb+V|*-1X2wMx@_d0t9&%B;kYRaVg)4^~SZKrzT+>+0fd^lDFFO23llNxf|1!xs00 zwJPp;X@JR;@>k}6}C&$3~A1azxM2+*AgVzKGYha`hM4-C_LHx?D zetRRuDTe{fh0MHP{2H%TSBxA&q z_CW(x9@eNe_T)HSKxe2<#tZi-GGl99Ppf`J!Zj?f;=U7xFZn=jRl0Vrj;ohZ_^X*H z(Im>P{{YFtj_S!B@M%bJ)AJf7`wH|+)Nv3c?Xdx`@y!WQbvVFR;F9HFqy@N}xEBl~=@Ex$ z7UJa*ukKrQ96F&;-Mta)72yVl=us|n*nPO&k{9Ke^o1x1w zi4QY9HITV&bIWRBWxS&g3VR)-X}(p-f@L7uptYZO_~8_sVI4}UEOMALF7xZhUMZY@ z-KLy?OWGLJ(L~W&ag=}UT@Wl*nEbB6CuRqoMZ1#N;}`BJ#X?Da<{SLmPNqpYLz}kWm8yRYyoIw632{DV{}fHi-@!Ipiy6 z?lsNM76#&st^@&BE-~S%V??6Z0A=$61DCF{50^_q=DDjSF~JFh54ef8 zV)zIXvW~pln%o*7&-uFlcu%Z`N9&jJ-q%fX z^*Zwez9S+j^|dyP;LI*#((I?mNq%)qn5hG7Py4Z%Z+7-Bw91$ry|#nT>fdy13gN!0 z@)>O-zUOXu@D~KB$W*0Gd82P=e$a*YACqo??ln;O&KG~&Xa68RD6(<7MyA-+E5>j{ zNsTHH>YGj^Ge~^nbm_Gn z#L247NlzB6FDRf2k}eh}|Ew_llKU!YT)JnL$3h?AK>xeZP;tHo9FwNs&{5`j%{dXGXt+-Y z;7~&KeWl5@lCBzD1E9vHBM)^iC|82?V#+#ZgCDaykA%(PWvhJ`j_N;(v;iMolw>Ad zcGYl%1@YIWTuvSObUSSJ=OTGX-D7l%GfB^Am?P%S*SD~KK2^Qnz%i1#OTOoaZdk#e zTV7jQ>oz(~))Eg#9acvXpYA$R0>;sKCsfGM3ObiuX=Tp0=VJ@i!G}wdhMSW(c+KKq zCyQPNH`G2qVpE-2~`GgAGPw+jPl+o4x(?2(*G7kWBQ&e%I+tZH; zJf;f?`GyuIUFc?5Rd&&!94c-5rhEL6p@jx1%%YggDl27nMPOuJ1$0}14|txFd!m|s zf(ZNUx~sbGe9<0b(cCh+qhoWKYk>*f^GcOT!r?G9BY;1B1O$&sd|a14awIkog;4+_ z$56e0dYRvTq(`Xw+J@sdjTa>WWxeOYnSH^vz`Hn~D`xw8N~I+A(Df_lJ3E>MDg}k# z5nResKD9edzMwt2pve*cM2hOVxzBrZZ=|EhVZm&1<7$4)r4EoumsT2cq~sL>9~s2W zSwl12PKrwz9bu0&w|Q2-?X_m8m5DZ~L#czqc@WABZ%46xYuIFcd~Q!No@!c6({gO$ z_CP?fMl2?r%~o+xCBZ9GM?Y#7@@PE_C!qDl@y`XTUj;-FrqCfIA^-N zXUn47N?z6BqW*;`9k(wVaAF)XA%Wv9f!SZZhFNfL?(Xytgv5HkDvO@>EvQRkv88+< zIsZ91djoQZlEHzipJp{2Pw|WWki14vPMAL0Zv4bg&*w4oxUoOvXqXEZ-uT4CMK$#m z_jJCs0W#MT?BCmcOe!Px)W?#05Z%-rPTBm(vbKwZ-n&3UhD~_(WoOu?wH)qv)EbQO zG&mgDnKUKT!qqk$+TC?3!D|rBDWcY~ohR}>`s89>SMnyl;%d;^nVuAylC1B{8vg5F z7|NDbd$&l%B**cAIyg*}YKUPLVBs-P%`?=C#`qq)o-hw35Pr@@+Di5FjfP0u1hi#c z3^=(Ibf}DP85fP`L%mbM_#_BDz@Y2s;R$cUw5l>4Bj8ce(GVsayDPI(h;Ds=uIrnU zP(02x2!U?chx5~IN7kpG5L;4nAz*Gq)R@ec%nj%gJnU!zG;Ag$|BhTV?Ghd?klOl|4uGgJI5Z>!(Hi zC&-`hb{`q@brP@-$M`<3#pT4ZH$^?8dq*H#IQ+=WSPK|P1}b_JVTL+Yk{|r6<&;z7 zfVUD~K7ZM(?9%X~6J`7w9%@3p^iV@vQkCAh0(t#2lflDDc~snK%-r#7Omh5`)II4lKq1&SZ*p2g;a2>9CR2gzD&{u6%<@wA5 z(j~+5)wGJE(c)_?oVUwbVqNzTcKf1NEdzvW(FZ+8^#Dd~{gUVZK}oH$E|=~+zug6W zf_74`o*u?^fK@$sc(C#mAARa@_7T=zh4`MX6_s#~l3L2HW~<@s(bmaP^J+T!$?Cgl zb>E+X6{Mig(YEWc10^df^S-tq;g;H3WViJ)B@9G%>FC_+pw{a&Dsb57#5^5V9n~9L zL*vdy{3qDyGL{riu9)t%O<3!I4^}d<^pGVOU|xpLIOEw?AB(9V%zC+sf{+}2!c(JH ziv;Gh={_S#L-lp#S-X-*C*M?#+Im>ZR2Vg@Sjp zfA^@*dqJ~Nrh9cJ3wD!_EI%!l4> z1SOob-Pucdf(%b8sOX106uTcXH#@6x)*I)`QXg={wA<-mO}=9S8%2 z+=1Hz^rC8m%EaMF?cuj42sRe!A>;a59G>i}71Eq=eSUjK?=X;PZOb1lx=^oy#t;#S zn%mtTL3+l^0alHzzOV;;_>c}*n_I6b`nlIr5PP}!l(Nx#(iP8ehOnn$!X(cVje zcBFb896PZ+=%UeXevv^C+&Cv0PWF%V=e@_V>MG~GQFDD$BT;hC405wR|-DlYYq z(mq*9hR|6(y~@xh=%T69ii^R05i=b>2vv3H(;w2aUmgd`XP{{qSDLr9mOO9hQOFK^ z9ZRjQrk+ThD|`)HDpCf!+3QLux|cud!pE*hkJyC$q(@bSM~`;I;$X%Nrbd}sDBCod zgObRDzFSF(0Qc)FtDBi(SZoRWCmHS-Ul%L|FLR20{MsCbv!lZ2(c9$b4-E;aEqJ|s zt!rLa%1DN;!78uEcE;o9zlT0npYK zoah3^+_)!QJ-Z~s|HH!EmGCf+({!ffEN6-{^dP>>Rc+$1zmNZ7CqB7+d3NfHNnuvN z%9ohA`5Cc=sRc3D2U#m)Z#H?8U(v$^HS6`E*IqER)^l*8=V)lx4nZHHR z`{{1=kA21Fy-k;k?$2wK+bj4l)!~zuEf=SVVk^^65A_v$ST0^!SuzP&{6aLDEnl1` zXPGRIRhz6#^x;kVwy3Uf(-y}&r(0L%vixbqy(@JJ%S466I^N~U^l9FJ*(?RWr9p*q z|79u-Pe}_1uXuF-Y$5ygsc88((tRt{Q$-3&rM>I|TRs;h_c{+xySICyS7?K81Mava zdiK3?dFHq6hJdUNzNh3|?O5)5+*CdHSiAZ2>1L3ljvr>#m`~ms zf40Pvnz>gjN&_Ml`>ai{cuGZG>J5!2Z^v=%R^A2^D^G9qiOwAvzF$2Y+a#J;tu;}1 zKYwF&;@3jA*JZd30?uF^hFTk=!OKkpDb(E-ld(UXOah3Tlb_;~0n1mWc*~c%dsjxY%KaBo zE3Zq4SeT>)%u>IYw9~`~7rqU^B(efrmgX04DJ;$&n(>YFBxLX84b(ZC8Q?56eYmbk zVOeZUA$FG4!r_{$n~R01J#^)0X2Xh*fQ!SS3nWqkiCn)czIxXHZnS<+YV{rl0~b@X zaKO4*!DUczvD4OeZWb=!Y-j3bp=@F9c+CPXFVDJK4K6`0Tyf_+_|{F75;KKQn>hBa ze36v+ai^ zWXka@7gax7a?JMXIia7{*s1d30dMA&a(l_E5+h(74WO+dY_x0y|b-Wt+lysG|nHjMVr$q|F-s@?m~~H zt%frAci9`X6!T6Nsgv%Vue_fo*D{|HJTUf2_;kKCGd@YCz4%o8tvb|!&9Tx#8hSzM zpC{X|!7hd!iE*}VQlc$kKgTpG>}M9e@DHs*{nDz-UQQOEJ&q1;aIsUSt`>|dRV5uT zUn{I^VPmT8u4U@rDxzU#XYK3`J!ZW96>H-&M6;m@^y_P^hy$4EBws19fv37EE zbb%uzK|PvqF)ep9H+n5lT}W0jbyIs#&cCVxlymBoBMxo=7eR<4&~OnX3IRu;(c*A~ zI9eKr5xuGlrfx3Q&_m*);^GKU7x=$^Wds+4h`i|HXzmJLg(zVaQ*i(iW$l24Lt@8h z`T8v}Wot`I3l|Fqa|>5cCPG3SE{21PdBKf<1j5C1tgpFQfs&B)l7LLE$vo6ZNap`4 z@;5fnY5n(Ywll@L!e!8mrv1y-!^IR`%`HHO$wBvu~u$S z@93^w!o|+Inc7*KD>`89EC9V?T5cBh+R()XQyjfzpkXL+XsE3<3u-6SECV=NT>O9H zVEylwgG5NfB|-m6g6@|_O2g4eG^-3CR!UkNE+K`2BW1+t2MW*${SG~kL?akyq!jf0 zzdBggen*05p#v&o?LZ-c+=)XBkd_1oC`d*cE+qy2MoPd@pmHhbKuN$QWKgW&fTK}p zI0^*{K_lT(lHgfsK!7;7hR)FMNN^w!a4GOURHlry3^+6HL1%hnkW#GB86pB|6m+10 z;6d-AK*JejfM-Fy^lPLfV1zXNKuO8a&oWYgUT`0ckN^#2)GG<4yaL9GcDq=nU0Q?=*;kfCj)=R;W%Cc!$oEHR7N%U4EdNB%wdVAr?VoLrsIu z;Gp*lR2}1BMS&*L--P)4*99PuQG^7eb`(SvpnOdX*1Bu$47!YUjSxCjl2Qop0;3-x zIrtBxLT#c86A&oqt@TnMqQu2n>A$TOAcK|x1Cnt-g20dgNDltvLFYA)3rHq@Iq32L z$;8@0mz7nSfaKxV1EP!mHz)&=jkN=6Ia*vA^dX=Xl7W9XWI!Esxj;ai`s-MeiM2D3 z1wfx9EBy>z|8mg#n(;gI%=!Vz1=Oq1`7i4Ysna!`hl2xN)AhU;954~O`b&*Stf`T| zw4<(unT>@xur}*v;k2WRJup7&3Li*-h$I+42q_s!pofu2pn}&x0#XJj$bSP8`XnU9 zwZze=D>VZWQs@miF7J->yYj=?j)YxRyoN0J%(R!r>ic)IDDkT%U&SQS$bWC^RlB6C29NdJ4VhoCZomK3{@{i zCXPHcZ7ut`DPk%`lSW~GkTjA(0-vbcaO$AtKalpT#a<;1DGAi~zhebTQ^sKvV*BtC zs~`NjLnoyje&*g{`Hq+Edp0_|X+DtEzwA*L6nOdVh}&H5!;alj{hk(qgl)CyyGJ$e zoOw~A&DTnamB`9RVK>!iKL61Ftlzozrb5N@RJQ85yzH!j8Xi1McQ5~A<#!U5gdYc^ z8^>N-8u&+Bzr*8hCkVHRRO@cmYu6+e$)Fe z>%yBy51n-i54m{ny2p)!>_3;k zhD(*7_+!XGU(furJoo5>s^bzv-nx@+w6^M7Y?72Gi{#eryCp3m?pLwA>X5nfB=(Xv zE?+5XM+2gokG3aR)q4{5)%nr3`lz`j_3NZWoI(ao6Xe*iOb78T?Y%Q!SSh2F?@$vR`=u5i{)0at0aV$)hE}uLSE{4;1a;#ywydk_<8}{DtPVNJ~*a^+37kmR+^4_tc2}NDRdK*b{bgqc& z^@6+-u~+xsg;)mPdT;%xfH@AstVC>naY=~__NnE$*0I-Jo8&|D9oW0g-`#>Mli)K{xp5eGPt0g{jn?z3=>0dgFl$R6BK{zbKa|rr+U&Mhq9q+w zw|^U_%3;i0WJ)XNu)gGHiQO$#92qtnOJtYC)tQ($o$EGSOFs7?r=Q@MJ(;sbXMUME zS@m-CKkx^Fw`&^rpCS9H3zsha2gnXFZyl-w1^NqAXMoIKpgI7%{{YqDt5E%KMgI;` z|50N@F!*0Xbk<)Wx&-7q{_jC_U`oZjEnFPoVvY{Lp>XpAS8i4=78Z2K&bkiSWqvnG zYYypOM(IC??0;)JU@IM}BPISzT=>5N)g>i>R&^3Y2ZFVF5E9L9lBnF=xgWyF{n;g zt80b>Qj>I)3xYBXMF~2LuJ<9`DM1gCtg2KA2B!ZD$^Q!EPfNf7&GZ*fBj7;!LzjO& z`YVoBMEn|S!MUkwxq-+Yh*Kznm&D9X;RxtOF-3|0^f3UWRv-JNieK>XU-kZi!~VMY zE3i0?5cwsdWpC}^?h2=SD8Ev_7Q_6@I9xQvf{>8ddFyNRz!0OkP<+YJ9mHMe4Ooqu z0GIVIGpz(dqfi*^7%+lPc8+d#)@E=Iq^OLj#BsQlo12sC2{AGI^`Ar?U9du|Vjy01 z&D|V?K!1J9>6#_n%+%Z#)UsNF5U3q0-rCVY8RF+L@AqU7z#K#W*6Rh=XwbpG-9rMe^grH1BGKsI?}>{`i2to#BpN8Z-`A%PeF`@O%@f<&Rwf8zlXiVFPpE>aq}0l(dof)wTN_mDDwqeV&_gu8xwP8yB+ z+jA(Xzqc194MJnTy$ga+zw;EZ1wg3ZpOcdM8?R)FEi8hGY=*{0Mkbcq#S>Yim;tA$2;2Yw delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb<_5;w#S>Yim;tBE2;Bex diff --git a/dev/_downloads/e8a5010f49b1076156ddfe2fa5fe6189/beam-9.pdf b/dev/_downloads/e8a5010f49b1076156ddfe2fa5fe6189/beam-9.pdf index 1c8155d92bcb0965652bbd3cc495a5cc6201a4e3..fa33d60f86ce92411441d29220e0490ef8ec322f 100644 GIT binary patch delta 19 acmZ1*vo>Z!lNOtyv5~Q<$>t8NrOW_H{RXrE delta 19 acmZ1*vo>Z!lNOtSrLl#f;pPslrOW_IF$TB* diff --git a/dev/_downloads/eb990a3106294a2a2f898aea0b429ab7/matrices-23.pdf b/dev/_downloads/eb990a3106294a2a2f898aea0b429ab7/matrices-23.pdf index 347bb24d1231116a5125570b5d6ebbab13e3bef4..be2d0ab70ac14da521a8de7acaab37162b847f34 100644 GIT binary patch delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bI%0jE&8=A5UVDVg>-f!wRAR delta 30 mcmaEOTJYg%!G;#b7N!>FEi4C<*bFR<%}ourA5UVDVg>-g4GO3L diff --git a/dev/_downloads/ebf272f79479d63cc5b71ad0f0e41f7d/fourier-1.pdf b/dev/_downloads/ebf272f79479d63cc5b71ad0f0e41f7d/fourier-1.pdf index e8ff5bbb43d96fe9ed485ee51aac734535e0167f..4983ca7aa67f9112cca02aa88040816ef2721580 100644 GIT binary patch delta 19 acmX?5cA#tnuLYZ-v5~2f#b#j(U1k7B<^{_D delta 19 acmX?5cA#tnuLYZdrLm=n>1JUIU1k7CJO$JM diff --git a/dev/_downloads/ee22a6375b132bbe50ac86a0282c8f8f/fourier-2.pdf b/dev/_downloads/ee22a6375b132bbe50ac86a0282c8f8f/fourier-2.pdf index 454f0c7b7f8861d3dcadc37a88f1a706e10d4cc4..e085322b7504299539f33dd8e48728b4574dda4c 100644 GIT binary patch delta 21 dcmX@Oi}Bzt#toMu*$j=1OpPoz--yg)1^{Ld2w(sJ delta 21 dcmX@Oi}Bzt#toMu*$ga=Eltcf--yg)1^{Mk2xi?H>zB*@v`Jm=u$+&x`zAPC4t62rx~m+_z{%gq(+4F7JLiOQ^^-dSZa6Qer?<(~ z`wDcU*8lv#$j94XPJ?#?%-YP^-POfk?l}LWVX(ikg};-(tK3okg>z2+{;s~>a+=V` zO)!gVPFLK#QF6xw-}?HvSh)Jj*@D-eGy+X=4fdCVo$>-r&=>q~Ao%~3oc;eaNB#fV z0jS+j>wR58>-f!wop<%~3Gj6R{ejvK-hbBhikp+ZPcV4nVes$hvBQV7JHA1Hbl@)8;qtgtxa3_@oZq`oDt#eZ4$-XI#Be{@3Kx1#dKR^922sgBf{(K{)B^ z;&a6nYPO%hud9>Srr`AWs=hWxbsjEAFMk-bF7bWU){51>gEF&gZgq97k6Zn8)#Rj= zOl`i9@`SPbI*njF%2)5zXohOYSME4wsg%p)a$wv!{1Sz`fa8v0xJ1n25*5!*!q{`! z#AzIcOJP&+iCi{@YsY0%pbJE8jv@E-D7<%`ip1ibzZvi5>X7i9e9RIR`~)<~eCk#f8$-rq5NJ5=^nymi>;mgHhcmrE;v%_h4oZ1WfxW|Ek%H&;A-Ro6?j)|_ zAr;5v&}g#UMdB`Ud+0sX0_7XyfYsOH_&YmjFBoD|@d`GZwd; zDb7`k@G#z5ayCX+tT*?Z=Yy}YWgX5rQHF8qgZgJvbaW1b$K?NIPotB|&wD!QecOgZ zpgfgH(?s-K@EiPOmtB2UQP!)8FLuHHOIN(b$u2%oZ;y*#?tA&rSGczL$##lM>#q_c z*IkmGSMp`hM1!!3E4@*wu;DiOms^#GoGS137rGyBkxu%i0*8q-9?%=nV~GYKt}O0O zDo=hG;84f=CO+jUA=C{yoM=3{OQszdb0j4E_fH*(4qbbhq59{*V&8g zj{M@6kZqMAj&97HIg<42JtH!QzS3YrEi*U@+&S%C(Vno0+ys(o|;XM zmie}&^g6~=$Q)UU&kAKcpA#SBx3KY)s6l%qzwNO6#(+1HU6IE9jQis#coa2u;&fa& z**qjFdRo#W(VivhNTkbf|0#= z9I?3%z4hs^oyc%r^cf_%0IQx&-7a{q$sUAafPGE>^xMiB`b=axsT{hR5lTs^A+rhOBbF;@q5+yYRX@tPb~Sdt%Nt(Esu~D`vnaD z!J{x)%#-%BPxGtq^9M<+Ionj8Kil!8er%kMCEva(;WEVEi;nbx^}a-dH@NAY1{Ixw zPP|4rRlaFoxX2QPW&^yp1O3GAmX5c;M%2>Hy_N^v#7Fs132z3$ZFIClwqk&dKEHVl zD*FON8+gM~8+@vGq<(HM|JmWQR&A9%hXgYPGrop8k2wC-UL-BD!C2^hcJubS5<|sN zvAeAKQpt{^W$(>xqQ*uU8=Qi#>VC#XscP41Cl_U(tq}~R3i--8X+wcA`!vp*QFAh5 z%Bb=kgkVV{&5PG~LnlI>lpOfA+=7r0WFDH{T_pjm5WLjlv<=glKO~18qAd~vB>S@; z1(MUa$B$isetn4QLqR7tem$HtpfD8%*1AlX6gR3Zt_;{yn(^Pz46F3UUz?%6jXAM( z+75dU()*Q1@}f86f2l|1jm2)^eI;5sBGYA8@CB@`X80}U)7+;j$9PYOp1yuZChtg+ zvcXjMsj%rsT%R0KFd<Q;!sjSOCd11@y+kKMBme(AxiMcqND$eS1-hk+tz~~;w)(1_z8VDZZ zhQ0p^S(zcDbel{0M_FhY@+PsKQ!!f^$se1>NY1kjqCCHr|M#$i$Jda^9ql~Z#HOT> zrOc#4BF}E+n~(okYQUu%83)~tbF#QqgRup`?oUi=+G$#P8AEe*rZ%`L-^S|vo+vOo zwXoop@qDubGd!CZ6Rqql$}#~?i0?ja6VQ>XNxzV0lH3iMC<$(Pa;EV0NSK64-f&|V zVwAu+&D^)JTmQH={joyBg|=CO{UsSL$00SvuD&!lgCxxURa_TtV{IKdKQYOgYP}^H ztD|p}|2nn*V~g^M2v3hYd!_@_Xl-(zEyF#?l6{OeBc7QSd1|~7>UnP@UGwr=v9VN6 zOn&JT*|XO(zgIi&iJLcjl*HOO;q?nmHe>8=cktbXJMC$hfk_oM%XvNbcc?faYie<% zD?C>Ac!9$=X4+li?fH>*M((65Lm`Q8?GFfTS*Ou0X#P1zU zo6{wF!^pEb-?~C4;pwYz!;P&PqjM2Ow^MHOM@v<{^A&yXRA=TTo1=SXDqHVqd2=Y2 z*qRbzIR%|L$Fl70UNA~Ay`Eqa-#|3=z=9mZz$)hC2UQ#J}n z_J-@b9Nkq&vZ!yhdw6p$Law3|<#fpUjor)Ko#$cq!5Y3=uf9~lA#-$*=kb6cE5ebk z_uWD{qiPtcP)|Su-J%doRWE+I6r;Ulpi&P^IIrOp*pss^gVVaADo|M)`(X&^lR<@P;K2xKR#;yq(EnN+JjR<3NwNT59AkuFetDqhJ>2O!vGN7}^v*_FoH z!yV{=H^B^+>4T(mjfSf5zTEOy*#=4w-Lur7MK!ZRFV6wNp>O_uhaz-TMXx?Z;ZCkY zK;C-vkj;hsV^6G-R6TPc6QF+j>Xzw%7`Di?S8Ke8oK{QPdNN$nhOS&KV})S(#e8TG z#O2~ecA3embrP2Jk6U*~C;n1cBEiZHsR}%YdE)(kHg6>UBnMQeBZn;zi)-?|Hw>@A zSO4=tScw;jwRYQFx{>BOyT5kH=ogY%+5h_=IQg52UVYMfRRjY0?VZBge(q;}JSyoA zC5DKium!ncDzB%5q506LqrBV3kmJ2>VLDuf@;e(rwOwMzuo!Ox#U}5<-yuZB`*g8l z6Ix%VbQ*VbGb%rS96ngRnO#|bpm+81>bX!{akxb7pmJ&DypF!f_=UhaCw0P$|1`X~ z{q&5~d43-r24rqT4%hg-VYv>P(I3-2hiE&0*wr&V?C6Ewk#$kVv_nUN6lOjQ@WP6D zhI2)#EIMo8g03*3xfYEtT(BFqLGV!zCEVvmTbvgCgNZewcX!`UtjVjfi6?} z1>Q2lHATP0avb*2#P$kP=j6OSE_4Sx=rF1Zts5{>$W&iv=HiH`+Gj2TVL4ZsPDfEb zW?D3$ayHQw+7P*-6(NspHt)IZggmw>e%@>c{g)MieJ4{Bo7u=vLLe@nbrifk#$L6| z)S^B8uGtS*Y-1k1Gbxod*ySp0ZlazQwneH0t%2yW+(ox~*ii6zij1;W|r2;ETdID#rNG%@Yi$9wP&!qE?1<6WW`FR zY%gJLYkaoY`SzG)XJTMyzSIrrxNo2IHovJIGZXpn;a#3Yj)J_-`rqGbbvDOn5GJlb zj{Of=|J~d!2&1{me4&=TQwj)n;Z3wt_|Xu!-+AMWz=D8hL;tCGmw2otiej&~l%Vw4 zl3nK0@NNZEhDk@~^g5>MLiP}lhj@t)HSS||W|vrX67(K!3oXylF$Jsd$|6xVYMUTR zK2N%E7&&Z`#7=1G_VKFoapJJogSbXpEIl?EgJSQAxh#mSCR+Ka{>xySY3-ZN%!JSZ zz~r>X`P^KV@Q8QDM{yV%PhAVp#M}hU_|TG1#Ks3JfO%AMj8(x06v#nZ%B7muq4qH> znIr65l<9uSvB)R^*eFe1>;myU%d|H^oRd`%Ti{}DL+m2upR}K5eQ%pxRUvj{GCu1( zHTl9tXk-r_jVC_gT;vRe-k6khgFP+Bh={B&)%5$}I?D72LPbX3b<`fl-u;k4_D_y% zBiBIRoxeI1++UC>`Q~uh`?N<#nnfCisEl-3Ir*TtS5@;(T;}DC<Vfd>qt)iagBhXdb(?N1F~&tyv9+VMb}_ z-LJfb0&r2-wQ%gY+MbfPuli?(!|y!weWvtEKFIym`)l&tv&s5XZrAeXSoRO;K98+m z@m>psAI%JU{73%q#HT34W67F$yVd2kN|W_w9Q-MHfJP^~F!<1byNB_eP67z2mb{&E zO8>TQzz=UYox8sSf_#GkON_EXpJ#^=0GfWV`*k7gAieGdgu?+1B4TZ~Tmrq>&+AP% z?|q;*?2srtArg2r9+y!5_=8fqpNA0vGkX)BL9fJr$ou{A9t_suqVLCe!=`dZ}-|^ja zl&OniK3vjK9xl0RdQcVF-*yQr{QSPc)K1Wi7A~iA0P%dxSjv!WZ&z^P8&+w!!X_yYoKTpDKYx(ZDogz@Jz{Qvvofc=6WH|$O>1Y-tK zJf})xZt`;gcX*bA&%I>BpH-@;5k9BnXA&RbX*U1RD z>f=kv(&#Ls-dOAiVaUbo{8^Egem8Z=B7xW6|z5Uk(-ouCPvf%EZ!=lBc~)geM-tY|NOfVSY@&yM zymLgbyV~F*?0qwt20zJ)L&y-#QUr5Gh&=t1Z!OwhM5?hAQA0+NKx3UT@$SN4Mhoni zy>shPG7W^VtqK?#!^Asm0ugcVE%kYoWR_Q`UtV^HLrz3J`oo~vOR+i(R;n>1HLN;h z0sbQVN8aC^_DI4mQgxsy`Q0btiKtYQA6om!6h_l^47ma!d*9Y~7t*_2lN+)qrx4 z4zm|_G@RM{`!@lRYn=aK^nm=6FlCSUvrXw}%fXLo`I2bsrr&Bv4?kGBWDbC>)5`@808YNGZ5rz-d?|6U3=I&?7`2(YsjT<&80y%3{tss9 z4ij(t{=S~K4^*Ck*_25PETLCyt$S#Tjl4rY$V@r_0^3Kcte!&v+gvc4Akv>DD3(sp z8kfR`yU!ki$0O+$|C9|qphrM<0osjL z`s^jLr=1rE-pR=h zB6kSBShWF=i8!VTcCrvMp?21u*PU9WS@nDwl_}6~yPjgpcBC{e;c0>b+Xi{cS>I zFvY(0Hi>1n`zGs!xwb^q}OW(t^gG=<=)=RlPLL4Hg^DW*PP?^Hj5p_#$W&%$JHYMl=3FMb<%J2DtgA zlY;gm+BnR$vcL!Nv|0P>X8cNC)XKsTCw^0Gw1yZhf~?fRS+$4iic zMD1;~ICoIK3n&Y=`=Qp8RMmNX_c2y|F=FDnuBQOVObWr-OX&`5%@6hplZL`f`u=>V z=Q}S9hMAH`+fQi^n?Crs2gW9(--9Ly;4%0rdn*+*h}Dq%R>N)Ux;zznEuX_ld#-G_ z5|Gn8cynvMgm@hi*~`Ng+z$MXR0vy)=geJ~d0~gjxSA}_bbpoc+lF(7b7IOJOz0QC z_v01sZk|~NtKCSt!Z*G#XmE8=?#l@4dd7=n00j5|lrk#L^KTgGko4&HQ~t<`0LXe)ysUF+MsUDx3OQuhT3lz}#n&op~Jzi^%QAy|4gl z3j#POPSB=4KDHprU>Pm1m(d$)(;z=QB4w7^F5;Affv1FUMmhJmYZ4#4KhTe?_TRT+ zC6&IH`6!b5yBcdLfDJ>K$Xh&c34kL`kLu@eoo}fyHqGpyoT^zm%j3`?NBygBnYODn?_%=8{uHIqSm#yXhD27M&?w84{EM+QXFcWVu|oxF z(fLaU)gy!+0+*KsqS|Erm*$?wxlhwWPHLOMS6AEWeTHP@vz6YbuNwEO7-<$$xv1O7l^Y>{r$DSeSAmb*7fpMPu}-0dIpNUc&+I35LZYM zA54mZ?D*~J0!t*~bFTB0dErb;zS>*!;7a^vdW5X_btlnzZT!aT7PW^`RssFr-;!K; z3KLjYwO)a`%6dxPTzL3QCSmoZ^P(zZTb+%?hHDDl{Q|Ofu-5$12{c%hYEu_5Q7OJ_ z=}`8^;cmuJS*Ei;lMu4y5d3KeAT}wYkK0~Nh^B`aQC>!4hqF2~7T-~rdz?Z1@c5Qp zAI-cTA$IC;+22Y=B?t#smx3##fQa6Sg@QdIC&Mt~E4@SsXb?JjUDK+GW}QBl8}|&q zl(t5gp`NZPP24dJzXQ34dUToh@gXP{$LkbCBhuwK^iGeD7(9MWD89$$JU8!nb&a3D zw-vjZU{|a4u$QtYWj)vJw5$+Hrm^YQ0;l`RLS(9UlV!LGBjl#{-!SE-=_}soAt$)q z_+n&?Ptz7NgfTgqCEfrr5?Bts)c!{jKq=V5jn}C!ra9jn?xlq8+m#+7fuZjE>_w;` zfz6GNR+NuC(1Mr<77N%5UBu0Wd673oMzrO#G9^f|*06=0ge1aZnjvfMxF`<3sHGIn z-a`@26+#cSr-MBMM^D)BTWKtH&uZ`DJ^1i75LS3`qKiAedM-B2XT!^e*C*}37L)hR zJ3exEl^CJj5P>{eTyt?8 zo!+25;yr^i`V~C7xOBDU;j^dcSvzeTi10l(Dmc}WST^9CbF=;g0IBb!>Y|he9QPw> zh6PiysSK7n`%zGRR&e_@H+YQ$lezCO4j!Kp7^H!#d}@nj^;uFPf_P}37!W(@99cII z`t|LOu=6wqNB!NGG*rO-Mik%kv0ou(npPY=JoDc{D8eA6k2|p0wWv#Soi@r+$!pYwVN;?Xq z%kK_LOaB%;E*j^D0XQB1XuTK;yDJN9;b8V}QRPu5OzSi}6GSjU^bWO#2xjvl&CKSp z4C`pfhH^(GFAy(%9{%G?GO%Tc$k^tQ%!0lyM;7EG4KZ<MGv>7$DZHywm6Eao{M99X5R_`{oR#x*UK;92fmB*sO@O?UWe!pGfeBZNCQ>w$do zDGwnvbZl-V)azQ@EdTpX3({v$ZEJb7H###N#X0ompdcQ#aN95f)S|a|EF0`xL-Pm% zJv*a5jp9%@;eZ|cgjbVt32`X2zPwv{%FqF)oph#`#9%5`3KL;HrMYgI2f&31d_G5f+$$ll=7Tux+YlWS$aEm6z-{J5y!xXon1k)*qf zc7=%(cAc5pK$k-HInj$A|3cV90q^Tls`LD#iq$VNU6x-oY*_k9Xg?4ESEVCocp#|Lc&?{=nSnQgMU2K=R!jJ=)L5dlMBbDa?PUFMeq;+cYiENmZ~G;%Z=O(P!c4F?OA z*YwXkRv3GV#Cz33_W9Pd#J+}4RSYX$$lm!7y3LsJA<$^@b|3wC=jIO|4x9nLR_$(> zsCdQ2r0gBP4m!lQBG0<`)ZALH~H;c)S0~QyF@n?Se0+&kZYaHMZR3A;^xh zE5(Diz}7im;njHK%?FS)vys`H6@koUVcEfPO*ctEV2CMPQ6=f7^t1x= z$RO3P^7-hswWrmj|iB1YjoY5$;xZ{XdtkT2>Zgr#`Ci=-a7R}c_Bh;!m&lPGT5mI4TR5rJSh+uy9YqO4KO4vT|;0_pS_1~+?(zdJA{4-i>7YYCfp zBuay+%W^@#5iK$#ADLNtJ+>+L+A+hf#_@FhLT%!KGtb(QA;`vZDH`szHM{Fysm46c zq0z#TH~UHW51PCzfCT49snX~Qi6e3UJjJ#}rdeA{Ajt?g^9lgjc4W^9@U6Y{kUwO8pvtFSlcu<7X2XRT?`)9uEetfUrN9>dBfmCO5O$#u}c zWpo4?HA9u8NF%J+a14W9n zr{BC^pVmvWTK_r!%1@fbz{z%+0d0Sky>^`;_sw8#gWYJ~U8_F~R#O}hjg(VRFQ|H- zD%I0}jfsAKTKi94zv;7JjomJ%K_yL^SP8 zce@A>Y!uG^*f!wHx?DHbYv9W~EnN1z2@v5d}hK)M8mEHv6 zAEbbkMDtuz_Os*WS9%lIhJs4x~&J zCBIzZ)A5Fv_GGZc3NRNNA~+sH^pEu*exCSu52H zU_F?_JZV}^pfhBr69WVQ6Y4_q3K|@86`(f}Dkb0M zw*!brXd^Jd!3WA~f+Rza4poUcb4KjZyGRC~FsHQU0}`VdD&Y-I>Ol8{Oc)=oH|urT z$vhPrD9K48!QJl--@8an^hEO`wZnYaAsp@Y9=l)(5%QnkW|yMWOy(nfUZg=n)7yVb z%=MGX?6(dbEO>379ogOTCEa7^o7QXllgN)_N!kBt!8~0DKFY&1M+g*!aqsyiuac9qye;EaQ_eTZ6d{^~HS>eCJfI58z`TV={ZP7~Pg z1}NAhB0D>IVW$3Y>EEVSbV2rb?812EwL~R@+Ii!5@5h>d2}Ze3`xCbH*CSxaapIh# zI^&8Y;R^gz$l~Vk-_HoK#>pKN~9>JU1t`N0}vsaR?{sO4axLRn-5BT58|&~hHjCvQ3u+SD|%?BP1aF6eF$xQbG= zQ8I1syHpJkGL5`uwRf2BSEiLG51uSD^ef%>;E1gBTVDj06_IYQ{@VNc5SV8`>S!M} z4uei>sum?uBK16PmHmBp_Z~=mBHVp8sQZbxgzpwLXgEeVsO(%3C}ptAE50-ug%-r4 ztVS0BwdYPw^Jo=yk&J#rQAq{Ji!aw@5e0EviQ7T_5TGix5Mc?poW2Dh(cB}jL46!Iff3wJJfW#!KX^AQZU>Q#f~3K`DI za$RYWo6WL69e1F&y{hB!TFzvD87OR*6c>Dl{G6RwX%}k{(JSE#LCrs>im0=3-}_JZ51HX zITF4rp*jd8Kk-EA)_z)i`bs;rwfXG;y!#!vD&XA<2yhiEvJY++^JW)SE8p3RzHeV` zO(F0gFoyPB8WXV^s~Vqzeq8bwV2Qc-yD*eGl;%qe_|_WAfDpXRXm3Yi4}rF4cdEcc zmr^-j;+q7%ops!U>2kYC@II5OXrnVc8)Oq?+tA(#(#TT$2$Jxts*bZT+#k{pd)pm$ zq71Tkzl0^u!n;SyE$!=B_)_ySbYRn!lCAEoQuKv+u!jT)wZps(RUvUMkGB+FGDJ(C z;r=?TW*wH2$7!~S`!)%tp}Fczw!739L8G*`mOSy((B=a;OrmCX#Mc5ImaiEwxp!8x z>X$y`dNsJeRT)x?;iZoSHh@oP>&t%Xz^74ZNQ~Yl$+3#pD+?@2qbKWVew<@>;ae1hT6{(06eLY4A(A^zs{j{}OWBP(X zCUkveQGlxg$BP#k+GZve<)#$sixl~lY9`5#xZvI>Fyv4ihOP?Y@c-wl|37~QLjC{Y z6_GO-*&2B)P##Q=261IZ)G1F#ZzG3RuXb7WBC5L&-XLGjL(MIifjvJ7A*$BP82!iT zim`%y%cgXA>$F`h{HoHjy_$~eU0dc@Oi90sYi(}vJPd)2mZF4yHNAY*<}xG;g*Blx z*{bE=Azm5 z518G?^Qv8bVED-i^E3q@bts0WdNP z`?7bG-)0z_X?(75`4fR1AvLVIv$%PkK!5Wou*=!41*LQ5aG0l)zOVHp0(BD^q|>Oa ziA@*_`n`|q#z!Ra9A^33=w-WE2J^1+fye(`B?)=+*ASu{7wy%el)%S@;0epP5V|Tri~qff7wP9OCxB(a z4a-sObpmos)NIR=6luq(MfW3++3TuNq9|K~hNaU<~%u_xkkU^@oeRI@A?5_A{ zQonmPhHT$F<6Q@`zQ%-lyw=scUu#Q`=qXuoCLg@`lNQBgeO|$o&Is8QIh+nNMOl~BHq;kK=*+{mdnUTkL2_YXbm#6F5-l$*xWrarCY z^S`0bTsN^)AXHbrep|hH?*}z=ZSzrlmw%M><%*NNaaX4z??|>C!@&Rb6`<)*>>~NZ zL*C-%(kXuFrd7oYx_S?}a1)5Q;QVp}yfJ()A&XjL`Q-&p@y!U~#72(@BART)Ap$AzzF^&$kvrYhpwG*J^YtQ=Aq&-`#7%G`SO!qW zH6$Ss$n1lPt&Y+Um+!-pS6}DsjpIL61GAfAb=nR33|J^wfcV~8zJ$acAt*L1D41*( z1OTRt{=4MOfsy~-TvXeN8(3HDB}zsL>1&PScs&7oK+w21VMN< zTYi`@x1;aBh%*!*&UiZPmTLKANGM_@DmjRZc`tn=>RE&V@fzfyXPQ>po8=49n`-B2 zae5}+A%hM{{GAJ4S;HYXO${Ccb5SdgMKSQDfq<~(NPoR1+m9t-vCDe_St%&=3n)0Z z=jq!Wtr~MDz6>5hRcxEap)~2n9&qEh@mkdOwqc$}2kO=q0l7@$X2cXNFG>xytLUK+ zZO0KzlNv!+1C-S9jRWPo*{?LR*F&})`%;F#{Je;|u;`WV-36>4>>&jHR{*dA57@wA z{cd^Khoyz5L8)w?@_Ye3M|^frztUCqxKhJk48?cAn5)0}v5igOK6_DACPDtr6HOA{ zgG7+0xdnT6!q}dk>i~O5P;4JeO_6xy?t(9s$y|beS?;6K3TQx z{k}(na8Fd}dI)W401b9j%SD*w4(atnIbJeqRVg8#{a6}ZWYimfb;cvTrJU#v!0%0{!+vMqAA1BgI0Ed$ z5DhQjGVH5};r^oZuKk}a;m>>{goMC~0O@nk!*(=EtL@a@@U?6-L};8RhVyf& z_?jT<`Zm7U1-wxpG+#3#4Uhi zPT)uWgsk@kJ|~wRx2lxTf%^V)xTbc#L+>A`{TYyA=WrpbY%9p3=Zk=ULIHv2>9>SD zr5G+8&l##ZWcIr}#bi!tx7GCMrUFg~HZl`{deYy)h;&E9>+q)b|1?;_bzy^|y1)-j zu=kQH4Jg@fh0x}ZN@-sCw`fwo-%aR9uTU8F#OdV#O}p^|Y!yn+e-gj`ZS>&K!?mvQ zx%23BELw6~k$}{2w;lkTJ96@GoYLp_fnh@b%7cv9#rDW6(7pq-Q${HzC6JB(1hsad zi{o)i7?w2J1)n5ru9da=RKt7ni1gu)kO&_oBwY$+y7OE#?LV)f_x@(RGZViwnIa`| zB|H`fCw!M4dt^*BxSDaT!WsdJ(Sp8JhywQ#26h#1w#?atMy`!c^-CHt@gzd~^UXQM~B1CDI}x?o(~9Gg~8`uF`#Rvp@?%4&c_B zt>bdlF0HS?8-fBp$YFh# zDUcM*U-T9&6v{5076DwjI2^QFss+;M-F-5HEFN|%@bcJO9H$sFmzwqq(0Kk(j^Z%>&3+2v457=i6& zXK-mT+)2bwp#ALhSPU=c)xf@7qy==~sT=-XR#V}yZuE> z2Dz;I+pgC#mrIR$W3U67uRQuI<%2XonlF6L{-|*U7BF_@^Q;psqeS3 z(IbA=xveDSpmem=TrcRN*)-=sLK81-jjNMKNcIIc@^S_6$!Nvw^*BIf z0mg_%Um}L%JJ$1bZCY`;`+OT2O4;XSktHD;71E$b#7*Q+M-op7cE-k%$e|Bi@Mi?B z1!uddN-%%5=&^#@ndPK&WCHcnW|Sr`bkvHPoFat;uULwI{>?|rQL8jG0~fggD!(yg zq=+ptjsN{2NPEM`5FZU@M)4BH@ljS5p*PY-5yxmrI}*A5`CX#F4(eq&xFk0|U6xjG z5rEH!T$p4<8K`a6Ew)v3;ILBw-Pas zp81Z0x7iHzGVgUqY#ZOp_$2?mmRAxe4T^DE*H~K*$}c>_k+WxZU$jQ=lC{VtTxiz) z<_&`WQN5vvHOyZcjxKzZW0;B1I0h1Jzu-VEqnC(BI3Hx56xs+}+r;zj0Gbd)4uwdy=`#X$7Xx8KbjF%jy52(U;>k64!PJsxuS^v#p%F%p+~LyDiVP-3abA~ z*6yCX4aXE|t-mUkh$oh~=NEX>Q@Y0KzX3*SXQb1S_1G!om8k6(~)wPfcn zl16R;Wl?j@P{~ha889$*UaGO&g;68&5P&M2M+@gm_A1%ggGQV6W56XWSpn)i^y8|r}9>4b2 zVzp1vhy^?NVwqL-JRPnfoGP58HHZyf)32jv$jgVfN;js`4M8#%aNCFn(Zw3WrmRN= zj`t}Ur@+Aq|6m%XH(c+lHM$8ECDT5E3j3G3}_jG?aReY1oc6&UMvy zyB|hHodn4)SEr8jRz>drk9>)u-#6ER>6luk{n=;btLHX>tk9;6KGf3wJBW>wozh9$ zYnc(|571{PXRg5(vt*JUkvD%Lde)?#g0{!X^%A(b`}sg2>j@tJ@=>6`FWM#){N$&? zc8E?X*Bl0Tr}Ias$tZ?Vu znm}PGlt_Z9s2D%S%eBM5)+upVb}RUX0M!UmCof-tx@atvRX4koCdw4JElmF*-(sFG zX;z=ARa-8?L2(Y>(sw^5aC(F#ho}LFV;M4tXshN+A|EUiCmXo4(^|E=&2~TukTw7) z?J!y}<@)Ikn?DYOWl^|*tXxo+7jaVZ{_ zB$E7PK1!U_YVHbsy3FSC)tOg#Bby|2w|6*AkQ;$rpqIHPqST%VKqf^7DIBqf50!s( z(0gyr3JQlD!4N!l=fh!IW0kw@+Z9Do*|FS)pW+qsVyp)g1M-tDY;`S4AsO3zNwJ=@ zWFNcyBn-^2y~B;SNxB#o@+9Kna+!~Z=QQ1ARSYNt|CEDBXDXHBlGbVH4m%_Ot#Z`M z?wH4h^&kdWvVJYdh>3t|AJa5Q@n=>PwevkRvnYvsdU?uZQ=Z=^T;aDDpNNjo!&85O zB;I~{Tlk&egv|Hdw25^ps+qN-mp&Dyx84YTc;Jj~d(Bdt%H=~x<8Z;>B?;}rL3>F} zht~=>i6D3VkleFm^R*CGU<( zadI~{loHL`Dnaj4Z59WE;{NsR_Au;E`8ZHLOUT56vWN9mBTpz9uc4Klq(-DIhJpMo z>`z{Ur5bONE}tZA6A&Vo^_A z(xn=!3MZLVJ*cX}q9Y_S>;mo2&3bSe1p3w;+TwoR!`Je+PWiBxj}0>rAGGM~#8Sr$ z;L*YhmlDfp@*PQS;!gnBk_muAQHvC5Y#0257}8sj6vIj^i{#ZWNb5_8pcy*cy9K*0 zwv(@&l1H$2x0Y%VE6XCQk8kI`xpMTlCLvX)4jWbCo__3}q9Hpgq!HEF@hf=%DzggcbmBJGv0pDpKC@SaGC$uHe)_qRb3=y=?ZF3>}r^qad`EA z0qE9k+fmcAi)_cub1xh@SUrm#;Qk7lZ~WXclPELTl}=tYpC?^3a!~JXFjAN!B%2Hn z_J@nX!yB*XcJWJ3tb)HgT#1Cjxh@zOnRaYUejk^1{kdkzoS1Gms93o&VLlBCRsyvr zHV<3osr|WdBHd%qrihg%;eJ5zo6WHXOZL*`$5}sB;xv-V_CS?D0ZcJ|B~W|we~3RJ zn4IK}YWD_55bT%^VBt|ZtGy>-fw=!br3uE2B7m6~Z&|pvev?jCrgc%#h+QR_83pzo z6>jmiW)Eo3?0{C%fHOU|+B>9lPY$X$>} zL_V3L9X__{&Tju z5AziCYOG?QtD{AQes3HnyQ8e&4k2t@;@LxOa?V6Jax4;)bf7avcioSRv-@Q2zhK4d zD?x#%!{kCtfnzcCBd^FlSOTU^kzA1|!dyZtFpfS@_3q2Xu&U7P=tc>H1ioyr8Q-3U<0`oZRy1pO`4VfuE2^)aj=8+@wWX#hHg#-50QZS3nq4d{Ye0;ry-(oS*Y?Q%x2Y+~5GTGpN^egy}<@tp6E zl*8*(rxuD_H;PnlNMlbMF+ z9}3c~tC_iop`+!$Ik~$64^uY5@Nat0D-Ht1=xD}0KaWeG21OSRsv`m`cqeTX1f^6w z7+)Qj%RfBD+5__GgGVV6xVCa6pIOd9;?AinwoGhV$10+rxT(-UdPGZ0g-G z^+X-4;X|-s;Dx@wA(^my1jF%iDBXtqkZ`FLx)VC!h|Js`zwjRoQkSm~QYCJt8t==y&P8i-9BuX|vYyiIvW9lTw11bLj! zV}0-6qLrPpG=}x*Z8mqqmO54RESiMhy`*YkEW+nCc3hjrjb%t&9RfvJkSzTu2_>zFPiQdHCTpwp+ffGC2iD(Kma(f z$swtTNGpu2Nz%%rNCv&3J#Tv0$3X7z6%)s%Bu#ZksNJVWAU$mc$CaTP>0QdlPJ_b= z+>UmAecArK&6y$B1|OEgY+b*mzickXWeZf1H$%+~+w1HtZeaA_T&=0>4a^hLKLo_x zE;6D{P3aC$={gXXpSIy&RHBCe0TXlA@vogPOHZ%45>n8{+n*(|oPr%htbt+65`R}j zI=JP{NkTj=27#hQ>M8`yzST3ecT8(G2Yl*OYjoj)5bdu z>g~S;=4U|e^0k}?Q9|~&NTJ&(*e=EY*sISgt_rw3Xd#Kt6IF11J?9tcmWJL%FzOz( z3J1F9Eo4>bn*O;DS?l>snwJo-JNc&9CjLU6@pf=T3OV$oZswc~5r%!Z4THctnv*(& zH4}8d2C2obd(u8GA^weKtb@j&{=07t^a}^y+n{{9Ujzm{uE#lysFf8aWB$>^ok18ZERf3lfm9{ zdfWbHP#!Lyi3e-^*-UCKSXRZjsC%EzXMTYSsU4@}KhV5P->ie`F_3YeHRJKOmy0hQ z8tGT2_VZ5lnF~#4N_nL-Vk%srJn1A#bKvW+QwMlq-I0ch!>5cJ^3F2>2b`t!o>p6l zx8-dT5Y)JMVJX-b?qM0qA8nXVQ0YR2?|$OiKVAO<27yRSo?lwrKZ3m*cu#@xuGuA02mCPrh}Tdl^UAWZU3eUfCMCTS~u&c-r- ztQF*=&uTK?=<| z3-Dq{rH-D)HmChpj!Z~!qb!a3LO~f6B3Ba&%@kXp(`=x#9K&>;A6Y(hLo+23cIGDk z1h}P^7qCAu{Nv~xrjpKe(w#dAt9&@Bhv_=bZ;< z&fLtMJM(?td^7W#xp%$~AaC>pZ@X4T!*1SgV(A$9>UvuMF2E=b%t6X0b@~RcMa@sz zNIvN_kbOCB@-~(ad2LQE;fc*ZcxF>xTk@wdqg_W1T z)OX{WVXCbgYBi&5fR+#t&a)!}R&FEfPjT#bfrI5>*ZTQG7Mtx5TQ~WQ{9sAqhq3+9 zXkX!UriDc+vw7zKfPDOq44O2D@(#Bi8L7@|YGFs*P|Fa^;wUqn1G4d3PUKjvl;h@H zup1$a%6hIsjW7M~&erCtIr7iVQ3o7VEYNqqABP``?w2deyZ{;=MKeQ<0z9E&ur1CF z$%(}>@Yp3hs?Cg2Gga23OlsAo`5hy1Gtpz&V2bPO+?oIU{`KpcHU}ks$#Oq7GG3&0 zUsO?k-P&|gLZqY0LDO1*a^ZouwZXYt*xV235&mGM-3~+VC5}#M@#?+>0FT3Y8JdR- z4p`ee1#E}%L%qCt%NE?-+Tr;cyr+Oko3vWhQ>oxI2<(7MaL-t6ox0t*aIgb&*hscn z+1s$GMspWFu}^||j<>a)bpCV15ENWmRFx@S5NGS^J2>|nmg+?Mh-bHVp_XM2()U?FTTZNm{ zflF-eRDT-K7x|ts!=q`aZ)>pk!nf-RA6KPaujg4KD=Y0BC`x6$sKq@E4alN}byUh=T}6-PCa{6=JUuz_d54B%Rsoc-IIyAtUdx%+QX~x8S%#fN_dpe8eO%x)EeKTuIuMn$FFABlYJh=QjX4&OTXGG>|j)V#(6Uo~D}GT|2rBd&h32 zocN$w$(85n_TY#&d-Hp9x*#}oT-FhLd_gN}q^-%%Px;9Zu1;mMa4uN6+w9`jNu6H= z_T9ZDz$QO#Yi{ptp2<>d%eBCohr58;3T}MZP-rFCk}Aj^SK%JrkHTNup{Axhk8RFp zr9O*YF*3|p(tYRbMiZw`9P9TtdJ?uJa-+>vw762o9X;dLh>G@0TR&S`)-k#~iMv^F zcBaZmNZ03{~?*tXE+5HOAs-FeJLk4$Z@=r+66UGBe~%hAtm`|xsc z>L00o3ApZ(D^bGUD~<^X`32n;fZz1j?%847mju2$q9FAiZ`O)d^SD$Gly1`jdn<~E zfDtEQkDAee+4*f?qs0FVTYP1rxGDOE6xhtXdd?B7XS7sl)fGipl;Vh4KL^j#+KOp@NMVUtli8)cQ{Qs5QlA_;9C#yh}7n9chq#tYiV z9C5&)MNGo}iWgYau%b;Mq0r~i*#4@OtHVtk9z_dvIp`$`FK(3K&aiNIzvLg}@UvRt zjd{UoovAtD?BH;}?aTtWJQyvw1K#Hpa!29&)THO=v5PbuJRurZdWo4pChBuKdawroA7dz)YFthoaN8XErE4rhUR0WaGj zPrq%UEm)3gxoOkLlL<^&dCN0{LUBn(T?F_NOgn5IcvT>xFb$K|zo021>4#JwhpU5q zikI$1*k#d+EY?`g@fq$7EOgx^pQ|MLa+%e!p2H_{y5x4u^lt2;2<{8oE&xBfs$IP! zuGbFe1qoT^(Xu53j?j-6y9c%c1QW}3ZB2HIWP9x3_%<1^B0u*z*cg?TG;fm{99y2@ zXyh3VUP-ms&Fg=kbtt#1z5eL^j-&N+yYo)~GgH$~rKWdXgjNY)A8cnWD8}|k5kz!r z-psunI-GqVu5Df6g`2$!5^W2FBa~#@^o~}GNZ*HK#`yAu`;UwWuep1n$@PITc>6P!`Dc>j1YwgSZ*kU=nZaJ22Bym_iqrW#>>1LbuP_z473(Im{ zUGR~B=o~ulGrMux)^@?H`fXIQD(=M^_~yjoK=iAjnCY223rK)=xGv|Vp=H0wi&^8#; zK@q-$k@U_M_jP^eS4MmkYUh3MlzRh4vWJtV@h%7`_`dPvPyvHKn`_B|Cf%9}=v>S$ zT$){R+RBj+@J+O()=W*|6Tz-_l~S3azc%Fsheo*>x&{ZYP@gI7vV3puM#jY#zie<= zm9a{CLhTL3NB2x=HTBpjw+$cdRLhJdv+Fzh48nWs-?hI|UwHUR<$dEa!i_t=o+fur zUy^W3%dD_I#vuwrEZsAdUT9F#fA8&{gnH5Wvq zx!#eWqT9Nb1uw)}J`1BrWMdheQic3)a*-*3+7^#;{2aJ@GRF$O<_wA^ph^-q9ytXq{SzgCO$tl z%KNDl6|t9KR50La(tG+6&dsj3pJaZz6w(dBX}$y{46T&$(LbXYK33HKObIjy|(YKGe#wK+N+ zs5~kJ5(@4fc3P(bne?McR`1sccW2*pGwFv!a1u_7*%OLqVN0|mi$1a*Ck2YDy!|EY z-6~zKKUt|Q!!<)rT-Bz1PJ^+IzlCI!y!6jT0z3NL2%U;&1fjGmyj;%KJ^Yy88Mu$& z|LheuXDdzS-n>628}#OI6u)An?1)s&-~vwl9Uk`vNz{FW1R%}`l|woPb3(0EyLm0$ zAir+VVpCo#XfI9XTUxBoN^D7M4p611Lae7HuR~gSKPq$0Py3WayBve+H+IN4<%Co` zsf@=*NW=r29C3;%t)YIVDp9Jc})J>SNW@};FfB?d*aQ-eaRb6GrXmpqs?K3O(U{VP${83=6Z8Q8bB z&9!=PAlm*k`Z9Qz{m?EwR_>~SCthnI~A@FpO;mmk~<#K`qVQws2#0= zlXCLm`2DkjXy;p?+u^J<@=;|rRD!pH4aB;(kkl~V(4vgXTC@-_Z=z~3*4+_i9Cgvu zeUvrU59@dS>&W%zm)+QCl_UjuQ8q?)87EE+|>8S+{^((N4oeSeWU)Ov5n~&|EmtyX3 zznAG?Jo0H28%~|jxcemeai3AGY?i)N9j@rKL`<@O=!e}+Vt+^mSrCrZOD})@*+p)2F|`K*o$Yej00Cx?x7%nwg=R{g*fpI}l4GpjGSY*CK!D?IFEcx|r>*&t>J zr_kqlDe30J-SvS3pYT{g^kRnzv-|E=E^ z%yaL8O^5Sr8-G^ZUXvh}b-QYK`|3-v6Mpt>wn4^Bc3*FHnq=@qZ`WW;TujeHJy-pU z=J#si4Qle<_lK%=uG^t}w8Ss-MP1M*N>FT8;Ik}Z?2h!l)Qf>Gjx!$lpYQv$sxj|9 z@s@@u2Re|M^nNnwN(Ob60^O$|RJsC%?_dUXvI0|$@upL0(5uWhj#d~{;9TWzoUEuG zR~IS5&z;$szn}SPrs(2{N(I$FCd~7+>xH-ZSZ-025m|p>&*I0+UrOWDP8B>fDn5BR zR!8%~n+7qFttWm?F%%O^uoS(TL47`$FXL#jMfQU|_&z(Y)n9NTafRFu7@F=Jhwl$Y zf&4Gf8ATR(M4CG@!0aw=!we^<(S!?^*B_j4#TIYIJUXDB_x2&)B4uAi`PCxFVx1C) zL#AC)zs=se=s@h?u?L*ad#}!>>0DGh_e< zZI+YQ2o<&-@UpYf#?#8f-p$L^15cjx6r|_9-wX9b1nZ(;h&wEuK{>@=gUW) zOd`|p@)Rl=Po~jGz+(@M4%7&(YP+SEhdt`>hd?4hw?W{4>Iypj0YvTueu#jdAJi)m zhN$HN-1a~(MPIxlO(hXG+S}UN03SopsgN;n`$NJLS$Lu!>YWHrG_be!Isi&Sy(3}1 zxKBcv{9c&T#DLQJ_dGjU+5z`OG#+bz$vvK^?r8;mAu$jJo(OA#KjaY#4LW;r+hk*J zcfbp_jv@aNcv=EJpzN*GUF@7}fS8DSUN+8q;l*}K7Rni5j7pmBh6(b?>$Efy3IA^h zn15OZg-pjQfc6D0o$z!D9Z#dsFbqJfBAtXs6sdR$gMHMK_N5> zUQq$$r2_&;;2Os8J_Q8e<4O@c56fiG86f7R!5C$RqKJVpBmy!80}Uu1e3l9r=am8S zf_l+wiUJS>9Su}P1{yOI0lgrdMn(XGym}Qty;KAUh5?^bz*9j?2f~6e8W5O|h6(}3 zuzs}Bpa204K(H8CClx${3WZM`j8Xl8H7UR!Bq$6|jgt3FZ6c z0uab60^!w8g;W8``D(y#E`AJ}48tb`rAk4O3?AUMBh-VhNQFG1$^;Y&J~dSeB#K1B zp!X&VV9*$#L-GPt1fC8+J@`7HvIcqqbz)jT^#SSxKcKoYsS{8irUytD`Wuu1b%P%u z=QI)>v>~7s>c9^I1Jr@)1sO`}OW^ASKL)x0=u^O;F}$7@(6;8?hk2#~)C<_EF#a-o z!{L-a=CSZV*3gR@7%G7fzxJnw@P`pN;7(4U428d+KebLg5QX#nguePb45m(Z&2M4- z6DJlR2Q9cFpMRYtoaLvDn{{T5*umULgFb$<)lTXqpFjP3CI4_gH}CmxHFxIQ z-olO^mu+Z&+(ce#mtAX9wcwL!nrf_i$t{yds~3rHtG1M~6Jf?8gbYtrMLbvAFvjwv z%id*_g^>!On^uM<$6b9nQ+?s_RP7TqkDo`b5u?10>^X6R{K-?^*}QB!-SO2Y!&}|& zPD`4)6V{3oZ>{LYAR+orale;n^+UD4k{q967=NZ?-sLd-Nk zh@eg#|4V=n4BSM28xL17P2h=Mz92^ML|fp5lIOm13Lx@4Onw1~D6?M=F5lqfX#nv% z-ho(AU`Rp!B`N%m07C_2IxytB$TXgs*!dIuKaBq$82%pzhCqM*y}%H_AP5=%888Hx z7htXb1~5dXKp_N&|GU7D`q#ja4!}BGFiZo5@R|<@`SHIE7^1@}f2>2tMic-7YzPNT z&|c`UkB*`Ux+I@AuuMma+6W$yiDuR&|#INQ5;1AoiBU63yiz^R8XBOch~ zIc6qqwYNrh9(e4cUW>iK!X9N{a)%9>UYjQHJPh|)WWc=V=H%+-WWOKpLm@B-h#dZa zmzSHT5|QXUb&KHYVJC|rf(;RCZ!6%)c=}Ur*0%WlmR63SmdO%i!Bzq+-rm(^BXs&K zvr!2l0mMp2zzPIWpi+!vr)`3;JZx++U^Pz1fVJG@A6N=g!NS27Ka~b|Vc;L$WipLI zCR2fQzD^@CV0(X?M*A)w*a-qE^L0Kl2`tUNO(T;)V}6wn{GffGMghy7uk#@^1T3S! zP9u>J5?JNHzbQUIJ^%*3NmE3i?th(6k@SOSXeX7h+L-?U=Rw50 literal 31943 zcmbTec{r49_&?mfsiei0EJ^ZYsU&1jBu^<*NrVW=zKpSNQ%RI%3XyH*DaC`BBwLm# z+mK}{%g8n{m@*jK7|WP>uX|?ne80#09>@DTen)>abGzrhujO1m=jS}nOYX|K^Ge5+ zPi~WY+b5m(aocg}W73{>F56%*X_f1NUJlYK`nEo{Zk~?PDpzbB9gxx|zzx@=b#%5l zc-(<*)c7AiIPdA zb(@NblkFX64@c=!{J(m8+M77|NLzx}o;weQ;t=2?t#ZK~3_*|ozdrx}3(~j#$8e7S zzb62V8yda00~j4|_$t>NkeErx2o_BTw^OaUP?*qu+Z@fc#7D%W*&JzXHmjxVUk;Gx(P%Bu@ z5}eb%fMubtGO-+AYX>sNk%gO`UZ$c#IAZoo?B!@So3f1OpxA*NM}>L#g8ZX7B8pRr zVxv*)UR|?z@D?_msLN*HR2$$lxy}V*3N1Tb=8=ZDab@HU`|8ticaINuS2TGNQESj6 zj+LQ$UmRVEq!1+iM>bPdZB{;(_uQjhmMk`S6wiwnA3zjbcr$u^^CY$?yPN&drC@9} zu%n>HUKw_}+QLFuDzMv5W-`c0CEHy2n+U?OuR|jmVP6>`-ey8Q+c*7hbAHlh4V4BDP1M1AhzMaW#*CP*nx zO8hu4I~j1@X7DU!enH4z`$MU97Nc?Lpoiz-+4FLWDg`phH+)6w+*|vuo3p(ZBoriW z#flDL9w{zI+j}f-|EMrja@XT8MHOW=#?xX6M3$I=p^A2BAU$)cl>T<%x|HtpziO?r zo8G-stRY7K^?vf9R9QR_7by6syYSzFOSJ*)hnWwN zI+%5^n{9p_*YG1s^At^(lTK$cF$MX3|DmCR$V&57Nlbl4DYdU72eRM$8So79QTLi;--#S+f7E-Z|pAlH>=O4mzi9yIEd0@vtpBKzIp$ zRH~Mn_Z0>UYeQ6%JCvW4(PY|*0Z(446*uwL&X)CY|JRPJ@N(X3e*0$TNYcJ&Lf zwpspztdxuP!O0*nc}(Q=^*^_fV$X&CwK@jI9z9&P1v;ui^2ACE^?I90z9E14(Rn{4 zI)dtWIx{sd#vz5T-j|KBzap>7mkm#oBBoP^c}S7D83BUigkj= zHC?D+v~c#lPX5VNOq52L-f8=*Mi0xfWt!PT>8|;+ za}}St>TKQTA};XHNK|iXdCoi5;GE|2vo!JZb=o^_&Wlhp=L#MPA>|KEbO~_C`ez~G zQTamFyF_5s{qvbC%z{L$>bzfzVCY%iet2)q7Kif}nk4=tsGIZ?+IUQ4GV$9->)18H z!taN-XUk?&B@)#P`da=@>%7F)Np4LjTrDOa88+1o{lY=Af#zGcZB}(;OR#W_ z_kBv4Fwy16aUh7$$~0W?xL|>XggnJ?YJe>{vpeXXjgdHKx{46A*Z>d9B~#kB5j)F= z=a>60O(0(n=&5S9C&DG<8`U_-kuOvYW0cu=eBP4q<}KJ#5qiEWJ8H!U=&)QS#mT5(%;bVhUjH`a;DzEC#KKI^`7g7R zd5hO|!)k-Ht?RS6YIjthEA`OSHs%C959=(oWryZVEopLvFZ zIjb;qYLhKBK9v}#jR-#qCMqcU9j&vu%ot{EF#+4ChZ-Q|~%2{(>2>W~v_@%+Y;M~t4`X&OVg z!!g*zLQ{VojSXdQ;RN|~Lyek~3sK8ljlbfJHT(EEg8DaU{UG?H`QA zN-rlAG^|Caqs1Mc?FsA-0Mn*wcqhR&WsDs9WEz@VUXn#v3+==S^v~kRBBcf?#Gsh& zUXp(8Tg)2lSS=OSkn-dU-yUqsF;m<5LMssXiJM$N=+vv!ot0ij+4Am4h76?C&G)(e;xu!%e zmwI~W!`~>sd)aIEQ^g9Yo`KB@)BwSEqb8v%>5O0a-nx*V0EygL5`*VAEZ;u`Fi#>? zQu4$piO)zk$F`t3A;=ib{)5;PRtH(4uI8Y=7gEy-=+h-c{Dz^g)qTr9g!Uld`bnWx z``=^Ms5WWDZl@%3PSe~eWnxP!|BOF@Gwgp|#AB5TGVfX`UXRfhxas}KzL^o$Xm-+o z)fvO+?NzJi+-Mgkb~3h5SH>STK7dT?iRSRxY0ZN5=P|=k%eEa0PuA*7o_ZP;9dUU? z>p5a1hH^!iQuQGvgqu%{zPGv>#1dyTpE}&MMI_9**CP#U5h|^&HwPDpy{* zwkB=6=+Qzs84uUdEW68!n~fTUL{epA*Ux!ceL)OgnJfU03QNN4W(w8Dl}-KXJU2R~ zkMS>FH*S92Eb*FRXWr&+F;%q&z1gWLG19JSfA!RCNE?4U!m_Qyd)6Lzl=N%N#rnm# zlKrH1tC``g95ot#e-4q1ESq}Uw%if;N`tO1>1Q1d?KVj>dnAYzRY5u55U>qn*Tj@6 zj)FmME;;aP%Ht_6MnsGj!PISo?v*

    Kga!3o{>n3)S{Ri%gUD%rYj2X!rjrAqoA= zt$yx3CJTeSIWXlE^SP%9r^f((ZJZLo1kuWWbDd{$;07s@aUrG$tugz$@L6ot(vpEB zM=_@l-i=$hj@32PLN7a|5o%)ca_zhZZCOnh?j0p+vOB-ScJlmsc1K%5m&mBGWO0~5 zTX7^n64NsSnw>LGSWcmZ+=2U7XkPmdLb8enmXaFqLkD<*hsb_NI`u zw{!jxgj;|oIUVLXxw$VwimUd56#GWXG}BLN)R1f3U|H94Pb=Fh!-!g6u|eysI+J&! zlYAw)!Uv0C_L$hj>>o0gRBJm3Dd8T(hf06r;>v@%%YA2mmFM*f-6rZKg{(Ml{!Zbv7wvk45};js58#%v4zPt82YU`oW9K^2r$VB8hvKgXCw+W)yDEZmy0r z!&K-5N4LY%>4ZH9G8BY_gi-IB+CWoihCL{KLDWEJf6hq%V5!1FIp#p#o_?CcIMksr zfyM2V;VGj7>*?Ko5om=#Y_|Z~0RY6?fNm|6o)8kU9c@h9niiLe{ zze$YuU408l6lqF%%w6!v>424dJDdwl$RGLLdS#eX@#SG3Q;m9=D)Q%YgXE_^d_C1)1$OO{wr;yM8x%@yAvE>~RW&Wr7LsC)%@kq8As!(^#Zo)}nuC8&F-z z6RZb>rOJ{Ua|Y1UT4V#n%&X+ITu!+i4IrVy-`3aO%DHIr<2%XCT}XED!DuZR=TbHUkNRlG z#VWH{EW-FX7T+8U4WK5h2`Sa~YWX1WU}Tc)qDDFa^MSW60-TlX^TJ%YLM=Re+KXrl z<6(c~w!vQ?Rk)k#$fho;MT5;28SyNCPF5+IjO;0oJL8#jI*H|%S@5X?y6giQ(} zA%VwH+Zt}3{~8K81Q0h3#35?F{@I6F^-2EwmeOS+fgLth{te~XI4er1Psy^sV(#9Y}+jPSe5$E2<`=EF^;VP>;~qK7N+ z1y$&xpUWA#dR$x#g1?D9cCkt=VRbz7fWnR3?=Jpoy)-YTrSG2mJGEzL=gjjheGNpv z{EIu^Jx7bC%siXpfE7r_qZ%}WaA%oZ(WAt832==DBPgXe-oeQ-glL4(X;Y1inqOk zfeVY87Gvea)$tNtr?{`=uwL80Erg_L_;r8KAg78zhT?65-vou*D^-H$f2{@45(rL1 zta=DO11dNaV@d}QtiNnx{%@J;;~l>L%1vntStIy1DhyT;Q76Dx%QWl zPG=Wq+Hm_H0iblK6AM8^S=}zoOeR5xW>%@k1VXFJqciPuyKRtPlx6*=b{e(M2DC~`G zAJ$kXdw(E!imo2ol)V&m%V3zyGBvi>y-1P@wNr-uMrtqn&mvM5gB!deOc`aT-{Spm zZXX~Vrg;_E+D>|}3(Z5D*1VTgn?1s|8wF8ZNZnL$@5oO^5Z3x+`4p_unmO>DzW4})atOs63Wp)V zHBn6d6|FHFA|*b?EW73DxtOt2W$`*$*OAq4`!f@tl@LDBM0T;bMoBy~dZzEgznGc_ zacV7bWhswhVq7CdE$c}3VK`JVIcnv0Rb1UX7aB)6X0Qu!IbKnr3REA7#p;G{eLc*& zVnKlSanHASHOne*hN2CXFHK2Cz+yLCjx7>Z_ZbhKkyeILdSp9FTY%^g z=eQ?KMX$+M(JW`DqvU6F;o!=^*`nbR`C_XAQa9Hz90APVC|j%uVi;3< z3x3ZtZaRcVUfYg> zqkabe1a@hBYTriEN?ID+r_~n}d0Y2NlmJ@8D~^LFznR!(8Oc1A^jA!gQ3A3xyq0lj zZl$47PW|M{p18By$8S0v%``s*z|*e73{^I}&!;JWYQYp`NRuRGI^dc+qxvyG+sD`yRmQGvmfiWmb?&iaPxPKd*ag*PoHYqogbAXtPlIy* zg8T^}70ZWjbZXpIhPf;>SsbNZrR+Jj2KhK__&$J`L*E_;KjXTWIj8dqZ?a#l@QEWl zX07qn~kGQggXC=Aviz}}MMlp}( z-(#^77prmB29|XhFCete3_s0VRr0l8Z(Mlb*pcm+^^GS|f>>2%fKAm2-60QS2*5Hg zDRB4IhMxDO*dGjmhgnro?$AoUVilvmHTUp9J=pF0rQFbPk+5;_+eNT96$;Kc%y07V zpeSttcLy|f@62?CN77{>b=B{8i=UDO#m)P={w+8XeA)5hRhp2$9T(iP+qxmQeJdNU ztV75-kDcRtX%73GxE)+itGr#lYi}67`<2`$zcUa3C6h7xyOUa!&Q5+u@6PmI-*Skt zyz7htC!N$!w4NjwB!}eUNCbiJo?rZ@ES7!4#gT)~6sMl=h_FSbtO#BgZ-X#Jg&rE3 zjxoulH9r(~lzc`lkpEN)z!(5}$J=PrcYvtET+-{yWFW>Sg&O2J$@DBPu-s-pg@Vrl zO61lxMLacZ(p&N>2VmPv@Q}4znlL~L5$Fg$a1$ed1dk7o?YMziD}a$T9UbD z962Gz$m0&0#JpuExXUQ|CzE~oUN45}wH0Cl4|)TnzEDUPDTNXf5J=wr&|x%dI+E3>W3jE|o^yaxkkV2lk5cf%^J;($dI zhXaoeIR}7KFw^Hi{N0<~gQ=f?Y`njF{!y9e<|L|4^5IYU6X&e(Dyv0u7ostO1~xk`+U0d4Kvb) zGT-L`p;Gka$VWgt8nEdb$|eGDoB{@Y-rKmjehEO%tNRNZAHz_22Yx!|+t^?bNcUKQRl)z1!=s()PS~*RiDC#fUw9qp`Oh8k|jc-J8|wa#%#*iH7LCWsURq_OEY1 z$Gd`<%Sd_cXHK8%*zgPV!oh(rGCRlDXyMmCL`iLjkE!9pP@*E3NCMrz%BX@1KNoP4 z+o5zH^@G)0m7ya$-y#?YZN@CfoT4&20#HbK!NoS?szuq10uJFjt8`4~!XmN9c z697j6;fiqFn?bQ-^%y^TFZi2zC!{Gm=(vZoRbgCFSNl%@9lq-YFS&RG76@L>Fmyl6 zjm)?(qpwx}yz%%23cgxI{e>#gMN1yJY~zWwtCCgjsu+cAjvGq|rJWb3VnHcSy^PT= zMS&;;_>i3P!gzELXX}Y%*~v$*tCpHj`6>*6+0?s^6`Py~s>B-$#w8D*yY1es#aHVc!lA2i9;} zG;N`ULWxlyuV{q-=cQDOc;OY|M{-;i&*Wnkv1u57Jh<}Et3;L`ZUA?cR>E}`HUx)Y z0cN!Oxj*B)91^Wce9{ggbh7$1-(8F(qEHQg|p@T1K`4tpZMF_XmxlMz8S0VadUCs)r&!^twDK3WWx=IjW-s z!uvvkQh?4h_aLu^%T#qMZDbG&jrLa=A7eVQTtMfX>E@7yM z!;C1c+ndzDS|uOlh=D|`zD}>Xh`&v1K0*seT1s}~WnI5;sD^z+{kv_&@>cZU z6$6n@z~sPU!sqCM6-j;b9bsAGmzANXXwMShTL_H1BGIaXl!I2WZ>EHC(O zIeZG4_r@x&>EuKB-a6Z)r<9faI63wA)Iz~*dh*v}B}%ypQZGi1ZPWbZxA(+By~`7Y zvB=BoRh!4Uv*IFtbt}XbkDEtm%)Wy$#H&)-NjH#3QDTv?SBmN*fU@AiW|F7Zo8^9% z7o<2y{I-Ka{lGD5nYFVsG;4m=tsi!0xDFFC*OA(k;#i#Vv~cBKzrkC-d-X@&ot%!+ zW+~;5-dJ)KvK&7pBH8L(idn>|A0P#E_ch^?%!UnJpN*Ui$;b`~%3EaVY^)l-!S<^f z84WVu4cMwIsaSa$z|mYu!dv@$ZHh*sS<4U18yrll>F%KDqn@lb_jSn@3Fz)>L&JNP zn3>1rB}J)_I`FcQePZfrZFYTM$>Hx{QJFBe^luA4r|&S6g!p5r*S4;!U+QFj-|A(m zGTB6?@Zd3h5lwqZr*+6{fAYB4lSf^0e4`HqRl%&`4p&7`=>Tb@@Jz63kp}6=B`7WH zmM09QTfgYcFRQw0eKP)=tH>T8(lAiFbr+6B)IURc3XJ&GWyE|iRT?HLt{t^1`t-q6 zyNRB&sRiu31DvwPccr|mPhSKXIr!TlSd0;)jHwbk*0w zqrZ+P_-QBZPZgm$bLa_a2Zi$wOtG+1{cE{oM)$e=Q1?Y&4HEkae;wonxOTqQLm_g5t@u$}fy!Yq%>_ z$wToZ_@y^3MSu_GLS(XfqY_`AbW3~qjwUexVNNx&c^s2hk}B$^VY#Tul91` zwpxPjEKC@sCIB`}FAT10&VwH^c&}4C1Or+-&8mEG$l*b~|YxUN@of(By%`HhUXM>Vk{Wu5@Qn zsqFK%62DNl%=+dNtqSn7H4v0&b1pXre1v>l)v-w0b8lJr=?2cvV4P2rsdlpz0rR{q zo;TR4Ddt}E_e;vK7^!@zMI3H4i5j$T;D_rmDE)BNxWuXkB%a=usGlg+_t*N|ixx$- zcKQ_;U|GZpLRaykoi7{x9jAVWdN$Tj3BrFWuvLvO}_07*E+M{{k4!}u> zKNL*SBw?09e|wnG47^5xM1Wih)#-g!&2f{S90zN}-m_NYrrMoBq3-r>{fqw+zR{}; zk*1vS9fKMT-;;M6CkUVi@*2B)rv?^>&xXu66(srJBC_ntcli_U|6DM~_zkmGdUv%% z7y|F_$VR&9Dr_ts*vQ{?6}bkwUtIarv9Kz}zZ^zq-^@eeabty7;!;pe2|uFB;M!n` zw!#Bxyu}}+FKT?ZV~L?)wBUpfNTPRjeIWL*IHYYq+0KIbN&iknrHMHgEj`DVZdPJD z-FR^-FM{Qd`U){7R`OD^88eH^KKqN-j~l$s7;6e8zp4%S?qm!h$i6WiLY=O)Z0qy2 zyqA#(!56$%{EKaoH6P4YaTOJ(O-se zckeqFSv1o3-+~M$?L_eD2D<4*JazPiBtrMFdnb{-TrEFb1lA-snN8J^94C@KQC3hatUz1WMJH_{>HuYT!xyZ2S7nEP#&OvcQg_h80cgE?&x0ePT!0bRyt|_Gum6jzF00)?tA$e1Y+s)WAYrP@s3vs z_F2QEZFFSzW+Xu`Y;-oEz!Ob-v_@;u2{M?y1fJ~#MnN6D1F8pmT4gPj2k+s%Jc3m{ zco$J{mAlNyBSaYqVtwWU#&{M98b|OS8=m%X)7>P*AmR}#5?H-0H{<6bshi zyO2_i+w+;lPy|t{04j&T+~2o}?-hy1qwL+Hfjj2{W~9@gmdO3`DJRILlabo?CxA3c z7QiL?-S?F!4(_qktVS=}LRpo)@k)tbWjzQo>ANi(a41f7un>|v=M-4nic4MLV&2W$ zkl&;gZ)Kd+&DnpAbn^>N}Xj9@oM74IC{ z5MBE~y4uS4$9J5tcgc&W-e~yfJ4Lm?al;Av*UD9(JMk8^c~lMqM8aB|lw2tP9A7)L zTL4%H>#B}qn(guRNC7|xMW&^;;eW#;rrqv}a)ex$59I9PyS0J1o-fW`Iagnl@*MKTrPx$#-y(AN*eqR6_d>FG4)(OX7t4~Z0(!U&xaZU$XK{W=;a}_QKgRO+I7e#QMymnTeqJGy#usBW`|WLKJ~=TSVw?bgzapv z+BSaKk`!gIR#fqb=WjE-MqQ={r|n z_~k}apbz}TK9Enca^i_N(r5!P%H>~q$v62HGS%?Aifu~U+V28)E3eAc?bE@mnEc-{ zzFo4D4cs6X`~9{~;K^(#-o=u59|2=%?9OEjIZJM~&5Ip>5@7PC!hEsBw*U1fx|F~1 z=c?w7=DWsL)Vv2gKkvU@vSq!SQ!_ zP%Cu2j!aj8uf~K-SZY1rDmzNHf+DaXE`PXs6=c*eHiHBPMEh`5a~ycgYBn6^q7?ck z9wlbma_0&rnALGi1h{f&+Qi(|tDLma2j=F&U`yng+RYJ*ufK6Ej&^HAIS7eZlywSL zWTXEW;XQ7`e8+&#?p9odKnefjDh*r>3PMkPkV=(%YfryunC|Eq}rIw?B{LHriy+5LR)@TX~ zM>ykB%W-&>{qlp~hA;6}<4sp$=j_@C0>CO+a+Ye3`{jA>yUAi~*J=CJ7TjmIO&jId zlVsJYO4PiuxMKWQ%jzRVV@}h5#YeM(BpM~8PGU4ir$SGHfTcf@>mRtdfiI{u#^Vj4b))>jR76}ehVFFY(gpbH zJ882yJLMkmd6HzrQdqA3yxX7QJ<~H-Ts9tr0RmpDs>4yP z0iJYQyR{lpSLCO#V=5PN;#EHJp0Pqhsr;?P4oZU7j8iRL%pVfU=IJWjLn*sKI2>g1 zX&XMy_1yi#pKsI{O#p5jAZqG5i9ep~zpMCYuc!!z`_9=x-ei%VFW_L;K;+5&2m(f& z^#T}X3qKzHzqA`3qmzE_w03?fgJ+6sr>2qs%}D8A?x)2eHAG0pBpAo zD#ORAn2`wG!TswRc03feFjGH$Xw``pJ}u7Ke=&Y_pKs)TM9A~JXp2;XA13;v`d^x} zTw8=PR*;(AagryZB5Z5>@!8mms{*T0GP|q8g}N$C^~>R2F9c$Nwh>vs_Y^R_bAlsQ zWeJ^dk4%a?#vj0Jcb)4|m*)cfXbfwTbC|2b7G=S$a(Sl8WnUqW-eS`rjPbsfXSIrK zg>lT}6h4H<+3%6kdLfQlH3UYw;cPWw{vSQDsuJ1Y>#9OzhyAj#=V_7%n^ymEiDbU2 zI_QbYUny5s0fl9YX{&}2HLLmU0Wc0jYwvz@?ZR4nM4i&6VM$k;Qe>PHYb;6`4ci+&!HR35MaDV{p^ma$v<;@!U9^z981J_>Y8hp;lzjEN} zB(wFSRdv=~7>El8*kYE~cg&KU4>@un+aQi`HQpkKry!`6MbV0{3n|4@t~YI=3|=}x zSQ{n!xA#k~1H{|VQ*4H9d9*I;`L{m6r-HB`f+L}I{jqacum-gTcwaN!MawUgp01z# z&7YRC7wutv@o3{4OOh-mTYPf^6eT#Sq$Kl#rj);~tW82=`)O;ptrv)f zEDEEF(e)sLOGBd=zmfUl_LA%Fr#OHx07J9PRr3)5q|n|wsA`7H$eOgRAbj+t7OFfy zfhzxd$m~4`tXlgSq6YOfRQg}=d$rut$2|9C6@MWQIw1JKVEKPs)w73kKcVd`z)>$JHb5y}1I>DGP}v5^ z0AztSu_^ISVxV0in(JCYig@euRp3XRYZz*&)!^)Igq|R=`HzCW3NKH?&Nn!U!;>~6 z(raLrKYX+)U$O}Zz3b3ljw>%_l z5*!JAeTZ2L?{1cQ3TVL8RVB*ZvQBViabdon- zkRS3%{WFUuC5T;L%wr|@&A?_YUkHGF45$~yXO|uGpKTvlh??FD3j3kNp%O{8;?b(@ zAs^cR$I3|TU$ruhZ34(aA=b)2EnxQaK9Q_AeTJ1|deZL_Tu#Enn2@8js>Hj9yF5-L z7}Ltz4LsYip!L&G+#|pTDD{n>+BT#IB8$u6V-eW?^JjrZm&Q8LCzHxnIvW0>8>ZIN>~X#WTh?$@#^VI-c~u9oMO{VCtEH@nYi312PPwWxVDh+sSPw$sc(!+p z>imoFRvThGMA(-~6mZ`0^YNW$C8*7y1%anWtcQLLbh3vm-;ATu%`^Ik_-f>}LYNNC zgGyEAXR_g6z45#Ty_l#^$_n7O&6PQg#t3rbB|;W3sNYTE&bz4e}{-wkZw_ovTx2Zu4Y%U}T9 zHD(M~(?#rfC~y)*@3n2yj?bpGo}MZB8SUO2N@^Rj$^^y?a8}K2Lw#B7y_#;4ZD8MwO9G0Y6dXylGsX5+4(k4DSsZd^hu z#*XCZS2uC&&clb|erwipsezyZ$4J3@HqF5^{#EDY=lW1g|71{akCaFm(R_IyTvw;} zydz=?G(A8WK3=N^iER7S^1eG`3*Esfd+*I%RNK8bjJD-Qq$}+nn&0yD_=zjC6+(}5 zypCK7?!+yX?{m6+IB?SG7X8MT5muFoeT1oR-h{^YR{FBZYV?myI|pcW`j*O(4P|O} zL~VFuDCpvRx9%n&2T$I~vI-th^KetQi*+qH^{>OqILGpL)c&K|uS2^2q8~fq;dY3) z;|!E-NVNRAsd*gKzcp?z?|?BScC;uGl`81XLwb2~Uo1mn;EV)n^~T7>;ctPBEn9`7 z>(>TUeJ~-#f&~x|c&EDQPF(Bv*@5}m^x#9BjG(XLy-CYi+#;xtJ2jO$G7bBpp{$xg zdYw!gacJ+2?5KY%8h?~a4@H|8`iity?f+}?#-l=`dUCi+6yIjTkG~$^))k;u620om ze(`I%@Xu8v+E+DNg0#=@l8eL!uCkHsbAETMvImTDivNF#U*W4&A-);nY%AKx)l&Cb z`L;+NRls1ix%|<5d%UvYb;>6wAIhTi<<61y_rF)-=6?El;`NXReO`N>VkvQ|2iPkrNi^W#ZO7Z6f`-TzDj*z zT#2T!Yba2~6nb_AY1ORM!%yjWQeGfhcct-dhHic81KvbHPW}aPV6|EubyP0vEF7PE1d1!dK@)DKp1A+lZ#zZdp#Qzwi)zPST1gcj|BOa^Q#bSP!&&x0L%aF zC*Lw41q@ROXSuZ+tl~F&g?S50WKpT2mc|!W(<1P~(yWHFy#4_!7Ac`>pRy8Fp$Wy1 zrQdrPTTT!2?fS8Knnflb58(&$)ci*O*ip4a*RbzgY_RAWBj>nUQZ7Z9K1B6PU7dJo zqM+K&2i(#--HrbXjKp9qkQ7F?U6PkBTTkb|Y>y}3ma(6v;oi=dX% z!lq><2brSXpeXdk#lT4sGV>dV38Dw(D{o9)tfT@`Pz{iR#iH+n?HYz~=YIy@+2UnV zyGfE~*PLi)`gUfXIxOU!BhXw+7d>02DMG)*^a!jjsz9q z_VwehAzn;2&N3>RlEkg(883?}3$1*u2Hv`N>*%#wuZv2oNePwmmw|`>+77g`-Qj%U z-=HXZI}+{^f@et*{W#N;Px6-3Sz0%51L86KOvBIdy3N3Zn;AuqNmW@Lx%Wd9roNyr zA(B(YSn|)bK$?;t6_FRJZ9H$=LQw(8Yq)yczH4hgWd_P@-44+A?gF#Dq}^kF(-I^D z@4T_H>>fLB6<1l~VsCK+KI7;v+ondes`1semk4N6%$Br&^bzHQb8EDm8zn9c+lI%KX)in^ZG8_*kOudDV&2kR*Vpkbt!xc9 zF^sTyO^7QKIp3cwER!sbpo!kTd$a#gc7NL9(B0r2WPcx9KAV($d=k%mDcaZ7ayhw) zB9AF&S)XkgiK>u+6qJgXDwFh#Vj|> zGf^~p=?)&!&XNf8WIkWDwj}k;i|{7iKs~XU=_CFX(W^t1B5j=rI(h>1Ud_*-UBe51 z{n@}-jj$~G;0C+9AmanV+dlj9>aDlEELGJvHsS8Gt8(I(ljWEdw*0#kZt-Daq z7AR@9L2iULm)qh74@?(Q59ih;>ymEjyYqXVMA&|TB=2yC(a-DCBR2(gulyf=g-b&&JQ0JOi`R{wR@l(zwZUN>ss|w~sPR1} zp^Zk|wS!kSFsmB($pD-Yg7MdrtwXxmFoF_PKr3-1-03$)J$O`Jn$J?`7H!xi&^)Gc z9N1qK_A81y733uXr&VN?a$fEVkAwQ>9)!3#KirSd61dqb@c!MtSPh$Y=7*-@EDGa# zUb;hIVXpFG%%bP}QB2G`4br<-nzH<-{MM^=yfaPK&&L@GMt;AL*88=5X&t9qoW%&;X zek-x}(@C~{^L-{VJVD~6!qcfowAqs^#qwvIjEF)2-Myh)IJqwBe#V@ObG^mQxYSGG zWl>0?<3q2io z46v^jc2`YVNS+}b#mrVSV>q)|^RuJO&>(J|nc&4YtYEEnD0~moCjTdU#Y%c9RU@R9AX>$n8Gy57fg|^`M4LOMWfzk!f>0 zE?prhdXd+t(!GVWe`|BNMjL1+k0qYgCHJinwoK#3zHTO zOvEw_z~AR(pCKn~mqBOwY)i~7-6t;}EfZxyVg?=kio()L?JF_{Wxdn(A*4M&yU?Y) zhu3RvI{jVee^q{yD4cQnhO**nj7_wf?}0lXug+&vQ&TTAHkO`vCwq9Prlw$Ruj9g) z_WGisE;Y)moA4+ooLx>&T~i7h65q&8k?~Gz=tsyRVc*oWz`}j0Z4k5ReK~!HbRHld zmz^=-%z*6j4~h1_MJt3)OvF(47NB<$Z}F>JOHa*r*?DtKiKR!5fs!G&BonPGNsz}l z8h_)PRIO{5{}>Y7?~g)vyrA~STE}tpbZ~?kv?QQ-vIP~FX@&+<-o%6NaTc{XtA(lr zhoH*pGxj`SNkI6(9aH(`{IpsPr!GWyU3byf8}qd6kw!8+_3~;-f3{T{?f%7ZP*JeY z0awnN+zAIgFxnJi8EZRs_|Z>7~mA@@Y2o*Ugi#qi|&d4W8?7>h7|*Mc5t(Y zi>f8@Wb(U9AeqWLCdb=Y`%i@JYP-aIx3Lh^zh7OlCWc`y3ckyD1|`o%=0h1((19mD zDU~5L8no!5{kPQ*a(UIe2;Uc*gN1v(ST}sRtmfOlmsimdD7N``JWl-)aPv?zgCLb& z{_FypSICCXLI@>Z2A&0EhL*M>6odHi97O)UTle8aZl2*18!Iu|9F6zD)$zK^Z=h-U zQGAycftQ#L3h3jtXLw?Zo+l0Q9a;@pXMLoq7#BaxH&L*1zgCGF6HRw+&wq8sivN1} z7{Bka64mBPiJy_1oB3v3e5@24`yh2}z01)?ct}5K`{MY=14HLEdh#4bb;5)!=%0tP z3>fFiU7fX0xf}LDy(Tp_CKHaT5LuDDh|B(E!PfrLy23j`Bb)NJnE!G%!v~z050>}#}f;>QVG4iA%Wj9jH20E{gcM823|r|(e*X;1m8Kz z7`1t68ZF*3Y0TnQ{iHS-wrafjII!KBca)5F+@5>?t``5g>U?Jm{Ka#}x?y@_IrFOr z`6!ong4R-it4qWRL^4W5O%l^iP)t@BVp!`0s|n!R64*nOH9n&z%1V@6ol#j7XCO`K zIaIw3o#S*Z=r8E#f+$28ZR^wof_u1%-Gs84EI`*;S2GpQ?+EO6I>-(hkl#|H_9pPd z32m<_JJXDsW9*xgfq{S+aa?!O3a$J4YcqL68aVi3Aw4ji&Iz1sGH8jQrWoVL2tPXq zM&`6Axz+Qw&FXmhJP?1liDH7*^@*Mm-pp;VyYbTLN!fw(I|@Zl{1bS7_ifk|^U;}m zmPaqTIdR*}+^*1AP=kJCOnP^%pET%mN!hW36s_hGYZzaY9h0|&$gt*Q;U}APKn*SV z(6ut_k4TJMlY;ys>e%icgpH!^o|D2Nsgb2{spehp(>ag_O_1Zpg_=qtG|*I88IG#j zAphn%C+nD++0mnknZEy>|x`E|79ZB$F6L^ETj%y;e) zFN15B<=fY9_p>aq8)R?olIpD#a!g%zPNzlcrW3>jP~MT>a!y6Yqo@`1J<7r&!hY`& zkTq}GYE%UAwtIzrUitKrIxgs)uYP_uMtX=Q#OWPyip^)#hK28f&QG`+&?St}id%9R zQ6LGIP!EFeVf&r30jHoiIR)>Ac!a4-Qu3`N>@FR_O-V`mv2@6aL z$%SK|Hn=QR*!UBlfK~zMj141W!|$P>L4&UNtKPCAt9SUV0>vbhonF-s@2W0}2AqD0 zDwzSOMxy*%i9Da$kvEMY5ouGxhRI5JHX@Xmd;ZW$N{gYY(;klXF&B(q~uLjC7lJ zbNIc}PEp}&PKO8jxzt4%_U$`bTx=h-Hw9rzoP4E?9=Avj+<=Gw+UnI?t1Qav>HH6x zlpQUvc5R%Ijstpko>J7NqWp9h3PvZNwQ1j~mZ7k+a-gv0{prw#!uR#~(x-i>TQQ5T zZ9SFBX;>&rQBstx~PoB#JmW#q8U=HqNZ$Wd38wT-QH(_eBL9W)Rrn zmj5EmK=KqR5w-e0{;A>Cb)zZ@vco}n4fg?3W@oiA`~a}Jt;fQH zdtzV~cKUjQ&=K0IGq8kD#6UMejg-^=&PPH019YIBq_vKrl>Pv}QbB}G*BY&sisPNC z;oZN>Na4@HE4Y`XqT%gsE8f1Q<7R-hw{U~2vwNKEXRC4;n$HlFMt}mgo?thwr%9bR>{Xgw}2{@Hq*KiZ* z=%GP07>*`XoOv>IlA@H5Su$qIlw%$uPl-x2$dqUjDoKMOV+l!yL{dV;DMC4h%-`Pk zIY+AJd!F}y|M$DT>-w*sYhU|5``-87d#%0p+H0-*-fPL|rl~ePcp)47Q826fdJfM+ zYH02X_}N3*`Xyr?FT;?HyvNsn^}P4O&{$F+9OS3oF|00NuZFk;+nS)R5OI)!d__21 zojssXMFj^5p)a6n50fenj;WqMusbQsnQcpJkeDOB9Vl5)BpCnZZc=SDZt4U#GMfD@ z)6p_#aP0ZLGqB-0bx4f+#&rx|PWi&!mb=eh8PjY(#@%izKabu%$3FiV7$8yJWdRTY zJ14Sc_T zrdQ;4IcR|Gd9eLlXF>6L_IE3jgCSP&{So^Ih;S!v7-{#A%9-qx&4Iom-(Y-1uePYH z1KTFs=ZS8_q5QaK?0tBb#0?z|*oumW!>Uk`kx!1kEIqE2XXJ}rx#66Jq&=bb4>*Df$M2&9XY0qZ05E5dy3`;z;e zs#&_|Y2JroH`ndh>{z zTfBu7-sfE06&Bq4dhyU1w&N#7L6??vwdPWfLW-0lmNHO4-M?}))2yYcn%z|RNR zv4M*lvzDW~l@WYlSlH&mmSo*iJjgNYq|Nnb7-fj`J2^4uQ=j(AMvj}F_68~U!29xh zxuTy0b67l=t#&6Cnk}d*3^^Yw0W7~@fp(utE;OJ_&v0P@UR;xFccshW+ZJ!dv)>AJ z^Y?=z3g9HmX9tV#F!NJCTgwHS^d zM7VRN-9`O000mhUsVyz*&T=KY_plE zUzZ-2`tt&|Rs+Xj?33fsgr_ZYE$(sMclz0pZt8`O)V{hS#ak9}FmANKq<&ccRUR)6 zo+ipt%s$+21B)XK@LCGHY2^`jNN0;HddS|3K@V$RfkA^714SGaj|k zTFfQz*Ddd(&ob*zoqR-T9P88k{HA{H$0w|W(*-o}4P1-m z=61^_xDBR%RUG$4JDNDBd;<=x-cU^fm(l~4v)oBT3_ZFW$x^@lIC!_%e?G_LS#cEN zqltYY^qWV5eeTwG#lDA6Oz?nD3eqqS1B?PP%;L+mS^gJza}bovcN^7xXAixRDqs%h z#Wl}ZA{v}k?)8!Q&ficm-)*Dq1wlUi=6bWh%D4!uQq6JN@ZA-e0UGxuQpYPD9qx4P z+c4a)_|3L+klreQW1MOu%M{i;VPH)IK6g@w#xBkVJm?9FqBHRt_^}IUy;e;~fr=`C zEbnktM!6_!_ok1|Kb&ZF8eO6<0u|$JVe4bIUVx?PS$sQ#W3zDS*EQiFm0BSimeEKEwaxP^5NWO@f$rMBS1Lq zU%!VhM=W`~TNN0D_DG5zZmz9b`xT+X!kI@XM+S>7I&dUa%Is*$ST^v< z=+j)jG~8iwu8YvRU%=o5|)g{eBDnc>1J2@91jL5x0D~zyMnwAg7D36AkQZ z%5KRp2b0jeY|)+SlgEU5wM||15^KK=$9`bCd;s5f2^NZ9SI~)RmMsE4Kh-Aut~|^h z1bWVG=VePyTgDj=c9<_n(@jh=n1Kt>M!YVu50(NqEn&>kZ{QThwb7I9A4k2V;p;M1 z!L37Kft{j(f(hWLec#~i!@kMqq0w&5F~+!4HE;_^6>c34oj;XdWa2&0cWP8=Ng?JL zD-8L}gL8l#IzjoM+$Mt0c-s-aCVIxv3gfP@!*2UnC`v{ zqR_jk!0;`J=IA%ZY%=hc?MbjZ8vtIT1uXbN+UzvG@^xWHz5mU^D#Oz4tO2|}*h_$8 zDApjZ>hjp?@cyuCWfP^>c`|EH?OOXZN7YPwaqIEpE^WxU`7>u^7e&u?jEGukf-|-g zQ?gi;n3+`QH1?hs7@g??uHOQ_J$h5h=8u;TPgMg)8)`iYh!;MIZyo(rWvUNMnsH^V zFIagsbQ7~h2UD4!=gtC}ulvGRE%O)ligbW4@)88eCjR4d8e066fj%YJ5FK7M7TgLP z=RCRp968k~o@p{;%Bas-<2H+1UyoWAob^q_~g{Er(FKtRm#iXj~RF`;P)S!F#MBm#}__>#%)HIS8YL)7H>WFu_f8h z=1Xr^+|9UcJIMy^Zc5CJxw#WD8A=`v370hNu1L%IqPiur(~~1skR&UE&S3nf$+LTo#IF7SR z7OMb_CUv<)DCC*M@Q(|D4n@2LOudrsh=(#8HCPP7ZE6pX+@|*k> zRF}j=Uw-j;j`u;cjVlgF-8ENEJ!;b$K-dt&iavfcq3CK7*0U%d_W}Q@OqbovEKPD> z2QAdjQp6-ask@Bi(e2^@8-lR5i-v$>Zue{j11j)#@JR1R? zsBo*X`ueaAAtuR9`tBF1vvJN5;n1Q#uVcIRTza`-Rs0Uu*Lbx#JIh|G22Ktwdn8lk z(5YqK==wG?eHDpPAtPsxvh91LY8{bQwMgC7ln^p!SD9q6_re_IJ;<+$aF%{`BvE`y zD4H02-^B5y$3y}f3$6pYz8z&$Q+_TDGu|LA2^P47Prw-MxtXV#!lwRypDT>-8 zCY65fV#sRt4+ZkR_W^y?Vyix~$MB_gk|l;dUv&Gx9#OGN>yv~)MHYtMXn<7}Me zx6zhTvQFc}7qMLVSgrXk!B;7d6)i{|JYs*!p8gsCC=8cfd_tL&tFq@Qgda)&XcD7 z?j@%hs&rMICsBepp%NQIVVWp~#%_N4S+r8(=yT6z%z4ARm+O>Y`Ru)TvPWlgiqu_4 znJ}?K`(&#w>&`Kg?X)|SW2CImlU;DqK9G03#-D?-ds)0wwtjA44vg?WemQO$ z9Irh=1XaDh&PoXLh>lPU;U(@BX-u#_T&3{p z_rW2hu5A?xb%Neu>zCJsvs+oH=(xeU=`f$7QFvKw-~H(B<&`~=UgS1o=_&`U4K)iD z`gVI`|qzGwW#k-)^oC-Fikck-+R!~ zfny5xIVeS^4r$o| zJvO{+EIh|EZ75xSqPw3p`b^0*(5TN$mfnOhdp-0fWmKZxOfm9d!9+RBE3tWUpr`U( zwOL|hL}KCL{fSeV1*WE$Dw)WO|j zy1R@DbUk!ae1rYW{T>|od}3_vipJiJIv<9199^?Nw?s+o?AY4(KDtVLdRc0Za17&p zy#wvNgJJJV_rHvLmiTe7#|!hKWcX7=S@%S8Mz5Pgw(o(raW_t1Vm+;o(jMGI|E`~s zCN;urn@Sc4{7l*)W}Vrv^@4FuWs^x~U`>5>aKeo{QE#0OdL^$Oav)AR8_?&k+?VC9 z*6O3qN6b`GQRU04eOVop>1pOQFCqDQk;%L5sQ5=dI*Ru9hWzj3Yj?+~Z>3D#_j0>m zaI>!^Yrw0zWn%K%hxZYf#56&(h&?37=-VF5Qs4VcO7+bBCHC_(sOdvS?<%ZHt1AjL z8;93b*k@Yl)HG*#%|4)1>FX)k*WH0pknOz$L%?w2mvDl?Ai+*x02DllLd9`I#2{f( zVCg>e{^>Fp7v`5xDKruYkMa*;Qk24!1&Yvo^ZN2E={55fFPnNrRC+UImaF=Xf48TF zIz?JwW4zw7l2uh}B{rYSFE%bab2U~?CH{Sru)waD6NUl?ZuPT(n)Z=RoNhQyXRj*jCA@mDwcPq_$| z?LjJd1l^u;o7Kg==(Xs>*4viy|u^{FSnF`1V=}N=GoneoJ?2*G_ zVc;L|KYazm_JBcZfk;9iQV$YW2!+}13OjAc~W{m9n#~qcuPiM#tUSNgrNl zSa>6l0l-LD7?Fs(lp&n#MN7tF(f@&j`ghwP;HYRKm|qZ-2~8zX(PRP{MFWGSP_bw{ zg@h*1ut*|-al-qsK7ov5=L8C@|91(+y-xsjVS;UN6Nv!m4hs=LC4vMRqEXQl3iwUH zqe-B13QQzC8c!pkKthvAWHgBc8X*(V6e6fg1p~l>Yna3P1du?KDhhZWwn?MXK+Z0M zIRXrUf`U051Oy5uG9WzoEC~S4ZUfW>{UX-{B0vNcNhAsl$!QcYUQkZP;Q@f`euKynVo|V95_kqd3U_cYN9YIkM1()E z5Jhm<5Hy&Bgv<-03z}v#P5#_FhF(_cy{k3I4Ur5E*WsAi<^TfLvaU!jEYFX zfd|<02y`3>5Dw82dfax#_*<`9e((!gIN8t4O|3mnAMkHn=3ZVqSx zjE{&ya(F!>A#=^X59>@PNEdKcVg6(HhU}Ef^Ssdj*DwwmV3h!gKSxBvbJ+-FxSS1? zM*QdfbNlJXi{U;$rK`LEg?g*G{(Q*L)agZde{-fl?=c?!OdnMVo(t=*#|erC8#rm%2`2{ckPN0W9r&DlW++>~1sx_z%HD3&G_kWBO-|s3XC4#vvIxt9{E23?GyMN1$q6ufgLAQJ7 zTfBEMtAt;*`&E|rKhZTWx!B;mg(JWqo#%z z2Z_w62eNKQvNQ8AY3GVg*n}Q^Y#)<7J5F)7O2f+(Z50vmnz|$%>AOwyHlNIL7JP5@ zFeo}xl6eAcDZOHoa%JlFrNU0tQrAg^rl(dlNB6vcrjt|}wLFM-wmwy~;Zwuc3rd>n zU%D^D*WDsjEMKs6`)b9J@Ei3@yN!vp_$76vi*FyCo2M{=-7{;}QrC((2NKmI?|*#i zk}+_f*I;yVcA}bY)L-D|_b7_L3W!@Zw6%W{5FzrW1w*h9W(bCCk!FTO1Vk%@VN9;FP9#7_%_P&oYG6%0v#FBnpRunrZ5 z8A2hv<_d(|{68ibB5ak*>k!_E2!KE~gbWkR7sB=tE{aD~@)?X}rlhEfM}uJ^l~r+Q z!0&&SDrbso%D9=z{B)RMjEXXN2xDb|#=$-?%J~1b8jzhh)n<%lhLrV#mCq0xeiY8M zWU1n0XP8W!?43P8#ALP=*3;vEo`zwD`R%qA3!V*Y;cjd!yZ7fM*!fc<@lMs zsestQ(9R+a_Ps-nF7A%@mS|6c98C_t32o=@e#lK8gK?U^CFjDhl|f;ELF9mk6$nK< z^Ql7zY|xe#Rt}&SP75-?lmMHzcX8eZ!!}EAlgDF$#7f1Ju`~h=hc%X&VFdAJSlgh0 zHcmwWU5@hyRACZO9Bk0jWzY%(|Ip5yG6D_@)QVrquv8M*Vt%fNrD1=o2h=)%sGsZM zu#f_OEh7Tb`l$^3AcG11rHla7o}bI`WIRxbelEje@mQec{PZlIj03vtFJ%-Q&^>=C zBh!e#;s8&ED%~&jsCZ~rf`8Mv0%HMc;jd)`+ON3618wxTK4>Ju@AdH5U+WRDl;7K< z;($YpEqW%jXA#=t6 diff --git a/dev/_downloads/f0f9e180dc0f510887f7768447a685c0/biomechanics-13.pdf b/dev/_downloads/f0f9e180dc0f510887f7768447a685c0/biomechanics-13.pdf index d0944d3f723fc87955c8686a4e913f4517012fc5..6f10eee5a64dafbc80ae8dbdc5f47751cda6890f 100644 GIT binary patch delta 19 acmcbga6e%~fDW6Xv5}#v#pW;_P8I-6`UWQe delta 19 acmcbga6e%~fDW61rLmcz(dIB6P8I-790n)= diff --git a/dev/_downloads/f143e8af7f67232f463360136b513860/truss-1.pdf b/dev/_downloads/f143e8af7f67232f463360136b513860/truss-1.pdf index 33056b0735b5ba08effaa6cc3ed3bc167d469c71..d03c902f28a38b04bdb385ef38aa8eb1ae506970 100644 GIT binary patch delta 19 acmZ1`wM=Tm8g4d2V%Pl1p+A$q^KyMfS^c`DjVT8iw58j+dN|_b4Q(AAym5-ifCD&n zbzTSeBj`ZoUmno%aHr!4*Z_Gm13PC2dpb@D{JGnYu5CoOr90q=;0;4tI^Ds`9Y;d{ zIk&)@;HIa=W zPkZAiK)fC9?jFcr3h2;Zm4SZD)t;V%yCdBRrvO*fqPZgb#mQ^AB1+ihVDE9n0TtVu z?&VK!K+JFV%<~P$L#l9ST!%VlYg!3I@yJ?m;bfn*3-4rJ1kQ_ z6D_lZL+^cdUaa4)l(EnBTGAnLLBWtF!P2RL(%BD{9W!+~!9x>LGZUSQX1-LG2A8ok zQf6mn2!S(0Q)3>fLmX3fY3b}@_Oapp=E@Zl4XN!mT?e9lgT=n&%v4rZ4yp%_PfTnH zQ49HED&;x-zF&jw(fD$x;Qo=-zQQvW~U0Q z_e@PSc68VT2Hv)gGSj+~W3yy!S8zqpt)X-G^Ho_VcDs1wlEpfrG}KfsPB7N94KKg) z#?yuH9eHtw_A1yd(p)r`lf;nDQ`u`|x5#77f@&qEbef`G%IO=YPfRe}qD&&k68<%R zqFJe0`y8o0D^H+;cizXO?lrm%gU`#~?06bjXEJ%G?VJR^1oG&$?AsYEniw``taRiX z^Mi2C?A$O$G#~bXzGHP-uXi*0>=a`}r&sm)2xZ{UNOZOQyxY;5(dcTcqhie)8$-mT zdFBo!J(M05FD#kb=GTckTtZ98r%#)DE1+ATmnj#jr(2;*do)MKYpt40_WfFc%EVzb zg~Csi24q8T49=Ac6`0qpB%$3?%pbH5PL<-{)A{_?%k3qjp=zN-L=3yzI9za@|C##c zdUoDvCFF^u?#nOg<3fPs7S|m5?BTAP`uUO7P%%Q@u887vzT9!GPN1E#INqcAdC!eR zRZOw^ju{GcXKCgKjqAG%5c-rp+Vvni>g`#-@%zjgY!``9e(jk) zr(eQBJqrEYK{^H0AA_Rf+4X93CEJye)y$o%CigT|VwMOFmYnQuKwnQWx)$44WOSSZ zn}{{c3~v2~=`1f@d89Ks8nv!|zwo!0R;9ww?3r%&I?jb-X3tK|_J*q|UAtx4#u!1L zEv0R%X&FhLj8q1e(B1gXqYPjmp#?v%9@u?Ux*_>gu(SY>uElkKsW8x9rPJExG4^3( z%fWS?w=eFk^(cD=bg_nAcORmX{weW6P>29#tZS7`DXxdO@~KHpYrf^Kr@nV{9l)Fo zF-$rXpAm4>_iGJm`DIUfQ%1o~*{zA(sUo%StR+rstts+EVKY6Wvw`&tQ<-l{Y3{1~ z0PLKikiOMWHFcNl)mHoO{S1I9n;t)MvIkgeD|<;pQ0=8O8Ohh6k9y zpQe?g2k%O0gF(cxOSvU$o}f>AG*f#6N}_<-D~0WdZT0{@iAFhAvmY!msomHkc0EvP zM($bF5$>!Uo#Nh;j$wAFW4=qc5=04PW4m7OaDSTW%z^o0RyDEZN1fik5a)-udY-A@@GS=5DsB)BfP>}}!~k1-I8R(Wlj zJne;HlAg>qs+GD5fKe&zEfJu8ISh+4DUqjE41>o@dME1l`xt})Yq5nx6M}mTU2!(Y zUo5k8pVaiil%H4GK5|M3Ly1`Shs6c)U(6Q`V&U7@KT`M7$-sf77A}m_uPb$SY!9rX zcnLK4VKLfcRW#ADE_W})QMu?y*9#zjf>ET&XMjigZAB^~CI}wyOuQfZV;-3l#gWO0 zTf()0XOvm~d*H&X=v#fd4*(ve!|po1n!qqi4|41{zE zZ8MpmKVkZn^y#DR0}_p1d?0Da!IDg`>drNqIW9v$>g3FXh8|4mGz-2@!zVF;N_t({ zVv|pgq2oi|N=6YcxMyqBMPis=Y)@R?eHh8(CA|@9{o zNa+VK`&`HW9z?}F3ED%aL}8Fro9z^DEe3k4Au`${Ujb`R>vR>x^}56YuT2q@u#yVH zBB9cn>7x7|m)LOBuKJb2j&}o2G(k=98yOtL^xi?goiY+(0iamJ33p|P2Y_@$dsfW@ zxx<)=PkJ`C-SDWRXA&5q+x*xlCtKo}>k|(tkE!Dy?VBI~hZe8z<>7;hu*v8peFL#; zL~*251fZK8aY$bBD`t6`iWfff@|p`vKe>3kKX5)EWT_O&|MVS~7_-I!IB4nz+>FLT zj$@MbPGrUVNP(oru-8*t+<)K*&gOe)myXN#IYD~LE4M5@=V5M?5wPhQjL@RueVH*J z`1T9Cs0k{qhkUWN^UW1akh=%$*A;h0V4Ku$5!R$35d-Lo^~CHA#}s0^KuoQm9qN6t zi_k%-mB2QMjn~hq<1Ilx?F?*hTolR;_L8wZ{y?MZIbnrHn2G}He93vkngswt-d3kZ zPJRF`=YN|ctsuAw%o;$pI89T72}^TpfKMSXLe0_J@59;;y@g3vZcpPMLm8+TC7;(5R(?6{Yaz#giu@_M9HH9P@3h)%S%xWvrBNE`K*=dR4_qDO) zrmZ_VjAg=7nnsQ9zD8CjbV+JtKm`NnQ~F+U8<(neo_i&F@EZs!4@}B>?b|_4C^0D$ zA0%LeLD}^DlRMuJsABn_>1`~5_XKHg6z^DDS%irkULj->vn{u#tkZ&TEv2*3JMv!k z66JS2hPJk?HQ_hgCHOtF-rjir+|M_+Wz|!|o6AeL$rX++J#Qp`er%#*r%uh|vzL61 zt@&tnOY`j6A^#P=Y6;*8uMhd*I>gM_z>+$l2ZVe1rbgnTN5NFXb`Sk_t#P5>`NPuB zO=j7JlGhV~>1&TTT57Hiuv-DA(&^va{8}xFq;k+q&eG&$5%u-sLNLmi5UE^tUn`84 zue1Hi-4o|9X$y|3Jy%ZcWID2ku7zH_=IOsQ;JsnAeWZYhXoXt&jnw_Zm8&FVwu-rD z2BtI}Y-Dd+x^`QqrEZT!Y;30VYLuQ__%a$U++d->LBsV=Ll0P zHML#|sFCh>BfHjNf>fQY%=kl0e*!ag>HBz`R=I)uK3TvXv}Kc=3jDuwmt#WkH&(9V6HikGrl8pQAt_w^BoS zAOy^#>Yd{YJKlD!Mp2_;N4h3<0_f4DCR6gnPN=(ktAeS5{6Kdu52H77CA=!B-$DBG z%}wdEpPsula55Rv4PBT;YT3kTQ8-i3z1p)TUod5ReJFYT-G_5{;2UP#J%nb9JQjd} zaSyBgW)RScs&&K6XW8aXY%1e#27|?Cp%waO652hVqEA$vWoM43`v2hz6lXk#=<%`~ z!*%?KL|Q!1a`3E}r%-?h~hCn2qI&GnIIDeK1z8 zgSNOyob9Pzl%#PBs>RfJhj-TyX6b^XK@FnydQu!G zF#j&Pu)L2%f?mmFeCWOu9k^DlqVxqA&L@U~ZggB$Fa*o{ODFGO)q)cr7h1evo zWp|81rEw9yx0Xj8=w+2TDMTw3pp$v8bneQ%bUT8Jv*=h}?MN6^*&MOJ+H71X{Rq!jDEZ2cSU0)%_Po3O`wa z$akMeSh@h}`+d3p9L@9l)=;0d`ExW%`*wTCba7C)c+#4p+PRoocJ5*EpBVDIK8$9Z zagyu>Q(2D)F-etNu%0?cy&wa9XxeziTRI=mU$TW_ORhA4=c8bCzXbboHi*uaE^^r| z&$ux>o^>;9svY^yGA} zOtMpe)0{9-iOuUgET3ok-4xgQHg1B(A!9>gt{pIagsJ%Mx~fH(77LCBHW<}!lm8AP zctAF_dC8wJWyH1^?}dm;H>N2hrTc>@sw>l0?K2k$^<}*l!GAfXM6VB1GDS|!JOK1L zec^%$0x<509L|f|o{D1dGGCl=sONj5w;&WGdnvv!fnMg8T}d=mfpAFQni$0m3;mho zTeOJB0E4{5#C=N8F~pt8Feb(F<)|IKdCiXv!VptB5sEHak?D0yTz4Myp3>J!iF@>* zgsY;umlhzH`*>_oopIUzI3evd=JeYaE&T?fmtRgO>c!?7%IJ2Am752H%H=5PClR>Y ziHv@y*fx;*iY{zR6qbNu9=S%84NqGFAG8;Q_|yvrQ6C(>G5YCw&azA0H#;GUzZq|=O%|8L{IT@H?nIYD7^c#n z$Dp1bbVoJwedEV52k9Qgeq`j$wec(}%t@aYpBXU8Qmj>Sn zSc1RWv&*8|>uvh$I5gn~ZgLXu58N8k3nI1AQav=+t6zPH$RxA@lc~?5LNqGfIbN>A z8417|F=b%!w5qeIeRe<-tq!h3_mvqeERY+BD55!j(s11CL%L!D*m;P*dVz*W6@5r+ z=XU1s-NPF`B6(4&@37p|LDF(;ljV4^VB_q1F<|+svz$!7v;;i}oW!p#3lq5>C!t%X z2?AolQGbzKB(*(Ty<{$_&X`r}N}dm6c!qi62UC~}`!gS=(Y#^c?ThOT$c2GdI#s@H z&2@DU#N9LN(|YkkUr`D3vUs+3&l#a$`JlB?)yMn9B!qp=&A5h$L@=3U?Tas=(B;&| zTnj6HLPY>oi{O&(J2L;_nS->E#Nv_uYtrQkhorXpC+jfa);Qx9P=c`Az)6=8U?+! zKY&-`gB#idFCNE~i%${UrZ|B{k-YC)Mn*H9(&TakDg@?H8JY9a#SbpTLJHp6Sec0z zz?SHGK5ZOPH*5z3hqG6rz$Um?$N$lz#*6 zmL;9SzUCI;2g0{WLroZ$TNj_TT`dh@;-UIH;k5Mtr0&6s%#w{>KyEZf9w2Ah3JB&3D+R$T}g3?U&tTqHn+8C`Qu!7{+s( z3t^E^M6Nnyaf?<^iMd+7?~{4ldLvm@g*^N~^=x&uV;xZG#1lc6xtv$lEGoqYVEIQY zE;k+Lg_v&`BqnVI(Ogc|W@H<}2Y`nMysjSAf&9z9o;EsX4#*5cmMz`Mk9G%T`2}Vo zC01a`XZLshFdal&G9{WTAs={HeZE0Y&j-|WdG1Ol76IUWx%EE39Ks++!u!;Q($s#a|p-OGkqBp|CsHCL$+DAK3wNOLU2s(s4yMFo|B-M7ee ziVwt8g2bPwnQtlyb3NPEwj}^=WX$+go!o(AfbFSf^P$|w$=|HU|6^{OZJZq>;i@L< zS!Vuc{ka9nXmH~{#&b4(cl!sVp*_vJfOW2a5ye=)t zD~D^yk{vE6S?5?3pXR|>HfYjlFGqmvsJUGHp zImukm3oCA8`O>A+REA?JK_D_e@Xk~c*2ep_8{umtV`TJ-4~V=1N>Q|Lu$SeA`7GwS z?AA_{igi7AXc(>zpk4wCrk#;=W1Pn7R{TJIlJ+7rBO}=Cmti0B5i0NKe!gpo+GFPVvswS)_xSKxkw zSbTt6WHUHKCC9VSEh}Yu4-K!A0%W7{l$}~(BnZu_g$a4QNd7Jxj0&$YX4TO%CIju) zu0uKs0s%eT4n`Txw-gi{MV|bb$?P|o%Pj$4>QcR;z6Bc1lw#n04#IMcO_%D3dNrsc za=cOs4Mbq=KR^^3xjPryDIkVZ@3I>Z32Pp;kx3h90#0vG->VR~b&hKP@J@f&FF*{^ zG|~!blc~Nzal{%pbHi{w!5ykmE+;W%^mQlJ(HP3;y_-%!NyS04l{s!Y!~EWGuKr9$ zdWzi_KvOa^(hDj;LPqk(2seLNK9oz;O;eU}+%8eqZ# zdYO0q@leWMuXZHfEkMVjwgn>ansBPBaaRU<*$J; zJM(B@3@@x6jKBryUKQCY3e5(eEF zq-B(`{8T%o4J=={w@Kqn00>o*>z5X9-V94MTEm21K+Qb}=0*k|MokgjjU}A&Uk4(v zrE-o+DrqH58SAr8?pWOi%I$oJin{qnf4An1LfhF%K-oHwcs%O;-V}u}?lVR?p3DWS&N2|gU4s)Y-i+^I$ z{0gl6?0QZUnINvd1qgiW^TgFu?jtNtllc|djs#6zn4T%86Ix*xK-DgrVZg1N@{9N7Ex!SBikw4ywlEBz-7sqRc)n8#hrXVZ-6S*D>nrA&-C<&K# zLdZ9z2f2d0Yw4GzlKMSgR#*fXaAr) zT5KWRVO7U0YQ;RrH60ozk{J$vg0gs{>mxM%-`9IQkcW&adMX*m`@Jx>v zI^-Ao6}e(uq3jzb@~X}Q*OA-2q1XU~hO?fmw$IuiaTI)2-6{KwZVjsbOfQx%2J_b#xpn^ecCF%1lu7?8{(# zG$UaV8xkeQb4+^pe9)Usj^gYUMMq)%%0yj-A53`v3oa{0bN6_Ho<|X2Jq}qJHC*To zEq?YnA{yqPLn0bX@_Ue};*uGMlIH+3wN_PA3syig`4~?TN0x#_RU^Io_#7CLLXTzTSiVY|#Tvwznkz_LUua#LHAMPM~-y{-SYtMB5Y0HbH$ zG8Y_x{-2;XwB-bB^$%n$&lER02Ke+lb^Y%W&?U06%b1njkkTRt7$NS^G^j&<7TbkqAT* z?)_$!r5h#Ent1szbzkO-HXbD;EV2SCR+%Tz+}8rTM;NTq%UKQW>m4(_mFf$N$n}x7 zE!;t-O$II3N3fLT-zjYEpuzOr3e3PZR@foIc|RPyl4fBE{Y^6Sqa#`RGJxqL!_U4sP>F2CGR7) zrlp{UU&$(9gqy=j#ndh4B37gE`3L48y^z-0a{)UyLSnv^&3SX0TL`;YT)VF1=!tb? z^G5GE#?6mdqcZs9RByZ^r{RJG_Q%JYF7nq%4>FmO7@yR%it}WMAsAPcV8Y%jA*l{?owrs!^ z`5#Fy$-6zFdZ>2@`%X)|xF_Q(x6$w^Y;`WI^D6V*_Ps33VRm74-sOSOEpX6u;E9GO zvruts5Q#I6T?b!qD@Us&sqcja)p4Ce9(%aN$GkyppsfkSvSgR~Di&n<7Lm+h6BsjC zWWBkoe^lOI4h{DOf*yj!V$H!TX8==D?acUK*Ch!$-g23R=>_|b`$@08PBnMIOZURB z;BV#MYNzj`W-dC(UYd6K%d$D2W&E?4yM%@TbY@6;r0aBKK=L(bateYDd1z5>v zX^~8I1tACd4qP1{V+?zpXvNpq{}PbLdkR{`7r7ma+twpHy`XmMCX7=8*23;k8jsPf zrLdkJd#8U3xUkm;q@3AMcL$UgkIyve!4IB4P8a3AMidvbPlmA{GNXI;@jn<|zsrI) zNN85F#F=%-{}qJ&&lP!+6#iWDJ2v)zB=`oa6pFn7z0LTVWudglIe>Gwnp`qCzDxxe z_P9HB@jTc{t`^c`0rhk}4~iMj3OIiP_$(>G3*w|)vgv(;ZIk^VZ!p;}^8B?yqKnXuWT>u&Ww3+D z_pL~S25d(08$QvLBFBvYG9lnkfyLiesf-O%0xT#Oj#ptPGiAR@&5v3B}^S zifPocC;BzMcX`Z?%g^?9%uLwKOf{yym71CI2$`Phnw^>&sm#%^&KZ}E<&?RO=@ysx z*tk?@2E3Ym7Op=lX6>pnc(N-vdvLHdF7e&z7m2kCY@8q4*#2qi$8+z)nX>bZkK8}4 z5?VSi7_CQskahQAXH-$ih+xVea$X@JM06a2ngw0210Qb8h{StoG)s(+v~9p= zw>*{m`eFMluVt0xYxFI-qxanW$tU~pHWyN551G68YuSXPa~wjpy)140hMR5c$7y(E zZ?1o1(^&L%MB4OEgPDGVb`5Vb(W~F{?u*WX1C3i#n@XnV=mx)bG@6{M)qeQQd)Z`|TrAA>%QOH-8RAY93 zp+itn@aK|`SshQJi1tC#J#kfjA=5*pa}%ptW6-ji%B#c7(U)Wm24uPk*#R~?D>@?mi5EhxOBdWch zwRxh|!l&nJyH{zGz?NiVk@D3w>!j2#7r!vCym&J~TQj+>Ra8JXaz&<@sA!6<@a;TO z^?1=Hm&1EE_t6|jN}qHE%$-eLv-KauM33QdO#sgQVTbwTciMV8fLGd@re?cLw(N3n zwl(oFvUT^CHL!D~dHNt{>$GTI-gHeTTQ3}*S6=2(E9*-UcME?8n3O&e&2x*9%Ekw@lVJ8iF<#)RyNAb{;hd)m|{&-7%7mZ4F zK+X-K2L&yVg%ok}ROCb-9w+YyP94gd(vHxbklDbg$DhX{v5o$&&|g%6$@`!8?P}|Y z96Ka~?fqK~;N*9B+oNY3DT)-FJh~G4hpZxjj2_}Vs^dU&bfTjcGUL8PPEaCeJ8AYi z+#OvV5LL+=(H-1O&=>l)e%Q{Cjgj!b9A$K(DRF5ds@90Ubr91*cGa#Rzi zOi;#=31nUhBCL`!9;c{8!VxHV>>?p@qMxJV31kIuCn%xg|J}vQ{hWY|MK5#??nNRX z*u$d=P$nW5G7&`?r=*1ZO;E&ECq>y-#3r8lAaU>El37LRXA|hjz5drYX zYxItOPCzc??5Yy-JUS;unS$KGd*~h83_*z(y`w^)n?f%#0zC9t60&hH2Qn5}7kf=0 zB8pJPE|L-jyHk`9d6Dt8O+*5Gq=%#RDj1!`6F z{xgrGA(b2RkT?mCe*57NCI0oCv?4c*ph1_L6^Z{jEAEbbCX8mq*@HWl@bWerY`79O zIvXjZ7bDV~@O)*@z$_S&}^MsF|v;3fO2l}GUC#*pSW2a{v#j?pgd zG2YyIdzt^Nfa8XXcl_VlUmN4I|1Pcids0+HlNEPAASrTBwafoVU|JqtZaDd$ff>Q6 zED`Z?1tkg*NfiVFdVU;kkw8Jh_nMWw=|A#UHIW0 zM+lE==ZJ841OGwRUlTa@=s6M;{^NRT1{48=L$yrv2IEfnm_2O2@~@tYGa=bM*CiGR zU-x_Y;Fdj)fWpZ=m21w&{fG4j4YJkONk1ywLlL@bsI z!FrtSbz`~Y!!0jvZYw|Ml_X9ZpB}ueWM$Lphi~`?^Zf$_RzwKSe>9)${ykpvcPxIw z+A@5Gn%-d_wr$rEiw=UqsScj7;4O`AW}mhn z#O<*+B;D{G3K*7r?-{?O`pUaM_^DZfQxTh6d&)m3h&w)Nbf_2lY?Y&yu;W#hW!d`W zVtNg>(vAWe35s%g-fBuXww76(?L~K!RfJ_x#IrhU&t@duu34~SS;Rf9NV3<8?`iVU z^ibo-I|`q@W!-F8`pPbEKAUBI`*c;(%2RHmn0(fn;SutDvHi5HZ`*aAPP+?^ct5z( z;it>45v}Vy&V2Rl`N6~GNsaE?$qgSniq3U@kH}%OC#L4x9JV<34?6q@s;!8`z5l2~ z(te7-{I&d_$3$kfuZxiPGq|~lIaA7vcxxj0%rZ3Z>e_^F2d>;%+hwF4kRX>_*xFd_ zOk~IA$$Fo7{IEzq`|{KC)N`kw(c&M^O;nw$+4%O(eoZmSH}z>ooBn8Bpnliw9YuV>vv%ygZQnkCUe#L+&X1M}9TrZ_FS3B*;(ZkE!9WS>ta-&@asYH?1HF#~43B z@qbA_|3?@TiddDv3qmbY+x@jr__a>ZQp6#9!RFFZz#-}4uS0(&>pK*FZRh;> z=_z^59mqrS_O>_$G{VX6Q2d_`L#P)V_Dd}Mg=7DW_rEaHpKtz3=d=`Le`%Vz(cFEI zU(o`6u%8d0nTxAPP-+-rKer{XOFM$~p1^jo-=gwC+B(<zS-@1cD-^dHV0zNbJTAdQ8;zo&pSOMZKg`1?3Sir>a5lK){GQfU8m zKIAX*-=D?f2}sfV*KrC2%5U=F@rrl^y6C^3`yf!zCg5M+BPt_B`QP6oBOR;1zegbc zwqFtjp(KABN1z~$rN6yLR8acuJtYe1xA~Nme%GH8;Wxb~P!PrZeGL)?>C*gdT_n={ zHV)}~{3bI30R+tGzn{7yqfL;%y{CkyAi)0XI0}LC%NleqTbiqb7xrUyMzjD21Zz0? o10Eizdth;5k2@8KFh3ZYH{I5Yj=@raLLw^hu3x{~K#TW(0BvrnPyhe` literal 20255 zcmeHv2|QHa|9AU>XhSMYX;%z0V~i|CsE|r1YsfHV31i4??2-^8 za%@hj$0g=+NZ{}|Thr4Vva&ewW3Fe-apFoQbQ3FE3!M026AN<(oFvlVC{A9U!`$W+ z+E9Ad3o5oYbQ}R|Abwoa^t8Dd9Y+Qqm0jqnT67b-IgSW!95$iT&FyV)B=jSPxR#~K zDVmK1P6|G?w>8r;r{naIVfU#ZQ!#g;XC-((fHRym9f>~$KoX7<|fu0 zF5v|crGZ4IUF1lUcG*q6N7J&xckj_wyboMyB5ozVfN@`Wo8{q)n~Vzy?zua*Y~0eg zn(On*Z9}q?t*&|Qo!3L}g!Wa6dyk~fjDBvKYDo3!>l2=yF43HFK7;FUQ&;3sS{wNK$7XU*}{>5i!#!ETvDS}sOYLBa}NGtKcuMn(O>L%m)@ zB0b*2;|i>-Gov13nyJB*;2IWxuD8q7bd}yP6!sgTQR}XRorhK>v_JK`xwQ+q)YVV%Kd1~G`@6kQq zJv8=svd@hR=SDRudG!R9X+`m$_7o1EcfEgm$l|QT(dEk(GME*QE4;Ag>sm#N*WR4w z;(o<3@0(xidNoN}lh!Gm@x)V|@yo+8lr`IzTo#tmKTu&=6#p9OW?AVS70cGuPIw)( zpLaHo3(cl&Z*BE>A3)KZxUs&AbBSeBhS7GW{GCB}|7G9L2p?Cws^mS7Uu5CjJ|$H( z$99o-FW>KdIvLmP?^)J(`_r?@_k=LWJw|L#n;x7b_v}h6RcaMqZu9am!014;U6b%HGTQ(FaQI zToRwl+fJgLR=Oth(U{{t(xYFHPnKe|EmM09xC9rJ@mM=j9ZH-e=*#g6^x?XgDIE7D zWH3#}^UOxufKKFv@8}DhF_)#-Li63R|0MEOMfoEy_w>eHCPIzSGB3hxTk+twHC(!7q zewDSnFeXCHR~FCCU@(3w%}TBc_6k*sJ>R2bX3l>EYto{^rKX{hJua~v>Em*rUSU0+z* z;f&k*rzQLM?wO36I!H>@(sdQ|IEyGLBjxkk3|CA^et}0U-g|GtlpPj$W=ig{4aFTO z_*x7r@^TQWqiB(u2dWWZG?~=nX4UgYp$H%Q42Qa3Vb1Vg{@};?EP0^$7rZZe2G!Dh zG%=%pYTm!49P@_vg^U}7wNTP#-qTBRE!w_flCtI*3=Yf(8vDFoY2=9qu#|)2(V@N$ z%&RKtEyu%prd_b}# zTYh>C9J=(5sf6ZMIZPXLQg+$vJRoQcacWz6EEXdyUj29DWBGn*NDxNHmZyBqz-03q zu02{+a`7tWJD+*YPUl|h01|9w{v~V*%#)iNpsabd5B10*T9M+_n2s~|K>)NC_C$_H zc7iDB)UQpi1Ci9sA;IwD09s{erMi9e2NO#Eo}e0sX`Uxy*Y}4!T)c6npRDNAtGq9K(445(_CDKf5K|H$uB_6*o)DsT3|-qj-=8d{x)D758ueo zRmR~!OzHsrv(J~2H;(d2e$>d%6KmEiaY4L)L#)71O$&7G28p5S7cr==&nKrSxRLc1 zWB6jBDZ%0_0{Ug$dG-E9Cilxl{h2&g(Pj6F2mpiH+_IWHqyTh05pCIAx%Dv^_oLpu zNZc3T6z$PYQ!jHs+!^Psi*0-E2Gq5T!cuhw#tf9si@XlnSK7U-znN13(Ip`<^I?%R z#321F33g9(BNM}@n}uItv!#i~G3;g|tAwW>e84nz;7qonmXv7(o(>6$lDGeVBI&j^6Kvt5b6#eYjy>1oIh4aR@c?LwxZ!{ zAHeM=GJ{&iAYe*9aaywRcFf;_#B)ru_yq>aXACS-<#zz*5On=&T8u?Kxj}q9U_2aR zm176f&GHin68Q^4hwQdXUQhLW;pSV*T)CXb3 zEF82hF!waw4dUEBlvDzZb>c#fA2vV}-H1ji^^yMpqMYui#mw-6s>luNXnu~l)v70F zU&@3PdhZ_n3y1Tv?AX=*G6=@7+~O1gHVS2~byRA40k9zBK4Xw$C+Nxjibm55%u=?D zl*6j;HJ5=l#F3*6c|o93YeIlcKFGC~#yFz47UY(_IF5!`xP7I=3IJi&EXmZxSD?u= zd8f_+ABk%@C>Kgg03n|%Gf5o~0pnUcaMMXsLutUeo&u$#RcZ#Z0lW)}d6Hd^dG-zi zZBHYNGcFu6$_Z*A5~$afRg2XclNx z(3(_I1ca1Hc^?;g3Bs{!#sj|uF#qli+H(A_0TK*w*r^w6d;u)(kaB|O!UQn*=`J_D z7|^8yN%?~O4?`4QqB8tMubD>9z&PM^cUX4|B=h!w#I5*ikRtRQr0_K84};99H&S<; z-N-VzBjFKdG9(4Bca11!=SA~(_ktr}D*VbA{g4~u37EcFSsdHZ^incL+G|RDA!Oe!BhtZGszOT6-q`$Y^-_-~ z<}`T#PNNp2p`i8yu->2*WeZCIPIUXT>PgF%EEZmma6rSXv}oZwz$NM&G{!dCB3m0dj7HFayY}k}81Ch+ZAX&%rB=$hKuD>u0B1Lq1 zk5c_*K`d>`q-J;-^V|aorTz31ZchW3)dH_;%la#+<5nwTPTMj zrOIoQ*`#Z&f8@FEKw~b+`th|%&mf2{-pbkwabP0cQ1ekg(0pBW*FCSdEg*i~69T>b z+n{?zADUYI5d^0ze`e|U_9Wmstt;|+LP2om*3`3l5`j8OdHE_EcJlz0wcT>v24>MN z^tsY=0mPqDLpHU{C9ha|BufHf<01W80A25MY(BZYZvdlO*A$ets`P-Qo>>)r)e;y% zM(;y;zJWj2_cKk8dha=FC^QU%yj3PgdQ}W_n`u=u1M^E;>6DQ1*WN#`CcvSUE9`W8+JGAxmTBKFE3duxMOF4sxkA9?RO#U1GzEp+QlS4 zhKJXO<&Oy|(aW^5R-R3&h<^Uu<$jXB)EuQNhbB9-X|+Kk?T1Zr>^}Pr zmT_;CSD-Da6=-X?BDpoD9CT%Pw7fCiGms>6?D(4Aw{CHg5?@d?w7in!MfqrYG5)-7BNuvXr>mQ_Ncu)%b?b4v4G!tx|0mw6a}4(zqq9qfJyy;WRSIV5u^BQB0|PuRKFKY@kv) z8e2Do+*lALyc4mSTGs&u0aajx9*VP}z-p{p`{sg<1DD;N-vtA*J{S(sb&G+xQXew> z9zfA4@wMv&;T!p9MjYinwhi36bUnhZG;!>7$~k#pI12&o@+FGcAobZ@N4?y3T)fJ& za^C5U>BSrTumW@u{-*CzzpF!6UpRWYwC=|Qc zeU?S03v&**W33FviLv6)QJmi>{A%P~Jw@;d5W~#Y`^~#`=>p6;zI`ck9z}YTvm&|9+51Y3iF$DPUH&rYVKFocWuP&ffVG(RK0V<8{7I&`TE3`Sh61kIBP%c zzgFLjxqe?F@vof6KZ)gYR>IMx2xPINX>IG$L)ZU7NuB z8uPwn`Y|U- z-rR294jnYc?_Sn6j^aX(mw*GrQ_{N<( z2RuDzQF_F382xADLJ!!ULy?Q`mBV*xWY;|CEF*qP_ojyQgOOkAlqK!N6wBEhTKRtH zER5K9dBrADJZXjippxsNwO}KOn~jSEPHwBXVk}7Bl~)&?Kx_l}bj_R*Pln@(q=u#C zd>Df%)~i;jc(Kk zyVl){e#H^K;`w6?gOBQo? zW}NJ;6vE&sRg6l$^>Ho;2-P>OxFO7;1H)eFS}Ui2c;2#@a|5N>(D;aM**`oovMdAn*t2TAm(xB6m@3@ZmtTYPbqkhD481EnaQs+iIGL-4 zXT+zRQ@R?s`sTV|T|t$CAzuitYhq4Z;D8V;D%rU#6QYWRwJXE@G6sC5*H|gcPt3=r z!C0WNLXOyKT!s;$MB*(6Z;%`H8~5cMs|TYqbW=;igCHWR?xG4W69!4DqjBC=6@v8l zel$t-xgF6^<%cobAWD_cmBGZiyRO&JPEl%LwE;A52;RYvZC++YS?D}yhMwF&rvnd4 zL1-T%#J(>%d~a2eOvv!{GWn3pn7rf^6I~Z8s&8sZ5Ss8<+qhbHF8~_0A=RaAfPPv# zju$k9h|!!f9#Zx?40OBeB2}me#KM~LPa1u0(6uVX=A9_Z-~u{16Z)d;Ht-F+P;%`7 zao_^$+C&4Z$_$o+My27;%5Kg9LklIQnO$lGB9V)mCqC|PO+;_zLpW5EVd zc6`?!`vKERq-UmH(bzu7EqZhri4CXUDFGPOpQOeR*#WMi+2nCF2(XzTLo-Rnm2u$m zHBW5#TUUXA#T(6dGv=B>-L;8PLYbS+K(%lg2InaQiH)3JI(i(>!3as|x~xY=EvN6E zcb$BI~>ygg6Agbtu5DKO(i0eE6kua!)tugBi7Z>IaM z?3OtOMsyIYRo^ogjM&(+BYE82f3-}{)$?CdbZBdhusj#Iu1)vN+mrHFK}N_s8(W*k z1qatnCHg#owhPu>sy1*Q@)^=j<}IVA0G16)J`e|>=~7Zn?^3Oy2j<<24c#>d1{0?~ zqbMA}O?^heX??~*1TL_2HZORX(dhvBOb(HG5UOq>u_{*Jivy7M(?f5R!R(B?*%X)e z#hg&$UyhFc=2}T&d#u1HNCczWV;|Ow!YDIt5oZd&YXf9#Kzn|r$5n3m{YxH%7W$uL zn7wR!e^12sVqfC&R&vw_n7&gk(c-EBcr<4F=^jz9v>F~gf&gDOH^Gv1^!|H0V=gX> z%eBO?xvDD#x2-1!=1Eh@Oe(alSlkbg>3sVhL^Dorgo=yTO;#u5)j}A;S8_$b@acUR zO4SvB(helj<7%1DU@L{nqs%1`TC@*Ts@DP!kPeboAK?R*%4XhBuNH<~ zvBZ*U%bMMw2LwJ#;)kJVv@6k6$ZS5yHg zT7{f`AA(g$?uIZSIVj73KPxGHga+cQbX=GqFdqt&g=b2x1;VTgdZgx5H&zd_Mq6mN zk`eZRvsuVzjL(y6vrJ!NbDUjpcM=u%3?vPM$A*6`0A5$$xiiikUdv8&7PAI~*+CK; zdNW4@B#`>&mcQaHZf)6WX{gANKuQJo{v1Ft&j`n9E`l(h8~UypxC41-o}LA{^oe2M z=8N?KXO8O<970B6gh%9`esUcETzz)Wg^0>BDvaH#yBa=h%Z*eqx5z+O$r23^VB%r` z(r&Igy>20NW_N$5Q>)X>m4wQn=!kr%SMmUPP}Zs9 zQ00r^AA1$|Ff+Q%Lt0PvQ8L>1Z!nQ{U{O6*z;1Imom2>8FQ5ZHB7_YzVZr0uC-#Y^ zUjZg!EBhkxWISyS0IGaWC&pGGZ0>xo@=nHw>VfJ7p$!sSbp{5jL1!O^^%k$|gaj?f zl(m6PrJT!_Hk5VR0e334DY*vuz{trmvT)TiEO*&3QV+KhwOS0l9xcB~c$ZvjT@0P+ z^ZtgPNhZ=kWnldrD9K|)LCuxV7B8Jks;uS@rS4eq1qAy}_viN=-7)JR262mMAP$0z znj)f-o;MHkOW(eb1{>AI5OF^*+^vLfD+16+T0Aj_6C2~X%WWxj{&lkqB54TS-B7mD zU_Ma%nvnwU=$s|M9S~l7A>!rEQ0M{oZKb4O+U?2f^reuXt@208t}tc295J0pkC+H` zkFGgL|E9aRQc6wYbM8Eh!OGilxR-?E2N!JZAy$@Y z!zquY=9=S7p(kwXs%l;2hko+J$Z_|B4y=sp%MIUbcz7WQZWrDDS!PH*7)f1U2Jz%g zCD$96czO>;wsv-!0vacnDii4za}caY82idH$9maRpr2TN6Nb9;X3YXlS!lTdZKSiW zxfm+ff7tJ)vlhy+Gq%I^5>O-gko&3#%O{e+Brap>0}YT02Zs7ZZn!Fq;vWK2%3C*0 z*vWz_jYX`v6$u?swbsEU2~_nhuV}jcJKa>RfkUaK#vPIZ1KLHsvGTtFk)rXAY?zVn zSFiwbfD|G$A9{dzT1W+8)ky7~8TGdI>Nx->IlV^{q^bb*u+z7m<3P>ELcK(TCDtNP z7Qi2jMbCiD@X&n=7_Ej!D+lL7l(euOR;R51XX^p1tqz-+x6Bi(ewpi;!XCGZz- z1fg4RtSrl%zY`DxX8}z)U0!H7{(g30cXwToE~0G_xFE(-uD*Joy|S`dvr-V&%`SyI zTQ3r)xrW{X5u#s*iIpbFjgy7?@HQPwQhMj0GV zgg$S;%uoQ;(aE~gR@9Vb5WTHf>NQL;n3^k7zMt?PO1D^n#nty$ zuKax&A_%x&mGOU8I;VVEZu1=qgVR_SI7c|4>`qz+Fds9p8 z`_Obu46eRQ;1`TSOS6@)l9O3aa@rw%i1cLmjzLfe5@qr+a~A-^=^Hqk4v-*PMbbic zIKWorhHomZKJ)+=w654$11o1C&rP2d`Y@vA+Po5hfjC|JJWy$vaZ&9dRP`NKV4TQ- zM5JVBM_6UW3oM0x(6QAquAB>&bF!GS`(e>9ZD`VZa*JvViLvq}mo)X5$^;4CK5!3!fr9AgngT zwDN=^IbCE9HV<-&?n61o)&gkTNR4PA7$IqTx>TYN%*;xU;tutboZv?#a36r$Nk zeVBCsJH;DC^J%G8gT=ghrL?vpxKb)rmjSO!*VUZ$y`D~)k@KoT)~=0`EIegkIgnL< z&-E^wte$yD9heV&y;-b>!c=|=kTh4r*j!0M{lc^1ABDWRJ#HWykpEz!L$SrI0)SaX62FC=Ce zRozpi?5fXyf(!q%!XWBr&d2HnpN__Y&t<3PVMR^89cSJn3n@aVEM^d~ST4e?rJ%3u zEX$G!Sl9+4jR=HLFrZPBHl7g5&P}lt_8SO;LZ+Q--7e+I)8*JL;yvy_=cE$-(a2`bR3dm zJJ+=lF`2JnSE0U1gQr?YU~v$1yC}yUt|+?n-dm;aYXS0^^A*j{vi-mX^3^;TIqDDs zMs%-eR^E2Ph^R~OD6za6<{jh>LOUeLeJ*!Ki7&!H81}A=qAp$l1xDU>Xc~n5UiIjd z*~>;L-B8WXhJ7HCHs=*x3<7JA5lzQhen{B2=hM`z1|OBWFVZS{*1Q#61+1e=h-`sX zhMBI$d*cnz0qt~0)T!-E5EyG!35hN21;vzS0bhSs85JjX%@Kj2o6*S301FJ9&5i>> zt)b$uFL(ZkYV{gxIe@Xce#K6YVQ22|YLg7%3R`y9%BY5}p)Zj8c&JuRuournYFW8( zIW@we!OyXICAOYw-<&Jz!B^P_d4G$ga}%t_Bh5Drd;zO{_RYgP`e;rDpt44_?Y@F- zxY}+~$xBcQ)upZ;AVwSlsfuMI8Wz+HoM2SDp)#Boa6__CYG)+XEd`{iyxe$!7YpG^ zLbV+876F1vTS^bjVkZRe4rMlgMk$jeBCY_JEK8yK$`?1q}tfAi!W8>(b#(gilMGe3_O0wPKF}Ce*tWbdo~f6#!Yy>)ypfXF~p{ioloy zSe{*jqkOl`D6G#`UaAd&LS)xOmi-(p%do9-wekq4yULfB&EE_iS%}eaZY@NeLQzld z$_!YXwS|^lCxKwKOU&GilnD?>Cr+z-4P23B7vE{+rk7p-;IN72s+0f>3Lm+B3*jJu z`<%Y|m-2}T1~5@2yE5jkhND;bY?p<&VJq`OY_OL3+%+f){ql}=I*vuCV6$53#O+cG zp}hH~jfBC>&&}An_t9GocLmsZR-us&3RncGNz9$J1Qk>nu5(P2f>jFgffUh<5}A)S3=uncgsXMJ&p#pCGqKtE`v_;eGPN{4s0UG zHyUn38r2-Y_0&o$yOyw5L`S@SwB7^ZVc%@$OXG}i!wRol8P|$3#YGtQ<9k^7>C4n% z8C5QNTZU=I2l{f*7nF0T0Hnzz-)&DrfB;PRsVT7yPu5^l>A&LeX`-X}VSJ&>WD>G) zTYogl&37KV8rjV9WAnG(Df$Jmp{{Q}7tb*|9w&#TX$)evGLdcV{3yj5hD;>)=r>Xo!yMj!~Vvz}C$sPXfmpkGIItqd+$X9)T!m#^CcR$yFg zV^{gvMmfqeL%)JAUfqs_(fA=hZbYK`S~1A<*P0tO zw}w<(!mqyTFXh~T&N;%kHT`Ruux8Y1JmG#h51*p_E7y#ZJt8ox$lX7!R{>!s-tfBv zW8D?tb`)L0gDVgiA4V`?DJ~n|V|<;`eUip-bgzqdRhrW~JyK9}+6-?g=J<^<%scOU6{l3iNBU-dUsk zA%Dy`!1w0H+ssRDP~3ztPeHhtbBLw=#LxxAWT{bRe4a5hnVRk((Exhr0Pn|8n^(gC zW5uqrG8G}Ql&g*#F;QW=TiC4&Vy<1FJW7dauLE@x->c+c8|pqbme*oCOe>G8 z;Q%XL^+(gltKj#CGHTo6V%cb$_wkuRS3)~jIqzoW#(jPSr)XA24KssDxhL;Y{0YAn zFt|oSyI~m&T2-M|i9nFG>gipNBj3ml)5o4E?thm(_{qu)__wc}@QY)a@NXzwdY(rr zi+lb6#H?YpU&kSKDUz?3+PZuQ%R;Wr>r)P=N7{CMy@g;7t>@XXO{xI%Y+|$t@ylUC zbMd{duB`=_pze%Z*c&#_+Ert-Xf;gZ78(_@N5Hoc_0rvpNbQ;)@b$L~>2ACcuP=y? z{E=9q=N<^l19wb&sb88vc44Shl{&G-U8ddZ4lBJrx9YCp8~|j&H_`#ODE>Ug3t3wF6?h{oX&Ql{3ENu#a+& zWP69EZcXS^_K4lT-lxB;d^gu5ckk1wE}Y%BshD*+QSLq5Z;Qy1wXYvrR0VGBpRQ1F zd0zN>YC@#6X8(|Na*)p3!s}i0Dx&YTH-S9jdGh&i*^ zZ@g`t=hR@genUC6l%>%nve{!s=WFz|K!|-&-Kx>C$_@DL&ri4i2%A4eIGak{uKA@+ zGyZ7~xskHq;R_E@uR?R0c&&h^w)vV>O*RxwH`{uTI2Vn-EJ1b; ztXA6oqb-k|2->1ol=kY&#WtS088i^B%f??Ds8I zL^86E>R`bQyJ_o_%7;V>MfS}bB(8t(Y^&Q}tfyKn zuY&e1tS;XEt}*VlvW>rKO^}NAw+&LuUS5-W@adu>uI*^{))(Y8mF(z{8-KwD|m%p@kXW ziTnRS3$ypm!R=xc(*J^J0eiWh;+8Dv%{NtezhDLLOeIn7(~NPR%4be>CzFHZZQP>a z+Pp8nw#5VegE1Ec%gDX`f-Q)XoME9AWHqmj^GO=;krDp(iDcI1@IMh6&xChHdZ@!{gCyg2?}$ zSLh}`WRi!GeTT@tK5Q2vhq$s0vP}=&mH2Bn0b(+r3!4m|1P(ci3PGHQ3{CnA2omz-|Jw8 z?ti36QgGtvNa%-Mk_0JqgXh`(<}?dSI%=Wg>`P>KC9?06X13SH!pa;`mADq&+*${{ z&@geqBtrxv;b(8XMCAnGD}~47{u>UC|7sru327V=u`#lZ6DLiO#z_&RI4H59q!7nL-z6b}gFcY9$hg=wfruzV8aqg23U;QDk@+I` zr6eQ~0l~OLWL%OYq8JML9uY@E&eDjo&@*;OqV1$GC7@??e9UO50+Bf&iseAZBq8r$ zN?}h9J!AfZjzmO1;87K!(?&%@&&Yw<1sx6?93(_U>`hd^zb=pof-WS%=p=Mj$jsSp zz&02AjF^mrJrQhHM6v|(0%r7KRP5nC9KEXaCzJSb+$bp^F>sbe8Yw#Rx^YcLc0<|i7{*}j3NM&Olf|GDt zxC;(Z;@|gBOR`}E1zmPlB>sC=RKE6X1)3FSj_qB_!BMBV<(A*@%(dl`9w*zldoC{I zeB!DiyztHzBi`eS51Q2<4%$=j)qdBT`h`4aw|dvTKNfzs(wTPSfcEzK`zu{%xGlC^ zf8bhS7BRwUHX$PWXHt|zlNDPYfZ^;N@8Ulbn2N2vHBS5&Fe84ti-<(I1eroaQU!s4 z?k$HR5-13a{|l#SmL%e}@KPl0*DaD{sd?%4Pj`wqh~PLkT|K$?6e0V=9NqyAkAIl! z>;%rKif_8totbxLS6d#;FUDC6@)W zZ@p=s-+NR)&9QxM_j2t`hUr{pY00@~}6cwT=2g9v8<;5Uw-tNGn?ZVa)sdE zY^~+E|OJ-8!a&iy(`tKrb=w-F5XiZ`#~SFbh^vEWt+l@!Zx zkR#*TRE`ImT({9#OIR65^xeO~_hH!mcMJBe3`kMACS|{RB33+zeo6b<1Bot&UDn3s z8q#OpcO6ga|9)G@&`xYCzj)I6!6B*n{6}a>{d@L5owDH>a(H~J$wjU09baX$JM&Hd z^J6DphSk{Yk*faIlz+K-A|SP`ZESMB@k#y5|DeNvpxTlM?)|F{Nk=H$^EYsHjqpzI z*%Tn|qIqu{bGnEbP@yCA%-~YS?G2&*M{hmY(4r;p7Ah8=TVGRln%H(XW0%9Z>?ir+ z$v2-~pI&2ZI9{~$ops6@HCiZo)3Pqq3sIJbeq7= zz03sVReaXvTkn&KjIOS04DN1ttrh#~?wa$9=IThVuW7IOaYs&bO9h=*vMP~Ox@PGr z<&CmqfpOKVSbD?{k}IoTtw=gOKY#ZW{?ME`tL#eWor*emJNa58-2RWQe`mD+ z2%P8y|1+oOn8oQOvESkNkDQ+4H%?DPAo48wvmsXIROHu3uuFT4C?gqJ+|AtH7RmoO zak?{dM%h2|iz2@NIqAPUDAKSA<;Nk9Kb7(Y>RHsfdi z-iiKC#>QrD|HbqFXZ-({(Bie!f(-9;J?QBkzxiR(f=EaU-Bp0M_K>>UB*xP z&x~Ihslw1oa2DG~uh~qWeg1D_{21V}u@1vVjM*be;1{MMR>RW5ENI2p9MT9yRY|N$ z-~dpI)OLR_6lT{6Dv~%v7OXE72^^9x{@!#pS>G!$dpYOl&r*pi?L}S^H#5OWpa>_v zSMq<_4541I*(@xa#j$_k{VZns>*j1ary{Xy)}om;&BhV=g)OiS_Ui>SbFmc(N{z$V zPjQK>(N1A&Pe5Gkcd8tbWgScaxYCL&_xyTU3Hhxlbfs+@k~Ys;+0w0OrZ^{p7)4BS zC(e>iKkFbPE^htvk(jN$#dZ#HWJ&ClqZ#tkRkPnZdy0xPH8DGbi~@Vujw~dh-P3Gs z_Mt!XwQZk_Bp#_(q$Q>B6aqzpthb%xmq;%5=2Q-(zQ=PQl|1~1EQFAdvXP4Wc@JHO zL;vAy;5`WnK?>2%Z}%jSLi>+<$YRFt_aw=P%l!7PBvOg}evg2<(%;%4AEf@gM?i|+ zzqgYhQ2v-79xsVUT=#GNA?*+#{Oul*f(FRn+Y!lszDpz^iw(cEBT>kI=!!r=79DagR)q{-ZxK`A_|kiGS!tf`b232U2*nrvJMfQWAg81<3<{%vlOujQaguX=E|% zw|is>6dV3N2BOkgveE5LXjbO-*bmuh(cH`tU&DzXwY5dV1H*{}HdF**elj!%x`{m< Tb4v*dvP#FXd9$*n3djEdUUc2L diff --git a/dev/_downloads/fd8f37f13aecb42027ed8c23548b8132/plotting-31_00.pdf b/dev/_downloads/fd8f37f13aecb42027ed8c23548b8132/plotting-31_00.pdf index c267af48197a9cd5449cfcc08cff8c065c0d3c67..187e69e87753edae345ff4359814a3d8e3b98d4c 100644 GIT binary patch literal 20520 zcmeIa2{@GN|37{@B}I`ssDvpeMKNO;L$+4ZricoW?CaPYdq_@4nNun%sg9(QMwS^e z_M{Chm>9cI7;DzC{GR8z?@{M;{-5)`zW?v<`d!!W`f)wiGxN;--1mEbzuxbe`&oZ* zr=Eh6qN>39M-8~trvgei0*-vrSwKq*hd=D^VTZ%-u=cTbB|G5o2dy3Kym89N03)1^ zj)0xJEjm#ByBqY#?mjpbYykeK;YnvZ8y_4Ayxm3d(Kq(7_OZjMf(r+&eSGY^+;K$o ztpMKG(c0F@-2tZtKlLKp7~A>a%#mex>LH}qQG9TC12=?(?eM$qFwl>A(%Wa}?%?ByQ-Uk%Ik_VI;_!N|h!A$#*^q7RP_n&! zyzH#q1SkplH($pnRCwO(>XHlCxHM<>;VbSzRfV6gA6nNN#tGXRo3&{D(%=7BP?*1I zOv6M}#HC!IBwgY3$+7Ye&E0z&H>t1;3&%Ny(;vto+_A!`30CNM6j@jM)^ul8^C(R> zVRmAgH98VCtUEiC9XdTURn=eU*5xp4{+OM5OL}^kN;OiX1%%KWrKhRn=8!Q?N})#K zr>d?(ZU-ZHI&*ARv+${Fv+h*aSd?7HSUK4zcxYx)H(1;1>IaIX)t47mvqNm!?9@m( zZRBPz@`lTeAUDTcwF>N0knVA*Uzt{;V%RpF-R~>yQ1WNT6#vU)M%yi2`S|fW8j`-7 z{^&ZvIPN>z!Z9NiZU0UfTBYrxc7etbJc>aZ={Wr()l) zNwOZA@q1nGUb0Znr)#rn&$Ej!+A5Dl7}qnN?6@0|`%F*%WrT~nU22OTHk<#zeWx|I zXZAfP=`<+YHQe*re2?F$Qywkx`=(ozyK`@C`xD+%o;d1!>Xf+mxeJFc3C6KJ&%f{O z>ucGqe2rVYK28aFeNyqs#XUnUmQ-e4V`CXcPsvC&qe(b#le+q)eVrj5QXRXIxs^~R z{5^E57=B~J8%;iHJ;-qkbd%ge)<(8{Sv6Xw0K$SI`PzPCSh zieLZI%Ld^CGTEhleTtpSB_8}L?9Qccm>Wl7(vz;9oEtZ>vSx1FW4i=#mpRrQlb7bb z1}jY!m5*+D?&)fO>y*dFYj37oy!AB=mn{2o0&wMdS;3blSW2j*f0ZBqSC3!OabA|j zAHDyi0>QFE*?Uc-fsCYS!LBt;Ist(9y86*MEluy%SkIeGJ%3a+K)IYOjPX>NEaeon zn;)BipRth9p_nXiV}q!81#S4xlbXGQHN{~z$|DiOrbE`k&OFx3n}h=odShbE_3*!` z|GGV$p9p2No>eMUZSiKknvsE&MOE|$^$kyfU@1&$Jd{JOM{x33|EnCyH3qWYx;av8 z&yOFkvcbDNK01! zs9UPu^fkTT4W0>C1hRY6lBf?#7s{7MnD436c{d0+ADF2h`aHTeH45_znoL%{?N?}O z9DN1951!!7z)BmJ#SKE3)rjj@I^pYdEC+!mua8+^VytdkfUH#ibKB*Y9n5)Q(H!vbrPF^CUt1F8NoX~V;>E*B)X9OGyw&Oia056 z3c5$Yq78bPafjie?n!;4VYh)PMfSKfQ;m9aKLYn1e#b8xa__M9@ZGjM3US^y_%kCg z5k#_km>%7ua;E{?DSk$I=W>9C$C(bPH8W*%T45KIUg>sNy-`*~S5-3YBYUZ|an#bo zG5oBAv%wx5Na!KP;a=G`%$2=b2e+8H`Kez9Q^$E)lIkw-__mR#(a9LXL^=^RJh~<3 zshu~mqvaqL4sPZ7hVhJe?0q1aXJ?3t*#4q6^cB$9yX*?`4Mw4onkU`Kmx3`%RSaT| z%7_Ol^|fN*MT2bfdd?9|&FXtYzCZ%MZXrkB$Y(VOiM=6 zen6X)R?Kwz{31xGg_XW@P2y7B4_lSajo;~DlDp%15xc3riIAEy3GLS|wX$Rrb zZm&KgFAq8xSI3#bO$2Wuxh{sjnTAr@m?Nsk$(#xt@`d8joK^Qbco*76xl2!(kb|e= z?f9KjZ<(B$m_qMnFPNpJ=D>I1CsGQJ>xCTtb>ABTQM<0u+>-$VwU|eTE63 ziP~71F^rL&>k+_764!iR3gq}Yv6b9;=wZ6Q(cs&}QCq9G6Y*PIZ+lr#f~&6w-|YdD z<#uZK&uP1saWZ9W5|Ea|q#x3MqQ4SEw#vXgqxrco?6Up4+?q20p%ys>bc<8!!=O$7#ZWV?38s+LJ*&62w!FlP+F_a|hE#GUXUq&;ddonw34IIYsTr;Xz4u+L*U77>3sjswvMM&FaQlXDXHB_c%3%i3< zAt+5tQ;oj@{pHIPnJWv|DfV?8C@6!IeerD?B#)+Dg0VuTL--;Hgu;)VieB@`q#6lx zHx|KLCVW)`t0q@@6@N_=-rQKQcj)$PhuZF-iTUNGzXzY|wYit>xyQ3Ld)XVE-e@o2 z){0$`(fN}+x5noN^HLo}VL@iUUqU2U{+4u+<8sLIEe5_+CkEQgfZ0;}y)AwqJSI42 z%0vJyNj2=L=ZtTF*>#NN|9F$%_5&L7$M#r$|WA-W4{^}n4 z?uB^lv17>iK`#z!x>;Q6374nVKj&uvm?PXkXL&aLQvY(9kkI`XoA4?b3;KV$h^$oKrg2$9c2Gz4f_>aMZ#k8Zs!kL~ z_J{PUnc#hrY6mqGnWiCi%kP6UuHI3vvvUh{UCE5z?#;Z+=5~3`Y*;L%S3f}(Skt@x zk|lW(Nh+PZ3~ms2r^&=M7SM)(LX5_S=IG1M9)!`;t97Pc|A3!{JTw7r?YG5`=LgMM zK!SAg$vClLFjcng@Eq1Dbo&hO=tLNIw0@xu(GQ?7=7s4w)LOMP{o71w^D>1sSJ#8U zV*KUH+$a}K{O)(WnC>fMhTAmR2Npx|jaBDKHn&3U4%Jt+XGxxg zu`-uaQE+Ae2K64vz6CG@Sy*weMjsb^4Hz1}KH?O*hKGi#FWr>;0%seo-{b5TeiN8| z`;@n^a@f+++)o=G<(F(p(6JYgNcly)kLDIZ8WCFhOYCpb*DE#YuA$4sVXhyRPYa(= z!9b<(abdUKk6r);2vS*|Gsk)hMz1YIQI^6qb3R@7Tr_}L<#cvREtDln2{0!avz_q)x5Y+QPs(s77twN0av zZq9r<=pO%!`!=ZQQ~f3th)Eb)LYk`2p+1~yNT!-Uy@0CLRnvR}HHDNruGII?Oe<3h zMBGDQ>P#lO3$6o>D#a8Fot{Jd_x&^DZo@k)Q<<)-VjP8HenlPq?9DZwx5=hkZyzYC zX>{aQ=f=yqCKw^vTrhrKVPfHkDE2UQp_%c!`9>m4+UxsY<)b`5Tr2cWqH3o z+$b(8(O^0}?)^jUAtfma?uh>aUEPnjzg!(CnxFg1dpKL_%~g((w2rWL>?9xFoa6Uy z+8O5aV;{R;FZO~T7RT!g)>HuiqWNSp=>4IV4YIBd-F@n@LQD!Rs%IcPSOX! z?F+0#FY>`rQpHCM?{dyr15TLvuh((bXH@N|x*Jm5bA4FNSQ`j2Osr6JCN*cKwY7x(;xZv4(4z8W`2a zHH);5G6}Vi3X~lYOmu1Pb#Z_qN$XlN#ySHSq3v>_TU#ZJ19tnD%6brhc*$}^Zp_6& zC|;7eHKv3kch+n1{R$;l`lJUNcArK;lz zs$9FfOD)BhLCLXSq~|UN=2uV{V{=^cSYbIv;$9sgiq;OecAO>W`Yz}_(y7b6Gk5$M zEERw%w>*(EWeSxW?4lh!0KG>m?d+SfkaOA$ZYX^3Ctw<*OiNbBZx2=3cNeI zI;W2pohx4t)K3#Tprtqglvdzw)v8=q225$NuPuuaBqfBzPd>}z2_7bWC*{L-%ZX63 zJxlmpAB zi=VfiKjXdhuKa}-8OiyIg^K{EhN+iTiXBNXj+w1y?pp`B=+@ZOyH*E`s_MU5>1-$i z1Z`z^lko5lAn5Ujy;;$Rfo~!)DwVN9k#-!@e!(kEYx<&AAl#ak#j&w)MOy!ALkhJ6 zdPK+KBrfu;Wx7RuA8cjzc|Q(2oGcP_ z{!(iU&s=66Pn?SE<7LqO-;4Pyf1|KWUg2lj zq#<+9hz9Dh7Fy)yO3?s#GvA$$kf9?xU{PWKL%OA^{yYJ5cYuxp%qLMh?IT>XnJ6m;J1_K z)M>@4TT0MiTvajbEY!#m_yQwcxqqQh-tRC@6EDo`I)V+Owj@>C#_6FnA~}l5ys@kG zWg!eIFE=h3k%gLls%Nc5z%SFH10#;5Goe`qvPDJT-m-h`?U?4mOl8u`zgs5#!XiE zh9lD6f@k(b7bUe7Szvbm^1@h+xxijFSL^-0hvH0k_KVT`hA><(w;K?SQQ_h?+3{_c zcSC*9De)wIC~KBk%aeIfBu-bZ3sLq#)iUqVOR746DN&mDmU3#bc+u6_74_wGWCM(J z!~WU=x^Yk;X`L5!r{|$Z0vYAT*R&uPq`QtS zEsvvNAWM^LB}T%DlY)U{K_<90mZQ;Yormsf9W7jf3(mwz z(ULJ-dbssrMLU)!CYX&IN9DmHGUHBf(u;n9(&Iif;S6kk(}88!i7Dw5tuoL!IU7YE z*F%PNEzNc4wltnx_EZrnBO%9bxoj^#m^EyA`OkZ=1@^3!)@fpas{|8|95p_m#KK~_ z{=h|2!nr-b3jIUGpOmPW!f-Y$#orVUaeywZqJAC(H%Q{>wrlhZ9i*TrkD?(&+0_Qa zONx#wQK8*p{)0WTgCC%7Q>iv(pqZJTL>=;X<(gei}EAyxO3 zT}fLos$|CH3y708Y0Y%9UM=K&zJ{7+%q)L?AvQKx37M?*Nnd}LZT?}8|d*!bL* zZELVa^ark+M;y|Dw^W(Gl$09ap^&Rv>IL4IdI6(fC3@9<1T3#rsVllfVI5|vh(@@s z5uR~iVtj5NLH;H*EgJuUSr7ypm^9^jYfWe9zxu_=9z4I8E?o!cO}s&6g*+NrI~UTr z1Y``Mu9#}7@-Oeq_`z3Dq{JV=IZl@LFM6j2o z`+Hn^Y@$XYEu@ahW(y`Vh$HiiA;2P+=O%~pz#TK~K;4-TfQnKsu~RIth>lcTY+YAv z04Kt!O**c+5L)!78jqHawhv+e`BX}86z_&3DZLvC%R%}p&odUAmcn43)y<4sUT|Ub zHH2*9(rjeRloS=Kw7Mz><#^E{@s$wO6NVkDo|POvI8l|$gN zQtYVyD-gbjHzfq7l!IZs&fP$nFo5yv*v*Wk0oG9ElLe(Yzrg4job|I|9XI zjyi^iCjMo|-k+dhB(j)-Um?t9rky;NAOWLEgI-vj4fH9)C1gf021H1GsfX2y@B7E; zUpE*D?@A(V9KivQ&@>d);mDI(^s2NyzCB|gS~|NG4U-{JzP7#hf#puMl+(pj>aX8C z-ZNNOgd!&&%Z+tw(|PswfifY>6JY8PDZaD8Co5stDUi3%3{L9yfu{@@?Tmlqw4X3AYHewG{R zUT=5~RO&1GS}gCUTsSOXWWIw2HUVPna&-r+>;bzv^+J0Kl|dQRWcsAnI%;YXmLIF0 zOTw;!Rau7L;AU9WaPy9;72kOafK=+y+L&xuZWsJ+XH5bTw}JA=sLnn`bOM7sLD{eB zuiS;z9nJoj=9{xXD1*UVOT3G4B=8F>$xOeE@-SDT?^pdePD#fbg9iIjzM2DGYSqiHuqg>x-lmAyPGFYl$~# zW#{ShD@njoX@O~eBlDnEWRew%WqEZubJEfJ2?4Y~;>;%J6&gZGRz<&?pLkXTh|khg z+AT6q8sfKk#DO(2FtQs4(!JwXfntT$6_ulYA85t9f+sN5@1dx?NydxTN3q~-S#AeMq@tBNd##iPj zOF-*#F-ek?b>{;8N(D1)%6TPskmZun{to~=ww0UJI!5r#f+k3a{GC6;!BiCK2X)6% zU@=XzyFiyr3;+p(xhA{FSP8nFw)DXVrM$F#-N|}o9OQP>Qp>kI(B01Do^DRTpkr0V zhwgik*9~EdsivRrn|!UzGBS;z8=>2(2zAiu`8snL*n){}jo$6$o=cQcn9*x3jI z*_Yj``t*5u%*XOxo&Fy%$ml=d*D43W1Zjc<)c?*amE&~O%tc^NZK^>_#j7CS~!OvB=iOS9i`F7p-NcwdYW1M6PSRfrtW{tj)EkPDJ-RYf+%pp zjP1DBPh$(@_ppTJbuMtmCgl5(J$HbBqf^{`tHpAX$0)rh3hcHkVjqA4cGJ9cJUbS~ zm0;iMwj@hnbSZ~Vyhy-M^R5=N+MwlGff(jkAe~M2Ak87E-Aj2dA|m zr&nr2OK}pdG0l;HAjyo6k5>zX-zv;nLRNsGw<`5Mz4VPBSiDO~D91+zGBRdlJ?x3) znFdPQWuL84iB&QccLR#O`&LywhE~eB9vC%z0h$2oy}`k?J#8O#>wPoa&`s~ZVOv0&Z9+wtl38$+wxaNcVz=0RQ z8W8g-YJLYBDkg?5DZ4@6%w4BxB#V;$86)uH${nUvK?3hNw-Nd`}Qdh+iUw2 z2f9-tyFy@SN=>X))Pk<#AHe!h60sb}wy?)ZsTOPhts5{4SfCfYyps6GL)GxY8&0hU zKS6vx^+b*ZMAL6?7B~-fz=DV$>em-T7s97r^D8P@2vKcCRyr*w-W+$>Y=LE37A1Tb zYcVu13tXJ6*TlloTuGs!9R#=qRux$T&v?Zu{koINqbsmxXz)u21@T{p2Ve<6(=m&G4FH))(8#;C$XMt??7WL&S3Q8wQdYS|ly$(+ zN7e3FIw}s)!hhV+hO}q$Lwg#8Ia4y zyOYXv{{$-0Jzy8&?1?wE6Pb@WK4$PxQv_a{?TJ-+T)Fi;ppIAROZ;*FSWO-IsnP0C>d+yUi^OlP9$$wOI^b3h{u|G=1Q00_0+_ zj}iIc33S_OI>o7**FI#Fx$Fd*jb?Bf$>zOP9WX+X1(T$qL}(%A>`@-1ok8ZRVE{ue zm~@kvvf!bH5Oazg>~Kz?D;gY~Tamy5tsSIc$&i!|u>_5<8!4v>74|8e0_NVto@ZDI zh0D17kaG*R`hwEVX1S$bPX#(KPFrQ#5BmU?tXHxg7DE8r1fBORYWIc;c`cutmj3A+ zxW!P~uMFY_>D>07pW&Du`CN{NRSPhH_ow2`T0uX8k}Xl3Dgp}|j&HAjgwO&A%FgoT zjKB_Z)3E=t(>o%d?{K>r+AaJ40PA^k-`?c)^Pfq)@z?+nz@tm-C5&1ilPdkFwQ4$O zi7ggpuE@`HlL3vWCf4@dU3w=&H&V;d@7_{sNt6Iy%OxhEwS(7kagn>5wqwT)u;2&( zFT!{t6dlXZ+Z%mpuDhSkaUtGaT3Z1swuW)aDR#+}C@6<$UTjzD5?%_*SJ3(mq8;aW=Ac=Oo-ajA7UQp2w`B*Y!lgK z1O}i+`at(}7=TRJCHK{#%~4I<0*frxLS~)KDf4$>q7n&0M%n1XQ6KUe#N30Ri*>uT zK9AxBPe!DKG+Y~TcK09{%c>AUa#TUuKs+px^$V1a?kES%2V*v&eH)Q6lu=&1BMTns z_$EP%?YtTUQ7d1}Uf7I4#2F4-waBc~1MOR|Xyo2tnaUQc;z(f?t5pr1@Ed6A$c#Uv zN3Q(>#CBthrB=T%;yr8*j}6~lIETyGN(;5{yw1@hXZ8Y{GB~XJ-HELWpuN>U7b3rb zR!u$R@m3AH-o>wrmoUvv%a`%+a77T1hju_lzud~M)w@kr7wcD6#M}U-De^V;xvYM_ z^_~DH-+Fbje<2S|UpyOpz5?cWGcl(Kx-%FQm!zgCejZjURZfge7eTr1o@kot_N3|< zY^X^Tr1HM}UAP(Pz@tsV26dVq+r2z~5`%79(jDpT^B`KFg&fg*b{XRBq54UW4N%>*;j1yd11nWJH-v*i&WRo43N3heM2vX9v9fL40AR zZD-pbK}tQW?fb=s(enzWq3S zRly=xLp@`ktoS%mh#ayx4=`2gTd|N>MbH}TXOAhHb7lOss*&#{f_&@hV|m3xjg5T`Orb|Q#W!}6-(u`w{G24~0KZi3&OXaD+MrzPNH$3=Ui z{1*Q-385R0;Hb1tdn-ERrK!n;KH3oriq<1>ZsGgEw<`JrHFko92gK2@cV1uM=9P=N z+Z~s3LVmna;OxqA+zW}%zIWz`8%(KGwG*E5P;uoCpERntW&qcubzL}n{15O;0hw|2 z$YK)!e+LgA5JySL)C!-^F7e76622)A7}Mcpia0Ycyu^U6bB!;^%kWsNND z#JukK+}><@C8$sPX&h=Mo17|+L-oV6BB7NZW2Vlq(MJ!jHd&_^j zygba@nZSGxzQu0M%CG$Jav=+8(-Dzoo}t_8TPFdn3uyV0gA=7!};Iwt>O|u^+CXlEQLEY&d-Kloz*{RG4!_X;~Zs>GdXvlOon^urt*iH`A zIaL!7n#xM)8+)2!5JYyY@>)|A23Y)I@M5U?Pt z#B3OxtiE8;@5Gpl)0bL#jrF!IMBnn(q(l`x#y`~G_Ugq>hVP7HE;HI&v2;=}SbD%W zWW+EuaO&-J&Fo|k&1!aA2)lW9<%E{dbmvo zs$K7|y4>8{ITJFoxA66_(X8)OS##%Xgu*nJG&$4T&Uo4+-8DvfqIQ`x%-F;D+8?Ix zObg%-nccidt2P%WFqM8YRM^5hWJq#+I&-7PqmfJDTQjfV%c`#SejMde&8o;2uAR-C z0F~LsKowoXjIRBh+9v*d4p%pK-E4Q^Obs>E+mdp(ezd7C)MoT*##xyQ@-xLU6Fm;0 zTMB0SrkZIgul}|_iaZlU&TktZ({V^^uG0yq(UMp@ixg} z8^zG8=D6c?*U+7Df8Q*oNfr4oN+s`>wrvw z%+8;`s;;?TydmIrPmyuQbLvjMnrCvAP4`~xa{v7#i>hbRwpMLv*#))xAJ6#Wx{Pu* zBxy)G-v~Nz-O~2K4OQC4lxmt|xkhc*|Rq4ONo08Bo!lDI%mQSR&{_N^Hm6-77 zrl47}aJhlNGskUtEv2{GyIbT^uK&{c^zi|i*oCGm92sX!Z~MyKQFr|ENM@Ov zd3B!j*QW>CF77S6^iaEc^4@P9eQ!7EF`VX66E*7cw%>?&O2e1vQ-+-c`+ui0xrZ z?YH*va>8~xDiR3jeo5qi?iIS*5h3y*vH=s>;D~L<6u|FtNA@eC+cUpy3!S@!-|1v; zZ-;EIM0Zn~BMT|x@b<{IM?~BHU~4A+h?A|4BQhJ<8v1STD8}fI0{u=D7`^|_x2v@S zvNux=u=gJ&fWvR|wm~<7YA9>q@aRhD8wF(*HFT$|$8I|(2S*=NLq~Zpk!_~P23RMX zZSD@Pc8I9(#y)m#rs#|P))b60gfSxF`#q>ApTOJI2n5{!z#;J8okK-Q9jA)u7}?K? zQ&&;Psi~+5XduLr)Co9c5)r4OLBI|oLMQq;I$lLh37l0(==lG12=G2vLB^s7ItT9{ zsvx#UKn0+#iX6y98tOO_33;!gj3Xk8lhA{xj8oPi3Lpngji`nr5|K&NRB$9!WUM+u z00DW8p3%=$kOSG^OG55P=hRTwK+fPAdd8ShAqk*oln9h5^iV?#551R&Fb?KG#v(@*rAM$Q^SOS zp3(I&rJ({uXg~xjfUZeI?!kn@BMv=d_JgjZioPMBB0|YVSwqjrf$0TZ4jckRghlL5 zRKDL{AOwObl)>smlq!UBo*D4e#XBP^6W|eoQKd>!LT&(hMD5@&q@p}w#)KFYde_`6 zC{YB00QMQ2KtoLfaY%5Wh5&2;wS&JNn5+@IKyBi?1G5LzCU^&CE6^rTd-(o9>B8P4 zbD*}tJ5bKm2&a3zMjZ>c8jET^EW)ig1e-%pTsh zSU{lOP&PJdboRnB<)9N?LVaiW1nK^I(tKBBEk%#=@3Cn(NZp#>>ZS0qflt_DLumcm z!wFYEoN~HoU?SIWce($pkb~?W_x<15+#D0M;mTkr0NIlvPyFP4XOB zmca@B8hv7$txC@OpG1cRg8qTl?-Mu=mLNglU)R$%)DS`-7kgSD1b5o^D7`6m-RD1M zLeoCqmRulmoAM$f$%aozDa@dJ&AGTN=_%Cr?oa#1md_s1u90cz(ye6TR^^t?LgPrs@1D!+2_-vFyP?(gH)r zeM?jl?(S{5@}WgLWbuPG~Ld25q!U3y33tp9K~U9GY_Mm2Kx+Q^4D?p7|?w*35K zy$fnyzi^ZBRG+gZ7w#+ddMmhDRqa=IdE0yR(a@*MQpY_NH;CgOt@%2lHedXZ)1#rS zyNjmXg-5(IVw)*@yDG&#vwcJ6svSJ%YUe5(`Yzx{&@ z{{fjRBXRFvWk@`vAvAyOlHM`VnXSK`$5Rad+*mPFSaJTHsZ_DW*{sWJuMHW+-e22c ztP^leG2v+g>y5K&*VQZq@6$PSCO+*_(K-9yB8r{jbLL&wnzw`X?*5@2;!GLn(;0d`(wB>&^^KBtf~ivE#DtNac5gXgAvL;jc;{+c!ZRs?;A z{C|)NB5(}xt0@1M~;E6<^Q6!rg~Mf}A7jQG`&Dh#azzeD@zYaY_)o&U!WKNfI#u?~xk z7_v9|KBgjCL&5*|p%p`O$R#wYDq~fG00^~6ZTHtg;rlv4PZ@{sg3YC;ghSHBUx$7V z*0(8r-_DtPJ{Nw+HsmI}jWtdQjd1vF%Kx9k5aA{ddUp+r{tUoSu@x zcTF=lCwE`uQDdMF_U#5VbMXWTN)7N#GW=dATdem4*u@^$<%_g+Fa}^_7HRi929p5gWV zT^_dfxRcg4F32iy205gWgih~7cHfCU?`-4FEy@I>UQt&@>Q7}=qK28Az&DmCUUv2Z zNPSNbKq`6ohcrTnNZDwQo4bbg;m|*vJG`c(p@uT_w`(dIKaNvX`EeW(@%6voOC~~9Ze1m$g8YGBHD#pD{P%H){C~Knin`@r=Tlc!{b4?J!jJMJsr?`qC8VABgZ$K# z)qkK_O;z>BacZca{*@M_Px6CINoWuEZ{tX4L+WqWG}MsB*xWTAFKZ`PJ1^{se#TA# vc8IOv@J3`Z>K<5}FmSg=A`Ef|c$A&DkF}Q%W|m4C>Z$~R_3L*T>IwWWLJm8T literal 20588 zcmeIa2{={V`#1imG!PO}G8{>g=^UKnn2RErGK4Y|l2E2&jHn198YM(ZhD>=>$dDn_ zqZ~!3WGqKfNJ7ZF_g-sDJI+ zYe|u$lb%N+6?O zS!7HO+a7dsbtF*Wubyu9CJtT%OJvyXTF6u!{JaPB*>gtAkBcV+fDg*r)*Pfn(tE1Op0tt?&<#Ys*mms5c1X03v2Ya`J4(POL zUY-uNM_K%m%CG6>OE!31V=&BzQsoc44O9=i;l$Y#z1o)J2*;9yv>ltBc86}9>?-|} zo^?BdhlexNHnH;kr`fk}yFR|PzIOTQ<;$bZGC|XBb6*p?e$2`Q{}>ng(euWTZuoF& ztY~sPd@Q9a_;kK{(%j6n`ONqCQ}p47r^hnJbMLxGk3CnP^Sh+0`g+QwSZFrZtt)8a zQ^rHZlrN02iJ&Q|&-J=(h3vHlP8~! zc2l%jHD(QtGB1^_KRw22$3~)!E01$G$f{Er78jNWX53%2_-bEO?$`5Nx4W`(E4TLh zjT{l>Neu!&RKMTZr}AyA z%aMEQ)*0LUrekV{jH)!Xb&s+PE0fvQ)^qc^Y7faRB|bDUERY-vX~-e7uf&HJsk<7A zi!vdSexAno==)JT&LPNM{1z|gB$$3kKvV(Cxbi)owU7CE1+@pt?ZiG@I~M71RVc|Z z*?I{su%Kq0!38ZKFoV;0kgH|5#YD1UraRDwRB$oP2&l!(F$z~p2%SUpfSArrOcTot zdUncPe)@8_We*G+AU}Mj#xxaQg^0%b--h`u}*+gcX~;s zd;*lbkMl47Ge!GZ0Jw|dJZtAYMa$U%_mpLHMNM5?3)LSUj}CEHjZT8Ox+=z;@y~DK zKEOv-@rpZdtEGD@ovAOrw|a`IeooNeG7D&EFoL8#FOmH>mO_~=0F%<%k^W{>N+#(4$0$`V);B{-4nJ?N4hVDwHVDnUwy-A zzlFKN5h`blTgmySJi7Wvum5zHyMD=S#owVPOfN6A?FK%=;aXT}6|q#GDcz`MM?I%q zJh3!;cl{m7(Gc24KZiYVW{yScGU5QL1p|Z5+DptUXKd$jnYdou5wAHlhMpV-xbzF# ztDy;Dq3*sydzWKd=!9TrRyG=a?xiic!n6m(D3yF+^r-|p7RRIkRqL)0kbag0ouQ3gU>h6otA3HMRy_$PGz4n?e8kac zZ&3W#4a}EDy9N2!ji8TO#hhEsZp01ZNTd5wGHSx+B~D)+q6P=QFY>-~DgWBx77~ibeY)|BaXgL;q}GMv zF|i|-`dZKZAnq=YOAd5O$TP=lv2mzQ`KCv;#J_WqDARv9&38 z%%GC0$Cld*^;^L}EG^utB!&BmzA{AC$+KE5oUD9GNH(*HVq!`mpHc=*-Sbn*8t#2%H zUNg~`Zts4GMKvUnJyLXEQJ?{m#i+_z-k*Nbl_Z7)Vl=E-`KfA)) zq^Y&m$@*mL7%7TH@R-lxo>K)&a~bw)c&zRUDb}%R87 zYc@|Y9EVC+@q8Df{Z~oN178@hTq-|pg<(=iIxdY+8D8!51l{^QiPhk46+>$j< zm&=CZKh1mY*m-9TcP2|HM{)!A&uFF?G9S%6)0$)@-Wg0Ywc};-q{S)sIY@f}Iu{lnjbfg+{uisK`Vvh227in??PM}nrD@A!AmSVJz zsMZ9gLBNanu5AN@s7#uCG@Q4>cbku~iThJUEW*B}mOd4-QZR#DHSfzZ-W(Y7lGOM7 z;8XtqRcHO4Ln|JSW;D}*30%SajBN_3UrvD$8yQsA&q83ve(uWCPu&yGLLc$Htga#o z;+9o$(CwM3`|Cgy@-v?bkr;(tcY6Qm-Z!5=GFpZBWAXu~w*JV`zhRFvA2CK;uuONB zXS5CE29KT!-PzNN_TPs~lB@T+#mzwAtm@+zuZf0Edb(bEJlyvI6vud1$OZ}=^Rv{_ z_F4@{gJ@U2OAsxL0IC>ShbnFC@n)or?M*tM*|HenK<8Oo=1Sio-8gYEl`H%=A0w+J z&F#i3s&X4yvS(Kw(cQkOaFtp>t-deYkj3^b%^fPA{|a8`(&yZMPqNuyvLb|6dM96d zL4;|#a9}zgtDxK#AIS}uom?x5ww@vPS!Nw*`%_Q3=iav!V*yLCUzQ7%zl-i##iP9D z{9p14UCK9>__uGyI`d;wwfkTofc+3U9FTCQ^+Ak4)J}(l#1xLPq)CNx6MBIpxvJEH z&>GlUAjNt0sm7%Ay5$YeR)U$81#MZjNyUI?XkVO@SYR86p5GSp0(;IZJU*SjjBJ~|Se8DF)!=+c6a8+P>@jIZ|h_XS+rreX%hpD{VIYP}!0KQz|J zu`*;&ZOo1|*=Nrf(#r9R?~kzfNHyH$vgsROGJFGcwp=LS;Vu=6J(x6BDxdW&x?jIm z{<^YZWc7mv;i|`PD$_ML%C6`sT`fFx(CGjebJQf(y;nIKsJV2run*N6yMI-M1XuNv zn3F((8HWBEhaGq@nW;r_quH7EmK$WRo*toGpoV{d5;qnqNQ|=p^CkP1S0@;Ng8?njd*^v#{_*-Z!hll;^_E zJiSQ?0^wFqogx5*Yp0qwyT>1SwisGUJ8a{!z(kgJkvXDTB(NEl_|I{x<+SS>-ErBQ zer?2h_RbSiW{8&65!U#4fr0rU%lkI5mBu-|UJ;!2e{oq5DthSVwa?GKG1Zpc;H7-jVT$nX|&(29bAced+q>qsVv(y zKf222FK3Qlw}H~?aJFWwgX-lqepI3a(5+yY;v7kRk_*L6+h8Ns29cVV9ig8BVb8F( zBK4dz0@V6*{AC0tUk`000WGX z9PgR0rT|-NCXWV_~*s9kIRXNhABlR=tH@6B;YHx-oYUm~N{5 z^!oMe++@r*%a(flWp>?ZmH+l_0}+M2iwp!3+0Q@TsF0%l)H~AcG{Do9ghyn57z`#T zch=qqP>y2U8C2};`f6ZZ|7XjRE30Z{g$3TMKL12AbfR5M`o|0Cn!PNI^>C1!{`Q!LPg7LmFiZK4hFkTSJo&j5t7 z%J73&KaRXe4DfB6?(ZT&1gy1C(!%2Ald}!dOjkWdvTY6j)KlysuOW5awnsfRY~;K> zH(N3mHWCus#%%Nb-s(cjHkc$CL(O(-KW=~10)@CgsOeKywH>r-c$FNLcM66bLmhp; zJ0Mb(_^WGVaka&|fEem3-WQmSA%m~lQb@r3^8kdO!K+WLnW)&FedX2$Ih-7(%mEi1 z{#xOdWoV_I2j{qVSDkkP5Ztvwf&R+(=?MsBLwoM|pjZEt=OI5IW`1d_>hsk}emy!> zc?Yk0R?`o$MK!F4BVKCpFxU&-txsBMorj<{5QQGIe2owhs!m${46BJZ2o)-y_%5x; zZwI->Pv=(8YEL{JIA7|Oz~ij{l{9Vzb|)b4XMa0KJ!}-Vo}-bs9brJR@j1PV^sNnq zioymS35o`cvg+Xy_Z(8q;qW=$y|4E}ugouXb`Wgu-U2!nxY@U79UPv%`{Ln#=of)* zZCvX+uUrS%B6D~MzQpvZF*0?%n`l*kfBQk%hG!FvsspL(m`m#%#4ETUm*X4jXd91ZDt6KJjSWL z+IlMpyfU<2!E1QNXRKXe?hk-iGBriiE-NrfO}5|bd`frS3YnuHLHaE#IyLPBs6@$B zXO~!S|FtbZUWQ_w+lD<@&SC3OJtXn6)hp;rYZS${ZLqz3&Z>IO&7)@H(&h*M2h!-}0#?VE*HUwzka-`2s+`%oT) ztNVp>A<%XCsVU(SH&4ZTGDXd zd42JS9%$x5w>Z%W$G6v$-0TV!?rlE#Xv=e878{c-)USBjdTievm=Cp5WIZCsGw>EF z_ycEAjS+~q?m~-QEch^Mm-u(xQfIXpXa>5wa4NpH31mP&x++=44ur#wK>pN2W$9VF zG2&Mee&XU5rTd~AF793Kc9W+=Y6qUnIjbvT`4DuYj4HWLus;fSq9Us|k1pPam~hl* z%3lk$?Z;8-bGS-Zj^!K1!VIIQCvh5-tg32NmkGUNbZ0@-HGP=2`d53r1g1w|z-HG9 z!p^g2%^u0b9aa1g_##oNO|fGVf9ouL7Fz z5bW}aZTJSrznYT+qTQc%!Dco-M$H=%0+=!Wl%L9Gwe=> z4>q^pXi;O4K46OZJwiCD3^S>|X@C=nCU-s9q`?C{gjOe@u*X?>`^L*1)ZxFiTeAG z^OAXrMj#A76!sp!0qnKBYlr@5=5xrgM#T?DT1vXKUz9X4n9OtBcSm$Lh;PW3$XnOo zn1Mn0j*%JM00?w}40rj%eA@+$Ry`Puk2JavsUN=c;02)>{<`4X@zplbEI(K!kqB3j z9p5U6(^=$8wfh?ws;5iYT`J&eSmpDUbhdOkQ!GTx9MM@kblwiS%eq4+b!{L|O7`I~ z83=P~p`p1+O1x_OeT)#VsrF@R7N0W!>njC%=?U>h<19dot`=-MvT_ex323COdw3BC zzYkNh)kr2>pBZb^-_*JZiV2Pil*m?VERZ!k8_cubw=DTF3|_I;raEa`;JPNq&_u~Sl1#VH%Md--}~tQoSdAqJA*40y1NsxVydn0BIz9VpZ-wcE~e zF<2qexi1cgWn#CNOtmxXd2ncfwNU=ON5~EMLOn=Ou)PwDQZm)CL$4tIGGzPbXjS*O zV!4v7N2Jka6lbHoBz{tg$kD?+JVTa9-JvY$xb%=c$TGrZMNAW)2C#)ziATpRJyyL7 zSpX3$mRae^0}ARFE7Eh_6sEFfX@}R{$8LZz8OOt!f}Bi&rYj~?bNtc(=NAr)QF(`~ zfdIURp9N~1(%H#_(Rp>tc*=-G7F+>drB!}2z-)kK7W;ilf>JEsHa1-1vauAnVU1Tu z)_QKxhT{(+<0}P`fo;m_w$#l)a0~fg;o&(3;o!!oQBz7bhOO>iP)b&Vc<9tVEU+H( zE`?$3c-7^wJa8qRwNV(la9M_U<3X@~a8-%fz0bM5bql5zKQ)gUGmx*?dU6eOcNqyQbR z^~V8tLyOkkF*^w>Hf`owcMQ3!PX+AcxiSOje~Etwv!0ki4ved6rAz#tXkeg3kf0@L3K(eE$g8DslVIsc z8@tOIPidbq0+iV@f{A0#S!}togx;=u-jf+b1SE8Qs7$>B)(CBUk2V&U>Gf1l*oEd>;=-emmXP*EEcTDkPJb;LZ z6?qnB?|%ANj6>E6R}z_2wj0(!^-MaJf&|{*PctV;tx#76@h{&|frGIXCjj4fa;{ea zP~nxaH7D^b-VPRu`J|fu2H-=+l(}$#DH&HhlKbg$1Y+vkk}qM1E@MZlCdHShgv$*<_Q3 z=i?+2UcE?2ykcEyDo6s@>TDcNne+kSTR1T8#4QuN<}1jUAVjRetBdsB7=6g`Vo4t5 z4J!=bp>3D=I^*YyGW1T#ida13`1ZUwHPHYUF0T|C4rFIQJga@n zYtev}KxA=8;VF7?4ZLKttw;3ppJ}t`?B!mlbW+hp;B%*7LPgn+I55p7raI&efo6b>-&XWMQ1x zuJX`89&lkRiRL^@C3j*fEJX3j#5ZS|i+UfzZt06f+pW5%Wnx zc+w1F-~SD>o-(_=JY2nug;WDoEc4-M-MFgZ36zK+T{gr2on4<9egt&w;=-d@SAX_)aKu zX|fadH(x-Sivyjn+L>DdZmWJvFMK%;A8Cik#3MlcCH}LQWNQ^gp~!{QUidIXb8@F* z-x_9o!GUC^7=>(De#?^TeQgS@JVE;-x*76Z*UngC`Vki%P#alN5(i4^NTH(kq&>Vr zL8$bSQ}y&}Xkv587uhCngg0b`cDH))+*~Ska;L~r4Tj>znlnmx?YGqD!=v|opu*K@ zyvnx`a;U)mRu4HKr@Bd(i2WqXZL~8 z%j$$F?6^@L?>Tbd2A<=BQ`$Ya4nQ|r-x9&q0m;sA-^}$JKSNiSm|n+AO;8!p9inFE z83S38$0{3+gMtL|ylY~GomVC-IN#f}4=+9yonP!TgCnQm4EGc}OvL_g5o@8e5q(@$ z_WqK)mNgFi=rGzF+$J%!C0l%m&jG-c8ijDQYfi==?|uqOy$OjEBDELXt)pO;<5$Wf zK8Lw~vo-g6@R>GNFnBd`4=>QM&G#hg5G>#Lr7#qN5vGP08(Z#1nIr%wPN_f0ogokD z@kAlxG+xJ)R{KU#_vjVZ2ezOItuu6j>T@gfN@~K#EN?b^wEF25P@ADQZ%TdvmC?B? z+0O+}bPUDMbtd3TLSlw>r&qVQK2Z4J(-p(pTX7;&*dwkFJ#Wn8oBZPB7tqLSj9Tzj z(9M{W8S)SbGNpA+TZpW%SnE(1R`eQ1q`*+&+v`69PUQb~k3p^LYp9rAYm1rjm1n>w zour+>JCO$>8X0Vi9Uus*&{w&aUw~=aH?{fXvy+fYOco%RZ<{WM!D=6Im1t`K6O+-#L6@ z$3tUicx6V-=U#I};sf|}ThTR>8Vw!E&yd#Ztqx(8Qu@xR&R++F4!V@Ll_Ma|VI!@z zll!p*yrPQM8ad_#!b8wVq57TdYrPIc<~e5c`JtQBJ8=^pu(AtEPNd6}{|q;?V!Z~B zfx`sxtsi2ug^M5(z0r#kUxIa6{&CuPH%xWpdrbGZ0V7(awyW;6FP`0fpENIRW(R%Q z9Ajfjj`=n1}rN60ZM~WY-kH=VN{n!rWQ&Ph1$?%jvfBlqs`$f0`fkf}^Rfo~c%)cBhkr{z=IFQuXaQRfBc!t+7k{o_&M=IgG^hZ7 zCE)NiQaf5p|Mc=S_EYsX72#(~u}7S7QT64`^j864bufqMx(cL2GP$bLB}NB-ij0&` zGI;XVWrC82pm%jxJkH{$)$VM&4Br{S}ZoqNY_|mysS#@+qs+W60kb{ifrIv&H?z2`kd+pN+D3#a-m#N zkK#-iwp4rD6Jt-p@>fHWMSL?X1c|i17+H*yvhpW}`~rsJK*vGsgu-9{qWJIu^bZ@}_kReC_jn!+>L^#% z*j3XF@TFQ2i^~*VBMZKLt@rd|NQ+(?*fzVvW&QB64C)84Na*i>A5d#D^9RJfc|1$| zKsGe;INylpX_y2Uo&MW?7_orApRncWnP2rM`>Gn$Si11Cu zYjGPz_$k$++k7AVY>YoB<*fFxA< z+KJ~`4lK0?QF{Fz0gwonalGnu0wt)?j(Y~9ar&@OL_bGDp6)~AB?r_x1cKqEk@dPy z2(owv1YR%GYUE8G9P`mm}}{J$RMQA}RuehtV!LVXFY^SqD(6gL zeX#aX*i!wF$BCW^8#1iBxrcL23i>S46GxP8Tdcv0-u~YbYZEiEne_Kh?eyrr<_)b| zXrY!1$(B(~CHuV?@UZ@hb*H>-IQ)B@2C8=Jq#D4GaA0UTzwrQ1pk>AE=QsHkKfaDP zcctZb%}q%J&i;@Hn(dL`?;Gr*rv#NeDYAYocf2+^X0~%~(rMW7VanW?+vs4|!`Tlr zb0g!0?rNo9X#rPH2wJUc%w*zO}g^u$Aj9l-78AZ zPdA9Lo(=UKoN3;{CFPN6L!0i7fIk#Z zx?ggurQer4?H8Q+DX`}qan6+yJ~gZsKIQMDZ`(D=pKmyIW+r>?ySaK0W60@UYu~`c zaAnc0&$U|%&+qr!7(5%8@}jNl+T5(t&6%%JT|eHa&-NDu&o!h3&-T+Np6kATNEdf` z=r}imY??aLWvG+F^}NWqW;}bkXErK$#^+jT9<8;Ap8r1H{9$S6gn8Ew z10oi5tFT2fD zV@o+}h$}S%3{G-BeJF3}S;F1;~`jtkHi~0 z(;x3}jkIfv)!Nf5Okt}%OUY~x^(HWki^Xm#3OFYQ8YI{p%u1Bc-<;8sfB3BiBaHN| z_*=QL(-nyX18wHBmpPq|7#*%V_y@Z}aOq2>XH#RhW9JGo%HEGN-+d>)^B=UZaAzUD znNFVcUy+T({)o7INq|j((AGsqj?5${-H-^JbK|JjVR>|TTWNO<;XwA@7thlwUFx-; zIG?Z{5xKb3jO%bwsM&RI@l@*J4>=;Mj#{>q3VnTG(0g9D_QGw|mhb5i?>{$5Xcajz z#U?AhD%D5~X&|p-zDgB0+#7E2;_It}g1e(OUh#0DYmUu2zPQq;zLrT^{~x46_dDVi z0~;){U6V2zwloLuNn6w0V!N5db_Zu$Gj9`HSDKWe-4Q1bZ)6jrmXjyVOY^X;CxOT! zqh||0%aX~+PskR87 zQY0dYLXeUplL#aVg@|l-q)-v;VMFQLdU-lwyCtQGM0C$3@_+slx?>WV7dtP zq&Kj=^ymIlOwhk8bb%_c`To1yM{FID{hbsb-hb2pL1r7x9^Fi;D62@2K}SNrNXg1k z(A~1`I~|-H4||~&vcNwgTUC)wv`+ThTpf=%AgYov@p3q7hJMhu^}{4X1S1m{?qfye z1l~>|5()nU2g`rA4>=N*AdlD>*%M2k%25dvISPv+GFb&Gkszx;Cdergv4f1v6a5`+ zFGnGPvz!9j{y!Zo`0sK^Tl7Htzz?zUI-$rB6y%Y%RAd4~`qj_KR+N71YO92(aGqnkeTB!z|Do95tFgt6TxOB zuRua>0Cq%i@XJ(DnJ_RRfI{z@?**L{k;sDm20KusC?XCC4ipFg11JuDJuqD(xIi(n z;K1;JVgf%ftUyelcvyI#^TNI(eW2LD4^(mrk&4(5nJbEce>fD8F)&<^P)+?ja7^H5 z1PjRgX8dC9?hr~&^$KIcSDDl?~>9TkjL4z(# zqKfkWot>UaCEMGEbx@`pu%WK0;7sJ2Jon0jxc!0tFIh2|8zQ2|b^W{x8JQmA# z*>~)Y-CEw`DfOg-nZsQy_;r(MQe3mI(|Mge;vH$L{pZ*nH=WD$e{O$mg4KRnMCI>E zQ5H>BxI7>!;;#>onNMI^Zk|U8GCu<|f>SAZ#LGzvh(IJ+IXQHrJ`_<-5eeh}LV@~Z z<%uRl3VF}t_p%CQdu^l8TT*I}RIOb2R-7@&UTp0W#} zH80+Ofpw8%8`w}rIh=5cbx9NbPZh(+>)~E=E}|LCE8~ez#9pllIUlX5cVH;qzDLy5 zFjsA(NYMiw#Z_6m6_ywt)>|o;l&0H#`9p<+N|B#pZVU6ZbC2KdJu1I_-7}T2n;Anq z2H$097c(!fb6|g*WAfJE@n5HS;(1#DAz`KCa!auoE=V6u-@O{ zM|}AY=KBZ6EQ=7Fe>I$*Df0$G!@-d&IAJda?D+%0oFEGtuH5 z1GPP*b&f@C4lS#Otn*c`ZhMkr^+=S9SMQ~*h$FlDRaxn~G*txxL(Afd?KxL7KDpH~ z@~3wSpT3=#*0^Nb>gYVJvlLJ6>02_fUSWIAW|D?zQb+gG^{FmRLl!w--dz&3_K+6i zmC51%I!;;4Yvh#kW$Vt$Syzs6+MgG@{B#+OYnuB4o;~?eZF-4iImH(A0nQuFUWm{PP&9X&S?KJaH13Z&zzoR0jHP6UTX3m zIX%m7oL(LYk?!a_SdKUxLSE&9ee}eLGLn&HjyZU`A^D#mH-QTC6#p5-^@58l1< zllfz6_%&<%wg_6l{QssEMBy0Ymy`W3>F0k7$5_rYHk`TrH_!i%@&8}W z_!0d4&oX|5-=b@Q{~qH<7BdKm{{O-FW#`#G%KHD$GJf)ZX8crS6^5<^7qETwGtTt! z^Zyv*#{w=M>#*2}F?-{MF%_{IO8ysyR*cOdm(Zvxi>(q^K&VC5cE2tZ7OoStWC@5Y zSYKKs0+KF%ZMu-GZzC-%=ghz3OGa}Wa+8d`ErEnaIGJs-|DVke>IIuEh=mI{_Rn~~ zfSLZhxRB0ik)#$B&5k;`dLyqZ19h;UH=vmdS0q?!fcKio=sF$5YEM91?4@7cNLdFH z02XGEa?j73HIWy0p_R7HNZNEi;^uY4$&TP7C#@(gD@i!)<>gLOl94$&|C6+vr=vKF z3{nz1=xvX@2W;V8?gtMM>}>5_kWpX{;z%J0?cT}Fbvydbw9VU2QbzS>F>`kd-|AhZI7{$g=SeVg4FgheQ7nT;Vkm;$?{Xe!C`5K{WQ; zH8SzNMeq)ZmgTnBfTc!t)Q|z?YoYEi*4eH+wIi2Of5i_5&|>7dJ1LM>hOV>^wXl zxw%S7$Vprg=Xdn-a`%*%l!X8FfP|ZegXCEqnnBPBqx&6mPY61uL;0sd`n)^`LFZdE z)NUC0Ca;V*yBp6T);7k5e5_toJXJYvahboE=Q@jQt_kax=;lusHspGyI=Cmoms~pq zJwH4es&LbhZ#^m=GuTy9>Jt37u9#wYGXw(EK>#X^aZuP^aG zdseiM`F8Z|iDrJ4djaUOolR25rOWSy6m`u4NXRAgE`Q#34BP^O>MkgibAid0#DI_B z5C-u1+lzl+{@V}#yC9%;m8p}SW8v*h8rv^2V0&Di6w1wcL0qqIj9jCs>>Z2Orh4_1 z0W$yf!!0Ny#3!Z&cS%631v+Lgte9$0<)Df~tdbpR_Sb$5+@rjg?J-I!=OXUs_0b*NpLa-SBa!WSQU`yo#am3q2tO zm8wCI$8nlFDo>7aE9RHik`agsw=}%=V{SZ^!(gwViit-<@?9KV9RoD}`D@FI=<>2W zY}PH(a~2I$)vvN#dlJsEwWOg1?07Zut3XQ*+1ZWO-F(+ysUw1;WwG4>fB)yo$hlG^w9!XE!tPU2(IS zaiHdh9-c16OuWcDA^1&rJmR))n#oRSSN>e(oOCx{OoOS=D)&R@4AV%JipluiSZG(z zo-WiP&r4NDm8?`JoW;hNve$?1<%!HIud&k1nURdj-91d=82o%UwO`F$DY4>O6WftSMr8)|-kWyBxr*5oyO|kviV;NLQ)l;m znUDXj)i@4f9M?>Lkp(`8niw%@b>l|s(5UBJBZ~z@1)6@!w4C94kDczn}VVb%{x}v$|K14(?Q68e9q3LNx65C<@m7a6le8%o=UPPa5GBJ_vsS@2&URVC0 zwTr&8+Z|F}^Xbod zQG(mQemU*`S{W*_iwxT9No$+i6iLycw4!I>b}tnhXmSpAr;deQ({$&(*&D+5@kB24 zN+LzB$D!P;&2H_CW`<%D#EKurYi-&m0dRjyN@aiy8?iMtR-o5?vki1XfuX18W^)8m zTRSShpg>vw0FTG__4jADwQ0&=rOsh!e$QZl*5AJ#we~LmoV!2haP`UT%ZD22-bam% z$~4orS;RY&?EI=&Udd3a+`Rcz{`&Pf%Y&U2e9q*gjSSWU&YMR2g8N4Bv*ygn$0`0R zS1G-$Z4U_HPi8d;5U@Aq6Ga{9XK^n2S%2ESaGpWppjOm>MNM{tNqOG{7Nn-+=i z!GuDNW-lUnS+oSokMUg3UNyU`h)o;#N~CIa6A8rIaG1o2ea@Da0%meysqA$uERxPO z!cg}tEUcEAy(d87d4o(4oDQAdtvmM$Y2X$1N|pZ{>p4h;=@4`q#$D5^AMeN>~>F zzz9F$<8q|XOXy)dTO+QhNJm>+8~D?+R7|SGobfozTWgMstdg4R@qe#1=LZ-V#U)Kz z5lifq&f$T#B!DmB)kogS6&4oeqtR)e8*Z+y{r!a&Bg<`NR#o@0RUd^2N4EJA@8dCh ztULxj;@MM@wYk&txgTG_=zJ3L+&4ApOgNLgnQevYI>K*fr1^FsuQieZln94{D&bgU z$H+`s@Q4c?;clS29$)o(XjRamCvz>iR#3!DNjD4MFBUjwLlj88aN0Z}XM2o`>U~~b z>+4BL4Fm#Fv^`bz^BNm;*~jGw?em|QLMeKd-0P=$!V_R7^1KOX{@gDCZNdq&R_4=B z*hU;?=Ayqwy|aV{K){7!EIVCROl0k?&-HW~1Yv%j#1k(&Au^#mL2rRldt_ z1x0*4^EC7OMFaO$&ClYn%v_vKC!dMTs#SJ-y}6N z7xz5ct~sottjX?>^iycfkJ&1w#PoI8xWbU}@Gx$;iV*j(lfJD^RFHMxHGiSb|XQgVn#4C=L!Ysd1 z30;`mmKu~>SXeXJq*OY{b>G+bXJ?UR5?l(f9PGiV`-dZOb*C59RB6^~3wpmkTQ<_n z`L$|1lM`R?SKX5YvA)e=PyaR2 zj$Mucs>?usTlAvemZx0#i5O0^__%}zc+mLMryrjt$G(3b2k{Xl2f2UQIv0F^y)e;~ z1;Q+F+Zcq|e1^>ED?uXXsS6%>1M|5q&G>1UzS>3_s1A&ETvT;=lQ0+z9UaXA!c@DO z4pP7Cc4XQ~Y`mntNW#19^ZZlA0Ct@F4Z=QqrR~CWcXj!j3tI$icTl-SB0a(DELdD9 zCjuD|fE^kdGBP(`u=gnn*9d+qb&C3m$^TF`*R8as(>OiKLx?X<1a~}gbkuWjm`jc% z*CO_fEG?J+VGHe1s>IoY>ub3n({J>f2>t%tj*b-JVp;T|Q;ehH5wFat#IMf5i9J7l zq?7h{u9pZE&m~aX3#rIHs5+b*yTzE$C~4gb8UiC6$5VU+H9|NVMG@}}Cb}fz(RIO5 zzSY4i!BRPeg`EJ|+OFc$k9d(xv8HEpOqGujZDR}Sz!oc0H@k7@0rNHebcuU z?8G~l7(t5Bads{MWdbDHq@<)W?o201!8d1UTt#d00>JL3tBzdxwr zp2_(iYsIE{iX`Vc1HUH*jz8a;crnD;*%_qQ?fa6Dtbp!w!OdHuyaRcNeF|s%?=?bg z*j2#wS)*XxOOFr#nhtJL(7Vo17yElOk0D5ksUz5{j}NP-OWAATpO|FOMvg0i=6+R$ zF11rv>y81>_551F1Md|S6qI?+=_r!6dR(74*kiOw&piptp>HBlQ-E2vi2-Km1?ad2 z3i&vF7H*Nz(j-JkcxL5#cJ`$llxS#SQE<@$BU>W0zP?_ZWL0_XHZ)GFb9R6k>^N4n zxHbeOtlw~~ix39wV!1YqI;LEeB|#-JH8!5Pvymo0+U^ol&RY4vNvI-_3$;~6DGa#X z55Vo)eDZ=COn)y7pe`gxboP8cP33NFYnx%)h)Yke2f*P2BR*3YN$+rW!JClNZ^mkE z*6w~lWn`4725}5qWq$zyV`kOSUF{d65qx^eXakK#o2sin2a`RY1hR%^s;k~4$431P z#QK+`6l*7Hb_6x*34Wp@80(4aob8+&UuW0`>jdjM9_R0tmzNh57HY@E#ZkNkHaNmF zgLJKM41B30gl5t8(GN-`@V8Ml5q$r*N-#kkIRHuJq^I8iOvh8=5D*W;$B#dODP#v~ zy>dSx*M0f_RR*q&eOPxm)yniq8vTRdHNp(w3R2a|7;X%})ze1gzQiz?zSXOeR-K%_ zoxLT>E?~krz)skZz!7Hj*{+O936@=V<=SMukRc6pm)gtvPg3x1*sP`9jDaEgllUT8 z{AH?A;p$wfVOMFFQ)am-iv1o|?^aSfN0oQTM@VaPl9htiwzf7wxl$o_=`-Gid;?(+ zlw;P0J!+7h8LP2op#{8A+4>r#z2bh$IhYd&?==W*T4SYJmTEun^O6(aL%HP}D zlj9@H|w23&)=ndsfdFALqjks zhK8|#Mg8Hh>S~^Ka?qsE%D!oUOXx3NUkQT@t zA7qZZ>_;#8Lg7?jRdh8WVl;45yBXPUDWtCMJ(-oz%MrOSjCa#QQENpS5wgmd#>&(V z{m%Mu%?l`XvDiqx?*LUfNzeg9TU1y`@pxlHEVMSdD^i9V%}}%Pz=f*Ri7fZ+Wo=J)u^5?uGO?fA`scKwzJU1M>^P=BZ4o5w7J2y zp0HqXeBBuGY7 zjJy%k%z`6orrrxKJU32zofdAG8mAy7I*5|oecreh%eOEX*oN!r%VM*&b+W`+Hy&0> zggL`Dl+naK45D)5Mp_`<4f7K?)3gtMENKo7nZL7@sGl6#np%6*sfb*B;>kS~E(d|7 z0I5Qmw4i&{gOIuGWq^7U-K=<>-BGwlGe~;ziB!=dmzaqrYPr-_vuZd#G1Kl**9uvC zO?=F~5m)YF0Sj6h+g>dyUbPh3X8O`< z#w}|AS*qvo&0oq0d(l*>%i1CAfax~DS?U7FIZaKs)iJaZ_sTRSKjMsal}Vq2N?cQz z<^l(7vag0!emb&u-L8DGyg(@@lib#T3o%lii##=hfLh*^xSQEM*cnTNm3iFdkcpai z;+uPD@Xj>3JF#>SZd%k5*Ht>8cwnDH9df{wnCileQGE*)L+sHW~{*6*k(CZXmyOkhdS+S-I2=G4XHipeorYE1V+dxqbF7CAHgS(e%t zR9AwJXX*G2qRD|!%u7ht_+PekH1su}4dDN(fc2z|9Hramkx<_w1oVOoSEvW26mV3}T$!J`}6E8S| znfP!-;@Q@NwT`6C%%1K=W81wEWPBT@Ms9$9U0zp#dVYT1J#$x=C+6Tg<^i@l;k?JG zCiTyI2OFnxqX{}~zlhS@65VSiqlsaszA*ZXJbtiuwIG}^?b~)&wLeT$QI6?2V~$sk z)0$2;UG+D>paJ~@40>p2@t*Q{a%8&A_BWV_xe}cLqoUWmTxTRJY`6j%*k&Wz0O8YRPz#FX4`5Ej{Cr>zI$fLqx)2-6A&b7m?$RkXOJO-rP}W)(P~=#+D#?GYz{L z`tkJdTUxV1URsSW0&80}o;K?ixA9!E0LdATfyYjF#MhOTl@)E%eETFg60pSq@R5ZG zN_ht>LXwABw0D(>5oT^0i9rN)SW3{LTWkNUt=q%O#yTbGO4C!@M6taEX=u-W^fwhJCsx-E<5`+NPCM53y(|1+*_Jr-4@A( zqnWkc9GZJiO4htQOjou`WZVAW5cR$jKcOjAzV03r0GJRsc_0%^=NuE9? zo42~&QSfS300cJJQF~JYTbc8@`fV?pz`$>aP^pN?45!^b<%MWNT&!dYN;yt%h*MAD zxQW1Vl(<&?L(A8@xrh4}SOxt9IKE#+Abm8Pky-Gh$7S2Om*EvK$=WKTW?gpClvHs- z(AabmRY={#4c+ru;T2gjqn0Wg^xWeBhCJ7w%)`jrFdmUZP6^BJp>#*3fhveXp}3s7 ze*S!GQe>Go)1I)jKG9GjZY@bb6-hM=ZT=D=5o${1uXCHqj`u8vh54^zW`=^AnK;5m z5FbDp&qnT-BYSpmWCV|*zfp*a3eZxQ`U`ueVw8*2dHvMr=%mn(Sv4HSVp&L*i~h!E z9-SZ=^C|i(@z`TI-VibS9wbIwWTmW5?mv`z)Q%3HE z)&!CKuczo-@6n$w`|(3Rpy7AsC+ma~FVh2#V@Fn)xvu@p$jES&IbG*X(R`Qh2-;|s zoO}I(6hq#Pag}Mk4B`*yuz(z0b?*PE9?hL-4E+RhZ1d{qZ*+CrdmAyxz`pBbu_)Su zX<_BZ*jA{h;gfAMFzet`m%A)CCWcRW^+^vn4~B|?_39DiJi{ENYx(XqhwH0p`j92s zOCFB4!v3m?AorrZm--)DQ}HI~_j3pD-!499|B|%gfteomg{X zJL1;sjIPN(3Rp9WIwbhZM6uw)h|gHxj|}y>(Hql+Jvq8dH9Mo&blYfN#eDF~A@>%P zT9uRww7~c(>i?G_j)s&moVj?2? zR}!n!Z4L5znQ+~05bBXLR|c(U#ojk0uGJgADW$dsJhC zmlD>>`=!b~C3fva`)^~E_U>e4R95ci3RBnh7T2&@P!II?SM{^Lbsj9SlXo8vP7T_7 zL~2kzcnV-3iW@^4iDm(eEuhJJ=rRDu2<7ny%DeTf!>+0(V0G?%`{(u}FDIuN&_6vo zIy#{Lno6JPTjvkV78%~1C$OrC^#8VlU*hQ>_Nzhe{}f0%|LhnX*{h&Hg!T>&F0{ngH8wW>)AJ`NN(M+t zy&Dj8-yS#t4u=CY_V=3rG(svxV4@eq#QxwOKOB3@g1|Jz{ww$Ub9LUAmG!-z92*{1 zsQGjpf-2;JC;myUz-f60NG?FX2Q+tJVD2xM8#esXabdKyuvq%*)_>BE|6B#ohnPtGT4Gv7*N?h=mk-dqjsVPxONmC>emoetEG1(~ZN5~X- z-NMY{v%CHPNTjWEn+r)}2j{hp(m;gx0xFev$EY@ZhkvY{W(sqy*rkE)pB$h8FW|H& z>E5NLg`mM(;76SbxPp#>cL4r<`ENh`--BR_OjZ6;G~vclcsqb3q;X3}tw{BL=zjpx C6ED{Q literal 10070 zcmeHtX*`r||MzJkp;AgJLYC}Hsbtq8S)wp@QMSYk*<~4ux{xLN5|iE7Cfgv(5JL7X zd-k0)_GOm;;kvK;dhYvq?l;ei|GWG1!8y)3kMsB)zxDh39!KCK4doN`7wI7gI-&C5 zo)!ebz(*?IV@JVdgmV}VE>g})`p(++R?cou9W9}UPn{j??49jwo^iTbIy%|dBPB$o zM6U^RK6iF@aFP}iL;U@KsJ)}L*kz3)L*ONJ4i5~RAn3Tp;V%`+?L9XHU8z^OcU#B( z3O>WFFal=8X^jAkOLUUvPly zV7Pp`iBr+g6I;5oL247f`atc#BeisZQik5jn=iB*!O=j_`zfbNDhT2{I0i&M{|ETv z>-XP}|JB3)t`qQ2xE@h=`ZaO8dars-@WyGkN`dB=eqUiq6!IE;ACowWr1xdJ2Q?Rk z`E0PBsPeo=4mfRa`>2_?%pxJGNAAr2suM-oh_e0;DM_n%k_#%gAnPHu9r|U<68+e2 z_$=g!62~bz*Q9>AYC|*p@~^ED5t?M|EK(wz<5mdNc8-d()eZ)IG&7O*vvW(N;&eL= z6}4$(@loozsLW1gF5w@-AaNOLU%TnoC-~H7l{NUF;(L$-!x1R%NbqSM$O*`H4M|n| z_&q;W94|}}XY$2Nn|zgT6bw_Q_7$EMfNlkyh7Jcc;}#)BSS_2eG%A|{Sp`GkmhYk3 z)4lVIbWrWeDX1tU%+7%+>x{1f7i7U&22D_N2vNb}SYe7WCO*fz##}iy#Z#%xVva$I zC!axd&7pp2%3D8n@L0y3Ri{dUP;;3H;lu>$W>sWd)ly#7SLCZJb0ug70rv@lJp zulvNuog1=RdEwx-wlYitQ=)7@y^#G_J|s0L>;$^E^`U>QKv zlkd`c5{d&R3powl;%CIF_@?z>qBPu`v%x~%VOOJ*)LZnRFq`P@U zbqE;7{KrkUt2bUZ>`@zcFD&*h`D`0($?kl-|H_kBC8d-BUQ%J4V#Lx+Z%ont?O{lv zgAAHPpj*DZw7cofTq)Z4{pc^|SGRCwYKtYrjML2HsA8_f7=h2(X08f@T2J004z2ct zws!U{XVX;}q+a1Z)v%dGA~?MVj|w?}CShknB*@NC5M?ts#L`x8D@nyUlBvPPaThou3_5;e zus@?fU!7xRC~bG*)69;5W0Mv$QdIAE43j~8InGe`NzK49$lzu*6Q?+fFwOBdJj%*0 zQyH;+%)yJJBlc<$FtuQv^^DRWFJz!sV@li2T0R)W)&QzN+X7K$En5gU#t&WIx9==z zNI`bS1*z>q%;h#uer)R$@*t_qeu<)^eVF5;3dpc<7o0X!&*G*~Y*UcjiuMs2CJ3ovLZA~yG-oX%F z8ch1qOJX0@%|+8ku~byP$%#gnjTkdR)6>&IP1B*|wnzNw4|t{)I-P@73DJ<}!O_x# zfRjVsnVRV1CQUvn!1v&JuMnL6Um>UQJwkUkhThRaR&wstAOa z(Xp|)c>H)by3(ESEJ@a*C-HLabQ$z>e@sBG%<~$Q_oOr&nt)%B_ddxko1K;XN)@A{ z`r&~;6rQ&IYb+N^e+-KN|tl2Zbe zp&1^<2uCL0k$i_yHa+FIM0eQ>G;nf{*c=H*YSUKi?I4Nk-@K;}mY?(B}>gkHF0r zNTlxV+kOd&iCL7@<`3LC+1ZB=T^AP@_a?^TiIzz+ZXJZjG+FAgC_M@qZ6Lm&Exs^$ zbZRFV);y}_f9LX^*GJk4(X;ddXTSdz-dh%T-Of8n*=^bnqvh!P`9(U(ouEXc%VI<3 zF0*ZMOBLM1mbn-2s@WZlQrVdA)O-1|aA|qDe`p9pI@qyo3}TK*AFFiBt*Lp^DZBBW z{nY|UMfUbsoc(x#h!JifOM!&(l1KL}mVi+%6SY*5m5vD6qsREf=}t*;CaGeu)g~Ym zG)U{QMcM*;a{+MYwTFV`o)s`PtBULPI0M}$zp54kA#r%s$jC^k{di3nGi7+#@P?!$ zDsNX$PcJtoXX#8MzPj23fk5Qs2%)(MR6m7e)%cD4R48|jSg*j}w z&lZcR%uw>i;zfsWL9mO>ky=X$DyC{uUZM{xH)gs9Dky>#bh zFPmMIgEXmqi;AwPIEj%f-PUwXOp2rrxl{g-5=}L zW;I*KK14QXUlmi3Up1xUhT>=M5wQ9BaBc0#7q+%zE8pMS>B9VvWa=rk)(10H@m{@_ zI*mYp=zUB{X}NI+)*1|V9G6!5WyodvfkADy+rX;ZB;_lExP0>6cYT+F7k7ij1f`?}g=X~X#w-O#tF-+38?8+0_36Z&mX?;} z2_GqTL6p0Uax)|qUnVs9s$1*;%(a-gS%Oe^+xz!dhNbhC74xz;;KP(oUPF$w*^6|w zzK=sB-tagYUnk|y`gCO9VO)N7s8o%+x;i4gYdAn~*tno8pTUC0(bnc?UTbd?tK4bm z#fujO<%OMg+ego{v%3}x4OopFhs-)e6=>p6Xw`}LpzQg%jl*9&yW=XDq3yYov##9= z_oB3es+3uq$~N>zlhFF_{JB8rRLK2H0%Ywb&-jOsZ{+&#RR0Q4{`?O^Os-QdYv(7* z)K!poPna2=-xHy%5bMNBaQCw`@VI~jQe0$Zy(C0FapDBhb#^%J2*js84r|5-Ga-!y z*#}zmOb>%q{?+sel?c>RKdv&7Xcuyxg$kKj=`3aFd*?d{MC(UEGBE1W!h!=>M1wZu z(6DKxSb&3xvaT#?>4D*c#mWQ*79PCj2bmZR(RNR@z&m1ip;foaXb(MT?WjEHiu=7;SAK$(`>f-9!QL(!= zQl{D1*!b64ls}&ex9Pxdgn~?e$sPfJ=B}^Xg>C*eD>w|?J8_Os#}(;*T--@oTDk;9 z@lnQ6Zxgj@^Qe#UsSi+ymHd-MyN$upKZkP)V$PkY+6d(l_?)Vr!Kfoh9BN!=KL7c2 z7|Z8N4s#`?rBYhNjFyl9+4gBo0ZwIcT2A{RT)vY%UasPFrM_rJc>jW~)8-T0cWI^lgyS2Wdt3zpr6T7$pxQ7;m z6Xxgx*7SKy2hYUX-kqJ_9!Zu;`^Zl&EiDC}q=i7_Cz@1TSyGt$p71I`2w$N5t+3a| zyKe|{2vchIb9w^(y#j7ClL?fguCT^TF%*+0WW&UT3u z(}9)z2owR*9CxE>!l-_8FK|QJ*@0Ppg^HBp0n=DJBQnitW`##7uOGI~ zn4WrB8CZV$TqGp%J#fm@#3cXu^_=8ncFD?X+{rLs?sA$5mAg%$0Gw+BD4cK$^<>?E zejKL{>?c^_T9YR`rh9XoaNg`F@Oqnr?NujHG8_&cu5ijq_Sv_Qtdx)#$t2fH0sVbf zY9YK#@|tA^`jd8=@a1X2mp|ITHDj(e5(a>bNY$az!I}VW~<)AnwA|g##Z&lS)Zw{i?ao60N0TniQ6v<_529!Q` z{rdIn;$o+cM$~wXx1gx#Vdjjor(+W3QkJ%=!kfwg^etGhb|ASIb1UIz_fnzjH|jh12tt(!xOCHqfMhtNmf3xQp+P_0P~ z55nc?*3Gw`)&F*1w%p3^?e(8^4YRM{dg=`95{_EnLTtA~t8l@58rcU! z*8LmAjf)DNx<$eP17cc_oiko9gRujFr+wRO5D2)pH|b+A%E_r1ha6k7(kp1eAp)7d zPEfZ35hBiL5y~|{miS_1xY^BW{~&_Mz;J!7&gkq=i4IvSX0CAsB();|2yC`Vbly5t zoH~s9eh4<9}RFv`Z! z{Ib}_x@#@vATYLMP0xh>DBn9JH*&A-{;Cn*)+%Mow^gK`+4A|x+A=%|K^hw;C4HUz z3~*|)`xIUE`gfsM8|{*pQ27!{JPnt zRE56OV5Jyej2OA8(qTtutgSt5s8A66j*seRH9`9Ys#-a)VaA8X&sWpUo*31d{}pbz zAiMvSrREb~viqGgXU;^VgISkobTHlS0Ik&*DQ{Yml zR34*l9FDUaN`07k^C3FR2X7jtKrWxgI;Bmqh%J#!DmSO<8JAfY74iy9DlK9kWS|T& zyyJl{$P|6-L_2S?H_CE^v{NumT8WZPqFw+VJuoo;fPl@((K0trOEhV*@xg1lgduhL zXY|0&SX$z&bxetyrGvyLKD3vXpQ7TVgFb3Y50yc~aL!^bpr8(fp7*jyH9-=UHlLHb zHMdif#W1#paoC_2*>8PlxY-^exSMuukA5g%jd718PufdEqkR-8;4)8=HS+j!D%`U2 zR_4{~*VB7?wBR~A&s$?eKwi}Jo|oBgtY@_Ka@S9B7>q0%?hW+M^VK9Poi0msRKk?x zW8K)Icu3;=7xvQuy6nl5@=$@C{9|+@3n|%jH977Gz(xS8q4s;x zFJ@*`h8EL#1TKYny7G5vWJVL8_pMqP_e<*LMez(-H$^#Dh)5KdE*3BdnqGB{#;Rf| zRw*4Hx2y&oRi!^PH+PZ@4dUg4n&3Pw8X4EtFAi{vsCgnO_OGn>-U|7Q6(PL$@=*g> z2bIO6MWf*|Yu5I~cYJ8L_ew8Bf$|3I!fga&$v4bk`7xf8h4wL2FeuXqa3c3T%e)a# zQFwGeC)zxx+~%I%!41C1o~o&+j*sog%5^1!TX{vF4?5fM+OD}il}k>l`&ijFjt9KX zHP25|O$a*9l2%+8@k1CzPQ1Lj`_$X;GmWUF-O$jJl9jNgA;S`fsUTB2YP*cySY?l% z$jGGV2l}c!!h2pGlGc3o8J3GPM7SPt*k3^yos>+jj80|?ImX+>tQsnW*s~!09Pm?b zE}Ihbu%NEROpX8iS%AacgzM^l8M<_9p<{%$G{sT>-O0}06gO3C;*;@=TL(UFAC8Lp zTa0LpFA_a_=h9+-pdKIC59Q=5n|71ds;^D&4A-<=Mz=Rf>)ad^QtKI(P%iFL<;1&l zLH{AMJ9I@fp2;zm5mxzvs8>2+d~C7)XS^grB`c#p_uFPAMK~Ja>2&g#{I53wl8Xb( z6s3p~`&Dnlt9`jfnjFc5^Fm2K>X_Y@$lPKromnU|UD=lmpVHFmKTIjO$gbC$xEaU! z5Urkl&2l11V3%T4HA7+dz6y+$3|B@96J8=%aYEiUUy)C}?&WrJpa}=wi|KY~&H70$ z5^^@l;Q8fnG-ykPhlkmO$ocvC1zSft0{yiO%Q-Kjc{8+n67fk`LSU}u659pB@=8U^ zQ;MP@wJ+Ptt2%i<_k?&`vlInW-kp@o@*qs+`k)pUe38;9^&$i>>2fvPM{oNg!_0-h zTFAo$rl&V=s4(%7hG9xILzHn6{pEWXWldpmXyf*Wh}ckr67l5j?Yaxq8+wA_3108J zal-IqpPiubSaP-L=DbD~#_YxVj^~o#8Coji#J~EWfAp4#W4?E}CO0>alLN~&7llSU zIWBAoMMq4%R6FwK_K7g+OcoUVQN-*>hsoY^9-ZqX8KL)Kf@UbkYQH^mmb2=-X9L4> z?6Nf(lsj8%&K|o0d+O6#E9~)%$?X4aJz?*7m|}}<#Kqxl3hc0sk0IHXo!=MnSbo+- z(W8-RwCb?UFAnSL+{rId3-ox)#a`0b{N`K3*W=g3)soLsWdppN zzN>jDY*fa;9???E#fzAztNZV zi^>m_W8i`=i*W&IM=l^Z!aIQp6A}`D3BA3&4^4RC%lWQ`hS}Z?C$}fzH|ovoTdMq# znDZYxC8cbB@6zciw9=@(>&)htzed_&L6RbRB)l>ew5xPzb;t8dI9~;dsO1*~4b)!PmdN#S= z(Eb#J%XWzP8W$2~68BNLk{GOWKm_?ysIU>15C2;PA={0~sJD*#{ce*SapRS}O@^I8 zkqDZ&n2zIk^(26feTUkr^~?wrhm_;JkurO<(_t;@=}3|(HLC-3$M-Xnk5qT;<#JO~ zXErkxFeOnMMnx8_Yj`5RnILbqr*ra2_GFJ1GxyF1*^d;y%%fg>GV{}ly-6ZuMAD~g z7g-8SGHOs#NsH+@UwkmMp*1sBkx%1>>m{%n@xg~NotgRVFs6ydZ0r}h0|^AF9lDOV zKMuC0a@Aaj_fmQmTY!H&l)rH5nEDTY3$27dj9yK*(zoKs| z=epy4`g`d#k}Au1p0VvLt-&#G&TrqoZQ4_|?f1!GlOatxOz_k({&@8lV_#fe5eZFO z&D>$xpUmc}k8`>tUHFk)rnwlqmefBqS^kv@tt%$n_ohr_U|U8vn|~!*W2>6nUKy?E4ZX+ZdW#LWvoa)6)=|fw zrHRH#+6|hqoIR^9V)(mIfrf@=JHPDb3$(oV@MQupy8u^em-`-LtJAJ39^zoxgOcbiNa<;9d6w?^B(mk(IQ_zdpRMkX`+>{-}(* z$6lQfneOPD?YAdbSGv0&mn9ybke1u(({|-yD&!sd@SuU*gd!@JCC;1&+0)ODN;!y< zaKm;5u(fT15D=ZTxqVP`@T)a==QCe2Y++#`uHPS@`|y0#V{G+yf~avhrwTnajQ(AH zM7rC!x1Mqsdy*&ZhcXSceE!Z)&$YLqQm;0%!GB39=cpXM0wB1#Y)UZE)^LsuEEJUGrXZB9?eYmc`3<9db|jzXlF|5n49w5>b=@bQ%`^@S7OM%! zl@6D)9@fvFKk%y!X;q^tgMZC_KX!?@w_$*c zF9u2S`}glWQpLOuCMIJi@HLhOf?{F=;M*(;f-u!+SmU)fD)X*NS4%6^;+n_ZrgSX~ ztIs`V#cg7vDKX$1wvfGTcelKT5MpnEQHlpW7^jr>U+v6{m84nRY-_A7aCAv$bxTX$ zNv7Y~)t);`)(Qtha0QZPd|X`D;rfSdv6dLij*WZJb3n+ZA95C&_QKQ_Z!8TCBLwT| zhkpGUCP&_#7QRN~-ZeNF$L_t^tvR}bPq@dGg7ume0&G{SL+iErGgO}n3OfFT0pSnB zWY_;d*6dl)ys5i@7dwAECpGnsjO$9XRx3362c9&7@2_y0M=r!U&37zTj+2mY4WkT_ z^|gyJn3lq+ae%xH70fch#H(YKdcbm6`Q3>(LOvJy`S~9yDFuMdhgQd0U*(XHki|~& zN@t1PP|>pdTw0iX&%$%$FV#aL{f6CILrm?Ttmct9L!4dwNw9Z!h!H8j87ZGYD)_#( zBNVM_12nY1j3?W!4i>(dVssy5^!a_HEHNAo!YD$b5&z|jVfS+#IXO9`E6rO$Fuk{T zHE7wK_cv_-!G}ptzt{E@YF)*&Q5r1$@E`#uDixc@UB z7j($1=@N~Mj7*kkA*cdG;-|bk^#}; z@4s?!b}s*G{V-qcf9{$93qrmhPdQXlMf7!bed_4Y0PLjbpKQmUntu;DJ3HUfB4&jG z#Yh}R1Ry2ycFSc_;O5L5@mOqUsSi+s5Kuzq+ts8&rgBhs|Gvdz9fWdmDNXIpP8|Eo3Y%M7fEfi$ zdEemR!e8swr{4`WC8qwWm}g%dtlc&ceMFf8{k1Srcjb;iwTZ$bI7HbKFE20S+1c5pwKccRdC@0T`h1$n zIy_7jDbpu8Ca1AoZzNVCxkc wnh#X*1+rKE_aM%H590jq9>n?o*DqP2oLew(^b diff --git a/dev/_images/plotting-24.png b/dev/_images/plotting-24.png index 01c18da278495d76c4ddfa244ca5303c655836d6..7602531e08f350c273da7ee47ed2fb46bf62f7f0 100644 GIT binary patch literal 8382 zcmeHscQl+`*Y`CeLn1d4A&C+M38LLHY7nACixFLvAYz1Q$>?=*OM(!+_b|HXoiP%^ zjX|PBFDZyJ3`TUm?{wnRT7(I@h(&IeYJO_V2fM=zWwL9W5&@ z1VMBf>MD8=1P4tR_B1uPOmK}8z(vMQ)x=HT1?}c({oEGPwsv!Mba8XEf5hcs`y6BM z;*1oL5xFVE^~BB16?02e)ak!o5OH~KCwdh{H3o#7aaDhSfuKK7Cx2L=XE+Z8aS3Xu z+%fPt@6?^^<&C zGH(>0b{kX(!#od^*`CHwMXU32L(ptom?I6C+`1YJf?Dq|fhN1kf7WF8=#>~5jeuGi zX`$J2S7}FCIHbi71WAVgO=5%oCpWSE#AKw}3q{4SOQN+`5ZGW{2;v-Tz~rO*(hAv} z>pyrfK^#Cee%VDunr*=hBVnQ~1*SC)V-ZxXKlmZ6&P%1MQ*MLWOGAaRBz}ldv62Kq zB9k3&*=k(BDfv^rsM+~j@H6T0Gu>Kumu8P}7l$~QLsYoWPh5q}lM40omkRSUZdFhS zzT3_g&%3U%Dg-p&jpXp}*v`$*FD@_t^Pw2b>ofu)zsr#Kbs#2*b@%n%US0+xH`Sl` zCrt$$k`8BvS}jVz-7MFM7t?3||K@+J2hG|mQ0uER!MPtl##*{e^80UFY)zXz6gfOx zTL`e|O&M?>Nk6zHZ&9SbaPS;XPEh1!3>~G1%@W^)<#uagtY(@<4yN<8^_IWRkJ#Gk zg5LfOZyFpNH1u-tl@97xP}p5Q+|PY)mTN`Me<0FCWO{|;6%c;!!vc-o zfkATL|2}U&b6Y^lSQB;I+iI#x&0z#ZdkV)PpS_2P795#yb(dWZ>X%~lP=)jZ8LdXFPbE`7Hx{ zfBt=b>RIQN?*4vbP0cr~5)L@v??v95^LGB3@8M({W@a?v=b%omuo4RxED>-Ro-&|iT5k2? z_5r!As-<5LG28jky0F^7XH8xocgsCyyjtuUt)d&4<5>f9p}C*xySr!&f<7Mxr6ADt zFmJfn_~~rxi}41`!UM~NVYq7%uw!p)io|@}hnf*hsTraLb?YmzmlTxk3#+{ zUA)g$-|n7@IZQfTy?y0L{j;30Kr6Bp#tw!>=0K2Lc>sQQapR335tggV<8tiALi>u+ z!RErx$ETKPwE6HBfeHHqOt|oc_a@GwiFiZ1$)i>uHVxtd>e)&XWxW%fOfVM3I4hj* z6TNit;td`iW$jc+!>LC1YZ^5U!vjTz#eI9X3Cvji_=J?Fhy-C|K24*0tiw=wIxU%= z79!&jXNk`4^1dlSpSC-7EjKYR>DAdg`b)PDKCe_tyJnG8uu}J-+3Jnwn9s)}1R}}S zbH+(l*RSC|gxcC$p7-drJnW8p!D+#BM*0;T;xjZ#@$Js^H)0i6UmE1wYuda9AECuQ z_PAo+Xpo{{$tu;iGG&G7r*6GS3#C=rMN;w=G?J6&XV*3`Bnu&^^Hp2ksSysEPhcOh&-?3NmneO7BNU?S-+0=P+sKZD)*w)y(b1P(IvvjT0aIdk`F&DK3c0 zyC-%jXv!mXOo*BqF^g-K+w_`mbk7auc)l5TZW72VW4@F+cQkWk)ZJZ~-r>s+Da5A= z_NG5Yoh3KJc32Ql3lqK8kIqz=+3iUi$@LF9x)7=i*X{^6G#5IY6Lq%agCA!@t)3ej zxclm?vR^01gMlT}ECO1@?PDn9wzOM+9Rr22MTdynMKs{o`UB@V)|RrMG&Ao8%8>rN z$A@>y_OIUw4olj62^#TN%pX*q3z< z@#2^~3gK8#!pT8a`;j$b_F!f7s&*RxR3KrfrkEt&`sy9TWo>AnKA4vr+!B68Fc&w9 ziu2-!7S_nt7z@S2y@3MVNs*BDPXZ7x4)2>w!x@(%fn3;^+2MJpr$Ki;p$sZnV>vcxd4nhmT%n)y!b}CUg0Eu=b z2m5QMBvo9dO|Ce@3m^w$M>q=_lklJl$135N4-03NASU^dB#?JssN8`mDka_gB!`s=9;~wqEH~T3zb#}+*|3rU)ReR9W5;l~f99Idz@9}uiDK!& z%#Whr2TTYkqtfaHrB@0aX4uMb_w7v^pAT^G5+`s11UlU*1(ct$1HZoLITW4r=H{hT9Q}-4IS=jgL*)(wyo(CQ`b*=(9*kVK8$Bd! z0tR>|G-hwnLM3D6A6C*ldW36Zp>_8jVf2d2sFmy)^SdxCv#l+fK-pidNrP&bIYIjfWLI!dMVw0>+r!LR2Rz}jG`)mK{ynSfkFmAB)rOkt}wUk4iNDI|b zf25{`z896;^Vu>4XDaAm>j;lV6K4&e?~!n9eW(g98QJ@_U~6d%MdhW8_d%nGXp8NLJG-aCM=&85B%$MHf1UbZNG3i5@Pompv0@;_y`*v+!2Rk?%$3NmsG4R=Vs2 z7%;Cdy_X&S=oK8BG}`>Y;j^Nq7SOQzJ$rjJz0PU-tNJ;a|QwF#wPL&7g)<8W_2VSl4Ph=&Vpy|q?+0b&{6xOQZ-PH#PLy` zTh}#UqNAarc=5m%5)=6XSXf@Q!QLm)lW|VM^0iMMv?l@qYzE&jtE!?Akm5>QLP`U* z3Kfv~Y^Qvvp^C(WCAhCT&am*g(jbJZ4&vW<5^4IsQQqF0s`0eR>e@Se+G7Nh3>u`If8TowmlVGP)FCGBxoR%|d(;LX{;xkG6-sl|B0GL! zXlZGOa2gk`@$qTJz+YfX>%Y^I#%lzxXVP%3Be9FZCYA0m>(zH;br_%Hxp3IqZU!{5bpzmwvoZ{kxgerVRf~Ey}dnOKp76F z^1+HslgUgU>`tEjaKX~p&~S01M>NvmVj5woFSso@H$@^Bhm(H!Je;$IZ@5r@q1lM7 zzX{s8GX}O2cb#o5 z@JHp`eLGZPqjpGg35?|xHm|?GxVUI1zeD9}26!7blQdePOvfg9(6y$pGaHn0%iY01 z;prY_v2lCaSK`@sl@o@Rg0w>!90x#0-yg%gcD@BWskvqd9#iMb?r_#U`I21_VAPW! zT=RUcd(%e;0Hd4~m_nrB=7%2h11Z-HR!C)L_aPPJ;=0~!$NdA`UKsg@tYvdwQ#Hkp zd(gJd7?qVCy{~O;khX+?PT~?0@>W(HCv+K2W3K}sys(`ipr7}vak*4KRnln)IOPT7 za-QE23Q}41^+^lVCeH!zwzab>Rt>x8FjAWCv%Tuym(I34B88#*A_W2ufX>1Xn@2t3 z>Yueh;p{Schx^-gSK2gyy1t%Rr@2{9_(7$LO-J|_U>SSagbP46m$2|#AY1%V`)Q}K zO4SofVqsL`emkxc(P`C~1ypaEjK0*QYY>V5*_<0JN#bcjY2(rj_qFLM4<^e3OUu1q zIZK4wf`VGWMlo^G(eD69F3!s0y1VGg-cLt<4T!bL;og=$*SRR(Dc3f-6I{+>c|4bh z=2KJw?ic@>fwT0IrJvZ6tea1I6=JrytYrXfL2>JkrzUj$esr+qx)2V%*Lu6UWGe2^ zKMGr*_8L4Z+METWqE1`ymvTv}{`=fzzbetj<~NUht2bH*Xpk7~tN#q1BkbqYB0y zU}m={Ns{xfyeMpnOG{(V&CAPJckhfymU;c_LB*q29;=guKsTl_)gY(v_Oh6gs;Vlh zyifIL=h}1y!)XmUsa7qecTw|w>BV43K%LgY%LE0HnC1N*#JOwWXgd1vqQ$O1gB6Jm zM|!@J@uh11EzyI5`(aqkGN-4(Mxs|dwXlQO; zVwd6l8u-_J6O#fp4sR72diMKe5Aj3bKy)XKZ&jCBG<_usbES;ZUe>KazomQ&9^i=_ zMg6s8B{M*S0uuXD6kqLh*u20+b=}1rO4=z`4@}x;b}!RvQ*5J(foU9zuR=O=~#a9Nbuy z695bq00FT6sc2gN*@O1LB=)+txWf>Cd|cd@>=y%(-nxP4KTLwvTmA=sM+u>Mz|yoQH(oNbR|e(N(^Tid0PvP=%&6){B6 z9r=$zY;v|^H<5N&6QIxe*L1O7qiIrciHXI5$49JUk6uzUaFh%U8Tjv$>f~rAl;??J zC&)+yu43N28BrZb5Puv(;+1CBp`s)hTgHpv4H~zM0Lp|LLFX>jO>)0CxvDGmVlYgF z$lfq_5p>W3Ovo*u(YU~2zhW|>0l5HLL_A-6sM-t=j?`3>)?2pJ;8aN3e)tAbs?oD9 z{gen;gEJhqc(mW!p-4kN3czC93o0~fGLVqWqj>U}@rNw&M=vP{n*h&FlMgo0s8c}z z0Z9PxXMxV!Mc4T?ka)2cJ&CCeQON+DnX3Sx+xA+c3a#P$8vw@93cJW;s>w|TGk}}9 zFUK8`X*TK3xqc~mfTk~}{Of6+lUZT5l4&IXHC!zTLSi-qCo`~`n*dC+${Ov>QaRJT zlr?&P(YOUvFu~D0dzO6D;0l^+YJrr zq;4w%cDl?dGZ60GDhas7Riu7*Ujm2!5Ew}kT*99@?*P)KPGfJ#)?i zTsl0~rooE&0NoLwqR~vWbgsRNIItQQN9NJc1BckTdO}rx-4|d_nC}OQtp9U!A+p%SB>EnHvppeaoJUrDIen>o zs@y<&{-w|)F;@Civ9n%R5YU-#?}Bm4!9@I!TI4v2>frO29JC|Ht;ZcVqE7Qe>X&)$ zs&7y79F7E5*l;!f7!_LtRAiK0?4t*37672?{O`@QwxQ$``Z(Lh&?;VgMvLE7i-c|5%^0{a8B;5>zSrBC^YHvOoTRvhCw=II29j~L}9(j zUXLZnqdD@yvm@b6pLHLEEY`H?N6V(7bRx34Z3}RBJKTy{ete zeMOERq(p}D-jY}l*34E`somc|DCjv5spe0pkw{{d)FfItfI6~Z>H#bbNht-6B>Cs zL=?Pa@Ib(6>W2J&i2%%hufE~u@*^0?jV6dl&>TPefx9S-!|_fOVs~<&R{OcR0lQ3% zkF1RO%qjiZgS(Xtye1HF1xXWDHyz`%73178CP(?ylXovU8$?e2bEm=YS7hKp z&MLra4)~FNL{_yycUN?RaBRRPoBq;&rNvySK}L6t;3C3$ka;YYddA}C2Rssk!3;NG z?7$Jr%*0dxa0jS5#HUC+_2}E)dk+~HCTsg0tsN6p{lTUtjgO%aUa>)m^048-()8W6 zR2LlKc#7%8a%pV9wycZOnN;^~dNmdn7Kh3D3P2%>450&VMzQ0&Y*Hyy$I1*EVC%~= z&pLr3!mxp%tz?+@vM^@dq|SMMG3a4TY;4X|<<}>qrpV$g+xP{4gw^hIOm|-Mq|j!a z{f}Nl*48kfi+t-*=gjejA5Q+Byv?5gp)_RakZ67~Yk2%5SWtIxP z>9WQE9?O!JmET1vz55(m*7mKOo?ZIf7O|q*K31mAQjh!a`=z{)3U3D2BOo1dLqw7W zci@N7@y*N#^ECHApwmjZ5-dde%8eh|T$&BsRwBJPA_p(-bw$+TJeEf9# z@FZac=~ml@$!M3O-@47k>k$IxMgB5bm8|#PL~oHMj0f{|j5BZh_buZe3Paz@8{Qn_ zw{c|z$=o7sHn15dx}f7MK*=_?Mh0q~242&lGj|h&bC=5!Q=}qSOM~#f+h3Q4i{0nq zjWc%ecA5UQrnaquh^%a-@fM3cioSj}t9aCSZG36VIFkVM1=N%N$+kyDu#0(Ktaf%n zvAC@~S^FqqhR7JDg>N{a+AP*}9wvuVnS94^!f74J4 ze(ZgzM(mDXKr^kPZuFS#v#DEE@XCK>_PynhkSr(@sjDw%Bfm%J}A z;M5C6ii>Qx2h5~pax#_>fN$VD-Z@rQeFbn%!f(+QX$MZ4S@?YjiWC%)H2w&xA*89N z0c$%i3}d>xiG?rq6Z>R6N~UKlrr_k=1-?LhAmKqH19f1^TxAat4S1S)E`!$8${1Olk+N>|S^K)Voli0Z2m? LrBbS7_1FIboMLw~ literal 8365 zcmeHsS6oxww(m-43R2`lQM!oIK?n#+RVe`^(vdD8AiX1TNwHjHMo#?#+t$9hL7rfAANUwpU2i-c96EUkB5u9kBg%XkDr~Fx1+loLhOc^ zqzKO=A0H3zo8scG|MvwkcP|I=ODKv_Amp?M(!?8r&Y(_yu&~E5mm!FUO+)3Dfqy!A zBEZAIF!#%Et2F3&n;O&Y%&0^(53k&di{D}5l4p>o-(Qn`|AePJ{&maGYd_gD&W7li zK2TB>t%8}i-+Fj);ImA8)Qd;D0)I0jAD%sH^NjM8N-7kGnc`MIpKv91MX`EyH?*LL z_pA1?NKeP%+;~tgy$Wya3kX8%ixHQmrJlPoJ zJ8GBYIMW)%Cg=C-##B;fX33K$PyE{`r!TQUgvh|HUpUX%cE@Q#_(BLL739G>{13ev zK~Q8F9IA;v2Oc?8U=T#O#qz(m|F$0fv2n8BKN{$G>@5@1u&YglV?kY=n6RVu&!vSX z`gPx*_gm%XYxyo4iStA5r%&96%mnome?S&|xJI*exKCVl9p$Zba}BjH6{>u6$s%-j zaogwD{mN!J1qBN#hpI^LorCrMW<`IUu_|p^>af(gm%?{-k(zOO`h|%wG$+{Q%da`# zF>t)~^1}T1(N8lJvXAj2W0aMbzFn@%G8u&H7z!I}#=fZVd_VBv+v0KLA1^^+EvFHk zx{baMAspyvWf&x4TCQT+Z0R(pIaYSZY07e`PgPSZx_3dn9!l4;&e<4s=zC7Dw?3~I z+BA?8;j>ScIDP~zfDdPWOy63xI+j#g3|oJ-+fk!Rhc^$4!ghJi8bYB(<$dW!BUQvA zX7d27$;F+`(lCD^3gurq5c?a^9uvk=NCe&<28+(jASc3Lo6YT$0{w`#jp`kCCi+ z%|d3-K=v()#8cux9 zkRU1PlD~)Rc*nmy@p#G*g?jBYTyhwpMEC4A?X%nYO$?DOH+_EUr2nPXo2k&}T$)1v zDs-LQJC!g*m7tspLMrPTQKs(+)qLmyyW88)Z8`6IO|04(Hx1pJcJs>dc*EwY%p^tb>-xZyJXD73C&NyuB-aeRcNWbyp=rN-aw?43P5 zLvw}=Nj>6J)0j?8Z>I;J;EvmFc+LKj46*@QMi)XO(q%7&9F&>NuMT#llkPoT@1mlj z>iqj}o&G#+!%|BH4ZUL1$_jg8D%c5ks_DB|uFRW;pA+t040oHrut~e*!y6*tP_X+q zUc8w_Z|3}i--n(9!w2RN>Spjrd>x~bRJ{lT+e5jt)ATHmY;jRH$HwuYyLZs2!uAM? z#Y&6?jc7cotF>4+ZkDv0Rv$*fQ8^GnHJM{7UOD6+~{Etun2{ct*)tcP;o%xN5olN5#C$%Y8qon2VR{_eI1 z)l+WQqr-2(WJP6$fBQRMWp+MiZ~Ggx$G04gEYMqf$5S@(v>v)O0oqxjvsl+CSPeUin=@OG|i`kf3o-!Oo49 zLvg&mHykSHYLQE$Fns*;?M9>$@>BLkH-h8ftU{%8n#8#?sS=3<#(R{Z=yMQXgS0bd z6puYVa>qI9lN_1pgrPyacfM3WxzF*T-f&4(Kg1ddM?W>R6eA{EbL~lnHpIu-$m!1H zKn7Fa-p|*esp&Biwlx+^QPKJk61l&v#i%GC?QGw(?Y*YnfWah73>T$bjM(2Mp(qdJ ziy)rw!AG?lGtu^f*F}kbsjcm_gf>ADsr<~);~<=^I>`~eWK9K~w(C0Y9X(ZK!f{}2 zWtw_1I_K@hG-ci#h{w7+)$Y1O3PQa=x5bZ*@IkjFreoL=VatMKVS)Ibf*rbJni-&0 zVA$oyHXZ3SC~1pFaUzVuRg_`q1?>!{DjQD8r`q?YEyB?k-}^47O3?X(^qT2=P;;X? zHIDbyg->LowWc2r5k~rY-6IO2<9@s+&a{U47OEq_cLXB z{g|iof!KJ}XpDQ4gjo?h^qPIl#s28?qbT?RfMl7!kM`$3Dc+N}mOIU40WR%Z`>Q}e zIxr&sB1=(G3#Sz<^}){+hwckjjbnby1Yo0eEs@w11o5w-xHy-5n9XIuj+o!zIhn@g zJwzy&{etDsif@0N;51y7LH(k5tde*??2pFQDRc-6bYI%;<%ZSq6<@Lw7?9hdK2<`= z?j@Pe188T+W$d9Js(#amq=DY4+cZLK$+(thP>KPeFZ=ZHR(m1aVAdm^Qz7;Y@rh$7 zxUnwupl!T%p8dglwW@cJpOn+XdBS*Y)jNVA3)DKXG&rB1$)(`J5Bs(Bt)-jFjs7VJ z1FeRRI4S2uDYtYoA6h1c-C>?GAI{_sI<)zCiJ7idYQind=Z3l%&8q>_Q&`fUb?Le~hN(gn2T_+1dT}a4+JdZH*kgR&$W;t@M9^7c7BJ_Ej1W!=(k4x0&wqm$F*jM)^&{b+e4 z&T#ikLN6F;Ase?gTAZ;sNf6!owJ<3KpQxi^4~K8OKbCiO;3Ey|d+V)60KN=2NyQ)c?|rP3Hj0QfGlwCX%c)Ma{-g zu$?}lR z8jH$s$%hWG`us*PCSX)5gPjR_kqlM(&{1DbM2eZR6wrrs>C<5dUoZCmG4j{iq`(SO(-($1x*@(T~6u3%%w_xcRv1q^&1|XikwE z4(J~`LI6N$*%xqVr*(@=+Kje3xGid0p_3$LQ2_!GDHig-Kn12d2HE^P+@3Oi!=gm zsksxh_3PVfPC1*sT8NqTMC9)J!gARcu6{x|#pcfJo8_I~vl6@M3PD=}qN3Uz9UXBP zWuEN9k~+=$$E&Y97GTKWa3m(MH>qx=ZkdH4(l&u#3{bG8p<-vb=cNV)$f*$H&5Ta- zeVG?3yn9v;mpxA9tdFIRt#QR z2BgO#U@k$I_++VYDOfhppupq=%iR(9vhzJiZ=%k(uyX7^89q(3xVR`JAn=j1#n^8p zUh&YNZoQ|VaWWw+0!VNjuhGp4{u8CR`{OTBt0wbUq)PRKUz%m;?%aov7C|vFqxE^B zp`Kpuj~@?JdCy|8*u~j5N+*rIyGzLGpM+?1Ef8MLHD%YSTTEEuGjs--3RI)d15lX}xV;kcDTAF|>Y6wGH<|y$apP+|o1hpj1=GX*?P|^zjbgLvA^xo3 z-0^X9QM0PMv+b|?ldM7=8$iP-q`ZD0NwMh_ z&ckBFOa(KU37>al0na%fSTe%lbxG|!oA2u6gddC5iM{mvmJ=4%`t(32Elh=k_%m#H5*yWXKP zb!)#i-%?Y1&L=1%W84zSIQ)c)&LAI^;jc<1Z~Ny*$5@$dq?eah&u(gi{9-}j%!N+a zf1>-NuWg>W(-C&Bs|bpU4(4g6Nj?0VNn`#JlbxMiXJ_ZlRm#@gO2^BM`zwp3h2?_U zmX?`&+pDD@kQA6zyGh)Qd?zU>X>kAkhd+P3H0E!q0xusjzB)5 ziN$_;shsEMZV8p%0>i?SeXs~3SH@u)gSMRpKIjUGhztO#B$^+sFm)ciewsSsrpGh^ zS85e7ckZOlfh$z9y~OmEfjd!C3%h!coMjvu+5~iwZ-TeSJzkwGV?3oHFGJ9}o%43S zH>>ny$Wp80^ip9_Y47FzE-I!gwqIT!ehP1L=*j*D(5-aK*!UjVclpf->Pf)^;px`3ac{le%(#eQ+@?e7^x`i5%kACzX;#o?SeplsI3Br9O z;GOC4+*cr_baloJ6~(^hD9fNkx~RWSu8mKy0~zQA=+e@RyZJbAWRSH+HfRfU#6SFJ zNAk};Rnv;UK~gRgHGMeG%tUvRlnage!YTB0V^7klkdUPJ2SZ_yPK`m=-G!dMvC1m_ zX&1HE95{9E5QDgiplvr0g*6L}ip$e!9Zc(ox-anM-C_6Kt&{HMgZbM`$t z5R)^Quz9Iv-^+7g!kE53z0Kv}dv6rBlAnCa=KB7LKC|5B*}p)J_hmJtyh{%|uq=xp$kaUsFh~r505>>n@o1met{llQilXpu$+=^X8V_qu zxvYHhnenG=DW`aV&;b~oTsv5|M^Q!qFe(ieZegFdYhUe!1(?%9*f_QJZHlAZX>%1A z`W#rQ_dIfc>jc`Cxo4$NjIT4A2|yotFT@{h@UPP|d3;O1VbAb!;~%Ygu4cFfbJMDB zKW3h$L{Wrov#S{}21#0|h)v0IZ<+#tT)Ckl30n{kAFxwFMuP=c6m~IEA$0~u_Hy)0 zW_EV=MM}Gvi~DG8fX0nWGo=D6cB5W=p>8P^66(IdtuPi7K)6l|$zMX~v&rfNZs-E+ zIO4ydi)gQ%W3;>lLpyA&i29O+6b>tZLHdBpMN(tXzbHfg88$wP0PHB+xwVLki0))A zslNdOi3AKJ{d)`6D&kUbY8TtyYv}?bHz*x;q^nzeRDP)f*vg3s*h+C+w>`ghlNMtBe1}m3_+}99 z4R>`0^-j+07vhM#S8I$R&siPl?KQPmaiGAmQh)EJ=V!nPWIaE}bmZJ2UZ7&80_+j% z>+J33J0O7j_|=cCrsU(-n6^mn>$ZO(`NEM;@dZeEKvUl+iP2x+*(5v5Y0qfhyJvjs zRyg^>>BZxtdx86|i(yCVbu+XlY!pNh>x85 z%4~?|q=UCLvQ+4&3F#sVJJ|#IZ#MR)wB#O-p(vY4wf!-biXq)2v(s->+SgP+FOL~I zjq2?!TVc5r03`gFaVoUJzpTOwE9F~Y(A-3pBDC28hOg7ywDFlv&kLMm2io`ArB1pSl z&y)^c!yyNb8@#~y0AKOxRnU8Pwd$`?b=cdjl?2PM3Hhe&D1K0_bK!^2fC3Sy(Kw*! z9@=Y0(A0;74$r}v7_{hEH4BZ?=8n`}oxBtchd}T`lBzU%6`eJevlQLLcI)m#pcXUN zMf?=@nG&Z;Cn(tAC&Y6k0C||2q@0vIn~y~;!WwT#PcskG5|&HT%=SY!g>hP}I6qfX z6chwXW83FNCGD~u?%~X2yd{#SYIPux9u<%7@2%bO{>lw}gO|V#Ub~1&zeW=c>Un{i zac;G3@*8bkAjju{#3{&hN`UFq&)%>j{7TdQicsTlFI6^1rL!l|sOT-I;^{A)Fd5o4 z!1p{D*kv?Vo886O4raND_P3M#JyyHZ(>Z)s#!UcH0+c`(q(e|lW0Q6s`t@XW(+u{Z zNGfgTVD&gPdM|K0ajX&#BweKu4}uruS;(zV$xI=S5Ap@!GUGglD~~6~n6EF#aJ~je zVgRG@7kLz)uSrD^=RLdbUJ-!5v8J@~)@LrEN*^`}vWAXoLV`U$xq4EP^^NbceWv2i zE2E>MY}Z|qt6WKWHw|lY6uuclMkP}DE}fm-l3{7rC(W_26MsH91Kg3KSDiaWpQ3sk zRK7XWdON$j2SCd2-E&wTE;ar?DC%%;v;SaseGp(xe3K#ztso0+#@ zw9KlKz4zPN`ofO#1#Mg=DGb12R1H#9bsim`Y-^E5i~%sIT#(-#pZG3g3QH6BHW81{wt7{6 zIyea4B$JF04m}20iXjD?mZj&>9wX*$$CE*Q!&Yf}gL$t8%CY2!=&=8{wA~xrmDu-6 zMw6JP{&@Hk7~2_SxVpWi!h464_+CXbtmJe8T*p$3JaQ>y4=1Qg&#vi8(j2yQe#vs; zO^~P8TJ}b1n8ugaDROkC)z|aS-1Mt>{5`c8u45t?a#U;5H&xzdUKX~9?JErvwFnIu zpM_AM_IzH{gtyqrz2xG^Ni~1+mr+vU`K;bI#xMa9P%w2Hd0?dcXC2GH**%*A8@UC8 z2vhpq?lGZw`em^z`Zq}TdPme~#-trVO`_bMqJE=SN1`$Dem z^otmqTVL1G)SM9tAuNxaW?HLxN7Hw_^9Fw$AS;p)aAvB(WN#+A;BW$DGMYv@oJl{& z$QAr)P(&n!jXK; zWt?zAufC~i0SJc$mW_dN-LS@@qPr<6DV-f1wbT3k{r!eII!w#Sko=2t5KlNS!) zkLiKo(uO}T6U8hFuv$rDbW}W-Jm>*6W|(1trmvx3(2C8!cNYC$Ji`9(`YaNJxM4p^ tD3Ovk7TM}|3WAudiokmQ3n$@wVM%Q8`KV{Qi{N`mLlvb`a{IxP{{S?8d<_5q diff --git a/dev/_images/plotting-25.png b/dev/_images/plotting-25.png index 3f6be28af1bead0fa991250ed1ffe0ea862d1277..d32724ef3005b8d7b7717cdb4f9a96b1c8bd78ec 100644 GIT binary patch literal 10118 zcmeHtXH-+sw(d%(q7(&15CjDUq$-`zR8)#Y2u+YCCDZ`YrAD!Wf^_LpB7#yR6r~0m zC{;Ry5=26i4$|Q+&N;8#GsYd`zVZIvAB3H~S5}#Ot~tN&o9n3_`WiD6HxmGWSxZv` z0{{|UBJhm#@E@6fpbq|1^uBV_+rS;`?RVSL9_Zfo_HcFgc6GAh_qF%*a&mW*mQa+q zAja?L?d{>EBq@pe-wh<(Jsl)Zp=tVICkH$!{g!(-b0O0Jhmc~Ux|J2!` zK!3yT%-uzKwj;Eck%wuMUc5067ewT6WZ?&7JT%OTvka$q^ggp56&ao(lpC9=yc7@~ z&M!3-#~fw*8h&41{U8G~H*+GM{s`i;ESo036LqcOT>Zhs2hGg`#NM@K<-3~v(#uLu zi6f?gvt>5->#g+wAc^R@GQgQdUqiqz7dhZ1kH-JQC5He^mxww+wZxgv5r0OOh-f!ckkZ) z(bV*IYm;=3=A5W#gtsy{rVl^{YV-lSp_y6!@87=#LT>Q0={Y$$(HbC%pDO}<)SrPe zofJ7-{#L-;;74sV+8BNjdyS-AX-0scoa$YsiCMMXuk3b(Y`n?U&q60A3u z^;*7_b?KRmy`lPZVf3>sw)r?Y8u&vyE<{sXQd}n6GvUjR7F?YlvHJS;>%M0QG69OM z!Rzb$?Qso&a`AmR4PcDYiaqNzROw?@>iBbQS6ou^26O`-D-%OQjSJj>^~nMHu#4nV z;6cyt@3E_&4oW(XetM{_t*t~|V?ZL}6A~V&9S3dJv|u5rx>~stZE)$*eL)dbRm-LXan$teaReCr%m^p~_te$B1Hfv%5q$9qa9sc&Cj8&K zj0cE}w|UXdE>Szd3@ki5BPp`6Ha3@H58#720DpLpSNupz3Sn(T&0DYVU0k_qG+Jeq zTwz*etbIdmbH~_NdwGIyW2A0VJ3K1UtZeh|NRinYpZSo<8Ei|=LCNjEYkJ(k-A0<9 zl${`%$THWq-0y(tE$o=??%;CZ*-WnwBj~xVbLO|;Rd>4V;;vtO8WC$&k#F4;u*yYAPyH18r<_`lKRz9|p>krk$53=7u^_ z+_iO+c{b+S`vKV+w46PGEWQ3eMdQ=PLmu&MQNhHlDp{x4i>;v_cYyeJ`1eC38Oi-FCL`E}c@WCCOTJ9EKyNwB0 zv+z1FG?l9pMz4h?K!5x?e(EjcXt#Qg%|!nN)C5nexgr@XUU8iQ=2sD5*S1%}Y0+jXJF2-j#J8MF+xOnc zLDEH8St>_;2LYQ-qSRxqUiI(2397@9Aa{1e{ZTlln3VJ?kw{PtcFhe}Hen*k$0w#3 zpy=p2L~=C+u6l$6w@g4%EGwf{FARR9^0&WDl(Bn4?oFt=32L3juENmVV#&nC)o~-l zMnal)`xz2A@F-Xh&$gvF6#nE>9UPfhJ@IK3xu6T*oXXa_4PGwAj_pW)r=Mr}4TZr% zP5wD)glj90Q=gOn!fdDCc)SU*4qYK`|D(d$h@aX}HPUw1=VsB`-5hfR1-s#Ur_bPi`qj&bH+9x}$!a6ph0nRq?5yOLvm+WF zBk^xc^iS!gV0Wu`1M)0Tj~q{gBilV>WjmI}UmwcJ)k(B;MjdXK;s6>2@YhO41GN^F ze=ZPh_#)wZUGMJEmaMU(Ca3zPd(VA@J;Gts4Fh)X<`uU$Pq+OjNjtl#54eje2h43M zt?zkv>SFg0q$XkT;BWfQqiu1DD*Jj!o@uwH&4C?{`(Dorf!3#x_e;eSFS4Q-|}fxsPN! z$zYPPJ!3_3k?41AVhI+nT z&kn7Q?5O0C<*j*nd(PsAhk^ekDaY~&ixQ2>8Hqd}7xL4=PmJon3vQlLS$_7>uGq_g z>_j=u1m4{$zaB6vo2SD$6)x(UdxxEl6lqb_EZ7TUZp6E*&AnNSWa?o;qxP#ZvW8pDb$yX+qW;nR_ z-C0HrBpogt~^fm4xm~{-Kbn6=Fs| zn#Ny;h^0>BBY6oY++O(3m8LOLl`hd z+(%ADh04V4U<`1%h^$-JpCxg6^q6+IhX~9L<4}jU@ksoOTU9-&RY8-d@(hH?PGIl2 zs(IzMr*z_@VA}SZ9N?U}w*c7d07(3}c%awy0dv zCSpmOtL2^i$$xN3lgRB<$>xMw z3lsLem^hurb#gg%uj&Vkm%?#0qf@Jb)1G1qa_ovi%?AoHdO=5jjZy~?QYa3*rJ zN2-#~g=|nUcpAny6mu2~9}NXLU#_oLjj@QFs`urV`SRr{yOEih+1j07PlW~|A6%XM zd3k@|&Rx}gJ}dL&7zf})?1 zLLSl1O|?NW*NV!^n?QI#AP~4O*gaA5n{!1SIc?X-mgizJ6@9G_eZ1iq`=KS5`;WM! zuWqguwG<0%k6Pcxt0`~faPYbN9-)nVa2UumTKH*YU-MdEs1}nqF)PtHCsvw9Yk3u+ zUZb0Kj*zP}k>-FpfVaK7q~-P0`p)}V!G&{7V0yfuB8L~16CsJsu1ZpE@SfmF6i{=7j{DP^{JXQSD}0296&RscKy@#-EUmJUf@aU&uraA z2Lpe3eejBgp*dhQ(aH@PUsGvOW2#xYrS+Z%D;+TVh~ZYyW1`(3$jQX~RDp$Pd?Fcr zUo#u1cfQuL{nm#@kRH7}PHb5twhjE_zJgml(yQOf^&Omm>-QfqJw=JWf8hF~H4q+y z2PI#g2}OLsP3pnaipy0O)CW9&i$b+_Hj_@N1GlE{(Zit`Lr9BD2#>zzr0OjO4^7|l zmA~Y21AdG!h}_)v%Co&DBJ$n$2(Ucw94F(FFw60Tg9)Dv6U9`Fj%zNU$ilul!xq$- z@L?=-bm<9LS$e=)N#%Ch^d^h29pC^A1?Jx$sR0&A)!}NzzN%i|BM(l{kuE}HI8;T3 z%X#bRnUiQ$o`xK~ituQz^yxStqY|~Z5S45jgExtub$(qd$F_(7pedkiZT0f&I(Kmoq2fW-gYFC@6#INukdc!Kf4LkNOV134Q7=6%(^&0B%79Dnt4che0=Qr6a5@bu!-Yt| zfjnl_@Q)NW?DBL^{PWH=xZNOPn&kjly1LIxeG6te7#W!G0x**X{4L$@@O$G6ZEaUL zA3ebHGwb0jEy&V`7OrQ27UqG&Xlj?F0d*PYeoS}-5iV36;Xxv{X$Nn@7tL=LAFoBO zAfxZ;WdjB4E#I>MsSv`&g}uPP{qSFGfkjyOMe;%{y+>-u0*zBE51f}X&oQ2MLPXcQ zr2Tmr?d@XjeuVRq-B%-6vfu~YZTPmDtwPhb6M)-x)~t|r;RL*c>*G%gt=<2PMbt@* zlp~7n($jy9f^XwEdUWa?u@#a4i|z_{tKi*@iE;tN0^GN3r#f?QL^Y26rc$Q|T#C8} z%3OTNxQeO#w}s)2W5_4aaQv5s17^h2U`jNr3GnGVnf>nFby4GY?e>WlXSFIPvmy*J zm@J=}o` zL(Xe+L;3mn7>GuGjg4LQ9qI1w9(Zs27`^+gEW_U3Ui

    ?Vd41Lqo^5bQK?~-kzR( z+lI(fO{2+<8$&M7!kI*P_MS>8`;B^2NQn6Oc-~%|?d8-fckbLdCoaysI;14P#`s`m zBjx;M?h6{uBdT_OQ>Jj}O9kcS#u-6NPZK08@(DVL&h_`{^7Hb3wr5_J#SN6csAf!v zkI(a(Xgwz(VeIPq?tc9%CGW{sXLJ(Yz?;{qEjnN8s_YEjP3sL^yL3wOM&; zPhOnpd+L-A?lYvVOQaJ=*x6T`tadSUbadQut}l%X&GXVwe);YrwcLuHcA6)%EvkH# zmYbzl2ff;~Vk|>8>|vhEKDmwfAo3eZM=bLZlC^r|a$McoTCY`T&B@U1#TP2AkY(q+ zEv(dzJ*$g(Yh19BShsz~ZjG6wcF7W)MW-I0uJUGT8(Cc5^z!=#`45FCyzCF?(K9G zRFsr`$dF=@h=hwnxec0 zN}YZ*HtH2w*2JZ!7v>q{J{r3nY1*w`>QkV{wa?qXD?<}qF@?_8)s*KBn<-xfLbZSLrijEp_}* z?fS0>hQ>FH??(>`Mdj3@u8EJaIrr})ErM6OlVx2J%*tK4zCTGf9+_ZO_kJnk6w_01 zEB8vovHr*-KD&Q2bgHqOul$%X)=D{)m^! z&6{s-e}3e&xiZBqWv!mgw>;=YXy8lSmJ%w=JUB?1gmI?y?lQK_xm!D?|Bd6=x99s| zYus)j2Etbzi32-3=yYXMxMh0weFc3vbF{E}N&7i3%9vc?ZsO_bS>w)`U;rLIeCU(m zK2&MsUbj;Y-S6|FUMX%s!G@PSGim}pN;3dvFOPYAFeG^UrnGd<=a?Sz zvb0Rcwx;G)z(9O!f_TTZ%6GQowQkCEZ92-YFeWy(8-Af5x^dGO+1%37{p)MQQBKZW zYpFMbgXYkCCAwJ0boMp4_cjkP1_m>`bN3idw!b)ancJt%#Ny1(YSHtiW6a0I&2mJG zsxei5^Ttxg4Q*_)P6qxtzw^gIjmXRzx zauJ+5LTPp=x=;6zlqU!phia?`)Uk05_w7^Ub*g;#CkR2rYabT~UYvFU$XXOSUM27LzW269#>THlcIN!{1KX_T z0={B6CS-{nPR0#lH)ftjJN4r*BXm~ZUG9P+wl8=fm{)GR*;|+M#}xvwe>6JIAH1Hq zlEF-&yjfcE-1kYp!8?y(GV_P+@{5h9^%1$ZA zp#k`$e96;k-f}9=z*XpC4uobsm1P|40<(ior~`nU9*E{vF?0T;U(dDuhSzVorQ`Q^ z=rF~3B^{|O&5i%U*5+G(siC{~kz_5Cj@-XEm6!WrZp5AgbSdryN%J(yy~6K7+Z!5v_1TkvOa+}H z*YV|P$1|>dI+PnWzsncY?t7$913{`-nG(Q_NI={N-S*S?<_sal&E_Xx@8Vd)+MrM3 z%358@=tZ!*w7Z3gIw`hE!vt6aB+!+k^izMyI7mmdZ&hfwDGOM5LDal}gil2UE-USL zqv=4%(!yu#i3Ms4%;TJplWB~7OL~hecdtmJRkv+P7bg(zw5a`q#wE+e&(+>amf7bM z&)+-6t_%luj6;5dl!PSjO{MqwCfd4{7&yPkYd&RA9!l!{+^$yp6p6Rxmi^Jpv-?LH zT3bc~SFkeZ^}2DN6f;*pf=``?%`5jpoTd$lF30hc3&Vlfin{Z*kc4sS13gKonyxQ) z%!f+O4!NM1@wVUF60t46JS};+=)h`1x`ahQ-pWcRRzx2Rmxk7Hy-$&Afn*jwWR8iq zM<3Xpb%(}ONKNJ@HqSpeK-E4;(G&)b#e?Qf%h;)S6IY>n`IZbdtKiKQ{h*-gv)5l* zqgce=6v!sdS$aP0BIeG@EGR*K+tebj)0CL0Wb4U4oS2^5$+p_m2pTzU(q`-!;__~NeJql;2KN667s+sT_1{D-zs zaZEfXa4vdx+hKoWI{`o5)Y#A3p^l79fScgsLJVFAW7XcMz0S3l?`osLh??zM799mvwXF4ah9;aE+>kaNOars;Y5okvi_se(YH%%xXC zWqaZCYOU@+t6}SxPKjZgUz`&qytl={CBX8>sl%K?P{q;GWDb&Mq9{}^g`18`%0up_ zA<6_UQ6I23YvepW8Kb%l6~Z+!vrhgOOIo9dfSsZ1k)ug0q7nx~aln zzx1KQ9KVWy2j)icrcZuPs3n#Vp}G_7!NjlhXGBtE=}Fv6;hkv{sHY5^hsu=8u=(c5 zUcBn=&45)SXp_)4dC?(Tw}{+A451I8PInv5&%!UwP>)|_@j-tq4{5Rg{b#Y+z*fbM zeg`s|rjEh^K0#(pbf%>FY3sg8P5&YS<_CxkaZ?O@aRU_g zOkD_;cNxl^7cRI8A^-Sq-yvqU5!)`De$+T>!fZ@)m*8uE3P!HPED)BG#p;msd+^|Nza3P&ldflxrb;WW@yEwK4VTKdFhj80C*_5DDfkPXdN420XGag(FBe_2&pmJs5^J}(eye^i?_Z-VSG8G#_=RS61?0%`|8z%7p ze@mEqNi?wR(=quI5|eWF4OTDkDf^XrviuEg?F*>&uV4Gov^RrNOaWENdewBnE z_3nA*Gfe7^kX$cM=)gjZ#2uAI4f0d`d^X_EH#F4LNqFgJCN z@;lipOHCMD!N&kfPAqJS=D?2`+!8IYa6#)bpA>^CllZLxG+h@Ie`<@J<4v!YS)io# zi!D&(r&$N-UX31;Oc?gRJUw7kNkRS)%Gz%R(bCHHaz`XDmTxsj5VoU%B?(yc>3&NH z-M$PH##H6Z&1~e)2qdsFtFug&ZK_s?;y$x4x@inwMJQAbm_dmuN71YKsPN~<(p^!L z*AVz3sOlP9yv>h+w2RpKitV~3>AwL{Iq&i8{k2#+9eTE+dHi*HpnP}&Rf z3uUDogF~Ab*tRaVrsL$CxTHuyAHI|!ivuf63*2YTh)=rS=$oHMuIT~1dtb$kO$rTh z&|{_t`-{Tm(1$)6QpkaaFET+~dVb+CtNe-UUrR)kc&;Eor1b>aiv-;Ri6HhxSgoC0 z@ItKrW}h1JYspJrZjIeswMAK~L)m1tMYW*1Vd6Ne+g#PX?l1kZ{a`f)d+Irb!~25RCqH z=&S5D54ih7glZ9zp(@r$1Cc6Nc(S*pmREu?s~r?Wdletoq>}upNmTWuRG!TSmTL$F z50cmifuwPtv0u%-fqyk&MT1!uK>#CLLMf0S9QVv(@(mKpm-x6)^OO#(1T7H!Q@6>tMDANqj(S}th2j-+K%{Qo%6LK1q7 zPRn0e@wT_K6PA`XXoE$^SxulU*5eC6=FjYFtl}1xhEJb9Jtrcf4^Oy2J&DlS|A>`z zTWWunzP{y0_J|f%kOK`=xEIC59BIk}{zsuXGanx0be?EUnornmX(+O(NDySxoo~dg`6%v;5jW1N6Uy$N#wmK=nLsKn6O*8j6J&}bwh=`uV;67-8wZx!?R zA8L+sgcI=R-9P{GpQRRRK+P5di;R_qqZ|?jxQ8 zf75rf09>;D5ht?GSbzQc#c_yU_Vy>*@!!AuBI!uk@Q3i6%RfK=o2Om=r9%Ighh!%A ZXq<)W!_7l4-iH1Kw635v3NKmT{|}b*8vg(Q literal 10134 zcmeHtcTiJZ*Y8Q_Ac_j|NLT3~h;)!5f)GmRAV^oh(0eaI9u!1SdM`pk7nCYJh=L$B zbV9QLQbLg`^=_W`{qEfPX70@Q{&{DvGnh=yKKtyw&RT2#e!sP%bdajF)J)V61kobY zl=UD84!*+Bl;q%pz%khhKBT==9(d`y+Ijg}d)Pu+)?RK-u3kQ#a z&}~7ECthA|o-)G1&i{LWkgJEi@HHgK1ek=%P0hp;g3ck&{$QcLFK<8)4+%o~u7O`B zaXQc}$uRG9Q}~4y)6;lt{l$W&msCa4$@^P+BEPya-*XRD9Puwf}|91$#x<2Nt(Un&yp8y)_ie6?|=fapv~D9#Tr^k$3{>E7Vt z)Q_Opa-H@#Md1Tpv0>y(tj zrlzLJiajEs5Rb>Jb&^|bSHig@>4wX>dEsk zj_QtA>=niq{wkh}eTI5^c->HWI?5sphV!Tm@*}?iq5FT%&!d)yi@oLdN!%`jA6_LU zCh~G|sT5{ zPrjCsQtq31*BIz~Zs!o{*1v?#Vxs6TUryJAR`Vf9_h)D6k;^1!@X=;ixQ9x__VJ#c z>7=%6m0e6?cF51ew?(h*`sI&iL-(@i*@bJKY!0ngnDKcpdCaYFYhh@F_Lur~m>^dh zQ4U;wvS8fqdjHmlv0fn(Ut)+y6|(N9g^^%&oc0+@deJRM_{WKwccY>cOluQI%jI6n z3TQYGYTGW5<%aP>XxnH;4J=kKq{VBwm}16|hf_^jdcoet1~Yyub}S-L5?8{%wODSB z4_rsYFtP5hPrYk9n#g}nPx<#vI6CJI1YNAOjjnb|yBe>JOg5^Jcgs~cbSid#B--N= z-b+O9t%|U(w+J}Ty1YQDL=3;rA8x8o%yQacGWKNUnPrzm4zi#++xxv;_CQ z4z|gw>x&@>LeDFGEBIiRA$$y1)Mb5AZC-_UmQCtJT)%P+^s4JPk12(V3bq*gi*I{!iQ zWRKbG`}U@2~$-P?4&j8Y{-!nF|ggZ^m=#RrVRPH5YGSW{*02 zuFs9@Ky*9ZU$KaUo*c<3tI_ZFk+mVb(2lYB&6_4R-HHJXUR_+Zmti~iV2Z=kR>U zWVzo;N_w~oJQvg?rynQ3CU1HPM;G08%{D2Qlruk=ULW5TH{gZdRN24U#*x?^qcw!A z-%|N8l0mxG?c_@%#=Q=~_4RsYnMCCiB^YIMZwB@`+il}>kL|1e&@}-E@6WjXd38Y| zp!&4-+YU9gqTi}z@b8Myr1IubLD6%5WMokG&dH(OhgQ`KOHXN>3O6Oen4}bqS9083 zTxl8x6JC@SiZJw|fq~j(?$m2TQ)bDQF{IRrkDaFZrvob{{N3gh38*=l0-ZMf(YFaM zEfZ!)?`dzAqi@1InH+L|Fn{Die_hk}fj#^ShUOs+$M>Y+KStoEeKl@AoJ9V-av!?x zx}>-CXR((noKBiu*#|%n_0`oWbi^ht5YcMdf@ic0j0wwNknBg zDl%x)z&PXEzzgcF?_(d{6P4HUpz)n)U%cF&+L+l55FfI%W^F9c16}<`-1l~VU7L2N zpa}i&)?60#`!VVys4AUvV=RbV=#ahotZi6rsUNZ?*rM*9$Z`jTaR#*w57KduWX_v~-lwI?p-*wcp2sgYku zZtxcMd{o|Ix;)hBbAA7!aC>B=$fKUur>wqi8x+fV=CVsmg;=XM52N@ji zTsMJ)E4+a?1VPj)oD6F2YG~DDkw?0Sh}c;u=E&o-eAOF$Ccq+dA&#G;Wg?40r`tUL zga&l_myAKfk%wr?vtZHz9eU{R;g?qz=1w=-^|lsjhd!WsQbp7?H1st!UmBG?u$Dcq zRHnhW)Gg4P4qF+WK!!iL4^#ZolfiTIA@}@zT5!L0=R526YPWAnSdX>Ob$wFpiK`TB zuUk%Me3+C4s39eru1iZ)`(M17k?bDNE21-(=PQ_F%F2w1Ug5BY2MXBAs-o(!|*A8){>p*TjFQR+@Zk1hoed&@@;oabu%#vpav4*{q zJ+z6a_5@vSj{Pbmy5eGBOaS}33&V-<2}=q~>`mR^;vpbOI0Q7h`y^Iehlj_(Wkr}` z^YK;={@0-0$Js7$Jv`@YZ?7Q-oelyKMNZ2E&Mukp*uN>Sim3rK6!4v@_HxJIXVUPa z^xTm9F}D+9@k7o$cZ*hq&uu)n&yM^416x{NnMG>RK?yC-uQg)hZbs$5{^__TNZe{ml6OGDlMf<`Ibs@J0v%x&g zhvi;N*xCf>N#qBqrG^!Z!g196Q+J3AdhWfLg@5#F0tw@w$K!h>J`NQUknoCJXzumN zk^R#5Xspp&Fee@V4OR7=pz90_z>kH&RSp4T^@s>OE(}acSrfP}o*xKiQ+V%Nu|2GB z_M2kgaAnjkYEI!4EO7ij45xkP4`$o-v|~VF&VFJ7KW15F@NR_{Dyj*nxeAk7ze7Mk zf9q?$oRHWrE_C7v)1rseZXZ6^&Jm(zb&#b(t4W>s@rmjm{JKFvSb@VX9^={~66!;A zkfcC=xhjpP50!}Uy-Ws8*7cV$hWwcatBS<@c$I=wm|kU}+|z+_83ZsP#~4MN&m}0% z=Q9I7U0ly3jmQ}(Mh%If;>8>iiS&?DWRwUYsC7T@pWo3x7J5Wdjz4!yBH_5?GC|a| z4C>H_fS?1Ax3l^83zOfBXaYzfGya`E)XJC0aMn4&+*$qwSK*{{wV5nSKVD7T9N?md zo@-@wH-E?4x%4+P8SX9sh~^FBNEoiv!viBZ^DYbi?LN${XR-$G-ie^10`}P`L1tn473%(d z<@;y7^_g0IXruCza@o{e}| z^-KVE1elU1vxM4Ww&R%<#%fCG&rKr3bO7rDu|y5ciAF?3EDsgFlJQ=~STqMLtyHwu zvQnWbbRjfl+8uunWi}p3N#ijy&zR9NlYD|pqn5F`x1ll{qoUUtod11txbBEU!%S-& z49D5>tE&w(QiMiqQ_Q&$4I3Y649(2SY8=O&5k+9iJk$`~HT^>52&?bZo2`BYOW)bx zy4|&D=HH#XLPAD_T4x4kW&y;Ds3_gTU813Z0sZezINh|()3$-Wl{=fCE;Dq_#C4W6 zHJO359Q0+)wV$mRr7xKbKfmM2DAZ=9)96Fg13VMx2=wgi?3IV*B_;S>BEcK~s{B~+ z=1oHzoA26eKoc-iING>J91|B8cNi--|Kjn1+cad4DX++(ox$}?K#EAgFDz(C#yONA@g6pMJy=FJXfYEroB9Y9|7zo-HtIw?6Dlt23R zA^Y|*c*Pdl3ddew*cQ|5vj+{0&9TqfLmu2TtsbBeZlbF^B%foyCJg=Ph@sgrmx)+h zANN15mmO{kZCx5Fe7@=~Bk+x*o8OGF%MmB9o-eI&!hY2f2xHZ0{@5d%n?z;0GZKKa#5rEvw|w= zKbH1DQv5f2W4=b2UrG+`LnLtX-MDdYy3yA-AfSO8nfX`j^G$%IdHChz%&%U(+TGJr zmem{6kR}&c8?d`tyua@k!zw%KlUbzm;6c&Nhqdo~73E^Cirz<|P{6YWUoZ$bbw=?g zB_+w69&L>j>+^W8jA}_sOP3j$XakkXz|O9q!FRnpC>mle&6+(w6LJdL$E)%ze- zc^pU~<~XW(DUf1V6#y>gYDx{UwA(7nBLZG~W7Q~qTDCh6fan&FnQ0DmJU-ZY69`do za&e7>SQr@@9h!}*j`#g)IyqQbo~$Va5}VgnuVks}E4FU|ytC zc~VT=b>>d|MY*@-{p{#p8yoEx9Ep=P>5{J5L|)xR*VBeij@^lT4a8c)cAxC}@XBtd z0kmB8Ma|SSz3S)^ zPa04;jY^H)E_*9jn^4^XnVjZ|pbp4rPup@mJUzXMHDk{Xtb_P?cvL~&Hgs@sAnvgR zZ|l-Bi51=53mh@TTb@q7a~iaoY4UFXiwC(}2;?s=kc^58v+=H>hYtyZcN~Fq2NrH{ zcKZwrL}l$Ge+w6va=ZTQx4jvX0@BhZR8&+gnRiTdIGT5oy$H^48vEnpFJUp5Uy1t2 zV)JJ*^70nZjKb%q!}rI*Oa5;vt2i*D_xen;#a_D}F4k{*aNy*^xln69E0(@86TQw@ zP43+rquw6Mdu#aFQmwC7+*x>`*k1(W$(Cs!YG`ob@5`7QPLHE_0VGj& zD%+k<0l*`YTfj)o-ThxkAU5)qWQMFnl((RXe%pQ9swgi3-e3&7*R-x_CQ(=LSHt$%5AVv+H0PS4Ez7p{1;b zi*y@+hjAfPR8*Gn*yt;Q53Hman&vWGFg;AV2prN7R zQqxx75D1&$3QGmTd#i~8Eubxd#Z7^^Q4@L&BkHDgeE^l;1t;m5lO-i5FJB1V4<|p* z@h~{0EsvQZ920p z_`)3Z(@E%jEWd!j&|F)%cPFbauZW1Qu>u*O!TsWfIJg(q$6u0LWFTj0nAZG=6KTPqz1o zqF^goA8NF0;%?P(im;^%A8k`!wSmLTR1og;FPNJ_m7QLrkDm1#A}7@Jy^9CCQUL&D zoD$4!yhs=C*^g+;1y`H|1QLAKlacZO{3}xfV0`nTx`+rqmKDIxcSLLoChi9IJ_|!; zn?lVGmlhKyg&FYbBn%Bwhr)oa_8+ldUR?R6-ZpxGWc_PN+p}Edu_;VOHL1 z(XhmQ<=CC|^hoLpP*Flp8?UmF&Iz-J3VIW}^8nAEqx=3H!|d|frF9yRk~h`1(c4E` zX1f&OaP+lFzv zBvsZCgAH7ZV+#Pd9in~jp1(b)il0vbixGYU%|!yl+TfdF5qkEh&b$)!^jmE`E2zm~ zA0|H_(5Q+BeMpl&8ZidOD|(gA1VlW|xb=ZHaP^E_j#L**)82B=n-D*z=#{E4ySgh0 z_|iYbbeZ$oT_(}{2kWQFKI^qvHi+sovTRXV*~16hrGc7?8zu#}WPQr&<0+(AsG;SXlE#xwCIMSo1jNRpD*Jw; z{%ko0cJ_+*k2)t~NoX7#da#Y{&o!nSCXgf*`OsYIR8Up*JJ0^8g z9??YJcR%A)G4jEflViZ;#emIIKXs`4PIL99UV96)5?an;fP|Mv-)7i6dgQDcMy4&# zhsCJ1{)qt$@CrS|Qf1eR30zM)`OOH}9{~mV9ur*`w2cn#1?xZq95)}P6T{g9H4j!r z38U&lgwT3f`o0Myl0onuYxKqu`Kkou(Co7NK=HJ_e3W%H#2icfFQ1L4S zlY!cc8~|HjP3hu}$;1bg;hR6Otg;yQADGm?fTZ(QiVXc4NWC<1M{B-%KD9)#A{r!2 z`FV4oRu@t;@#KdB5M`<#kwVwTKvr!%6#$A7I7WzKXa&H|_NMKPe*Bz!r2_;kLEzXc zLWs`Cb0O7`WW7PdL3w_g6AAMhyP%MI z`*{43UWP>N5Kh}q`u;dA6Q}o@Q}Trc56|4SfsI}&la0R7T;`c6I1P)-Ic`fGZ zqfzQ#gY7=oag8OVAY@-lINv55NPv>V#iPiJkg}#}dfJ7J(T4ysWH3rY3N_xP^-UG# zvRi#Q;R+ukq@i~1w=$Fn4Lym#IJ|;x3TZu zqJXmTAKv?`ZjTt-No;R?!&ij%#@a`Q%!ax?JEEb%7G~dWw1-QGz#(mQ?G(1qDf*{_ z`MuFRbZ-~>#25GbWi$eQUOa!YLB0Utw$wGSs_aQ1a{xWbwEA7vm(WxaIyTE-E>L7h zOnmIK5glEXMJa^_Lb$HZnS|`Mc_tz>r9Qhv#!(IKo~XjQw!{IhDs$pTh(d=0=QIRT zeFO~_q+{i~S2U?;sTF@U?PZI37NoV~K~@&SeFKA%YF&~Fkm4)kQ*Pmj@iwx$Uipw% z&rCCZF((5NV&0&ZV$r=C;>Qle^|wW80Y7Mq3p&i?+yK(JtinT$dtY1}2PD+O0`l{T zl~ve+;g;JH%Nc(R{>dEY?8vroyuA+Me#gILT`{iD472ErLj zxF%bKm`t{qH_TrVJ!DcRhoup&&gysw>RUDL`DyyU+b`HnM{RonOAh2i zIO&{FA*~#tvntrRY_E8t@~$rQvR@(PWb;CCgXuxV>1}2MScnP?o$&N-l__Dk*zV&T zsxVDAj9bfzr>cD({w}0>d(siVHjQ5@)L6`3SzCuqDZ$WNAc`tlCGz1QjqDH|<;}jE z!p3X9mW|fg#h55Ne4;G>D=d%~!o33UH~4pyiOUCD4N>=v>LF10QZS~*ftq79V}|ek zz31t)1vV4(tg%4kc>ey;b7?DjdbKdL$?E5dzzh5JP|#+CSZIs%i0AGEKFz+8RhR>a z9Ws3Uw{3GVpEQ|PC-l3&Z1jhH(k9ErD4RBpzWgcX$X(+qoaLQ-rVl+v*MZtwz+^Ro zUr=nFUtho1?KduLu$kVeni2g`X({|d&!@i8x4o^ZE2DZ!PtR&~V1Dw0WdYRSbx)$- z;jUd?$|NL+4w9qpzs8oaQs2L3w#! zq0a4FSa{Q8^{*#ezX`QzWdP)%Q263PHfa*{m$P;PT@$|G{cmlvv#qZOdc~#txMvnLMCS1mOm4^l&OdaYJ8xfEY&S|DV+B|7&cJ4QORi*VZ<^fB)HS zQPCZs&`iXV;@bb|MPM>-^cl%hiB3#SE&Bf5X6M)7JwR$@lAQM;7C7iA(0*)hFR*Dz z*a1AK2sEwm3klU`QlpJ^K`Q~E&*eU=<8Oc@HxUcR<%7Nw<*2eUL53?=*nY1k3tN^a zCekDHfErZZa^L`N)&fLJ;b;Hi{5+qqaK-M*@87=%D9GnfB0xHLB1?)M;00{9elfdr zF*^_m^bWv1|EWkI{z`ytFrBr|y!V(_KO_A8@`p~%=TD$1aN^Hh21897yo&Yo^&MOH ze&xS%7|6Y=+I$l%AH*UAS_1xm%gcXjh(c>?ri&o}3tpaSZp04_iMxMSCd5I05B}YI zlKTzx5dojzMVyf$FkojP!?gs+CaTTO|9T}KZooI_KtoB+c<4q7254WUB_-W9Opt{t z=!f~aGiGTFbW1?*3Nl<<>XGXwun$rCkYeJO?ruG6>u=XiU4U{01eN0B0HE14%sr*q z?iQ#h0wM&(agc>YHgFAx)|ooj98kTx$IgVd2M(9RBo|OEnG!c-1m5zdRLJ>)bv>*u51AK}K3Zj(IOXy7mB7#5^ z8#U6K6h%NfNbh&}&OLXnd)K-@?ppW9IY08g@0zkRvuDrj{XBb~+%UM#%5;JW0KlrP zb;Sq(8u*DIFdTxfL4kpK_`2YA)!fV29pmL=f6o!<+k4?%+`U|Iw*|Z%?|I_f-Q;C1 z$jC_vIC**DJym37UH?}D8TWfwSwREZekgrk=IHIrj zqw&hFZ-3W2V%|v!`P*+8+>W;1zI})(^oC6K#qUN)KOLN|?Bw?LSUK4mek4=Z15niK z_c~J7tcSz-+SXThtuLoe`ohT?G`>c|@o8N=m^j;M_!t%VfBWRPQChcEa492N$)(S( z<`_`F0=1Y|S7#Hv(ZFBvVCnW?Hdqv=0UT$S9$2pr`4TPG$BW6kwAb_ zx4*mK+?uFp`R?9$^jo+H^Y$zU6VIdrKpGIjoDcv|G?B3A6r9F?!_P4nE+9}ACxb4S zn7}yRxs#Wkt})Y7-1+e#vuivZ1|pP_8ox{Z%+H$gzS z3=pu}V&9877V-HQ)5BR#TFP6f5}H5HRp-B>_BRc+JLvfX?B1OKLC5~8QOnUt!tV!j zmAxxHR_-ZWG^bxYKKlsew&`gSO%t<3<=#Od$vM!)^t zbsh$WQ8h0FNM{Ckjsx3OeheRkFoyqHpI`cA0HyEKm=QL&t4H+VrHLa^?0f1$4c7eY z_4{+RwMLkU&8YT{du!CKt(HLeb68m=Zm+Jg4vQX>tCy6Cd-Epd?_VIyhyaW4p0iDD zcz7&~i7MTe z7jWXJ5$m?D9|3F1VNaQGI~!d+bVxX1?yPyY{CwQ&g}OYgf`T_z#vHNnX@Rx*jXQ(> zsXSsH^9u-;X8=TAaxNr#b44WuZ5I@L0CvV^X7NEQS^T)kwv;Alb2wanYVe+~iJ94; zjP%d8Q^xqMimvZxmACDhj#<(ZbQyhZ_RX!qWgPC@^4vvg^7yt#v?Y|GzV%0FC}6pj z>ER{6wSH`6(5~O^jP3r3zd=9o=Iu@jidRL6liK0zx)(2ojY;40bTy;fV27jrxHOi7 zLLHOKT3P<?WQv9;&nl-gSL z7s7(-#Zn(!@?W3to@h;?Zli^d+!Q{-Q#Cw1oZ8e;#PIMC)?sBuYjt%3OGg)P^NoSw zbTt^Qcqyho5_Ihmj*qR0QkI+Qr{i9?nWN-7K>Fn=)^Dp3T?1sYD@|0qTi(;>=*!z8 zxW3Z>FRRivzO*Cw63_nU;6TzeXnH3_VF3M^YV;-ek~NuII(Nr+i3vy zK`L(T+1J)%Zy1ldn7w+??sO|QHa78sXAaYz53;$ftp}SHsPuc++6_?^9d}&5wLI?| z%N{cHF(6Q8rp{r#V{pG58Hbk-1DT@Y)_+1~UF4lO7>=kj9X1~tnurYE*%(z^7E)wl zZp|*#Ehs!`y~4;qLj!1XYX*~-qWEQ7i4HXQWZ;ih`&to;NRO1DGG{8&LVJJhV9xxtSBxUuhooj-y%$5)mc z>Mse(-*{b%9;j@txKUOhu=CiY^rwHW0g=5Ul%{i}=>z|i0Lr%d7gKq!20Dd@#I(UE z4Hhf+cn3?WK6;B#{@gN6>^@V!H{ivtm+Vw?nvzZj>blzP+qPtDTBJspN##pp`j6*k z6^aoAez>qBQzQ9NDkQ%A6 zFMf;Zb9YDOXh1+lajU{6H3@5KLL2I~<%R1IKI+FKz;KcQye`T3AT=u=tS+?kGY*cr zyV5iFSVVuxp%OtrIYE6{x78$-(xic^l92DL2uM-3H$99rdI*4Ibv0>ju=Q?GQ3_jv zOh}Pbc`k@%LIRStb0N>pE#n5iDGE_Xhg2Xj)hx@yMffcQ1hUz9u<`BvAo*@tS*o`PK^1P)B!x4wCz2=*3NKWGcxzyu4(|kP#^Uw3wkz zZEXihn=JX^bCG4GPFld z$GN+|MIVVtFL*i^=HY<^)<$YF@Ko#JyM9(}<@@EQ*Rp8icXk2>MFh2F>VLEhAlj}1 zipX4lLqMl=jO0ZNy(9P?|~~%k##~)t|}@dXkGywws7PPS-D@m zMHZQ9fXo@b_<=$F5kZ1of@*K%6hau5-KO#_+amObu z32sbdQ9tpMI-*1f*lF0NO|4JP@-x)^y_f&4-<$LG6F@-tuisl^uM(CuRJq>-i{Q>e zWJL4qvQt=1Oj;Q5JpAj?cX}Apo3>J&np8hj4X#G-H;~0b3fsy5OWM1lkDO-z^N~P(?Hv+6zTguaGmlm0sJj& zu7Z6iv?)M_)!kip)@bQL)e|s!hUze53nnEcUnVBGnuXjNu7-w0gP>@(=UJ>B1v3ALe{>T7%HNhr z9%C+M2ui7(+#gXd1Oy=XIL4zbmVyjQG=wnoJub=(9o_7>r3rqNQ)aCyD`&;uq^@SHaC;lWlm$aMN20GRV zlLRe6XcPo_F}1v<@BixPq++2FS1;6US751p#poJSpP~C^I;mVAK2Ba)ToOBE^t*u_ z)x~=LM|x@fo(hiI-qDdsMeSRoHX99vwNX1i*}MDt@@oCpMdvOcNMbY~`ZNp;9`OaP z+$^?!XH>t{UFx;9GW8GYx`RWOgoK2`e6ZxjhnECROic1KG6a88=>%#Ys>zmJ{Ft4c z-E_|>V-uo>@yW?S8HX!dTi4Ei7UQ*@F&Ca$^-Ikqla=7C@~f)M`}_MD{by5C`FK%5 z){c&jv?ymB?&i&#?H1I|;o*{(VuoziQD4UrRqo&YIK8MEKir%ZSe&(+{JJ%}zF7Fa zk58fFs|Y3G0L{LlBB`rc?N?Am?hhM&R`}PlvKpCme_M!uUV2~Z$gbbmQdQl?FXq6l zsobrVPQ%rx;GN60wY8RY0q;`%=imJk;8a;rkyl-9xw^V~;=Eh38rAsf)rabvzmLMO z({?3@NF?sK(%!8oyBbxZEVX7uXHsa921w2=z!83Tu18AlBPx9$*zN5zdkXd zJzEtmEAN_IO3kXMxHYoX^LAxxrc^g(IB44yj!=+&5B&HPcb4t8pn&Sy!boZ3OR==| z<+Qz(T)(}|$)js(5X)uGSI@{?T>5lWLQ1Nuu(U4m_18zL8_5iH|Iib{`TWkbvrjos zZTMXuEd9@E%6cs>thcEy2+#UXw51g8?@XeEstq+YH9w}Jc&k=y_~xATdwDOTw+3|_ z{A(HckqrB)c#Xt!4c?rKM|-#QJ#YaANPY(h!SEc=7G3CB?9QOkMl{&mkGU}?fTgA7 zEmPB+SV=R{Wn2-|+hm2^2O4zXYIh2doh_MB?i}{`0n3cAV4sBqchjg?98zas6LnYm$%SpG{pAV z6D`E7!jfto-8d@Yb>`?Vlih~y)+CdrXJ=QG+^OG|5#65gyWHtC_-oI1-JnQ@6rY4=(`1r!IvU4Hb zo4Wh`omF1EM*Dm4~>U}g&YitZ9xoJU`Z-3lt ze(jc2;tYOxeB~`DD(Wf?-gVv`mklmM8yG=?2<<;tX<6aap2zQSD_60yvJyJvn$ZQQ z)B{kImg0y^zF=i%>v{%YO~+Je}5-7(W@b_Rzt=A*AuY{p9LFNI1Tf+hF>oN;VEkH zUb*m8Wv@-=K&A8Q2YP<P-HGL-7g7asfm>dIld2=_+Y9vzgFrxgY2#tAdU9{I=cGZgdD$g+ zZa=MCuU!zSdee1cD)fS;v4ur`PL3$&@#8vjCpi@r6!Ii^xkA3uU0m%l_M1%cslavS zgp{Oad>V5&d1jU#+D`6#{eBRys<)nqhzK;#Drqb70cBT?rN#*>o@ucZ2Xe% z!Dxs*%HU%Sfac>h+jp+Jx3>_sGrYL^3UW+|WcvM|eeXOcDeG`Uc3HzPa;c?%vsJ(3ZTsytLr1O^1x1-`KPBD?h{eQ@gLLzk;w>Ug@PC zb8&I8O2EbLe*tN9S0*p7|NM5aqq6p$2x&~w2}yw$UpR>*2xMr zVPN#^UKXu#XPJYMMop^+0tv#$e<$pzgJ{xGu@)6UJS~D^Z=9orWl5$RRj#HRf{}~) z8Ly>P7zbqMUT6CAw6}_ZhA<{44`B)^j6R!3-UY@iFsyR>!h+im8Z-f~pG^d>!w@I_ zh2ZMiKnV@`hyOzD)@RuuLG8OvPTx7rtTUi?%}bc_y|)xv_hq2Z$;;48RI_0EHmuJb z0!$e6zY9DGA(U)QB)P8)`!9$K35D?j-tLambod4}7Fq;|A>k7g5!Oc| zJ|7s=#jQUFK|}|PNnC1#&A$)m06gbGqn!Zp|Q<%>=;Z;Fj08$0l%2O8O*AM1S}cp8q>3{wzgc%LVxyE zd1M`zwmh)EVvF)G-WL{$4dJaDeCd!`xSS||9Wn{toZQd*%ds=DW;X5ckn$YNreGoC zn7Ci`_lZ12Vx&lxsW;7}tm_b=>JsI#&r7POC7wBW_#`{5yT$E%-edq(q&<<)emQO} z)b-~HLwnpC;hsxzl-Jh2B4`A;yQgRRO|wkRXm(kd$CW6~Cs&TKh11K-744tW3Jk=k zxLXkCbVjew9(ru=j5}8h#>XM#yAiaUG?G_YX;Ke4`S3t~Z(5cdURAvZ5P@)g9HeP5 zwY+=iNQ$~EL@n`0o+Z9+`@qlDU_~ngp&`!=-jkuZ1p$+#E`m zYoLurV}LCFoEO6GlR=7HA@WVK6aG6Lhm>uQcz0JH1WDJK!8Iva!=_fntO&$Lvze{7 zne_prfD3TVvFTWOiE`Li#C~4s`NG|2{O%B(A5;`qTMoR9T15bq6Yd=S-mlvbQ=<wXqacS2LQb{2D72uWuFK5JH-OlHiEd{rUQq z8MfvKMLIB0G{Dw3drl|%IRnso{P7Z`QREpIHU9eYb?%;3g2aQK_7fuCH?MmFn`HO+ z2`V-l70Kt$D}2j>_=>2_0Ae5&(pr$Lx87jR0iyAooTA86>Mk`$1Ri+LMo+Yyb8sh= zLCygNn=NLRG=xw6bwiPB)W$M2V<-U-NJP2M3OD)GoM4CARrZY}`S38*k#JZcA^B2N z@2un@8t!+)Hn>40+^|~W?hA7`prPN57%L<4;X~JQ%8dsqb*s1T%9k9{f+*D}6VkOs z3V{hO8m!iqQkb4@^VgK3Dn{WG2p}$RAKIVewe4LVAWmR*c8fDewzIMo=7KefZpjz2 z`rlFmC0RM1RMn_g{wyE+@+>>(9k2}V_kL`;9@nm2C2X0RJPY4284ZmKV6@>Yad zrNy#*V|tWAuHK8M5w2#)$hHq*Mz;Le-9;|g(fPuKiOc0#4J-*yzrsouTmKry*YW5t z8mJ9+X`sbyoRc7*chSG4itvCum_u%JgJSo+2TCN$AePA8T%L6P z5K32&pWi-HTJKgvs_w(?=9(*+^zLuRf5GTF2o)A|OTxByT2___zyi3(2~{eMC-Bl#E;F%~HzZ-?Ix zS`Ku~CicWWcY{G($bzJ#q=}79$(JwJXeb=F&rKz{x9|j+a5C$BkVXRK(qKyZr1rCC znD4zCOPGuduS#5}Xo|AOrCw{#XLCjYkisrH&BH_t6!~`jz_V?n-EhLEt)=qGk2f#3 zXl9Z=xw*#Nva%|yuC8X@bAzcp7zw`;J^+zEBY|&+{br=c$H&o&YmlOUp>=1}&)?tw z7xUU->PeSh)TYcQ{L!Rnh(YE~1C+D#%jdlEh>Ua!zy0WK@A)73N$zzP!8>F8m3JCr z>_=ozu}PkICR+BUE8=VR<#4?SgW!0ovVkuFvEu_|GU_8VzJ}ZqDuZQF9#RV+Rjjf?E7ve- zhKC0;{=tjKB-H?sUW--<`Vp|;o1-g=8gbLtP|5UQ(IVXVGus;e%OgL(aRsF-%JAw{ zpR1sj8RS2&CT;CYFaJG6?@YrD)85fY9-gonmKErkTDzC3HUrPxv1BxNbh~l=>*)Ic z9Ns=v`{gXmOC3f4trwnVCnLYMS}reb^au95d-nk~`gu&0V|A6dAhPUE>Ax7Qf&`S9 zy_?gM(|@?F^I$4(_s8yAe$=p+2&qBfElg`wc1N~Qzj3R5*PZaQ;3?)OK(>s6g=cL% z^VGCl@u3*TL%W?rZLCa7RXFW$ZA!LBGfJtax(rj~=vRZV>OLr{JoEgkS0t*27DW-} z>Yn}no!~*+(B6;3h$O4w*oJrMf63P`^o|Gz=j;ux2Cu4hUa`IPs%~2ZaKn@~jl_AM z4eUM-&xgLlhbfEgklFe#mpc8=OfK@1C-q`39rN)&5TN($Y%W*24XF%@AQsF1rwK=* zrH&ily!k>nzqnX`d6L>YvcKm8!Q^7hI_tl*Y@^I!LKMt$Ag}Cyu#GWDQOSmsQA9Ub zgk(F1z)Wvx?|a{61qin;{{1G@pt4OrDhjC?g`5A!{yJ4pg7Ud6_WP?sw(ttX@{-hA@500B>B0DzfpwoGP7tk56+4|e6h z-6umrT-BJD>{5(fwvLvA2jlW zjRe?EDW`MUJkW%9K&s}904e0)YRFl&{~NTI-8@K4{(I{A`1pLBMn>~pg121A5#X#+ znYo@kw(XXtW{7ZpZ7mui?tG)s|Hs}F4=|t4;UnfegFUf literal 9346 zcmdUVc{r4B{O&U|wva?3StgN?Eo;Oeg$9KfWUUxuFI)DJZ$(N{5(?Ru5W{3Qm6B{3 zJH@E%`@VA?-}5`?{Qmu&>zwO4=MOXQ^?KiDp6By?mixXxPvliYorBE0%m9Fcdb--i z03hKdg2==GzXs6#b@1z)_eFDW6AwpkKl?ilz`)+y)78Vu|@5;NdPObx!K+ z8MKqPx2Kniw6xp*d_caKt3w+*lDG=R+j^b#{bxycAFRp3JneNwJfYj_EH}U!nEn! zp(d|d4L%fTU0d0)LM4y+!?hafk*wkLbkFavn@tFQ(9r+2OPWbh&1xbtjHu|=f2-;U z(2D?I{i?O~o89?`7^lWq5i%ALlfeXtZQ4SIe}(St1g!Sqtt+EG$e%u7wxxN?5sAAx}Jw-STWJgnk;Y@&JkK#vH2t9Pw# zFSx+E$}HckfOpxK4p7t{BLJXimI9DU4?Ni=p#_xT3IH*j>Ho*e)1Q42;D$?IiG#DN z>orTu#KonhGW*XAl9r|4d@VpMD+0_X)a|YmiHnQJ3fHU+23C$G2QH7q+xAN`Yf#^^ zz<-Z_w2igAew~YnZkh{)CbT2L`VVWrUzwr1ODVA#hcMee?kIp*Bg)eGHs8bG_aC@< zJp&$f!Fo(g_qCYsYwh$53=DKpsj;+4(5nqVkd&yX&akKXmoHy%)dn&=*Od7T?M#8| zO;$iVDJdzb;yZ1=w_=c_m|I?M&M9hGYR*NxRnG$`I&c;~4g7vNB$5e%KuA3AU!uNF zLopzc<#f<%$B}?fn;Y)Z|CZnW-+nEXb$}l5BW_bB{i%N&cik=>qAUEV)lL;skZ1h|+4g*KG2;LyhoumW4++@ul9E|Z)%zdL`WsvH zX{1z7J$lqU5;QYIZBIx2Ihbb6l#mcv$TlynevioG;-(OvlO{x%yyh~Jkx_l#>zwV) z^v+*uo;B50yh>8VK8O%40KVo_T~`SSN}a2He>G9D#oZv}nwjtL%FTw1WPy&f*f+rw za|qUG03K^$qdL1C8Oj_S5>O%XptrNDD^qZ1T&JIee|qQ6oomL%Y1}qIOf83*P96y+*1nVUa~#ZJb+z!;x>?$4Ps`mLJI*4EaW>wlj5Oci_( zXJ;C(7)$Q>`sDaZQRt4#k1hIe&HJB+>yI46C;Qn?X;>t@cz&}=9KFE~h?=j}-8Pp{ z2)WA`r5@jlCzrl(+d8dGcID;gA7AzjVFui)x3wlG&!U*aH5oXNM&1a(JuxlM_(WGb zQQ0U__OtKB^ba9B0l$0)+{jJu^GZ8|o{(9+{gV24xVReI-B7*IHn-T=hTjtuTN|H= zOSs|WeXppkykO%~PA$0p!Dg}Q>gkNDr#nMyYHHM;Wm+6&Vr~99KJjdFvbk+>>7mUx zrumbVfL1Dp*B=V8Oe6@bHc^W4$^Mr-YF1v7UHj6~qD1>_AEZ=)2UM!i8x@B^R7ZAF z5s}3SL3|#~FK4jh?@xVaLC%jXfIp-(6y(**7}|4@Tj-H?v;Mtg0Xff@k;q}cQb0MD zj8B9fNs4G*Um#07s_|5Q_vjIG%jyS zWQaB(&aEuJl2dJzUnrrQ%VYxaJ>8Ciah|?S|ClB3?X6j>%&Jy8g+c{OYc?cW637xA0i6u|&7zwK*jc)8)&qIQqvh zXNpPkDGGj)!*Al*FvdFWh4T35&Y!N9bl<->HzUwo>>wsKF{x#II@hEHsZKQDJoTz+ z;m@eC=@(Z{Va#Bfu2^tzR%2Otulz@3V@CDQQY4=;MMF~6$e@uKE(@Y&x{Qu&!$EG{v~<-tXLh?~-lGh8-U!xom6L*202%kKU1Y z>e)$X+a_o*W;eI2#?aj$QXVhOFD{N+A9-r|tOmOxJFv43uCeIFe?(qd|17z&k(KY# zCXid!<*VR%5COXHCYJ_&uuzE$3-L4!s3dGSyDR21AtSW_k;~ee+WN*(0n=^Bs2{K4 znAK+jbm@?QqcHOeYe-(9V~sa0=*t&sDS?W!m6ZYuIzU5~XC8rKY+kO7K~IrDomHJaM_41C-tu@kzyqe?UDm0^DBc!e#B9m1y!6A%?>Hxuk;!$r53L z?10@%)h{tT)G=%3GT0N7kRuVI1J5aM`1DpuV{_ z*fAOtysNQo@J8InFNtuE;sl4`e8`q?ZnvU>EP?nb8(i6^om0@_E24Xm4m`F{c4gac zUSi}Z%KOgBJUv+ghlj?$d1tfqNaU;gA)r?_w07d&P1K3UbO?~%-6iry+1^(gWry=d zovMf*;Uz-1XD8Hn{I7~xB)pz>6H5sQ!!FG(|u2S(gUV;r6=dU3IG;p=fORtC3tM3ZBi z;t5dBfdmiS=4=S9d;_L{C;BxXN!ZVeG;=xT9h~?}xSgN0y4TmDV4AX%=?x`#czm$t z_-)rOPd@ZD?l6$afCbrCKk@7rUy+D79RYvsVbAit*!XySm2iEdDK4Q~m3D&;uoCt{ zMz>J8&OeoNQz^}?pcT$L6^3~AjjZj=Xa$$<)BgfXmyN}dyu7>;YmPHXDqYju;I%Z( zU;oI*xS4(tNprg@=KAaMGL$+MRRi20OrH{(B{1x8*K9q=$LV7>@7!tT6;M;#zl{d8 z5~0JnHNVbCGE)RcTNQ2wfJi`;=&c(HG6(bV_mH`8f4OuS=zvw)2i#@sb7}|lT6DL# zct*O88!qgY2B3&IyR@851KYVd5ri-}qR_8jj)R_PyDAQ_U~J>=NJnvluhVFnSqBhO zuaut!BduT*)xnxS*Vc!jg*rG;BRR?WL<2gotm>(8qg|Q8|EB?qZ|g5alG(uzX?B_P zJw&;Ezq}(|`QxX7x@V{UAq@!9l6AFjXx>#i4A715I9sFN69XMvUrbKA;tE+!CrU7jSKCx+#+y1+g}*+%D!LQA!9X!-zk_!VElF z5R}{5hI%3*Go4kk;07}oDinJ^H!bcK<`&#iBsmyq0W2=uY{ z?5_gXy;R@5{WyJ)4a6QmlrmR_1KN8H;*(Io%EZujs#k;#0(@aH3GC!7*_xi?KA`2a z8gA|(C=PT$hacm9X$J{@Y6H&~W3s=wDVdkCnJ^QWq7N(6DL)Fw5StpCo>x}7;=;6P zGPE4sdS7}FYwA%n!yLmz2N+jYOLnA*64)yrtPvbxfR^g{3PA*g%}cI0qBa^Re_P6U z%nE&1*Ni~$=By+_#$~pLl6h5qeq!1J{>mT|U`z8qM6o+%5L>(P)t4(m2}um+p`q+f zdvk6IA}E^EtMqoK_34)}@V+@66Xojq>v_y>J=+adVqI5v_hi-3PT^>CLi$u;m0^|N z9NC(~m_3DaR|oQ&#=&TuZLq?LHj-ltui88X)n6A{*IjTuJ8-r_^h6s==&;wPy>(91 zfyH(m!HKLScWRGqDF25sCue6Ww{6hdlcN(onVCBn7iVW2)*NIOF z&T3QN(%)Nez;q4_#x9AHG*$9h&8{@aPvoSll zHg|{bzfx<%O4nq-P1MPN?CccN5;3xHl@Od#Y!kKk&{ zE}n&k>-lt_#b>6h$NA$u`u_L!;WM!eTuhI5YmY0s{Sg@n(DX95veL50Ca}Q0e3-#)sP>ny-hl;ZBQbU+r;aRx zlXWC+9ViMc&Q{H-&yfe*qsBVSd#F_EUa*TxKF-K!cn3-cW#;WPHh$in;18~S)V+YI zsi~UZzi-S@!cek#XEvq>KC}%K-+Z{%WV=h<>T3&eta@EuzA>6qbAa>IU8q)sLXo1{ z1Ae}gc$5+fIiSsj3*kz^o8BHXY>Rkrz}m8qU7xE05{-AsHA602q_v2ePZ zkd779ZI4Lr8w^(YsiHcYC~j$im79+zOS7`FEeA*qZqe zmy~q8$oP+Yc@ej+!++vjY*VYbl?;@Wy=}Z66;7hiXR3SR^C3*Bl~K@ie;IbJdMR2R zE?icvH3vzti+Ws2CQs%U)l%R14T?3oHvedEe|z1%!lBor_Lf}iMN_y9D{tn4bOeLu zHK`0>;`@P6K|^j_OpX=z#wPX%$Bnqk5uBctHp znyk# z)#cF8#lL#N+Y1eOg@t7E_8*r9)X08wHU;LzTGDmfB`>9{c?Z&BJlktfDk>_%#eT%0 zf3!~2z-ZVUPk$;kep0YGk~3Ecm71A(u_2m&s;-vMaf*wZ+vRtC`DGvn#bm0Q$ zFs)J+CE9Sr#R#@tjzC0x{pQM4ncIM(gQMg3rSnkBQ=B*yZDC=Ii+}M(tz=6LW(H?B zx2{T`sZ#e}Dtgq8E0}_jruc@pm$%67zw)Z)YOlMwxhKVCBKx}>tvY)ZkI#nLL*9S!R`C2s##%upWwSH%)9=F>Gc8CE zIozTcQzBG6HPR5@4!)xsmq`;OMnUe%29eDAQ#M)<#69XWiVY6zfbZoSx6Li6=0NnR za>5gZpxB#a>5d(IO;1yGgGgo2I4%)wV}|ukcB8)-Pp;gDFu(g^KJv=mOG}p(Epuw{SLDr zG!Gu6X6VIUS#|%!#D@v7>ap^A0;S%|moG0vkYU*LQj%nSl*4r|gs|$G#ZdL&D9B0s z^baV{uCBH^q`sb-n3%X+&w0gj-j9bdbd4RLBg2S=o1;k{%ez~15|WZn_yK=cr|^d7 z=ku&61c=SBi%~#Wb@cb=?HAgG20@&?{abrM%899> z%>2RpU zg&y673@P69nlRK=APz1zyDrg^2(N@uNFbG8{ZpTXjwXn2eHB)_ymLVa*s*tHC8&Ku ztbcxXa&%7t4M|JHc2F+KWO9mRec-`OSRgE`?-rMol$83;SPqP!8~IcnzpeozNL!p+ z`Ji|(U}~of?=Ie1>?7iCFM$cc%(28r?$CGig) zJUFaocKV3149|33DQTA^y|R)pQJt9yDb3j%N*b)!O`a3zPfNggGb|+yZC`?F@8-^2 zC}w)={qa=HOuxe?Rs3E#-{4Umax8~j%=pi9keBmZR(AcQ!We3Gz~kWKZ$B#>58W0{ zfhw0cq+CasC*p86Mlw8|u+(@|oiX=Zeb?FLz%Y-*X>o%~)6*8D%jl-aO-5_5yV!*@ z_9>eYkC}EtP$EV~FP}T-=q*e9TN3y|9_l6HG0c!L#)+9USN>)dV2stVeq%A?@l$yq zZeP%maW*xjehhzi2ndH~o${hdi|^BDdPt*Xitj(kpA8)yVMRLv17k{cM6>aNyuYX5~~<-eSK1bBre*q zBeO3LSov3+lQ`$w426ch>3)%xgqvRn!A(t|VWppNqn646>RX|#QX1+@p1Dk8gfFzb z5X*{O{C0R>0FhLod9?De?MCoJDI>4+8ZTz>9S@V;-+;hOe$|YPCBmwX>tVp|_gpl| zO>b=mZext4ifU#}V5Un^+&%$C)j_r81T#zKBj%2WjSQWXAC}i!DtTGB6SN4n*y5uxIqs z%<9a@7`Dm}E9a=YFN`2Lrg~*_^P>!cW9~v_va(s9l-s!Q$Jpfgj5D!5w?HAvq2)E9 zilaON5HpNS9V(HlGwE2c+uiNBxg{aqta6Na&>Mlyeep8!VmOqB?rCmb7{;uuj81jo z1`1IB3TSG-&II-kO7Sb(Rq>(~D=Qf;ZCpumtl}je1;WL-CXDLx+4|2OJ#xj-J#Kw= z(%2TtZMssW0G;cAPdd~R%_e6j&QWZASO%)*rznPr^%@vqK}!(Bk)`; z0#^drqrP2B+XOb%r|xY!ux_jw zR`L3r+z$l}c8b&TN`hQSWAn%ukCMftifA^n@|^en7G!H=pXHO824P(0-WJ4`5ZLCv zeH#W7cDLC?l1KBg-BQAt)AS$M0j+wRsM+?Mm$x~!==PsxtqZx%uy{JVyLbEaSmUc+ zWONL;w63BMq$0Wvra~bA_BfeXr#l8aH9yV8J&-Sv_n*P7sgcnMy?qWjTeD_U zv$Hzzy``mQdgj907_GNg_f}R{S9`f%YoGT>jl`S`KNX@8`ycJnSc~gP-jgp5Fl}r! z9%d-K1p#K|O851Z2F$L}zocpB-pABW!=8K+*lH-11$35Qn5{sgd|lNb56?mVL(*Y#U3}uqw{hb<#9SfqibPAf{0yQ1%jU+ zwX~QScHjS$Vd-^lnhqU6Yf9O;$#BTJwCD(NuUd@#UEd>eN50bN?7`Q@H`gKXYZ|}V z0l-qJ&BU@OA8*~^_vhe5vQkt7wxHII(-LRBGd26t(z5y6c4=uCs^(T<{7dR4V!tgK z3p*sEcg|T`XLV_u{YY72sN`%t#QZGcm#`txYMl(>h6i+qi42mtD{@Kh!?{3_!0e4Drn8 zj`xMy5C8aJfL&^cjsOpy3Md2EI)!|lq6w9-|F=A-Jw`g2`TRKPp>vHQBnN226*P+-(v?=RaH05M2Vg3^XJ=0)^x;T0wjXX3372M zDbjk*aLaUb9y&Wam-6LtDbn|HG$2 ab_KtAYD753R|debf!;+!?LsZPd;bkSHK0NO diff --git a/dev/_images/plotting-29.png b/dev/_images/plotting-29.png index e58975b6e4398745c5739aabe18de95ade92bf39..7ddfb97fd67a0fb5c2c8cbeb66ca9fcccd5b2cfa 100644 GIT binary patch literal 6886 zcmdUTc|6qL+xMA4m`W0g&{UHx(l<$&WMs*ZDO*a}l4b1s$da)Xiee-!mSUulHDj%Y zQe=xreXT>;#n_jzJ;%3xzvp>g&+GL(_w(0%-+%ag#`#?5oNIYs@9R1z>OA4hR+K0T z0I(IWqiF~L68=Pxc{agUC%U5ozD{^+UGz3`v-2idd)fkhYj1aFH*aU+RkW|Irx(%9 zRq@b?Lr3J$4&L7GUMdO-F8>xdHPz%Gx?&^NPO^)!!ID#}yc(__p9TYnKsk(@j1v*QC+WiJYHLII&ij zZ`eKD8y-K?|EtI=CHw6{M}gl-iJbr(&In^c{m^sL@VQG90YD{s!yTIp;Nx&4bO%{o z5dPef1|L@ZT<{t8KSiH(sJ@Sq(|tz8`LYA2yCR&IgI!(he=3?)mcuF|3M z`S8_gN;dB02Zn=T+o&^53(3fupZvJkH|vbAg_$hD{7?}%3x*tR`>HUb$O(EYlsIly zau3j8-0G+qWt|)xi`grI6Hh|ELa7WD@7@V=Wz>-)T?_=luJ( zGiB0-BdI4S5|ppCUc&UY{r5_PkUB~zz%MdKsn!)8!Say#pMuIeT~~;s#!$N71>dB{ zPE}l~@GomyUt7&osx5O@G0H3tLQIBako)v)(vMz$#S%1_dO;1CO{J}?Qv7w;Db(wk z*TwV@%d=0II`NVakuM)2z&`5~YPY8pV&XoQchVzyt#J?8RuK4kebH(eFIgra7Cn~7 zUH5>%XQ1*)&)W>%9f6sVSxnum`6NW9qIGB|H?aJZC}h*0HF^s@V_2?OGx(}L)w_cW zSlHU>YH2Zy0L{d>|M$>8h?&fNuI)c-z?30>^_w+N9z-zztb#)auFV))q(G;74h)nP z@NpuzK!|(Q)|OB%xJ+%4Rmko!9RGP3xec6G?mBr<^jHH4g+6g>tCx)!4+;g4Hg$ru z@{WzMte4%pxI;scWZVeTQdSx!7D&4X|67_)%ou5f0T&pXuFrUxJDrR?E&)@G;@q!8 zoOOU|{WJjl$A4DiH6qvq1g5(And?~&bqxfr_lj4HvBd;5a@WAX@3G%xf+T*EvqSLT zfTMC8>M)Pc=AKcnG5kD*YpdNCH--L-WH`SqR4BykVPU!4eXH-0Yq`!Z~ymUW#15VIzTsTN5}fl&n6=sQd3mB|K@@K`<*46 zJ%vrWwzkkeE=CsytL6B;1p#Nz&?zaOU&C0g=40a6^1n87igSTy&CQkXaXgF-mAKxM zk>vBGlc#BVJE6g?V=W(JOwe2Y6$c0BE@>fQXnfKY>u0;uaTm`6e$kN;Lphk#?w$n? z{|w3IF=TCRA(+Gz4%Wx$qt8kMo`jV^8Tm$Nj31Hc>Ws98*);4PhUVOABVa9fr{<>z zb1!**wCfVPMh&7V^dBM$H_Ifn^i@F<#%um0Grw-Y{2~DykJbtof~wz->%$^?4-0R< zAPB+@%^uGVK4BPDmMb&+vjoF;LIJ@$cn)r;@Yp84YaX)y3{|^?_HDM=W_<>MbFj6= zvltMa+5QXW7cw+U|4={qe0_bqMF3Ry;!KB=>o0`0HUjq|BLm;w4wrxY%lY%#nMDW& z|Da{vgBKPFh=Uih-EH`Iuqbdk&&!_JjAqJMeSE6!+JM;D1|zsr?~d>iA>_qn`llEr zG)fvohG)ys-gH5FHotx%ac!>(9EuL%$hbZen29rPd{Q$SA1RCi`_f5nw6yn7%tY(v zZX2BOzc8*Ng1t~aBmoPJ(n8nIYGM8Zf?PnI#zc7{PJT9rXo5vp-t=VB0rX z8(zG~87K+Xgy|P&bRKOUSOCRt-%;?jK}EtQU>^kdKj{%}?o+f|4<`tX!)Ii)lzK3X z(7&o;3brx)^bE9klpO+CCZO@1)z;uyQoB7973`qyK>3 zZU3~nuF=P4Q=|%9$*t$)2zx9jQ|D$GrC7HEL(^>$tME8I${s6wiE)Mu82);KlKb`> zTx3*^cG~dQa83Gw@!1EG*>EsMs1k_+XNS8xJIp4weQHELRee=hHlXke&WkQrIp|cb zK*6r9uf_-FS{SYcuM+jGbFFq`zr}2?gq+c^>&S=qwd6YoawxOGl=77Rnavob_3x?C zU$r)uc3n}{1_!0V;eq1Lw7?+JTdF-~Ron0ZQ+hAtNmpm^;5@LZqv8$T7G5r-s^GaX zF^Na7v>cF_3D;8(*}a>5V1&T|Xcvt3yR`39Qd%NVbe1ST7#iV*@aqn;QUj<=dMrxI zZziEQwXFAYfnx^1%Fs5Ws2=HYq`lo$4hVnzF?D?A)?wnJJF!)gDHB+qhz+iMZe2x< z*$r82#cC6<%du3LV?kO89APqJ5S1`A4Z7zNuNEk-t7#g^4ORmy7{TYO^CgB&DKLU< z{`20Q68VrqT48Npnpx6srp$VmG|tQfNg-B#U~o7??OU@870ZOau($ExwNJcR85a^3 zS~OnKZjnGXw!X~4rwA$yj-BJ7D|1wyJ6UPH2^@D^aAoqwIy>9+s!79-B3&ZN(|=c2 z2A>Dy^m5;XZ`rWA*S@lg>8u7~DBx}!!RJc+`?Bj)GG~-;y}WCuZ?BYu`xYq#QtEGp zx#;0a(rx1c4}sod7efySV_bf7M92>BF-iR-NNfVOKQv495n}g5KriN)>;1aAK!}~; zCgA*c@5BmEuU`WIQU+$SZzn@x!(*!OrnmS2xe3;2skoFw8>AKDm5}f;NP=txd$P>K zfu(eB8Wg;&mw04uTM{1^IDRvF%LptG`1n96^#J|H{l(&&*FmN>0uXE_t!TyHV7q7P zlGEu62r)>I^o~w6)Cgk2s1^c-fb@ z06JuHhlr(_jB*vYa9X*FojrLTnl%n58*1HT2`-l0Mm=8(DO5**4jSFKob4#1&_ojG zA1HHq=f93yHUQ+p$+o;BoB26~gj_EJ2Q?Uq2g34coQuW=eZ>fJp#}ncHq5hV(O1T= zvX=-~&sE%*C}OqMlLXLjU|dhY_7WB&m3*m;vk`m~N_jLGKpy2A&WNGmvLWjFswIha z9mC8>EdMT6Sq8n!>%P$4!nJdeussO!D0As9jOEckJt-P>iv3An-;Fte#Rv53InIlx z>EFJSp|+wv+S3g;6oqYy05yO#a+&#KtE`BhOUMVCO+Y9AOL_)#-2zpUBD5kxzIc}X zekWDAXEK>{gG^&NFI{SR7sfE6YfWy(***8}g{&(p+hP0pRrA(+ml$<$Q6YPxQS=m^^ZG6sJxaTM|qPafNUK@_ROw=t&TUMYWNX1^JM;fXd#r&end``$aqhdoIcU}RQnFQ_7U zHW84V$l-ST47VFbj*hzXiU$@jm7z%D)KwyTma57{E`&!mq~j2QIPXl#sLV{29J@p@ z0xd0F_#5?!dO^#QEA<>YfDZu>Z6$fLbq8CzNqWgDON3V6WR8-2KF%L##sj)9w7ef&d+UYDv?7OnziHGj^VpxHg?w zxTsvzH*Krj3H982KjlzDqMqBEzPn{i_b`l0{84RK6w@)Q zGBQm;Ra+-cF#W1*dmH!gNNwQCj1gF7*OZbxJJeobSw3CIJKDWmZ&q>R`TRr>Az~X- zVI)WK0Ti*hX=kz5^j3vPX7TW@S=NTClAi9`br zkAnH}&dk|a?;JBBQ+@rEtSpPRCvL({HFu3vr~A2{TB?oQKG?;~dt>-mMd?y4V)1>y zc&ujA$(d-2z$q;gQ&Xo7I*~m=s(4Ajm%gZ=(eT%=U)NPr*%RFD^H;(H;n8oGNwnPD zivjaVD;|pWy605q+Jl=K6Am$s_x*+7)Oii_M_2dj7e7s zzU8!*`;5)D=qboZ+#Bm~%4@6Irk0ey=eU#vGP34pU44D)%RENbkJc{x8J><(2fz!Ahtd~@aww&+-S!3 z{n`#6ZwpbVL#e?QOG`_cK{MP|yA{FY`?_O(>#GYsYfD3^vtD7`+rFi)-7nRfD|YS9 zdZcLY$m)4J`XxO=R8;inwNJ6Fr*4Umt@2-~aX$L!Vl|Da)cjQ4e|7GA=iI}I?$=UBIX>V0qi#Gr;EUa&|x#8*Q_x;8-2B6dF(o#}q z+S=L}=?`am!?tD7>BbtjwtQ)Rrg1O%-QE7qVwWe?(IV*!Jpt#^wPSRLYa<<=R7Gri zSzd0&!OizI-@5AP_33LaOhz|Jt`I6Kc;_SCf6kFO|{Mey&>GjCb0Rvbz*LAP892#t$kN)1gl%8vXHg*?^K0?54y&-uWa=xf9$My7-}pnE!_+eGFK~=s^h6F+fn3{2#rvcDkM(*_z1C-Ai8^Z zTal9~)8p)=*S>RaI zNa&*_BnYNKgNU;0m5r}Gnded$n{Lb(ZX{~ZnIptn%7H1E7atbJJE1#&xK=DKH3d&# zwd)?La)Y&?aVN{xcVXN`?tQ1X?m2Y@qV2n$!rOlA1K#=v@*6BR+Y`VV;Z|D=fp`l% zb0o8@?2?a@&ylD?b1VV_`+KDf4$}V_l02CV8f$y zEbEOCg$_e%?$>wI3_4)Q7#K#~B!e(tR!@#~)h!v}J2cZg3$s_(qH;@rpqK@K%C87F zfDBkZUflV$r6r9O#0q$`#IbS77cqK`wB3u=ib9){7U-B^9eK zwsv+|xw)T77$5=9eHwh?D%83<-Nt0BsiIxO`R}>rbA1te9Op)1k|K2eg7tFCPggS8 z9M-h|^S<)mmi)i3Hvh|rl4AoV-*KCmnPu(OxaBb1{LHN2>P?moIF0Tm0Wf4Y+566{ z#5MVdq9V*(>Z?~r5)u=~LN_0p6yJ&?!_bCzeTdqT@aT~YURGNAysK;OGa1(N4dx&~_ohK632 zm7R#H1)M?=fE>F#le(UL`!-5-ZSm*0|8K&_ebP@kd1>r>o~ePsmxAEe>ubwC0|}-n zQw1=Nz7Qr=(tvC(25)u#f3Bzh%f#?MaFza_rYlbKf30(X2LZ2Fw-*%^Wo2j2igVy} zVB5;$H(e{$mS?GE?mv>jNC!N;P{tGM`>WaJp6c`EiPudKJbNhZQvvO}*x%Y@?b)Jc(WgeT&w%JosTr4RkMRt$+_;ae1#ScDzhK$x$5ghEp z>M^GTXsCG)$3hftuzKp$6zmHeU0n&jX942F7QlZMmavZ3Bv!$_RR2+#9E-PRFHQ62 zccO68?tC!kH+k@Y!_gWLE&pv8pfW!?dJA(q@Duob1qcAn@juMT{~MFBgF~I$pYJ4P R*+5SKycR(-_q0{${{Y#RZ?FIW literal 6906 zcmdT}XIzs@m!E_lQ6ffE1dK?RrhpC6AT^+&BhnR75h>DwlxqY;MQNc48bAzSP(ZH~ z0R=8t0BJ^w0wEwEgcf=)JKWd%?%ogY{&x4v``ZtBo@C~nnN$CB=H#9+L2olk7zF^> zjMvvT1po=ZB1pX4@YRX!sDQ7dJ~~!DW*(P(i08eW!I|?up4U8luDM*m`Z;@fyLh;( zC>~WjD3873sPUR%@L z|M3_j(9?XD@oBP&T%#64)zO#Ofm1Z8lEfyE?sl19kkH)PlC@n%ko6!_GPhugHZiO%x$37Z(NGSSKA5=E0U|JN)M-}6O&rlio*r|;Gpc1=b6K)guP`(Sv zNSYY0s7A}#A!B%nX;rSthRxax&4Hs-E43JB%}2hv3M zZ_>Yeiz74B5blkcbQ1nkKmCXtIa&2iA`08}`)fuyr-YWgSoEjhJ5Y%2_|D>G!mY2L z<68RFISJ=`a4fsLmIo5&f9WsLVDy`~v-2VW5oTtY*m;L^u@?=_SVeQ_yhC}>EWX={7gretvC-2?t&HmKbgf%~|)K;?SLi60BsV}pJf7R$;j z`A9@!ZNFWPLA^x*+1OOY;JIWrWw}c?ZJ@WZJj5Kz zVfv$HE6q%rDLbJfg5*sxIuU!!Z-#;tQvT&k(;siAso80B6eMp^cADQZDh4Hj#MK2Y zJn>muEH~@%hg@WV6EUU4c?#0)9{J#C#580ZKb;*< zU&0nb=g|Dd{E4_8?OnUvnZWd(PJffE>jnovKc=P;OB?e_0|I=edBzhsf*bqqDja(7O^5u>dX{0zySmh zKVMGO@RCN1lhyeq_$X_&dq~b0;O{;8fj$P~1hH^^dCYwe2zml4A8k^Mkvcs=5znzt zFlQa*AY88EEEWLe#?V(A>68C4I%&MD37Vr2zH);rrBUE*U41-iQ*bsgeg3lfA47j8 zT#uba!pt`(7$CICZ%*zF9OZvSI&NVqDYMHK=0Ja4gRiS7FA@ciz2Up5w>Op{yY`+c zZo7p|{}ms%4qS;*^?@eDdGU)5w;e%aFo5%8ysW8n=Ej)0WvSX0PA-_rWcia0!=3F! zRF6NTsB1lIc-FR8oh!yl<&wU`dMO)IIVl5p<4vAYx9$td2Be{<0PFcNGA^8dl7iHK zuve=qg*zl1NvbTFv!)faKqU_t7&87G`v-1t(nr6aMxcMo%yd`a(1a;~wF{6{dUR@G zc5I~WAX@vc1bF$|%s!VDf2iMUmEYdlRO5_I0NQGC(X`kdTH|uI&EewkTj?19+dN+W z=rHf8g$=zF(HEiA9TUB#^W%`p?d!WTn=)L?UpA`@oI6LOz9*v6eGLq{Qn*5*prFh2 zB@t9P`CRY7|+*VU1`17UPp&2|UcCJ6TG z{=$q?3Wv`I^lfI!IyUU~cvHv|whJ;QCQ3P9hT-q}`|G32dwTT{xS`o`gjy zg>|_{v7<0t-bIOK-r@+(CT-{7DOKYM6XgQ2&G~5s{;wcHmwvd5rID;X~kr4vfcd6)> z&f7C((Q5PEBW*%xNes|7@GEMmsDN}SYpW$an2b9}QVpcb$%EKuVq(|ev3^$y1;nLK zI+XScLe}j`wm;f1Xf?=6e`fM$dhnLj85AdyWMHh3BkpHj?+ePteT&>Z*d~b9fn;qH zz4W0kVTj+jecO}}#m3b7X`5zJ5#(@#6nU3BO}HlsaeZz4XkWNe z_sSxDwtblpi<*{jODfPYy-h9otuL%)w!KV^LmL`bs_RC!s&5Wlq{YNEnfh&TPc*sU zvrWp&lw+;A+bbbboPN`TbZz&#Y3z<771cEQxpKWEA%V)(t1oQ72EXc>T;D_K_bwz) zt&JENqP)2}A0BXz1eV6Y@ng>)LIiGGahFKydP2*hM4E#Pja9LBk*a82Ine(`4QZu` zAjuXpga+D)?FIq5bhd=^Vx-`~9S);y+>U%)AnSArrj_XDN;coeN~cbe!||mpPN|-? zO+;6Yml6yjz_#Y(P~AGIA9a~{L0KcyF5+F|Iyj4b8O{glX*pyR3L4fJgMrd)gSsXp z*#w@$5~S2SbGa%rtd5IacIS-?-yBzTZIV(|e7t0u=bG>_^NzRQiKt2eDWL4yr%Us2 zV9NFwGRxgJ14|R&Xt|NEl*RSEDHjeDbA#tHKzXe7Z00xv#$t{yd%Q@)5e9qKzyN-e z(8Qy3Nfyif(cr)$0lDx2Pa;tt@U!-;Pf)6O0;LgtEb+n#AzrWz;K-L6XDEPHRm3eK z1u6%xrJ}ERAS;cISHcn^$h}F7$rp1i$?m5*0xfbHkeUh$^zF))2(ed-q`;n=qmA>R zk`o-s^1kfCIL4HXksoO*apSLi0zjH;d!wE3T%t{ov}Ojw>wag^*up&?k?Osmhg028 ze{~r~hTNeo2vt@6)g_2RoSTAo9??uvq`$uhqt8T&;L{0F999m}uWr0HH~pcmBd2{6 z`O+mWa8M6?f~fLX`}(Vys!gyCuzfcX(wPX#;i>glJD@Z^0p@k1g{2UC8azgEfg`ui zS5uuo!*b`lbTWgCl1AplBHgI-^bSLZTcCK<<4uxYT*I)TGsF}Lw zu_bC6d^*Gu@4eBFz z^3u#C<$daj;4UZT(>rVloIfmhyp1g+H}6p_bTTqX_8aSRvbPve=R>={@;@#%FN)+X zgEq4dY#>Iwj+Lg>67L?`b(jz^YXO0NqHkUZix@989AVRQFI%?YMxm8 z7MVpHouE(^s#Fj|?M6#|douIvf~64|xA;H|)~?Kexh!U6TwCe1NkR;A{Gl63UYp>N z6$!MQkOr?F&LrgPSFFE-A{H0}k^}_cEuvGD47Cska8M;Plm{M*8F#b*PH^SN4*HG3 zMZ(tK1}TGLhTz^OPM}ZTr&l#0RQN|K2%6&asNk2_1h>G`zh-t=Gi9ru7qw}G19B)7 zM4Lyz!0D3#`)!|kEsfI~X>2Q>>%eZz1Th<-FHu+LWpr_RaG4+|Ha$4qFF-}Yb-22N z&kAc;AM>mvlDBcWB4a2D?3!VE7-0;+ z>L|W7&Y?|G#NS-K+U3NFRfDcaoq34OwUOQ|HmZ*IHVA;9)!Q zA|01<%wo8`iAe4rX>SV7hvh>YfR!4;bGl)?_{RaKAZdK+0jI8c|LF!e69dI}d>|s* z+HQDXNN42Wn{(&J19S3;%zY%s9tj+llp1WgG)~O?`0*ms%*zN_-;|UnAA6}@zrzk3 zF@*L=_ZuVstiPU*Sr~nNkzweC!da)N*Ln;X(1`4?n>PSoFrR3DL#K4vouRFX~sU6{@=1R+USTHts}Wm2a-o z{|KcQwl5L9uD08c9GvPG2;+c$)Lxranl~-g2<+O<*~BO@0?LXh>F(X3cx|kbGJ# zw)y86tX!x z+GikPoPE|#^30>e7jUuO8qpZ-rsLBO?1LtCEG#XrF3qr(dIfGi+k*Eux#{He)XUpD zVQuk`g^|4bv^Q^X#oeVgYHF(mM0TymVb{c&7Bh#H`NtwGvZ0{ZHXNzo2GZEvoSOK) zV&~CJYisNH*w|k6aF@0s&EsP2dV7MY`}Cq@_V3@{E7`+bUn`ztGxJk50>ze#fBwAW zeCd)H(Lq5$VQHZ+IyyLLX2@iAxOM-NbIpEjb9b;2RflS7YMRT~<(TG)}Ta~TyI59D+iAEFRX)U zGv1-xo9SumD}!N-_PMc6HP<%zvCd*6MyaovogIZ+KrE=EQyIa_y?J!YkFUuE;c3dP&JSjlel`XLyg2`FVV%SxZh)v90HiP_>ISF;16X?pqWV7FG?I zx$NY5)y=!9ZBI^M00B6q+LHniIzJhTbwo6*fLUQ9v?ADPEICMS5|@s`um@~diBLSXUNsvz3pS)JAEOIluaihdC&zAOCu}q$e7L%5i58V!7 z>tsTI_p>YW;|w_&nTf~sS(1i{R~k~(poV7$8!5q`4mhta&B9npTAF7o;XBHR`7p|} zA@7y7mBrMrnK+Tj($Z3Y9i7|kojTg&$)7x=K~3sAzo<$3nJDA)C3hn1r3e`}V9``TF|8^}e>WP*YNbMUVR%_kD_Pe|f&z z2Qn;0acRB5C_C;PH{L%3WfQ=v;oGVUwVAy#T+BV!C~d3lwu zG^J_?AM<&3;nl-{nV~0{hDpP9`}1c+H{npQ$--aP(9r5u%*cWm#qe&@IKIfS(R2(w zu`;2xI()Xmv<$YEcHk;yP{6Ssy3E|tGHcID4^Lfvz4@6lk!*c%9AbXB$cZ4Ufq{XP z!yc)Z8XwadDe5CnqfgMG7lQRTVlF)96)Ph=c~CP?B~3CWg;mlDW{;&dV7cckh(Al zz=A)l>;1iL3CYQ__`0U1vjjqv@b2BvWoRE*Je(RH8Tp0EbRq^IKEYa{$H36AwYk}o z-sIL%fL~l(BvW&3im%R%ez$%XP+022@}jRh*w{Sp=;(0TQ(RCWaYC77eD@z64Jb~L zTc@gX9cC3~Tx)-AoK0}q+qcKn)YK#o>>{QAKm)Yb&Bf0S8_tzZ_0KqCv<9yIDI}yV zyxym~T}TKXV?1L1xU+V?t-CxvbAp%mkzgmhC5%Gu|3Rbr-{GRab;|#r2_T;FUynI( z3bqQgwf{Pr09p`+3DWX~)sqv!OIJp}y()hSc==G!jem!Iu$K(~ARv9+|1WU7aiQ?4 ztE+{LP2gx>Vq#+004G}U*X^kC`%#~vn5DU~=Xvl-<7G5-M_`Yoiwn*Ex5WXK?h{H% zMrY2Psg2^plHj#=Z(?#XEqHlOba{c6ow||sg??k!H=lqo7{ zaVfkDq9Cg@k`P>d71(8t8rx4^6H}<$H6v#-sTSTM>0dwhLmc6Qc}4|**RK6QepZ%6 zWDBZIZdH!R!b7MTkKy-K+uocERk{GkBve`%A5vB6-aXAoZuH-6^!@v+d&;cM^n&Ma zZO>lME;h=>Z6$^>Ks!D44N%S_C|2Hq+BP%hR&_j|Vv6u@fxQ#wT*rqNp&LsQl0=pM zR#tlCd(0Pq+e&90N9OfJ@sTE@F^i3yC5w!L>)n4-herTlY-E{bC@U`B z!^?|4)NYe^BWta|(AAAd{eAuwM)JpmoTip*NEs#JB<4{oP z5WnSPMo=c33EUC^iSOIBe0@m^W2C-U@Fl=*dNnNNoTOCmvB;JmFOY8NKkKC5Q>4*4 zJ?*DdIRNCa+D{Gp6QtxFUncrkvSglb@ItHX)vb>ESI2_O?c9J}tjP~8)%VfY_y{-;+}1k#E@A z*j-@+Zj-BZQlzi?{c$Fv@q!jCfHCpqar;ll#pDOQV(OPyX(?KDbv7?$yov^jlJ^Ze z(vy;01*h6Ovl|o5j7MeXVyvx6??Uv#4(_kZc<@!QVQgn-H}8~4^Dwe@q{M`@xlG#q z3(XFMX7}liHKe}wZwh!dv9|e7yLSsX5TZ}zh_hy0t0MxAg>S_-%2kg(c=}f zv_$15ej$@ z8!uO*tOHUOQHv73*4djF#UIbi?39ZDn>Q~%GQ|8|39f+yoB@fIE)vCtr+U(z6`9zb ztz#@vH}8BxY!3b!wqdm&8}W+yz~qE@PPkP}nC3=!jPEqw!p-8&9r{G)W3)JKqmv{fw0UZ;kZ!>W@9Fs?T+T6}(yQ2GISUSL zB@weK{!nFm&p=NceI1?Rkybisg?H1B6((I}Ltj^su)a5hwF;}Cqr^;g^>9*#q#=ad zI^$RK2=9*VC^3W4{#U_UbY-f1k0*^ghEB_haA0C*7-Z@vC! zv9805Ha+FYJSA5Jd}877jO)XIkGRh}O=-K)Cbd5H21C4?5g zt+g_f%9#Pc?qGGX!rR3*9>bl|_p}t=f`V>eq(Fc=ib}4MD{V}Vw3w{Pk%b+kHznuMd0^P!dgN?HXL2EC9E0< z#$X8}f_*<>W4t1bHcyHf>}3BRK6e&bR;dQ>GI2Qj9^PtNAQ%%7(d{o0iSy9~?+6$k z_fX=_mYzcajBWPg`T5gLo?{nROe2@fSp<>0OAPjN2JRNj6lW&{kt`#dJ(H10f1oT4 z<&y-|h1)MSxE3*A;fXPuqLYL>2>?h z6x^I{;(GCxTa~NvPl=pgrN__bR21>c5E5TA>Xlm8CnetH6+^K?veOwFlHLYS%NCC2 zA;Inqry}3zOFqxrRPMrQhqu@E@wZdhdMpVLo0E>%Q}5dU&?KWr-_Z(oUW$vmOao zt_JK6sUzsF#MJ1GwzgsHq@*z5Zfirs%+R!!Am>xIze~Qs45=H93AqM zU<9rDl$KpClYd=+jMf#<1_3rJHju0(3lQdJ0gZBjjRrT{zAtKUfeibRfq-iT{kZ$WbtlB;&=XEl_#qP6m5fF1S+W4u{@mzFt1v2;-2q{soRDC% zkZ+=AsmKHpvY)0>Q0WK~)uphg7x8hog5*hC8Wf}i!U)Oz7=6K9$1Q4s# z8j|9oCa16_!$C;?u2w8y@N02uUFTj&L$}Ct_A}Z5nP;yrCZbW0_xu`6HS~CaXS~+q zS06mMvlAS_q)JRvv|Z?1TkR+1>sR*^{gVJCY^3sqO;1ewv)H>;@CPr{5N_|+sif6e zQpWB*MW)6OBz|#iK|<+I(LhZp6%|fj4UT`VDP8^DMf&+!k27!%l=Kmv_`3RRS##qO z&m!FVpd852nLZel5n!pv`pXhYDPO1d@Z$oT4UC->S+gMa%H+q-GO#S85s5c|@t5M% zO7lkpr5RLIS%^hh>-L&#&B}3ktd?e38ojCt8*@%M;f789Lko6%}99Q?ks}nW3Q{5KG*#{ z+VK^jq{PJbG!bpP%hG67A9g2Mm^K&>Mb1P0A-~!qKb?+<6-H}B4Pk?qELj9KWn>8I zk=-4CzJGVheKaVIAhN=k45m+RVBkJHjHSsuudY6Q?xG!gq{>_<#L3iv*vhf?(K^!B zN_BtcauV1yvCJ~ivlRAl9)a#wc?B{rb4$kU{+)2nRh_&6c8dN*mX8GB9?*a6P26`o z(v7_I?aZ#-1!llY&=;AlX^Bsej3<$x8W@d9urc+&e#t_SY3C^tPapX&;p+^)eV*oQ z>OR?#Iw;tu%LU}_PBiOTXDeL4B>mZoS1^f#v&XThoYXjtZ_fgPXY}+4)?M9O-<_Di zw|F?LQCC9pATRsD0A^rO^H13ey;>`+Oh@rl^4F4TLRs64V1qI(kodB$ZaEF-wb8sp)9M^W zxGm%y@3EGatkv>oLg-wKay0ggF*oO_o)qhY1KYVc7ZOi0l}RXYoNj>7hXtj$qK zc2+SlQl&lV{S&>FX~;cfMbvpdh9_ddB0j&+ULl->6$R-)y!D zh=Qe%p*!}odhRQk?+X{5Y3?K>*`=pq5+BH`Y(le(CWmVGnS_)|4mwZX%diA zi{zeOZ4N?S+g*|p21~_5ck;`0FM4Qp_QL#C@}XD0x9;5)ZrtWEI?z1W+*E1vOu>XT zoM2ed?Oy!QAI{efY5CDIq-sc`Qh^o+d9Ik0(dqKkOh`%?i>^_{&pA6Nva<6-oFCCi z)!G;naUQk9n$Wzn7&^Q1vVKvS8%N8+31~?(88}=yC0Q1#zoSt7p|QKWv@NMF5G{-< z%mDc;md^DtQui2kDVSvlshY`pT(sCk{P1D4j!*R@eTtlPZ+w*_45)xcp_5A&z0Yfu zf6D0nLawcbZ0t^G9KB?V&xDp@eJ5FAX581c=*A!kfS&uRbGJ-&Zm`#jL(mT@6){-H zD|#hOhH!E~7IS7|nyxFeVu(~3y^6rQ$HWlg#d~Vy_mk&P%uAP{14?DV zX;|UR2D3SdylLx^z?Yb0LyA>gfYezQh6EpuFZ`ZLtkxf*m?Dxc4ev~|)kaAGRg!q= z5EgGYRQ9M%p!P8mXx8rq&hGe%NkMzmuDFzVY*)$!)WV|5TNmILQ7Fy$cvx6WFFaxl zJt|9xV3ypZEonaoR3)0X+DB#0NvPQmhsgFP#cBt^y?aSAgQXc(VF4jiW%h2ISr5;XXn)JZ)LBV_y< zEa>dIxZN-P@?RXra$w(zfhND?$&5c6HEFa=b9cDW2vaKluby& z&EG8SZc)OALN_zUdQZe(i%vMm2MbW;oeDZPvh(znmZCEdu;%7S@ECn7!DA_N>wuqA z5moN(p<|A_I&A#+mKokXVFK)k`9Tbu63Tb)%M_JKRr@Kdwd5WUs3_GX=mf^P4O9D$ zgJdz6_YHKEk_N(Uv#AkgK|R=>Ir-z6JRw=uId>^HU%#hCAX0^00q#3vz1!uHW)r_n zi`gG&vc1D(F_UV87wjWUPd+^UokoqD69@)bT4gt0vfpsA|EWv1Z*+zvTURk(^%Hb8^%vnx@lCv`^8=d(s`fYUflrtI*YT@_BxxdOE>>^5R(sHYN%$ocByu&p9KcRfkqj$}pDm z=>7ZCE`d{1aQxf40I+FZPwea@gs@~Ex48h)SwGGcptth%A2Z?~mmy)dsfLtQhhyuBx^ml<|~m;iZA=y@?0;VwhPBcMvVF08s9)uY$~27gDBEVUv8EN+$OpGA-c# z1k90Lv%SY(2x~t-c--!%cm5tXky?{_jC+mhs9X&G0dwUqmHBb8r*0Z(zP_eDBOS&X z3wvM-4bg1^ONzok6}*HZwszwmB6e-7vt9?p#I~rsUCc@4J;H&{g@^>h%_b?zCfofP zbK8gICBaJy11;3gs`yo^c+*Zftl$O+FG?4LbqHA}VHL)W6AXv3NrY|7!rK^3g4|Bd zB`P`9=ul!}D$PSc%eMbh>d*Jfgt8$Gl#^bq!jQedgZ}~drKR+*mx~W_U5MCmx0HN7tF!#TUrpFS>-rb zKp?1vgoLChxaaJy*R-hrxF02;QZg`L&=%-@^18P6(~BNIGp#zJzHDz~;7tA2Zo16T z)E13%;w4S$^Kx>8^?b9ka&oRoxOk{@o$Rd2xGc&=s&k)NT^lr;&q;OBtFY;LxBYi- zccW!~b++HZzfBnD=~)#M6BD>}=iIq-+utK99!r@v=B2teD-;>(;!2wM8$}sag1IH` z{-nGO_T2r0bwLoavtc`}J^g&$Z`oR(<*aooIX6ww+hOKY+DM~s#g$jj>Dl;;cuajx zIJsU}8$;H@oiHYJ864d%g6#)Az_`@YT2X=oaw*1sk*}hSX z`wBO&OW+Gj*wwIu_P>VST=blayIbXuU0yEZxj6o}-mI0Dc+A*W$tO8dCHM{*;j}p= zg|k--S~1=_YV5e2NO*QkK6LGkO9S(AXy|{wj#e(`>oT;qwvKr62vzjPWB?-R!u>2} z*i-Cq(;F-?sdAseQYTu>N}JYG_#dv`c(}9NQEjF0jZ}w#vlp+80=16EOq?D+`%X~F zHP^3(9=LJ;{u`<$_M+cv9$ZV#c#}UlisL4h2Y*=nmguQdS2xD}OR1vR&aN(flD9^0 zc5ZH=NrTtLz@6GDgSWR$Op3=EydArfq+G^PAGKayUiPCrV&GaC`>5UI zzw!0+YYl4XgTA&%o}0$TMH4&I@)j*ua|acSK-6)CEckdn**5(RA6-nf)9`~WdWGW8B^JRdc&sbaBF2L+Uk=QF6o6&lf(eur~Q z8s|NJ{8&`Pz2jLR{p{>)3;{yMakTdS-IlJ>~Qc}@8=10Cv<;dN< zdGoZWXkTZ%xM#1@hT4h4r2c---#^eMwQiSV6!Lx!y|J3>dlfu&&t-e96jux(f6hL zf&$%+D88$y=bg(TY99VsXN`}K4{>SUn(h-XZRF_e>@4T|2qk?F3k(2pkL^`^@(p&G z(#VOw3*OaMYR@VLVc+UwtjIiEP|A7d6d76B_~hjLo>X~q)YM}kOoH9V7@_T76}_wQ zDkv)I_Cn3Pym0?Yw90O+^4^a7+Wg@4MZ~w(9zIKfjVu5zgu{~+ ze6Z+$d3zzRw)Rec?)5|zq&4lDiNJ>OfEAste4xfDk3=5#fZMkAYgk`eT3QQ@{@m!h zBIia?CBFe``$_O}et!P;aBpDF+?<2b+JHVx*l;?0@b30tOF?}hj`%>tv0o!$N;0dMO%Mz1@ zeInM<(jqNScC5u_?5HUyDAZ3S7&&RsP%NPA%IJa-51AJwrle#-9jWSv?@8n$DV|(F zP!)!0maOfkpPv*LEBWZ~9dGD>kMVyB$p1(9na)p0Nl4tZx1XKbE6LAi!kL3+c24Gy zEBl9>5bLMMaC?96HV4$vA2^~rQ;NZ0`k!!$oJ=}^zYWLV91Rl)%wyp9QN<)m77u=B zBRcO}dF-q?-fMBZIEqivbayY^e?ftjSMF!1Sr;vE*#&GDkg3L^!*8!k>83B;yZ4rk%KYZwG+8B3KWCj_TP>g#2 z_;5(VwDC^wrIn{tQ4oOo>IIKN5@Tauw}!C|Zrl2=|N49?`chU13(x5jC%%PF6joLm zWM^k5?lnLOW!fqAVey zBZ7Sy?x79%VRK>W4S|44gNgq)u4R>kDagyyg;da_3j!WFLYTO*8v%SP)WoB0wD3=c z8~=Dl_iuk2R%Q43ofj=gc>fqGD=Iqxg7vUC{h$07!ZxmK;(Xutl2~{G3jkUjt5$Nw HJm^0FV@*IP literal 8711 zcmeHsc{tSX`|mTuSU;9e#3xIXU6!&$l%*77vdf+&g|Y8Mm`IVzzLq6MC~FwIQ7Bn6 zb`z$JhHQ~7%Xxgy^*g_F{yFFRp6gua{Bv9v^S->Fd6xTi->>_1-%qTezBUUJ4-)`@ z1+AlH3;+^7B5(|J@PjNkNrWHg{4ZPhn|L|-2RZoO0(uVq-tJ!h?${fGfwz49uwI_> zGUsIEqy%03{k{EEWMw`6+W;9aUuW49`ZN=85=L(wOFsbq(m(t~LoOi25XeJ$vOE<;XufCOw{3LS8>_q+%2Bi~7-hX^F-QIkcv*1)NV7_=) zW`Sw`F9`=jL5+OW)flsroj+ob%#U!k z(v4eM&duxkNCl%Uxb(rd|Kn0 zs^EK5n0N|+C7yGn(y~OG-9m92`n&))YBV?g?L`S`Y0?Zo08046%-Z#6?%qirtWg8I z;hkm$&u2Bhg~Mgm3da!uN0}e(D}Da;-N>Q_@l@=5DhSQhPI7M6yT&88D}+!yLVLMy~=^(8xuCWB0U^9jEqeJ!98)Q$w1{cDUhd43MUUS9aLpH-=Xs25hV?e0qrTuQmmQk_i)a9uoSdrN&98m29FMdCSe7^|9u zH0k8o{?v;n$XE#NQ^T%OY)@LIVn61570NJ`UlmV(JYhO)Ebxe6*Eka77rL2K8|Ior z(RU2=KzOmWQb~;|k79QqG@Yx{uz2fdmETCn?E}s_5UrA;^_W=gv7jlMAUC z&bzy)0Kh*iJQ=kmHN)z0#BT*iK{S{C_a{X8YnL6rrx1spr(q$eqJ)-5G>%ZZut zKJe#hZk8;SYbtlfp=~PQ&Rq-ic&XH)z8qpY+j`TH8LmSMo-Sf8w>S~DUAU-#n=u5q zESK?*Hnkh@fPR{}lfOo|G_HO5+BcXM$Bl`NB@6)&DS2kFR53bw-)^@MTm|7j#?N3^ z?6J$XWHcb!BY~-Qx(tlGH!AzRn;bZS?yiKu#iSQktFmbUJEzHuj9L*L=oOWWZ6e$< zIu*?~Hn5VXJcy2DzrUQ8dC!gqANtQHy=ffS;czKOJe1BZtP5UFN73dh-JR5GRGqsgr5%5%H zVVC9>d7Qc)infvEEsp)%-p4c8RA(t~L(xLiOx zxxJ~uI(c~O2^!FpmbX7B)IOd#TACr@gRO-LS} z`vk!h)k`ufPf-bYeTav2wo2w^2vfsdnv z(pd9Ydmh-;FitWx74FL&utY*A`?502rk!)DvOBDm=_qondR#fb-M;*SMq2e&$0v3`xw89&Yw+8vKUz(35rYVm8qW}6b4N@tP=S|!3aCkgg($> z<^Z%qx%8Z09fvcH#Q%dEw|&yn?Mz*6^s(sF0$hEC9@H(%^bu7Y{WIu<*4((l;kwK?df zu2GC&SM1E7O@GiAtrDyW8M_;YWJmCx&1gcm{3(Z_tY-u$ve%n*4K9fMraG#|9#o;& z5n(&fPpd=#7);6ans&3?6^cT#pIDsC{G&UND_i(t5-$BFG0Sz@+PvcIa&63C1dwmP z7lNHP^|NQ9c(^0l$a3<9MY(A^8@1WO!5KhHbEcK#R)OA}?%6H|hP;qcFRa&&S?m@> zBiTjzo?=d!>8#D7B_v?T;v(?)jLrU|r+Pyr@}s12|BTmScE%!7p9s`t({7z10E)B+ zIg4iR^=o%AMm14zCLvXXMLNj+WHXG!EHeSz$%PIj6J7?&aG#-hFpr0yX%8{cw#>YSdG&z~j@oJLNb~3fDw^Uh# z3E=##_pH>r^!2XZqQibn2DIhk9y*;>Zc& zu~Sx(QYkrMX-!PXmAYZmHCrl^>W;&pIYqhMKj_I_CB-0ASX>!6O!9zGC+K`tM2&np8Z2aTd ze?;TDAuv>(m>|W;>SD2kx^>C16oIS2Fl@}mF??ZpCO0&l7J(A9-`_E(s_$R2s_PFtvPFXe=1TUs;hK^f z`@8;A0fZqzV{w4+pMA96D^L0w4{Nr+aDfiHjeDM1IAy?U2T4H{+o zGD2fyvQ9~RYxAc>XXk`|lnX_$4filEIb<`fyQlDTI}AdKQoNe$^d*bkC>VR*Fp6IJ zUD(E-bLIx+c&tfvw6b^JqHxSv0^s}gj(2t`vMCVehh=+aFtac{wfp*GbrF1x5(TW( zF#}17#9wQLA?MdX>$Qp;1=o~@x8iX`RSP=4p%;%$%|!chWoumy6D(Oy4ljbir=BV_ zD|0W>l&V5eD)pZB>Yd+MhGDc(iK4tNm8zbJAbUUv=-}iFBbdp?YdrE-bamjtG)fgb zrSzVO?=2s^-fDu$P8gk;2{jeLL~tVm)W5KlrlaKiNUOZu|-3NR6Ymp^xKm^-;M^rcM|mtkmo2#S03YM z_RXwnbX+H(Y}-OvgW^;cUOaXPA2d^&O&ie8g`1i3jZ^SCZoYo0?+iktY@I4pX4RPn z?1#D%X9K#v#82jdywSx>f|`VAP!>cFUR2zc4SNPA<5bBquLgXje8fcU$n?*b_GtL)meU>RBS|geuIPL`ND`DF|q`ONfgAC zR1nXO{q>LP=(DpiE)x>idVGQT_IXiYn~)`0X5rAkIG1s(gNXxlnC|Tyit-*=xVZn? ztruXW(V-omty=iWhAX0j3kA$-+{F5_-B^P!;`@-6_?Wt=q>OTzhw#J6xPo zuHx>k9z2({d(qvvaU|}VYM>6=`L^pQp}C+WGt8u530hGtR~qm(2BzkO_S=kdS4J~} zQdqV;6IFIiSrpbZ6fDsqg~`$yVvJdXm5)8eOeEWHE1Scy3G<_AbHfHp{f7*`n0T=?iOD2paP zbe&dj@9dm)=2_u^i4zNt_4OV4&&C7<$sM6}X|A6{D&+e?@8yUD1`DHllP%U+=Pg}_ zy8?MA-8_nN>aUuDs<+zzWPmoM{S|sFNtpW6l8lbL$Ebma(lPO%E0K^4MlK<670;AU zOob^qGitG-^2!_ip(Z?&zN&|TMNF|8T>2CiOWIh3;tq}{rAUyV8>%13$Eoi=U<7w0 z_|j}6rmoVc9efJpQFlZd@3;CF01Djo{!hmKqQr^I%233FtY}gj7hv9>e}crdZO!sxd${~ww9yNU>wo3u#Lc_R zO!Ix7sV?H=c81#d7$0p+Tg-pY+M0%c33!IT2-$R6)vi2^&=3sUDXF;`yFP4UqeSV> z055Ia)ml4IfW@!zfcEoUa;=y(M^MT#cl$6RXp{-zy7Nr&|l$wfOoAaCJlBu}Nye4mK<`nLP%X4G~ z`V%!DY?SN|!pZ37NNIqcA4XeMYRr$om=z3!$Vjw=pkcl4_)dqBkucOoxJSEIT^VpH zPW=UTG1>ashyl zqxp|-0*|yE7X{u{4_Ie|aUYUB#57B7ROs$?3Y0@XxwBB1-mB0i?WqUg=$-Gf9z~$} zE+beev)dvV61LyigS7VZAu);9yTy!{s~YS-UnY`#RjH7K(}$8lv2{h1$wbiD%ipmB75EPZD)eY8wI{eCp@+uYN+ z@`wno2#Rk80OmeBHQRc=OExfBkg+GFEjVx;TG$uW8B`8?axvZ zAz91Vn@MA=e0F0XY-d~_xkUr_p!oa0ay5?oJDmD{r$Dh96ELJ%oPw=Ix zoDx9*lLSTjom;n{9H6D)0D{Q>Y+QI0F{W(=``I46iIUpa5I%zdCrg_@{WOYLjb0QU z`Mk)eAugPnq9b$#9+Z|11!5xo=I|A*NlT5GkUt(|Y5);DEZbqFbfQlXV9ESeX$Fi|s zhkXq3S9W$h3ObXm*Llvv`h6Mx-Q_)$ylfpvxOk#j8UA}up|*e`ecc;|=w9N7U*BhE z7&P2rAHkyXcD2H-hwIa!u;!aW)>B3Oqz|6)x%~~C;i;s$KAcgiJf`+3@JQ%=Hl+hP zseK&(RRH4lmk*%6=?(jNO4408W{*}-u6HdfTn;rVt1 zpy;_HfSUKuj0V%C>6XO({=_Nd57K3;CbRCYnDIJVcGxch0$p9Fix~7XZ>WCwu9ta3 z?)4VUej6=VNo3~6o7*1tmR^=V>If?RL!0O0i0x#Okd04Nr-&VX^MB|~yt}FF-*xlG zD*bLW5^Nd5s{7?NQmN&JTyNGbxf&M-SsL6VWS*5OuhvA^vw~H)+E(7#ndh_CV3CYr z=GMIss_WxZd;2P|JzT!3Ub!U5tEBlnls9~8pU#^tPeYt$Ab!X%Lk2`*HD#iDWbfs? z9!N?i5~J*rMQaBb+Eih9whjO6k2IGBpWd)Bh(agC{inta2#y|m<=m=`W{gv3*Wv_% zxXGF`b<^4E#6WFoor^;&p|tmoEO-N{mEHU4S#+`(=Fg`2@4;M8g#Wy-w1wdB`J-|E zz#Z0ov^EvCq|vh3jkk=9=?Be_AkSIXLEFhdq!B(_D-Kg33uTR~?|1{&`ji&-HfIi& z9MNdlRXw&KCU&symYm%8{^7&kIV1yQ2lmVG=S*lRBZsKV?$+u~kKKMgcIX9m{l}pC z_A{Tay|960-5LB#NHx%5NV@Ny!?&IsK{7<(4G8 zL;HQ|*6P=tm3Fp>Uk&^!8D9~i24^F}w;W8EKt04q%Lt8*ePNJW{`}Gd*V*38o%vT4 z`M;Fk#|xOdy1x8EY!NaL=QO@@<^B_X)xe30Om#cgNz;%WYOxlQ;-jd>oOit`@a3c4 zFrBiJ(o)l}?;d-+_s((~&{XCdbqF8f=j!*b;I_z=Vtb{zjVem?(ZxJWuX-3CKuksMXvBEcz&wCGIT}EfaWR& zGZf1a&_u5?|1Nco0>@4^1yv9{$S*v|1nTcGJ9D@yNUE;Fx?_1B61lXd89k_lnDCPty{VnOw*SyY;7J_fqnF; zfj2Yz8%ldWoz-9ca)bukePHr?e*WY0OFS1sYV>o}%G@ei%;3WFpBmPV67MtOl??GmpuXPXxuK5R zXlWI{h|@D!z#)3o5ZYw%AN~39s)9qqhyB^0j+onxM6szA$E)ph1xkt8GdYBIlc|F6OEDn}1(U(#TKcCA0vIAD2tDljF(w-HF$wc31G`$s>wKX|n}zBJVoaIm-O_W5nJu8vNO zk6e(=;yE1ygLL6Va-D(WyGKS?YzdE|D`!s(P7Hdswm|sS^Ru3xTvQ*LY%I@IynZdW zw>=O+;O~6c#)Ug|o&Ec#2EUNymQ95l9SrDMQTDlkTysxP8QC_5m;INqtbEFO&CTbJ z9z9AWkUirxCGkZ?3*SB@H+p}L6!t5~cYOauLP)6HS59efDTrut`*y=w_wl@r4lT0J zvtQ6f=YI?qxWZyxmw9imXh-+qpsm5-s$eL}9; z6N+A=XG74%y?uOqwssaO*of;S%;!U6BtBE{nr`+UE5F|E-2beKALX#t7`**G-Q#`C zG3R&$E-YEhV6?$+PQhbR;g*w=q`bUI1#!P|(L&$i_08BcDa(B5VHO5z+xUlZaS-=@ zxRdpdm)NL72I|);Y+F(?GfOj7_{o~CIeH!p-ApmI8zIdV#k9V1FzCAxyk-KOCZp1JG zN*<(wy?Jw@@#V|WP6Ii8U)TkIV*1EynU06agD8rnpJPQ%yfo+sSl7!rF z0iJ*$gs8;9SKoHG*SdRphM<=#LOex8Mdzyr)P}MY-Q2Zl*d6(38I&J2A&^Tq{*6n$ zf9C@5|IJw3fV4%WMz%_T@mzm)z>uC2_Ir0KG|9?cNMc}E@BI`0S`YGB5fPDprJhdN z@aI2&x=(qxvk(dpE2l*PZs7autfYhlIw>V5r+l{W=>jxhnh9b>1tvg2-m~r>C#szf zvnBZnvhC}kmXc9bwSK@RQ2xuYDQMX&B&1Oo3rUJc-sutK-;rXY0!ejZUY-UDg__xG zfHC*$E@JDVI3Mc+j|ad|2|D}7?4aqATRmwdUNfyD`;9d<3fam&Cm((Q!AGs(e!^DX z&>v#V#LVngvqj?#yH0I$I~$9yvQ>j#!mrKjO_>;6DBR!sWB1!F6W&PX1HcL|=$2sH z^FN4}9rgbop#{AE&)EToD=scJgtM{$3a&k^H}O#JaqvrDz`NV2rLVi8@q7{Ij+;pkATqHtGWN@Ww^N z3hK$f7!9g$Rw#Y{4VL>~(%}Dv0eqwNK91zSfyEJ~2kj2z698U3K>7W@v-0|Zj;3bn U{oT{b&{Y8Xvc6XNMf=GA0uIVBWdHyG diff --git a/dev/explanation/gotchas.html b/dev/explanation/gotchas.html index e26128bee1d..cce995e0f41 100644 --- a/dev/explanation/gotchas.html +++ b/dev/explanation/gotchas.html @@ -1571,7 +1571,7 @@

    help()
    measure=<function count_ops>,
    -)[source] +)[source]

    Reduce expression by combining powers with similar bases and exponents.

    Explanation

    If deep is True then powsimp() will also simplify arguments of diff --git a/dev/modules/algebras.html b/dev/modules/algebras.html index a312da4da9a..137b6fa7b0e 100644 --- a/dev/modules/algebras.html +++ b/dev/modules/algebras.html @@ -821,7 +821,7 @@

    Introductionnorm=None,

    -)[source] +)[source]

    Provides basic quaternion operations. Quaternion objects can be instantiated as Quaternion(a, b, c, d) as in \(q = a + bi + cj + dk\).

    @@ -876,7 +876,7 @@

    Introduction
    -add(other)[source]
    +add(other)[source]

    Adds quaternions.

    Parameters:
    @@ -918,7 +918,7 @@

    Introduction
    -angle()[source]
    +angle()[source]

    Returns the angle of the quaternion measured in the real-axis plane.

    Explanation

    Given a quaternion \(q = a + bi + cj + dk\) where \(a\), \(b\), \(c\) and \(d\) @@ -938,7 +938,7 @@

    Introduction
    -arc_coplanar(other)[source]
    +arc_coplanar(other)[source]

    Returns True if the transformation arcs represented by the input quaternions happen in the same plane.

    Parameters:
    @@ -974,7 +974,7 @@

    Introduction
    -axis()[source]
    +axis()[source]

    Returns \(\mathbf{Ax}(q)\), the axis of the quaternion \(q\).

    Explanation

    Given a quaternion \(q = a + bi + cj + dk\), returns \(\mathbf{Ax}(q)\) i.e., the versor of the vector part of that quaternion @@ -995,7 +995,7 @@

    Introduction
    -exp()[source]
    +exp()[source]

    Returns the exponential of \(q\), given by \(e^q\).

    Returns:
    @@ -1019,7 +1019,7 @@

    Introduction
    -classmethod from_Matrix(elements)[source]
    +classmethod from_Matrix(elements)[source]

    Returns quaternion from elements of a column vector`. If vector_only is True, returns only imaginary part as a Matrix of length 3.

    @@ -1055,7 +1055,7 @@

    Introduction
    -classmethod from_axis_angle(vector, angle)[source]
    +classmethod from_axis_angle(vector, angle)[source]

    Returns a rotation quaternion given the axis and the angle of rotation.

    Parameters:
    @@ -1087,7 +1087,7 @@

    Introduction
    -classmethod from_euler(angles, seq)[source]
    +classmethod from_euler(angles, seq)[source]

    Returns quaternion equivalent to rotation represented by the Euler angles, in the sequence defined by seq.

    @@ -1135,7 +1135,7 @@

    Introduction
    -classmethod from_rotation_matrix(M)[source]
    +classmethod from_rotation_matrix(M)[source]

    Returns the equivalent quaternion of a matrix. The quaternion will be normalized only if the matrix is special orthogonal (orthogonal and det(M) = 1).

    @@ -1167,7 +1167,7 @@

    Introduction
    -index_vector()[source]
    +index_vector()[source]

    Returns the index vector of the quaternion.

    Returns:
    @@ -1192,7 +1192,7 @@

    Introduction
    -integrate(*args)[source]
    +integrate(*args)[source]

    Computes integration of quaternion.

    Returns:
    @@ -1223,13 +1223,13 @@

    Introduction
    -inverse()[source]
    +inverse()[source]

    Returns the inverse of the quaternion.

    -is_pure()[source]
    +is_pure()[source]

    Returns true if the quaternion is pure, false if the quaternion is not pure or returns none if it is unknown.

    Explanation

    @@ -1250,7 +1250,7 @@

    Introduction
    -is_zero_quaternion()[source]
    +is_zero_quaternion()[source]

    Returns true if the quaternion is a zero quaternion or false if it is not a zero quaternion and None if the value is unknown.

    Explanation

    @@ -1276,7 +1276,7 @@

    Introduction
    -log()[source]
    +log()[source]

    Returns the logarithm of the quaternion, given by \(\log q\).

    Examples

    >>> from sympy import Quaternion
@@ -1292,7 +1292,7 @@ 
    Introduction
 
    
-mensor()[source]
    
+mensor()[source]
 
    Returns the natural logarithm of the norm(magnitude) of the quaternion.
    
 
    Examples
    
 
    >>> from sympy.algebras.quaternion import Quaternion
@@ -1311,7 +1311,7 @@ 
    Introduction
 
    
-mul(other)[source]
    
+mul(other)[source]
 
    Multiplies quaternions.
    
 
    
 
    Parameters:
    
@@ -1353,19 +1353,19 @@ 
    Introduction
 
    
-norm()[source]
    
+norm()[source]
 
    Returns the norm of the quaternion.
    
 
    
 
 
    
 
    
-normalize()[source]
    
+normalize()[source]
 
    Returns the normalized form of the quaternion.
    
 
    
 
 
    
 
    
-orthogonal(other)[source]
    
+orthogonal(other)[source]
 
    Returns the orthogonality of two quaternions.
    
 
    
 
    Parameters:
    
@@ -1397,7 +1397,7 @@ 
    Introduction
 
    
-parallel(other)[source]
    
+parallel(other)[source]
 
    Returns True if the two pure quaternions seen as 3D vectors are parallel.
    
 
    
 
    Parameters:
    
@@ -1429,7 +1429,7 @@ 
    Introduction
 
    
-pow(p)[source]
    
+pow(p)[source]
 
    Finds the pth power of the quaternion.
    
 
    
 
    Parameters:
    
@@ -1457,7 +1457,7 @@ 
    Introduction
 
    
-pow_cos_sin(p)[source]
    
+pow_cos_sin(p)[source]
 
    Computes the pth power in the cos-sin form.
    
 
    
 
    Parameters:
    
@@ -1582,7 +1582,7 @@ 
    Introduction
 
    
-static rotate_point(pin, r)[source]
    
+static rotate_point(pin, r)[source]
 
    Returns the coordinates of the point pin (a 3 tuple) after rotation.
    
 
    
 
    Parameters:
    
@@ -1621,7 +1621,7 @@ 
    Introduction
 
    
-scalar_part()[source]
    
+scalar_part()[source]
 
    Returns scalar part(\(\mathbf{S}(q)\)) of the quaternion q.
    
 
    Explanation
    
 
    Given a quaternion \(q = a + bi + cj + dk\), returns \(\mathbf{S}(q) = a\).
    
@@ -1636,7 +1636,7 @@ 
    Introduction
 
    
-set_norm(norm)[source]
    
+set_norm(norm)[source]
 
    Sets norm of an already instantiated quaternion.
    
 
    
 
    Parameters:
    
@@ -1671,7 +1671,7 @@ 
    Introduction
 
    
-to_Matrix(vector_only=False)[source]
    
+to_Matrix(vector_only=False)[source]
 
    Returns elements of quaternion as a column vector.
 By default, a Matrix of length 4 is returned, with the real part as the
 first element.
@@ -1719,7 +1719,7 @@ 
    Introduction
 
    
-to_axis_angle()[source]
    
+to_axis_angle()[source]
 
    Returns the axis and angle of rotation of a quaternion.
    
 
    
 
    Returns:
    
@@ -1751,7 +1751,7 @@ 
    Introductionavoid_square_root=False,
    
 
    
 
-)[source]
+)[source]
 
    Returns Euler angles representing same rotation as the quaternion,
 in the sequence given by seq. This implements the method described
 in [R3].
    
@@ -1826,7 +1826,7 @@ 
    Introductionhomogeneous=True,
    
 
    
 
-)[source]
+)[source]
 
    Returns the equivalent rotation transformation matrix of the quaternion
 which represents rotation about the origin if v is not passed.
    
 
    
@@ -1869,7 +1869,7 @@ 
    Introduction
 
    
-classmethod vector_coplanar(q1, q2, q3)[source]
    
+classmethod vector_coplanar(q1, q2, q3)[source]
 
    Returns True if the axis of the pure quaternions seen as 3D vectors
 q1, q2, and q3 are coplanar.
    
 
    
@@ -1921,7 +1921,7 @@ 
    Introduction
 
    
-vector_part()[source]
    
+vector_part()[source]
 
    Returns \(\mathbf{V}(q)\), the vector part of the quaternion \(q\).
    
 
    Explanation
    
 
    Given a quaternion \(q = a + bi + cj + dk\), returns \(\mathbf{V}(q) = bi + cj + dk\).
    
diff --git a/dev/modules/assumptions/ask.html b/dev/modules/assumptions/ask.html
index 6f7743c8ef9..8d9c01343da 100644
--- a/dev/modules/assumptions/ask.html
+++ b/dev/modules/assumptions/ask.html
@@ -803,14 +803,14 @@ 
    Documentation Version
    
 
    Module for querying SymPy objects about assumptions.
    
 
    
 
    
-class sympy.assumptions.ask.AssumptionKeys[source]
    
+class sympy.assumptions.ask.AssumptionKeys[source]
 
    This class contains all the supported keys by ask.
 It should be accessed via the instance sympy.Q.
    
 
    
 
 
    
 
    
-sympy.assumptions.ask.ask(proposition, assumptions=True, context={})[source]
    
+sympy.assumptions.ask.ask(proposition, assumptions=True, context={})[source]
 
    Function to evaluate the proposition with assumptions.
    
 
    
 
    Parameters:
    
@@ -900,7 +900,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.ask.register_handler(key, handler)[source]
    
+sympy.assumptions.ask.register_handler(key, handler)[source]
 
    Register a handler in the ask system. key must be a string and handler a
 class inheriting from AskHandler.
    
 
    
@@ -910,7 +910,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.ask.remove_handler(key, handler)[source]
    
+sympy.assumptions.ask.remove_handler(key, handler)[source]
 
    Removes a handler from the ask system.
    
 
    
 
    Deprecated since version 1.8.: Use multipledispatch handler instead. See Predicate.
    
diff --git a/dev/modules/assumptions/assume.html b/dev/modules/assumptions/assume.html
index 542d5109021..41ca986a90a 100644
--- a/dev/modules/assumptions/assume.html
+++ b/dev/modules/assumptions/assume.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    A module which implements predicates and assumption context.
    
 
    
 
    
-class sympy.assumptions.assume.AppliedPredicate(predicate, *args)[source]
    
+class sympy.assumptions.assume.AppliedPredicate(predicate, *args)[source]
 
    The class of expressions resulting from applying Predicate to
 the arguments. AppliedPredicate merely wraps its argument and
 remain unevaluated. To evaluate it, use the ask() function.
    
@@ -858,7 +858,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.assumptions.assume.AssumptionsContext[source]
    
+class sympy.assumptions.assume.AssumptionsContext[source]
 
    Set containing default assumptions which are applied to the ask()
 function.
    
 
    Explanation
    
@@ -903,7 +903,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-add(*assumptions)[source]
    
+add(*assumptions)[source]
 
    Add assumptions.
    
 
    
 
@@ -911,7 +911,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.assumptions.assume.Predicate(*args, **kwargs)[source]
    
+class sympy.assumptions.assume.Predicate(*args, **kwargs)[source]
 
    Base class for mathematical predicates. It also serves as a
 constructor for undefined predicate objects.
    
 
    Explanation
    
@@ -983,7 +983,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-eval(args, assumptions=True)[source]
    
+eval(args, assumptions=True)[source]
 
    Evaluate self(*args) under the given assumptions.
    
 
    This uses only direct resolution methods, not logical inference.
    
 
    
@@ -995,13 +995,13 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod register(*types, **kwargs)[source]
    
+classmethod register(*types, **kwargs)[source]
 
    Register the signature to the handler.
    
 
    
 
 
    
 
    
-classmethod register_many(*types, **kwargs)[source]
    
+classmethod register_many(*types, **kwargs)[source]
 
    Register multiple signatures to same handler.
    
 
    
 
@@ -1009,7 +1009,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.assumptions.assume.UndefinedPredicate(name, handlers=None)[source]
    
+class sympy.assumptions.assume.UndefinedPredicate(name, handlers=None)[source]
 
    Predicate without handler.
    
 
    Explanation
    
 
    This predicate is generated by using Predicate directly for
@@ -1028,7 +1028,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.assume.assuming(*assumptions)[source]
    
+sympy.assumptions.assume.assuming(*assumptions)[source]
 
    Context manager for assumptions.
    
 
    Examples
    
 
    >>> from sympy import assuming, Q, ask
diff --git a/dev/modules/assumptions/index.html b/dev/modules/assumptions/index.html
index ddfb7592682..56506c6ec89 100644
--- a/dev/modules/assumptions/index.html
+++ b/dev/modules/assumptions/index.html
@@ -805,7 +805,7 @@ 
    Documentation Version
    
 
    Predicate
    
 
    
 
    
-class sympy.assumptions.assume.Predicate(*args, **kwargs)[source]
    
+class sympy.assumptions.assume.Predicate(*args, **kwargs)[source]
 
    Base class for mathematical predicates. It also serves as a
 constructor for undefined predicate objects.
    
 
    Explanation
    
@@ -877,7 +877,7 @@ 
    Predicate
 
    
-eval(args, assumptions=True)[source]
    
+eval(args, assumptions=True)[source]
 
    Evaluate self(*args) under the given assumptions.
    
 
    This uses only direct resolution methods, not logical inference.
    
 
    
@@ -889,13 +889,13 @@ 
    Predicate
 
    
-classmethod register(*types, **kwargs)[source]
    
+classmethod register(*types, **kwargs)[source]
 
    Register the signature to the handler.
    
 
    
 
 
    
 
    
-classmethod register_many(*types, **kwargs)[source]
    
+classmethod register_many(*types, **kwargs)[source]
 
    Register multiple signatures to same handler.
    
 
    
 
@@ -903,7 +903,7 @@ 
    Predicate
 
    
-class sympy.assumptions.assume.AppliedPredicate(predicate, *args)[source]
    
+class sympy.assumptions.assume.AppliedPredicate(predicate, *args)[source]
 
    The class of expressions resulting from applying Predicate to
 the arguments. AppliedPredicate merely wraps its argument and
 remain unevaluated. To evaluate it, use the ask() function.
    
@@ -963,7 +963,7 @@ 
    Querying
 is ask():
    
 
    
 
    
-sympy.assumptions.ask.ask(proposition, assumptions=True, context={})[source]
    
+sympy.assumptions.ask.ask(proposition, assumptions=True, context={})[source]
 
    Function to evaluate the proposition with assumptions.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/assumptions/predicates.html b/dev/modules/assumptions/predicates.html
index 80441e284e3..5b46680c1c1 100644
--- a/dev/modules/assumptions/predicates.html
+++ b/dev/modules/assumptions/predicates.html
@@ -804,7 +804,7 @@ 
    Documentation Version
    
 
    Common
    
 
    
 
    
-class sympy.assumptions.predicates.common.IsTruePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.common.IsTruePredicate(*args, **kwargs)[source]
 
    Generic predicate.
    
 
    Explanation
    
 
    ask(Q.is_true(x)) is true iff x is true. This only makes
@@ -849,7 +849,7 @@ 
    Common
 
    
-class sympy.assumptions.predicates.common.CommutativePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.common.CommutativePredicate(*args, **kwargs)[source]
 
    Commutative predicate.
    
 
    Explanation
    
 
    ask(Q.commutative(x)) is true iff x commutes with any other
@@ -869,7 +869,7 @@ 
    CommonCalculus
    
 
    
 
    
-class sympy.assumptions.predicates.calculus.FinitePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.calculus.FinitePredicate(*args, **kwargs)[source]
 
    Finite number predicate.
    
 
    Explanation
    
 
    Q.finite(x) is true if x is a number but neither an infinity
@@ -913,7 +913,7 @@ 
    Calculus
 
 
    
 
    
-class sympy.assumptions.predicates.calculus.InfinitePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.calculus.InfinitePredicate(*args, **kwargs)[source]
 
    Infinite number predicate.
    
 
    Q.infinite(x) is true iff the absolute value of x is
 infinity.
    
@@ -932,7 +932,7 @@ 
    Calculus
 
    Matrix
    
 
    
 
    
-class sympy.assumptions.predicates.matrices.SymmetricPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.SymmetricPredicate(*args, **kwargs)[source]
 
    Symmetric matrix predicate.
    
 
    Explanation
    
 
    Q.symmetric(x) is true iff x is a square matrix and is equal to
@@ -969,7 +969,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.InvertiblePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.InvertiblePredicate(*args, **kwargs)[source]
 
    Invertible matrix predicate.
    
 
    Explanation
    
 
    Q.invertible(x) is true iff x is an invertible matrix.
@@ -1006,7 +1006,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.OrthogonalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.OrthogonalPredicate(*args, **kwargs)[source]
 
    Orthogonal matrix predicate.
    
 
    Explanation
    
 
    Q.orthogonal(x) is true iff x is an orthogonal matrix.
@@ -1048,7 +1048,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.UnitaryPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.UnitaryPredicate(*args, **kwargs)[source]
 
    Unitary matrix predicate.
    
 
    Explanation
    
 
    Q.unitary(x) is true iff x is a unitary matrix.
@@ -1087,7 +1087,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.PositiveDefinitePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.PositiveDefinitePredicate(*args, **kwargs)[source]
 
    Positive definite matrix predicate.
    
 
    Explanation
    
 
    If \(M\) is a \(n \times n\) symmetric real matrix, it is said
@@ -1126,7 +1126,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.UpperTriangularPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.UpperTriangularPredicate(*args, **kwargs)[source]
 
    Upper triangular matrix predicate.
    
 
    Explanation
    
 
    A matrix \(M\) is called upper triangular matrix if \(M_{ij}=0\)
@@ -1158,7 +1158,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.LowerTriangularPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.LowerTriangularPredicate(*args, **kwargs)[source]
 
    Lower triangular matrix predicate.
    
 
    Explanation
    
 
    A matrix \(M\) is called lower triangular matrix if \(M_{ij}=0\)
@@ -1190,7 +1190,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.DiagonalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.DiagonalPredicate(*args, **kwargs)[source]
 
    Diagonal matrix predicate.
    
 
    Explanation
    
 
    Q.diagonal(x) is true iff x is a diagonal matrix. A diagonal
@@ -1225,7 +1225,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.FullRankPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.FullRankPredicate(*args, **kwargs)[source]
 
    Fullrank matrix predicate.
    
 
    Explanation
    
 
    Q.fullrank(x) is true iff x is a full rank matrix.
@@ -1255,7 +1255,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.SquarePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.SquarePredicate(*args, **kwargs)[source]
 
    Square matrix predicate.
    
 
    Explanation
    
 
    Q.square(x) is true iff x is a square matrix. A square matrix
@@ -1293,7 +1293,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.IntegerElementsPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.IntegerElementsPredicate(*args, **kwargs)[source]
 
    Integer elements matrix predicate.
    
 
    Explanation
    
 
    Q.integer_elements(x) is true iff all the elements of x
@@ -1317,7 +1317,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.RealElementsPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.RealElementsPredicate(*args, **kwargs)[source]
 
    Real elements matrix predicate.
    
 
    Explanation
    
 
    Q.real_elements(x) is true iff all the elements of x
@@ -1341,7 +1341,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.ComplexElementsPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.ComplexElementsPredicate(*args, **kwargs)[source]
 
    Complex elements matrix predicate.
    
 
    Explanation
    
 
    Q.complex_elements(x) is true iff all the elements of x
@@ -1367,7 +1367,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.SingularPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.SingularPredicate(*args, **kwargs)[source]
 
    Singular matrix predicate.
    
 
    A matrix is singular iff the value of its determinant is 0.
    
 
    Examples
    
@@ -1398,7 +1398,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.NormalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.NormalPredicate(*args, **kwargs)[source]
 
    Normal matrix predicate.
    
 
    A matrix is normal if it commutes with its conjugate transpose.
    
 
    Examples
    
@@ -1427,7 +1427,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.TriangularPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.TriangularPredicate(*args, **kwargs)[source]
 
    Triangular matrix predicate.
    
 
    Explanation
    
 
    Q.triangular(X) is true if X is one that is either lower
@@ -1460,7 +1460,7 @@ 
    Matrix
 
    
-class sympy.assumptions.predicates.matrices.UnitTriangularPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.matrices.UnitTriangularPredicate(*args, **kwargs)[source]
 
    Unit triangular matrix predicate.
    
 
    Explanation
    
 
    A unit triangular matrix is a triangular matrix with 1s
@@ -1487,7 +1487,7 @@ 
    MatrixNumber Theory
    
 
    
 
    
-class sympy.assumptions.predicates.ntheory.EvenPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.ntheory.EvenPredicate(*args, **kwargs)[source]
 
    Even number predicate.
    
 
    Explanation
    
 
    ask(Q.even(x)) is true iff x belongs to the set of even
@@ -1516,7 +1516,7 @@ 
    Number Theory
 
    
-class sympy.assumptions.predicates.ntheory.OddPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.ntheory.OddPredicate(*args, **kwargs)[source]
 
    Odd number predicate.
    
 
    Explanation
    
 
    ask(Q.odd(x)) is true iff x belongs to the set of odd numbers.
    
@@ -1544,7 +1544,7 @@ 
    Number Theory
 
    
-class sympy.assumptions.predicates.ntheory.PrimePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.ntheory.PrimePredicate(*args, **kwargs)[source]
 
    Prime number predicate.
    
 
    Explanation
    
 
    ask(Q.prime(x)) is true iff x is a natural number greater
@@ -1576,7 +1576,7 @@ 
    Number Theory
 
    
-class sympy.assumptions.predicates.ntheory.CompositePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.ntheory.CompositePredicate(*args, **kwargs)[source]
 
    Composite number predicate.
    
 
    Explanation
    
 
    ask(Q.composite(x)) is true iff x is a positive integer and has
@@ -1608,7 +1608,7 @@ 
    Number Theory
    
 
    
 
    
-class sympy.assumptions.predicates.order.PositivePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.PositivePredicate(*args, **kwargs)[source]
 
    Positive real number predicate.
    
 
    Explanation
    
 
    Q.positive(x) is true iff x is real and \(x > 0\), that is if x
@@ -1656,7 +1656,7 @@ 
    Order
 
 
    
 
    
-class sympy.assumptions.predicates.order.NegativePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.NegativePredicate(*args, **kwargs)[source]
 
    Negative number predicate.
    
 
    Explanation
    
 
    Q.negative(x) is true iff x is a real number and \(x < 0\), that is,
@@ -1704,7 +1704,7 @@ 
    Order
 
 
    
 
    
-class sympy.assumptions.predicates.order.ZeroPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.ZeroPredicate(*args, **kwargs)[source]
 
    Zero number predicate.
    
 
    Explanation
    
 
    ask(Q.zero(x)) is true iff the value of x is zero.
    
@@ -1735,7 +1735,7 @@ 
    Order
 
 
    
 
    
-class sympy.assumptions.predicates.order.NonZeroPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.NonZeroPredicate(*args, **kwargs)[source]
 
    Nonzero real number predicate.
    
 
    Explanation
    
 
    ask(Q.nonzero(x)) is true iff x is real and x is not zero.  Note in
@@ -1782,7 +1782,7 @@ 
    Order
 
 
    
 
    
-class sympy.assumptions.predicates.order.NonPositivePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.NonPositivePredicate(*args, **kwargs)[source]
 
    Nonpositive real number predicate.
    
 
    Explanation
    
 
    ask(Q.nonpositive(x)) is true iff x belongs to the set of
@@ -1826,7 +1826,7 @@ 
    Order
 
 
    
 
    
-class sympy.assumptions.predicates.order.NonNegativePredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.order.NonNegativePredicate(*args, **kwargs)[source]
 
    Nonnegative real number predicate.
    
 
    Explanation
    
 
    ask(Q.nonnegative(x)) is true iff x belongs to the set of
@@ -1871,7 +1871,7 @@ 
    Order
 
    Sets
    
 
    
 
    
-class sympy.assumptions.predicates.sets.IntegerPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.IntegerPredicate(*args, **kwargs)[source]
 
    Integer predicate.
    
 
    Explanation
    
 
    Q.integer(x) is true iff x belongs to the set of integer
@@ -1904,7 +1904,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.RationalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.RationalPredicate(*args, **kwargs)[source]
 
    Rational number predicate.
    
 
    Explanation
    
 
    Q.rational(x) is true iff x belongs to the set of
@@ -1939,7 +1939,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.IrrationalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.IrrationalPredicate(*args, **kwargs)[source]
 
    Irrational number predicate.
    
 
    Explanation
    
 
    Q.irrational(x) is true iff x  is any real number that
@@ -1976,7 +1976,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.RealPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.RealPredicate(*args, **kwargs)[source]
 
    Real number predicate.
    
 
    Explanation
    
 
    Q.real(x) is true iff x is a real number, i.e., it is in the
@@ -2047,7 +2047,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.ExtendedRealPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.ExtendedRealPredicate(*args, **kwargs)[source]
 
    Extended real predicate.
    
 
    Explanation
    
 
    Q.extended_real(x) is true iff x is a real number or
@@ -2078,7 +2078,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.HermitianPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.HermitianPredicate(*args, **kwargs)[source]
 
    Hermitian predicate.
    
 
    Explanation
    
 
    ask(Q.hermitian(x)) is true iff x belongs to the set of
@@ -2103,7 +2103,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.ComplexPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.ComplexPredicate(*args, **kwargs)[source]
 
    Complex number predicate.
    
 
    Explanation
    
 
    Q.complex(x) is true iff x belongs to the set of complex
@@ -2139,7 +2139,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.ImaginaryPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.ImaginaryPredicate(*args, **kwargs)[source]
 
    Imaginary number predicate.
    
 
    Explanation
    
 
    Q.imaginary(x) is true iff x can be written as a real
@@ -2176,7 +2176,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.AntihermitianPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.AntihermitianPredicate(*args, **kwargs)[source]
 
    Antihermitian predicate.
    
 
    Explanation
    
 
    Q.antihermitian(x) is true iff x belongs to the field of
@@ -2203,7 +2203,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.AlgebraicPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.AlgebraicPredicate(*args, **kwargs)[source]
 
    Algebraic number predicate.
    
 
    Explanation
    
 
    Q.algebraic(x) is true iff x belongs to the set of
@@ -2243,7 +2243,7 @@ 
    Sets
 
    
-class sympy.assumptions.predicates.sets.TranscendentalPredicate(*args, **kwargs)[source]
    
+class sympy.assumptions.predicates.sets.TranscendentalPredicate(*args, **kwargs)[source]
 
    Transcedental number predicate.
    
 
    Explanation
    
 
    Q.transcendental(x) is true iff x belongs to the set of
diff --git a/dev/modules/assumptions/refine.html b/dev/modules/assumptions/refine.html
index c45f3432c13..67bddc19de3 100644
--- a/dev/modules/assumptions/refine.html
+++ b/dev/modules/assumptions/refine.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Refine
    
 
    
 
    
-sympy.assumptions.refine.refine(expr, assumptions=True)[source]
    
+sympy.assumptions.refine.refine(expr, assumptions=True)[source]
 
    Simplify an expression using assumptions.
    
 
    Explanation
    
 
    Unlike simplify() which performs structural simplification
@@ -840,7 +840,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_Pow(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_Pow(expr, assumptions)[source]
 
    Handler for instances of Pow.
    
 
    Examples
    
 
    >>> from sympy import Q
@@ -868,7 +868,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_abs(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_abs(expr, assumptions)[source]
 
    Handler for the absolute value.
    
 
    Examples
    
 
    >>> from sympy import Q, Abs
@@ -885,7 +885,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_arg(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_arg(expr, assumptions)[source]
 
    Handler for complex argument
    
 
    Explanation
    
 
    >>> from sympy.assumptions.refine import refine_arg
@@ -901,7 +901,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_atan2(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_atan2(expr, assumptions)[source]
 
    Handler for the atan2 function.
    
 
    Examples
    
 
    >>> from sympy import Q, atan2
@@ -927,7 +927,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_im(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_im(expr, assumptions)[source]
 
    Handler for imaginary part.
    
 
    Explanation
    
 
    >>> from sympy.assumptions.refine import refine_im
@@ -943,7 +943,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_matrixelement(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_matrixelement(expr, assumptions)[source]
 
    Handler for symmetric part.
    
 
    Examples
    
 
    >>> from sympy.assumptions.refine import refine_matrixelement
@@ -959,7 +959,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_re(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_re(expr, assumptions)[source]
 
    Handler for real part.
    
 
    Examples
    
 
    >>> from sympy.assumptions.refine import refine_re
@@ -975,7 +975,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.assumptions.refine.refine_sign(expr, assumptions)[source]
    
+sympy.assumptions.refine.refine_sign(expr, assumptions)[source]
 
    Handler for sign.
    
 
    Examples
    
 
    >>> from sympy.assumptions.refine import refine_sign
diff --git a/dev/modules/calculus/index.html b/dev/modules/calculus/index.html
index 1eb599527f2..5c9658740aa 100644
--- a/dev/modules/calculus/index.html
+++ b/dev/modules/calculus/index.html
@@ -805,7 +805,7 @@ 
    Documentation Version
    
 Euler-Lagrange Equations for given Lagrangian.
    
 
    
 
    
-sympy.calculus.euler.euler_equations(L, funcs=(), vars=())[source]
    
+sympy.calculus.euler.euler_equations(L, funcs=(), vars=())[source]
 
    Find the Euler-Lagrange equations [R31] for a given Lagrangian.
    
 
    
 
    Parameters:
    
@@ -891,7 +891,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Return whether the function is decreasing in the given interval.
    
 
    
 
    Parameters:
    
@@ -949,7 +949,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Return whether the function is increasing in the given interval.
    
 
    
 
    Parameters:
    
@@ -1003,7 +1003,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Return whether the function is monotonic in the given interval.
    
 
    
 
    Parameters:
    
@@ -1065,7 +1065,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Return whether the function is strictly decreasing in the given interval.
    
 
    
 
    Parameters:
    
@@ -1119,7 +1119,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Return whether the function is strictly increasing in the given interval.
    
 
    
 
    Parameters:
    
@@ -1174,7 +1174,7 @@ 
    Documentation Version
    
 
    symbol=None,
    
 
    
 
-)[source]
+)[source]
 
    Helper function for functions checking function monotonicity.
    
 
    
 
    Parameters:
    
@@ -1213,7 +1213,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.singularities.singularities(expression, symbol, domain=None)[source]
    
+sympy.calculus.singularities.singularities(expression, symbol, domain=None)[source]
 
    Find singularities of a given function.
    
 
    
 
    Parameters:
    
@@ -1300,7 +1300,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.finite_diff.apply_finite_diff(order, x_list, y_list, x0=0)[source]
    
+sympy.calculus.finite_diff.apply_finite_diff(order, x_list, y_list, x0=0)[source]
 
    Calculates the finite difference approximation of
 the derivative of requested order at x0 from points
 provided in x_list and y_list.
    
@@ -1380,7 +1380,7 @@ 
    Documentation Version
    
 
    evaluate=False,
    
 
    
 
-)[source]
+)[source]
 
    Differentiate expr and replace Derivatives with finite differences.
    
 
    
 
    Parameters:
    
@@ -1432,7 +1432,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.finite_diff.finite_diff_weights(order, x_list, x0=1)[source]
    
+sympy.calculus.finite_diff.finite_diff_weights(order, x_list, x0=1)[source]
 
    Calculates the finite difference weights for an arbitrarily spaced
 one-dimensional grid (x_list) for derivatives at x0 of order
 0, 1, …, up to order using a recursive formula. Order of accuracy
@@ -1570,7 +1570,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.continuous_domain(f, symbol, domain)[source]
    
+sympy.calculus.util.continuous_domain(f, symbol, domain)[source]
 
    Returns the domain on which the function expression f is continuous.
    
 
    This function is limited by the ability to determine the various
 singularities and discontinuities of the given function.
@@ -1623,7 +1623,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.function_range(f, symbol, domain)[source]
    
+sympy.calculus.util.function_range(f, symbol, domain)[source]
 
    Finds the range of a function in a given domain.
 This method is limited by the ability to determine the singularities and
 determine limits.
    
@@ -1680,7 +1680,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.is_convex(f, *syms, domain=Reals)[source]
    
+sympy.calculus.util.is_convex(f, *syms, domain=Reals)[source]
 
    Determines the  convexity of the function passed in the argument.
    
 
    
 
    Parameters:
    
@@ -1757,7 +1757,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.lcim(numbers)[source]
    
+sympy.calculus.util.lcim(numbers)[source]
 
    Returns the least common integral multiple of a list of numbers.
    
 
    The numbers can be rational or irrational or a mixture of both.
 \(None\) is returned for incommensurable numbers.
    
@@ -1789,7 +1789,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.maximum(f, symbol, domain=Reals)[source]
    
+sympy.calculus.util.maximum(f, symbol, domain=Reals)[source]
 
    Returns the maximum value of a function in the given domain.
    
 
    
 
    Parameters:
    
@@ -1836,7 +1836,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.minimum(f, symbol, domain=Reals)[source]
    
+sympy.calculus.util.minimum(f, symbol, domain=Reals)[source]
 
    Returns the minimum value of a function in the given domain.
    
 
    
 
    Parameters:
    
@@ -1883,7 +1883,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.not_empty_in(finset_intersection, *syms)[source]
    
+sympy.calculus.util.not_empty_in(finset_intersection, *syms)[source]
 
    Finds the domain of the functions in finset_intersection in which the
 finite_set is not-empty.
    
 
    
@@ -1930,7 +1930,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.periodicity(f, symbol, check=False)[source]
    
+sympy.calculus.util.periodicity(f, symbol, check=False)[source]
 
    Tests the given function for periodicity in the given symbol.
    
 
    
 
    Parameters:
    
@@ -1990,7 +1990,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.calculus.util.stationary_points(f, symbol, domain=Reals)[source]
    
+sympy.calculus.util.stationary_points(f, symbol, domain=Reals)[source]
 
    Returns the stationary points of a function (where derivative of the
 function is 0) in the given domain.
    
 
    
diff --git a/dev/modules/categories.html b/dev/modules/categories.html
index 5cfcddda3b2..a681ee603b9 100644
--- a/dev/modules/categories.html
+++ b/dev/modules/categories.html
@@ -826,7 +826,7 @@ 
    Introduction
 
    
-class sympy.categories.Object(name, **assumptions)[source]
    
+class sympy.categories.Object(name, **assumptions)[source]
 
    The base class for any kind of object in an abstract category.
    
 
    Explanation
    
 
    While technically any instance of Basic will do, this
@@ -836,7 +836,7 @@ 
    Introduction
 
    
-class sympy.categories.Morphism(domain, codomain)[source]
    
+class sympy.categories.Morphism(domain, codomain)[source]
 
    The base class for any morphism in an abstract category.
    
 
    Explanation
    
 
    In abstract categories, a morphism is an arrow between two
@@ -869,7 +869,7 @@ 
    Introduction
 
    
-compose(other)[source]
    
+compose(other)[source]
 
    Composes self with the supplied morphism.
    
 
    The order of elements in the composition is the usual order,
 i.e., to construct \(g\circ f\) use g.compose(f).
    
@@ -910,7 +910,7 @@ 
    Introduction
 
    
-class sympy.categories.NamedMorphism(domain, codomain, name)[source]
    
+class sympy.categories.NamedMorphism(domain, codomain, name)[source]
 
    Represents a morphism which has a name.
    
 
    Explanation
    
 
    Names are used to distinguish between morphisms which have the
@@ -950,7 +950,7 @@ 
    Introduction
 
    
-class sympy.categories.CompositeMorphism(*components)[source]
    
+class sympy.categories.CompositeMorphism(*components)[source]
 
    Represents a morphism which is a composition of other morphisms.
    
 
    Explanation
    
 
    Two composite morphisms are equal if the morphisms they were
@@ -1032,7 +1032,7 @@ 
    Introduction
 
    
-flatten(new_name)[source]
    
+flatten(new_name)[source]
 
    Forgets the composite structure of this morphism.
    
 
    Explanation
    
 
    If new_name is not empty, returns a NamedMorphism
@@ -1057,7 +1057,7 @@ 
    Introduction
 
    
-class sympy.categories.IdentityMorphism(domain)[source]
    
+class sympy.categories.IdentityMorphism(domain)[source]
 
    Represents an identity morphism.
    
 
    Explanation
    
 
    An identity morphism is a morphism with equal domain and codomain,
@@ -1091,7 +1091,7 @@ 
    Introductioncommutative_diagrams=EmptySet,
    
 
    
 
-)[source]
+)[source]
 
    An (abstract) category.
    
 
    Explanation
    
 
    A category [JoyOfCats] is a quadruple \(\mbox{K} = (O, \hom, id,
@@ -1188,7 +1188,7 @@ 
    Introduction
 
    
-class sympy.categories.Diagram(*args)[source]
    
+class sympy.categories.Diagram(*args)[source]
 
    Represents a diagram in a certain category.
    
 
    Explanation
    
 
    Informally, a diagram is a collection of objects of a category and
@@ -1262,7 +1262,7 @@ 
    Introduction
 
    
-hom(A, B)[source]
    
+hom(A, B)[source]
 
    Returns a 2-tuple of sets of morphisms between objects A and
 B: one set of morphisms listed as premises, and the other set
 of morphisms listed as conclusions.
    
@@ -1287,7 +1287,7 @@ 
    Introduction
 
    
-is_subdiagram(diagram)[source]
    
+is_subdiagram(diagram)[source]
 
    Checks whether diagram is a subdiagram of self.
 Diagram \(D'\) is a subdiagram of \(D\) if all premises
 (conclusions) of \(D'\) are contained in the premises
@@ -1352,7 +1352,7 @@ 
    Introduction
 
    
-subdiagram_from_objects(objects)[source]
    
+subdiagram_from_objects(objects)[source]
 
    If objects is a subset of the objects of self, returns
 a diagram which has as premises all those premises of self
 which have a domains and codomains in objects, likewise
@@ -1382,7 +1382,7 @@ 
    Introduction
 
    
-class sympy.categories.diagram_drawing.DiagramGrid(diagram, groups=None, **hints)[source]
    
+class sympy.categories.diagram_drawing.DiagramGrid(diagram, groups=None, **hints)[source]
 
    Constructs and holds the fitting of the diagram into a grid.
    
 
    Explanation
    
 
    The mission of this class is to analyse the structure of the
@@ -1585,7 +1585,7 @@ 
    Introductionlabel,
    
 
    
 
-)[source]
+)[source]
 
    Stores the information necessary for producing an Xy-pic
 description of an arrow.
    
 
    The principal goal of this class is to abstract away the string
@@ -1680,7 +1680,7 @@ 
    Introduction
 
    
-class sympy.categories.diagram_drawing.XypicDiagramDrawer[source]
    
+class sympy.categories.diagram_drawing.XypicDiagramDrawer[source]
 
    Given a Diagram and the corresponding
 DiagramGrid, produces the Xy-pic representation of the
 diagram.
    
@@ -1802,7 +1802,7 @@ 
    Introductiondiagram_format='',
    
 
    
 
-)[source]
+)[source]
 
    Returns the Xy-pic representation of diagram laid out in
 grid.
    
 
    Consider the following simple triangle diagram.
    
@@ -1865,7 +1865,7 @@ 
    Introduction**hints,
    
 
    
 
-)[source]
+)[source]
 
    Provides a shortcut combining DiagramGrid and
 XypicDiagramDrawer.  Returns an Xy-pic presentation of
 diagram.  The argument masked is a list of morphisms which
@@ -1912,7 +1912,7 @@ 
    Introduction**hints,
    
 
    
 
-)[source]
+)[source]
 
    Combines the functionality of xypic_draw_diagram and
 sympy.printing.preview.  The arguments masked,
 diagram_format, groups, and hints are passed to
diff --git a/dev/modules/codegen.html b/dev/modules/codegen.html
index 340512065f5..33ad21ccee0 100644
--- a/dev/modules/codegen.html
+++ b/dev/modules/codegen.html
@@ -1341,7 +1341,7 @@ 
    Autowrap
 
    opportunistic=True,
    
 
    
 
-)[source]
+)[source]
 
    Specialization of ReplaceOptim for functions evaluating “f(x) - 1”.
    
 
    
 
    Parameters:
    
@@ -1380,7 +1380,7 @@ 
    Autowrap
 
    
 
    
 
    
-replace_in_Add(e)[source]
    
+replace_in_Add(e)[source]
 
    passed as second argument to Basic.replace(…)
    
 
    
 
@@ -1388,7 +1388,7 @@ 
    Autowrap
 
 
    
 
    
-class sympy.codegen.rewriting.Optimization(cost_function=None, priority=1)[source]
    
+class sympy.codegen.rewriting.Optimization(cost_function=None, priority=1)[source]
 
    Abstract base class for rewriting optimization.
    
 
    Subclasses should implement __call__ taking an expression
 as argument.
    
@@ -1402,7 +1402,7 @@ 
    Autowrap
 
 
    
 
    
-class sympy.codegen.rewriting.ReplaceOptim(query, value, **kwargs)[source]
    
+class sympy.codegen.rewriting.ReplaceOptim(query, value, **kwargs)[source]
 
    Rewriting optimization calling replace on expressions.
    
 
    
 
    Parameters:
    
@@ -1443,7 +1443,7 @@ 
    Autowrap
 
    base_req=<function <lambda>>,
    
 
    
 
-)[source]
+)[source]
 
    Creates an instance of ReplaceOptim for expanding Pow.
    
 
    
 
    Parameters:
    
@@ -1480,7 +1480,7 @@ 
    Autowrap
 
 
    
 
    
-sympy.codegen.rewriting.optimize(expr, optimizations)[source]
    
+sympy.codegen.rewriting.optimize(expr, optimizations)[source]
 
    Apply optimizations to an expression.
    
 
    
 
    Parameters:
    
@@ -1521,7 +1521,7 @@ 
    Autowrap
 
    
 
    
 
    
-class sympy.codegen.matrix_nodes.MatrixSolve(*args, **kwargs)[source]
    
+class sympy.codegen.matrix_nodes.MatrixSolve(*args, **kwargs)[source]
 
    Represents an operation to solve a linear matrix equation.
    
 
    
 
    Parameters:
    
@@ -1569,7 +1569,7 @@ 
    Autowrap
 
    **kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Approximates functions by expanding them as a series.
    
 
    
 
    Parameters:
    
@@ -1616,7 +1616,7 @@ 
    Autowrap
 
 
    
 
    
-class sympy.codegen.approximations.SumApprox(bounds, reltol, **kwargs)[source]
    
+class sympy.codegen.approximations.SumApprox(bounds, reltol, **kwargs)[source]
 
    Approximates sum by neglecting small terms.
    
 
    
 
    Parameters:
    
@@ -1778,7 +1778,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Assignment(lhs, rhs)[source]
    
+class sympy.codegen.ast.Assignment(lhs, rhs)[source]
 
    Represents variable assignment for code generation.
    
 
    
 
    Parameters:
    
@@ -1818,7 +1818,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.AssignmentBase(lhs, rhs)[source]
    
+class sympy.codegen.ast.AssignmentBase(lhs, rhs)[source]
 
    Abstract base class for Assignment and AugmentedAssignment.
    
 
    Attributes:
    
 
    
@@ -1829,7 +1829,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Attribute(possibly parametrized)[source]
    
+class sympy.codegen.ast.Attribute(possibly parametrized)[source]
 
    For use with sympy.codegen.ast.Node (which takes instances of
 Attribute as attrs).
    
 
    
@@ -1856,7 +1856,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.AugmentedAssignment(lhs, rhs)[source]
    
+class sympy.codegen.ast.AugmentedAssignment(lhs, rhs)[source]
 
    Base class for augmented assignments.
    
 
    Attributes:
    
 
    
@@ -1868,7 +1868,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.BreakToken(*args, **kwargs)[source]
    
+class sympy.codegen.ast.BreakToken(*args, **kwargs)[source]
 
    Represents ‘break’ in C/Python (‘exit’ in Fortran).
    
 
    Use the premade instance break_ or instantiate manually.
    
 
    Examples
    
@@ -1884,7 +1884,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.CodeBlock(*args)[source]
    
+class sympy.codegen.ast.CodeBlock(*args)[source]
 
    Represents a block of code.
    
 
    Explanation
    
 
    For now only assignments are supported. This restriction will be lifted in
@@ -1929,7 +1929,7 @@ 
    Using the nodesorder='canonical',
    
 
    
 
-)[source]
+)[source]
 
    Return a new code block with common subexpressions eliminated.
    
 
    Explanation
    
 
    See the docstring of sympy.simplify.cse_main.cse() for more
@@ -1959,7 +1959,7 @@ 
    Using the nodes
 
    
-classmethod topological_sort(assignments)[source]
    
+classmethod topological_sort(assignments)[source]
 
    Return a CodeBlock with topologically sorted assignments so that
 variables are assigned before they are used.
    
 
    Examples
    
@@ -1991,19 +1991,19 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Comment(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Comment(*args, **kwargs)[source]
 
    Represents a comment.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.ComplexType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.ComplexType(*args, **kwargs)[source]
 
    Represents a complex floating point number.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.ContinueToken(*args, **kwargs)[source]
    
+class sympy.codegen.ast.ContinueToken(*args, **kwargs)[source]
 
    Represents ‘continue’ in C/Python (‘cycle’ in Fortran)
    
 
    Use the premade instance continue_ or instantiate manually.
    
 
    Examples
    
@@ -2019,7 +2019,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Declaration(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Declaration(*args, **kwargs)[source]
 
    Represents a variable declaration
    
 
    
 
    Parameters:
    
@@ -2044,7 +2044,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Element(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Element(*args, **kwargs)[source]
 
    Element in (a possibly N-dimensional) array.
    
 
    Examples
    
 
    >>> from sympy.codegen.ast import Element
@@ -2064,11 +2064,11 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.FloatBaseType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.FloatBaseType(*args, **kwargs)[source]
 
    Represents a floating point number type.
    
 
    
 
    
-cast_nocheck[source]
    
+cast_nocheck[source]
 
    alias of Float
    
 
    
 
@@ -2076,7 +2076,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.FloatType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.FloatType(*args, **kwargs)[source]
 
    Represents a floating point type with fixed bit width.
    
 
    Base 2 & one sign bit is assumed.
    
 
    
@@ -2123,7 +2123,7 @@ 
    Using the nodes
 
    
-cast_nocheck(value)[source]
    
+cast_nocheck(value)[source]
 
    Casts without checking if out of bounds or subnormal.
    
 
    
 
@@ -2180,7 +2180,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.For(*args, **kwargs)[source]
    
+class sympy.codegen.ast.For(*args, **kwargs)[source]
 
    Represents a ‘for-loop’ in the code.
    
 
    
 
    
@@ -2232,7 +2232,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.FunctionCall(*args, **kwargs)[source]
    
+class sympy.codegen.ast.FunctionCall(*args, **kwargs)[source]
 
    Represents a call to a function in the code.
    
 
    
 
    Parameters:
    
@@ -2252,7 +2252,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.FunctionDefinition(*args, **kwargs)[source]
    
+class sympy.codegen.ast.FunctionDefinition(*args, **kwargs)[source]
 
    Represents a function definition in the code.
    
 
    
 
    Parameters:
    
@@ -2283,7 +2283,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.FunctionPrototype(*args, **kwargs)[source]
    
+class sympy.codegen.ast.FunctionPrototype(*args, **kwargs)[source]
 
    Represents a function prototype
    
 
    Allows the user to generate forward declaration in e.g. C/C++.
    
 
    
@@ -2307,13 +2307,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.IntBaseType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.IntBaseType(*args, **kwargs)[source]
 
    Integer base type, contains no size information.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Node(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Node(*args, **kwargs)[source]
 
    Subclass of Token, carrying the attribute ‘attrs’ (Tuple)
    
 
    Examples
    
 
    >>> from sympy.codegen.ast import Node, value_const, pointer_const
@@ -2332,7 +2332,7 @@ 
    Using the nodes
 
    
-attr_params(looking_for)[source]
    
+attr_params(looking_for)[source]
 
    Returns the parameters of the Attribute with name looking_for in self.attrs
    
 
    
 
@@ -2340,7 +2340,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.NoneToken(*args, **kwargs)[source]
    
+class sympy.codegen.ast.NoneToken(*args, **kwargs)[source]
 
    The AST equivalence of Python’s NoneType
    
 
    The corresponding instance of Python’s None is none.
    
 
    Examples
    
@@ -2354,7 +2354,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Pointer(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Pointer(*args, **kwargs)[source]
 
    Represents a pointer. See Variable.
    
 
    Examples
    
 
    Can create instances of Element:
    
@@ -2370,7 +2370,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Print(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Print(*args, **kwargs)[source]
 
    Represents print command in the code.
    
 
    
 
    Parameters:
    
@@ -2389,19 +2389,19 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.QuotedString(*args, **kwargs)[source]
    
+class sympy.codegen.ast.QuotedString(*args, **kwargs)[source]
 
    Represents a string which should be printed with quotes.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Raise(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Raise(*args, **kwargs)[source]
 
    Prints as ‘raise …’ in Python, ‘throw …’ in C++
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Return(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Return(*args, **kwargs)[source]
 
    Represents a return command in the code.
    
 
    
 
    Parameters:
    
@@ -2421,14 +2421,14 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.RuntimeError_(*args, **kwargs)[source]
    
+class sympy.codegen.ast.RuntimeError_(*args, **kwargs)[source]
 
    Represents ‘std::runtime_error’ in C++ and ‘RuntimeError’ in Python.
    
 
    Note that the latter is uncommon, and you might want to use e.g. ValueError.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Scope(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Scope(*args, **kwargs)[source]
 
    Represents a scope in the code.
    
 
    
 
    Parameters:
    
@@ -2442,13 +2442,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.SignedIntType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.SignedIntType(*args, **kwargs)[source]
 
    Represents a signed integer type.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Stream(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Stream(*args, **kwargs)[source]
 
    Represents a stream.
    
 
    There are two predefined Stream instances stdout & stderr.
    
 
    
@@ -2470,7 +2470,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.String(*args, **kwargs)[source]
    
+class sympy.codegen.ast.String(*args, **kwargs)[source]
 
    SymPy object representing a string.
    
 
    Atomic object which is not an expression (as opposed to Symbol).
    
 
    
@@ -2495,7 +2495,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Token(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Token(*args, **kwargs)[source]
 
    Base class for the AST types.
    
 
    Explanation
    
 
    Defining fields are set in _fields. Attributes (defined in _fields)
@@ -2509,7 +2509,7 @@ 
    Using the nodesnot_in_args are not passed to Basic.
    
 
    
 
    
-kwargs(exclude=(), apply=None)[source]
    
+kwargs(exclude=(), apply=None)[source]
 
    Get instance’s attributes as dict of keyword arguments.
    
 
    
 
    Parameters:
    
@@ -2529,7 +2529,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.Type(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Type(*args, **kwargs)[source]
 
    Represents a type.
    
 
    
 
    Parameters:
    
@@ -2593,7 +2593,7 @@ 
    Using the nodesprecision_targets=None,
    
 
    
 
-)[source]
+)[source]
 
    Casts a value to the data type of the instance.
    
 
    
 
    Parameters:
    
@@ -2647,7 +2647,7 @@ 
    Using the nodes
 
    
-classmethod from_expr(expr)[source]
    
+classmethod from_expr(expr)[source]
 
    Deduces type from an expression or a Symbol.
    
 
    
 
    Parameters:
    
@@ -2679,13 +2679,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.UnsignedIntType(*args, **kwargs)[source]
    
+class sympy.codegen.ast.UnsignedIntType(*args, **kwargs)[source]
 
    Represents an unsigned integer type.
    
 
    
 
 
    
 
    
-class sympy.codegen.ast.Variable(*args, **kwargs)[source]
    
+class sympy.codegen.ast.Variable(*args, **kwargs)[source]
 
    Represents a variable.
    
 
    
 
    Parameters:
    
@@ -2737,7 +2737,7 @@ 
    Using the nodes
 
    
-as_Declaration(**kwargs)[source]
    
+as_Declaration(**kwargs)[source]
 
    Convenience method for creating a Declaration instance.
    
 
    Explanation
    
 
    If the variable of the Declaration need to wrap a modified
@@ -2772,7 +2772,7 @@ 
    Using the nodescast_check=True,
    
 
    
 
-)[source]
+)[source]
 
    Alt. constructor with type deduction from Type.from_expr.
    
 
    Deduces type primarily from symbol, secondarily from value.
    
 
    
@@ -2810,7 +2810,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.ast.While(*args, **kwargs)[source]
    
+class sympy.codegen.ast.While(*args, **kwargs)[source]
 
    Represents a ‘for-loop’ in the code.
    
 
    
 
    Expressions are of the form:
    
@@ -2843,7 +2843,7 @@ 
    Using the nodes
 
    
-sympy.codegen.ast.aug_assign(lhs, op, rhs)[source]
    
+sympy.codegen.ast.aug_assign(lhs, op, rhs)[source]
 
    Create ‘lhs op= rhs’.
    
 
    
 
    Parameters:
    
@@ -2890,7 +2890,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.Cbrt(*args)[source]
    
+class sympy.codegen.cfunctions.Cbrt(*args)[source]
 
    Represents the cube root function.
    
 
    Explanation
    
 
    The reason why one would use Cbrt(x) over cbrt(x)
@@ -2911,7 +2911,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -2919,7 +2919,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.Sqrt(*args)[source]
    
+class sympy.codegen.cfunctions.Sqrt(*args)[source]
 
    Represents the square root function.
    
 
    Explanation
    
 
    The reason why one would use Sqrt(x) over sqrt(x)
@@ -2940,7 +2940,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -2948,7 +2948,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.exp2(arg)[source]
    
+class sympy.codegen.cfunctions.exp2(arg)[source]
 
    Represents the exponential function with base two.
    
 
    Explanation
    
 
    The benefit of using exp2(x) over 2**x
@@ -2969,7 +2969,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -2977,7 +2977,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.expm1(arg)[source]
    
+class sympy.codegen.cfunctions.expm1(arg)[source]
 
    Represents the exponential function minus one.
    
 
    Explanation
    
 
    The benefit of using expm1(x) over exp(x) - 1
@@ -3001,7 +3001,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3009,7 +3009,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.fma(*args)[source]
    
+class sympy.codegen.cfunctions.fma(*args)[source]
 
    Represents “fused multiply add”.
    
 
    Explanation
    
 
    The benefit of using fma(x, y, z) over x*y + z
@@ -3024,7 +3024,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3032,7 +3032,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.hypot(*args)[source]
    
+class sympy.codegen.cfunctions.hypot(*args)[source]
 
    Represents the hypotenuse function.
    
 
    Explanation
    
 
    The hypotenuse function is provided by e.g. the math library
@@ -3051,7 +3051,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3059,7 +3059,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.log10(arg)[source]
    
+class sympy.codegen.cfunctions.log10(arg)[source]
 
    Represents the logarithm function with base ten.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -3076,7 +3076,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3084,7 +3084,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.log1p(arg)[source]
    
+class sympy.codegen.cfunctions.log1p(arg)[source]
 
    Represents the natural logarithm of a number plus one.
    
 
    Explanation
    
 
    The benefit of using log1p(x) over log(x + 1)
@@ -3109,7 +3109,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3117,7 +3117,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cfunctions.log2(arg)[source]
    
+class sympy.codegen.cfunctions.log2(arg)[source]
 
    Represents the logarithm function with base two.
    
 
    Explanation
    
 
    The benefit of using log2(x) over log(x)/log(2)
@@ -3138,7 +3138,7 @@ 
    Using the nodes
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of this function.
    
 
    
 
@@ -3150,13 +3150,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.CommaOperator(*args)[source]
    
+class sympy.codegen.cnodes.CommaOperator(*args)[source]
 
    Represents the comma operator in C
    
 
    
 
 
    
 
    
-class sympy.codegen.cnodes.Label(*args, **kwargs)[source]
    
+class sympy.codegen.cnodes.Label(*args, **kwargs)[source]
 
    Label for use with e.g. goto statement.
    
 
    Examples
    
 
    >>> from sympy import ccode, Symbol
@@ -3172,7 +3172,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.PostDecrement(*args)[source]
    
+class sympy.codegen.cnodes.PostDecrement(*args)[source]
 
    Represents the post-decrement operator
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -3186,7 +3186,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.PostIncrement(*args)[source]
    
+class sympy.codegen.cnodes.PostIncrement(*args)[source]
 
    Represents the post-increment operator
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -3200,7 +3200,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.PreDecrement(*args)[source]
    
+class sympy.codegen.cnodes.PreDecrement(*args)[source]
 
    Represents the pre-decrement operator
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -3214,7 +3214,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.PreIncrement(*args)[source]
    
+class sympy.codegen.cnodes.PreIncrement(*args)[source]
 
    Represents the pre-increment operator
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -3228,19 +3228,19 @@ 
    Using the nodes
 
    
-sympy.codegen.cnodes.alignof(arg)[source]
    
+sympy.codegen.cnodes.alignof(arg)[source]
 
    Generate of FunctionCall instance for calling ‘alignof’
    
 
    
 
 
    
 
    
-class sympy.codegen.cnodes.goto(*args, **kwargs)[source]
    
+class sympy.codegen.cnodes.goto(*args, **kwargs)[source]
 
    Represents goto in C
    
 
    
 
 
    
 
    
-sympy.codegen.cnodes.sizeof(arg)[source]
    
+sympy.codegen.cnodes.sizeof(arg)[source]
 
    Generate of FunctionCall instance for calling ‘sizeof’
    
 
    Examples
    
 
    >>> from sympy.codegen.ast import real
@@ -3254,13 +3254,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.cnodes.struct(*args, **kwargs)[source]
    
+class sympy.codegen.cnodes.struct(*args, **kwargs)[source]
 
    Represents a struct in C
    
 
    
 
 
    
 
    
-class sympy.codegen.cnodes.union(*args, **kwargs)[source]
    
+class sympy.codegen.cnodes.union(*args, **kwargs)[source]
 
    Represents a union in C
    
 
    
 
@@ -3270,7 +3270,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.cxxnodes.using(*args, **kwargs)[source]
    
+class sympy.codegen.cxxnodes.using(*args, **kwargs)[source]
 
    Represents a ‘using’ statement in C++
    
 
    
 
@@ -3282,7 +3282,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.ArrayConstructor(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.ArrayConstructor(*args, **kwargs)[source]
 
    Represents an array constructor.
    
 
    Examples
    
 
    >>> from sympy import fcode
@@ -3298,7 +3298,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.Do(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.Do(*args, **kwargs)[source]
 
    Represents a Do loop in in Fortran.
    
 
    Examples
    
 
    >>> from sympy import fcode, symbols
@@ -3325,7 +3325,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.Extent(*args)[source]
    
+class sympy.codegen.fnodes.Extent(*args)[source]
 
    Represents a dimension extent.
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import Extent
@@ -3345,7 +3345,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.FortranReturn(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.FortranReturn(*args, **kwargs)[source]
 
    AST node explicitly mapped to a fortran “return”.
    
 
    Explanation
    
 
    Because a return statement in fortran is different from C, and
@@ -3364,7 +3364,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.GoTo(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.GoTo(*args, **kwargs)[source]
 
    Represents a goto statement in Fortran
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import GoTo
@@ -3378,7 +3378,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.ImpliedDoLoop(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.ImpliedDoLoop(*args, **kwargs)[source]
 
    Represents an implied do loop in Fortran.
    
 
    Examples
    
 
    >>> from sympy import Symbol, fcode
@@ -3394,7 +3394,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.Module(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.Module(*args, **kwargs)[source]
 
    Represents a module in Fortran.
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import Module
@@ -3413,7 +3413,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.Program(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.Program(*args, **kwargs)[source]
 
    Represents a ‘program’ block in Fortran.
    
 
    Examples
    
 
    >>> from sympy.codegen.ast import Print
@@ -3430,7 +3430,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.Subroutine(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.Subroutine(*args, **kwargs)[source]
 
    Represents a subroutine in Fortran.
    
 
    Examples
    
 
    >>> from sympy import fcode, symbols
@@ -3450,7 +3450,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.SubroutineCall(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.SubroutineCall(*args, **kwargs)[source]
 
    Represents a call to a subroutine in Fortran.
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import SubroutineCall
@@ -3463,7 +3463,7 @@ 
    Using the nodes
 
    
-sympy.codegen.fnodes.allocated(array)[source]
    
+sympy.codegen.fnodes.allocated(array)[source]
 
    Creates an AST node for a function call to Fortran’s “allocated(…)”
    
 
    Examples
    
 
    >>> from sympy import fcode
@@ -3489,7 +3489,7 @@ 
    Using the nodestype=None,
    
 
    
 
-)[source]
+)[source]
 
    Convenience function for creating a Variable instance for a Fortran array.
    
 
    
 
    Parameters:
    
@@ -3525,7 +3525,7 @@ 
    Using the nodes
 
    
-sympy.codegen.fnodes.bind_C(name=None)[source]
    
+sympy.codegen.fnodes.bind_C(name=None)[source]
 
    Creates an Attribute bind_C with a name.
    
 
    
 
    Parameters:
    
@@ -3553,13 +3553,13 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.cmplx(*args)[source]
    
+class sympy.codegen.fnodes.cmplx(*args)[source]
 
    Fortran complex conversion function.
    
 
    
 
 
    
 
    
-sympy.codegen.fnodes.dimension(*args)[source]
    
+sympy.codegen.fnodes.dimension(*args)[source]
 
    Creates a ‘dimension’ Attribute with (up to 7) extents.
    
 
    Examples
    
 
    >>> from sympy import fcode
@@ -3575,25 +3575,25 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.dsign(*args)[source]
    
+class sympy.codegen.fnodes.dsign(*args)[source]
 
    Fortran sign intrinsic for double precision arguments.
    
 
    
 
 
    
 
    
-class sympy.codegen.fnodes.isign(*args)[source]
    
+class sympy.codegen.fnodes.isign(*args)[source]
 
    Fortran sign intrinsic for integer arguments.
    
 
    
 
 
    
 
    
-class sympy.codegen.fnodes.kind(*args)[source]
    
+class sympy.codegen.fnodes.kind(*args)[source]
 
    Fortran kind function.
    
 
    
 
 
    
 
    
-sympy.codegen.fnodes.lbound(array, dim=None, kind=None)[source]
    
+sympy.codegen.fnodes.lbound(array, dim=None, kind=None)[source]
 
    Creates an AST node for a function call to Fortran’s “lbound(…)”
    
 
    
 
    Parameters:
    
@@ -3614,25 +3614,25 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.literal_dp(num, dps=None, precision=None)[source]
    
+class sympy.codegen.fnodes.literal_dp(num, dps=None, precision=None)[source]
 
    Fortran double precision real literal
    
 
    
 
 
    
 
    
-class sympy.codegen.fnodes.literal_sp(num, dps=None, precision=None)[source]
    
+class sympy.codegen.fnodes.literal_sp(num, dps=None, precision=None)[source]
 
    Fortran single precision real literal
    
 
    
 
 
    
 
    
-class sympy.codegen.fnodes.merge(*args)[source]
    
+class sympy.codegen.fnodes.merge(*args)[source]
 
    Fortran merge function
    
 
    
 
 
    
 
    
-sympy.codegen.fnodes.reshape(source, shape, pad=None, order=None)[source]
    
+sympy.codegen.fnodes.reshape(source, shape, pad=None, order=None)[source]
 
    Creates an AST node for a function call to Fortran’s “reshape(…)”
    
 
    
 
    Parameters:
    
@@ -3644,7 +3644,7 @@ 
    Using the nodes
 
    
-sympy.codegen.fnodes.shape(source, kind=None)[source]
    
+sympy.codegen.fnodes.shape(source, kind=None)[source]
 
    Creates an AST node for a function call to Fortran’s “shape(…)”
    
 
    
 
    Parameters:
    
@@ -3664,7 +3664,7 @@ 
    Using the nodes
 
    
-sympy.codegen.fnodes.size(array, dim=None, kind=None)[source]
    
+sympy.codegen.fnodes.size(array, dim=None, kind=None)[source]
 
    Creates an AST node for a function call to Fortran’s “size(…)”
    
 
    Examples
    
 
    >>> from sympy import fcode, Symbol
@@ -3685,7 +3685,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.use(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.use(*args, **kwargs)[source]
 
    Represents a use statement in Fortran.
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import use
@@ -3702,7 +3702,7 @@ 
    Using the nodes
 
    
-class sympy.codegen.fnodes.use_rename(*args, **kwargs)[source]
    
+class sympy.codegen.fnodes.use_rename(*args, **kwargs)[source]
 
    Represents a renaming in a use statement in Fortran.
    
 
    Examples
    
 
    >>> from sympy.codegen.fnodes import use_rename, use
@@ -3740,7 +3740,7 @@ 
    Using the nodesbounds=None,
    
 
    
 
-)[source]
+)[source]
 
    Generates an AST for Newton-Raphson method (a root-finding algorithm).
    
 
    
 
    Parameters:
    
@@ -3830,7 +3830,7 @@ 
    Using the nodes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Generates an AST for a function implementing the Newton-Raphson method.
    
 
    
 
    Parameters:
    
@@ -3884,7 +3884,7 @@ 
    Using the nodes
    Python utilities (sympy.codegen.pyutils)
    
 
    
 
    
-sympy.codegen.pyutils.render_as_module(content, standard='python3')[source]
    
+sympy.codegen.pyutils.render_as_module(content, standard='python3')[source]
 
    Renders Python code as a module (with the required imports).
    
 
    
 
    Parameters:
    
@@ -3910,7 +3910,7 @@ 
    Using the nodessettings=None,
    
 
    
 
-)[source]
+)[source]
 
    Renders a C source file (with required #include statements)
    
 
    
 
@@ -3928,7 +3928,7 @@ 
    Using the nodesprinter_settings=None,
    
 
    
 
-)[source]
+)[source]
 
    Creates a Module instance and renders it as a string.
    
 
    This generates Fortran source code for a module with the correct use statements.
    
 
    
diff --git a/dev/modules/combinatorics/galois.html b/dev/modules/combinatorics/galois.html
index 3b40e48be10..953ee80b566 100644
--- a/dev/modules/combinatorics/galois.html
+++ b/dev/modules/combinatorics/galois.html
@@ -836,7 +836,7 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S6.
    
 
    
 
@@ -855,7 +855,7 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S5.
    
 
    
 
@@ -874,7 +874,7 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S4.
    
 
    
 
@@ -893,7 +893,7 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S3.
    
 
    
 
@@ -912,7 +912,7 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S2.
    
 
    
 
@@ -931,20 +931,20 @@ 
    Referencesboundary=None,
    
 
    
 
-)[source]
+)[source]
 
    Names for the transitive subgroups of S1.
    
 
    
 
 
    
 
    
-sympy.combinatorics.galois.four_group()[source]
    
+sympy.combinatorics.galois.four_group()[source]
 
    Return a representation of the Klein four-group as a transitive subgroup
 of S4.
    
 
    
 
 
    
 
    
-sympy.combinatorics.galois.M20()[source]
    
+sympy.combinatorics.galois.M20()[source]
 
    Return a representation of the metacyclic group M20, a transitive subgroup
 of S5 that is one of the possible Galois groups for polys of degree 5.
    
 
    Notes
    
@@ -953,7 +953,7 @@ 
    References
 
    
-sympy.combinatorics.galois.S3_in_S6()[source]
    
+sympy.combinatorics.galois.S3_in_S6()[source]
 
    Return a representation of S3 as a transitive subgroup of S6.
    
 
    Notes
    
 
    The representation is found by viewing the group as the symmetries of a
@@ -962,7 +962,7 @@ 
    References
 
    
-sympy.combinatorics.galois.A4_in_S6()[source]
    
+sympy.combinatorics.galois.A4_in_S6()[source]
 
    Return a representation of A4 as a transitive subgroup of S6.
    
 
    Notes
    
 
    This was computed using find_transitive_subgroups_of_S6().
    
@@ -970,7 +970,7 @@ 
    References
 
    
-sympy.combinatorics.galois.S4m()[source]
    
+sympy.combinatorics.galois.S4m()[source]
 
    Return a representation of the S4- transitive subgroup of S6.
    
 
    Notes
    
 
    This was computed using find_transitive_subgroups_of_S6().
    
@@ -978,7 +978,7 @@ 
    References
 
    
-sympy.combinatorics.galois.S4p()[source]
    
+sympy.combinatorics.galois.S4p()[source]
 
    Return a representation of the S4+ transitive subgroup of S6.
    
 
    Notes
    
 
    This was computed using find_transitive_subgroups_of_S6().
    
@@ -986,7 +986,7 @@ 
    References
 
    
-sympy.combinatorics.galois.A4xC2()[source]
    
+sympy.combinatorics.galois.A4xC2()[source]
 
    Return a representation of the (A4 x C2) transitive subgroup of S6.
    
 
    Notes
    
 
    This was computed using find_transitive_subgroups_of_S6().
    
@@ -994,7 +994,7 @@ 
    References
 
    
-sympy.combinatorics.galois.S4xC2()[source]
    
+sympy.combinatorics.galois.S4xC2()[source]
 
    Return a representation of the (S4 x C2) transitive subgroup of S6.
    
 
    Notes
    
 
    This was computed using find_transitive_subgroups_of_S6().
    
@@ -1002,7 +1002,7 @@ 
    References
 
    
-sympy.combinatorics.galois.G18()[source]
    
+sympy.combinatorics.galois.G18()[source]
 
    Return a representation of the group G18, a transitive subgroup of S6
 isomorphic to the semidirect product of C3^2 with C2.
    
 
    Notes
    
@@ -1011,7 +1011,7 @@ 
    References
 
    
-sympy.combinatorics.galois.G36m()[source]
    
+sympy.combinatorics.galois.G36m()[source]
 
    Return a representation of the group G36-, a transitive subgroup of S6
 isomorphic to the semidirect product of C3^2 with C2^2.
    
 
    Notes
    
@@ -1020,7 +1020,7 @@ 
    References
 
    
-sympy.combinatorics.galois.G36p()[source]
    
+sympy.combinatorics.galois.G36p()[source]
 
    Return a representation of the group G36+, a transitive subgroup of S6
 isomorphic to the semidirect product of C3^2 with C4.
    
 
    Notes
    
@@ -1029,7 +1029,7 @@ 
    References
 
    
-sympy.combinatorics.galois.G72()[source]
    
+sympy.combinatorics.galois.G72()[source]
 
    Return a representation of the group G72, a transitive subgroup of S6
 isomorphic to the semidirect product of C3^2 with D4.
    
 
    Notes
    
@@ -1038,7 +1038,7 @@ 
    References
 
    
-sympy.combinatorics.galois.PSL2F5()[source]
    
+sympy.combinatorics.galois.PSL2F5()[source]
 
    Return a representation of the group \(PSL_2(\mathbb{F}_5)\), as a transitive
 subgroup of S6, isomorphic to \(A_5\).
    
 
    Notes
    
@@ -1047,7 +1047,7 @@ 
    References
 
    
-sympy.combinatorics.galois.PGL2F5()[source]
    
+sympy.combinatorics.galois.PGL2F5()[source]
 
    Return a representation of the group \(PGL_2(\mathbb{F}_5)\), as a transitive
 subgroup of S6, isomorphic to \(S_5\).
    
 
    Notes
    
@@ -1063,7 +1063,7 @@ 
    Referencesprint_report=False,
    
 
    
 
-)[source]
+)[source]
 
    Search for certain transitive subgroups of \(S_6\).
    
 
    The symmetric group \(S_6\) has 16 different transitive subgroups, up to
 conjugacy. Some are more easily constructed than others. For example, the
diff --git a/dev/modules/combinatorics/graycode.html b/dev/modules/combinatorics/graycode.html
index 1ce820a44af..02a3ae9a51b 100644
--- a/dev/modules/combinatorics/graycode.html
+++ b/dev/modules/combinatorics/graycode.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Gray Code
    
 
    
 
    
-class sympy.combinatorics.graycode.GrayCode(n, *args, **kw_args)[source]
    
+class sympy.combinatorics.graycode.GrayCode(n, *args, **kw_args)[source]
 
    A Gray code is essentially a Hamiltonian walk on
 a n-dimensional cube with edge length of one.
 The vertices of the cube are represented by vectors
@@ -856,7 +856,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generate_gray(**hints)[source]
    
+generate_gray(**hints)[source]
 
    Generates the sequence of bit vectors of a Gray Code.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import GrayCode
@@ -898,7 +898,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next(delta=1)[source]
    
+next(delta=1)[source]
 
    Returns the Gray code a distance delta (default = 1) from the
 current value in canonical order.
    
 
    Examples
    
@@ -961,7 +961,7 @@ 
    Documentation Version
    
 
 
    
 
    
-skip()[source]
    
+skip()[source]
 
    Skips the bit generation.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import GrayCode
@@ -988,7 +988,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank(n, rank)[source]
    
+classmethod unrank(n, rank)[source]
 
    Unranks an n-bit sized Gray code of rank k. This method exists
 so that a derivative GrayCode class can define its own code of
 a given rank.
    
@@ -1012,7 +1012,7 @@ 
    Documentation Version
    
 
 
    
 
    
-graycode.random_bitstring()[source]
    
+graycode.random_bitstring()[source]
 
    Generates a random bitlist of length n.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.graycode import random_bitstring
@@ -1024,7 +1024,7 @@ 
    Documentation Version
    
 
 
    
 
    
-graycode.gray_to_bin()[source]
    
+graycode.gray_to_bin()[source]
 
    Convert from Gray coding to binary coding.
    
 
    We assume big endian encoding.
    
 
    Examples
    
@@ -1041,7 +1041,7 @@ 
    Documentation Version
    
 
 
    
 
    
-graycode.bin_to_gray()[source]
    
+graycode.bin_to_gray()[source]
 
    Convert from binary coding to gray coding.
    
 
    We assume big endian encoding.
    
 
    Examples
    
@@ -1058,7 +1058,7 @@ 
    Documentation Version
    
 
 
    
 
    
-graycode.get_subset_from_bitstring(bitstring)[source]
    
+graycode.get_subset_from_bitstring(bitstring)[source]
 
    Gets the subset defined by the bitstring.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.graycode import get_subset_from_bitstring
@@ -1076,7 +1076,7 @@ 
    Documentation Version
    
 
 
    
 
    
-graycode.graycode_subsets()[source]
    
+graycode.graycode_subsets()[source]
 
    Generates the subsets as enumerated by a Gray code.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.graycode import graycode_subsets
diff --git a/dev/modules/combinatorics/group_constructs.html b/dev/modules/combinatorics/group_constructs.html
index b4ede2d34a3..52b297dc346 100644
--- a/dev/modules/combinatorics/group_constructs.html
+++ b/dev/modules/combinatorics/group_constructs.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Group constructors
    
 
    
 
    
-sympy.combinatorics.group_constructs.DirectProduct(*groups)[source]
    
+sympy.combinatorics.group_constructs.DirectProduct(*groups)[source]
 
    Returns the direct product of several groups as a permutation group.
    
 
    Explanation
    
 
    This is implemented much like the __mul__ procedure for taking the direct
diff --git a/dev/modules/combinatorics/group_numbers.html b/dev/modules/combinatorics/group_numbers.html
index cd021b9a0dd..d9f5cdd113a 100644
--- a/dev/modules/combinatorics/group_numbers.html
+++ b/dev/modules/combinatorics/group_numbers.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Number of groups
    
 
    
 
    
-sympy.combinatorics.group_numbers.is_nilpotent_number(n) → bool[source]
    
+sympy.combinatorics.group_numbers.is_nilpotent_number(n) → bool[source]
 
    Check whether \(n\) is a nilpotent number. A number \(n\) is said to be
 nilpotent if and only if every finite group of order \(n\) is nilpotent.
 For more information see [R48].
    
@@ -832,7 +832,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.group_numbers.is_abelian_number(n) → bool[source]
    
+sympy.combinatorics.group_numbers.is_abelian_number(n) → bool[source]
 
    Check whether \(n\) is an abelian number. A number \(n\) is said to be abelian
 if and only if every finite group of order \(n\) is abelian. For more
 information see [R50].
    
@@ -864,7 +864,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.group_numbers.is_cyclic_number(n) → bool[source]
    
+sympy.combinatorics.group_numbers.is_cyclic_number(n) → bool[source]
 
    Check whether \(n\) is a cyclic number. A number \(n\) is said to be cyclic
 if and only if every finite group of order \(n\) is cyclic. For more
 information see [R52].
    
@@ -896,7 +896,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.group_numbers.groups_count(n)[source]
    
+sympy.combinatorics.group_numbers.groups_count(n)[source]
 
    Number of groups of order \(n\).
 In [R54], gnu(n) is given, so we follow this notation here as well.
    
 
    
diff --git a/dev/modules/combinatorics/named_groups.html b/dev/modules/combinatorics/named_groups.html
index a9c0b71fe2b..8fe766fc488 100644
--- a/dev/modules/combinatorics/named_groups.html
+++ b/dev/modules/combinatorics/named_groups.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Named Groups
    
 
    
 
    
-sympy.combinatorics.named_groups.SymmetricGroup(n)[source]
    
+sympy.combinatorics.named_groups.SymmetricGroup(n)[source]
 
    Generates the symmetric group on n elements as a permutation group.
    
 
    Explanation
    
 
    The generators taken are the n-cycle
@@ -839,7 +839,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.named_groups.CyclicGroup(n)[source]
    
+sympy.combinatorics.named_groups.CyclicGroup(n)[source]
 
    Generates the cyclic group of order n as a permutation group.
    
 
    Explanation
    
 
    The generator taken is the n-cycle (0 1 2 ... n-1)
@@ -865,7 +865,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.named_groups.DihedralGroup(n)[source]
    
+sympy.combinatorics.named_groups.DihedralGroup(n)[source]
 
    Generates the dihedral group \(D_n\) as a permutation group.
    
 
    Explanation
    
 
    The dihedral group \(D_n\) is the group of symmetries of the regular
@@ -903,7 +903,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.named_groups.AlternatingGroup(n)[source]
    
+sympy.combinatorics.named_groups.AlternatingGroup(n)[source]
 
    Generates the alternating group on n elements as a permutation group.
    
 
    Explanation
    
 
    For n > 2, the generators taken are (0 1 2), (0 1 2 ... n-1) for
@@ -938,7 +938,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.named_groups.AbelianGroup(*cyclic_orders)[source]
    
+sympy.combinatorics.named_groups.AbelianGroup(*cyclic_orders)[source]
 
    Returns the direct product of cyclic groups with the given orders.
    
 
    Explanation
    
 
    According to the structure theorem for finite abelian groups ([1]),
diff --git a/dev/modules/combinatorics/partitions.html b/dev/modules/combinatorics/partitions.html
index a2ef1f9cbae..0d9240e1782 100644
--- a/dev/modules/combinatorics/partitions.html
+++ b/dev/modules/combinatorics/partitions.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Partitions
    
 
    
 
    
-class sympy.combinatorics.partitions.Partition(*partition)[source]
    
+class sympy.combinatorics.partitions.Partition(*partition)[source]
 
    This class represents an abstract partition.
    
 
    A partition is a set of disjoint sets whose union equals a given set.
    
 
    
@@ -835,7 +835,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod from_rgs(rgs, elements)[source]
    
+classmethod from_rgs(rgs, elements)[source]
 
    Creates a set partition from a restricted growth string.
    
 
    Explanation
    
 
    The indices given in rgs are assumed to be the index
@@ -883,7 +883,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sort_key(order=None)[source]
    
+sort_key(order=None)[source]
 
    Return a canonical key that can be used for sorting.
    
 
    Ordering is based on the size and sorted elements of the partition
 and ties are broken with the rank.
    
@@ -906,7 +906,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.combinatorics.partitions.IntegerPartition(partition, integer=None)[source]
    
+class sympy.combinatorics.partitions.IntegerPartition(partition, integer=None)[source]
 
    This class represents an integer partition.
    
 
    Explanation
    
 
    In number theory and combinatorics, a partition of a positive integer,
@@ -930,7 +930,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-as_dict()[source]
    
+as_dict()[source]
 
    Return the partition as a dictionary whose keys are the
 partition integers and the values are the multiplicity of that
 integer.
    
@@ -944,7 +944,7 @@ 
    Documentation Version
    
 
 
    
 
    
-as_ferrers(char='#')[source]
    
+as_ferrers(char='#')[source]
 
    Prints the ferrer diagram of a partition.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.partitions import IntegerPartition
@@ -971,7 +971,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_lex()[source]
    
+next_lex()[source]
 
    Return the next partition of the integer, n, in lexical order,
 wrapping around to [n] if the partition is [1, …, 1].
    
 
    Examples
    
@@ -987,7 +987,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prev_lex()[source]
    
+prev_lex()[source]
 
    Return the previous partition of the integer, n, in lexical order,
 wrapping around to [1, …, 1] if the partition is [n].
    
 
    Examples
    
@@ -1005,7 +1005,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.partitions.random_integer_partition(n, seed=None)[source]
    
+sympy.combinatorics.partitions.random_integer_partition(n, seed=None)[source]
 
    Generates a random integer partition summing to n as a list
 of reverse-sorted integers.
    
 
    Examples
    
@@ -1026,7 +1026,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.partitions.RGS_generalized(m)[source]
    
+sympy.combinatorics.partitions.RGS_generalized(m)[source]
 
    Computes the m + 1 generalized unrestricted growth strings
 and returns them as rows in matrix.
    
 
    Examples
    
@@ -1046,7 +1046,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.partitions.RGS_enum(m)[source]
    
+sympy.combinatorics.partitions.RGS_enum(m)[source]
 
    RGS_enum computes the total number of restricted growth strings
 possible for a superset of size m.
    
 
    Examples
    
@@ -1075,7 +1075,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.partitions.RGS_unrank(rank, m)[source]
    
+sympy.combinatorics.partitions.RGS_unrank(rank, m)[source]
 
    Gives the unranked restricted growth string for a given
 superset size.
    
 
    Examples
    
@@ -1090,7 +1090,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.partitions.RGS_rank(rgs)[source]
    
+sympy.combinatorics.partitions.RGS_rank(rgs)[source]
 
    Computes the rank of a restricted growth string.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.partitions import RGS_rank, RGS_unrank
diff --git a/dev/modules/combinatorics/perm_groups.html b/dev/modules/combinatorics/perm_groups.html
index de456397c76..369018199e2 100644
--- a/dev/modules/combinatorics/perm_groups.html
+++ b/dev/modules/combinatorics/perm_groups.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Permutation Groups
    
 
    
 
    
-class sympy.combinatorics.perm_groups.PermutationGroup(*args, dups=True, **kwargs)[source]
    
+class sympy.combinatorics.perm_groups.PermutationGroup(*args, dups=True, **kwargs)[source]
 
    The class defining a Permutation group.
    
 
    Explanation
    
 
    PermutationGroup([p1, p2, ..., pn]) returns the permutation group
@@ -922,7 +922,7 @@ 
    Documentation Version
    
 
 
    
 
    
-__contains__(i)[source]
    
+__contains__(i)[source]
 
    Return True if i is contained in PermutationGroup.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation, PermutationGroup
@@ -935,7 +935,7 @@ 
    Documentation Version
    
 
 
    
 
    
-__mul__(other)[source]
    
+__mul__(other)[source]
 
    Return the direct product of two permutation groups as a permutation
 group.
    
 
    Explanation
    
@@ -968,7 +968,7 @@ 
    Documentation Version
    
 
    **kwargs,
    
 
    
 
-)[source]
+)[source]
 
    The default constructor. Accepts Cycle and Permutation forms.
 Removes duplicates unless dups keyword is False.
    
 
    
@@ -981,14 +981,14 @@ 
    Documentation Version
    
 
 
    
 
    
-_coset_representative(g, H)[source]
    
+_coset_representative(g, H)[source]
 
    Return the representative of Hg from the transversal that
 would be computed by self.coset_transversal(H).
    
 
    
 
 
    
 
    
-classmethod _distinct_primes_lemma(primes)[source]
    
+classmethod _distinct_primes_lemma(primes)[source]
 
    Subroutine to test if there is only one cyclic group for the
 order.
    
 
    
@@ -1002,7 +1002,7 @@ 
    Documentation Version
    
 
    perms=None,
    
 
    
 
-)[source]
+)[source]
 
    A test using monte-carlo algorithm.
    
 
    
 
    Parameters:
    
@@ -1034,13 +1034,13 @@ 
    Documentation Version
    
 
    only_alt=False,
    
 
    
 
-)[source]
+)[source]
 
    A naive test using the group order.
    
 
    
 
 
    
 
    
-_p_elements_group(p)[source]
    
+_p_elements_group(p)[source]
 
    For an abelian p-group, return the subgroup consisting of
 all elements of order p (and the identity)
    
 
    
@@ -1055,7 +1055,7 @@ 
    Documentation Version
    
 
    _random_prec_n=None,
    
 
    
 
-)[source]
+)[source]
 
    Initialize random generators for the product replacement algorithm.
    
 
    Explanation
    
 
    The implementation uses a modification of the original product
@@ -1090,7 +1090,7 @@ 
    Documentation Version
    
 
 
    
 
    
-_sylow_alt_sym(p)[source]
    
+_sylow_alt_sym(p)[source]
 
    Return a p-Sylow subgroup of a symmetric or an
 alternating group.
    
 
    Explanation
    
@@ -1137,7 +1137,7 @@ 
    Documentation Version
    
 
    not_rep,
    
 
    
 
-)[source]
+)[source]
 
    Merges two classes in a union-find data structure.
    
 
    Explanation
    
 
    Used in the implementation of Atkinson’s algorithm as suggested in [1],
@@ -1168,7 +1168,7 @@ 
    Documentation Version
    
 
 
    
 
    
-_union_find_rep(num, parents)[source]
    
+_union_find_rep(num, parents)[source]
 
    Find representative of a class in a union-find data structure.
    
 
    Explanation
    
 
    Used in the implementation of Atkinson’s algorithm as suggested in [1],
@@ -1198,7 +1198,7 @@ 
    Documentation Version
    
 
 
    
 
    
-_verify(K, phi, z, alpha)[source]
    
+_verify(K, phi, z, alpha)[source]
 
    Return a list of relators rels in generators gens`_h` that
 are mapped to ``H.generators by phi so that given a finite
 presentation <gens_k | rels_k> of K on a subset of gens_h
@@ -1239,7 +1239,7 @@ 
    Documentation Version
    
 
 
    
 
    
-abelian_invariants()[source]
    
+abelian_invariants()[source]
 
    Returns the abelian invariants for the given group.
 Let G be a nontrivial finite abelian group. Then G is isomorphic to
 the direct product of finitely many nontrivial cyclic groups of
@@ -1312,7 +1312,7 @@ 
    Documentation Version
    
 
    strong_gens_distr=None,
    
 
    
 
-)[source]
+)[source]
 
    Swap two consecutive base points in base and strong generating set.
    
 
    
 
    Parameters:
    
@@ -1471,7 +1471,7 @@ 
    Documentation Version
    
 
 
    
 
    
-center()[source]
    
+center()[source]
 
    Return the center of a permutation group.
    
 
    Explanation
    
 
    The center for a group \(G\) is defined as
@@ -1498,7 +1498,7 @@ 
    Documentation Version
    
 
 
    
 
    
-centralizer(other)[source]
    
+centralizer(other)[source]
 
    Return the centralizer of a group/set/element.
    
 
    
 
    Parameters:
    
@@ -1543,7 +1543,7 @@ 
    Documentation Version
    
 
 
    
 
    
-commutator(G, H)[source]
    
+commutator(G, H)[source]
 
    Return the commutator of two subgroups.
    
 
    Explanation
    
 
    For a permutation group K and subgroups G, H, the
@@ -1572,7 +1572,7 @@ 
    Documentation Version
    
 
 
    
 
    
-composition_series()[source]
    
+composition_series()[source]
 
    Return the composition series for a group as a list
 of permutation groups.
    
 
    Explanation
    
@@ -1619,7 +1619,7 @@ 
    Documentation Version
    
 
 
    
 
    
-conjugacy_class(x)[source]
    
+conjugacy_class(x)[source]
 
    Return the conjugacy class of an element in the group.
    
 
    Explanation
    
 
    The conjugacy class of an element g in a group G is the set of
@@ -1656,7 +1656,7 @@ 
    Documentation Version
    
 
 
    
 
    
-conjugacy_classes()[source]
    
+conjugacy_classes()[source]
 
    Return the conjugacy classes of the group.
    
 
    Explanation
    
 
    As described in the documentation for the .conjugacy_class() function,
@@ -1673,7 +1673,7 @@ 
    Documentation Version
    
 
 
    
 
    
-contains(g, strict=True)[source]
    
+contains(g, strict=True)[source]
 
    Test if permutation g belong to self, G.
    
 
    Explanation
    
 
    If g is an element of G it can be written as a product
@@ -1729,7 +1729,7 @@ 
    Documentation Version
    
 
    factor_index=False,
    
 
    
 
-)[source]
+)[source]
 
    Return G’s (self’s) coset factorization of g
    
 
    Explanation
    
 
    If g is an element of G then it can be written as the product
@@ -1784,7 +1784,7 @@ 
    Documentation Version
    
 
 
    
 
    
-coset_rank(g)[source]
    
+coset_rank(g)[source]
 
    rank using Schreier-Sims representation.
    
 
    Explanation
    
 
    The coset rank of g is the ordering number in which
@@ -1812,21 +1812,21 @@ 
    Documentation Version
    
 
 
    
 
    
-coset_table(H)[source]
    
+coset_table(H)[source]
 
    Return the standardised (right) coset table of self in H as
 a list of lists.
    
 
    
 
 
    
 
    
-coset_transversal(H)[source]
    
+coset_transversal(H)[source]
 
    Return a transversal of the right cosets of self by its subgroup H
 using the second method described in [1], Subsection 4.6.7
    
 
    
 
 
    
 
    
-coset_unrank(rank, af=False)[source]
    
+coset_unrank(rank, af=False)[source]
 
    unrank using Schreier-Sims representation
    
 
    coset_unrank is the inverse operation of coset_rank
 if 0 <= rank < order; otherwise it returns None.
    
@@ -1862,7 +1862,7 @@ 
    Documentation Version
    
 
 
    
 
    
-derived_series()[source]
    
+derived_series()[source]
 
    Return the derived series for the group.
    
 
    
 
    Returns:
    
@@ -1899,7 +1899,7 @@ 
    Documentation Version
    
 
 
    
 
    
-derived_subgroup()[source]
    
+derived_subgroup()[source]
 
    Compute the derived subgroup.
    
 
    Explanation
    
 
    The derived subgroup, or commutator subgroup is the subgroup generated
@@ -1937,7 +1937,7 @@ 
    Documentation Version
    
 
 
    
 
    
-equals(other)[source]
    
+equals(other)[source]
 
    Return True if PermutationGroup generated by elements in the
 group are same i.e they represent the same PermutationGroup.
    
 
    Examples
    
@@ -1962,7 +1962,7 @@ 
    Documentation Version
    
 
    af=False,
    
 
    
 
-)[source]
+)[source]
 
    Return iterator to generate the elements of the group.
    
 
    Explanation
    
 
    Iteration is done with one of these methods:
    
@@ -2007,7 +2007,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generate_dimino(af=False)[source]
    
+generate_dimino(af=False)[source]
 
    Yield group elements using Dimino’s algorithm.
    
 
    If af == True it yields the array form of the permutations.
    
 
    Examples
    
@@ -2032,7 +2032,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generate_schreier_sims(af=False)[source]
    
+generate_schreier_sims(af=False)[source]
 
    Yield group elements using the Schreier-Sims representation
 in coset_rank order
    
 
    If af = True it yields the array form of the permutations
    
@@ -2057,7 +2057,7 @@ 
    Documentation Version
    
 
    original=False,
    
 
    
 
-)[source]
+)[source]
 
    Return a list of strong generators \([s1, \dots, sn]\)
 s.t \(g = sn \times \dots \times s1\). If original=True, make the
 list contain only the original group generators
    
@@ -2086,7 +2086,7 @@ 
    Documentation Version
    
 
 
    
 
    
-index(H)[source]
    
+index(H)[source]
 
    Returns the index of a permutation group.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation, PermutationGroup
@@ -2128,7 +2128,7 @@ 
    Documentation Version
    
 
    _random_prec=None,
    
 
    
 
-)[source]
+)[source]
 
    Monte Carlo test for the symmetric/alternating group for degrees
 >= 8.
    
 
    Explanation
    
@@ -2281,7 +2281,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_elementary(p)[source]
    
+is_elementary(p)[source]
 
    Return True if the group is elementary abelian. An elementary
 abelian group is a finite abelian group, where every nontrivial
 element has order \(p\), where \(p\) is a prime.
    
@@ -2330,7 +2330,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_normal(gr, strict=True)[source]
    
+is_normal(gr, strict=True)[source]
 
    Test if G=self is a normal subgroup of gr.
    
 
    Explanation
    
 
    G is normal in gr if
@@ -2384,7 +2384,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_primitive(randomized=True)[source]
    
+is_primitive(randomized=True)[source]
 
    Test if a group is primitive.
    
 
    Explanation
    
 
    A permutation group G acting on a set S is called primitive if
@@ -2436,7 +2436,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_subgroup(G, strict=True)[source]
    
+is_subgroup(G, strict=True)[source]
 
    Return True if all elements of self belong to G.
    
 
    If strict is False then if self’s degree is smaller
 than G’s, the elements will be resized to have the same degree.
    
@@ -2512,7 +2512,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_transitive(strict=True)[source]
    
+is_transitive(strict=True)[source]
 
    Test if the group is transitive.
    
 
    Explanation
    
 
    A group is transitive if it has a single orbit.
    
@@ -2556,7 +2556,7 @@ 
    Documentation Version
    
 
 
    
 
    
-lower_central_series()[source]
    
+lower_central_series()[source]
 
    Return the lower central series for the group.
    
 
    The lower central series for a group \(G\) is the series
 \(G = G_0 > G_1 > G_2 > \ldots\) where
@@ -2585,7 +2585,7 @@ 
    Documentation Version
    
 
 
    
 
    
-make_perm(n, seed=None)[source]
    
+make_perm(n, seed=None)[source]
 
    Multiply n randomly selected permutations from
 pgroup together, starting with the identity
 permutation. If n is a list of integers, those
@@ -2639,7 +2639,7 @@ 
    Documentation Version
    
 
 
    
 
    
-minimal_block(points)[source]
    
+minimal_block(points)[source]
 
    For a transitive group, finds the block system generated by
 points.
    
 
    Explanation
    
@@ -2681,7 +2681,7 @@ 
    Documentation Version
    
 
 
    
 
    
-minimal_blocks(randomized=True)[source]
    
+minimal_blocks(randomized=True)[source]
 
    For a transitive group, return the list of all minimal
 block systems. If a group is intransitive, return \(False\).
    
 
    Examples
    
@@ -2702,7 +2702,7 @@ 
    Documentation Version
    
 
 
    
 
    
-normal_closure(other, k=10)[source]
    
+normal_closure(other, k=10)[source]
 
    Return the normal closure of a subgroup/set of permutations.
    
 
    
 
    Parameters:
    
@@ -2749,7 +2749,7 @@ 
    Documentation Version
    
 
 
    
 
    
-orbit(alpha, action='tuples')[source]
    
+orbit(alpha, action='tuples')[source]
 
    Compute the orbit of alpha \(\{g(\alpha) | g \in G\}\) as a set.
    
 
    Explanation
    
 
    The time complexity of the algorithm used here is \(O(|Orb|*r)\) where
@@ -2788,7 +2788,7 @@ 
    Documentation Version
    
 
    schreier_vector=None,
    
 
    
 
-)[source]
+)[source]
 
    Return a group element which sends alpha to beta.
    
 
    Explanation
    
 
    If beta is not in the orbit of alpha, the function returns
@@ -2816,7 +2816,7 @@ 
    Documentation Version
    
 
    pairs=False,
    
 
    
 
-)[source]
+)[source]
 
    Computes a transversal for the orbit of alpha as a set.
    
 
    Explanation
    
 
    For a permutation group \(G\), a transversal for the orbit
@@ -2840,7 +2840,7 @@ 
    Documentation Version
    
 
 
    
 
    
-orbits(rep=False)[source]
    
+orbits(rep=False)[source]
 
    Return the orbits of self, ordered according to lowest element
 in each orbit.
    
 
    Examples
    
@@ -2856,7 +2856,7 @@ 
    Documentation Version
    
 
 
    
 
    
-order()[source]
    
+order()[source]
 
    Return the order of the group: the number of permutations that
 can be generated from elements of the group.
    
 
    The number of permutations comprising the group is given by
@@ -2900,7 +2900,7 @@ 
    Documentation Version
    
 
    incremental=True,
    
 
    
 
-)[source]
+)[source]
 
    Return the pointwise stabilizer for a set of points.
    
 
    Explanation
    
 
    For a permutation group \(G\) and a set of points
@@ -2930,7 +2930,7 @@ 
    Documentation Version
    
 
 
    
 
    
-polycyclic_group()[source]
    
+polycyclic_group()[source]
 
    Return the PolycyclicGroup instance with below parameters:
    
 
    Explanation
    
 
      
@@ -2947,14 +2947,14 @@ 
      Documentation Version
      
 
 
      
 
      
-presentation(eliminate_gens=True)[source]
      
+presentation(eliminate_gens=True)[source]
 
      Return an \(FpGroup\) presentation of the group.
      
 
      The algorithm is described in [1], Chapter 6.1.
      
 
      
 
 
      
 
      
-random(af=False)[source]
      
+random(af=False)[source]
 
      Return a random group element
      
 
      
 
@@ -2968,7 +2968,7 @@ 
      Documentation Version
      
 
      _random_prec=None,
      
 
    
 
-)[source]
+)[source]
 
    Return a random group element using product replacement.
    
 
    Explanation
    
 
    For the details of the product replacement algorithm, see
@@ -2991,7 +2991,7 @@ 
    Documentation Version
    
 
    _random_prec=None,
    
 
    
 
-)[source]
+)[source]
 
    Random element from the stabilizer of alpha.
    
 
    The schreier vector for alpha is an optional argument used
 for speeding up repeated calls. The algorithm is described in [1], p.81
    
@@ -3003,7 +3003,7 @@ 
    Documentation Version
    
 
 
    
 
    
-schreier_sims()[source]
    
+schreier_sims()[source]
 
    Schreier-Sims algorithm.
    
 
    Explanation
    
 
    It computes the generators of the chain of stabilizers
@@ -3036,7 +3036,7 @@ 
    Documentation Version
    
 
    slp_dict=False,
    
 
    
 
-)[source]
+)[source]
 
    Extend a sequence of points and generating set to a base and strong
 generating set.
    
 
    
@@ -3107,7 +3107,7 @@ 
    Documentation Version
    
 
    _random_prec=None,
    
 
    
 
-)[source]
+)[source]
 
    Randomized Schreier-Sims algorithm.
    
 
    
 
    Parameters:
    
@@ -3177,7 +3177,7 @@ 
    Documentation Version
    
 
 
    
 
    
-schreier_vector(alpha)[source]
    
+schreier_vector(alpha)[source]
 
    Computes the schreier vector for alpha.
    
 
    Explanation
    
 
    The Schreier vector efficiently stores information
@@ -3206,7 +3206,7 @@ 
    Documentation Version
    
 
 
    
 
    
-stabilizer(alpha)[source]
    
+stabilizer(alpha)[source]
 
    Return the stabilizer subgroup of alpha.
    
 
    Explanation
    
 
    The stabilizer of \(\alpha\) is the group \(G_\alpha =
@@ -3256,7 +3256,7 @@ 
    Documentation Version
    
 
 
    
 
    
-strong_presentation()[source]
    
+strong_presentation()[source]
 
    Return a strong finite presentation of group. The generators
 of the returned group are in the same order as the strong
 generators of group.
    
@@ -3278,7 +3278,7 @@ 
    Documentation Version
    
 
 
    
 
    
-subgroup(gens)[source]
    
+subgroup(gens)[source]
 
    Return the subgroup generated by \(gens\) which is a list of
 elements of the group
    
 
    
@@ -3295,7 +3295,7 @@ 
    Documentation Version
    
 
    init_subgroup=None,
    
 
    
 
-)[source]
+)[source]
 
    Find the subgroup of all elements satisfying the property prop.
    
 
    
 
    Parameters:
    
@@ -3374,7 +3374,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sylow_subgroup(p)[source]
    
+sylow_subgroup(p)[source]
 
    Return a p-Sylow subgroup of the group.
    
 
    The algorithm is described in [1], Chapter 4, Section 7
    
 
    Examples
    
diff --git a/dev/modules/combinatorics/permutations.html b/dev/modules/combinatorics/permutations.html
index 2c380f39553..896d734d497 100644
--- a/dev/modules/combinatorics/permutations.html
+++ b/dev/modules/combinatorics/permutations.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Permutations
    
 
    
 
    
-class sympy.combinatorics.permutations.Permutation(*args, size=None, **kwargs)[source]
    
+class sympy.combinatorics.permutations.Permutation(*args, size=None, **kwargs)[source]
 
    A permutation, alternatively known as an ‘arrangement number’ or ‘ordering’
 is an arrangement of the elements of an ordered list into a one-to-one
 mapping with itself. The permutation of a given arrangement is given by
@@ -1206,7 +1206,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-apply(i)[source]
    
+apply(i)[source]
 
    Apply the permutation to an expression.
    
 
    
 
    Parameters:
    
@@ -1260,7 +1260,7 @@ 
    Documentation Version
    
 
 
    
 
    
-ascents()[source]
    
+ascents()[source]
 
    Returns the positions of ascents in a permutation, ie, the location
 where p[i] < p[i+1]
    
 
    Examples
    
@@ -1278,7 +1278,7 @@ 
    Documentation Version
    
 
 
    
 
    
-atoms()[source]
    
+atoms()[source]
 
    Returns all the elements of a permutation
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1309,7 +1309,7 @@ 
    Documentation Version
    
 
 
    
 
    
-commutator(x)[source]
    
+commutator(x)[source]
 
    Return the commutator of self and x: ~x*~self*x*self
    
 
    If f and g are part of a group, G, then the commutator of f and g
 is the group identity iff f and g commute, i.e. fg == gf.
    
@@ -1348,7 +1348,7 @@ 
    Documentation Version
    
 
 
    
 
    
-commutes_with(other)[source]
    
+commutes_with(other)[source]
 
    Checks if the elements are commuting.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1421,7 +1421,7 @@ 
    Documentation Version
    
 
 
    
 
    
-descents()[source]
    
+descents()[source]
 
    Returns the positions of descents in a permutation, ie, the location
 where p[i] > p[i+1]
    
 
    Examples
    
@@ -1439,7 +1439,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod from_inversion_vector(inversion)[source]
    
+classmethod from_inversion_vector(inversion)[source]
 
    Calculates the permutation from the inversion vector.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1453,7 +1453,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod from_sequence(i, key=None)[source]
    
+classmethod from_sequence(i, key=None)[source]
 
    Return the permutation needed to obtain i from the sorted
 elements of i. If custom sorting is desired, a key can be given.
    
 
    Examples
    
@@ -1484,7 +1484,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_adjacency_distance(other)[source]
    
+get_adjacency_distance(other)[source]
 
    Computes the adjacency distance between two permutations.
    
 
    Explanation
    
 
    This metric counts the number of times a pair i,j of jobs is
@@ -1511,7 +1511,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_adjacency_matrix()[source]
    
+get_adjacency_matrix()[source]
 
    Computes the adjacency matrix of a permutation.
    
 
    Explanation
    
 
    If job i is adjacent to job j in a permutation p
@@ -1545,7 +1545,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_positional_distance(other)[source]
    
+get_positional_distance(other)[source]
 
    Computes the positional distance between two permutations.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1566,7 +1566,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_precedence_distance(other)[source]
    
+get_precedence_distance(other)[source]
 
    Computes the precedence distance between two permutations.
    
 
    Explanation
    
 
    Suppose p and p’ represent n jobs. The precedence metric
@@ -1590,7 +1590,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_precedence_matrix()[source]
    
+get_precedence_matrix()[source]
 
    Gets the precedence matrix. This is used for computing the
 distance between two permutations.
    
 
    Examples
    
@@ -1618,7 +1618,7 @@ 
    Documentation Version
    
 
 
    
 
    
-index()[source]
    
+index()[source]
 
    Returns the index of a permutation.
    
 
    The index of a permutation is the sum of all subscripts j such
 that p[j] is greater than p[j+1].
    
@@ -1633,7 +1633,7 @@ 
    Documentation Version
    
 
 
    
 
    
-inversion_vector()[source]
    
+inversion_vector()[source]
 
    Return the inversion vector of the permutation.
    
 
    The inversion vector consists of elements whose value
 indicates the number of elements in the permutation
@@ -1672,7 +1672,7 @@ 
    Documentation Version
    
 
 
    
 
    
-inversions()[source]
    
+inversions()[source]
 
    Computes the number of inversions of a permutation.
    
 
    Explanation
    
 
    An inversion is where i > j but p[i] < p[j].
    
@@ -1807,7 +1807,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod josephus(m, n, s=1)[source]
    
+classmethod josephus(m, n, s=1)[source]
 
    Return as a permutation the shuffling of range(n) using the Josephus
 scheme in which every m-th item is selected until all have been chosen.
 The returned permutation has elements listed by the order in which they
@@ -1852,7 +1852,7 @@ 
    Documentation Version
    
 
 
    
 
    
-length()[source]
    
+length()[source]
 
    Returns the number of integers moved by a permutation.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1870,7 +1870,7 @@ 
    Documentation Version
    
 
 
    
 
    
-list(size=None)[source]
    
+list(size=None)[source]
 
    Return the permutation as an explicit list, possibly
 trimming unmoved elements if size is less than the maximum
 element in the permutation; if this is desired, setting
@@ -1896,7 +1896,7 @@ 
    Documentation Version
    
 
 
    
 
    
-max() → int[source]
    
+max() → int[source]
 
    The maximum element moved by the permutation.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1913,7 +1913,7 @@ 
    Documentation Version
    
 
 
    
 
    
-min() → int[source]
    
+min() → int[source]
 
    The minimum element moved by the permutation.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -1930,13 +1930,13 @@ 
    Documentation Version
    
 
 
    
 
    
-mul_inv(other)[source]
    
+mul_inv(other)[source]
 
    other*~self, self and other have _array_form
    
 
    
 
 
    
 
    
-next_lex()[source]
    
+next_lex()[source]
 
    Returns the next permutation in lexicographical order.
 If self is the last permutation in lexicographical order
 it returns None.
@@ -1958,7 +1958,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_nonlex()[source]
    
+next_nonlex()[source]
 
    Returns the next permutation in nonlex order [3].
 If self is the last permutation in this order it returns None.
    
 
    Examples
    
@@ -1981,7 +1981,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_trotterjohnson()[source]
    
+next_trotterjohnson()[source]
 
    Returns the next permutation in Trotter-Johnson order.
 If self is the last permutation it returns None.
 See [4] section 2.4. If it is desired to generate all such
@@ -2008,7 +2008,7 @@ 
    Documentation Version
    
 
 
    
 
    
-order()[source]
    
+order()[source]
 
    Computes the order of a permutation.
    
 
    When the permutation is raised to the power of its
 order it equals the identity permutation.
    
@@ -2031,7 +2031,7 @@ 
    Documentation Version
    
 
 
    
 
    
-parity()[source]
    
+parity()[source]
 
    Computes the parity of a permutation.
    
 
    Explanation
    
 
    The parity of a permutation reflects the parity of the
@@ -2055,7 +2055,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod random(n)[source]
    
+classmethod random(n)[source]
 
    Generates a random permutation of length n.
    
 
    Uses the underlying Python pseudo-random number generator.
    
 
    Examples
    
@@ -2068,7 +2068,7 @@ 
    Documentation Version
    
 
 
    
 
    
-rank()[source]
    
+rank()[source]
 
    Returns the lexicographic rank of the permutation.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -2088,7 +2088,7 @@ 
    Documentation Version
    
 
 
    
 
    
-rank_nonlex(inv_perm=None)[source]
    
+rank_nonlex(inv_perm=None)[source]
 
    This is a linear time ranking algorithm that does not
 enforce lexicographic order [3].
    
 
    Examples
    
@@ -2106,7 +2106,7 @@ 
    Documentation Version
    
 
 
    
 
    
-rank_trotterjohnson()[source]
    
+rank_trotterjohnson()[source]
 
    Returns the Trotter Johnson rank, which we get from the minimal
 change algorithm. See [4] section 2.4.
    
 
    Examples
    
@@ -2127,7 +2127,7 @@ 
    Documentation Version
    
 
 
    
 
    
-resize(n)[source]
    
+resize(n)[source]
 
    Resize the permutation to the new size n.
    
 
    
 
    Parameters:
    
@@ -2174,7 +2174,7 @@ 
    Documentation Version
    
 
 
    
 
    
-static rmul(*args)[source]
    
+static rmul(*args)[source]
 
    Return product of Permutations [a, b, c, …] as the Permutation whose
 ith value is a(b(c(i))).
    
 
    a, b, c, … can be Permutation objects or tuples.
    
@@ -2210,14 +2210,14 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod rmul_with_af(*args)[source]
    
+classmethod rmul_with_af(*args)[source]
 
    same as rmul, but the elements of args are Permutation objects
 which have _array_form
    
 
    
 
 
    
 
    
-runs()[source]
    
+runs()[source]
 
    Returns the runs of a permutation.
    
 
    An ascending sequence in a permutation is called a run [5].
    
 
    Examples
    
@@ -2234,7 +2234,7 @@ 
    Documentation Version
    
 
 
    
 
    
-signature()[source]
    
+signature()[source]
 
    Gives the signature of the permutation needed to place the
 elements of the permutation in canonical order.
    
 
    The signature is calculated as (-1)^<number of inversions>
    
@@ -2276,7 +2276,7 @@ 
    Documentation Version
    
 
 
    
 
    
-support()[source]
    
+support()[source]
 
    Return the elements in permutation, P, for which P[i] != i.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -2291,7 +2291,7 @@ 
    Documentation Version
    
 
 
    
 
    
-transpositions()[source]
    
+transpositions()[source]
 
    Return the permutation decomposed into a list of transpositions.
    
 
    Explanation
    
 
    It is always possible to express a permutation as the product of
@@ -2319,7 +2319,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank_lex(size, rank)[source]
    
+classmethod unrank_lex(size, rank)[source]
 
    Lexicographic permutation unranking.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -2340,7 +2340,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank_nonlex(n, r)[source]
    
+classmethod unrank_nonlex(n, r)[source]
 
    This is a linear time unranking algorithm that does not
 respect lexicographic order [3].
    
 
    Examples
    
@@ -2361,7 +2361,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank_trotterjohnson(size, rank)[source]
    
+classmethod unrank_trotterjohnson(size, rank)[source]
 
    Trotter Johnson permutation unranking. See [4] section 2.4.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Permutation
@@ -2381,7 +2381,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.combinatorics.permutations.Cycle(*args)[source]
    
+class sympy.combinatorics.permutations.Cycle(*args)[source]
 
    Wrapper around dict which provides the functionality of a disjoint cycle.
    
 
    Explanation
    
 
    A cycle shows the rule to use to move subsets of elements to obtain
@@ -2452,7 +2452,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-list(size=None)[source]
    
+list(size=None)[source]
 
    Return the cycles as an explicit list starting from 0 up
 to the greater of the largest value in the cycles and size.
    
 
    Truncation of trailing unmoved items will occur when size
@@ -2479,7 +2479,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.permutations._af_parity(pi)[source]
    
+sympy.combinatorics.permutations._af_parity(pi)[source]
 
    Computes the parity of a permutation in array form.
    
 
    Explanation
    
 
    The parity of a permutation reflects the parity of the
@@ -2503,7 +2503,7 @@ 
    Documentation Version
    
 
    Generators
    
 
    
 
    
-generators.symmetric()[source]
    
+generators.symmetric()[source]
 
    Generates the symmetric group of order n, Sn.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.generators import symmetric
@@ -2515,7 +2515,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generators.cyclic()[source]
    
+generators.cyclic()[source]
 
    Generates the cyclic group of order n, Cn.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.generators import cyclic
@@ -2532,7 +2532,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generators.alternating()[source]
    
+generators.alternating()[source]
 
    Generates the alternating group of order n, An.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.generators import alternating
@@ -2544,7 +2544,7 @@ 
    Documentation Version
    
 
 
    
 
    
-generators.dihedral()[source]
    
+generators.dihedral()[source]
 
    Generates the dihedral group of order 2n, Dn.
    
 
    The result is given as a subgroup of Sn, except for the special cases n=1
 (the group S2) and n=2 (the Klein 4-group) where that’s not possible
diff --git a/dev/modules/combinatorics/polyhedron.html b/dev/modules/combinatorics/polyhedron.html
index 953564420b9..2e7dd5eb0da 100644
--- a/dev/modules/combinatorics/polyhedron.html
+++ b/dev/modules/combinatorics/polyhedron.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Polyhedron
    
 
    
 
    
-class sympy.combinatorics.polyhedron.Polyhedron(corners, faces=(), pgroup=())[source]
    
+class sympy.combinatorics.polyhedron.Polyhedron(corners, faces=(), pgroup=())[source]
 
    Represents the polyhedral symmetry group (PSG).
    
 
    Explanation
    
 
    The PSG is one of the symmetry groups of the Platonic solids.
@@ -902,7 +902,7 @@ 
    Documentation Version
    
 
 
    
 
    
-reset()[source]
    
+reset()[source]
 
    Return corners to their original positions.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.polyhedron import tetrahedron as T
@@ -921,7 +921,7 @@ 
    Documentation Version
    
 
 
    
 
    
-rotate(perm)[source]
    
+rotate(perm)[source]
 
    Apply a permutation to the polyhedron in place. The permutation
 may be given as a Permutation instance or an integer indicating
 which permutation from pgroup of the Polyhedron should be
diff --git a/dev/modules/combinatorics/prufer.html b/dev/modules/combinatorics/prufer.html
index 07ec245d44f..9acc8ca65a4 100644
--- a/dev/modules/combinatorics/prufer.html
+++ b/dev/modules/combinatorics/prufer.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Prufer Sequences
    
 
    
 
    
-class sympy.combinatorics.prufer.Prufer(*args, **kw_args)[source]
    
+class sympy.combinatorics.prufer.Prufer(*args, **kw_args)[source]
 
    The Prufer correspondence is an algorithm that describes the
 bijection between labeled trees and the Prufer code. A Prufer
 code of a labeled tree is unique up to isomorphism and has
@@ -818,7 +818,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-static edges(*runs)[source]
    
+static edges(*runs)[source]
 
    Return a list of edges and the number of nodes from the given runs
 that connect nodes in an integer-labelled tree.
    
 
    All node numbers will be shifted so that the minimum node is 0. It is
@@ -841,7 +841,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next(delta=1)[source]
    
+next(delta=1)[source]
 
    Generates the Prufer sequence that is delta beyond the current one.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.prufer import Prufer
@@ -875,7 +875,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prev(delta=1)[source]
    
+prev(delta=1)[source]
 
    Generates the Prufer sequence that is -delta before the current one.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.prufer import Prufer
@@ -897,7 +897,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prufer_rank()[source]
    
+prufer_rank()[source]
 
    Computes the rank of a Prufer sequence.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.prufer import Prufer
@@ -972,7 +972,7 @@ 
    Documentation Version
    
 
 
    
 
    
-static to_prufer(tree, n)[source]
    
+static to_prufer(tree, n)[source]
 
    Return the Prufer sequence for a tree given as a list of edges where
 n is the number of nodes in the tree.
    
 
    Examples
    
@@ -995,7 +995,7 @@ 
    Documentation Version
    
 
 
    
 
    
-static to_tree(prufer)[source]
    
+static to_tree(prufer)[source]
 
    Return the tree (as a list of edges) of the given Prufer sequence.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.prufer import Prufer
@@ -1042,7 +1042,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank(rank, n)[source]
    
+classmethod unrank(rank, n)[source]
 
    Finds the unranked Prufer sequence.
    
 
    Examples
    
 
    >>> from sympy.combinatorics.prufer import Prufer
diff --git a/dev/modules/combinatorics/subsets.html b/dev/modules/combinatorics/subsets.html
index eece25894e3..09318b6212b 100644
--- a/dev/modules/combinatorics/subsets.html
+++ b/dev/modules/combinatorics/subsets.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Subsets
    
 
    
 
    
-class sympy.combinatorics.subsets.Subset(subset, superset)[source]
    
+class sympy.combinatorics.subsets.Subset(subset, superset)[source]
 
    Represents a basic subset object.
    
 
    Explanation
    
 
    We generate subsets using essentially two techniques,
@@ -821,7 +821,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod bitlist_from_subset(subset, superset)[source]
    
+classmethod bitlist_from_subset(subset, superset)[source]
 
    Gets the bitlist corresponding to a subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -854,7 +854,7 @@ 
    Documentation Version
    
 
 
    
 
    
-iterate_binary(k)[source]
    
+iterate_binary(k)[source]
 
    This is a helper function. It iterates over the
 binary subsets by k steps. This variable can be
 both positive or negative.
    
@@ -876,7 +876,7 @@ 
    Documentation Version
    
 
 
    
 
    
-iterate_graycode(k)[source]
    
+iterate_graycode(k)[source]
 
    Helper function used for prev_gray and next_gray.
 It performs k step overs to get the respective Gray codes.
    
 
    Examples
    
@@ -896,7 +896,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_binary()[source]
    
+next_binary()[source]
 
    Generates the next binary ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -916,7 +916,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_gray()[source]
    
+next_gray()[source]
 
    Generates the next Gray code ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -933,7 +933,7 @@ 
    Documentation Version
    
 
 
    
 
    
-next_lexicographic()[source]
    
+next_lexicographic()[source]
 
    Generates the next lexicographically ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -953,7 +953,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prev_binary()[source]
    
+prev_binary()[source]
 
    Generates the previous binary ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -973,7 +973,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prev_gray()[source]
    
+prev_gray()[source]
 
    Generates the previous Gray code ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -990,7 +990,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prev_lexicographic()[source]
    
+prev_lexicographic()[source]
 
    Generates the previous lexicographically ordered subset.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -1100,7 +1100,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod subset_from_bitlist(super_set, bitlist)[source]
    
+classmethod subset_from_bitlist(super_set, bitlist)[source]
 
    Gets the subset defined by the bitlist.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -1116,7 +1116,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod subset_indices(subset, superset)[source]
    
+classmethod subset_indices(subset, superset)[source]
 
    Return indices of subset in superset in a list; the list is empty
 if all elements of subset are not in superset.
    
 
    Examples
    
@@ -1168,7 +1168,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank_binary(rank, superset)[source]
    
+classmethod unrank_binary(rank, superset)[source]
 
    Gets the binary ordered subset of the specified rank.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -1184,7 +1184,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod unrank_gray(rank, superset)[source]
    
+classmethod unrank_gray(rank, superset)[source]
 
    Gets the Gray code ordered subset of the specified rank.
    
 
    Examples
    
 
    >>> from sympy.combinatorics import Subset
@@ -1204,7 +1204,7 @@ 
    Documentation Version
    
 
 
    
 
    
-subsets.ksubsets(k)[source]
    
+subsets.ksubsets(k)[source]
 
    Finds the subsets of size k in lexicographic order.
    
 
    This uses the itertools generator.
    
 
    Examples
    
diff --git a/dev/modules/combinatorics/tensor_can.html b/dev/modules/combinatorics/tensor_can.html
index 3b918662b7a..9ca12242d1d 100644
--- a/dev/modules/combinatorics/tensor_can.html
+++ b/dev/modules/combinatorics/tensor_can.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Tensor Canonicalization
    
 
    
 
    
-sympy.combinatorics.tensor_can.canonicalize(g, dummies, msym, *v)[source]
    
+sympy.combinatorics.tensor_can.canonicalize(g, dummies, msym, *v)[source]
 
    canonicalize tensor formed by tensors
    
 
    
 
    Parameters:
    
@@ -921,7 +921,7 @@ 
    Documentation Version
    
 
    g,
    
 
    
 
-)[source]
+)[source]
 
    Butler-Portugal algorithm for tensor canonicalization with dummy indices.
    
 
    
 
    Parameters:
    
@@ -1113,7 +1113,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.tensor_can.get_symmetric_group_sgs(n, antisym=False)[source]
    
+sympy.combinatorics.tensor_can.get_symmetric_group_sgs(n, antisym=False)[source]
 
    Return base, gens of the minimal BSGS for (anti)symmetric tensor
    
 
    
 
    Parameters:
    
@@ -1145,7 +1145,7 @@ 
    Documentation Version
    
 
    signed=True,
    
 
    
 
-)[source]
+)[source]
 
    Direct product of two BSGS.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/combinatorics/testutil.html b/dev/modules/combinatorics/testutil.html
index 88ff77b956e..ae866bf0c16 100644
--- a/dev/modules/combinatorics/testutil.html
+++ b/dev/modules/combinatorics/testutil.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Test Utilities
    
 
    
 
    
-sympy.combinatorics.testutil._cmp_perm_lists(first, second)[source]
    
+sympy.combinatorics.testutil._cmp_perm_lists(first, second)[source]
 
    Compare two lists of permutations as sets.
    
 
    Explanation
    
 
    This is used for testing purposes. Since the array form of a
@@ -824,12 +824,12 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.testutil._naive_list_centralizer(self, other, af=False)[source]
    
+sympy.combinatorics.testutil._naive_list_centralizer(self, other, af=False)[source]
 
    
 
 
    
 
    
-sympy.combinatorics.testutil._verify_bsgs(group, base, gens)[source]
    
+sympy.combinatorics.testutil._verify_bsgs(group, base, gens)[source]
 
    Verify the correctness of a base and strong generating set.
    
 
    Explanation
    
 
    This is a naive implementation using the definition of a base and a strong
@@ -853,7 +853,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.testutil._verify_centralizer(group, arg, centr=None)[source]
    
+sympy.combinatorics.testutil._verify_centralizer(group, arg, centr=None)[source]
 
    Verify the centralizer of a group/set/element inside another group.
    
 
    This is used for testing .centralizer() from
 sympy.combinatorics.perm_groups
    
@@ -878,7 +878,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.testutil._verify_normal_closure(group, arg, closure=None)[source]
    
+sympy.combinatorics.testutil._verify_normal_closure(group, arg, closure=None)[source]
 
    
 
 
diff --git a/dev/modules/combinatorics/util.html b/dev/modules/combinatorics/util.html
index 7972418602e..b431fa21d16 100644
--- a/dev/modules/combinatorics/util.html
+++ b/dev/modules/combinatorics/util.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Utilities
    
 
    
 
    
-sympy.combinatorics.util._base_ordering(base, degree)[source]
    
+sympy.combinatorics.util._base_ordering(base, degree)[source]
 
    Order \(\{0, 1, \dots, n-1\}\) so that base points come first and in order.
    
 
    
 
    Parameters:
    
@@ -843,7 +843,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.util._check_cycles_alt_sym(perm)[source]
    
+sympy.combinatorics.util._check_cycles_alt_sym(perm)[source]
 
    Checks for cycles of prime length p with n/2 < p < n-2.
    
 
    Explanation
    
 
    Here \(n\) is the degree of the permutation. This is a helper function for
@@ -867,7 +867,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.util._distribute_gens_by_base(base, gens)[source]
    
+sympy.combinatorics.util._distribute_gens_by_base(base, gens)[source]
 
    Distribute the group elements gens by membership in basic stabilizers.
    
 
    
 
    Parameters:
    
@@ -921,7 +921,7 @@ 
    Documentation Version
    
 
    strong_gens_distr=None,
    
 
    
 
-)[source]
+)[source]
 
    Calculate BSGS-related structures from those present.
    
 
    
 
    Parameters:
    
@@ -971,7 +971,7 @@ 
    Documentation Version
    
 
    slp=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute basic orbits and transversals from a base and strong generating set.
    
 
    
 
    Parameters:
    
@@ -1022,7 +1022,7 @@ 
    Documentation Version
    
 
    strong_gens_distr=None,
    
 
    
 
-)[source]
+)[source]
 
    Remove redundant generators from a strong generating set.
    
 
    
 
    Parameters:
    
@@ -1063,7 +1063,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.util._strip(g, base, orbits, transversals)[source]
    
+sympy.combinatorics.util._strip(g, base, orbits, transversals)[source]
 
    Attempt to decompose a permutation using a (possibly partial) BSGS
 structure.
    
 
    
@@ -1123,7 +1123,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.combinatorics.util._strong_gens_from_distr(strong_gens_distr)[source]
    
+sympy.combinatorics.util._strong_gens_from_distr(strong_gens_distr)[source]
 
    Retrieve strong generating set from generators of basic stabilizers.
    
 
    This is just the union of the generators of the first and second basic
 stabilizers.
    
diff --git a/dev/modules/concrete.html b/dev/modules/concrete.html
index c93af034d5d..7527459961f 100644
--- a/dev/modules/concrete.html
+++ b/dev/modules/concrete.html
@@ -880,7 +880,7 @@ 
    Hypergeometric termsConcrete Class Reference
    
 
    
 
    
-class sympy.concrete.summations.Sum(function, *symbols, **assumptions)[source]
    
+class sympy.concrete.summations.Sum(function, *symbols, **assumptions)[source]
 
    Represents unevaluated summation.
    
 
    Explanation
    
 
    Sum represents a finite or infinite series, with the first argument
@@ -1015,7 +1015,7 @@ 
    Concrete Class Referenceeval_integral=True,
    
 
    
 
-)[source]
+)[source]
 
    Return an Euler-Maclaurin approximation of self, where m is the
 number of leading terms to sum directly and n is the number of
 terms in the tail.
    
@@ -1058,7 +1058,7 @@ 
    Concrete Class Reference
 
    
-eval_zeta_function(f, limits)[source]
    
+eval_zeta_function(f, limits)[source]
 
    Check whether the function matches with the zeta function.
    
 
    If it matches, then return a \(Piecewise\) expression because
 zeta function does not converge unless \(s > 1\) and \(q > 0\)
    
@@ -1066,7 +1066,7 @@ 
    Concrete Class Reference
 
    
-is_absolutely_convergent()[source]
    
+is_absolutely_convergent()[source]
 
    Checks for the absolute convergence of an infinite series.
    
 
    Same as checking convergence of absolute value of sequence_term of
 an infinite series.
    
@@ -1094,7 +1094,7 @@ 
    Concrete Class Reference
 
    
-is_convergent()[source]
    
+is_convergent()[source]
 
    Checks for the convergence of a Sum.
    
 
    Explanation
    
 
    We divide the study of convergence of infinite sums and products in
@@ -1159,7 +1159,7 @@ 
    Concrete Class Reference
 
    
-reverse_order(*indices)[source]
    
+reverse_order(*indices)[source]
 
    Reverse the order of a limit in a Sum.
    
 
    Explanation
    
 
    reverse_order(self, *indices) reverses some limits in the expression
@@ -1222,7 +1222,7 @@ 
    Concrete Class Reference
 
    
-class sympy.concrete.products.Product(function, *symbols, **assumptions)[source]
    
+class sympy.concrete.products.Product(function, *symbols, **assumptions)[source]
 
    Represents unevaluated products.
    
 
    Explanation
    
 
    Product represents a finite or infinite product, with the first
@@ -1390,7 +1390,7 @@ 
    Concrete Class Reference
 
    
-is_convergent()[source]
    
+is_convergent()[source]
 
    See docs of Sum.is_convergent() for explanation of convergence
 in SymPy.
    
 
    Explanation
    
@@ -1435,7 +1435,7 @@ 
    Concrete Class Reference
 
    
-reverse_order(*indices)[source]
    
+reverse_order(*indices)[source]
 
    Reverse the order of a limit in a Product.
    
 
    Explanation
    
 
    reverse_order(expr, *indices) reverses some limits in the expression
@@ -1510,7 +1510,7 @@ 
    Concrete Class Reference**assumptions,
    
 
    
 
-)[source]
+)[source]
 
    Superclass for Product and Sum.
    
 
    
 
    See also
    
@@ -1526,7 +1526,7 @@ 
    Concrete Class Referencenewvar=None,
    
 
    
 
-)[source]
+)[source]
 
    Change index of a Sum or Product.
    
 
    Perform a linear transformation \(x \mapsto a x + b\) on the index variable
 \(x\). For \(a\) the only values allowed are \(\pm 1\). A new variable to be used
@@ -1654,7 +1654,7 @@ 
    Concrete Class Reference
 
    
-index(x)[source]
    
+index(x)[source]
 
    Return the index of a dummy variable in the list of limits.
    
 
    Explanation
    
 
    index(expr, x)  returns the index of the dummy variable x in the
@@ -1681,7 +1681,7 @@ 
    Concrete Class Reference
 
    
-reorder(*arg)[source]
    
+reorder(*arg)[source]
 
    Reorder limits in a expression containing a Sum or a Product.
    
 
    Explanation
    
 
    expr.reorder(*arg) reorders the limits in the expression expr
@@ -1726,7 +1726,7 @@ 
    Concrete Class Reference
 
    
-reorder_limit(x, y)[source]
    
+reorder_limit(x, y)[source]
 
    Interchange two limit tuples of a Sum or Product expression.
    
 
    Explanation
    
 
    expr.reorder_limit(x, y) interchanges two limit tuples. The
@@ -1761,7 +1761,7 @@ 
    Concrete Class Reference
    
 
    
 
    
-sympy.concrete.summations.summation(f, *symbols, **kwargs)[source]
    
+sympy.concrete.summations.summation(f, *symbols, **kwargs)[source]
 
    Compute the summation of f with respect to symbols.
    
 
    Explanation
    
 
    The notation for symbols is similar to the notation used in Integral.
@@ -1808,7 +1808,7 @@ 
    Concrete Functions Reference
 
    
-sympy.concrete.products.product(*args, **kwargs)[source]
    
+sympy.concrete.products.product(*args, **kwargs)[source]
 
    Compute the product.
    
 
    Explanation
    
 
    The notation for symbols is similar to the notation used in Sum or
@@ -1842,7 +1842,7 @@ 
    Concrete Functions Reference
 
    
-sympy.concrete.gosper.gosper_normal(f, g, n, polys=True)[source]
    
+sympy.concrete.gosper.gosper_normal(f, g, n, polys=True)[source]
 
    Compute the Gosper’s normal form of f and g.
    
 
    Explanation
    
 
    Given relatively prime univariate polynomials f and g,
@@ -1877,7 +1877,7 @@ 
    Concrete Functions Reference
 
    
-sympy.concrete.gosper.gosper_term(f, n)[source]
    
+sympy.concrete.gosper.gosper_term(f, n)[source]
 
    Compute Gosper’s hypergeometric term for f.
    
 
    Explanation
    
 
    Suppose f is a hypergeometric term such that:
    
@@ -1901,7 +1901,7 @@ 
    Concrete Functions Reference
 
    
-sympy.concrete.gosper.gosper_sum(f, k)[source]
    
+sympy.concrete.gosper.gosper_sum(f, k)[source]
 
    Gosper’s hypergeometric summation algorithm.
    
 
    Explanation
    
 
    Given a hypergeometric term f such that:
    
diff --git a/dev/modules/core.html b/dev/modules/core.html
index f017a4ac140..3a83e56a2a4 100644
--- a/dev/modules/core.html
+++ b/dev/modules/core.html
@@ -815,7 +815,7 @@ 
    Documentation Version
    
 
    evaluate=None,
    
 
    
 
-)[source]
+)[source]
 
    Converts an arbitrary expression to a type that can be used inside SymPy.
    
 
    
 
    Parameters:
    
@@ -1296,7 +1296,7 @@ 
    References
    cache
    
 
    
 
    
-sympy.core.cache.__cacheit(maxsize)[source]
    
+sympy.core.cache.__cacheit(maxsize)[source]
 
    caching decorator.
    
 
    important: the result of cached function must be immutable
    
 
    Examples
    
@@ -1320,7 +1320,7 @@ 
    References
    basic
    
 
    
 
    
-class sympy.core.basic.Basic(*args)[source]
    
+class sympy.core.basic.Basic(*args)[source]
 
    Base class for all SymPy objects.
    
 
    Notes And Conventions
    
 
      
@@ -1411,7 +1411,7 @@ 
      Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    A stub to allow Basic args (like Tuple) to be skipped when computing
 the content and primitive components of an expression.
    
 
    
@@ -1422,7 +1422,7 @@ 
    References
 
    
-as_dummy()[source]
    
+as_dummy()[source]
 
    Return the expression with any objects having structurally
 bound symbols replaced with unique, canonical symbols within
 the object in which they appear and having only the default
@@ -1478,7 +1478,7 @@ 
    References
 
    
-atoms(*types)[source]
    
+atoms(*types)[source]
 
    Returns the atoms that form the current object.
    
 
    By default, only objects that are truly atomic and cannot
 be divided into smaller pieces are returned: symbols, numbers,
@@ -1566,13 +1566,13 @@ 
    References
 
    
-classmethod class_key()[source]
    
+classmethod class_key()[source]
 
    Nice order of classes.
    
 
    
 
 
    
 
    
-compare(other)[source]
    
+compare(other)[source]
 
    Return -1, 0, 1 if the object is less than, equal,
 or greater than other in a canonical sense.
 Non-Basic are always greater than Basic.
@@ -1600,19 +1600,19 @@ 
    References
 
    
-count(query)[source]
    
+count(query)[source]
 
    Count the number of matching subexpressions.
    
 
    
 
 
    
 
    
-count_ops(visual=None)[source]
    
+count_ops(visual=None)[source]
 
    Wrapper for count_ops that returns the operation count.
    
 
    
 
 
    
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Evaluate objects that are not evaluated by default like limits,
 integrals, sums and products. All objects of this kind will be
 evaluated recursively, unless some species were excluded via ‘hints’
@@ -1637,7 +1637,7 @@ 
    References
 
    
-dummy_eq(other, symbol=None)[source]
    
+dummy_eq(other, symbol=None)[source]
 
    Compare two expressions and handle dummy symbols.
    
 
    Examples
    
 
    >>> from sympy import Dummy
@@ -1663,7 +1663,7 @@ 
    References
 
    
-find(query, group=False)[source]
    
+find(query, group=False)[source]
 
    Find all subexpressions matching a query.
    
 
    
 
@@ -1684,7 +1684,7 @@ 
    References
 
    
-classmethod fromiter(args, **assumptions)[source]
    
+classmethod fromiter(args, **assumptions)[source]
 
    Create a new object from an iterable.
    
 
    This is a convenience function that allows one to create objects from
 any iterable, without having to convert to a list or tuple first.
    
@@ -1721,7 +1721,7 @@ 
    References
 
    
-has(*patterns)[source]
    
+has(*patterns)[source]
 
    Test whether any subexpression matches any of the patterns.
    
 
    Examples
    
 
    >>> from sympy import sin
@@ -1766,7 +1766,7 @@ 
    References
 
    
-has_free(*patterns)[source]
    
+has_free(*patterns)[source]
 
    Return True if self has object(s) x as a free expression
 else False.
    
 
    Examples
    
@@ -1794,7 +1794,7 @@ 
    References
 
    
-has_xfree(s: set[Basic])[source]
    
+has_xfree(s: set[Basic])[source]
 
    Return True if self has any of the patterns in s as a
 free argument, else False. This is like \(Basic.has_free\)
 but this will only report exact argument matches.
    
@@ -1845,7 +1845,7 @@ 
    References
 
    
-is_same(b, approx=None)[source]
    
+is_same(b, approx=None)[source]
 
    Return True if a and b are structurally the same, else False.
 If \(approx\) is supplied, it will be used to test whether two
 numbers are the same or not. By default, only numbers of the
@@ -1899,7 +1899,7 @@ 
    References
 
    
-match(pattern, old=False)[source]
    
+match(pattern, old=False)[source]
 
    Pattern matching.
    
 
    Wild symbols match all.
    
 
    Return None when expression (self) does not match
@@ -1948,7 +1948,7 @@ 
    References
 
    
-matches(expr, repl_dict=None, old=False)[source]
    
+matches(expr, repl_dict=None, old=False)[source]
 
    Helper method for match() that looks for a match between Wild symbols
 in self and expressions in expr.
    
 
    Examples
    
@@ -1965,7 +1965,7 @@ 
    References
 
    
-rcall(*args)[source]
    
+rcall(*args)[source]
 
    Apply on the argument recursively through the expression tree.
    
 
    This method is used to simulate a common abuse of notation for
 operators. For instance, in SymPy the following will not work:
    
@@ -1981,7 +1981,7 @@ 
    References
 
    
-refine(assumption=True)[source]
    
+refine(assumption=True)[source]
 
    See the refine function in sympy.assumptions
    
 
    
 
@@ -1997,7 +1997,7 @@ 
    Referencesexact=None,
    
 
    
 
-)[source]
+)[source]
 
    Replace matching subexpressions of self with value.
    
 
    If map = True then also return the mapping {old: new} where old
 was a sub-expression found with query and new is the replacement
@@ -2151,7 +2151,7 @@ 
    References
 
    
-rewrite(*args, deep=True, **hints)[source]
    
+rewrite(*args, deep=True, **hints)[source]
 
    Rewrite self using a defined rule.
    
 
    Rewriting transforms an expression to another, which is mathematically
 equivalent but structurally different. For example you can rewrite
@@ -2225,13 +2225,13 @@ 
    References
 
    
-simplify(**kwargs)[source]
    
+simplify(**kwargs)[source]
 
    See the simplify function in sympy.simplify
    
 
    
 
 
    
 
    
-sort_key(order=None)[source]
    
+sort_key(order=None)[source]
 
    Return a sort key.
    
 
    Examples
    
 
    >>> from sympy import S, I
@@ -2251,7 +2251,7 @@ 
    References
 
    
-subs(*args, **kwargs)[source]
    
+subs(*args, **kwargs)[source]
 
    Substitutes old for new in an expression after sympifying args.
    
 
    
 
    \(args\) is either:
    
 
@@ -2643,7 +2643,7 @@ 
    References*deps,
    
 
    
 
-) → tuple[Expr, tuple[Expr, ...]][source]
+) → tuple[Expr, tuple[Expr, ...]][source]
 
    Return the tuple (c, args) where self is written as an Add, a.
    
 
    c should be a Rational added to any terms of the Add that are
 independent of deps.
    
@@ -2681,7 +2681,7 @@ 
    Referencesx,
    
 
    
 
-) → tuple[Expr, Expr][source]
+) → tuple[Expr, Expr][source]
 
    c*x**e -> c,e where x can be any symbolic expression.
    
 
    
 
@@ -2694,7 +2694,7 @@ 
    References**kwargs,
    
 
    
 
-) → tuple[Expr, tuple[Expr, ...]][source]
+) → tuple[Expr, tuple[Expr, ...]][source]
 
    Return the tuple (c, args) where self is written as a Mul, m.
    
 
    c should be a Rational multiplied by any factors of the Mul that are
 independent of deps.
    
@@ -2726,7 +2726,7 @@ 
    References
 
    
-as_coefficient(expr)[source]
    
+as_coefficient(expr)[source]
 
    Extracts symbolic coefficient at the given expression. In
 other words, this functions separates ‘self’ into the product
 of ‘expr’ and ‘expr’-free coefficient. If such separation
@@ -2798,7 +2798,7 @@ 
    References
 
    
-as_coefficients_dict(*syms)[source]
    
+as_coefficients_dict(*syms)[source]
 
    Return a dictionary mapping terms to their Rational coefficient.
 Since the dictionary is a defaultdict, inquiries about terms which
 were not present will return a coefficient of 0.
    
@@ -2831,7 +2831,7 @@ 
    Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    This method should recursively remove a Rational from all arguments
 and return that (content) and the new self (primitive). The content
 should always be positive and Mul(*foo.as_content_primitive()) == foo.
@@ -2889,7 +2889,7 @@ 
    References
 
    
-as_expr(*gens)[source]
    
+as_expr(*gens)[source]
 
    Convert a polynomial to a SymPy expression.
    
 
    Examples
    
 
    >>> from sympy import sin
@@ -2916,7 +2916,7 @@ 
    References**hint,
    
 
    
 
-) → tuple[Expr, Expr][source]
+) → tuple[Expr, Expr][source]
 
    A mostly naive separation of a Mul or Add into arguments that are not
 are dependent on deps. To obtain as complete a separation of variables
 as possible, use a separation method first, e.g.:
    
@@ -3047,7 +3047,7 @@ 
    References
 
    
-as_leading_term(*symbols, logx=None, cdir=0)[source]
    
+as_leading_term(*symbols, logx=None, cdir=0)[source]
 
    Returns the leading (nonzero) term of the series expansion of self.
    
 
    The _eval_as_leading_term routines are used to do this, and they must
 always return a non-zero value.
    
@@ -3063,7 +3063,7 @@ 
    References
 
    
-as_numer_denom()[source]
    
+as_numer_denom()[source]
 
    Return the numerator and the denominator of an expression.
    
 
    expression -> a/b -> a, b
    
 
    This is just a stub that should be defined by
@@ -3079,13 +3079,13 @@ 
    References
 
    
-as_ordered_factors(order=None)[source]
    
+as_ordered_factors(order=None)[source]
 
    Return list of ordered factors (if Mul) else [self].
    
 
    
 
 
    
 
    
-as_ordered_terms(order=None, data=False)[source]
    
+as_ordered_terms(order=None, data=False)[source]
 
    Transform an expression to an ordered list of terms.
    
 
    Examples
    
 
    >>> from sympy import sin, cos
@@ -3100,7 +3100,7 @@ 
    References
 
    
-as_poly(*gens, **args)[source]
    
+as_poly(*gens, **args)[source]
 
    Converts self to a polynomial or returns None.
    
 
    Explanation
    
 
    >>> from sympy import sin
@@ -3123,7 +3123,7 @@ 
    References
 
    
-as_powers_dict()[source]
    
+as_powers_dict()[source]
 
    Return self as a dictionary of factors with each factor being
 treated as a power. The keys are the bases of the factors and the
 values, the corresponding exponents. The resulting dictionary should
@@ -3143,7 +3143,7 @@ 
    References
 
    
-as_real_imag(deep=True, **hints)[source]
    
+as_real_imag(deep=True, **hints)[source]
 
    Performs complex expansion on ‘self’ and returns a tuple
 containing collected both real and imaginary parts. This
 method cannot be confused with re() and im() functions,
@@ -3172,13 +3172,13 @@ 
    References
 
    
-as_terms()[source]
    
+as_terms()[source]
 
    Transform an expression to a list of terms.
    
 
    
 
 
    
 
    
-aseries(x=None, n=6, bound=0, hir=False)[source]
    
+aseries(x=None, n=6, bound=0, hir=False)[source]
 
    Asymptotic Series expansion of self.
 This is equivalent to self.series(x, oo, n).
    
 
    
@@ -3284,13 +3284,13 @@ 
    References
 
    
-cancel(*gens, **args)[source]
    
+cancel(*gens, **args)[source]
 
    See the cancel function in sympy.polys
    
 
    
 
 
    
 
    
-coeff(x, n=1, right=False, _first=True)[source]
    
+coeff(x, n=1, right=False, _first=True)[source]
 
    Returns the coefficient from the term(s) containing x**n. If n
 is zero then all terms independent of x will be returned.
    
 
    Explanation
    
@@ -3418,19 +3418,19 @@ 
    Referencesdistribute_order_term=True,
    
 
    
 
-)[source]
+)[source]
 
    See the collect function in sympy.simplify
    
 
    
 
 
    
 
    
-combsimp()[source]
    
+combsimp()[source]
 
    See the combsimp function in sympy.simplify
    
 
    
 
 
    
 
    
-compute_leading_term(x, logx=None)[source]
    
+compute_leading_term(x, logx=None)[source]
 
    Deprecated function to compute the leading term of a series.
    
 
    as_leading_term is only allowed for results of .series()
 This is a wrapper to compute a series first.
    
@@ -3438,13 +3438,13 @@ 
    References
 
    
-conjugate()[source]
    
+conjugate()[source]
 
    Returns the complex conjugate of ‘self’.
    
 
    
 
 
    
 
    
-could_extract_minus_sign()[source]
    
+could_extract_minus_sign()[source]
 
    Return True if self has -1 as a leading factor or has
 more literal negative signs than positive signs in a sum,
 otherwise False.
    
@@ -3474,7 +3474,7 @@ 
    References
 
    
-equals(other, failing_expression=False)[source]
    
+equals(other, failing_expression=False)[source]
 
    Return True if self == other, False if it does not, or None. If
 failing_expression is True then the expression which did not simplify
 to a 0 will be returned instead of None.
    
@@ -3504,7 +3504,7 @@ 
    References**hints,
    
 
    
 
-)[source]
+)[source]
 
    Expand an expression using hints.
    
 
    See the docstring of the expand() function in sympy.core.function for
 more information.
    
@@ -3535,7 +3535,7 @@ 
    References
 
    
-extract_additively(c)[source]
    
+extract_additively(c)[source]
 
    Return self - c if it’s possible to subtract c from self and
 make all matching coefficients move towards zero, else return None.
    
 
    Examples
    
@@ -3558,7 +3558,7 @@ 
    References
 
    
-extract_branch_factor(allow_half=False)[source]
    
+extract_branch_factor(allow_half=False)[source]
 
    Try to write self as exp_polar(2*pi*I*n)*z in a nice way.
 Return (z, n).
    
 
    >>> from sympy import exp_polar, I, pi
@@ -3592,7 +3592,7 @@ 
    References
 
    
-extract_multiplicatively(c)[source]
    
+extract_multiplicatively(c)[source]
 
    Return None if it’s not possible to make self in the form
 c * something in a nice way, i.e. preserving the properties
 of arguments of self.
    
@@ -3625,13 +3625,13 @@ 
    References
 
    
-factor(*gens, **args)[source]
    
+factor(*gens, **args)[source]
 
    See the factor() function in sympy.polys.polytools
    
 
    
 
 
    
 
    
-fourier_series(limits=None)[source]
    
+fourier_series(limits=None)[source]
 
    Compute fourier sine/cosine series of self.
    
 
    See the docstring of the fourier_series() in sympy.series.fourier
 for more information.
    
@@ -3651,7 +3651,7 @@ 
    Referencesfull=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute formal power power series of self.
    
 
    See the docstring of the fps() function in sympy.series.formal for
 more information.
    
@@ -3659,19 +3659,19 @@ 
    References
 
    
-gammasimp()[source]
    
+gammasimp()[source]
 
    See the gammasimp function in sympy.simplify
    
 
    
 
 
    
 
    
-getO()[source]
    
+getO()[source]
 
    Returns the additive O(..) symbol if there is one, else None.
    
 
    
 
 
    
 
    
-getn()[source]
    
+getn()[source]
 
    Returns the order of the expression.
    
 
    Explanation
    
 
    The order is determined either from the O(…) term. If there
@@ -3688,13 +3688,13 @@ 
    References
 
    
-integrate(*args, **kwargs)[source]
    
+integrate(*args, **kwargs)[source]
 
    See the integrate function in sympy.integrals
    
 
    
 
 
    
 
    
-invert(g, *gens, **args)[source]
    
+invert(g, *gens, **args)[source]
 
    Return the multiplicative inverse of self mod g
 where self (and g) may be symbolic expressions).
    
 
    
@@ -3705,7 +3705,7 @@ 
    References
 
    
-is_algebraic_expr(*syms)[source]
    
+is_algebraic_expr(*syms)[source]
 
    This tests whether a given expression is algebraic or not, in the
 given symbols, syms. When syms is not given, all free symbols
 will be used. The rational function does not have to be in expanded
@@ -3748,7 +3748,7 @@ 
    References
 
    
-is_constant(*wrt, **flags)[source]
    
+is_constant(*wrt, **flags)[source]
 
    Return True if self is constant, False if not, or None if
 the constancy could not be determined conclusively.
    
 
    Explanation
    
@@ -3817,7 +3817,7 @@ 
    References
 
    
-is_meromorphic(x, a)[source]
    
+is_meromorphic(x, a)[source]
 
    This tests whether an expression is meromorphic as
 a function of the given symbol x at the point a.
    
 
    This method is intended as a quick test that will return
@@ -3926,7 +3926,7 @@ 
    References
 
    
-is_polynomial(*syms)[source]
    
+is_polynomial(*syms)[source]
 
    Return True if self is a polynomial in syms and False otherwise.
    
 
    This checks if self is an exact polynomial in syms.  This function
 returns False for expressions that are “polynomials” with symbolic
@@ -3990,7 +3990,7 @@ 
    References
 
    
-is_rational_function(*syms)[source]
    
+is_rational_function(*syms)[source]
 
    Test whether function is a ratio of two polynomials in the given
 symbols, syms. When syms is not given, all free symbols will be used.
 The rational function does not have to be in expanded or in any kind of
@@ -4042,7 +4042,7 @@ 
    References
 
    
-leadterm(x, logx=None, cdir=0)[source]
    
+leadterm(x, logx=None, cdir=0)[source]
 
    Returns the leading term a*x**b as a tuple (a, b).
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -4056,7 +4056,7 @@ 
    References
 
    
-limit(x, xlim, dir='+')[source]
    
+limit(x, xlim, dir='+')[source]
 
    Compute limit x->xlim.
    
 
    
 
@@ -4072,7 +4072,7 @@ 
    Referencescdir=0,
    
 
    
 
-)[source]
+)[source]
 
    Wrapper for series yielding an iterator of the terms of the series.
    
 
    Note: an infinite series will yield an infinite iterator. The following,
 for exaxmple, will never terminate. It will just keep printing terms
@@ -4090,7 +4090,7 @@ 
    References
 
    
-normal()[source]
    
+normal()[source]
 
    Return the expression as a fraction.
    
 
    expression -> a/b
    
 
    
@@ -4115,7 +4115,7 @@ 
    Referencescdir=0,
    
 
    
 
-)[source]
+)[source]
 
    Wrapper to _eval_nseries if assumptions allow, else to series.
    
 
    If x is given, x0 is 0, dir=’+’, and self has x, then _eval_nseries is
 called. This calculates “n” terms in the innermost expressions and
@@ -4177,19 +4177,19 @@ 
    Referencesfull=False,
    
 
    
 
-)[source]
+)[source]
 
    See the nsimplify function in sympy.simplify
    
 
    
 
 
    
 
    
-powsimp(*args, **kwargs)[source]
    
+powsimp(*args, **kwargs)[source]
 
    See the powsimp function in sympy.simplify
    
 
    
 
 
    
 
    
-primitive()[source]
    
+primitive()[source]
 
    Return the positive Rational that can be extracted non-recursively
 from every term of self (i.e., self is treated like an Add). This is
 like the as_coeff_Mul() method but primitive always extracts a positive
@@ -4210,25 +4210,25 @@ 
    References
 
    
-radsimp(**kwargs)[source]
    
+radsimp(**kwargs)[source]
 
    See the radsimp function in sympy.simplify
    
 
    
 
 
    
 
    
-ratsimp()[source]
    
+ratsimp()[source]
 
    See the ratsimp function in sympy.simplify
    
 
    
 
 
    
 
    
-removeO()[source]
    
+removeO()[source]
 
    Removes the additive O(..) symbol if there is one
    
 
    
 
 
    
 
    
-round(n=None)[source]
    
+round(n=None)[source]
 
    Return x rounded to the given decimal place.
    
 
    If a complex number would results, apply round to the real
 and imaginary components of the number.
    
@@ -4262,7 +4262,7 @@ 
    References
 
    
-separate(deep=False, force=False)[source]
    
+separate(deep=False, force=False)[source]
 
    See the separate function in sympy.simplify
    
 
    
 
@@ -4279,7 +4279,7 @@ 
    Referencescdir=0,
    
 
    
 
-)[source]
+)[source]
 
    Series expansion of “self” around x = x0 yielding either terms of
 the series one by one (the lazy series given when n=None), else
 all the terms at once when n != None.
    
@@ -4392,7 +4392,7 @@ 
    References
 
    
-taylor_term(n, x, *previous_terms)[source]
    
+taylor_term(n, x, *previous_terms)[source]
 
    General method for the taylor term.
    
 
    This method is slow, because it differentiates n-times. Subclasses can
 redefine it to make it faster by using the “previous_terms”.
    
@@ -4400,13 +4400,13 @@ 
    References
 
    
-together(*args, **kwargs)[source]
    
+together(*args, **kwargs)[source]
 
    See the together function in sympy.polys
    
 
    
 
 
    
 
    
-trigsimp(**args)[source]
    
+trigsimp(**args)[source]
 
    See the trigsimp function in sympy.simplify
    
 
    
 
@@ -4414,7 +4414,7 @@ 
    References
 
    
-class sympy.core.expr.UnevaluatedExpr(arg, **kwargs)[source]
    
+class sympy.core.expr.UnevaluatedExpr(arg, **kwargs)[source]
 
    Expression that is not evaluated unless released.
    
 
    Examples
    
 
    >>> from sympy import UnevaluatedExpr
@@ -4429,7 +4429,7 @@ 
    References
 
    
-class sympy.core.expr.AtomicExpr(*args)[source]
    
+class sympy.core.expr.AtomicExpr(*args)[source]
 
    A parent class for object which are both atoms and Exprs.
    
 
    For example: Symbol, Number, Rational, Integer, …
 But not: Add, Mul, Pow, …
    
@@ -4440,7 +4440,7 @@ 
    References
    symbol
    
 
    
 
    
-class sympy.core.symbol.Symbol(name, **assumptions)[source]
    
+class sympy.core.symbol.Symbol(name, **assumptions)[source]
 
    Symbol class is used to create symbolic variables.
    
 
    
 
    Parameters:
    
@@ -4496,7 +4496,7 @@ 
    References**assumptions,
    
 
    
 
-)[source]
+)[source]
 
    A Wild symbol matches anything, or anything
 without whatever is explicitly excluded.
    
 
    
@@ -4587,7 +4587,7 @@ 
    References
 
    
-class sympy.core.symbol.Dummy(name=None, dummy_index=None, **assumptions)[source]
    
+class sympy.core.symbol.Dummy(name=None, dummy_index=None, **assumptions)[source]
 
    Dummy symbols are each unique, even if they have the same name:
    
 
    Examples
    
 
    >>> from sympy import Dummy
@@ -4615,7 +4615,7 @@ 
    References**args,
    
 
    
 
-) → Any[source]
+) → Any[source]
 
    Transform strings into instances of Symbol class.
    
 
    symbols() function returns a sequence of symbols with names taken
 from names argument, which can be a comma or whitespace delimited
@@ -4732,7 +4732,7 @@ 
    References
 
    
-sympy.core.symbol.var(names, **args)[source]
    
+sympy.core.symbol.var(names, **args)[source]
 
    Create symbols and inject them into the global namespace.
    
 
    Explanation
    
 
    This calls symbols() with the same arguments and puts the results
@@ -4771,7 +4771,7 @@ 
    References
    intfunc
    
 
    
 
    
-sympy.core.intfunc.num_digits(n, base=10)[source]
    
+sympy.core.intfunc.num_digits(n, base=10)[source]
 
    Return the number of digits needed to express n in give base.
    
 
    
 
    Parameters:
    
@@ -4803,7 +4803,7 @@ 
    References
 
    
-sympy.core.intfunc.trailing(n)[source]
    
+sympy.core.intfunc.trailing(n)[source]
 
    Count the number of trailing zero digits in the binary
 representation of n, i.e. determine the largest power of 2
 that divides n.
    
@@ -4823,7 +4823,7 @@ 
    References
 
    
-sympy.core.intfunc.ilcm(*args)[source]
    
+sympy.core.intfunc.ilcm(*args)[source]
 
    Computes integer least common multiple.
    
 
    Examples
    
 
    >>> from sympy import ilcm
@@ -4865,7 +4865,7 @@ 
    References
 
    
-sympy.core.intfunc.igcd_lehmer(a, b)[source]
    
+sympy.core.intfunc.igcd_lehmer(a, b)[source]
 
    Computes greatest common divisor of two integers.
    
 
    Explanation
    
 
    Euclid’s algorithm for the computation of the greatest
@@ -4908,7 +4908,7 @@ 
    References
 
    
-sympy.core.intfunc.igcdex(a, b)[source]
    
+sympy.core.intfunc.igcdex(a, b)[source]
 
    Returns x, y, g such that g = x*a + y*b = gcd(a, b).
    
 
    Examples
    
 
    >>> from sympy.core.intfunc import igcdex
@@ -4929,7 +4929,7 @@ 
    References
 
    
-sympy.core.intfunc.isqrt(n)[source]
    
+sympy.core.intfunc.isqrt(n)[source]
 
    Return the largest integer less than or equal to \(\sqrt{n}\).
    
 
    
 
    Parameters:
    
@@ -4973,7 +4973,7 @@ 
    References
 
    
-sympy.core.intfunc.integer_nthroot(y, n)[source]
    
+sympy.core.intfunc.integer_nthroot(y, n)[source]
 
    Return a tuple containing x = floor(y**(1/n))
 and a boolean indicating whether the result is exact (that is,
 whether x**n == y).
    
@@ -5000,7 +5000,7 @@ 
    References
 
    
-sympy.core.intfunc.integer_log(n, b)[source]
    
+sympy.core.intfunc.integer_log(n, b)[source]
 
    Returns (e, bool) where e is the largest nonnegative integer
 such that \(|n| \geq |b^e|\) and bool is True if \(n = b^e\).
    
 
    Examples
    
@@ -5040,7 +5040,7 @@ 
    References
 
    
-sympy.core.intfunc.mod_inverse(a, m)[source]
    
+sympy.core.intfunc.mod_inverse(a, m)[source]
 
    Return the number \(c\) such that, \(a \times c = 1 \pmod{m}\)
 where \(c\) has the same sign as \(m\). If no such value exists,
 a ValueError is raised.
    
@@ -5089,7 +5089,7 @@ 
    References
    numbers
    
 
    
 
    
-class sympy.core.numbers.Number(*obj)[source]
    
+class sympy.core.numbers.Number(*obj)[source]
 
    Represents atomic numbers in SymPy.
    
 
    Explanation
    
 
    Floating point numbers are represented by the Float class.
@@ -5112,31 +5112,31 @@ 
    References
 
    
-as_coeff_Add(rational=False)[source]
    
+as_coeff_Add(rational=False)[source]
 
    Efficiently extract the coefficient of a summation.
    
 
    
 
 
    
 
    
-as_coeff_Mul(rational=False)[source]
    
+as_coeff_Mul(rational=False)[source]
 
    Efficiently extract the coefficient of a product.
    
 
    
 
 
    
 
    
-cofactors(other)[source]
    
+cofactors(other)[source]
 
    Compute GCD and cofactors of \(self\) and \(other\).
    
 
    
 
 
    
 
    
-gcd(other)[source]
    
+gcd(other)[source]
 
    Compute GCD of \(self\) and \(other\).
    
 
    
 
 
    
 
    
-lcm(other)[source]
    
+lcm(other)[source]
 
    Compute LCM of \(self\) and \(other\).
    
 
    
 
@@ -5144,7 +5144,7 @@ 
    References
 
    
-class sympy.core.numbers.Float(num, dps=None, precision=None)[source]
    
+class sympy.core.numbers.Float(num, dps=None, precision=None)[source]
 
    Represent a floating-point number of arbitrary precision.
    
 
    Examples
    
 
    >>> from sympy import Float
@@ -5308,7 +5308,7 @@ 
    References
 
    
-class sympy.core.numbers.Rational(p, q=None, gcd=None)[source]
    
+class sympy.core.numbers.Rational(p, q=None, gcd=None)[source]
 
    Represents rational numbers (p/q) of any size.
    
 
    Examples
    
 
    >>> from sympy import Rational, nsimplify, S, pi
@@ -5398,13 +5398,13 @@ 
    References
 
    
-as_coeff_Add(rational=False)[source]
    
+as_coeff_Add(rational=False)[source]
 
    Efficiently extract the coefficient of a summation.
    
 
    
 
 
    
 
    
-as_coeff_Mul(rational=False)[source]
    
+as_coeff_Mul(rational=False)[source]
 
    Efficiently extract the coefficient of a product.
    
 
    
 
@@ -5417,7 +5417,7 @@ 
    Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    Return the tuple (R, self/R) where R is the positive Rational
 extracted from self.
    
 
    Examples
    
@@ -5442,7 +5442,7 @@ 
    Referencesvisual=False,
    
 
    
 
-)[source]
+)[source]
 
    A wrapper to factorint which return factors of self that are
 smaller than limit (or cheap to compute). Special methods of
 factoring are disabled by default so that only trial division is used.
    
@@ -5456,7 +5456,7 @@ 
    Referencesmax_denominator=1000000,
    
 
    
 
-)[source]
+)[source]
 
    Closest Rational to self with denominator at most max_denominator.
    
 
    Examples
    
 
    >>> from sympy import Rational
@@ -5472,7 +5472,7 @@ 
    References
 
    
-class sympy.core.numbers.Integer(i)[source]
    
+class sympy.core.numbers.Integer(i)[source]
 
    Represents integer numbers of any size.
    
 
    Examples
    
 
    >>> from sympy import Integer
@@ -5509,7 +5509,7 @@ 
    References**args,
    
 
    
 
-)[source]
+)[source]
 
    Class for representing algebraic numbers in SymPy.
    
 
    Symbolically, an instance of this class represents an element
 \(\alpha \in \mathbb{Q}(\theta) \hookrightarrow \mathbb{C}\). That is, the
@@ -5534,7 +5534,7 @@ 
    References**args,
    
 
    
 
-)[source]
+)[source]
 
    Construct a new algebraic number \(\alpha\) belonging to a number field
 \(k = \mathbb{Q}(\theta)\).
    
 
    There are four instance attributes to be determined:
    
@@ -5711,25 +5711,25 @@ 
    References
 
    
-as_expr(x=None)[source]
    
+as_expr(x=None)[source]
 
    Create a Basic expression from self.
    
 
    
 
 
    
 
    
-as_poly(x=None)[source]
    
+as_poly(x=None)[source]
 
    Create a Poly instance from self.
    
 
    
 
 
    
 
    
-coeffs()[source]
    
+coeffs()[source]
 
    Returns all SymPy coefficients of an algebraic number.
    
 
    
 
 
    
 
    
-field_element(coeffs)[source]
    
+field_element(coeffs)[source]
 
    Form another element of the same number field.
    
 
    
 
    Parameters:
    
@@ -5780,7 +5780,7 @@ 
    References
 
    
-minpoly_of_element()[source]
    
+minpoly_of_element()[source]
 
    Compute the minimal polynomial for this algebraic number.
    
 
    Explanation
    
 
    Recall that we represent an element \(\alpha \in \mathbb{Q}(\theta)\).
@@ -5791,13 +5791,13 @@ 
    References
 
    
-native_coeffs()[source]
    
+native_coeffs()[source]
 
    Returns all native coefficients of an algebraic number.
    
 
    
 
 
    
 
    
-primitive_element()[source]
    
+primitive_element()[source]
 
    Get the primitive element \(\theta\) for the number field
 \(\mathbb{Q}(\theta)\) to which this algebraic number \(\alpha\) belongs.
    
 
    
@@ -5809,7 +5809,7 @@ 
    References
 
    
-to_algebraic_integer()[source]
    
+to_algebraic_integer()[source]
 
    Convert self to an algebraic integer.
    
 
    
 
@@ -5821,7 +5821,7 @@ 
    Referencesradicals=True,
    
 
    
 
-)[source]
+)[source]
 
    Convert self to an AlgebraicNumber instance that is
 equal to its own primitive element.
    
 
    
@@ -5886,7 +5886,7 @@ 
    Referencesminpoly=None,
    
 
    
 
-)[source]
+)[source]
 
    Convert to an Expr that is not an
 AlgebraicNumber, specifically, either a
 ComplexRootOf, or, optionally and where possible, an
@@ -5912,10 +5912,10 @@ 
    References
 
    
-class sympy.core.numbers.NumberSymbol[source]
    
+class sympy.core.numbers.NumberSymbol[source]
 
    
 
    
-approximation(number_cls)[source]
    
+approximation(number_cls)[source]
 
    Return an interval with number_cls endpoints
 that contains the value of NumberSymbol.
 If not implemented, then return None.
    
@@ -5925,13 +5925,13 @@ 
    References
 
    
-sympy.core.numbers.RealNumber[source]
    
+sympy.core.numbers.RealNumber[source]
 
    alias of Float
    
 
    
 
 
    
 
    
-sympy.core.numbers.seterr(divide=False)[source]
    
+sympy.core.numbers.seterr(divide=False)[source]
 
    Should SymPy raise an exception on 0/0 or return a nan?
    
 
    divide == True …. raise an exception
 divide == False … return nan
    
@@ -5939,7 +5939,7 @@ 
    References
 
    
-class sympy.core.numbers.Zero[source]
    
+class sympy.core.numbers.Zero[source]
 
    The number zero.
    
 
    Zero is a singleton, and can be accessed by S.Zero
    
 
    Examples
    
@@ -5961,7 +5961,7 @@ 
    References
 
    
-class sympy.core.numbers.One[source]
    
+class sympy.core.numbers.One[source]
 
    The number one.
    
 
    One is a singleton, and can be accessed by S.One.
    
 
    Examples
    
@@ -5981,7 +5981,7 @@ 
    References
 
    
-class sympy.core.numbers.NegativeOne[source]
    
+class sympy.core.numbers.NegativeOne[source]
 
    The number negative one.
    
 
    NegativeOne is a singleton, and can be accessed by S.NegativeOne.
    
 
    Examples
    
@@ -6005,7 +6005,7 @@ 
    References
 
    
-class sympy.core.numbers.Half[source]
    
+class sympy.core.numbers.Half[source]
 
    The rational number 1/2.
    
 
    Half is a singleton, and can be accessed by S.Half.
    
 
    Examples
    
@@ -6025,7 +6025,7 @@ 
    References
 
    
-class sympy.core.numbers.NaN[source]
    
+class sympy.core.numbers.NaN[source]
 
    Not a Number.
    
 
    Explanation
    
 
    This serves as a place holder for numeric values that are indeterminate.
@@ -6068,7 +6068,7 @@ 
    References
 
    
-class sympy.core.numbers.Infinity[source]
    
+class sympy.core.numbers.Infinity[source]
 
    Positive infinite quantity.
    
 
    Explanation
    
 
    In real analysis the symbol \(\infty\) denotes an unbounded
@@ -6106,7 +6106,7 @@ 
    References
 
    
-class sympy.core.numbers.NegativeInfinity[source]
    
+class sympy.core.numbers.NegativeInfinity[source]
 
    Negative infinite quantity.
    
 
    NegativeInfinity is a singleton, and can be accessed
 by S.NegativeInfinity.
    
@@ -6118,7 +6118,7 @@ 
    References
 
    
-class sympy.core.numbers.ComplexInfinity[source]
    
+class sympy.core.numbers.ComplexInfinity[source]
 
    Complex infinity.
    
 
    Explanation
    
 
    In complex analysis the symbol \(\tilde\infty\), called “complex
@@ -6146,7 +6146,7 @@ 
    References
 
    
-class sympy.core.numbers.Exp1[source]
    
+class sympy.core.numbers.Exp1[source]
 
    The \(e\) constant.
    
 
    Explanation
    
 
    The transcendental number \(e = 2.718281828\ldots\) is the base of the
@@ -6173,7 +6173,7 @@ 
    References
 
    
-class sympy.core.numbers.ImaginaryUnit[source]
    
+class sympy.core.numbers.ImaginaryUnit[source]
 
    The imaginary unit, \(i = \sqrt{-1}\).
    
 
    I is a singleton, and can be accessed by S.I, or can be
 imported as I.
    
@@ -6198,7 +6198,7 @@ 
    References
 
    
-class sympy.core.numbers.Pi[source]
    
+class sympy.core.numbers.Pi[source]
 
    The \(\pi\) constant.
    
 
    Explanation
    
 
    The transcendental number \(\pi = 3.141592654\ldots\) represents the ratio
@@ -6233,7 +6233,7 @@ 
    References
 
    
-class sympy.core.numbers.EulerGamma[source]
    
+class sympy.core.numbers.EulerGamma[source]
 
    The Euler-Mascheroni constant.
    
 
    Explanation
    
 
    \(\gamma = 0.5772157\ldots\) (also called Euler’s constant) is a mathematical
@@ -6266,7 +6266,7 @@ 
    References
 
    
-class sympy.core.numbers.Catalan[source]
    
+class sympy.core.numbers.Catalan[source]
 
    Catalan’s constant.
    
 
    Explanation
    
 
    \(G = 0.91596559\ldots\) is given by the infinite series
    
@@ -6295,7 +6295,7 @@ 
    References
 
    
-class sympy.core.numbers.GoldenRatio[source]
    
+class sympy.core.numbers.GoldenRatio[source]
 
    The golden ratio, \(\phi\).
    
 
    Explanation
    
 
    \(\phi = \frac{1 + \sqrt{5}}{2}\) is an algebraic number.  Two quantities
@@ -6323,7 +6323,7 @@ 
    References
 
    
-class sympy.core.numbers.TribonacciConstant[source]
    
+class sympy.core.numbers.TribonacciConstant[source]
 
    The tribonacci constant.
    
 
    Explanation
    
 
    The tribonacci numbers are like the Fibonacci numbers, but instead
@@ -6358,7 +6358,7 @@ 
    References
 
    
-sympy.core.numbers.mod_inverse(a, m)[source]
    
+sympy.core.numbers.mod_inverse(a, m)[source]
 
    Return the number \(c\) such that, \(a \times c = 1 \pmod{m}\)
 where \(c\) has the same sign as \(m\). If no such value exists,
 a ValueError is raised.
    
@@ -6404,7 +6404,7 @@ 
    References
 
    
-sympy.core.numbers.equal_valued(x, y)[source]
    
+sympy.core.numbers.equal_valued(x, y)[source]
 
    Compare expressions treating plain floats as rationals.
    
 
    Examples
    
 
    >>> from sympy import S, symbols, Rational, Float
@@ -6461,7 +6461,7 @@ 
    References
    power
    
 
    
 
    
-class sympy.core.power.Pow(b, e, evaluate=None)[source]
    
+class sympy.core.power.Pow(b, e, evaluate=None)[source]
 
    Defines the expression x**y as “x raised to a power y”
    
 
    
 
    Deprecated since version 1.7: Using arguments that aren’t subclasses of Expr in core
@@ -6599,7 +6599,7 @@ 
    References
 
    
-as_base_exp()[source]
    
+as_base_exp()[source]
 
    Return base and exp of self.
    
 
    Explanation
    
 
    If base a Rational less than 1, then return 1/Rational, -exp.
@@ -6627,7 +6627,7 @@ 
    Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    Return the tuple (R, self/R) where R is the positive Rational
 extracted from self.
    
 
    Examples
    
@@ -6678,7 +6678,7 @@ 
    References
    mul
    
 
    
 
    
-class sympy.core.mul.Mul(*args, evaluate=None, _sympify=True)[source]
    
+class sympy.core.mul.Mul(*args, evaluate=None, _sympify=True)[source]
 
    Expression representing multiplication operation for algebraic field.
    
 
    
 
    Deprecated since version 1.7: Using arguments that aren’t subclasses of Expr in core
@@ -6750,7 +6750,7 @@ 
    References
 
    
-as_coeff_Mul(rational=False)[source]
    
+as_coeff_Mul(rational=False)[source]
 
    Efficiently extract the coefficient of a product.
    
 
    
 
@@ -6763,7 +6763,7 @@ 
    Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    Return the tuple (R, self/R) where R is the positive Rational
 extracted from self.
    
 
    Examples
    
@@ -6777,7 +6777,7 @@ 
    References
 
    
-as_ordered_factors(order=None)[source]
    
+as_ordered_factors(order=None)[source]
 
    Transform an expression into an ordered list of factors.
    
 
    Examples
    
 
    >>> from sympy import sin, cos
@@ -6792,7 +6792,7 @@ 
    References
 
    
-as_two_terms()[source]
    
+as_two_terms()[source]
 
    Return head and tail of self.
    
 
    This is the most efficient way to get the head and tail of an
 expression.
    
@@ -6814,7 +6814,7 @@ 
    References
 
    
-classmethod flatten(seq)[source]
    
+classmethod flatten(seq)[source]
 
    Return commutative, noncommutative and order arguments by
 combining related terms.
    
 
    Notes
    
@@ -6897,7 +6897,7 @@ 
    References
 
    
-sympy.core.mul.prod(a, start=1)[source]
    
+sympy.core.mul.prod(a, start=1)[source]
 
    
 
    Return product of elements of a. Start with int 1 so if only
    ints are included then an int result is returned.
    
 
    
@@ -6926,7 +6926,7 @@ 
    References
    add
    
 
    
 
    
-class sympy.core.add.Add(*args, evaluate=None, _sympify=True)[source]
    
+class sympy.core.add.Add(*args, evaluate=None, _sympify=True)[source]
 
    Expression representing addition operation for algebraic group.
    
 
    
 
    Deprecated since version 1.7: Using arguments that aren’t subclasses of Expr in core
@@ -7012,13 +7012,13 @@ 
    References
 
    
-as_coeff_Add(rational=False, deps=None)[source]
    
+as_coeff_Add(rational=False, deps=None)[source]
 
    Efficiently extract the coefficient of a summation.
    
 
    
 
 
    
 
    
-as_coeff_add(*deps)[source]
    
+as_coeff_add(*deps)[source]
 
    Returns a tuple (coeff, args) where self is treated as an Add and coeff
 is the Number term and args is a tuple of all other terms.
    
 
    Examples
    
@@ -7040,7 +7040,7 @@ 
    Referencesclear=True,
    
 
    
 
-)[source]
+)[source]
 
    Return the tuple (R, self/R) where R is the positive Rational
 extracted from self. If radical is True (default is False) then
 common radicals will be removed and included as a factor of the
@@ -7061,7 +7061,7 @@ 
    References
 
    
-as_numer_denom()[source]
    
+as_numer_denom()[source]
 
    Decomposes an expression to its numerator part and its
 denominator part.
    
 
    Examples
    
@@ -7080,7 +7080,7 @@ 
    References
 
    
-as_real_imag(deep=True, **hints)[source]
    
+as_real_imag(deep=True, **hints)[source]
 
    Return a tuple representing a complex number.
    
 
    Examples
    
 
    >>> from sympy import I
@@ -7096,7 +7096,7 @@ 
    References
 
    
-as_two_terms()[source]
    
+as_two_terms()[source]
 
    Return head and tail of self.
    
 
    This is the most efficient way to get the head and tail of an
 expression.
    
@@ -7117,7 +7117,7 @@ 
    References
 
    
-extract_leading_order(symbols, point=None)[source]
    
+extract_leading_order(symbols, point=None)[source]
 
    Returns the leading term and its order.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -7133,7 +7133,7 @@ 
    References
 
    
-classmethod flatten(seq)[source]
    
+classmethod flatten(seq)[source]
 
    Takes the sequence “seq” of nested Adds and returns a flatten list.
    
 
    Returns: (commutative_part, noncommutative_part, order_symbols)
    
 
    Applies associativity, all terms are commutable with respect to
@@ -7147,7 +7147,7 @@ 
    References
 
    
-primitive()[source]
    
+primitive()[source]
 
    Return (R, self/R) where R` is the Rational GCD of self`.
    
 
    R is collected only from the leading coefficient of each term.
    
 
    Examples
    
@@ -7187,7 +7187,7 @@ 
    References
    mod
    
 
    
 
    
-class sympy.core.mod.Mod(p, q)[source]
    
+class sympy.core.mod.Mod(p, q)[source]
 
    Represents a modulo operation on symbolic expressions.
    
 
    
 
    Parameters:
    
@@ -7231,7 +7231,7 @@ 
    References
    relational
    
 
    
 
    
-class sympy.core.relational.Relational(lhs, rhs, rop=None, **assumptions)[source]
    
+class sympy.core.relational.Relational(lhs, rhs, rop=None, **assumptions)[source]
 
    Base class for all relation types.
    
 
    
 
    Parameters:
    
@@ -7359,7 +7359,7 @@ 
    References
 
    
-equals(other, failing_expression=False)[source]
    
+equals(other, failing_expression=False)[source]
 
    Return True if the sides of the relationship are mathematically
 identical and the type of relationship is the same.
 If failing_expression is True, return the expression whose truth value
@@ -7472,49 +7472,49 @@ 
    References
 
    
-sympy.core.relational.Rel[source]
    
+sympy.core.relational.Rel[source]
 
    alias of Relational
    
 
    
 
 
    
 
    
-sympy.core.relational.Eq[source]
    
+sympy.core.relational.Eq[source]
 
    alias of Equality
    
 
    
 
 
    
 
    
-sympy.core.relational.Ne[source]
    
+sympy.core.relational.Ne[source]
 
    alias of Unequality
    
 
    
 
 
    
 
    
-sympy.core.relational.Lt[source]
    
+sympy.core.relational.Lt[source]
 
    alias of StrictLessThan
    
 
    
 
 
    
 
    
-sympy.core.relational.Le[source]
    
+sympy.core.relational.Le[source]
 
    alias of LessThan
    
 
    
 
 
    
 
    
-sympy.core.relational.Gt[source]
    
+sympy.core.relational.Gt[source]
 
    alias of StrictGreaterThan
    
 
    
 
 
    
 
    
-sympy.core.relational.Ge[source]
    
+sympy.core.relational.Ge[source]
 
    alias of GreaterThan
    
 
    
 
 
    
 
    
-class sympy.core.relational.Equality(lhs, rhs, **options)[source]
    
+class sympy.core.relational.Equality(lhs, rhs, **options)[source]
 
    An equal relation between two objects.
    
 
    Explanation
    
 
    Represents that two objects are equal.  If they can be easily shown
@@ -7573,7 +7573,7 @@ 
    References
 
    
-as_poly(*gens, **kwargs)[source]
    
+as_poly(*gens, **kwargs)[source]
 
    Returns lhs-rhs as a Poly
    
 
    Examples
    
 
    >>> from sympy import Eq
@@ -7586,7 +7586,7 @@ 
    References
 
    
-integrate(*args, **kwargs)[source]
    
+integrate(*args, **kwargs)[source]
 
    See the integrate function in sympy.integrals
    
 
    
 
@@ -7594,7 +7594,7 @@ 
    References
 
    
-class sympy.core.relational.GreaterThan(lhs, rhs, **options)[source]
    
+class sympy.core.relational.GreaterThan(lhs, rhs, **options)[source]
 
    Class representations of inequalities.
    
 
    Explanation
    
 
    The *Than classes represent inequal relationships, where the left-hand
@@ -7848,7 +7848,7 @@ 
    References
 
    
-class sympy.core.relational.LessThan(lhs, rhs, **options)[source]
    
+class sympy.core.relational.LessThan(lhs, rhs, **options)[source]
 
    Class representations of inequalities.
    
 
    Explanation
    
 
    The *Than classes represent inequal relationships, where the left-hand
@@ -8102,7 +8102,7 @@ 
    References
 
    
-class sympy.core.relational.Unequality(lhs, rhs, **options)[source]
    
+class sympy.core.relational.Unequality(lhs, rhs, **options)[source]
 
    An unequal relation between two objects.
    
 
    Explanation
    
 
    Represents that two objects are not equal.  If they can be shown to be
@@ -8130,7 +8130,7 @@ 
    References
 
    
-class sympy.core.relational.StrictGreaterThan(lhs, rhs, **options)[source]
    
+class sympy.core.relational.StrictGreaterThan(lhs, rhs, **options)[source]
 
    Class representations of inequalities.
    
 
    Explanation
    
 
    The *Than classes represent inequal relationships, where the left-hand
@@ -8384,7 +8384,7 @@ 
    References
 
    
-class sympy.core.relational.StrictLessThan(lhs, rhs, **options)[source]
    
+class sympy.core.relational.StrictLessThan(lhs, rhs, **options)[source]
 
    Class representations of inequalities.
    
 
    Explanation
    
 
    The *Than classes represent inequal relationships, where the left-hand
@@ -8641,7 +8641,7 @@ 
    References
    multidimensional
    
 
    
 
    
-class sympy.core.multidimensional.vectorize(*mdargs)[source]
    
+class sympy.core.multidimensional.vectorize(*mdargs)[source]
 
    Generalizes a function taking scalars to accept multidimensional arguments.
    
 
    Examples
    
 
    >>> from sympy import vectorize, diff, sin, symbols, Function
@@ -8674,7 +8674,7 @@ 
    References
    function
    
 
    
 
    
-class sympy.core.function.Lambda(signature, expr)[source]
    
+class sympy.core.function.Lambda(signature, expr)[source]
 
    Lambda(x, expr) represents a lambda function similar to Python’s
 ‘lambda x: expr’. A function of several variables is written as
 Lambda((x, y, …), expr).
    
@@ -8741,7 +8741,7 @@ 
    References
 
    
-class sympy.core.function.WildFunction(*args)[source]
    
+class sympy.core.function.WildFunction(*args)[source]
 
    A WildFunction function matches any function (with its arguments).
    
 
    Examples
    
 
    >>> from sympy import WildFunction, Function, cos
@@ -8788,7 +8788,7 @@ 
    References
 
    
-class sympy.core.function.Derivative(expr, *variables, **kwargs)[source]
    
+class sympy.core.function.Derivative(expr, *variables, **kwargs)[source]
 
    Carries out differentiation of the given expression with respect to symbols.
    
 
    Examples
    
 
    >>> from sympy import Derivative, Function, symbols, Subs
@@ -8992,7 +8992,7 @@ 
    References
 
    
-classmethod _sort_variable_count(vc)[source]
    
+classmethod _sort_variable_count(vc)[source]
 
    Sort (variable, count) pairs into canonical order while
 retaining order of variables that do not commute during
 differentiation:
    
@@ -9051,7 +9051,7 @@ 
    Referenceswrt=None,
    
 
    
 
-)[source]
+)[source]
 
    Expresses a Derivative instance as a finite difference.
    
 
    
 
    Parameters:
    
@@ -9137,7 +9137,7 @@ 
    References
 
    
-doit_numerically(z0)[source]
    
+doit_numerically(z0)[source]
 
    Evaluate the derivative at z numerically.
    
 
    When we can represent derivatives at a point, this should be folded
 into the normal evalf. For now, we need a special method.
    
@@ -9147,7 +9147,7 @@ 
    References
 
    
-sympy.core.function.diff(f, *symbols, **kwargs)[source]
    
+sympy.core.function.diff(f, *symbols, **kwargs)[source]
 
    Differentiate f with respect to symbols.
    
 
    Explanation
    
 
    This is just a wrapper to unify .diff() and the Derivative class; its
@@ -9213,7 +9213,7 @@ 
    References
 
    
-class sympy.core.function.FunctionClass(*args, **kwargs)[source]
    
+class sympy.core.function.FunctionClass(*args, **kwargs)[source]
 
    Base class for function classes. FunctionClass is a subclass of type.
    
 
    Use Function(‘<function name>’ [ , signature ]) to create
 undefined function classes.
    
@@ -9256,7 +9256,7 @@ 
    References
 
    
-class sympy.core.function.Function(*args)[source]
    
+class sympy.core.function.Function(*args)[source]
 
    Base class for applied mathematical functions.
    
 
    It also serves as a constructor for undefined function classes.
    
 
    See the Writing Custom Functions guide for details on how to subclass
@@ -9304,13 +9304,13 @@ 
    References
 
    
-fdiff(argindex=1)[source]
    
+fdiff(argindex=1)[source]
 
    Returns the first derivative of the function.
    
 
    
 
 
    
 
    
-classmethod is_singular(a)[source]
    
+classmethod is_singular(a)[source]
 
    Tests whether the argument is an essential singularity
 or a branch point, or the functions is non-holomorphic.
    
 
    
@@ -9347,7 +9347,7 @@ 
    References
 
    
-class sympy.core.function.Subs(expr, variables, point, **assumptions)[source]
    
+class sympy.core.function.Subs(expr, variables, point, **assumptions)[source]
 
    Represents unevaluated substitutions of an expression.
    
 
    Subs(expr, x, x0) represents the expression resulting
 from substituting x with x0 in expr.
    
@@ -9469,7 +9469,7 @@ 
    References**hints,
    
 
    
 
-)[source]
+)[source]
 
    Expand an expression using methods given as hints.
    
 
    Explanation
    
 
    Hints evaluated unless explicitly set to False are:  basic, log,
@@ -9752,12 +9752,12 @@ 
    References
 
    
-class sympy.core.function.PoleError[source]
    
+class sympy.core.function.PoleError[source]
 
    
 
 
    
 
    
-sympy.core.function.count_ops(expr, visual=False)[source]
    
+sympy.core.function.count_ops(expr, visual=False)[source]
 
    Return a representation (integer or expression) of the operations in expr.
    
 
    
 
    Parameters:
    
@@ -9832,7 +9832,7 @@ 
    References
 
    
-sympy.core.function.expand_mul(expr, deep=True)[source]
    
+sympy.core.function.expand_mul(expr, deep=True)[source]
 
    Wrapper around expand that only uses the mul hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9855,7 +9855,7 @@ 
    Referencesfactor=False,
    
 
    
 
-)[source]
+)[source]
 
    Wrapper around expand that only uses the log hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9869,7 +9869,7 @@ 
    References
 
    
-sympy.core.function.expand_func(expr, deep=True)[source]
    
+sympy.core.function.expand_func(expr, deep=True)[source]
 
    Wrapper around expand that only uses the func hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9883,7 +9883,7 @@ 
    References
 
    
-sympy.core.function.expand_trig(expr, deep=True)[source]
    
+sympy.core.function.expand_trig(expr, deep=True)[source]
 
    Wrapper around expand that only uses the trig hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9897,7 +9897,7 @@ 
    References
 
    
-sympy.core.function.expand_complex(expr, deep=True)[source]
    
+sympy.core.function.expand_complex(expr, deep=True)[source]
 
    Wrapper around expand that only uses the complex hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9917,7 +9917,7 @@ 
    References
 
    
-sympy.core.function.expand_multinomial(expr, deep=True)[source]
    
+sympy.core.function.expand_multinomial(expr, deep=True)[source]
 
    Wrapper around expand that only uses the multinomial hint.  See the expand
 docstring for more information.
    
 
    Examples
    
@@ -9931,7 +9931,7 @@ 
    References
 
    
-sympy.core.function.expand_power_exp(expr, deep=True)[source]
    
+sympy.core.function.expand_power_exp(expr, deep=True)[source]
 
    Wrapper around expand that only uses the power_exp hint.
    
 
    See the expand docstring for more information.
    
 
    Examples
    
@@ -9954,7 +9954,7 @@ 
    References
 
    
-sympy.core.function.expand_power_base(expr, deep=True, force=False)[source]
    
+sympy.core.function.expand_power_base(expr, deep=True, force=False)[source]
 
    Wrapper around expand that only uses the power_base hint.
    
 
    A wrapper to expand(power_base=True) which separates a power with a base
 that is a Mul into a product of powers, without performing any other
@@ -10039,7 +10039,7 @@ 
    References
 
    
-sympy.core.function.nfloat(expr, n=15, exponent=False, dkeys=False)[source]
    
+sympy.core.function.nfloat(expr, n=15, exponent=False, dkeys=False)[source]
 
    Make all Rationals in expr Floats except those in exponents
 (unless the exponents flag is set to True) and those in undefined
 functions. When processing dictionaries, do not modify the keys
@@ -10065,7 +10065,7 @@ 
    References
    evalf
    
 
    
 
    
-class sympy.core.evalf.EvalfMixin[source]
    
+class sympy.core.evalf.EvalfMixin[source]
 
    Mixin class adding evalf capability.
    
 
    
 
    
@@ -10081,7 +10081,7 @@ 
    Referencesverbose=False,
    
 
    
 
-)[source]
+)[source]
 
    Evaluate the given formula to an accuracy of n digits.
    
 
    
 
    Parameters:
    
@@ -10164,7 +10164,7 @@ 
    Referencesverbose=False,
    
 
    
 
-)[source]
+)[source]
 
    Evaluate the given formula to an accuracy of n digits.
    
 
    
 
    Parameters:
    
@@ -10237,12 +10237,12 @@ 
    References
 
    
-class sympy.core.evalf.PrecisionExhausted[source]
    
+class sympy.core.evalf.PrecisionExhausted[source]
 
    
 
 
    
 
    
-sympy.core.evalf.N(x, n=15, **options)[source]
    
+sympy.core.evalf.N(x, n=15, **options)[source]
 
    Calls x.evalf(n, **options).
    
 
    Explanations
    
 
    Both .n() and N() are equivalent to .evalf(); use the one that you like better.
@@ -10263,7 +10263,7 @@ 
    References
    containers
    
 
    
 
    
-class sympy.core.containers.Tuple(*args, **kwargs)[source]
    
+class sympy.core.containers.Tuple(*args, **kwargs)[source]
 
    Wrapper around the builtin tuple object.
    
 
    
 
    Parameters:
    
@@ -10290,7 +10290,7 @@ 
    References
 
    
-index(value, start=None, stop=None)[source]
    
+index(value, start=None, stop=None)[source]
 
    Searches and returns the first index of the value.
    
 
    
 
@@ -10318,7 +10318,7 @@ 
    References
 
    
-tuple_count(value) → int[source]
    
+tuple_count(value) → int[source]
 
    Return number of occurrences of value.
    
 
    
 
@@ -10326,7 +10326,7 @@ 
    References
 
    
-class sympy.core.containers.TupleKind(*args)[source]
    
+class sympy.core.containers.TupleKind(*args)[source]
 
    TupleKind is a subclass of Kind, which is used to define Kind of Tuple.
    
 
    Parameters of TupleKind will be kinds of all the arguments in Tuples, for
 example
    
@@ -10355,7 +10355,7 @@ 
    References
 
    
-class sympy.core.containers.Dict(*args)[source]
    
+class sympy.core.containers.Dict(*args)[source]
 
    Wrapper around the builtin dict object.
    
 
    Explanation
    
 
    The Dict is a subclass of Basic, so that it works well in the
@@ -10388,25 +10388,25 @@ 
    References
 
    
-get(key, default=None)[source]
    
+get(key, default=None)[source]
 
    Returns the value for key if the key is in the dictionary.
    
 
    
 
 
    
 
    
-items()[source]
    
+items()[source]
 
    Returns a set-like object providing a view on dict’s items.
    
 
    
 
 
    
 
    
-keys()[source]
    
+keys()[source]
 
    Returns the list of the dict’s keys.
    
 
    
 
 
    
 
    
-values()[source]
    
+values()[source]
 
    Returns the list of the dict’s values.
    
 
    
 
@@ -10426,7 +10426,7 @@ 
    Referencesfraction=True,
    
 
    
 
-)[source]
+)[source]
 
    Compute the GCD of terms and put them together.
    
 
    
 
    Parameters:
    
@@ -10503,7 +10503,7 @@ 
    Referencessign=True,
    
 
    
 
-)[source]
+)[source]
 
    Remove common factors from terms in all arguments without
 changing the underlying structure of the expr. No expansion or
 simplification (and no processing of non-commutatives) is performed.
    
@@ -10572,7 +10572,7 @@ 
    References
    kind
    
 
    
 
    
-class sympy.core.kind.Kind(*args)[source]
    
+class sympy.core.kind.Kind(*args)[source]
 
    Base class for kinds.
    
 
    Kind of the object represents the mathematical classification that
 the entity falls into. It is expected that functions and classes
@@ -10616,7 +10616,7 @@ 
    References
    
 
    
 
    
-sympy.core.sorting.default_sort_key(item, order=None)[source]
    
+sympy.core.sorting.default_sort_key(item, order=None)[source]
 
    Return a key that can be used for sorting.
    
 
    The key has the structure:
    
 
    (class_key, (len(args), args), exponent.sort_key(), coefficient)
    
@@ -10722,7 +10722,7 @@ 
    Sorting
    
 
    
-sympy.core.sorting.ordered(seq, keys=None, default=True, warn=False)[source]
    
+sympy.core.sorting.ordered(seq, keys=None, default=True, warn=False)[source]
 
    Return an iterator of the seq where keys are used to break ties
 in a conservative fashion: if, after applying a key, there are no
 ties then no other keys will be computed.
    
@@ -10833,7 +10833,7 @@ 
    Examplestolerance=None,
    
 
    
 
-)[source]
+)[source]
 
    Return a random complex number.
    
 
    To reduce chance of hitting branch cuts or anything, we guarantee
 b <= Im z <= d, a <= Re z <= c
    
@@ -10856,7 +10856,7 @@ 
    Examplesd=1,
    
 
    
 
-)[source]
+)[source]
 
    Test numerically that f and g agree when evaluated in the argument z.
    
 
    If z is None, all symbols will be tested. This routine does not test
 whether there are Floats present with precision higher than 15 digits
@@ -10886,7 +10886,7 @@ 
    Examplesd=1,
    
 
    
 
-)[source]
+)[source]
 
    Test numerically that the symbolically computed derivative of f
 with respect to z is correct.
    
 
    This routine does not test whether there are Floats present with
@@ -10904,7 +10904,7 @@ 
    Examples
 
    
-sympy.core.random._randrange(seed=None)[source]
    
+sympy.core.random._randrange(seed=None)[source]
 
    Return a randrange generator.
    
 
    seed can be
    
 
      
@@ -10930,7 +10930,7 @@ 
      Examples
 
      
-sympy.core.random._randint(seed=None)[source]
      
+sympy.core.random._randint(seed=None)[source]
 
      Return a randint generator.
      
 
      seed can be
      
 
        
@@ -10959,7 +10959,7 @@ 
        Examples
        Traversal
        
 
        
 
        
-sympy.core.traversal.bottom_up(rv, F, atoms=False, nonbasic=False)[source]
        
+sympy.core.traversal.bottom_up(rv, F, atoms=False, nonbasic=False)[source]
 
        Apply F to all expressions in an expression tree from the
 bottom up. If atoms is True, apply F even if there are no args;
 if nonbasic is True, try to apply F to non-Basic objects.
        
@@ -10967,7 +10967,7 @@ 
        Examples
 
        
-sympy.core.traversal.postorder_traversal(node, keys=None)[source]
        
+sympy.core.traversal.postorder_traversal(node, keys=None)[source]
 
        Do a postorder traversal of a tree.
        
 
        This generator recursively yields nodes that it has visited in a postorder
 fashion. That is, it descends through the tree depth-first to yield all of
@@ -11012,7 +11012,7 @@ 
        Examples
 
        
-sympy.core.traversal.preorder_traversal(node, keys=None)[source]
        
+sympy.core.traversal.preorder_traversal(node, keys=None)[source]
 
        Do a pre-order traversal of a tree.
        
 
        This iterator recursively yields nodes that it has visited in a pre-order
 fashion. That is, it yields the current node then descends through the
@@ -11060,7 +11060,7 @@ 
        Examples
 
        
-sympy.core.traversal.use(expr, func, level=0, args=(), kwargs={})[source]
        
+sympy.core.traversal.use(expr, func, level=0, args=(), kwargs={})[source]
 
        Use func to transform expr at the given level.
        
 
        Examples
        
 
        >>> from sympy import use, expand
@@ -11080,7 +11080,7 @@ 
        Examples
 
        
-sympy.core.traversal.walk(e, *target)[source]
        
+sympy.core.traversal.walk(e, *target)[source]
 
        Iterate through the args that are the given types (target) and
 return a list of the args that were traversed; arguments
 that are not of the specified types are not traversed.
        
diff --git a/dev/modules/crypto.html b/dev/modules/crypto.html
index 04b7abf7142..6b49a8ada88 100644
--- a/dev/modules/crypto.html
+++ b/dev/modules/crypto.html
@@ -835,7 +835,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.AZ(s=None)[source]
        
+sympy.crypto.crypto.AZ(s=None)[source]
 
        Return the letters of s in uppercase. In case more than
 one string is passed, each of them will be processed and a list
 of upper case strings will be returned.
        
@@ -855,7 +855,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.padded_key(key, symbols)[source]
        
+sympy.crypto.crypto.padded_key(key, symbols)[source]
 
        Return a string of the distinct characters of symbols with
 those of key appearing first. A ValueError is raised if
 a) there are duplicate characters in symbols or
@@ -874,7 +874,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.check_and_join(phrase, symbols=None, filter=None)[source]
        
+sympy.crypto.crypto.check_and_join(phrase, symbols=None, filter=None)[source]
 
        Joins characters of phrase and if symbols is given, raises
 an error if any character in phrase is not in symbols.
        
 
        
@@ -908,7 +908,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.cycle_list(k, n)[source]
        
+sympy.crypto.crypto.cycle_list(k, n)[source]
 
        Returns the elements of the list range(n) shifted to the
 left by k (so the list starts with k (mod n)).
        
 
        Examples
        
@@ -921,7 +921,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_shift(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.encipher_shift(msg, key, symbols=None)[source]
 
        Performs shift cipher encryption on plaintext msg, and returns the
 ciphertext.
        
 
        
@@ -1000,7 +1000,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_shift(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_shift(msg, key, symbols=None)[source]
 
        Return the text by shifting the characters of msg to the
 left by the amount given by key.
        
 
        Examples
        
@@ -1024,7 +1024,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_rot13(msg, symbols=None)[source]
        
+sympy.crypto.crypto.encipher_rot13(msg, symbols=None)[source]
 
        Performs the ROT13 encryption on a given plaintext msg.
        
 
        Explanation
        
 
        ROT13 is a substitution cipher which substitutes each letter
@@ -1047,7 +1047,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_rot13(msg, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_rot13(msg, symbols=None)[source]
 
        Performs the ROT13 decryption on a given plaintext msg.
        
 
        Explanation
        
 
        decipher_rot13 is equivalent to encipher_rot13 as both
@@ -1081,7 +1081,7 @@ 
        Cryptography_inverse=False,
        
 
        
 
-)[source]
+)[source]
 
        Performs the affine cipher encryption on plaintext msg, and
 returns the ciphertext.
        
 
        
@@ -1151,7 +1151,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_affine(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_affine(msg, key, symbols=None)[source]
 
        Return the deciphered text that was made from the mapping,
 \(x \rightarrow ax+b\) (mod \(N\)), where N is the
 number of characters in the alphabet. Deciphering is done by
@@ -1175,7 +1175,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_atbash(msg, symbols=None)[source]
        
+sympy.crypto.crypto.encipher_atbash(msg, symbols=None)[source]
 
        Enciphers a given msg into its Atbash ciphertext and returns it.
        
 
        Explanation
        
 
        Atbash is a substitution cipher originally used to encrypt the Hebrew
@@ -1191,7 +1191,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_atbash(msg, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_atbash(msg, symbols=None)[source]
 
        Deciphers a given msg using Atbash cipher and returns it.
        
 
        Explanation
        
 
        decipher_atbash is functionally equivalent to encipher_atbash.
@@ -1225,7 +1225,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_substitution(msg, old, new=None)[source]
        
+sympy.crypto.crypto.encipher_substitution(msg, old, new=None)[source]
 
        Returns the ciphertext obtained by replacing each character that
 appears in old with the corresponding character in new.
 If old is a mapping, then new is ignored and the replacements
@@ -1280,7 +1280,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_vigenere(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.encipher_vigenere(msg, key, symbols=None)[source]
 
        Performs the Vigenere cipher encryption on plaintext msg, and
 returns the ciphertext.
        
 
        Examples
        
@@ -1437,7 +1437,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_vigenere(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_vigenere(msg, key, symbols=None)[source]
 
        Decode using the Vigenere cipher.
        
 
        Examples
        
 
        >>> from sympy.crypto.crypto import decipher_vigenere
@@ -1451,7 +1451,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_hill(msg, key, symbols=None, pad='Q')[source]
        
+sympy.crypto.crypto.encipher_hill(msg, key, symbols=None, pad='Q')[source]
 
        Return the Hill cipher encryption of msg.
        
 
        
 
        Parameters:
        
@@ -1536,7 +1536,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_hill(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_hill(msg, key, symbols=None)[source]
 
        Deciphering is the same as enciphering but using the inverse of the
 key matrix.
        
 
        Examples
        
@@ -1587,7 +1587,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_bifid(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.encipher_bifid(msg, key, symbols=None)[source]
 
        Performs the Bifid cipher encryption on plaintext msg, and
 returns the ciphertext.
        
 
        This is the version of the Bifid cipher that uses an \(n \times n\)
@@ -1632,7 +1632,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_bifid(msg, key, symbols=None)[source]
        
+sympy.crypto.crypto.decipher_bifid(msg, key, symbols=None)[source]
 
        Performs the Bifid cipher decryption on ciphertext msg, and
 returns the plaintext.
        
 
        This is the version of the Bifid cipher that uses the \(n \times n\)
@@ -1711,7 +1711,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.bifid5_square(key=None)[source]
        
+sympy.crypto.crypto.bifid5_square(key=None)[source]
 
        5x5 Polybius square.
        
 
        Produce the Polybius square for the \(5 \times 5\) Bifid cipher.
        
 
        Examples
        
@@ -1729,7 +1729,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_bifid5(msg, key)[source]
        
+sympy.crypto.crypto.encipher_bifid5(msg, key)[source]
 
        Performs the Bifid cipher encryption on plaintext msg, and
 returns the ciphertext.
        
 
        
@@ -1832,7 +1832,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_bifid5(msg, key)[source]
        
+sympy.crypto.crypto.decipher_bifid5(msg, key)[source]
 
        Return the Bifid cipher decryption of msg.
        
 
        
 
        Parameters:
        
@@ -1874,7 +1874,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_bifid6(msg, key)[source]
        
+sympy.crypto.crypto.encipher_bifid6(msg, key)[source]
 
        Performs the Bifid cipher encryption on plaintext msg, and
 returns the ciphertext.
        
 
        This is the version of the Bifid cipher that uses the \(6 \times 6\)
@@ -1907,7 +1907,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_bifid6(msg, key)[source]
        
+sympy.crypto.crypto.decipher_bifid6(msg, key)[source]
 
        Performs the Bifid cipher decryption on ciphertext msg, and
 returns the plaintext.
        
 
        This is the version of the Bifid cipher that uses the \(6 \times 6\)
@@ -1946,7 +1946,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.bifid6_square(key=None)[source]
        
+sympy.crypto.crypto.bifid6_square(key=None)[source]
 
        6x6 Polybius square.
        
 
        Produces the Polybius square for the \(6 \times 6\) Bifid cipher.
 Assumes alphabet of symbols is “A”, …, “Z”, “0”, …, “9”.
        
@@ -1967,7 +1967,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.rsa_public_key(*args, **kwargs)[source]
        
+sympy.crypto.crypto.rsa_public_key(*args, **kwargs)[source]
 
        Return the RSA public key pair, \((n, e)\)
        
 
        
 
        Parameters:
        
@@ -2133,7 +2133,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.rsa_private_key(*args, **kwargs)[source]
        
+sympy.crypto.crypto.rsa_private_key(*args, **kwargs)[source]
 
        Return the RSA private key pair, \((n, d)\)
        
 
        
 
        Parameters:
        
@@ -2259,7 +2259,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_rsa(i, key, factors=None)[source]
        
+sympy.crypto.crypto.encipher_rsa(i, key, factors=None)[source]
 
        Encrypt the plaintext with RSA.
        
 
        
 
        Parameters:
        
@@ -2324,7 +2324,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_rsa(i, key, factors=None)[source]
        
+sympy.crypto.crypto.decipher_rsa(i, key, factors=None)[source]
 
        Decrypt the ciphertext with RSA.
        
 
        
 
        Parameters:
        
@@ -2419,7 +2419,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.kid_rsa_public_key(a, b, A, B)[source]
        
+sympy.crypto.crypto.kid_rsa_public_key(a, b, A, B)[source]
 
        Kid RSA is a version of RSA useful to teach grade school children
 since it does not involve exponentiation.
        
 
        Explanation
        
@@ -2447,7 +2447,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.kid_rsa_private_key(a, b, A, B)[source]
        
+sympy.crypto.crypto.kid_rsa_private_key(a, b, A, B)[source]
 
        Compute \(M = a b - 1\), \(e = A M + a\), \(d = B M + b\),
 \(n = (e d - 1) / M\). The private key is \(d\), which Bob
 keeps secret.
        
@@ -2462,7 +2462,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_kid_rsa(msg, key)[source]
        
+sympy.crypto.crypto.encipher_kid_rsa(msg, key)[source]
 
        Here msg is the plaintext and key is the public key.
        
 
        Examples
        
 
        >>> from sympy.crypto.crypto import (
@@ -2478,7 +2478,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_kid_rsa(msg, key)[source]
        
+sympy.crypto.crypto.decipher_kid_rsa(msg, key)[source]
 
        Here msg is the plaintext and key is the private key.
        
 
        Examples
        
 
        >>> from sympy.crypto.crypto import (
@@ -2498,7 +2498,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encode_morse(msg, sep='|', mapping=None)[source]
        
+sympy.crypto.crypto.encode_morse(msg, sep='|', mapping=None)[source]
 
        Encodes a plaintext into popular Morse Code with letters
 separated by sep and words by a double sep.
        
 
        Examples
        
@@ -2519,7 +2519,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decode_morse(msg, sep='|', mapping=None)[source]
        
+sympy.crypto.crypto.decode_morse(msg, sep='|', mapping=None)[source]
 
        Decodes a Morse Code with letters separated by sep
 (default is ‘|’) and words by \(word_sep\) (default is ‘||)
 into plaintext.
        
@@ -2541,7 +2541,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.lfsr_sequence(key, fill, n)[source]
        
+sympy.crypto.crypto.lfsr_sequence(key, fill, n)[source]
 
        This function creates an LFSR sequence.
        
 
        
 
        Parameters:
        
@@ -2630,7 +2630,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.lfsr_autocorrelation(L, P, k)[source]
        
+sympy.crypto.crypto.lfsr_autocorrelation(L, P, k)[source]
 
        This function computes the LFSR autocorrelation function.
        
 
        
 
        Parameters:
        
@@ -2673,7 +2673,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.lfsr_connection_polynomial(s)[source]
        
+sympy.crypto.crypto.lfsr_connection_polynomial(s)[source]
 
        This function computes the LFSR connection polynomial.
        
 
        
 
        Parameters:
        
@@ -2733,7 +2733,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.elgamal_public_key(key)[source]
        
+sympy.crypto.crypto.elgamal_public_key(key)[source]
 
        Return three number tuple as public key.
        
 
        
 
        Parameters:
        
@@ -2760,7 +2760,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.elgamal_private_key(digit=10, seed=None)[source]
        
+sympy.crypto.crypto.elgamal_private_key(digit=10, seed=None)[source]
 
        Return three number tuple as private key.
        
 
        
 
        Parameters:
        
@@ -2802,7 +2802,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_elgamal(i, key, seed=None)[source]
        
+sympy.crypto.crypto.encipher_elgamal(i, key, seed=None)[source]
 
        Encrypt message with public key.
        
 
        
 
        Parameters:
        
@@ -2848,7 +2848,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_elgamal(msg, key)[source]
        
+sympy.crypto.crypto.decipher_elgamal(msg, key)[source]
 
        Decrypt message with private key.
        
 
        \(msg = (c_{1}, c_{2})\)
        
 
        \(key = (p, r, d)\)
        
@@ -2876,7 +2876,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.dh_public_key(key)[source]
        
+sympy.crypto.crypto.dh_public_key(key)[source]
 
        Return three number tuple as public key.
        
 
        This is the tuple that Alice sends to Bob.
        
 
        
@@ -2908,7 +2908,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.dh_private_key(digit=10, seed=None)[source]
        
+sympy.crypto.crypto.dh_private_key(digit=10, seed=None)[source]
 
        Return three integer tuple as private key.
        
 
        
 
        Parameters:
        
@@ -2964,7 +2964,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.dh_shared_key(key, b)[source]
        
+sympy.crypto.crypto.dh_shared_key(key, b)[source]
 
        Return an integer that is the shared key.
        
 
        This is what Bob and Alice can both calculate using the public
 keys they received from each other and their private keys.
        
@@ -3001,7 +3001,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.gm_public_key(p, q, a=None, seed=None)[source]
        
+sympy.crypto.crypto.gm_public_key(p, q, a=None, seed=None)[source]
 
        Compute public keys for p and q.
 Note that in Goldwasser-Micali Encryption,
 public keys are randomly selected.
        
@@ -3025,7 +3025,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.gm_private_key(p, q, a=None)[source]
        
+sympy.crypto.crypto.gm_private_key(p, q, a=None)[source]
 
        Check if p and q can be used as private keys for
 the Goldwasser-Micali encryption. The method works
 roughly as follows.
        
@@ -3085,7 +3085,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_gm(i, key, seed=None)[source]
        
+sympy.crypto.crypto.encipher_gm(i, key, seed=None)[source]
 
        Encrypt integer ‘i’ using public_key ‘key’
 Note that gm uses random encryption.
        
 
        
@@ -3110,7 +3110,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_gm(message, key)[source]
        
+sympy.crypto.crypto.decipher_gm(message, key)[source]
 
        Decrypt message ‘message’ using public_key ‘key’.
        
 
        
 
        Parameters:
        
@@ -3134,7 +3134,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.encipher_railfence(message, rails)[source]
        
+sympy.crypto.crypto.encipher_railfence(message, rails)[source]
 
        Performs Railfence Encryption on plaintext and returns ciphertext
        
 
        
 
        Parameters:
        
@@ -3163,7 +3163,7 @@ 
        Cryptography
 
        
-sympy.crypto.crypto.decipher_railfence(ciphertext, rails)[source]
        
+sympy.crypto.crypto.decipher_railfence(ciphertext, rails)[source]
 
        Decrypt the message using the given rails
        
 
        
 
        Parameters:
        
diff --git a/dev/modules/diffgeom.html b/dev/modules/diffgeom.html
index ba5ca356142..c47c632eaa1 100644
--- a/dev/modules/diffgeom.html
+++ b/dev/modules/diffgeom.html
@@ -807,7 +807,7 @@ 
        Introduction
        
 
        
 
        
-class sympy.diffgeom.Manifold(name, dim, **kwargs)[source]
        
+class sympy.diffgeom.Manifold(name, dim, **kwargs)[source]
 
        A mathematical manifold.
        
 
        
 
        Parameters:
        
@@ -846,7 +846,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.Patch(name, manifold, **kwargs)[source]
        
+class sympy.diffgeom.Patch(name, manifold, **kwargs)[source]
 
        A patch on a manifold.
        
 
        
 
        Parameters:
        
@@ -900,7 +900,7 @@ 
        Base Class Reference**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        A coordinate system defined on the patch.
        
 
        
 
        Parameters:
        
@@ -1009,7 +1009,7 @@ 
        Base Class Reference
 
        
 
        
-base_oneform(coord_index)[source]
        
+base_oneform(coord_index)[source]
 
        Return a basis 1-form field.
 The basis one-form field for this coordinate system. It is also an
 operator on vector fields.
        
@@ -1017,27 +1017,27 @@ 
        Base Class Reference
 
        
-base_oneforms()[source]
        
+base_oneforms()[source]
 
        Returns a list of all base oneforms.
 For more details see the base_oneform method of this class.
        
 
        
 
 
        
 
        
-base_scalar(coord_index)[source]
        
+base_scalar(coord_index)[source]
 
        Return BaseScalarField that takes a point and returns one of the coordinates.
        
 
        
 
 
        
 
        
-base_scalars()[source]
        
+base_scalars()[source]
 
        Returns a list of all coordinate functions.
 For more details see the base_scalar method of this class.
        
 
        
 
 
        
 
        
-base_vector(coord_index)[source]
        
+base_vector(coord_index)[source]
 
        Return a basis vector field.
 The basis vector field for this coordinate system. It is also an
 operator on scalar fields.
        
@@ -1045,20 +1045,20 @@ 
        Base Class Reference
 
        
-base_vectors()[source]
        
+base_vectors()[source]
 
        Returns a list of all base vectors.
 For more details see the base_vector method of this class.
        
 
        
 
 
        
 
        
-coord_function(coord_index)[source]
        
+coord_function(coord_index)[source]
 
        Return BaseScalarField that takes a point and returns one of the coordinates.
        
 
        
 
 
        
 
        
-coord_functions()[source]
        
+coord_functions()[source]
 
        Returns a list of all coordinate functions.
 For more details see the base_scalar method of this class.
        
 
        
@@ -1072,13 +1072,13 @@ 
        Base Class Referencecoords,
        
 
        
 
-)[source]
+)[source]
 
        Transform coords to coord system to_sys.
        
 
        
 
 
        
 
        
-jacobian(sys, coordinates=None)[source]
        
+jacobian(sys, coordinates=None)[source]
 
        Return the jacobian matrix of a transformation on given coordinates.
 If coordinates are not given, coordinate symbols of self are used.
        
 
        
@@ -1113,7 +1113,7 @@ 
        Base Class Referencecoordinates=None,
        
 
        
 
-)[source]
+)[source]
 
        Return the jacobian determinant of a transformation on given
 coordinates. If coordinates are not given, coordinate symbols of self
 are used.
        
@@ -1138,7 +1138,7 @@ 
        Base Class Reference
 
        
-jacobian_matrix(sys, coordinates=None)[source]
        
+jacobian_matrix(sys, coordinates=None)[source]
 
        Return the jacobian matrix of a transformation on given coordinates.
 If coordinates are not given, coordinate symbols of self are used.
        
 
        
@@ -1166,19 +1166,19 @@ 
        Base Class Reference
 
        
-point(coords)[source]
        
+point(coords)[source]
 
        Create a Point with coordinates given in this coord system.
        
 
        
 
 
        
 
        
-point_to_coords(point)[source]
        
+point_to_coords(point)[source]
 
        Calculate the coordinates of a point in this coord system.
        
 
        
 
 
        
 
        
-transform(sys, coordinates=None)[source]
        
+transform(sys, coordinates=None)[source]
 
        Return the result of coordinate transformation from self to sys.
 If coordinates are not given, coordinate symbols of self are used.
        
 
        
@@ -1206,7 +1206,7 @@ 
        Base Class Reference
 
        
-transformation(sys)[source]
        
+transformation(sys)[source]
 
        Return coordinate transformation function from self to sys.
        
 
        
 
        Parameters:
        
@@ -1230,7 +1230,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.CoordinateSymbol(coord_sys, index, **assumptions)[source]
        
+class sympy.diffgeom.CoordinateSymbol(coord_sys, index, **assumptions)[source]
 
        A symbol which denotes an abstract value of i-th coordinate of
 the coordinate system with given context.
        
 
        
@@ -1283,7 +1283,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.Point(coord_sys, coords, **kwargs)[source]
        
+class sympy.diffgeom.Point(coord_sys, coords, **kwargs)[source]
 
        Point defined in a coordinate system.
        
 
        
 
        Parameters:
        
@@ -1329,7 +1329,7 @@ 
        Base Class Reference
 
        
 
        
-coords(sys=None)[source]
        
+coords(sys=None)[source]
 
        Coordinates of the point in given coordinate system. If coordinate system
 is not passed, it returns the coordinates in the coordinate system in which
 the poin was defined.
        
@@ -1339,7 +1339,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.BaseScalarField(coord_sys, index, **kwargs)[source]
        
+class sympy.diffgeom.BaseScalarField(coord_sys, index, **kwargs)[source]
 
        Base scalar field over a manifold for a given coordinate system.
        
 
        
 
        Parameters:
        
@@ -1389,7 +1389,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.BaseVectorField(coord_sys, index, **kwargs)[source]
        
+class sympy.diffgeom.BaseVectorField(coord_sys, index, **kwargs)[source]
 
        Base vector field over a manifold for a given coordinate system.
        
 
        
 
        Parameters:
        
@@ -1445,7 +1445,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.Commutator(v1, v2)[source]
        
+class sympy.diffgeom.Commutator(v1, v2)[source]
 
        Commutator of two vector fields.
        
 
        Explanation
        
 
        The commutator of two vector fields \(v_1\) and \(v_2\) is defined as the
@@ -1479,7 +1479,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.Differential(form_field)[source]
        
+class sympy.diffgeom.Differential(form_field)[source]
 
        Return the differential (exterior derivative) of a form field.
        
 
        Explanation
        
 
        The differential of a form (i.e. the exterior derivative) has a complicated
@@ -1521,7 +1521,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.TensorProduct(*args)[source]
        
+class sympy.diffgeom.TensorProduct(*args)[source]
 
        Tensor product of forms.
        
 
        Explanation
        
 
        The tensor product permits the creation of multilinear functionals (i.e.
@@ -1575,7 +1575,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.WedgeProduct(*args)[source]
        
+class sympy.diffgeom.WedgeProduct(*args)[source]
 
        Wedge product of forms.
        
 
        Explanation
        
 
        In the context of integration only completely antisymmetric forms make
@@ -1610,7 +1610,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.LieDerivative(v_field, expr)[source]
        
+class sympy.diffgeom.LieDerivative(v_field, expr)[source]
 
        Lie derivative with respect to a vector field.
        
 
        Explanation
        
 
        The transport operator that defines the Lie derivative is the pushforward of
@@ -1662,7 +1662,7 @@ 
        Base Class Referencechristoffel,
        
 
        
 
-)[source]
+)[source]
 
        Covariant derivative operator with respect to a base vector.
        
 
        Examples
        
 
        >>> from sympy.diffgeom.rn import R2_r
@@ -1690,7 +1690,7 @@ 
        Base Class Reference
 
        
-class sympy.diffgeom.CovarDerivativeOp(wrt, christoffel)[source]
        
+class sympy.diffgeom.CovarDerivativeOp(wrt, christoffel)[source]
 
        Covariant derivative operator.
        
 
        Examples
        
 
        >>> from sympy.diffgeom.rn import R2_r
@@ -1727,7 +1727,7 @@ 
        Base Class Referencecoeffs=False,
        
 
        
 
-)[source]
+)[source]
 
        Return the series expansion for an integral curve of the field.
        
 
        
 
        Parameters:
        
@@ -1836,7 +1836,7 @@ 
        Base Class Referencecoord_sys=None,
        
 
        
 
-)[source]
+)[source]
 
        Return the differential equation for an integral curve of the field.
        
 
        
 
        Parameters:
        
@@ -1908,7 +1908,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.vectors_in_basis(expr, to_sys)[source]
        
+sympy.diffgeom.vectors_in_basis(expr, to_sys)[source]
 
        Transform all base vectors in base vectors of a specified coord basis.
 While the new base vectors are in the new coordinate system basis, any
 coefficients are kept in the old system.
        
@@ -1927,7 +1927,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.twoform_to_matrix(expr)[source]
        
+sympy.diffgeom.twoform_to_matrix(expr)[source]
 
        Return the matrix representing the twoform.
        
 
        For the twoform \(w\) return the matrix \(M\) such that \(M[i,j]=w(e_i, e_j)\),
 where \(e_i\) is the i-th base vector field for the coordinate system in
@@ -1956,7 +1956,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.metric_to_Christoffel_1st(expr)[source]
        
+sympy.diffgeom.metric_to_Christoffel_1st(expr)[source]
 
        Return the nested list of Christoffel symbols for the given metric.
 This returns the Christoffel symbol of first kind that represents the
 Levi-Civita connection for the given metric.
        
@@ -1976,7 +1976,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.metric_to_Christoffel_2nd(expr)[source]
        
+sympy.diffgeom.metric_to_Christoffel_2nd(expr)[source]
 
        Return the nested list of Christoffel symbols for the given metric.
 This returns the Christoffel symbol of second kind that represents the
 Levi-Civita connection for the given metric.
        
@@ -1996,7 +1996,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.metric_to_Riemann_components(expr)[source]
        
+sympy.diffgeom.metric_to_Riemann_components(expr)[source]
 
        Return the components of the Riemann tensor expressed in a given basis.
        
 
        Given a metric it calculates the components of the Riemann tensor in the
 canonical basis of the coordinate system in which the metric expression is
@@ -2024,7 +2024,7 @@ 
        Base Class Reference
 
        
-sympy.diffgeom.metric_to_Ricci_components(expr)[source]
        
+sympy.diffgeom.metric_to_Ricci_components(expr)[source]
 
        Return the components of the Ricci tensor expressed in a given basis.
        
 
        Given a metric it calculates the components of the Ricci tensor in the
 canonical basis of the coordinate system in which the metric expression is
diff --git a/dev/modules/discrete.html b/dev/modules/discrete.html
index 28b6a15313f..966ec4fdb44 100644
--- a/dev/modules/discrete.html
+++ b/dev/modules/discrete.html
@@ -821,7 +821,7 @@ 
        Discrete
 
        Fast Fourier Transform
        
 
        
 
        
-sympy.discrete.transforms.fft(seq, dps=None)[source]
        
+sympy.discrete.transforms.fft(seq, dps=None)[source]
 
        Performs the Discrete Fourier Transform (DFT) in the complex domain.
        
 
        The sequence is automatically padded to the right with zeros, as the
 radix-2 FFT requires the number of sample points to be a power of 2.
        
@@ -876,7 +876,7 @@ 
        Fast Fourier Transform
 
        
-sympy.discrete.transforms.ifft(seq, dps=None)[source]
        
+sympy.discrete.transforms.ifft(seq, dps=None)[source]
 
        Performs the Discrete Fourier Transform (DFT) in the complex domain.
        
 
        The sequence is automatically padded to the right with zeros, as the
 radix-2 FFT requires the number of sample points to be a power of 2.
        
@@ -934,7 +934,7 @@ 
        Fast Fourier TransformNumber Theoretic Transform
        
 
        
 
        
-sympy.discrete.transforms.ntt(seq, prime)[source]
        
+sympy.discrete.transforms.ntt(seq, prime)[source]
 
        Performs the Number Theoretic Transform (NTT), which specializes the
 Discrete Fourier Transform (DFT) over quotient ring \(Z/pZ\) for prime
 \(p\) instead of complex numbers \(C\).
        
@@ -984,7 +984,7 @@ 
        Number Theoretic Transform
 
        
-sympy.discrete.transforms.intt(seq, prime)[source]
        
+sympy.discrete.transforms.intt(seq, prime)[source]
 
        Performs the Number Theoretic Transform (NTT), which specializes the
 Discrete Fourier Transform (DFT) over quotient ring \(Z/pZ\) for prime
 \(p\) instead of complex numbers \(C\).
        
@@ -1037,7 +1037,7 @@ 
        Number Theoretic Transform
        
 
        
 
        
-sympy.discrete.transforms.fwht(seq)[source]
        
+sympy.discrete.transforms.fwht(seq)[source]
 
        Performs the Walsh Hadamard Transform (WHT), and uses Hadamard
 ordering for the sequence.
        
 
        The sequence is automatically padded to the right with zeros, as the
@@ -1079,7 +1079,7 @@ 
        Fast Walsh Hadamard Transform
 
        
-sympy.discrete.transforms.ifwht(seq)[source]
        
+sympy.discrete.transforms.ifwht(seq)[source]
 
        Performs the Walsh Hadamard Transform (WHT), and uses Hadamard
 ordering for the sequence.
        
 
        The sequence is automatically padded to the right with zeros, as the
@@ -1124,7 +1124,7 @@ 
        Fast Walsh Hadamard Transform
        
 
        
 
        
-sympy.discrete.transforms.mobius_transform(seq, subset=True)[source]
        
+sympy.discrete.transforms.mobius_transform(seq, subset=True)[source]
 
        Performs the Mobius Transform for subset lattice with indices of
 sequence as bitmasks.
        
 
        The indices of each argument, considered as bit strings, correspond
@@ -1192,7 +1192,7 @@ 
        Möbius Transform
 
        
-sympy.discrete.transforms.inverse_mobius_transform(seq, subset=True)[source]
        
+sympy.discrete.transforms.inverse_mobius_transform(seq, subset=True)[source]
 
        Performs the Mobius Transform for subset lattice with indices of
 sequence as bitmasks.
        
 
        The indices of each argument, considered as bit strings, correspond
@@ -1283,7 +1283,7 @@ 
        Convolutionsubset=None,
        
 
        
 
-)[source]
+)[source]
 
        Performs convolution by determining the type of desired
 convolution using hints.
        
 
        Exactly one of dps, prime, dyadic, subset arguments
@@ -1357,7 +1357,7 @@ 
        Convolution
        
 
        
 
        
-sympy.discrete.convolutions.convolution_fft(a, b, dps=None)[source]
        
+sympy.discrete.convolutions.convolution_fft(a, b, dps=None)[source]
 
        Performs linear convolution using Fast Fourier Transform.
        
 
        
 
        Parameters:
        
@@ -1402,7 +1402,7 @@ 
        Convolution using Fast Fourier Transform
        
 
        
 
        
-sympy.discrete.convolutions.convolution_ntt(a, b, prime)[source]
        
+sympy.discrete.convolutions.convolution_ntt(a, b, prime)[source]
 
        Performs linear convolution using Number Theoretic Transform.
        
 
        
 
        Parameters:
        
@@ -1445,7 +1445,7 @@ 
        Convolution using Number Theoretic Transform
        
 
        
 
        
-sympy.discrete.convolutions.convolution_fwht(a, b)[source]
        
+sympy.discrete.convolutions.convolution_fwht(a, b)[source]
 
        Performs dyadic (bitwise-XOR) convolution using Fast Walsh Hadamard
 Transform.
        
 
        The convolution is automatically padded to the right with zeros, as the
@@ -1496,7 +1496,7 @@ 
        Convolution using Fast Walsh Hadamard Transform
        
 
        
 
        
-sympy.discrete.convolutions.convolution_subset(a, b)[source]
        
+sympy.discrete.convolutions.convolution_subset(a, b)[source]
 
        Performs Subset Convolution of given sequences.
        
 
        The indices of each argument, considered as bit strings, correspond to
 subsets of a finite set.
        
@@ -1543,7 +1543,7 @@ 
        Subset Convolution
        
 
        
 
        
-sympy.discrete.convolutions.covering_product(a, b)[source]
        
+sympy.discrete.convolutions.covering_product(a, b)[source]
 
        Returns the covering product of given sequences.
        
 
        The indices of each argument, considered as bit strings, correspond to
 subsets of a finite set.
        
@@ -1592,7 +1592,7 @@ 
        Covering Product
        
 
        
 
        
-sympy.discrete.convolutions.intersecting_product(a, b)[source]
        
+sympy.discrete.convolutions.intersecting_product(a, b)[source]
 
        Returns the intersecting product of given sequences.
        
 
        The indices of each argument, considered as bit strings, correspond to
 subsets of a finite set.
        
diff --git a/dev/modules/functions/combinatorial.html b/dev/modules/functions/combinatorial.html
index 9db87ebe01a..cd1a561e43e 100644
--- a/dev/modules/functions/combinatorial.html
+++ b/dev/modules/functions/combinatorial.html
@@ -803,7 +803,7 @@ 
        Documentation Version
        
 
        This module implements various combinatorial functions.
        
 
        
 
        
-class sympy.functions.combinatorial.numbers.bell(n, k_sym=None, symbols=None)[source]
        
+class sympy.functions.combinatorial.numbers.bell(n, k_sym=None, symbols=None)[source]
 
        Bell numbers / Bell polynomials
        
 
        The Bell numbers satisfy \(B_0 = 1\) and
        
 
        
@@ -877,7 +877,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.bernoulli(n, x=None)[source]
        
+class sympy.functions.combinatorial.numbers.bernoulli(n, x=None)[source]
 
        Bernoulli numbers / Bernoulli polynomials / Bernoulli function
        
 
        The Bernoulli numbers are a sequence of rational numbers
 defined by \(B_0 = 1\) and the recursive relation (\(n > 0\)):
        
@@ -995,7 +995,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.factorials.binomial(n, k)[source]
        
+class sympy.functions.combinatorial.factorials.binomial(n, k)[source]
 
        Implementation of the binomial coefficient. It can be defined
 in two ways depending on its desired interpretation:
        
 
        
@@ -1104,7 +1104,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.catalan(n)[source]
        
+class sympy.functions.combinatorial.numbers.catalan(n)[source]
 
        Catalan numbers
        
 
        The \(n^{th}\) catalan number is given by:
        
 
        
@@ -1199,7 +1199,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.euler(n, x=None)[source]
        
+class sympy.functions.combinatorial.numbers.euler(n, x=None)[source]
 
        Euler numbers / Euler polynomials / Euler function
        
 
        The Euler numbers are given by:
        
 
        
@@ -1296,7 +1296,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.factorials.factorial(n)[source]
        
+class sympy.functions.combinatorial.factorials.factorial(n)[source]
 
        Implementation of factorial function over nonnegative integers.
 By convention (consistent with the gamma function and the binomial
 coefficients), factorial of a negative integer is complex infinity.
        
@@ -1348,7 +1348,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.factorials.subfactorial(arg)[source]
        
+class sympy.functions.combinatorial.factorials.subfactorial(arg)[source]
 
        The subfactorial counts the derangements of \(n\) items and is
 defined for non-negative integers as:
        
 
        
@@ -1396,7 +1396,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.factorials.factorial2(arg)[source]
        
+class sympy.functions.combinatorial.factorials.factorial2(arg)[source]
 
        The double factorial \(n!!\), not to be confused with \((n!)!\)
        
 
        The double factorial is defined for nonnegative integers and for odd
 negative integers as:
        
@@ -1437,7 +1437,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.factorials.FallingFactorial(x, k)[source]
        
+class sympy.functions.combinatorial.factorials.FallingFactorial(x, k)[source]
 
        Falling factorial (related to rising factorial) is a double valued
 function arising in concrete mathematics, hypergeometric functions
 and series expansions. It is defined by
        
@@ -1507,7 +1507,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.fibonacci(n, sym=None)[source]
        
+class sympy.functions.combinatorial.numbers.fibonacci(n, sym=None)[source]
 
        Fibonacci numbers / Fibonacci polynomials
        
 
        The Fibonacci numbers are the integer sequence defined by the
 initial terms \(F_0 = 0\), \(F_1 = 1\) and the two-term recurrence
@@ -1554,7 +1554,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.tribonacci(n, sym=None)[source]
        
+class sympy.functions.combinatorial.numbers.tribonacci(n, sym=None)[source]
 
        Tribonacci numbers / Tribonacci polynomials
        
 
        The Tribonacci numbers are the integer sequence defined by the
 initial terms \(T_0 = 0\), \(T_1 = 1\), \(T_2 = 1\) and the three-term
@@ -1599,7 +1599,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.harmonic(n, m=None)[source]
        
+class sympy.functions.combinatorial.numbers.harmonic(n, m=None)[source]
 
        Harmonic numbers
        
 
        The nth harmonic number is given by \(\operatorname{H}_{n} =
 1 + \frac{1}{2} + \frac{1}{3} + \ldots + \frac{1}{n}\).
        
@@ -1750,7 +1750,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.lucas(n)[source]
        
+class sympy.functions.combinatorial.numbers.lucas(n)[source]
 
        Lucas numbers
        
 
        Lucas numbers satisfy a recurrence relation similar to that of
 the Fibonacci sequence, in which each term is the sum of the
@@ -1786,7 +1786,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.genocchi(n, x=None)[source]
        
+class sympy.functions.combinatorial.numbers.genocchi(n, x=None)[source]
 
        Genocchi numbers / Genocchi polynomials / Genocchi function
        
 
        The Genocchi numbers are a sequence of integers \(G_n\) that satisfy the
 relation:
        
@@ -1845,7 +1845,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.andre(n)[source]
        
+class sympy.functions.combinatorial.numbers.andre(n)[source]
 
        Andre numbers / Andre function
        
 
        The Andre number \(\mathcal{A}_n\) is Luschny’s name for half the number of
 alternating permutations on \(n\) elements, where a permutation is alternating
@@ -1914,7 +1914,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.partition(n)[source]
        
+class sympy.functions.combinatorial.numbers.partition(n)[source]
 
        Partition numbers
        
 
        The Partition numbers are a sequence of integers \(p_n\) that represent the
 number of distinct ways of representing \(n\) as a sum of natural numbers
@@ -1951,7 +1951,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.divisor_sigma(n, k=1)[source]
        
+class sympy.functions.combinatorial.numbers.divisor_sigma(n, k=1)[source]
 
        Calculate the divisor function \(\sigma_k(n)\) for positive integer n
        
 
        divisor_sigma(n, k) is equal to sum([x**k for x in divisors(n)])
        
 
        If n’s prime factorization is:
        
@@ -1992,7 +1992,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.udivisor_sigma(n, k=1)[source]
        
+class sympy.functions.combinatorial.numbers.udivisor_sigma(n, k=1)[source]
 
        Calculate the unitary divisor function \(\sigma_k^*(n)\) for positive integer n
        
 
        udivisor_sigma(n, k) is equal to sum([x**k for x in udivisors(n)])
        
 
        If n’s prime factorization is:
        
@@ -2043,7 +2043,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.legendre_symbol(a, p)[source]
        
+class sympy.functions.combinatorial.numbers.legendre_symbol(a, p)[source]
 
        Returns the Legendre symbol \((a / p)\).
        
 
        For an integer a and an odd prime p, the Legendre symbol is
 defined as
        
@@ -2071,7 +2071,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.jacobi_symbol(m, n)[source]
        
+class sympy.functions.combinatorial.numbers.jacobi_symbol(m, n)[source]
 
        Returns the Jacobi symbol \((m / n)\).
        
 
        For any integer m and any positive odd integer n the Jacobi symbol
 is defined as the product of the Legendre symbols corresponding to the
@@ -2120,7 +2120,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.kronecker_symbol(a, n)[source]
        
+class sympy.functions.combinatorial.numbers.kronecker_symbol(a, n)[source]
 
        Returns the Kronecker symbol \((a / n)\).
        
 
        Examples
        
 
        >>> from sympy.functions.combinatorial.numbers import kronecker_symbol
@@ -2145,7 +2145,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.functions.combinatorial.numbers.mobius(n)[source]
        
+class sympy.functions.combinatorial.numbers.mobius(n)[source]
 
        Mobius function maps natural number to {-1, 0, 1}
        
 
        
 
        It is defined as follows:
          
@@ -2200,7 +2200,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.numbers.primenu(n)[source]
          
+class sympy.functions.combinatorial.numbers.primenu(n)[source]
 
          Calculate the number of distinct prime factors for a positive integer n.
          
 
          If n’s prime factorization is:
          
 
          
@@ -2239,7 +2239,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.numbers.primeomega(n)[source]
          
+class sympy.functions.combinatorial.numbers.primeomega(n)[source]
 
          Calculate the number of prime factors counting multiplicities for a
 positive integer n.
          
 
          If n’s prime factorization is:
          
@@ -2279,7 +2279,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.numbers.totient(n)[source]
          
+class sympy.functions.combinatorial.numbers.totient(n)[source]
 
          Calculate the Euler totient function phi(n)
          
 
          totient(n) or \(\phi(n)\) is the number of positive integers \(\leq\) n
 that are relatively prime to n.
          
@@ -2316,7 +2316,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.numbers.reduced_totient(n)[source]
          
+class sympy.functions.combinatorial.numbers.reduced_totient(n)[source]
 
          Calculate the Carmichael reduced totient function lambda(n)
          
 
          reduced_totient(n) or \(\lambda(n)\) is the smallest m > 0 such that
 \(k^m \equiv 1 \mod n\) for all k relatively prime to n.
          
@@ -2353,7 +2353,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.numbers.primepi(n)[source]
          
+class sympy.functions.combinatorial.numbers.primepi(n)[source]
 
          Represents the prime counting function pi(n) = the number
 of prime numbers less than or equal to n.
          
 
          Examples
          
@@ -2396,12 +2396,12 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.functions.combinatorial.factorials.MultiFactorial(*args)[source]
          
+class sympy.functions.combinatorial.factorials.MultiFactorial(*args)[source]
 
          
 
 
          
 
          
-class sympy.functions.combinatorial.factorials.RisingFactorial(x, k)[source]
          
+class sympy.functions.combinatorial.factorials.RisingFactorial(x, k)[source]
 
          Rising factorial (also called Pochhammer symbol [R268]) is a double valued
 function arising in concrete mathematics, hypergeometric functions
 and series expansions. It is defined by:
          
@@ -2468,7 +2468,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.functions.combinatorial.numbers.stirling(n, k, d=None, kind=2, signed=False)[source]
          
+sympy.functions.combinatorial.numbers.stirling(n, k, d=None, kind=2, signed=False)[source]
 
          Return Stirling number \(S(n, k)\) of the first or second (default) kind.
          
 
          The sum of all Stirling numbers of the second kind for \(k = 1\)
 through \(n\) is bell(n). The recurrence relationship for these numbers
@@ -2576,7 +2576,7 @@ 
          Enumeration
 
          
-sympy.functions.combinatorial.numbers.nC(n, k=None, replacement=False)[source]
          
+sympy.functions.combinatorial.numbers.nC(n, k=None, replacement=False)[source]
 
          Return the number of combinations of n items taken k at a time.
          
 
          Possible values for n:
          
 
          
@@ -2642,7 +2642,7 @@ 
          Enumeration
 
          
-sympy.functions.combinatorial.numbers.nP(n, k=None, replacement=False)[source]
          
+sympy.functions.combinatorial.numbers.nP(n, k=None, replacement=False)[source]
 
          Return the number of permutations of n items taken k at a time.
          
 
          Possible values for n:
          
 
          
@@ -2700,7 +2700,7 @@ 
          Enumeration
 
          
-sympy.functions.combinatorial.numbers.nT(n, k=None)[source]
          
+sympy.functions.combinatorial.numbers.nT(n, k=None)[source]
 
          Return the number of k-sized partitions of n items.
          
 
          Possible values for n:
          
 
          
diff --git a/dev/modules/functions/elementary.html b/dev/modules/functions/elementary.html
index d818856734a..111379d55f8 100644
--- a/dev/modules/functions/elementary.html
+++ b/dev/modules/functions/elementary.html
@@ -806,7 +806,7 @@ 
          Documentation Version
          
 
          Complex Functions
          
 
          
 
          
-class sympy.functions.elementary.complexes.re(arg)[source]
          
+class sympy.functions.elementary.complexes.re(arg)[source]
 
          Returns real part of expression. This function performs only
 elementary analysis and so it will fail to decompose properly
 more complicated expressions. If completely simplified result
@@ -847,7 +847,7 @@ 
          Complex Functions
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Returns the real number with a zero imaginary part.
          
 
          
 
@@ -855,7 +855,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.im(arg)[source]
          
+class sympy.functions.elementary.complexes.im(arg)[source]
 
          Returns imaginary part of expression. This function performs only
 elementary analysis and so it will fail to decompose properly more
 complicated expressions. If completely simplified result is needed then
@@ -896,7 +896,7 @@ 
          Complex Functions
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Return the imaginary part with a zero real part.
          
 
          
 
@@ -904,7 +904,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.sign(arg)[source]
          
+class sympy.functions.elementary.complexes.sign(arg)[source]
 
          Returns the complex sign of an expression:
          
 
          
 
          Parameters:
          
@@ -962,7 +962,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.Abs(arg)[source]
          
+class sympy.functions.elementary.complexes.Abs(arg)[source]
 
          Return the absolute value of the argument.
          
 
          
 
          Parameters:
          
@@ -1015,7 +1015,7 @@ 
          Complex Functions
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Get the first derivative of the argument to Abs().
          
 
          
 
@@ -1023,7 +1023,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.arg(arg)[source]
          
+class sympy.functions.elementary.complexes.arg(arg)[source]
 
          Returns the argument (in radians) of a complex number. The argument is
 evaluated in consistent convention with atan2 where the branch-cut is
 taken along the negative real axis and arg(z) is in the interval
@@ -1072,7 +1072,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.conjugate(arg)[source]
          
+class sympy.functions.elementary.complexes.conjugate(arg)[source]
 
          Returns the complex conjugate [R276] of an argument.
 In mathematics, the complex conjugate of a complex number
 is given by changing the sign of the imaginary part.
          
@@ -1120,7 +1120,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.polar_lift(arg)[source]
          
+class sympy.functions.elementary.complexes.polar_lift(arg)[source]
 
          Lift argument to the Riemann surface of the logarithm, using the
 standard branch.
          
 
          
@@ -1159,7 +1159,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.periodic_argument(ar, period)[source]
          
+class sympy.functions.elementary.complexes.periodic_argument(ar, period)[source]
 
          Represent the argument on a quotient of the Riemann surface of the
 logarithm. That is, given a period \(P\), always return a value in
 \((-P/2, P/2]\), by using \(\exp(PI) = 1\).
          
@@ -1205,7 +1205,7 @@ 
          Complex Functions
 
          
-class sympy.functions.elementary.complexes.principal_branch(x, period)[source]
          
+class sympy.functions.elementary.complexes.principal_branch(x, period)[source]
 
          Represent a polar number reduced to its principal branch on a quotient
 of the Riemann surface of the logarithm.
          
 
          
@@ -1253,7 +1253,7 @@ 
          Trigonometric
          Trigonometric Functions
          
 
          
 
          
-class sympy.functions.elementary.trigonometric.sin(arg)[source]
          
+class sympy.functions.elementary.trigonometric.sin(arg)[source]
 
          The sine function.
          
 
          Returns the sine of x (measured in radians).
          
 
          Explanation
          
@@ -1305,7 +1305,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.cos(arg)[source]
          
+class sympy.functions.elementary.trigonometric.cos(arg)[source]
 
          The cosine function.
          
 
          Returns the cosine of x (measured in radians).
          
 
          Explanation
          
@@ -1350,7 +1350,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.tan(arg)[source]
          
+class sympy.functions.elementary.trigonometric.tan(arg)[source]
 
          The tangent function.
          
 
          Returns the tangent of x (measured in radians).
          
 
          Explanation
          
@@ -1387,7 +1387,7 @@ 
          Trigonometric
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1395,7 +1395,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.cot(arg)[source]
          
+class sympy.functions.elementary.trigonometric.cot(arg)[source]
 
          The cotangent function.
          
 
          Returns the cotangent of x (measured in radians).
          
 
          Explanation
          
@@ -1432,7 +1432,7 @@ 
          Trigonometric
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1440,7 +1440,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.sec(arg)[source]
          
+class sympy.functions.elementary.trigonometric.sec(arg)[source]
 
          The secant function.
          
 
          Returns the secant of x (measured in radians).
          
 
          Explanation
          
@@ -1477,7 +1477,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.csc(arg)[source]
          
+class sympy.functions.elementary.trigonometric.csc(arg)[source]
 
          The cosecant function.
          
 
          Returns the cosecant of x (measured in radians).
          
 
          Explanation
          
@@ -1514,7 +1514,7 @@ 
          Trigonometric
 
          
-class sympy.functions.elementary.trigonometric.sinc(arg)[source]
          
+class sympy.functions.elementary.trigonometric.sinc(arg)[source]
 
          Represents an unnormalized sinc function:
          
 
          
 
          
@@ -1579,7 +1579,7 @@ 
          Trigonometric
          
 
          
 
          
-class sympy.functions.elementary.trigonometric.asin(arg)[source]
          
+class sympy.functions.elementary.trigonometric.asin(arg)[source]
 
          The inverse sine function.
          
 
          Returns the arcsine of x in radians.
          
 
          Explanation
          
@@ -1620,7 +1620,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1628,7 +1628,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.acos(arg)[source]
          
+class sympy.functions.elementary.trigonometric.acos(arg)[source]
 
          The inverse cosine function.
          
 
          Explanation
          
 
          Returns the arc cosine of x (measured in radians).
          
@@ -1669,7 +1669,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1677,7 +1677,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.atan(arg)[source]
          
+class sympy.functions.elementary.trigonometric.atan(arg)[source]
 
          The inverse tangent function.
          
 
          Returns the arc tangent of x (measured in radians).
          
 
          Explanation
          
@@ -1715,7 +1715,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1723,7 +1723,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.acot(arg)[source]
          
+class sympy.functions.elementary.trigonometric.acot(arg)[source]
 
          The inverse cotangent function.
          
 
          Returns the arc cotangent of x (measured in radians).
          
 
          Explanation
          
@@ -1761,7 +1761,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1769,7 +1769,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.asec(arg)[source]
          
+class sympy.functions.elementary.trigonometric.asec(arg)[source]
 
          The inverse secant function.
          
 
          Returns the arc secant of x (measured in radians).
          
 
          Explanation
          
@@ -1830,7 +1830,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1838,7 +1838,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.acsc(arg)[source]
          
+class sympy.functions.elementary.trigonometric.acsc(arg)[source]
 
          The inverse cosecant function.
          
 
          Returns the arc cosecant of x (measured in radians).
          
 
          Explanation
          
@@ -1880,7 +1880,7 @@ 
          Trigonometric Inverses
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -1888,7 +1888,7 @@ 
          Trigonometric Inverses
 
          
-class sympy.functions.elementary.trigonometric.atan2(y, x)[source]
          
+class sympy.functions.elementary.trigonometric.atan2(y, x)[source]
 
          The function atan2(y, x) computes \(\operatorname{atan}(y/x)\) taking
 two arguments \(y\) and \(x\).  Signs of both \(y\) and \(x\) are considered to
 determine the appropriate quadrant of \(\operatorname{atan}(y/x)\).
@@ -1999,7 +1999,7 @@ 
          Hyperbolic
          
 
          
 
          
-class sympy.functions.elementary.hyperbolic.HyperbolicFunction(*args)[source]
          
+class sympy.functions.elementary.hyperbolic.HyperbolicFunction(*args)[source]
 
          Base class for hyperbolic functions.
          
 
          
 
          See also
          
@@ -2009,7 +2009,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.sinh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.sinh(arg)[source]
 
          sinh(x) is the hyperbolic sine of x.
          
 
          The hyperbolic sine function is \(\frac{e^x - e^{-x}}{2}\).
          
 
          Examples
          
@@ -2025,25 +2025,25 @@ 
          Hyperbolic Functions
 
          
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Returns this function as a complex coordinate.
          
 
          
 
 
          
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of this function.
          
 
          
 
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
 
          
 
          
-static taylor_term(n, x, *previous_terms)[source]
          
+static taylor_term(n, x, *previous_terms)[source]
 
          Returns the next term in the Taylor series expansion.
          
 
          
 
@@ -2051,7 +2051,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.cosh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.cosh(arg)[source]
 
          cosh(x) is the hyperbolic cosine of x.
          
 
          The hyperbolic cosine function is \(\frac{e^x + e^{-x}}{2}\).
          
 
          Examples
          
@@ -2069,7 +2069,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.tanh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.tanh(arg)[source]
 
          tanh(x) is the hyperbolic tangent of x.
          
 
          The hyperbolic tangent function is \(\frac{\sinh(x)}{\cosh(x)}\).
          
 
          Examples
          
@@ -2085,7 +2085,7 @@ 
          Hyperbolic Functions
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2093,7 +2093,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.coth(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.coth(arg)[source]
 
          coth(x) is the hyperbolic cotangent of x.
          
 
          The hyperbolic cotangent function is \(\frac{\cosh(x)}{\sinh(x)}\).
          
 
          Examples
          
@@ -2109,7 +2109,7 @@ 
          Hyperbolic Functions
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2117,7 +2117,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.sech(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.sech(arg)[source]
 
          sech(x) is the hyperbolic secant of x.
          
 
          The hyperbolic secant function is \(\frac{2}{e^x + e^{-x}}\)
          
 
          Examples
          
@@ -2135,7 +2135,7 @@ 
          Hyperbolic Functions
 
          
-class sympy.functions.elementary.hyperbolic.csch(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.csch(arg)[source]
 
          csch(x) is the hyperbolic cosecant of x.
          
 
          The hyperbolic cosecant function is \(\frac{2}{e^x - e^{-x}}\)
          
 
          Examples
          
@@ -2151,13 +2151,13 @@ 
          Hyperbolic Functions
 
          
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of this function
          
 
          
 
 
          
 
          
-static taylor_term(n, x, *previous_terms)[source]
          
+static taylor_term(n, x, *previous_terms)[source]
 
          Returns the next term in the Taylor series expansion
          
 
          
 
@@ -2168,7 +2168,7 @@ 
          Hyperbolic FunctionsHyperbolic Inverses
          
 
          
 
          
-class sympy.functions.elementary.hyperbolic.asinh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.asinh(arg)[source]
 
          asinh(x) is the inverse hyperbolic sine of x.
          
 
          The inverse hyperbolic sine function.
          
 
          Examples
          
@@ -2186,7 +2186,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2194,7 +2194,7 @@ 
          Hyperbolic Inverses
 
          
-class sympy.functions.elementary.hyperbolic.acosh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.acosh(arg)[source]
 
          acosh(x) is the inverse hyperbolic cosine of x.
          
 
          The inverse hyperbolic cosine function.
          
 
          Examples
          
@@ -2212,7 +2212,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2220,7 +2220,7 @@ 
          Hyperbolic Inverses
 
          
-class sympy.functions.elementary.hyperbolic.atanh(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.atanh(arg)[source]
 
          atanh(x) is the inverse hyperbolic tangent of x.
          
 
          The inverse hyperbolic tangent function.
          
 
          Examples
          
@@ -2236,7 +2236,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2244,7 +2244,7 @@ 
          Hyperbolic Inverses
 
          
-class sympy.functions.elementary.hyperbolic.acoth(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.acoth(arg)[source]
 
          acoth(x) is the inverse hyperbolic cotangent of x.
          
 
          The inverse hyperbolic cotangent function.
          
 
          Examples
          
@@ -2260,7 +2260,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2268,7 +2268,7 @@ 
          Hyperbolic Inverses
 
          
-class sympy.functions.elementary.hyperbolic.asech(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.asech(arg)[source]
 
          asech(x) is the inverse hyperbolic secant of x.
          
 
          The inverse hyperbolic secant function.
          
 
          Examples
          
@@ -2309,7 +2309,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2317,7 +2317,7 @@ 
          Hyperbolic Inverses
 
          
-class sympy.functions.elementary.hyperbolic.acsch(arg)[source]
          
+class sympy.functions.elementary.hyperbolic.acsch(arg)[source]
 
          acsch(x) is the inverse hyperbolic cosecant of x.
          
 
          The inverse hyperbolic cosecant function.
          
 
          Examples
          
@@ -2358,7 +2358,7 @@ 
          Hyperbolic Inverses
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2370,7 +2370,7 @@ 
          Hyperbolic Inverses
          
 
          
 
          
-class sympy.functions.elementary.integers.ceiling(arg)[source]
          
+class sympy.functions.elementary.integers.ceiling(arg)[source]
 
          Ceiling is a univariate function which returns the smallest integer
 value not less than its argument. This implementation
 generalizes ceiling to complex numbers by taking the ceiling of the
@@ -2410,7 +2410,7 @@ 
          Integer Functions
 
          
-class sympy.functions.elementary.integers.floor(arg)[source]
          
+class sympy.functions.elementary.integers.floor(arg)[source]
 
          Floor is a univariate function which returns the largest integer
 value not greater than its argument. This implementation
 generalizes floor to complex numbers by taking the floor of the
@@ -2450,13 +2450,13 @@ 
          Integer Functions
 
          
-class sympy.functions.elementary.integers.RoundFunction(arg)[source]
          
+class sympy.functions.elementary.integers.RoundFunction(arg)[source]
 
          Abstract base class for rounding functions.
          
 
          
 
 
          
 
          
-class sympy.functions.elementary.integers.frac(arg)[source]
          
+class sympy.functions.elementary.integers.frac(arg)[source]
 
          Represents the fractional part of x
          
 
          For real numbers it is defined [R328] as
          
 
          
@@ -2513,7 +2513,7 @@ 
          Integer Functions
          
 
          
 
          
-class sympy.functions.elementary.exponential.exp(arg)[source]
          
+class sympy.functions.elementary.exponential.exp(arg)[source]
 
          The exponential function, \(e^x\).
          
 
          
 
          Parameters:
          
@@ -2537,7 +2537,7 @@ 
          Exponential
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Returns this function as a 2-tuple representing a complex number.
          
 
          Examples
          
 
          >>> from sympy import exp, I
@@ -2566,13 +2566,13 @@ 
          Exponential
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of this function.
          
 
          
 
 
          
 
          
-static taylor_term(n, x, *previous_terms)[source]
          
+static taylor_term(n, x, *previous_terms)[source]
 
          Calculates the next term in the Taylor series expansion.
          
 
          
 
@@ -2580,7 +2580,7 @@ 
          Exponential
 
          
-class sympy.functions.elementary.exponential.LambertW(x, k=None)[source]
          
+class sympy.functions.elementary.exponential.LambertW(x, k=None)[source]
 
          The Lambert W function \(W(z)\) is defined as the inverse
 function of \(w \exp(w)\) [R330].
          
 
          Explanation
          
@@ -2613,7 +2613,7 @@ 
          Exponential
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Return the first derivative of this function.
          
 
          
 
@@ -2621,7 +2621,7 @@ 
          Exponential
 
          
-class sympy.functions.elementary.exponential.log(arg, base=None)[source]
          
+class sympy.functions.elementary.exponential.log(arg, base=None)[source]
 
          The natural logarithm function \(\ln(x)\) or \(\log(x)\).
          
 
          Explanation
          
 
          Logarithms are taken with the natural base, \(e\). To get
@@ -2647,7 +2647,7 @@ 
          Exponential
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Returns this function as a complex coordinate.
          
 
          Examples
          
 
          >>> from sympy import I, log
@@ -2666,19 +2666,19 @@ 
          Exponential
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of the function.
          
 
          
 
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns \(e^x\), the inverse function of \(\log(x)\).
          
 
          
 
 
          
 
          
-static taylor_term(n, x, *previous_terms)[source]
          
+static taylor_term(n, x, *previous_terms)[source]
 
          Returns the next term in the Taylor series expansion of \(\log(1+x)\).
          
 
          
 
@@ -2686,7 +2686,7 @@ 
          Exponential
 
          
-class sympy.functions.elementary.exponential.exp_polar(*args)[source]
          
+class sympy.functions.elementary.exponential.exp_polar(*args)[source]
 
          Represent a polar number (see g-function Sphinx documentation).
          
 
          Explanation
          
 
          exp_polar represents the function
@@ -2720,7 +2720,7 @@ 
          Exponential
          
 
          
 
          
-class sympy.functions.elementary.piecewise.ExprCondPair(expr, cond)[source]
          
+class sympy.functions.elementary.piecewise.ExprCondPair(expr, cond)[source]
 
          Represents an expression, condition pair.
          
 
          
 
          
@@ -2738,7 +2738,7 @@ 
          Piecewise
 
          
-class sympy.functions.elementary.piecewise.Piecewise(*_args)[source]
          
+class sympy.functions.elementary.piecewise.Piecewise(*_args)[source]
          
 
          Represents a piecewise function.
          
 
          Usage:
          
 
          
@@ -2800,7 +2800,7 @@ 
          Piecewise
 
          
-_eval_integral(x, _first=True, **kwargs)[source]
          
+_eval_integral(x, _first=True, **kwargs)[source]
 
          Return the indefinite integral of the
 Piecewise such that subsequent substitution of x with a
 value will give the value of the integral (not including
@@ -2825,7 +2825,7 @@ 
          Piecewise
 
          
-as_expr_set_pairs(domain=None)[source]
          
+as_expr_set_pairs(domain=None)[source]
 
          Return tuples for each argument of self that give
 the expression and the interval in which it is valid
 which is contained within the given domain.
@@ -2852,13 +2852,13 @@ 
          Piecewise
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Evaluate this piecewise function.
          
 
          
 
 
          
 
          
-classmethod eval(*_args)[source]
          
+classmethod eval(*_args)[source]
 
          Either return a modified version of the args or, if no
 modifications were made, return None.
          
 
          Modifications that are made here:
          
@@ -2886,7 +2886,7 @@ 
          Piecewise
 
          
-piecewise_integrate(x, **kwargs)[source]
          
+piecewise_integrate(x, **kwargs)[source]
 
          Return the Piecewise with each expression being
 replaced with its antiderivative. To obtain a continuous
 antiderivative, use the integrate() function or method.
          
@@ -2933,7 +2933,7 @@ 
          Piecewisedeep=True,
          
 
          
 
-)[source]
+)[source]
 
          Rewrite Piecewise with mutually exclusive conditions.
          
 
          
 
          Parameters:
          
@@ -2994,7 +2994,7 @@ 
          Piecewise
 
          
-sympy.functions.elementary.piecewise.piecewise_fold(expr, evaluate=True)[source]
          
+sympy.functions.elementary.piecewise.piecewise_fold(expr, evaluate=True)[source]
 
          Takes an expression containing a piecewise function and returns the
 expression in piecewise form. In addition, any ITE conditions are
 rewritten in negation normal form and simplified.
          
@@ -3021,7 +3021,7 @@ 
          Piecewise
          
 
          
 
          
-class sympy.functions.elementary.miscellaneous.IdentityFunction[source]
          
+class sympy.functions.elementary.miscellaneous.IdentityFunction[source]
 
          The identity function
          
 
          Examples
          
 
          >>> from sympy import Id, Symbol
@@ -3034,7 +3034,7 @@ 
          Miscellaneous
 
          
-class sympy.functions.elementary.miscellaneous.Min(*args)[source]
          
+class sympy.functions.elementary.miscellaneous.Min(*args)[source]
 
          Return, if possible, the minimum value of the list.
 It is named Min and not min to avoid conflicts
 with the built-in function min.
          
@@ -3068,7 +3068,7 @@ 
          Miscellaneous
 
          
-class sympy.functions.elementary.miscellaneous.Max(*args)[source]
          
+class sympy.functions.elementary.miscellaneous.Max(*args)[source]
 
          Return, if possible, the maximum value of the list.
          
 
          When number of arguments is equal one, then
 return this argument.
          
@@ -3154,7 +3154,7 @@ 
          Miscellaneous
 
          
-sympy.functions.elementary.miscellaneous.root(arg, n, k=0, evaluate=None)[source]
          
+sympy.functions.elementary.miscellaneous.root(arg, n, k=0, evaluate=None)[source]
 
          Returns the k-th n-th root of arg.
          
 
          
 
          Parameters:
          
@@ -3270,7 +3270,7 @@ 
          Miscellaneous
 
          
-sympy.functions.elementary.miscellaneous.sqrt(arg, evaluate=None)[source]
          
+sympy.functions.elementary.miscellaneous.sqrt(arg, evaluate=None)[source]
 
          Returns the principal square root.
          
 
          
 
          Parameters:
          
@@ -3365,7 +3365,7 @@ 
          Miscellaneous
 
          
-sympy.functions.elementary.miscellaneous.cbrt(arg, evaluate=None)[source]
          
+sympy.functions.elementary.miscellaneous.cbrt(arg, evaluate=None)[source]
 
          Returns the principal cube root.
          
 
          
 
          Parameters:
          
@@ -3428,7 +3428,7 @@ 
          Miscellaneous
 
          
-sympy.functions.elementary.miscellaneous.real_root(arg, n=None, evaluate=None)[source]
          
+sympy.functions.elementary.miscellaneous.real_root(arg, n=None, evaluate=None)[source]
 
          Return the real n’th-root of arg if possible.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/functions/index.html b/dev/modules/functions/index.html
index d28bf2b955d..a450d0d8034 100644
--- a/dev/modules/functions/index.html
+++ b/dev/modules/functions/index.html
@@ -804,7 +804,7 @@ 
          Documentation Version
          
 sympy.core.function.Function.
          
 
          
 
          
-class sympy.core.function.Function(*args)[source]
          
+class sympy.core.function.Function(*args)[source]
 
          Base class for applied mathematical functions.
          
 
          It also serves as a constructor for undefined function classes.
          
 
          See the Writing Custom Functions guide for details on how to subclass
@@ -852,13 +852,13 @@ 
          Documentation Version
          
 to create a custom function.
          
 
          
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of the function.
          
 
          
 
 
          
 
          
-classmethod is_singular(a)[source]
          
+classmethod is_singular(a)[source]
 
          Tests whether the argument is an essential singularity
 or a branch point, or the functions is non-holomorphic.
          
 
          
diff --git a/dev/modules/functions/special.html b/dev/modules/functions/special.html
index 4b5332ead3f..c3affaee7ce 100644
--- a/dev/modules/functions/special.html
+++ b/dev/modules/functions/special.html
@@ -804,7 +804,7 @@ 
          Documentation Version
          
 
          Dirac Delta and Related Discontinuous Functions
          
 
          
 
          
-class sympy.functions.special.delta_functions.DiracDelta(arg, k=0)[source]
          
+class sympy.functions.special.delta_functions.DiracDelta(arg, k=0)[source]
 
          The DiracDelta function and its derivatives.
          
 
          Explanation
          
 
          DiracDelta is not an ordinary function. It can be rigorously defined either
@@ -881,7 +881,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-classmethod eval(arg, k=0)[source]
          
+classmethod eval(arg, k=0)[source]
 
          Returns a simplified form or a value of DiracDelta depending on the
 argument passed by the DiracDelta object.
          
 
          
@@ -944,7 +944,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of a DiracDelta Function.
          
 
          
 
          Parameters:
          
@@ -986,7 +986,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-is_simple(x)[source]
          
+is_simple(x)[source]
 
          Tells whether the argument(args[0]) of DiracDelta is a linear
 expression in x.
          
 
          
@@ -1023,7 +1023,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.delta_functions.Heaviside(arg, H0=1 / 2)[source]
          
+class sympy.functions.special.delta_functions.Heaviside(arg, H0=1 / 2)[source]
 
          Heaviside step function.
          
 
          Explanation
          
 
          The Heaviside step function has the following properties:
          
@@ -1076,7 +1076,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-classmethod eval(arg, H0=1 / 2)[source]
          
+classmethod eval(arg, H0=1 / 2)[source]
 
          Returns a simplified form or a value of Heaviside depending on the
 argument passed by the Heaviside object.
          
 
          
@@ -1132,7 +1132,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of a Heaviside Function.
          
 
          
 
          Parameters:
          
@@ -1171,7 +1171,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.singularity_functions.SingularityFunction(variable, offset, exponent)[source]
          
+class sympy.functions.special.singularity_functions.SingularityFunction(variable, offset, exponent)[source]
 
          Singularity functions are a class of discontinuous functions.
          
 
          Explanation
          
 
          Singularity functions take a variable, an offset, and an exponent as
@@ -1244,7 +1244,7 @@ 
          Dirac Delta and Related Discontinuous Functionsexponent,
          
 
          
 
-)[source]
+)[source]
 
          Returns a simplified form or a value of Singularity Function depending
 on the argument passed by the object.
          
 
          Explanation
          
@@ -1282,7 +1282,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Returns the first derivative of a DiracDelta Function.
          
 
          Explanation
          
 
          The difference between diff() and fdiff() is: diff() is the
@@ -1300,7 +1300,7 @@ 
          Dirac Delta and Related Discontinuous Functions
          Gamma, Beta and Related Functions
          
 
          
 
          
-class sympy.functions.special.gamma_functions.gamma(arg)[source]
          
+class sympy.functions.special.gamma_functions.gamma(arg)[source]
 
          The gamma function
          
 
          
 
          
@@ -1393,7 +1393,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.loggamma(z)[source]
          
+class sympy.functions.special.gamma_functions.loggamma(z)[source]
 
          The loggamma function implements the logarithm of the
 gamma function (i.e., \(\log\Gamma(x)\)).
          
 
          Examples
          
@@ -1521,7 +1521,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.polygamma(n, z)[source]
          
+class sympy.functions.special.gamma_functions.polygamma(n, z)[source]
 
          The function polygamma(n, z) returns log(gamma(z)).diff(n + 1).
          
 
          Explanation
          
 
          It is a meromorphic function on \(\mathbb{C}\) and defined as the \((n+1)\)-th
@@ -1650,7 +1650,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.digamma(z)[source]
          
+class sympy.functions.special.gamma_functions.digamma(z)[source]
 
          The digamma function is the first derivative of the loggamma
 function
          
 
          
@@ -1714,7 +1714,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.trigamma(z)[source]
          
+class sympy.functions.special.gamma_functions.trigamma(z)[source]
 
          The trigamma function is the second derivative of the loggamma
 function
          
 
          
@@ -1777,7 +1777,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.uppergamma(a, z)[source]
          
+class sympy.functions.special.gamma_functions.uppergamma(a, z)[source]
 
          The upper incomplete gamma function.
          
 
          Explanation
          
 
          It can be defined as the meromorphic continuation of
          
@@ -1863,7 +1863,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.lowergamma(a, x)[source]
          
+class sympy.functions.special.gamma_functions.lowergamma(a, x)[source]
 
          The lower incomplete gamma function.
          
 
          Explanation
          
 
          It can be defined as the meromorphic continuation of
          
@@ -1936,7 +1936,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.gamma_functions.multigamma(x, p)[source]
          
+class sympy.functions.special.gamma_functions.multigamma(x, p)[source]
 
          The multivariate gamma function is a generalization of the gamma function
          
 
          
 
          
@@ -1996,7 +1996,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.beta_functions.beta(x, y=None)[source]
          
+class sympy.functions.special.beta_functions.beta(x, y=None)[source]
 
          The beta integral is called the Eulerian integral of the first kind by
 Legendre:
          
 
          
@@ -2104,7 +2104,7 @@ 
          Dirac Delta and Related Discontinuous Functions
          Error Functions and Fresnel Integrals
          
 
          
 
          
-class sympy.functions.special.error_functions.erf(arg)[source]
          
+class sympy.functions.special.error_functions.erf(arg)[source]
 
          The Gauss error function.
          
 
          Explanation
          
 
          This function is defined as:
          
@@ -2195,7 +2195,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2203,7 +2203,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erfc(arg)[source]
          
+class sympy.functions.special.error_functions.erfc(arg)[source]
 
          Complementary Error Function.
          
 
          Explanation
          
 
          The function is defined as:
          
@@ -2294,7 +2294,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2302,7 +2302,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erfi(z)[source]
          
+class sympy.functions.special.error_functions.erfi(z)[source]
 
          Imaginary error function.
          
 
          Explanation
          
 
          The function erfi is defined as:
          
@@ -2390,7 +2390,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erf2(x, y)[source]
          
+class sympy.functions.special.error_functions.erf2(x, y)[source]
 
          Two-argument error function.
          
 
          Explanation
          
 
          This function is defined as:
          
@@ -2465,7 +2465,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erfinv(z)[source]
          
+class sympy.functions.special.error_functions.erfinv(z)[source]
 
          Inverse Error Function. The erfinv function is defined as:
          
 
          
 
          
@@ -2525,7 +2525,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2533,7 +2533,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erfcinv(z)[source]
          
+class sympy.functions.special.error_functions.erfcinv(z)[source]
 
          Inverse Complementary Error Function. The erfcinv function is defined as:
          
 
          
 
          
@@ -2587,7 +2587,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Returns the inverse of this function.
          
 
          
 
@@ -2595,7 +2595,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.erf2inv(x, y)[source]
          
+class sympy.functions.special.error_functions.erf2inv(x, y)[source]
 
          Two-argument Inverse error function. The erf2inv function is defined as:
          
 
          
 
          
@@ -2655,13 +2655,13 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.FresnelIntegral(z)[source]
          
+class sympy.functions.special.error_functions.FresnelIntegral(z)[source]
 
          Base class for the Fresnel integrals.
          
 
          
 
 
          
 
          
-class sympy.functions.special.error_functions.fresnels(z)[source]
          
+class sympy.functions.special.error_functions.fresnels(z)[source]
 
          Fresnel integral S.
          
 
          Explanation
          
 
          This function is defined by
          
@@ -2761,7 +2761,7 @@ 
          Dirac Delta and Related Discontinuous Functions
 
          
-class sympy.functions.special.error_functions.fresnelc(z)[source]
          
+class sympy.functions.special.error_functions.fresnelc(z)[source]
 
          Fresnel integral C.
          
 
          Explanation
          
 
          This function is defined by
          
@@ -2864,7 +2864,7 @@ 
          Dirac Delta and Related Discontinuous Functions
          
 
          
 
          
-class sympy.functions.special.error_functions.Ei(z)[source]
          
+class sympy.functions.special.error_functions.Ei(z)[source]
 
          The classical exponential integral.
          
 
          Explanation
          
 
          For use in SymPy, this function is defined as
          
@@ -2965,7 +2965,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.expint(nu, z)[source]
          
+class sympy.functions.special.error_functions.expint(nu, z)[source]
 
          Generalized exponential integral.
          
 
          Explanation
          
 
          This function is defined as
          
@@ -3081,7 +3081,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-sympy.functions.special.error_functions.E1(z)[source]
          
+sympy.functions.special.error_functions.E1(z)[source]
 
          Classical case of the generalized exponential integral.
          
 
          Explanation
          
 
          This is equivalent to expint(1, z).
          
@@ -3120,7 +3120,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.li(z)[source]
          
+class sympy.functions.special.error_functions.li(z)[source]
 
          The classical logarithmic integral.
          
 
          Explanation
          
 
          For use in SymPy, this function is defined as
          
@@ -3237,7 +3237,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.Li(z)[source]
          
+class sympy.functions.special.error_functions.Li(z)[source]
 
          The offset logarithmic integral.
          
 
          Explanation
          
 
          For use in SymPy, this function is defined as
          
@@ -3317,7 +3317,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.Si(z)[source]
          
+class sympy.functions.special.error_functions.Si(z)[source]
 
          Sine integral.
          
 
          Explanation
          
 
          This function is defined by
          
@@ -3397,7 +3397,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.Ci(z)[source]
          
+class sympy.functions.special.error_functions.Ci(z)[source]
 
          Cosine integral.
          
 
          Explanation
          
 
          This function is defined for positive \(x\) by
          
@@ -3484,7 +3484,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.Shi(z)[source]
          
+class sympy.functions.special.error_functions.Shi(z)[source]
 
          Sinh integral.
          
 
          Explanation
          
 
          This function is defined by
          
@@ -3556,7 +3556,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.error_functions.Chi(z)[source]
          
+class sympy.functions.special.error_functions.Chi(z)[source]
 
          Cosh integral.
          
 
          Explanation
          
 
          This function is defined for positive \(x\) by
          
@@ -3642,7 +3642,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
          Bessel Type Functions
          
 
          
 
          
-class sympy.functions.special.bessel.BesselBase(nu, z)[source]
          
+class sympy.functions.special.bessel.BesselBase(nu, z)[source]
 
          Abstract base class for Bessel-type functions.
          
 
          This class is meant to reduce code duplication.
 All Bessel-type functions can 1) be differentiated, with the derivatives
@@ -3667,7 +3667,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.besselj(nu, z)[source]
          
+class sympy.functions.special.bessel.besselj(nu, z)[source]
 
          Bessel function of the first kind.
          
 
          Explanation
          
 
          The Bessel \(J\) function of order \(\nu\) is defined to be the function
@@ -3742,7 +3742,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.bessely(nu, z)[source]
          
+class sympy.functions.special.bessel.bessely(nu, z)[source]
 
          Bessel function of the second kind.
          
 
          Explanation
          
 
          The Bessel \(Y\) function of order \(\nu\) is defined as
          
@@ -3779,7 +3779,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.besseli(nu, z)[source]
          
+class sympy.functions.special.bessel.besseli(nu, z)[source]
 
          Modified Bessel function of the first kind.
          
 
          Explanation
          
 
          The Bessel \(I\) function is a solution to the modified Bessel equation
          
@@ -3816,7 +3816,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.besselk(nu, z)[source]
          
+class sympy.functions.special.bessel.besselk(nu, z)[source]
 
          Modified Bessel function of the second kind.
          
 
          Explanation
          
 
          The Bessel \(K\) function of order \(\nu\) is defined as
          
@@ -3850,7 +3850,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.hankel1(nu, z)[source]
          
+class sympy.functions.special.bessel.hankel1(nu, z)[source]
 
          Hankel function of the first kind.
          
 
          Explanation
          
 
          This function is defined as
          
@@ -3883,7 +3883,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.hankel2(nu, z)[source]
          
+class sympy.functions.special.bessel.hankel2(nu, z)[source]
 
          Hankel function of the second kind.
          
 
          Explanation
          
 
          This function is defined as
          
@@ -3917,7 +3917,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.jn(nu, z)[source]
          
+class sympy.functions.special.bessel.jn(nu, z)[source]
 
          Spherical Bessel function of the first kind.
          
 
          Explanation
          
 
          This function is a solution to the spherical Bessel equation
          
@@ -3973,7 +3973,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.yn(nu, z)[source]
          
+class sympy.functions.special.bessel.yn(nu, z)[source]
 
          Spherical Bessel function of the second kind.
          
 
          Explanation
          
 
          This function is another solution to the spherical Bessel equation, and
@@ -4019,7 +4019,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-sympy.functions.special.bessel.jn_zeros(n, k, method='sympy', dps=15)[source]
          
+sympy.functions.special.bessel.jn_zeros(n, k, method='sympy', dps=15)[source]
 
          Zeros of the spherical Bessel function of the first kind.
          
 
          
 
          Parameters:
          
@@ -4062,7 +4062,7 @@ 
          Exponential, Logarithmic and Trigonometric Integrals
 
          
-class sympy.functions.special.bessel.marcumq(m, a, b)[source]
          
+class sympy.functions.special.bessel.marcumq(m, a, b)[source]
 
          The Marcum Q-function.
          
 
          Explanation
          
 
          The Marcum Q-function is defined by the meromorphic continuation of
          
@@ -4116,14 +4116,14 @@ 
          Exponential, Logarithmic and Trigonometric IntegralsAiry Functions
          
 
          
 
          
-class sympy.functions.special.bessel.AiryBase(*args)[source]
          
+class sympy.functions.special.bessel.AiryBase(*args)[source]
 
          Abstract base class for Airy functions.
          
 
          This class is meant to reduce code duplication.
          
 
          
 
 
          
 
          
-class sympy.functions.special.bessel.airyai(arg)[source]
          
+class sympy.functions.special.bessel.airyai(arg)[source]
 
          The Airy function \(\operatorname{Ai}\) of the first kind.
          
 
          Explanation
          
 
          The Airy function \(\operatorname{Ai}(z)\) is defined to be the function
@@ -4224,7 +4224,7 @@ 
          Airy Functions
 
          
-class sympy.functions.special.bessel.airybi(arg)[source]
          
+class sympy.functions.special.bessel.airybi(arg)[source]
 
          The Airy function \(\operatorname{Bi}\) of the second kind.
          
 
          Explanation
          
 
          The Airy function \(\operatorname{Bi}(z)\) is defined to be the function
@@ -4327,7 +4327,7 @@ 
          Airy Functions
 
          
-class sympy.functions.special.bessel.airyaiprime(arg)[source]
          
+class sympy.functions.special.bessel.airyaiprime(arg)[source]
 
          The derivative \(\operatorname{Ai}^\prime\) of the Airy function of the first
 kind.
          
 
          Explanation
          
@@ -4421,7 +4421,7 @@ 
          Airy Functions
 
          
-class sympy.functions.special.bessel.airybiprime(arg)[source]
          
+class sympy.functions.special.bessel.airybiprime(arg)[source]
 
          The derivative \(\operatorname{Bi}^\prime\) of the Airy function of the first
 kind.
          
 
          Explanation
          
@@ -4600,7 +4600,7 @@ 
          B-Splines
 
          
-sympy.functions.special.bsplines.bspline_basis_set(d, knots, x)[source]
          
+sympy.functions.special.bsplines.bspline_basis_set(d, knots, x)[source]
 
          Return the len(knots)-d-1 B-splines at x of degree d
 with knots.
          
 
          
@@ -4646,7 +4646,7 @@ 
          B-Splines
 
          
-sympy.functions.special.bsplines.interpolating_spline(d, x, X, Y)[source]
          
+sympy.functions.special.bsplines.interpolating_spline(d, x, X, Y)[source]
 
          Return spline of degree d, passing through the given X
 and Y values.
          
 
          
@@ -4694,7 +4694,7 @@ 
          B-Splines
          Riemann Zeta and Related Functions
          
 
          
 
          
-class sympy.functions.special.zeta_functions.zeta(s, a=None)[source]
          
+class sympy.functions.special.zeta_functions.zeta(s, a=None)[source]
 
          Hurwitz zeta function (or Riemann zeta function).
          
 
          Explanation
          
 
          For \(\operatorname{Re}(a) > 0\) and \(\operatorname{Re}(s) > 1\), this
@@ -4806,7 +4806,7 @@ 
          B-Splines
 
          
-class sympy.functions.special.zeta_functions.dirichlet_eta(s, a=None)[source]
          
+class sympy.functions.special.zeta_functions.dirichlet_eta(s, a=None)[source]
 
          Dirichlet eta function.
          
 
          Explanation
          
 
          For \(\operatorname{Re}(s) > 0\) and \(0 < x \le 1\), this function is defined as
          
@@ -4855,7 +4855,7 @@ 
          B-Splines
 
          
-class sympy.functions.special.zeta_functions.polylog(s, z)[source]
          
+class sympy.functions.special.zeta_functions.polylog(s, z)[source]
 
          Polylogarithm function.
          
 
          Explanation
          
 
          For \(|z| < 1\) and \(s \in \mathbb{C}\), the polylogarithm is
@@ -4922,7 +4922,7 @@ 
          B-Splines
 
          
-class sympy.functions.special.zeta_functions.lerchphi(*args)[source]
          
+class sympy.functions.special.zeta_functions.lerchphi(*args)[source]
 
          Lerch transcendent (Lerch phi function).
          
 
          Explanation
          
 
          For \(\operatorname{Re}(a) > 0\), \(|z| < 1\) and \(s \in \mathbb{C}\), the
@@ -5031,7 +5031,7 @@ 
          B-Splines
 
          
-class sympy.functions.special.zeta_functions.stieltjes(n, a=None)[source]
          
+class sympy.functions.special.zeta_functions.stieltjes(n, a=None)[source]
 
          Represents Stieltjes constants, \(\gamma_{k}\) that occur in
 Laurent Series expansion of the Riemann zeta function.
          
 
          Examples
          
@@ -5072,7 +5072,7 @@ 
          B-Splines
          
 
          
 
          
-class sympy.functions.special.hyper.hyper(ap, bq, z)[source]
          
+class sympy.functions.special.hyper.hyper(ap, bq, z)[source]
 
          The generalized hypergeometric function is defined by a series where
 the ratios of successive terms are a rational function of the summation
 index. When convergent, it is continued analytically to the largest
@@ -5236,7 +5236,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.hyper.meijerg(*args)[source]
          
+class sympy.functions.special.hyper.meijerg(*args)[source]
 
          The Meijer G-function is defined by a Mellin-Barnes type integral that
 resembles an inverse Mellin transform. It generalizes the hypergeometric
 functions.
          
@@ -5407,7 +5407,7 @@ 
          Hypergeometric Functions
 
          
-get_period()[source]
          
+get_period()[source]
 
          Return a number \(P\) such that \(G(x*exp(I*P)) == G(x)\).
          
 
          Examples
          
 
          >>> from sympy import meijerg, pi, S
@@ -5428,7 +5428,7 @@ 
          Hypergeometric Functions
 
          
-integrand(s)[source]
          
+integrand(s)[source]
 
          Get the defining integrand D(s).
          
 
          
 
@@ -5449,7 +5449,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.hyper.appellf1(a, b1, b2, c, x, y)[source]
          
+class sympy.functions.special.hyper.appellf1(a, b1, b2, c, x, y)[source]
 
          This is the Appell hypergeometric function of two variables as:
          
 
          
 
          
@@ -5492,7 +5492,7 @@ 
          Hypergeometric Functions
          Elliptic integrals
          
 
          
 
          
-class sympy.functions.special.elliptic_integrals.elliptic_k(m)[source]
          
+class sympy.functions.special.elliptic_integrals.elliptic_k(m)[source]
 
          The complete elliptic integral of the first kind, defined by
          
 
          
 
          
@@ -5537,7 +5537,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.elliptic_integrals.elliptic_f(z, m)[source]
          
+class sympy.functions.special.elliptic_integrals.elliptic_f(z, m)[source]
 
          The Legendre incomplete elliptic integral of the first
 kind, defined by
          
 
          
@@ -5580,7 +5580,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.elliptic_integrals.elliptic_e(m, z=None)[source]
          
+class sympy.functions.special.elliptic_integrals.elliptic_e(m, z=None)[source]
 
          Called with two arguments \(z\) and \(m\), evaluates the
 incomplete elliptic integral of the second kind, defined by
          
 
          
@@ -5634,7 +5634,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.elliptic_integrals.elliptic_pi(n, m, z=None)[source]
          
+class sympy.functions.special.elliptic_integrals.elliptic_pi(n, m, z=None)[source]
 
          Called with three arguments \(n\), \(z\) and \(m\), evaluates the
 Legendre incomplete elliptic integral of the third kind, defined by
          
 
          
@@ -5689,14 +5689,14 @@ 
          Hypergeometric Functions
          Mathieu Functions
          
 
          
 
          
-class sympy.functions.special.mathieu_functions.MathieuBase(*args)[source]
          
+class sympy.functions.special.mathieu_functions.MathieuBase(*args)[source]
 
          Abstract base class for Mathieu functions.
          
 
          This class is meant to reduce code duplication.
          
 
          
 
 
          
 
          
-class sympy.functions.special.mathieu_functions.mathieus(a, q, z)[source]
          
+class sympy.functions.special.mathieu_functions.mathieus(a, q, z)[source]
 
          The Mathieu Sine function \(S(a,q,z)\).
          
 
          Explanation
          
 
          This function is one solution of the Mathieu differential equation:
          
@@ -5756,7 +5756,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.mathieu_functions.mathieuc(a, q, z)[source]
          
+class sympy.functions.special.mathieu_functions.mathieuc(a, q, z)[source]
 
          The Mathieu Cosine function \(C(a,q,z)\).
          
 
          Explanation
          
 
          This function is one solution of the Mathieu differential equation:
          
@@ -5816,7 +5816,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.mathieu_functions.mathieusprime(a, q, z)[source]
          
+class sympy.functions.special.mathieu_functions.mathieusprime(a, q, z)[source]
 
          The derivative \(S^{\prime}(a,q,z)\) of the Mathieu Sine function.
          
 
          Explanation
          
 
          This function is one solution of the Mathieu differential equation:
          
@@ -5876,7 +5876,7 @@ 
          Hypergeometric Functions
 
          
-class sympy.functions.special.mathieu_functions.mathieucprime(a, q, z)[source]
          
+class sympy.functions.special.mathieu_functions.mathieucprime(a, q, z)[source]
 
          The derivative \(C^{\prime}(a,q,z)\) of the Mathieu Cosine function.
          
 
          Explanation
          
 
          This function is one solution of the Mathieu differential equation:
          
@@ -5944,7 +5944,7 @@ 
          Hypergeometric Functions
          
 
          
 
          
-class sympy.functions.special.polynomials.jacobi(n, a, b, x)[source]
          
+class sympy.functions.special.polynomials.jacobi(n, a, b, x)[source]
 
          Jacobi polynomial \(P_n^{\left(\alpha, \beta\right)}(x)\).
          
 
          Explanation
          
 
          jacobi(n, alpha, beta, x) gives the \(n\)th Jacobi polynomial
@@ -6026,7 +6026,7 @@ 
          Jacobi Polynomials
 
          
-sympy.functions.special.polynomials.jacobi_normalized(n, a, b, x)[source]
          
+sympy.functions.special.polynomials.jacobi_normalized(n, a, b, x)[source]
 
          Jacobi polynomial \(P_n^{\left(\alpha, \beta\right)}(x)\).
          
 
          
 
          Parameters:
          
@@ -6085,7 +6085,7 @@ 
          Jacobi Polynomials
          
 
          
 
          
-class sympy.functions.special.polynomials.gegenbauer(n, a, x)[source]
          
+class sympy.functions.special.polynomials.gegenbauer(n, a, x)[source]
 
          Gegenbauer polynomial \(C_n^{\left(\alpha\right)}(x)\).
          
 
          Explanation
          
 
          gegenbauer(n, alpha, x) gives the \(n\)th Gegenbauer polynomial
@@ -6151,7 +6151,7 @@ 
          Gegenbauer PolynomialsChebyshev Polynomials
          
 
          
 
          
-class sympy.functions.special.polynomials.chebyshevt(n, x)[source]
          
+class sympy.functions.special.polynomials.chebyshevt(n, x)[source]
 
          Chebyshev polynomial of the first kind, \(T_n(x)\).
          
 
          Explanation
          
 
          chebyshevt(n, x) gives the \(n\)th Chebyshev polynomial (of the first
@@ -6218,7 +6218,7 @@ 
          Chebyshev Polynomials
 
          
-class sympy.functions.special.polynomials.chebyshevu(n, x)[source]
          
+class sympy.functions.special.polynomials.chebyshevu(n, x)[source]
 
          Chebyshev polynomial of the second kind, \(U_n(x)\).
          
 
          Explanation
          
 
          chebyshevu(n, x) gives the \(n\)th Chebyshev polynomial of the second
@@ -6285,7 +6285,7 @@ 
          Chebyshev Polynomials
 
          
-class sympy.functions.special.polynomials.chebyshevt_root(n, k)[source]
          
+class sympy.functions.special.polynomials.chebyshevt_root(n, k)[source]
 
          chebyshev_root(n, k) returns the \(k\)th root (indexed from zero) of
 the \(n\)th Chebyshev polynomial of the first kind; that is, if
 \(0 \le k < n\), chebyshevt(n, chebyshevt_root(n, k)) == 0.
          
@@ -6305,7 +6305,7 @@ 
          Chebyshev Polynomials
 
          
-class sympy.functions.special.polynomials.chebyshevu_root(n, k)[source]
          
+class sympy.functions.special.polynomials.chebyshevu_root(n, k)[source]
 
          chebyshevu_root(n, k) returns the \(k\)th root (indexed from zero) of the
 \(n\)th Chebyshev polynomial of the second kind; that is, if \(0 \le k < n\),
 chebyshevu(n, chebyshevu_root(n, k)) == 0.
          
@@ -6328,7 +6328,7 @@ 
          Chebyshev PolynomialsLegendre Polynomials
          
 
          
 
          
-class sympy.functions.special.polynomials.legendre(n, x)[source]
          
+class sympy.functions.special.polynomials.legendre(n, x)[source]
 
          legendre(n, x) gives the \(n\)th Legendre polynomial of \(x\), \(P_n(x)\)
          
 
          Explanation
          
 
          The Legendre polynomials are orthogonal on \([-1, 1]\) with respect to
@@ -6376,7 +6376,7 @@ 
          Legendre Polynomials
 
          
-class sympy.functions.special.polynomials.assoc_legendre(n, m, x)[source]
          
+class sympy.functions.special.polynomials.assoc_legendre(n, m, x)[source]
 
          assoc_legendre(n, m, x) gives \(P_n^m(x)\), where \(n\) and \(m\) are
 the degree and order or an expression which is related to the nth
 order Legendre polynomial, \(P_n(x)\) in the following manner:
          
@@ -6434,7 +6434,7 @@ 
          Legendre PolynomialsHermite Polynomials
          
 
          
 
          
-class sympy.functions.special.polynomials.hermite(n, x)[source]
          
+class sympy.functions.special.polynomials.hermite(n, x)[source]
 
          hermite(n, x) gives the \(n\)th Hermite polynomial in \(x\), \(H_n(x)\).
          
 
          Explanation
          
 
          The Hermite polynomials are orthogonal on \((-\infty, \infty)\)
@@ -6479,7 +6479,7 @@ 
          Hermite Polynomials
 
          
-class sympy.functions.special.polynomials.hermite_prob(n, x)[source]
          
+class sympy.functions.special.polynomials.hermite_prob(n, x)[source]
 
          hermite_prob(n, x) gives the \(n\)th probabilist’s Hermite polynomial
 in \(x\), \(He_n(x)\).
          
 
          Explanation
          
@@ -6531,7 +6531,7 @@ 
          Hermite Polynomials
          
 
          
 
          
-class sympy.functions.special.polynomials.laguerre(n, x)[source]
          
+class sympy.functions.special.polynomials.laguerre(n, x)[source]
 
          Returns the \(n\)th Laguerre polynomial in \(x\), \(L_n(x)\).
          
 
          
 
          Parameters:
          
@@ -6589,7 +6589,7 @@ 
          Laguerre Polynomials
 
          
-class sympy.functions.special.polynomials.assoc_laguerre(n, alpha, x)[source]
          
+class sympy.functions.special.polynomials.assoc_laguerre(n, alpha, x)[source]
 
          Returns the \(n\)th generalized Laguerre polynomial in \(x\), \(L_n(x)\).
          
 
          
 
          Parameters:
          
@@ -6669,7 +6669,7 @@ 
          Laguerre PolynomialsSpherical Harmonics
          
 
          
 
          
-class sympy.functions.special.spherical_harmonics.Ynm(n, m, theta, phi)[source]
          
+class sympy.functions.special.spherical_harmonics.Ynm(n, m, theta, phi)[source]
 
          Spherical harmonics defined as
          
 
          
 
          
@@ -6812,7 +6812,7 @@ 
          Spherical Harmonics
 
          
-sympy.functions.special.spherical_harmonics.Ynm_c(n, m, theta, phi)[source]
          
+sympy.functions.special.spherical_harmonics.Ynm_c(n, m, theta, phi)[source]
 
          Conjugate spherical harmonics defined as
          
 
          
 
          
@@ -6860,7 +6860,7 @@ 
          Spherical Harmonics
 
          
-class sympy.functions.special.spherical_harmonics.Znm(n, m, theta, phi)[source]
          
+class sympy.functions.special.spherical_harmonics.Znm(n, m, theta, phi)[source]
 
          Real spherical harmonics defined as
          
 
          
 
          
@@ -6926,7 +6926,7 @@ 
          Spherical Harmonics
          
 
          
 
          
-sympy.functions.special.tensor_functions.Eijk(*args, **kwargs)[source]
          
+sympy.functions.special.tensor_functions.Eijk(*args, **kwargs)[source]
 
          Represent the Levi-Civita symbol.
          
 
          This is a compatibility wrapper to LeviCivita().
          
 
          
@@ -6937,13 +6937,13 @@ 
          Tensor Functions
 
          
-sympy.functions.special.tensor_functions.eval_levicivita(*args)[source]
          
+sympy.functions.special.tensor_functions.eval_levicivita(*args)[source]
 
          Evaluate Levi-Civita symbol.
          
 
          
 
 
          
 
          
-class sympy.functions.special.tensor_functions.LeviCivita(*args)[source]
          
+class sympy.functions.special.tensor_functions.LeviCivita(*args)[source]
 
          Represent the Levi-Civita symbol.
          
 
          Explanation
          
 
          For even permutations of indices it returns 1, for odd permutations -1, and
@@ -6972,7 +6972,7 @@ 
          Tensor Functions
 
          
-class sympy.functions.special.tensor_functions.KroneckerDelta(i, j, delta_range=None)[source]
          
+class sympy.functions.special.tensor_functions.KroneckerDelta(i, j, delta_range=None)[source]
 
          The discrete, or Kronecker, delta function.
          
 
          
 
          Parameters:
          
@@ -7023,7 +7023,7 @@ 
          Tensor Functions
 
          
-classmethod eval(i, j, delta_range=None)[source]
          
+classmethod eval(i, j, delta_range=None)[source]
 
          Evaluates the discrete delta function.
          
 
          Examples
          
 
          >>> from sympy import KroneckerDelta
diff --git a/dev/modules/geometry/curves.html b/dev/modules/geometry/curves.html
index bfbb939b3bd..5f63795be7f 100644
--- a/dev/modules/geometry/curves.html
+++ b/dev/modules/geometry/curves.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Curves
          
 
          
 
          
-class sympy.geometry.curve.Curve(function, limits)[source]
          
+class sympy.geometry.curve.Curve(function, limits)[source]
 
          A curve in space.
          
 
          A curve is defined by parametric functions for the coordinates, a
 parameter and the lower and upper bounds for the parameter value.
          
@@ -884,7 +884,7 @@ 
          Documentation Version
          
 
 
          
 
          
-arbitrary_point(parameter='t')[source]
          
+arbitrary_point(parameter='t')[source]
 
          A parameterized point on the curve.
          
 
          
 
          Parameters:
          
@@ -1045,7 +1045,7 @@ 
          Documentation Version
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of the curve.
          
 
          
 
          Parameters:
          
@@ -1085,7 +1085,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rotate(angle=0, pt=None)[source]
          
+rotate(angle=0, pt=None)[source]
 
          This function is used to rotate a curve along given point pt at given angle(in radian).
          
 
          
 
          Parameters:
          
@@ -1118,7 +1118,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Override GeometryEntity.scale since Curve is not made up of Points.
          
 
          
 
          Returns:
          
@@ -1139,7 +1139,7 @@ 
          Documentation Version
          
 
 
          
 
          
-translate(x=0, y=0)[source]
          
+translate(x=0, y=0)[source]
 
          Translate the Curve by (x, y).
          
 
          
 
          Returns:
          
diff --git a/dev/modules/geometry/ellipses.html b/dev/modules/geometry/ellipses.html
index 12036a1639e..63e6af857b3 100644
--- a/dev/modules/geometry/ellipses.html
+++ b/dev/modules/geometry/ellipses.html
@@ -812,7 +812,7 @@ 
          Documentation Version
          
 
          **kwargs,
          
 
          
 
-)[source]
+)[source]
 
          An elliptical GeometryEntity.
          
 
          
 
          Parameters:
          
@@ -928,7 +928,7 @@ 
          Documentation Version
          
 
 
          
 
          
-arbitrary_point(parameter='t')[source]
          
+arbitrary_point(parameter='t')[source]
 
          A parameterized point on the ellipse.
          
 
          
 
          Parameters:
          
@@ -981,7 +981,7 @@ 
          Documentation Version
          
 
 
          
 
          
-auxiliary_circle()[source]
          
+auxiliary_circle()[source]
 
          Returns a Circle whose diameter is the major axis of the ellipse.
          
 
          Examples
          
 
          >>> from sympy import Ellipse, Point, symbols
@@ -1041,7 +1041,7 @@ 
          Documentation Version
          
 
 
          
 
          
-director_circle()[source]
          
+director_circle()[source]
 
          Returns a Circle consisting of all points where two perpendicular
 tangent lines to the ellipse cross each other.
          
 
          
@@ -1092,7 +1092,7 @@ 
          Documentation Version
          
 
 
          
 
          
-encloses_point(p)[source]
          
+encloses_point(p)[source]
 
          Return True if p is enclosed by (is inside of) self.
          
 
          
 
          Parameters:
          
@@ -1124,7 +1124,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equation(x='x', y='y', _slope=None)[source]
          
+equation(x='x', y='y', _slope=None)[source]
 
          Returns the equation of an ellipse aligned with the x and y axes;
 when slope is given, the equation returned corresponds to an ellipse
 with a major axis having that slope.
          
@@ -1191,7 +1191,7 @@ 
          Documentation Version
          
 
 
          
 
          
-evolute(x='x', y='y')[source]
          
+evolute(x='x', y='y')[source]
 
          The equation of evolute of the ellipse.
          
 
          
 
          Parameters:
          
@@ -1298,7 +1298,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(o)[source]
          
+intersection(o)[source]
 
          The intersection of this ellipse and another geometrical entity
 \(o\).
          
 
          
@@ -1346,7 +1346,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_tangent(o)[source]
          
+is_tangent(o)[source]
 
          Is \(o\) tangent to the ellipse?
          
 
          
 
          Parameters:
          
@@ -1459,7 +1459,7 @@ 
          Documentation Version
          
 
 
          
 
          
-normal_lines(p, prec=None)[source]
          
+normal_lines(p, prec=None)[source]
 
          Normal lines between \(p\) and the ellipse.
          
 
          
 
          Parameters:
          
@@ -1521,7 +1521,7 @@ 
          Documentation Version
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of the Ellipse.
          
 
          
 
          Parameters:
          
@@ -1548,7 +1548,7 @@ 
          Documentation Version
          
 
 
          
 
          
-polar_second_moment_of_area()[source]
          
+polar_second_moment_of_area()[source]
 
          Returns the polar second moment of area of an Ellipse
          
 
          It is a constituent of the second moment of area, linked through
 the perpendicular axis theorem. While the planar second moment of
@@ -1580,7 +1580,7 @@ 
          Documentation Version
          
 
 
          
 
          
-random_point(seed=None)[source]
          
+random_point(seed=None)[source]
 
          A random point on the ellipse.
          
 
          
 
          Returns:
          
@@ -1625,7 +1625,7 @@ 
          Documentation Version
          
 
 
          
 
          
-reflect(line)[source]
          
+reflect(line)[source]
 
          Override GeometryEntity.reflect since the radius
 is not a GeometryEntity.
          
 
          Examples
          
@@ -1650,7 +1650,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rotate(angle=0, pt=None)[source]
          
+rotate(angle=0, pt=None)[source]
 
          Rotate angle radians counterclockwise about Point pt.
          
 
          Note: since the general ellipse is not supported, only rotations that
 are integer multiples of pi/2 are allowed.
          
@@ -1666,7 +1666,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Override GeometryEntity.scale since it is the major and minor
 axes which must be scaled and they are not GeometryEntities.
          
 
          Examples
          
@@ -1681,7 +1681,7 @@ 
          Documentation Version
          
 
 
          
 
          
-second_moment_of_area(point=None)[source]
          
+second_moment_of_area(point=None)[source]
 
          Returns the second moment and product moment area of an ellipse.
          
 
          
 
          Parameters:
          
@@ -1719,7 +1719,7 @@ 
          Documentation Version
          
 
 
          
 
          
-section_modulus(point=None)[source]
          
+section_modulus(point=None)[source]
 
          Returns a tuple with the section modulus of an ellipse
          
 
          Section modulus is a geometric property of an ellipse defined as the
 ratio of second moment of area to the distance of the extreme end of
@@ -1808,7 +1808,7 @@ 
          Documentation Version
          
 
 
          
 
          
-tangent_lines(p)[source]
          
+tangent_lines(p)[source]
 
          Tangent lines between \(p\) and the ellipse.
          
 
          If \(p\) is on the ellipse, returns the tangent line through point \(p\).
 Otherwise, returns the tangent line(s) from \(p\) to the ellipse, or
@@ -1867,7 +1867,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.ellipse.Circle(*args, **kwargs)[source]
          
+class sympy.geometry.ellipse.Circle(*args, **kwargs)[source]
 
          A circle in space.
          
 
          Constructed simply from a center and a radius, from three
 non-collinear points, or the equation of a circle.
          
@@ -1955,7 +1955,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equation(x='x', y='y')[source]
          
+equation(x='x', y='y')[source]
 
          The equation of the circle.
          
 
          
 
          Parameters:
          
@@ -1983,7 +1983,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(o)[source]
          
+intersection(o)[source]
 
          The intersection of this circle with another geometrical entity.
          
 
          
 
          Parameters:
          
@@ -2034,7 +2034,7 @@ 
          Documentation Version
          
 
 
          
 
          
-reflect(line)[source]
          
+reflect(line)[source]
 
          Override GeometryEntity.reflect since the radius
 is not a GeometryEntity.
          
 
          Examples
          
@@ -2047,7 +2047,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Override GeometryEntity.scale since the radius
 is not a GeometryEntity.
          
 
          Examples
          
diff --git a/dev/modules/geometry/entities.html b/dev/modules/geometry/entities.html
index 7c0f2be76a8..c3365cf344d 100644
--- a/dev/modules/geometry/entities.html
+++ b/dev/modules/geometry/entities.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Entities
          
 
          
 
          
-class sympy.geometry.entity.GeometryEntity(*args, **kwargs)[source]
          
+class sympy.geometry.entity.GeometryEntity(*args, **kwargs)[source]
 
          The base class for all geometrical entities.
          
 
          This class does not represent any particular geometric entity, it only
 provides the implementation of some methods common to all subclasses.
          
@@ -821,7 +821,7 @@ 
          Documentation Version
          
 
 
          
 
          
-encloses(o)[source]
          
+encloses(o)[source]
 
          Return True if o is inside (not on or outside) the boundaries of self.
          
 
          The object will be decomposed into Points and individual Entities need
 only define an encloses_point method for their class.
          
@@ -843,7 +843,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(o)[source]
          
+intersection(o)[source]
 
          Returns a list of all of the intersections of self with o.
          
 
          Notes
          
 
          An entity is not required to implement this method.
          
@@ -858,7 +858,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_similar(other)[source]
          
+is_similar(other)[source]
 
          Is this geometrical entity similar to another geometrical entity?
          
 
          Two entities are similar if a uniform scaling (enlarging or
 shrinking) of one of the entities will allow one to obtain the other.
          
@@ -876,7 +876,7 @@ 
          Documentation Version
          
 
 
          
 
          
-parameter_value(other, t)[source]
          
+parameter_value(other, t)[source]
 
          Return the parameter corresponding to the given point.
 Evaluating an arbitrary point of the entity at this parameter
 value will return the given point.
          
@@ -895,7 +895,7 @@ 
          Documentation Version
          
 
 
          
 
          
-reflect(line)[source]
          
+reflect(line)[source]
 
          Reflects an object across a line.
          
 
          
 
          Parameters:
          
@@ -923,7 +923,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rotate(angle, pt=None)[source]
          
+rotate(angle, pt=None)[source]
 
          Rotate angle radians counterclockwise about Point pt.
          
 
          The default pt is the origin, Point(0, 0)
          
 
          Examples
          
@@ -943,7 +943,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Scale the object by multiplying the x,y-coordinates by x and y.
          
 
          If pt is given, the scaling is done relative to that point; the
 object is shifted by -pt, scaled, and shifted by pt.
          
@@ -966,7 +966,7 @@ 
          Documentation Version
          
 
 
          
 
          
-translate(x=0, y=0)[source]
          
+translate(x=0, y=0)[source]
 
          Shift the object by adding to the x,y-coordinates the values x and y.
          
 
          Examples
          
 
          >>> from sympy import RegularPolygon, Point, Polygon
diff --git a/dev/modules/geometry/lines.html b/dev/modules/geometry/lines.html
index e5512973396..f6fb683acc8 100644
--- a/dev/modules/geometry/lines.html
+++ b/dev/modules/geometry/lines.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Lines
          
 
          
 
          
-class sympy.geometry.line.LinearEntity(p1, p2=None, **kwargs)[source]
          
+class sympy.geometry.line.LinearEntity(p1, p2=None, **kwargs)[source]
 
          A base class for all linear entities (Line, Ray and Segment)
 in n-dimensional Euclidean space.
          
 
          Notes
          
@@ -868,7 +868,7 @@ 
          Documentation Version
          
 
 
          
 
          
-angle_between(l2)[source]
          
+angle_between(l2)[source]
 
          Return the non-reflex angle formed by rays emanating from
 the origin with directions the same as the direction vectors
 of the linear entities.
          
@@ -923,7 +923,7 @@ 
          Documentation Version
          
 
 
          
 
          
-arbitrary_point(parameter='t')[source]
          
+arbitrary_point(parameter='t')[source]
 
          A parameterized point on the Line.
          
 
          
 
          Parameters:
          
@@ -966,7 +966,7 @@ 
          Documentation Version
          
 
 
          
 
          
-static are_concurrent(*lines)[source]
          
+static are_concurrent(*lines)[source]
 
          Is a sequence of linear entities concurrent?
          
 
          Two or more linear entities are concurrent if they all
 intersect at a single point.
          
@@ -1011,7 +1011,7 @@ 
          Documentation Version
          
 
 
          
 
          
-bisectors(other)[source]
          
+bisectors(other)[source]
 
          Returns the perpendicular lines which pass through the intersections
 of self and other that are in the same plane.
          
 
          
@@ -1034,7 +1034,7 @@ 
          Documentation Version
          
 
 
          
 
          
-contains(other)[source]
          
+contains(other)[source]
 
          Subclasses should implement this method and should return
 True if other is on the boundaries of self;
 False if not on the boundaries of self;
@@ -1075,7 +1075,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(other)[source]
          
+intersection(other)[source]
 
          The intersection with another geometrical entity.
          
 
          
 
          Parameters:
          
@@ -1122,7 +1122,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_parallel(l2)[source]
          
+is_parallel(l2)[source]
 
          Are two linear entities parallel?
          
 
          
 
          Parameters:
          
@@ -1165,7 +1165,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_perpendicular(l2)[source]
          
+is_perpendicular(l2)[source]
 
          Are two linear entities perpendicular?
          
 
          
 
          Parameters:
          
@@ -1206,7 +1206,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_similar(other)[source]
          
+is_similar(other)[source]
 
          Return True if self and other are contained in the same line.
          
 
          Examples
          
 
          >>> from sympy import Point, Line
@@ -1271,7 +1271,7 @@ 
          Documentation Version
          
 
 
          
 
          
-parallel_line(p)[source]
          
+parallel_line(p)[source]
 
          Create a new Line parallel to this linear entity which passes
 through the point \(p\).
          
 
          
@@ -1309,7 +1309,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_line(p)[source]
          
+perpendicular_line(p)[source]
 
          Create a new Line perpendicular to this linear entity which passes
 through the point \(p\).
          
 
          
@@ -1345,7 +1345,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_segment(p)[source]
          
+perpendicular_segment(p)[source]
 
          Create a perpendicular line segment from \(p\) to this line.
          
 
          The endpoints of the segment are p and the closest point in
 the line containing self. (If self is not a line, the point might
@@ -1414,7 +1414,7 @@ 
          Documentation Version
          
 
 
          
 
          
-projection(other)[source]
          
+projection(other)[source]
 
          Project a point, line, ray, or segment onto this linear entity.
          
 
          
 
          Parameters:
          
@@ -1469,7 +1469,7 @@ 
          Documentation Version
          
 
 
          
 
          
-random_point(seed=None)[source]
          
+random_point(seed=None)[source]
 
          A random point on a LinearEntity.
          
 
          
 
          Returns:
          
@@ -1499,7 +1499,7 @@ 
          Documentation Version
          
 
 
          
 
          
-smallest_angle_between(l2)[source]
          
+smallest_angle_between(l2)[source]
 
          Return the smallest angle formed at the intersection of the
 lines containing the linear entities.
          
 
          
@@ -1529,7 +1529,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Line(*args, **kwargs)[source]
          
+class sympy.geometry.line.Line(*args, **kwargs)[source]
 
          An infinite line in space.
          
 
          A 2D line is declared with two distinct points, point and slope, or
 an equation. A 3D line may be defined with a point and a direction ratio.
          
@@ -1594,7 +1594,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-contains(other)[source]
          
+contains(other)[source]
 
          Return True if \(other\) is on this Line, or False otherwise.
          
 
          Examples
          
 
          >>> from sympy import Line,Point
@@ -1621,7 +1621,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(other)[source]
          
+distance(other)[source]
 
          Finds the shortest distance between a line and a point.
          
 
          
 
          Raises:
          
@@ -1648,13 +1648,13 @@ 
          Documentation Version
          
 
 
          
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Returns True if self and other are the same mathematical entities
          
 
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of line. Gives
 values that will produce a line that is +/- 5 units long (where a
 unit is the distance between the two points that define the line).
          
@@ -1686,7 +1686,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Ray(p1, p2=None, **kwargs)[source]
          
+class sympy.geometry.line.Ray(p1, p2=None, **kwargs)[source]
 
          A Ray is a semi-line in the space with a source point and a direction.
          
 
          
 
          Parameters:
          
@@ -1740,7 +1740,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-contains(other)[source]
          
+contains(other)[source]
 
          Is other GeometryEntity contained in this Ray?
          
 
          Examples
          
 
          >>> from sympy import Ray,Point,Segment
@@ -1770,7 +1770,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(other)[source]
          
+distance(other)[source]
 
          Finds the shortest distance between the ray and a point.
          
 
          
 
          Raises:
          
@@ -1799,13 +1799,13 @@ 
          Documentation Version
          
 
 
          
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Returns True if self and other are the same mathematical entities
          
 
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of the Ray. Gives
 values that will produce a ray that is 10 units long (where a unit is
 the distance between the two points that define the ray).
          
@@ -1858,7 +1858,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Segment(p1, p2, **kwargs)[source]
          
+class sympy.geometry.line.Segment(p1, p2, **kwargs)[source]
 
          A line segment in space.
          
 
          
 
          Parameters:
          
@@ -1913,7 +1913,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-contains(other)[source]
          
+contains(other)[source]
 
          Is the other GeometryEntity contained within this Segment?
          
 
          Examples
          
 
          >>> from sympy import Point, Segment
@@ -1936,7 +1936,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(other)[source]
          
+distance(other)[source]
 
          Finds the shortest distance between a line segment and a point.
          
 
          
 
          Raises:
          
@@ -1964,7 +1964,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Returns True if self and other are the same mathematical entities
          
 
          
 
@@ -2016,7 +2016,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_bisector(p=None)[source]
          
+perpendicular_bisector(p=None)[source]
 
          The perpendicular bisector of this segment.
          
 
          If no point is specified or the point specified is not on the
 bisector then the bisector is returned as a Line. Otherwise a
@@ -2050,7 +2050,7 @@ 
          Documentation Version
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of the Segment gives
 values that will produce the full segment in a plot.
          
 
          
@@ -2081,7 +2081,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.LinearEntity2D(p1, p2=None, **kwargs)[source]
          
+class sympy.geometry.line.LinearEntity2D(p1, p2=None, **kwargs)[source]
 
          A base class for all linear entities (line, ray and segment)
 in a 2-dimensional Euclidean space.
          
 
          Notes
          
@@ -2121,7 +2121,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_line(p)[source]
          
+perpendicular_line(p)[source]
 
          Create a new Line perpendicular to this linear entity which passes
 through the point \(p\).
          
 
          
@@ -2190,7 +2190,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Line2D(p1, pt=None, slope=None, **kwargs)[source]
          
+class sympy.geometry.line.Line2D(p1, pt=None, slope=None, **kwargs)[source]
 
          An infinite line in space 2D.
          
 
          A line is declared with two distinct points or a point and slope
 as defined using keyword \(slope\).
          
@@ -2256,7 +2256,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equation(x='x', y='y')[source]
          
+equation(x='x', y='y')[source]
 
          The equation of the line: ax + by + c.
          
 
          
 
          Parameters:
          
@@ -2291,7 +2291,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Ray2D(p1, pt=None, angle=None, **kwargs)[source]
          
+class sympy.geometry.line.Ray2D(p1, pt=None, angle=None, **kwargs)[source]
 
          A Ray is a semi-line in the space with a source point and a direction.
          
 
          
 
          Parameters:
          
@@ -2348,7 +2348,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-closing_angle(r2)[source]
          
+closing_angle(r2)[source]
 
          Return the angle by which r2 must be rotated so it faces the same
 direction as r1.
          
 
          
@@ -2428,7 +2428,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Segment2D(p1, p2, **kwargs)[source]
          
+class sympy.geometry.line.Segment2D(p1, p2, **kwargs)[source]
 
          A line segment in 2D space.
          
 
          
 
          Parameters:
          
@@ -2473,7 +2473,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.LinearEntity3D(p1, p2, **kwargs)[source]
          
+class sympy.geometry.line.LinearEntity3D(p1, p2, **kwargs)[source]
 
          An base class for all linear entities (line, ray and segment)
 in a 3-dimensional Euclidean space.
          
 
          Notes
          
@@ -2542,7 +2542,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Line3D(p1, pt=None, direction_ratio=(), **kwargs)[source]
          
+class sympy.geometry.line.Line3D(p1, pt=None, direction_ratio=(), **kwargs)[source]
 
          An infinite 3D line in space.
          
 
          A line is declared with two distinct points or a point and direction_ratio
 as defined using keyword \(direction_ratio\).
          
@@ -2568,7 +2568,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-distance(other)[source]
          
+distance(other)[source]
 
          Finds the shortest distance between a line and another object.
          
 
          
 
          Parameters:
          
@@ -2604,7 +2604,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equation(x='x', y='y', z='z')[source]
          
+equation(x='x', y='y', z='z')[source]
 
          Return the equations that define the line in 3D.
          
 
          
 
          Parameters:
          
@@ -2642,7 +2642,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Ray3D(p1, pt=None, direction_ratio=(), **kwargs)[source]
          
+class sympy.geometry.line.Ray3D(p1, pt=None, direction_ratio=(), **kwargs)[source]
 
          A Ray is a semi-line in the space with a source point and a direction.
          
 
          
 
          Parameters:
          
@@ -2769,7 +2769,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.line.Segment3D(p1, p2, **kwargs)[source]
          
+class sympy.geometry.line.Segment3D(p1, p2, **kwargs)[source]
 
          A line segment in a 3D space.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/geometry/plane.html b/dev/modules/geometry/plane.html
index 4a20a72a6a8..ea3d7be684c 100644
--- a/dev/modules/geometry/plane.html
+++ b/dev/modules/geometry/plane.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Plane
          
 
          
 
          
-class sympy.geometry.plane.Plane(p1, a=None, b=None, **kwargs)[source]
          
+class sympy.geometry.plane.Plane(p1, a=None, b=None, **kwargs)[source]
 
          A plane is a flat, two-dimensional surface. A plane is the two-dimensional
 analogue of a point (zero-dimensions), a line (one-dimension) and a solid
 (three-dimensions). A plane can generally be constructed by two types of
@@ -834,7 +834,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-angle_between(o)[source]
          
+angle_between(o)[source]
 
          Angle between the plane and other geometric entity.
          
 
          
 
          Parameters:
          
@@ -861,7 +861,7 @@ 
          Documentation Version
          
 
 
          
 
          
-arbitrary_point(u=None, v=None)[source]
          
+arbitrary_point(u=None, v=None)[source]
 
          Returns an arbitrary point on the Plane. If given two
 parameters, the point ranges over the entire plane. If given 1
 or no parameters, returns a point with one parameter which,
@@ -894,7 +894,7 @@ 
          Documentation Version
          
 
 
          
 
          
-static are_concurrent(*planes)[source]
          
+static are_concurrent(*planes)[source]
 
          Is a sequence of Planes concurrent?
          
 
          Two or more Planes are concurrent if their intersections
 are a common line.
          
@@ -921,7 +921,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(o)[source]
          
+distance(o)[source]
 
          Distance between the plane and another geometric entity.
          
 
          
 
          Parameters:
          
@@ -951,7 +951,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equals(o)[source]
          
+equals(o)[source]
 
          Returns True if self and o are the same mathematical entities.
          
 
          Examples
          
 
          >>> from sympy import Plane, Point3D
@@ -970,7 +970,7 @@ 
          Documentation Version
          
 
 
          
 
          
-equation(x=None, y=None, z=None)[source]
          
+equation(x=None, y=None, z=None)[source]
 
          The equation of the Plane.
          
 
          Examples
          
 
          >>> from sympy import Point3D, Plane
@@ -986,7 +986,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(o)[source]
          
+intersection(o)[source]
 
          The intersection with other geometrical entity.
          
 
          
 
          Parameters:
          
@@ -1015,7 +1015,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_coplanar(o)[source]
          
+is_coplanar(o)[source]
 
          Returns True if \(o\) is coplanar with self, else False.
          
 
          Examples
          
 
          >>> from sympy import Plane
@@ -1032,7 +1032,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_parallel(l)[source]
          
+is_parallel(l)[source]
 
          Is the given geometric entity parallel to the plane?
          
 
          
 
          Parameters:
          
@@ -1054,7 +1054,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_perpendicular(l)[source]
          
+is_perpendicular(l)[source]
 
          Is the given geometric entity perpendicualar to the given plane?
          
 
          
 
          Parameters:
          
@@ -1110,7 +1110,7 @@ 
          Documentation Version
          
 
 
          
 
          
-parallel_plane(pt)[source]
          
+parallel_plane(pt)[source]
 
          Plane parallel to the given plane and passing through the point pt.
          
 
          
 
          Parameters:
          
@@ -1131,7 +1131,7 @@ 
          Documentation Version
          
 
 
          
 
          
-parameter_value(other, u, v=None)[source]
          
+parameter_value(other, u, v=None)[source]
 
          Return the parameter(s) corresponding to the given point.
          
 
          Examples
          
 
          >>> from sympy import pi, Plane
@@ -1171,7 +1171,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_line(pt)[source]
          
+perpendicular_line(pt)[source]
 
          A line perpendicular to the given plane.
          
 
          
 
          Parameters:
          
@@ -1192,7 +1192,7 @@ 
          Documentation Version
          
 
 
          
 
          
-perpendicular_plane(*pts)[source]
          
+perpendicular_plane(*pts)[source]
 
          Return a perpendicular passing through the given points. If the
 direction ratio between the points is the same as the Plane’s normal
 vector then, to select from the infinite number of possible planes,
@@ -1224,7 +1224,7 @@ 
          Documentation Version
          
 
 
          
 
          
-projection(pt)[source]
          
+projection(pt)[source]
 
          Project the given point onto the plane along the plane normal.
          
 
          
 
          Parameters:
          
@@ -1258,7 +1258,7 @@ 
          Documentation Version
          
 
 
          
 
          
-projection_line(line)[source]
          
+projection_line(line)[source]
 
          Project the given line onto the plane through the normal plane
 containing the line.
          
 
          
@@ -1290,7 +1290,7 @@ 
          Documentation Version
          
 
 
          
 
          
-random_point(seed=None)[source]
          
+random_point(seed=None)[source]
 
          Returns a random point on the Plane.
          
 
          
 
          Returns:
          
diff --git a/dev/modules/geometry/points.html b/dev/modules/geometry/points.html
index 1c5dba89fd3..d661d98bab9 100644
--- a/dev/modules/geometry/points.html
+++ b/dev/modules/geometry/points.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Points
          
 
          
 
          
-class sympy.geometry.point.Point(*args, **kwargs)[source]
          
+class sympy.geometry.point.Point(*args, **kwargs)[source]
 
          A point in a n-dimensional Euclidean space.
          
 
          
 
          Parameters:
          
@@ -880,7 +880,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-static affine_rank(*args)[source]
          
+static affine_rank(*args)[source]
 
          The affine rank of a set of points is the dimension
 of the smallest affine space containing all the points.
 For example, if the points lie on a line (and are not all
@@ -897,7 +897,7 @@ 
          Documentation Version
          
 
 
          
 
          
-classmethod are_coplanar(*points)[source]
          
+classmethod are_coplanar(*points)[source]
 
          Return True if there exists a plane in which all the points
 lie.  A trivial True value is returned if \(len(points) < 3\) or
 all Points are 2-dimensional.
          
@@ -929,7 +929,7 @@ 
          Documentation Version
          
 
 
          
 
          
-canberra_distance(p)[source]
          
+canberra_distance(p)[source]
 
          The Canberra Distance from self to point p.
          
 
          Returns the weighted sum of horizontal and vertical distances to
 point p.
          
@@ -964,7 +964,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(other)[source]
          
+distance(other)[source]
 
          The Euclidean distance between self and another GeometricEntity.
          
 
          
 
          Returns:
          
@@ -1002,19 +1002,19 @@ 
          Documentation Version
          
 
 
          
 
          
-dot(p)[source]
          
+dot(p)[source]
 
          Return dot product of self with another Point.
          
 
          
 
 
          
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Returns whether the coordinates of self and other agree.
          
 
          
 
 
          
 
          
-intersection(other)[source]
          
+intersection(other)[source]
 
          The intersection between this point and another GeometryEntity.
          
 
          
 
          Parameters:
          
@@ -1040,7 +1040,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_collinear(*args)[source]
          
+is_collinear(*args)[source]
 
          Returns \(True\) if there exists a line
 that contains \(self\) and \(points\).  Returns \(False\) otherwise.
 A trivially True value is returned if no points are given.
          
@@ -1071,7 +1071,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_concyclic(*args)[source]
          
+is_concyclic(*args)[source]
 
          Do \(self\) and the given sequence of points lie in a circle?
          
 
          Returns True if the set of points are concyclic and
 False otherwise. A trivial value of True is returned
@@ -1115,7 +1115,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_scalar_multiple(p)[source]
          
+is_scalar_multiple(p)[source]
 
          Returns whether each coordinate of \(self\) is a scalar
 multiple of the corresponding coordinate in point p.
          
 
          
@@ -1142,7 +1142,7 @@ 
          Documentation Version
          
 
 
          
 
          
-midpoint(p)[source]
          
+midpoint(p)[source]
 
          The midpoint between self and point p.
          
 
          
 
          Parameters:
          
@@ -1191,7 +1191,7 @@ 
          Documentation Version
          
 
 
          
 
          
-static project(a, b)[source]
          
+static project(a, b)[source]
 
          Project the point \(a\) onto the line between the origin
 and point \(b\) along the normal direction.
          
 
          
@@ -1223,7 +1223,7 @@ 
          Documentation Version
          
 
 
          
 
          
-taxicab_distance(p)[source]
          
+taxicab_distance(p)[source]
 
          The Taxicab Distance from self to point p.
          
 
          Returns the sum of the horizontal and vertical distances to point p.
          
 
          
@@ -1259,7 +1259,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.point.Point2D(*args, _nocheck=False, **kwargs)[source]
          
+class sympy.geometry.point.Point2D(*args, _nocheck=False, **kwargs)[source]
 
          A point in a 2-dimensional Euclidean space.
          
 
          
 
          Parameters:
          
@@ -1341,7 +1341,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rotate(angle, pt=None)[source]
          
+rotate(angle, pt=None)[source]
 
          Rotate angle radians counterclockwise about Point pt.
          
 
          Examples
          
 
          >>> from sympy import Point2D, pi
@@ -1360,7 +1360,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Scale the coordinates of the Point by multiplying by
 x and y after subtracting pt – default is (0, 0) –
 and then adding pt back again (i.e. pt is the point of
@@ -1382,7 +1382,7 @@ 
          Documentation Version
          
 
 
          
 
          
-transform(matrix)[source]
          
+transform(matrix)[source]
 
          Return the point after applying the transformation described
 by the 3x3 Matrix, matrix.
          
 
          
@@ -1393,7 +1393,7 @@ 
          Documentation Version
          
 
 
          
 
          
-translate(x=0, y=0)[source]
          
+translate(x=0, y=0)[source]
 
          Shift the Point by adding x and y to the coordinates of the Point.
          
 
          Examples
          
 
          >>> from sympy import Point2D
@@ -1442,7 +1442,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.point.Point3D(*args, _nocheck=False, **kwargs)[source]
          
+class sympy.geometry.point.Point3D(*args, _nocheck=False, **kwargs)[source]
 
          A point in a 3-dimensional Euclidean space.
          
 
          
 
          Parameters:
          
@@ -1499,7 +1499,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-static are_collinear(*points)[source]
          
+static are_collinear(*points)[source]
 
          Is a sequence of points collinear?
          
 
          Test whether or not a set of points are collinear. Returns True if
 the set of points are collinear, or False otherwise.
          
@@ -1543,7 +1543,7 @@ 
          Documentation Version
          
 
 
          
 
          
-direction_cosine(point)[source]
          
+direction_cosine(point)[source]
 
          Gives the direction cosine between 2 points
          
 
          
 
          Parameters:
          
@@ -1564,7 +1564,7 @@ 
          Documentation Version
          
 
 
          
 
          
-direction_ratio(point)[source]
          
+direction_ratio(point)[source]
 
          Gives the direction ratio between 2 points
          
 
          
 
          Parameters:
          
@@ -1585,7 +1585,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(other)[source]
          
+intersection(other)[source]
 
          The intersection between this point and another GeometryEntity.
          
 
          
 
          Parameters:
          
@@ -1611,7 +1611,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, z=1, pt=None)[source]
          
+scale(x=1, y=1, z=1, pt=None)[source]
 
          Scale the coordinates of the Point by multiplying by
 x and y after subtracting pt – default is (0, 0) –
 and then adding pt back again (i.e. pt is the point of
@@ -1633,7 +1633,7 @@ 
          Documentation Version
          
 
 
          
 
          
-transform(matrix)[source]
          
+transform(matrix)[source]
 
          Return the point after applying the transformation described
 by the 4x4 Matrix, matrix.
          
 
          
@@ -1644,7 +1644,7 @@ 
          Documentation Version
          
 
 
          
 
          
-translate(x=0, y=0, z=0)[source]
          
+translate(x=0, y=0, z=0)[source]
 
          Shift the Point by adding x and y to the coordinates of the Point.
          
 
          Examples
          
 
          >>> from sympy import Point3D
diff --git a/dev/modules/geometry/polygons.html b/dev/modules/geometry/polygons.html
index ef938fc976e..a4a48bc3975 100644
--- a/dev/modules/geometry/polygons.html
+++ b/dev/modules/geometry/polygons.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Polygons
          
 
          
 
          
-class sympy.geometry.polygon.Polygon(*args, n=0, **kwargs)[source]
          
+class sympy.geometry.polygon.Polygon(*args, n=0, **kwargs)[source]
 
          A two-dimensional polygon.
          
 
          A simple polygon in space. Can be constructed from a sequence of points
 or from a center, radius, number of sides and rotation angle.
          
@@ -933,7 +933,7 @@ 
          Documentation Version
          
 
 
          
 
          
-arbitrary_point(parameter='t')[source]
          
+arbitrary_point(parameter='t')[source]
 
          A parameterized point on the polygon.
          
 
          The parameter, varying from 0 to 1, assigns points to the position on
 the perimeter that is that fraction of the total perimeter. So the
@@ -1011,7 +1011,7 @@ 
          Documentation Version
          
 
 
          
 
          
-bisectors(prec=None)[source]
          
+bisectors(prec=None)[source]
 
          Returns angle bisectors of a polygon. If prec is given
 then approximate the point defining the ray to that precision.
          
 
          The distance between the points defining the bisector ray is 1.
          
@@ -1059,7 +1059,7 @@ 
          Documentation Version
          
 
 
          
 
          
-cut_section(line)[source]
          
+cut_section(line)[source]
 
          Returns a tuple of two polygon segments that lie above and below
 the intersecting line respectively.
          
 
          
@@ -1112,7 +1112,7 @@ 
          Documentation Version
          
 
 
          
 
          
-distance(o)[source]
          
+distance(o)[source]
 
          Returns the shortest distance between self and o.
          
 
          If o is a point, then self does not need to be convex.
 If o is another polygon self and o must be convex.
          
@@ -1128,7 +1128,7 @@ 
          Documentation Version
          
 
 
          
 
          
-encloses_point(p)[source]
          
+encloses_point(p)[source]
 
          Return True if p is enclosed by (is inside of) self.
          
 
          
 
          Parameters:
          
@@ -1166,7 +1166,7 @@ 
          Documentation Version
          
 
 
          
 
          
-first_moment_of_area(point=None)[source]
          
+first_moment_of_area(point=None)[source]
 
          Returns the first moment of area of a two-dimensional polygon with
 respect to a certain point of interest.
          
 
          First moment of area is a measure of the distribution of the area
@@ -1221,7 +1221,7 @@ 
          Documentation Version
          
 
 
          
 
          
-intersection(o)[source]
          
+intersection(o)[source]
 
          The intersection of polygon and geometry entity.
          
 
          The intersection may be empty and can contain individual Points and
 complete Line Segments.
          
@@ -1258,7 +1258,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_convex()[source]
          
+is_convex()[source]
 
          Is the polygon convex?
          
 
          A polygon is convex if all its interior angles are less than 180
 degrees and there are no intersections between sides.
          
@@ -1309,7 +1309,7 @@ 
          Documentation Version
          
 
 
          
 
          
-plot_interval(parameter='t')[source]
          
+plot_interval(parameter='t')[source]
 
          The plot interval for the default geometric plot of the polygon.
          
 
          
 
          Parameters:
          
@@ -1336,7 +1336,7 @@ 
          Documentation Version
          
 
 
          
 
          
-polar_second_moment_of_area()[source]
          
+polar_second_moment_of_area()[source]
 
          Returns the polar modulus of a two-dimensional polygon
          
 
          It is a constituent of the second moment of area, linked through
 the perpendicular axis theorem. While the planar second moment of
@@ -1365,7 +1365,7 @@ 
          Documentation Version
          
 
 
          
 
          
-second_moment_of_area(point=None)[source]
          
+second_moment_of_area(point=None)[source]
 
          Returns the second moment and product moment of area of a two dimensional polygon.
          
 
          
 
          Parameters:
          
@@ -1406,7 +1406,7 @@ 
          Documentation Version
          
 
 
          
 
          
-section_modulus(point=None)[source]
          
+section_modulus(point=None)[source]
 
          Returns a tuple with the section modulus of a two-dimensional
 polygon.
          
 
          Section modulus is a geometric property of a polygon defined as the
@@ -1512,7 +1512,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.polygon.RegularPolygon(c, r, n, rot=0, **kwargs)[source]
          
+class sympy.geometry.polygon.RegularPolygon(c, r, n, rot=0, **kwargs)[source]
 
          A regular polygon.
          
 
          Such a polygon has all internal angles equal and all sides the same length.
          
 
          
@@ -1758,7 +1758,7 @@ 
          Documentation Version
          
 
 
          
 
          
-encloses_point(p)[source]
          
+encloses_point(p)[source]
 
          Return True if p is enclosed by (is inside of) self.
          
 
          
 
          Parameters:
          
@@ -1923,7 +1923,7 @@ 
          Documentation Version
          
 
 
          
 
          
-reflect(line)[source]
          
+reflect(line)[source]
 
          Override GeometryEntity.reflect since this is not made of only
 points.
          
 
          Examples
          
@@ -1938,7 +1938,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rotate(angle, pt=None)[source]
          
+rotate(angle, pt=None)[source]
 
          Override GeometryEntity.rotate to first rotate the RegularPolygon
 about its center.
          
 
          >>> from sympy import Point, RegularPolygon, pi
@@ -1987,7 +1987,7 @@ 
          Documentation Version
          
 
 
          
 
          
-scale(x=1, y=1, pt=None)[source]
          
+scale(x=1, y=1, pt=None)[source]
 
          Override GeometryEntity.scale since it is the radius that must be
 scaled (if x == y) or else a new Polygon must be returned.
          
 
          >>> from sympy import RegularPolygon
@@ -2007,7 +2007,7 @@ 
          Documentation Version
          
 
 
          
 
          
-spin(angle)[source]
          
+spin(angle)[source]
 
          Increment in place the virtual Polygon’s rotation by ccw angle.
          
 
          See also: rotate method which moves the center.
          
 
          >>> from sympy import Polygon, Point, pi
@@ -2058,7 +2058,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.geometry.polygon.Triangle(*args, **kwargs)[source]
          
+class sympy.geometry.polygon.Triangle(*args, **kwargs)[source]
 
          A polygon with three vertices and three sides.
          
 
          
 
          Parameters:
          
@@ -2169,7 +2169,7 @@ 
          Documentation Version
          
 
 
          
 
          
-bisectors()[source]
          
+bisectors()[source]
 
          The angle bisectors of the triangle.
          
 
          An angle bisector of a triangle is a straight line through a vertex
 which cuts the corresponding angle in half.
          
@@ -2441,7 +2441,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_equilateral()[source]
          
+is_equilateral()[source]
 
          Are all the sides the same length?
          
 
          
 
          Returns:
          
@@ -2469,7 +2469,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_isosceles()[source]
          
+is_isosceles()[source]
 
          Are two or more of the sides the same length?
          
 
          
 
          Returns:
          
@@ -2491,7 +2491,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_right()[source]
          
+is_right()[source]
 
          Is the triangle right-angled.
          
 
          
 
          Returns:
          
@@ -2513,7 +2513,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_scalene()[source]
          
+is_scalene()[source]
 
          Are all the sides of the triangle of different lengths?
          
 
          
 
          Returns:
          
@@ -2535,7 +2535,7 @@ 
          Documentation Version
          
 
 
          
 
          
-is_similar(t2)[source]
          
+is_similar(t2)[source]
 
          Is another triangle similar to this one.
          
 
          Two triangles are similar if one can be uniformly scaled to the other.
          
 
          
diff --git a/dev/modules/geometry/utils.html b/dev/modules/geometry/utils.html
index bd77ba0b64a..e58988e2e91 100644
--- a/dev/modules/geometry/utils.html
+++ b/dev/modules/geometry/utils.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Utils
          
 
          
 
          
-sympy.geometry.util.intersection(*entities, pairwise=False, **kwargs)[source]
          
+sympy.geometry.util.intersection(*entities, pairwise=False, **kwargs)[source]
 
          The intersection of a collection of GeometryEntity instances.
          
 
          
 
          Parameters:
          
@@ -859,7 +859,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.geometry.util.convex_hull(*args, polygon=True)[source]
          
+sympy.geometry.util.convex_hull(*args, polygon=True)[source]
 
          The convex hull surrounding the Points contained in the list of entities.
          
 
          
 
          Parameters:
          
@@ -912,7 +912,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.geometry.util.are_similar(e1, e2)[source]
          
+sympy.geometry.util.are_similar(e1, e2)[source]
 
          Are two geometrical entities similar.
          
 
          Can one geometrical entity be uniformly scaled to the other?
          
 
          
@@ -952,7 +952,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.geometry.util.centroid(*args)[source]
          
+sympy.geometry.util.centroid(*args)[source]
 
          Find the centroid (center of mass) of the collection containing only Points,
 Segments or Polygons. The centroid is the weighted average of the individual centroid
 where the weights are the lengths (of segments) or areas (of polygons).
@@ -998,7 +998,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.geometry.util.idiff(eq, y, x, n=1)[source]
          
+sympy.geometry.util.idiff(eq, y, x, n=1)[source]
 
          Return dy/dx assuming that eq == 0.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/holonomic/convert.html b/dev/modules/holonomic/convert.html
index b7d4426e764..8a027f21d95 100644
--- a/dev/modules/holonomic/convert.html
+++ b/dev/modules/holonomic/convert.html
@@ -804,7 +804,7 @@ 
          Converting other representations to holonomic
          
 
          
 
          
-sympy.holonomic.holonomic.from_hyper(func, x0=0, evalf=False)[source]
          
+sympy.holonomic.holonomic.from_hyper(func, x0=0, evalf=False)[source]
 
          Converts a hypergeometric function to holonomic.
 func is the Hypergeometric Function and x0 is the point at
 which initial conditions are required.
          
@@ -833,7 +833,7 @@ 
          Converting Meijer G-functionsdomain=QQ,
          
 
          
 
-)[source]
+)[source]
 
          Converts a Meijer G-function to Holonomic.
 func is the G-Function and x0 is the point at
 which initial conditions are required.
          
@@ -864,7 +864,7 @@ 
          Converting symbolic expressionsinitcond=True,
          
 
          
 
-)[source]
+)[source]
 
          Converts a function or an expression to a holonomic function.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/holonomic/internal.html b/dev/modules/holonomic/internal.html
index 608e1664da2..8f20dd2f510 100644
--- a/dev/modules/holonomic/internal.html
+++ b/dev/modules/holonomic/internal.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Internal API
          
 
          
 
          
-sympy.holonomic.holonomic._create_table(table, domain=QQ)[source]
          
+sympy.holonomic.holonomic._create_table(table, domain=QQ)[source]
 
          Creates the look-up table. For a similar implementation
 see meijerint._create_lookup_table.
          
 
          
@@ -821,7 +821,7 @@ 
          Internal APIinitcond=True,
          
 
          
 
-)[source]
+)[source]
 
          Converts polynomials, rationals and algebraic functions to holonomic.
          
 
          
 
diff --git a/dev/modules/holonomic/operations.html b/dev/modules/holonomic/operations.html
index e2946bc4fea..afc949a0962 100644
--- a/dev/modules/holonomic/operations.html
+++ b/dev/modules/holonomic/operations.html
@@ -841,7 +841,7 @@ 
          Integration and Differentiationinitcond=False,
          
 
          
 
-)[source]
+)[source]
 
          Integrates the given holonomic function.
          
 
          Examples
          
 
          >>> from sympy.holonomic.holonomic import HolonomicFunction, DifferentialOperators
@@ -859,7 +859,7 @@ 
          Integration and Differentiation
 
          
-HolonomicFunction.diff(*args, **kwargs)[source]
          
+HolonomicFunction.diff(*args, **kwargs)[source]
 
          Differentiation of the given Holonomic function.
          
 
          Examples
          
 
          >>> from sympy.holonomic.holonomic import HolonomicFunction, DifferentialOperators
@@ -892,7 +892,7 @@ 
          Composition with polynomials**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns function after composition of a holonomic
 function with an algebraic function. The method cannot compute
 initial conditions for the result by itself, so they can be also be
@@ -920,7 +920,7 @@ 
          Composition with polynomials
          
 
          
 
          
-HolonomicFunction.to_sequence(lb=True)[source]
          
+HolonomicFunction.to_sequence(lb=True)[source]
 
          Finds recurrence relation for the coefficients in the series expansion
 of the function about \(x_0\), where \(x_0\) is the point at
 which the initial condition is stored.
          
@@ -982,7 +982,7 @@ 
          Series expansion_recur=None,
          
 
          
 
-)[source]
+)[source]
 
          Finds the power series expansion of given holonomic function about \(x_0\).
          
 
          Explanation
          
 
          A list of series might be returned if \(x_0\) is a regular point with
@@ -1019,7 +1019,7 @@ 
          Numerical evaluationderivatives=False,
          
 
          
 
-)[source]
+)[source]
 
          Finds numerical value of a holonomic function using numerical methods.
 (RK4 by default). A set of points (real or complex) must be provided
 which will be the path for the numerical integration.
          
@@ -1070,7 +1070,7 @@ 
          Convert to a linear combination of hypergeometric functions_recur=None,
          
 
          
 
-)[source]
+)[source]
 
          Returns a hypergeometric function (or linear combination of them)
 representing the given holonomic function.
          
 
          Explanation
          
@@ -1103,7 +1103,7 @@ 
          Convert to a linear combination of hypergeometric functions
          
 
          
 
          
-HolonomicFunction.to_meijerg()[source]
          
+HolonomicFunction.to_meijerg()[source]
 
          Returns a linear combination of Meijer G-functions.
          
 
          Examples
          
 
          >>> from sympy.holonomic import expr_to_holonomic
@@ -1126,7 +1126,7 @@ 
          Convert to a linear combination of Meijer G-functionsConvert to expressions
          
 
          
 
          
-HolonomicFunction.to_expr()[source]
          
+HolonomicFunction.to_expr()[source]
 
          Converts a Holonomic Function back to elementary functions.
          
 
          Examples
          
 
          >>> from sympy.holonomic.holonomic import HolonomicFunction, DifferentialOperators
diff --git a/dev/modules/holonomic/represent.html b/dev/modules/holonomic/represent.html
index a96d1f13e8e..4806c9208d9 100644
--- a/dev/modules/holonomic/represent.html
+++ b/dev/modules/holonomic/represent.html
@@ -833,7 +833,7 @@ 
          Representation of holonomic functions in SymPy
 
          
-class sympy.holonomic.holonomic.HolonomicFunction(annihilator, x, x0=0, y0=None)[source]
          
+class sympy.holonomic.holonomic.HolonomicFunction(annihilator, x, x0=0, y0=None)[source]
 
          A Holonomic Function is a solution to a linear homogeneous ordinary
 differential equation with polynomial coefficients. This differential
 equation can also be represented by an annihilator i.e. a Differential
@@ -898,7 +898,7 @@ 
          Representation of holonomic functions in SymPy
 
          
-class sympy.holonomic.holonomic.DifferentialOperator(list_of_poly, parent)[source]
          
+class sympy.holonomic.holonomic.DifferentialOperator(list_of_poly, parent)[source]
 
          Differential Operators are elements of Weyl Algebra. The Operators
 are defined by a list of polynomials in the base ring and the
 parent ring of the Operator i.e. the algebra it belongs to.
          
@@ -929,7 +929,7 @@ 
          Representation of holonomic functions in SymPy
 
          
-is_singular(x0)[source]
          
+is_singular(x0)[source]
 
          Checks if the differential equation is singular at x0.
          
 
          
 
@@ -937,7 +937,7 @@ 
          Representation of holonomic functions in SymPy
 
          
-sympy.holonomic.holonomic.DifferentialOperators(base, generator)[source]
          
+sympy.holonomic.holonomic.DifferentialOperators(base, generator)[source]
 
          This function is used to create annihilators using Dx.
          
 
          
 
          Parameters:
          
@@ -972,7 +972,7 @@ 
          Representation of holonomic functions in SymPy
 
          
-class sympy.holonomic.holonomic.DifferentialOperatorAlgebra(base, generator)[source]
          
+class sympy.holonomic.holonomic.DifferentialOperatorAlgebra(base, generator)[source]
 
          An Ore Algebra is a set of noncommutative polynomials in the
 intermediate Dx and coefficients in a base polynomial ring \(A\).
 It follows the commutation rule:
          
diff --git a/dev/modules/integrals/g-functions.html b/dev/modules/integrals/g-functions.html
index 22afbfa936d..f29ddcc04e3 100644
--- a/dev/modules/integrals/g-functions.html
+++ b/dev/modules/integrals/g-functions.html
@@ -1811,19 +1811,19 @@ 
          Implemented G-Function Formulae
 
          
-exception sympy.integrals.meijerint._CoeffExpValueError[source]
          
+exception sympy.integrals.meijerint._CoeffExpValueError[source]
 
          Exception raised by _get_coeff_exp, for internal use only.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._check_antecedents(g1, g2, x)[source]
          
+sympy.integrals.meijerint._check_antecedents(g1, g2, x)[source]
 
          Return a condition under which the integral theorem applies.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._check_antecedents_1(g, x, helper=False)[source]
          
+sympy.integrals.meijerint._check_antecedents_1(g, x, helper=False)[source]
 
          Return a condition under which the mellin transform of g exists.
 Any power of x has already been absorbed into the G function,
 so this is just \(\int_0^\infty g\, dx\).
          
@@ -1834,13 +1834,13 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._check_antecedents_inversion(g, x)[source]
          
+sympy.integrals.meijerint._check_antecedents_inversion(g, x)[source]
 
          Check antecedents for the laplace inversion integral.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._condsimp(cond, first=True)[source]
          
+sympy.integrals.meijerint._condsimp(cond, first=True)[source]
 
          Do naive simplifications on cond.
          
 
          Explanation
          
 
          Note that this routine is completely ad-hoc, simplification rules being
@@ -1857,13 +1857,13 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._create_lookup_table(table)[source]
          
+sympy.integrals.meijerint._create_lookup_table(table)[source]
 
          Add formulae for the function -> meijerg lookup table.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._dummy(name, token, expr, **kwargs)[source]
          
+sympy.integrals.meijerint._dummy(name, token, expr, **kwargs)[source]
 
          Return a dummy. This will return the same dummy if the same token+name is
 requested more than once, and it is not already in expr.
 This is for being cache-friendly.
          
@@ -1871,20 +1871,20 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._dummy_(name, token, **kwargs)[source]
          
+sympy.integrals.meijerint._dummy_(name, token, **kwargs)[source]
 
          Return a dummy associated to name and token. Same effect as declaring
 it globally.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._eval_cond(cond)[source]
          
+sympy.integrals.meijerint._eval_cond(cond)[source]
 
          Re-evaluate the conditions.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._exponents(expr, x)[source]
          
+sympy.integrals.meijerint._exponents(expr, x)[source]
 
          Find the exponents of x (not including zero) in expr.
          
 
          Examples
          
 
          >>> from sympy.integrals.meijerint import _exponents
@@ -1904,7 +1904,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._find_splitting_points(expr, x)[source]
          
+sympy.integrals.meijerint._find_splitting_points(expr, x)[source]
 
          Find numbers a such that a linear substitution x -> x + a would
 (hopefully) simplify expr.
          
 
          Examples
          
@@ -1923,20 +1923,20 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._flip_g(g)[source]
          
+sympy.integrals.meijerint._flip_g(g)[source]
 
          Turn the G function into one of inverse argument
 (i.e. G(1/x) -> G’(x))
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._functions(expr, x)[source]
          
+sympy.integrals.meijerint._functions(expr, x)[source]
 
          Find the types of functions in expr, to estimate the complexity.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._get_coeff_exp(expr, x)[source]
          
+sympy.integrals.meijerint._get_coeff_exp(expr, x)[source]
 
          When expr is known to be of the form c*x**b, with c and/or b possibly 1,
 return c, b.
          
 
          Examples
          
@@ -1956,13 +1956,13 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._guess_expansion(f, x)[source]
          
+sympy.integrals.meijerint._guess_expansion(f, x)[source]
 
          Try to guess sensible rewritings for integrand f(x).
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._inflate_fox_h(g, a)[source]
          
+sympy.integrals.meijerint._inflate_fox_h(g, a)[source]
 
          Let d denote the integrand in the definition of the G function g.
 Consider the function H which is defined in the same way, but with
 integrand d/Gamma(a*s) (contour conventions as usual).
          
@@ -1973,14 +1973,14 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._inflate_g(g, n)[source]
          
+sympy.integrals.meijerint._inflate_g(g, n)[source]
 
          Return C, h such that h is a G function of argument z**n and
 g = C*h.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._int0oo(g1, g2, x)[source]
          
+sympy.integrals.meijerint._int0oo(g1, g2, x)[source]
 
          Express integral from zero to infinity g1*g2 using a G function,
 assuming the necessary conditions are fulfilled.
          
 
          Examples
          
@@ -1997,7 +1997,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._int0oo_1(g, x)[source]
          
+sympy.integrals.meijerint._int0oo_1(g, x)[source]
 
          Evaluate \(\int_0^\infty g\, dx\) using G functions,
 assuming the necessary conditions are fulfilled.
          
 
          Examples
          
@@ -2012,20 +2012,20 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._int_inversion(g, x, t)[source]
          
+sympy.integrals.meijerint._int_inversion(g, x, t)[source]
 
          Compute the laplace inversion integral, assuming the formula applies.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._is_analytic(f, x)[source]
          
+sympy.integrals.meijerint._is_analytic(f, x)[source]
 
          Check if f(x), when expressed using G functions on the positive reals,
 will in fact agree with the G functions almost everywhere
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._meijerint_definite_2(f, x)[source]
          
+sympy.integrals.meijerint._meijerint_definite_2(f, x)[source]
 
          Try to integrate f dx from zero to infinity.
          
 
          The body of this function computes various ‘simplifications’
 f1, f2, … of f (e.g. by calling expand_mul(), trigexpand()
@@ -2037,7 +2037,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._meijerint_definite_3(f, x)[source]
          
+sympy.integrals.meijerint._meijerint_definite_3(f, x)[source]
 
          Try to integrate f dx from zero to infinity.
          
 
          This function calls _meijerint_definite_4 to try to compute the
 integral. If this fails, it tries using linearity.
          
@@ -2045,7 +2045,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._meijerint_definite_4(f, x, only_double=False)[source]
          
+sympy.integrals.meijerint._meijerint_definite_4(f, x, only_double=False)[source]
 
          Try to integrate f dx from zero to infinity.
          
 
          Explanation
          
 
          This function tries to apply the integration theorems found in literature,
@@ -2056,13 +2056,13 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._meijerint_indefinite_1(f, x)[source]
          
+sympy.integrals.meijerint._meijerint_indefinite_1(f, x)[source]
 
          Helper that does not attempt any substitution.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._mul_args(f)[source]
          
+sympy.integrals.meijerint._mul_args(f)[source]
 
          Return a list L such that Mul(*L) == f.
          
 
          If f is not a Mul or Pow, L=[f].
 If f=g**n for an integer n, L=[g]*n.
@@ -2071,7 +2071,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._mul_as_two_parts(f)[source]
          
+sympy.integrals.meijerint._mul_as_two_parts(f)[source]
 
          Find all the ways to split f into a product of two terms.
 Return None on failure.
          
 
          Explanation
          
@@ -2091,7 +2091,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._my_principal_branch(expr, period, full_pb=False)[source]
          
+sympy.integrals.meijerint._my_principal_branch(expr, period, full_pb=False)[source]
 
          Bring expr nearer to its principal branch by removing superfluous
 factors.
 This function does not guarantee to yield the principal branch,
@@ -2108,13 +2108,13 @@ 
          Implemented G-Function Formulaex: Symbol,
          
 
          
 
-) → tuple[type[Basic], ...][source]
+) → tuple[type[Basic], ...][source]
 
          Create a hashable entity describing the type of f.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._rewrite1(f, x, recursive=True)[source]
          
+sympy.integrals.meijerint._rewrite1(f, x, recursive=True)[source]
 
          Try to rewrite f using a (sum of) single G functions with argument a*x**b.
 Return fac, po, g such that f = fac*po*g, fac is independent of x.
 and po = x**s.
@@ -2124,7 +2124,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._rewrite2(f, x)[source]
          
+sympy.integrals.meijerint._rewrite2(f, x)[source]
 
          Try to rewrite f as a product of two G functions of arguments a*x**b.
 Return fac, po, g1, g2 such that f = fac*po*g1*g2, where fac is
 independent of x and po is x**s.
@@ -2134,13 +2134,13 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._rewrite_inversion(fac, po, g, x)[source]
          
+sympy.integrals.meijerint._rewrite_inversion(fac, po, g, x)[source]
 
          Absorb po == x**s into g.
          
 
          
 
 
          
 
          
-sympy.integrals.meijerint._rewrite_saxena(fac, po, g1, g2, x, full_pb=False)[source]
          
+sympy.integrals.meijerint._rewrite_saxena(fac, po, g1, g2, x, full_pb=False)[source]
 
          Rewrite the integral fac*po*g1*g2 from 0 to oo in terms of G
 functions with argument c*x.
          
 
          Explanation
          
@@ -2165,7 +2165,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._rewrite_saxena_1(fac, po, g, x)[source]
          
+sympy.integrals.meijerint._rewrite_saxena_1(fac, po, g, x)[source]
 
          Rewrite the integral fac*po*g dx, from zero to infinity, as
 integral fac*G, where G has argument a*x. Note po=x**s.
 Return fac, G.
          
@@ -2173,7 +2173,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._rewrite_single(f, x, recursive=True)[source]
          
+sympy.integrals.meijerint._rewrite_single(f, x, recursive=True)[source]
 
          Try to rewrite f as a sum of single G functions of the form
 C*x**s*G(a*x**b), where b is a rational number and C is independent of x.
 We guarantee that result.argument.as_coeff_mul(x) returns (a, (x**b,))
@@ -2184,7 +2184,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint._split_mul(f, x)[source]
          
+sympy.integrals.meijerint._split_mul(f, x)[source]
 
          Split expression f into fac, po, g, where fac is a constant factor,
 po = x**s for some s independent of s, and g is “the rest”.
          
 
          Examples
          
@@ -2199,7 +2199,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint.meijerint_definite(f, x, a, b)[source]
          
+sympy.integrals.meijerint.meijerint_definite(f, x, a, b)[source]
 
          Integrate f over the interval [a, b], by rewriting it as a product
 of two G functions, or as a single G function.
          
 
          Return res, cond, where cond are convergence conditions.
          
@@ -2220,7 +2220,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint.meijerint_indefinite(f, x)[source]
          
+sympy.integrals.meijerint.meijerint_indefinite(f, x)[source]
 
          Compute an indefinite integral of f by rewriting it as a G function.
          
 
          Examples
          
 
          >>> from sympy.integrals.meijerint import meijerint_indefinite
@@ -2234,7 +2234,7 @@ 
          Implemented G-Function Formulae
 
          
-sympy.integrals.meijerint.meijerint_inversion(f, x, t)[source]
          
+sympy.integrals.meijerint.meijerint_inversion(f, x, t)[source]
 
          Compute the inverse laplace transform
 \(\int_{c+i\infty}^{c-i\infty} f(x) e^{tx}\, dx\),
 for real c larger than the real part of all singularities of f.
          
diff --git a/dev/modules/integrals/integrals.html b/dev/modules/integrals/integrals.html
index 6a61e3104ff..b3fc81cdfeb 100644
--- a/dev/modules/integrals/integrals.html
+++ b/dev/modules/integrals/integrals.html
@@ -850,7 +850,7 @@ 
          Examples
 
          SymPy has special support for definite integrals, and integral transforms.
          
 
          
 
          
-sympy.integrals.transforms.mellin_transform(f, x, s, **hints)[source]
          
+sympy.integrals.transforms.mellin_transform(f, x, s, **hints)[source]
 
          Compute the Mellin transform \(F(s)\) of \(f(x)\),
          
 
          
 
          
@@ -887,7 +887,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.MellinTransform(*args)[source]
          
+class sympy.integrals.transforms.MellinTransform(*args)[source]
 
          Class representing unevaluated Mellin transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute Mellin transforms, see the mellin_transform()
@@ -896,7 +896,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.inverse_mellin_transform(F, s, x, strip, **hints)[source]
          
+sympy.integrals.transforms.inverse_mellin_transform(F, s, x, strip, **hints)[source]
 
          Compute the inverse Mellin transform of \(F(s)\) over the fundamental
 strip given by strip=(a, b).
          
 
          Explanation
          
@@ -942,7 +942,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseMellinTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseMellinTransform(*args)[source]
 
          Class representing unevaluated inverse Mellin transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse Mellin transforms, see the
@@ -961,7 +961,7 @@ 
          Examples
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Compute the Laplace Transform \(F(s)\) of \(f(t)\),
          
 
          
 
          
@@ -1060,7 +1060,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.laplace_correspondence(f, fdict, /)[source]
          
+sympy.integrals.transforms.laplace_correspondence(f, fdict, /)[source]
 
          This helper function takes a function \(f\) that is the result of a
 laplace_transform or an inverse_laplace_transform.  It replaces all
 unevaluated LaplaceTransform(y(t), t, s) by \(Y(s)\) for any \(s\) and
@@ -1101,7 +1101,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.laplace_initial_conds(f, t, fdict, /)[source]
          
+sympy.integrals.transforms.laplace_initial_conds(f, t, fdict, /)[source]
 
          This helper function takes a function \(f\) that is the result of a
 laplace_transform.  It takes an fdict of the form {y: [1, 4, 2]},
 where the values in the list are the initial value, the initial slope, the
@@ -1142,7 +1142,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.LaplaceTransform(*args)[source]
          
+class sympy.integrals.transforms.LaplaceTransform(*args)[source]
 
          Class representing unevaluated Laplace transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute Laplace transforms, see the laplace_transform()
@@ -1152,7 +1152,7 @@ 
          Examples
 tuple containing the same expression, a convergence plane, and conditions.
          
 
          
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Try to evaluate the transform in closed form.
          
 
          Explanation
          
 
          Standard hints are the following:
@@ -1176,7 +1176,7 @@ 
          Examples
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Compute the inverse Laplace transform of \(F(s)\), defined as
          
 
          
 
          
@@ -1213,14 +1213,14 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseLaplaceTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseLaplaceTransform(*args)[source]
 
          Class representing unevaluated inverse Laplace transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse Laplace transforms, see the
 inverse_laplace_transform() docstring.
          
 
          
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Try to evaluate the transform in closed form.
          
 
          Explanation
          
 
          Standard hints are the following:
@@ -1234,7 +1234,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.fourier_transform(f, x, k, **hints)[source]
          
+sympy.integrals.transforms.fourier_transform(f, x, k, **hints)[source]
 
          Compute the unitary, ordinary-frequency Fourier transform of f, defined
 as
          
 
          
@@ -1278,7 +1278,7 @@ 
          Examples
 
          simplify=True,
          
 
          
 
-)[source]
+)[source]
 
          Compute a general Fourier-type transform
          
 
          
 
          
@@ -1290,7 +1290,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.FourierTransform(*args)[source]
          
+class sympy.integrals.transforms.FourierTransform(*args)[source]
 
          Class representing unevaluated Fourier transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute Fourier transforms, see the fourier_transform()
@@ -1299,7 +1299,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.inverse_fourier_transform(F, k, x, **hints)[source]
          
+sympy.integrals.transforms.inverse_fourier_transform(F, k, x, **hints)[source]
 
          Compute the unitary, ordinary-frequency inverse Fourier transform of \(F\),
 defined as
          
 
          
@@ -1331,7 +1331,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseFourierTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseFourierTransform(*args)[source]
 
          Class representing unevaluated inverse Fourier transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse Fourier transforms, see the
@@ -1340,7 +1340,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.sine_transform(f, x, k, **hints)[source]
          
+sympy.integrals.transforms.sine_transform(f, x, k, **hints)[source]
 
          Compute the unitary, ordinary-frequency sine transform of \(f\), defined
 as
          
 
          
@@ -1370,7 +1370,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.SineTransform(*args)[source]
          
+class sympy.integrals.transforms.SineTransform(*args)[source]
 
          Class representing unevaluated sine transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute sine transforms, see the sine_transform()
@@ -1379,7 +1379,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.inverse_sine_transform(F, k, x, **hints)[source]
          
+sympy.integrals.transforms.inverse_sine_transform(F, k, x, **hints)[source]
 
          Compute the unitary, ordinary-frequency inverse sine transform of \(F\),
 defined as
          
 
          
@@ -1410,7 +1410,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseSineTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseSineTransform(*args)[source]
 
          Class representing unevaluated inverse sine transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse sine transforms, see the
@@ -1419,7 +1419,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.cosine_transform(f, x, k, **hints)[source]
          
+sympy.integrals.transforms.cosine_transform(f, x, k, **hints)[source]
 
          Compute the unitary, ordinary-frequency cosine transform of \(f\), defined
 as
          
 
          
@@ -1449,7 +1449,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.CosineTransform(*args)[source]
          
+class sympy.integrals.transforms.CosineTransform(*args)[source]
 
          Class representing unevaluated cosine transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute cosine transforms, see the cosine_transform()
@@ -1458,7 +1458,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.inverse_cosine_transform(F, k, x, **hints)[source]
          
+sympy.integrals.transforms.inverse_cosine_transform(F, k, x, **hints)[source]
 
          Compute the unitary, ordinary-frequency inverse cosine transform of \(F\),
 defined as
          
 
          
@@ -1488,7 +1488,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseCosineTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseCosineTransform(*args)[source]
 
          Class representing unevaluated inverse cosine transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse cosine transforms, see the
@@ -1497,7 +1497,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.hankel_transform(f, r, k, nu, **hints)[source]
          
+sympy.integrals.transforms.hankel_transform(f, r, k, nu, **hints)[source]
 
          Compute the Hankel transform of \(f\), defined as
          
 
          
 
          
@@ -1541,7 +1541,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.HankelTransform(*args)[source]
          
+class sympy.integrals.transforms.HankelTransform(*args)[source]
 
          Class representing unevaluated Hankel transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute Hankel transforms, see the hankel_transform()
@@ -1550,7 +1550,7 @@ 
          Examples
 
 
          
 
          
-sympy.integrals.transforms.inverse_hankel_transform(F, k, r, nu, **hints)[source]
          
+sympy.integrals.transforms.inverse_hankel_transform(F, k, r, nu, **hints)[source]
 
          Compute the inverse Hankel transform of \(F\) defined as
          
 
          
 
          
@@ -1594,7 +1594,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.InverseHankelTransform(*args)[source]
          
+class sympy.integrals.transforms.InverseHankelTransform(*args)[source]
 
          Class representing unevaluated inverse Hankel transforms.
          
 
          For usage of this class, see the IntegralTransform docstring.
          
 
          For how to compute inverse Hankel transforms, see the
@@ -1603,7 +1603,7 @@ 
          Examples
 
 
          
 
          
-class sympy.integrals.transforms.IntegralTransform(*args)[source]
          
+class sympy.integrals.transforms.IntegralTransform(*args)[source]
 
          Base class for integral transforms.
          
 
          Explanation
          
 
          This class represents unevaluated transforms.
          
@@ -1620,7 +1620,7 @@ 
          Examples
 number and possibly a convergence condition.
          
 
          
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Try to evaluate the transform in closed form.
          
 
          Explanation
          
 
          This general function handles linearity, but apart from that leaves
@@ -1662,7 +1662,7 @@ 
          Examples
 
 
          
 
          
-exception sympy.integrals.transforms.IntegralTransformError(transform, function, msg)[source]
          
+exception sympy.integrals.transforms.IntegralTransformError(transform, function, msg)[source]
 
          Exception raised in relation to problems computing transforms.
          
 
          Explanation
          
 
          This class is mostly used internally; if integrals cannot be computed
@@ -1685,7 +1685,7 @@ 
          Internalsratint().
          
 
          
 
          
-sympy.integrals.rationaltools.ratint(f, x, **flags)[source]
          
+sympy.integrals.rationaltools.ratint(f, x, **flags)[source]
 
          Performs indefinite integration of rational functions.
          
 
          Explanation
          
 
          Given a field \(K\) and a rational function \(f = p/q\),
@@ -1716,7 +1716,7 @@ 
          Internals
 
          
-sympy.integrals.rationaltools.ratint_ratpart(f, g, x)[source]
          
+sympy.integrals.rationaltools.ratint_ratpart(f, g, x)[source]
 
          Horowitz-Ostrogradsky algorithm.
          
 
          Explanation
          
 
          Given a field K and polynomials f and g in K[x], such that f and g
@@ -1745,7 +1745,7 @@ 
          Internals
 
          
-sympy.integrals.rationaltools.ratint_logpart(f, g, x, t=None)[source]
          
+sympy.integrals.rationaltools.ratint_logpart(f, g, x, t=None)[source]
 
          Lazard-Rioboo-Trager algorithm.
          
 
          Explanation
          
 
          Given a field K and polynomials f and g in K[x], such that f and g
@@ -1784,7 +1784,7 @@ 
          Internals
 
          
-sympy.integrals.trigonometry.trigintegrate(f, x, conds='piecewise')[source]
          
+sympy.integrals.trigonometry.trigintegrate(f, x, conds='piecewise')[source]
 
          Integrate f = Mul(trig) over x.
          
 
          Examples
          
 
          >>> from sympy import sin, cos, tan, sec
@@ -1825,7 +1825,7 @@ 
          Internalsdeltaintegrate() solves integrals with DiracDelta objects.
          
 
          
 
          
-sympy.integrals.deltafunctions.deltaintegrate(f, x)[source]
          
+sympy.integrals.deltafunctions.deltaintegrate(f, x)[source]
 
          Explanation
          
 
          The idea for integration is the following:
          
 
            
@@ -1875,7 +1875,7 @@ 
            Internalssingularityintegrate() is applied if the function contains a SingularityFunction
            
 
            
 
            
-sympy.integrals.singularityfunctions.singularityintegrate(f, x)[source]
            
+sympy.integrals.singularityfunctions.singularityintegrate(f, x)[source]
 
            This function handles the indefinite integrations of Singularity functions.
 The integrate function calls this function internally whenever an
 instance of SingularityFunction is passed as argument.
            
@@ -1940,7 +1940,7 @@ 
            Internalsconds='piecewise',
            
 
            
 
-)[source]
+)[source]
 
            The Risch Integration Algorithm.
            
 
            Explanation
            
 
            Only transcendental functions are supported.  Currently, only exponentials
@@ -2048,7 +2048,7 @@ 
            Internals**assumptions,
            
 
          
 
-)[source]
+)[source]
 
          Represents a nonelementary Integral.
          
 
          Explanation
          
 
          If the result of integrate() is an instance of this class, it is
@@ -2100,7 +2100,7 @@ 
          Internalsintegral_steps() function.
          
 
          
 
          
-sympy.integrals.manualintegrate.manualintegrate(f, var)[source]
          
+sympy.integrals.manualintegrate.manualintegrate(f, var)[source]
 
          Explanation
          
 
          Compute indefinite integral of a single variable using an algorithm that
 resembles what a student would do by hand.
          
@@ -2143,7 +2143,7 @@ 
          Internals
 
          
-sympy.integrals.manualintegrate.integral_steps(integrand, symbol, **options)[source]
          
+sympy.integrals.manualintegrate.integral_steps(integrand, symbol, **options)[source]
 
          Returns the steps needed to compute an integral.
          
 
          
 
          Returns:
          
@@ -2203,7 +2203,7 @@ 
          Internals_try_heurisch=None,
          
 
          
 
-)[source]
+)[source]
 
          Compute indefinite integral using heuristic Risch algorithm.
          
 
          Explanation
          
 
          This is a heuristic approach to indefinite integration in finite
@@ -2289,7 +2289,7 @@ 
          Internals
 
          
-sympy.integrals.heurisch.components(f, x)[source]
          
+sympy.integrals.heurisch.components(f, x)[source]
 
          Returns a set of all functional components of the given expression
 which includes symbols, function applications and compositions and
 non-integer powers. Fractional powers are collected with
@@ -2317,7 +2317,7 @@ 
          Internals
          
 
          
 
          
-sympy.integrals.integrals.integrate(f, var, ...)[source]
          
+sympy.integrals.integrals.integrate(f, var, ...)[source]
 
          
 
          Deprecated since version 1.6: Using integrate() with Poly is deprecated. Use
 Poly.integrate() instead. See Using integrate with Poly.
          
@@ -2466,7 +2466,7 @@ 
          API reference
 
          
-sympy.integrals.integrals.line_integrate(field, Curve, variables)[source]
          
+sympy.integrals.integrals.line_integrate(field, Curve, variables)[source]
 
          Compute the line integral.
          
 
          Examples
          
 
          >>> from sympy import Curve, line_integrate, E, ln
@@ -2485,7 +2485,7 @@ 
          API referenceIntegral represents an unevaluated integral and has some methods that help in the integration of an expression.
          
 
          
 
          
-class sympy.integrals.integrals.Integral(function, *symbols, **assumptions)[source]
          
+class sympy.integrals.integrals.Integral(function, *symbols, **assumptions)[source]
 
          Represents unevaluated integral.
          
 
          
 
          
@@ -2503,7 +2503,7 @@ 
          API referenceevaluate=True,
          
 
          
 
-)[source]
+)[source]
 
          Approximates a definite integral by a sum.
          
 
          
 
          Parameters:
          
@@ -2614,7 +2614,7 @@ 
          API reference
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Perform the integration using any hints given.
          
 
          Examples
          
 
          >>> from sympy import Piecewise, S
@@ -2656,7 +2656,7 @@ 
          API reference
 
          
-principal_value(**kwargs)[source]
          
+principal_value(**kwargs)[source]
 
          Compute the Cauchy Principal Value of the definite integral of a real function in the given interval
 on the real axis.
          
 
          Explanation
          
@@ -2691,7 +2691,7 @@ 
          API reference
 
          
-transform(x, u)[source]
          
+transform(x, u)[source]
 
          Performs a change of variables from \(x\) to \(u\) using the relationship
 given by \(x\) and \(u\) which will define the transformations \(f\) and \(F\)
 (which are inverses of each other) as follows:
          
@@ -2798,7 +2798,7 @@ 
          API referenceIntegral and Sum.
          
 
          
 
          
-class sympy.concrete.expr_with_limits.ExprWithLimits(function, *symbols, **assumptions)[source]
          
+class sympy.concrete.expr_with_limits.ExprWithLimits(function, *symbols, **assumptions)[source]
 
          
 
          
 property bound_symbols
          
@@ -2984,7 +2984,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_legendre(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_legendre(n, n_digits)[source]
 
          Computes the Gauss-Legendre quadrature [R578] points and weights.
          
 
          
 
          Parameters:
          
@@ -3051,7 +3051,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_laguerre(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_laguerre(n, n_digits)[source]
 
          Computes the Gauss-Laguerre quadrature [R580] points and weights.
          
 
          
 
          Parameters:
          
@@ -3118,7 +3118,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_hermite(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_hermite(n, n_digits)[source]
 
          Computes the Gauss-Hermite quadrature [R582] points and weights.
          
 
          
 
          Parameters:
          
@@ -3192,7 +3192,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_gen_laguerre(n, alpha, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_gen_laguerre(n, alpha, n_digits)[source]
 
          Computes the generalized Gauss-Laguerre quadrature [R585] points and weights.
          
 
          
 
          Parameters:
          
@@ -3268,7 +3268,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_chebyshev_t(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_chebyshev_t(n, n_digits)[source]
 
          Computes the Gauss-Chebyshev quadrature [R587] points and weights of
 the first kind.
          
 
          
@@ -3339,7 +3339,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_chebyshev_u(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_chebyshev_u(n, n_digits)[source]
 
          Computes the Gauss-Chebyshev quadrature [R589] points and weights of
 the second kind.
          
 
          
@@ -3404,7 +3404,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_jacobi(n, alpha, beta, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_jacobi(n, alpha, beta, n_digits)[source]
 
          Computes the Gauss-Jacobi quadrature [R591] points and weights.
          
 
          
 
          Parameters:
          
@@ -3479,7 +3479,7 @@ 
          Numeric Integrals
 
          
-sympy.integrals.quadrature.gauss_lobatto(n, n_digits)[source]
          
+sympy.integrals.quadrature.gauss_lobatto(n, n_digits)[source]
 
          Computes the Gauss-Lobatto quadrature [R594] points and weights.
          
 
          
 
          Parameters:
          
@@ -3645,7 +3645,7 @@ 
          API referencemax_degree=None,
          
 
          
 
-)[source]
+)[source]
 
          Integrates polynomials over 2/3-Polytopes.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/interactive.html b/dev/modules/interactive.html
index 416d84890db..b59c6894682 100644
--- a/dev/modules/interactive.html
+++ b/dev/modules/interactive.html
@@ -806,13 +806,13 @@ 
          Documentation Version
          
 
          Tools for setting up interactive sessions.
          
 
          
 
          
-sympy.interactive.session.enable_automatic_int_sympification(shell)[source]
          
+sympy.interactive.session.enable_automatic_int_sympification(shell)[source]
 
          Allow IPython to automatically convert integer literals to Integer.
          
 
          
 
 
          
 
          
-sympy.interactive.session.enable_automatic_symbols(shell)[source]
          
+sympy.interactive.session.enable_automatic_symbols(shell)[source]
 
          Allow IPython to automatically create symbols (isympy -a).
          
 
          
 
@@ -827,13 +827,13 @@ 
          Documentation Version
          
 
          auto_int_to_Integer=False,
          
 
          
 
-)[source]
+)[source]
 
          Construct new IPython session.
          
 
          
 
 
          
 
          
-sympy.interactive.session.init_python_session()[source]
          
+sympy.interactive.session.init_python_session()[source]
 
          Construct new Python session.
          
 
          
 
@@ -856,7 +856,7 @@ 
          Documentation Version
          
 
          argv=[],
          
 
          
 
-)[source]
+)[source]
 
          Initialize an embedded IPython or Python session. The IPython session is
 initiated with the –pylab option, without the numpy imports, so that
 matplotlib plotting can be interactive.
          
@@ -974,7 +974,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.interactive.session.int_to_Integer(s)[source]
          
+sympy.interactive.session.int_to_Integer(s)[source]
 
          Wrap integer literals with Integer.
          
 
          This is based on the decistmt example from
 https://docs.python.org/3/library/tokenize.html.
          
@@ -1026,7 +1026,7 @@ 
          Documentation Version
          
 
          **settings,
          
 
          
 
-)[source]
+)[source]
 
          Initializes pretty-printer depending on the environment.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/liealgebras/index.html b/dev/modules/liealgebras/index.html
index dc1de4e573c..fb52b7c4252 100644
--- a/dev/modules/liealgebras/index.html
+++ b/dev/modules/liealgebras/index.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Lie Algebra
          
 
          
 
          
-class sympy.liealgebras.root_system.RootSystem(cartantype)[source]
          
+class sympy.liealgebras.root_system.RootSystem(cartantype)[source]
 
          Represent the root system of a simple Lie algebra
          
 
          Every simple Lie algebra has a unique root system.  To find the root
 system, we first consider the Cartan subalgebra of g, which is the maximal
@@ -837,7 +837,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-add_as_roots(root1, root2)[source]
          
+add_as_roots(root1, root2)[source]
 
          Add two roots together if and only if their sum is also a root
          
 
          It takes as input two vectors which should be roots.  It then computes
 their sum and checks if it is in the list of all possible roots.  If it
@@ -856,7 +856,7 @@ 
          Documentation Version
          
 
 
          
 
          
-add_simple_roots(root1, root2)[source]
          
+add_simple_roots(root1, root2)[source]
 
          Add two simple roots together
          
 
          The function takes as input two integers, root1 and root2.  It then
 uses these integers as keys in the dictionary of simple roots, and gets
@@ -873,7 +873,7 @@ 
          Documentation Version
          
 
 
          
 
          
-all_roots()[source]
          
+all_roots()[source]
 
          Generate all the roots of a given root system
          
 
          The result is a dictionary where the keys are integer numbers.  It
 generates the roots by getting the dictionary of all positive roots
@@ -884,7 +884,7 @@ 
          Documentation Version
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          Cartan matrix of Lie algebra associated with this root system
          
 
          Examples
          
 
          >>> from sympy.liealgebras.root_system import RootSystem
@@ -900,7 +900,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dynkin_diagram()[source]
          
+dynkin_diagram()[source]
 
          Dynkin diagram of the Lie algebra associated with this root system
          
 
          Examples
          
 
          >>> from sympy.liealgebras.root_system import RootSystem
@@ -914,7 +914,7 @@ 
          Documentation Version
          
 
 
          
 
          
-root_space()[source]
          
+root_space()[source]
 
          Return the span of the simple roots
          
 
          The root space is the vector space spanned by the simple roots, i.e. it
 is a vector space with a distinguished basis, the simple roots.  This
@@ -931,7 +931,7 @@ 
          Documentation Version
          
 
 
          
 
          
-simple_roots()[source]
          
+simple_roots()[source]
 
          Generate the simple roots of the Lie algebra
          
 
          The rank of the Lie algebra determines the number of simple roots that
 it has.  This method obtains the rank of the Lie algebra, and then uses
@@ -951,13 +951,13 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_a.TypeA(n)[source]
          
+class sympy.liealgebras.type_a.TypeA(n)[source]
 
          This class contains the information about
 the A series of simple Lie algebras.
 ====
          
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          This is a method just to generate roots
 with a 1 iin the ith position and a -1
 in the jth position.
          
@@ -965,13 +965,13 @@ 
          Documentation Version
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of A_n
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          Returns the Cartan matrix for A_n.
 The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -992,7 +992,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1005,19 +1005,19 @@ 
          Documentation Version
          
 
 
          
 
          
-highest_root()[source]
          
+highest_root()[source]
 
          Returns the highest weight root for A_n
          
 
          
 
 
          
 
          
-lie_algebra()[source]
          
+lie_algebra()[source]
 
          Returns the Lie algebra associated with A_n
          
 
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          This method generates all the positive roots of
 A_n.  This is half of all of the roots of A_n;
 by multiplying all the positive roots by -1 we
@@ -1034,13 +1034,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots for A_n
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
 roots such that an element of Q is called a
@@ -1066,10 +1066,10 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_b.TypeB(n)[source]
          
+class sympy.liealgebras.type_b.TypeB(n)[source]
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          This is a method just to generate roots
 with a 1 iin the ith position and a -1
 in the jth position.
          
@@ -1077,13 +1077,13 @@ 
          Documentation Version
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of B_n
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          Returns the Cartan matrix for B_n.
 The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1104,7 +1104,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1117,13 +1117,13 @@ 
          Documentation Version
          
 
 
          
 
          
-lie_algebra()[source]
          
+lie_algebra()[source]
 
          Returns the Lie algebra associated with B_n
          
 
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          This method generates all the positive roots of
 A_n.  This is half of all of the roots of B_n;
 by multiplying all the positive roots by -1 we
@@ -1140,13 +1140,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots for B_n”
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
 roots such that an element of Q is called a
@@ -1174,22 +1174,22 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_c.TypeC(n)[source]
          
+class sympy.liealgebras.type_c.TypeC(n)[source]
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          Generate roots with 1 in ith position and a -1 in jth position
          
 
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of C_n
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          The Cartan matrix for C_n
          
 
          The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1210,7 +1210,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1223,13 +1223,13 @@ 
          Documentation Version
          
 
 
          
 
          
-lie_algebra()[source]
          
+lie_algebra()[source]
 
          Returns the Lie algebra associated with C_n”
          
 
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          Generates all the positive roots of A_n
          
 
          This is half of all of the roots of C_n; by multiplying all the
 positive roots by -1 we get the negative roots.
          
@@ -1245,13 +1245,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots for C_n”
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          The ith simple root for the C series
          
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
@@ -1279,10 +1279,10 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_d.TypeD(n)[source]
          
+class sympy.liealgebras.type_d.TypeD(n)[source]
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          This is a method just to generate roots
 with a 1 iin the ith position and a -1
 in the jth position.
          
@@ -1290,13 +1290,13 @@ 
          Documentation Version
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of D_n
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          Returns the Cartan matrix for D_n.
 The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1317,7 +1317,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dmension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1330,13 +1330,13 @@ 
          Documentation Version
          
 
 
          
 
          
-lie_algebra()[source]
          
+lie_algebra()[source]
 
          Returns the Lie algebra associated with D_n”
          
 
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          This method generates all the positive roots of
 A_n.  This is half of all of the roots of D_n
 by multiplying all the positive roots by -1 we
@@ -1353,13 +1353,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots for D_n”
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
 roots such that an element of Q is called a
@@ -1387,10 +1387,10 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_e.TypeE(n)[source]
          
+class sympy.liealgebras.type_e.TypeE(n)[source]
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          This is a method just to generate roots
 with a -1 in the ith position and a 1
 in the jth position.
          
@@ -1398,13 +1398,13 @@ 
          Documentation Version
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of E_n
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          Returns the Cartan matrix for G_2
 The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1425,7 +1425,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1438,7 +1438,7 @@ 
          Documentation Version
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          This method generates all the positive roots of
 A_n.  This is half of all of the roots of E_n;
 by multiplying all the positive roots by -1 we
@@ -1455,13 +1455,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots of E_n
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          Every Lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
 roots such that an element of Q is called a
@@ -1484,22 +1484,22 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_f.TypeF(n)[source]
          
+class sympy.liealgebras.type_f.TypeF(n)[source]
 
          
 
          
-basic_root(i, j)[source]
          
+basic_root(i, j)[source]
 
          Generate roots with 1 in ith position and -1 in jth position
          
 
          
 
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of F_4
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          The Cartan matrix for F_4
          
 
          The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1520,7 +1520,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1533,7 +1533,7 @@ 
          Documentation Version
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          Generate all the positive roots of A_n
          
 
          This is half of all of the roots of F_4; by multiplying all the
 positive roots by -1 we get the negative roots.
          
@@ -1549,13 +1549,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots for F_4
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          The ith simple root of F_4
          
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
@@ -1578,16 +1578,16 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.type_g.TypeG(n)[source]
          
+class sympy.liealgebras.type_g.TypeG(n)[source]
 
          
 
          
-basis()[source]
          
+basis()[source]
 
          Returns the number of independent generators of G_2
          
 
          
 
 
          
 
          
-cartan_matrix()[source]
          
+cartan_matrix()[source]
 
          The Cartan matrix for G_2
          
 
          The Cartan matrix matrix for a Lie algebra is
 generated by assigning an ordering to the simple
@@ -1606,7 +1606,7 @@ 
          Documentation Version
          
 
 
          
 
          
-dimension()[source]
          
+dimension()[source]
 
          Dimension of the vector space V underlying the Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_type import CartanType
@@ -1619,7 +1619,7 @@ 
          Documentation Version
          
 
 
          
 
          
-positive_roots()[source]
          
+positive_roots()[source]
 
          Generate all the positive roots of A_n
          
 
          This is half of all of the roots of A_n; by multiplying all the
 positive roots by -1 we get the negative roots.
          
@@ -1635,13 +1635,13 @@ 
          Documentation Version
          
 
 
          
 
          
-roots()[source]
          
+roots()[source]
 
          Returns the total number of roots of G_2”
          
 
          
 
 
          
 
          
-simple_root(i)[source]
          
+simple_root(i)[source]
 
          The ith simple root of G_2
          
 
          Every lie algebra has a unique root system.
 Given a root system Q, there is a subset of the
@@ -1664,7 +1664,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.weyl_group.WeylGroup(cartantype)[source]
          
+class sympy.liealgebras.weyl_group.WeylGroup(cartantype)[source]
 
          For each semisimple Lie group, we have a Weyl group.  It is a subgroup of
 the isometry group of the root system.  Specifically, it’s the subgroup
 that is generated by reflections through the hyperplanes orthogonal to
@@ -1672,7 +1672,7 @@ 
          Documentation Version
          
 group is a finite Coxeter group.
          
 
          
 
          
-coxeter_diagram()[source]
          
+coxeter_diagram()[source]
 
          This method returns the Coxeter diagram corresponding to a Weyl group.
 The Coxeter diagram can be obtained from a Lie algebra’s Dynkin diagram
 by deleting all arrows; the Coxeter diagram is the undirected graph.
@@ -1693,7 +1693,7 @@ 
          Documentation Version
          
 
 
          
 
          
-delete_doubles(reflections)[source]
          
+delete_doubles(reflections)[source]
 
          This is a helper method for determining the order of an element in the
 Weyl group of G2.  It takes a Weyl element and if repeated simple reflections
 in it, it deletes them.
          
@@ -1701,7 +1701,7 @@ 
          Documentation Version
          
 
 
          
 
          
-element_order(weylelt)[source]
          
+element_order(weylelt)[source]
 
          This method returns the order of a given Weyl group element, which should
 be specified by the user in the form of products of the generating
 reflections, i.e. of the form r1*r2 etc.
          
@@ -1719,7 +1719,7 @@ 
          Documentation Version
          
 
 
          
 
          
-generators()[source]
          
+generators()[source]
 
          This method creates the generating reflections of the Weyl group for
 a given Lie algebra.  For a Lie algebra of rank n, there are n
 different generating reflections.  This function returns them as
@@ -1735,7 +1735,7 @@ 
          Documentation Version
          
 
 
          
 
          
-group_name()[source]
          
+group_name()[source]
 
          This method returns some general information about the Weyl group for
 a given Lie algebra.  It returns the name of the group and the elements
 it acts on, if relevant.
          
@@ -1743,7 +1743,7 @@ 
          Documentation Version
          
 
 
          
 
          
-group_order()[source]
          
+group_order()[source]
 
          This method returns the order of the Weyl group.
 For types A, B, C, D, and E the order depends on
 the rank of the Lie algebra.  For types F and G,
@@ -1759,7 +1759,7 @@ 
          Documentation Version
          
 
 
          
 
          
-matrix_form(weylelt)[source]
          
+matrix_form(weylelt)[source]
 
          This method takes input from the user in the form of products of the
 generating reflections, and returns the matrix corresponding to the
 element of the Weyl group.  Since each element of the Weyl group is
@@ -1783,23 +1783,23 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.liealgebras.cartan_type.CartanType_generator[source]
          
+class sympy.liealgebras.cartan_type.CartanType_generator[source]
 
          Constructor for actually creating things
          
 
          
 
 
          
 
          
-class sympy.liealgebras.cartan_type.Standard_Cartan(series, n)[source]
          
+class sympy.liealgebras.cartan_type.Standard_Cartan(series, n)[source]
 
          Concrete base class for Cartan types such as A4, etc
          
 
          
 
          
-rank()[source]
          
+rank()[source]
 
          Returns the rank of the Lie algebra
          
 
          
 
 
          
 
          
-series()[source]
          
+series()[source]
 
          Returns the type of the Lie algebra
          
 
          
 
@@ -1807,7 +1807,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.liealgebras.dynkin_diagram.DynkinDiagram(t)[source]
          
+sympy.liealgebras.dynkin_diagram.DynkinDiagram(t)[source]
 
          Display the Dynkin diagram of a given Lie algebra
          
 
          Works by generating the CartanType for the input, t, and then returning the
 Dynkin diagram method from the individual classes.
          
@@ -1827,7 +1827,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.liealgebras.cartan_matrix.CartanMatrix(ct)[source]
          
+sympy.liealgebras.cartan_matrix.CartanMatrix(ct)[source]
 
          Access the Cartan matrix of a specific Lie algebra
          
 
          Examples
          
 
          >>> from sympy.liealgebras.cartan_matrix import CartanMatrix
diff --git a/dev/modules/logic.html b/dev/modules/logic.html
index 2fbc9061d52..44fe92152cf 100644
--- a/dev/modules/logic.html
+++ b/dev/modules/logic.html
@@ -837,7 +837,7 @@ 
          Forming logical expressions
 
          
-sympy.logic.boolalg.SOPform(variables, minterms, dontcares=None)[source]
          
+sympy.logic.boolalg.SOPform(variables, minterms, dontcares=None)[source]
 
          The SOPform function uses simplified_pairs and a redundant group-
 eliminating algorithm to convert the list of all input combos that
 generate ‘1’ (the minterms) into the smallest sum-of-products form.
          
@@ -898,7 +898,7 @@ 
          Forming logical expressions
 
          
-sympy.logic.boolalg.POSform(variables, minterms, dontcares=None)[source]
          
+sympy.logic.boolalg.POSform(variables, minterms, dontcares=None)[source]
 
          The POSform function uses simplified_pairs and a redundant-group
 eliminating algorithm to convert the list of all input combinations
 that generate ‘1’ (the minterms) into the smallest product-of-sums form.
          
@@ -959,7 +959,7 @@ 
          Forming logical expressions
 
          
-sympy.logic.boolalg.ANFform(variables, truthvalues)[source]
          
+sympy.logic.boolalg.ANFform(variables, truthvalues)[source]
 
          The ANFform function converts the list of truth values to
 Algebraic Normal Form (ANF).
          
 
          The variables must be given as the first argument.
          
@@ -1003,11 +1003,11 @@ 
          Forming logical expressions
          
 
          
 
          
-class sympy.logic.boolalg.Boolean(*args)[source]
          
+class sympy.logic.boolalg.Boolean(*args)[source]
 
          A Boolean object is an object for which logic operations make sense.
          
 
          
 
          
-as_set()[source]
          
+as_set()[source]
 
          Rewrites Boolean expression in terms of real sets.
          
 
          Examples
          
 
          >>> from sympy import Symbol, Eq, Or, And
@@ -1026,7 +1026,7 @@ 
          Boolean functions
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Returns True if the given formulas have the same truth table.
 For two formulas to be equal they must have the same literals.
          
 
          Examples
          
@@ -1046,7 +1046,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.BooleanTrue[source]
          
+class sympy.logic.boolalg.BooleanTrue[source]
 
          SymPy version of True, a singleton that can be accessed via S.true.
          
 
          This is the SymPy version of True, for use in the logic module. The
 primary advantage of using true instead of True is that shorthand Boolean
@@ -1119,7 +1119,7 @@ 
          Boolean functions
 
          
-as_set()[source]
          
+as_set()[source]
 
          Rewrite logic operators and relationals in terms of real sets.
          
 
          Examples
          
 
          >>> from sympy import true
@@ -1133,7 +1133,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.BooleanFalse[source]
          
+class sympy.logic.boolalg.BooleanFalse[source]
 
          SymPy version of False, a singleton that can be accessed via S.false.
          
 
          This is the SymPy version of False, for use in the logic module. The
 primary advantage of using false instead of False is that shorthand
@@ -1170,7 +1170,7 @@ 
          Boolean functions
 
          
-as_set()[source]
          
+as_set()[source]
 
          Rewrite logic operators and relationals in terms of real sets.
          
 
          Examples
          
 
          >>> from sympy import false
@@ -1184,7 +1184,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.And(*args)[source]
          
+class sympy.logic.boolalg.And(*args)[source]
 
          Logical AND function.
          
 
          It evaluates its arguments in order, returning false immediately
 when an argument is false and true if they are all true.
          
@@ -1208,7 +1208,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Or(*args)[source]
          
+class sympy.logic.boolalg.Or(*args)[source]
 
          Logical OR function
          
 
          It evaluates its arguments in order, returning true immediately
 when an  argument is true, and false if they are all false.
          
@@ -1232,7 +1232,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Not(arg)[source]
          
+class sympy.logic.boolalg.Not(arg)[source]
 
          Logical Not function (negation)
          
 
          Returns true if the statement is false or False.
 Returns false if the statement is true or True.
          
@@ -1278,7 +1278,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Xor(*args)[source]
          
+class sympy.logic.boolalg.Xor(*args)[source]
 
          Logical XOR (exclusive OR) function.
          
 
          Returns True if an odd number of the arguments are True and the rest are
 False.
          
@@ -1313,7 +1313,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Nand(*args)[source]
          
+class sympy.logic.boolalg.Nand(*args)[source]
 
          Logical NAND function.
          
 
          It evaluates its arguments in order, giving True immediately if any
 of them are False, and False if they are all True.
          
@@ -1335,7 +1335,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Nor(*args)[source]
          
+class sympy.logic.boolalg.Nor(*args)[source]
 
          Logical NOR function.
          
 
          It evaluates its arguments in order, giving False immediately if any
 of them are True, and True if they are all False.
          
@@ -1363,7 +1363,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Xnor(*args)[source]
          
+class sympy.logic.boolalg.Xnor(*args)[source]
 
          Logical XNOR function.
          
 
          Returns False if an odd number of the arguments are True and the rest are
 False.
          
@@ -1387,7 +1387,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Implies(*args)[source]
          
+class sympy.logic.boolalg.Implies(*args)[source]
 
          Logical implication.
          
 
          A implies B is equivalent to if A then B. Mathematically, it is written
 as \(A \Rightarrow B\) and is equivalent to \(\neg A \vee B\) or ~A | B.
          
@@ -1433,7 +1433,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Equivalent(*args)[source]
          
+class sympy.logic.boolalg.Equivalent(*args)[source]
 
          Equivalence relation.
          
 
          Equivalent(A, B) is True iff A and B are both True or both False.
          
 
          Returns True if all of the arguments are logically equivalent.
@@ -1454,7 +1454,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.ITE(*args)[source]
          
+class sympy.logic.boolalg.ITE(*args)[source]
 
          If-then-else clause.
          
 
          ITE(A, B, C) evaluates and returns the result of B if A is true
 else it returns the result of C. All args must be Booleans.
          
@@ -1488,7 +1488,7 @@ 
          Boolean functions
 
          
-class sympy.logic.boolalg.Exclusive(*args)[source]
          
+class sympy.logic.boolalg.Exclusive(*args)[source]
 
          True if only one or no argument is true.
          
 
          Exclusive(A, B, C) is equivalent to ~(A & B) & ~(A & C) & ~(B & C).
          
 
          For two arguments, this is equivalent to Xor.
          
@@ -1508,7 +1508,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.to_anf(expr, deep=True)[source]
          
+sympy.logic.boolalg.to_anf(expr, deep=True)[source]
 
          Converts expr to Algebraic Normal Form (ANF).
          
 
          ANF is a canonical normal form, which means that two
 equivalent formulas will convert to the same ANF.
          
@@ -1547,7 +1547,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.to_cnf(expr, simplify=False, force=False)[source]
          
+sympy.logic.boolalg.to_cnf(expr, simplify=False, force=False)[source]
 
          Convert a propositional logical sentence expr to conjunctive normal
 form: ((A | ~B | ...) & (B | C | ...) & ...).
 If simplify is True, expr is evaluated to its simplest CNF
@@ -1567,7 +1567,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.to_dnf(expr, simplify=False, force=False)[source]
          
+sympy.logic.boolalg.to_dnf(expr, simplify=False, force=False)[source]
 
          Convert a propositional logical sentence expr to disjunctive normal
 form: ((A & ~B & ...) | (B & C & ...) | ...).
 If simplify is True, expr is evaluated to its simplest DNF form using
@@ -1587,7 +1587,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.to_nnf(expr, simplify=True)[source]
          
+sympy.logic.boolalg.to_nnf(expr, simplify=True)[source]
 
          Converts expr to Negation Normal Form (NNF).
          
 
          A logical expression is in NNF if it
 contains only And, Or and Not,
@@ -1606,7 +1606,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.is_anf(expr)[source]
          
+sympy.logic.boolalg.is_anf(expr)[source]
 
          Checks if expr  is in Algebraic Normal Form (ANF).
          
 
          A logical expression is in ANF if it has the form
          
 
          
@@ -1634,7 +1634,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.is_cnf(expr)[source]
          
+sympy.logic.boolalg.is_cnf(expr)[source]
 
          Test whether or not an expression is in conjunctive normal form.
          
 
          Examples
          
 
          >>> from sympy.logic.boolalg import is_cnf
@@ -1651,7 +1651,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.is_dnf(expr)[source]
          
+sympy.logic.boolalg.is_dnf(expr)[source]
 
          Test whether or not an expression is in disjunctive normal form.
          
 
          Examples
          
 
          >>> from sympy.logic.boolalg import is_dnf
@@ -1670,7 +1670,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.is_nnf(expr, simplified=True)[source]
          
+sympy.logic.boolalg.is_nnf(expr, simplified=True)[source]
 
          Checks if expr is in Negation Normal Form (NNF).
          
 
          A logical expression is in NNF if it
 contains only And, Or and Not,
@@ -1695,7 +1695,7 @@ 
          Boolean functions
 
          
-sympy.logic.boolalg.gateinputcount(expr)[source]
          
+sympy.logic.boolalg.gateinputcount(expr)[source]
 
          Return the total number of inputs for the logic gates realizing the
 Boolean expression.
          
 
          
@@ -1759,7 +1759,7 @@ 
          Simplification and equivalence-testingdontcare=None,
          
 
          
 
-)[source]
+)[source]
 
          This function simplifies a boolean function to its simplified version
 in SOP or POS form. The return type is an Or or
 And object in SymPy.
          
@@ -1820,7 +1820,7 @@ 
          Simplification and equivalence-testing
 
          
-sympy.logic.boolalg.bool_map(bool1, bool2)[source]
          
+sympy.logic.boolalg.bool_map(bool1, bool2)[source]
 
          Return the simplified version of bool1, and the mapping of variables
 that makes the two expressions bool1 and bool2 represent the same
 logical behaviour for some correspondence between the variables
@@ -1858,7 +1858,7 @@ 
          Manipulating expressions
 
          
-sympy.logic.boolalg.distribute_and_over_or(expr)[source]
          
+sympy.logic.boolalg.distribute_and_over_or(expr)[source]
 
          Given a sentence expr consisting of conjunctions and disjunctions
 of literals, return an equivalent sentence in CNF.
          
 
          Examples
          
@@ -1872,7 +1872,7 @@ 
          Manipulating expressions
 
          
-sympy.logic.boolalg.distribute_or_over_and(expr)[source]
          
+sympy.logic.boolalg.distribute_or_over_and(expr)[source]
 
          Given a sentence expr consisting of conjunctions and disjunctions
 of literals, return an equivalent sentence in DNF.
          
 
          Note that the output is NOT simplified.
          
@@ -1887,7 +1887,7 @@ 
          Manipulating expressions
 
          
-sympy.logic.boolalg.distribute_xor_over_and(expr)[source]
          
+sympy.logic.boolalg.distribute_xor_over_and(expr)[source]
 
          Given a sentence expr consisting of conjunction and
 exclusive disjunctions of literals, return an
 equivalent exclusive disjunction.
          
@@ -1903,7 +1903,7 @@ 
          Manipulating expressions
 
          
-sympy.logic.boolalg.eliminate_implications(expr)[source]
          
+sympy.logic.boolalg.eliminate_implications(expr)[source]
 
          Change Implies and Equivalent into
 And, Or, and Not.
 That is, return an expression that is equivalent to expr, but has only
@@ -1928,7 +1928,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.truth_table(expr, variables, input=True)[source]
          
+sympy.logic.boolalg.truth_table(expr, variables, input=True)[source]
 
          Return a generator of all possible configurations of the input variables,
 and the result of the boolean expression for those values.
          
 
          
@@ -1984,7 +1984,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.integer_to_term(n, bits=None, str=False)[source]
          
+sympy.logic.boolalg.integer_to_term(n, bits=None, str=False)[source]
 
          Return a list of length bits corresponding to the binary value
 of n with small bits to the right (last). If bits is omitted, the
 length will be the number required to represent n. If the bits are
@@ -2027,7 +2027,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.term_to_integer(term)[source]
          
+sympy.logic.boolalg.term_to_integer(term)[source]
 
          Return an integer corresponding to the base-2 digits given by term.
          
 
          
 
          Parameters:
          
@@ -2046,7 +2046,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.bool_maxterm(k, variables)[source]
          
+sympy.logic.boolalg.bool_maxterm(k, variables)[source]
 
          Return the k-th maxterm.
          
 
          Each maxterm is assigned an index based on the opposite
 conventional binary encoding used for minterms. The maxterm
@@ -2078,7 +2078,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.bool_minterm(k, variables)[source]
          
+sympy.logic.boolalg.bool_minterm(k, variables)[source]
 
          Return the k-th minterm.
          
 
          Minterms are numbered by a binary encoding of the complementation
 pattern of the variables. This convention assigns the value 1 to
@@ -2109,7 +2109,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.bool_monomial(k, variables)[source]
          
+sympy.logic.boolalg.bool_monomial(k, variables)[source]
 
          Return the k-th monomial.
          
 
          Monomials are numbered by a binary encoding of the presence and
 absences of the variables. This convention assigns the value
@@ -2142,7 +2142,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.anf_coeffs(truthvalues)[source]
          
+sympy.logic.boolalg.anf_coeffs(truthvalues)[source]
 
          Convert a list of truth values of some boolean expression
 to the list of coefficients of the polynomial mod 2 (exclusive
 disjunction) representing the boolean expression in ANF
@@ -2175,7 +2175,7 @@ 
          Truth tables and related functions
 
          
-sympy.logic.boolalg.to_int_repr(clauses, symbols)[source]
          
+sympy.logic.boolalg.to_int_repr(clauses, symbols)[source]
 
          Takes clauses in CNF format and puts them into an integer representation.
          
 
          Examples
          
 
          >>> from sympy.logic.boolalg import to_int_repr
@@ -2220,7 +2220,7 @@ 
          Truth tables and related functionsuse_lra_theory=False,
          
 
          
 
-)[source]
+)[source]
 
          Check satisfiability of a propositional sentence.
 Returns a model when it succeeds.
 Returns {true: true} for trivially true expressions.
          
diff --git a/dev/modules/matrices/dense.html b/dev/modules/matrices/dense.html
index 2b037855e2b..d5a372e6787 100644
--- a/dev/modules/matrices/dense.html
+++ b/dev/modules/matrices/dense.html
@@ -802,17 +802,17 @@ 
          Documentation Version
          
 
          Dense Matrices
          
 
          
 
          
-sympy.matrices.dense.Matrix[source]
          
+sympy.matrices.dense.Matrix[source]
 
          alias of MutableDenseMatrix
          
 
          
 
 
          
 
          
-class sympy.matrices.dense.DenseMatrix[source]
          
+class sympy.matrices.dense.DenseMatrix[source]
 
          Matrix implementation based on DomainMatrix as the internal representation
          
 
          
 
          
-LDLdecomposition(hermitian=True)[source]
          
+LDLdecomposition(hermitian=True)[source]
 
          Returns the LDL Decomposition (L, D) of matrix A,
 such that L * D * L.H == A if hermitian flag is True, or
 L * D * L.T == A if hermitian is False.
@@ -862,13 +862,13 @@ 
          Dense Matrices
 
          
-as_immutable()[source]
          
+as_immutable()[source]
 
          Returns an Immutable version of this Matrix
          
 
          
 
 
          
 
          
-as_mutable()[source]
          
+as_mutable()[source]
 
          Returns a mutable version of this matrix
          
 
          Examples
          
 
          >>> from sympy import ImmutableMatrix
@@ -885,7 +885,7 @@ 
          Dense Matrices
 
          
-cholesky(hermitian=True)[source]
          
+cholesky(hermitian=True)[source]
 
          Returns the Cholesky-type decomposition L of a matrix A
 such that L * L.H == A if hermitian flag is True,
 or L * L.T == A if hermitian is False.
          
@@ -939,7 +939,7 @@ 
          Dense Matrices
 
          
-lower_triangular_solve(rhs)[source]
          
+lower_triangular_solve(rhs)[source]
 
          Solves Ax = B, where A is a lower triangular matrix.
          
 
          
 
          See also
          
@@ -949,7 +949,7 @@ 
          Dense Matrices
 
          
-upper_triangular_solve(rhs)[source]
          
+upper_triangular_solve(rhs)[source]
 
          Solves Ax = B, where A is an upper triangular matrix.
          
 
          
 
          See also
          
@@ -961,10 +961,10 @@ 
          Dense Matrices
 
          
-class sympy.matrices.dense.MutableDenseMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.dense.MutableDenseMatrix(*args, **kwargs)[source]
 
          
 
          
-simplify(**kwargs)[source]
          
+simplify(**kwargs)[source]
 
          Applies simplify to the elements of a matrix in place.
          
 
          This is a shortcut for M.applyfunc(lambda x: simplify(x, ratio, measure))
          
 
          
@@ -977,7 +977,7 @@ 
          Dense Matrices
 
          
-class sympy.matrices.immutable.ImmutableDenseMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.immutable.ImmutableDenseMatrix(*args, **kwargs)[source]
 
          Create an immutable version of a matrix.
          
 
          Examples
          
 
          >>> from sympy import eye, ImmutableMatrix
diff --git a/dev/modules/matrices/expressions.html b/dev/modules/matrices/expressions.html
index 03df1bb827c..ed3e91e2687 100644
--- a/dev/modules/matrices/expressions.html
+++ b/dev/modules/matrices/expressions.html
@@ -839,7 +839,7 @@ 
          Documentation Version
          
 
          Matrix Expressions Core Reference
          
 
          
 
          
-class sympy.matrices.expressions.MatrixExpr(*args, **kwargs)[source]
          
+class sympy.matrices.expressions.MatrixExpr(*args, **kwargs)[source]
 
          Superclass for Matrix Expressions
          
 
          MatrixExprs represent abstract matrices, linear transformations represented
 within a particular basis.
          
@@ -862,13 +862,13 @@ 
          Matrix Expressions Core Reference
 
          
-as_coeff_Mul(rational=False)[source]
          
+as_coeff_Mul(rational=False)[source]
 
          Efficiently extract the coefficient of a product.
          
 
          
 
 
          
 
          
-as_explicit()[source]
          
+as_explicit()[source]
 
          Returns a dense Matrix with elements represented explicitly
          
 
          Returns an object of type ImmutableDenseMatrix.
          
 
          Examples
          
@@ -894,7 +894,7 @@ 
          Matrix Expressions Core Reference
 
          
-as_mutable()[source]
          
+as_mutable()[source]
 
          Returns a dense, mutable matrix with elements represented explicitly
          
 
          Examples
          
 
          >>> from sympy import Identity
@@ -921,7 +921,7 @@ 
          Matrix Expressions Core Reference
 
          
-equals(other)[source]
          
+equals(other)[source]
 
          Test elementwise equality between matrices, potentially of different
 types
          
 
          >>> from sympy import Identity, eye
@@ -942,7 +942,7 @@ 
          Matrix Expressions Core Referencedimensions=None,
          
 
          
 
-)[source]
+)[source]
 
          Parse expression of matrices with explicitly summed indices into a
 matrix expression without indices, if possible.
          
 
          This transformation expressed in mathematical notation:
          
@@ -983,7 +983,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.MatrixSymbol(name, n, m)[source]
          
+class sympy.matrices.expressions.MatrixSymbol(name, n, m)[source]
 
          Symbolic representation of a Matrix object
          
 
          Creates a SymPy Symbol to represent a Matrix. This matrix has a shape and
 can be included in Matrix Expressions
          
@@ -1010,7 +1010,7 @@ 
          Matrix Expressions Core Reference_sympify=True,
          
 
          
 
-)[source]
+)[source]
 
          A Sum of Matrix Expressions
          
 
          MatAdd inherits from and operates like SymPy Add
          
 
          Examples
          
@@ -1035,7 +1035,7 @@ 
          Matrix Expressions Core Reference_sympify=True,
          
 
          
 
-)[source]
+)[source]
 
          A product of matrix expressions
          
 
          Examples
          
 
          >>> from sympy import MatMul, MatrixSymbol
@@ -1050,12 +1050,12 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.MatPow(base, exp, evaluate=False, **options)[source]
          
+class sympy.matrices.expressions.MatPow(base, exp, evaluate=False, **options)[source]
 
          
 
 
          
 
          
-sympy.matrices.expressions.hadamard_product(*matrices)[source]
          
+sympy.matrices.expressions.hadamard_product(*matrices)[source]
 
          Return the elementwise (aka Hadamard) product of matrices.
          
 
          Examples
          
 
          >>> from sympy import hadamard_product, MatrixSymbol
@@ -1073,7 +1073,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.HadamardProduct(*args, evaluate=False, check=None)[source]
          
+class sympy.matrices.expressions.HadamardProduct(*args, evaluate=False, check=None)[source]
 
          Elementwise product of matrix expressions
          
 
          Examples
          
 
          Hadamard product for matrix symbols:
          
@@ -1092,7 +1092,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.HadamardPower(base, exp)[source]
          
+class sympy.matrices.expressions.HadamardPower(base, exp)[source]
 
          Elementwise power of matrix expressions
          
 
          
 
          Parameters:
          
@@ -1146,7 +1146,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.Inverse(mat, exp=-1)[source]
          
+class sympy.matrices.expressions.Inverse(mat, exp=-1)[source]
 
          The multiplicative inverse of a matrix expression
          
 
          This is a symbolic object that simply stores its argument without
 evaluating it. To actually compute the inverse, use the .inverse()
@@ -1169,7 +1169,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.Transpose(*args, **kwargs)[source]
          
+class sympy.matrices.expressions.Transpose(*args, **kwargs)[source]
 
          The transpose of a matrix expression.
          
 
          This is a symbolic object that simply stores its argument without
 evaluating it. To actually compute the transpose, use the transpose()
@@ -1192,7 +1192,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.Trace(mat)[source]
          
+class sympy.matrices.expressions.Trace(mat)[source]
 
          Matrix Trace
          
 
          Represents the trace of a matrix expression.
          
 
          Examples
          
@@ -1213,7 +1213,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.FunctionMatrix(rows, cols, lamda)[source]
          
+class sympy.matrices.expressions.FunctionMatrix(rows, cols, lamda)[source]
 
          Represents a matrix using a function (Lambda) which gives
 outputs according to the coordinates of each matrix entries.
          
 
          
@@ -1281,7 +1281,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.PermutationMatrix(perm)[source]
          
+class sympy.matrices.expressions.PermutationMatrix(perm)[source]
 
          A Permutation Matrix
          
 
          
 
          Parameters:
          
@@ -1332,7 +1332,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.MatrixPermute(mat, perm, axis=0)[source]
          
+class sympy.matrices.expressions.MatrixPermute(mat, perm, axis=0)[source]
 
          Symbolic representation for permuting matrix rows or columns.
          
 
          
 
          Parameters:
          
@@ -1385,7 +1385,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.Identity(n)[source]
          
+class sympy.matrices.expressions.Identity(n)[source]
 
          The Matrix Identity I - multiplicative identity
          
 
          Examples
          
 
          >>> from sympy import Identity, MatrixSymbol
@@ -1399,7 +1399,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.ZeroMatrix(m, n)[source]
          
+class sympy.matrices.expressions.ZeroMatrix(m, n)[source]
 
          The Matrix Zero 0 - additive identity
          
 
          Examples
          
 
          >>> from sympy import MatrixSymbol, ZeroMatrix
@@ -1415,7 +1415,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.CompanionMatrix(poly)[source]
          
+class sympy.matrices.expressions.CompanionMatrix(poly)[source]
 
          A symbolic companion matrix of a polynomial.
          
 
          Examples
          
 
          >>> from sympy import Poly, Symbol, symbols
@@ -1432,7 +1432,7 @@ 
          Matrix Expressions Core Reference
 
          
-class sympy.matrices.expressions.MatrixSet(n, m, set)[source]
          
+class sympy.matrices.expressions.MatrixSet(n, m, set)[source]
 
          MatrixSet represents the set of matrices with shape = (n, m) over the
 given set.
          
 
          Examples
          
@@ -1457,7 +1457,7 @@ 
          Block MatricesImmutableMatrix objects.
          
 
          
 
          
-class sympy.matrices.expressions.blockmatrix.BlockMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.expressions.blockmatrix.BlockMatrix(*args, **kwargs)[source]
 
          A BlockMatrix is a Matrix comprised of other matrices.
          
 
          The submatrices are stored in a SymPy Matrix object but accessed as part of
 a Matrix Expression
          
@@ -1516,7 +1516,7 @@ 
          Block Matrices
 
          
-LDUdecomposition()[source]
          
+LDUdecomposition()[source]
 
          Returns the Block LDU decomposition of
 a 2x2 Block Matrix
          
 
          
@@ -1562,7 +1562,7 @@ 
          Block Matrices
 
          
-LUdecomposition()[source]
          
+LUdecomposition()[source]
 
          Returns the Block LU decomposition of
 a 2x2 Block Matrix
          
 
          
@@ -1607,7 +1607,7 @@ 
          Block Matrices
 
          
-UDLdecomposition()[source]
          
+UDLdecomposition()[source]
 
          Returns the Block UDL decomposition of
 a 2x2 Block Matrix
          
 
          
@@ -1653,7 +1653,7 @@ 
          Block Matrices
 
          
-schur(mat='A', generalized=False)[source]
          
+schur(mat='A', generalized=False)[source]
 
          Return the Schur Complement of the 2x2 BlockMatrix
          
 
          
 
          Parameters:
          
@@ -1728,7 +1728,7 @@ 
          Block Matrices
 
          
-transpose()[source]
          
+transpose()[source]
 
          Return transpose of matrix.
          
 
          Examples
          
 
          >>> from sympy import MatrixSymbol, BlockMatrix, ZeroMatrix
@@ -1753,7 +1753,7 @@ 
          Block Matrices
 
          
-class sympy.matrices.expressions.blockmatrix.BlockDiagMatrix(*mats)[source]
          
+class sympy.matrices.expressions.blockmatrix.BlockDiagMatrix(*mats)[source]
 
          A sparse matrix with block matrices along its diagonals
          
 
          Examples
          
 
          >>> from sympy import MatrixSymbol, BlockDiagMatrix, symbols
@@ -1775,7 +1775,7 @@ 
          Block Matrices
 
          
-get_diag_blocks()[source]
          
+get_diag_blocks()[source]
 
          Return the list of diagonal blocks of the matrix.
          
 
          Examples
          
 
          >>> from sympy import BlockDiagMatrix, Matrix
@@ -1804,7 +1804,7 @@ 
          Block Matrices
 
          
-sympy.matrices.expressions.blockmatrix.block_collapse(expr)[source]
          
+sympy.matrices.expressions.blockmatrix.block_collapse(expr)[source]
 
          Evaluates a block matrix expression
          
 
          >>> from sympy import MatrixSymbol, BlockMatrix, symbols, Identity, ZeroMatrix, block_collapse
 >>> n,m,l = symbols('n m l')
diff --git a/dev/modules/matrices/immutablematrices.html b/dev/modules/matrices/immutablematrices.html
index 4963156a7d0..774d2a68535 100644
--- a/dev/modules/matrices/immutablematrices.html
+++ b/dev/modules/matrices/immutablematrices.html
@@ -832,13 +832,13 @@ 
          Immutable Matrices
          ImmutableMatrix Class Reference
          
 
          
 
          
-sympy.matrices.immutable.ImmutableMatrix[source]
          
+sympy.matrices.immutable.ImmutableMatrix[source]
 
          alias of ImmutableDenseMatrix
          
 
          
 
 
          
 
          
-class sympy.matrices.immutable.ImmutableDenseMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.immutable.ImmutableDenseMatrix(*args, **kwargs)[source]
 
          Create an immutable version of a matrix.
          
 
          Examples
          
 
          >>> from sympy import eye, ImmutableMatrix
diff --git a/dev/modules/matrices/kind.html b/dev/modules/matrices/kind.html
index 6c17238356f..e5ef5bc9aa8 100644
--- a/dev/modules/matrices/kind.html
+++ b/dev/modules/matrices/kind.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Matrix Kind
          
 
          
 
          
-class sympy.matrices.kind.MatrixKind(element_kind=NumberKind)[source]
          
+class sympy.matrices.kind.MatrixKind(element_kind=NumberKind)[source]
 
          Kind for all matrices in SymPy.
          
 
          Basic class for this kind is MatrixBase and MatrixExpr,
 but any expression representing the matrix can have this.
          
diff --git a/dev/modules/matrices/matrices.html b/dev/modules/matrices/matrices.html
index 96796e9a4a1..c787cad0de6 100644
--- a/dev/modules/matrices/matrices.html
+++ b/dev/modules/matrices/matrices.html
@@ -1324,7 +1324,7 @@ 
          Matrix Base ClassesSparse Matrices.
          
 
          
 
          
-class sympy.matrices.matrixbase.MatrixBase[source]
          
+class sympy.matrices.matrixbase.MatrixBase[source]
 
          All common matrix operations including basic arithmetic, shaping,
 and special matrices like \(zeros\), and \(eye\).
          
 
          
@@ -1401,7 +1401,7 @@ 
          Matrix Base Classes
 
          
-LDLdecomposition(hermitian=True)[source]
          
+LDLdecomposition(hermitian=True)[source]
 
          Returns the LDL Decomposition (L, D) of matrix A,
 such that L * D * L.H == A if hermitian flag is True, or
 L * D * L.T == A if hermitian is False.
@@ -1451,7 +1451,7 @@ 
          Matrix Base Classes
 
          
-LDLsolve(rhs)[source]
          
+LDLsolve(rhs)[source]
 
          Solves Ax = B using LDL decomposition,
 for a general square and non-singular matrix.
          
 
          For a non-square matrix with rows > cols,
@@ -1480,7 +1480,7 @@ 
          Matrix Base Classesrankcheck=False,
          
 
          
 
-)[source]
+)[source]
 
          Returns (L, U, perm) where L is a lower triangular matrix with unit
 diagonal, U is an upper triangular matrix, and perm is a list of row
 swap index pairs. If A is the original matrix, then
@@ -1543,7 +1543,7 @@ 
          Matrix Base Classes
 
          
-LUdecompositionFF()[source]
          
+LUdecompositionFF()[source]
 
          Compute a fraction-free LU decomposition.
          
 
          Returns 4 matrices P, L, D, U such that PA = L D**-1 U.
 If the elements of the matrix belong to some integral domain I, then all
@@ -1573,7 +1573,7 @@ 
          Matrix Base Classesrankcheck=False,
          
 
          
 
-)[source]
+)[source]
 
          Compute the PLU decomposition of the matrix.
          
 
          
 
          Parameters:
          
@@ -1843,7 +1843,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Solve the linear system Ax = rhs for x where A = M.
          
 
          This is for symbolic matrices, for real or complex ones use
 mpmath.lu_solve or mpmath.qr_solve.
          
@@ -1855,7 +1855,7 @@ 
          Matrix Base Classes
 
          
-QRdecomposition()[source]
          
+QRdecomposition()[source]
 
          Returns a QR decomposition.
          
 
          Explanation
          
 
          A QR decomposition is a decomposition in the form \(A = Q R\)
@@ -2027,7 +2027,7 @@ 
          Matrix Base Classes
 
          
-QRsolve(b)[source]
          
+QRsolve(b)[source]
 
          Solve the linear system Ax = b.
          
 
          M is the matrix A, the method argument is the vector
 b.  The method returns the solution vector x.  If b is a
@@ -2053,19 +2053,19 @@ 
          Matrix Base Classes
 
          
-__abs__()[source]
          
+__abs__()[source]
 
          Returns a new matrix with entry-wise absolute values.
          
 
          
 
 
          
 
          
-__add__(other)[source]
          
+__add__(other)[source]
 
          Return self + other, raising ShapeError if shapes do not match.
          
 
          
 
 
          
 
          
-__getitem__(key)[source]
          
+__getitem__(key)[source]
 
          Implementations of __getitem__ should accept ints, in which
 case the matrix is indexed as a flat list, tuples (i,j) in which
 case the (i,j) entry is returned, slices, or mixed tuples (a,b)
@@ -2074,14 +2074,14 @@ 
          Matrix Base Classes
 
          
-__len__()[source]
          
+__len__()[source]
 
          Return the number of elements of self.
          
 
          Implemented mainly so bool(Matrix()) == False.
          
 
          
 
 
          
 
          
-__mul__(other)[source]
          
+__mul__(other)[source]
 
          Return self*other where other is either a scalar or a matrix
 of compatible dimensions.
          
 
          Examples
          
@@ -2109,7 +2109,7 @@ 
          Matrix Base Classes
 
          
-__pow__(exp)[source]
          
+__pow__(exp)[source]
 
          Return self**exp a scalar or symbol.
          
 
          
 
@@ -2121,19 +2121,19 @@ 
          Matrix Base Classes
 
          
-add(b)[source]
          
+add(b)[source]
 
          Return self + b.
          
 
          
 
 
          
 
          
-adjoint()[source]
          
+adjoint()[source]
 
          Conjugate transpose or Hermitian conjugation.
          
 
          
 
 
          
 
          
-adjugate(method='berkowitz')[source]
          
+adjugate(method='berkowitz')[source]
 
          Returns the adjugate, or classical adjoint, of
 a matrix.  That is, the transpose of the matrix of cofactors.
          
 
          https://en.wikipedia.org/wiki/Adjugate
          
@@ -2163,7 +2163,7 @@ 
          Matrix Base Classes
 
          
-analytic_func(f, x)[source]
          
+analytic_func(f, x)[source]
 
          Computes f(A) where A is a Square Matrix
 and f is an analytic function.
          
 
          
@@ -2195,7 +2195,7 @@ 
          Matrix Base Classes
 
          
-applyfunc(f)[source]
          
+applyfunc(f)[source]
 
          Apply a function to each element of the matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -2214,13 +2214,13 @@ 
          Matrix Base Classes
 
          
-as_real_imag(deep=True, **hints)[source]
          
+as_real_imag(deep=True, **hints)[source]
 
          Returns a tuple containing the (real, imaginary) part of matrix.
          
 
          
 
 
          
 
          
-atoms(*types)[source]
          
+atoms(*types)[source]
 
          Returns the atoms that form the current object.
          
 
          Examples
          
 
          >>> from sympy.abc import x, y
@@ -2241,7 +2241,7 @@ 
          Matrix Base Classes
 
          
-berkowitz_det()[source]
          
+berkowitz_det()[source]
 
          Computes determinant using Berkowitz method.
          
 
          
 
          See also
          
@@ -2251,19 +2251,19 @@ 
          Matrix Base Classes
 
          
-berkowitz_eigenvals(**flags)[source]
          
+berkowitz_eigenvals(**flags)[source]
 
          Computes eigenvalues of a Matrix using Berkowitz method.
          
 
          
 
 
          
 
          
-berkowitz_minors()[source]
          
+berkowitz_minors()[source]
 
          Computes principal minors using Berkowitz method.
          
 
          
 
 
          
 
          
-bidiagonal_decomposition(upper=True)[source]
          
+bidiagonal_decomposition(upper=True)[source]
 
          Returns \((U,B,V.H)\) for
          
 
          
 
          
@@ -2295,7 +2295,7 @@ 
          Matrix Base Classes
 
          
-bidiagonalize(upper=True)[source]
          
+bidiagonalize(upper=True)[source]
 
          Returns \(B\), the Bidiagonalized form of the input matrix.
          
 
          Note: Bidiagonal Computation can hang for symbolic matrices.
          
 
          
@@ -2328,7 +2328,7 @@ 
          Matrix Base Classessimplify=<function _simplify>,
          
 
          
 
-)[source]
+)[source]
 
          Computes characteristic polynomial det(x*I - M) where I is
 the identity matrix.
          
 
          A PurePoly is returned, so using different variables for x does
@@ -2397,7 +2397,7 @@ 
          Matrix Base Classes
 
          
-cholesky(hermitian=True)[source]
          
+cholesky(hermitian=True)[source]
 
          Returns the Cholesky-type decomposition L of a matrix A
 such that L * L.H == A if hermitian flag is True,
 or L * L.T == A if hermitian is False.
          
@@ -2451,7 +2451,7 @@ 
          Matrix Base Classes
 
          
-cholesky_solve(rhs)[source]
          
+cholesky_solve(rhs)[source]
 
          Solves Ax = B using Cholesky decomposition,
 for a general square non-singular matrix.
 For a non-square matrix with rows > cols,
@@ -2464,7 +2464,7 @@ 
          Matrix Base Classes
 
          
-cofactor(i, j, method='berkowitz')[source]
          
+cofactor(i, j, method='berkowitz')[source]
 
          Calculate the cofactor of an element.
          
 
          
 
          Parameters:
          
@@ -2490,7 +2490,7 @@ 
          Matrix Base Classes
 
          
-cofactor_matrix(method='berkowitz')[source]
          
+cofactor_matrix(method='berkowitz')[source]
 
          Return a matrix containing the cofactor of each element.
          
 
          
 
          Parameters:
          
@@ -2518,7 +2518,7 @@ 
          Matrix Base Classes
 
          
-col(j)[source]
          
+col(j)[source]
 
          Elementary column selector.
          
 
          Examples
          
 
          >>> from sympy import eye
@@ -2536,13 +2536,13 @@ 
          Matrix Base Classes
 
          
-col_del(col)[source]
          
+col_del(col)[source]
 
          Delete the specified column.
          
 
          
 
 
          
 
          
-col_insert(pos, other)[source]
          
+col_insert(pos, other)[source]
 
          Insert one or more columns at the given column position.
          
 
          Examples
          
 
          >>> from sympy import zeros, ones
@@ -2563,7 +2563,7 @@ 
          Matrix Base Classes
 
          
-col_join(other)[source]
          
+col_join(other)[source]
 
          Concatenates two matrices along self’s last and other’s first row.
          
 
          Examples
          
 
          >>> from sympy import zeros, ones
@@ -2585,7 +2585,7 @@ 
          Matrix Base Classes
 
          
-columnspace(simplify=False)[source]
          
+columnspace(simplify=False)[source]
 
          Returns a list of vectors (Matrix objects) that span columnspace of M
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -2613,7 +2613,7 @@ 
          Matrix Base Classes
 
          
-classmethod companion(poly)[source]
          
+classmethod companion(poly)[source]
 
          Returns a companion matrix of a polynomial.
          
 
          Examples
          
 
          >>> from sympy import Matrix, Poly, Symbol, symbols
@@ -2633,7 +2633,7 @@ 
          Matrix Base Classes
 
          
-condition_number()[source]
          
+condition_number()[source]
 
          Returns the condition number of a matrix.
          
 
          This is the maximum singular value divided by the minimum singular value
          
 
          Examples
          
@@ -2651,7 +2651,7 @@ 
          Matrix Base Classes
 
          
-conjugate()[source]
          
+conjugate()[source]
 
          Return the by-element conjugation.
          
 
          Examples
          
 
          >>> from sympy import SparseMatrix, I
@@ -2683,7 +2683,7 @@ 
          Matrix Base Classes
 
          
-connected_components()[source]
          
+connected_components()[source]
 
          Returns the list of connected vertices of the graph when
 a square matrix is viewed as a weighted graph.
          
 
          Examples
          
@@ -2711,7 +2711,7 @@ 
          Matrix Base Classes
 
          
-connected_components_decomposition()[source]
          
+connected_components_decomposition()[source]
 
          Decomposes a square matrix into block diagonal form only
 using the permutations.
          
 
          
@@ -2780,7 +2780,7 @@ 
          Matrix Base Classes
 
          
-copy()[source]
          
+copy()[source]
 
          Returns the copy of a matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -2795,7 +2795,7 @@ 
          Matrix Base Classes
 
          
-cramer_solve(rhs, det_method='laplace')[source]
          
+cramer_solve(rhs, det_method='laplace')[source]
 
          Solves system of linear equations using Cramer’s rule.
          
 
          This method is relatively inefficient compared to other methods.
 However it only uses a single division, assuming a division-free determinant
@@ -2849,7 +2849,7 @@ 
          Matrix Base Classes
 
          
-cross(b)[source]
          
+cross(b)[source]
 
          Return the cross product of self and b relaxing the condition
 of compatible dimensions: if each has 3 elements, a matrix of the
 same type and shape as self will be returned. If b has the same
@@ -2868,7 +2868,7 @@ 
          Matrix Base Classes
 
          
-det(method='bareiss', iszerofunc=None)[source]
          
+det(method='bareiss', iszerofunc=None)[source]
 
          Computes the determinant of a matrix if M is a concrete matrix object
 otherwise return an expressions Determinant(M) if M is a
 MatrixSymbol or other expression.
          
@@ -2956,7 +2956,7 @@ 
          Matrix Base Classes
 
          
-det_LU_decomposition()[source]
          
+det_LU_decomposition()[source]
 
          Compute matrix determinant using LU decomposition.
          
 
          Note that this method fails if the LU decomposition itself
 fails. In particular, if the matrix has no inverse this method
@@ -2982,7 +2982,7 @@ 
          Matrix Base Classes**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns a matrix with the specified diagonal.
 If matrices are passed, a block-diagonal matrix
 is created (i.e. the “direct sum” of the matrices).
          
@@ -3066,7 +3066,7 @@ 
          Matrix Base Classes
 
          
-diagonal(k=0)[source]
          
+diagonal(k=0)[source]
 
          Returns the kth diagonal of self. The main diagonal
 corresponds to \(k=0\); diagonals above and below correspond to
 \(k > 0\) and \(k < 0\), respectively. The values of \(self[i, j]\)
@@ -3101,7 +3101,7 @@ 
          Matrix Base Classes
 
          
-diagonal_solve(rhs)[source]
          
+diagonal_solve(rhs)[source]
 
          Solves Ax = B efficiently, where A is a diagonal Matrix,
 with non-zero diagonal entries.
          
 
          Examples
          
@@ -3128,7 +3128,7 @@ 
          Matrix Base Classesnormalize=False,
          
 
          
 
-)[source]
+)[source]
 
          Return (P, D), where D is diagonal and
          
 
          
 
          D = P^-1 * M * P
          
@@ -3178,7 +3178,7 @@ 
          Matrix Base Classes
 
          
-diff(*args, evaluate=True, **kwargs)[source]
          
+diff(*args, evaluate=True, **kwargs)[source]
 
          Calculate the derivative of each element in the matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3206,7 +3206,7 @@ 
          Matrix Base Classesconjugate_convention=None,
          
 
          
 
-)[source]
+)[source]
 
          Return the dot or inner product of two vectors of equal length.
 Here self must be a Matrix of size 1 x n or n x 1, and b
 must be either a matrix of size 1 x n, n x 1, or a list/tuple of length n.
@@ -3256,7 +3256,7 @@ 
          Matrix Base Classes
 
          
-dual()[source]
          
+dual()[source]
 
          Returns the dual of a matrix.
          
 
          A dual of a matrix is:
          
 
          (1/2)*levicivita(i, j, k, l)*M(k, l) summed over indices \(k\) and \(l\)
          
@@ -3277,7 +3277,7 @@ 
          Matrix Base Classeswith_pivots=False,
          
 
          
 
-)[source]
+)[source]
 
          Returns a matrix row-equivalent to M that is in echelon form. Note
 that echelon form of a matrix is not unique, however, properties like the
 row space and the null space are preserved.
          
@@ -3301,7 +3301,7 @@ 
          Matrix Base Classes**flags,
          
 
          
 
-)[source]
+)[source]
 
          Compute eigenvalues of the matrix.
          
 
          
 
          Parameters:
          
@@ -3385,7 +3385,7 @@ 
          Matrix Base Classes**flags,
          
 
          
 
-)[source]
+)[source]
 
          Compute eigenvectors of the matrix.
          
 
          
 
          Parameters:
          
@@ -3471,7 +3471,7 @@ 
          Matrix Base Classescol2=None,
          
 
          
 
-)[source]
+)[source]
 
          Performs the elementary column operation \(op\).
          
 
          \(op\) may be one of
          
 
          
@@ -3507,7 +3507,7 @@ 
          Matrix Base Classesrow2=None,
          
 
          
 
-)[source]
+)[source]
 
          Performs the elementary row operation \(op\).
          
 
          \(op\) may be one of
          
 
          
@@ -3545,13 +3545,13 @@ 
          Matrix Base Classesverbose=False,
          
 
          
 
-)[source]
+)[source]
 
          Apply evalf() to each element of self.
          
 
          
 
 
          
 
          
-exp()[source]
          
+exp()[source]
 
          Return the exponential of a square matrix.
          
 
          Examples
          
 
          >>> from sympy import Symbol, Matrix
@@ -3583,7 +3583,7 @@ 
          Matrix Base Classes**hints,
          
 
          
 
-)[source]
+)[source]
 
          Apply core.function.expand to each entry of the matrix.
          
 
          Examples
          
 
          >>> from sympy.abc import x
@@ -3598,7 +3598,7 @@ 
          Matrix Base Classes
 
          
-extract(rowsList, colsList)[source]
          
+extract(rowsList, colsList)[source]
 
          Return a submatrix by specifying a list of rows and columns.
 Negative indices can be given. All indices must be in the range
 \(-n \le i < n\) where \(n\) is the number of rows or columns.
          
@@ -3647,7 +3647,7 @@ 
          Matrix Base Classes
 
          
-classmethod eye(rows, cols=None, **kwargs)[source]
          
+classmethod eye(rows, cols=None, **kwargs)[source]
 
          Returns an identity matrix.
          
 
          
 
          Parameters:
          
@@ -3661,7 +3661,7 @@ 
          Matrix Base Classes
 
          
-flat()[source]
          
+flat()[source]
 
          Returns a flat list of all elements in the matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3691,7 +3691,7 @@ 
          Matrix Base Classes
 
          
-classmethod from_dok(rows, cols, dok)[source]
          
+classmethod from_dok(rows, cols, dok)[source]
 
          Create a matrix from a dictionary of keys.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3707,7 +3707,7 @@ 
          Matrix Base Classes
 
          
-gauss_jordan_solve(B, freevar=False)[source]
          
+gauss_jordan_solve(B, freevar=False)[source]
 
          Solves Ax = B using Gauss Jordan elimination.
          
 
          There may be zero, one, or infinite solutions.  If one solution
 exists, it will be returned. If infinite solutions exist, it will
@@ -3833,7 +3833,7 @@ 
          Matrix Base Classes
 
          
-get_diag_blocks()[source]
          
+get_diag_blocks()[source]
 
          Obtains the square sub-matrices on the main diagonal of a square matrix.
          
 
          Useful for inverting symbolic matrices or solving systems of
 linear equations which may be decoupled by having a block diagonal
@@ -3857,7 +3857,7 @@ 
          Matrix Base Classes
 
          
-has(*patterns)[source]
          
+has(*patterns)[source]
 
          Test whether any subexpression matches any of the patterns.
          
 
          Examples
          
 
          >>> from sympy import Matrix, SparseMatrix, Float
@@ -3882,7 +3882,7 @@ 
          Matrix Base Classes
 
          
-hat()[source]
          
+hat()[source]
 
          Return the skew-symmetric matrix representing the cross product,
 so that self.hat() * b is equivalent to  self.cross(b).
          
 
          Examples
          
@@ -3921,7 +3921,7 @@ 
          Matrix Base Classes
 
          
-classmethod hstack(*args)[source]
          
+classmethod hstack(*args)[source]
 
          Return a matrix formed by joining args horizontally (i.e.
 by repeated application of row_join).
          
 
          Examples
          
@@ -3936,7 +3936,7 @@ 
          Matrix Base Classes
 
          
-integrate(*args, **kwargs)[source]
          
+integrate(*args, **kwargs)[source]
 
          Integrate each element of the matrix.  args will
 be passed to the integrate function.
          
 
          Examples
          
@@ -3969,7 +3969,7 @@ 
          Matrix Base Classestry_block_diag=False,
          
 
          
 
-)[source]
+)[source]
 
          Return the inverse of a matrix using the method indicated. The default
 is DM if a suitable domain is found or otherwise GE for dense matrices
 LDL for sparse matrices.
          
@@ -4058,7 +4058,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using the adjugate matrix and a determinant.
          
 
          
 
          See also
          
@@ -4074,7 +4074,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using BLOCKWISE inversion.
          
 
          
 
          See also
          
@@ -4090,7 +4090,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using cholesky decomposition.
          
 
          
 
          See also
          
@@ -4106,7 +4106,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using Gaussian elimination.
          
 
          
 
          See also
          
@@ -4122,7 +4122,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using LDL decomposition.
          
 
          
 
          See also
          
@@ -4138,7 +4138,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using LU decomposition.
          
 
          
 
          See also
          
@@ -4154,7 +4154,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Calculates the inverse using QR decomposition.
          
 
          
 
          See also
          
@@ -4164,7 +4164,7 @@ 
          Matrix Base Classes
 
          
-classmethod irregular(ntop, *matrices, **kwargs)[source]
          
+classmethod irregular(ntop, *matrices, **kwargs)[source]
 
          Return a matrix filled by the given matrices which
 are listed in order of appearance from left to right, top to
 bottom as they first appear in the matrix. They must fill the
@@ -4184,7 +4184,7 @@ 
          Matrix Base Classes
 
          
-is_anti_symmetric(simplify=True)[source]
          
+is_anti_symmetric(simplify=True)[source]
 
          Check if matrix M is an antisymmetric matrix,
 that is, M is a square matrix with all M[i, j] == -M[j, i].
          
 
          When simplify=True (default), the sum M[i, j] + M[j, i] is
@@ -4248,7 +4248,7 @@ 
          Matrix Base Classes
 
          
-is_diagonal()[source]
          
+is_diagonal()[source]
 
          Check if matrix is diagonal,
 that is matrix in which the entries outside the main diagonal are all zero.
          
 
          Examples
          
@@ -4296,7 +4296,7 @@ 
          Matrix Base Classes**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns True if a matrix is diagonalizable.
          
 
          
 
          Parameters:
          
@@ -4957,7 +4957,7 @@ 
          Matrix Base Classes
 
          
-is_nilpotent()[source]
          
+is_nilpotent()[source]
 
          Checks if a matrix is nilpotent.
          
 
          A matrix B is nilpotent if for some integer k, B**k is
 a zero matrix.
          
@@ -5375,7 +5375,7 @@ 
          Matrix Base Classes
 
          
-is_symbolic()[source]
          
+is_symbolic()[source]
 
          Checks if any elements contain Symbols.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -5389,7 +5389,7 @@ 
          Matrix Base Classes
 
          
-is_symmetric(simplify=True)[source]
          
+is_symmetric(simplify=True)[source]
 
          Check if matrix is symmetric matrix,
 that is square matrix and is equal to its transpose.
          
 
          By default, simplifications occur before testing symmetry.
@@ -5578,7 +5578,7 @@ 
          Matrix Base Classes
 
          
-iter_items()[source]
          
+iter_items()[source]
 
          Iterate over indices and values of nonzero items.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -5595,7 +5595,7 @@ 
          Matrix Base Classes
 
          
-iter_values()[source]
          
+iter_values()[source]
 
          Iterate over non-zero values of self.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -5612,7 +5612,7 @@ 
          Matrix Base Classes
 
          
-jacobian(X)[source]
          
+jacobian(X)[source]
 
          Calculates the Jacobian matrix (derivative of a vector-valued function).
          
 
          
 
          Parameters:
          
@@ -5657,7 +5657,7 @@ 
          Matrix Base Classes**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns a Jordan block
          
 
          
 
          Parameters:
          
@@ -5749,7 +5749,7 @@ 
          Matrix Base Classes**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Return \((P, J)\) where \(J\) is a Jordan block
 matrix and \(P\) is a matrix such that \(M = P J P^{-1}\)
          
 
          
@@ -5787,7 +5787,7 @@ 
          Matrix Base Classes
 
          
-key2bounds(keys)[source]
          
+key2bounds(keys)[source]
 
          Converts a key with potentially mixed types of keys (integer and slice)
 into a tuple of ranges and raises an error if any index is out of self’s
 range.
          
@@ -5799,7 +5799,7 @@ 
          Matrix Base Classes
 
          
-key2ij(key)[source]
          
+key2ij(key)[source]
 
          Converts key into canonical form, converting integers or indexable
 items into valid integers for self’s range or returning slices
 unchanged.
          
@@ -5811,7 +5811,7 @@ 
          Matrix Base Classes
 
          
-left_eigenvects(**flags)[source]
          
+left_eigenvects(**flags)[source]
 
          Returns left eigenvectors and eigenvalues.
          
 
          This function returns the list of triples (eigenval, multiplicity,
 basis) for the left eigenvectors. Options are the same as for
@@ -5840,7 +5840,7 @@ 
          Matrix Base Classes
 
          
-limit(*args)[source]
          
+limit(*args)[source]
 
          Calculate the limit of each element in the matrix.
 args will be passed to the limit function.
          
 
          Examples
          
@@ -5861,7 +5861,7 @@ 
          Matrix Base Classes
 
          
-log(simplify=<function cancel>)[source]
          
+log(simplify=<function cancel>)[source]
 
          Return the logarithm of a square matrix.
          
 
          
 
          Parameters:
          
@@ -5918,7 +5918,7 @@ 
          Matrix Base Classes
 
          
-lower_triangular(k=0)[source]
          
+lower_triangular(k=0)[source]
 
          Return the elements on and below the kth diagonal of a matrix.
 If k is not specified then simply returns lower-triangular portion
 of a matrix
          
@@ -5953,7 +5953,7 @@ 
          Matrix Base Classes
 
          
-lower_triangular_solve(rhs)[source]
          
+lower_triangular_solve(rhs)[source]
 
          Solves Ax = B, where A is a lower triangular matrix.
          
 
          
 
          See also
          
@@ -5963,7 +5963,7 @@ 
          Matrix Base Classes
 
          
-minor(i, j, method='berkowitz')[source]
          
+minor(i, j, method='berkowitz')[source]
 
          Return the (i,j) minor of M.  That is,
 return the determinant of the matrix obtained by deleting
 the \(i`th row and `j`th column from ``M`\).
          
@@ -5995,7 +5995,7 @@ 
          Matrix Base Classes
 
          
-minor_submatrix(i, j)[source]
          
+minor_submatrix(i, j)[source]
 
          Return the submatrix obtained by removing the \(i`th row
 and `j`th column from ``M`\) (works with Pythonic negative indices).
          
 
          
@@ -6023,7 +6023,7 @@ 
          Matrix Base Classes
 
          
-multiply(other, dotprodsimp=None)[source]
          
+multiply(other, dotprodsimp=None)[source]
 
          Same as __mul__() but with optional simplification.
          
 
          
 
          Parameters:
          
@@ -6039,7 +6039,7 @@ 
          Matrix Base Classes
 
          
-multiply_elementwise(other)[source]
          
+multiply_elementwise(other)[source]
 
          Return the Hadamard product (elementwise product) of A and B
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -6059,13 +6059,13 @@ 
          Matrix Base Classes
 
          
-n(*args, **kwargs)[source]
          
+n(*args, **kwargs)[source]
 
          Apply evalf() to each element of self.
          
 
          
 
 
          
 
          
-norm(ord=None)[source]
          
+norm(ord=None)[source]
 
          Return the Norm of a Matrix or Vector.
          
 
          In the simplest case this is the geometric size of the vector
 Other norms can be specified by the ord parameter
          
@@ -6162,7 +6162,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Return the normalized version of self.
          
 
          
 
          Parameters:
          
@@ -6203,7 +6203,7 @@ 
          Matrix Base Classesiszerofunc=<function _iszero>,
          
 
          
 
-)[source]
+)[source]
 
          Returns list of vectors (Matrix objects) that span nullspace of M
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -6228,7 +6228,7 @@ 
          Matrix Base Classes
 
          
-classmethod ones(rows, cols=None, **kwargs)[source]
          
+classmethod ones(rows, cols=None, **kwargs)[source]
 
          Returns a matrix of ones.
          
 
          
 
          Parameters:
          
@@ -6242,7 +6242,7 @@ 
          Matrix Base Classes
 
          
-classmethod orthogonalize(*vecs, **kwargs)[source]
          
+classmethod orthogonalize(*vecs, **kwargs)[source]
 
          Apply the Gram-Schmidt orthogonalization procedure
 to vectors supplied in vecs.
          
 
          
@@ -6296,7 +6296,7 @@ 
          Matrix Base Classes
 
          
-per()[source]
          
+per()[source]
 
          Returns the permanent of a matrix. Unlike determinant,
 permanent is defined for both square and non-square matrices.
          
 
          For an m x n matrix, with m less than or equal to n,
@@ -6349,7 +6349,7 @@ 
          Matrix Base Classesdirection='forward',
          
 
          
 
-)[source]
+)[source]
 
          Permute the rows or columns of a matrix by the given list of
 swaps.
          
 
          
@@ -6443,13 +6443,13 @@ 
          Matrix Base Classes
 
          
-permuteBkwd(perm)[source]
          
+permuteBkwd(perm)[source]
 
          Permute the rows of the matrix with the given permutation in reverse.
          
 
          
 
 
          
 
          
-permuteFwd(perm)[source]
          
+permuteFwd(perm)[source]
 
          Permute the rows of the matrix with the given permutation.
          
 
          
 
@@ -6462,7 +6462,7 @@ 
          Matrix Base Classesdirection='forward',
          
 
          
 
-)[source]
+)[source]
 
          Alias for
 self.permute(swaps, orientation='cols', direction=direction)
          
 
          
@@ -6480,7 +6480,7 @@ 
          Matrix Base Classesdirection='forward',
          
 
          
 
-)[source]
+)[source]
 
          Alias for
 self.permute(swaps, orientation='rows', direction=direction)
          
 
          
@@ -6491,7 +6491,7 @@ 
          Matrix Base Classes
 
          
-pinv(method='RD')[source]
          
+pinv(method='RD')[source]
 
          Calculate the Moore-Penrose pseudoinverse of the matrix.
          
 
          The Moore-Penrose pseudoinverse exists and is unique for any matrix.
 If the matrix is invertible, the pseudoinverse is the same as the
@@ -6542,7 +6542,7 @@ 
          Matrix Base Classes
 
          
-pinv_solve(B, arbitrary_matrix=None)[source]
          
+pinv_solve(B, arbitrary_matrix=None)[source]
 
          Solve Ax = B using the Moore-Penrose pseudoinverse.
          
 
          There may be zero, one, or infinite solutions.  If one solution
 exists, it will be returned.  If infinite solutions exist, one will
@@ -6613,7 +6613,7 @@ 
          Matrix Base Classes
 
          
-pow(exp, method=None)[source]
          
+pow(exp, method=None)[source]
 
          Return self**exp a scalar or symbol.
          
 
          
 
          Parameters:
          
@@ -6635,7 +6635,7 @@ 
          Matrix Base Classes
 
          
-print_nonzero(symb='X')[source]
          
+print_nonzero(symb='X')[source]
 
          Shows location of non-zero entries for fast shape lookup.
          
 
          Examples
          
 
          >>> from sympy import Matrix, eye
@@ -6659,7 +6659,7 @@ 
          Matrix Base Classes
 
          
-project(v)[source]
          
+project(v)[source]
 
          Return the projection of self onto the line containing v.
          
 
          Examples
          
 
          >>> from sympy import Matrix, S, sqrt
@@ -6682,7 +6682,7 @@ 
          Matrix Base Classessimplify=False,
          
 
          
 
-)[source]
+)[source]
 
          Returns the rank of a matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -6706,7 +6706,7 @@ 
          Matrix Base Classessimplify=False,
          
 
          
 
-)[source]
+)[source]
 
          Returns a pair of matrices (\(C\), \(F\)) with matching rank
 such that \(A = C F\).
          
 
          
@@ -6794,7 +6794,7 @@ 
          Matrix Base Classes
 
          
-refine(assumptions=True)[source]
          
+refine(assumptions=True)[source]
 
          Apply refine to each element of the matrix.
          
 
          Examples
          
 
          >>> from sympy import Symbol, Matrix, Abs, sqrt, Q
@@ -6823,7 +6823,7 @@ 
          Matrix Base Classesexact=None,
          
 
          
 
-)[source]
+)[source]
 
          Replaces Function F in Matrix entries with Function G.
          
 
          Examples
          
 
          >>> from sympy import symbols, Function, Matrix
@@ -6843,7 +6843,7 @@ 
          Matrix Base Classes
 
          
-reshape(rows, cols)[source]
          
+reshape(rows, cols)[source]
 
          Reshape the matrix. Total number of elements must remain the same.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -6865,7 +6865,7 @@ 
          Matrix Base Classes
 
          
-rmultiply(other, dotprodsimp=None)[source]
          
+rmultiply(other, dotprodsimp=None)[source]
 
          Same as __rmul__() but with optional simplification.
          
 
          
 
          Parameters:
          
@@ -6881,7 +6881,7 @@ 
          Matrix Base Classes
 
          
-rot90(k=1)[source]
          
+rot90(k=1)[source]
 
          Rotates Matrix by 90 degrees
          
 
          
 
          Parameters:
          
@@ -6919,7 +6919,7 @@ 
          Matrix Base Classes
 
          
-row(i)[source]
          
+row(i)[source]
 
          Elementary row selector.
          
 
          Examples
          
 
          >>> from sympy import eye
@@ -6935,13 +6935,13 @@ 
          Matrix Base Classes
 
          
-row_del(row)[source]
          
+row_del(row)[source]
 
          Delete the specified row.
          
 
          
 
 
          
 
          
-row_insert(pos, other)[source]
          
+row_insert(pos, other)[source]
 
          Insert one or more rows at the given row position.
          
 
          Examples
          
 
          >>> from sympy import zeros, ones
@@ -6963,7 +6963,7 @@ 
          Matrix Base Classes
 
          
-row_join(other)[source]
          
+row_join(other)[source]
 
          Concatenates two matrices along self’s last and rhs’s first column
          
 
          Examples
          
 
          >>> from sympy import zeros, ones
@@ -6984,7 +6984,7 @@ 
          Matrix Base Classes
 
          
-rowspace(simplify=False)[source]
          
+rowspace(simplify=False)[source]
 
          Returns a list of vectors that span the row space of M.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7011,7 +7011,7 @@ 
          Matrix Base Classesnormalize_last=True,
          
 
          
 
-)[source]
+)[source]
 
          Return reduced row-echelon form of matrix and indices
 of pivot vars.
          
 
          
@@ -7087,7 +7087,7 @@ 
          Matrix Base Classes
 
          
-rref_rhs(rhs)[source]
          
+rref_rhs(rhs)[source]
 
          Return reduced row-echelon form of matrix, matrix showing
 rhs after reduction steps. rhs must have the same number
 of rows as self.
          
@@ -7123,7 +7123,7 @@ 
          Matrix Base Classes
 
          
-simplify(**kwargs)[source]
          
+simplify(**kwargs)[source]
 
          Apply simplify to each element of the matrix.
          
 
          Examples
          
 
          >>> from sympy.abc import x, y
@@ -7138,7 +7138,7 @@ 
          Matrix Base Classes
 
          
-singular_value_decomposition()[source]
          
+singular_value_decomposition()[source]
 
          Returns a Condensed Singular Value decomposition.
          
 
          Explanation
          
 
          A Singular Value decomposition is a decomposition in the form \(A = U \Sigma V^H\)
@@ -7309,7 +7309,7 @@ 
          Matrix Base Classes
 
          
-singular_values()[source]
          
+singular_values()[source]
 
          Compute the singular values of a Matrix
          
 
          Examples
          
 
          >>> from sympy import Matrix, Symbol
@@ -7327,7 +7327,7 @@ 
          Matrix Base Classes
 
          
-solve(rhs, method='GJ')[source]
          
+solve(rhs, method='GJ')[source]
 
          Solves linear equation where the unique solution exists.
          
 
          
 
          Parameters:
          
@@ -7371,7 +7371,7 @@ 
          Matrix Base Classes
 
          
-solve_least_squares(rhs, method='CH')[source]
          
+solve_least_squares(rhs, method='CH')[source]
 
          Return the least-square fit to the data.
          
 
          
 
          Parameters:
          
@@ -7446,7 +7446,7 @@ 
          Matrix Base Classes
 
          
-strongly_connected_components()[source]
          
+strongly_connected_components()[source]
 
          Returns the list of strongly connected vertices of the graph when
 a square matrix is viewed as a weighted graph.
          
 
          Examples
          
@@ -7475,7 +7475,7 @@ 
          Matrix Base Classeslower=True,
          
 
          
 
-)[source]
+)[source]
 
          Decomposes a square matrix into block triangular form only
 using the permutations.
          
 
          
@@ -7576,7 +7576,7 @@ 
          Matrix Base Classes
 
          
-subs(*args, **kwargs)[source]
          
+subs(*args, **kwargs)[source]
 
          Return a new matrix with subs applied to each entry.
          
 
          Examples
          
 
          >>> from sympy.abc import x, y
@@ -7604,7 +7604,7 @@ 
          Matrix Base Classesalign='right',
          
 
          
 
-)[source]
+)[source]
 
          String form of Matrix as a table.
          
 
          printer is the printer to use for on the elements (generally
 something like StrPrinter())
          
@@ -7646,7 +7646,7 @@ 
          Matrix Base Classes
 
          
-todod()[source]
          
+todod()[source]
 
          Returns matrix as dict of dicts containing non-zero elements of the Matrix
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7663,7 +7663,7 @@ 
          Matrix Base Classes
 
          
-todok()[source]
          
+todok()[source]
 
          Return the matrix as dictionary of keys.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7676,7 +7676,7 @@ 
          Matrix Base Classes
 
          
-tolist()[source]
          
+tolist()[source]
 
          Return the Matrix as a nested Python list.
          
 
          Examples
          
 
          >>> from sympy import Matrix, ones
@@ -7702,7 +7702,7 @@ 
          Matrix Base Classes
 
          
-trace()[source]
          
+trace()[source]
 
          Returns the trace of a square matrix i.e. the sum of the
 diagonal elements.
          
 
          Examples
          
@@ -7716,7 +7716,7 @@ 
          Matrix Base Classes
 
          
-transpose()[source]
          
+transpose()[source]
 
          Returns the transpose of the matrix.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7752,7 +7752,7 @@ 
          Matrix Base Classes
 
          
-upper_hessenberg_decomposition()[source]
          
+upper_hessenberg_decomposition()[source]
 
          Converts a matrix into Hessenberg matrix H.
          
 
          Returns 2 matrices H, P s.t.
 \(P H P^{T} = A\), where H is an upper hessenberg matrix
@@ -7790,7 +7790,7 @@ 
          Matrix Base Classes
 
          
-upper_triangular(k=0)[source]
          
+upper_triangular(k=0)[source]
 
          Return the elements on and above the kth diagonal of a matrix.
 If k is not specified then simply returns upper-triangular portion
 of a matrix
          
@@ -7825,7 +7825,7 @@ 
          Matrix Base Classes
 
          
-upper_triangular_solve(rhs)[source]
          
+upper_triangular_solve(rhs)[source]
 
          Solves Ax = B, where A is an upper triangular matrix.
          
 
          
 
          See also
          
@@ -7835,7 +7835,7 @@ 
          Matrix Base Classes
 
          
-values()[source]
          
+values()[source]
 
          Return non-zero values of self.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7852,7 +7852,7 @@ 
          Matrix Base Classes
 
          
-vec()[source]
          
+vec()[source]
 
          Return the Matrix converted into a one column matrix by stacking columns
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -7884,7 +7884,7 @@ 
          Matrix Base Classescheck_symmetry=True,
          
 
          
 
-)[source]
+)[source]
 
          Reshapes the matrix into a column vector by stacking the
 elements in the lower triangle.
          
 
          
@@ -7927,7 +7927,7 @@ 
          Matrix Base Classes
 
          
-vee()[source]
          
+vee()[source]
 
          Return a 3x1 vector from a skew-symmetric matrix representing the cross product,
 so that self * b is equivalent to  self.vee().cross(b).
          
 
          Examples
          
@@ -7990,7 +7990,7 @@ 
          Matrix Base Classes
 
          
-classmethod vstack(*args)[source]
          
+classmethod vstack(*args)[source]
 
          Return a matrix formed by joining args vertically (i.e.
 by repeated application of col_join).
          
 
          Examples
          
@@ -8007,7 +8007,7 @@ 
          Matrix Base Classes
 
          
-classmethod wilkinson(n, **kwargs)[source]
          
+classmethod wilkinson(n, **kwargs)[source]
 
          Returns two square Wilkinson Matrix of size 2*n + 1
 \(W_{2n + 1}^-, W_{2n + 1}^+ =\) Wilkinson(n)
          
 
          Examples
          
@@ -8053,7 +8053,7 @@ 
          Matrix Base Classes
 
          
-xreplace(rule)[source]
          
+xreplace(rule)[source]
 
          Return a new matrix with xreplace applied to each entry.
          
 
          Examples
          
 
          >>> from sympy.abc import x, y
@@ -8070,7 +8070,7 @@ 
          Matrix Base Classes
 
          
-classmethod zeros(rows, cols=None, **kwargs)[source]
          
+classmethod zeros(rows, cols=None, **kwargs)[source]
 
          Returns a matrix of zeros.
          
 
          
 
          Parameters:
          
@@ -8089,18 +8089,18 @@ 
          Matrix Base Classes
          
 
          
 
          
-class sympy.matrices.matrixbase.MatrixError[source]
          
+class sympy.matrices.matrixbase.MatrixError[source]
 
          
 
 
          
 
          
-class sympy.matrices.matrixbase.ShapeError[source]
          
+class sympy.matrices.matrixbase.ShapeError[source]
 
          Wrong matrix shape
          
 
          
 
 
          
 
          
-class sympy.matrices.matrixbase.NonSquareMatrixError[source]
          
+class sympy.matrices.matrixbase.NonSquareMatrixError[source]
 
          
 
 
@@ -8108,7 +8108,7 @@ 
          Matrix Exceptions
          
 
          
 
          
-sympy.matrices.dense.matrix_multiply_elementwise(A, B)[source]
          
+sympy.matrices.dense.matrix_multiply_elementwise(A, B)[source]
 
          Return the Hadamard product (elementwise product) of A and B
          
 
          >>> from sympy import Matrix, matrix_multiply_elementwise
 >>> A = Matrix([[0, 1, 2], [3, 4, 5]])
@@ -8127,7 +8127,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.zeros(*args, **kwargs)[source]
          
+sympy.matrices.dense.zeros(*args, **kwargs)[source]
 
          Returns a matrix of zeros with rows rows and cols columns;
 if cols is omitted a square matrix will be returned.
          
 
          
@@ -8138,7 +8138,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.ones(*args, **kwargs)[source]
          
+sympy.matrices.dense.ones(*args, **kwargs)[source]
 
          Returns a matrix of ones with rows rows and cols columns;
 if cols is omitted a square matrix will be returned.
          
 
          
@@ -8149,7 +8149,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.eye(*args, **kwargs)[source]
          
+sympy.matrices.dense.eye(*args, **kwargs)[source]
 
          Create square identity matrix n x n
          
 
          
 
          See also
          
@@ -8159,7 +8159,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.diag(*values, strict=True, unpack=False, **kwargs)[source]
          
+sympy.matrices.dense.diag(*values, strict=True, unpack=False, **kwargs)[source]
 
          Returns a matrix with the provided values placed on the
 diagonal. If non-square matrices are included, they will
 produce a block-diagonal matrix.
          
@@ -8193,7 +8193,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.jordan_cell(eigenval, n)[source]
          
+sympy.matrices.dense.jordan_cell(eigenval, n)[source]
 
          Create a Jordan block:
          
 
          Examples
          
 
          >>> from sympy import jordan_cell
@@ -8210,7 +8210,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.hessian(f, varlist, constraints=())[source]
          
+sympy.matrices.dense.hessian(f, varlist, constraints=())[source]
 
          Compute Hessian matrix for a function f wrt parameters in varlist
 which may be given as a sequence or a row/column vector. A list of
 constraints may optionally be given.
          
@@ -8255,7 +8255,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.GramSchmidt(vlist, orthonormal=False)[source]
          
+sympy.matrices.dense.GramSchmidt(vlist, orthonormal=False)[source]
 
          Apply the Gram-Schmidt process to a set of vectors.
          
 
          
 
          Parameters:
          
@@ -8295,7 +8295,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.wronskian(functions, var, method='bareiss')[source]
          
+sympy.matrices.dense.wronskian(functions, var, method='bareiss')[source]
 
          Compute Wronskian for [] of functions
          
 
                           | f1       f2        ...   fn      |
                  | f1'      f2'       ...   fn'     |
@@ -8315,7 +8315,7 @@ 
          Matrix Functions
 
          
-sympy.matrices.dense.casoratian(seqs, n, zero=True)[source]
          
+sympy.matrices.dense.casoratian(seqs, n, zero=True)[source]
 
          Given linear difference operator L of order ‘k’ and homogeneous
 equation Ly = 0 we want to compute kernel of L, which is a set
 of ‘k’ sequences: a(n), b(n), … z(n).
          
@@ -8359,7 +8359,7 @@ 
          Matrix Functionsprng=None,
          
 
          
 
-)[source]
+)[source]
 
          Create random matrix with dimensions r x c. If c is omitted
 the matrix will be square. If symmetric is True the matrix must be
 square. If percent is less than 100 then only approximately the given
@@ -8411,7 +8411,7 @@ 
          Matrix Functions
          
 
          
 
          
-sympy.matrices.dense.rot_givens(i, j, theta, dim=3)[source]
          
+sympy.matrices.dense.rot_givens(i, j, theta, dim=3)[source]
 
          Returns a a Givens rotation matrix, a a rotation in the
 plane spanned by two coordinates axes.
          
 
          
@@ -8514,7 +8514,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_axis1(theta)[source]
          
+sympy.matrices.dense.rot_axis1(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 1-axis.
          
 
          Explanation
          
@@ -8566,7 +8566,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_axis2(theta)[source]
          
+sympy.matrices.dense.rot_axis2(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 2-axis.
          
 
          Explanation
          
@@ -8618,7 +8618,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_axis3(theta)[source]
          
+sympy.matrices.dense.rot_axis3(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 3-axis.
          
 
          Explanation
          
@@ -8670,7 +8670,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_ccw_axis1(theta)[source]
          
+sympy.matrices.dense.rot_ccw_axis1(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 1-axis.
          
 
          Explanation
          
@@ -8722,7 +8722,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_ccw_axis2(theta)[source]
          
+sympy.matrices.dense.rot_ccw_axis2(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 2-axis.
          
 
          Explanation
          
@@ -8774,7 +8774,7 @@ 
          Rotation matrices
 
          
-sympy.matrices.dense.rot_ccw_axis3(theta)[source]
          
+sympy.matrices.dense.rot_ccw_axis3(theta)[source]
 
          Returns a rotation matrix for a rotation of theta (in radians)
 about the 3-axis.
          
 
          Explanation
          
@@ -8829,7 +8829,7 @@ 
          Rotation matrices
          
 
          
 
          
-sympy.matrices.dense.list2numpy(l, dtype=<class 'object'>)[source]
          
+sympy.matrices.dense.list2numpy(l, dtype=<class 'object'>)[source]
 
          Converts Python list of SymPy expressions to a NumPy array.
          
 
          
 
          See also
          
@@ -8839,7 +8839,7 @@ 
          Numpy Utility Functions
 
          
-sympy.matrices.dense.matrix2numpy(m, dtype=<class 'object'>)[source]
          
+sympy.matrices.dense.matrix2numpy(m, dtype=<class 'object'>)[source]
 
          Converts SymPy’s matrix to a NumPy array.
          
 
          
 
          See also
          
@@ -8849,7 +8849,7 @@ 
          Numpy Utility Functions
 
          
-sympy.matrices.dense.symarray(prefix, shape, **kwargs)[source]
          
+sympy.matrices.dense.symarray(prefix, shape, **kwargs)[source]
 
          Create a numpy ndarray of symbols (as an object array).
          
 
          The created symbols are named prefix_i1_i2_…  You should thus provide a
 non-empty prefix if you want your symbols to be unique for different output
@@ -8918,7 +8918,7 @@ 
          Numpy Utility Functions
 
          
-sympy.matrices.matrixbase.a2idx(j, n=None)[source]
          
+sympy.matrices.matrixbase.a2idx(j, n=None)[source]
 
          Return integer after making positive and validating against n.
          
 
          
 
diff --git a/dev/modules/matrices/normalforms.html b/dev/modules/matrices/normalforms.html
index 69810a3ef07..a43fb6cebbd 100644
--- a/dev/modules/matrices/normalforms.html
+++ b/dev/modules/matrices/normalforms.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Matrix Normal Forms
          
 
          
 
          
-sympy.matrices.normalforms.smith_normal_form(m, domain=None)[source]
          
+sympy.matrices.normalforms.smith_normal_form(m, domain=None)[source]
 
          Return the Smith Normal Form of a matrix \(m\) over the ring \(domain\).
 This will only work if the ring is a principal ideal domain.
          
 
          Examples
          
@@ -826,7 +826,7 @@ 
          Documentation Version
          
 
          check_rank=False,
          
 
          
 
-)[source]
+)[source]
 
          Compute the Hermite Normal Form of a Matrix A of integers.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/matrices/sparse.html b/dev/modules/matrices/sparse.html
index 9bb3a8bcfea..4296e023df4 100644
--- a/dev/modules/matrices/sparse.html
+++ b/dev/modules/matrices/sparse.html
@@ -804,13 +804,13 @@ 
          Documentation Version
          
 
          SparseMatrix Class Reference
          
 
          
 
          
-sympy.matrices.sparse.SparseMatrix[source]
          
+sympy.matrices.sparse.SparseMatrix[source]
 
          alias of MutableSparseMatrix
          
 
          
 
 
          
 
          
-class sympy.matrices.sparse.MutableSparseMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.sparse.MutableSparseMatrix(*args, **kwargs)[source]
 
          
 
 
@@ -818,7 +818,7 @@ 
          SparseMatrix Class Reference
          
 
          
 
          
-class sympy.matrices.immutable.ImmutableSparseMatrix(*args, **kwargs)[source]
          
+class sympy.matrices.immutable.ImmutableSparseMatrix(*args, **kwargs)[source]
 
          Create an immutable version of a sparse matrix.
          
 
          Examples
          
 
          >>> from sympy import eye, ImmutableSparseMatrix
diff --git a/dev/modules/matrices/sparsetools.html b/dev/modules/matrices/sparsetools.html
index efcbf81518c..e0ef01a9169 100644
--- a/dev/modules/matrices/sparsetools.html
+++ b/dev/modules/matrices/sparsetools.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Sparse Tools
          
 
          
 
          
-sympy.matrices.sparsetools._doktocsr()[source]
          
+sympy.matrices.sparsetools._doktocsr()[source]
 
          Converts a sparse matrix to Compressed Sparse Row (CSR) format.
          
 
          
 
          Parameters:
          
@@ -829,7 +829,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.matrices.sparsetools._csrtodok()[source]
          
+sympy.matrices.sparsetools._csrtodok()[source]
 
          Converts a CSR representation to DOK representation.
          
 
          Examples
          
 
          >>> from sympy.matrices.sparsetools import _csrtodok
@@ -845,7 +845,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.matrices.sparsetools.banded(**kwargs)[source]
          
+sympy.matrices.sparsetools.banded(**kwargs)[source]
 
          Returns a SparseMatrix from the given dictionary describing
 the diagonals of the matrix. The keys are positive for upper
 diagonals and negative for those below the main diagonal. The
diff --git a/dev/modules/ntheory.html b/dev/modules/ntheory.html
index 9eeaa4daa8c..41cf20efee8 100644
--- a/dev/modules/ntheory.html
+++ b/dev/modules/ntheory.html
@@ -804,7 +804,7 @@ 
          Documentation Version
          
 
          Ntheory Class Reference
          
 
          
 
          
-class sympy.ntheory.generate.Sieve(sieve_interval=1000000)[source]
          
+class sympy.ntheory.generate.Sieve(sieve_interval=1000000)[source]
 
          A list of prime numbers, implemented as a dynamically
 growing sieve of Eratosthenes. When a lookup is requested involving
 an odd number that has not been sieved, the sieve is automatically
@@ -821,7 +821,7 @@ 
          Ntheory Class Reference
 
          
 
          
-extend(n)[source]
          
+extend(n)[source]
 
          Grow the sieve to cover all primes <= n.
          
 
          Examples
          
 
          >>> from sympy import sieve
@@ -835,7 +835,7 @@ 
          Ntheory Class Reference
 
          
-extend_to_no(i)[source]
          
+extend_to_no(i)[source]
 
          Extend to include the ith prime number.
          
 
          
 
          Parameters:
          
@@ -857,7 +857,7 @@ 
          Ntheory Class Reference
 
          
-mobiusrange(a, b)[source]
          
+mobiusrange(a, b)[source]
 
          Generate all mobius numbers for the range [a, b).
          
 
          
 
          Parameters:
          
@@ -881,7 +881,7 @@ 
          Ntheory Class Reference
 
          
-primerange(a, b=None)[source]
          
+primerange(a, b=None)[source]
 
          Generate all prime numbers in the range [2, a) or [a, b).
          
 
          Examples
          
 
          >>> from sympy import sieve, prime
@@ -906,7 +906,7 @@ 
          Ntheory Class Reference
 
          
-search(n)[source]
          
+search(n)[source]
 
          Return the indices i, j of the primes that bound n.
          
 
          If n is prime then i == j.
          
 
          Although n can be an expression, if ceiling cannot convert
@@ -923,7 +923,7 @@ 
          Ntheory Class Reference
 
          
-totientrange(a, b)[source]
          
+totientrange(a, b)[source]
 
          Generate all totient numbers for the range [a, b).
          
 
          Examples
          
 
          >>> from sympy import sieve
@@ -940,7 +940,7 @@ 
          Ntheory Class ReferenceNtheory Functions Reference
          
 
          
 
          
-sympy.ntheory.generate.prime(nth)[source]
          
+sympy.ntheory.generate.prime(nth)[source]
 
          Return the nth prime, with the primes indexed as prime(1) = 2,
 prime(2) = 3, etc…. The nth prime is approximately \(n\log(n)\).
          
 
          Logarithmic integral of \(x\) is a pretty nice approximation for number of
@@ -997,7 +997,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.primepi(n)[source]
          
+sympy.ntheory.generate.primepi(n)[source]
 
          Represents the prime counting function pi(n) = the number
 of prime numbers less than or equal to n.
          
 
          
@@ -1073,7 +1073,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.nextprime(n, ith=1)[source]
          
+sympy.ntheory.generate.nextprime(n, ith=1)[source]
 
          Return the ith prime greater than n.
          
 
          
 
          Parameters:
          
@@ -1114,7 +1114,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.prevprime(n)[source]
          
+sympy.ntheory.generate.prevprime(n)[source]
 
          Return the largest prime smaller than n.
          
 
          Notes
          
 
          Potential primes are located at 6*j +/- 1. This
@@ -1137,7 +1137,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.primerange(a, b=None)[source]
          
+sympy.ntheory.generate.primerange(a, b=None)[source]
 
          Generate a list of all prime numbers in the range [2, a),
 or [a, b).
          
 
          If the range exists in the default sieve, the values will
@@ -1234,7 +1234,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.randprime(a, b)[source]
          
+sympy.ntheory.generate.randprime(a, b)[source]
 
          Return a random prime number in the range [a, b).
          
 
          Bertrand’s postulate assures that
 randprime(a, 2*a) will always succeed for a > 1.
          
@@ -1269,7 +1269,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.primorial(n, nth=True)[source]
          
+sympy.ntheory.generate.primorial(n, nth=True)[source]
 
          Returns the product of the first n primes (default) or
 the primes less than or equal to n (when nth=False).
          
 
          Examples
          
@@ -1320,7 +1320,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.cycle_length(f, x0, nmax=None, values=False)[source]
          
+sympy.ntheory.generate.cycle_length(f, x0, nmax=None, values=False)[source]
 
          For a given iterated sequence, return a generator that gives
 the length of the iterated cycle (lambda) and the length of terms
 before the cycle begins (mu); if values is True then the
@@ -1373,7 +1373,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.composite(nth)[source]
          
+sympy.ntheory.generate.composite(nth)[source]
 
          Return the nth composite number, with the composite numbers indexed as
 composite(1) = 4, composite(2) = 6, etc….
          
 
          Examples
          
@@ -1405,7 +1405,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.generate.compositepi(n)[source]
          
+sympy.ntheory.generate.compositepi(n)[source]
 
          Return the number of positive composite numbers less than or equal to n.
 The first positive composite is 4, i.e. compositepi(4) = 1.
          
 
          Examples
          
@@ -1435,7 +1435,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.smoothness(n)[source]
          
+sympy.ntheory.factor_.smoothness(n)[source]
 
          Return the B-smooth and B-power smooth values of n.
          
 
          The smoothness of n is the largest prime factor of n; the power-
 smoothness is the largest divisor raised to its multiplicity.
          
@@ -1457,7 +1457,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.smoothness_p(n, m=-1, power=0, visual=None)[source]
          
+sympy.ntheory.factor_.smoothness_p(n, m=-1, power=0, visual=None)[source]
 
          Return a list of [m, (p, (M, sm(p + m), psm(p + m)))…]
 where:
          
 
            
@@ -1550,7 +1550,7 @@ 
            Ntheory Functions Reference
 
            
-sympy.ntheory.factor_.multiplicity(p, n)[source]
            
+sympy.ntheory.factor_.multiplicity(p, n)[source]
 
            Find the greatest integer m such that p**m divides n.
            
 
            Examples
            
 
            >>> from sympy import multiplicity, Rational
@@ -1591,7 +1591,7 @@ 
            Ntheory Functions Referencefactor=True,
            
 
          
 
-)[source]
+)[source]
 
          Return (b, e) such that n == b**e if n is a unique
 perfect power with e > 1, else False (e.g. 1 is not a
 perfect power). A ValueError is raised if n is not Rational.
          
@@ -1667,7 +1667,7 @@ 
          Ntheory Functions ReferenceF=None,
          
 
          
 
-)[source]
+)[source]
 
          Use Pollard’s rho method to try to extract a nontrivial factor
 of n. The returned factor may be a composite number. If no
 factor is found, None is returned.
          
@@ -1753,7 +1753,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.pollard_pm1(n, B=10, a=2, retries=0, seed=1234)[source]
          
+sympy.ntheory.factor_.pollard_pm1(n, B=10, a=2, retries=0, seed=1234)[source]
 
          Use Pollard’s p-1 method to try to extract a nontrivial factor
 of n. Either a divisor (perhaps composite) or None is returned.
          
 
          The value of a is the base that is used in the test gcd(a**M - 1, n).
@@ -1898,7 +1898,7 @@ 
          Ntheory Functions Referencemultiple=False,
          
 
          
 
-)[source]
+)[source]
 
          Given a positive integer n, factorint(n) returns a dict containing
 the prime factors of n as keys and their respective multiplicities
 as values. For example:
          
@@ -2075,7 +2075,7 @@ 
          Ntheory Functions Referencemultiple=False,
          
 
          
 
-)[source]
+)[source]
 
          Given a Rational r, factorrat(r) returns a dict containing
 the prime factors of r as keys and their respective multiplicities
 as values. For example:
          
@@ -2112,7 +2112,7 @@ 
          Ntheory Functions Reference**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Return a sorted list of n’s prime factors, ignoring multiplicity
 and any composite factor that remains if the limit was set too low
 for complete factorization. Unlike factorint(), primefactors() does
@@ -2161,7 +2161,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.divisors(n, generator=False, proper=False)[source]
          
+sympy.ntheory.factor_.divisors(n, generator=False, proper=False)[source]
 
          Return all divisors of n sorted from 1..n by default.
 If generator is True an unordered generator is returned.
          
 
          The number of divisors of n can be quite large if there are many
@@ -2190,7 +2190,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.proper_divisors(n, generator=False)[source]
          
+sympy.ntheory.factor_.proper_divisors(n, generator=False)[source]
 
          Return all divisors of n except n, sorted by default.
 If generator is True an unordered generator is returned.
          
 
          Examples
          
@@ -2211,7 +2211,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.divisor_count(n, modulus=1, proper=False)[source]
          
+sympy.ntheory.factor_.divisor_count(n, modulus=1, proper=False)[source]
 
          Return the number of divisors of n. If modulus is not 1 then only
 those that are divisible by modulus are counted. If proper is True
 then the divisor of n will not be counted.
          
@@ -2233,7 +2233,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.proper_divisor_count(n, modulus=1)[source]
          
+sympy.ntheory.factor_.proper_divisor_count(n, modulus=1)[source]
 
          Return the number of proper divisors of n.
          
 
          Examples
          
 
          >>> from sympy import proper_divisor_count
@@ -2251,7 +2251,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.udivisors(n, generator=False)[source]
          
+sympy.ntheory.factor_.udivisors(n, generator=False)[source]
 
          Return all unitary divisors of n sorted from 1..n by default.
 If generator is True an unordered generator is returned.
          
 
          The number of unitary divisors of n can be quite large if there are many
@@ -2288,7 +2288,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.udivisor_count(n)[source]
          
+sympy.ntheory.factor_.udivisor_count(n)[source]
 
          Return the number of unitary divisors of n.
          
 
          
 
          Parameters:
          
@@ -2316,7 +2316,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.antidivisors(n, generator=False)[source]
          
+sympy.ntheory.factor_.antidivisors(n, generator=False)[source]
 
          Return all antidivisors of n sorted from 1..n by default.
          
 
          Antidivisors [R661] of n are numbers that do not divide n by the largest
 possible margin.  If generator is True an unordered generator is returned.
          
@@ -2346,7 +2346,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.antidivisor_count(n)[source]
          
+sympy.ntheory.factor_.antidivisor_count(n)[source]
 
          Return the number of antidivisors [R662] of n.
          
 
          
 
          Parameters:
          
@@ -2377,7 +2377,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.totient(n)[source]
          
+sympy.ntheory.factor_.totient(n)[source]
 
          Calculate the Euler totient function phi(n)
          
 
          
 
          Deprecated since version 1.13: The totient function is deprecated. Use sympy.functions.combinatorial.numbers.totient
@@ -2420,7 +2420,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.reduced_totient(n)[source]
          
+sympy.ntheory.factor_.reduced_totient(n)[source]
 
          Calculate the Carmichael reduced totient function lambda(n)
          
 
          
 
          Deprecated since version 1.13: The reduced_totient function is deprecated. Use sympy.functions.combinatorial.numbers.reduced_totient
@@ -2458,7 +2458,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.divisor_sigma(n, k=1)[source]
          
+sympy.ntheory.factor_.divisor_sigma(n, k=1)[source]
 
          Calculate the divisor function \(\sigma_k(n)\) for positive integer n
          
 
          
 
          Deprecated since version 1.13: The divisor_sigma function is deprecated. Use sympy.functions.combinatorial.numbers.divisor_sigma
@@ -2517,7 +2517,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.udivisor_sigma(n, k=1)[source]
          
+sympy.ntheory.factor_.udivisor_sigma(n, k=1)[source]
 
          Calculate the unitary divisor function \(\sigma_k^*(n)\) for positive integer n
          
 
          
 
          Deprecated since version 1.13: The udivisor_sigma function is deprecated. Use sympy.functions.combinatorial.numbers.udivisor_sigma
@@ -2573,7 +2573,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.core(n, t=2)[source]
          
+sympy.ntheory.factor_.core(n, t=2)[source]
 
          Calculate core(n, t) = \(core_t(n)\) of a positive integer n
          
 
          core_2(n) is equal to the squarefree part of n
          
 
          If n’s prime factorization is:
          
@@ -2625,7 +2625,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.digits(n, b=10, digits=None)[source]
          
+sympy.ntheory.factor_.digits(n, b=10, digits=None)[source]
 
          Return a list of the digits of n in base b. The first
 element in the list is b (or -b if n is negative).
          
 
          
@@ -2675,7 +2675,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.primenu(n)[source]
          
+sympy.ntheory.factor_.primenu(n)[source]
 
          Calculate the number of distinct prime factors for a positive integer n.
          
 
          
 
          Deprecated since version 1.13: The primenu function is deprecated. Use sympy.functions.combinatorial.numbers.primenu
@@ -2715,7 +2715,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.primeomega(n)[source]
          
+sympy.ntheory.factor_.primeomega(n)[source]
 
          Calculate the number of prime factors counting multiplicities for a
 positive integer n.
          
 
          
@@ -2756,7 +2756,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.mersenne_prime_exponent(nth)[source]
          
+sympy.ntheory.factor_.mersenne_prime_exponent(nth)[source]
 
          Returns the exponent i for the nth Mersenne prime (which
 has the form \(2^i - 1\)).
          
 
          Examples
          
@@ -2771,7 +2771,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.is_perfect(n)[source]
          
+sympy.ntheory.factor_.is_perfect(n)[source]
 
          Returns True if n is a perfect number, else False.
          
 
          A perfect number is equal to the sum of its positive, proper divisors.
          
 
          Examples
          
@@ -2800,7 +2800,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.abundance(n)[source]
          
+sympy.ntheory.factor_.abundance(n)[source]
 
          Returns the difference between the sum of the positive
 proper divisors of a number and the number.
          
 
          Examples
          
@@ -2819,7 +2819,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.is_abundant(n)[source]
          
+sympy.ntheory.factor_.is_abundant(n)[source]
 
          Returns True if n is an abundant number, else False.
          
 
          A abundant number is smaller than the sum of its positive proper divisors.
          
 
          Examples
          
@@ -2841,7 +2841,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.is_deficient(n)[source]
          
+sympy.ntheory.factor_.is_deficient(n)[source]
 
          Returns True if n is a deficient number, else False.
          
 
          A deficient number is greater than the sum of its positive proper divisors.
          
 
          Examples
          
@@ -2863,7 +2863,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.is_amicable(m, n)[source]
          
+sympy.ntheory.factor_.is_amicable(m, n)[source]
 
          Returns True if the numbers \(m\) and \(n\) are “amicable”, else False.
          
 
          Amicable numbers are two different numbers so related that the sum
 of the proper divisors of each is equal to that of the other.
          
@@ -2887,7 +2887,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.is_carmichael(n)[source]
          
+sympy.ntheory.factor_.is_carmichael(n)[source]
 
          Returns True if the numbers \(n\) is Carmichael number, else False.
          
 
          
 
          Parameters:
          
@@ -2909,7 +2909,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.find_carmichael_numbers_in_range(x, y)[source]
          
+sympy.ntheory.factor_.find_carmichael_numbers_in_range(x, y)[source]
 
          Returns a list of the number of Carmichael in the range
          
 
          
 
          See also
          
@@ -2919,7 +2919,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.factor_.find_first_n_carmichaels(n)[source]
          
+sympy.ntheory.factor_.find_first_n_carmichaels(n)[source]
 
          Returns the first n Carmichael numbers.
          
 
          
 
          Parameters:
          
@@ -2934,7 +2934,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.modular.symmetric_residue(a, m)[source]
          
+sympy.ntheory.modular.symmetric_residue(a, m)[source]
 
          Return the residual mod m such that it is within half of the modulus.
          
 
          >>> from sympy.ntheory.modular import symmetric_residue
 >>> symmetric_residue(1, 6)
@@ -2947,7 +2947,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.modular.crt(m, v, symmetric=False, check=True)[source]
          
+sympy.ntheory.modular.crt(m, v, symmetric=False, check=True)[source]
 
          Chinese Remainder Theorem.
          
 
          The moduli in m are assumed to be pairwise coprime.  The output
 is then an integer f, such that f = v_i mod m_i for each pair out
@@ -3003,7 +3003,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.modular.crt1(m)[source]
          
+sympy.ntheory.modular.crt1(m)[source]
 
          First part of Chinese Remainder Theorem, for multiple application.
          
 
          Examples
          
 
          >>> from sympy.ntheory.modular import crt, crt1, crt2
@@ -3043,7 +3043,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.modular.crt2(m, v, mm, e, s, symmetric=False)[source]
          
+sympy.ntheory.modular.crt2(m, v, mm, e, s, symmetric=False)[source]
 
          Second part of Chinese Remainder Theorem, for multiple application.
          
 
          See crt1 for usage.
          
 
          Examples
          
@@ -3065,7 +3065,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.modular.solve_congruence(*remainder_modulus_pairs, **hint)[source]
          
+sympy.ntheory.modular.solve_congruence(*remainder_modulus_pairs, **hint)[source]
 
          Compute the integer n that has the residual ai when it is
 divided by mi where the ai and mi are given as pairs to
 this function: ((a1, m1), (a2, m2), …). If there is no solution,
@@ -3119,7 +3119,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.multinomial.binomial_coefficients(n)[source]
          
+sympy.ntheory.multinomial.binomial_coefficients(n)[source]
 
          Return a dictionary containing pairs \({(k1,k2) : C_kn}\) where
 \(C_kn\) are binomial coefficients and \(n=k1+k2\).
          
 
          Examples
          
@@ -3137,7 +3137,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.multinomial.binomial_coefficients_list(n)[source]
          
+sympy.ntheory.multinomial.binomial_coefficients_list(n)[source]
 
          Return a list of binomial coefficients as rows of the Pascal’s
 triangle.
          
 
          Examples
          
@@ -3154,7 +3154,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.multinomial.multinomial_coefficients(m, n)[source]
          
+sympy.ntheory.multinomial.multinomial_coefficients(m, n)[source]
 
          Return a dictionary containing pairs {(k1,k2,..,km) : C_kn}
 where C_kn are multinomial coefficients such that
 n=k1+k2+..+km.
          
@@ -3189,7 +3189,7 @@ 
          Ntheory Functions Reference_tuple=<class 'tuple'>,
          
 
          
 
-)[source]
+)[source]
 
          multinomial coefficient iterator
          
 
          This routine has been optimized for \(m\) large with respect to \(n\) by taking
 advantage of the fact that when the monomial tuples \(t\) are stripped of
@@ -3213,7 +3213,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.partitions_.npartitions(n, verbose=False)[source]
          
+sympy.ntheory.partitions_.npartitions(n, verbose=False)[source]
 
          Calculate the partition function P(n), i.e. the number of ways that
 n can be written as a sum of positive integers.
          
 
          
@@ -3241,7 +3241,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_fermat_pseudoprime(n, a)[source]
          
+sympy.ntheory.primetest.is_fermat_pseudoprime(n, a)[source]
 
          Returns True if n is prime or is an odd composite integer that
 is coprime to a and satisfy the modular arithmetic congruence relation:
          
 
          
@@ -3290,7 +3290,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_euler_pseudoprime(n, a)[source]
          
+sympy.ntheory.primetest.is_euler_pseudoprime(n, a)[source]
 
          Returns True if n is prime or is an odd composite integer that
 is coprime to a and satisfy the modular arithmetic congruence relation:
          
 
          
@@ -3338,7 +3338,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_euler_jacobi_pseudoprime(n, a)[source]
          
+sympy.ntheory.primetest.is_euler_jacobi_pseudoprime(n, a)[source]
 
          Returns True if n is prime or is an odd composite integer that
 is coprime to a and satisfy the modular arithmetic congruence relation:
          
 
          
@@ -3385,7 +3385,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_square(n, prep=True)[source]
          
+sympy.ntheory.primetest.is_square(n, prep=True)[source]
 
          Return True if n == a * a for some integer a, else False.
 If n is suspected of not being a square then this is a
 quick method of confirming that it is not.
          
@@ -3412,7 +3412,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.mr(n, bases)[source]
          
+sympy.ntheory.primetest.mr(n, bases)[source]
 
          Perform a Miller-Rabin strong pseudoprime test on n using a
 given list of bases/witnesses.
          
 
          Examples
          
@@ -3437,7 +3437,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_lucas_prp(n)[source]
          
+sympy.ntheory.primetest.is_lucas_prp(n)[source]
 
          Standard Lucas compositeness test with Selfridge parameters.  Returns
 False if n is definitely composite, and True if n is a Lucas probable
 prime.
          
@@ -3481,7 +3481,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_strong_lucas_prp(n)[source]
          
+sympy.ntheory.primetest.is_strong_lucas_prp(n)[source]
 
          Strong Lucas compositeness test with Selfridge parameters.  Returns
 False if n is definitely composite, and True if n is a strong Lucas
 probable prime.
          
@@ -3526,7 +3526,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_extra_strong_lucas_prp(n)[source]
          
+sympy.ntheory.primetest.is_extra_strong_lucas_prp(n)[source]
 
          Extra Strong Lucas compositeness test.  Returns False if n is
 definitely composite, and True if n is an “extra strong” Lucas probable
 prime.
          
@@ -3573,7 +3573,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.proth_test(n)[source]
          
+sympy.ntheory.primetest.proth_test(n)[source]
 
          Test if the Proth number \(n = k2^m + 1\) is prime. where k is a positive odd number and \(2^m > k\).
          
 
          
 
          Parameters:
          
@@ -3611,7 +3611,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_mersenne_prime(n)[source]
          
+sympy.ntheory.primetest.is_mersenne_prime(n)[source]
 
          Returns True if  n is a Mersenne prime, else False.
          
 
          A Mersenne prime is a prime number having the form \(2^i - 1\).
          
 
          Examples
          
@@ -3633,7 +3633,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.isprime(n)[source]
          
+sympy.ntheory.primetest.isprime(n)[source]
 
          Test if n is a prime number (True) or not (False). For n < 2^64 the
 answer is definitive; larger n values have a small probability of actually
 being pseudoprimes.
          
@@ -3713,7 +3713,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.primetest.is_gaussian_prime(num)[source]
          
+sympy.ntheory.primetest.is_gaussian_prime(num)[source]
 
          Test if num is a Gaussian prime number.
          
 
          References
          
 
          
@@ -3726,7 +3726,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.n_order(a, n)[source]
          
+sympy.ntheory.residue_ntheory.n_order(a, n)[source]
 
          Returns the order of a modulo n.
          
 
          
 
          Parameters:
          
@@ -3766,7 +3766,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.is_primitive_root(a, p)[source]
          
+sympy.ntheory.residue_ntheory.is_primitive_root(a, p)[source]
 
          Returns True if a is a primitive root of p.
          
 
          
 
          Parameters:
          
@@ -3818,7 +3818,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.primitive_root(p, smallest=True)[source]
          
+sympy.ntheory.residue_ntheory.primitive_root(p, smallest=True)[source]
 
          Returns a primitive root of p or None.
          
 
          
 
          Parameters:
          
@@ -3885,7 +3885,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.sqrt_mod(a, p, all_roots=False)[source]
          
+sympy.ntheory.residue_ntheory.sqrt_mod(a, p, all_roots=False)[source]
 
          Find a root of x**2 = a mod p.
          
 
          
 
          Parameters:
          
@@ -3912,7 +3912,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.sqrt_mod_iter(a, p, domain=<class 'int'>)[source]
          
+sympy.ntheory.residue_ntheory.sqrt_mod_iter(a, p, domain=<class 'int'>)[source]
 
          Iterate over solutions to x**2 = a mod p.
          
 
          
 
          Parameters:
          
@@ -3938,7 +3938,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.quadratic_residues(p) → list[int][source]
          
+sympy.ntheory.residue_ntheory.quadratic_residues(p) → list[int][source]
 
          Returns the list of quadratic residues.
          
 
          Examples
          
 
          >>> from sympy.ntheory.residue_ntheory import quadratic_residues
@@ -3950,7 +3950,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.nthroot_mod(a, n, p, all_roots=False)[source]
          
+sympy.ntheory.residue_ntheory.nthroot_mod(a, n, p, all_roots=False)[source]
 
          Find the solutions to x**n = a mod p.
          
 
          
 
          Parameters:
          
@@ -4025,7 +4025,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.is_nthpow_residue(a, n, m)[source]
          
+sympy.ntheory.residue_ntheory.is_nthpow_residue(a, n, m)[source]
 
          Returns True if x**n == a (mod m) has solutions.
          
 
          References
          
 
          
@@ -4040,7 +4040,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.is_quad_residue(a, p)[source]
          
+sympy.ntheory.residue_ntheory.is_quad_residue(a, p)[source]
 
          Returns True if a (mod p) is in the set of squares mod p,
 i.e a % p in set([i**2 % p for i in range(p)]).
          
 
          
@@ -4088,7 +4088,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.legendre_symbol(a, p)[source]
          
+sympy.ntheory.residue_ntheory.legendre_symbol(a, p)[source]
 
          Returns the Legendre symbol \((a / p)\).
          
 
          
 
          Deprecated since version 1.13: The legendre_symbol function is deprecated. Use sympy.functions.combinatorial.numbers.legendre_symbol
@@ -4127,7 +4127,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.jacobi_symbol(m, n)[source]
          
+sympy.ntheory.residue_ntheory.jacobi_symbol(m, n)[source]
 
          Returns the Jacobi symbol \((m / n)\).
          
 
          
 
          Deprecated since version 1.13: The jacobi_symbol function is deprecated. Use sympy.functions.combinatorial.numbers.jacobi_symbol
@@ -4187,7 +4187,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.mobius(n)[source]
          
+sympy.ntheory.residue_ntheory.mobius(n)[source]
 
          Mobius function maps natural number to {-1, 0, 1}
          
 
          
 
          Deprecated since version 1.13: The mobius function is deprecated. Use sympy.functions.combinatorial.numbers.mobius
@@ -4249,7 +4249,7 @@ 
          Ntheory Functions Referenceprime_order=None,
          
 
          
 
-)[source]
+)[source]
 
          Compute the discrete logarithm of a to the base b modulo n.
          
 
          This is a recursive function to reduce the discrete logarithm problem in
 cyclic groups of composite order to the problem in cyclic groups of prime
@@ -4287,7 +4287,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.quadratic_congruence(a, b, c, n)[source]
          
+sympy.ntheory.residue_ntheory.quadratic_congruence(a, b, c, n)[source]
 
          Find the solutions to \(a x^2 + b x + c \equiv 0 \pmod{n}\).
          
 
          
 
          Parameters:
          
@@ -4325,7 +4325,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.polynomial_congruence(expr, m)[source]
          
+sympy.ntheory.residue_ntheory.polynomial_congruence(expr, m)[source]
 
          Find the solutions to a polynomial congruence equation modulo m.
          
 
          
 
          Parameters:
          
@@ -4352,7 +4352,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.residue_ntheory.binomial_mod(n, m, k)[source]
          
+sympy.ntheory.residue_ntheory.binomial_mod(n, m, k)[source]
 
          Compute binomial(n, m) % k.
          
 
          
 
          Parameters:
          
@@ -4387,7 +4387,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.continued_fraction.continued_fraction(a) → list[source]
          
+sympy.ntheory.continued_fraction.continued_fraction(a) → list[source]
 
          Return the continued fraction representation of a Rational or
 quadratic irrational.
          
 
          Examples
          
@@ -4405,7 +4405,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.continued_fraction.continued_fraction_convergents(cf)[source]
          
+sympy.ntheory.continued_fraction.continued_fraction_convergents(cf)[source]
 
          Return an iterator over the convergents of a continued fraction (cf).
          
 
          The parameter should be in either of the following to forms:
 - A list of partial quotients, possibly with the last element being a list
@@ -4462,7 +4462,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.continued_fraction.continued_fraction_iterator(x)[source]
          
+sympy.ntheory.continued_fraction.continued_fraction_iterator(x)[source]
 
          Return continued fraction expansion of x as iterator.
          
 
          Examples
          
 
          >>> from sympy import Rational, pi
@@ -4509,7 +4509,7 @@ 
          Ntheory Functions References=1,
          
 
          
 
-) → list[source]
+) → list[source]
 
          Find the periodic continued fraction expansion of a quadratic irrational.
          
 
          Compute the continued fraction expansion of a rational or a
 quadratic irrational number, i.e. \(\frac{p + s\sqrt{d}}{q}\), where
@@ -4576,7 +4576,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.continued_fraction.continued_fraction_reduce(cf)[source]
          
+sympy.ntheory.continued_fraction.continued_fraction_reduce(cf)[source]
 
          Reduce a continued fraction to a rational or quadratic irrational.
          
 
          Compute the rational or quadratic irrational number from its
 terminating or periodic continued fraction expansion.  The
@@ -4616,7 +4616,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.digits.count_digits(n, b=10)[source]
          
+sympy.ntheory.digits.count_digits(n, b=10)[source]
 
          Return a dictionary whose keys are the digits of n in the
 given base, b, with keys indicating the digits appearing in the
 number and values indicating how many times that digit appeared.
          
@@ -4657,7 +4657,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.digits.digits(n, b=10, digits=None)[source]
          
+sympy.ntheory.digits.digits(n, b=10, digits=None)[source]
 
          Return a list of the digits of n in base b. The first
 element in the list is b (or -b if n is negative).
          
 
          
@@ -4707,7 +4707,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.digits.is_palindromic(n, b=10)[source]
          
+sympy.ntheory.digits.is_palindromic(n, b=10)[source]
 
          return True if n is the same when read from left to right
 or right to left in the given base, b.
          
 
          Examples
          
@@ -4740,7 +4740,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.egyptian_fraction.egyptian_fraction(r, algorithm='Greedy')[source]
          
+sympy.ntheory.egyptian_fraction.egyptian_fraction(r, algorithm='Greedy')[source]
 
          Return the list of denominators of an Egyptian fraction
 expansion [R713] of the said rational \(r\).
          
 
          
@@ -4847,7 +4847,7 @@ 
          Ntheory Functions Reference
 
          
-sympy.ntheory.bbp_pi.pi_hex_digits(n, prec=14)[source]
          
+sympy.ntheory.bbp_pi.pi_hex_digits(n, prec=14)[source]
 
          Returns a string containing prec (default 14) digits
 starting at the nth digit of pi in hex. Counting of digits
 starts at 0 and the decimal is not counted, so for n = 0 the
@@ -4921,7 +4921,7 @@ 
          Ntheory Functions Referenceseed=1234,
          
 
          
 
-)[source]
+)[source]
 
          Performs factorization using Lenstra’s Elliptic curve method.
          
 
          This function repeatedly calls _ecm_one_factor to compute the factors
 of n. First all the small factors are taken out using trial division.
@@ -4972,7 +4972,7 @@ 
          Examples
 with two 25 digit factors. \(qs\) is able to factorize this in around 248s.
          
 
          
 
          
-sympy.ntheory.qs.qs(N, prime_bound, M, ERROR_TERM=25, seed=1234)[source]
          
+sympy.ntheory.qs.qs(N, prime_bound, M, ERROR_TERM=25, seed=1234)[source]
 
          Performs factorization using Self-Initializing Quadratic Sieve.
 In SIQS, let N be a number to be factored, and this N should not be a
 perfect power. If we find two integers such that X**2 = Y**2 modN and
diff --git a/dev/modules/parsing.html b/dev/modules/parsing.html
index 923df3148f9..5141ae39449 100644
--- a/dev/modules/parsing.html
+++ b/dev/modules/parsing.html
@@ -804,7 +804,7 @@ 
          Documentation Version
          
 
          Parsing Functions Reference
          
 
          
 
          
-sympy.parsing.sympy_parser.parse_expr(s: str, local_dict: ~typing.Dict[str, ~typing.Any] | None = None, transformations: ~typing.Tuple[~typing.Callable[[~typing.List[~typing.Tuple[int, str]], ~typing.Dict[str, ~typing.Any], ~typing.Dict[str, ~typing.Any]], ~typing.List[~typing.Tuple[int, str]]], ...] | str = (<function lambda_notation>, <function auto_symbol>, <function repeated_decimals>, <function auto_number>, <function factorial_notation>), global_dict: ~typing.Dict[str, ~typing.Any] | None = None, evaluate=True)[source]
          
+sympy.parsing.sympy_parser.parse_expr(s: str, local_dict: ~typing.Dict[str, ~typing.Any] | None = None, transformations: ~typing.Tuple[~typing.Callable[[~typing.List[~typing.Tuple[int, str]], ~typing.Dict[str, ~typing.Any], ~typing.Dict[str, ~typing.Any]], ~typing.List[~typing.Tuple[int, str]]], ...] | str = (<function lambda_notation>, <function auto_symbol>, <function repeated_decimals>, <function auto_number>, <function factorial_notation>), global_dict: ~typing.Dict[str, ~typing.Any] | None = None, evaluate=True)[source]
 
          Converts the string s to a SymPy expression, in local_dict.
          
 
          
 
          Parameters:
          
@@ -944,7 +944,7 @@ 
          Parsing Functions Referencetransformations: Tuple[Callable[[List[Tuple[int, str]], Dict[str, Any], Dict[str, Any]], List[Tuple[int, str]]], ...],
          
 
          
 
-) → str[source]
+) → str[source]
 
          Converts the string s to Python code, in local_dict
          
 
          Generally, parse_expr should be used.
          
 
          
@@ -959,19 +959,19 @@ 
          Parsing Functions Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Evaluate Python code generated by stringify_expr.
          
 
          Generally, parse_expr should be used.
          
 
          
 
 
          
 
          
-sympy.parsing.maxima.parse_maxima(str, globals=None, name_dict={})[source]
          
+sympy.parsing.maxima.parse_maxima(str, globals=None, name_dict={})[source]
 
          
 
 
          
 
          
-sympy.parsing.mathematica.parse_mathematica(s)[source]
          
+sympy.parsing.mathematica.parse_mathematica(s)[source]
 
          Translate a string containing a Wolfram Mathematica expression to a SymPy
 expression.
          
 
          If the translator is unable to find a suitable SymPy expression, the
@@ -1044,7 +1044,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Splits symbol names for implicit multiplication.
          
 
          Intended to let expressions like xyz be parsed as x*y*z. Does not
 split Greek character names, so theta will not become
@@ -1060,7 +1060,7 @@ 
          Parsing Transformations Referencepredicate: Callable[[str], bool],
          
 
          
 
-)[source]
+)[source]
 
          Creates a transformation that splits symbol names.
          
 
          predicate should return True if the symbol name is to be split.
          
 
          For instance, to retain the default behavior but avoid splitting certain
@@ -1091,7 +1091,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-) → List[Tuple[int, str]][source]
+) → List[Tuple[int, str]][source]
 
          Makes the multiplication operator optional in most cases.
          
 
          Use this before implicit_application(), otherwise expressions like
 sin 2x will be parsed as x * sin(2) rather than sin(2*x).
          
@@ -1115,7 +1115,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-) → List[Tuple[int, str]][source]
+) → List[Tuple[int, str]][source]
 
          Makes parentheses optional in some cases for function calls.
          
 
          Use this after implicit_multiplication(), otherwise expressions
 like sin 2x will be parsed as x * sin(2) rather than
@@ -1140,7 +1140,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Allows functions to be exponentiated, e.g. cos**2(x).
          
 
          Examples
          
 
          >>> from sympy.parsing.sympy_parser import (parse_expr,
@@ -1162,7 +1162,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-) → List[Tuple[int, str]][source]
+) → List[Tuple[int, str]][source]
 
          Allows a slightly relaxed syntax.
          
 
            
 
          • Parentheses for single-argument method calls are optional.
            • 
@@ -1192,7 +1192,7 @@ 
            Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Converts floats into Rational. Run AFTER auto_number.
          
 
          
 
@@ -1206,7 +1206,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Treats XOR, ^, as exponentiation, **.
          
 
          
 
@@ -1223,7 +1223,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Substitutes “lambda” with its SymPy equivalent Lambda().
 However, the conversion does not take place if only “lambda”
 is passed because that is a syntax error.
          
@@ -1239,7 +1239,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Inserts calls to Symbol/Function for undefined variables.
          
 
          
 
@@ -1253,7 +1253,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Allows 0.2[1] notation to represent the repeated decimal 0.2111… (19/90)
          
 
          Run this before auto_number.
          
 
          
@@ -1268,7 +1268,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Converts numeric literals to use SymPy equivalents.
          
 
          Complex numbers use I, integer literals use Integer, and float
 literals use Float.
          
@@ -1284,7 +1284,7 @@ 
          Parsing Transformations Referenceglobal_dict: Dict[str, Any],
          
 
          
 
-)[source]
+)[source]
 
          Allows standard notation for factorial.
          
 
          
 
@@ -1300,7 +1300,7 @@ 
          Experimental \(\mathrm{\LaTeX}\)<
 
          \(\mathrm{\LaTeX}\) Parsing Functions Reference
          
 
          
 
          
-sympy.parsing.latex.parse_latex(s, strict=False, backend='antlr')[source]
          
+sympy.parsing.latex.parse_latex(s, strict=False, backend='antlr')[source]
 
          Converts the input LaTeX string s to a SymPy Expr.
          
 
          
 
          Parameters:
          
@@ -1474,7 +1474,7 @@ 
          Lark \(\mathrm{\LaTeX}\) P
 
          Lark \(\mathrm{\LaTeX}\) Parser Functions
          
 
          
 
          
-sympy.parsing.latex.parse_latex_lark(s: str)[source]
          
+sympy.parsing.latex.parse_latex_lark(s: str)[source]
 
          Experimental LaTeX parser using Lark.
          
 
          This function is still under development and its API may change with the
 next releases of SymPy.
          
@@ -1494,7 +1494,7 @@ 
          Lark \(\mathrm{\LaTeX}\) P
 
          transformer=None,
          
 
          
 
-)[source]
+)[source]
 
          Class for converting input \(\mathrm{\LaTeX}\) strings into SymPy Expressions.
 It holds all the necessary internal data for doing so, and exposes hooks for
 customizing its behavior.
          
@@ -1527,7 +1527,7 @@ 
          Lark \(\mathrm{\LaTeX}\) P
 
 
          
 
          
-class sympy.parsing.latex.lark.TransformToSymPyExpr[source]
          
+class sympy.parsing.latex.lark.TransformToSymPyExpr[source]
 
          Returns a SymPy expression that is generated by traversing the lark.Tree
 passed to the .transform() function.
          
 
          
@@ -1554,7 +1554,7 @@ 
          Lark \(\mathrm{\LaTeX}\) P
 
          \(\mathrm{\LaTeX}\) Parsing Exceptions Reference
          
 
          
 
          
-class sympy.parsing.latex.LaTeXParsingError[source]
          
+class sympy.parsing.latex.LaTeXParsingError[source]
 
          
 
 
@@ -1562,7 +1562,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
          SymPy Expression Reference
          
 
          
 
          
-class sympy.parsing.sym_expr.SymPyExpression(source_code=None, mode=None)[source]
          
+class sympy.parsing.sym_expr.SymPyExpression(source_code=None, mode=None)[source]
 
          Class to store and handle SymPy expressions
          
 
          This class will hold SymPy Expressions and handle the API for the
 conversion to and from different languages.
          
@@ -1633,7 +1633,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
          
 
          
 
          
-convert_to_c()[source]
          
+convert_to_c()[source]
 
          Returns a list with the c source code for the SymPy expressions
          
 
          Examples
          
 
          >>> from sympy.parsing.sym_expr import SymPyExpression
@@ -1655,7 +1655,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
 
          
 
          
-convert_to_expr(src_code, mode)[source]
          
+convert_to_expr(src_code, mode)[source]
 
          Converts the given source code to SymPy Expressions
          
 
          Examples
          
 
          >>> from sympy.parsing.sym_expr import SymPyExpression
@@ -1694,7 +1694,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
 
          
 
          
-convert_to_fortran()[source]
          
+convert_to_fortran()[source]
 
          Returns a list with the fortran source code for the SymPy expressions
          
 
          Examples
          
 
          >>> from sympy.parsing.sym_expr import SymPyExpression
@@ -1715,7 +1715,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
 
          
 
          
-convert_to_python()[source]
          
+convert_to_python()[source]
 
          Returns a list with Python code for the SymPy expressions
          
 
          Examples
          
 
          >>> from sympy.parsing.sym_expr import SymPyExpression
@@ -1736,7 +1736,7 @@ 
          \(\mathrm{\LaTeX}\) Parsin
 
 
          
 
          
-return_expr()[source]
          
+return_expr()[source]
 
          Returns the expression list
          
 
          Examples
          
 
          >>> from sympy.parsing.sym_expr import SymPyExpression
diff --git a/dev/modules/physics/biomechanics/api/activation.html b/dev/modules/physics/biomechanics/api/activation.html
index 9ce00c76af8..a8e7c110b48 100644
--- a/dev/modules/physics/biomechanics/api/activation.html
+++ b/dev/modules/physics/biomechanics/api/activation.html
@@ -811,7 +811,7 @@ 
          Documentation Version
          
 module.
          
 
          
 
          
-class sympy.physics.biomechanics.activation.ActivationBase(name)[source]
          
+class sympy.physics.biomechanics.activation.ActivationBase(name)[source]
 
          Abstract base class for all activation dynamics classes to inherit from.
          
 
          Notes
          
 
          Instances of this class cannot be directly instantiated by users. However,
@@ -925,7 +925,7 @@ 
          Documentation Version
          
 
 
          
 
          
-abstract rhs()[source]
          
+abstract rhs()[source]
 
          Explanation
          
 
          The solution to the linear system of ordinary differential equations
 governing the activation dynamics:
          
@@ -943,7 +943,7 @@ 
          Documentation Version
          
 
 
          
 
          
-abstract classmethod with_defaults(name)[source]
          
+abstract classmethod with_defaults(name)[source]
 
          Alternate constructor that provides recommended defaults for
 constants.
          
 
          
@@ -970,7 +970,7 @@ 
          Documentation Version
          
 
          smoothing_rate=None,
          
 
          
 
-)[source]
+)[source]
 
          First-order activation dynamics based on De Groote et al., 2016 [R720].
          
 
          Explanation
          
 
          Gives the first-order activation dynamics equation for the rate of change
@@ -1103,7 +1103,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rhs()[source]
          
+rhs()[source]
 
          Ordered column matrix of equations for the solution of M x' = F.
          
 
          Explanation
          
 
          The solution to the linear system of ordinary differential equations
@@ -1154,7 +1154,7 @@ 
          Documentation Version
          
 
          name,
          
 
          
 
-)[source]
+)[source]
 
          Alternate constructor that will use the published constants.
          
 
          Explanation
          
 
          Returns an instance of FirstOrderActivationDeGroote2016 using the
@@ -1178,7 +1178,7 @@ 
          Documentation Version
          
 
 
          
 
          
-class sympy.physics.biomechanics.activation.ZerothOrderActivation(name)[source]
          
+class sympy.physics.biomechanics.activation.ZerothOrderActivation(name)[source]
 
          Simple zeroth-order activation dynamics mapping excitation to
 activation.
          
 
          Explanation
          
@@ -1282,7 +1282,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rhs()[source]
          
+rhs()[source]
 
          Ordered column matrix of equations for the solution of M x' = F.
          
 
          Explanation
          
 
          The solution to the linear system of ordinary differential equations
@@ -1307,7 +1307,7 @@ 
          Documentation Version
          
 
 
          
 
          
-classmethod with_defaults(name)[source]
          
+classmethod with_defaults(name)[source]
 
          Alternate constructor that provides recommended defaults for
 constants.
          
 
          Explanation
          
diff --git a/dev/modules/physics/biomechanics/api/curve.html b/dev/modules/physics/biomechanics/api/curve.html
index f0976be7937..b218daff678 100644
--- a/dev/modules/physics/biomechanics/api/curve.html
+++ b/dev/modules/physics/biomechanics/api/curve.html
@@ -815,13 +815,13 @@ 
          Documentation Version
          
 
          fiber_force_velocity_inverse: CharacteristicCurveFunction,
          
 
          
 
-)[source]
+)[source]
 
          Simple data container to group together related characteristic curves.
          
 
          
 
 
          
 
          
-class sympy.physics.biomechanics.curve.CharacteristicCurveFunction[source]
          
+class sympy.physics.biomechanics.curve.CharacteristicCurveFunction[source]
 
          Base class for all musculotendon characteristic curve functions.
          
 
          
 
@@ -845,7 +845,7 @@ 
          Documentation Version
          
 
          c11,
          
 
          
 
-)[source]
+)[source]
 
          Active muscle fiber force-length curve based on De Groote et al., 2016
 [R721].
          
 
          Explanation
          
@@ -948,7 +948,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -993,7 +993,7 @@ 
          Documentation Version
          
 
          c11,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -1073,7 +1073,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -1095,7 +1095,7 @@ 
          Documentation Version
          
 
          l_M_tilde,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -1137,7 +1137,7 @@ 
          Documentation Version
          
 
          c1,
          
 
          
 
-)[source]
+)[source]
 
          Passive muscle fiber force-length curve based on De Groote et al., 2016
 [R722].
          
 
          Explanation
          
@@ -1220,7 +1220,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -1255,7 +1255,7 @@ 
          Documentation Version
          
 
          c1,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -1285,7 +1285,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -1307,7 +1307,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -1327,7 +1327,7 @@ 
          Documentation Version
          
 
          l_M_tilde,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -1358,7 +1358,7 @@ 
          Documentation Version
          
 
          c1,
          
 
          
 
-)[source]
+)[source]
 
          Inverse passive muscle fiber force-length curve based on De Groote et
 al., 2016 [R723].
          
 
          Explanation
          
@@ -1435,7 +1435,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -1470,7 +1470,7 @@ 
          Documentation Version
          
 
          c1,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -1500,7 +1500,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -1522,7 +1522,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -1542,7 +1542,7 @@ 
          Documentation Version
          
 
          fl_M_pas,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -1576,7 +1576,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Muscle fiber force-velocity curve based on De Groote et al., 2016 [R724].
          
 
          Explanation
          
 
          Gives the normalized muscle fiber force produced as a function of
@@ -1662,7 +1662,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -1699,7 +1699,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -1733,7 +1733,7 @@ 
          Documentation Version
          
 
 
          
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -1749,7 +1749,7 @@ 
          Documentation Version
          
 
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -1769,7 +1769,7 @@ 
          Documentation Version
          
 
          v_M_tilde,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -1803,7 +1803,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Inverse muscle fiber force-velocity curve based on De Groote et al.,
 2016 [R725].
          
 
          Explanation
          
@@ -1879,7 +1879,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -1916,7 +1916,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -1957,7 +1957,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -1979,7 +1979,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -1999,7 +1999,7 @@ 
          Documentation Version
          
 
          fv_M,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -2034,7 +2034,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Tendon force-length curve based on De Groote et al., 2016 [R726].
          
 
          Explanation
          
 
          Gives the normalized tendon force produced as a function of normalized
@@ -2121,7 +2121,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -2158,7 +2158,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -2192,7 +2192,7 @@ 
          Documentation Version
          
 
 
          
 
          
-fdiff(argindex=1)[source]
          
+fdiff(argindex=1)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -2208,7 +2208,7 @@ 
          Documentation Version
          
 
 
          
 
          
-inverse(argindex=1)[source]
          
+inverse(argindex=1)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -2228,7 +2228,7 @@ 
          Documentation Version
          
 
          l_T_tilde,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -2262,7 +2262,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Inverse tendon force-length curve based on De Groote et al., 2016 [R727].
          
 
          Explanation
          
 
          Gives the normalized tendon length that produces a specific normalized
@@ -2338,7 +2338,7 @@ 
          Documentation Version
          
 
          **hints,
          
 
          
 
-)[source]
+)[source]
 
          Evaluate the expression defining the function.
          
 
          
 
          Parameters:
          
@@ -2375,7 +2375,7 @@ 
          Documentation Version
          
 
          c3,
          
 
          
 
-)[source]
+)[source]
 
          Evaluation of basic inputs.
          
 
          
 
          Parameters:
          
@@ -2415,7 +2415,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Derivative of the function with respect to a single argument.
          
 
          
 
          Parameters:
          
@@ -2437,7 +2437,7 @@ 
          Documentation Version
          
 
          argindex=1,
          
 
          
 
-)[source]
+)[source]
 
          Inverse function.
          
 
          
 
          Parameters:
          
@@ -2457,7 +2457,7 @@ 
          Documentation Version
          
 
          fl_T,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/physics/biomechanics/api/musculotendon.html b/dev/modules/physics/biomechanics/api/musculotendon.html
index 23efb82f33d..4ebf89d8556 100644
--- a/dev/modules/physics/biomechanics/api/musculotendon.html
+++ b/dev/modules/physics/biomechanics/api/musculotendon.html
@@ -827,7 +827,7 @@ 
          Documentation Version
          
 
          with_defaults=False,
          
 
          
 
-)[source]
+)[source]
 
          Abstract base class for all musculotendon classes to inherit from.
          
 
          
 
          Parameters:
          
@@ -1032,7 +1032,7 @@ 
          Documentation Version
          
 
 
          
 
          
-abstract curves()[source]
          
+abstract curves()[source]
 
          Return a CharacteristicCurveCollection of the curves related to
 the specific model.
          
 
          
@@ -1201,7 +1201,7 @@ 
          Documentation Version
          
 
 
          
 
          
-rhs()[source]
          
+rhs()[source]
 
          Ordered column matrix of equations for the solution of M x' = F.
          
 
          Explanation
          
 
          The solution to the linear system of ordinary differential equations
@@ -1265,7 +1265,7 @@ 
          Documentation Version
          
 
          fiber_damping_coefficient=0.100000000000000,
          
 
          
 
-)[source]
+)[source]
 
          Recommended constructor that will use the published constants.
          
 
          
 
          Parameters:
          
@@ -1396,7 +1396,7 @@ 
          Documentation Version
          
 
          with_defaults=False,
          
 
          
 
-)[source]
+)[source]
 
          Musculotendon model using the curves of De Groote et al., 2016 [R728].
          
 
          
 
          Parameters:
          
@@ -1784,7 +1784,7 @@ 
          Documentation Version
          
 
          boundary=None,
          
 
          
 
-)[source]
+)[source]
 
          Enumeration of types of musculotendon dynamics formulations.
          
 
          Explanation
          
 
          An (integer) enumeration is used as it allows for clearer selection of the
diff --git a/dev/modules/physics/continuum_mechanics/beam.html b/dev/modules/physics/continuum_mechanics/beam.html
index b148ad6f773..0c82a02a01b 100644
--- a/dev/modules/physics/continuum_mechanics/beam.html
+++ b/dev/modules/physics/continuum_mechanics/beam.html
@@ -816,7 +816,7 @@ 
          Documentation Version
          
 
          ild_variable=a,
          
 
          
 
-)[source]
+)[source]
 
          A Beam is a structural element that is capable of withstanding load
 primarily by resisting against bending. Beams are characterized by
 their cross sectional profile(Second moment of area), their length
@@ -933,7 +933,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_load(value, start, order, end=None)[source]
          
+apply_load(value, start, order, end=None)[source]
 
          This method adds up the loads given to a particular beam object.
          
 
          
 
          Parameters:
          
@@ -1001,7 +1001,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_rotation_hinge(loc)[source]
          
+apply_rotation_hinge(loc)[source]
 
          This method applies a rotation hinge at a single location on the beam.
          
 
          
 
          Parameters:
          
@@ -1055,7 +1055,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_sliding_hinge(loc)[source]
          
+apply_sliding_hinge(loc)[source]
 
          This method applies a sliding hinge at a single location on the beam.
          
 
          
 
          Parameters:
          
@@ -1102,7 +1102,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_support(loc, type='fixed')[source]
          
+apply_support(loc, type='fixed')[source]
 
          This method applies support to a particular beam object and returns
 the symbol of the unknown reaction load(s).
          
 
          
@@ -1165,7 +1165,7 @@ 
          Documentation Version
          
 
 
          
 
          
-bending_moment()[source]
          
+bending_moment()[source]
 
          Returns a Singularity Function expression which represents
 the bending moment curve of the Beam object.
          
 
          Examples
          
@@ -1228,7 +1228,7 @@ 
          Documentation Version
          
 
 
          
 
          
-deflection()[source]
          
+deflection()[source]
 
          Returns a Singularity Function expression which represents
 the elastic curve or deflection of the Beam object.
          
 
          Examples
          
@@ -1268,7 +1268,7 @@ 
          Documentation Version
          
 
 
          
 
          
-draw(pictorial=True)[source]
          
+draw(pictorial=True)[source]
 
          Returns a plot object representing the beam diagram of the beam.
 In particular, the diagram might include:
          
 
            
@@ -1383,7 +1383,7 @@ 
            Documentation Version
            
 
 
            
 
            
-join(beam, via='fixed')[source]
            
+join(beam, via='fixed')[source]
 
            This method joins two beams to make a new composite beam system.
 Passed Beam class instance is attached to the right end of calling
 object. This method can be used to form beams having Discontinuous
@@ -1463,28 +1463,28 @@ 
            Documentation Version
            
 
 
            
 
            
-max_bmoment()[source]
            
+max_bmoment()[source]
 
            Returns maximum Shear force and its coordinate
 in the Beam object.
            
 
            
 
 
            
 
            
-max_deflection()[source]
            
+max_deflection()[source]
 
            Returns point of max deflection and its corresponding deflection value
 in a Beam object.
            
 
            
 
 
            
 
            
-max_shear_force()[source]
            
+max_shear_force()[source]
 
            Returns maximum Shear force and its coordinate
 in the Beam object.
            
 
            
 
 
            
 
            
-plot_bending_moment(subs=None)[source]
            
+plot_bending_moment(subs=None)[source]
 
            Returns a plot for Bending moment present in the Beam object.
            
 
            
 
            Parameters:
            
@@ -1528,7 +1528,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_deflection(subs=None)[source]
            
+plot_deflection(subs=None)[source]
 
            Returns a plot for deflection curve of the Beam object.
            
 
            
 
            Parameters:
            
@@ -1573,7 +1573,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_ild_moment(subs=None)[source]
            
+plot_ild_moment(subs=None)[source]
 
            Plots the Influence Line Diagram for Moment under the effect
 of a moving load. This function should be called after
 calling solve_for_ild_moment().
            
@@ -1623,7 +1623,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_ild_reactions(subs=None)[source]
            
+plot_ild_reactions(subs=None)[source]
 
            Plots the Influence Line Diagram of Reaction Forces
 under the effect of a moving load. This function
 should be called after calling solve_for_ild_reactions().
            
@@ -1679,7 +1679,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_ild_shear(subs=None)[source]
            
+plot_ild_shear(subs=None)[source]
 
            Plots the Influence Line Diagram for Shear under the effect
 of a moving load. This function should be called after
 calling solve_for_ild_shear().
            
@@ -1729,7 +1729,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_loading_results(subs=None)[source]
            
+plot_loading_results(subs=None)[source]
 
            Returns a subplot of Shear Force, Bending Moment,
 Slope and Deflection of the Beam object.
            
 
            
@@ -1770,7 +1770,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_shear_force(subs=None)[source]
            
+plot_shear_force(subs=None)[source]
 
            Returns a plot for Shear force present in the Beam object.
            
 
            
 
            Parameters:
            
@@ -1814,7 +1814,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_shear_stress(subs=None)[source]
            
+plot_shear_stress(subs=None)[source]
 
            Returns a plot of shear stress present in the beam object.
            
 
            
 
            Parameters:
            
@@ -1859,7 +1859,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_slope(subs=None)[source]
            
+plot_slope(subs=None)[source]
 
            Returns a plot for slope of deflection curve of the Beam object.
            
 
            
 
            Parameters:
            
@@ -1903,7 +1903,7 @@ 
            Documentation Version
            
 
 
            
 
            
-point_cflexure()[source]
            
+point_cflexure()[source]
 
            Returns a Set of point(s) with zero bending moment and
 where bending moment curve of the beam object changes
 its sign from negative to positive or vice versa.
            
@@ -1941,7 +1941,7 @@ 
            Documentation Version
            
 
 
            
 
            
-remove_load(value, start, order, end=None)[source]
            
+remove_load(value, start, order, end=None)[source]
 
            This method removes a particular load present on the beam object.
 Returns a ValueError if the load passed as an argument is not
 present on the beam.
            
@@ -2012,7 +2012,7 @@ 
            Documentation Version
            
 
 
            
 
            
-shear_force()[source]
            
+shear_force()[source]
 
            Returns a Singularity Function expression which represents
 the shear force curve of the Beam object.
            
 
            Examples
            
@@ -2043,14 +2043,14 @@ 
            Documentation Version
            
 
 
            
 
            
-shear_stress()[source]
            
+shear_stress()[source]
 
            Returns an expression representing the Shear Stress
 curve of the Beam object.
            
 
            
 
 
            
 
            
-slope()[source]
            
+slope()[source]
 
            Returns a Singularity Function expression which represents
 the slope the elastic curve of the Beam object.
            
 
            Examples
            
@@ -2090,7 +2090,7 @@ 
            Documentation Version
            
 
            *reactions,
            
 
            
 
-)[source]
+)[source]
 
            Determines the Influence Line Diagram equations for moment at a
 specified point under the effect of a moving load.
            
 
            
@@ -2138,7 +2138,7 @@ 
            Documentation Version
            
 
 
            
 
            
-solve_for_ild_reactions(value, *reactions)[source]
            
+solve_for_ild_reactions(value, *reactions)[source]
 
            Determines the Influence Line Diagram equations for reaction
 forces under the effect of a moving load.
            
 
            
@@ -2187,7 +2187,7 @@ 
            Documentation Version
            
 
            *reactions,
            
 
            
 
-)[source]
+)[source]
 
            Determines the Influence Line Diagram equations for shear at a
 specified point under the effect of a moving load.
            
 
            
@@ -2235,7 +2235,7 @@ 
            Documentation Version
            
 
 
            
 
            
-solve_for_reaction_loads(*reactions)[source]
            
+solve_for_reaction_loads(*reactions)[source]
 
            Solves for the reaction forces.
            
 
            Examples
            
 
            There is a beam of length 30 meters. A moment of magnitude 120 Nm is
@@ -2309,7 +2309,7 @@ 
            Documentation Version
            
 
            variable=x,
            
 
            
 
-)[source]
+)[source]
 
            This class handles loads applied in any direction of a 3D space along
 with unequal values of Second moment along different axes.
            
 
            
@@ -2363,14 +2363,14 @@ 
            Documentation Version
            
 
            
 
            
 
            
-angular_deflection()[source]
            
+angular_deflection()[source]
 
            Returns a function in x depicting how the angular deflection, due to moments
 in the x-axis on the beam, varies with x.
            
 
            
 
 
            
 
            
-apply_load(value, start, order, dir='y')[source]
            
+apply_load(value, start, order, dir='y')[source]
 
            This method adds up the force load to a particular beam object.
            
 
            
 
            Parameters:
            
@@ -2406,7 +2406,7 @@ 
            Documentation Version
            
 
            dir='y',
            
 
            
 
-)[source]
+)[source]
 
            This method adds up the moment loads to a particular beam object.
            
 
            
 
            Parameters:
            
@@ -2439,19 +2439,19 @@ 
            Documentation Version
            
 
 
            
 
            
-axial_force()[source]
            
+axial_force()[source]
 
            Returns expression of Axial shear force present inside the Beam object.
            
 
            
 
 
            
 
            
-axial_stress()[source]
            
+axial_stress()[source]
 
            Returns expression of Axial stress present inside the Beam object.
            
 
            
 
 
            
 
            
-bending_moment()[source]
            
+bending_moment()[source]
 
            Returns a list of three expressions which represents the bending moment
 curve of the Beam object along all three axes.
            
 
            
@@ -2486,7 +2486,7 @@ 
            Documentation Version
            
 
 
            
 
            
-deflection()[source]
            
+deflection()[source]
 
            Returns a three element list representing deflection curve along all
 the three axes.
            
 
            
@@ -2499,7 +2499,7 @@ 
            Documentation Version
            
 
 
            
 
            
-max_bending_moment()[source]
            
+max_bending_moment()[source]
 
            Returns point of max bending moment and its corresponding bending moment value
 along all directions in a Beam object as a list.
 solve_for_reaction_loads() must be called before using this function.
            
@@ -2529,7 +2529,7 @@ 
            Documentation Version
            
 
 
            
 
            
-max_bmoment()[source]
            
+max_bmoment()[source]
 
            Returns point of max bending moment and its corresponding bending moment value
 along all directions in a Beam object as a list.
 solve_for_reaction_loads() must be called before using this function.
            
@@ -2559,7 +2559,7 @@ 
            Documentation Version
            
 
 
            
 
            
-max_deflection()[source]
            
+max_deflection()[source]
 
            Returns point of max deflection and its corresponding deflection value
 along all directions in a Beam object as a list.
 solve_for_reaction_loads() and solve_slope_deflection() must be called
@@ -2591,7 +2591,7 @@ 
            Documentation Version
            
 
 
            
 
            
-max_shear_force()[source]
            
+max_shear_force()[source]
 
            Returns point of max shear force and its corresponding shear value
 along all directions in a Beam object as a list.
 solve_for_reaction_loads() must be called before using this function.
            
@@ -2627,7 +2627,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_bending_moment(dir='all', subs=None)[source]
            
+plot_bending_moment(dir='all', subs=None)[source]
 
            Returns a plot for bending moment along all three directions
 present in the Beam object.
            
 
            
@@ -2680,7 +2680,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_deflection(dir='all', subs=None)[source]
            
+plot_deflection(dir='all', subs=None)[source]
 
            Returns a plot for Deflection along all three directions
 present in the Beam object.
            
 
            
@@ -2734,7 +2734,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_loading_results(dir='x', subs=None)[source]
            
+plot_loading_results(dir='x', subs=None)[source]
 
            Returns a subplot of Shear Force, Bending Moment,
 Slope and Deflection of the Beam object along the direction specified.
            
 
            
@@ -2791,7 +2791,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_shear_force(dir='all', subs=None)[source]
            
+plot_shear_force(dir='all', subs=None)[source]
 
            Returns a plot for Shear force along all three directions
 present in the Beam object.
            
 
            
@@ -2844,7 +2844,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_shear_stress(dir='all', subs=None)[source]
            
+plot_shear_stress(dir='all', subs=None)[source]
 
            Returns a plot for Shear Stress along all three directions
 present in the Beam object.
            
 
            
@@ -2897,7 +2897,7 @@ 
            Documentation Version
            
 
 
            
 
            
-plot_slope(dir='all', subs=None)[source]
            
+plot_slope(dir='all', subs=None)[source]
 
            Returns a plot for Slope along all three directions
 present in the Beam object.
            
 
            
@@ -2951,7 +2951,7 @@ 
            Documentation Version
            
 
 
            
 
            
-polar_moment()[source]
            
+polar_moment()[source]
 
            Returns the polar moment of area of the beam
 about the X axis with respect to the centroid.
            
 
            Examples
            
@@ -2977,7 +2977,7 @@ 
            Documentation Version
            
 
 
            
 
            
-shear_force()[source]
            
+shear_force()[source]
 
            Returns a list of three expressions which represents the shear force
 curve of the Beam object along all three axes.
            
 
            
@@ -2990,21 +2990,21 @@ 
            Documentation Version
            
 
 
            
 
            
-shear_stress()[source]
            
+shear_stress()[source]
 
            Returns a list of three expressions which represents the shear stress
 curve of the Beam object along all three axes.
            
 
            
 
 
            
 
            
-slope()[source]
            
+slope()[source]
 
            Returns a three element list representing slope of deflection curve
 along all the three axes.
            
 
            
 
 
            
 
            
-solve_for_reaction_loads(*reaction)[source]
            
+solve_for_reaction_loads(*reaction)[source]
 
            Solves for the reaction forces.
            
 
            Examples
            
 
            There is a beam of length 30 meters. It it supported by rollers at
@@ -3032,7 +3032,7 @@ 
            Documentation Version
            
 
 
            
 
            
-solve_for_torsion()[source]
            
+solve_for_torsion()[source]
 
            Solves for the angular deflection due to the torsional effects of
 moments being applied in the x-direction i.e. out of or into the beam.
            
 
            Here, a positive torque means the direction of the torque is positive
@@ -3055,7 +3055,7 @@ 
            Documentation Version
            
 
 
            
 
            
-torsional_moment()[source]
            
+torsional_moment()[source]
 
            Returns expression of Torsional moment present inside the Beam object.
            
 
            
 
diff --git a/dev/modules/physics/continuum_mechanics/cable.html b/dev/modules/physics/continuum_mechanics/cable.html
index 356f8f74b12..1b9e6e0a311 100644
--- a/dev/modules/physics/continuum_mechanics/cable.html
+++ b/dev/modules/physics/continuum_mechanics/cable.html
@@ -806,7 +806,7 @@ 
            Cable (Docstrings)
 
            
-class sympy.physics.continuum_mechanics.cable.Cable(support_1, support_2)[source]
            
+class sympy.physics.continuum_mechanics.cable.Cable(support_1, support_2)[source]
 
            Cables are structures in engineering that support
 the applied transverse loads through the tensile
 resistance developed in its members.
            
@@ -831,7 +831,7 @@ 
            Cable (Docstrings)
 
            
-apply_length(length)[source]
            
+apply_length(length)[source]
 
            This method specifies the length of the cable
            
 
            
 
            Parameters:
            
@@ -853,7 +853,7 @@ 
            Cable (Docstrings)
 
            
-apply_load(order, load)[source]
            
+apply_load(order, load)[source]
 
            This method adds load to the cable.
            
 
            
 
            Parameters:
            
@@ -921,7 +921,7 @@ 
            Cable (Docstrings)
 
            
-change_support(label, new_support)[source]
            
+change_support(label, new_support)[source]
 
            This method changes the mentioned support with a new support.
            
 
            
 
            Parameters:
            
@@ -956,7 +956,7 @@ 
            Cable (Docstrings)
 
            
-draw()[source]
            
+draw()[source]
 
            This method is used to obtain a plot for the specified cable with its supports,
 shape and loads.
            
 
            Examples
            
@@ -1018,7 +1018,7 @@ 
            Cable (Docstrings)
 
            
-plot_tension()[source]
            
+plot_tension()[source]
 
            Returns the diagram/plot of the tension generated in the cable at various points.
            
 
            Examples
            
 
            For point loads,
            
@@ -1057,7 +1057,7 @@ 
            Cable (Docstrings)
 
            
-remove_loads(*args)[source]
            
+remove_loads(*args)[source]
 
            This methods removes the specified loads.
            
 
            
 
            Parameters:
            
@@ -1089,7 +1089,7 @@ 
            Cable (Docstrings)
 
            
-solve(*args)[source]
            
+solve(*args)[source]
 
            This method solves for the reaction forces at the supports, the tension developed in
 the cable, and updates the length of the cable.
            
 
            
@@ -1153,7 +1153,7 @@ 
            Cable (Docstrings)
 
            
-tension_at(x)[source]
            
+tension_at(x)[source]
 
            Returns the tension at a given value of x developed due to
 distributed load.
            
 
            
diff --git a/dev/modules/physics/continuum_mechanics/truss.html b/dev/modules/physics/continuum_mechanics/truss.html
index ad5ef8111cb..8420f36e049 100644
--- a/dev/modules/physics/continuum_mechanics/truss.html
+++ b/dev/modules/physics/continuum_mechanics/truss.html
@@ -804,7 +804,7 @@ 
            Documentation Version
            
 to 2D Trusses.
            
 
            
 
            
-class sympy.physics.continuum_mechanics.truss.Truss[source]
            
+class sympy.physics.continuum_mechanics.truss.Truss[source]
 
            A Truss is an assembly of members such as beams,
 connected by nodes, that create a rigid structure.
 In engineering, a truss is a structure that
@@ -828,7 +828,7 @@ 
            Documentation Version
            
 
          
 
          
 
          
-add_member(*args)[source]
          
+add_member(*args)[source]
 
          This method adds a member between any two nodes in the given truss.
          
 
          
 
          Parameters:
          
@@ -860,7 +860,7 @@ 
          Documentation Version
          
 
 
          
 
          
-add_node(*args)[source]
          
+add_node(*args)[source]
 
          This method adds a node to the truss along with its name/label and its location.
 Multiple nodes can be added at the same time.
          
 
          
@@ -895,7 +895,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_load(*args)[source]
          
+apply_load(*args)[source]
 
          This method applies external load(s) at the specified node(s).
          
 
          
 
          Parameters:
          
@@ -932,7 +932,7 @@ 
          Documentation Version
          
 
 
          
 
          
-apply_support(*args)[source]
          
+apply_support(*args)[source]
 
          This method adds a pinned or roller support at specified node(s).
          
 
          
 
          Parameters:
          
@@ -960,7 +960,7 @@ 
          Documentation Version
          
 
 
          
 
          
-change_member_label(*args)[source]
          
+change_member_label(*args)[source]
 
          This method changes the label(s) of the specified member(s).
          
 
          
 
          Parameters:
          
@@ -997,7 +997,7 @@ 
          Documentation Version
          
 
 
          
 
          
-change_node_label(*args)[source]
          
+change_node_label(*args)[source]
 
          This method changes the label(s) of the specified node(s).
          
 
          
 
          Parameters:
          
@@ -1028,7 +1028,7 @@ 
          Documentation Version
          
 
 
          
 
          
-draw(subs_dict=None)[source]
          
+draw(subs_dict=None)[source]
 
          Returns a plot object of the Truss with all its nodes, members,
 supports and loads.
          
 
          
@@ -1124,7 +1124,7 @@ 
          Documentation Version
          
 
 
          
 
          
-remove_load(*args)[source]
          
+remove_load(*args)[source]
 
          This method removes already
 present external load(s) at specified node(s).
          
 
          
@@ -1164,7 +1164,7 @@ 
          Documentation Version
          
 
 
          
 
          
-remove_member(*args)[source]
          
+remove_member(*args)[source]
 
          This method removes members from the given truss.
          
 
          
 
          Parameters:
          
@@ -1190,7 +1190,7 @@ 
          Documentation Version
          
 
 
          
 
          
-remove_node(*args)[source]
          
+remove_node(*args)[source]
 
          This method removes a node from the truss.
 Multiple nodes can be removed at the same time.
          
 
          
@@ -1217,7 +1217,7 @@ 
          Documentation Version
          
 
 
          
 
          
-remove_support(*args)[source]
          
+remove_support(*args)[source]
 
          This method removes support from specified node(s.)
          
 
          
 
          Parameters:
          
@@ -1243,7 +1243,7 @@ 
          Documentation Version
          
 
 
          
 
          
-solve()[source]
          
+solve()[source]
 
          This method solves for all reaction forces of all supports and all internal forces
 of all the members in the truss, provided the Truss is solvable.
          
 
          A Truss is solvable if the following condition is met,
          
diff --git a/dev/modules/physics/control/control_plots.html b/dev/modules/physics/control/control_plots.html
index 045f01a580f..6628e152ff2 100644
--- a/dev/modules/physics/control/control_plots.html
+++ b/dev/modules/physics/control/control_plots.html
@@ -821,7 +821,7 @@ 
          Pole-Zero Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the Pole-Zero plot (also known as PZ Plot or PZ Map) of a system.
          
 
          A Pole-Zero plot is a graphical representation of a system’s poles and
 zeros. It is plotted on a complex plane, with circular markers representing
@@ -897,7 +897,7 @@ 
          Pole-Zero Plot
 
          
-control_plots.pole_zero_numerical_data()[source]
          
+control_plots.pole_zero_numerical_data()[source]
 
          Returns the numerical data of poles and zeros of the system.
 It is internally used by pole_zero_plot to get the data
 for plotting poles and zeros. Users can use this data to further
@@ -965,7 +965,7 @@ 
          Bode Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the Bode phase and magnitude plots of a continuous-time system.
          
 
          
 
          Parameters:
          
@@ -1043,7 +1043,7 @@ 
          Bode Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the Bode magnitude plot of a continuous-time system.
          
 
          See bode_plot for all the parameters.
          
 
          
@@ -1065,7 +1065,7 @@ 
          Bode Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the Bode phase plot of a continuous-time system.
          
 
          See bode_plot for all the parameters.
          
 
          
@@ -1081,7 +1081,7 @@ 
          Bode Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the numerical data of the Bode magnitude plot of the system.
 It is internally used by bode_magnitude_plot to get the data
 for plotting Bode magnitude plot. Users can use this data to further
@@ -1157,7 +1157,7 @@ 
          Bode Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the numerical data of the Bode phase plot of the system.
 It is internally used by bode_phase_plot to get the data
 for plotting Bode phase plot. Users can use this data to further
@@ -1246,7 +1246,7 @@ 
          Impulse-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the unit impulse response (Input is the Dirac-Delta Function) of a
 continuous-time system.
          
 
          
@@ -1324,7 +1324,7 @@ 
          Impulse-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the numerical values of the points in the impulse response plot
 of a SISO continuous-time system. By default, adaptive sampling
 is used. If the user wants to instead get an uniformly
@@ -1413,7 +1413,7 @@ 
          Step-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the unit step response of a continuous-time system. It is
 the response of the system when the input signal is a step function.
          
 
          
@@ -1491,7 +1491,7 @@ 
          Step-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the numerical values of the points in the step response plot
 of a SISO continuous-time system. By default, adaptive sampling
 is used. If the user wants to instead get an uniformly
@@ -1581,7 +1581,7 @@ 
          Ramp-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the ramp response of a continuous-time system.
          
 
          Ramp function is defined as the straight line
 passing through origin (\(f(x) = mx\)). The slope of
@@ -1667,7 +1667,7 @@ 
          Ramp-Response Plot**kwargs,
          
 
          
 
-)[source]
+)[source]
 
          Returns the numerical values of the points in the ramp response plot
 of a SISO continuous-time system. By default, adaptive sampling
 is used. If the user wants to instead get an uniformly
diff --git a/dev/modules/physics/control/lti.html b/dev/modules/physics/control/lti.html
index cbf056342e3..cbb42de2807 100644
--- a/dev/modules/physics/control/lti.html
+++ b/dev/modules/physics/control/lti.html
@@ -804,7 +804,7 @@ 
          Control API
          lti
          
 
          
 
          
-class sympy.physics.control.lti.TransferFunction(num, den, var)[source]
          
+class sympy.physics.control.lti.TransferFunction(num, den, var)[source]
 
          A class for representing LTI (Linear, time-invariant) systems that can be strictly described
 by ratio of polynomials in the Laplace transform complex variable. The arguments
 are num, den, and var, where num and den are numerator and
@@ -995,7 +995,7 @@ 
          Control API
 
          
-dc_gain()[source]
          
+dc_gain()[source]
 
          Computes the gain of the response as the frequency approaches zero.
          
 
          The DC gain is infinite for systems with pure integrators.
          
 
          Examples
          
@@ -1036,7 +1036,7 @@ 
          Control API
 
          
-eval_frequency(other)[source]
          
+eval_frequency(other)[source]
 
          Returns the system response at any point in the real or complex plane.
          
 
          Examples
          
 
          >>> from sympy.abc import s, p, a
@@ -1057,7 +1057,7 @@ 
          Control API
 
          
-expand()[source]
          
+expand()[source]
 
          Returns the transfer function with numerator and denominator
 in expanded form.
          
 
          Examples
          
@@ -1083,7 +1083,7 @@ 
          Control APIvar,
          
 
          
 
-)[source]
+)[source]
 
          Creates a new TransferFunction efficiently from a list of coefficients.
          
 
          
 
          Parameters:
          
@@ -1133,7 +1133,7 @@ 
          Control APIvar=None,
          
 
          
 
-)[source]
+)[source]
 
          Creates a new TransferFunction efficiently from a rational expression.
          
 
          
 
          Parameters:
          
@@ -1199,7 +1199,7 @@ 
          Control API
 
          
-classmethod from_zpk(zeros, poles, gain, var)[source]
          
+classmethod from_zpk(zeros, poles, gain, var)[source]
 
          Creates a new TransferFunction from given zeros, poles and gain.
          
 
          
 
          Parameters:
          
@@ -1281,7 +1281,7 @@ 
          Control API
 
          
-is_stable()[source]
          
+is_stable()[source]
 
          Returns True if the transfer function is asymptotically stable; else False.
          
 
          This would not check the marginal or conditional stability of the system.
          
 
          Examples
          
@@ -1342,7 +1342,7 @@ 
          Control API
 
          
-poles()[source]
          
+poles()[source]
 
          Returns the poles of a transfer function.
          
 
          Examples
          
 
          >>> from sympy.abc import s, p, a
@@ -1362,7 +1362,7 @@ 
          Control API
 
          
-to_expr()[source]
          
+to_expr()[source]
 
          Converts a TransferFunction object to SymPy Expr.
          
 
          Examples
          
 
          >>> from sympy.abc import s, p, a, b
@@ -1403,7 +1403,7 @@ 
          Control API
 
          
-zeros()[source]
          
+zeros()[source]
 
          Returns the zeros of a transfer function.
          
 
          Examples
          
 
          >>> from sympy.abc import s, p, a
@@ -1425,7 +1425,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.Series(*args, evaluate=False)[source]
          
+class sympy.physics.control.lti.Series(*args, evaluate=False)[source]
 
          A class for representing a series configuration of SISO systems.
          
 
          
 
          Parameters:
          
@@ -1518,7 +1518,7 @@ 
          Control API
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Returns the resultant transfer function or StateSpace obtained after evaluating
 the series interconnection.
          
 
          Examples
          
@@ -1606,7 +1606,7 @@ 
          Control API
 
          
-to_expr()[source]
          
+to_expr()[source]
 
          Returns the equivalent Expr object.
          
 
          
 
@@ -1632,7 +1632,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.Parallel(*args, evaluate=False)[source]
          
+class sympy.physics.control.lti.Parallel(*args, evaluate=False)[source]
 
          A class for representing a parallel configuration of SISO systems.
          
 
          
 
          Parameters:
          
@@ -1728,7 +1728,7 @@ 
          Control API
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Returns the resultant transfer function or state space obtained by
 parallel connection of transfer functions or state space objects.
          
 
          Examples
          
@@ -1812,7 +1812,7 @@ 
          Control API
 
          
-to_expr()[source]
          
+to_expr()[source]
 
          Returns the equivalent Expr object.
          
 
          
 
@@ -1838,7 +1838,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.Feedback(sys1, sys2=None, sign=-1)[source]
          
+class sympy.physics.control.lti.Feedback(sys1, sys2=None, sign=-1)[source]
 
          A class for representing closed-loop feedback interconnection between two
 SISO input/output systems.
          
 
          The first argument, sys1, is the feedforward part of the closed-loop
@@ -1963,7 +1963,7 @@ 
          Control API
 
          
-doit(cancel=False, expand=False, **hints)[source]
          
+doit(cancel=False, expand=False, **hints)[source]
 
          Returns the resultant transfer function or state space obtained by
 feedback connection of transfer functions or state space objects.
          
 
          Examples
          
@@ -2098,7 +2098,7 @@ 
          Control API
 
          
-to_expr()[source]
          
+to_expr()[source]
 
          Converts a Feedback object to SymPy Expr.
          
 
          Examples
          
 
          >>> from sympy.abc import s, a, b
@@ -2142,7 +2142,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.TransferFunctionMatrix(arg)[source]
          
+class sympy.physics.control.lti.TransferFunctionMatrix(arg)[source]
 
          A class for representing the MIMO (multiple-input and multiple-output)
 generalization of the SISO (single-input and single-output) transfer function.
          
 
          It is a matrix of transfer functions (TransferFunction, SISO-Series or SISO-Parallel).
@@ -2496,7 +2496,7 @@ 
          Control API
 
          
-elem_poles()[source]
          
+elem_poles()[source]
 
          Returns the poles of each element of the TransferFunctionMatrix.
          
 
          
 
          Note
          
@@ -2524,7 +2524,7 @@ 
          Control API
 
          
-elem_zeros()[source]
          
+elem_zeros()[source]
 
          Returns the zeros of each element of the TransferFunctionMatrix.
          
 
          
 
          Note
          
@@ -2552,7 +2552,7 @@ 
          Control API
 
          
-eval_frequency(other)[source]
          
+eval_frequency(other)[source]
 
          Evaluates system response of each transfer function in the TransferFunctionMatrix at any point in the real or complex plane.
          
 
          Examples
          
 
          >>> from sympy.abc import s
@@ -2579,13 +2579,13 @@ 
          Control API
 
          
-expand(**hints)[source]
          
+expand(**hints)[source]
 
          Expands the transfer function matrix
          
 
          
 
 
          
 
          
-classmethod from_Matrix(matrix, var)[source]
          
+classmethod from_Matrix(matrix, var)[source]
 
          Creates a new TransferFunctionMatrix efficiently from a SymPy Matrix of Expr objects.
          
 
          
 
          Parameters:
          
@@ -2684,7 +2684,7 @@ 
          Control API
 
          
-transpose()[source]
          
+transpose()[source]
 
          Returns the transpose of the TransferFunctionMatrix (switched input and output layers).
          
 
          
 
@@ -2719,7 +2719,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.PIDController(kp=kp, ki=ki, kd=kd, tf=0, var=s)[source]
          
+class sympy.physics.control.lti.PIDController(kp=kp, ki=ki, kd=kd, tf=0, var=s)[source]
 
          A class for representing PID (Proportional-Integral-Derivative)
 controllers in control systems. The PIDController class is a subclass
 of TransferFunction, representing the controller’s transfer function
@@ -2793,7 +2793,7 @@ 
          Control API
 
          
-doit()[source]
          
+doit()[source]
 
          Convert the PIDController into TransferFunction.
          
 
          
 
@@ -2825,7 +2825,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.MIMOSeries(*args, evaluate=False)[source]
          
+class sympy.physics.control.lti.MIMOSeries(*args, evaluate=False)[source]
 
          A class for representing a series configuration of MIMO systems.
          
 
          
 
          Parameters:
          
@@ -2949,7 +2949,7 @@ 
          Control API
 
          
-doit(cancel=False, **kwargs)[source]
          
+doit(cancel=False, **kwargs)[source]
 
          Returns the resultant obtained after evaluating the MIMO systems arranged
 in a series configuration. For TransferFunction systems it returns a TransferFunctionMatrix
 and for StateSpace systems it returns the resultant StateSpace system.
          
@@ -3006,7 +3006,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.MIMOParallel(*args, evaluate=False)[source]
          
+class sympy.physics.control.lti.MIMOParallel(*args, evaluate=False)[source]
 
          A class for representing a parallel configuration of MIMO systems.
          
 
          
 
          Parameters:
          
@@ -3137,7 +3137,7 @@ 
          Control API
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Returns the resultant transfer function matrix or StateSpace obtained after evaluating
 the MIMO systems arranged in a parallel configuration.
          
 
          Examples
          
@@ -3194,7 +3194,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.MIMOFeedback(sys1, sys2, sign=-1)[source]
          
+class sympy.physics.control.lti.MIMOFeedback(sys1, sys2, sign=-1)[source]
 
          A class for representing closed-loop feedback interconnection between two
 MIMO input/output systems.
          
 
          
@@ -3341,7 +3341,7 @@ 
          Control API**hints,
          
 
          
 
-)[source]
+)[source]
 
          Returns the resultant transfer function matrix obtained by the
 feedback interconnection.
          
 
          Examples
          
@@ -3559,7 +3559,7 @@ 
          Control API
 
          
-class sympy.physics.control.lti.StateSpace(A=None, B=None, C=None, D=None)[source]
          
+class sympy.physics.control.lti.StateSpace(A=None, B=None, C=None, D=None)[source]
 
          State space model (ssm) of a linear, time invariant control system.
          
 
          Represents the standard state-space model with A, B, C, D as state-space matrices.
 This makes the linear control system:
          
@@ -3710,7 +3710,7 @@ 
          Control API
 
          
-append(other)[source]
          
+append(other)[source]
 
          Returns the first model appended with the second model. The order is preserved.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3741,7 +3741,7 @@ 
          Control API
 
          
-controllability_matrix()[source]
          
+controllability_matrix()[source]
 
          
 
          Returns the controllability matrix of the system:
          [B, A * B, A^2 * B, .. , A^(n-1) * B]; A in R^(n x n), B in R^(n x m)
          
 
          
@@ -3771,7 +3771,7 @@ 
          Control API
 
          
-controllable_subspace()[source]
          
+controllable_subspace()[source]
 
          Returns the controllable subspace of the state space model.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3802,7 +3802,7 @@ 
          Control APIvar=t,
          
 
          
 
-)[source]
+)[source]
 
          
 
          Returns \(y(t)\) or output of StateSpace given by the solution of equations:
          x’(t) = A * x(t) + B * u(t)
 y(t)  = C * x(t) + D * u(t)
          
@@ -3895,7 +3895,7 @@ 
          Control API
 
          
-is_controllable()[source]
          
+is_controllable()[source]
 
          Returns if the state space model is controllable.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3913,7 +3913,7 @@ 
          Control API
 
          
-is_observable()[source]
          
+is_observable()[source]
 
          Returns if the state space model is observable.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -3985,7 +3985,7 @@ 
          Control API
 
          
-observability_matrix()[source]
          
+observability_matrix()[source]
 
          
 
          Returns the observability matrix of the state space model:
          [C, C * A^1, C * A^2, .. , C * A^(n-1)]; A in R^(n x n), C in R^(m x k)
          
 
          
@@ -4016,7 +4016,7 @@ 
          Control API
 
          
-observable_subspace()[source]
          
+observable_subspace()[source]
 
          Returns the observable subspace of the state space model.
          
 
          Examples
          
 
          >>> from sympy import Matrix
@@ -4085,7 +4085,7 @@ 
          Control API
 
          
-sympy.physics.control.lti.gbt(tf, sample_per, alpha)[source]
          
+sympy.physics.control.lti.gbt(tf, sample_per, alpha)[source]
 
          Returns falling coefficients of H(z) from numerator and denominator.
          
 
          Explanation
          
 
          Where H(z) is the corresponding discretized transfer function,
@@ -4140,7 +4140,7 @@ 
          Control API
 
          
-sympy.physics.control.lti.bilinear(tf, sample_per)[source]
          
+sympy.physics.control.lti.bilinear(tf, sample_per)[source]
 
          Returns falling coefficients of H(z) from numerator and denominator.
          
 
          Explanation
          
 
          Where H(z) is the corresponding discretized transfer function,
@@ -4167,7 +4167,7 @@ 
          Control API
 
          
-sympy.physics.control.lti.forward_diff(tf, sample_per)[source]
          
+sympy.physics.control.lti.forward_diff(tf, sample_per)[source]
 
          Returns falling coefficients of H(z) from numerator and denominator.
          
 
          Explanation
          
 
          Where H(z) is the corresponding discretized transfer function,
@@ -4194,7 +4194,7 @@ 
          Control API
 
          
-sympy.physics.control.lti.backward_diff(tf, sample_per)[source]
          
+sympy.physics.control.lti.backward_diff(tf, sample_per)[source]
 
          Returns falling coefficients of H(z) from numerator and denominator.
          
 
          Explanation
          
 
          Where H(z) is the corresponding discretized transfer function,
diff --git a/dev/modules/physics/hep/index.html b/dev/modules/physics/hep/index.html
index 46008db23f0..c4394746af3 100644
--- a/dev/modules/physics/hep/index.html
+++ b/dev/modules/physics/hep/index.html
@@ -833,7 +833,7 @@ 
          Examples
 
 
          
 
          
-sympy.physics.hep.gamma_matrices.extract_type_tens(expression, component)[source]
          
+sympy.physics.hep.gamma_matrices.extract_type_tens(expression, component)[source]
 
          Extract from a TensExpr all tensors with \(component\).
          
 
          Returns two tensor expressions:
          
 
            
@@ -844,7 +844,7 @@ 
            Examples
 
 
            
 
            
-sympy.physics.hep.gamma_matrices.gamma_trace(t)[source]
            
+sympy.physics.hep.gamma_matrices.gamma_trace(t)[source]
 
            trace of a single line of gamma matrices
            
 
            Examples
            
 
            >>> from sympy.physics.hep.gamma_matrices import GammaMatrix as G,         gamma_trace, LorentzIndex
@@ -865,7 +865,7 @@ 
            Examples
 
 
            
 
            
-sympy.physics.hep.gamma_matrices.kahane_simplify(expression)[source]
            
+sympy.physics.hep.gamma_matrices.kahane_simplify(expression)[source]
 
            This function cancels contracted elements in a product of four
 dimensional gamma matrices, resulting in an expression equal to the given
 one, without the contracted gamma matrices.
            
@@ -932,7 +932,7 @@ 
            Examples
 
 
            
 
            
-sympy.physics.hep.gamma_matrices.simplify_gpgp(ex, sort=True)[source]
            
+sympy.physics.hep.gamma_matrices.simplify_gpgp(ex, sort=True)[source]
 
            simplify products G(i)*p(-i)*G(j)*p(-j) -> p(i)*p(-i)
            
 
            Examples
            
 
            >>> from sympy.physics.hep.gamma_matrices import GammaMatrix as G,         LorentzIndex, simplify_gpgp
diff --git a/dev/modules/physics/hydrogen.html b/dev/modules/physics/hydrogen.html
index 8af21b17b01..bfd9576e682 100644
--- a/dev/modules/physics/hydrogen.html
+++ b/dev/modules/physics/hydrogen.html
@@ -802,7 +802,7 @@ 
            Documentation Version
            
 
            Hydrogen Wavefunctions
            
 
            
 
            
-sympy.physics.hydrogen.E_nl(n, Z=1)[source]
            
+sympy.physics.hydrogen.E_nl(n, Z=1)[source]
 
            Returns the energy of the state (n, l) in Hartree atomic units.
            
 
            The energy does not depend on “l”.
            
 
            
@@ -847,7 +847,7 @@ 
            Documentation Version
            
 
            c=137.035999037000,
            
 
            
 
-)[source]
+)[source]
 
            Returns the relativistic energy of the state (n, l, spin) in Hartree atomic
 units.
            
 
            The energy is calculated from the Dirac equation. The rest mass energy is
@@ -909,7 +909,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.hydrogen.Psi_nlm(n, l, m, r, phi, theta, Z=1)[source]
            
+sympy.physics.hydrogen.Psi_nlm(n, l, m, r, phi, theta, Z=1)[source]
 
            Returns the Hydrogen wave function psi_{nlm}. It’s the product of
 the radial wavefunction R_{nl} and the spherical harmonic Y_{l}^{m}.
            
 
            
@@ -976,7 +976,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.hydrogen.R_nl(n, l, r, Z=1)[source]
            
+sympy.physics.hydrogen.R_nl(n, l, r, Z=1)[source]
 
            Returns the Hydrogen radial wavefunction R_{nl}.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/matrices.html b/dev/modules/physics/matrices.html
index c7659a931dc..bf590a4fecd 100644
--- a/dev/modules/physics/matrices.html
+++ b/dev/modules/physics/matrices.html
@@ -803,7 +803,7 @@ 
            Documentation Version
            
 
            Known matrices related to physics
            
 
            
 
            
-sympy.physics.matrices.mdft(n)[source]
            
+sympy.physics.matrices.mdft(n)[source]
 
            
 
            Deprecated since version 1.9: Use DFT from sympy.matrices.expressions.fourier instead.
            
 
            To get identical behavior to mdft(n), use DFT(n).as_explicit().
            
@@ -812,7 +812,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.matrices.mgamma(mu, lower=False)[source]
            
+sympy.physics.matrices.mgamma(mu, lower=False)[source]
 
            Returns a Dirac gamma matrix \(\gamma^\mu\) in the standard
 (Dirac) representation.
            
 
            Explanation
            
@@ -841,7 +841,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.matrices.msigma(i)[source]
            
+sympy.physics.matrices.msigma(i)[source]
 
            Returns a Pauli matrix \(\sigma_i\) with \(i=1,2,3\).
            
 
            Examples
            
 
            >>> from sympy.physics.matrices import msigma
@@ -862,7 +862,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.matrices.pat_matrix(m, dx, dy, dz)[source]
            
+sympy.physics.matrices.pat_matrix(m, dx, dy, dz)[source]
 
            Returns the Parallel Axis Theorem matrix to translate the inertia
 matrix a distance of \((dx, dy, dz)\) for a body of mass m.
            
 
            Examples
            
diff --git a/dev/modules/physics/mechanics/api/actuator.html b/dev/modules/physics/mechanics/api/actuator.html
index a55a6afec44..4e93c51fc07 100644
--- a/dev/modules/physics/mechanics/api/actuator.html
+++ b/dev/modules/physics/mechanics/api/actuator.html
@@ -803,14 +803,14 @@ 
            Documentation Version
            
 
            Implementations of actuators for linked force and torque application.
            
 
            
 
            
-class sympy.physics.mechanics.actuator.ActuatorBase[source]
            
+class sympy.physics.mechanics.actuator.ActuatorBase[source]
 
            Abstract base class for all actuator classes to inherit from.
            
 
            Notes
            
 
            Instances of this class cannot be directly instantiated by users. However,
 it can be used to created custom actuator types through subclassing.
            
 
            
 
            
-abstract to_loads()[source]
            
+abstract to_loads()[source]
 
            Loads required by the equations of motion method classes.
            
 
            Explanation
            
 
            KanesMethod requires a list of Point-Vector tuples to be
@@ -839,7 +839,7 @@ 
            Documentation Version
            
 
            mu_s=None,
            
 
            
 
-)[source]
+)[source]
 
            Coulomb kinetic friction with Stribeck and viscous effects.
            
 
            
 
            Parameters:
            
@@ -998,7 +998,7 @@ 
            Documentation Version
            
 
            equilibrium_length=0,
            
 
            
 
-)[source]
+)[source]
 
            A nonlinear spring based on the Duffing equation.
            
 
            
 
            Parameters:
            
@@ -1034,7 +1034,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.actuator.ForceActuator(force, pathway)[source]
            
+class sympy.physics.mechanics.actuator.ForceActuator(force, pathway)[source]
 
            Force-producing actuator.
            
 
            
 
            Parameters:
            
@@ -1112,7 +1112,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_loads()[source]
            
+to_loads()[source]
 
            Loads required by the equations of motion method classes.
            
 
            Explanation
            
 
            KanesMethod requires a list of Point-Vector tuples to be
@@ -1183,7 +1183,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.actuator.LinearDamper(damping, pathway)[source]
            
+class sympy.physics.mechanics.actuator.LinearDamper(damping, pathway)[source]
 
            A damper whose force is a linear function of its extension velocity.
            
 
            
 
            Parameters:
            
@@ -1301,7 +1301,7 @@ 
            Documentation Version
            
 
            equilibrium_length=0,
            
 
            
 
-)[source]
+)[source]
 
            A spring with its spring force as a linear function of its length.
            
 
            
 
            Parameters:
            
@@ -1438,7 +1438,7 @@ 
            Documentation Version
            
 
            reaction_frame=None,
            
 
            
 
-)[source]
+)[source]
 
            Torque-producing actuator.
            
 
            
 
            Parameters:
            
@@ -1489,7 +1489,7 @@ 
            Documentation Version
            
 when one is passed instead of a ReferenceFrame.
            
 
            
 
            
-classmethod at_pin_joint(torque, pin_joint)[source]
            
+classmethod at_pin_joint(torque, pin_joint)[source]
 
            Alternate construtor to instantiate from a PinJoint instance.
            
 
            
 
            Parameters:
            
@@ -1568,7 +1568,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_loads()[source]
            
+to_loads()[source]
 
            Loads required by the equations of motion method classes.
            
 
            Explanation
            
 
            KanesMethod requires a list of Point-Vector tuples to be
diff --git a/dev/modules/physics/mechanics/api/deprecated_classes.html b/dev/modules/physics/mechanics/api/deprecated_classes.html
index 1500e538dea..1d1bdc2dee8 100644
--- a/dev/modules/physics/mechanics/api/deprecated_classes.html
+++ b/dev/modules/physics/mechanics/api/deprecated_classes.html
@@ -818,7 +818,7 @@ 
            Deprecated Classes (Docstrings)central_inertia=None,
            
 
            
 
-)[source]
+)[source]
 
            Body is a common representation of either a RigidBody or a Particle SymPy
 object depending on what is passed in during initialization. If a mass is
 passed in and central_inertia is left as None, the Particle object is
@@ -929,7 +929,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-ang_vel_in(body)[source]
            
+ang_vel_in(body)[source]
 
            Returns this body’s angular velocity with respect to the provided
 rigid body or reference frame.
            
 
            
@@ -963,7 +963,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-angular_momentum(point, frame)[source]
            
+angular_momentum(point, frame)[source]
 
            Returns the angular momentum of the rigid body about a point in the
 given frame.
            
 
            
@@ -1016,7 +1016,7 @@ 
            Deprecated Classes (Docstrings)reaction_point=None,
            
 
            
 
-)[source]
+)[source]
 
            Add force to the body(s).
            
 
            
 
            Parameters:
            
@@ -1110,7 +1110,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-apply_torque(torque, reaction_body=None)[source]
            
+apply_torque(torque, reaction_body=None)[source]
 
            Add torque to the body(s).
            
 
            
 
            Parameters:
            
@@ -1196,7 +1196,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-clear_loads()[source]
            
+clear_loads()[source]
 
            Clears the Body’s loads list.
            
 
            Example
            
 
            As Body has been deprecated, the following examples are for illustrative
@@ -1220,7 +1220,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-dcm(body)[source]
            
+dcm(body)[source]
 
            Returns the direction cosine matrix of this body relative to the
 provided rigid body or reference frame.
            
 
            
@@ -1270,7 +1270,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-kinetic_energy(frame)[source]
            
+kinetic_energy(frame)[source]
 
            Kinetic energy of the body.
            
 
            
 
            Parameters:
            
@@ -1322,7 +1322,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-linear_momentum(frame)[source]
            
+linear_momentum(frame)[source]
 
            Linear momentum of the rigid body.
            
 
            
 
            Parameters:
            
@@ -1370,7 +1370,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-masscenter_vel(body)[source]
            
+masscenter_vel(body)[source]
 
            Returns the velocity of the mass center with respect to the provided
 rigid body or reference frame.
            
 
            
@@ -1408,7 +1408,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-parallel_axis(point, frame=None)[source]
            
+parallel_axis(point, frame=None)[source]
 
            Returns the inertia dyadic of the body with respect to another
 point.
            
 
            
@@ -1474,7 +1474,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-remove_load(about=None)[source]
            
+remove_load(about=None)[source]
 
            Remove load about a point or frame.
            
 
            
 
            Parameters:
            
@@ -1534,7 +1534,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-class sympy.physics.mechanics.jointsmethod.JointsMethod(newtonion, *joints)[source]
            
+class sympy.physics.mechanics.jointsmethod.JointsMethod(newtonion, *joints)[source]
 
            Method for formulating the equations of motion using a set of interconnected bodies with joints.
            
 
            
 
            Deprecated since version 1.13: The JointsMethod class is deprecated. Its functionality has been
@@ -1650,7 +1650,7 @@ 
            Deprecated Classes (Docstrings)method=<class 'sympy.physics.mechanics.kane.KanesMethod'>,
            
 
            
 
-)[source]
+)[source]
 
            Method to form system’s equation of motions.
            
 
            
 
            Parameters:
            
@@ -1743,7 +1743,7 @@ 
            Deprecated Classes (Docstrings)
 
            
-rhs(inv_method=None)[source]
            
+rhs(inv_method=None)[source]
 
            Returns equations that can be solved numerically.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/mechanics/api/expr_manip.html b/dev/modules/physics/mechanics/api/expr_manip.html
index ef92fb16f70..83839ed845d 100644
--- a/dev/modules/physics/mechanics/api/expr_manip.html
+++ b/dev/modules/physics/mechanics/api/expr_manip.html
@@ -802,7 +802,7 @@ 
            Documentation Version
            
 
            Expression Manipulation (Docstrings)
            
 
            
 
            
-sympy.physics.mechanics.msubs(expr, *sub_dicts, smart=False, **kwargs)[source]
            
+sympy.physics.mechanics.msubs(expr, *sub_dicts, smart=False, **kwargs)[source]
 
            A custom subs for use on expressions derived in physics.mechanics.
            
 
            Traverses the expression tree once, performing the subs found in sub_dicts.
 Terms inside Derivative expressions are ignored:
            
@@ -848,7 +848,7 @@ 
            Expression Manipulation (Docstrings)reference_frame=None,
            
 
            
 
-)[source]
+)[source]
 
            Find all dynamicsymbols in expression.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/mechanics/api/joint.html b/dev/modules/physics/mechanics/api/joint.html
index ef334854c61..94baaa361fc 100644
--- a/dev/modules/physics/mechanics/api/joint.html
+++ b/dev/modules/physics/mechanics/api/joint.html
@@ -822,7 +822,7 @@ 
            Joints Framework (Docstrings)child_joint_pos=None,
            
 
            
 
-)[source]
+)[source]
 
            Abstract base class for all specific joints.
            
 
            
 
            Parameters:
            
@@ -1056,7 +1056,7 @@ 
            Joints Framework (Docstrings)child_joint_pos=None,
            
 
            
 
-)[source]
+)[source]
 
            Pin (Revolute) Joint.
            
 
  
@@ -1387,7 +1387,7 @@ 
            Joints Framework (Docstrings)child_joint_pos=None,
            
 
            
 
-)[source]
+)[source]
 
            Prismatic (Sliding) Joint.
            
 ../../../../_images/PrismaticJoint.svg
 
            
@@ -1674,7 +1674,7 @@ 
            Joints Framework (Docstrings)joint_axis=None,
            
 
            
 
-)[source]
+)[source]
 
            Cylindrical Joint.
            
 ../../../../_images/CylindricalJoint.svg
 
@@ -1980,7 +1980,7 @@ 
            Joints Framework (Docstrings)child_interframe=None,
            
 
            
 
-)[source]
+)[source]
 
            Planar Joint.
            
 Joints Framework (Docstrings)rot_order=123,
            
 
            
 
-)[source]
+)[source]
 
            Spherical (Ball-and-Socket) Joint.
            
 ../../../../_images/SphericalJoint.svg
 
@@ -2747,7 +2747,7 @@ 
            Joints Framework (Docstrings)child_interframe=None,
            
 
            
 
-)[source]
+)[source]
 
            Weld Joint.
            
 
  
diff --git a/dev/modules/physics/mechanics/api/kane_lagrange.html b/dev/modules/physics/mechanics/api/kane_lagrange.html
index cf99be45fda..6c10e334d99 100644
--- a/dev/modules/physics/mechanics/api/kane_lagrange.html
+++ b/dev/modules/physics/mechanics/api/kane_lagrange.html
@@ -822,7 +822,7 @@ 
            Documentation Version
            
 
            constraint_solver='LU',
            
 
            
 
-)[source]
+)[source]
 
            Kane’s method object.
            
 
            
 
            Parameters:
            
@@ -1067,7 +1067,7 @@ 
            Documentation Version
            
 
            loads=None,
            
 
            
 
-)[source]
+)[source]
 
            Method to form Kane’s equations, Fr + Fr* = 0.
            
 
            
 
            Parameters:
            
@@ -1096,7 +1096,7 @@ 
            Documentation Version
            
 
 
            
 
            
-kindiffdict()[source]
            
+kindiffdict()[source]
 
            Returns a dictionary mapping q’ to u.
            
 
            
 
@@ -1111,7 +1111,7 @@ 
            Documentation Version
            
 
            **kwargs,
            
 
            
 
-)[source]
+)[source]
 
            Linearize the equations of motion about a symbolic operating point.
            
 
            
 
            Parameters:
            
@@ -1179,7 +1179,7 @@ 
            Documentation Version
            
 
 
            
 
            
-rhs(inv_method=None)[source]
            
+rhs(inv_method=None)[source]
 
            Returns the system’s equations of motion in first order form. The
 output is the right hand side of:
            
 
            x' = |q'| =: f(q, u, r, p, t)
@@ -1202,7 +1202,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_linearizer(linear_solver='LU')[source]
            
+to_linearizer(linear_solver='LU')[source]
 
            Returns an instance of the Linearizer class, initiated from the
 data in the KanesMethod class. This may be more desirable than using
 the linearize class method, as the Linearizer object will allow more
@@ -1248,7 +1248,7 @@ 
            Documentation Version
            
 
            nonhol_coneqs=None,
            
 
            
 
-)[source]
+)[source]
 
            Lagrange’s method object.
            
 
            Explanation
            
 
            This object generates the equations of motion in a two step procedure. The
@@ -1352,7 +1352,7 @@ 
            Documentation Version
            
 
 
            
 
            
-form_lagranges_equations()[source]
            
+form_lagranges_equations()[source]
 
            Method to form Lagrange’s equations of motion.
            
 
            Returns a vector of equations of motion using Lagrange’s equations of
 the second kind.
            
@@ -1371,7 +1371,7 @@ 
            Documentation Version
            
 
            **kwargs,
            
 
            
 
-)[source]
+)[source]
 
            Linearize the equations of motion about a symbolic operating point.
            
 
            
 
            Parameters:
            
@@ -1436,7 +1436,7 @@ 
            Documentation Version
            
 
 
            
 
            
-rhs(inv_method=None, **kwargs)[source]
            
+rhs(inv_method=None, **kwargs)[source]
 
            Returns equations that can be solved numerically.
            
 
            
 
            Parameters:
            
@@ -1459,7 +1459,7 @@ 
            Documentation Version
            
 
            sol_type='dict',
            
 
            
 
-)[source]
+)[source]
 
            Solves for the values of the lagrange multipliers symbolically at
 the specified operating point.
            
 
            
@@ -1492,7 +1492,7 @@ 
            Documentation Version
            
 
            linear_solver='LU',
            
 
            
 
-)[source]
+)[source]
 
            Returns an instance of the Linearizer class, initiated from the data
 in the LagrangesMethod class. This may be more desirable than using the
 linearize class method, as the Linearizer object will allow more
diff --git a/dev/modules/physics/mechanics/api/linearize.html b/dev/modules/physics/mechanics/api/linearize.html
index 7e80d97dcb8..2c3bff543d0 100644
--- a/dev/modules/physics/mechanics/api/linearize.html
+++ b/dev/modules/physics/mechanics/api/linearize.html
@@ -824,7 +824,7 @@ 
            Documentation Version
            
 
            linear_solver='LU',
            
 
            
 
-)[source]
+)[source]
 
            This object holds the general model form for a dynamic system. This
 model is used for computing the linearized form of the system, while
 properly dealing with constraints leading to  dependent coordinates and
@@ -886,7 +886,7 @@ 
            Documentation Version
            
 
            linear_solver='LU',
            
 
            
 
-)[source]
+)[source]
 
            
 
            Parameters:
            
 
            f_0, f_1, f_2, f_3, f_4, f_c, f_v, f_a : array_like
            
@@ -945,7 +945,7 @@ 
            Documentation Version
            
 
            simplify=False,
            
 
            
 
-)[source]
+)[source]
 
            Linearize the system about the operating point. Note that
 q_op, u_op, qd_op, ud_op must satisfy the equations of motion.
 These may be either symbolic or numeric.
            
diff --git a/dev/modules/physics/mechanics/api/part_bod.html b/dev/modules/physics/mechanics/api/part_bod.html
index c310b334e6d..cb5469289a8 100644
--- a/dev/modules/physics/mechanics/api/part_bod.html
+++ b/dev/modules/physics/mechanics/api/part_bod.html
@@ -804,7 +804,7 @@ 
            Documentation Version
            
 
            Bodies
            
 
            
 
            
-class sympy.physics.mechanics.particle.Particle(name, point=None, mass=None)[source]
            
+class sympy.physics.mechanics.particle.Particle(name, point=None, mass=None)[source]
 
            A particle.
            
 
            
 
            Parameters:
            
@@ -844,7 +844,7 @@ 
            Bodies
 
            
 
            
-angular_momentum(point, frame)[source]
            
+angular_momentum(point, frame)[source]
 
            Angular momentum of the particle about the point.
            
 
            
 
            Parameters:
            
@@ -884,7 +884,7 @@ 
            Bodies
 
            
-kinetic_energy(frame)[source]
            
+kinetic_energy(frame)[source]
 
            Kinetic energy of the particle.
            
 
            
 
            Parameters:
            
@@ -917,7 +917,7 @@ 
            Bodies
 
            
-linear_momentum(frame)[source]
            
+linear_momentum(frame)[source]
 
            Linear momentum of the particle.
            
 
            
 
            Parameters:
            
@@ -969,7 +969,7 @@ 
            Bodies
 
            
-parallel_axis(point, frame)[source]
            
+parallel_axis(point, frame)[source]
 
            Returns an inertia dyadic of the particle with respect to another
 point and frame.
            
 
            
@@ -1030,7 +1030,7 @@ 
            Bodiesinertia=None,
            
 
            
 
-)[source]
+)[source]
 
            An idealized rigid body.
            
 
            Explanation
            
 
            This is essentially a container which holds the various components which
@@ -1080,7 +1080,7 @@ 
            Bodies
 
            
 
            
-angular_momentum(point, frame)[source]
            
+angular_momentum(point, frame)[source]
 
            Returns the angular momentum of the rigid body about a point in the
 given frame.
            
 
            
@@ -1142,7 +1142,7 @@ 
            Bodies
 
            
-kinetic_energy(frame)[source]
            
+kinetic_energy(frame)[source]
 
            Kinetic energy of the rigid body.
            
 
            
 
            Parameters:
            
@@ -1182,7 +1182,7 @@ 
            Bodies
 
            
-linear_momentum(frame)[source]
            
+linear_momentum(frame)[source]
 
            Linear momentum of the rigid body.
            
 
            
 
            Parameters:
            
@@ -1236,7 +1236,7 @@ 
            Bodies
 
            
-parallel_axis(point, frame=None)[source]
            
+parallel_axis(point, frame=None)[source]
 
            Returns the inertia dyadic of the body with respect to another point.
            
 
            
 
            Parameters:
            
@@ -1301,7 +1301,7 @@ 
            BodiesInertias
            
 
            
 
            
-class sympy.physics.mechanics.inertia.Inertia(dyadic, point)[source]
            
+class sympy.physics.mechanics.inertia.Inertia(dyadic, point)[source]
 
            Inertia object consisting of a Dyadic and a Point of reference.
            
 
            Explanation
            
 
            This is a simple class to store the Point and Dyadic, belonging to an
@@ -1349,7 +1349,7 @@ 
            Inertias
 
            izx=0,
            
 
            
 
-)[source]
+)[source]
 
            Simple way to create an Inertia object based on the tensor values.
            
 
            
 
            Parameters:
            
@@ -1414,7 +1414,7 @@ 
            Inertias
 
 
            
 
            
-sympy.physics.mechanics.inertia.inertia(frame, ixx, iyy, izz, ixy=0, iyz=0, izx=0)[source]
            
+sympy.physics.mechanics.inertia.inertia(frame, ixx, iyy, izz, ixy=0, iyz=0, izx=0)[source]
 
            Simple way to create inertia Dyadic object.
            
 
            
 
            Parameters:
            
@@ -1462,7 +1462,7 @@ 
            Inertias
 
 
            
 
            
-sympy.physics.mechanics.inertia.inertia_of_point_mass(mass, pos_vec, frame)[source]
            
+sympy.physics.mechanics.inertia.inertia_of_point_mass(mass, pos_vec, frame)[source]
 
            Inertia dyadic of a point mass relative to point O.
            
 
            
 
            Parameters:
            
@@ -1497,7 +1497,7 @@ 
            Inertias
 
            Loads
            
 
            
 
            
-class sympy.physics.mechanics.loads.Force(point, force)[source]
            
+class sympy.physics.mechanics.loads.Force(point, force)[source]
 
            Force acting upon a point.
            
 
            Explanation
            
 
            A force is a vector that is bound to a line of action. This class stores
@@ -1525,7 +1525,7 @@ 
            Loads
 
 
            
 
            
-class sympy.physics.mechanics.loads.Torque(frame, torque)[source]
            
+class sympy.physics.mechanics.loads.Torque(frame, torque)[source]
 
            Torque acting upon a frame.
            
 
            Explanation
            
 
            A torque is a free vector that is acting on a reference frame, which is
@@ -1555,7 +1555,7 @@ 
            Loads
 
            Other Functions
            
 
            
 
            
-sympy.physics.mechanics.functions.center_of_mass(point, *bodies)[source]
            
+sympy.physics.mechanics.functions.center_of_mass(point, *bodies)[source]
 
            Returns the position vector from the given point to the center of mass
 of the given bodies(particles or rigidbodies).
            
 
            Example
            
@@ -1588,7 +1588,7 @@ 
            Other Functions
 
            
-sympy.physics.mechanics.functions.linear_momentum(frame, *body)[source]
            
+sympy.physics.mechanics.functions.linear_momentum(frame, *body)[source]
 
            Linear momentum of the system.
            
 
            
 
            Parameters:
            
@@ -1629,7 +1629,7 @@ 
            Other Functions
 
            
-sympy.physics.mechanics.functions.angular_momentum(point, frame, *body)[source]
            
+sympy.physics.mechanics.functions.angular_momentum(point, frame, *body)[source]
 
            Angular momentum of a system.
            
 
            
 
            Parameters:
            
@@ -1678,7 +1678,7 @@ 
            Other Functions
 
            
-sympy.physics.mechanics.functions.kinetic_energy(frame, *body)[source]
            
+sympy.physics.mechanics.functions.kinetic_energy(frame, *body)[source]
 
            Kinetic energy of a multibody system.
            
 
            
 
            Parameters:
            
@@ -1725,7 +1725,7 @@ 
            Other Functions
 
            
-sympy.physics.mechanics.functions.potential_energy(*body)[source]
            
+sympy.physics.mechanics.functions.potential_energy(*body)[source]
 
            Potential energy of a multibody system.
            
 
            
 
            Parameters:
            
@@ -1768,7 +1768,7 @@ 
            Other Functions
 
            
-sympy.physics.mechanics.functions.Lagrangian(frame, *body)[source]
            
+sympy.physics.mechanics.functions.Lagrangian(frame, *body)[source]
 
            Lagrangian of a multibody system.
            
 
            
 
            Parameters:
            
@@ -1826,7 +1826,7 @@ 
            Other Functionsreference_frame=None,
            
 
            
 
-)[source]
+)[source]
 
            Find all dynamicsymbols in expression.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/mechanics/api/pathway.html b/dev/modules/physics/mechanics/api/pathway.html
index bea2692b60b..2d05dfe81c6 100644
--- a/dev/modules/physics/mechanics/api/pathway.html
+++ b/dev/modules/physics/mechanics/api/pathway.html
@@ -803,7 +803,7 @@ 
            Documentation Version
            
 
            Implementations of pathways for use by actuators.
            
 
            
 
            
-class sympy.physics.mechanics.pathway.LinearPathway(*attachments)[source]
            
+class sympy.physics.mechanics.pathway.LinearPathway(*attachments)[source]
 
            Linear pathway between a pair of attachment points.
            
 
            
 
            Parameters:
            
@@ -893,7 +893,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_loads(force)[source]
            
+to_loads(force)[source]
 
            Loads required by the equations of motion method classes.
            
 
            
 
            Parameters:
            
@@ -947,7 +947,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.pathway.ObstacleSetPathway(*attachments)[source]
            
+class sympy.physics.mechanics.pathway.ObstacleSetPathway(*attachments)[source]
 
            Obstacle-set pathway between a set of attachment points.
            
 
            
 
            Parameters:
            
@@ -1028,7 +1028,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_loads(force)[source]
            
+to_loads(force)[source]
 
            Loads required by the equations of motion method classes.
            
 
            
 
            Parameters:
            
@@ -1095,7 +1095,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.pathway.PathwayBase(*attachments)[source]
            
+class sympy.physics.mechanics.pathway.PathwayBase(*attachments)[source]
 
            Abstract base class for all pathway classes to inherit from.
            
 
            Notes
            
 
            Instances of this class cannot be directly instantiated by users. However,
@@ -1120,7 +1120,7 @@ 
            Documentation Version
            
 
 
            
 
            
-abstract to_loads(force)[source]
            
+abstract to_loads(force)[source]
 
            Loads required by the equations of motion method classes.
            
 
            Explanation
            
 
            KanesMethod requires a list of Point-Vector tuples to be
@@ -1145,7 +1145,7 @@ 
            Documentation Version
            
 
            geometry,
            
 
            
 
-)[source]
+)[source]
 
            Pathway that wraps a geometry object.
            
 
            
 
            Parameters:
            
@@ -1232,7 +1232,7 @@ 
            Documentation Version
            
 
 
            
 
            
-to_loads(force)[source]
            
+to_loads(force)[source]
 
            Loads required by the equations of motion method classes.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/mechanics/api/system.html b/dev/modules/physics/mechanics/api/system.html
index a4bdc553bb1..1f9e287909f 100644
--- a/dev/modules/physics/mechanics/api/system.html
+++ b/dev/modules/physics/mechanics/api/system.html
@@ -818,7 +818,7 @@ 
            System (Docstrings)loads=None,
            
 
            
 
-)[source]
+)[source]
 
            SymbolicSystem is a class that contains all the information about a
 system in a symbolic format such as the equations of motions and the bodies
 and loads in the system.
            
@@ -1020,7 +1020,7 @@ 
            System (Docstrings)
 
            
-compute_explicit_form()[source]
            
+compute_explicit_form()[source]
 
            If the explicit right hand side of the combined equations of motion
 is to provided upon initialization, this method will calculate it. This
 calculation can potentially take awhile to compute.
            
@@ -1028,7 +1028,7 @@ 
            System (Docstrings)
 
            
-constant_symbols()[source]
            
+constant_symbols()[source]
 
            Returns a column matrix containing all of the symbols in the system
 that do not depend on time
            
 
            
@@ -1057,7 +1057,7 @@ 
            System (Docstrings)
 
            
-dynamic_symbols()[source]
            
+dynamic_symbols()[source]
 
            Returns a column matrix containing all of the symbols in the system
 that depend on time
            
 
            
@@ -1091,7 +1091,7 @@ 
            System (Docstrings)
 
            
-class sympy.physics.mechanics.system.System(frame=None, fixed_point=None)[source]
            
+class sympy.physics.mechanics.system.System(frame=None, fixed_point=None)[source]
 
            Class to define a multibody system and form its equations of motion.
            
 
            Explanation
            
 
            A System instance stores the different objects associated with a model,
@@ -1306,7 +1306,7 @@ 
            System (Docstrings)
 
            
-add_actuators(*actuators)[source]
            
+add_actuators(*actuators)[source]
 
            Add actuator(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1320,7 +1320,7 @@ 
            System (Docstrings)
 
            
-add_auxiliary_speeds(*speeds)[source]
            
+add_auxiliary_speeds(*speeds)[source]
 
            Add auxiliary speed(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1334,7 +1334,7 @@ 
            System (Docstrings)
 
            
-add_bodies(*bodies)[source]
            
+add_bodies(*bodies)[source]
 
            Add body(ies) to the system.
            
 
            
 
            Parameters:
            
@@ -1355,7 +1355,7 @@ 
            System (Docstrings)independent=True,
            
 
            
 
-)[source]
+)[source]
 
            Add generalized coordinate(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1375,7 +1375,7 @@ 
            System (Docstrings)
 
            
-add_holonomic_constraints(*constraints)[source]
            
+add_holonomic_constraints(*constraints)[source]
 
            Add holonomic constraint(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1390,7 +1390,7 @@ 
            System (Docstrings)
 
            
-add_joints(*joints)[source]
            
+add_joints(*joints)[source]
 
            Add joint(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1414,7 +1414,7 @@ 
            System (Docstrings)
 
            
-add_kdes(*kdes)[source]
            
+add_kdes(*kdes)[source]
 
            Add kinematic differential equation(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1428,7 +1428,7 @@ 
            System (Docstrings)
 
            
-add_loads(*loads)[source]
            
+add_loads(*loads)[source]
 
            Add load(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1442,7 +1442,7 @@ 
            System (Docstrings)
 
            
-add_nonholonomic_constraints(*constraints)[source]
            
+add_nonholonomic_constraints(*constraints)[source]
 
            Add nonholonomic constraint(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1457,7 +1457,7 @@ 
            System (Docstrings)
 
            
-add_speeds(*speeds, independent=True)[source]
            
+add_speeds(*speeds, independent=True)[source]
 
            Add generalized speed(s) to the system.
            
 
            
 
            Parameters:
            
@@ -1476,7 +1476,7 @@ 
            System (Docstrings)
 
            
-apply_uniform_gravity(acceleration)[source]
            
+apply_uniform_gravity(acceleration)[source]
 
            Apply uniform gravity to all bodies in the system by adding loads.
            
 
            
 
            Parameters:
            
@@ -1528,7 +1528,7 @@ 
            System (Docstrings)**kwargs,
            
 
            
 
-)[source]
+)[source]
 
            Form the equations of motion of the system.
            
 
            
 
            Parameters:
            
@@ -1582,13 +1582,13 @@ 
            System (Docstrings)
 
            
-classmethod from_newtonian(newtonian)[source]
            
+classmethod from_newtonian(newtonian)[source]
 
            Constructs the system with respect to a Newtonian body.
            
 
            
 
 
            
 
            
-get_body(name)[source]
            
+get_body(name)[source]
 
            Retrieve a body from the system by name.
            
 
            
 
            Parameters:
            
@@ -1608,7 +1608,7 @@ 
            System (Docstrings)
 
            
-get_joint(name)[source]
            
+get_joint(name)[source]
 
            Retrieve a joint from the system by name.
            
 
            
 
            Parameters:
            
@@ -1711,7 +1711,7 @@ 
            System (Docstrings)
 
            
-rhs(inv_method=None)[source]
            
+rhs(inv_method=None)[source]
 
            Compute the equations of motion in the explicit form.
            
 
            
 
            Parameters:
            
@@ -1774,7 +1774,7 @@ 
            System (Docstrings)check_duplicates=False,
            
 
            
 
-)[source]
+)[source]
 
            Validates the system using some basic checks.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/mechanics/api/wrapping_geometry.html b/dev/modules/physics/mechanics/api/wrapping_geometry.html
index 4e85281ded6..aef5a5c7ef3 100644
--- a/dev/modules/physics/mechanics/api/wrapping_geometry.html
+++ b/dev/modules/physics/mechanics/api/wrapping_geometry.html
@@ -803,7 +803,7 @@ 
            Documentation Version
            
 
            Geometry objects for use by wrapping pathways.
            
 
            
 
            
-class sympy.physics.mechanics.wrapping_geometry.WrappingCylinder(radius, point, axis)[source]
            
+class sympy.physics.mechanics.wrapping_geometry.WrappingCylinder(radius, point, axis)[source]
 
            A solid (infinite) cylindrical object.
            
 
            
 
            Parameters:
            
@@ -870,7 +870,7 @@ 
            Documentation Version
            
 
            point_2,
            
 
            
 
-)[source]
+)[source]
 
            The vectors parallel to the geodesic at the two end points.
            
 
            
 
            Parameters:
            
@@ -888,7 +888,7 @@ 
            Documentation Version
            
 
 
            
 
            
-geodesic_length(point_1, point_2)[source]
            
+geodesic_length(point_1, point_2)[source]
 
            The shortest distance between two points on a geometry’s surface.
            
 
            
 
            Parameters:
            
@@ -961,7 +961,7 @@ 
            Documentation Version
            
 
 
            
 
            
-point_on_surface(point)[source]
            
+point_on_surface(point)[source]
 
            Returns True if a point is on the cylinder’s surface.
            
 
            
 
            Parameters:
            
@@ -986,7 +986,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.wrapping_geometry.WrappingGeometryBase[source]
            
+class sympy.physics.mechanics.wrapping_geometry.WrappingGeometryBase[source]
 
            Abstract base class for all geometry classes to inherit from.
            
 
            Notes
            
 
            Instances of this class cannot be directly instantiated by users. However,
@@ -1000,7 +1000,7 @@ 
            Documentation Version
            
 
            point_2,
            
 
            
 
-)[source]
+)[source]
 
            The vectors parallel to the geodesic at the two end points.
            
 
            
 
            Parameters:
            
@@ -1025,7 +1025,7 @@ 
            Documentation Version
            
 
            point_2,
            
 
            
 
-)[source]
+)[source]
 
            Returns the shortest distance between two points on a geometry’s
 surface.
            
 
            
@@ -1050,7 +1050,7 @@ 
            Documentation Version
            
 
 
            
 
            
-abstract point_on_surface(point)[source]
            
+abstract point_on_surface(point)[source]
 
            Returns True if a point is on the geometry’s surface.
            
 
            
 
            Parameters:
            
@@ -1067,7 +1067,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.mechanics.wrapping_geometry.WrappingSphere(radius, point)[source]
            
+class sympy.physics.mechanics.wrapping_geometry.WrappingSphere(radius, point)[source]
 
            A solid spherical object.
            
 
            
 
            Parameters:
            
@@ -1116,7 +1116,7 @@ 
            Documentation Version
            
 
            point_2,
            
 
            
 
-)[source]
+)[source]
 
            The vectors parallel to the geodesic at the two end points.
            
 
            
 
            Parameters:
            
@@ -1134,7 +1134,7 @@ 
            Documentation Version
            
 
 
            
 
            
-geodesic_length(point_1, point_2)[source]
            
+geodesic_length(point_1, point_2)[source]
 
            Returns the shortest distance between two points on the sphere’s
 surface.
            
 
            
@@ -1207,7 +1207,7 @@ 
            Documentation Version
            
 
 
            
 
            
-point_on_surface(point)[source]
            
+point_on_surface(point)[source]
 
            Returns True if a point is on the sphere’s surface.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/optics/gaussopt.html b/dev/modules/physics/optics/gaussopt.html
index fe30d35c2ac..af9eb2e15ed 100644
--- a/dev/modules/physics/optics/gaussopt.html
+++ b/dev/modules/physics/optics/gaussopt.html
@@ -821,7 +821,7 @@ 
            Documentation Version
            
 
            
 
            
 
            
-class sympy.physics.optics.gaussopt.BeamParameter(wavelen, z, z_r=None, w=None, n=1)[source]
            
+class sympy.physics.optics.gaussopt.BeamParameter(wavelen, z, z_r=None, w=None, n=1)[source]
 
            Representation for a gaussian ray in the Ray Transfer Matrix formalism.
            
 
            
 
            Parameters:
            
@@ -986,7 +986,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.CurvedMirror(R)[source]
            
+class sympy.physics.optics.gaussopt.CurvedMirror(R)[source]
 
            Ray Transfer Matrix for reflection from curved surface.
            
 
            
 
            Parameters:
            
@@ -1011,7 +1011,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.CurvedRefraction(R, n1, n2)[source]
            
+class sympy.physics.optics.gaussopt.CurvedRefraction(R, n1, n2)[source]
 
            Ray Transfer Matrix for refraction on curved interface.
            
 
            
 
            Parameters:
            
@@ -1047,7 +1047,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.FlatMirror[source]
            
+class sympy.physics.optics.gaussopt.FlatMirror[source]
 
            Ray Transfer Matrix for reflection.
            
 
            Examples
            
 
            >>> from sympy.physics.optics import FlatMirror
@@ -1065,7 +1065,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.FlatRefraction(n1, n2)[source]
            
+class sympy.physics.optics.gaussopt.FlatRefraction(n1, n2)[source]
 
            Ray Transfer Matrix for refraction.
            
 
            
 
            Parameters:
            
@@ -1097,7 +1097,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.FreeSpace(d)[source]
            
+class sympy.physics.optics.gaussopt.FreeSpace(d)[source]
 
            Ray Transfer Matrix for free space.
            
 
            
 
            Parameters:
            
@@ -1122,7 +1122,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.GeometricRay(*args)[source]
            
+class sympy.physics.optics.gaussopt.GeometricRay(*args)[source]
 
            Representation for a geometric ray in the Ray Transfer Matrix formalism.
            
 
            
 
            Parameters:
            
@@ -1193,7 +1193,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.RayTransferMatrix(*args)[source]
            
+class sympy.physics.optics.gaussopt.RayTransferMatrix(*args)[source]
 
            Base class for a Ray Transfer Matrix.
            
 
            It should be used if there is not already a more specific subclass mentioned
 in See Also.
            
@@ -1306,7 +1306,7 @@ 
            Documentation Version
            
 
 
            
 
            
-class sympy.physics.optics.gaussopt.ThinLens(f)[source]
            
+class sympy.physics.optics.gaussopt.ThinLens(f)[source]
 
            Ray Transfer Matrix for a thin lens.
            
 
            
 
            Parameters:
            
@@ -1343,7 +1343,7 @@ 
            Documentation Version
            
 
            **kwargs,
            
 
            
 
-)[source]
+)[source]
 
            Find the optical setup conjugating the object/image waists.
            
 
            
 
            Parameters:
            
@@ -1399,7 +1399,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.gaussian_conj(s_in, z_r_in, f)[source]
            
+sympy.physics.optics.gaussopt.gaussian_conj(s_in, z_r_in, f)[source]
 
            Conjugation relation for gaussian beams.
            
 
            
 
            Parameters:
            
@@ -1454,7 +1454,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.geometric_conj_ab(a, b)[source]
            
+sympy.physics.optics.gaussopt.geometric_conj_ab(a, b)[source]
 
            Conjugation relation for geometrical beams under paraxial conditions.
            
 
            Explanation
            
 
            Takes the distances to the optical element and returns the needed
@@ -1475,7 +1475,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.geometric_conj_af(a, f)[source]
            
+sympy.physics.optics.gaussopt.geometric_conj_af(a, f)[source]
 
            Conjugation relation for geometrical beams under paraxial conditions.
            
 
            Explanation
            
 
            Takes the object distance (for geometric_conj_af) or the image distance
@@ -1499,7 +1499,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.geometric_conj_bf(a, f)[source]
            
+sympy.physics.optics.gaussopt.geometric_conj_bf(a, f)[source]
 
            Conjugation relation for geometrical beams under paraxial conditions.
            
 
            Explanation
            
 
            Takes the object distance (for geometric_conj_af) or the image distance
@@ -1523,7 +1523,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.rayleigh2waist(z_r, wavelen)[source]
            
+sympy.physics.optics.gaussopt.rayleigh2waist(z_r, wavelen)[source]
 
            Calculate the waist from the rayleigh range of a gaussian beam.
            
 
            Examples
            
 
            >>> from sympy.physics.optics import rayleigh2waist
@@ -1541,7 +1541,7 @@ 
            Documentation Version
            
 
 
            
 
            
-sympy.physics.optics.gaussopt.waist2rayleigh(w, wavelen, n=1)[source]
            
+sympy.physics.optics.gaussopt.waist2rayleigh(w, wavelen, n=1)[source]
 
            Calculate the rayleigh range from the waist of a gaussian beam.
            
 
            Examples
            
 
            >>> from sympy.physics.optics import waist2rayleigh
diff --git a/dev/modules/physics/optics/medium.html b/dev/modules/physics/optics/medium.html
index 2b16eea1b11..87722fda22d 100644
--- a/dev/modules/physics/optics/medium.html
+++ b/dev/modules/physics/optics/medium.html
@@ -815,7 +815,7 @@ 
            Documentation Version
            
 
            n=None,
            
 
            
 
-)[source]
+)[source]
 
            This class represents an optical medium. The prime reason to implement this is
 to facilitate refraction, Fermat’s principle, etc.
            
 
            
diff --git a/dev/modules/physics/optics/polarization.html b/dev/modules/physics/optics/polarization.html
index 9f9e32fc90b..f7580eaab99 100644
--- a/dev/modules/physics/optics/polarization.html
+++ b/dev/modules/physics/optics/polarization.html
@@ -890,7 +890,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.half_wave_retarder(theta)[source]
            
+sympy.physics.optics.polarization.half_wave_retarder(theta)[source]
 
            A half-wave retarder Jones matrix at angle theta.
            
 
            
 
            Parameters:
            
@@ -924,7 +924,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.jones_2_stokes(e)[source]
            
+sympy.physics.optics.polarization.jones_2_stokes(e)[source]
 
            Return the Stokes vector for a Jones vector e.
            
 
            
 
            Parameters:
            
@@ -966,7 +966,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.jones_vector(psi, chi)[source]
            
+sympy.physics.optics.polarization.jones_vector(psi, chi)[source]
 
            A Jones vector corresponding to a polarization ellipse with \(psi\) tilt,
 and \(chi\) circularity.
            
 
            
@@ -1063,7 +1063,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.linear_polarizer(theta=0)[source]
            
+sympy.physics.optics.polarization.linear_polarizer(theta=0)[source]
 
            A linear polarizer Jones matrix with transmission axis at
 an angle theta.
            
 
            
@@ -1098,7 +1098,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.mueller_matrix(J)[source]
            
+sympy.physics.optics.polarization.mueller_matrix(J)[source]
 
            The Mueller matrix corresponding to Jones matrix \(J\).
            
 
            
 
            Parameters:
            
@@ -1171,7 +1171,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.phase_retarder(theta=0, delta=0)[source]
            
+sympy.physics.optics.polarization.phase_retarder(theta=0, delta=0)[source]
 
            A phase retarder Jones matrix with retardance delta at angle theta.
            
 
            
 
            Parameters:
            
@@ -1225,7 +1225,7 @@ 
            Referencesphib=0,
            
 
            
 
-)[source]
+)[source]
 
            A polarizing beam splitter Jones matrix at angle \(theta\).
            
 
            
 
            Parameters:
            
@@ -1294,7 +1294,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.quarter_wave_retarder(theta)[source]
            
+sympy.physics.optics.polarization.quarter_wave_retarder(theta)[source]
 
            A quarter-wave retarder Jones matrix at angle theta.
            
 
            
 
            Parameters:
            
@@ -1332,7 +1332,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.reflective_filter(R)[source]
            
+sympy.physics.optics.polarization.reflective_filter(R)[source]
 
            A reflective filter Jones matrix with reflectance R.
            
 
            
 
            Parameters:
            
@@ -1363,7 +1363,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.stokes_vector(psi, chi, p=1, I=1)[source]
            
+sympy.physics.optics.polarization.stokes_vector(psi, chi, p=1, I=1)[source]
 
            A Stokes vector corresponding to a polarization ellipse with psi
 tilt, and chi circularity.
            
 
            
@@ -1488,7 +1488,7 @@ 
            References
 
            
-sympy.physics.optics.polarization.transmissive_filter(T)[source]
            
+sympy.physics.optics.polarization.transmissive_filter(T)[source]
 
            An attenuator Jones matrix with transmittance T.
            
 
            
 
            Parameters:
            
diff --git a/dev/modules/physics/optics/utils.html b/dev/modules/physics/optics/utils.html
index aa10ff629b3..e374d801877 100644
--- a/dev/modules/physics/optics/utils.html
+++ b/dev/modules/physics/optics/utils.html
@@ -815,7 +815,7 @@ 
            Documentation Version
            
 
          
 
          
 
          
-sympy.physics.optics.utils.brewster_angle(medium1, medium2)[source]
          
+sympy.physics.optics.utils.brewster_angle(medium1, medium2)[source]
 
          This function calculates the Brewster’s angle of incidence to Medium 2 from
 Medium 1 in radians.
          
 
          
@@ -840,7 +840,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.critical_angle(medium1, medium2)[source]
          
+sympy.physics.optics.utils.critical_angle(medium1, medium2)[source]
 
          This function calculates the critical angle of incidence (marking the onset
 of total internal) to Medium 2 from Medium 1 in radians.
          
 
          
@@ -875,7 +875,7 @@ 
          Documentation Version
          
 
          plane=None,
          
 
          
 
-)[source]
+)[source]
 
          This function calculates the angle of deviation of a ray
 due to refraction at planar surface.
          
 
          
@@ -932,7 +932,7 @@ 
          Documentation Version
          
 
          medium2,
          
 
          
 
-)[source]
+)[source]
 
          This function uses Fresnel equations to calculate reflection and
 transmission coefficients. Those are obtained for both polarisations
 when the electric field vector is in the plane of incidence (labelled ‘p’)
@@ -984,7 +984,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.hyperfocal_distance(f, N, c)[source]
          
+sympy.physics.optics.utils.hyperfocal_distance(f, N, c)[source]
 
          
 
          Parameters:
          
 
          f: sympifiable
          
@@ -1011,7 +1011,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.lens_formula(focal_length=None, u=None, v=None)[source]
          
+sympy.physics.optics.utils.lens_formula(focal_length=None, u=None, v=None)[source]
 
          This function provides one of the three parameters
 when two of them are supplied.
 This is valid only for paraxial rays.
          
@@ -1048,7 +1048,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.lens_makers_formula(n_lens, n_surr, r1, r2, d=0)[source]
          
+sympy.physics.optics.utils.lens_makers_formula(n_lens, n_surr, r1, r2, d=0)[source]
 
          This function calculates focal length of a lens.
 It follows cartesian sign convention.
          
 
          
@@ -1090,7 +1090,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.mirror_formula(focal_length=None, u=None, v=None)[source]
          
+sympy.physics.optics.utils.mirror_formula(focal_length=None, u=None, v=None)[source]
 
          This function provides one of the three parameters
 when two of them are supplied.
 This is valid only for paraxial rays.
          
@@ -1137,7 +1137,7 @@ 
          Documentation Version
          
 
          plane=None,
          
 
          
 
-)[source]
+)[source]
 
          This function calculates transmitted vector after refraction at planar
 surface. medium1 and medium2 can be Medium or any sympifiable object.
 If incident is a number then treated as angle of incidence (in radians)
@@ -1211,7 +1211,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.optics.utils.transverse_magnification(si, so)[source]
          
+sympy.physics.optics.utils.transverse_magnification(si, so)[source]
 
          Calculates the transverse magnification upon reflection in a mirror,
 which is the ratio of the image size to the object size.
          
 
          
diff --git a/dev/modules/physics/optics/waves.html b/dev/modules/physics/optics/waves.html
index 91429f61623..45332b562e5 100644
--- a/dev/modules/physics/optics/waves.html
+++ b/dev/modules/physics/optics/waves.html
@@ -817,7 +817,7 @@ 
          Documentation Version
          
 
          n=n,
          
 
          
 
-)[source]
+)[source]
 
          This is a simple transverse sine wave travelling in a one-dimensional space.
 Basic properties are required at the time of creation of the object,
 but they can be changed later with respective methods provided.
          
diff --git a/dev/modules/physics/paulialgebra.html b/dev/modules/physics/paulialgebra.html
index 3c17093077d..a30b468c6b8 100644
--- a/dev/modules/physics/paulialgebra.html
+++ b/dev/modules/physics/paulialgebra.html
@@ -814,7 +814,7 @@ 
          References
 
          
-sympy.physics.paulialgebra.evaluate_pauli_product(arg)[source]
          
+sympy.physics.paulialgebra.evaluate_pauli_product(arg)[source]
 
          Help function to evaluate Pauli matrices product
 with symbolic objects.
          
 
          
diff --git a/dev/modules/physics/qho_1d.html b/dev/modules/physics/qho_1d.html
index 94a1abc40b9..b7bb80ea754 100644
--- a/dev/modules/physics/qho_1d.html
+++ b/dev/modules/physics/qho_1d.html
@@ -802,7 +802,7 @@ 
          Documentation Version
          
 
          Quantum Harmonic Oscillator in 1-D
          
 
          
 
          
-sympy.physics.qho_1d.E_n(n, omega)[source]
          
+sympy.physics.qho_1d.E_n(n, omega)[source]
 
          Returns the Energy of the One-dimensional harmonic oscillator.
          
 
          
 
          Parameters:
          
@@ -833,7 +833,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.qho_1d.coherent_state(n, alpha)[source]
          
+sympy.physics.qho_1d.coherent_state(n, alpha)[source]
 
          Returns <n|alpha> for the coherent states of 1D harmonic oscillator.
 See https://en.wikipedia.org/wiki/Coherent_states
          
 
          
@@ -852,7 +852,7 @@ 
          Documentation Version
          
 
 
          
 
          
-sympy.physics.qho_1d.psi_n(n, x, m, omega)[source]
          
+sympy.physics.qho_1d.psi_n(n, x, m, omega)[source]
 
          Returns the wavefunction psi_{n} for the One-dimensional harmonic oscillator.
          
 
          
 
          Parameters:
          
diff --git a/dev/modules/physics/quantum/anticommutator.html b/dev/modules/physics/quantum/anticommutator.html
index ecab3989fa1..2872cb3f9ac 100644
--- a/dev/modules/physics/quantum/anticommutator.html
+++ b/dev/modules/physics/quantum/anticommutator.html
@@ -803,7 +803,7 @@ 
          Documentation Version
          
 
          The anti-commutator: {A,B} = A*B + B*A.
          
 
          
 
          
-class sympy.physics.quantum.anticommutator.AntiCommutator(A, B)[source]
          
+class sympy.physics.quantum.anticommutator.AntiCommutator(A, B)[source]
 
          The standard anticommutator, in an unevaluated state.
          
 
          
 
          Parameters:
          
@@ -866,7 +866,7 @@ 
          Documentation Version
          
 
          
 
          
 
          
-doit(**hints)[source]
          
+doit(**hints)[source]
 
          Evaluate anticommutator
          
 
          
 
diff --git a/dev/modules/physics/quantum/cartesian.html b/dev/modules/physics/quantum/cartesian.html
index b9965bb34e4..cbdea53a585 100644
--- a/dev/modules/physics/quantum/cartesian.html
+++ b/dev/modules/physics/quantum/cartesian.html
@@ -807,19 +807,19 @@ 
          Documentation Version
          
 
      
 
      
 
      
-class sympy.physics.quantum.cartesian.PositionBra3D(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PositionBra3D(*args, **kwargs)[source]
 
      3D cartesian position eigenbra
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.PositionKet3D(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PositionKet3D(*args, **kwargs)[source]
 
      3D cartesian position eigenket
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.PositionState3D(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PositionState3D(*args, **kwargs)[source]
 
      Base class for 3D cartesian position eigenstates
      
 
      
 
      
@@ -843,7 +843,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.PxBra(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PxBra(*args, **kwargs)[source]
      
 
      1D cartesian momentum eigenbra.
      
 
      
 
      
@@ -855,7 +855,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.PxKet(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PxKet(*args, **kwargs)[source]
      
 
      1D cartesian momentum eigenket.
      
 
      
 
      
@@ -867,13 +867,13 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.PxOp(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.PxOp(*args, **kwargs)[source]
      
 
      1D cartesian momentum operator.
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.XBra(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.XBra(*args, **kwargs)[source]
 
      1D cartesian position eigenbra.
      
 
      
 
      
@@ -885,7 +885,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.XKet(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.XKet(*args, **kwargs)[source]
      
 
      1D cartesian position eigenket.
      
 
      
 
      
@@ -897,19 +897,19 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.XOp(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.XOp(*args, **kwargs)[source]
      
 
      1D cartesian position operator.
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.YOp(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.YOp(*args, **kwargs)[source]
 
      Y cartesian coordinate operator (for 2D or 3D systems)
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.cartesian.ZOp(*args, **kwargs)[source]
      
+class sympy.physics.quantum.cartesian.ZOp(*args, **kwargs)[source]
 
      Z cartesian coordinate operator (for 3D systems)
      
 
      
 
diff --git a/dev/modules/physics/quantum/cg.html b/dev/modules/physics/quantum/cg.html
index ae828c96545..06e63f50147 100644
--- a/dev/modules/physics/quantum/cg.html
+++ b/dev/modules/physics/quantum/cg.html
@@ -803,7 +803,7 @@ 
      Documentation Version
      
 
      Clebsch-Gordon Coefficients.
      
 
      
 
      
-class sympy.physics.quantum.cg.CG(j1, m1, j2, m2, j3, m3)[source]
      
+class sympy.physics.quantum.cg.CG(j1, m1, j2, m2, j3, m3)[source]
 
      Class for Clebsch-Gordan coefficient.
      
 
      
 
      Parameters:
      
@@ -866,7 +866,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cg.Wigner3j(j1, m1, j2, m2, j3, m3)[source]
      
+class sympy.physics.quantum.cg.Wigner3j(j1, m1, j2, m2, j3, m3)[source]
 
      Class for the Wigner-3j symbols.
      
 
      
 
      Parameters:
      
@@ -911,7 +911,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cg.Wigner6j(j1, j2, j12, j3, j, j23)[source]
      
+class sympy.physics.quantum.cg.Wigner6j(j1, j2, j12, j3, j, j23)[source]
 
      Class for the Wigner-6j symbols
      
 
      
 
      See also
      
@@ -924,7 +924,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.cg.Wigner9j(j1, j2, j12, j3, j4, j34, j13, j24, j)[source]
      
+class sympy.physics.quantum.cg.Wigner9j(j1, j2, j12, j3, j4, j34, j13, j24, j)[source]
 
      Class for the Wigner-9j symbols
      
 
      
 
      See also
      
@@ -937,7 +937,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.cg.cg_simp(e)[source]
      
+sympy.physics.quantum.cg.cg_simp(e)[source]
 
      Simplify and combine CG coefficients.
      
 
      Explanation
      
 
      This function uses various symmetry and properties of sums and
diff --git a/dev/modules/physics/quantum/circuitplot.html b/dev/modules/physics/quantum/circuitplot.html
index e13ecb7faf7..30aa48d5d26 100644
--- a/dev/modules/physics/quantum/circuitplot.html
+++ b/dev/modules/physics/quantum/circuitplot.html
@@ -816,7 +816,7 @@ 
      Documentation Version
      
 
    
 
    
 
    
-class sympy.physics.quantum.circuitplot.CircuitPlot(c, nqubits, **kwargs)[source]
    
+class sympy.physics.quantum.circuitplot.CircuitPlot(c, nqubits, **kwargs)[source]
 
    A class for managing a circuit plot.
    
 
    
 
    
@@ -828,43 +828,43 @@ 
    Documentation Version
    
 
    max_wire,
    
 
    
 
-)[source]
+)[source]
 
    Draw a vertical control line.
    
 
    
 
 
    
 
    
-control_point(gate_idx, wire_idx)[source]
    
+control_point(gate_idx, wire_idx)[source]
 
    Draw a control point.
    
 
    
 
 
    
 
    
-not_point(gate_idx, wire_idx)[source]
    
+not_point(gate_idx, wire_idx)[source]
 
    Draw a NOT gates as the circle with plus in the middle.
    
 
    
 
 
    
 
    
-one_qubit_box(t, gate_idx, wire_idx)[source]
    
+one_qubit_box(t, gate_idx, wire_idx)[source]
 
    Draw a box for a single qubit gate.
    
 
    
 
 
    
 
    
-swap_point(gate_idx, wire_idx)[source]
    
+swap_point(gate_idx, wire_idx)[source]
 
    Draw a swap point as a cross.
    
 
    
 
 
    
 
    
-two_qubit_box(t, gate_idx, wire_idx)[source]
    
+two_qubit_box(t, gate_idx, wire_idx)[source]
 
    Draw a box for a two qubit gate. Does not work yet.
    
 
    
 
 
    
 
    
-update(kwargs)[source]
    
+update(kwargs)[source]
 
    Load the kwargs into the instance dict.
    
 
    
 
@@ -872,13 +872,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.circuitplot.CreateCGate(name, latexname=None)[source]
    
+sympy.physics.quantum.circuitplot.CreateCGate(name, latexname=None)[source]
 
    Use a lexical closure to make a controlled gate.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.circuitplot.Mx(*args, **kwargs)[source]
    
+class sympy.physics.quantum.circuitplot.Mx(*args, **kwargs)[source]
 
    Mock-up of an x measurement gate.
    
 
    This is in circuitplot rather than gate.py because it’s not a real
 gate, it just draws one.
    
@@ -886,7 +886,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.circuitplot.Mz(*args, **kwargs)[source]
    
+class sympy.physics.quantum.circuitplot.Mz(*args, **kwargs)[source]
 
    Mock-up of a z measurement gate.
    
 
    This is in circuitplot rather than gate.py because it’s not a real
 gate, it just draws one.
    
@@ -894,7 +894,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.circuitplot.circuit_plot(c, nqubits, **kwargs)[source]
    
+sympy.physics.quantum.circuitplot.circuit_plot(c, nqubits, **kwargs)[source]
 
    Draw the circuit diagram for the circuit with nqubits.
    
 
    
 
    Parameters:
    
@@ -913,7 +913,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.circuitplot.labeller(n, symbol='q')[source]
    
+sympy.physics.quantum.circuitplot.labeller(n, symbol='q')[source]
 
    Autogenerate labels for wires of quantum circuits.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/commutator.html b/dev/modules/physics/quantum/commutator.html
index 8d72888a43a..eebb335c3e5 100644
--- a/dev/modules/physics/quantum/commutator.html
+++ b/dev/modules/physics/quantum/commutator.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    The commutator: [A,B] = A*B - B*A.
    
 
    
 
    
-class sympy.physics.quantum.commutator.Commutator(A, B)[source]
    
+class sympy.physics.quantum.commutator.Commutator(A, B)[source]
 
    The standard commutator, in an unevaluated state.
    
 
    
 
    Parameters:
    
@@ -878,7 +878,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Evaluate commutator
    
 
    
 
diff --git a/dev/modules/physics/quantum/constants.html b/dev/modules/physics/quantum/constants.html
index ef77a651dca..82fa0800f61 100644
--- a/dev/modules/physics/quantum/constants.html
+++ b/dev/modules/physics/quantum/constants.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    Constants (like hbar) related to quantum mechanics.
    
 
    
 
    
-class sympy.physics.quantum.constants.HBar[source]
    
+class sympy.physics.quantum.constants.HBar[source]
 
    Reduced Plank’s constant in numerical and symbolic form [R763].
    
 
    Examples
    
 
    >>> from sympy.physics.quantum.constants import hbar
diff --git a/dev/modules/physics/quantum/dagger.html b/dev/modules/physics/quantum/dagger.html
index 1c95d5fd78e..b9e29bf6692 100644
--- a/dev/modules/physics/quantum/dagger.html
+++ b/dev/modules/physics/quantum/dagger.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    Hermitian conjugation.
    
 
    
 
    
-class sympy.physics.quantum.dagger.Dagger(arg)[source]
    
+class sympy.physics.quantum.dagger.Dagger(arg)[source]
 
    General Hermitian conjugate operation.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/gate.html b/dev/modules/physics/quantum/gate.html
index 38f3d0f7191..993a5a81b93 100644
--- a/dev/modules/physics/quantum/gate.html
+++ b/dev/modules/physics/quantum/gate.html
@@ -814,7 +814,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.CGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.CGate(*args, **kwargs)[source]
 
    A general unitary gate with control qubits.
    
 
    A general control gate applies a target gate to a set of targets if all
 of the control qubits have a particular values (set by
@@ -837,13 +837,13 @@ 
    Documentation Version
    
 
 
    
 
    
-decompose(**options)[source]
    
+decompose(**options)[source]
 
    Decompose the controlled gate into CNOT and single qubits gates.
    
 
    
 
 
    
 
    
-eval_controls(qubit)[source]
    
+eval_controls(qubit)[source]
 
    Return True/False to indicate if the controls are satisfied.
    
 
    
 
@@ -869,7 +869,7 @@ 
    Documentation Version
    
 
 
    
 
    
-plot_gate(circ_plot, gate_idx)[source]
    
+plot_gate(circ_plot, gate_idx)[source]
 
    Plot the controlled gate. If simplify_cgate is true, simplify
 C-X and C-Z gates into their more familiar forms.
    
 
    
@@ -884,20 +884,20 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.CGateS(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.CGateS(*args, **kwargs)[source]
 
    Version of CGate that allows gate simplifications.
 I.e. cnot looks like an oplus, cphase has dots, etc.
    
 
    
 
 
    
 
    
-sympy.physics.quantum.gate.CNOT[source]
    
+sympy.physics.quantum.gate.CNOT[source]
 
    alias of CNotGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.CNotGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.CNotGate(*args, **kwargs)[source]
 
    Two qubit controlled-NOT.
    
 
    This gate performs the NOT or X gate on the target qubit if the control
 qubits all have the value 1.
    
@@ -946,7 +946,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.Gate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.Gate(*args, **kwargs)[source]
 
    Non-controlled unitary gate operator that acts on qubits.
    
 
    This is a general abstract gate that needs to be subclassed to do anything
 useful.
    
@@ -960,7 +960,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-get_target_matrix(format='sympy')[source]
    
+get_target_matrix(format='sympy')[source]
 
    The matrix representation of the target part of the gate.
    
 
    
 
    Parameters:
    
@@ -996,13 +996,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.H[source]
    
+sympy.physics.quantum.gate.H[source]
 
    alias of HadamardGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.HadamardGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.HadamardGate(*args, **kwargs)[source]
 
    The single qubit Hadamard gate.
    
 
    
 
    Parameters:
    
@@ -1029,7 +1029,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.IdentityGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.IdentityGate(*args, **kwargs)[source]
 
    The single qubit identity gate.
    
 
    
 
    Parameters:
    
@@ -1043,19 +1043,19 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.OneQubitGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.OneQubitGate(*args, **kwargs)[source]
 
    A single qubit unitary gate base class.
    
 
    
 
 
    
 
    
-sympy.physics.quantum.gate.Phase[source]
    
+sympy.physics.quantum.gate.Phase[source]
 
    alias of PhaseGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.PhaseGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.PhaseGate(*args, **kwargs)[source]
 
    The single qubit phase, or S, gate.
    
 
    This gate rotates the phase of the state by pi/2 if the state is |1> and
 does nothing if the state is |0>.
    
@@ -1071,19 +1071,19 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.S[source]
    
+sympy.physics.quantum.gate.S[source]
 
    alias of PhaseGate
    
 
    
 
 
    
 
    
-sympy.physics.quantum.gate.SWAP[source]
    
+sympy.physics.quantum.gate.SWAP[source]
 
    alias of SwapGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.SwapGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.SwapGate(*args, **kwargs)[source]
 
    Two qubit SWAP gate.
    
 
    This gate swap the values of the two qubits.
    
 
    
@@ -1096,7 +1096,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-decompose(**options)[source]
    
+decompose(**options)[source]
 
    Decompose the SWAP gate into CNOT gates.
    
 
    
 
@@ -1104,13 +1104,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.T[source]
    
+sympy.physics.quantum.gate.T[source]
 
    alias of TGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.TGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.TGate(*args, **kwargs)[source]
 
    The single qubit pi/8 gate.
    
 
    This gate rotates the phase of the state by pi/4 if the state is |1> and
 does nothing if the state is |0>.
    
@@ -1126,13 +1126,13 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.gate.TwoQubitGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.TwoQubitGate(*args, **kwargs)[source]
 
    A two qubit unitary gate base class.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.UGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.UGate(*args, **kwargs)[source]
 
    General gate specified by a set of targets and a target matrix.
    
 
    
 
    Parameters:
    
@@ -1146,7 +1146,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-get_target_matrix(format='sympy')[source]
    
+get_target_matrix(format='sympy')[source]
 
    The matrix rep. of the target part of the gate.
    
 
    
 
    Parameters:
    
@@ -1168,13 +1168,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.X[source]
    
+sympy.physics.quantum.gate.X[source]
 
    alias of XGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.XGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.XGate(*args, **kwargs)[source]
 
    The single qubit X, or NOT, gate.
    
 
    
 
    Parameters:
    
@@ -1188,13 +1188,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.Y[source]
    
+sympy.physics.quantum.gate.Y[source]
 
    alias of YGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.YGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.YGate(*args, **kwargs)[source]
 
    The single qubit Y gate.
    
 
    
 
    Parameters:
    
@@ -1208,13 +1208,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.Z[source]
    
+sympy.physics.quantum.gate.Z[source]
 
    alias of ZGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.gate.ZGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.gate.ZGate(*args, **kwargs)[source]
 
    The single qubit Z gate.
    
 
    
 
    Parameters:
    
@@ -1228,7 +1228,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.gate_simp(circuit)[source]
    
+sympy.physics.quantum.gate.gate_simp(circuit)[source]
 
    Simplifies gates symbolically
    
 
    It first sorts gates using gate_sort. It then applies basic
 simplification rules to the circuit, e.g., XGate**2 = Identity
    
@@ -1236,7 +1236,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.gate_sort(circuit)[source]
    
+sympy.physics.quantum.gate.gate_sort(circuit)[source]
 
    Sorts the gates while keeping track of commutation relations
    
 
    This function uses a bubble sort to rearrange the order of gate
 application. Keeps track of Quantum computations special commutation
@@ -1247,7 +1247,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.gate.normalized(normalize)[source]
    
+sympy.physics.quantum.gate.normalized(normalize)[source]
 
    Set flag controlling normalization of Hadamard gates by \(1/\sqrt{2}\).
    
 
    This is a global setting that can be used to simplify the look of various
 expressions, by leaving off the leading \(1/\sqrt{2}\) of the Hadamard gate.
    
@@ -1280,7 +1280,7 @@ 
    Documentation Version
    
 
    <class 'sympy.physics.quantum.gate.SwapGate'>),
    
 
    
 
-)[source]
+)[source]
 
    Return a random circuit of ngates and nqubits.
    
 
    This uses an equally weighted sample of (X, Y, Z, S, T, H, CNOT, SWAP)
 gates.
    
diff --git a/dev/modules/physics/quantum/grover.html b/dev/modules/physics/quantum/grover.html
index ce299aa7f42..07e1a9e494c 100644
--- a/dev/modules/physics/quantum/grover.html
+++ b/dev/modules/physics/quantum/grover.html
@@ -810,7 +810,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.grover.OracleGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.grover.OracleGate(*args, **kwargs)[source]
 
    A black box gate.
    
 
    The gate marks the desired qubits of an unknown function by flipping
 the sign of the qubits.  The unknown function returns true when it
@@ -856,7 +856,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.grover.WGate(*args, **kwargs)[source]
    
+class sympy.physics.quantum.grover.WGate(*args, **kwargs)[source]
 
    General n qubit W Gate in Grover’s algorithm.
    
 
    The gate performs the operation 2|phi><phi| - 1 on some qubits.
 |phi> = (tensor product of n Hadamards)*(|0> with n qubits)
    
@@ -872,7 +872,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.grover.apply_grover(oracle, nqubits, iterations=None)[source]
    
+sympy.physics.quantum.grover.apply_grover(oracle, nqubits, iterations=None)[source]
 
    Applies grover’s algorithm.
    
 
    
 
    Parameters:
    
@@ -903,7 +903,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.grover.grover_iteration(qstate, oracle)[source]
    
+sympy.physics.quantum.grover.grover_iteration(qstate, oracle)[source]
 
    Applies one application of the Oracle and W Gate, WV.
    
 
    
 
    Parameters:
    
@@ -939,7 +939,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.grover.superposition_basis(nqubits)[source]
    
+sympy.physics.quantum.grover.superposition_basis(nqubits)[source]
 
    Creates an equal superposition of the computational basis.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/hilbert.html b/dev/modules/physics/quantum/hilbert.html
index 40172299ad7..9409351887d 100644
--- a/dev/modules/physics/quantum/hilbert.html
+++ b/dev/modules/physics/quantum/hilbert.html
@@ -806,7 +806,7 @@ 
    Documentation Version
    
 * Matt Curry
    
 
    
 
    
-class sympy.physics.quantum.hilbert.ComplexSpace(dimension)[source]
    
+class sympy.physics.quantum.hilbert.ComplexSpace(dimension)[source]
 
    Finite dimensional Hilbert space of complex vectors.
    
 
    The elements of this Hilbert space are n-dimensional complex valued
 vectors with the usual inner product that takes the complex conjugate
@@ -837,7 +837,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.DirectSumHilbertSpace(*args)[source]
    
+class sympy.physics.quantum.hilbert.DirectSumHilbertSpace(*args)[source]
 
    A direct sum of Hilbert spaces [R766].
    
 
    This class uses the + operator to represent direct sums between
 different Hilbert spaces.
    
@@ -869,7 +869,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod eval(args)[source]
    
+classmethod eval(args)[source]
 
    Evaluates the direct product.
    
 
    
 
@@ -883,7 +883,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.FockSpace[source]
    
+class sympy.physics.quantum.hilbert.FockSpace[source]
 
    The Hilbert space for second quantization.
    
 
    Technically, this Hilbert space is a infinite direct sum of direct
 products of single particle Hilbert spaces [R767]. This is a mess, so we have
@@ -909,7 +909,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.HilbertSpace[source]
    
+class sympy.physics.quantum.hilbert.HilbertSpace[source]
 
    An abstract Hilbert space for quantum mechanics.
    
 
    In short, a Hilbert space is an abstract vector space that is complete
 with inner products defined [R768].
    
@@ -938,7 +938,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.L2(interval)[source]
    
+class sympy.physics.quantum.hilbert.L2(interval)[source]
 
    The Hilbert space of square integrable functions on an interval.
    
 
    An L2 object takes in a single SymPy Interval argument which represents
 the interval its functions (vectors) are defined on.
    
@@ -958,7 +958,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.TensorPowerHilbertSpace(*args)[source]
    
+class sympy.physics.quantum.hilbert.TensorPowerHilbertSpace(*args)[source]
 
    An exponentiated Hilbert space [R769].
    
 
    Tensor powers (repeated tensor products) are represented by the
 operator ** Identical Hilbert spaces that are multiplied together
@@ -1000,7 +1000,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.hilbert.TensorProductHilbertSpace(*args)[source]
    
+class sympy.physics.quantum.hilbert.TensorProductHilbertSpace(*args)[source]
 
    A tensor product of Hilbert spaces [R770].
    
 
    The tensor product between Hilbert spaces is represented by the
 operator * Products of the same Hilbert space will be combined into
@@ -1045,7 +1045,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod eval(args)[source]
    
+classmethod eval(args)[source]
 
    Evaluates the direct product.
    
 
    
 
diff --git a/dev/modules/physics/quantum/innerproduct.html b/dev/modules/physics/quantum/innerproduct.html
index 593f7b820f2..d05d56ecf28 100644
--- a/dev/modules/physics/quantum/innerproduct.html
+++ b/dev/modules/physics/quantum/innerproduct.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    Symbolic inner product.
    
 
    
 
    
-class sympy.physics.quantum.innerproduct.InnerProduct(bra, ket)[source]
    
+class sympy.physics.quantum.innerproduct.InnerProduct(bra, ket)[source]
 
    An unevaluated inner product between a Bra and a Ket [1].
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/operator.html b/dev/modules/physics/quantum/operator.html
index b55623f0a28..764cf4df53e 100644
--- a/dev/modules/physics/quantum/operator.html
+++ b/dev/modules/physics/quantum/operator.html
@@ -811,7 +811,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.DifferentialOperator(*args, **kwargs)[source]
    
+class sympy.physics.quantum.operator.DifferentialOperator(*args, **kwargs)[source]
 
    An operator for representing the differential operator, i.e. d/dx
    
 
    It is initialized by passing two arguments. The first is an arbitrary
 expression that involves a function, such as Derivative(f(x), x). The
@@ -925,7 +925,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.HermitianOperator(*args, **kwargs)[source]
    
+class sympy.physics.quantum.operator.HermitianOperator(*args, **kwargs)[source]
 
    A Hermitian operator that satisfies H == Dagger(H).
    
 
    
 
    Parameters:
    
@@ -947,7 +947,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.IdentityOperator(*args, **kwargs)[source]
    
+class sympy.physics.quantum.operator.IdentityOperator(*args, **kwargs)[source]
 
    An identity operator I that satisfies op * I == I * op == op for any
 operator op.
    
 
    
@@ -969,7 +969,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.Operator(*args, **kwargs)[source]
    
+class sympy.physics.quantum.operator.Operator(*args, **kwargs)[source]
 
    Base class for non-commuting quantum operators.
    
 
    An operator maps between quantum states [R772]. In quantum mechanics,
 observables (including, but not limited to, measured physical values) are
@@ -1044,7 +1044,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.OuterProduct(*args, **old_assumptions)[source]
    
+class sympy.physics.quantum.operator.OuterProduct(*args, **old_assumptions)[source]
 
    An unevaluated outer product between a ket and bra.
    
 
    This constructs an outer product between any subclass of KetBase and
 BraBase as |a><b|. An OuterProduct inherits from Operator as they act as
@@ -1124,7 +1124,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.operator.UnitaryOperator(*args, **kwargs)[source]
    
+class sympy.physics.quantum.operator.UnitaryOperator(*args, **kwargs)[source]
 
    A unitary operator that satisfies U*Dagger(U) == 1.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/operatorset.html b/dev/modules/physics/quantum/operatorset.html
index 89515be5fbe..122f16a3dd0 100644
--- a/dev/modules/physics/quantum/operatorset.html
+++ b/dev/modules/physics/quantum/operatorset.html
@@ -813,7 +813,7 @@ 
    Documentation Version
    
 - Update the dictionary with a complete list of state-operator pairs
    
 
    
 
    
-sympy.physics.quantum.operatorset.operators_to_state(operators, **options)[source]
    
+sympy.physics.quantum.operatorset.operators_to_state(operators, **options)[source]
 
    Returns the eigenstate of the given operator or set of operators
    
 
    A global function for mapping operator classes to their associated
 states. It takes either an Operator or a set of operators and
@@ -864,7 +864,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.operatorset.state_to_operators(state, **options)[source]
    
+sympy.physics.quantum.operatorset.state_to_operators(state, **options)[source]
 
    Returns the operator or set of operators corresponding to the
 given eigenstate
    
 
    A global function for mapping state classes to their associated
diff --git a/dev/modules/physics/quantum/piab.html b/dev/modules/physics/quantum/piab.html
index 7971a8039f3..6b993b328ff 100644
--- a/dev/modules/physics/quantum/piab.html
+++ b/dev/modules/physics/quantum/piab.html
@@ -803,19 +803,19 @@ 
    Documentation Version
    
 
    1D quantum particle in a box.
    
 
    
 
    
-class sympy.physics.quantum.piab.PIABBra(*args, **kwargs)[source]
    
+class sympy.physics.quantum.piab.PIABBra(*args, **kwargs)[source]
 
    Particle in a box eigenbra.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.piab.PIABHamiltonian(*args, **kwargs)[source]
    
+class sympy.physics.quantum.piab.PIABHamiltonian(*args, **kwargs)[source]
 
    Particle in a box Hamiltonian operator.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.piab.PIABKet(*args, **kwargs)[source]
    
+class sympy.physics.quantum.piab.PIABKet(*args, **kwargs)[source]
 
    Particle in a box eigenket.
    
 
    
 
diff --git a/dev/modules/physics/quantum/qapply.html b/dev/modules/physics/quantum/qapply.html
index 0602fe21721..56c24f9852b 100644
--- a/dev/modules/physics/quantum/qapply.html
+++ b/dev/modules/physics/quantum/qapply.html
@@ -805,7 +805,7 @@ 
    Documentation Version
    
 * Sometimes the final result needs to be expanded, we should do this by hand.
    
 
    
 
    
-sympy.physics.quantum.qapply.qapply(e, **options)[source]
    
+sympy.physics.quantum.qapply.qapply(e, **options)[source]
 
    Apply operators to states in a quantum expression.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/quantum/qft.html b/dev/modules/physics/quantum/qft.html
index 80a9abaef1b..8105ea62a8c 100644
--- a/dev/modules/physics/quantum/qft.html
+++ b/dev/modules/physics/quantum/qft.html
@@ -813,11 +813,11 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.qft.IQFT(*args, **kwargs)[source]
    
+class sympy.physics.quantum.qft.IQFT(*args, **kwargs)[source]
 
    The inverse quantum Fourier transform.
    
 
    
 
    
-decompose()[source]
    
+decompose()[source]
 
    Decomposes IQFT into elementary gates.
    
 
    
 
@@ -825,11 +825,11 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.qft.QFT(*args, **kwargs)[source]
    
+class sympy.physics.quantum.qft.QFT(*args, **kwargs)[source]
 
    The forward quantum Fourier transform.
    
 
    
 
    
-decompose()[source]
    
+decompose()[source]
 
    Decomposes QFT into elementary gates.
    
 
    
 
@@ -837,13 +837,13 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.qft.Rk[source]
    
+sympy.physics.quantum.qft.Rk[source]
 
    alias of RkGate
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.qft.RkGate(*args)[source]
    
+class sympy.physics.quantum.qft.RkGate(*args)[source]
 
    This is the R_k gate of the QTF.
    
 
    
 
diff --git a/dev/modules/physics/quantum/qubit.html b/dev/modules/physics/quantum/qubit.html
index 50f37c5ea12..01c5e962729 100644
--- a/dev/modules/physics/quantum/qubit.html
+++ b/dev/modules/physics/quantum/qubit.html
@@ -807,7 +807,7 @@ 
    Documentation Version
    
 * Update tests.
    
 
    
 
    
-class sympy.physics.quantum.qubit.IntQubit(*args, **kwargs)[source]
    
+class sympy.physics.quantum.qubit.IntQubit(*args, **kwargs)[source]
 
    A qubit ket that store integers as binary numbers in qubit values.
    
 
    The differences between this class and Qubit are:
    
 
      
@@ -882,13 +882,13 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.qubit.IntQubitBra(*args, **kwargs)[source]
      
+class sympy.physics.quantum.qubit.IntQubitBra(*args, **kwargs)[source]
 
      A qubit bra that store integers as binary numbers in qubit values.
      
 
      
 
 
      
 
      
-class sympy.physics.quantum.qubit.Qubit(*args, **kwargs)[source]
      
+class sympy.physics.quantum.qubit.Qubit(*args, **kwargs)[source]
 
      A multi-qubit ket in the computational (z) basis.
      
 
      We use the normal convention that the least significant qubit is on the
 right, so |00001> has a 1 in the least significant qubit.
      
@@ -945,7 +945,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.physics.quantum.qubit.QubitBra(*args, **kwargs)[source]
      
+class sympy.physics.quantum.qubit.QubitBra(*args, **kwargs)[source]
 
      A multi-qubit bra in the computational (z) basis.
      
 
      We use the normal convention that the least significant qubit is on the
 right, so |00001> has a 1 in the least significant qubit.
      
@@ -968,7 +968,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.qubit.matrix_to_density(mat)[source]
      
+sympy.physics.quantum.qubit.matrix_to_density(mat)[source]
 
      Works by finding the eigenvectors and eigenvalues of the matrix.
 We know we can decompose rho by doing:
 sum(EigenVal*|Eigenvect><Eigenvect|)
      
@@ -976,7 +976,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.qubit.matrix_to_qubit(matrix)[source]
      
+sympy.physics.quantum.qubit.matrix_to_qubit(matrix)[source]
 
      Convert from the matrix repr. to a sum of Qubit objects.
      
 
      
 
      Parameters:
      
@@ -1000,7 +1000,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.qubit.measure_all(qubit, format='sympy', normalize=True)[source]
      
+sympy.physics.quantum.qubit.measure_all(qubit, format='sympy', normalize=True)[source]
 
      Perform an ensemble measurement of all qubits.
      
 
      
 
      Parameters:
      
@@ -1041,7 +1041,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.qubit.measure_all_oneshot(qubit, format='sympy')[source]
      
+sympy.physics.quantum.qubit.measure_all_oneshot(qubit, format='sympy')[source]
 
      Perform a oneshot ensemble measurement on all qubits.
      
 
      A oneshot measurement is equivalent to performing a measurement on a
 quantum system. This type of measurement does not return the probabilities
@@ -1082,7 +1082,7 @@ 
      Documentation Version
      
 
      normalize=True,
      
 
      
 
-)[source]
+)[source]
 
      Perform a partial ensemble measure on the specified qubits.
      
 
      
 
      Parameters:
      
@@ -1135,7 +1135,7 @@ 
      Documentation Version
      
 
      format='sympy',
      
 
      
 
-)[source]
+)[source]
 
      Perform a partial oneshot measurement on the specified qubits.
      
 
      A oneshot measurement is equivalent to performing a measurement on a
 quantum system. This type of measurement does not return the probabilities
@@ -1171,7 +1171,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.physics.quantum.qubit.qubit_to_matrix(qubit, format='sympy')[source]
      
+sympy.physics.quantum.qubit.qubit_to_matrix(qubit, format='sympy')[source]
 
      Converts an Add/Mul of Qubit objects into it’s matrix representation
      
 
      This function is the inverse of matrix_to_qubit and is a shorthand
 for represent(qubit).
      
diff --git a/dev/modules/physics/quantum/represent.html b/dev/modules/physics/quantum/represent.html
index bf195012356..1318aa69d1e 100644
--- a/dev/modules/physics/quantum/represent.html
+++ b/dev/modules/physics/quantum/represent.html
@@ -808,7 +808,7 @@ 
      Documentation Version
      
 
    
 
    
 
    
-sympy.physics.quantum.represent.enumerate_states(*args, **options)[source]
    
+sympy.physics.quantum.represent.enumerate_states(*args, **options)[source]
 
    Returns instances of the given state with dummy indices appended
    
 
    Operates in two different modes:
    
 
      
@@ -852,7 +852,7 @@ 
      Documentation Version
      
 
      **options,
      
 
    
 
-)[source]
+)[source]
 
    Returns a basis state instance corresponding to the basis specified in
 options=s. If no basis is specified, the function tries to form a default
 basis state of the given expression.
    
@@ -899,7 +899,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.represent.integrate_result(orig_expr, result, **options)[source]
    
+sympy.physics.quantum.represent.integrate_result(orig_expr, result, **options)[source]
 
    Returns the result of integrating over any unities (|x><x|) in
 the given expression. Intended for integrating over the result of
 representations in continuous bases.
    
@@ -941,7 +941,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.represent.rep_expectation(expr, **options)[source]
    
+sympy.physics.quantum.represent.rep_expectation(expr, **options)[source]
 
    Returns an <x'|A|x> type representation for the given operator.
    
 
    
 
    Parameters:
    
@@ -966,7 +966,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.represent.rep_innerproduct(expr, **options)[source]
    
+sympy.physics.quantum.represent.rep_innerproduct(expr, **options)[source]
 
    Returns an innerproduct like representation (e.g. <x'|x>) for the
 given state.
    
 
    Attempts to calculate inner product with a bra from the specified
@@ -994,7 +994,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.represent.represent(expr, **options)[source]
    
+sympy.physics.quantum.represent.represent(expr, **options)[source]
 
    Represent the quantum expression in the given basis.
    
 
    In quantum mechanics abstract states and operators can be represented in
 various basis sets. Under this operation the follow transforms happen:
    
diff --git a/dev/modules/physics/quantum/shor.html b/dev/modules/physics/quantum/shor.html
index d3707071b11..f9d94a60d16 100644
--- a/dev/modules/physics/quantum/shor.html
+++ b/dev/modules/physics/quantum/shor.html
@@ -809,7 +809,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.shor.CMod(*args, **kwargs)[source]
    
+class sympy.physics.quantum.shor.CMod(*args, **kwargs)[source]
 
    A controlled mod gate.
    
 
    This is black box controlled Mod function for use by shor’s algorithm.
 TODO: implement a decompose property that returns how to do this in terms
@@ -836,7 +836,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.shor.period_find(a, N)[source]
    
+sympy.physics.quantum.shor.period_find(a, N)[source]
 
    Finds the period of a in modulo N arithmetic
    
 
    This is quantum part of Shor’s algorithm. It takes two registers,
 puts first in superposition of states with Hadamards so: |k>|0>
@@ -846,7 +846,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.shor.shor(N)[source]
    
+sympy.physics.quantum.shor.shor(N)[source]
 
    This function implements Shor’s factoring algorithm on the Integer N
    
 
    The algorithm starts by picking a random number (a) and seeing if it is
 coprime with N. If it is not, then the gcd of the two numbers is a factor
diff --git a/dev/modules/physics/quantum/spin.html b/dev/modules/physics/quantum/spin.html
index 6d7a5c33868..219ed639e26 100644
--- a/dev/modules/physics/quantum/spin.html
+++ b/dev/modules/physics/quantum/spin.html
@@ -803,13 +803,13 @@ 
    Documentation Version
    
 
    Quantum mechanical angular momemtum.
    
 
    
 
    
-class sympy.physics.quantum.spin.J2Op(*args, **kwargs)[source]
    
+class sympy.physics.quantum.spin.J2Op(*args, **kwargs)[source]
 
    The J^2 operator.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JxBra(j, m)[source]
    
+class sympy.physics.quantum.spin.JxBra(j, m)[source]
 
    Eigenbra of Jx.
    
 
    See JzKet for the usage of spin eigenstates.
    
 
    
@@ -823,7 +823,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JxBraCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JxBraCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenbra of Jx.
    
 
    See JzKetCoupled for the usage of coupled spin eigenstates.
    
 
    
@@ -837,7 +837,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JxKet(j, m)[source]
    
+class sympy.physics.quantum.spin.JxKet(j, m)[source]
 
    Eigenket of Jx.
    
 
    See JzKet for the usage of spin eigenstates.
    
 
    
@@ -851,7 +851,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JxKetCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JxKetCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenket of Jx.
    
 
    See JzKetCoupled for the usage of coupled spin eigenstates.
    
 
    
@@ -865,7 +865,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JyBra(j, m)[source]
    
+class sympy.physics.quantum.spin.JyBra(j, m)[source]
 
    Eigenbra of Jy.
    
 
    See JzKet for the usage of spin eigenstates.
    
 
    
@@ -879,7 +879,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JyBraCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JyBraCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenbra of Jy.
    
 
    See JzKetCoupled for the usage of coupled spin eigenstates.
    
 
    
@@ -893,7 +893,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JyKet(j, m)[source]
    
+class sympy.physics.quantum.spin.JyKet(j, m)[source]
 
    Eigenket of Jy.
    
 
    See JzKet for the usage of spin eigenstates.
    
 
    
@@ -907,7 +907,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JyKetCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JyKetCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenket of Jy.
    
 
    See JzKetCoupled for the usage of coupled spin eigenstates.
    
 
    
@@ -921,7 +921,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JzBra(j, m)[source]
    
+class sympy.physics.quantum.spin.JzBra(j, m)[source]
 
    Eigenbra of Jz.
    
 
    See the JzKet for the usage of spin eigenstates.
    
 
    
@@ -935,7 +935,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JzBraCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JzBraCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenbra of Jz.
    
 
    See the JzKetCoupled for the usage of coupled spin eigenstates.
    
 
    
@@ -949,7 +949,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JzKet(j, m)[source]
    
+class sympy.physics.quantum.spin.JzKet(j, m)[source]
 
    Eigenket of Jz.
    
 
    Spin state which is an eigenstate of the Jz operator. Uncoupled states,
 that is states representing the interaction of multiple separate spin
@@ -1065,7 +1065,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JzKetCoupled(j, m, jn, *jcoupling)[source]
    
+class sympy.physics.quantum.spin.JzKetCoupled(j, m, jn, *jcoupling)[source]
 
    Coupled eigenket of Jz
    
 
    Spin state that is an eigenket of Jz which represents the coupling of
 separate spin spaces.
    
@@ -1183,13 +1183,13 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.JzOp(*args, **kwargs)[source]
    
+class sympy.physics.quantum.spin.JzOp(*args, **kwargs)[source]
 
    The Jz operator.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.spin.Rotation(*args, **kwargs)[source]
    
+class sympy.physics.quantum.spin.Rotation(*args, **kwargs)[source]
 
    Wigner D operator in terms of Euler angles.
    
 
    Defines the rotation operator in terms of the Euler angles defined by
 the z-y-z convention for a passive transformation. That is the coordinate
@@ -1251,7 +1251,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod D(j, m, mp, alpha, beta, gamma)[source]
    
+classmethod D(j, m, mp, alpha, beta, gamma)[source]
 
    Wigner D-function.
    
 
    Returns an instance of the WignerD class corresponding to the Wigner-D
 function specified by the parameters.
    
@@ -1304,7 +1304,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod d(j, m, mp, beta)[source]
    
+classmethod d(j, m, mp, beta)[source]
 
    Wigner small-d function.
    
 
    Returns an instance of the WignerD class corresponding to the Wigner-D
 function specified by the parameters with the alpha and gamma angles
@@ -1352,7 +1352,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.spin.WignerD(*args, **hints)[source]
    
+class sympy.physics.quantum.spin.WignerD(*args, **hints)[source]
 
    Wigner-D function
    
 
    The Wigner D-function gives the matrix elements of the rotation
 operator in the jm-representation. For the Euler angles \(\alpha\),
@@ -1445,7 +1445,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.spin.couple(expr, jcoupling_list=None)[source]
    
+sympy.physics.quantum.spin.couple(expr, jcoupling_list=None)[source]
 
    Couple a tensor product of spin states
    
 
    This function can be used to couple an uncoupled tensor product of spin
 states. All of the eigenstates to be coupled must be of the same class. It
@@ -1504,7 +1504,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.spin.uncouple(expr, jn=None, jcoupling_list=None)[source]
    
+sympy.physics.quantum.spin.uncouple(expr, jn=None, jcoupling_list=None)[source]
 
    Uncouple a coupled spin state
    
 
    Gives the uncoupled representation of a coupled spin state. Arguments must
 be either a spin state that is a subclass of CoupledSpinState or a spin
diff --git a/dev/modules/physics/quantum/state.html b/dev/modules/physics/quantum/state.html
index 0dae9d635e8..9c87ce739e5 100644
--- a/dev/modules/physics/quantum/state.html
+++ b/dev/modules/physics/quantum/state.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    Dirac notation for states.
    
 
    
 
    
-class sympy.physics.quantum.state.Bra(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.Bra(*args, **kwargs)[source]
 
    A general time-independent Bra in quantum mechanics.
    
 
    Inherits from State and BraBase. A Bra is the dual of a Ket [R777]. This
 class and its subclasses will be the main classes that users will use for
@@ -863,7 +863,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.BraBase(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.BraBase(*args, **kwargs)[source]
 
    Base class for Bras.
    
 
    This class defines the dual property and the brackets for printing. This
 is an abstract base class and you should not instantiate it directly,
@@ -872,7 +872,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.Ket(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.Ket(*args, **kwargs)[source]
 
    A general time-independent Ket in quantum mechanics.
    
 
    Inherits from State and KetBase. This class should be used as the base
 class for all physical, time-independent Kets in a system. This class
@@ -936,7 +936,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.KetBase(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.KetBase(*args, **kwargs)[source]
 
    Base class for Kets.
    
 
    This class defines the dual property and the brackets for printing. This is
 an abstract base class and you should not instantiate it directly, instead
@@ -945,13 +945,13 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.OrthogonalBra(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.OrthogonalBra(*args, **kwargs)[source]
 
    Orthogonal Bra in quantum mechanics.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.state.OrthogonalKet(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.OrthogonalKet(*args, **kwargs)[source]
 
    Orthogonal Ket in quantum mechanics.
    
 
    The inner product of two states with different labels will give zero,
 states with the same label will give one.
    
@@ -969,19 +969,19 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.OrthogonalState(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.OrthogonalState(*args, **kwargs)[source]
 
    General abstract quantum state used as a base class for Ket and Bra.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.state.State(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.State(*args, **kwargs)[source]
 
    General abstract quantum state used as a base class for Ket and Bra.
    
 
    
 
 
    
 
    
-class sympy.physics.quantum.state.StateBase(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.StateBase(*args, **kwargs)[source]
 
    Abstract base class for general abstract states in quantum mechanics.
    
 
    All other state classes defined will need to inherit from this class. It
 carries the basic structure for all other states such as dual, _eval_adjoint
@@ -996,7 +996,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod dual_class()[source]
    
+classmethod dual_class()[source]
 
    Return the class used to construct the dual.
    
 
    
 
@@ -1010,7 +1010,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.TimeDepBra(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.TimeDepBra(*args, **kwargs)[source]
 
    General time-dependent Bra in quantum mechanics.
    
 
    This inherits from TimeDepState and BraBase and is the main class that
 should be used for Bras that vary with time. Its dual is a TimeDepBra.
    
@@ -1043,7 +1043,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.TimeDepKet(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.TimeDepKet(*args, **kwargs)[source]
 
    General time-dependent Ket in quantum mechanics.
    
 
    This inherits from TimeDepState and KetBase and is the main class
 that should be used for Kets that vary with time. Its dual is a
@@ -1083,7 +1083,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.TimeDepState(*args, **kwargs)[source]
    
+class sympy.physics.quantum.state.TimeDepState(*args, **kwargs)[source]
 
    Base class for a general time-dependent quantum state.
    
 
    This class is used as a base class for any time-dependent state. The main
 difference between this class and the time-independent state is that this
@@ -1115,7 +1115,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.quantum.state.Wavefunction(*args)[source]
    
+class sympy.physics.quantum.state.Wavefunction(*args)[source]
 
    Class for representations in continuous bases
    
 
    This class takes an expression and coordinates in its constructor. It can
 be used to easily calculate normalizations and probabilities.
    
@@ -1285,7 +1285,7 @@ 
    Documentation Version
    
 
 
    
 
    
-normalize()[source]
    
+normalize()[source]
 
    Return a normalized version of the Wavefunction
    
 
    Examples
    
 
    >>> from sympy import symbols, pi
@@ -1304,7 +1304,7 @@ 
    Documentation Version
    
 
 
    
 
    
-prob()[source]
    
+prob()[source]
 
    Return the absolute magnitude of the w.f., \(|\psi(x)|^2\)
    
 
    Examples
    
 
    >>> from sympy import symbols, pi
diff --git a/dev/modules/physics/quantum/tensorproduct.html b/dev/modules/physics/quantum/tensorproduct.html
index a80f789d6cd..f5d5221af97 100644
--- a/dev/modules/physics/quantum/tensorproduct.html
+++ b/dev/modules/physics/quantum/tensorproduct.html
@@ -803,7 +803,7 @@ 
    Documentation Version
    
 
    Abstract tensor product.
    
 
    
 
    
-class sympy.physics.quantum.tensorproduct.TensorProduct(*args)[source]
    
+class sympy.physics.quantum.tensorproduct.TensorProduct(*args)[source]
 
    The tensor product of two or more arguments.
    
 
    For matrices, this uses matrix_tensor_product to compute the Kronecker
 or tensor product matrix. For other objects a symbolic TensorProduct
@@ -872,7 +872,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.quantum.tensorproduct.tensor_product_simp(e, **hints)[source]
    
+sympy.physics.quantum.tensorproduct.tensor_product_simp(e, **hints)[source]
 
    Try to simplify and combine TensorProducts.
    
 
    In general this will try to pull expressions inside of TensorProducts.
 It currently only works for relatively simple cases where the products have
diff --git a/dev/modules/physics/secondquant.html b/dev/modules/physics/secondquant.html
index ca429b98ff7..ea8e92e86a3 100644
--- a/dev/modules/physics/secondquant.html
+++ b/dev/modules/physics/secondquant.html
@@ -805,7 +805,7 @@ 
    Documentation Version
    
 of Many-Particle Systems.”
    
 
    
 
    
-class sympy.physics.secondquant.AnnihilateBoson(k)[source]
    
+class sympy.physics.secondquant.AnnihilateBoson(k)[source]
 
    Bosonic annihilation operator.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import B
@@ -816,7 +816,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-apply_operator(state)[source]
    
+apply_operator(state)[source]
 
    Apply state to self if self is not symbolic and state is a FockStateKet, else
 multiply self by state.
    
 
    Examples
    
@@ -834,11 +834,11 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.AnnihilateFermion(k)[source]
    
+class sympy.physics.secondquant.AnnihilateFermion(k)[source]
 
    Fermionic annihilation operator.
    
 
    
 
    
-apply_operator(state)[source]
    
+apply_operator(state)[source]
 
    Apply state to self if self is not symbolic and state is a FockStateKet, else
 multiply self by state.
    
 
    Examples
    
@@ -946,7 +946,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.AntiSymmetricTensor(symbol, upper, lower)[source]
    
+class sympy.physics.secondquant.AntiSymmetricTensor(symbol, upper, lower)[source]
 
    Stores upper and lower indices in separate Tuple’s.
    
 
    Each group of indices is assumed to be antisymmetric.
    
 
    Examples
    
@@ -1016,37 +1016,37 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.B[source]
    
+sympy.physics.secondquant.B[source]
 
    alias of AnnihilateBoson
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.BBra[source]
    
+sympy.physics.secondquant.BBra[source]
 
    alias of FockStateBosonBra
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.BKet[source]
    
+sympy.physics.secondquant.BKet[source]
 
    alias of FockStateBosonKet
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.Bd[source]
    
+sympy.physics.secondquant.Bd[source]
 
    alias of CreateBoson
    
 
    
 
 
    
 
    
-class sympy.physics.secondquant.BosonicBasis[source]
    
+class sympy.physics.secondquant.BosonicBasis[source]
 
    Base class for a basis set of bosonic Fock states.
    
 
    
 
 
    
 
    
-class sympy.physics.secondquant.Commutator(a, b)[source]
    
+class sympy.physics.secondquant.Commutator(a, b)[source]
 
    The Commutator:  [A, B] = A*B - B*A
    
 
    The arguments are ordered according to .__cmp__()
    
 
    Examples
    
@@ -1087,7 +1087,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Enables the computation of complex expressions.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import Commutator, F, Fd
@@ -1103,7 +1103,7 @@ 
    Documentation Version
    
 
 
    
 
    
-classmethod eval(a, b)[source]
    
+classmethod eval(a, b)[source]
 
    The Commutator [A,B] is on canonical form if A < B.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import Commutator, F, Fd
@@ -1120,11 +1120,11 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.CreateBoson(k)[source]
    
+class sympy.physics.secondquant.CreateBoson(k)[source]
 
    Bosonic creation operator.
    
 
    
 
    
-apply_operator(state)[source]
    
+apply_operator(state)[source]
 
    Apply state to self if self is not symbolic and state is a FockStateKet, else
 multiply self by state.
    
 
    Examples
    
@@ -1142,11 +1142,11 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.CreateFermion(k)[source]
    
+class sympy.physics.secondquant.CreateFermion(k)[source]
 
    Fermionic creation operator.
    
 
    
 
    
-apply_operator(state)[source]
    
+apply_operator(state)[source]
 
    Apply state to self if self is not symbolic and state is a FockStateKet, else
 multiply self by state.
    
 
    Examples
    
@@ -1254,7 +1254,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.Dagger(arg)[source]
    
+class sympy.physics.secondquant.Dagger(arg)[source]
 
    Hermitian conjugate of creation/annihilation operators.
    
 
    Examples
    
 
    >>> from sympy import I
@@ -1269,7 +1269,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod eval(arg)[source]
    
+classmethod eval(arg)[source]
 
    Evaluates the Dagger instance.
    
 
    Examples
    
 
    >>> from sympy import I
@@ -1289,31 +1289,31 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.F[source]
    
+sympy.physics.secondquant.F[source]
 
    alias of AnnihilateFermion
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.FBra[source]
    
+sympy.physics.secondquant.FBra[source]
 
    alias of FockStateFermionBra
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.FKet[source]
    
+sympy.physics.secondquant.FKet[source]
 
    alias of FockStateFermionKet
    
 
    
 
 
    
 
    
-sympy.physics.secondquant.Fd[source]
    
+sympy.physics.secondquant.Fd[source]
 
    alias of CreateFermion
    
 
    
 
 
    
 
    
-class sympy.physics.secondquant.FixedBosonicBasis(n_particles, n_levels)[source]
    
+class sympy.physics.secondquant.FixedBosonicBasis(n_particles, n_levels)[source]
 
    Fixed particle number basis set.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import FixedBosonicBasis
@@ -1329,7 +1329,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-index(state)[source]
    
+index(state)[source]
 
    Returns the index of state in basis.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import FixedBosonicBasis
@@ -1342,7 +1342,7 @@ 
    Documentation Version
    
 
 
    
 
    
-state(i)[source]
    
+state(i)[source]
 
    Returns the state that lies at index i of the basis
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import FixedBosonicBasis
@@ -1357,7 +1357,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockState(occupations)[source]
    
+class sympy.physics.secondquant.FockState(occupations)[source]
 
    Many particle Fock state with a sequence of occupation numbers.
    
 
    Anywhere you can have a FockState, you can also have S.Zero.
 All code must check for this!
    
@@ -1366,7 +1366,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateBosonBra(occupations)[source]
    
+class sympy.physics.secondquant.FockStateBosonBra(occupations)[source]
 
    Describes a collection of BosonBra particles.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import BBra
@@ -1378,7 +1378,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateBosonKet(occupations)[source]
    
+class sympy.physics.secondquant.FockStateBosonKet(occupations)[source]
 
    Many particle Fock state with a sequence of occupation numbers.
    
 
    Occupation numbers can be any integer >= 0.
    
 
    Examples
    
@@ -1391,13 +1391,13 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateBra(occupations)[source]
    
+class sympy.physics.secondquant.FockStateBra(occupations)[source]
 
    Representation of a bra.
    
 
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateFermionBra(occupations, fermi_level=0)[source]
    
+class sympy.physics.secondquant.FockStateFermionBra(occupations, fermi_level=0)[source]
 
    Examples
    
 
    >>> from sympy.physics.secondquant import FBra
 >>> FBra([1, 2])
@@ -1412,7 +1412,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateFermionKet(occupations, fermi_level=0)[source]
    
+class sympy.physics.secondquant.FockStateFermionKet(occupations, fermi_level=0)[source]
 
    Many-particle Fock state with a sequence of occupied orbits.
    
 
    Explanation
    
 
    Each state can only have one particle, so we choose to store a list of
@@ -1431,13 +1431,13 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.FockStateKet(occupations)[source]
    
+class sympy.physics.secondquant.FockStateKet(occupations)[source]
 
    Representation of a ket.
    
 
    
 
 
    
 
    
-class sympy.physics.secondquant.InnerProduct(bra, ket)[source]
    
+class sympy.physics.secondquant.InnerProduct(bra, ket)[source]
 
    An unevaluated inner product between a bra and ket.
    
 
    Explanation
    
 
    Currently this class just reduces things to a product of
@@ -1460,7 +1460,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.KroneckerDelta(i, j, delta_range=None)[source]
    
+class sympy.physics.secondquant.KroneckerDelta(i, j, delta_range=None)[source]
 
    The discrete, or Kronecker, delta function.
    
 
    
 
    Parameters:
    
@@ -1511,7 +1511,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-classmethod eval(i, j, delta_range=None)[source]
    
+classmethod eval(i, j, delta_range=None)[source]
 
    Evaluates the discrete delta function.
    
 
    Examples
    
 
    >>> from sympy import KroneckerDelta
@@ -1708,7 +1708,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.NO(arg)[source]
    
+class sympy.physics.secondquant.NO(arg)[source]
 
    This Object is used to represent normal ordering brackets.
    
 
    i.e.  {abcd}  sometimes written  :abcd:
    
 
    Explanation
    
@@ -1733,7 +1733,7 @@ 
    Documentation Version
    
 Nothing more, nothing less.
    
 
    
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Either removes the brackets or enables complex computations
 in its arguments.
    
 
    Examples
    
@@ -1754,7 +1754,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_subNO(i)[source]
    
+get_subNO(i)[source]
 
    Returns a NO() without FermionicOperator at index i.
    
 
    Examples
    
 
    >>> from sympy import symbols
@@ -1814,7 +1814,7 @@ 
    Documentation Version
    
 
 
    
 
    
-iter_q_annihilators()[source]
    
+iter_q_annihilators()[source]
 
    Iterates over the annihilation operators.
    
 
    Examples
    
 
    >>> from sympy import symbols
@@ -1836,7 +1836,7 @@ 
    Documentation Version
    
 
 
    
 
    
-iter_q_creators()[source]
    
+iter_q_creators()[source]
 
    Iterates over the creation operators.
    
 
    Examples
    
 
    >>> from sympy import symbols
@@ -1860,12 +1860,12 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.PermutationOperator(i, j)[source]
    
+class sympy.physics.secondquant.PermutationOperator(i, j)[source]
 
    Represents the index permutation operator P(ij).
    
 
    P(ij)*f(i)*g(j) = f(i)*g(j) - f(j)*g(i)
    
 
    
 
    
-get_permuted(expr)[source]
    
+get_permuted(expr)[source]
 
    Returns -expr with permuted indices.
    
 
    Explanation
    
 
    >>> from sympy import symbols, Function
@@ -1882,7 +1882,7 @@ 
    Documentation Version
    
 
 
    
 
    
-class sympy.physics.secondquant.VarBosonicBasis(n_max)[source]
    
+class sympy.physics.secondquant.VarBosonicBasis(n_max)[source]
 
    A single state, variable particle number basis set.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import VarBosonicBasis
@@ -1894,7 +1894,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-index(state)[source]
    
+index(state)[source]
 
    Returns the index of state in basis.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import VarBosonicBasis
@@ -1912,7 +1912,7 @@ 
    Documentation Version
    
 
 
    
 
    
-state(i)[source]
    
+state(i)[source]
 
    The state of a single basis.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import VarBosonicBasis
@@ -1927,7 +1927,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.apply_operators(e)[source]
    
+sympy.physics.secondquant.apply_operators(e)[source]
 
    Take a SymPy expression with operators and states and apply the operators.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import apply_operators
@@ -1940,7 +1940,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.contraction(a, b)[source]
    
+sympy.physics.secondquant.contraction(a, b)[source]
 
    Calculates contraction of Fermionic operators a and b.
    
 
    Examples
    
 
    >>> from sympy import symbols
@@ -1977,7 +1977,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.evaluate_deltas(e)[source]
    
+sympy.physics.secondquant.evaluate_deltas(e)[source]
 
    We evaluate KroneckerDelta symbols in the expression assuming Einstein summation.
    
 
    Explanation
    
 
    If one index is repeated it is summed over and in effect substituted with
@@ -2037,7 +2037,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.matrix_rep(op, basis)[source]
    
+sympy.physics.secondquant.matrix_rep(op, basis)[source]
 
    Find the representation of an operator in a basis.
    
 
    Examples
    
 
    >>> from sympy.physics.secondquant import VarBosonicBasis, B, matrix_rep
@@ -2063,7 +2063,7 @@ 
    Documentation Version
    
 
    permutation_operators,
    
 
    
 
-)[source]
+)[source]
 
    Performs simplification by introducing PermutationOperators where appropriate.
    
 
    Explanation
    
 
    
@@ -2106,7 +2106,7 @@ 
    Documentation Version
    
 
    pretty_indices={},
    
 
    
 
-)[source]
+)[source]
 
    Collect terms by substitution of dummy variables.
    
 
    Explanation
    
 
    This routine allows simplification of Add expressions containing terms
@@ -2165,7 +2165,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.secondquant.wicks(e, **kw_args)[source]
    
+sympy.physics.secondquant.wicks(e, **kw_args)[source]
 
    Returns the normal ordered equivalent of an expression using Wicks Theorem.
    
 
    Examples
    
 
    >>> from sympy import symbols, Dummy
diff --git a/dev/modules/physics/sho.html b/dev/modules/physics/sho.html
index b2e490d16b6..9d9f19d12dd 100644
--- a/dev/modules/physics/sho.html
+++ b/dev/modules/physics/sho.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Quantum Harmonic Oscillator in 3-D
    
 
    
 
    
-sympy.physics.sho.E_nl(n, l, hw)[source]
    
+sympy.physics.sho.E_nl(n, l, hw)[source]
 
    Returns the Energy of an isotropic harmonic oscillator.
    
 
    
 
    Parameters:
    
@@ -838,7 +838,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.sho.R_nl(n, l, nu, r)[source]
    
+sympy.physics.sho.R_nl(n, l, nu, r)[source]
 
    Returns the radial wavefunction R_{nl} for a 3d isotropic harmonic
 oscillator.
    
 
    
diff --git a/dev/modules/physics/units/dimensions.html b/dev/modules/physics/units/dimensions.html
index d22f9f0f299..c2bc7fbee52 100644
--- a/dev/modules/physics/units/dimensions.html
+++ b/dev/modules/physics/units/dimensions.html
@@ -809,7 +809,7 @@ 
    Documentation Version
    
 question of adding time to length has no meaning.
    
 
    
 
    
-class sympy.physics.units.dimensions.Dimension(name, symbol=None)[source]
    
+class sympy.physics.units.dimensions.Dimension(name, symbol=None)[source]
 
    This class represent the dimension of a physical quantities.
    
 
    The Dimension constructor takes as parameters a name and an optional
 symbol.
    
@@ -850,7 +850,7 @@ 
    Documentation Version
    
 
    
 
    
 
    
-has_integer_powers(dim_sys)[source]
    
+has_integer_powers(dim_sys)[source]
 
    Check if the dimension object has only integer powers.
    
 
    All the dimension powers should be integers, but rational powers may
 appear in intermediate steps. This method may be used to check that the
@@ -869,7 +869,7 @@ 
    Documentation Version
    
 
    dimensional_dependencies={},
    
 
    
 
-)[source]
+)[source]
 
    DimensionSystem represents a coherent set of dimensions.
    
 
    The constructor takes three parameters:
    
 
      
@@ -902,7 +902,7 @@ 
      Documentation Version
      
 
 
      
 
      
-dim_can_vector(dim)[source]
      
+dim_can_vector(dim)[source]
 
      Useless method, kept for compatibility with previous versions.
      
 
      DO NOT USE.
      
 
      Dimensional representation in terms of the canonical base dimensions.
      
@@ -910,7 +910,7 @@ 
      Documentation Version
      
 
 
      
 
      
-dim_vector(dim)[source]
      
+dim_vector(dim)[source]
 
      Useless method, kept for compatibility with previous versions.
      
 
      DO NOT USE.
      
 
      Vector representation in terms of the base dimensions.
      
@@ -941,7 +941,7 @@ 
      Documentation Version
      
 
 
      
 
      
-is_dimensionless(dimension)[source]
      
+is_dimensionless(dimension)[source]
 
      Check if the dimension object really has a dimension.
      
 
      A dimension should have at least one component with non-zero power.
      
 
      
@@ -956,7 +956,7 @@ 
      Documentation Version
      
 
 
      
 
      
-print_dim_base(dim)[source]
      
+print_dim_base(dim)[source]
 
      Give the string expression of a dimension in term of the basis symbols.
      
 
      
 
diff --git a/dev/modules/physics/units/prefixes.html b/dev/modules/physics/units/prefixes.html
index 6df30d1cfcb..39d8c5045f0 100644
--- a/dev/modules/physics/units/prefixes.html
+++ b/dev/modules/physics/units/prefixes.html
@@ -815,7 +815,7 @@ 
      Documentation Version
      
 
      latex_repr=None,
      
 
      
 
-)[source]
+)[source]
 
      This class represent prefixes, with their name, symbol and factor.
      
 
      Prefixes are used to create derived units from a given unit. They should
 always be encapsulated into units.
      
diff --git a/dev/modules/physics/units/quantities.html b/dev/modules/physics/units/quantities.html
index 6d19d143929..8521f9092d4 100644
--- a/dev/modules/physics/units/quantities.html
+++ b/dev/modules/physics/units/quantities.html
@@ -816,7 +816,7 @@ 
      Documentation Version
      
 
      **assumptions,
      
 
      
 
-)[source]
+)[source]
 
      Physical quantity: can be a unit of measure, a constant or a generic quantity.
      
 
      
 
      
@@ -827,7 +827,7 @@ 
      Documentation Version
      
 
 
      
 
      
-convert_to(other, unit_system='SI')[source]
      
+convert_to(other, unit_system='SI')[source]
      
 
      Convert the quantity to another quantity of same dimensions.
      
 
      Examples
      
 
      >>> from sympy.physics.units import speed_of_light, meter, second
@@ -871,7 +871,7 @@ 
      Documentation Version
      
 
      reference_quantity,
      
 
      
 
-)[source]
+)[source]
 
      Setting a scale factor that is valid across all unit system.
      
 
    
 
@@ -882,7 +882,7 @@ 
    Documentation Version
    
 
    Several methods to simplify expressions involving unit objects.
    
 
    
 
    
-sympy.physics.units.util.convert_to(expr, target_units, unit_system='SI')[source]
    
+sympy.physics.units.util.convert_to(expr, target_units, unit_system='SI')[source]
 
    Convert expr to the same expression with all of its units and quantities
 represented as factors of target_units, whenever the dimension is compatible.
    
 
    target_units may be a single unit/quantity, or a collection of
diff --git a/dev/modules/physics/units/unitsystem.html b/dev/modules/physics/units/unitsystem.html
index 6632f835c9c..dfa3f1eb629 100644
--- a/dev/modules/physics/units/unitsystem.html
+++ b/dev/modules/physics/units/unitsystem.html
@@ -814,7 +814,7 @@ 
    Documentation Version
    
 
    derived_units: Dict[Dimension, Quantity] = {},
    
 
    
 
-)[source]
+)[source]
 
    UnitSystem represents a coherent set of units.
    
 
    A unit system is basically a dimension system with notions of scales. Many
 of the methods are defined in the same way.
    
@@ -839,7 +839,7 @@ 
    Documentation Version
    
 
    derived_units: Dict[Dimension, Quantity] = {},
    
 
    
 
-)[source]
+)[source]
 
    Extend the current system into a new one.
    
 
    Take the base and normal units of the current system to merge
 them to the base and normal units given in argument.
@@ -848,7 +848,7 @@ 
    Documentation Version
    
 
 
    
 
    
-get_units_non_prefixed() → Set[Quantity][source]
    
+get_units_non_prefixed() → Set[Quantity][source]
 
    Return the units of the system that do not have a prefix.
    
 
    
 
diff --git a/dev/modules/physics/vector/api/classes.html b/dev/modules/physics/vector/api/classes.html
index 6c1a6d86d22..0fe1afda059 100644
--- a/dev/modules/physics/vector/api/classes.html
+++ b/dev/modules/physics/vector/api/classes.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Essential Classes
    
 
    
 
    
-class sympy.physics.vector.frame.CoordinateSym(name, frame, index)[source]
    
+class sympy.physics.vector.frame.CoordinateSym(name, frame, index)[source]
 
    A coordinate symbol/base scalar associated wrt a Reference Frame.
    
 
    Ideally, users should not instantiate this class. Instances of
 this class must only be accessed through the corresponding frame
@@ -850,7 +850,7 @@ 
    Essential Classesvariables=None,
    
 
    
 
-)[source]
+)[source]
 
    A reference frame in classical mechanics.
    
 
    ReferenceFrame is a class used to represent a reference frame in classical
 mechanics. It has a standard basis of three unit vectors in the frame’s
@@ -861,7 +861,7 @@ 
    Essential Classes
 
    
-ang_acc_in(otherframe)[source]
    
+ang_acc_in(otherframe)[source]
 
    Returns the angular acceleration Vector of the ReferenceFrame.
    
 
    Effectively returns the Vector:
    
 
    N_alpha_B
    
@@ -889,7 +889,7 @@ 
    Essential Classes
 
    
-ang_vel_in(otherframe)[source]
    
+ang_vel_in(otherframe)[source]
 
    Returns the angular velocity Vector of the ReferenceFrame.
    
 
    Effectively returns the Vector:
    
 
    ^N omega ^B
    
@@ -917,7 +917,7 @@ 
    Essential Classes
 
    
-dcm(otherframe)[source]
    
+dcm(otherframe)[source]
 
    Returns the direction cosine matrix of this reference frame
 relative to the provided reference frame.
    
 
    The returned matrix can be used to express the orthogonal unit vectors
@@ -994,7 +994,7 @@ 
    Essential Classesrot_order='',
    
 
    
 
-)[source]
+)[source]
 
    Sets the orientation of this reference frame relative to another
 (parent) reference frame.
    
 
    
@@ -1057,7 +1057,7 @@ 
    Essential Classes
 
    
-orient_axis(parent, axis, angle)[source]
    
+orient_axis(parent, axis, angle)[source]
 
    Sets the orientation of this reference frame with respect to a
 parent reference frame by rotating through an angle about an axis fixed
 in the parent reference frame.
    
@@ -1131,7 +1131,7 @@ 
    Essential Classesrotation_order,
    
 
    
 
-)[source]
+)[source]
 
    Rotates this reference frame relative to the parent reference frame
 by right hand rotating through three successive body fixed simple axis
 rotations. Each subsequent axis of rotation is about the “body fixed”
@@ -1216,7 +1216,7 @@ 
    Essential Classes
 
    
-orient_dcm(parent, dcm)[source]
    
+orient_dcm(parent, dcm)[source]
 
    Sets the orientation of this reference frame relative to another (parent) reference frame
 using a direction cosine matrix that describes the rotation from the child to the parent.
    
 
    
@@ -1275,7 +1275,7 @@ 
    Essential Classes
 
    
-orient_quaternion(parent, numbers)[source]
    
+orient_quaternion(parent, numbers)[source]
 
    Sets the orientation of this reference frame relative to a parent
 reference frame via an orientation quaternion. An orientation
 quaternion is defined as a finite rotation a unit vector, (lambda_x,
@@ -1339,7 +1339,7 @@ 
    Essential Classesrotation_order,
    
 
    
 
-)[source]
+)[source]
 
    Rotates this reference frame relative to the parent reference frame
 by right hand rotating through three successive space fixed simple axis
 rotations. Each subsequent axis of rotation is about the “space fixed”
@@ -1439,7 +1439,7 @@ 
    Essential Classeslatexs=None,
    
 
    
 
-)[source]
+)[source]
 
    Returns a new reference frame oriented with respect to this
 reference frame.
    
 
    See ReferenceFrame.orient() for detailed examples of how to orient
@@ -1538,7 +1538,7 @@ 
    Essential Classes*gen_speeds,
    
 
    
 
-)[source]
+)[source]
 
    Returns the partial angular velocities of this frame in the given
 frame with respect to one or more provided generalized speeds.
    
 
    
@@ -1576,7 +1576,7 @@ 
    Essential Classes
 
    
-set_ang_acc(otherframe, value)[source]
    
+set_ang_acc(otherframe, value)[source]
 
    Define the angular acceleration Vector in a ReferenceFrame.
    
 
    Defines the angular acceleration of this ReferenceFrame, in another.
 Angular acceleration can be defined with respect to multiple different
@@ -1608,7 +1608,7 @@ 
    Essential Classes
 
    
-set_ang_vel(otherframe, value)[source]
    
+set_ang_vel(otherframe, value)[source]
 
    Define the angular velocity vector in a ReferenceFrame.
    
 
    Defines the angular velocity of this ReferenceFrame, in another.
 Angular velocity can be defined with respect to multiple different
@@ -1646,7 +1646,7 @@ 
    Essential Classes
 
    
-variable_map(otherframe)[source]
    
+variable_map(otherframe)[source]
 
    Returns a dictionary which expresses the coordinate variables
 of this frame in terms of the variables of otherframe.
    
 
    If Vector.simp is True, returns a simplified version of the mapped
@@ -1747,7 +1747,7 @@ 
    Essential Classes
 
    
-class sympy.physics.vector.vector.Vector(inlist)[source]
    
+class sympy.physics.vector.vector.Vector(inlist)[source]
 
    The class used to define vectors.
    
 
    It along with ReferenceFrame are the building blocks of describing a
 classical mechanics system in PyDy and sympy.physics.vector.
    
@@ -1763,7 +1763,7 @@ 
    Essential Classes
 
    
-angle_between(vec)[source]
    
+angle_between(vec)[source]
 
    Returns the smallest angle between Vector ‘vec’ and self.
    
 
    
 
    Warning
    
@@ -1794,13 +1794,13 @@ 
    Essential Classes
 
    
-applyfunc(f)[source]
    
+applyfunc(f)[source]
 
    Apply a function to each component of a vector.
    
 
    
 
 
    
 
    
-cross(other)[source]
    
+cross(other)[source]
 
    The cross product operator for two Vectors.
    
 
    Returns a Vector, expressed in the same ReferenceFrames as self.
    
 
    
@@ -1830,7 +1830,7 @@ 
    Essential Classes
 
    
-diff(var, frame, var_in_dcm=True)[source]
    
+diff(var, frame, var_in_dcm=True)[source]
 
    Returns the partial derivative of the vector with respect to a
 variable in the provided reference frame.
    
 
    
@@ -1878,13 +1878,13 @@ 
    Essential Classes
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Calls .doit() on each term in the Vector
    
 
    
 
 
    
 
    
-dot(other)[source]
    
+dot(other)[source]
 
    Dot product of two vectors.
    
 
    Returns a scalar, the dot product of the two Vectors
    
 
    
@@ -1913,7 +1913,7 @@ 
    Essential Classes
 
    
-dt(otherframe)[source]
    
+dt(otherframe)[source]
 
    Returns a Vector which is the time derivative of
 the self Vector, taken in frame otherframe.
    
 
    Calls the global time_derivative method
    
@@ -1929,7 +1929,7 @@ 
    Essential Classes
 
    
-express(otherframe, variables=False)[source]
    
+express(otherframe, variables=False)[source]
 
    Returns a Vector equivalent to this one, expressed in otherframe.
 Uses the global express method.
    
 
    
@@ -1960,7 +1960,7 @@ 
    Essential Classes
 
    
-free_dynamicsymbols(reference_frame)[source]
    
+free_dynamicsymbols(reference_frame)[source]
 
    Returns the free dynamic symbols (functions of time t) in the
 measure numbers of the vector expressed in the given reference frame.
    
 
    
@@ -1983,7 +1983,7 @@ 
    Essential Classes
 
    
-free_symbols(reference_frame)[source]
    
+free_symbols(reference_frame)[source]
 
    Returns the free symbols in the measure numbers of the vector
 expressed in the given reference frame.
    
 
    
@@ -2012,7 +2012,7 @@ 
    Essential Classes
 
    
-magnitude()[source]
    
+magnitude()[source]
 
    Returns the magnitude (Euclidean norm) of self.
    
 
    
 
    Warning
    
@@ -2025,13 +2025,13 @@ 
    Essential Classes
 
    
-normalize()[source]
    
+normalize()[source]
 
    Returns a Vector of magnitude 1, codirectional with self.
    
 
    
 
 
    
 
    
-outer(other)[source]
    
+outer(other)[source]
 
    Outer product between two Vectors.
    
 
    A rank increasing operation, which returns a Dyadic from two Vectors
    
 
    
@@ -2053,7 +2053,7 @@ 
    Essential Classes
 
    
-separate()[source]
    
+separate()[source]
 
    The constituents of this vector in different reference frames,
 as per its definition.
    
 
    Returns a dict mapping each ReferenceFrame to the corresponding
@@ -2071,13 +2071,13 @@ 
    Essential Classes
 
    
-simplify()[source]
    
+simplify()[source]
 
    Returns a simplified Vector.
    
 
    
 
 
    
 
    
-subs(*args, **kwargs)[source]
    
+subs(*args, **kwargs)[source]
 
    Substitution on the Vector.
    
 
    Examples
    
 
    >>> from sympy.physics.vector import ReferenceFrame
@@ -2093,7 +2093,7 @@ 
    Essential Classes
 
    
-to_matrix(reference_frame)[source]
    
+to_matrix(reference_frame)[source]
 
    Returns the matrix form of the vector with respect to the given
 frame.
    
 
    
@@ -2134,7 +2134,7 @@ 
    Essential Classes
 
    
-xreplace(rule)[source]
    
+xreplace(rule)[source]
 
    Replace occurrences of objects within the measure numbers of the
 vector.
    
 
    
@@ -2176,7 +2176,7 @@ 
    Essential Classes
 
    
-class sympy.physics.vector.dyadic.Dyadic(inlist)[source]
    
+class sympy.physics.vector.dyadic.Dyadic(inlist)[source]
 
    A Dyadic object.
    
 
    See:
 https://en.wikipedia.org/wiki/Dyadic_tensor
@@ -2186,13 +2186,13 @@ 
    Essential Classes
 
    
-applyfunc(f)[source]
    
+applyfunc(f)[source]
 
    Apply a function to each component of a Dyadic.
    
 
    
 
 
    
 
    
-cross(other)[source]
    
+cross(other)[source]
 
    Returns the dyadic resulting from the dyadic vector cross product:
 Dyadic x Vector.
    
 
    
@@ -2215,13 +2215,13 @@ 
    Essential Classes
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Calls .doit() on each term in the Dyadic
    
 
    
 
 
    
 
    
-dot(other)[source]
    
+dot(other)[source]
 
    The inner product operator for a Dyadic and a Dyadic or Vector.
    
 
    
 
    Parameters:
    
@@ -2246,7 +2246,7 @@ 
    Essential Classes
 
    
-dt(frame)[source]
    
+dt(frame)[source]
 
    Take the time derivative of this Dyadic in a frame.
    
 
    This function calls the global time_derivative method
    
 
    
@@ -2273,7 +2273,7 @@ 
    Essential Classes
 
    
-express(frame1, frame2=None)[source]
    
+express(frame1, frame2=None)[source]
 
    Expresses this Dyadic in alternate frame(s)
    
 
    The first frame is the list side expression, the second frame is the
 right side; if Dyadic is in form A.x|B.y, you can express it in two
@@ -2314,13 +2314,13 @@ 
    Essential Classes
 
    
-simplify()[source]
    
+simplify()[source]
 
    Returns a simplified Dyadic.
    
 
    
 
 
    
 
    
-subs(*args, **kwargs)[source]
    
+subs(*args, **kwargs)[source]
 
    Substitution on the Dyadic.
    
 
    Examples
    
 
    >>> from sympy.physics.vector import ReferenceFrame
@@ -2343,7 +2343,7 @@ 
    Essential Classessecond_reference_frame=None,
    
 
    
 
-)[source]
+)[source]
 
    Returns the matrix form of the dyadic with respect to one or two
 reference frames.
    
 
    
@@ -2392,7 +2392,7 @@ 
    Essential Classes
 
    
-xreplace(rule)[source]
    
+xreplace(rule)[source]
 
    Replace occurrences of objects within the measure numbers of the
 Dyadic.
    
 
    
diff --git a/dev/modules/physics/vector/api/fieldfunctions.html b/dev/modules/physics/vector/api/fieldfunctions.html
index c98fc8a2bd4..170ce9ab4b9 100644
--- a/dev/modules/physics/vector/api/fieldfunctions.html
+++ b/dev/modules/physics/vector/api/fieldfunctions.html
@@ -806,7 +806,7 @@ 
    Field operation functions
 
    
-sympy.physics.vector.fieldfunctions.curl(vect, frame)[source]
    
+sympy.physics.vector.fieldfunctions.curl(vect, frame)[source]
 
    Returns the curl of a vector field computed wrt the coordinate
 symbols of the given frame.
    
 
    
@@ -837,7 +837,7 @@ 
    Field operation functions
 
    
-sympy.physics.vector.fieldfunctions.divergence(vect, frame)[source]
    
+sympy.physics.vector.fieldfunctions.divergence(vect, frame)[source]
 
    Returns the divergence of a vector field computed wrt the coordinate
 symbols of the given frame.
    
 
    
@@ -868,7 +868,7 @@ 
    Field operation functions
 
    
-sympy.physics.vector.fieldfunctions.gradient(scalar, frame)[source]
    
+sympy.physics.vector.fieldfunctions.gradient(scalar, frame)[source]
 
    Returns the vector gradient of a scalar field computed wrt the
 coordinate symbols of the given frame.
    
 
    
@@ -899,7 +899,7 @@ 
    Field operation functions
 
    
-sympy.physics.vector.fieldfunctions.scalar_potential(field, frame)[source]
    
+sympy.physics.vector.fieldfunctions.scalar_potential(field, frame)[source]
 
    Returns the scalar potential function of a field in a given frame
 (without the added integration constant).
    
 
    
@@ -941,7 +941,7 @@ 
    Field operation functionsorigin,
    
 
    
 
-)[source]
+)[source]
 
    Returns the scalar potential difference between two points in a
 certain frame, wrt a given field.
    
 
    If a scalar field is provided, its values at the two points are
@@ -994,7 +994,7 @@ 
    Field operation functions
    
 
    
 
    
-sympy.physics.vector.fieldfunctions.is_conservative(field)[source]
    
+sympy.physics.vector.fieldfunctions.is_conservative(field)[source]
 
    Checks if a field is conservative.
    
 
    
 
    Parameters:
    
@@ -1018,7 +1018,7 @@ 
    Checking the type of vector field
 
    
-sympy.physics.vector.fieldfunctions.is_solenoidal(field)[source]
    
+sympy.physics.vector.fieldfunctions.is_solenoidal(field)[source]
 
    Checks if a field is solenoidal.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/physics/vector/api/functions.html b/dev/modules/physics/vector/api/functions.html
index 4b10f23d65c..6c4a26f433e 100644
--- a/dev/modules/physics/vector/api/functions.html
+++ b/dev/modules/physics/vector/api/functions.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Essential Functions (Docstrings)
    
 
    
 
    
-sympy.physics.vector.dynamicsymbols(names, level=0, **assumptions)[source]
    
+sympy.physics.vector.dynamicsymbols(names, level=0, **assumptions)[source]
 
    Uses symbols and Function for functions of time.
    
 
    Creates a SymPy UndefinedFunction, which is then initialized as a function
 of a variable, the default being Symbol(‘t’).
    
@@ -871,7 +871,7 @@ 
    Essential Functions (Docstrings)
 
    
-sympy.physics.vector.functions.dot(vec1, vec2)[source]
    
+sympy.physics.vector.functions.dot(vec1, vec2)[source]
 
    Dot product convenience wrapper for Vector.dot(): 
 Dot product of two vectors.
    
 
    
@@ -903,7 +903,7 @@ 
    Essential Functions (Docstrings)
 
    
-sympy.physics.vector.functions.cross(vec1, vec2)[source]
    
+sympy.physics.vector.functions.cross(vec1, vec2)[source]
 
    Cross product convenience wrapper for Vector.cross(): 
 The cross product operator for two Vectors.
    
 
    
@@ -936,7 +936,7 @@ 
    Essential Functions (Docstrings)
 
    
-sympy.physics.vector.functions.outer(vec1, vec2)[source]
    
+sympy.physics.vector.functions.outer(vec1, vec2)[source]
 
    Outer product convenience wrapper for Vector.outer():
 Outer product between two Vectors.
    
 
    
@@ -961,7 +961,7 @@ 
    Essential Functions (Docstrings)
 
    
-sympy.physics.vector.functions.express(expr, frame, frame2=None, variables=False)[source]
    
+sympy.physics.vector.functions.express(expr, frame, frame2=None, variables=False)[source]
 
    Global function for ‘express’ functionality.
    
 
    Re-expresses a Vector, scalar(sympyfiable) or Dyadic in given frame.
    
 
    Refer to the local methods of Vector and Dyadic for details.
@@ -1011,7 +1011,7 @@ 
    Essential Functions (Docstrings)
 
    
-sympy.physics.vector.functions.time_derivative(expr, frame, order=1)[source]
    
+sympy.physics.vector.functions.time_derivative(expr, frame, order=1)[source]
 
    Calculate the time derivative of a vector/scalar field function
 or dyadic expression in given frame.
    
 
    
diff --git a/dev/modules/physics/vector/api/kinematics.html b/dev/modules/physics/vector/api/kinematics.html
index 4f26263f239..2327a3c7c04 100644
--- a/dev/modules/physics/vector/api/kinematics.html
+++ b/dev/modules/physics/vector/api/kinematics.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Kinematics (Docstrings)
    
 
    
 
    
-class sympy.physics.vector.point.Point(name)[source]
    
+class sympy.physics.vector.point.Point(name)[source]
 
    This object represents a point in a dynamic system.
    
 
    It stores the: position, velocity, and acceleration of a point.
 The position is a vector defined as the vector distance from a parent
@@ -855,7 +855,7 @@ 
    Documentation Version
    
 
    interframe,
    
 
    
 
-)[source]
+)[source]
 
    Sets the acceleration of this point with the 1-point theory.
    
 
    The 1-point theory for point acceleration looks like this:
    
 
    ^N a^P = ^B a^P + ^N a^O + ^N alpha^B x r^OP + ^N omega^B x (^N omega^B
@@ -910,7 +910,7 @@ 
    Documentation Version
    
 
    fixedframe,
    
 
    
 
-)[source]
+)[source]
 
    Sets the acceleration of this point with the 2-point theory.
    
 
    The 2-point theory for point acceleration looks like this:
    
 
    ^N a^P = ^N a^O + ^N alpha^B x r^OP + ^N omega^B x (^N omega^B x r^OP)
    
@@ -951,7 +951,7 @@ 
    Documentation Version
    
 
 
    
 
    
-acc(frame)[source]
    
+acc(frame)[source]
 
    The acceleration Vector of this Point in a ReferenceFrame.
    
 
    
 
    Parameters:
    
@@ -975,7 +975,7 @@ 
    Documentation Version
    
 
 
    
 
    
-locatenew(name, value)[source]
    
+locatenew(name, value)[source]
 
    Creates a new point with a position defined from this point.
    
 
    
 
    Parameters:
    
@@ -1000,7 +1000,7 @@ 
    Documentation Version
    
 
 
    
 
    
-partial_velocity(frame, *gen_speeds)[source]
    
+partial_velocity(frame, *gen_speeds)[source]
 
    Returns the partial velocities of the linear velocity vector of this
 point in the given frame with respect to one or more provided
 generalized speeds.
    
@@ -1041,7 +1041,7 @@ 
    Documentation Version
    
 
 
    
 
    
-pos_from(otherpoint)[source]
    
+pos_from(otherpoint)[source]
 
    Returns a Vector distance between this Point and the other Point.
    
 
    
 
    Parameters:
    
@@ -1065,7 +1065,7 @@ 
    Documentation Version
    
 
 
    
 
    
-set_acc(frame, value)[source]
    
+set_acc(frame, value)[source]
 
    Used to set the acceleration of this Point in a ReferenceFrame.
    
 
    
 
    Parameters:
    
@@ -1092,7 +1092,7 @@ 
    Documentation Version
    
 
 
    
 
    
-set_pos(otherpoint, value)[source]
    
+set_pos(otherpoint, value)[source]
 
    Used to set the position of this point w.r.t. another point.
    
 
    
 
    Parameters:
    
@@ -1120,7 +1120,7 @@ 
    Documentation Version
    
 
 
    
 
    
-set_vel(frame, value)[source]
    
+set_vel(frame, value)[source]
 
    Sets the velocity Vector of this Point in a ReferenceFrame.
    
 
    
 
    Parameters:
    
@@ -1155,7 +1155,7 @@ 
    Documentation Version
    
 
    interframe,
    
 
    
 
-)[source]
+)[source]
 
    Sets the velocity of this point with the 1-point theory.
    
 
    The 1-point theory for point velocity looks like this:
    
 
    ^N v^P = ^B v^P + ^N v^O + ^N omega^B x r^OP
    
@@ -1209,7 +1209,7 @@ 
    Documentation Version
    
 
    fixedframe,
    
 
    
 
-)[source]
+)[source]
 
    Sets the velocity of this point with the 2-point theory.
    
 
    The 2-point theory for point velocity looks like this:
    
 
    ^N v^P = ^N v^O + ^N omega^B x r^OP
    
@@ -1250,7 +1250,7 @@ 
    Documentation Version
    
 
 
    
 
    
-vel(frame)[source]
    
+vel(frame)[source]
 
    The velocity Vector of this Point in the ReferenceFrame.
    
 
    
 
    Parameters:
    
@@ -1293,7 +1293,7 @@ 
    Documentation Version
    
 
    kinematic_equations
    
 
    
 
    
-sympy.physics.vector.functions.get_motion_params(frame, **kwargs)[source]
    
+sympy.physics.vector.functions.get_motion_params(frame, **kwargs)[source]
 
    Returns the three motion parameters - (acceleration, velocity, and
 position) as vectorial functions of time in the given frame.
    
 
    If a higher order differential function is provided, the lower order
@@ -1374,7 +1374,7 @@ 
    Documentation Version
    
 
    rot_order='',
    
 
    
 
-)[source]
+)[source]
 
    Gives equations relating the qdot’s to u’s for a rotation type.
    
 
    Supply rotation type and order as in orient. Speeds are assumed to be
 body-fixed; if we are defining the orientation of B in A using by rot_type,
@@ -1415,7 +1415,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.physics.vector.functions.partial_velocity(vel_vecs, gen_speeds, frame)[source]
    
+sympy.physics.vector.functions.partial_velocity(vel_vecs, gen_speeds, frame)[source]
 
    Returns a list of partial velocities with respect to the provided
 generalized speeds in the given reference frame for each of the supplied
 velocity vectors.
    
diff --git a/dev/modules/physics/vector/api/printing.html b/dev/modules/physics/vector/api/printing.html
index 9f552e1ed44..b630aa44e77 100644
--- a/dev/modules/physics/vector/api/printing.html
+++ b/dev/modules/physics/vector/api/printing.html
@@ -802,7 +802,7 @@ 
    Documentation Version
    
 
    Printing (Docstrings)
    
 
    
 
    
-sympy.physics.vector.printing.init_vprinting(**kwargs)[source]
    
+sympy.physics.vector.printing.init_vprinting(**kwargs)[source]
 
    Initializes time derivative printing for all SymPy objects, i.e. any
 functions of time will be displayed in a more compact notation. The main
 benefit of this is for printing of time derivatives; instead of
@@ -950,7 +950,7 @@ 
    Printing (Docstrings)
 
    
-sympy.physics.vector.printing.vprint(expr, **settings)[source]
    
+sympy.physics.vector.printing.vprint(expr, **settings)[source]
 
    Function for printing of expressions generated in the
 sympy.physics vector package.
    
 
    Extends SymPy’s StrPrinter, takes the same setting accepted by SymPy’s
@@ -980,7 +980,7 @@ 
    Printing (Docstrings)
 
    
-sympy.physics.vector.printing.vpprint(expr, **settings)[source]
    
+sympy.physics.vector.printing.vpprint(expr, **settings)[source]
 
    Function for pretty printing of expressions generated in the
 sympy.physics vector package.
    
 
    Mainly used for expressions not inside a vector; the output of running
@@ -1002,7 +1002,7 @@ 
    Printing (Docstrings)
 
    
-sympy.physics.vector.printing.vlatex(expr, **settings)[source]
    
+sympy.physics.vector.printing.vlatex(expr, **settings)[source]
 
    Function for printing latex representation of sympy.physics.vector
 objects.
    
 
    For latex representation of Vectors, Dyadics, and dynamicsymbols. Takes the
diff --git a/dev/modules/physics/wigner.html b/dev/modules/physics/wigner.html
index 2991463420c..500b5658ba4 100644
--- a/dev/modules/physics/wigner.html
+++ b/dev/modules/physics/wigner.html
@@ -868,7 +868,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.clebsch_gordan(j_1, j_2, j_3, m_1, m_2, m_3)[source]
    
+sympy.physics.wigner.clebsch_gordan(j_1, j_2, j_3, m_1, m_2, m_3)[source]
 
    Calculates the Clebsch-Gordan coefficient.
 \(\left\langle j_1 m_1 \; j_2 m_2 | j_3 m_3 \right\rangle\).
    
 
    The reference for this function is [Edmonds74].
    
@@ -913,7 +913,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.dot_rot_grad_Ynm(j, p, l, m, theta, phi)[source]
    
+sympy.physics.wigner.dot_rot_grad_Ynm(j, p, l, m, theta, phi)[source]
 
    Returns dot product of rotational gradients of spherical harmonics.
    
 
    Explanation
    
 
    This function returns the right hand side of the following expression:
    
@@ -938,7 +938,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.gaunt(l_1, l_2, l_3, m_1, m_2, m_3, prec=None)[source]
    
+sympy.physics.wigner.gaunt(l_1, l_2, l_3, m_1, m_2, m_3, prec=None)[source]
 
    Calculate the Gaunt coefficient.
    
 
    
 
    Parameters:
    
@@ -1033,7 +1033,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.racah(aa, bb, cc, dd, ee, ff, prec=None)[source]
    
+sympy.physics.wigner.racah(aa, bb, cc, dd, ee, ff, prec=None)[source]
 
    Calculate the Racah symbol \(W(a,b,c,d;e,f)\).
    
 
    
 
    Parameters:
    
@@ -1093,7 +1093,7 @@ 
    Authors
    prec=None,
    
 
    
 
-)[source]
+)[source]
 
    Calculate the real Gaunt coefficient.
    
 
    
 
    Parameters:
    
@@ -1209,7 +1209,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.wigner_3j(j_1, j_2, j_3, m_1, m_2, m_3)[source]
    
+sympy.physics.wigner.wigner_3j(j_1, j_2, j_3, m_1, m_2, m_3)[source]
 
    Calculate the Wigner 3j symbol \(\operatorname{Wigner3j}(j_1,j_2,j_3,m_1,m_2,m_3)\).
    
 
    
 
    Parameters:
    
@@ -1292,7 +1292,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.wigner_6j(j_1, j_2, j_3, j_4, j_5, j_6, prec=None)[source]
    
+sympy.physics.wigner.wigner_6j(j_1, j_2, j_3, j_4, j_5, j_6, prec=None)[source]
 
    Calculate the Wigner 6j symbol \(\operatorname{Wigner6j}(j_1,j_2,j_3,j_4,j_5,j_6)\).
    
 
    
 
    Parameters:
    
@@ -1396,7 +1396,7 @@ 
    Authors
    prec=None,
    
 
    
 
-)[source]
+)[source]
 
    Calculate the Wigner 9j symbol
 \(\operatorname{Wigner9j}(j_1,j_2,j_3,j_4,j_5,j_6,j_7,j_8,j_9)\).
    
 
    
@@ -1448,7 +1448,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.wigner_d(J, alpha, beta, gamma)[source]
    
+sympy.physics.wigner.wigner_d(J, alpha, beta, gamma)[source]
 
    Return the Wigner D matrix for angular momentum J.
    
 
    
 
    Returns:
    
@@ -1498,7 +1498,7 @@ 
    Authors
    
 
    
-sympy.physics.wigner.wigner_d_small(J, beta)[source]
    
+sympy.physics.wigner.wigner_d_small(J, beta)[source]
 
    Return the small Wigner d matrix for angular momentum J.
    
 
    
 
    Returns:
    
diff --git a/dev/modules/plotting.html b/dev/modules/plotting.html
index 7fd0c69a7e2..2ed920055ba 100644
--- a/dev/modules/plotting.html
+++ b/dev/modules/plotting.html
@@ -850,7 +850,7 @@ 
    Plot Class**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Base class for all backends. A backend represents the plotting library,
 which implements the necessary functionalities in order to use SymPy
 plotting functions.
    
@@ -1007,7 +1007,7 @@ 
    Plot Class
 
    
-append(arg)[source]
    
+append(arg)[source]
 
    Adds an element from a plot’s series to an existing plot.
    
 
    Examples
    
 
    Consider two Plot objects, p1 and p2. To add the
@@ -1038,7 +1038,7 @@ 
    Plot Class
 
    
-extend(arg)[source]
    
+extend(arg)[source]
 
    Adds all series from another plot.
    
 
    Examples
    
 
    Consider two Plot objects, p1 and p2. To add the
@@ -1094,7 +1094,7 @@ 
    Plot Class
    
 
    
 
    
-sympy.plotting.plot.plot(*args, show=True, **kwargs)[source]
    
+sympy.plotting.plot.plot(*args, show=True, **kwargs)[source]
 
    Plots a function of a single variable as a curve.
    
 
    
 
    Parameters:
    
@@ -1303,7 +1303,7 @@ 
    Plotting Function Reference
 
    
-sympy.plotting.plot.plot_parametric(*args, show=True, **kwargs)[source]
    
+sympy.plotting.plot.plot_parametric(*args, show=True, **kwargs)[source]
 
    Plots a 2D parametric curve.
    
 
    
 
    Parameters:
    
@@ -1488,7 +1488,7 @@ 
    Plotting Function Reference
 
    
-sympy.plotting.plot.plot3d(*args, show=True, **kwargs)[source]
    
+sympy.plotting.plot.plot3d(*args, show=True, **kwargs)[source]
 
    Plots a 3D surface plot.
    
 
    Usage
    
 
    Single plot
    
@@ -1587,7 +1587,7 @@ 
    Plotting Function Reference
 
    
-sympy.plotting.plot.plot3d_parametric_line(*args, show=True, **kwargs)[source]
    
+sympy.plotting.plot.plot3d_parametric_line(*args, show=True, **kwargs)[source]
 
    Plots a 3D parametric line plot.
    
 
    Usage
    
 
    Single plot:
    
@@ -1681,7 +1681,7 @@ 
    Plotting Function Reference**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Plots a 3D parametric surface plot.
    
 
    Explanation
    
 
    Single plot.
    
@@ -1771,7 +1771,7 @@ 
    Plotting Function Reference**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    A plot function to plot implicit equations / inequalities.
    
 
    Arguments
    
 
      
@@ -1930,7 +1930,7 @@ 
      PlotGrid Class**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    This class helps to plot subplots from already created SymPy plots
 in a single figure.
    
 
    Examples
    
@@ -2026,7 +2026,7 @@ 
    PlotGrid Class
    
 
    
 
    
-class sympy.plotting.series.BaseSeries(*args, **kwargs)[source]
    
+class sympy.plotting.series.BaseSeries(*args, **kwargs)[source]
 
    Base class for the data objects containing stuff to be plotted.
    
 
    Notes
    
 
    The backend should check if it supports the data series that is given.
@@ -2041,7 +2041,7 @@ 
    Series Classes
 
    
-eval_color_func(*args)[source]
    
+eval_color_func(*args)[source]
 
    Evaluate the color function.
    
 
    
 
    Parameters:
    
@@ -2067,7 +2067,7 @@ 
    Series Classes
 
    
-get_data()[source]
    
+get_data()[source]
 
    Compute and returns the numerical data.
    
 
    The number of parameters returned by this method depends on the
 specific instance. If s is the series, make sure to read
@@ -2083,7 +2083,7 @@ 
    Series Classeswrapper='$%s$',
    
 
    
 
-)[source]
+)[source]
 
    Return the label to be used to display the expression.
    
 
    
 
    Parameters:
    
@@ -2131,7 +2131,7 @@ 
    Series Classes
 
    
-class sympy.plotting.series.Line2DBaseSeries(**kwargs)[source]
    
+class sympy.plotting.series.Line2DBaseSeries(**kwargs)[source]
 
    A base class for 2D lines.
    
 
      
 
    • adding the label, steps and only_integers options
      • 
@@ -2140,7 +2140,7 @@ 
      Series Classes
 
      
-get_data()[source]
      
+get_data()[source]
 
      Return coordinates for plotting the line.
      
 
      
 
      Returns:
      
@@ -2180,11 +2180,11 @@ 
      Series Classes**kwargs,
      
 
    
 
-)[source]
+)[source]
 
    Representation for a line consisting of a SymPy expression over a range.
    
 
    
 
    
-get_points()[source]
    
+get_points()[source]
 
    Return lists of coordinates for plotting. Depending on the
 adaptive option, this function will either use an adaptive algorithm
 or it will uniformly sample the expression over the provided range.
    
@@ -2220,14 +2220,14 @@ 
    Series Classes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Representation for a line consisting of two parametric SymPy expressions
 over a range.
    
 
    
 
 
    
 
    
-class sympy.plotting.series.Line3DBaseSeries[source]
    
+class sympy.plotting.series.Line3DBaseSeries[source]
 
    A base class for 3D lines.
    
 
    Most of the stuff is derived from Line2DBaseSeries.
    
 
    
@@ -2245,14 +2245,14 @@ 
    Series Classes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Representation for a 3D line consisting of three parametric SymPy
 expressions and a range.
    
 
    
 
 
    
 
    
-class sympy.plotting.series.SurfaceBaseSeries(*args, **kwargs)[source]
    
+class sympy.plotting.series.SurfaceBaseSeries(*args, **kwargs)[source]
 
    A base class for 3D surfaces.
    
 
    
 
@@ -2268,12 +2268,12 @@ 
    Series Classes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Representation for a 3D surface consisting of a SymPy expression and 2D
 range.
    
 
    
 
    
-get_data()[source]
    
+get_data()[source]
 
    Return arrays of coordinates for plotting.
    
 
    
 
    Returns:
    
@@ -2295,7 +2295,7 @@ 
    Series Classes
 
    
-get_meshes()[source]
    
+get_meshes()[source]
 
    Return the x,y,z coordinates for plotting the surface.
 This function is available for back-compatibility purposes. Consider
 using get_data() instead.
    
@@ -2317,12 +2317,12 @@ 
    Series Classes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Representation for a 3D surface consisting of three parametric SymPy
 expressions and a range.
    
 
    
 
    
-get_data()[source]
    
+get_data()[source]
 
    Return arrays of coordinates for plotting.
    
 
    
 
    Returns:
    
@@ -2352,7 +2352,7 @@ 
    Series Classes
 
    
-get_meshes()[source]
    
+get_meshes()[source]
 
    Return the x,y,z coordinates for plotting the surface.
 This function is available for back-compatibility purposes. Consider
 using get_data() instead.
    
@@ -2372,11 +2372,11 @@ 
    Series Classes**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Representation for 2D Implicit plot.
    
 
    
 
    
-get_data()[source]
    
+get_data()[source]
 
    Returns numerical data.
    
 
    
 
    Returns:
    
@@ -2413,7 +2413,7 @@ 
    Series Classeswrapper='$%s$',
    
 
    
 
-)[source]
+)[source]
 
    Return the label to be used to display the expression.
    
 
    
 
    Parameters:
    
@@ -2441,12 +2441,12 @@ 
    Series Classes
    
 
    
 
    
-class sympy.plotting.plot.MatplotlibBackend(*series, **kwargs)[source]
    
+class sympy.plotting.plot.MatplotlibBackend(*series, **kwargs)[source]
 
    This class implements the functionalities to use Matplotlib with SymPy
 plotting functions.
    
 
    
 
    
-static get_segments(x, y, z=None)[source]
    
+static get_segments(x, y, z=None)[source]
 
    Convert two list of coordinates to a list of segments to be used
 with Matplotlib’s LineCollection.
    
 
    
@@ -2469,7 +2469,7 @@ 
    Backends
 
 
    
 
    
-process_series()[source]
    
+process_series()[source]
 
    Iterates over every Plot object and further calls
 _process_series()
    
 
    
@@ -2478,7 +2478,7 @@ 
    Backends
 
 
    
 
    
-class sympy.plotting.plot.TextBackend(*args, **kwargs)[source]
    
+class sympy.plotting.plot.TextBackend(*args, **kwargs)[source]
 
    
 
 
@@ -2712,7 +2712,7 @@ 
    Using Custom Color Functions
    
 
    
 
    
-sympy.plotting.textplot.textplot(expr, a, b, W=55, H=21)[source]
    
+sympy.plotting.textplot.textplot(expr, a, b, W=55, H=21)[source]
 
    Print a crude ASCII art plot of the SymPy expression ‘expr’ (which
 should contain a single symbol, e.g. x or something else) over the
 interval [a, b].
    
diff --git a/dev/modules/polys/agca.html b/dev/modules/polys/agca.html
index bd14325c922..346375f5544 100644
--- a/dev/modules/polys/agca.html
+++ b/dev/modules/polys/agca.html
@@ -900,11 +900,11 @@ 
    Base Rings
 
    
-class sympy.polys.domains.ring.Ring[source]
    
+class sympy.polys.domains.ring.Ring[source]
 
    Represents a ring domain.
    
 
    
 
    
-free_module(rank)[source]
    
+free_module(rank)[source]
 
    Generate a free module of rank rank over self.
    
 
    >>> from sympy.abc import x
 >>> from sympy import QQ
@@ -916,7 +916,7 @@ 
    Base Rings
 
    
-ideal(*gens)[source]
    
+ideal(*gens)[source]
 
    Generate an ideal of self.
    
 
    >>> from sympy.abc import x
 >>> from sympy import QQ
@@ -928,7 +928,7 @@ 
    Base Rings
 
    
-quotient_ring(e)[source]
    
+quotient_ring(e)[source]
 
    Form a quotient ring of self.
    
 
    Here e can be an ideal or an iterable.
    
 
    >>> from sympy.abc import x
@@ -958,13 +958,13 @@ 
    Base Ringsorder=None,
    
 
    
 
-)[source]
+)[source]
 
    A class for representing multivariate polynomial rings.
    
 
    
 
 
    
 
    
-class sympy.polys.domains.quotientring.QuotientRing(ring, ideal)[source]
    
+class sympy.polys.domains.quotientring.QuotientRing(ring, ideal)[source]
 
    Class representing (commutative) quotient rings.
    
 
    You should not usually instantiate this by hand, instead use the constructor
 from the base ring in the construction.
    
@@ -1044,7 +1044,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.Module(ring)[source]
    
+class sympy.polys.agca.modules.Module(ring)[source]
 
    Abstract base class for modules.
    
 
    Do not instantiate - use ring explicit constructors instead:
    
 
    >>> from sympy import QQ
@@ -1069,56 +1069,56 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-contains(elem)[source]
    
+contains(elem)[source]
 
    Return True if elem is an element of this module.
    
 
    
 
 
    
 
    
-convert(elem, M=None)[source]
    
+convert(elem, M=None)[source]
 
    Convert elem into internal representation of this module.
    
 
    If M is not None, it should be a module containing it.
    
 
    
 
 
    
 
    
-identity_hom()[source]
    
+identity_hom()[source]
 
    Return the identity homomorphism on self.
    
 
    
 
 
    
 
    
-is_submodule(other)[source]
    
+is_submodule(other)[source]
 
    Returns True if other is a submodule of self.
    
 
    
 
 
    
 
    
-is_zero()[source]
    
+is_zero()[source]
 
    Returns True if self is a zero module.
    
 
    
 
 
    
 
    
-multiply_ideal(other)[source]
    
+multiply_ideal(other)[source]
 
    Multiply self by the ideal other.
    
 
    
 
 
    
 
    
-quotient_module(other)[source]
    
+quotient_module(other)[source]
 
    Generate a quotient module.
    
 
    
 
 
    
 
    
-submodule(*gens)[source]
    
+submodule(*gens)[source]
 
    Generate a submodule.
    
 
    
 
 
    
 
    
-subset(other)[source]
    
+subset(other)[source]
 
    Returns True if other is is a subset of self.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1136,7 +1136,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.FreeModule(ring, rank)[source]
    
+class sympy.polys.agca.modules.FreeModule(ring, rank)[source]
 
    Abstract base class for free modules.
    
 
    Additional attributes:
    
 
      
@@ -1148,7 +1148,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-basis()[source]
      
+basis()[source]
 
      Return a set of basis elements.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1161,7 +1161,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-convert(elem, M=None)[source]
      
+convert(elem, M=None)[source]
 
      Convert elem into the internal representation.
      
 
      This method is called implicitly whenever computations involve elements
 not in the internal representation.
      
@@ -1177,13 +1177,13 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-dtype[source]
      
+dtype[source]
 
      alias of FreeModuleElement
      
 
    
 
 
    
 
    
-identity_hom()[source]
    
+identity_hom()[source]
 
    Return the identity homomorphism on self.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1198,7 +1198,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_submodule(other)[source]
    
+is_submodule(other)[source]
 
    Returns True if other is a submodule of self.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1217,7 +1217,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_zero()[source]
    
+is_zero()[source]
 
    Returns True if self is a zero module.
    
 
    (If, as this implementation assumes, the coefficient ring is not the
 zero ring, then this is equivalent to the rank being zero.)
    
@@ -1234,7 +1234,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-multiply_ideal(other)[source]
    
+multiply_ideal(other)[source]
 
    Multiply self by the ideal other.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1249,7 +1249,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-quotient_module(submodule)[source]
    
+quotient_module(submodule)[source]
 
    Return a quotient module.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1270,13 +1270,13 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.FreeModuleElement(module, data)[source]
    
+class sympy.polys.agca.modules.FreeModuleElement(module, data)[source]
 
    Element of a free module. Data stored as a tuple.
    
 
    
 
 
    
 
    
-class sympy.polys.agca.modules.SubModule(gens, container)[source]
    
+class sympy.polys.agca.modules.SubModule(gens, container)[source]
 
    Base class for submodules.
    
 
    Attributes:
    
 
      
@@ -1298,7 +1298,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-convert(elem, M=None)[source]
      
+convert(elem, M=None)[source]
 
      Convert elem into the internal represantition.
      
 
      Mostly called implicitly.
      
 
      Examples
      
@@ -1313,7 +1313,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-identity_hom()[source]
      
+identity_hom()[source]
 
      Return the identity homomorphism on self.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1328,7 +1328,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-in_terms_of_generators(e)[source]
      
+in_terms_of_generators(e)[source]
 
      Express element e of self in terms of the generators.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1343,7 +1343,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-inclusion_hom()[source]
      
+inclusion_hom()[source]
 
      Return a homomorphism representing the inclusion map of self.
      
 
      That is, the natural map from self to self.container.
      
 
      Examples
      
@@ -1359,7 +1359,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-intersect(other, **options)[source]
      
+intersect(other, **options)[source]
 
      Returns the intersection of self with submodule other.
      
 
      Examples
      
 
      >>> from sympy.abc import x, y
@@ -1387,7 +1387,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-is_full_module()[source]
      
+is_full_module()[source]
 
      Return True if self is the entire free module.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1403,7 +1403,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-is_submodule(other)[source]
      
+is_submodule(other)[source]
 
      Returns True if other is a submodule of self.
      
 
      >>> from sympy.abc import x
 >>> from sympy import QQ
@@ -1422,7 +1422,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-is_zero()[source]
      
+is_zero()[source]
 
      Return True if self is a zero module.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1438,7 +1438,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-module_quotient(other, **options)[source]
      
+module_quotient(other, **options)[source]
 
      Returns the module quotient of self by submodule other.
      
 
      That is, if self is the module \(M\) and other is \(N\), then
 return the ideal \(\{f \in R | fN \subset M\}\).
      
@@ -1470,7 +1470,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-multiply_ideal(I)[source]
      
+multiply_ideal(I)[source]
 
      Multiply self by the ideal I.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1485,7 +1485,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-quotient_module(other, **opts)[source]
      
+quotient_module(other, **opts)[source]
 
      Return a quotient module.
      
 
      This is the same as taking a submodule of a quotient of the containing
 module.
      
@@ -1508,7 +1508,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-reduce_element(x)[source]
      
+reduce_element(x)[source]
 
      Reduce the element x of our ring modulo the ideal self.
      
 
      Here “reduce” has no specific meaning, it could return a unique normal
 form, simplify the expression a bit, or just do nothing.
      
@@ -1516,7 +1516,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-submodule(*gens)[source]
      
+submodule(*gens)[source]
 
      Generate a submodule.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1530,7 +1530,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-syzygy_module(**opts)[source]
      
+syzygy_module(**opts)[source]
 
      Compute the syzygy module of the generators of self.
      
 
      Suppose \(M\) is generated by \(f_1, \ldots, f_n\) over the ring
 \(R\). Consider the homomorphism \(\phi: R^n \to M\), given by
@@ -1556,7 +1556,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-union(other)[source]
      
+union(other)[source]
 
      Returns the module generated by the union of self and other.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1590,7 +1590,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-class sympy.polys.agca.ideals.Ideal(ring)[source]
      
+class sympy.polys.agca.ideals.Ideal(ring)[source]
 
      Abstract base class for ideals.
      
 
      Do not instantiate - use explicit constructors in the ring class instead:
      
 
      >>> from sympy import QQ
@@ -1624,7 +1624,7 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-contains(elem)[source]
      
+contains(elem)[source]
 
      Return True if elem is an element of this ideal.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -1639,19 +1639,19 @@ 
      Modules, Ideals and their Elementary Properties
 
      
-depth()[source]
      
+depth()[source]
 
      Compute the depth of self.
      
 
    
 
 
    
 
    
-height()[source]
    
+height()[source]
 
    Compute the height of self.
    
 
    
 
 
    
 
    
-intersect(J)[source]
    
+intersect(J)[source]
 
    Compute the intersection of self with ideal J.
    
 
    Examples
    
 
    >>> from sympy.abc import x, y
@@ -1665,49 +1665,49 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_maximal()[source]
    
+is_maximal()[source]
 
    Return True if self is a maximal ideal.
    
 
    
 
 
    
 
    
-is_primary()[source]
    
+is_primary()[source]
 
    Return True if self is a primary ideal.
    
 
    
 
 
    
 
    
-is_prime()[source]
    
+is_prime()[source]
 
    Return True if self is a prime ideal.
    
 
    
 
 
    
 
    
-is_principal()[source]
    
+is_principal()[source]
 
    Return True if self is a principal ideal.
    
 
    
 
 
    
 
    
-is_radical()[source]
    
+is_radical()[source]
 
    Return True if self is a radical ideal.
    
 
    
 
 
    
 
    
-is_whole_ring()[source]
    
+is_whole_ring()[source]
 
    Return True if self is the whole ring.
    
 
    
 
 
    
 
    
-is_zero()[source]
    
+is_zero()[source]
 
    Return True if self is the zero ideal.
    
 
    
 
 
    
 
    
-product(J)[source]
    
+product(J)[source]
 
    Compute the ideal product of self and J.
    
 
    That is, compute the ideal generated by products \(xy\), for \(x\) an element
 of self and \(y \in J\).
    
@@ -1722,7 +1722,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-quotient(J, **opts)[source]
    
+quotient(J, **opts)[source]
 
    Compute the ideal quotient of self by J.
    
 
    That is, if self is the ideal \(I\), compute the set
 \(I : J = \{x \in R | xJ \subset I \}\).
    
@@ -1738,13 +1738,13 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-radical()[source]
    
+radical()[source]
 
    Compute the radical of self.
    
 
    
 
 
    
 
    
-reduce_element(x)[source]
    
+reduce_element(x)[source]
 
    Reduce the element x of our ring modulo the ideal self.
    
 
    Here “reduce” has no specific meaning: it could return a unique normal
 form, simplify the expression a bit, or just do nothing.
    
@@ -1752,7 +1752,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-saturate(J)[source]
    
+saturate(J)[source]
 
    Compute the ideal saturation of self by J.
    
 
    That is, if self is the ideal \(I\), compute the set
 \(I : J^\infty = \{x \in R | xJ^n \subset I \text{ for some } n\}\).
    
@@ -1760,7 +1760,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-subset(other)[source]
    
+subset(other)[source]
 
    Returns True if other is is a subset of self.
    
 
    Here other may be an ideal.
    
 
    Examples
    
@@ -1779,7 +1779,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-union(J)[source]
    
+union(J)[source]
 
    Compute the ideal generated by the union of self and J.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1801,7 +1801,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.QuotientModule(ring, base, submodule)[source]
    
+class sympy.polys.agca.modules.QuotientModule(ring, base, submodule)[source]
 
    Class for quotient modules.
    
 
    Do not instantiate this directly. For subquotients, see the
 SubQuotientModule class.
    
@@ -1813,7 +1813,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-convert(elem, M=None)[source]
    
+convert(elem, M=None)[source]
 
    Convert elem into the internal representation.
    
 
    This method is called implicitly whenever computations involve elements
 not in the internal representation.
    
@@ -1829,13 +1829,13 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-dtype[source]
    
+dtype[source]
 
    alias of QuotientModuleElement
    
 
    
 
 
    
 
    
-identity_hom()[source]
    
+identity_hom()[source]
 
    Return the identity homomorphism on self.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1851,7 +1851,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_submodule(other)[source]
    
+is_submodule(other)[source]
 
    Return True if other is a submodule of self.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1868,7 +1868,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_zero()[source]
    
+is_zero()[source]
 
    Return True if self is a zero module.
    
 
    This happens if and only if the base module is the same as the
 submodule being killed.
    
@@ -1886,7 +1886,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-quotient_hom()[source]
    
+quotient_hom()[source]
 
    Return the quotient homomorphism to self.
    
 
    That is, return a homomorphism representing the natural map from
 self.base to self.
    
@@ -1904,7 +1904,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-submodule(*gens, **opts)[source]
    
+submodule(*gens, **opts)[source]
 
    Generate a submodule.
    
 
    This is the same as taking a quotient of a submodule of the base
 module.
    
@@ -1922,11 +1922,11 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.QuotientModuleElement(module, data)[source]
    
+class sympy.polys.agca.modules.QuotientModuleElement(module, data)[source]
 
    Element of a quotient module.
    
 
    
 
    
-eq(d1, d2)[source]
    
+eq(d1, d2)[source]
 
    Equality comparison.
    
 
    
 
@@ -1934,7 +1934,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-class sympy.polys.agca.modules.SubQuotientModule(gens, container, **opts)[source]
    
+class sympy.polys.agca.modules.SubQuotientModule(gens, container, **opts)[source]
 
    Submodule of a quotient module.
    
 
    Equivalently, quotient module of a submodule.
    
 
    Do not instantiate this, instead use the submodule or quotient_module
@@ -1955,7 +1955,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-is_full_module()[source]
    
+is_full_module()[source]
 
    Return True if self is the entire free module.
    
 
    Examples
    
 
    >>> from sympy.abc import x
@@ -1971,7 +1971,7 @@ 
    Modules, Ideals and their Elementary Properties
 
    
-quotient_hom()[source]
    
+quotient_hom()[source]
 
    Return the quotient homomorphism to self.
    
 
    That is, return the natural map from self.base to self.
    
 
    Examples
    
@@ -2050,7 +2050,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-sympy.polys.agca.homomorphisms.homomorphism(domain, codomain, matrix)[source]
    
+sympy.polys.agca.homomorphisms.homomorphism(domain, codomain, matrix)[source]
 
    Create a homomorphism object.
    
 
    This function tries to build a homomorphism from domain to codomain
 via the matrix matrix.
    
@@ -2111,7 +2111,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-class sympy.polys.agca.homomorphisms.ModuleHomomorphism(domain, codomain)[source]
    
+class sympy.polys.agca.homomorphisms.ModuleHomomorphism(domain, codomain)[source]
 
    Abstract base class for module homomoprhisms. Do not instantiate.
    
 
    Instead, use the homomorphism function:
    
 
    >>> from sympy import QQ
@@ -2149,7 +2149,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-image()[source]
    
+image()[source]
 
    Compute the image of self.
    
 
    That is, if self is the homomorphism \(\phi: M \to N\), then compute
 \(im(\phi) = \{\phi(x) | x \in M \}\).  This is a submodule of \(N\).
    
@@ -2168,7 +2168,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-is_injective()[source]
    
+is_injective()[source]
 
    Return True if self is injective.
    
 
    That is, check if the elements of the domain are mapped to the same
 codomain element.
    
@@ -2190,7 +2190,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-is_isomorphism()[source]
    
+is_isomorphism()[source]
 
    Return True if self is an isomorphism.
    
 
    That is, check if every element of the codomain has precisely one
 preimage. Equivalently, self is both injective and surjective.
    
@@ -2213,7 +2213,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-is_surjective()[source]
    
+is_surjective()[source]
 
    Return True if self is surjective.
    
 
    That is, check if every element of the codomain has at least one
 preimage.
    
@@ -2235,7 +2235,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-is_zero()[source]
    
+is_zero()[source]
 
    Return True if self is a zero morphism.
    
 
    That is, check if every element of the domain is mapped to zero
 under self.
    
@@ -2259,7 +2259,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-kernel()[source]
    
+kernel()[source]
 
    Compute the kernel of self.
    
 
    That is, if self is the homomorphism \(\phi: M \to N\), then compute
 \(ker(\phi) = \{x \in M | \phi(x) = 0\}\).  This is a submodule of \(M\).
    
@@ -2278,7 +2278,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-quotient_codomain(sm)[source]
    
+quotient_codomain(sm)[source]
 
    Return self with codomain replaced by codomain/sm.
    
 
    Here sm must be a submodule of self.codomain.
    
 
    Examples
    
@@ -2310,7 +2310,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-quotient_domain(sm)[source]
    
+quotient_domain(sm)[source]
 
    Return self with domain replaced by domain/sm.
    
 
    Here sm must be a submodule of self.kernel().
    
 
    Examples
    
@@ -2335,7 +2335,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-restrict_codomain(sm)[source]
    
+restrict_codomain(sm)[source]
 
    Return self, with codomain restricted to to sm.
    
 
    Here sm has to be a submodule of self.codomain containing the
 image.
    
@@ -2361,7 +2361,7 @@ 
    Module Homomorphisms and Syzygies
 
    
-restrict_domain(sm)[source]
    
+restrict_domain(sm)[source]
 
    Return self, with the domain restricted to sm.
    
 
    Here sm has to be a submodule of self.domain.
    
 
    Examples
    
@@ -2414,7 +2414,7 @@ 
    Finite Extensions\(t\).
    
 
    
 
    
-class sympy.polys.agca.extensions.MonogenicFiniteExtension(mod)[source]
    
+class sympy.polys.agca.extensions.MonogenicFiniteExtension(mod)[source]
 
    Finite extension generated by an integral element.
    
 
    The generator is defined by a monic univariate
 polynomial derived from the argument mod.
    
@@ -2450,7 +2450,7 @@ 
    Finite Extensions
 
    
-dtype[source]
    
+dtype[source]
 
    alias of ExtensionElement
    
 
    
 
@@ -2458,7 +2458,7 @@ 
    Finite Extensions
 
    
-class sympy.polys.agca.extensions.ExtensionElement(rep, ext)[source]
    
+class sympy.polys.agca.extensions.ExtensionElement(rep, ext)[source]
 
    Element of a finite extension.
    
 
    A class of univariate polynomials modulo the modulus
 of the extension ext. It is represented by the
@@ -2467,7 +2467,7 @@ 
    Finite Extensions
 
    
-inverse()[source]
    
+inverse()[source]
 
    Multiplicative inverse.
    
 
    
 
    Raises:
    
diff --git a/dev/modules/polys/domainmatrix.html b/dev/modules/polys/domainmatrix.html
index b8575b60bc6..9b722479a0a 100644
--- a/dev/modules/polys/domainmatrix.html
+++ b/dev/modules/polys/domainmatrix.html
@@ -833,7 +833,7 @@ 
    What is domainmatrix?
 
    
 
    
-sympy.polys.matrices.domainmatrix.DM(rows, domain)[source]
    
+sympy.polys.matrices.domainmatrix.DM(rows, domain)[source]
 
    Convenient alias for DomainMatrix.from_list
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -850,7 +850,7 @@ 
    What is domainmatrix?
 
    
-class sympy.polys.matrices.domainmatrix.DomainMatrix(rows, shape, domain, *, fmt=None)[source]
    
+class sympy.polys.matrices.domainmatrix.DomainMatrix(rows, shape, domain, *, fmt=None)[source]
 
    Associate Matrix with Domain
    
 
    Explanation
    
 
    DomainMatrix uses Domain for its internal representation
@@ -887,7 +887,7 @@ 
    What is domainmatrix?
 
    
 
    
-add(B)[source]
    
+add(B)[source]
 
    Adds two DomainMatrix matrices of the same Domain
    
 
    
 
    Parameters:
    
@@ -936,7 +936,7 @@ 
    What is domainmatrix?
 
    
-adj_det()[source]
    
+adj_det()[source]
 
    Adjugate and determinant of a square DomainMatrix.
    
 
    
 
    Returns:
    
@@ -974,7 +974,7 @@ 
    What is domainmatrix?
 
    
-adj_poly_det(cp=None)[source]
    
+adj_poly_det(cp=None)[source]
 
    Return the polynomial \(p\) such that \(p(A) = adj(A)\) and also the
 determinant of \(A\).
    
 
    Examples
    
@@ -1003,7 +1003,7 @@ 
    What is domainmatrix?
 
    
-adjugate()[source]
    
+adjugate()[source]
 
    Adjugate of a square DomainMatrix.
    
 
    The adjugate matrix is the transpose of the cofactor matrix and is
 related to the inverse by:
    
@@ -1036,7 +1036,7 @@ 
    What is domainmatrix?
 
    
-cancel_denom(denom)[source]
    
+cancel_denom(denom)[source]
 
    Cancel factors between a matrix and a denominator.
    
 
    Returns a matrix and denominator on lowest terms.
    
 
    Requires gcd in the ground domain.
    
@@ -1104,7 +1104,7 @@ 
    What is domainmatrix?
 
    
-cancel_denom_elementwise(denom)[source]
    
+cancel_denom_elementwise(denom)[source]
 
    Cancel factors between the elements of a matrix and a denominator.
    
 
    Returns a matrix of numerators and matrix of denominators.
    
 
    Requires gcd in the ground domain.
    
@@ -1143,7 +1143,7 @@ 
    What is domainmatrix?
 
    
-charpoly()[source]
    
+charpoly()[source]
 
    Characteristic polynomial of a square matrix.
    
 
    Computes the characteristic polynomial in a fully expanded form using
 division free arithmetic. If a factorization of the characteristic
@@ -1183,7 +1183,7 @@ 
    What is domainmatrix?
 
    
-charpoly_base()[source]
    
+charpoly_base()[source]
 
    Base case for charpoly_factor_blocks() after block decomposition.
    
 
    This method is used internally by charpoly_factor_blocks() as the
 base case for computing the characteristic polynomial of a block. It is
@@ -1201,7 +1201,7 @@ 
    What is domainmatrix?
 
    
-charpoly_berk()[source]
    
+charpoly_berk()[source]
 
    Compute the characteristic polynomial using the Berkowitz algorithm.
    
 
    This method directly calls the underlying implementation of the
 Berkowitz algorithm (sympy.polys.matrices.dense.ddm_berk() or
@@ -1232,7 +1232,7 @@ 
    What is domainmatrix?
 
    
-charpoly_factor_blocks()[source]
    
+charpoly_factor_blocks()[source]
 
    Partial factorisation of the characteristic polynomial.
    
 
    This factorisation arises from a block structure of the matrix (if any)
 and so the factors are not guaranteed to be irreducible. The
@@ -1293,7 +1293,7 @@ 
    What is domainmatrix?
 
    
-charpoly_factor_list()[source]
    
+charpoly_factor_list()[source]
 
    Full factorization of the characteristic polynomial.
    
 
    
 
    Returns:
    
@@ -1342,7 +1342,7 @@ 
    What is domainmatrix?
 
    
-choose_domain(**opts)[source]
    
+choose_domain(**opts)[source]
 
    Convert to a domain found by construct_domain().
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -1369,7 +1369,7 @@ 
    What is domainmatrix?
 
    
-clear_denoms(convert=False)[source]
    
+clear_denoms(convert=False)[source]
 
    Clear denominators, but keep the domain unchanged.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -1409,7 +1409,7 @@ 
    What is domainmatrix?
 
    
-clear_denoms_rowwise(convert=False)[source]
    
+clear_denoms_rowwise(convert=False)[source]
 
    Clear denominators from each row of the matrix.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -1455,7 +1455,7 @@ 
    What is domainmatrix?
 
    
-columnspace()[source]
    
+columnspace()[source]
 
    Returns the columnspace for the DomainMatrix
    
 
    
 
    Returns:
    
@@ -1479,7 +1479,7 @@ 
    What is domainmatrix?
 
    
-content()[source]
    
+content()[source]
 
    Return the gcd of the elements of the matrix.
    
 
    Requires gcd in the ground domain.
    
 
    Examples
    
@@ -1498,7 +1498,7 @@ 
    What is domainmatrix?
 
    
-convert_to(K)[source]
    
+convert_to(K)[source]
 
    Change the domain of DomainMatrix to desired domain or field
    
 
    
 
    Parameters:
    
@@ -1531,7 +1531,7 @@ 
    What is domainmatrix?
 
    
-det()[source]
    
+det()[source]
 
    Returns the determinant of a square DomainMatrix.
    
 
    
 
    Returns:
    
@@ -1563,7 +1563,7 @@ 
    What is domainmatrix?
 
    
-classmethod diag(diagonal, domain, shape=None)[source]
    
+classmethod diag(diagonal, domain, shape=None)[source]
 
    Return diagonal matrix with entries from diagonal.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -1576,7 +1576,7 @@ 
    What is domainmatrix?
 
    
-diagonal()[source]
    
+diagonal()[source]
 
    Get the diagonal entries of the matrix as a list.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -1594,7 +1594,7 @@ 
    What is domainmatrix?
 
    
-eval_poly(p)[source]
    
+eval_poly(p)[source]
 
    Evaluate polynomial function of a matrix \(p(A)\).
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -1616,7 +1616,7 @@ 
    What is domainmatrix?
 
    
-eval_poly_mul(p, B)[source]
    
+eval_poly_mul(p, B)[source]
 
    Evaluate polynomial matrix product \(p(A) \times B\).
    
 
    Evaluate the polynomial matrix product \(p(A) \times B\) using Horner’s
 method without creating the matrix \(p(A)\) explicitly. If \(B\) is a
@@ -1648,7 +1648,7 @@ 
    What is domainmatrix?
 
    
-classmethod eye(shape, domain)[source]
    
+classmethod eye(shape, domain)[source]
 
    Return identity matrix of size n or shape (m, n).
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -1669,7 +1669,7 @@ 
    What is domainmatrix?**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Convert Matrix to DomainMatrix
    
 
    
 
    Parameters:
    
@@ -1713,7 +1713,7 @@ 
    What is domainmatrix?**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    
 
    Parameters:
    
 
    nrows: number of rows
    
@@ -1741,7 +1741,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_dod(dod, shape, domain)[source]
    
+classmethod from_dod(dod, shape, domain)[source]
 
    Create sparse DomainMatrix from dict of dict (dod) format.
    
 
    See to_dod() for explanation.
    
 
    
@@ -1752,7 +1752,7 @@ 
    What is domainmatrix?
 
    
-from_dod_like(dod, domain=None)[source]
    
+from_dod_like(dod, domain=None)[source]
 
    Create DomainMatrix like self from dict of dict (dod) format.
    
 
    See to_dod() for explanation.
    
 
    
@@ -1763,7 +1763,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_dok(dok, shape, domain)[source]
    
+classmethod from_dok(dok, shape, domain)[source]
 
    Create DomainMatrix from dictionary of keys (dok) format.
    
 
    See to_dok() for explanation.
    
 
    
@@ -1774,7 +1774,7 @@ 
    What is domainmatrix?
 
    
-from_flat_nz(elements, data, domain)[source]
    
+from_flat_nz(elements, data, domain)[source]
 
    Reconstruct DomainMatrix after calling to_flat_nz().
    
 
    See to_flat_nz() for explanation.
    
 
    
@@ -1785,7 +1785,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_list(rows, domain)[source]
    
+classmethod from_list(rows, domain)[source]
 
    Convert a list of lists into a DomainMatrix
    
 
    
 
    Parameters:
    
@@ -1830,7 +1830,7 @@ 
    What is domainmatrix?domain,
    
 
    
 
-)[source]
+)[source]
 
    Create DomainMatrix from flat list.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -1860,7 +1860,7 @@ 
    What is domainmatrix?**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Convert a list of lists of Expr into a DomainMatrix using construct_domain
    
 
    
 
    Parameters:
    
@@ -1888,7 +1888,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_rep(rep)[source]
    
+classmethod from_rep(rep)[source]
 
    Create a new DomainMatrix efficiently from DDM/SDM.
    
 
    
 
    Parameters:
    
@@ -1936,7 +1936,7 @@ 
    What is domainmatrix?
 
    
-hstack(*B)[source]
    
+hstack(*B)[source]
 
    Horizontally stack the given matrices.
    
 
    
 
    Parameters:
    
@@ -1976,7 +1976,7 @@ 
    What is domainmatrix?
 
    
-inv()[source]
    
+inv()[source]
 
    Finds the inverse of the DomainMatrix if exists
    
 
    
 
    Returns:
    
@@ -2015,7 +2015,7 @@ 
    What is domainmatrix?
 
    
-inv_den(method=None)[source]
    
+inv_den(method=None)[source]
 
    Return the inverse as a DomainMatrix with denominator.
    
 
    
 
    Parameters:
    
@@ -2109,7 +2109,7 @@ 
    What is domainmatrix?
 
    
-iter_items()[source]
    
+iter_items()[source]
 
    Iterate over indices and values of nonzero elements of the matrix.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -2127,7 +2127,7 @@ 
    What is domainmatrix?
 
    
-iter_values()[source]
    
+iter_values()[source]
 
    Iterate over nonzero elements of the matrix.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -2145,7 +2145,7 @@ 
    What is domainmatrix?
 
    
-lll(delta=MPQ(3, 4))[source]
    
+lll(delta=MPQ(3, 4))[source]
 
    Performs the Lenstra–Lenstra–Lovász (LLL) basis reduction algorithm.
 See [R780] and [R781].
    
 
    
@@ -2210,7 +2210,7 @@ 
    What is domainmatrix?
 
    
-lll_transform(delta=MPQ(3, 4))[source]
    
+lll_transform(delta=MPQ(3, 4))[source]
 
    Performs the Lenstra–Lenstra–Lovász (LLL) basis reduction algorithm
 and returns the reduced basis and transformation matrix.
    
 
    Explanation
    
@@ -2239,7 +2239,7 @@ 
    What is domainmatrix?
 
    
-lu()[source]
    
+lu()[source]
 
    Returns Lower and Upper decomposition of the DomainMatrix
    
 
    
 
    Returns:
    
@@ -2280,7 +2280,7 @@ 
    What is domainmatrix?
 
    
-lu_solve(rhs)[source]
    
+lu_solve(rhs)[source]
 
    Solver for DomainMatrix x in the A*x = B
    
 
    
 
    Parameters:
    
@@ -2326,7 +2326,7 @@ 
    What is domainmatrix?
 
    
-matmul(B)[source]
    
+matmul(B)[source]
 
    Performs matrix multiplication of two DomainMatrix matrices
    
 
    
 
    Parameters:
    
@@ -2365,7 +2365,7 @@ 
    What is domainmatrix?
 
    
-mul(b)[source]
    
+mul(b)[source]
 
    Performs term by term multiplication for the second DomainMatrix
 w.r.t first DomainMatrix. Returns a DomainMatrix whose rows are
 list of DomainMatrix matrices created after term by term multiplication.
    
@@ -2404,7 +2404,7 @@ 
    What is domainmatrix?
 
    
-neg()[source]
    
+neg()[source]
 
    Returns the negative of DomainMatrix
    
 
    
 
    Parameters:
    
@@ -2433,7 +2433,7 @@ 
    What is domainmatrix?
 
    
-nnz()[source]
    
+nnz()[source]
 
    Number of nonzero elements in the matrix.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -2447,7 +2447,7 @@ 
    What is domainmatrix?
 
    
-nullspace(divide_last=False)[source]
    
+nullspace(divide_last=False)[source]
 
    Returns the nullspace for the DomainMatrix
    
 
    
 
    Parameters:
    
@@ -2539,7 +2539,7 @@ 
    What is domainmatrix?
 
    
-nullspace_from_rref(pivots=None)[source]
    
+nullspace_from_rref(pivots=None)[source]
 
    Compute nullspace from rref and pivots.
    
 
    The domain of the matrix can be any domain.
    
 
    The matrix must be in reduced row echelon form already. Otherwise the
@@ -2553,7 +2553,7 @@ 
    What is domainmatrix?
 
    
-classmethod ones(shape, domain)[source]
    
+classmethod ones(shape, domain)[source]
 
    Returns a DomainMatrix of 1s, of size shape, belonging to the specified domain
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -2566,7 +2566,7 @@ 
    What is domainmatrix?
 
    
-pow(n)[source]
    
+pow(n)[source]
 
    Computes A**n
    
 
    
 
    Parameters:
    
@@ -2606,7 +2606,7 @@ 
    What is domainmatrix?
 
    
-primitive()[source]
    
+primitive()[source]
 
    Factor out gcd of the elements of a matrix.
    
 
    Requires gcd in the ground domain.
    
 
    Examples
    
@@ -2632,7 +2632,7 @@ 
    What is domainmatrix?
 
    
-rowspace()[source]
    
+rowspace()[source]
 
    Returns the rowspace for the DomainMatrix
    
 
    
 
    Returns:
    
@@ -2656,7 +2656,7 @@ 
    What is domainmatrix?
 
    
-rref(*, method='auto')[source]
    
+rref(*, method='auto')[source]
 
    Returns reduced-row echelon form (RREF) and list of pivots.
    
 
    If the domain is not a field then it will be converted to a field. See
 rref_den() for the fraction-free version of this routine that
@@ -2751,7 +2751,7 @@ 
    What is domainmatrix?keep_domain=True,
    
 
    
 
-)[source]
+)[source]
 
    Returns reduced-row echelon form with denominator and list of pivots.
    
 
    Requires exact division in the ground domain (exquo).
    
 
    
@@ -2856,7 +2856,7 @@ 
    What is domainmatrix?
 
    
-scc()[source]
    
+scc()[source]
 
    Compute the strongly connected components of a DomainMatrix
    
 
    
 
    Returns:
    
@@ -2924,7 +2924,7 @@ 
    What is domainmatrix?
 
    
-solve_den(b, method=None)[source]
    
+solve_den(b, method=None)[source]
 
    Solve matrix equation \(Ax = b\) without fractions in the ground domain.
    
 
    
 
    Parameters:
    
@@ -3058,7 +3058,7 @@ 
    What is domainmatrix?check=True,
    
 
    
 
-)[source]
+)[source]
 
    Solve matrix equation \(Ax = b\) using the characteristic polynomial.
    
 
    This method solves the square matrix equation \(Ax = b\) for \(x\) using
 the characteristic polynomial without any division or fractions in the
@@ -3129,7 +3129,7 @@ 
    What is domainmatrix?
 
    
-solve_den_rref(b)[source]
    
+solve_den_rref(b)[source]
 
    Solve matrix equation \(Ax = b\) using fraction-free RREF
    
 
    Solves the matrix equation \(Ax = b\) for \(x\) and returns the solution
 as a numerator/denominator pair.
    
@@ -3155,7 +3155,7 @@ 
    What is domainmatrix?
 
    
-sub(B)[source]
    
+sub(B)[source]
 
    Subtracts two DomainMatrix matrices of the same Domain
    
 
    
 
    Parameters:
    
@@ -3204,7 +3204,7 @@ 
    What is domainmatrix?
 
    
-to_Matrix()[source]
    
+to_Matrix()[source]
 
    Convert DomainMatrix to Matrix
    
 
    
 
    Returns:
    
@@ -3236,7 +3236,7 @@ 
    What is domainmatrix?
 
    
-to_ddm()[source]
    
+to_ddm()[source]
 
    Return a DDM representation of self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3257,7 +3257,7 @@ 
    What is domainmatrix?
 
    
-to_dense()[source]
    
+to_dense()[source]
 
    Return a dense DomainMatrix representation of self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3274,7 +3274,7 @@ 
    What is domainmatrix?
 
    
-to_dfm()[source]
    
+to_dfm()[source]
 
    Return a DFM representation of self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3295,7 +3295,7 @@ 
    What is domainmatrix?
 
    
-to_dfm_or_ddm()[source]
    
+to_dfm_or_ddm()[source]
 
    Return a DFM or DDM representation of self.
    
 
    Explanation
    
 
    The DFM representation can only be used if the ground types
@@ -3332,7 +3332,7 @@ 
    What is domainmatrix?
 
    
-to_dod()[source]
    
+to_dod()[source]
 
    Convert DomainMatrix to dictionary of dictionaries (dod) format.
    
 
    Explanation
    
 
    Returns a dictionary of dictionaries representing the matrix.
    
@@ -3356,7 +3356,7 @@ 
    What is domainmatrix?
 
    
-to_dok()[source]
    
+to_dok()[source]
 
    Convert DomainMatrix to dictionary of keys (dok) format.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -3382,7 +3382,7 @@ 
    What is domainmatrix?
 
    
-to_field()[source]
    
+to_field()[source]
 
    Returns a DomainMatrix with the appropriate field
    
 
    
 
    Returns:
    
@@ -3408,7 +3408,7 @@ 
    What is domainmatrix?
 
    
-to_flat_nz()[source]
    
+to_flat_nz()[source]
 
    Convert DomainMatrix to list of nonzero elements and data.
    
 
    Explanation
    
 
    Returns a tuple (elements, data) where elements is a list of
@@ -3451,7 +3451,7 @@ 
    What is domainmatrix?
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert DomainMatrix to list of lists.
    
 
    
 
    See also
    
@@ -3461,7 +3461,7 @@ 
    What is domainmatrix?
 
    
-to_list_flat()[source]
    
+to_list_flat()[source]
 
    Convert DomainMatrix to flat list.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -3479,7 +3479,7 @@ 
    What is domainmatrix?
 
    
-to_sdm()[source]
    
+to_sdm()[source]
 
    Return a SDM representation of self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3500,7 +3500,7 @@ 
    What is domainmatrix?
 
    
-to_sparse()[source]
    
+to_sparse()[source]
 
    Return a sparse DomainMatrix representation of self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3517,13 +3517,13 @@ 
    What is domainmatrix?
 
    
-transpose()[source]
    
+transpose()[source]
 
    Matrix transpose of self
    
 
    
 
 
    
 
    
-unify(*others, fmt=None)[source]
    
+unify(*others, fmt=None)[source]
 
    Unifies the domains and the format of self and other
 matrices.
    
 
    
@@ -3576,7 +3576,7 @@ 
    What is domainmatrix?
 
    
-vstack(*B)[source]
    
+vstack(*B)[source]
 
    Vertically stack the given matrices.
    
 
    
 
    Parameters:
    
@@ -3616,7 +3616,7 @@ 
    What is domainmatrix?
 
    
-classmethod zeros(shape, domain, *, fmt='sparse')[source]
    
+classmethod zeros(shape, domain, *, fmt='sparse')[source]
 
    Returns a zero DomainMatrix of size shape, belonging to the specified domain
    
 
    Examples
    
 
    >>> from sympy.polys.matrices import DomainMatrix
@@ -3686,31 +3686,31 @@ 
    What is domainmatrix?
 
    
 
    
-class sympy.polys.matrices.ddm.DDM(rowslist, shape, domain)[source]
    
+class sympy.polys.matrices.ddm.DDM(rowslist, shape, domain)[source]
 
    Dense matrix based on polys domain elements
    
 
    This is a list subclass and is a wrapper for a list of lists that supports
 basic matrix arithmetic +, -, , *.
    
 
    
 
    
-add(b)[source]
    
+add(b)[source]
 
    a + b
    
 
    
 
 
    
 
    
-charpoly()[source]
    
+charpoly()[source]
 
    Coefficients of characteristic polynomial of a
    
 
    
 
 
    
 
    
-det()[source]
    
+det()[source]
 
    Determinant of a
    
 
    
 
 
    
 
    
-classmethod diag(values, domain)[source]
    
+classmethod diag(values, domain)[source]
 
    Returns a square diagonal matrix with values on the diagonal.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -3727,13 +3727,13 @@ 
    What is domainmatrix?
 
    
-diagonal()[source]
    
+diagonal()[source]
 
    Returns a list of the elements from the diagonal of the matrix.
    
 
    
 
 
    
 
    
-classmethod from_dod(dod, shape, domain)[source]
    
+classmethod from_dod(dod, shape, domain)[source]
 
    Create a DDM from a dictionary of dictionaries (dod) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -3752,7 +3752,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_dok(dok, shape, domain)[source]
    
+classmethod from_dok(dok, shape, domain)[source]
 
    Create a DDM from a dictionary of keys (dok) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -3771,7 +3771,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_flat_nz(elements, data, domain)[source]
    
+classmethod from_flat_nz(elements, data, domain)[source]
 
    Reconstruct a DDM after calling to_flat_nz().
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -3792,7 +3792,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_list(rowslist, shape, domain)[source]
    
+classmethod from_list(rowslist, shape, domain)[source]
 
    Create a DDM from a list of lists.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -3812,7 +3812,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_list_flat(flat, shape, domain)[source]
    
+classmethod from_list_flat(flat, shape, domain)[source]
 
    Create a DDM from a flat list of elements.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -3832,7 +3832,7 @@ 
    What is domainmatrix?
 
    
-hstack(*B)[source]
    
+hstack(*B)[source]
 
    Horizontally stacks DDM matrices.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -3854,40 +3854,40 @@ 
    What is domainmatrix?
 
    
-inv()[source]
    
+inv()[source]
 
    Inverse of a
    
 
    
 
 
    
 
    
-is_diagonal()[source]
    
+is_diagonal()[source]
 
    Says whether this matrix is diagonal. True can be returned even if
 the matrix is not square.
    
 
    
 
 
    
 
    
-is_lower()[source]
    
+is_lower()[source]
 
    Says whether this matrix is lower-triangular. True can be returned
 even if the matrix is not square.
    
 
    
 
 
    
 
    
-is_upper()[source]
    
+is_upper()[source]
 
    Says whether this matrix is upper-triangular. True can be returned
 even if the matrix is not square.
    
 
    
 
 
    
 
    
-is_zero_matrix()[source]
    
+is_zero_matrix()[source]
 
    Says whether this matrix has all zero entries.
    
 
    
 
 
    
 
    
-iter_items()[source]
    
+iter_items()[source]
 
    Iterate over indices and values of nonzero elements of the matrix.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -3905,7 +3905,7 @@ 
    What is domainmatrix?
 
    
-iter_values()[source]
    
+iter_values()[source]
 
    Iterater over the non-zero values of the matrix.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -3923,31 +3923,31 @@ 
    What is domainmatrix?
 
    
-lu()[source]
    
+lu()[source]
 
    L, U decomposition of a
    
 
    
 
 
    
 
    
-lu_solve(b)[source]
    
+lu_solve(b)[source]
 
    x where a*x = b
    
 
    
 
 
    
 
    
-matmul(b)[source]
    
+matmul(b)[source]
 
    a @ b (matrix product)
    
 
    
 
 
    
 
    
-neg()[source]
    
+neg()[source]
 
    -a
    
 
    
 
 
    
 
    
-nnz()[source]
    
+nnz()[source]
 
    Number of non-zero entries in DDM matrix.
    
 
    
 
    See also
    
@@ -3957,7 +3957,7 @@ 
    What is domainmatrix?
 
    
-nullspace()[source]
    
+nullspace()[source]
 
    Returns a basis for the nullspace of a.
    
 
    The domain of the matrix must be a field.
    
 
    
@@ -3968,7 +3968,7 @@ 
    What is domainmatrix?
 
    
-nullspace_from_rref(pivots=None)[source]
    
+nullspace_from_rref(pivots=None)[source]
 
    Compute the nullspace of a matrix from its rref.
    
 
    The domain of the matrix can be any domain.
    
 
    Returns a tuple (basis, nonpivots).
    
@@ -3983,7 +3983,7 @@ 
    What is domainmatrix?
 
    
-rref()[source]
    
+rref()[source]
 
    Reduced-row echelon form of a and list of pivots.
    
 
    
 
    See also
    
@@ -3998,7 +3998,7 @@ 
    What is domainmatrix?
 
    
-rref_den()[source]
    
+rref_den()[source]
 
    Reduced-row echelon form of a with denominator and list of pivots
    
 
    
 
    See also
    
@@ -4013,7 +4013,7 @@ 
    What is domainmatrix?
 
    
-scc()[source]
    
+scc()[source]
 
    Strongly connected components of a square matrix a.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -4031,13 +4031,13 @@ 
    What is domainmatrix?
 
    
-sub(b)[source]
    
+sub(b)[source]
 
    a - b
    
 
    
 
 
    
 
    
-to_ddm()[source]
    
+to_ddm()[source]
 
    Convert to a DDM.
    
 
    This just returns self but exists to parallel the corresponding
 method in other matrix types like SDM.
    
@@ -4049,7 +4049,7 @@ 
    What is domainmatrix?
 
    
-to_dfm()[source]
    
+to_dfm()[source]
 
    Convert to DDM to DFM.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4069,7 +4069,7 @@ 
    What is domainmatrix?
 
    
-to_dfm_or_ddm()[source]
    
+to_dfm_or_ddm()[source]
 
    Convert to DFM if possible or otherwise return self.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4089,7 +4089,7 @@ 
    What is domainmatrix?
 
    
-to_dod()[source]
    
+to_dod()[source]
 
    Convert to a dictionary of dictionaries (dod) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4107,7 +4107,7 @@ 
    What is domainmatrix?
 
    
-to_dok()[source]
    
+to_dok()[source]
 
    Convert DDM to dictionary of keys (dok) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4125,7 +4125,7 @@ 
    What is domainmatrix?
 
    
-to_flat_nz()[source]
    
+to_flat_nz()[source]
 
    Convert to a flat list of nonzero elements and data.
    
 
    Explanation
    
 
    This is used to operate on a list of the elements of a matrix and then
@@ -4150,7 +4150,7 @@ 
    What is domainmatrix?
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert to a list of lists.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -4168,7 +4168,7 @@ 
    What is domainmatrix?
 
    
-to_list_flat()[source]
    
+to_list_flat()[source]
 
    Convert to a flat list of elements.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -4188,7 +4188,7 @@ 
    What is domainmatrix?
 
    
-to_sdm()[source]
    
+to_sdm()[source]
 
    Convert to a SDM.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4208,7 +4208,7 @@ 
    What is domainmatrix?
 
    
-vstack(*B)[source]
    
+vstack(*B)[source]
 
    Vertically stacks DDM matrices.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -4277,7 +4277,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_berk(M, K)[source]
    
+sympy.polys.matrices.dense.ddm_berk(M, K)[source]
 
    Berkowitz algorithm for computing the characteristic polynomial.
    
 
    Explanation
    
 
    The Berkowitz algorithm is a division-free algorithm for computing the
@@ -4319,13 +4319,13 @@ 
    What is domainmatrix?b: Sequence[Sequence[R]],
    
 
    
 
-) → None[source]
+) → None[source]
 
    a += b
    
 
    
 
 
    
 
    
-sympy.polys.matrices.dense.ddm_idet(a, K)[source]
    
+sympy.polys.matrices.dense.ddm_idet(a, K)[source]
 
    a  <–  echelon(a); return det
    
 
    Explanation
    
 
    Compute the determinant of \(a\) using the Bareiss fraction-free algorithm.
@@ -4368,7 +4368,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_iinv(ainv, a, K)[source]
    
+sympy.polys.matrices.dense.ddm_iinv(ainv, a, K)[source]
 
    ainv  <–  inv(a)
    
 
    Compute the inverse of a matrix \(a\) over a field \(K\) using Gauss-Jordan
 elimination. The result is stored in \(ainv\).
    
@@ -4398,7 +4398,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_ilu(a)[source]
    
+sympy.polys.matrices.dense.ddm_ilu(a)[source]
 
    a  <–  LU(a)
    
 
    Computes the LU decomposition of a matrix in place. Returns a list of
 row swaps that were performed.
    
@@ -4443,7 +4443,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_ilu_solve(x, L, U, swaps, b)[source]
    
+sympy.polys.matrices.dense.ddm_ilu_solve(x, L, U, swaps, b)[source]
 
    x  <–  solve(L*U*x = swaps(b))
    
 
    Solve a linear system, \(A*x = b\), given an LU factorization of \(A\).
    
 
    Uses division in the ground domain which must be a field.
    
@@ -4482,7 +4482,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_ilu_split(L, U, K)[source]
    
+sympy.polys.matrices.dense.ddm_ilu_split(L, U, K)[source]
 
    L, U  <–  LU(U)
    
 
    Compute the LU decomposition of a matrix \(L\) in place and store the lower
 and upper triangular matrices in \(L\) and \(U\), respectively. Returns a list
@@ -4518,7 +4518,7 @@ 
    What is domainmatrix?c: Sequence[Sequence[R]],
    
 
    
 
-) → None[source]
+) → None[source]
 
    a += b @ c
    
 
    
 
@@ -4531,7 +4531,7 @@ 
    What is domainmatrix?b: R,
    
 
    
 
-) → None[source]
+) → None[source]
 
    a <– a*b
    
 
    
 
@@ -4543,7 +4543,7 @@ 
    What is domainmatrix?a: list[list[R]],
    
 
    
 
-) → None[source]
+) → None[source]
 
    a <– -a
    
 
    
 
@@ -4556,13 +4556,13 @@ 
    What is domainmatrix?b: R,
    
 
    
 
-) → None[source]
+) → None[source]
 
    a <– b*a
    
 
    
 
 
    
 
    
-sympy.polys.matrices.dense.ddm_irref(a, _partial_pivot=False)[source]
    
+sympy.polys.matrices.dense.ddm_irref(a, _partial_pivot=False)[source]
 
    In-place reduced row echelon form of a matrix.
    
 
    Compute the reduced row echelon form of \(a\). Modifies \(a\) in place and
 returns a list of the pivot columns.
    
@@ -4611,7 +4611,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.dense.ddm_irref_den(a, K)[source]
    
+sympy.polys.matrices.dense.ddm_irref_den(a, K)[source]
 
    a  <–  rref(a); return (den, pivots)
    
 
    Compute the fraction-free reduced row echelon form (RREF) of \(a\). Modifies
 \(a\) in place and returns a tuple containing the denominator of the RREF and
@@ -4677,7 +4677,7 @@ 
    What is domainmatrix?b: Sequence[Sequence[R]],
    
 
    
 
-) → None[source]
+) → None[source]
 
    a -= b
    
 
    
 
@@ -4689,13 +4689,13 @@ 
    What is domainmatrix?matrix: Sequence[Sequence[T]],
    
 
    
 
-) → list[list[T]][source]
+) → list[list[T]][source]
 
    matrix transpose
    
 
    
 
 
    
 
    
-class sympy.polys.matrices._typing.RingElement(*args, **kwargs)[source]
    
+class sympy.polys.matrices._typing.RingElement(*args, **kwargs)[source]
 
    A ring element.
    
 
    Must support +, -, *, ** and -.
    
 
    
@@ -4703,7 +4703,7 @@ 
    What is domainmatrix?Module for the SDM class.
    
 
    
 
    
-class sympy.polys.matrices.sdm.SDM(elemsdict, shape, domain)[source]
    
+class sympy.polys.matrices.sdm.SDM(elemsdict, shape, domain)[source]
 
    Sparse matrix based on polys domain elements
    
 
    This is a dict subclass and is a wrapper for a dict of dicts that supports
 basic matrix arithmetic +, -, , *.
    
@@ -4747,7 +4747,7 @@ 
    What is domainmatrix?
 
    
 
    
-add(B)[source]
    
+add(B)[source]
 
    Adds two SDM matrices
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -4762,7 +4762,7 @@ 
    What is domainmatrix?
 
    
-charpoly()[source]
    
+charpoly()[source]
 
    Returns the coefficients of the characteristic polynomial
 of the SDM matrix. These elements will be domain elements.
 The domain of the elements will be same as domain of the SDM.
    
@@ -4787,7 +4787,7 @@ 
    What is domainmatrix?
 
    
-convert_to(K)[source]
    
+convert_to(K)[source]
 
    Converts the Domain of a SDM matrix to K
    
 
    Examples
    
 
    >>> from sympy import ZZ, QQ
@@ -4801,7 +4801,7 @@ 
    What is domainmatrix?
 
    
-copy()[source]
    
+copy()[source]
 
    Returns the copy of a SDM object
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -4817,7 +4817,7 @@ 
    What is domainmatrix?
 
    
-det()[source]
    
+det()[source]
 
    Returns determinant of A
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -4831,13 +4831,13 @@ 
    What is domainmatrix?
 
    
-diagonal()[source]
    
+diagonal()[source]
 
    Returns the diagonal of the matrix as a list.
    
 
    
 
 
    
 
    
-classmethod eye(shape, domain)[source]
    
+classmethod eye(shape, domain)[source]
 
    Returns a identity SDM matrix of dimensions
 size x size, belonging to the specified domain
    
 
    Examples
    
@@ -4852,7 +4852,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_ddm(ddm)[source]
    
+classmethod from_ddm(ddm)[source]
 
    Create SDM from a DDM.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.ddm import DDM
@@ -4874,7 +4874,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_dod(dod, shape, domain)[source]
    
+classmethod from_dod(dod, shape, domain)[source]
 
    Create SDM from dictionary of dictionaries (dod) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -4895,7 +4895,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_dok(dok, shape, domain)[source]
    
+classmethod from_dok(dok, shape, domain)[source]
 
    Create SDM from dictionary of keys (dok) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -4916,7 +4916,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_flat_nz(elements, data, domain)[source]
    
+classmethod from_flat_nz(elements, data, domain)[source]
 
    Reconstruct a SDM after calling to_flat_nz().
    
 
    See to_flat_nz() for explanation.
    
 
    
@@ -4927,7 +4927,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_list(ddm, shape, domain)[source]
    
+classmethod from_list(ddm, shape, domain)[source]
 
    Create SDM object from a list of lists.
    
 
    
 
    Parameters:
    
@@ -4965,7 +4965,7 @@ 
    What is domainmatrix?
 
    
-classmethod from_list_flat(elements, shape, domain)[source]
    
+classmethod from_list_flat(elements, shape, domain)[source]
 
    Create SDM from a flat list of elements.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -4985,7 +4985,7 @@ 
    What is domainmatrix?
 
    
-hstack(*B)[source]
    
+hstack(*B)[source]
 
    Horizontally stacks SDM matrices.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5007,7 +5007,7 @@ 
    What is domainmatrix?
 
    
-inv()[source]
    
+inv()[source]
 
    Returns inverse of a matrix A
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -5021,34 +5021,34 @@ 
    What is domainmatrix?
 
    
-is_diagonal()[source]
    
+is_diagonal()[source]
 
    Says whether this matrix is diagonal. True can be returned
 even if the matrix is not square.
    
 
    
 
 
    
 
    
-is_lower()[source]
    
+is_lower()[source]
 
    Says whether this matrix is lower-triangular. True can be returned
 even if the matrix is not square.
    
 
    
 
 
    
 
    
-is_upper()[source]
    
+is_upper()[source]
 
    Says whether this matrix is upper-triangular. True can be returned
 even if the matrix is not square.
    
 
    
 
 
    
 
    
-is_zero_matrix()[source]
    
+is_zero_matrix()[source]
 
    Says whether this matrix has all zero entries.
    
 
    
 
 
    
 
    
-iter_items()[source]
    
+iter_items()[source]
 
    Iterate over indices and values of the nonzero elements.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5066,7 +5066,7 @@ 
    What is domainmatrix?
 
    
-iter_values()[source]
    
+iter_values()[source]
 
    Iterate over the nonzero values of a SDM matrix.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5080,19 +5080,19 @@ 
    What is domainmatrix?
 
    
-lll(delta=MPQ(3, 4))[source]
    
+lll(delta=MPQ(3, 4))[source]
 
    Returns the LLL-reduced basis for the SDM matrix.
    
 
    
 
 
    
 
    
-lll_transform(delta=MPQ(3, 4))[source]
    
+lll_transform(delta=MPQ(3, 4))[source]
 
    Returns the LLL-reduced basis and transformation matrix.
    
 
    
 
 
    
 
    
-lu()[source]
    
+lu()[source]
 
    Returns LU decomposition for a matrix A
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -5106,7 +5106,7 @@ 
    What is domainmatrix?
 
    
-lu_solve(b)[source]
    
+lu_solve(b)[source]
 
    Uses LU decomposition to solve Ax = b,
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -5121,7 +5121,7 @@ 
    What is domainmatrix?
 
    
-matmul(B)[source]
    
+matmul(B)[source]
 
    Performs matrix multiplication of two SDM matrices
    
 
    
 
    Parameters:
    
@@ -5154,7 +5154,7 @@ 
    What is domainmatrix?
 
    
-mul(b)[source]
    
+mul(b)[source]
 
    Multiplies each element of A with a scalar b
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5168,7 +5168,7 @@ 
    What is domainmatrix?
 
    
-neg()[source]
    
+neg()[source]
 
    Returns the negative of a SDM matrix
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5182,7 +5182,7 @@ 
    What is domainmatrix?
 
    
-classmethod new(sdm, shape, domain)[source]
    
+classmethod new(sdm, shape, domain)[source]
 
    
 
    Parameters:
    
 
    sdm: A dict of dicts for non-zero elements in SDM
    
@@ -5206,7 +5206,7 @@ 
    What is domainmatrix?
 
    
-nnz()[source]
    
+nnz()[source]
 
    Number of non-zero elements in the SDM matrix.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5224,7 +5224,7 @@ 
    What is domainmatrix?
 
    
-nullspace()[source]
    
+nullspace()[source]
 
    Nullspace of a SDM matrix A.
    
 
    The domain of the matrix must be a field.
    
 
    It is better to use the nullspace() method rather
@@ -5248,7 +5248,7 @@ 
    What is domainmatrix?
 
    
-nullspace_from_rref(pivots=None)[source]
    
+nullspace_from_rref(pivots=None)[source]
 
    Returns nullspace for a SDM matrix A in RREF.
    
 
    The domain of the matrix can be any domain.
    
 
    The matrix must already be in reduced row echelon form (RREF).
    
@@ -5281,7 +5281,7 @@ 
    What is domainmatrix?
 
    
-rref()[source]
    
+rref()[source]
 
    Returns reduced-row echelon form and list of pivots for the SDM
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -5295,7 +5295,7 @@ 
    What is domainmatrix?
 
    
-rref_den()[source]
    
+rref_den()[source]
 
    Returns reduced-row echelon form (RREF) with denominator and pivots.
    
 
    Examples
    
 
    >>> from sympy import QQ
@@ -5309,7 +5309,7 @@ 
    What is domainmatrix?
 
    
-scc()[source]
    
+scc()[source]
 
    Strongly connected components of a square matrix A.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5327,7 +5327,7 @@ 
    What is domainmatrix?
 
    
-sub(B)[source]
    
+sub(B)[source]
 
    Subtracts two SDM matrices
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5342,7 +5342,7 @@ 
    What is domainmatrix?
 
    
-to_ddm()[source]
    
+to_ddm()[source]
 
    Convert a SDM object to a DDM object
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5356,7 +5356,7 @@ 
    What is domainmatrix?
 
    
-to_dfm()[source]
    
+to_dfm()[source]
 
    Convert a SDM object to a DFM object
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5374,7 +5374,7 @@ 
    What is domainmatrix?
 
    
-to_dfm_or_ddm()[source]
    
+to_dfm_or_ddm()[source]
 
    Convert to DFM if possible, else DDM.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5394,7 +5394,7 @@ 
    What is domainmatrix?
 
    
-to_dod()[source]
    
+to_dod()[source]
 
    Convert to dictionary of dictionaries (dod) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5412,7 +5412,7 @@ 
    What is domainmatrix?
 
    
-to_dok()[source]
    
+to_dok()[source]
 
    Convert to dictionary of keys (dok) format.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5430,7 +5430,7 @@ 
    What is domainmatrix?
 
    
-to_flat_nz()[source]
    
+to_flat_nz()[source]
 
    Convert SDM to a flat list of nonzero elements and data.
    
 
    Explanation
    
 
    This is used to operate on a list of the elements of a matrix and then
@@ -5455,7 +5455,7 @@ 
    What is domainmatrix?
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert a SDM object to a list of lists.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5470,7 +5470,7 @@ 
    What is domainmatrix?
 
    
-to_list_flat()[source]
    
+to_list_flat()[source]
 
    Convert SDM to a flat list.
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5490,13 +5490,13 @@ 
    What is domainmatrix?
 
    
-to_sdm()[source]
    
+to_sdm()[source]
 
    Convert to SDM format (returns self).
    
 
    
 
 
    
 
    
-transpose()[source]
    
+transpose()[source]
 
    Returns the transpose of a SDM matrix
    
 
    Examples
    
 
    >>> from sympy.polys.matrices.sdm import SDM
@@ -5510,7 +5510,7 @@ 
    What is domainmatrix?
 
    
-vstack(*B)[source]
    
+vstack(*B)[source]
 
    Vertically stacks SDM matrices.
    
 
    Examples
    
 
    >>> from sympy import ZZ
@@ -5532,7 +5532,7 @@ 
    What is domainmatrix?
 
    
-classmethod zeros(shape, domain)[source]
    
+classmethod zeros(shape, domain)[source]
 
    Returns a SDM of size shape,
 belonging to the specified domain
    
 
    In the example below we declare a matrix A where,
    
@@ -5555,7 +5555,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.sdm.sdm_berk(M, n, K)[source]
    
+sympy.polys.matrices.sdm.sdm_berk(M, n, K)[source]
 
    Berkowitz algorithm for computing the characteristic polynomial.
    
 
    Explanation
    
 
    The Berkowitz algorithm is a division-free algorithm for computing the
@@ -5593,7 +5593,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.sdm.sdm_irref(A)[source]
    
+sympy.polys.matrices.sdm.sdm_irref(A)[source]
 
    RREF and pivots of a sparse matrix A.
    
 
    Compute the reduced row echelon form (RREF) of the matrix A and return a
 list of the pivot columns. This routine does not work in place and leaves
@@ -5660,19 +5660,19 @@ 
    What is domainmatrix?nonzero_cols,
    
 
    
 
-)[source]
+)[source]
 
    Get nullspace from A which is in RREF
    
 
    
 
 
    
 
    
-sympy.polys.matrices.sdm.sdm_particular_from_rref(A, ncols, pivots)[source]
    
+sympy.polys.matrices.sdm.sdm_particular_from_rref(A, ncols, pivots)[source]
 
    Get a particular solution from A which is in RREF
    
 
    
 
 
    
 
    
-sympy.polys.matrices.sdm.sdm_rref_den(A, K)[source]
    
+sympy.polys.matrices.sdm.sdm_rref_den(A, K)[source]
 
    Return the reduced row echelon form (RREF) of A with denominator.
    
 
    The RREF is computed using fraction-free Gauss-Jordan elimination.
    
 
    Explanation
    
@@ -5726,7 +5726,7 @@ 
    What is domainmatrix?
 
    
-class sympy.polys.matrices._dfm.DFM(rowslist, shape, domain)[source]
    
+class sympy.polys.matrices._dfm.DFM(rowslist, shape, domain)[source]
 
    Dense FLINT matrix. This class is a wrapper for matrices from python-flint.
    
 
    >>> from sympy.polys.domains import ZZ
 >>> from sympy.polys.matrices.dfm import DFM
@@ -5760,19 +5760,19 @@ 
    What is domainmatrix?
 
    
 
    
-add(other)[source]
    
+add(other)[source]
 
    Add two DFM matrices.
    
 
    
 
 
    
 
    
-applyfunc(func, domain)[source]
    
+applyfunc(func, domain)[source]
 
    Apply a function to each entry of a DFM matrix.
    
 
    
 
 
    
 
    
-charpoly()[source]
    
+charpoly()[source]
 
    Compute the characteristic polynomial of the matrix using FLINT.
    
 
    Examples
    
 
    >>> from sympy import Matrix
@@ -5807,19 +5807,19 @@ 
    What is domainmatrix?
 
    
-convert_to(domain)[source]
    
+convert_to(domain)[source]
 
    Convert to a new domain.
    
 
    
 
 
    
 
    
-copy()[source]
    
+copy()[source]
 
    Return a copy of self.
    
 
    
 
 
    
 
    
-det()[source]
    
+det()[source]
 
    Compute the determinant of the matrix using FLINT.
    
 
    Examples
    
 
    >>> from sympy import Matrix
@@ -5860,85 +5860,85 @@ 
    What is domainmatrix?
 
    
-classmethod diag(elements, domain)[source]
    
+classmethod diag(elements, domain)[source]
 
    Return a diagonal matrix.
    
 
    
 
 
    
 
    
-diagonal()[source]
    
+diagonal()[source]
 
    Return the diagonal of a DFM matrix.
    
 
    
 
 
    
 
    
-extract(rowslist, colslist)[source]
    
+extract(rowslist, colslist)[source]
 
    Extract a submatrix.
    
 
    
 
 
    
 
    
-extract_slice(rowslice, colslice)[source]
    
+extract_slice(rowslice, colslice)[source]
 
    Slice a DFM.
    
 
    
 
 
    
 
    
-classmethod eye(n, domain)[source]
    
+classmethod eye(n, domain)[source]
 
    Return the identity matrix of size n.
    
 
    
 
 
    
 
    
-classmethod from_ddm(ddm)[source]
    
+classmethod from_ddm(ddm)[source]
 
    Convert from a DDM.
    
 
    
 
 
    
 
    
-classmethod from_dod(dod, shape, domain)[source]
    
+classmethod from_dod(dod, shape, domain)[source]
 
    Inverse of to_dod().
    
 
    
 
 
    
 
    
-classmethod from_dok(dok, shape, domain)[source]
    
+classmethod from_dok(dok, shape, domain)[source]
 
    Inverse of \(to_dod\).
    
 
    
 
 
    
 
    
-classmethod from_flat_nz(elements, data, domain)[source]
    
+classmethod from_flat_nz(elements, data, domain)[source]
 
    Inverse of to_flat_nz().
    
 
    
 
 
    
 
    
-classmethod from_list(rowslist, shape, domain)[source]
    
+classmethod from_list(rowslist, shape, domain)[source]
 
    Construct from a nested list.
    
 
    
 
 
    
 
    
-classmethod from_list_flat(elements, shape, domain)[source]
    
+classmethod from_list_flat(elements, shape, domain)[source]
 
    Inverse of to_list_flat().
    
 
    
 
 
    
 
    
-getitem(i, j)[source]
    
+getitem(i, j)[source]
 
    Get the (i, j)-th entry.
    
 
    
 
 
    
 
    
-hstack(*others)[source]
    
+hstack(*others)[source]
 
    Horizontally stack matrices.
    
 
    
 
 
    
 
    
-inv()[source]
    
+inv()[source]
 
    Compute the inverse of a matrix using FLINT.
    
 
    Examples
    
 
    >>> from sympy import Matrix, QQ
@@ -5974,43 +5974,43 @@ 
    What is domainmatrix?
 
    
-is_diagonal()[source]
    
+is_diagonal()[source]
 
    Return True if the matrix is diagonal.
    
 
    
 
 
    
 
    
-is_lower()[source]
    
+is_lower()[source]
 
    Return True if the matrix is lower triangular.
    
 
    
 
 
    
 
    
-is_upper()[source]
    
+is_upper()[source]
 
    Return True if the matrix is upper triangular.
    
 
    
 
 
    
 
    
-is_zero_matrix()[source]
    
+is_zero_matrix()[source]
 
    Return True if the matrix is the zero matrix.
    
 
    
 
 
    
 
    
-iter_items()[source]
    
+iter_items()[source]
 
    Iterate over indices and values of nonzero elements of the matrix.
    
 
    
 
 
    
 
    
-iter_values()[source]
    
+iter_values()[source]
 
    Iterater over the non-zero values of the matrix.
    
 
    
 
 
    
 
    
-lll(delta=0.75)[source]
    
+lll(delta=0.75)[source]
 
    Compute LLL-reduced basis using FLINT.
    
 
    See lll_transform() for more information.
    
 
    Examples
    
@@ -6033,7 +6033,7 @@ 
    What is domainmatrix?
 
    
-lll_transform(delta=0.75)[source]
    
+lll_transform(delta=0.75)[source]
 
    Compute LLL-reduced basis and transform using FLINT.
    
 
    Examples
    
 
    >>> from sympy import Matrix
@@ -6060,13 +6060,13 @@ 
    What is domainmatrix?
 
    
-lu()[source]
    
+lu()[source]
 
    Return the LU decomposition of the matrix.
    
 
    
 
 
    
 
    
-lu_solve(rhs)[source]
    
+lu_solve(rhs)[source]
 
    Solve a matrix equation using FLINT.
    
 
    Examples
    
 
    >>> from sympy import Matrix, QQ
@@ -6109,97 +6109,97 @@ 
    What is domainmatrix?
 
    
-matmul(other)[source]
    
+matmul(other)[source]
 
    Multiply two DFM matrices.
    
 
    
 
 
    
 
    
-mul(other)[source]
    
+mul(other)[source]
 
    Multiply a DFM matrix from the right by a scalar.
    
 
    
 
 
    
 
    
-mul_elementwise(other)[source]
    
+mul_elementwise(other)[source]
 
    Elementwise multiplication of two DFM matrices.
    
 
    
 
 
    
 
    
-neg()[source]
    
+neg()[source]
 
    Negate a DFM matrix.
    
 
    
 
 
    
 
    
-nnz()[source]
    
+nnz()[source]
 
    Return the number of non-zero elements in the matrix.
    
 
    
 
 
    
 
    
-nullspace()[source]
    
+nullspace()[source]
 
    Return a basis for the nullspace of the matrix.
    
 
    
 
 
    
 
    
-nullspace_from_rref(pivots=None)[source]
    
+nullspace_from_rref(pivots=None)[source]
 
    Return a basis for the nullspace of the matrix.
    
 
    
 
 
    
 
    
-classmethod ones(shape, domain)[source]
    
+classmethod ones(shape, domain)[source]
 
    Return a one DFM matrix.
    
 
    
 
 
    
 
    
-particular()[source]
    
+particular()[source]
 
    Return a particular solution to the system.
    
 
    
 
 
    
 
    
-rmul(other)[source]
    
+rmul(other)[source]
 
    Multiply a DFM matrix from the left by a scalar.
    
 
    
 
 
    
 
    
-scc()[source]
    
+scc()[source]
 
    Return the strongly connected components of the matrix.
    
 
    
 
 
    
 
    
-setitem(i, j, value)[source]
    
+setitem(i, j, value)[source]
 
    Set the (i, j)-th entry.
    
 
    
 
 
    
 
    
-sub(other)[source]
    
+sub(other)[source]
 
    Subtract two DFM matrices.
    
 
    
 
 
    
 
    
-to_ddm()[source]
    
+to_ddm()[source]
 
    Convert to a DDM.
    
 
    
 
 
    
 
    
-to_dfm()[source]
    
+to_dfm()[source]
 
    Return self.
    
 
    
 
 
    
 
    
-to_dfm_or_ddm()[source]
    
+to_dfm_or_ddm()[source]
 
    Convert to a DFM.
    
 
    This DFM method exists to parallel the DDM and
 SDM methods. For DFM it will always return self.
    
@@ -6211,55 +6211,55 @@ 
    What is domainmatrix?
 
    
-to_dod()[source]
    
+to_dod()[source]
 
    Convert to a DOD.
    
 
    
 
 
    
 
    
-to_dok()[source]
    
+to_dok()[source]
 
    Convert to a DOK.
    
 
    
 
 
    
 
    
-to_flat_nz()[source]
    
+to_flat_nz()[source]
 
    Convert to a flat list of non-zeros.
    
 
    
 
 
    
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert to a nested list.
    
 
    
 
 
    
 
    
-to_list_flat()[source]
    
+to_list_flat()[source]
 
    Convert to a flat list.
    
 
    
 
 
    
 
    
-to_sdm()[source]
    
+to_sdm()[source]
 
    Convert to a SDM.
    
 
    
 
 
    
 
    
-transpose()[source]
    
+transpose()[source]
 
    Transpose a DFM matrix.
    
 
    
 
 
    
 
    
-vstack(*others)[source]
    
+vstack(*others)[source]
 
    Vertically stack matrices.
    
 
    
 
 
    
 
    
-classmethod zeros(shape, domain)[source]
    
+classmethod zeros(shape, domain)[source]
 
    Return a zero DFM matrix.
    
 
    
 
@@ -6267,7 +6267,7 @@ 
    What is domainmatrix?
 
    
-sympy.polys.matrices.normalforms.smith_normal_form(m)[source]
    
+sympy.polys.matrices.normalforms.smith_normal_form(m)[source]
 
    Return the Smith Normal Form of a matrix \(m\) over the ring \(domain\).
 This will only work if the ring is a principal ideal domain.
    
 
    Examples
    
@@ -6294,7 +6294,7 @@ 
    What is domainmatrix?check_rank=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute the Hermite Normal Form of DomainMatrix A over
 ZZ.
    
 
    
diff --git a/dev/modules/polys/domainsref.html b/dev/modules/polys/domainsref.html
index 0346d475cee..892f3f15787 100644
--- a/dev/modules/polys/domainsref.html
+++ b/dev/modules/polys/domainsref.html
@@ -827,7 +827,7 @@ 
    Domains
    Abstract Domains
    
 
    
 
    
-class sympy.polys.domains.domain.Domain[source]
    
+class sympy.polys.domains.domain.Domain[source]
 
    Superclass for all domains in the polys domains system.
    
 
    See Introducing the Domains of the poly module for an introductory explanation of the
 domains system.
    
@@ -998,13 +998,13 @@ 
    Abstract Domains
 
    
-abs(a)[source]
    
+abs(a)[source]
 
    Absolute value of a, implies __abs__.
    
 
    
 
 
    
 
    
-add(a, b)[source]
    
+add(a, b)[source]
 
    Sum of a and b, implies __add__.
    
 
    
 
@@ -1018,7 +1018,7 @@ 
    Abstract Domainsroot_index=-1,
    
 
    
 
-)[source]
+)[source]
 
    Convenience method to construct an algebraic extension on a root of a
 polynomial, chosen by root index.
    
 
    
@@ -1061,37 +1061,37 @@ 
    Abstract Domains
 
    
-algebraic_field(*extension, alias=None)[source]
    
+algebraic_field(*extension, alias=None)[source]
 
    Returns an algebraic field, i.e. \(K(\alpha, \ldots)\).
    
 
    
 
 
    
 
    
-almosteq(a, b, tolerance=None)[source]
    
+almosteq(a, b, tolerance=None)[source]
 
    Check if a and b are almost equal.
    
 
    
 
 
    
 
    
-characteristic()[source]
    
+characteristic()[source]
 
    Return the characteristic of this domain.
    
 
    
 
 
    
 
    
-cofactors(a, b)[source]
    
+cofactors(a, b)[source]
 
    Returns GCD and cofactors of a and b.
    
 
    
 
 
    
 
    
-convert(element, base=None)[source]
    
+convert(element, base=None)[source]
 
    Convert element to self.dtype.
    
 
    
 
 
    
 
    
-convert_from(element, base)[source]
    
+convert_from(element, base)[source]
 
    Convert element to self.dtype given the base domain.
    
 
    
 
@@ -1107,7 +1107,7 @@ 
    Abstract Domainsroot_index=-1,
    
 
    
 
-)[source]
+)[source]
 
    Convenience method to construct a cyclotomic field.
    
 
    
 
    Parameters:
    
@@ -1153,13 +1153,13 @@ 
    Abstract Domains
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-div(a, b)[source]
    
+div(a, b)[source]
 
    Quotient and remainder for a and b. Analogue of divmod(a, b)
    
 
    
 
    Parameters:
    
@@ -1241,7 +1241,7 @@ 
    Abstract Domains
 
    
-drop(*symbols)[source]
    
+drop(*symbols)[source]
 
    Drop generators from this domain.
    
 
    
 
@@ -1271,13 +1271,13 @@ 
    Abstract Domains
 
    
-evalf(a, prec=None, **options)[source]
    
+evalf(a, prec=None, **options)[source]
 
    Returns numerical approximation of a.
    
 
    
 
 
    
 
    
-exquo(a, b)[source]
    
+exquo(a, b)[source]
 
    Exact quotient of a and b. Analogue of a / b.
    
 
    
 
    Parameters:
    
@@ -1365,7 +1365,7 @@ 
    Abstract Domains
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Principal square root of a within the domain if a is square.
    
 
    Explanation
    
 
    The implementation of this method should return an element b in the
@@ -1381,109 +1381,109 @@ 
    Abstract Domains
 
    
-frac_field(*symbols, order=LexOrder())[source]
    
+frac_field(*symbols, order=LexOrder())[source]
 
    Returns a fraction field, i.e. \(K(X)\).
    
 
    
 
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert an algebraic number to dtype.
    
 
    
 
 
    
 
    
-from_ComplexField(a, K0)[source]
    
+from_ComplexField(a, K0)[source]
 
    Convert a complex element to dtype.
    
 
    
 
 
    
 
    
-from_ExpressionDomain(a, K0)[source]
    
+from_ExpressionDomain(a, K0)[source]
 
    Convert a EX object to dtype.
    
 
    
 
 
    
 
    
-from_ExpressionRawDomain(a, K0)[source]
    
+from_ExpressionRawDomain(a, K0)[source]
 
    Convert a EX object to dtype.
    
 
    
 
 
    
 
    
-from_FF(a, K0)[source]
    
+from_FF(a, K0)[source]
 
    Convert ModularInteger(int) to dtype.
    
 
    
 
 
    
 
    
-from_FF_gmpy(a, K0)[source]
    
+from_FF_gmpy(a, K0)[source]
 
    Convert ModularInteger(mpz) to dtype.
    
 
    
 
 
    
 
    
-from_FF_python(a, K0)[source]
    
+from_FF_python(a, K0)[source]
 
    Convert ModularInteger(int) to dtype.
    
 
    
 
 
    
 
    
-from_FractionField(a, K0)[source]
    
+from_FractionField(a, K0)[source]
 
    Convert a rational function to dtype.
    
 
    
 
 
    
 
    
-from_GlobalPolynomialRing(a, K0)[source]
    
+from_GlobalPolynomialRing(a, K0)[source]
 
    Convert a polynomial to dtype.
    
 
    
 
 
    
 
    
-from_MonogenicFiniteExtension(a, K0)[source]
    
+from_MonogenicFiniteExtension(a, K0)[source]
 
    Convert an ExtensionElement to dtype.
    
 
    
 
 
    
 
    
-from_PolynomialRing(a, K0)[source]
    
+from_PolynomialRing(a, K0)[source]
 
    Convert a polynomial to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a real element object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert a SymPy expression to an element of this domain.
    
 
    
 
    Parameters:
    
@@ -1509,37 +1509,37 @@ 
    Abstract Domains
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Returns GCD of a and b.
    
 
    
 
 
    
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Extended GCD of a and b.
    
 
    
 
 
    
 
    
-get_exact()[source]
    
+get_exact()[source]
 
    Returns an exact domain associated with self.
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-half_gcdex(a, b)[source]
    
+half_gcdex(a, b)[source]
 
    Half extended GCD of a and b.
    
 
    
 
@@ -1581,13 +1581,13 @@ 
    Abstract Domains
 
    
-inject(*symbols)[source]
    
+inject(*symbols)[source]
 
    Inject generators into this domain.
    
 
    
 
 
    
 
    
-invert(a, b)[source]
    
+invert(a, b)[source]
 
    Returns inversion of a mod b, implies something.
    
 
    
 
@@ -1644,37 +1644,37 @@ 
    Abstract Domains
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if a is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if a is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if a is non-positive.
    
 
    
 
 
    
 
    
-is_one(a)[source]
    
+is_one(a)[source]
 
    Returns True if a is one.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if a is positive.
    
 
    
 
 
    
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Returns whether a is a square in the domain.
    
 
    Explanation
    
 
    Returns True if there is an element b in the domain such that
@@ -1689,67 +1689,67 @@ 
    Abstract Domains
 
    
-is_zero(a)[source]
    
+is_zero(a)[source]
 
    Returns True if a is zero.
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Returns LCM of a and b.
    
 
    
 
 
    
 
    
-log(a, b)[source]
    
+log(a, b)[source]
 
    Returns b-base logarithm of a.
    
 
    
 
 
    
 
    
-map(seq)[source]
    
+map(seq)[source]
 
    Rersively apply self to all elements of seq.
    
 
    
 
 
    
 
    
-mul(a, b)[source]
    
+mul(a, b)[source]
 
    Product of a and b, implies __mul__.
    
 
    
 
 
    
 
    
-n(a, prec=None, **options)[source]
    
+n(a, prec=None, **options)[source]
 
    Returns numerical approximation of a.
    
 
    
 
 
    
 
    
-neg(a)[source]
    
+neg(a)[source]
 
    Returns a negated, implies __neg__.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-of_type(element)[source]
    
+of_type(element)[source]
 
    Check if a is of type dtype.
    
 
    
 
 
    
 
    
-old_frac_field(*symbols, **kwargs)[source]
    
+old_frac_field(*symbols, **kwargs)[source]
 
    Returns a fraction field, i.e. \(K(X)\).
    
 
    
 
 
    
 
    
-old_poly_ring(*symbols, **kwargs)[source]
    
+old_poly_ring(*symbols, **kwargs)[source]
 
    Returns a polynomial ring, i.e. \(K[X]\).
    
 
    
 
@@ -1772,25 +1772,25 @@ 
    Abstract Domains
 
    
-poly_ring(*symbols, order=LexOrder())[source]
    
+poly_ring(*symbols, order=LexOrder())[source]
 
    Returns a polynomial ring, i.e. \(K[X]\).
    
 
    
 
 
    
 
    
-pos(a)[source]
    
+pos(a)[source]
 
    Returns a positive, implies __pos__.
    
 
    
 
 
    
 
    
-pow(a, b)[source]
    
+pow(a, b)[source]
 
    Raise a to power b, implies __pow__.
    
 
    
 
 
    
 
    
-quo(a, b)[source]
    
+quo(a, b)[source]
 
    Quotient of a and b. Analogue of a // b.
    
 
    K.quo(a, b) is equivalent to K.div(a, b)[0]. See
 div() for more explanation.
    
@@ -1809,7 +1809,7 @@ 
    Abstract Domains
 
    
-rem(a, b)[source]
    
+rem(a, b)[source]
 
    Modulo division of a and b. Analogue of a % b.
    
 
    K.rem(a, b) is equivalent to K.div(a, b)[1]. See
 div() for more explanation.
    
@@ -1828,13 +1828,13 @@ 
    Abstract Domains
 
    
-revert(a)[source]
    
+revert(a)[source]
 
    Returns a**(-1) if possible.
    
 
    
 
 
    
 
    
-sqrt(a)[source]
    
+sqrt(a)[source]
 
    Returns a (possibly inexact) square root of a.
    
 
    Explanation
    
 
    There is no universal definition of “inexact square root” for all
@@ -1848,13 +1848,13 @@ 
    Abstract Domains
 
    
-sub(a, b)[source]
    
+sub(a, b)[source]
 
    Difference of a and b, implies __sub__.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert domain element a to a SymPy expression (Expr).
    
 
    
 
    Parameters:
    
@@ -1949,7 +1949,7 @@ 
    Abstract Domains
 
    
-unify(K1, symbols=None)[source]
    
+unify(K1, symbols=None)[source]
 
    Construct a minimal domain that contains elements of K0 and K1.
    
 
    Known domains (from smallest to largest):
    
 
    
 
@@ -1992,13 +1992,13 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.domainelement.DomainElement[source]
    
+class sympy.polys.domains.domainelement.DomainElement[source]
 
    Represents an element of a domain.
    
 
    Mix in this trait into a class whose instances should be recognized as
 elements of a domain. Method parent() gives that domain.
    
 
    
 
    
-parent()[source]
    
+parent()[source]
 
    Get the domain associated with self
    
 
    Examples
    
 
    >>> from sympy import ZZ, symbols
@@ -2020,23 +2020,23 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.field.Field[source]
    
+class sympy.polys.domains.field.Field[source]
 
    Represents a field domain.
    
 
    
 
    
-div(a, b)[source]
    
+div(a, b)[source]
 
    Division of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-exquo(a, b)[source]
    
+exquo(a, b)[source]
 
    Exact quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Returns GCD of a and b.
    
 
    This definition of GCD over fields allows to clear denominators
 in \(primitive()\).
    
@@ -2058,31 +2058,31 @@ 
    Abstract Domains
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Returns x, y, g such that a * x + b * y == g == gcd(a, b)
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-is_unit(a)[source]
    
+is_unit(a)[source]
 
    Return true if a is a invertible
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Returns LCM of a and b.
    
 
    >>> from sympy.polys.domains import QQ
 >>> from sympy import S, lcm
@@ -2098,19 +2098,19 @@ 
    Abstract Domains
 
    
-quo(a, b)[source]
    
+quo(a, b)[source]
 
    Quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-rem(a, b)[source]
    
+rem(a, b)[source]
 
    Remainder of a and b, implies nothing.
    
 
    
 
 
    
 
    
-revert(a)[source]
    
+revert(a)[source]
 
    Returns a**(-1) if possible.
    
 
    
 
@@ -2118,29 +2118,29 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.ring.Ring[source]
    
+class sympy.polys.domains.ring.Ring[source]
 
    Represents a ring domain.
    
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of \(a\).
    
 
    
 
 
    
 
    
-div(a, b)[source]
    
+div(a, b)[source]
 
    Division of a and b, implies __divmod__.
    
 
    
 
 
    
 
    
-exquo(a, b)[source]
    
+exquo(a, b)[source]
 
    Exact quotient of a and b, implies __floordiv__.
    
 
    
 
 
    
 
    
-free_module(rank)[source]
    
+free_module(rank)[source]
 
    Generate a free module of rank rank over self.
    
 
    >>> from sympy.abc import x
 >>> from sympy import QQ
@@ -2152,13 +2152,13 @@ 
    Abstract Domains
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-ideal(*gens)[source]
    
+ideal(*gens)[source]
 
    Generate an ideal of self.
    
 
    >>> from sympy.abc import x
 >>> from sympy import QQ
@@ -2170,25 +2170,25 @@ 
    Abstract Domains
 
    
-invert(a, b)[source]
    
+invert(a, b)[source]
 
    Returns inversion of a mod b.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-quo(a, b)[source]
    
+quo(a, b)[source]
 
    Quotient of a and b, implies __floordiv__.
    
 
    
 
 
    
 
    
-quotient_ring(e)[source]
    
+quotient_ring(e)[source]
 
    Form a quotient ring of self.
    
 
    Here e can be an ideal or an iterable.
    
 
    >>> from sympy.abc import x
@@ -2208,13 +2208,13 @@ 
    Abstract Domains
 
    
-rem(a, b)[source]
    
+rem(a, b)[source]
 
    Remainder of a and b, implies __mod__.
    
 
    
 
 
    
 
    
-revert(a)[source]
    
+revert(a)[source]
 
    Returns a**(-1) if possible.
    
 
    
 
@@ -2222,11 +2222,11 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.simpledomain.SimpleDomain[source]
    
+class sympy.polys.domains.simpledomain.SimpleDomain[source]
 
    Base class for simple domains, e.g. ZZ, QQ.
    
 
    
 
    
-inject(*gens)[source]
    
+inject(*gens)[source]
 
    Inject generators into this domain.
    
 
    
 
@@ -2234,23 +2234,23 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.compositedomain.CompositeDomain[source]
    
+class sympy.polys.domains.compositedomain.CompositeDomain[source]
 
    Base class for composite domains, e.g. ZZ[x], ZZ(X).
    
 
    
 
    
-drop(*symbols)[source]
    
+drop(*symbols)[source]
 
    Drop generators from this domain.
    
 
    
 
 
    
 
    
-get_exact()[source]
    
+get_exact()[source]
 
    Returns an exact version of this domain.
    
 
    
 
 
    
 
    
-inject(*symbols)[source]
    
+inject(*symbols)[source]
 
    Inject generators into this domain.
    
 
    
 
@@ -2262,7 +2262,7 @@ 
    Abstract Domains
 
    
-set_domain(domain)[source]
    
+set_domain(domain)[source]
 
    Set the ground domain of this domain.
    
 
    
 
@@ -2273,7 +2273,7 @@ 
    Abstract Domains
    GF(p)
    
 
    
 
    
-class sympy.polys.domains.FiniteField(mod, symmetric=True)[source]
    
+class sympy.polys.domains.FiniteField(mod, symmetric=True)[source]
 
    Finite field of prime order GF(p)
    
 
    A GF(p) domain represents a finite field \(\mathbb{F}_p\) of prime
 order as Domain in the domain system (see
@@ -2356,13 +2356,13 @@ 
    Abstract DomainsGF(p**n)) but these are not yet implemented in SymPY.
    
 
    
 
    
-characteristic()[source]
    
+characteristic()[source]
 
    Return the characteristic of this domain.
    
 
    
 
 
    
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Square root modulo p of a if it is a quadratic residue.
    
 
    Explanation
    
 
    Always returns the square root that is no larger than p // 2.
    
@@ -2370,115 +2370,115 @@ 
    Abstract Domains
 
    
-from_FF(a, K0=None)[source]
    
+from_FF(a, K0=None)[source]
 
    Convert ModularInteger(int) to dtype.
    
 
    
 
 
    
 
    
-from_FF_gmpy(a, K0=None)[source]
    
+from_FF_gmpy(a, K0=None)[source]
 
    Convert ModularInteger(mpz) to dtype.
    
 
    
 
 
    
 
    
-from_FF_python(a, K0=None)[source]
    
+from_FF_python(a, K0=None)[source]
 
    Convert ModularInteger(int) to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0=None)[source]
    
+from_QQ(a, K0=None)[source]
 
    Convert Python’s Fraction to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0=None)[source]
    
+from_QQ_gmpy(a, K0=None)[source]
 
    Convert GMPY’s mpq to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0=None)[source]
    
+from_QQ_python(a, K0=None)[source]
 
    Convert Python’s Fraction to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert mpmath’s mpf to dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0=None)[source]
    
+from_ZZ(a, K0=None)[source]
 
    Convert Python’s int to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0=None)[source]
    
+from_ZZ_gmpy(a, K0=None)[source]
 
    Convert GMPY’s mpz to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0=None)[source]
    
+from_ZZ_python(a, K0=None)[source]
 
    Convert Python’s int to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s Integer to SymPy’s Integer.
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if a is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if a is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if a is non-positive.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if a is positive.
    
 
    
 
 
    
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Returns True if a is a quadratic residue modulo p.
    
 
    
 
 
    
 
    
-to_int(a)[source]
    
+to_int(a)[source]
 
    Convert val to a Python int object.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -2486,13 +2486,13 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.PythonFiniteField(mod, symmetric=True)[source]
    
+class sympy.polys.domains.PythonFiniteField(mod, symmetric=True)[source]
 
    Finite field based on Python’s integers.
    
 
    
 
 
    
 
    
-class sympy.polys.domains.GMPYFiniteField(mod, symmetric=True)[source]
    
+class sympy.polys.domains.GMPYFiniteField(mod, symmetric=True)[source]
 
    Finite field based on GMPY integers.
    
 
    
 
@@ -2548,7 +2548,7 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.IntegerRing[source]
    
+class sympy.polys.domains.IntegerRing[source]
 
    The domain ZZ representing the integers \(\mathbb{Z}\).
    
 
    The IntegerRing class represents the ring of integers as a
 Domain in the domain system. IntegerRing is a
@@ -2568,7 +2568,7 @@ 
    Abstract Domainsalias=None,
    
 
    
 
-)[source]
+)[source]
 
    Returns an algebraic field, i.e. \(\mathbb{Q}(\alpha, \ldots)\).
    
 
    
 
    Parameters:
    
@@ -2600,7 +2600,7 @@ 
    Abstract Domains
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Non-negative square root of a if a is a square.
    
 
    
 
    See also
    
@@ -2610,104 +2610,104 @@ 
    Abstract Domains
 
    
-factorial(a)[source]
    
+factorial(a)[source]
 
    Compute factorial of a.
    
 
    
 
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert a ANP object to ZZ.
    
 
    See convert().
    
 
    
 
 
    
 
    
-from_EX(a, K0)[source]
    
+from_EX(a, K0)[source]
 
    Convert Expression to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_FF(a, K0)[source]
    
+from_FF(a, K0)[source]
 
    Convert ModularInteger(int) to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_FF_gmpy(a, K0)[source]
    
+from_FF_gmpy(a, K0)[source]
 
    Convert ModularInteger(mpz) to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_FF_python(a, K0)[source]
    
+from_FF_python(a, K0)[source]
 
    Convert ModularInteger(int) to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert Python’s Fraction to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert GMPY mpq to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert Python’s Fraction to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert mpmath’s mpf to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert Python’s int to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert GMPY’s mpz to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert Python’s int to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s Integer to dtype.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Compute GCD of a and b.
    
 
    
 
 
    
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Compute extended GCD of a and b.
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Return the associated field of fractions QQ
    
 
    
 
    Returns:
    
@@ -2729,7 +2729,7 @@ 
    Abstract Domains
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Return True if a is a square.
    
 
    Explanation
    
 
    An integer is a square if and only if there exists an integer
@@ -2738,13 +2738,13 @@ 
    Abstract Domains
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Compute LCM of a and b.
    
 
    
 
 
    
 
    
-log(a, b)[source]
    
+log(a, b)[source]
 
    Logarithm of a to the base b.
    
 
    
 
    Parameters:
    
@@ -2773,13 +2773,13 @@ 
    Abstract Domains
 
    
-sqrt(a)[source]
    
+sqrt(a)[source]
 
    Compute square root of a.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -2787,7 +2787,7 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.PythonIntegerRing[source]
    
+class sympy.polys.domains.PythonIntegerRing[source]
 
    Integer ring based on Python’s int type.
    
 
    This will be used as ZZ if gmpy and gmpy2 are not
 installed. Elements are instances of the standard Python int type.
    
@@ -2795,97 +2795,97 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.GMPYIntegerRing[source]
    
+class sympy.polys.domains.GMPYIntegerRing[source]
 
    Integer ring based on GMPY’s mpz type.
    
 
    This will be the implementation of ZZ if gmpy or gmpy2 is
 installed. Elements will be of type gmpy.mpz.
    
 
    
 
    
-factorial(a)[source]
    
+factorial(a)[source]
 
    Compute factorial of a.
    
 
    
 
 
    
 
    
-from_FF_gmpy(a, K0)[source]
    
+from_FF_gmpy(a, K0)[source]
 
    Convert ModularInteger(mpz) to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_FF_python(a, K0)[source]
    
+from_FF_python(a, K0)[source]
 
    Convert ModularInteger(int) to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert Python’s Fraction to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert GMPY mpq to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert Python’s Fraction to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert mpmath’s mpf to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert GMPY’s mpz to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert Python’s int to GMPY’s mpz.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s Integer to dtype.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Compute GCD of a and b.
    
 
    
 
 
    
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Compute extended GCD of a and b.
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Compute LCM of a and b.
    
 
    
 
 
    
 
    
-sqrt(a)[source]
    
+sqrt(a)[source]
 
    Compute square root of a.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -2935,7 +2935,7 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.RationalField[source]
    
+class sympy.polys.domains.RationalField[source]
 
    Abstract base class for the domain QQ.
    
 
    The RationalField class represents the field of rational
 numbers \(\mathbb{Q}\) as a Domain in the domain system.
@@ -2956,7 +2956,7 @@ 
    Abstract Domainsalias=None,
    
 
    
 
-)[source]
+)[source]
 
    Returns an algebraic field, i.e. \(\mathbb{Q}(\alpha, \ldots)\).
    
 
    
 
    Parameters:
    
@@ -2988,25 +2988,25 @@ 
    Abstract Domains
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-div(a, b)[source]
    
+div(a, b)[source]
 
    Division of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-exquo(a, b)[source]
    
+exquo(a, b)[source]
 
    Exact quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Non-negative square root of a if a is a square.
    
 
    
 
    See also
    
@@ -3016,74 +3016,74 @@ 
    Abstract Domains
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert a ANP object to QQ.
    
 
    See convert()
    
 
    
 
 
    
 
    
-from_GaussianRationalField(a, K0)[source]
    
+from_GaussianRationalField(a, K0)[source]
 
    Convert a GaussianElement object to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s Integer to dtype.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns ring associated with self.
    
 
    
 
 
    
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Return True if a is a square.
    
 
    Explanation
    
 
    A rational number is a square if and only if there exists
@@ -3092,25 +3092,25 @@ 
    Abstract Domains
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-quo(a, b)[source]
    
+quo(a, b)[source]
 
    Quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-rem(a, b)[source]
    
+rem(a, b)[source]
 
    Remainder of a and b, implies nothing.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -3118,7 +3118,7 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.PythonRationalField[source]
    
+class sympy.polys.domains.PythonRationalField[source]
 
    Rational field based on MPQ.
    
 
    This will be used as QQ if gmpy and gmpy2 are not
 installed. Elements are instances of MPQ.
    
@@ -3126,31 +3126,31 @@ 
    Abstract Domains
 
    
-class sympy.polys.domains.GMPYRationalField[source]
    
+class sympy.polys.domains.GMPYRationalField[source]
 
    Rational field based on GMPY’s mpq type.
    
 
    This will be the implementation of QQ if gmpy or gmpy2 is
 installed. Elements will be of type gmpy.mpq.
    
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-div(a, b)[source]
    
+div(a, b)[source]
 
    Division of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-exquo(a, b)[source]
    
+exquo(a, b)[source]
 
    Exact quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-factorial(a)[source]
    
+factorial(a)[source]
 
    Returns factorial of a.
    
 
    
 
@@ -3163,73 +3163,73 @@ 
    Abstract DomainsK0,
    
 
    
 
-)[source]
+)[source]
 
    Convert a GaussianElement object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s Integer to dtype.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns ring associated with self.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-quo(a, b)[source]
    
+quo(a, b)[source]
 
    Quotient of a and b, implies __truediv__.
    
 
    
 
 
    
 
    
-rem(a, b)[source]
    
+rem(a, b)[source]
 
    Remainder of a and b, implies nothing.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -3237,7 +3237,7 @@ 
    Abstract Domains
 
    
-class sympy.external.pythonmpq.PythonMPQ(numerator, denominator=None)[source]
    
+class sympy.external.pythonmpq.PythonMPQ(numerator, denominator=None)[source]
 
    Rational number implementation that is intended to be compatible with
 gmpy2’s mpq.
    
 
    Also slightly faster than fractions.Fraction.
    
@@ -3258,89 +3258,89 @@ 
    Gaussian domainsGaussianDomain for the domains themselves.
    
 
    
 
    
-class sympy.polys.domains.gaussiandomains.GaussianDomain[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianDomain[source]
 
    Base class for Gaussian domains.
    
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert an element from ZZ<I> or QQ<I> to self.dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a GMPY mpq to self.dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq to self.dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a QQ_python element to self.dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a ZZ_python element to self.dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz to self.dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a ZZ_python element to self.dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert a SymPy object to self.dtype.
    
 
    
 
 
    
 
    
-inject(*gens)[source]
    
+inject(*gens)[source]
 
    Inject generators into this domain.
    
 
    
 
 
    
 
    
-is_negative(element)[source]
    
+is_negative(element)[source]
 
    Returns False for any GaussianElement.
    
 
    
 
 
    
 
    
-is_nonnegative(element)[source]
    
+is_nonnegative(element)[source]
 
    Returns False for any GaussianElement.
    
 
    
 
 
    
 
    
-is_nonpositive(element)[source]
    
+is_nonpositive(element)[source]
 
    Returns False for any GaussianElement.
    
 
    
 
 
    
 
    
-is_positive(element)[source]
    
+is_positive(element)[source]
 
    Returns False for any GaussianElement.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -3348,23 +3348,23 @@ 
    Gaussian domains
 
    
-class sympy.polys.domains.gaussiandomains.GaussianElement(x, y=0)[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianElement(x, y=0)[source]
 
    Base class for elements of Gaussian type domains.
    
 
    
 
    
-classmethod new(x, y)[source]
    
+classmethod new(x, y)[source]
 
    Create a new GaussianElement of the same domain.
    
 
    
 
 
    
 
    
-parent()[source]
    
+parent()[source]
 
    The domain that this is an element of (ZZ_I or QQ_I)
    
 
    
 
 
    
 
    
-quadrant()[source]
    
+quadrant()[source]
 
    Return quadrant index 0-3.
    
 
    0 is included in quadrant 0.
    
 
    
@@ -3376,7 +3376,7 @@ 
    Gaussian domains
    ZZ_I
    
 
    
 
    
-class sympy.polys.domains.gaussiandomains.GaussianIntegerRing[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianIntegerRing[source]
 
    Ring of Gaussian integers ZZ_I
    
 
    The ZZ_I domain represents the Gaussian integers \(\mathbb{Z}[i]\)
 as a Domain in the domain system (see
@@ -3472,7 +3472,7 @@ 
    Gaussian domains
 
    
-dtype[source]
    
+dtype[source]
 
    alias of GaussianInteger
    
 
    
 
@@ -3485,7 +3485,7 @@ 
    Gaussian domainsK0,
    
 
    
 
-)[source]
+)[source]
 
    Convert a ZZ_I element to ZZ_I.
    
 
    
 
@@ -3498,43 +3498,43 @@ 
    Gaussian domainsK0,
    
 
    
 
-)[source]
+)[source]
 
    Convert a QQ_I element to ZZ_I.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Greatest common divisor of a and b over ZZ_I.
    
 
    
 
 
    
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Return x, y, g such that x * a + y * b = g = gcd(a, b)
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Least common multiple of a and b over ZZ_I.
    
 
    
 
 
    
 
    
-normalize(d, *args)[source]
    
+normalize(d, *args)[source]
 
    Return first quadrant element associated with d.
    
 
    Also multiply the other arguments by the same power of i.
    
 
    
@@ -3543,7 +3543,7 @@ 
    Gaussian domains
 
    
-class sympy.polys.domains.gaussiandomains.GaussianInteger(x, y=0)[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianInteger(x, y=0)[source]
 
    Gaussian integer: domain element for ZZ_I
    
 
    >>> from sympy import ZZ_I
 >>> z = ZZ_I(2, 3)
@@ -3560,7 +3560,7 @@ 
    Gaussian domains
    QQ_I
    
 
    
 
    
-class sympy.polys.domains.gaussiandomains.GaussianRationalField[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianRationalField[source]
 
    Field of Gaussian rationals QQ_I
    
 
    The QQ_I domain represents the Gaussian rationals \(\mathbb{Q}(i)\)
 as a Domain in the domain system (see
@@ -3675,25 +3675,25 @@ 
    Gaussian domains
 
    
-as_AlgebraicField()[source]
    
+as_AlgebraicField()[source]
 
    Get equivalent domain as an AlgebraicField.
    
 
    
 
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Get the denominator of a.
    
 
    
 
 
    
 
    
-dtype[source]
    
+dtype[source]
 
    alias of GaussianRational
    
 
    
 
 
    
 
    
-from_ComplexField(a, K0)[source]
    
+from_ComplexField(a, K0)[source]
 
    Convert a ComplexField element to QQ_I.
    
 
    
 
@@ -3706,7 +3706,7 @@ 
    Gaussian domainsK0,
    
 
    
 
-)[source]
+)[source]
 
    Convert a ZZ_I element to QQ_I.
    
 
    
 
@@ -3719,25 +3719,25 @@ 
    Gaussian domainsK0,
    
 
    
 
-)[source]
+)[source]
 
    Convert a QQ_I element to QQ_I.
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Get the numerator of a.
    
 
    
 
@@ -3745,7 +3745,7 @@ 
    Gaussian domains
 
    
-class sympy.polys.domains.gaussiandomains.GaussianRational(x, y=0)[source]
    
+class sympy.polys.domains.gaussiandomains.GaussianRational(x, y=0)[source]
 
    Gaussian rational: domain element for QQ_I
    
 
    >>> from sympy import QQ_I, QQ
 >>> z = QQ_I(QQ(2, 3), QQ(4, 5))
@@ -3762,7 +3762,7 @@ 
    Gaussian domains
    QQ<a>
    
 
    
 
    
-class sympy.polys.domains.AlgebraicField(dom, *ext, alias=None)[source]
    
+class sympy.polys.domains.AlgebraicField(dom, *ext, alias=None)[source]
 
    Algebraic number field QQ<a>
    
 
    A QQ<a> domain represents an algebraic number field
 \(\mathbb{Q}(a)\) as a Domain in the domain system (see
@@ -3987,25 +3987,25 @@ 
    Gaussian domainsalias=None,
    
 
    
 
-)[source]
+)[source]
 
    Returns an algebraic field, i.e. \(\mathbb{Q}(\alpha, \ldots)\).
    
 
    
 
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-discriminant()[source]
    
+discriminant()[source]
 
    Get the discriminant of the field.
    
 
    
 
 
    
 
    
-dtype[source]
    
+dtype[source]
 
    alias of ANP
    
 
    
 
@@ -4023,67 +4023,67 @@ 
    Gaussian domains
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert AlgebraicField element ‘a’ to another AlgebraicField
    
 
    
 
 
    
 
    
-from_GaussianIntegerRing(a, K0)[source]
    
+from_GaussianIntegerRing(a, K0)[source]
 
    Convert a GaussianInteger element ‘a’ to dtype.
    
 
    
 
 
    
 
    
-from_GaussianRationalField(a, K0)[source]
    
+from_GaussianRationalField(a, K0)[source]
 
    Convert a GaussianRational element ‘a’ to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s expression to dtype.
    
 
    
 
@@ -4097,7 +4097,7 @@ 
    Gaussian domainsrandomize=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute the Galois group of the Galois closure of this field.
    
 
    Examples
    
 
    If the field is Galois, the order of the group will equal the degree
@@ -4127,13 +4127,13 @@ 
    Gaussian domains
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-integral_basis(fmt=None)[source]
    
+integral_basis(fmt=None)[source]
 
    Get an integral basis for the field.
    
 
    
 
    Parameters:
    
@@ -4178,31 +4178,31 @@ 
    Gaussian domains
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if a is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if a is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if a is non-positive.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if a is positive.
    
 
    
 
 
    
 
    
-maximal_order()[source]
    
+maximal_order()[source]
 
    Compute the maximal order, or ring of integers, of the field.
    
 
    
 
    Returns:
    
@@ -4229,7 +4229,7 @@ 
    Gaussian domains
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
@@ -4247,19 +4247,19 @@ 
    Gaussian domains
 
    
-primes_above(p)[source]
    
+primes_above(p)[source]
 
    Compute the prime ideals lying above a given rational prime p.
    
 
    
 
 
    
 
    
-to_alg_num(a)[source]
    
+to_alg_num(a)[source]
 
    Convert a of dtype to an AlgebraicNumber.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a of dtype to a SymPy object.
    
 
    
 
@@ -4270,17 +4270,17 @@ 
    Gaussian domains
    RR
    
 
    
 
    
-class sympy.polys.domains.RealField(prec=None, dps=None, tol=None)[source]
    
+class sympy.polys.domains.RealField(prec=None, dps=None, tol=None)[source]
 
    Real numbers up to the given precision.
    
 
    
 
    
-almosteq(a, b, tolerance=None)[source]
    
+almosteq(a, b, tolerance=None)[source]
 
    Check if a and b are almost equal.
    
 
    
 
 
    
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Non-negative square root for a >= 0 and None otherwise.
    
 
    Explanation
    
 
    The square root may be slightly inaccurate due to floating point
@@ -4289,49 +4289,49 @@ 
    Gaussian domains
 
    
-from_sympy(expr)[source]
    
+from_sympy(expr)[source]
 
    Convert SymPy’s number to dtype.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Returns GCD of a and b.
    
 
    
 
 
    
 
    
-get_exact()[source]
    
+get_exact()[source]
 
    Returns an exact domain associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Returns True if a >= 0 and False otherwise.
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Returns LCM of a and b.
    
 
    
 
 
    
 
    
-to_rational(element, limit=True)[source]
    
+to_rational(element, limit=True)[source]
 
    Convert a real number to rational number.
    
 
    
 
 
    
 
    
-to_sympy(element)[source]
    
+to_sympy(element)[source]
 
    Convert element to SymPy number.
    
 
    
 
@@ -4342,17 +4342,17 @@ 
    Gaussian domains
    CC
    
 
    
 
    
-class sympy.polys.domains.ComplexField(prec=None, dps=None, tol=None)[source]
    
+class sympy.polys.domains.ComplexField(prec=None, dps=None, tol=None)[source]
 
    Complex numbers up to the given precision.
    
 
    
 
    
-almosteq(a, b, tolerance=None)[source]
    
+almosteq(a, b, tolerance=None)[source]
 
    Check if a and b are almost equal.
    
 
    
 
 
    
 
    
-exsqrt(a)[source]
    
+exsqrt(a)[source]
 
    Returns the principal complex square root of a.
    
 
    Explanation
    
 
    The argument of the principal square root is always within
@@ -4362,67 +4362,67 @@ 
    Gaussian domains
 
    
-from_sympy(expr)[source]
    
+from_sympy(expr)[source]
 
    Convert SymPy’s number to dtype.
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Returns GCD of a and b.
    
 
    
 
 
    
 
    
-get_exact()[source]
    
+get_exact()[source]
 
    Returns an exact domain associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-is_negative(element)[source]
    
+is_negative(element)[source]
 
    Returns False for any ComplexElement.
    
 
    
 
 
    
 
    
-is_nonnegative(element)[source]
    
+is_nonnegative(element)[source]
 
    Returns False for any ComplexElement.
    
 
    
 
 
    
 
    
-is_nonpositive(element)[source]
    
+is_nonpositive(element)[source]
 
    Returns False for any ComplexElement.
    
 
    
 
 
    
 
    
-is_positive(element)[source]
    
+is_positive(element)[source]
 
    Returns False for any ComplexElement.
    
 
    
 
 
    
 
    
-is_square(a)[source]
    
+is_square(a)[source]
 
    Returns True. Every complex number has a complex square root.
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Returns LCM of a and b.
    
 
    
 
 
    
 
    
-to_sympy(element)[source]
    
+to_sympy(element)[source]
 
    Convert element to SymPy number.
    
 
    
 
@@ -4441,161 +4441,161 @@ 
    Gaussian domainsorder=None,
    
 
    
 
-)[source]
+)[source]
 
    A class for representing multivariate polynomial rings.
    
 
    
 
    
-factorial(a)[source]
    
+factorial(a)[source]
 
    Returns factorial of \(a\).
    
 
    
 
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert an algebraic number to dtype.
    
 
    
 
 
    
 
    
-from_ComplexField(a, K0)[source]
    
+from_ComplexField(a, K0)[source]
 
    Convert a mpmath \(mpf\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_FractionField(a, K0)[source]
    
+from_FractionField(a, K0)[source]
 
    Convert a rational function to dtype.
    
 
    
 
 
    
 
    
-from_GaussianIntegerRing(a, K0)[source]
    
+from_GaussianIntegerRing(a, K0)[source]
 
    Convert a \(GaussianInteger\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_GaussianRationalField(a, K0)[source]
    
+from_GaussianRationalField(a, K0)[source]
 
    Convert a \(GaussianRational\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_GlobalPolynomialRing(a, K0)[source]
    
+from_GlobalPolynomialRing(a, K0)[source]
 
    Convert from old poly ring to dtype.
    
 
    
 
 
    
 
    
-from_PolynomialRing(a, K0)[source]
    
+from_PolynomialRing(a, K0)[source]
 
    Convert a polynomial to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a Python \(Fraction\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY \(mpq\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python \(Fraction\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath \(mpf\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a Python \(int\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY \(mpz\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python \(int\) object to \(dtype\).
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s expression to \(dtype\).
    
 
    
 
 
    
 
    
-gcd(a, b)[source]
    
+gcd(a, b)[source]
 
    Returns GCD of \(a\) and \(b\).
    
 
    
 
 
    
 
    
-gcdex(a, b)[source]
    
+gcdex(a, b)[source]
 
    Extended GCD of \(a\) and \(b\).
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with \(self\).
    
 
    
 
 
    
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if \(LC(a)\) is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if \(LC(a)\) is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if \(LC(a)\) is non-positive.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if \(LC(a)\) is positive.
    
 
    
 
 
    
 
    
-is_unit(a)[source]
    
+is_unit(a)[source]
 
    Returns True if a is a unit of self
    
 
    
 
 
    
 
    
-lcm(a, b)[source]
    
+lcm(a, b)[source]
 
    Returns LCM of \(a\) and \(b\).
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert \(a\) to a SymPy object.
    
 
    
 
@@ -4614,143 +4614,143 @@ 
    Gaussian domainsorder=None,
    
 
    
 
-)[source]
+)[source]
 
    A class for representing multivariate rational function fields.
    
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-factorial(a)[source]
    
+factorial(a)[source]
 
    Returns factorial of a.
    
 
    
 
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert an algebraic number to dtype.
    
 
    
 
 
    
 
    
-from_ComplexField(a, K0)[source]
    
+from_ComplexField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_FractionField(a, K0)[source]
    
+from_FractionField(a, K0)[source]
 
    Convert a rational function to dtype.
    
 
    
 
 
    
 
    
-from_GaussianIntegerRing(a, K0)[source]
    
+from_GaussianIntegerRing(a, K0)[source]
 
    Convert a GaussianInteger object to dtype.
    
 
    
 
 
    
 
    
-from_GaussianRationalField(a, K0)[source]
    
+from_GaussianRationalField(a, K0)[source]
 
    Convert a GaussianRational object to dtype.
    
 
    
 
 
    
 
    
-from_PolynomialRing(a, K0)[source]
    
+from_PolynomialRing(a, K0)[source]
 
    Convert a polynomial to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s expression to dtype.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if LC(a) is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if LC(a) is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if LC(a) is non-positive.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if LC(a) is positive.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -4761,161 +4761,161 @@ 
    Gaussian domains
    EX
    
 
    
 
    
-class sympy.polys.domains.ExpressionDomain[source]
    
+class sympy.polys.domains.ExpressionDomain[source]
 
    A class for arbitrary expressions.
    
 
    
 
    
-class Expression(ex)[source]
    
+class Expression(ex)[source]
 
    An arbitrary expression.
    
 
    
 
 
    
 
    
-denom(a)[source]
    
+denom(a)[source]
 
    Returns denominator of a.
    
 
    
 
 
    
 
    
-dtype[source]
    
+dtype[source]
 
    alias of Expression
    
 
    
 
 
    
 
    
-from_AlgebraicField(a, K0)[source]
    
+from_AlgebraicField(a, K0)[source]
 
    Convert an ANP object to dtype.
    
 
    
 
 
    
 
    
-from_ComplexField(a, K0)[source]
    
+from_ComplexField(a, K0)[source]
 
    Convert a mpmath mpc object to dtype.
    
 
    
 
 
    
 
    
-from_ExpressionDomain(a, K0)[source]
    
+from_ExpressionDomain(a, K0)[source]
 
    Convert a EX object to dtype.
    
 
    
 
 
    
 
    
-from_FractionField(a, K0)[source]
    
+from_FractionField(a, K0)[source]
 
    Convert a DMF object to dtype.
    
 
    
 
 
    
 
    
-from_GaussianIntegerRing(a, K0)[source]
    
+from_GaussianIntegerRing(a, K0)[source]
 
    Convert a GaussianRational object to dtype.
    
 
    
 
 
    
 
    
-from_GaussianRationalField(a, K0)[source]
    
+from_GaussianRationalField(a, K0)[source]
 
    Convert a GaussianRational object to dtype.
    
 
    
 
 
    
 
    
-from_PolynomialRing(a, K0)[source]
    
+from_PolynomialRing(a, K0)[source]
 
    Convert a DMP object to dtype.
    
 
    
 
 
    
 
    
-from_QQ(a, K0)[source]
    
+from_QQ(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_gmpy(a, K0)[source]
    
+from_QQ_gmpy(a, K0)[source]
 
    Convert a GMPY mpq object to dtype.
    
 
    
 
 
    
 
    
-from_QQ_python(a, K0)[source]
    
+from_QQ_python(a, K0)[source]
 
    Convert a Python Fraction object to dtype.
    
 
    
 
 
    
 
    
-from_RealField(a, K0)[source]
    
+from_RealField(a, K0)[source]
 
    Convert a mpmath mpf object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ(a, K0)[source]
    
+from_ZZ(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_gmpy(a, K0)[source]
    
+from_ZZ_gmpy(a, K0)[source]
 
    Convert a GMPY mpz object to dtype.
    
 
    
 
 
    
 
    
-from_ZZ_python(a, K0)[source]
    
+from_ZZ_python(a, K0)[source]
 
    Convert a Python int object to dtype.
    
 
    
 
 
    
 
    
-from_sympy(a)[source]
    
+from_sympy(a)[source]
 
    Convert SymPy’s expression to dtype.
    
 
    
 
 
    
 
    
-get_field()[source]
    
+get_field()[source]
 
    Returns a field associated with self.
    
 
    
 
 
    
 
    
-get_ring()[source]
    
+get_ring()[source]
 
    Returns a ring associated with self.
    
 
    
 
 
    
 
    
-is_negative(a)[source]
    
+is_negative(a)[source]
 
    Returns True if a is negative.
    
 
    
 
 
    
 
    
-is_nonnegative(a)[source]
    
+is_nonnegative(a)[source]
 
    Returns True if a is non-negative.
    
 
    
 
 
    
 
    
-is_nonpositive(a)[source]
    
+is_nonpositive(a)[source]
 
    Returns True if a is non-positive.
    
 
    
 
 
    
 
    
-is_positive(a)[source]
    
+is_positive(a)[source]
 
    Returns True if a is positive.
    
 
    
 
 
    
 
    
-numer(a)[source]
    
+numer(a)[source]
 
    Returns numerator of a.
    
 
    
 
 
    
 
    
-to_sympy(a)[source]
    
+to_sympy(a)[source]
 
    Convert a to a SymPy object.
    
 
    
 
@@ -4923,7 +4923,7 @@ 
    Gaussian domains
 
    
-class ExpressionDomain.Expression(ex)[source]
    
+class ExpressionDomain.Expression(ex)[source]
 
    An arbitrary expression.
    
 
    
 
@@ -4932,7 +4932,7 @@ 
    Gaussian domains
    
 
    
 
    
-class sympy.polys.domains.quotientring.QuotientRing(ring, ideal)[source]
    
+class sympy.polys.domains.quotientring.QuotientRing(ring, ideal)[source]
 
    Class representing (commutative) quotient rings.
    
 
    You should not usually instantiate this by hand, instead use the constructor
 from the base ring in the construction.
    
@@ -4965,7 +4965,7 @@ 
    Sparse polynomials
 
    
-sympy.polys.rings.ring(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.rings.ring(symbols, domain, order=LexOrder())[source]
 
    Construct a polynomial ring returning (ring, x_1, ..., x_n).
    
 
    
 
    Parameters:
    
@@ -4996,7 +4996,7 @@ 
    Sparse polynomials
 
    
-sympy.polys.rings.xring(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.rings.xring(symbols, domain, order=LexOrder())[source]
 
    Construct a polynomial ring returning (ring, (x_1, ..., x_n)).
    
 
    
 
    Parameters:
    
@@ -5027,7 +5027,7 @@ 
    Sparse polynomials
 
    
-sympy.polys.rings.vring(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.rings.vring(symbols, domain, order=LexOrder())[source]
 
    Construct a polynomial ring and inject x_1, ..., x_n into the global namespace.
    
 
    
 
    Parameters:
    
@@ -5057,7 +5057,7 @@ 
    Sparse polynomials
 
    
-sympy.polys.rings.sring(exprs, *symbols, **options)[source]
    
+sympy.polys.rings.sring(exprs, *symbols, **options)[source]
 
    Construct a ring deriving generators and domain from options and input expressions.
    
 
    
 
    Parameters:
    
@@ -5084,11 +5084,11 @@ 
    Sparse polynomials
 
    
-class sympy.polys.rings.PolyRing(symbols, domain, order=LexOrder())[source]
    
+class sympy.polys.rings.PolyRing(symbols, domain, order=LexOrder())[source]
 
    Multivariate distributed polynomial ring.
    
 
    
 
    
-add(*objs)[source]
    
+add(*objs)[source]
 
    Add a sequence of polynomials or containers of polynomials.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5106,44 +5106,44 @@ 
    Sparse polynomials
 
    
-add_gens(symbols)[source]
    
+add_gens(symbols)[source]
 
    Add the elements of symbols as generators to self
    
 
    
 
 
    
 
    
-compose(other)[source]
    
+compose(other)[source]
 
    Add the generators of other to self
    
 
    
 
 
    
 
    
-drop(*gens)[source]
    
+drop(*gens)[source]
 
    Remove specified generators from this ring.
    
 
    
 
 
    
 
    
-drop_to_ground(*gens)[source]
    
+drop_to_ground(*gens)[source]
 
    Remove specified generators from the ring and inject them into
 its domain.
    
 
    
 
 
    
 
    
-index(gen)[source]
    
+index(gen)[source]
 
    Compute index of gen in self.gens.
    
 
    
 
 
    
 
    
-monomial_basis(i)[source]
    
+monomial_basis(i)[source]
 
    Return the ith-basis element.
    
 
    
 
 
    
 
    
-mul(*objs)[source]
    
+mul(*objs)[source]
 
    Multiply a sequence of polynomials or containers of polynomials.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5161,7 +5161,7 @@ 
    Sparse polynomials
 
    
-symmetric_poly(n)[source]
    
+symmetric_poly(n)[source]
 
    Return the elementary symmetric polynomial of degree n over
 this ring’s generators.
    
 
    
@@ -5170,17 +5170,17 @@ 
    Sparse polynomials
 
    
-class sympy.polys.rings.PolyElement[source]
    
+class sympy.polys.rings.PolyElement[source]
 
    Element of multivariate distributed polynomial ring.
    
 
    
 
    
-almosteq(p2, tolerance=None)[source]
    
+almosteq(p2, tolerance=None)[source]
 
    Approximate equality test for polynomials.
    
 
    
 
 
    
 
    
-cancel(g)[source]
    
+cancel(g)[source]
 
    Cancel common factors in a rational function f/g.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5195,7 +5195,7 @@ 
    Sparse polynomials
 
    
-coeff(element)[source]
    
+coeff(element)[source]
 
    Returns the coefficient that stands next to the given monomial.
    
 
    
 
    Parameters:
    
@@ -5223,7 +5223,7 @@ 
    Sparse polynomials
 
    
-coeff_wrt(x, deg)[source]
    
+coeff_wrt(x, deg)[source]
 
    Coefficient of self with respect to x**deg.
    
 
    Treating self as a univariate polynomial in x this finds the
 coefficient of x**deg as a polynomial in the other generators.
    
@@ -5268,7 +5268,7 @@ 
    Sparse polynomials
 
    
-coeffs(order=None)[source]
    
+coeffs(order=None)[source]
 
    Ordered list of polynomial coefficients.
    
 
    
 
    Parameters:
    
@@ -5295,19 +5295,19 @@ 
    Sparse polynomials
 
    
-const()[source]
    
+const()[source]
 
    Returns the constant coefficient.
    
 
    
 
 
    
 
    
-content()[source]
    
+content()[source]
 
    Returns GCD of polynomial’s coefficients.
    
 
    
 
 
    
 
    
-copy()[source]
    
+copy()[source]
 
    Return a copy of polynomial self.
    
 
    Polynomials are mutable; if one is interested in preserving
 a polynomial, and one plans to use inplace operations, one
@@ -5334,21 +5334,21 @@ 
    Sparse polynomials
 
    
-degree(x=None)[source]
    
+degree(x=None)[source]
 
    The leading degree in x or the main variable.
    
 
    Note that the degree of 0 is negative infinity (float('-inf'))
    
 
    
 
 
    
 
    
-degrees()[source]
    
+degrees()[source]
 
    A tuple containing leading degrees in all variables.
    
 
    Note that the degree of 0 is negative infinity (float('-inf'))
    
 
    
 
 
    
 
    
-diff(x)[source]
    
+diff(x)[source]
 
    Computes partial derivative in x.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5365,7 +5365,7 @@ 
    Sparse polynomials
 
    
-div(fv)[source]
    
+div(fv)[source]
 
    Division algorithm, see [CLO] p64.
    
 
    
 
    fv array of polynomials
    return qv, r such that
@@ -5395,7 +5395,7 @@ 
    Sparse polynomials
 
    
-imul_num(c)[source]
    
+imul_num(c)[source]
 
    multiply inplace the polynomial p by an element in the
 coefficient ring, provided p is not one of the generators;
 else multiply not inplace
    
@@ -5423,25 +5423,25 @@ 
    Sparse polynomials
 
    
-itercoeffs()[source]
    
+itercoeffs()[source]
 
    Iterator over coefficients of a polynomial.
    
 
    
 
 
    
 
    
-itermonoms()[source]
    
+itermonoms()[source]
 
    Iterator over monomials of a polynomial.
    
 
    
 
 
    
 
    
-iterterms()[source]
    
+iterterms()[source]
 
    Iterator over terms of a polynomial.
    
 
    
 
 
    
 
    
-leading_expv()[source]
    
+leading_expv()[source]
 
    Leading monomial tuple according to the monomial ordering.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5458,7 +5458,7 @@ 
    Sparse polynomials
 
    
-leading_monom()[source]
    
+leading_monom()[source]
 
    Leading monomial as a polynomial element.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5474,7 +5474,7 @@ 
    Sparse polynomials
 
    
-leading_term()[source]
    
+leading_term()[source]
 
    Leading term as a polynomial element.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5490,31 +5490,31 @@ 
    Sparse polynomials
 
    
-listcoeffs()[source]
    
+listcoeffs()[source]
 
    Unordered list of polynomial coefficients.
    
 
    
 
 
    
 
    
-listmonoms()[source]
    
+listmonoms()[source]
 
    Unordered list of polynomial monomials.
    
 
    
 
 
    
 
    
-listterms()[source]
    
+listterms()[source]
 
    Unordered list of polynomial terms.
    
 
    
 
 
    
 
    
-monic()[source]
    
+monic()[source]
 
    Divides all coefficients by the leading coefficient.
    
 
    
 
 
    
 
    
-monoms(order=None)[source]
    
+monoms(order=None)[source]
 
    Ordered list of polynomial monomials.
    
 
    
 
    Parameters:
    
@@ -5541,7 +5541,7 @@ 
    Sparse polynomials
 
    
-pdiv(g, x=None)[source]
    
+pdiv(g, x=None)[source]
 
    Computes the pseudo-division of the polynomial self with respect to g.
    
 
    The pseudo-division algorithm is used to find the pseudo-quotient q
 and pseudo-remainder r such that m*f = g*q + r, where m
@@ -5618,7 +5618,7 @@ 
    Sparse polynomials
 
    
-pexquo(g, x=None)[source]
    
+pexquo(g, x=None)[source]
 
    Polynomial exact pseudo-quotient in multivariate polynomial ring.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5648,7 +5648,7 @@ 
    Sparse polynomials
 
    
-pquo(g, x=None)[source]
    
+pquo(g, x=None)[source]
 
    Polynomial pseudo-quotient in multivariate polynomial ring.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5676,7 +5676,7 @@ 
    Sparse polynomials
 
    
-prem(g, x=None)[source]
    
+prem(g, x=None)[source]
 
    Pseudo-remainder of the polynomial self with respect to g.
    
 
    The pseudo-quotient q and pseudo-remainder r with respect to
 z when dividing f by g satisfy m*f = g*q + r,
@@ -5729,13 +5729,13 @@ 
    Sparse polynomials
 
    
-primitive()[source]
    
+primitive()[source]
 
    Returns content and a primitive polynomial.
    
 
    
 
 
    
 
    
-square()[source]
    
+square()[source]
 
    square of a polynomial
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -5752,13 +5752,13 @@ 
    Sparse polynomials
 
    
-strip_zero()[source]
    
+strip_zero()[source]
 
    Eliminate monomials with zero coefficient.
    
 
    
 
 
    
 
    
-subresultants(g, x=None)[source]
    
+subresultants(g, x=None)[source]
 
    Computes the subresultant PRS of two polynomials self and g.
    
 
    
 
    Parameters:
    
@@ -5797,7 +5797,7 @@ 
    Sparse polynomials
 
    
-symmetrize()[source]
    
+symmetrize()[source]
 
    Rewrite self in terms of elementary symmetric polynomials.
    
 
    
 
    Returns:
    
@@ -5855,21 +5855,21 @@ 
    Sparse polynomials
 
    
-tail_degree(x=None)[source]
    
+tail_degree(x=None)[source]
 
    The tail degree in x or the main variable.
    
 
    Note that the degree of 0 is negative infinity (float('-inf'))
    
 
    
 
 
    
 
    
-tail_degrees()[source]
    
+tail_degrees()[source]
 
    A tuple containing tail degrees in all variables.
    
 
    Note that the degree of 0 is negative infinity (float('-inf'))
    
 
    
 
 
    
 
    
-terms(order=None)[source]
    
+terms(order=None)[source]
 
    Ordered list of polynomial terms.
    
 
    
 
    Parameters:
    
@@ -5902,25 +5902,25 @@ 
    Sparse rational functions
 
    
-sympy.polys.fields.field(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.fields.field(symbols, domain, order=LexOrder())[source]
 
    Construct new rational function field returning (field, x1, …, xn).
    
 
    
 
 
    
 
    
-sympy.polys.fields.xfield(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.fields.xfield(symbols, domain, order=LexOrder())[source]
 
    Construct new rational function field returning (field, (x1, …, xn)).
    
 
    
 
 
    
 
    
-sympy.polys.fields.vfield(symbols, domain, order=LexOrder())[source]
    
+sympy.polys.fields.vfield(symbols, domain, order=LexOrder())[source]
 
    Construct new rational function field and inject generators into global namespace.
    
 
    
 
 
    
 
    
-sympy.polys.fields.sfield(exprs, *symbols, **options)[source]
    
+sympy.polys.fields.sfield(exprs, *symbols, **options)[source]
 
    Construct a field deriving generators and domain
 from options and input expressions.
    
 
    
@@ -5946,17 +5946,17 @@ 
    Sparse rational functions
 
    
-class sympy.polys.fields.FracField(symbols, domain, order=LexOrder())[source]
    
+class sympy.polys.fields.FracField(symbols, domain, order=LexOrder())[source]
 
    Multivariate distributed rational function field.
    
 
    
 
 
    
 
    
-class sympy.polys.fields.FracElement(numer, denom=None)[source]
    
+class sympy.polys.fields.FracElement(numer, denom=None)[source]
 
    Element of multivariate distributed rational function field.
    
 
    
 
    
-diff(x)[source]
    
+diff(x)[source]
 
    Computes partial derivative in x.
    
 
    Examples
    
 
    >>> from sympy.polys.fields import field
@@ -5977,179 +5977,179 @@ 
    Sparse rational functions
    
 
    
 
    
-class sympy.polys.polyclasses.DMP(rep, dom, lev=None)[source]
    
+class sympy.polys.polyclasses.DMP(rep, dom, lev=None)[source]
 
    Dense Multivariate Polynomials over \(K\).
    
 
    
 
    
-LC()[source]
    
+LC()[source]
 
    Returns the leading coefficient of f.
    
 
    
 
 
    
 
    
-TC()[source]
    
+TC()[source]
 
    Returns the trailing coefficient of f.
    
 
    
 
 
    
 
    
-abs()[source]
    
+abs()[source]
 
    Make all coefficients in f positive.
    
 
    
 
 
    
 
    
-add(g)[source]
    
+add(g)[source]
 
    Add two multivariate polynomials f and g.
    
 
    
 
 
    
 
    
-add_ground(c)[source]
    
+add_ground(c)[source]
 
    Add an element of the ground domain to f.
    
 
    
 
 
    
 
    
-all_coeffs()[source]
    
+all_coeffs()[source]
 
    Returns all coefficients from f.
    
 
    
 
 
    
 
    
-all_monoms()[source]
    
+all_monoms()[source]
 
    Returns all monomials from f.
    
 
    
 
 
    
 
    
-all_terms()[source]
    
+all_terms()[source]
 
    Returns all terms from a f.
    
 
    
 
 
    
 
    
-cancel(g, include=True)[source]
    
+cancel(g, include=True)[source]
 
    Cancel common factors in a rational function f/g.
    
 
    
 
 
    
 
    
-cauchy_lower_bound()[source]
    
+cauchy_lower_bound()[source]
 
    Computes the Cauchy lower bound on the nonzero roots of f.
    
 
    
 
 
    
 
    
-cauchy_upper_bound()[source]
    
+cauchy_upper_bound()[source]
 
    Computes the Cauchy upper bound on the roots of f.
    
 
    
 
 
    
 
    
-clear_denoms()[source]
    
+clear_denoms()[source]
 
    Clear denominators, but keep the ground domain.
    
 
    
 
 
    
 
    
-coeffs(order=None)[source]
    
+coeffs(order=None)[source]
 
    Returns all non-zero coefficients from f in lex order.
    
 
    
 
 
    
 
    
-cofactors(g)[source]
    
+cofactors(g)[source]
 
    Returns GCD of f and g and their cofactors.
    
 
    
 
 
    
 
    
-compose(g)[source]
    
+compose(g)[source]
 
    Computes functional composition of f and g.
    
 
    
 
 
    
 
    
-content()[source]
    
+content()[source]
 
    Returns GCD of polynomial coefficients.
    
 
    
 
 
    
 
    
-convert(dom)[source]
    
+convert(dom)[source]
 
    Convert f to a DMP over the new domain.
    
 
    
 
 
    
 
    
-count_complex_roots(inf=None, sup=None)[source]
    
+count_complex_roots(inf=None, sup=None)[source]
 
    Return the number of complex roots of f in [inf, sup].
    
 
    
 
 
    
 
    
-count_real_roots(inf=None, sup=None)[source]
    
+count_real_roots(inf=None, sup=None)[source]
 
    Return the number of real roots of f in [inf, sup].
    
 
    
 
 
    
 
    
-decompose()[source]
    
+decompose()[source]
 
    Computes functional decomposition of f.
    
 
    
 
 
    
 
    
-deflate()[source]
    
+deflate()[source]
 
    Reduce degree of \(f\) by mapping \(x_i^m\) to \(y_i\).
    
 
    
 
 
    
 
    
-degree(j=0)[source]
    
+degree(j=0)[source]
 
    Returns the leading degree of f in x_j.
    
 
    
 
 
    
 
    
-degree_list()[source]
    
+degree_list()[source]
 
    Returns a list of degrees of f.
    
 
    
 
 
    
 
    
-diff(m=1, j=0)[source]
    
+diff(m=1, j=0)[source]
 
    Computes the m-th order derivative of f in x_j.
    
 
    
 
 
    
 
    
-discriminant()[source]
    
+discriminant()[source]
 
    Computes discriminant of f.
    
 
    
 
 
    
 
    
-div(g)[source]
    
+div(g)[source]
 
    Polynomial division with remainder of f and g.
    
 
    
 
 
    
 
    
-eject(dom, front=False)[source]
    
+eject(dom, front=False)[source]
 
    Eject selected generators into the ground domain.
    
 
    
 
 
    
 
    
-eval(a, j=0)[source]
    
+eval(a, j=0)[source]
 
    Evaluates f at the given point a in x_j.
    
 
    
 
 
    
 
    
-exclude()[source]
    
+exclude()[source]
 
    Remove useless generators from f.
    
 
    Returns the removed generators and the new excluded f.
    
 
    Examples
    
@@ -6165,91 +6165,91 @@ 
    Dense polynomials
 
    
-exquo(g)[source]
    
+exquo(g)[source]
 
    Computes polynomial exact quotient of f and g.
    
 
    
 
 
    
 
    
-exquo_ground(c)[source]
    
+exquo_ground(c)[source]
 
    Exact quotient of f by a an element of the ground domain.
    
 
    
 
 
    
 
    
-factor_list()[source]
    
+factor_list()[source]
 
    Returns a list of irreducible factors of f.
    
 
    
 
 
    
 
    
-factor_list_include()[source]
    
+factor_list_include()[source]
 
    Returns a list of irreducible factors of f.
    
 
    
 
 
    
 
    
-classmethod from_list(rep, lev, dom)[source]
    
+classmethod from_list(rep, lev, dom)[source]
 
    Create an instance of cls given a list of native coefficients.
    
 
    
 
 
    
 
    
-classmethod from_sympy_list(rep, lev, dom)[source]
    
+classmethod from_sympy_list(rep, lev, dom)[source]
 
    Create an instance of cls given a list of SymPy coefficients.
    
 
    
 
 
    
 
    
-gcd(g)[source]
    
+gcd(g)[source]
 
    Returns polynomial GCD of f and g.
    
 
    
 
 
    
 
    
-gcdex(g)[source]
    
+gcdex(g)[source]
 
    Extended Euclidean algorithm, if univariate.
    
 
    
 
 
    
 
    
-gff_list()[source]
    
+gff_list()[source]
 
    Computes greatest factorial factorization of f.
    
 
    
 
 
    
 
    
-ground_new(coeff)[source]
    
+ground_new(coeff)[source]
 
    Construct a new ground instance of f.
    
 
    
 
 
    
 
    
-half_gcdex(g)[source]
    
+half_gcdex(g)[source]
 
    Half extended Euclidean algorithm, if univariate.
    
 
    
 
 
    
 
    
-homogeneous_order()[source]
    
+homogeneous_order()[source]
 
    Returns the homogeneous order of f.
    
 
    
 
 
    
 
    
-homogenize(s)[source]
    
+homogenize(s)[source]
 
    Return homogeneous polynomial of f
    
 
    
 
 
    
 
    
-inject(front=False)[source]
    
+inject(front=False)[source]
 
    Inject ground domain generators into f.
    
 
    
 
 
    
 
    
-integrate(m=1, j=0)[source]
    
+integrate(m=1, j=0)[source]
 
    Computes the m-th order indefinite integral of f in x_j.
    
 
    
 
@@ -6266,13 +6266,13 @@ 
    Dense polynomialssqf=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute isolating intervals for roots of f.
    
 
    
 
 
    
 
    
-invert(g)[source]
    
+invert(g)[source]
 
    Invert f modulo g, if possible.
    
 
    
 
@@ -6350,91 +6350,91 @@ 
    Dense polynomials
 
    
-l1_norm()[source]
    
+l1_norm()[source]
 
    Returns l1 norm of f.
    
 
    
 
 
    
 
    
-l2_norm_squared()[source]
    
+l2_norm_squared()[source]
 
    Return squared l2 norm of f.
    
 
    
 
 
    
 
    
-lcm(g)[source]
    
+lcm(g)[source]
 
    Returns polynomial LCM of f and g.
    
 
    
 
 
    
 
    
-lift()[source]
    
+lift()[source]
 
    Convert algebraic coefficients to rationals.
    
 
    
 
 
    
 
    
-max_norm()[source]
    
+max_norm()[source]
 
    Returns maximum norm of f.
    
 
    
 
 
    
 
    
-mignotte_sep_bound_squared()[source]
    
+mignotte_sep_bound_squared()[source]
 
    Computes the squared Mignotte bound on root separations of f.
    
 
    
 
 
    
 
    
-monic()[source]
    
+monic()[source]
 
    Divides all coefficients by LC(f).
    
 
    
 
 
    
 
    
-monoms(order=None)[source]
    
+monoms(order=None)[source]
 
    Returns all non-zero monomials from f in lex order.
    
 
    
 
 
    
 
    
-mul(g)[source]
    
+mul(g)[source]
 
    Multiply two multivariate polynomials f and g.
    
 
    
 
 
    
 
    
-mul_ground(c)[source]
    
+mul_ground(c)[source]
 
    Multiply f by a an element of the ground domain.
    
 
    
 
 
    
 
    
-neg()[source]
    
+neg()[source]
 
    Negate all coefficients in f.
    
 
    
 
 
    
 
    
-norm()[source]
    
+norm()[source]
 
    Computes Norm(f).
    
 
    
 
 
    
 
    
-nth(*N)[source]
    
+nth(*N)[source]
 
    Returns the n-th coefficient of f.
    
 
    
 
 
    
 
    
-pdiv(g)[source]
    
+pdiv(g)[source]
 
    Polynomial pseudo-division of f and g.
    
 
    
 
 
    
 
    
-permute(P)[source]
    
+permute(P)[source]
 
    Returns a polynomial in \(K[x_{P(1)}, ..., x_{P(n)}]\).
    
 
    Examples
    
 
    >>> from sympy.polys.polyclasses import DMP
@@ -6453,43 +6453,43 @@ 
    Dense polynomials
 
    
-pexquo(g)[source]
    
+pexquo(g)[source]
 
    Polynomial exact pseudo-quotient of f and g.
    
 
    
 
 
    
 
    
-pow(n)[source]
    
+pow(n)[source]
 
    Raise f to a non-negative power n.
    
 
    
 
 
    
 
    
-pquo(g)[source]
    
+pquo(g)[source]
 
    Polynomial pseudo-quotient of f and g.
    
 
    
 
 
    
 
    
-prem(g)[source]
    
+prem(g)[source]
 
    Polynomial pseudo-remainder of f and g.
    
 
    
 
 
    
 
    
-primitive()[source]
    
+primitive()[source]
 
    Returns content and a primitive form of f.
    
 
    
 
 
    
 
    
-quo(g)[source]
    
+quo(g)[source]
 
    Computes polynomial quotient of f and g.
    
 
    
 
 
    
 
    
-quo_ground(c)[source]
    
+quo_ground(c)[source]
 
    Quotient of f by a an element of the ground domain.
    
 
    
 
@@ -6505,14 +6505,14 @@ 
    Dense polynomialsfast=False,
    
 
    
 
-)[source]
+)[source]
 
    Refine an isolating interval to the given precision.
    
 
    eps should be a rational number.
    
 
    
 
 
    
 
    
-rem(g)[source]
    
+rem(g)[source]
 
    Computes polynomial remainder of f and g.
    
 
    
 
@@ -6524,103 +6524,103 @@ 
    Dense polynomials
 
    
-resultant(g, includePRS=False)[source]
    
+resultant(g, includePRS=False)[source]
 
    Computes resultant of f and g via PRS.
    
 
    
 
 
    
 
    
-revert(n)[source]
    
+revert(n)[source]
 
    Compute f**(-1) mod x**n.
    
 
    
 
 
    
 
    
-shift(a)[source]
    
+shift(a)[source]
 
    Efficiently compute Taylor shift f(x + a).
    
 
    
 
 
    
 
    
-shift_list(a)[source]
    
+shift_list(a)[source]
 
    Efficiently compute Taylor shift f(X + A).
    
 
    
 
 
    
 
    
-slice(m, n, j=0)[source]
    
+slice(m, n, j=0)[source]
 
    Take a continuous subsequence of terms of f.
    
 
    
 
 
    
 
    
-sqf_list(all=False)[source]
    
+sqf_list(all=False)[source]
 
    Returns a list of square-free factors of f.
    
 
    
 
 
    
 
    
-sqf_list_include(all=False)[source]
    
+sqf_list_include(all=False)[source]
 
    Returns a list of square-free factors of f.
    
 
    
 
 
    
 
    
-sqf_norm()[source]
    
+sqf_norm()[source]
 
    Computes square-free norm of f.
    
 
    
 
 
    
 
    
-sqf_part()[source]
    
+sqf_part()[source]
 
    Computes square-free part of f.
    
 
    
 
 
    
 
    
-sqr()[source]
    
+sqr()[source]
 
    Square a multivariate polynomial f.
    
 
    
 
 
    
 
    
-sturm()[source]
    
+sturm()[source]
 
    Computes the Sturm sequence of f.
    
 
    
 
 
    
 
    
-sub(g)[source]
    
+sub(g)[source]
 
    Subtract two multivariate polynomials f and g.
    
 
    
 
 
    
 
    
-sub_ground(c)[source]
    
+sub_ground(c)[source]
 
    Subtract an element of the ground domain from f.
    
 
    
 
 
    
 
    
-subresultants(g)[source]
    
+subresultants(g)[source]
 
    Computes subresultant PRS sequence of f and g.
    
 
    
 
 
    
 
    
-terms(order=None)[source]
    
+terms(order=None)[source]
 
    Returns all non-zero terms from f in lex order.
    
 
    
 
 
    
 
    
-terms_gcd()[source]
    
+terms_gcd()[source]
 
    Remove GCD of terms from the polynomial f.
    
 
    
 
 
    
 
    
-to_best()[source]
    
+to_best()[source]
 
    Convert to DUP_Flint if possible.
    
 
    This method should be used when the domain or level is changed and it
 potentially becomes possible to convert from DMP_Python to DUP_Flint.
    
@@ -6628,74 +6628,74 @@ 
    Dense polynomials
 
    
-to_dict(zero=False)[source]
    
+to_dict(zero=False)[source]
 
    Convert f to a dict representation with native coefficients.
    
 
    
 
 
    
 
    
-to_exact()[source]
    
+to_exact()[source]
 
    Make the ground domain exact.
    
 
    
 
 
    
 
    
-to_field()[source]
    
+to_field()[source]
 
    Make the ground domain a field.
    
 
    
 
 
    
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert f to a list representation with native coefficients.
    
 
    
 
 
    
 
    
-to_ring()[source]
    
+to_ring()[source]
 
    Make the ground domain a ring.
    
 
    
 
 
    
 
    
-to_sympy_dict(zero=False)[source]
    
+to_sympy_dict(zero=False)[source]
 
    Convert f to a dict representation with SymPy coefficients.
    
 
    
 
 
    
 
    
-to_sympy_list()[source]
    
+to_sympy_list()[source]
 
    Convert f to a list representation with SymPy coefficients.
    
 
    
 
 
    
 
    
-to_tuple()[source]
    
+to_tuple()[source]
 
    Convert f to a tuple representation with native coefficients.
    
 
    This is needed for hashing.
    
 
    
 
 
    
 
    
-total_degree()[source]
    
+total_degree()[source]
 
    Returns the total degree of f.
    
 
    
 
 
    
 
    
-transform(p, q)[source]
    
+transform(p, q)[source]
 
    Evaluate functional transformation q**n * f(p/q).
    
 
    
 
 
    
 
    
-trunc(p)[source]
    
+trunc(p)[source]
 
    Reduce f modulo a constant p.
    
 
    
 
 
    
 
    
-unify_DMP(g)[source]
    
+unify_DMP(g)[source]
 
    Unify and return DMP instances of f and g.
    
 
    
 
@@ -6703,53 +6703,53 @@ 
    Dense polynomials
 
    
-class sympy.polys.polyclasses.DMF(rep, dom, lev=None)[source]
    
+class sympy.polys.polyclasses.DMF(rep, dom, lev=None)[source]
 
    Dense Multivariate Fractions over \(K\).
    
 
    
 
    
-add(g)[source]
    
+add(g)[source]
 
    Add two multivariate fractions f and g.
    
 
    
 
 
    
 
    
-add_ground(c)[source]
    
+add_ground(c)[source]
 
    Add an element of the ground domain to f.
    
 
    
 
 
    
 
    
-cancel()[source]
    
+cancel()[source]
 
    Remove common factors from f.num and f.den.
    
 
    
 
 
    
 
    
-denom()[source]
    
+denom()[source]
 
    Returns the denominator of f.
    
 
    
 
 
    
 
    
-exquo(g)[source]
    
+exquo(g)[source]
 
    Computes quotient of fractions f and g.
    
 
    
 
 
    
 
    
-frac_unify(g)[source]
    
+frac_unify(g)[source]
 
    Unify representations of two multivariate fractions.
    
 
    
 
 
    
 
    
-half_per(rep, kill=False)[source]
    
+half_per(rep, kill=False)[source]
 
    Create a DMP out of the given representation.
    
 
    
 
 
    
 
    
-invert(check=True)[source]
    
+invert(check=True)[source]
 
    Computes inverse of a fraction f.
    
 
    
 
@@ -6767,49 +6767,49 @@ 
    Dense polynomials
 
    
-mul(g)[source]
    
+mul(g)[source]
 
    Multiply two multivariate fractions f and g.
    
 
    
 
 
    
 
    
-neg()[source]
    
+neg()[source]
 
    Negate all coefficients in f.
    
 
    
 
 
    
 
    
-numer()[source]
    
+numer()[source]
 
    Returns the numerator of f.
    
 
    
 
 
    
 
    
-per(num, den, cancel=True, kill=False)[source]
    
+per(num, den, cancel=True, kill=False)[source]
 
    Create a DMF out of the given representation.
    
 
    
 
 
    
 
    
-poly_unify(g)[source]
    
+poly_unify(g)[source]
 
    Unify a multivariate fraction and a polynomial.
    
 
    
 
 
    
 
    
-pow(n)[source]
    
+pow(n)[source]
 
    Raise f to a non-negative power n.
    
 
    
 
 
    
 
    
-quo(g)[source]
    
+quo(g)[source]
 
    Computes quotient of fractions f and g.
    
 
    
 
 
    
 
    
-sub(g)[source]
    
+sub(g)[source]
 
    Subtract two multivariate fractions f and g.
    
 
    
 
@@ -6817,29 +6817,29 @@ 
    Dense polynomials
 
    
-class sympy.polys.polyclasses.ANP(rep, mod, dom)[source]
    
+class sympy.polys.polyclasses.ANP(rep, mod, dom)[source]
 
    Dense Algebraic Number Polynomials over a field.
    
 
    
 
    
-LC()[source]
    
+LC()[source]
 
    Returns the leading coefficient of f.
    
 
    
 
 
    
 
    
-TC()[source]
    
+TC()[source]
 
    Returns the trailing coefficient of f.
    
 
    
 
 
    
 
    
-add_ground(c)[source]
    
+add_ground(c)[source]
 
    Add an element of the ground domain to f.
    
 
    
 
 
    
 
    
-convert(dom)[source]
    
+convert(dom)[source]
 
    Convert f to a ANP over a new domain.
    
 
    
 
@@ -6863,74 +6863,74 @@ 
    Dense polynomials
 
    
-mod_to_list()[source]
    
+mod_to_list()[source]
 
    Return f.mod as a list with native coefficients.
    
 
    
 
 
    
 
    
-mul_ground(c)[source]
    
+mul_ground(c)[source]
 
    Multiply f by an element of the ground domain.
    
 
    
 
 
    
 
    
-pow(n)[source]
    
+pow(n)[source]
 
    Raise f to a non-negative power n.
    
 
    
 
 
    
 
    
-quo_ground(c)[source]
    
+quo_ground(c)[source]
 
    Quotient of f by an element of the ground domain.
    
 
    
 
 
    
 
    
-sub_ground(c)[source]
    
+sub_ground(c)[source]
 
    Subtract an element of the ground domain from f.
    
 
    
 
 
    
 
    
-to_dict()[source]
    
+to_dict()[source]
 
    Convert f to a dict representation with native coefficients.
    
 
    
 
 
    
 
    
-to_list()[source]
    
+to_list()[source]
 
    Convert f to a list representation with native coefficients.
    
 
    
 
 
    
 
    
-to_sympy_dict()[source]
    
+to_sympy_dict()[source]
 
    Convert f to a dict representation with SymPy coefficients.
    
 
    
 
 
    
 
    
-to_sympy_list()[source]
    
+to_sympy_list()[source]
 
    Convert f to a list representation with SymPy coefficients.
    
 
    
 
 
    
 
    
-to_tuple()[source]
    
+to_tuple()[source]
 
    Convert f to a tuple representation with native coefficients.
    
 
    This is needed for hashing.
    
 
    
 
 
    
 
    
-unify(g)[source]
    
+unify(g)[source]
 
    Unify representations of two algebraic numbers.
    
 
    
 
 
    
 
    
-unify_ANP(g)[source]
    
+unify_ANP(g)[source]
 
    Unify and return DMP instances of f and g.
    
 
    
 
diff --git a/dev/modules/polys/internals.html b/dev/modules/polys/internals.html
index 5e3eb717f5d..b110adbd856 100644
--- a/dev/modules/polys/internals.html
+++ b/dev/modules/polys/internals.html
@@ -850,7 +850,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_LC(f, K)[source]
    
+sympy.polys.densebasic.dmp_LC(f, K)[source]
 
    Return leading coefficient of f.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -867,7 +867,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_TC(f, K)[source]
    
+sympy.polys.densebasic.dmp_TC(f, K)[source]
 
    Return trailing coefficient of f.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -884,7 +884,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_ground_LC(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_ground_LC(f, u, K)[source]
 
    Return the ground leading coefficient.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -902,7 +902,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_ground_TC(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_ground_TC(f, u, K)[source]
 
    Return the ground trailing coefficient.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -920,7 +920,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_true_LT(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_true_LT(f, u, K)[source]
 
    Return the leading term c * x_1**n_1 ... x_k**n_k.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -938,7 +938,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_degree(f, u)[source]
    
+sympy.polys.densebasic.dmp_degree(f, u)[source]
 
    Return the leading degree of f in x_0 in K[X].
    
 
    Note that the degree of 0 is negative infinity (float('-inf')).
    
 
    Examples
    
@@ -961,7 +961,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_degree_in(f, j, u)[source]
    
+sympy.polys.densebasic.dmp_degree_in(f, j, u)[source]
 
    Return the leading degree of f in x_j in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -981,7 +981,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_degree_list(f, u)[source]
    
+sympy.polys.densebasic.dmp_degree_list(f, u)[source]
 
    Return a list of degrees of f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -999,7 +999,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_strip(f, u)[source]
    
+sympy.polys.densebasic.dmp_strip(f, u)[source]
 
    Remove leading zeros from f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_strip
@@ -1013,7 +1013,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_validate(f, K=None)[source]
    
+sympy.polys.densebasic.dmp_validate(f, K=None)[source]
 
    Return the number of levels in f and recursively strip it.
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_validate
@@ -1033,7 +1033,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dup_reverse(f)[source]
    
+sympy.polys.densebasic.dup_reverse(f)[source]
 
    Compute x**n * f(1/x), i.e.: reverse f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1051,7 +1051,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_copy(f, u)[source]
    
+sympy.polys.densebasic.dmp_copy(f, u)[source]
 
    Create a new copy of a polynomial f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1069,7 +1069,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_to_tuple(f, u)[source]
    
+sympy.polys.densebasic.dmp_to_tuple(f, u)[source]
 
    Convert \(f\) into a nested tuple of tuples.
    
 
    This is needed for hashing.  This is similar to dmp_copy().
    
 
    Examples
    
@@ -1088,7 +1088,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_normal(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_normal(f, u, K)[source]
 
    Normalize a multivariate polynomial in the given domain.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1103,7 +1103,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_convert(f, u, K0, K1)[source]
    
+sympy.polys.densebasic.dmp_convert(f, u, K0, K1)[source]
 
    Convert the ground domain of f from K0 to K1.
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -1124,7 +1124,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_from_sympy(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_from_sympy(f, u, K)[source]
 
    Convert the ground domain of f from SymPy to K.
    
 
    Examples
    
 
    >>> from sympy import S
@@ -1140,7 +1140,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_nth(f, n, u, K)[source]
    
+sympy.polys.densebasic.dmp_nth(f, n, u, K)[source]
 
    Return the n-th coefficient of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1160,7 +1160,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_ground_nth(f, N, u, K)[source]
    
+sympy.polys.densebasic.dmp_ground_nth(f, N, u, K)[source]
 
    Return the ground n-th coefficient of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1178,7 +1178,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_zero_p(f, u)[source]
    
+sympy.polys.densebasic.dmp_zero_p(f, u)[source]
 
    Return True if f is zero in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_zero_p
@@ -1194,7 +1194,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_zero(u)[source]
    
+sympy.polys.densebasic.dmp_zero(u)[source]
 
    Return a multivariate zero.
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_zero
@@ -1208,7 +1208,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_one_p(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_one_p(f, u, K)[source]
 
    Return True if f is one in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1223,7 +1223,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_one(u, K)[source]
    
+sympy.polys.densebasic.dmp_one(u, K)[source]
 
    Return a multivariate one over K.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1238,7 +1238,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_ground_p(f, c, u)[source]
    
+sympy.polys.densebasic.dmp_ground_p(f, c, u)[source]
 
    Return True if f is constant in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_ground_p
@@ -1254,7 +1254,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_ground(c, u)[source]
    
+sympy.polys.densebasic.dmp_ground(c, u)[source]
 
    Return a multivariate constant.
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_ground
@@ -1270,7 +1270,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_zeros(n, u, K)[source]
    
+sympy.polys.densebasic.dmp_zeros(n, u, K)[source]
 
    Return a list of multivariate zeros.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1287,7 +1287,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_grounds(c, n, u)[source]
    
+sympy.polys.densebasic.dmp_grounds(c, n, u)[source]
 
    Return a list of multivariate constants.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1304,7 +1304,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_negative_p(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_negative_p(f, u, K)[source]
 
    Return True if LC(f) is negative.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1321,7 +1321,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_positive_p(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_positive_p(f, u, K)[source]
 
    Return True if LC(f) is positive.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1338,7 +1338,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_from_dict(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_from_dict(f, u, K)[source]
 
    Create a K[X] polynomial from a dict.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1355,7 +1355,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_to_dict(f, u, K=None, zero=False)[source]
    
+sympy.polys.densebasic.dmp_to_dict(f, u, K=None, zero=False)[source]
 
    Convert a K[X] polynomial to a dict``.
    
 
    Examples
    
 
    >>> from sympy.polys.densebasic import dmp_to_dict
@@ -1371,7 +1371,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_swap(f, i, j, u, K)[source]
    
+sympy.polys.densebasic.dmp_swap(f, i, j, u, K)[source]
 
    Transform K[..x_i..x_j..] to K[..x_j..x_i..].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1393,7 +1393,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_permute(f, P, u, K)[source]
    
+sympy.polys.densebasic.dmp_permute(f, P, u, K)[source]
 
    Return a polynomial in K[x_{P(1)},..,x_{P(n)}].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1413,7 +1413,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_nest(f, l, K)[source]
    
+sympy.polys.densebasic.dmp_nest(f, l, K)[source]
 
    Return a multivariate value nested l-levels.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1428,7 +1428,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_raise(f, l, u, K)[source]
    
+sympy.polys.densebasic.dmp_raise(f, l, u, K)[source]
 
    Return a multivariate polynomial raised l-levels.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1446,7 +1446,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_deflate(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_deflate(f, u, K)[source]
 
    Map x_i**m_i to y_i in a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1464,7 +1464,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_multi_deflate(polys, u, K)[source]
    
+sympy.polys.densebasic.dmp_multi_deflate(polys, u, K)[source]
 
    Map x_i**m_i to y_i in a set of polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1483,7 +1483,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_inflate(f, M, u, K)[source]
    
+sympy.polys.densebasic.dmp_inflate(f, M, u, K)[source]
 
    Map y_i to x_i**k_i in a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1501,7 +1501,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_exclude(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_exclude(f, u, K)[source]
 
    Exclude useless levels from f.
    
 
    Return the levels excluded, the new excluded f, and the new u.
    
 
    Examples
    
@@ -1520,7 +1520,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_include(f, J, u, K)[source]
    
+sympy.polys.densebasic.dmp_include(f, J, u, K)[source]
 
    Include useless levels in f.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1538,7 +1538,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_inject(f, u, K, front=False)[source]
    
+sympy.polys.densebasic.dmp_inject(f, u, K, front=False)[source]
 
    Convert f from K[X][Y] to K[X,Y].
    
 
    Examples
    
 
    >>> from sympy.polys.rings import ring
@@ -1559,7 +1559,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_eject(f, u, K, front=False)[source]
    
+sympy.polys.densebasic.dmp_eject(f, u, K, front=False)[source]
 
    Convert f from K[X,Y] to K[X][Y].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1574,7 +1574,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_terms_gcd(f, u, K)[source]
    
+sympy.polys.densebasic.dmp_terms_gcd(f, u, K)[source]
 
    Remove GCD of terms from f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1592,7 +1592,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_list_terms(f, u, K, order=None)[source]
    
+sympy.polys.densebasic.dmp_list_terms(f, u, K, order=None)[source]
 
    List all non-zero terms from f in the given order order.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1612,7 +1612,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_apply_pairs(f, g, h, args, u, K)[source]
    
+sympy.polys.densebasic.dmp_apply_pairs(f, g, h, args, u, K)[source]
 
    Apply h to pairs of coefficients of f and g.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1630,13 +1630,13 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densebasic.dmp_slice(f, m, n, u, K)[source]
    
+sympy.polys.densebasic.dmp_slice(f, m, n, u, K)[source]
 
    Take a continuous subsequence of terms of f in K[X].
    
 
    
 
 
    
 
    
-sympy.polys.densebasic.dup_random(n, a, b, K)[source]
    
+sympy.polys.densebasic.dup_random(n, a, b, K)[source]
 
    Return a polynomial of degree n with coefficients in [a, b].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -1652,7 +1652,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_add_term(f, c, i, u, K)[source]
    
+sympy.polys.densearith.dmp_add_term(f, c, i, u, K)[source]
 
    Add c(x_2..x_u)*x_0**i to f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1667,7 +1667,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_sub_term(f, c, i, u, K)[source]
    
+sympy.polys.densearith.dmp_sub_term(f, c, i, u, K)[source]
 
    Subtract c(x_2..x_u)*x_0**i from f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1682,7 +1682,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_mul_term(f, c, i, u, K)[source]
    
+sympy.polys.densearith.dmp_mul_term(f, c, i, u, K)[source]
 
    Multiply f by c(x_2..x_u)*x_0**i in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1697,7 +1697,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_add_ground(f, c, u, K)[source]
    
+sympy.polys.densearith.dmp_add_ground(f, c, u, K)[source]
 
    Add an element of the ground domain to f.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1712,7 +1712,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_sub_ground(f, c, u, K)[source]
    
+sympy.polys.densearith.dmp_sub_ground(f, c, u, K)[source]
 
    Subtract an element of the ground domain from f.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1727,7 +1727,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_mul_ground(f, c, u, K)[source]
    
+sympy.polys.densearith.dmp_mul_ground(f, c, u, K)[source]
 
    Multiply f by a constant value in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1742,7 +1742,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_quo_ground(f, c, u, K)[source]
    
+sympy.polys.densearith.dmp_quo_ground(f, c, u, K)[source]
 
    Quotient by a constant in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -1762,7 +1762,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_exquo_ground(f, c, u, K)[source]
    
+sympy.polys.densearith.dmp_exquo_ground(f, c, u, K)[source]
 
    Exact quotient by a constant in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -1777,7 +1777,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dup_lshift(f, n, K)[source]
    
+sympy.polys.densearith.dup_lshift(f, n, K)[source]
 
    Efficiently multiply f by x**n in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1792,7 +1792,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dup_rshift(f, n, K)[source]
    
+sympy.polys.densearith.dup_rshift(f, n, K)[source]
 
    Efficiently divide f by x**n in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1809,7 +1809,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_abs(f, u, K)[source]
    
+sympy.polys.densearith.dmp_abs(f, u, K)[source]
 
    Make all coefficients positive in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1824,7 +1824,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_neg(f, u, K)[source]
    
+sympy.polys.densearith.dmp_neg(f, u, K)[source]
 
    Negate a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1839,7 +1839,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_add(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_add(f, g, u, K)[source]
 
    Add dense polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1854,7 +1854,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_sub(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_sub(f, g, u, K)[source]
 
    Subtract dense polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1869,7 +1869,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_add_mul(f, g, h, u, K)[source]
    
+sympy.polys.densearith.dmp_add_mul(f, g, h, u, K)[source]
 
    Returns f + g*h where f, g, h are in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1884,7 +1884,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_sub_mul(f, g, h, u, K)[source]
    
+sympy.polys.densearith.dmp_sub_mul(f, g, h, u, K)[source]
 
    Returns f - g*h where f, g, h are in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1899,7 +1899,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_mul(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_mul(f, g, u, K)[source]
 
    Multiply dense polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1914,7 +1914,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_sqr(f, u, K)[source]
    
+sympy.polys.densearith.dmp_sqr(f, u, K)[source]
 
    Square dense polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1929,7 +1929,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_pow(f, n, u, K)[source]
    
+sympy.polys.densearith.dmp_pow(f, n, u, K)[source]
 
    Raise f to the n-th power in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1944,7 +1944,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_pdiv(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_pdiv(f, g, u, K)[source]
 
    Polynomial pseudo-division in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1959,7 +1959,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_prem(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_prem(f, g, u, K)[source]
 
    Polynomial pseudo-remainder in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1974,7 +1974,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_pquo(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_pquo(f, g, u, K)[source]
 
    Polynomial exact pseudo-quotient in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -1998,7 +1998,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_pexquo(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_pexquo(f, g, u, K)[source]
 
    Polynomial pseudo-quotient in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2024,7 +2024,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_rr_div(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_rr_div(f, g, u, K)[source]
 
    Multivariate division with remainder over a ring.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2039,7 +2039,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_ff_div(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_ff_div(f, g, u, K)[source]
 
    Polynomial division with remainder over a field.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2054,7 +2054,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_div(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_div(f, g, u, K)[source]
 
    Polynomial division with remainder in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2074,7 +2074,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_rem(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_rem(f, g, u, K)[source]
 
    Returns polynomial remainder in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2094,7 +2094,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_quo(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_quo(f, g, u, K)[source]
 
    Returns exact polynomial quotient in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2114,7 +2114,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_exquo(f, g, u, K)[source]
    
+sympy.polys.densearith.dmp_exquo(f, g, u, K)[source]
 
    Returns polynomial quotient in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2140,7 +2140,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_max_norm(f, u, K)[source]
    
+sympy.polys.densearith.dmp_max_norm(f, u, K)[source]
 
    Returns maximum norm of a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2155,7 +2155,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_l1_norm(f, u, K)[source]
    
+sympy.polys.densearith.dmp_l1_norm(f, u, K)[source]
 
    Returns l1 norm of a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2170,7 +2170,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densearith.dmp_expand(polys, u, K)[source]
    
+sympy.polys.densearith.dmp_expand(polys, u, K)[source]
 
    Multiply together several polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2186,7 +2186,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_integrate(f, m, u, K)[source]
    
+sympy.polys.densetools.dmp_integrate(f, m, u, K)[source]
 
    Computes the indefinite integral of f in x_0 in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2203,7 +2203,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_integrate_in(f, m, j, u, K)[source]
    
+sympy.polys.densetools.dmp_integrate_in(f, m, j, u, K)[source]
 
    Computes the indefinite integral of f in x_j in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2220,7 +2220,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_diff(f, m, u, K)[source]
    
+sympy.polys.densetools.dmp_diff(f, m, u, K)[source]
 
    m-th order derivative in x_0 of a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2240,7 +2240,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_diff_in(f, m, j, u, K)[source]
    
+sympy.polys.densetools.dmp_diff_in(f, m, j, u, K)[source]
 
    m-th order derivative in x_j of a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2260,7 +2260,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_eval(f, a, u, K)[source]
    
+sympy.polys.densetools.dmp_eval(f, a, u, K)[source]
 
    Evaluate a polynomial at x_0 = a in K[X] using the Horner scheme.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2275,7 +2275,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_eval_in(f, a, j, u, K)[source]
    
+sympy.polys.densetools.dmp_eval_in(f, a, j, u, K)[source]
 
    Evaluate a polynomial at x_j = a in K[X] using the Horner scheme.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2295,7 +2295,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_eval_tail(f, A, u, K)[source]
    
+sympy.polys.densetools.dmp_eval_tail(f, A, u, K)[source]
 
    Evaluate a polynomial at x_j = a_j, ... in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2315,7 +2315,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_diff_eval_in(f, m, a, j, u, K)[source]
    
+sympy.polys.densetools.dmp_diff_eval_in(f, m, a, j, u, K)[source]
 
    Differentiate and evaluate a polynomial in x_j at a in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2335,7 +2335,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_trunc(f, p, u, K)[source]
    
+sympy.polys.densetools.dmp_trunc(f, p, u, K)[source]
 
    Reduce a K[X] polynomial modulo a polynomial p in K[Y].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2354,7 +2354,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_ground_trunc(f, p, u, K)[source]
    
+sympy.polys.densetools.dmp_ground_trunc(f, p, u, K)[source]
 
    Reduce a K[X] polynomial modulo a constant p in K.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2372,7 +2372,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_monic(f, K)[source]
    
+sympy.polys.densetools.dup_monic(f, K)[source]
 
    Divide all coefficients by LC(f) in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2392,7 +2392,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_ground_monic(f, u, K)[source]
    
+sympy.polys.densetools.dmp_ground_monic(f, u, K)[source]
 
    Divide all coefficients by LC(f) in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2418,7 +2418,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_content(f, K)[source]
    
+sympy.polys.densetools.dup_content(f, K)[source]
 
    Compute the GCD of coefficients of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2444,7 +2444,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_ground_content(f, u, K)[source]
    
+sympy.polys.densetools.dmp_ground_content(f, u, K)[source]
 
    Compute the GCD of coefficients of f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2470,7 +2470,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_primitive(f, K)[source]
    
+sympy.polys.densetools.dup_primitive(f, K)[source]
 
    Compute content and the primitive form of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2496,7 +2496,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_ground_primitive(f, u, K)[source]
    
+sympy.polys.densetools.dmp_ground_primitive(f, u, K)[source]
 
    Compute content and the primitive form of f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ, QQ
@@ -2522,7 +2522,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_extract(f, g, K)[source]
    
+sympy.polys.densetools.dup_extract(f, g, K)[source]
 
    Extract common content from a pair of polynomials in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2537,7 +2537,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_ground_extract(f, g, u, K)[source]
    
+sympy.polys.densetools.dmp_ground_extract(f, g, u, K)[source]
 
    Extract common content from a pair of polynomials in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2552,7 +2552,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_real_imag(f, K)[source]
    
+sympy.polys.densetools.dup_real_imag(f, K)[source]
 
    Find f1 and f2, such that f(x+I*y) = f1(x,y) + f2(x,y)*I.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2573,7 +2573,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_mirror(f, K)[source]
    
+sympy.polys.densetools.dup_mirror(f, K)[source]
 
    Evaluate efficiently the composition f(-x) in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2588,7 +2588,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_scale(f, a, K)[source]
    
+sympy.polys.densetools.dup_scale(f, a, K)[source]
 
    Evaluate efficiently composition f(a*x) in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2603,7 +2603,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_shift(f, a, K)[source]
    
+sympy.polys.densetools.dup_shift(f, a, K)[source]
 
    Evaluate efficiently Taylor shift f(x + a) in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2618,7 +2618,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_transform(f, p, q, K)[source]
    
+sympy.polys.densetools.dup_transform(f, p, q, K)[source]
 
    Evaluate functional transformation q**n * f(p/q) in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2633,7 +2633,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_compose(f, g, u, K)[source]
    
+sympy.polys.densetools.dmp_compose(f, g, u, K)[source]
 
    Evaluate functional composition f(g) in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2648,7 +2648,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_decompose(f, K)[source]
    
+sympy.polys.densetools.dup_decompose(f, K)[source]
 
    Computes functional decomposition of f in K[x].
    
 
    Given a univariate polynomial f with coefficients in a field of
 characteristic zero, returns list [f_1, f_2, ..., f_n], where:
    
@@ -2685,7 +2685,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_lift(f, u, K)[source]
    
+sympy.polys.densetools.dmp_lift(f, u, K)[source]
 
    Convert algebraic coefficients to integers in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2707,7 +2707,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dup_sign_variations(f, K)[source]
    
+sympy.polys.densetools.dup_sign_variations(f, K)[source]
 
    Compute the number of sign variations of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -2722,7 +2722,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_clear_denoms(f, u, K0, K1=None, convert=False)[source]
    
+sympy.polys.densetools.dmp_clear_denoms(f, u, K0, K1=None, convert=False)[source]
 
    Clear denominators, i.e. transform K_0 to K_1.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2742,7 +2742,7 @@ 
    Manipulation of dense, multivariate polynomials
 
    
-sympy.polys.densetools.dmp_revert(f, g, u, K)[source]
    
+sympy.polys.densetools.dmp_revert(f, g, u, K)[source]
 
    Compute f**(-1) mod x**n using Newton iteration.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -2762,7 +2762,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 fields.
    
 
    
 
    
-sympy.polys.galoistools.gf_crt(U, M, K=None)[source]
    
+sympy.polys.galoistools.gf_crt(U, M, K=None)[source]
 
    Chinese Remainder Theorem.
    
 
    Given a set of integer residues u_0,...,u_n and a set of
 co-prime integer moduli m_0,...,m_n, returns an integer
@@ -2795,7 +2795,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_crt1(M, K)[source]
    
+sympy.polys.galoistools.gf_crt1(M, K)[source]
 
    First part of the Chinese Remainder Theorem.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -2836,7 +2836,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_crt2(U, M, p, E, S, K)[source]
    
+sympy.polys.galoistools.gf_crt2(U, M, p, E, S, K)[source]
 
    Second part of the Chinese Remainder Theorem.
    
 
    See gf_crt1 for usage.
    
 
    Examples
    
@@ -2867,7 +2867,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_int(a, p)[source]
    
+sympy.polys.galoistools.gf_int(a, p)[source]
 
    Coerce a mod p to an integer in the range [-p/2, p/2].
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_int
@@ -2883,7 +2883,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_degree(f)[source]
    
+sympy.polys.galoistools.gf_degree(f)[source]
 
    Return the leading degree of f.
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_degree
@@ -2899,7 +2899,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_LC(f, K)[source]
    
+sympy.polys.galoistools.gf_LC(f, K)[source]
 
    Return the leading coefficient of f.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -2914,7 +2914,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_TC(f, K)[source]
    
+sympy.polys.galoistools.gf_TC(f, K)[source]
 
    Return the trailing coefficient of f.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -2929,7 +2929,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_strip(f)[source]
    
+sympy.polys.galoistools.gf_strip(f)[source]
 
    Remove leading zeros from f.
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_strip
@@ -2943,7 +2943,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_trunc(f, p)[source]
    
+sympy.polys.galoistools.gf_trunc(f, p)[source]
 
    Reduce all coefficients modulo p.
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_trunc
@@ -2957,7 +2957,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_normal(f, p, K)[source]
    
+sympy.polys.galoistools.gf_normal(f, p, K)[source]
 
    Normalize all coefficients in K.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -2972,7 +2972,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_from_dict(f, p, K)[source]
    
+sympy.polys.galoistools.gf_from_dict(f, p, K)[source]
 
    Create a GF(p)[x] polynomial from a dict.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -2987,7 +2987,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_to_dict(f, p, symmetric=True)[source]
    
+sympy.polys.galoistools.gf_to_dict(f, p, symmetric=True)[source]
 
    Convert a GF(p)[x] polynomial to a dict.
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_to_dict
@@ -3003,7 +3003,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_from_int_poly(f, p)[source]
    
+sympy.polys.galoistools.gf_from_int_poly(f, p)[source]
 
    Create a GF(p)[x] polynomial from Z[x].
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_from_int_poly
@@ -3017,7 +3017,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_to_int_poly(f, p, symmetric=True)[source]
    
+sympy.polys.galoistools.gf_to_int_poly(f, p, symmetric=True)[source]
 
    Convert a GF(p)[x] polynomial to Z[x].
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_to_int_poly
@@ -3033,7 +3033,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_neg(f, p, K)[source]
    
+sympy.polys.galoistools.gf_neg(f, p, K)[source]
 
    Negate a polynomial in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3048,7 +3048,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_add_ground(f, a, p, K)[source]
    
+sympy.polys.galoistools.gf_add_ground(f, a, p, K)[source]
 
    Compute f + a where f in GF(p)[x] and a in GF(p).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3063,7 +3063,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sub_ground(f, a, p, K)[source]
    
+sympy.polys.galoistools.gf_sub_ground(f, a, p, K)[source]
 
    Compute f - a where f in GF(p)[x] and a in GF(p).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3078,7 +3078,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_mul_ground(f, a, p, K)[source]
    
+sympy.polys.galoistools.gf_mul_ground(f, a, p, K)[source]
 
    Compute f * a where f in GF(p)[x] and a in GF(p).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3093,7 +3093,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_quo_ground(f, a, p, K)[source]
    
+sympy.polys.galoistools.gf_quo_ground(f, a, p, K)[source]
 
    Compute f/a where f in GF(p)[x] and a in GF(p).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3108,7 +3108,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_add(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_add(f, g, p, K)[source]
 
    Add polynomials in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3123,7 +3123,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sub(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_sub(f, g, p, K)[source]
 
    Subtract polynomials in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3138,7 +3138,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_mul(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_mul(f, g, p, K)[source]
 
    Multiply polynomials in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3153,7 +3153,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sqr(f, p, K)[source]
    
+sympy.polys.galoistools.gf_sqr(f, p, K)[source]
 
    Square polynomials in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3168,7 +3168,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_add_mul(f, g, h, p, K)[source]
    
+sympy.polys.galoistools.gf_add_mul(f, g, h, p, K)[source]
 
    Returns f + g*h where f, g, h in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3181,7 +3181,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sub_mul(f, g, h, p, K)[source]
    
+sympy.polys.galoistools.gf_sub_mul(f, g, h, p, K)[source]
 
    Compute f - g*h where f, g, h in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3196,7 +3196,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_expand(F, p, K)[source]
    
+sympy.polys.galoistools.gf_expand(F, p, K)[source]
 
    Expand results of factor() in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3211,7 +3211,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_div(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_div(f, g, p, K)[source]
 
    Division with remainder in GF(p)[x].
    
 
    Given univariate polynomials f and g with coefficients in a
 finite field with p elements, returns polynomials q and r
@@ -3244,7 +3244,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_rem(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_rem(f, g, p, K)[source]
 
    Compute polynomial remainder in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3259,7 +3259,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_quo(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_quo(f, g, p, K)[source]
 
    Compute exact quotient in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3276,7 +3276,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_exquo(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_exquo(f, g, p, K)[source]
 
    Compute polynomial quotient in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3297,7 +3297,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_lshift(f, n, K)[source]
    
+sympy.polys.galoistools.gf_lshift(f, n, K)[source]
 
    Efficiently multiply f by x**n.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3312,7 +3312,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_rshift(f, n, K)[source]
    
+sympy.polys.galoistools.gf_rshift(f, n, K)[source]
 
    Efficiently divide f by x**n.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3327,7 +3327,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_pow(f, n, p, K)[source]
    
+sympy.polys.galoistools.gf_pow(f, n, p, K)[source]
 
    Compute f**n in GF(p)[x] using repeated squaring.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3342,7 +3342,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_pow_mod(f, n, g, p, K)[source]
    
+sympy.polys.galoistools.gf_pow_mod(f, n, g, p, K)[source]
 
    Compute f**n in GF(p)[x]/(g) using repeated squaring.
    
 
    Given polynomials f and g in GF(p)[x] and a non-negative
 integer n, efficiently computes f**n (mod g) i.e. the remainder
@@ -3367,7 +3367,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_gcd(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_gcd(f, g, p, K)[source]
 
    Euclidean Algorithm in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3382,7 +3382,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_lcm(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_lcm(f, g, p, K)[source]
 
    Compute polynomial LCM in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3397,7 +3397,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_cofactors(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_cofactors(f, g, p, K)[source]
 
    Compute polynomial GCD and cofactors in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3412,7 +3412,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_gcdex(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_gcdex(f, g, p, K)[source]
 
    Extended Euclidean Algorithm in GF(p)[x].
    
 
    Given polynomials f and g in GF(p)[x], computes polynomials
 s, t and h, such that h = gcd(f, g) and s*f + t*g = h.
@@ -3447,7 +3447,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_monic(f, p, K)[source]
    
+sympy.polys.galoistools.gf_monic(f, p, K)[source]
 
    Compute LC and a monic polynomial in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3462,7 +3462,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_diff(f, p, K)[source]
    
+sympy.polys.galoistools.gf_diff(f, p, K)[source]
 
    Differentiate polynomial in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3477,7 +3477,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_eval(f, a, p, K)[source]
    
+sympy.polys.galoistools.gf_eval(f, a, p, K)[source]
 
    Evaluate f(a) in GF(p) using Horner scheme.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3492,7 +3492,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_multi_eval(f, A, p, K)[source]
    
+sympy.polys.galoistools.gf_multi_eval(f, A, p, K)[source]
 
    Evaluate f(a) for a in [a_1, ..., a_n].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3507,7 +3507,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_compose(f, g, p, K)[source]
    
+sympy.polys.galoistools.gf_compose(f, g, p, K)[source]
 
    Compute polynomial composition f(g) in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3522,7 +3522,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_compose_mod(g, h, f, p, K)[source]
    
+sympy.polys.galoistools.gf_compose_mod(g, h, f, p, K)[source]
 
    Compute polynomial composition g(h) in GF(p)[x]/(f).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3537,7 +3537,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_trace_map(a, b, c, n, f, p, K)[source]
    
+sympy.polys.galoistools.gf_trace_map(a, b, c, n, f, p, K)[source]
 
    Compute polynomial trace map in GF(p)[x]/(f).
    
 
    Given a polynomial f in GF(p)[x], polynomials a, b,
 c in the quotient ring GF(p)[x]/(f) such that b = c**t
@@ -3570,7 +3570,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_random(n, p, K)[source]
    
+sympy.polys.galoistools.gf_random(n, p, K)[source]
 
    Generate a random polynomial in GF(p)[x] of degree n.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3583,7 +3583,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_irreducible(n, p, K)[source]
    
+sympy.polys.galoistools.gf_irreducible(n, p, K)[source]
 
    Generate random irreducible polynomial of degree n in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3596,7 +3596,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_irreducible_p(f, p, K)[source]
    
+sympy.polys.galoistools.gf_irreducible_p(f, p, K)[source]
 
    Test irreducibility of a polynomial f in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3613,7 +3613,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sqf_p(f, p, K)[source]
    
+sympy.polys.galoistools.gf_sqf_p(f, p, K)[source]
 
    Return True if f is square-free in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3630,7 +3630,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sqf_part(f, p, K)[source]
    
+sympy.polys.galoistools.gf_sqf_part(f, p, K)[source]
 
    Return square-free part of a GF(p)[x] polynomial.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3645,7 +3645,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_sqf_list(f, p, K, all=False)[source]
    
+sympy.polys.galoistools.gf_sqf_list(f, p, K, all=False)[source]
 
    Return the square-free decomposition of a GF(p)[x] polynomial.
    
 
    Given a polynomial f in GF(p)[x], returns the leading coefficient
 of f and a square-free decomposition f_1**e_1 f_2**e_2 ... f_k**e_k
@@ -3690,7 +3690,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_Qmatrix(f, p, K)[source]
    
+sympy.polys.galoistools.gf_Qmatrix(f, p, K)[source]
 
    Calculate Berlekamp’s Q matrix.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3713,7 +3713,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_Qbasis(Q, p, K)[source]
    
+sympy.polys.galoistools.gf_Qbasis(Q, p, K)[source]
 
    Compute a basis of the kernel of Q.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3732,7 +3732,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_berlekamp(f, p, K)[source]
    
+sympy.polys.galoistools.gf_berlekamp(f, p, K)[source]
 
    Factor a square-free f in GF(p)[x] for small p.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3747,7 +3747,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_zassenhaus(f, p, K)[source]
    
+sympy.polys.galoistools.gf_zassenhaus(f, p, K)[source]
 
    Factor a square-free f in GF(p)[x] for medium p.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3762,7 +3762,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_shoup(f, p, K)[source]
    
+sympy.polys.galoistools.gf_shoup(f, p, K)[source]
 
    Factor a square-free f in GF(p)[x] for large p.
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3777,7 +3777,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_factor_sqf(f, p, K, method=None)[source]
    
+sympy.polys.galoistools.gf_factor_sqf(f, p, K, method=None)[source]
 
    Factor a square-free polynomial f in GF(p)[x].
    
 
    Examples
    
 
    >>> from sympy.polys.domains import ZZ
@@ -3792,7 +3792,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_factor(f, p, K)[source]
    
+sympy.polys.galoistools.gf_factor(f, p, K)[source]
 
    Factor (non square-free) polynomials in GF(p)[x].
    
 
    Given a possibly non square-free polynomial f in GF(p)[x],
 returns its complete factorization into irreducibles:
    
@@ -3841,7 +3841,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_value(f, a)[source]
    
+sympy.polys.galoistools.gf_value(f, a)[source]
 
    Value of polynomial ‘f’ at ‘a’ in field R.
    
 
    Examples
    
 
    >>> from sympy.polys.galoistools import gf_value
@@ -3855,7 +3855,7 @@ 
    Manipulation of dense, univariate polynomials with finite field coefficients
 
 
    
 
    
-sympy.polys.galoistools.gf_csolve(f, n)[source]
    
+sympy.polys.galoistools.gf_csolve(f, n)[source]
 
    To solve f(x) congruent 0 mod(n).
    
 
    n is divided into canonical factors and f(x) cong 0 mod(p**e) will be
 solved for each factor. Applying the Chinese Remainder Theorem to the
@@ -3901,7 +3901,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors\(f_1, f_2, \ldots\).
    
 
    
 
    
-sympy.polys.distributedmodules.sdm_monomial_mul(M, X)[source]
    
+sympy.polys.distributedmodules.sdm_monomial_mul(M, X)[source]
 
    Multiply tuple X representing a monomial of \(K[X]\) into the tuple
 M representing a monomial of \(F\).
    
 
    Examples
    
@@ -3915,7 +3915,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_monomial_deg(M)[source]
    
+sympy.polys.distributedmodules.sdm_monomial_deg(M)[source]
 
    Return the total degree of M.
    
 
    Examples
    
 
    For example, the total degree of \(x^2 y f_5\) is 3:
    
@@ -3928,7 +3928,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_monomial_divides(A, B)[source]
    
+sympy.polys.distributedmodules.sdm_monomial_divides(A, B)[source]
 
    Does there exist a (polynomial) monomial X such that XA = B?
    
 
    Examples
    
 
    Positive examples:
    
@@ -3974,19 +3974,19 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_LC(f, K)[source]
    
+sympy.polys.distributedmodules.sdm_LC(f, K)[source]
 
    Returns the leading coefficient of f.
    
 
    
 
 
    
 
    
-sympy.polys.distributedmodules.sdm_to_dict(f)[source]
    
+sympy.polys.distributedmodules.sdm_to_dict(f)[source]
 
    Make a dictionary from a distributed polynomial.
    
 
    
 
 
    
 
    
-sympy.polys.distributedmodules.sdm_from_dict(d, O)[source]
    
+sympy.polys.distributedmodules.sdm_from_dict(d, O)[source]
 
    Create an sdm from a dictionary.
    
 
    Here O is the monomial order to use.
    
 
    Examples
    
@@ -4001,7 +4001,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_add(f, g, O, K)[source]
    
+sympy.polys.distributedmodules.sdm_add(f, g, O, K)[source]
 
    Add two module elements f, g.
    
 
    Addition is done over the ground field K, monomials are ordered
 according to O.
    
@@ -4033,7 +4033,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_LM(f)[source]
    
+sympy.polys.distributedmodules.sdm_LM(f)[source]
 
    Returns the leading monomial of f.
    
 
    Only valid if \(f \ne 0\).
    
 
    Examples
    
@@ -4048,7 +4048,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_LT(f)[source]
    
+sympy.polys.distributedmodules.sdm_LT(f)[source]
 
    Returns the leading term of f.
    
 
    Only valid if \(f \ne 0\).
    
 
    Examples
    
@@ -4063,7 +4063,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_mul_term(f, term, O, K)[source]
    
+sympy.polys.distributedmodules.sdm_mul_term(f, term, O, K)[source]
 
    Multiply a distributed module element f by a (polynomial) term term.
    
 
    Multiplication of coefficients is done over the ground field K, and
 monomials are ordered according to O.
    
@@ -4095,13 +4095,13 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_zero()[source]
    
+sympy.polys.distributedmodules.sdm_zero()[source]
 
    Return the zero module element.
    
 
    
 
 
    
 
    
-sympy.polys.distributedmodules.sdm_deg(f)[source]
    
+sympy.polys.distributedmodules.sdm_deg(f)[source]
 
    Degree of f.
    
 
    This is the maximum of the degrees of all its monomials.
 Invalid if f is zero.
    
@@ -4115,7 +4115,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_from_vector(vec, O, K, **opts)[source]
    
+sympy.polys.distributedmodules.sdm_from_vector(vec, O, K, **opts)[source]
 
    Create an sdm from an iterable of expressions.
    
 
    Coefficients are created in the ground field K, and terms are ordered
 according to monomial order O. Named arguments are passed on to the
@@ -4132,7 +4132,7 @@ 
    Manipulation of sparse, distributed polynomials and vectors
 
    
-sympy.polys.distributedmodules.sdm_to_vector(f, gens, K, n=None)[source]
    
+sympy.polys.distributedmodules.sdm_to_vector(f, gens, K, n=None)[source]
 
    Convert sdm f into a list of polynomial expressions.
    
 
    The generators for the polynomial ring are specified via gens. The rank
 of the module is guessed, or passed via n. The ground field is assumed
@@ -4206,7 +4206,7 @@ 
    Classical remainder sequence
 
    
-sympy.polys.euclidtools.dmp_half_gcdex(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_half_gcdex(f, g, u, K)[source]
 
    Half extended Euclidean algorithm in \(F[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4217,7 +4217,7 @@ 
    Classical remainder sequence
 
    
-sympy.polys.euclidtools.dmp_gcdex(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_gcdex(f, g, u, K)[source]
 
    Extended Euclidean algorithm in \(F[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4228,7 +4228,7 @@ 
    Classical remainder sequence
 
    
-sympy.polys.euclidtools.dmp_invert(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_invert(f, g, u, K)[source]
 
    Compute multiplicative inverse of \(f\) modulo \(g\) in \(F[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -4239,7 +4239,7 @@ 
    Classical remainder sequence
 
    
-sympy.polys.euclidtools.dmp_euclidean_prs(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_euclidean_prs(f, g, u, K)[source]
 
    Euclidean polynomial remainder sequence (PRS) in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4279,7 +4279,7 @@ 
    Simplified remainder sequences
 
    
-sympy.polys.euclidtools.dmp_primitive_prs(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_primitive_prs(f, g, u, K)[source]
 
    Primitive polynomial remainder sequence (PRS) in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4397,7 +4397,7 @@ 
    Subresultant sequence
 
    
 
    
-sympy.polys.euclidtools.dmp_inner_subresultants(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_inner_subresultants(f, g, u, K)[source]
 
    Subresultant PRS algorithm in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4424,7 +4424,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_subresultants(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_subresultants(f, g, u, K)[source]
 
    Computes subresultant PRS of two polynomials in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4447,7 +4447,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_prs_resultant(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_prs_resultant(f, g, u, K)[source]
 
    Resultant algorithm in \(K[X]\) using subresultant PRS.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4477,7 +4477,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_zz_modular_resultant(f, g, p, u, K)[source]
    
+sympy.polys.euclidtools.dmp_zz_modular_resultant(f, g, p, u, K)[source]
 
    Compute resultant of \(f\) and \(g\) modulo a prime \(p\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4496,7 +4496,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_zz_collins_resultant(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_zz_collins_resultant(f, g, u, K)[source]
 
    Collins’s modular resultant algorithm in \(Z[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4515,7 +4515,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_qq_collins_resultant(f, g, u, K0)[source]
    
+sympy.polys.euclidtools.dmp_qq_collins_resultant(f, g, u, K0)[source]
 
    Collins’s modular resultant algorithm in \(Q[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, QQ
@@ -4534,7 +4534,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_resultant(f, g, u, K, includePRS=False)[source]
    
+sympy.polys.euclidtools.dmp_resultant(f, g, u, K, includePRS=False)[source]
 
    Computes resultant of two polynomials in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4553,7 +4553,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_discriminant(f, u, K)[source]
    
+sympy.polys.euclidtools.dmp_discriminant(f, u, K)[source]
 
    Computes discriminant of a polynomial in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4568,7 +4568,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_rr_prs_gcd(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_rr_prs_gcd(f, g, u, K)[source]
 
    Computes polynomial GCD using subresultants over a ring.
    
 
    Returns (h, cff, cfg) such that a = gcd(f, g), cff = quo(f, h),
 and cfg = quo(g, h).
    
@@ -4589,7 +4589,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_ff_prs_gcd(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_ff_prs_gcd(f, g, u, K)[source]
 
    Computes polynomial GCD using subresultants over a field.
    
 
    Returns (h, cff, cfg) such that a = gcd(f, g), cff = quo(f, h),
 and cfg = quo(g, h).
    
@@ -4610,7 +4610,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_zz_heu_gcd(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_zz_heu_gcd(f, g, u, K)[source]
 
    Heuristic polynomial GCD in \(Z[X]\).
    
 
    Given univariate polynomials \(f\) and \(g\) in \(Z[X]\), returns
 their GCD and cofactors, i.e. polynomials h, cff and cfg
@@ -4652,7 +4652,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_qq_heu_gcd(f, g, u, K0)[source]
    
+sympy.polys.euclidtools.dmp_qq_heu_gcd(f, g, u, K0)[source]
 
    Heuristic polynomial GCD in \(Q[X]\).
    
 
    Returns (h, cff, cfg) such that a = gcd(f, g),
 cff = quo(f, h), and cfg = quo(g, h).
    
@@ -4673,7 +4673,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_inner_gcd(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_inner_gcd(f, g, u, K)[source]
 
    Computes polynomial GCD and cofactors of \(f\) and \(g\) in \(K[X]\).
    
 
    Returns (h, cff, cfg) such that a = gcd(f, g),
 cff = quo(f, h), and cfg = quo(g, h).
    
@@ -4694,7 +4694,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_gcd(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_gcd(f, g, u, K)[source]
 
    Computes polynomial GCD of \(f\) and \(g\) in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4713,7 +4713,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_lcm(f, g, u, K)[source]
    
+sympy.polys.euclidtools.dmp_lcm(f, g, u, K)[source]
 
    Computes polynomial LCM of \(f\) and \(g\) in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4732,7 +4732,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_content(f, u, K)[source]
    
+sympy.polys.euclidtools.dmp_content(f, u, K)[source]
 
    Returns GCD of multivariate coefficients.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4747,7 +4747,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_primitive(f, u, K)[source]
    
+sympy.polys.euclidtools.dmp_primitive(f, u, K)[source]
 
    Returns multivariate content and a primitive polynomial.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4762,7 +4762,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.euclidtools.dmp_cancel(f, g, u, K, include=True)[source]
    
+sympy.polys.euclidtools.dmp_cancel(f, g, u, K, include=True)[source]
 
    Cancel common factors in a rational function \(f/g\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4778,7 +4778,7 @@ 
    Subresultant sequencePolynomial factorization in characteristic zero:
    
 
    
 
    
-sympy.polys.factortools.dup_trial_division(f, factors, K)[source]
    
+sympy.polys.factortools.dup_trial_division(f, factors, K)[source]
 
    Determine multiplicities of factors for a univariate polynomial
 using trial division.
    
 
    An error will be raised if any factor does not divide f.
    
@@ -4786,7 +4786,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dmp_trial_division(f, factors, u, K)[source]
    
+sympy.polys.factortools.dmp_trial_division(f, factors, u, K)[source]
 
    Determine multiplicities of factors for a multivariate polynomial
 using trial division.
    
 
    An error will be raised if any factor does not divide f.
    
@@ -4794,7 +4794,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_zz_mignotte_bound(f, K)[source]
    
+sympy.polys.factortools.dup_zz_mignotte_bound(f, K)[source]
 
    The Knuth-Cohen variant of Mignotte bound for
 univariate polynomials in K[x].
    
 
    Examples
    
@@ -4830,13 +4830,13 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dmp_zz_mignotte_bound(f, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_mignotte_bound(f, u, K)[source]
 
    Mignotte bound for multivariate polynomials in \(K[X]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_hensel_step(m, f, g, h, s, t, K)[source]
    
+sympy.polys.factortools.dup_zz_hensel_step(m, f, g, h, s, t, K)[source]
 
    One step in Hensel lifting in \(Z[x]\).
    
 
    Given positive integer \(m\) and \(Z[x]\) polynomials \(f\), \(g\), \(h\), \(s\)
 and \(t\) such that:
    
@@ -4867,7 +4867,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_zz_hensel_lift(p, f, f_list, l, K)[source]
    
+sympy.polys.factortools.dup_zz_hensel_lift(p, f, f_list, l, K)[source]
 
    Multifactor Hensel lifting in \(Z[x]\).
    
 
    Given a prime \(p\), polynomial \(f\) over \(Z[x]\) such that \(lc(f)\)
 is a unit modulo \(p\), monic pair-wise coprime polynomials \(f_i\)
@@ -4893,19 +4893,19 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_zz_zassenhaus(f, K)[source]
    
+sympy.polys.factortools.dup_zz_zassenhaus(f, K)[source]
 
    Factor primitive square-free polynomials in \(Z[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_irreducible_p(f, K)[source]
    
+sympy.polys.factortools.dup_zz_irreducible_p(f, K)[source]
 
    Test irreducibility using Eisenstein’s criterion.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_cyclotomic_p(f, K, irreducible=False)[source]
    
+sympy.polys.factortools.dup_cyclotomic_p(f, K, irreducible=False)[source]
 
    Efficiently test if f is a cyclotomic polynomial.
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -4930,13 +4930,13 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_zz_cyclotomic_poly(n, K)[source]
    
+sympy.polys.factortools.dup_zz_cyclotomic_poly(n, K)[source]
 
    Efficiently generate n-th cyclotomic polynomial.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_cyclotomic_factor(f, K)[source]
    
+sympy.polys.factortools.dup_zz_cyclotomic_factor(f, K)[source]
 
    Efficiently factor polynomials \(x**n - 1\) and \(x**n + 1\) in \(Z[x]\).
    
 
    Given a univariate polynomial \(f\) in \(Z[x]\) returns a list of factors
 of \(f\), provided that \(f\) is in the form \(x**n - 1\) or \(x**n + 1\) for
@@ -4955,13 +4955,13 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_zz_factor_sqf(f, K)[source]
    
+sympy.polys.factortools.dup_zz_factor_sqf(f, K)[source]
 
    Factor square-free (non-primitive) polynomials in \(Z[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_factor(f, K)[source]
    
+sympy.polys.factortools.dup_zz_factor(f, K)[source]
 
    Factor (non square-free) polynomials in \(Z[x]\).
    
 
    Given a univariate polynomial \(f\) in \(Z[x]\) computes its complete
 factorization \(f_1, ..., f_n\) into irreducibles over integers:
    
@@ -5005,43 +5005,43 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dmp_zz_wang_non_divisors(E, cs, ct, K)[source]
    
+sympy.polys.factortools.dmp_zz_wang_non_divisors(E, cs, ct, K)[source]
 
    Wang/EEZ: Compute a set of valid divisors.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_wang_test_points(f, T, ct, A, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_wang_test_points(f, T, ct, A, u, K)[source]
 
    Wang/EEZ: Test evaluation points for suitability.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_wang_lead_coeffs(f, T, cs, E, H, A, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_wang_lead_coeffs(f, T, cs, E, H, A, u, K)[source]
 
    Wang/EEZ: Compute correct leading coefficients.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_diophantine(F, m, p, K)[source]
    
+sympy.polys.factortools.dup_zz_diophantine(F, m, p, K)[source]
 
    Wang/EEZ: Solve univariate Diophantine equations.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_diophantine(F, c, A, d, p, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_diophantine(F, c, A, d, p, u, K)[source]
 
    Wang/EEZ: Solve multivariate Diophantine equations.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_wang_hensel_lifting(f, H, LC, A, p, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_wang_hensel_lifting(f, H, LC, A, p, u, K)[source]
 
    Wang/EEZ: Parallel Hensel lifting algorithm.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_wang(f, u, K, mod=None, seed=None)[source]
    
+sympy.polys.factortools.dmp_zz_wang(f, u, K, mod=None, seed=None)[source]
 
    Factor primitive square-free polynomials in \(Z[X]\).
    
 
    Given a multivariate polynomial \(f\) in \(Z[x_1,...,x_n]\), which is
 primitive and square-free in \(x_1\), computes factorization of \(f\) into
@@ -5074,7 +5074,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dmp_zz_factor(f, u, K)[source]
    
+sympy.polys.factortools.dmp_zz_factor(f, u, K)[source]
 
    Factor (non square-free) polynomials in \(Z[X]\).
    
 
    Given a multivariate polynomial \(f\) in \(Z[x]\) computes its complete
 factorization \(f_1, \dots, f_n\) into irreducibles over integers:
    
@@ -5112,31 +5112,31 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_qq_i_factor(f, K0)[source]
    
+sympy.polys.factortools.dup_qq_i_factor(f, K0)[source]
 
    Factor univariate polynomials into irreducibles in \(QQ_I[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_zz_i_factor(f, K0)[source]
    
+sympy.polys.factortools.dup_zz_i_factor(f, K0)[source]
 
    Factor univariate polynomials into irreducibles in \(ZZ_I[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_qq_i_factor(f, u, K0)[source]
    
+sympy.polys.factortools.dmp_qq_i_factor(f, u, K0)[source]
 
    Factor multivariate polynomials into irreducibles in \(QQ_I[X]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_zz_i_factor(f, u, K0)[source]
    
+sympy.polys.factortools.dmp_zz_i_factor(f, u, K0)[source]
 
    Factor multivariate polynomials into irreducibles in \(ZZ_I[X]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_ext_factor(f, K)[source]
    
+sympy.polys.factortools.dup_ext_factor(f, K)[source]
 
    Factor univariate polynomials over algebraic number fields.
    
 
    The domain \(K\) must be an algebraic number field \(k(a)\) (see QQ<a>).
    
 
    Examples
    
@@ -5196,7 +5196,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dmp_ext_factor(f, u, K)[source]
    
+sympy.polys.factortools.dmp_ext_factor(f, u, K)[source]
 
    Factor multivariate polynomials over algebraic number fields.
    
 
    The domain \(K\) must be an algebraic number field \(k(a)\) (see QQ<a>).
    
 
    Examples
    
@@ -5240,50 +5240,50 @@ 
    Subresultant sequence
 
    
-sympy.polys.factortools.dup_gf_factor(f, K)[source]
    
+sympy.polys.factortools.dup_gf_factor(f, K)[source]
 
    Factor univariate polynomials over finite fields.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_gf_factor(f, u, K)[source]
    
+sympy.polys.factortools.dmp_gf_factor(f, u, K)[source]
 
    Factor multivariate polynomials over finite fields.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_factor_list(f, K0)[source]
    
+sympy.polys.factortools.dup_factor_list(f, K0)[source]
 
    Factor univariate polynomials into irreducibles in \(K[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_factor_list_include(f, K)[source]
    
+sympy.polys.factortools.dup_factor_list_include(f, K)[source]
 
    Factor univariate polynomials into irreducibles in \(K[x]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_factor_list(f, u, K0)[source]
    
+sympy.polys.factortools.dmp_factor_list(f, u, K0)[source]
 
    Factor multivariate polynomials into irreducibles in \(K[X]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_factor_list_include(f, u, K)[source]
    
+sympy.polys.factortools.dmp_factor_list_include(f, u, K)[source]
 
    Factor multivariate polynomials into irreducibles in \(K[X]\).
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dup_irreducible_p(f, K)[source]
    
+sympy.polys.factortools.dup_irreducible_p(f, K)[source]
 
    Returns True if a univariate polynomial f has no factors
 over its domain.
    
 
    
 
 
    
 
    
-sympy.polys.factortools.dmp_irreducible_p(f, u, K)[source]
    
+sympy.polys.factortools.dmp_irreducible_p(f, u, K)[source]
 
    Returns True if a multivariate polynomial f has no factors
 over its domain.
    
 
    
@@ -5291,7 +5291,7 @@ 
    Subresultant sequenceSquare-free factorization:
    
 
    
 
    
-sympy.polys.sqfreetools.dup_sqf_p(f, K)[source]
    
+sympy.polys.sqfreetools.dup_sqf_p(f, K)[source]
 
    Return True if f is a square-free polynomial in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5308,7 +5308,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_sqf_p(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_sqf_p(f, u, K)[source]
 
    Return True if f is a square-free polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5325,7 +5325,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dup_sqf_norm(f, K)[source]
    
+sympy.polys.sqfreetools.dup_sqf_norm(f, K)[source]
 
    Find a shift of \(f\) in \(K[x]\) that has square-free norm.
    
 
    The domain \(K\) must be an algebraic number field \(k(a)\) (see QQ<a>).
    
 
    Returns \((s,g,r)\), such that \(g(x)=f(x-sa)\), \(r(x)=\text{Norm}(g(x))\) and
@@ -5387,7 +5387,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_sqf_norm(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_sqf_norm(f, u, K)[source]
 
    Find a shift of f in K[X] that has square-free norm.
    
 
    The domain \(K\) must be an algebraic number field \(k(a)\) (see QQ<a>).
    
 
    Returns \((s,g,r)\), such that \(g(x_1,x_2,\cdots)=f(x_1-s_1 a, x_2 - s_2 a,
@@ -5450,7 +5450,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_norm(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_norm(f, u, K)[source]
 
    Norm of f in K[X], often not square-free.
    
 
    The domain \(K\) must be an algebraic number field \(k(a)\) (see QQ<a>).
    
 
    Examples
    
@@ -5518,19 +5518,19 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dup_gf_sqf_part(f, K)[source]
    
+sympy.polys.sqfreetools.dup_gf_sqf_part(f, K)[source]
 
    Compute square-free part of f in GF(p)[x].
    
 
    
 
 
    
 
    
-sympy.polys.sqfreetools.dmp_gf_sqf_part(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_gf_sqf_part(f, u, K)[source]
 
    Compute square-free part of f in GF(p)[X].
    
 
    
 
 
    
 
    
-sympy.polys.sqfreetools.dup_sqf_part(f, K)[source]
    
+sympy.polys.sqfreetools.dup_sqf_part(f, K)[source]
 
    Returns square-free part of a polynomial in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5549,7 +5549,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_sqf_part(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_sqf_part(f, u, K)[source]
 
    Returns square-free part of a polynomial in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5564,19 +5564,19 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dup_gf_sqf_list(f, K, all=False)[source]
    
+sympy.polys.sqfreetools.dup_gf_sqf_list(f, K, all=False)[source]
 
    Compute square-free decomposition of f in GF(p)[x].
    
 
    
 
 
    
 
    
-sympy.polys.sqfreetools.dmp_gf_sqf_list(f, u, K, all=False)[source]
    
+sympy.polys.sqfreetools.dmp_gf_sqf_list(f, u, K, all=False)[source]
 
    Compute square-free decomposition of f in GF(p)[X].
    
 
    
 
 
    
 
    
-sympy.polys.sqfreetools.dup_sqf_list(f, K, all=False)[source]
    
+sympy.polys.sqfreetools.dup_sqf_list(f, K, all=False)[source]
 
    Return square-free decomposition of a polynomial in K[x].
    
 
    Uses Yun’s algorithm from [Yun76].
    
 
    Examples
    
@@ -5610,7 +5610,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dup_sqf_list_include(f, K, all=False)[source]
    
+sympy.polys.sqfreetools.dup_sqf_list_include(f, K, all=False)[source]
 
    Return square-free decomposition of a polynomial in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5630,7 +5630,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_sqf_list(f, u, K, all=False)[source]
    
+sympy.polys.sqfreetools.dmp_sqf_list(f, u, K, all=False)[source]
 
    Return square-free decomposition of a polynomial in \(K[X]\).
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5668,7 +5668,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_sqf_list_include(f, u, K, all=False)[source]
    
+sympy.polys.sqfreetools.dmp_sqf_list_include(f, u, K, all=False)[source]
 
    Return square-free decomposition of a polynomial in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5688,7 +5688,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dup_gff_list(f, K)[source]
    
+sympy.polys.sqfreetools.dup_gff_list(f, K)[source]
 
    Compute greatest factorial factorization of f in K[x].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5703,7 +5703,7 @@ 
    Subresultant sequence
 
    
-sympy.polys.sqfreetools.dmp_gff_list(f, u, K)[source]
    
+sympy.polys.sqfreetools.dmp_gff_list(f, u, K)[source]
 
    Compute greatest factorial factorization of f in K[X].
    
 
    Examples
    
 
    >>> from sympy.polys import ring, ZZ
@@ -5723,7 +5723,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.groebnertools.groebner(seq, ring, method=None)[source]
    
+sympy.polys.groebnertools.groebner(seq, ring, method=None)[source]
 
    Computes Groebner basis for a set of polynomials in \(K[X]\).
    
 
    Wrapper around the (default) improved Buchberger and the other algorithms
 for computing Groebner bases. The choice of algorithm can be changed via
@@ -5733,14 +5733,14 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.groebnertools.spoly(p1, p2, ring)[source]
    
+sympy.polys.groebnertools.spoly(p1, p2, ring)[source]
 
    Compute LCM(LM(p1), LM(p2))/LM(p1)*p1 - LCM(LM(p1), LM(p2))/LM(p2)*p2
 This is the S-poly provided p1 and p2 are monic
    
 
    
 
 
    
 
    
-sympy.polys.groebnertools.red_groebner(G, ring)[source]
    
+sympy.polys.groebnertools.red_groebner(G, ring)[source]
 
    Compute reduced Groebner basis, from BeckerWeispfenning93, p. 216
    
 
    Selects a subset of generators, that already generate the ideal
 and computes a reduced Groebner basis for them.
    
@@ -5748,25 +5748,25 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.groebnertools.is_groebner(G, ring)[source]
    
+sympy.polys.groebnertools.is_groebner(G, ring)[source]
 
    Check if G is a Groebner basis.
    
 
    
 
 
    
 
    
-sympy.polys.groebnertools.is_minimal(G, ring)[source]
    
+sympy.polys.groebnertools.is_minimal(G, ring)[source]
 
    Checks if G is a minimal Groebner basis.
    
 
    
 
 
    
 
    
-sympy.polys.groebnertools.is_reduced(G, ring)[source]
    
+sympy.polys.groebnertools.is_reduced(G, ring)[source]
 
    Checks if G is a reduced Groebner basis.
    
 
    
 
 
    
 
    
-sympy.polys.fglmtools.matrix_fglm(F, ring, O_to)[source]
    
+sympy.polys.fglmtools.matrix_fglm(F, ring, O_to)[source]
 
    Converts the reduced Groebner basis F of a zero-dimensional
 ideal w.r.t. O_from to a reduced Groebner basis
 w.r.t. O_to.
    
@@ -5784,7 +5784,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.distributedmodules.sdm_spoly(f, g, O, K, phantom=None)[source]
    
+sympy.polys.distributedmodules.sdm_spoly(f, g, O, K, phantom=None)[source]
 
    Compute the generalized s-polynomial of f and g.
    
 
    The ground field is assumed to be K, and monomials ordered according to
 O.
    
@@ -5812,7 +5812,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.distributedmodules.sdm_ecart(f)[source]
    
+sympy.polys.distributedmodules.sdm_ecart(f)[source]
 
    Compute the ecart of f.
    
 
    This is defined to be the difference of the total degree of \(f\) and the
 total degree of the leading monomial of \(f\) [SCA, defn 2.3.7].
    
@@ -5829,7 +5829,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.distributedmodules.sdm_nf_mora(f, G, O, K, phantom=None)[source]
    
+sympy.polys.distributedmodules.sdm_nf_mora(f, G, O, K, phantom=None)[source]
 
    Compute a weak normal form of f with respect to G and order O.
    
 
    The ground field is assumed to be K, and monomials ordered according to
 O.
    
@@ -5851,7 +5851,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.distributedmodules.sdm_groebner(G, NF, O, K, extended=False)[source]
    
+sympy.polys.distributedmodules.sdm_groebner(G, NF, O, K, extended=False)[source]
 
    Compute a minimal standard basis of G with respect to order O.
    
 
    The algorithm uses a normal form NF, for example sdm_nf_mora.
 The ground field is assumed to be K, and monomials ordered according
@@ -5880,7 +5880,7 @@ 
    Groebner basis algorithmsPoly and public API functions.
    
 
    
 
    
-class sympy.polys.polyoptions.Options(gens, args, flags=None, strict=False)[source]
    
+class sympy.polys.polyoptions.Options(gens, args, flags=None, strict=False)[source]
 
    Options manager for polynomial manipulation module.
    
 
    Examples
    
 
    >>> from sympy.polys.polyoptions import Options
@@ -5928,7 +5928,7 @@ 
    Groebner basis algorithms
 
    
-clone(updates={})[source]
    
+clone(updates={})[source]
 
    Clone self and update specified options.
    
 
    
 
@@ -5936,7 +5936,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.polyoptions.build_options(gens, args=None)[source]
    
+sympy.polys.polyoptions.build_options(gens, args=None)[source]
 
    Construct options from keyword arguments or … options.
    
 
    
 
@@ -5946,7 +5946,7 @@ 
    Groebner basis algorithms
 
    
-sympy.polys.polyconfig.setup(key, value=None)[source]
    
+sympy.polys.polyconfig.setup(key, value=None)[source]
 
    Assign a value to (or reset) a configuration item.
    
 
    
 
@@ -5957,123 +5957,123 @@ 
    Exceptions
 
    
-class sympy.polys.polyerrors.BasePolynomialError[source]
    
+class sympy.polys.polyerrors.BasePolynomialError[source]
 
    Base class for polynomial related exceptions.
    
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.ExactQuotientFailed(f, g, dom=None)[source]
    
+class sympy.polys.polyerrors.ExactQuotientFailed(f, g, dom=None)[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.OperationNotSupported(poly, func)[source]
    
+class sympy.polys.polyerrors.OperationNotSupported(poly, func)[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.HeuristicGCDFailed[source]
    
+class sympy.polys.polyerrors.HeuristicGCDFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.HomomorphismFailed[source]
    
+class sympy.polys.polyerrors.HomomorphismFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.IsomorphismFailed[source]
    
+class sympy.polys.polyerrors.IsomorphismFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.ExtraneousFactors[source]
    
+class sympy.polys.polyerrors.ExtraneousFactors[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.EvaluationFailed[source]
    
+class sympy.polys.polyerrors.EvaluationFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.RefinementFailed[source]
    
+class sympy.polys.polyerrors.RefinementFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.CoercionFailed[source]
    
+class sympy.polys.polyerrors.CoercionFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.NotInvertible[source]
    
+class sympy.polys.polyerrors.NotInvertible[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.NotReversible[source]
    
+class sympy.polys.polyerrors.NotReversible[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.NotAlgebraic[source]
    
+class sympy.polys.polyerrors.NotAlgebraic[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.DomainError[source]
    
+class sympy.polys.polyerrors.DomainError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.PolynomialError[source]
    
+class sympy.polys.polyerrors.PolynomialError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.UnificationFailed[source]
    
+class sympy.polys.polyerrors.UnificationFailed[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.GeneratorsNeeded[source]
    
+class sympy.polys.polyerrors.GeneratorsNeeded[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.ComputationFailed(func, nargs, exc)[source]
    
+class sympy.polys.polyerrors.ComputationFailed(func, nargs, exc)[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.GeneratorsError[source]
    
+class sympy.polys.polyerrors.GeneratorsError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.UnivariatePolynomialError[source]
    
+class sympy.polys.polyerrors.UnivariatePolynomialError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.MultivariatePolynomialError[source]
    
+class sympy.polys.polyerrors.MultivariatePolynomialError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.PolificationFailed(opt, origs, exprs, seq=False)[source]
    
+class sympy.polys.polyerrors.PolificationFailed(opt, origs, exprs, seq=False)[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.OptionError[source]
    
+class sympy.polys.polyerrors.OptionError[source]
 
    
 
 
    
 
    
-class sympy.polys.polyerrors.FlagError[source]
    
+class sympy.polys.polyerrors.FlagError[source]
 
    
 
 
@@ -6083,7 +6083,7 @@ 
    Reference
    
 
    
 
    
-sympy.polys.modulargcd.modgcd_univariate(f, g)[source]
    
+sympy.polys.modulargcd.modgcd_univariate(f, g)[source]
 
    Computes the GCD of two polynomials in \(\mathbb{Z}[x]\) using a modular
 algorithm.
    
 
    The algorithm computes the GCD of two univariate integer polynomials
@@ -6163,7 +6163,7 @@ 
    Modular GCD
 
    
-sympy.polys.modulargcd.modgcd_bivariate(f, g)[source]
    
+sympy.polys.modulargcd.modgcd_bivariate(f, g)[source]
 
    Computes the GCD of two polynomials in \(\mathbb{Z}[x, y]\) using a
 modular algorithm.
    
 
    The algorithm computes the GCD of two bivariate integer polynomials
@@ -6249,7 +6249,7 @@ 
    Modular GCD
 
    
-sympy.polys.modulargcd.modgcd_multivariate(f, g)[source]
    
+sympy.polys.modulargcd.modgcd_multivariate(f, g)[source]
 
    Compute the GCD of two polynomials in \(\mathbb{Z}[x_0, \ldots, x_{k-1}]\)
 using a modular algorithm.
    
 
    The algorithm computes the GCD of two multivariate integer polynomials
@@ -6350,7 +6350,7 @@ 
    Modular GCDcontbound,
    
 
    
 
-)[source]
+)[source]
 
    Compute the GCD of two polynomials in
 \(\mathbb{Z}_p[x_0, \ldots, x_{k-1}]\).
    
 
    The algorithm reduces the problem step by step by evaluating the
@@ -6407,7 +6407,7 @@ 
    Modular GCD
 
    
-sympy.polys.modulargcd.func_field_modgcd(f, g)[source]
    
+sympy.polys.modulargcd.func_field_modgcd(f, g)[source]
 
    Compute the GCD of two polynomials \(f\) and \(g\) in
 \(\mathbb Q(\alpha)[x_0, \ldots, x_{n-1}]\) using a modular algorithm.
    
 
    The algorithm first computes the primitive associate
diff --git a/dev/modules/polys/numberfields.html b/dev/modules/polys/numberfields.html
index 66a70325b61..ddaaed9b731 100644
--- a/dev/modules/polys/numberfields.html
+++ b/dev/modules/polys/numberfields.html
@@ -923,7 +923,7 @@ 
    Solving the Main Problems
    
 
    
 
    
-sympy.polys.numberfields.basis.round_two(T, radicals=None)[source]
    
+sympy.polys.numberfields.basis.round_two(T, radicals=None)[source]
 
    Zassenhaus’s “Round 2” algorithm.
    
 
    
 
    Parameters:
    
@@ -1025,7 +1025,7 @@ 
    Prime Decompositionradical=None,
    
 
    
 
-)[source]
+)[source]
 
    Compute the decomposition of rational prime p in a number field.
    
 
    
 
    Parameters:
    
@@ -1082,11 +1082,11 @@ 
    Prime Decomposition
 
    
-class sympy.polys.numberfields.primes.PrimeIdeal(ZK, p, alpha, f, e=None)[source]
    
+class sympy.polys.numberfields.primes.PrimeIdeal(ZK, p, alpha, f, e=None)[source]
 
    A prime ideal in a ring of algebraic integers.
    
 
    
 
    
-__init__(ZK, p, alpha, f, e=None)[source]
    
+__init__(ZK, p, alpha, f, e=None)[source]
 
    
 
    Parameters:
    
 
    ZK : Submodule
    
@@ -1116,7 +1116,7 @@ 
    Prime Decomposition
 
    
-__add__(other)[source]
    
+__add__(other)[source]
 
    Convert to a Submodule and add to another
 Submodule.
    
 
    
@@ -1127,7 +1127,7 @@ 
    Prime Decomposition
 
    
-__mul__(other)[source]
    
+__mul__(other)[source]
 
    Convert to a Submodule and multiply by another
 Submodule or a rational number.
    
 
    
@@ -1138,7 +1138,7 @@ 
    Prime Decomposition
 
    
-as_submodule()[source]
    
+as_submodule()[source]
 
    Represent this prime ideal as a Submodule.
    
 
    
 
    Returns:
    
@@ -1194,7 +1194,7 @@ 
    Prime Decomposition
 
    
-reduce_ANP(a)[source]
    
+reduce_ANP(a)[source]
 
    Reduce an ANP to a “small representative” modulo this
 prime ideal.
    
 
    
@@ -1219,7 +1219,7 @@ 
    Prime Decomposition
 
    
-reduce_alg_num(a)[source]
    
+reduce_alg_num(a)[source]
 
    Reduce an AlgebraicNumber to a “small representative”
 modulo this prime ideal.
    
 
    
@@ -1244,7 +1244,7 @@ 
    Prime Decomposition
 
    
-reduce_element(elt)[source]
    
+reduce_element(elt)[source]
 
    Reduce a PowerBasisElement to a “small representative”
 modulo this prime ideal.
    
 
    
@@ -1269,7 +1269,7 @@ 
    Prime Decomposition
 
    
-repr(field_gen=None, just_gens=False)[source]
    
+repr(field_gen=None, just_gens=False)[source]
 
    Print a representation of this prime ideal.
    
 
    
 
    Parameters:
    
@@ -1306,7 +1306,7 @@ 
    Prime Decomposition
 
    
-test_factor()[source]
    
+test_factor()[source]
 
    Compute a test factor for this prime ideal.
    
 
    Explanation
    
 
    Write \(\mathfrak{p}\) for this prime ideal, \(p\) for the rational prime
@@ -1320,7 +1320,7 @@ 
    Prime Decomposition
 
    
-valuation(I)[source]
    
+valuation(I)[source]
 
    Compute the \(\mathfrak{p}\)-adic valuation of integral ideal I at this
 prime ideal.
    
 
    
@@ -1341,7 +1341,7 @@ 
    Prime Decomposition
    
 
    
 
    
-sympy.polys.numberfields.primes.prime_valuation(I, P)[source]
    
+sympy.polys.numberfields.primes.prime_valuation(I, P)[source]
 
    Compute the P-adic valuation for an integral ideal I.
    
 
    
 
    Parameters:
    
@@ -1398,7 +1398,7 @@ 
    Galois Groups**args,
    
 
    
 
-)[source]
+)[source]
 
    Compute the Galois group for polynomials f up to degree 6.
    
 
    
 
    Parameters:
    
@@ -1518,7 +1518,7 @@ 
    Finding Minimal Polynomialsdomain=None,
    
 
    
 
-)[source]
+)[source]
 
    Computes the minimal polynomial of an algebraic element.
    
 
    
 
    Parameters:
    
@@ -1584,7 +1584,7 @@ 
    Finding Minimal Polynomialsdomain=None,
    
 
    
 
-)[source]
+)[source]
 
    This is a synonym for minimal_polynomial().
    
 
    
 
@@ -1622,7 +1622,7 @@ 
    The Subfield Problem
 
    
 
    
-sympy.polys.numberfields.subfield.field_isomorphism(a, b, *, fast=True)[source]
    
+sympy.polys.numberfields.subfield.field_isomorphism(a, b, *, fast=True)[source]
 
    Find an embedding of one number field into another.
    
 
    
 
    Parameters:
    
@@ -1679,7 +1679,7 @@ 
    The Subfield Problempolys=False,
    
 
    
 
-)[source]
+)[source]
 
    Find a single generator for a number field given by several generators.
    
 
    
 
    Parameters:
    
@@ -1774,7 +1774,7 @@ 
    The Subfield Problemalias=None,
    
 
    
 
-)[source]
+)[source]
 
    Express one algebraic number in the field generated by another.
    
 
    
 
    Parameters:
    
@@ -2059,7 +2059,7 @@ 
    Module HomomorphismsClass Reference
    
 
    
 
    
-class sympy.polys.numberfields.modules.Module[source]
    
+class sympy.polys.numberfields.modules.Module[source]
 
    Generic finitely-generated module.
    
 
    This is an abstract base class, and should not be instantiated directly.
 The two concrete subclasses are PowerBasis and
@@ -2072,7 +2072,7 @@ 
    Class ReferencePowerBasis.
    
 
    
 
    
-__call__(spec, denom=1)[source]
    
+__call__(spec, denom=1)[source]
 
    Generate a ModuleElement belonging to this module.
    
 
    
 
    Parameters:
    
@@ -2116,7 +2116,7 @@ 
    Class Reference
 
    
-ancestors(include_self=False)[source]
    
+ancestors(include_self=False)[source]
 
    Return the list of ancestor modules of this module, from the
 foundational PowerBasis downward, optionally including
 self.
    
@@ -2128,14 +2128,14 @@ 
    Class Reference
 
    
-basis_elements()[source]
    
+basis_elements()[source]
 
    Get list of ModuleElement being the generators of this
 module.
    
 
    
 
 
    
 
    
-element_from_rational(a)[source]
    
+element_from_rational(a)[source]
 
    Return a ModuleElement representing a rational number.
    
 
    
 
    Parameters:
    
@@ -2163,19 +2163,19 @@ 
    Class Reference
 
    
-endomorphism_ring()[source]
    
+endomorphism_ring()[source]
 
    Form the EndomorphismRing for this module.
    
 
    
 
 
    
 
    
-is_compat_col(col)[source]
    
+is_compat_col(col)[source]
 
    Say whether col is a suitable column vector for this module.
    
 
    
 
 
    
 
    
-mult_tab()[source]
    
+mult_tab()[source]
 
    Get the multiplication table for this module (if closed under mult).
    
 
    
 
    Returns:
    
@@ -2218,7 +2218,7 @@ 
    Class Reference
 
    
-nearest_common_ancestor(other)[source]
    
+nearest_common_ancestor(other)[source]
 
    Locate the nearest common ancestor of this module and another.
    
 
    
 
    Returns:
    
@@ -2250,7 +2250,7 @@ 
    Class Reference
 
    
-one()[source]
    
+one()[source]
 
    Return a ModuleElement representing unity,
 and belonging to the first ancestor of this module (including
 itself) that starts with unity.
    
@@ -2276,7 +2276,7 @@ 
    Class Reference
 
    
-power_basis_ancestor()[source]
    
+power_basis_ancestor()[source]
 
    Return the PowerBasis that is an ancestor of this module.
    
 
    
 
    See also
    
@@ -2286,7 +2286,7 @@ 
    Class Reference
 
    
-represent(elt)[source]
    
+represent(elt)[source]
 
    Represent a module element as an integer-linear combination over the
 generators of this module.
    
 
    
@@ -2367,7 +2367,7 @@ 
    Class Reference
 
    
-starts_with_unity()[source]
    
+starts_with_unity()[source]
 
    Say whether the module’s first generator equals unity.
    
 
    
 
@@ -2381,7 +2381,7 @@ 
    Class Referencehnf_modulus=None,
    
 
    
 
-)[source]
+)[source]
 
    Form the submodule generated by a list of ModuleElement
 belonging to this module.
    
 
    
@@ -2421,7 +2421,7 @@ 
    Class Reference
 
    
-submodule_from_matrix(B, denom=1)[source]
    
+submodule_from_matrix(B, denom=1)[source]
 
    Form the submodule generated by the elements of this module indicated
 by the columns of a matrix, with an optional denominator.
    
 
    
@@ -2470,7 +2470,7 @@ 
    Class Reference
 
    
-whole_submodule()[source]
    
+whole_submodule()[source]
 
    Return a submodule equal to this entire module.
    
 
    Explanation
    
 
    This is useful when you have a PowerBasis and want to
@@ -2480,7 +2480,7 @@ 
    Class Reference
 
    
-zero()[source]
    
+zero()[source]
 
    Return a ModuleElement representing zero.
    
 
    
 
@@ -2488,11 +2488,11 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.PowerBasis(T)[source]
    
+class sympy.polys.numberfields.modules.PowerBasis(T)[source]
 
    The module generated by the powers of an algebraic integer.
    
 
    
 
    
-__init__(T)[source]
    
+__init__(T)[source]
 
    
 
    Parameters:
    
 
    T : Poly, AlgebraicField
    
@@ -2508,19 +2508,19 @@ 
    Class Reference
 
    
-element_from_ANP(a)[source]
    
+element_from_ANP(a)[source]
 
    Convert an ANP into a PowerBasisElement.
    
 
    
 
 
    
 
    
-element_from_alg_num(a)[source]
    
+element_from_alg_num(a)[source]
 
    Convert an AlgebraicNumber into a PowerBasisElement.
    
 
    
 
 
    
 
    
-element_from_poly(f)[source]
    
+element_from_poly(f)[source]
 
    Produce an element of this module, representing f after reduction mod
 our defining minimal polynomial.
    
 
    
@@ -2535,7 +2535,7 @@ 
    Class Reference
 
    
-represent(elt)[source]
    
+represent(elt)[source]
 
    Represent a module element as an integer-linear combination over the
 generators of this module.
    
 
    
@@ -2548,7 +2548,7 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.Submodule(parent, matrix, denom=1, mult_tab=None)[source]
    
+class sympy.polys.numberfields.modules.Submodule(parent, matrix, denom=1, mult_tab=None)[source]
 
    A submodule of another module.
    
 
    
 
    
@@ -2561,7 +2561,7 @@ 
    Class Referencemult_tab=None,
    
 
    
 
-)[source]
+)[source]
 
    
 
    Parameters:
    
 
    parent : Module
    
@@ -2618,7 +2618,7 @@ 
    Class Reference
 
    
-add(other, hnf=True, hnf_modulus=None)[source]
    
+add(other, hnf=True, hnf_modulus=None)[source]
 
    Add this Submodule to another.
    
 
    
 
    Parameters:
    
@@ -2646,21 +2646,21 @@ 
    Class Reference
 
    
-basis_element_pullbacks()[source]
    
+basis_element_pullbacks()[source]
 
    Return list of this submodule’s basis elements as elements of the
 submodule’s parent module.
    
 
    
 
 
    
 
    
-discard_before(r)[source]
    
+discard_before(r)[source]
 
    Produce a new module by discarding all generators before a given
 index r.
    
 
    
 
 
    
 
    
-mul(other, hnf=True, hnf_modulus=None)[source]
    
+mul(other, hnf=True, hnf_modulus=None)[source]
 
    Multiply this Submodule by a rational number, a
 ModuleElement, or another Submodule.
    
 
    
@@ -2693,7 +2693,7 @@ 
    Class Reference
 
    
-reduce_element(elt)[source]
    
+reduce_element(elt)[source]
 
    If this submodule \(B\) has defining matrix \(W\) in square, maximal-rank
 Hermite normal form, then, given an element \(x\) of the parent module
 \(A\), we produce an element \(y \in A\) such that \(x - y \in B\), and the
@@ -2756,7 +2756,7 @@ 
    Class Reference
 
    
-reduced()[source]
    
+reduced()[source]
 
    Produce a reduced version of this submodule.
    
 
    
 
    Returns:
    
@@ -2771,7 +2771,7 @@ 
    Class Reference
 
    
-represent(elt)[source]
    
+represent(elt)[source]
 
    Represent a module element as an integer-linear combination over the
 generators of this module.
    
 
    
@@ -2784,14 +2784,14 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.ModuleElement(module, col, denom=1)[source]
    
+class sympy.polys.numberfields.modules.ModuleElement(module, col, denom=1)[source]
 
    Represents an element of a Module.
    
 
    NOTE: Should not be constructed directly. Use the
 __call__() method or the make_mod_elt()
 factory function instead.
    
 
    
 
    
-__init__(module, col, denom=1)[source]
    
+__init__(module, col, denom=1)[source]
 
    
 
    Parameters:
    
 
    module : Module
    
@@ -2813,7 +2813,7 @@ 
    Class Reference
 
    
-__add__(other)[source]
    
+__add__(other)[source]
 
    A ModuleElement can be added to a rational number, or to
 another ModuleElement.
    
 
    Explanation
    
@@ -2827,7 +2827,7 @@ 
    Class Reference
 
    
-__mul__(other)[source]
    
+__mul__(other)[source]
 
    A ModuleElement can be multiplied by a rational number,
 or by another ModuleElement.
    
 
    Explanation
    
@@ -2843,7 +2843,7 @@ 
    Class Reference
 
    
-__mod__(m)[source]
    
+__mod__(m)[source]
 
    Reduce this ModuleElement mod a Submodule.
    
 
    
 
    Parameters:
    
@@ -2874,13 +2874,13 @@ 
    Class Reference
 
    
-column(domain=None)[source]
    
+column(domain=None)[source]
 
    Get a copy of this element’s column, optionally converting to a domain.
    
 
    
 
 
    
 
    
-equiv(other)[source]
    
+equiv(other)[source]
 
    A ModuleElement may test as equivalent to a rational
 number or another ModuleElement, if they represent the
 same algebraic number.
    
@@ -2918,14 +2918,14 @@ 
    Class Referencedenom=1,
    
 
    
 
-)[source]
+)[source]
 
    Make a ModuleElement from a list of ints (instead of a
 column vector).
    
 
    
 
 
    
 
    
-is_compat(other)[source]
    
+is_compat(other)[source]
 
    Test whether other is another ModuleElement with same
 module.
    
 
    
@@ -2938,28 +2938,28 @@ 
    Class Reference
 
    
-over_power_basis()[source]
    
+over_power_basis()[source]
 
    Transform into a PowerBasisElement over our
 PowerBasis ancestor.
    
 
    
 
 
    
 
    
-reduced()[source]
    
+reduced()[source]
 
    Produce a reduced version of this ModuleElement, i.e. one in which the
 gcd of the denominator together with all numerator coefficients is 1.
    
 
    
 
 
    
 
    
-reduced_mod_p(p)[source]
    
+reduced_mod_p(p)[source]
 
    Produce a version of this ModuleElement in which all
 numerator coefficients have been reduced mod p.
    
 
    
 
 
    
 
    
-to_ancestor(anc)[source]
    
+to_ancestor(anc)[source]
 
    Transform into a ModuleElement belonging to a given
 ancestor of this element’s module.
    
 
    
@@ -2971,14 +2971,14 @@ 
    Class Reference
 
    
-to_parent()[source]
    
+to_parent()[source]
 
    Transform into a ModuleElement belonging to the parent of
 this element’s module.
    
 
    
 
 
    
 
    
-unify(other)[source]
    
+unify(other)[source]
 
    Try to make a compatible pair of ModuleElement, one
 equivalent to this one, and one equivalent to the other.
    
 
    
@@ -3006,7 +3006,7 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.PowerBasisElement(module, col, denom=1)[source]
    
+class sympy.polys.numberfields.modules.PowerBasisElement(module, col, denom=1)[source]
 
    Subclass for ModuleElement instances whose module is a
 PowerBasis.
    
 
    
@@ -3017,7 +3017,7 @@ 
    Class Reference
 
    
-as_expr(x=None)[source]
    
+as_expr(x=None)[source]
 
    Create a Basic expression from self.
    
 
    
 
@@ -3039,31 +3039,31 @@ 
    Class Reference
 
    
-norm(T=None)[source]
    
+norm(T=None)[source]
 
    Compute the norm of this number.
    
 
    
 
 
    
 
    
-numerator(x=None)[source]
    
+numerator(x=None)[source]
 
    Obtain the numerator as a polynomial over ZZ.
    
 
    
 
 
    
 
    
-poly(x=None)[source]
    
+poly(x=None)[source]
 
    Obtain the number as a polynomial over QQ.
    
 
    
 
 
    
 
    
-to_ANP()[source]
    
+to_ANP()[source]
 
    Convert to an equivalent ANP.
    
 
    
 
 
    
 
    
-to_alg_num()[source]
    
+to_alg_num()[source]
 
    Try to convert to an equivalent AlgebraicNumber.
    
 
    
 
    Returns:
    
@@ -3092,7 +3092,7 @@ 
    Class Reference
 
    
-sympy.polys.numberfields.modules.make_mod_elt(module, col, denom=1)[source]
    
+sympy.polys.numberfields.modules.make_mod_elt(module, col, denom=1)[source]
 
    Factory function which builds a ModuleElement, but ensures
 that it is a PowerBasisElement if the module is a
 PowerBasis.
    
@@ -3100,7 +3100,7 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.ModuleHomomorphism(domain, codomain, mapping)[source]
    
+class sympy.polys.numberfields.modules.ModuleHomomorphism(domain, codomain, mapping)[source]
 
    A homomorphism from one module to another.
    
 
    
 
    
@@ -3112,7 +3112,7 @@ 
    Class Referencemapping,
    
 
    
 
-)[source]
+)[source]
 
    
 
    Parameters:
    
 
    domain : Module
    
@@ -3146,7 +3146,7 @@ 
    Class Reference
 
    
-kernel(modulus=None)[source]
    
+kernel(modulus=None)[source]
 
    Compute a Submodule representing the kernel of this homomorphism.
    
 
    
 
    Parameters:
    
@@ -3169,7 +3169,7 @@ 
    Class Reference
 
    
-matrix(modulus=None)[source]
    
+matrix(modulus=None)[source]
 
    Compute the matrix of this homomorphism.
    
 
    
 
    Parameters:
    
@@ -3193,11 +3193,11 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.ModuleEndomorphism(domain, mapping)[source]
    
+class sympy.polys.numberfields.modules.ModuleEndomorphism(domain, mapping)[source]
 
    A homomorphism from one module to itself.
    
 
    
 
    
-__init__(domain, mapping)[source]
    
+__init__(domain, mapping)[source]
 
    
 
    Parameters:
    
 
    domain : Module
    
@@ -3218,12 +3218,12 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.InnerEndomorphism(domain, multiplier)[source]
    
+class sympy.polys.numberfields.modules.InnerEndomorphism(domain, multiplier)[source]
 
    An inner endomorphism on a module, i.e. the endomorphism corresponding to
 multiplication by a fixed element.
    
 
    
 
    
-__init__(domain, multiplier)[source]
    
+__init__(domain, multiplier)[source]
 
    
 
    Parameters:
    
 
    domain : Module
    
@@ -3242,11 +3242,11 @@ 
    Class Reference
 
    
-class sympy.polys.numberfields.modules.EndomorphismRing(domain)[source]
    
+class sympy.polys.numberfields.modules.EndomorphismRing(domain)[source]
 
    The ring of endomorphisms on a module.
    
 
    
 
    
-__init__(domain)[source]
    
+__init__(domain)[source]
 
    
 
    Parameters:
    
 
    domain : Module
    
@@ -3259,7 +3259,7 @@ 
    Class Reference
 
    
-inner_endomorphism(multiplier)[source]
    
+inner_endomorphism(multiplier)[source]
 
    Form an inner endomorphism belonging to this endomorphism ring.
    
 
    
 
    Parameters:
    
@@ -3276,7 +3276,7 @@ 
    Class Reference
 
    
-represent(element)[source]
    
+represent(element)[source]
 
    Represent an element of this endomorphism ring, as a single column
 vector.
    
 
    
@@ -3358,7 +3358,7 @@ 
    Class Reference
 
    
-sympy.polys.numberfields.modules.find_min_poly(alpha, domain, x=None, powers=None)[source]
    
+sympy.polys.numberfields.modules.find_min_poly(alpha, domain, x=None, powers=None)[source]
 
    Find a polynomial of least degree (not necessarily irreducible) satisfied
 by an element of a finitely-generated ring with unity.
    
 
    
@@ -3434,7 +3434,7 @@ 
    Class Reference
    
 
    
 
    
-sympy.polys.numberfields.utilities.is_rat(c)[source]
    
+sympy.polys.numberfields.utilities.is_rat(c)[source]
 
    Test whether an argument is of an acceptable type to be used as a rational
 number.
    
 
    Explanation
    
@@ -3447,7 +3447,7 @@ 
    Utilities
 
    
-sympy.polys.numberfields.utilities.is_int(c)[source]
    
+sympy.polys.numberfields.utilities.is_int(c)[source]
 
    Test whether an argument is of an acceptable type to be used as an integer.
    
 
    Explanation
    
 
    Returns True on any argument of type int or ZZ.
    
@@ -3459,7 +3459,7 @@ 
    Utilities
 
    
-sympy.polys.numberfields.utilities.get_num_denom(c)[source]
    
+sympy.polys.numberfields.utilities.get_num_denom(c)[source]
 
    Given any argument on which is_rat() is True, return the
 numerator and denominator of this number.
    
 
    
@@ -3470,7 +3470,7 @@ 
    Utilities
 
    
-sympy.polys.numberfields.utilities.extract_fundamental_discriminant(a)[source]
    
+sympy.polys.numberfields.utilities.extract_fundamental_discriminant(a)[source]
 
    Extract a fundamental discriminant from an integer a.
    
 
    
 
    Parameters:
    
@@ -3519,7 +3519,7 @@ 
    Utilities
 
    
-class sympy.polys.numberfields.utilities.AlgIntPowers(T, modulus=None)[source]
    
+class sympy.polys.numberfields.utilities.AlgIntPowers(T, modulus=None)[source]
 
    Compute the powers of an algebraic integer.
    
 
    Explanation
    
 
    Given an algebraic integer \(\theta\) by its monic irreducible polynomial
@@ -3553,7 +3553,7 @@ 
    Utilities
 
    
-__init__(T, modulus=None)[source]
    
+__init__(T, modulus=None)[source]
 
    
 
    Parameters:
    
 
    T : Poly
    
@@ -3573,7 +3573,7 @@ 
    Utilities
 
+sympy.polys.numberfields.utilities.coeff_search(m, R)[source]
 
    Generate coefficients for searching through polynomials.
    
 
    
 
    Parameters:
    
@@ -3610,7 +3610,7 @@ 
    Utilities
 
    
-sympy.polys.numberfields.utilities.supplement_a_subspace(M)[source]
    
+sympy.polys.numberfields.utilities.supplement_a_subspace(M)[source]
 
    Extend a basis for a subspace to a basis for the whole space.
    
 
    
 
    Parameters:
    
@@ -3676,7 +3676,7 @@ 
    Utilities
 
    
-sympy.polys.numberfields.utilities.isolate(alg, eps=None, fast=False)[source]
    
+sympy.polys.numberfields.utilities.isolate(alg, eps=None, fast=False)[source]
 
    Find a rational isolating interval for a real algebraic number.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/polys/reference.html b/dev/modules/polys/reference.html
index 12d24a59501..e1aff41c4ce 100644
--- a/dev/modules/polys/reference.html
+++ b/dev/modules/polys/reference.html
@@ -807,7 +807,7 @@ 
    Documentation Version
    
 
    Basic polynomial manipulation functions
    
 
    
 
    
-sympy.polys.polytools.poly(expr, *gens, **args)[source]
    
+sympy.polys.polytools.poly(expr, *gens, **args)[source]
 
    Efficiently transform an expression into a polynomial.
    
 
    Examples
    
 
    >>> from sympy import poly
@@ -822,19 +822,19 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.poly_from_expr(expr, *gens, **args)[source]
    
+sympy.polys.polytools.poly_from_expr(expr, *gens, **args)[source]
 
    Construct a polynomial from an expression.
    
 
    
 
 
    
 
    
-sympy.polys.polytools.parallel_poly_from_expr(exprs, *gens, **args)[source]
    
+sympy.polys.polytools.parallel_poly_from_expr(exprs, *gens, **args)[source]
 
    Construct polynomials from expressions.
    
 
    
 
 
    
 
    
-sympy.polys.polytools.degree(f, gen=0)[source]
    
+sympy.polys.polytools.degree(f, gen=0)[source]
 
    Return the degree of f in the given variable.
    
 
    The degree of 0 is negative infinity.
    
 
    Examples
    
@@ -858,7 +858,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.degree_list(f, *gens, **args)[source]
    
+sympy.polys.polytools.degree_list(f, *gens, **args)[source]
 
    Return a list of degrees of f in all variables.
    
 
    Examples
    
 
    >>> from sympy import degree_list
@@ -873,7 +873,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.LC(f, *gens, **args)[source]
    
+sympy.polys.polytools.LC(f, *gens, **args)[source]
 
    Return the leading coefficient of f.
    
 
    Examples
    
 
    >>> from sympy import LC
@@ -888,7 +888,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.LM(f, *gens, **args)[source]
    
+sympy.polys.polytools.LM(f, *gens, **args)[source]
 
    Return the leading monomial of f.
    
 
    Examples
    
 
    >>> from sympy import LM
@@ -903,7 +903,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.LT(f, *gens, **args)[source]
    
+sympy.polys.polytools.LT(f, *gens, **args)[source]
 
    Return the leading term of f.
    
 
    Examples
    
 
    >>> from sympy import LT
@@ -918,7 +918,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.pdiv(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.pdiv(f, g, *gens, **args)[source]
 
    Compute polynomial pseudo-division of f and g.
    
 
    Examples
    
 
    >>> from sympy import pdiv
@@ -933,7 +933,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.prem(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.prem(f, g, *gens, **args)[source]
 
    Compute polynomial pseudo-remainder of f and g.
    
 
    Examples
    
 
    >>> from sympy import prem
@@ -948,7 +948,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.pquo(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.pquo(f, g, *gens, **args)[source]
 
    Compute polynomial pseudo-quotient of f and g.
    
 
    Examples
    
 
    >>> from sympy import pquo
@@ -965,7 +965,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.pexquo(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.pexquo(f, g, *gens, **args)[source]
 
    Compute polynomial exact pseudo-quotient of f and g.
    
 
    Examples
    
 
    >>> from sympy import pexquo
@@ -986,7 +986,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.div(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.div(f, g, *gens, **args)[source]
 
    Compute polynomial division of f and g.
    
 
    Examples
    
 
    >>> from sympy import div, ZZ, QQ
@@ -1003,7 +1003,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.rem(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.rem(f, g, *gens, **args)[source]
 
    Compute polynomial remainder of f and g.
    
 
    Examples
    
 
    >>> from sympy import rem, ZZ, QQ
@@ -1020,7 +1020,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.quo(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.quo(f, g, *gens, **args)[source]
 
    Compute polynomial quotient of f and g.
    
 
    Examples
    
 
    >>> from sympy import quo
@@ -1037,7 +1037,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.exquo(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.exquo(f, g, *gens, **args)[source]
 
    Compute polynomial exact quotient of f and g.
    
 
    Examples
    
 
    >>> from sympy import exquo
@@ -1058,7 +1058,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.half_gcdex(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.half_gcdex(f, g, *gens, **args)[source]
 
    Half extended Euclidean algorithm of f and g.
    
 
    Returns (s, h) such that h = gcd(f, g) and s*f = h (mod g).
    
 
    Examples
    
@@ -1074,7 +1074,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.gcdex(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.gcdex(f, g, *gens, **args)[source]
 
    Extended Euclidean algorithm of f and g.
    
 
    Returns (s, t, h) such that h = gcd(f, g) and s*f + t*g = h.
    
 
    Examples
    
@@ -1090,7 +1090,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.invert(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.invert(f, g, *gens, **args)[source]
 
    Invert f modulo g when possible.
    
 
    Examples
    
 
    >>> from sympy import invert, S, mod_inverse
@@ -1123,7 +1123,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.subresultants(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.subresultants(f, g, *gens, **args)[source]
 
    Compute subresultant PRS of f and g.
    
 
    Examples
    
 
    >>> from sympy import subresultants
@@ -1138,7 +1138,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.resultant(f, g, *gens, includePRS=False, **args)[source]
    
+sympy.polys.polytools.resultant(f, g, *gens, includePRS=False, **args)[source]
 
    Compute resultant of f and g.
    
 
    Examples
    
 
    >>> from sympy import resultant
@@ -1153,7 +1153,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.discriminant(f, *gens, **args)[source]
    
+sympy.polys.polytools.discriminant(f, *gens, **args)[source]
 
    Compute discriminant of f.
    
 
    Examples
    
 
    >>> from sympy import discriminant
@@ -1168,7 +1168,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.terms_gcd(f, *gens, **args)[source]
    
+sympy.polys.polytools.terms_gcd(f, *gens, **args)[source]
 
    Remove GCD of terms from f.
    
 
    If the deep flag is True, then the arguments of f will have
 terms_gcd applied to them.
    
@@ -1231,7 +1231,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.cofactors(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.cofactors(f, g, *gens, **args)[source]
 
    Compute GCD and cofactors of f and g.
    
 
    Returns polynomials (h, cff, cfg) such that h = gcd(f, g), and
 cff = quo(f, h) and cfg = quo(g, h) are, so called, cofactors
@@ -1249,7 +1249,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.gcd(f, g=None, *gens, **args)[source]
    
+sympy.polys.polytools.gcd(f, g=None, *gens, **args)[source]
 
    Compute GCD of f and g.
    
 
    Examples
    
 
    >>> from sympy import gcd
@@ -1264,7 +1264,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.gcd_list(seq, *gens, **args)[source]
    
+sympy.polys.polytools.gcd_list(seq, *gens, **args)[source]
 
    Compute GCD of a list of polynomials.
    
 
    Examples
    
 
    >>> from sympy import gcd_list
@@ -1279,7 +1279,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.lcm(f, g=None, *gens, **args)[source]
    
+sympy.polys.polytools.lcm(f, g=None, *gens, **args)[source]
 
    Compute LCM of f and g.
    
 
    Examples
    
 
    >>> from sympy import lcm
@@ -1294,7 +1294,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.lcm_list(seq, *gens, **args)[source]
    
+sympy.polys.polytools.lcm_list(seq, *gens, **args)[source]
 
    Compute LCM of a list of polynomials.
    
 
    Examples
    
 
    >>> from sympy import lcm_list
@@ -1309,7 +1309,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.trunc(f, p, *gens, **args)[source]
    
+sympy.polys.polytools.trunc(f, p, *gens, **args)[source]
 
    Reduce f modulo a constant p.
    
 
    Examples
    
 
    >>> from sympy import trunc
@@ -1324,7 +1324,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.monic(f, *gens, **args)[source]
    
+sympy.polys.polytools.monic(f, *gens, **args)[source]
 
    Divide all coefficients of f by LC(f).
    
 
    Examples
    
 
    >>> from sympy import monic
@@ -1339,7 +1339,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.content(f, *gens, **args)[source]
    
+sympy.polys.polytools.content(f, *gens, **args)[source]
 
    Compute GCD of coefficients of f.
    
 
    Examples
    
 
    >>> from sympy import content
@@ -1354,7 +1354,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.primitive(f, *gens, **args)[source]
    
+sympy.polys.polytools.primitive(f, *gens, **args)[source]
 
    Compute content and the primitive form of f.
    
 
    Examples
    
 
    >>> from sympy.polys.polytools import primitive
@@ -1388,7 +1388,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.compose(f, g, *gens, **args)[source]
    
+sympy.polys.polytools.compose(f, g, *gens, **args)[source]
 
    Compute functional composition f(g).
    
 
    Examples
    
 
    >>> from sympy import compose
@@ -1403,7 +1403,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.decompose(f, *gens, **args)[source]
    
+sympy.polys.polytools.decompose(f, *gens, **args)[source]
 
    Compute functional decomposition of f.
    
 
    Examples
    
 
    >>> from sympy import decompose
@@ -1418,7 +1418,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.sturm(f, *gens, **args)[source]
    
+sympy.polys.polytools.sturm(f, *gens, **args)[source]
 
    Compute Sturm sequence of f.
    
 
    Examples
    
 
    >>> from sympy import sturm
@@ -1433,7 +1433,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.gff_list(f, *gens, **args)[source]
    
+sympy.polys.polytools.gff_list(f, *gens, **args)[source]
 
    Compute a list of greatest factorial factors of f.
    
 
    Note that the input to ff() and rf() should be Poly instances to use the
 definitions here.
    
@@ -1468,13 +1468,13 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.gff(f, *gens, **args)[source]
    
+sympy.polys.polytools.gff(f, *gens, **args)[source]
 
    Compute greatest factorial factorization of f.
    
 
    
 
 
    
 
    
-sympy.polys.polytools.sqf_norm(f, *gens, **args)[source]
    
+sympy.polys.polytools.sqf_norm(f, *gens, **args)[source]
 
    Compute square-free norm of f.
    
 
    Returns s, f, r, such that g(x) = f(x-sa) and
 r(x) = Norm(g(x)) is a square-free polynomial over K,
@@ -1492,7 +1492,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.sqf_part(f, *gens, **args)[source]
    
+sympy.polys.polytools.sqf_part(f, *gens, **args)[source]
 
    Compute square-free part of f.
    
 
    Examples
    
 
    >>> from sympy import sqf_part
@@ -1507,7 +1507,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.sqf_list(f, *gens, **args)[source]
    
+sympy.polys.polytools.sqf_list(f, *gens, **args)[source]
 
    Compute a list of square-free factors of f.
    
 
    Examples
    
 
    >>> from sympy import sqf_list
@@ -1522,7 +1522,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.sqf(f, *gens, **args)[source]
    
+sympy.polys.polytools.sqf(f, *gens, **args)[source]
 
    Compute square-free factorization of f.
    
 
    Examples
    
 
    >>> from sympy import sqf
@@ -1537,7 +1537,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.factor_list(f, *gens, **args)[source]
    
+sympy.polys.polytools.factor_list(f, *gens, **args)[source]
 
    Compute a list of irreducible factors of f.
    
 
    Examples
    
 
    >>> from sympy import factor_list
@@ -1552,7 +1552,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.factor(f, *gens, deep=False, **args)[source]
    
+sympy.polys.polytools.factor(f, *gens, deep=False, **args)[source]
 
    Compute the factorization of expression, f, into irreducibles. (To
 factor an integer into primes, use factorint.)
    
 
    There two modes implemented: symbolic and formal. If f is not an
@@ -1633,7 +1633,7 @@ 
    Basic polynomial manipulation functionssqf=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute isolating intervals for roots of f.
    
 
    Examples
    
 
    >>> from sympy import intervals
@@ -1662,7 +1662,7 @@ 
    Basic polynomial manipulation functionscheck_sqf=False,
    
 
    
 
-)[source]
+)[source]
 
    Refine an isolating interval of a root to the given precision.
    
 
    Examples
    
 
    >>> from sympy import refine_root
@@ -1677,7 +1677,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.count_roots(f, inf=None, sup=None)[source]
    
+sympy.polys.polytools.count_roots(f, inf=None, sup=None)[source]
 
    Return the number of roots of f in [inf, sup] interval.
    
 
    If one of inf or sup is complex, it will return the number of roots
 in the complex rectangle with corners at inf and sup.
    
@@ -1705,7 +1705,7 @@ 
    Basic polynomial manipulation functionsextension=False,
    
 
    
 
-)[source]
+)[source]
 
    Returns the real and complex roots of f with multiplicities.
    
 
    
 
    Parameters:
    
@@ -1863,7 +1863,7 @@ 
    Basic polynomial manipulation functionsextension=False,
    
 
    
 
-)[source]
+)[source]
 
    Returns the real roots of f with multiplicities.
    
 
    
 
    Parameters:
    
@@ -2034,7 +2034,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.nroots(f, n=15, maxsteps=50, cleanup=True)[source]
    
+sympy.polys.polytools.nroots(f, n=15, maxsteps=50, cleanup=True)[source]
 
    Compute numerical approximations of roots of f.
    
 
    Examples
    
 
    >>> from sympy import nroots
@@ -2051,7 +2051,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.ground_roots(f, *gens, **args)[source]
    
+sympy.polys.polytools.ground_roots(f, *gens, **args)[source]
 
    Compute roots of f by factorization in the ground domain.
    
 
    Examples
    
 
    >>> from sympy import ground_roots
@@ -2066,7 +2066,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.nth_power_roots_poly(f, n, *gens, **args)[source]
    
+sympy.polys.polytools.nth_power_roots_poly(f, n, *gens, **args)[source]
 
    Construct a polynomial with n-th powers of roots of f.
    
 
    Examples
    
 
    >>> from sympy import nth_power_roots_poly, factor, roots
@@ -2093,7 +2093,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.cancel(f, *gens, _signsimp=True, **args)[source]
    
+sympy.polys.polytools.cancel(f, *gens, _signsimp=True, **args)[source]
 
    Cancel common factors in a rational function f.
    
 
    Examples
    
 
    >>> from sympy import cancel, sqrt, Symbol, together
@@ -2119,7 +2119,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.reduced(f, G, *gens, **args)[source]
    
+sympy.polys.polytools.reduced(f, G, *gens, **args)[source]
 
    Reduces a polynomial f modulo a set of polynomials G.
    
 
    Given a polynomial f and a set of polynomials G = (g_1, ..., g_n),
 computes a set of quotients q = (q_1, ..., q_n) and the remainder r
@@ -2138,7 +2138,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.groebner(F, *gens, **args)[source]
    
+sympy.polys.polytools.groebner(F, *gens, **args)[source]
 
    Computes the reduced Groebner basis for a set of polynomials.
    
 
    Use the order argument to set the monomial ordering that will be
 used to compute the basis. Allowed orders are lex, grlex and
@@ -2187,7 +2187,7 @@ 
    Basic polynomial manipulation functions
 
    
-sympy.polys.polytools.is_zero_dimensional(F, *gens, **args)[source]
    
+sympy.polys.polytools.is_zero_dimensional(F, *gens, **args)[source]
 
    Checks if the ideal generated by a Groebner basis is zero-dimensional.
    
 
    The algorithm checks if the set of monomials not divisible by the
 leading monomial of any element of F is bounded.
    
@@ -2198,7 +2198,7 @@ 
    Basic polynomial manipulation functions
 
    
-class sympy.polys.polytools.Poly(rep, *gens, **args)[source]
    
+class sympy.polys.polytools.Poly(rep, *gens, **args)[source]
 
    Generic class for representing and operating on polynomial expressions.
    
 
    See Polynomial Manipulation for general documentation.
    
 
    Poly is a subclass of Basic rather than Expr but instances can be
@@ -2245,7 +2245,7 @@ 
    Basic polynomial manipulation functions
 
    
-EC(order=None)[source]
    
+EC(order=None)[source]
 
    Returns the last non-zero coefficient of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2260,7 +2260,7 @@ 
    Basic polynomial manipulation functions
 
    
-EM(order=None)[source]
    
+EM(order=None)[source]
 
    Returns the last non-zero monomial of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2275,7 +2275,7 @@ 
    Basic polynomial manipulation functions
 
    
-ET(order=None)[source]
    
+ET(order=None)[source]
 
    Returns the last non-zero term of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2290,7 +2290,7 @@ 
    Basic polynomial manipulation functions
 
    
-LC(order=None)[source]
    
+LC(order=None)[source]
 
    Returns the leading coefficient of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2305,7 +2305,7 @@ 
    Basic polynomial manipulation functions
 
    
-LM(order=None)[source]
    
+LM(order=None)[source]
 
    Returns the leading monomial of f.
    
 
    The Leading monomial signifies the monomial having
 the highest power of the principal generator in the
@@ -2323,7 +2323,7 @@ 
    Basic polynomial manipulation functions
 
    
-LT(order=None)[source]
    
+LT(order=None)[source]
 
    Returns the leading term of f.
    
 
    The Leading term signifies the term having
 the highest power of the principal generator in the
@@ -2341,7 +2341,7 @@ 
    Basic polynomial manipulation functions
 
    
-TC()[source]
    
+TC()[source]
 
    Returns the trailing coefficient of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2356,7 +2356,7 @@ 
    Basic polynomial manipulation functions
 
    
-abs()[source]
    
+abs()[source]
 
    Make all coefficients in f positive.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2371,7 +2371,7 @@ 
    Basic polynomial manipulation functions
 
    
-add(g)[source]
    
+add(g)[source]
 
    Add two polynomials f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2390,7 +2390,7 @@ 
    Basic polynomial manipulation functions
 
    
-add_ground(coeff)[source]
    
+add_ground(coeff)[source]
 
    Add an element of the ground domain to f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2405,7 +2405,7 @@ 
    Basic polynomial manipulation functions
 
    
-all_coeffs()[source]
    
+all_coeffs()[source]
 
    Returns all coefficients from a univariate polynomial f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2420,7 +2420,7 @@ 
    Basic polynomial manipulation functions
 
    
-all_monoms()[source]
    
+all_monoms()[source]
 
    Returns all monomials from a univariate polynomial f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2439,7 +2439,7 @@ 
    Basic polynomial manipulation functions
 
    
-all_roots(multiple=True, radicals=True)[source]
    
+all_roots(multiple=True, radicals=True)[source]
 
    Return a list of real and complex roots with multiplicities.
    
 
    See all_roots() for more explanation.
    
 
    Examples
    
@@ -2459,7 +2459,7 @@ 
    Basic polynomial manipulation functions
 
    
-all_terms()[source]
    
+all_terms()[source]
 
    Returns all terms from a univariate polynomial f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2474,7 +2474,7 @@ 
    Basic polynomial manipulation functions
 
    
-as_dict(native=False, zero=False)[source]
    
+as_dict(native=False, zero=False)[source]
 
    Switch to a dict representation.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2489,7 +2489,7 @@ 
    Basic polynomial manipulation functions
 
    
-as_expr(*gens)[source]
    
+as_expr(*gens)[source]
 
    Convert a Poly instance to an Expr instance.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2511,13 +2511,13 @@ 
    Basic polynomial manipulation functions
 
    
-as_list(native=False)[source]
    
+as_list(native=False)[source]
 
    Switch to a list representation.
    
 
    
 
 
    
 
    
-as_poly(*gens, **args)[source]
    
+as_poly(*gens, **args)[source]
 
    Converts self to a polynomial or returns None.
    
 
    >>> from sympy import sin
 >>> from sympy.abc import x, y
@@ -2539,7 +2539,7 @@ 
    Basic polynomial manipulation functions
 
    
-cancel(g, include=False)[source]
    
+cancel(g, include=False)[source]
 
    Cancel common factors in a rational function f/g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2558,7 +2558,7 @@ 
    Basic polynomial manipulation functions
 
    
-clear_denoms(convert=False)[source]
    
+clear_denoms(convert=False)[source]
 
    Clear denominators, but keep the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly, S, QQ
@@ -2578,7 +2578,7 @@ 
    Basic polynomial manipulation functions
 
    
-coeff_monomial(monom)[source]
    
+coeff_monomial(monom)[source]
 
    Returns the coefficient of monom in f if there, else None.
    
 
    Examples
    
 
    >>> from sympy import Poly, exp
@@ -2618,7 +2618,7 @@ 
    Basic polynomial manipulation functions
 
    
-coeffs(order=None)[source]
    
+coeffs(order=None)[source]
 
    Returns all non-zero coefficients from f in lex order.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2637,7 +2637,7 @@ 
    Basic polynomial manipulation functions
 
    
-cofactors(g)[source]
    
+cofactors(g)[source]
 
    Returns the GCD of f and g and their cofactors.
    
 
    Returns polynomials (h, cff, cfg) such that h = gcd(f, g), and
 cff = quo(f, h) and cfg = quo(g, h) are, so called, cofactors
@@ -2657,7 +2657,7 @@ 
    Basic polynomial manipulation functions
 
    
-compose(g)[source]
    
+compose(g)[source]
 
    Computes the functional composition of f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2672,7 +2672,7 @@ 
    Basic polynomial manipulation functions
 
    
-content()[source]
    
+content()[source]
 
    Returns the GCD of polynomial coefficients.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2687,7 +2687,7 @@ 
    Basic polynomial manipulation functions
 
    
-count_roots(inf=None, sup=None)[source]
    
+count_roots(inf=None, sup=None)[source]
 
    Return the number of roots of f in [inf, sup] interval.
    
 
    Examples
    
 
    >>> from sympy import Poly, I
@@ -2704,7 +2704,7 @@ 
    Basic polynomial manipulation functions
 
    
-decompose()[source]
    
+decompose()[source]
 
    Computes a functional decomposition of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2719,7 +2719,7 @@ 
    Basic polynomial manipulation functions
 
    
-deflate()[source]
    
+deflate()[source]
 
    Reduce degree of f by mapping x_i**m to y_i.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2734,7 +2734,7 @@ 
    Basic polynomial manipulation functions
 
    
-degree(gen=0)[source]
    
+degree(gen=0)[source]
 
    Returns degree of f in x_j.
    
 
    The degree of 0 is negative infinity.
    
 
    Examples
    
@@ -2754,7 +2754,7 @@ 
    Basic polynomial manipulation functions
 
    
-degree_list()[source]
    
+degree_list()[source]
 
    Returns a list of degrees of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2769,7 +2769,7 @@ 
    Basic polynomial manipulation functions
 
    
-diff(*specs, **kwargs)[source]
    
+diff(*specs, **kwargs)[source]
 
    Computes partial derivative of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2788,7 +2788,7 @@ 
    Basic polynomial manipulation functions
 
    
-discriminant()[source]
    
+discriminant()[source]
 
    Computes the discriminant of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2803,7 +2803,7 @@ 
    Basic polynomial manipulation functions
 
    
-dispersion(g=None)[source]
    
+dispersion(g=None)[source]
 
    Compute the dispersion of polynomials.
    
 
    For two polynomials \(f(x)\) and \(g(x)\) with \(\deg f > 0\)
 and \(\deg g > 0\) the dispersion \(\operatorname{dis}(f, g)\) is defined as:
    
@@ -2874,7 +2874,7 @@ 
    Basic polynomial manipulation functions
 
    
-dispersionset(g=None)[source]
    
+dispersionset(g=None)[source]
 
    Compute the dispersion set of two polynomials.
    
 
    For two polynomials \(f(x)\) and \(g(x)\) with \(\deg f > 0\)
 and \(\deg g > 0\) the dispersion set \(\operatorname{J}(f, g)\) is defined as:
    
@@ -2945,7 +2945,7 @@ 
    Basic polynomial manipulation functions
 
    
-div(g, auto=True)[source]
    
+div(g, auto=True)[source]
 
    Polynomial division with remainder of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -2988,7 +2988,7 @@ 
    Basic polynomial manipulation functions
 
    
-eject(*gens)[source]
    
+eject(*gens)[source]
 
    Eject selected generators into the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3008,7 +3008,7 @@ 
    Basic polynomial manipulation functions
 
    
-eval(x, a=None, auto=True)[source]
    
+eval(x, a=None, auto=True)[source]
 
    Evaluate f at a in the given variable.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3044,7 +3044,7 @@ 
    Basic polynomial manipulation functions
 
    
-exclude()[source]
    
+exclude()[source]
 
    Remove unnecessary generators from f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3059,7 +3059,7 @@ 
    Basic polynomial manipulation functions
 
    
-exquo(g, auto=True)[source]
    
+exquo(g, auto=True)[source]
 
    Computes polynomial exact quotient of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3080,7 +3080,7 @@ 
    Basic polynomial manipulation functions
 
    
-exquo_ground(coeff)[source]
    
+exquo_ground(coeff)[source]
 
    Exact quotient of f by a an element of the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3101,7 +3101,7 @@ 
    Basic polynomial manipulation functions
 
    
-factor_list()[source]
    
+factor_list()[source]
 
    Returns a list of irreducible factors of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3120,7 +3120,7 @@ 
    Basic polynomial manipulation functions
 
    
-factor_list_include()[source]
    
+factor_list_include()[source]
 
    Returns a list of irreducible factors of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3179,25 +3179,25 @@ 
    Basic polynomial manipulation functions
 
    
-classmethod from_dict(rep, *gens, **args)[source]
    
+classmethod from_dict(rep, *gens, **args)[source]
 
    Construct a polynomial from a dict.
    
 
    
 
 
    
 
    
-classmethod from_expr(rep, *gens, **args)[source]
    
+classmethod from_expr(rep, *gens, **args)[source]
 
    Construct a polynomial from an expression.
    
 
    
 
 
    
 
    
-classmethod from_list(rep, *gens, **args)[source]
    
+classmethod from_list(rep, *gens, **args)[source]
 
    Construct a polynomial from a list.
    
 
    
 
 
    
 
    
-classmethod from_poly(rep, *gens, **args)[source]
    
+classmethod from_poly(rep, *gens, **args)[source]
 
    Construct a polynomial from a polynomial.
    
 
    
 
@@ -3211,7 +3211,7 @@ 
    Basic polynomial manipulation functionsrandomize=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute the Galois group of this polynomial.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3230,7 +3230,7 @@ 
    Basic polynomial manipulation functions
 
    
-gcd(g)[source]
    
+gcd(g)[source]
 
    Returns the polynomial GCD of f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3245,7 +3245,7 @@ 
    Basic polynomial manipulation functions
 
    
-gcdex(g, auto=True)[source]
    
+gcdex(g, auto=True)[source]
 
    Extended Euclidean algorithm of f and g.
    
 
    Returns (s, t, h) such that h = gcd(f, g) and s*f + t*g = h.
    
 
    Examples
    
@@ -3282,13 +3282,13 @@ 
    Basic polynomial manipulation functions
 
    
-get_domain()[source]
    
+get_domain()[source]
 
    Get the ground domain of f.
    
 
    
 
 
    
 
    
-get_modulus()[source]
    
+get_modulus()[source]
 
    Get the modulus of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3303,7 +3303,7 @@ 
    Basic polynomial manipulation functions
 
    
-gff_list()[source]
    
+gff_list()[source]
 
    Computes greatest factorial factorization of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3321,7 +3321,7 @@ 
    Basic polynomial manipulation functions
 
    
-ground_roots()[source]
    
+ground_roots()[source]
 
    Compute roots of f by factorization in the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3336,7 +3336,7 @@ 
    Basic polynomial manipulation functions
 
    
-half_gcdex(g, auto=True)[source]
    
+half_gcdex(g, auto=True)[source]
 
    Half extended Euclidean algorithm of f and g.
    
 
    Returns (s, h) such that h = gcd(f, g) and s*f = h (mod g).
    
 
    Examples
    
@@ -3356,7 +3356,7 @@ 
    Basic polynomial manipulation functions
 
    
-has_only_gens(*gens)[source]
    
+has_only_gens(*gens)[source]
 
    Return True if Poly(f, *gens) retains ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3373,7 +3373,7 @@ 
    Basic polynomial manipulation functions
 
    
-homogeneous_order()[source]
    
+homogeneous_order()[source]
 
    Returns the homogeneous order of f.
    
 
    A homogeneous polynomial is a polynomial whose all monomials with
 non-zero coefficients have the same total degree. This degree is
@@ -3393,7 +3393,7 @@ 
    Basic polynomial manipulation functions
 
    
-homogenize(s)[source]
    
+homogenize(s)[source]
 
    Returns the homogeneous polynomial of f.
    
 
    A homogeneous polynomial is a polynomial whose all monomials with
 non-zero coefficients have the same total degree. If you only
@@ -3415,7 +3415,7 @@ 
    Basic polynomial manipulation functions
 
    
-inject(front=False)[source]
    
+inject(front=False)[source]
 
    Inject ground domain generators into f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3435,7 +3435,7 @@ 
    Basic polynomial manipulation functions
 
    
-integrate(*specs, **args)[source]
    
+integrate(*specs, **args)[source]
 
    Computes indefinite integral of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3465,7 +3465,7 @@ 
    Basic polynomial manipulation functionssqf=False,
    
 
    
 
-)[source]
+)[source]
 
    Compute isolating intervals for roots of f.
    
 
    For real roots the Vincent-Akritas-Strzebonski (VAS) continued fractions method is used.
    
 
    Examples
    
@@ -3497,7 +3497,7 @@ 
    Basic polynomial manipulation functions
 
    
-invert(g, auto=True)[source]
    
+invert(g, auto=True)[source]
 
    Invert f modulo g when possible.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3778,7 +3778,7 @@ 
    Basic polynomial manipulation functions
 
    
-l1_norm()[source]
    
+l1_norm()[source]
 
    Returns l1 norm of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3793,7 +3793,7 @@ 
    Basic polynomial manipulation functions
 
    
-lcm(g)[source]
    
+lcm(g)[source]
 
    Returns polynomial LCM of f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3808,7 +3808,7 @@ 
    Basic polynomial manipulation functions
 
    
-length()[source]
    
+length()[source]
 
    Returns the number of non-zero terms in f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3823,7 +3823,7 @@ 
    Basic polynomial manipulation functions
 
    
-lift()[source]
    
+lift()[source]
 
    Convert algebraic coefficients to rationals.
    
 
    Examples
    
 
    >>> from sympy import Poly, I
@@ -3838,7 +3838,7 @@ 
    Basic polynomial manipulation functions
 
    
-ltrim(gen)[source]
    
+ltrim(gen)[source]
 
    Remove dummy generators from f that are to the left of
 specified gen in the generators as ordered. When gen
 is an integer, it refers to the generator located at that
@@ -3858,7 +3858,7 @@ 
    Basic polynomial manipulation functions
 
    
-make_monic_over_integers_by_scaling_roots()[source]
    
+make_monic_over_integers_by_scaling_roots()[source]
 
    Turn any univariate polynomial over QQ or ZZ into a monic
 polynomial over ZZ, by scaling the roots as necessary.
    
 
    
@@ -3886,13 +3886,13 @@ 
    Basic polynomial manipulation functions
 
    
-match(*args, **kwargs)[source]
    
+match(*args, **kwargs)[source]
 
    Match expression from Poly. See Basic.match()
    
 
    
 
 
    
 
    
-max_norm()[source]
    
+max_norm()[source]
 
    Returns maximum norm of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3907,7 +3907,7 @@ 
    Basic polynomial manipulation functions
 
    
-monic(auto=True)[source]
    
+monic(auto=True)[source]
 
    Divides all coefficients by LC(f).
    
 
    Examples
    
 
    >>> from sympy import Poly, ZZ
@@ -3926,7 +3926,7 @@ 
    Basic polynomial manipulation functions
 
    
-monoms(order=None)[source]
    
+monoms(order=None)[source]
 
    Returns all non-zero monomials from f in lex order.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3945,7 +3945,7 @@ 
    Basic polynomial manipulation functions
 
    
-mul(g)[source]
    
+mul(g)[source]
 
    Multiply two polynomials f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3964,7 +3964,7 @@ 
    Basic polynomial manipulation functions
 
    
-mul_ground(coeff)[source]
    
+mul_ground(coeff)[source]
 
    Multiply f by a an element of the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3979,7 +3979,7 @@ 
    Basic polynomial manipulation functions
 
    
-neg()[source]
    
+neg()[source]
 
    Negate all coefficients in f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -3998,13 +3998,13 @@ 
    Basic polynomial manipulation functions
 
    
-classmethod new(rep, *gens)[source]
    
+classmethod new(rep, *gens)[source]
 
    Construct Poly instance from raw representation.
    
 
    
 
 
    
 
    
-norm()[source]
    
+norm()[source]
 
    Computes the product, Norm(f), of the conjugates of
 a polynomial f defined over a number field K.
    
 
    Examples
    
@@ -4033,7 +4033,7 @@ 
    Basic polynomial manipulation functions
 
    
-nroots(n=15, maxsteps=50, cleanup=True)[source]
    
+nroots(n=15, maxsteps=50, cleanup=True)[source]
 
    Compute numerical approximations of roots of f.
    
 
    
 
    Parameters:
    
@@ -4058,7 +4058,7 @@ 
    Basic polynomial manipulation functions
 
    
-nth(*N)[source]
    
+nth(*N)[source]
 
    Returns the n-th coefficient of f where N are the
 exponents of the generators in the term of interest.
    
 
    Examples
    
@@ -4084,7 +4084,7 @@ 
    Basic polynomial manipulation functions
 
    
-nth_power_roots_poly(n)[source]
    
+nth_power_roots_poly(n)[source]
 
    Construct a polynomial with n-th powers of roots of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4114,7 +4114,7 @@ 
    Basic polynomial manipulation functions
 
    
-pdiv(g)[source]
    
+pdiv(g)[source]
 
    Polynomial pseudo-division of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4129,7 +4129,7 @@ 
    Basic polynomial manipulation functions
 
    
-per(rep, gens=None, remove=None)[source]
    
+per(rep, gens=None, remove=None)[source]
 
    Create a Poly out of the given representation.
    
 
    Examples
    
 
    >>> from sympy import Poly, ZZ
@@ -4150,7 +4150,7 @@ 
    Basic polynomial manipulation functions
 
    
-pexquo(g)[source]
    
+pexquo(g)[source]
 
    Polynomial exact pseudo-quotient of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4171,7 +4171,7 @@ 
    Basic polynomial manipulation functions
 
    
-pow(n)[source]
    
+pow(n)[source]
 
    Raise f to a non-negative power n.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4190,7 +4190,7 @@ 
    Basic polynomial manipulation functions
 
    
-pquo(g)[source]
    
+pquo(g)[source]
 
    Polynomial pseudo-quotient of f by g.
    
 
    See the Caveat note in the function prem(f, g).
    
 
    Examples
    
@@ -4210,7 +4210,7 @@ 
    Basic polynomial manipulation functions
 
    
-prem(g)[source]
    
+prem(g)[source]
 
    Polynomial pseudo-remainder of f by g.
    
 
    
 
    Caveat: The function prem(f, g, x) can be safely used to compute
    in Z[x] _only_ subresultant polynomial remainder sequences (prs’s).
    
@@ -4239,7 +4239,7 @@ 
    Basic polynomial manipulation functions
 
    
-primitive()[source]
    
+primitive()[source]
 
    Returns the content and a primitive form of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4254,7 +4254,7 @@ 
    Basic polynomial manipulation functions
 
    
-quo(g, auto=True)[source]
    
+quo(g, auto=True)[source]
 
    Computes polynomial quotient of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4273,7 +4273,7 @@ 
    Basic polynomial manipulation functions
 
    
-quo_ground(coeff)[source]
    
+quo_ground(coeff)[source]
 
    Quotient of f by a an element of the ground domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4292,7 +4292,7 @@ 
    Basic polynomial manipulation functions
 
    
-rat_clear_denoms(g)[source]
    
+rat_clear_denoms(g)[source]
 
    Clear denominators in a rational function f/g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4316,7 +4316,7 @@ 
    Basic polynomial manipulation functions
 
    
-real_roots(multiple=True, radicals=True)[source]
    
+real_roots(multiple=True, radicals=True)[source]
 
    Return a list of real roots with multiplicities.
    
 
    See real_roots() for more explanation.
    
 
    Examples
    
@@ -4345,7 +4345,7 @@ 
    Basic polynomial manipulation functionscheck_sqf=False,
    
 
    
 
-)[source]
+)[source]
 
    Refine an isolating interval of a root to the given precision.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4360,7 +4360,7 @@ 
    Basic polynomial manipulation functions
 
    
-rem(g, auto=True)[source]
    
+rem(g, auto=True)[source]
 
    Computes the polynomial remainder of f by g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4379,7 +4379,7 @@ 
    Basic polynomial manipulation functions
 
    
-reorder(*gens, **args)[source]
    
+reorder(*gens, **args)[source]
 
    Efficiently apply new order of generators.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4394,7 +4394,7 @@ 
    Basic polynomial manipulation functions
 
    
-replace(x, y=None, **_ignore)[source]
    
+replace(x, y=None, **_ignore)[source]
 
    Replace x with y in generators list.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4409,7 +4409,7 @@ 
    Basic polynomial manipulation functions
 
    
-resultant(g, includePRS=False)[source]
    
+resultant(g, includePRS=False)[source]
 
    Computes the resultant of f and g via PRS.
    
 
    If includePRS=True, it includes the subresultant PRS in the result.
 Because the PRS is used to calculate the resultant, this is more
@@ -4433,7 +4433,7 @@ 
    Basic polynomial manipulation functions
 
    
-retract(field=None)[source]
    
+retract(field=None)[source]
 
    Recalculate the ground domain of a polynomial.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4455,7 +4455,7 @@ 
    Basic polynomial manipulation functions
 
    
-revert(n)[source]
    
+revert(n)[source]
 
    Compute f**(-1) mod x**n.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4486,7 +4486,7 @@ 
    Basic polynomial manipulation functions
 
    
-root(index, radicals=True)[source]
    
+root(index, radicals=True)[source]
 
    Get an indexed root of a polynomial.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4516,7 +4516,7 @@ 
    Basic polynomial manipulation functions
 
    
-same_root(a, b)[source]
    
+same_root(a, b)[source]
 
    Decide whether two roots of this polynomial are equal.
    
 
    
 
    Raises:
    
@@ -4552,13 +4552,13 @@ 
    Basic polynomial manipulation functions
 
    
-set_domain(domain)[source]
    
+set_domain(domain)[source]
 
    Set the ground domain of f.
    
 
    
 
 
    
 
    
-set_modulus(modulus)[source]
    
+set_modulus(modulus)[source]
 
    Set the modulus of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4573,7 +4573,7 @@ 
    Basic polynomial manipulation functions
 
    
-shift(a)[source]
    
+shift(a)[source]
 
    Efficiently compute Taylor shift f(x + a).
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4595,7 +4595,7 @@ 
    Basic polynomial manipulation functions
 
    
-shift_list(a)[source]
    
+shift_list(a)[source]
 
    Efficiently compute Taylor shift f(X + A).
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4617,13 +4617,13 @@ 
    Basic polynomial manipulation functions
 
    
-slice(x, m, n=None)[source]
    
+slice(x, m, n=None)[source]
 
    Take a continuous subsequence of terms of f.
    
 
    
 
 
    
 
    
-sqf_list(all=False)[source]
    
+sqf_list(all=False)[source]
 
    Returns a list of square-free factors of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4648,7 +4648,7 @@ 
    Basic polynomial manipulation functions
 
    
-sqf_list_include(all=False)[source]
    
+sqf_list_include(all=False)[source]
 
    Returns a list of square-free factors of f.
    
 
    Examples
    
 
    >>> from sympy import Poly, expand
@@ -4677,7 +4677,7 @@ 
    Basic polynomial manipulation functions
 
    
-sqf_norm()[source]
    
+sqf_norm()[source]
 
    Computes square-free norm of f.
    
 
    Returns s, f, r, such that g(x) = f(x-sa) and
 r(x) = Norm(g(x)) is a square-free polynomial over K,
@@ -4702,7 +4702,7 @@ 
    Basic polynomial manipulation functions
 
    
-sqf_part()[source]
    
+sqf_part()[source]
 
    Computes square-free part of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4717,7 +4717,7 @@ 
    Basic polynomial manipulation functions
 
    
-sqr()[source]
    
+sqr()[source]
 
    Square a polynomial f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4736,7 +4736,7 @@ 
    Basic polynomial manipulation functions
 
    
-sturm(auto=True)[source]
    
+sturm(auto=True)[source]
 
    Computes the Sturm sequence of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4754,7 +4754,7 @@ 
    Basic polynomial manipulation functions
 
    
-sub(g)[source]
    
+sub(g)[source]
 
    Subtract two polynomials f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4773,7 +4773,7 @@ 
    Basic polynomial manipulation functions
 
    
-sub_ground(coeff)[source]
    
+sub_ground(coeff)[source]
 
    Subtract an element of the ground domain from f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4788,7 +4788,7 @@ 
    Basic polynomial manipulation functions
 
    
-subresultants(g)[source]
    
+subresultants(g)[source]
 
    Computes the subresultant PRS of f and g.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4805,7 +4805,7 @@ 
    Basic polynomial manipulation functions
 
    
-terms(order=None)[source]
    
+terms(order=None)[source]
 
    Returns all non-zero terms from f in lex order.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4824,7 +4824,7 @@ 
    Basic polynomial manipulation functions
 
    
-terms_gcd()[source]
    
+terms_gcd()[source]
 
    Remove GCD of terms from the polynomial f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4839,7 +4839,7 @@ 
    Basic polynomial manipulation functions
 
    
-termwise(func, *gens, **args)[source]
    
+termwise(func, *gens, **args)[source]
 
    Apply a function to all terms of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4859,7 +4859,7 @@ 
    Basic polynomial manipulation functions
 
    
-to_exact()[source]
    
+to_exact()[source]
 
    Make the ground domain exact.
    
 
    Examples
    
 
    >>> from sympy import Poly, RR
@@ -4874,7 +4874,7 @@ 
    Basic polynomial manipulation functions
 
    
-to_field()[source]
    
+to_field()[source]
 
    Make the ground domain a field.
    
 
    Examples
    
 
    >>> from sympy import Poly, ZZ
@@ -4889,7 +4889,7 @@ 
    Basic polynomial manipulation functions
 
    
-to_ring()[source]
    
+to_ring()[source]
 
    Make the ground domain a ring.
    
 
    Examples
    
 
    >>> from sympy import Poly, QQ
@@ -4904,7 +4904,7 @@ 
    Basic polynomial manipulation functions
 
    
-total_degree()[source]
    
+total_degree()[source]
 
    Returns the total degree of f.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4921,7 +4921,7 @@ 
    Basic polynomial manipulation functions
 
    
-transform(p, q)[source]
    
+transform(p, q)[source]
 
    Efficiently evaluate the functional transformation q**n * f(p/q).
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4936,7 +4936,7 @@ 
    Basic polynomial manipulation functions
 
    
-trunc(p)[source]
    
+trunc(p)[source]
 
    Reduce f modulo a constant p.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4951,7 +4951,7 @@ 
    Basic polynomial manipulation functions
 
    
-unify(g)[source]
    
+unify(g)[source]
 
    Make f and g belong to the same domain.
    
 
    Examples
    
 
    >>> from sympy import Poly
@@ -4986,7 +4986,7 @@ 
    Basic polynomial manipulation functions
 
    
-which_all_roots(candidates)[source]
    
+which_all_roots(candidates)[source]
 
    Find roots of a square-free polynomial f from candidates.
    
 
    Explanation
    
 
    If f is a square-free polynomial and candidates is a superset
@@ -5039,7 +5039,7 @@ 
    Basic polynomial manipulation functions
 
    
-which_real_roots(candidates)[source]
    
+which_real_roots(candidates)[source]
 
    Find roots of a square-free polynomial f from candidates.
    
 
    Explanation
    
 
    If f is a square-free polynomial and candidates is a superset
@@ -5096,7 +5096,7 @@ 
    Basic polynomial manipulation functions
 
    
-class sympy.polys.polytools.PurePoly(rep, *gens, **args)[source]
    
+class sympy.polys.polytools.PurePoly(rep, *gens, **args)[source]
 
    Class for representing pure polynomials.
    
 
    
 
    
@@ -5121,11 +5121,11 @@ 
    Basic polynomial manipulation functions
 
    
-class sympy.polys.polytools.GroebnerBasis(F, *gens, **args)[source]
    
+class sympy.polys.polytools.GroebnerBasis(F, *gens, **args)[source]
    
 
    Represents a reduced Groebner basis.
    
 
    
 
    
-contains(poly)[source]
    
+contains(poly)[source]
 
    Check if poly belongs the ideal generated by self.
    
 
    Examples
    
 
    >>> from sympy import groebner
@@ -5146,7 +5146,7 @@ 
    Basic polynomial manipulation functions
 
    
-fglm(order)[source]
    
+fglm(order)[source]
 
    Convert a Groebner basis from one ordering to another.
    
 
    The FGLM algorithm converts reduced Groebner bases of zero-dimensional
 ideals from one ordering to another. This method is often used when it
@@ -5191,7 +5191,7 @@ 
    Basic polynomial manipulation functions
 
    
-reduce(expr, auto=True)[source]
    
+reduce(expr, auto=True)[source]
 
    Reduces a polynomial modulo a Groebner basis.
    
 
    Given a polynomial f and a set of polynomials G = (g_1, ..., g_n),
 computes a set of quotients q = (q_1, ..., q_n) and the remainder r
@@ -5226,7 +5226,7 @@ 
    Basic polynomial manipulation functions
    
 
    
 
    
-sympy.polys.polyfuncs.symmetrize(F, *gens, **args)[source]
    
+sympy.polys.polyfuncs.symmetrize(F, *gens, **args)[source]
 
    Rewrite a polynomial in terms of elementary symmetric polynomials.
    
 
    A symmetric polynomial is a multivariate polynomial that remains invariant
 under any variable permutation, i.e., if \(f = f(x_1, x_2, \dots, x_n)\),
@@ -5260,7 +5260,7 @@ 
    Extra polynomial manipulation functions
 
    
-sympy.polys.polyfuncs.horner(f, *gens, **args)[source]
    
+sympy.polys.polyfuncs.horner(f, *gens, **args)[source]
 
    Rewrite a polynomial in Horner form.
    
 
    Among other applications, evaluation of a polynomial at a point is optimal
 when it is applied using the Horner scheme ([1]).
    
@@ -5294,7 +5294,7 @@ 
    Extra polynomial manipulation functions
 
    
-sympy.polys.polyfuncs.interpolate(data, x)[source]
    
+sympy.polys.polyfuncs.interpolate(data, x)[source]
 
    Construct an interpolating polynomial for the data points
 evaluated at point x (which can be symbolic or numeric).
    
 
    Examples
    
@@ -5336,7 +5336,7 @@ 
    Extra polynomial manipulation functions
 
    
-sympy.polys.polyfuncs.viete(f, roots=None, *gens, **args)[source]
    
+sympy.polys.polyfuncs.viete(f, roots=None, *gens, **args)[source]
 
    Generate Viete’s formulas for f.
    
 
    Examples
    
 
    >>> from sympy.polys.polyfuncs import viete
@@ -5357,7 +5357,7 @@ 
    Extra polynomial manipulation functions
    
 
    
 
    
-sympy.polys.constructor.construct_domain(obj, **args)[source]
    
+sympy.polys.constructor.construct_domain(obj, **args)[source]
 
    Construct a minimal domain for a list of expressions.
    
 
    
 
    Parameters:
    
@@ -5441,23 +5441,23 @@ 
    Domain constructors
    
 
    
 
    
-class sympy.polys.monomials.Monomial(monom, gens=None)[source]
    
+class sympy.polys.monomials.Monomial(monom, gens=None)[source]
 
    Class representing a monomial, i.e. a product of powers.
    
 
    
 
    
-as_expr(*gens)[source]
    
+as_expr(*gens)[source]
 
    Convert a monomial instance to a SymPy expression.
    
 
    
 
 
    
 
    
-gcd(other)[source]
    
+gcd(other)[source]
 
    Greatest common divisor of monomials.
    
 
    
 
 
    
 
    
-lcm(other)[source]
    
+lcm(other)[source]
 
    Least common multiple of monomials.
    
 
    
 
@@ -5473,7 +5473,7 @@ 
    Monomials encoded as tuplesmin_degrees=None,
    
 
    
 
-)[source]
+)[source]
 
    max_degrees and min_degrees are either both integers or both lists.
 Unless otherwise specified, min_degrees is either 0 or
 [0, ..., 0].
    
@@ -5544,7 +5544,7 @@ 
    Monomials encoded as tuples
 
    
-sympy.polys.monomials.monomial_count(V, N)[source]
    
+sympy.polys.monomials.monomial_count(V, N)[source]
 
    Computes the number of monomials.
    
 
    The number of monomials is given by the following formula:
    
 
    
@@ -5578,25 +5578,25 @@ 
    Monomials encoded as tuples
    
 
    
 
    
-class sympy.polys.orderings.MonomialOrder[source]
    
+class sympy.polys.orderings.MonomialOrder[source]
 
    Base class for monomial orderings.
    
 
    
 
 
    
 
    
-class sympy.polys.orderings.LexOrder[source]
    
+class sympy.polys.orderings.LexOrder[source]
 
    Lexicographic order of monomials.
    
 
    
 
 
    
 
    
-class sympy.polys.orderings.GradedLexOrder[source]
    
+class sympy.polys.orderings.GradedLexOrder[source]
 
    Graded lexicographic order of monomials.
    
 
    
 
 
    
 
    
-class sympy.polys.orderings.ReversedGradedLexOrder[source]
    
+class sympy.polys.orderings.ReversedGradedLexOrder[source]
 
    Reversed graded lexicographic order of monomials.
    
 
    
 
@@ -5615,7 +5615,7 @@ 
    Formal manipulation of roots of polynomialsexpand=True,
    
 
    
 
-)[source]
+)[source]
 
    An indexed root of a univariate polynomial.
    
 
    Returns either a ComplexRootOf object or an explicit
 expression involving radicals.
    
@@ -5654,7 +5654,7 @@ 
    Formal manipulation of roots of polynomialsexpand=True,
    
 
    
 
-)[source]
+)[source]
 
    Represents a root of a univariate polynomial.
    
 
    Base class for roots of different kinds of polynomials.
 Only complex roots are currently supported.
    
@@ -5672,7 +5672,7 @@ 
    Formal manipulation of roots of polynomialsexpand=True,
    
 
    
 
-)[source]
+)[source]
 
    Represents an indexed complex root of a polynomial.
    
 
    Roots of a univariate polynomial separated into disjoint
 real or complex intervals and indexed in a fixed order:
    
@@ -5795,56 +5795,56 @@ 
    Formal manipulation of roots of polynomials
 
    
-classmethod _all_roots(poly, use_cache=True)[source]
    
+classmethod _all_roots(poly, use_cache=True)[source]
 
    Get real and complex roots of a composite polynomial.
    
 
    
 
 
    
 
    
-classmethod _complexes_index(complexes, index)[source]
    
+classmethod _complexes_index(complexes, index)[source]
 
    Map initial complex root index to an index in a factor where
 the root belongs.
    
 
    
 
 
    
 
    
-classmethod _complexes_sorted(complexes)[source]
    
+classmethod _complexes_sorted(complexes)[source]
 
    Make complex isolating intervals disjoint and sort roots.
    
 
    
 
 
    
 
    
-classmethod _count_roots(roots)[source]
    
+classmethod _count_roots(roots)[source]
 
    Count the number of real or complex roots with multiplicities.
    
 
    
 
 
    
 
    
-_ensure_complexes_init()[source]
    
+_ensure_complexes_init()[source]
 
    Ensure that our poly has entries in the complexes cache.
    
 
    
 
 
    
 
    
-_ensure_reals_init()[source]
    
+_ensure_reals_init()[source]
 
    Ensure that our poly has entries in the reals cache.
    
 
    
 
 
    
 
    
-_eval_evalf(prec, **kwargs)[source]
    
+_eval_evalf(prec, **kwargs)[source]
 
    Evaluate this complex root to the given precision.
    
 
    
 
 
    
 
    
-_eval_is_imaginary()[source]
    
+_eval_is_imaginary()[source]
 
    Return True if the root is imaginary.
    
 
    
 
 
    
 
    
-_eval_is_real()[source]
    
+_eval_is_real()[source]
 
    Return True if the root is real.
    
 
    
 
@@ -5857,7 +5857,7 @@ 
    Formal manipulation of roots of polynomialsuse_cache=True,
    
 
    
 
-)[source]
+)[source]
 
    Compute complex root isolating intervals for a list of factors.
    
 
    
 
@@ -5870,19 +5870,19 @@ 
    Formal manipulation of roots of polynomialsuse_cache=True,
    
 
    
 
-)[source]
+)[source]
 
    Get complex root isolating intervals for a square-free factor.
    
 
    
 
 
    
 
    
-_get_interval()[source]
    
+_get_interval()[source]
 
    Internal function for retrieving isolation interval from cache.
    
 
    
 
 
    
 
    
-classmethod _get_reals(factors, use_cache=True)[source]
    
+classmethod _get_reals(factors, use_cache=True)[source]
 
    Compute real root isolating intervals for a list of factors.
    
 
    
 
@@ -5895,13 +5895,13 @@ 
    Formal manipulation of roots of polynomialsuse_cache=True,
    
 
    
 
-)[source]
+)[source]
 
    Get real root isolating intervals for a square-free factor.
    
 
    
 
 
    
 
    
-classmethod _get_roots(method, poly, radicals)[source]
    
+classmethod _get_roots(method, poly, radicals)[source]
 
    Return postprocessed roots of specified kind.
    
 
    
 
@@ -5915,7 +5915,7 @@ 
    Formal manipulation of roots of polynomialsradicals,
    
 
    
 
-)[source]
+)[source]
 
    Return postprocessed roots of specified kind
 for polynomials with algebraic coefficients. It assumes
 the domain is already an algebraic field. First it
@@ -5934,7 +5934,7 @@ 
    Formal manipulation of roots of polynomialsradicals,
    
 
    
 
-)[source]
+)[source]
 
    Return postprocessed roots of specified kind
 for polynomials with rational coefficients.
    
 
    
@@ -5949,50 +5949,50 @@ 
    Formal manipulation of roots of polynomialslazy=False,
    
 
    
 
-)[source]
+)[source]
 
    Get a root of a composite polynomial by index.
    
 
    
 
 
    
 
    
-classmethod _new(poly, index)[source]
    
+classmethod _new(poly, index)[source]
 
    Construct new CRootOf object from raw data.
    
 
    
 
 
    
 
    
-classmethod _postprocess_root(root, radicals)[source]
    
+classmethod _postprocess_root(root, radicals)[source]
 
    Return the root if it is trivial or a CRootOf object.
    
 
    
 
 
    
 
    
-classmethod _preprocess_roots(poly)[source]
    
+classmethod _preprocess_roots(poly)[source]
 
    Take heroic measures to make poly compatible with CRootOf.
    
 
    
 
 
    
 
    
-classmethod _real_roots(poly)[source]
    
+classmethod _real_roots(poly)[source]
 
    Get real roots of a composite polynomial.
    
 
    
 
 
    
 
    
-classmethod _reals_index(reals, index)[source]
    
+classmethod _reals_index(reals, index)[source]
 
    Map initial real root index to an index in a factor where
 the root belongs.
    
 
    
 
 
    
 
    
-classmethod _reals_sorted(reals)[source]
    
+classmethod _reals_sorted(reals)[source]
 
    Make real isolating intervals disjoint and sort roots.
    
 
    
 
 
    
 
    
-classmethod _refine_complexes(complexes)[source]
    
+classmethod _refine_complexes(complexes)[source]
 
    return complexes such that no bounding rectangles of non-conjugate
 roots would intersect. In addition, assure that neither ay nor by is
 0 to guarantee that non-real roots are distinct from real roots in
@@ -6001,31 +6001,31 @@ 
    Formal manipulation of roots of polynomials
 
    
-_reset()[source]
    
+_reset()[source]
 
    Reset all intervals
    
 
    
 
 
    
 
    
-classmethod _roots_trivial(poly, radicals)[source]
    
+classmethod _roots_trivial(poly, radicals)[source]
 
    Compute roots in linear, quadratic and binomial cases.
    
 
    
 
 
    
 
    
-_set_interval(interval)[source]
    
+_set_interval(interval)[source]
 
    Internal function for updating isolation interval in cache.
    
 
    
 
 
    
 
    
-classmethod all_roots(poly, radicals=True)[source]
    
+classmethod all_roots(poly, radicals=True)[source]
 
    Get real and complex roots of a polynomial.
    
 
    
 
 
    
 
    
-classmethod clear_cache()[source]
    
+classmethod clear_cache()[source]
 
    Reset cache for reals and complexes.
    
 
    The intervals used to approximate a root instance are updated
 as needed. When a request is made to see the intervals, the
@@ -6039,7 +6039,7 @@ 
    Formal manipulation of roots of polynomials
 
    
-eval_approx(n, return_mpmath=False)[source]
    
+eval_approx(n, return_mpmath=False)[source]
 
    Evaluate this complex root to the given precision.
    
 
    This uses secant method and root bounds are used to both
 generate an initial guess and to check that the root
@@ -6057,7 +6057,7 @@ 
    Formal manipulation of roots of polynomialsn=15,
    
 
    
 
-)[source]
+)[source]
 
    Return a Rational approximation of self that has real
 and imaginary component approximations that are within dx
 and dy of the true values, respectively. Alternatively,
@@ -6090,7 +6090,7 @@ 
    Formal manipulation of roots of polynomials
 
    
-classmethod real_roots(poly, radicals=True)[source]
    
+classmethod real_roots(poly, radicals=True)[source]
 
    Get real roots of a polynomial.
    
 
    
 
@@ -6108,11 +6108,11 @@ 
    Formal manipulation of roots of polynomialsquadratic=False,
    
 
    
 
-)[source]
+)[source]
 
    Represents a sum of all roots of a univariate polynomial.
    
 
    
 
    
-classmethod new(poly, func, auto=True)[source]
    
+classmethod new(poly, func, auto=True)[source]
 
    Construct new RootSum instance.
    
 
    
 
@@ -6140,7 +6140,7 @@ 
    Symbolic root-finding algorithms**flags,
    
 
    
 
-)[source]
+)[source]
 
    Computes symbolic roots of a univariate polynomial.
    
 
    Given a univariate polynomial f with symbolic coefficients (or
 a list of the polynomial’s coefficients), returns a dictionary
@@ -6242,7 +6242,7 @@ 
    Symbolic root-finding algorithms
    
 
    
 
    
-sympy.polys.specialpolys.swinnerton_dyer_poly(n, x=None, polys=False)[source]
    
+sympy.polys.specialpolys.swinnerton_dyer_poly(n, x=None, polys=False)[source]
 
    Generates n-th Swinnerton-Dyer polynomial in \(x\).
    
 
    
 
    Parameters:
    
@@ -6262,7 +6262,7 @@ 
    Special polynomials
 
    
-sympy.polys.specialpolys.interpolating_poly(n, x, X='x', Y='y')[source]
    
+sympy.polys.specialpolys.interpolating_poly(n, x, X='x', Y='y')[source]
 
    Construct Lagrange interpolating polynomial for n
 data points. If a sequence of values are given for X and Y
 then the first n values will be used.
    
@@ -6270,7 +6270,7 @@ 
    Special polynomials
 
    
-sympy.polys.specialpolys.cyclotomic_poly(n, x=None, polys=False)[source]
    
+sympy.polys.specialpolys.cyclotomic_poly(n, x=None, polys=False)[source]
 
    Generates cyclotomic polynomial of order \(n\) in \(x\).
    
 
    
 
    Parameters:
    
@@ -6290,7 +6290,7 @@ 
    Special polynomials
 
    
-sympy.polys.specialpolys.symmetric_poly(n, *gens, polys=False)[source]
    
+sympy.polys.specialpolys.symmetric_poly(n, *gens, polys=False)[source]
 
    Generates symmetric polynomial of order \(n\).
    
 
    
 
    Parameters:
    
@@ -6316,7 +6316,7 @@ 
    Special polynomialspolys=False,
    
 
    
 
-)[source]
+)[source]
 
    Generates a polynomial of degree n with coefficients in
 [inf, sup].
    
 
    
@@ -6356,7 +6356,7 @@ 
    Special polynomials
    
 
    
 
    
-sympy.polys.orthopolys.chebyshevt_poly(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.chebyshevt_poly(n, x=None, polys=False)[source]
 
    Generates the Chebyshev polynomial of the first kind \(T_n(x)\).
    
 
    
 
    Parameters:
    
@@ -6375,7 +6375,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.chebyshevu_poly(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.chebyshevu_poly(n, x=None, polys=False)[source]
 
    Generates the Chebyshev polynomial of the second kind \(U_n(x)\).
    
 
    
 
    Parameters:
    
@@ -6394,7 +6394,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.gegenbauer_poly(n, a, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.gegenbauer_poly(n, a, x=None, polys=False)[source]
 
    Generates the Gegenbauer polynomial \(C_n^{(a)}(x)\).
    
 
    
 
    Parameters:
    
@@ -6417,7 +6417,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.hermite_poly(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.hermite_poly(n, x=None, polys=False)[source]
 
    Generates the Hermite polynomial \(H_n(x)\).
    
 
    
 
    Parameters:
    
@@ -6436,7 +6436,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.hermite_prob_poly(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.hermite_prob_poly(n, x=None, polys=False)[source]
 
    Generates the probabilist’s Hermite polynomial \(He_n(x)\).
    
 
    
 
    Parameters:
    
@@ -6455,7 +6455,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.jacobi_poly(n, a, b, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.jacobi_poly(n, a, b, x=None, polys=False)[source]
 
    Generates the Jacobi polynomial \(P_n^{(a,b)}(x)\).
    
 
    
 
    Parameters:
    
@@ -6482,7 +6482,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.legendre_poly(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.legendre_poly(n, x=None, polys=False)[source]
 
    Generates the Legendre polynomial \(P_n(x)\).
    
 
    
 
    Parameters:
    
@@ -6501,7 +6501,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.laguerre_poly(n, x=None, alpha=0, polys=False)[source]
    
+sympy.polys.orthopolys.laguerre_poly(n, x=None, alpha=0, polys=False)[source]
 
    Generates the Laguerre polynomial \(L_n^{(\alpha)}(x)\).
    
 
    
 
    Parameters:
    
@@ -6524,7 +6524,7 @@ 
    Orthogonal polynomials
 
    
-sympy.polys.orthopolys.spherical_bessel_fn(n, x=None, polys=False)[source]
    
+sympy.polys.orthopolys.spherical_bessel_fn(n, x=None, polys=False)[source]
 
    Coefficients for the spherical Bessel functions.
    
 
    These are only needed in the jn() function.
    
 
    The coefficients are calculated from:
    
@@ -6565,7 +6565,7 @@ 
    Orthogonal polynomialsAppell sequences
    
 
    
 
    
-sympy.polys.appellseqs.bernoulli_poly(n, x=None, polys=False)[source]
    
+sympy.polys.appellseqs.bernoulli_poly(n, x=None, polys=False)[source]
 
    Generates the Bernoulli polynomial \(\operatorname{B}_n(x)\).
    
 
    \(\operatorname{B}_n(x)\) is the unique polynomial satisfying
    
 
    
@@ -6633,7 +6633,7 @@ 
    Appell sequences
 
    
-sympy.polys.appellseqs.bernoulli_c_poly(n, x=None, polys=False)[source]
    
+sympy.polys.appellseqs.bernoulli_c_poly(n, x=None, polys=False)[source]
 
    Generates the central Bernoulli polynomial \(\operatorname{B}_n^c(x)\).
    
 
    These are scaled and shifted versions of the plain Bernoulli polynomials,
 done in such a way that \(\operatorname{B}_n^c(x)\) is an even or odd function
@@ -6660,7 +6660,7 @@ 
    Appell sequences
 
    
-sympy.polys.appellseqs.genocchi_poly(n, x=None, polys=False)[source]
    
+sympy.polys.appellseqs.genocchi_poly(n, x=None, polys=False)[source]
 
    Generates the Genocchi polynomial \(\operatorname{G}_n(x)\).
    
 
    \(\operatorname{G}_n(x)\) is twice the difference between the plain and
 central Bernoulli polynomials, so has degree \(n-1\):
    
@@ -6692,7 +6692,7 @@ 
    Appell sequences
 
    
-sympy.polys.appellseqs.euler_poly(n, x=None, polys=False)[source]
    
+sympy.polys.appellseqs.euler_poly(n, x=None, polys=False)[source]
 
    Generates the Euler polynomial \(\operatorname{E}_n(x)\).
    
 
    These are scaled and reindexed versions of the Genocchi polynomials:
    
 
    
@@ -6720,7 +6720,7 @@ 
    Appell sequences
 
    
-sympy.polys.appellseqs.andre_poly(n, x=None, polys=False)[source]
    
+sympy.polys.appellseqs.andre_poly(n, x=None, polys=False)[source]
 
    Generates the Andre polynomial \(\mathcal{A}_n(x)\).
    
 
    This is the Appell sequence where the constant coefficients form the sequence
 of Euler numbers euler(n). As such they have integer coefficients
@@ -6788,7 +6788,7 @@ 
    Appell sequences
    
 
    
 
    
-sympy.polys.rationaltools.together(expr, deep=False, fraction=True)[source]
    
+sympy.polys.rationaltools.together(expr, deep=False, fraction=True)[source]
 
    Denest and combine rational expressions using symbolic methods.
    
 
    This function takes an expression or a container of expressions
 and puts it (them) together by denesting and combining rational
@@ -6846,7 +6846,7 @@ 
    Manipulation of rational functions
    
 
    
 
    
-sympy.polys.partfrac.apart(f, x=None, full=False, **options)[source]
    
+sympy.polys.partfrac.apart(f, x=None, full=False, **options)[source]
 
    Compute partial fraction decomposition of a rational function.
    
 
    Given a rational function f, computes the partial fraction
 decomposition of f. Two algorithms are available: One is based on the
@@ -6896,7 +6896,7 @@ 
    Partial fraction decomposition
 
    
-sympy.polys.partfrac.apart_list(f, x=None, dummies=None, **options)[source]
    
+sympy.polys.partfrac.apart_list(f, x=None, dummies=None, **options)[source]
 
    Compute partial fraction decomposition of a rational function
 and return the result in structured form.
    
 
    Given a rational function f compute the partial fraction decomposition
@@ -7001,7 +7001,7 @@ 
    Partial fraction decomposition
 
    
-sympy.polys.partfrac.assemble_partfrac_list(partial_list)[source]
    
+sympy.polys.partfrac.assemble_partfrac_list(partial_list)[source]
 
    Reassemble a full partial fraction decomposition
 from a structured result obtained by the function apart_list.
    
 
    Examples
    
@@ -7064,7 +7064,7 @@ 
    Partial fraction decomposition
    
 
    
 
    
-sympy.polys.dispersion.dispersionset(p, q=None, *gens, **args)[source]
    
+sympy.polys.dispersion.dispersionset(p, q=None, *gens, **args)[source]
 
    Compute the dispersion set of two polynomials.
    
 
    For two polynomials \(f(x)\) and \(g(x)\) with \(\deg f > 0\)
 and \(\deg g > 0\) the dispersion set \(\operatorname{J}(f, g)\) is defined as:
    
@@ -7147,7 +7147,7 @@ 
    Dispersion of Polynomials
 
    
-sympy.polys.dispersion.dispersion(p, q=None, *gens, **args)[source]
    
+sympy.polys.dispersion.dispersion(p, q=None, *gens, **args)[source]
 
    Compute the dispersion of polynomials.
    
 
    For two polynomials \(f(x)\) and \(g(x)\) with \(\deg f > 0\)
 and \(\deg g > 0\) the dispersion \(\operatorname{dis}(f, g)\) is defined as:
    
diff --git a/dev/modules/polys/ringseries.html b/dev/modules/polys/ringseries.html
index 04d542ff741..f9bee22610f 100644
--- a/dev/modules/polys/ringseries.html
+++ b/dev/modules/polys/ringseries.html
@@ -963,7 +963,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_log(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_log(p, x, prec)[source]
 
    The Logarithm of p modulo O(x**prec).
    
 
    Notes
    
 
    Truncation of integral dx p**-1*d p/dx is used.
    
@@ -982,7 +982,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_LambertW(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_LambertW(p, x, prec)[source]
 
    Calculate the series expansion of the principal branch of the Lambert W
 function.
    
 
    Examples
    
@@ -1002,7 +1002,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_exp(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_exp(p, x, prec)[source]
 
    Exponentiation of a series modulo O(x**prec)
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1017,7 +1017,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_atan(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_atan(p, x, prec)[source]
 
    The arctangent of a series
    
 
    Return the series expansion of the atan of p, about 0.
    
 
    Examples
    
@@ -1037,7 +1037,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_asin(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_asin(p, x, prec)[source]
 
    Arcsine of a series
    
 
    Return the series expansion of the asin of p, about 0.
    
 
    Examples
    
@@ -1057,7 +1057,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_tan(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_tan(p, x, prec)[source]
 
    
 
    Tangent of a series.
    
 
    Return the series expansion of the tan of p, about 0.
    
@@ -1079,7 +1079,7 @@ 
    Reference
 
    
-sympy.polys.ring_series._tan1(p, x, prec)[source]
    
+sympy.polys.ring_series._tan1(p, x, prec)[source]
 
    Helper function of rs_tan().
    
 
    Return the series expansion of tan of a univariate series using Newton’s
 method. It takes advantage of the fact that series expansion of atan is
@@ -1092,7 +1092,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_cot(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_cot(p, x, prec)[source]
 
    Cotangent of a series
    
 
    Return the series expansion of the cot of p, about 0.
    
 
    Examples
    
@@ -1112,7 +1112,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_sin(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_sin(p, x, prec)[source]
 
    Sine of a series
    
 
    Return the series expansion of the sin of p, about 0.
    
 
    Examples
    
@@ -1134,7 +1134,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_cos(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_cos(p, x, prec)[source]
 
    Cosine of a series
    
 
    Return the series expansion of the cos of p, about 0.
    
 
    Examples
    
@@ -1156,14 +1156,14 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_cos_sin(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_cos_sin(p, x, prec)[source]
 
    Return the tuple (rs_cos(p, x, prec)`, `rs_sin(p, x, prec)).
    
 
    Is faster than calling rs_cos and rs_sin separately
    
 
    
 
 
    
 
    
-sympy.polys.ring_series.rs_atanh(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_atanh(p, x, prec)[source]
 
    Hyperbolic arctangent of a series
    
 
    Return the series expansion of the atanh of p, about 0.
    
 
    Examples
    
@@ -1183,7 +1183,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_sinh(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_sinh(p, x, prec)[source]
 
    Hyperbolic sine of a series
    
 
    Return the series expansion of the sinh of p, about 0.
    
 
    Examples
    
@@ -1203,7 +1203,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_cosh(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_cosh(p, x, prec)[source]
 
    Hyperbolic cosine of a series
    
 
    Return the series expansion of the cosh of p, about 0.
    
 
    Examples
    
@@ -1223,7 +1223,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_tanh(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_tanh(p, x, prec)[source]
 
    Hyperbolic tangent of a series
    
 
    Return the series expansion of the tanh of p, about 0.
    
 
    Examples
    
@@ -1243,7 +1243,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_hadamard_exp(p1, inverse=False)[source]
    
+sympy.polys.ring_series.rs_hadamard_exp(p1, inverse=False)[source]
 
    Return sum f_i/i!*x**i from sum f_i*x**i,
 where x is the first variable.
    
 
    If invers=True return sum f_i*i!*x**i
    
@@ -1262,7 +1262,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_mul(p1, p2, x, prec)[source]
    
+sympy.polys.ring_series.rs_mul(p1, p2, x, prec)[source]
 
    Return the product of the given two series, modulo O(x**prec).
    
 
    x is the series variable or its position in the generators.
    
 
    Examples
    
@@ -1280,7 +1280,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_square(p1, x, prec)[source]
    
+sympy.polys.ring_series.rs_square(p1, x, prec)[source]
 
    Square the series modulo O(x**prec)
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1296,7 +1296,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_pow(p1, n, x, prec)[source]
    
+sympy.polys.ring_series.rs_pow(p1, n, x, prec)[source]
 
    Return p1**n modulo O(x**prec)
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1312,7 +1312,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_series_inversion(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_series_inversion(p, x, prec)[source]
 
    Multivariate series inversion 1/p modulo O(x**prec).
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1331,7 +1331,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_series_reversion(p, x, n, y)[source]
    
+sympy.polys.ring_series.rs_series_reversion(p, x, n, y)[source]
 
    Reversion of a series.
    
 
    p is a series with O(x**n) of the form \(p = ax + f(x)\)
 where \(a\) is a number different from 0.
    
@@ -1376,7 +1376,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_nth_root(p, n, x, prec)[source]
    
+sympy.polys.ring_series.rs_nth_root(p, n, x, prec)[source]
 
    Multivariate series expansion of the nth root of p.
    
 
    
 
    Parameters:
    
@@ -1416,7 +1416,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_trunc(p1, x, prec)[source]
    
+sympy.polys.ring_series.rs_trunc(p1, x, prec)[source]
 
    Truncate the series in the x variable with precision prec,
 that is, modulo O(x**prec)
    
 
    Examples
    
@@ -1435,7 +1435,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_subs(p, rules, x, prec)[source]
    
+sympy.polys.ring_series.rs_subs(p, rules, x, prec)[source]
 
    Substitution with truncation according to the mapping in rules.
    
 
    Return a series with precision prec in the generator x
    
 
    Note that substitutions are not done one after the other
    
@@ -1476,7 +1476,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_diff(p, x)[source]
    
+sympy.polys.ring_series.rs_diff(p, x)[source]
 
    Return partial derivative of p with respect to x.
    
 
    
 
    Parameters:
    
@@ -1497,7 +1497,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_integrate(p, x)[source]
    
+sympy.polys.ring_series.rs_integrate(p, x)[source]
 
    Integrate p with respect to x.
    
 
    
 
    Parameters:
    
@@ -1518,7 +1518,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_newton(p, x, prec)[source]
    
+sympy.polys.ring_series.rs_newton(p, x, prec)[source]
 
    Compute the truncated Newton sum of the polynomial p
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1534,7 +1534,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_compose_add(p1, p2)[source]
    
+sympy.polys.ring_series.rs_compose_add(p1, p2)[source]
 
    compute the composed sum prod(p2(x - beta) for beta root of p1)
    
 
    Examples
    
 
    >>> from sympy.polys.domains import QQ
@@ -1562,7 +1562,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_is_puiseux(p, x)[source]
    
+sympy.polys.ring_series.rs_is_puiseux(p, x)[source]
 
    Test if p is Puiseux series in x.
    
 
    Raise an exception if it has a negative power in x.
    
 
    Examples
    
@@ -1579,7 +1579,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_puiseux(f, p, x, prec)[source]
    
+sympy.polys.ring_series.rs_puiseux(f, p, x, prec)[source]
 
    Return the puiseux series for \(f(p, x, prec)\).
    
 
    To be used when function f is implemented only for regular series.
    
 
    Examples
    
@@ -1596,14 +1596,14 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_puiseux2(f, p, q, x, prec)[source]
    
+sympy.polys.ring_series.rs_puiseux2(f, p, q, x, prec)[source]
 
    Return the puiseux series for \(f(p, q, x, prec)\).
    
 
    To be used when function f is implemented only for regular series.
    
 
    
 
 
    
 
    
-sympy.polys.ring_series.rs_series_from_list(p, c, x, prec, concur=1)[source]
    
+sympy.polys.ring_series.rs_series_from_list(p, c, x, prec, concur=1)[source]
 
    Return a series \(sum c[n]*p**n\) modulo \(O(x**prec)\).
    
 
    It reduces the number of multiplications by summing concurrently.
    
 
    \(ax = [1, p, p**2, .., p**(J - 1)]\)
@@ -1629,7 +1629,7 @@ 
    Reference
 
    
-sympy.polys.ring_series.rs_fun(p, f, *args)[source]
    
+sympy.polys.ring_series.rs_fun(p, f, *args)[source]
 
    Function of a multivariate series computed by substitution.
    
 
    The case with f method name is used to compute \(rs\_tan\) and \(rs\_nth\_root\)
 of a multivariate series:
    
@@ -1661,14 +1661,14 @@ 
    Reference
 
    
-sympy.polys.ring_series.mul_xin(p, i, n)[source]
    
+sympy.polys.ring_series.mul_xin(p, i, n)[source]
 
    Return \(p*x_i**n\).
    
 
    \(x\_i\) is the ith variable in p.
    
 
    
 
 
    
 
    
-sympy.polys.ring_series.pow_xin(p, i, n)[source]
    
+sympy.polys.ring_series.pow_xin(p, i, n)[source]
 
    >>> from sympy.polys.domains import QQ
 >>> from sympy.polys.rings import ring
 >>> from sympy.polys.ring_series import pow_xin
diff --git a/dev/modules/polys/solvers.html b/dev/modules/polys/solvers.html
index 9e05755a693..47b65423322 100644
--- a/dev/modules/polys/solvers.html
+++ b/dev/modules/polys/solvers.html
@@ -805,7 +805,7 @@ 
    Documentation Version
    
 
    Low-level linear systems solver.
    
 
    
 
    
-sympy.polys.solvers.solve_lin_sys(eqs, ring, _raw=True)[source]
    
+sympy.polys.solvers.solve_lin_sys(eqs, ring, _raw=True)[source]
 
    Solve a system of linear equations from a PolynomialRing
    
 
    
 
    Parameters:
    
@@ -874,7 +874,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.polys.solvers.eqs_to_matrix(eqs_coeffs, eqs_rhs, gens, domain)[source]
    
+sympy.polys.solvers.eqs_to_matrix(eqs_coeffs, eqs_rhs, gens, domain)[source]
 
    Get matrix from linear equations in dict format.
    
 
    
 
    Parameters:
    
@@ -927,7 +927,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.polys.solvers.sympy_eqs_to_ring(eqs, symbols)[source]
    
+sympy.polys.solvers.sympy_eqs_to_ring(eqs, symbols)[source]
 
    Convert a system of equations from Expr to a PolyRing
    
 
    
 
    Parameters:
    
@@ -975,7 +975,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.polys.solvers._solve_lin_sys(eqs_coeffs, eqs_rhs, ring)[source]
    
+sympy.polys.solvers._solve_lin_sys(eqs_coeffs, eqs_rhs, ring)[source]
 
    Solve a linear system from dict of PolynomialRing coefficients
    
 
    Explanation
    
 
    This is an internal function used by solve_lin_sys() after the
@@ -1013,7 +1013,7 @@ 
    Documentation Version
    
 
    ring,
    
 
    
 
-)[source]
+)[source]
 
    Solve a linear system from dict of PolynomialRing coefficients
    
 
    Explanation
    
 
    This is an internal function used by solve_lin_sys() after the
diff --git a/dev/modules/printing.html b/dev/modules/printing.html
index a8e914eb4eb..847220286fd 100644
--- a/dev/modules/printing.html
+++ b/dev/modules/printing.html
@@ -1012,7 +1012,7 @@ 
    Common mistakessource code):
    
 
    
 
    
-class sympy.printing.printer.Printer(settings=None)[source]
    
+class sympy.printing.printer.Printer(settings=None)[source]
 
    Generic printer
    
 
    Its job is to provide infrastructure for implementing new printers easily.
    
 
    If you want to define your custom Printer or your custom printing method
@@ -1024,7 +1024,7 @@ 
    Common mistakes
 
    
-_print(expr, **kwargs) → str[source]
    
+_print(expr, **kwargs) → str[source]
 
    Internal dispatcher
    
 
    
 
    Tries the following concepts to print an expression:
      
@@ -1038,13 +1038,13 @@ 
      Common mistakes
 
      
-doprint(expr)[source]
      
+doprint(expr)[source]
 
      Returns printer’s representation for expr (as a string)
      
 
    
 
 
    
 
    
-classmethod set_global_settings(**settings)[source]
    
+classmethod set_global_settings(**settings)[source]
 
    Set system-wide printing settings.
    
 
    
 
@@ -1066,7 +1066,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.pretty.pretty.PrettyPrinter(settings=None)[source]
    
+class sympy.printing.pretty.pretty.PrettyPrinter(settings=None)[source]
 
    Printer, which converts an expression into 2D ASCII-art figure.
    
 
    
 
    
@@ -1101,7 +1101,7 @@ 
    PrettyPrinter Class
 
    
-sympy.printing.pretty.pretty.pretty_print(expr, **kwargs)[source]
    
+sympy.printing.pretty.pretty.pretty_print(expr, **kwargs)[source]
    
 
    Prints expr in pretty form.
    
 
    pprint is just a shortcut for this function.
    
 
    
@@ -1186,7 +1186,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.c.C89CodePrinter(settings=None)[source]
    
+class sympy.printing.c.C89CodePrinter(settings=None)[source]
 
    A printer to convert Python expressions to strings of C code
    
 
    
 
    
@@ -1195,7 +1195,7 @@ 
    PrettyPrinter Class
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -1203,7 +1203,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.c.C99CodePrinter(settings=None)[source]
    
+class sympy.printing.c.C99CodePrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_ccode'
    
@@ -1222,7 +1222,7 @@ 
    PrettyPrinter Class**settings,
    
 
    
 
-)[source]
+)[source]
 
    Converts an expr to a string of c code
    
 
    
 
    Parameters:
    
@@ -1370,7 +1370,7 @@ 
    PrettyPrinter Class
 
    
-sympy.printing.c.print_ccode(expr, **settings)[source]
    
+sympy.printing.c.print_ccode(expr, **settings)[source]
 
    Prints C representation of the given expression.
    
 
    
 
@@ -1389,7 +1389,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.cxx.CXX98CodePrinter(settings=None)[source]
    
+class sympy.printing.cxx.CXX98CodePrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_cxxcode'
    
@@ -1399,7 +1399,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.cxx.CXX11CodePrinter(settings=None)[source]
    
+class sympy.printing.cxx.CXX11CodePrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_cxxcode'
    
@@ -1418,7 +1418,7 @@ 
    PrettyPrinter Class**settings,
    
 
    
 
-)[source]
+)[source]
 
    C++ equivalent of ccode().
    
 
    
 
@@ -1446,7 +1446,7 @@ 
    PrettyPrinter Class
 
    
-class sympy.printing.rcode.RCodePrinter(settings={})[source]
    
+class sympy.printing.rcode.RCodePrinter(settings={})[source]
 
    A printer to convert SymPy expressions to strings of R code
    
 
    
 
    
@@ -1455,7 +1455,7 @@ 
    PrettyPrinter Class
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -1463,7 +1463,7 @@ 
    PrettyPrinter Class
 
    
-sympy.printing.rcode.rcode(expr, assign_to=None, **settings)[source]
    
+sympy.printing.rcode.rcode(expr, assign_to=None, **settings)[source]
 
    Converts an expr to a string of r code
    
 
    
 
    Parameters:
    
@@ -1582,7 +1582,7 @@ 
    PrettyPrinter Class
 
    
-sympy.printing.rcode.print_rcode(expr, **settings)[source]
    
+sympy.printing.rcode.print_rcode(expr, **settings)[source]
 
    Prints R representation of the given expression.
    
 
    
 
@@ -1597,7 +1597,7 @@ 
    Fortran Printing
 
    
-sympy.printing.fortran.fcode(expr, assign_to=None, **settings)[source]
    
+sympy.printing.fortran.fcode(expr, assign_to=None, **settings)[source]
 
    Converts an expr to a string of fortran code
    
 
    
 
    Parameters:
    
@@ -1733,14 +1733,14 @@ 
    Fortran Printing
 
    
-sympy.printing.fortran.print_fcode(expr, **settings)[source]
    
+sympy.printing.fortran.print_fcode(expr, **settings)[source]
 
    Prints the Fortran representation of the given expression.
    
 
    See fcode for the meaning of the optional arguments.
    
 
    
 
 
    
 
    
-class sympy.printing.fortran.FCodePrinter(settings=None)[source]
    
+class sympy.printing.fortran.FCodePrinter(settings=None)[source]
 
    A printer to convert SymPy expressions to strings of Fortran code
    
 
    
 
    
@@ -1749,7 +1749,7 @@ 
    Fortran Printing
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -1883,7 +1883,7 @@ 
    Fortran Printingsymbol_table=None,
    
 
    
 
-)[source]
+)[source]
 
    
 
    
 printmethod: str = '_smtlib'
    
@@ -1914,7 +1914,7 @@ 
    Fortran Printinglog_warn=None,
    
 
    
 
-)[source]
+)[source]
 
    Converts expr to a string of smtlib code.
    
 
    
 
    Parameters:
    
@@ -2029,7 +2029,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.mathematica.MCodePrinter(settings={})[source]
    
+class sympy.printing.mathematica.MCodePrinter(settings={})[source]
 
    A printer to convert Python expressions to
 strings of the Wolfram’s Mathematica code
    
 
    
@@ -2041,7 +2041,7 @@ 
    Fortran Printing
 
    
-sympy.printing.mathematica.mathematica_code(expr, **settings)[source]
    
+sympy.printing.mathematica.mathematica_code(expr, **settings)[source]
 
    Converts an expr to a string of the Wolfram Mathematica code
    
 
    Examples
    
 
    >>> from sympy import mathematica_code as mcode, symbols, sin
@@ -2057,7 +2057,7 @@ 
    Fortran Printing
    Maple code printing
    
 
    
 
    
-class sympy.printing.maple.MapleCodePrinter(settings=None)[source]
    
+class sympy.printing.maple.MapleCodePrinter(settings=None)[source]
 
    Printer which converts a SymPy expression into a maple code.
    
 
    
 
    
@@ -2068,7 +2068,7 @@ 
    Fortran Printing
 
    
-sympy.printing.maple.maple_code(expr, assign_to=None, **settings)[source]
    
+sympy.printing.maple.maple_code(expr, assign_to=None, **settings)[source]
    
 
    Converts expr to a string of Maple code.
    
 
    
 
    Parameters:
    
@@ -2120,7 +2120,7 @@ 
    Fortran Printing
 
    
-sympy.printing.maple.print_maple_code(expr, **settings)[source]
    
+sympy.printing.maple.print_maple_code(expr, **settings)[source]
 
    Prints the Maple representation of the given expression.
    
 
    See maple_code() for the meaning of the optional arguments.
    
 
    Examples
    
@@ -2142,7 +2142,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.jscode.JavascriptCodePrinter(settings={})[source]
    
+class sympy.printing.jscode.JavascriptCodePrinter(settings={})[source]
 
    “A Printer to convert Python expressions to strings of JavaScript code
    
 
    
 
    
@@ -2151,7 +2151,7 @@ 
    Fortran Printing
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -2159,7 +2159,7 @@ 
    Fortran Printing
 
    
-sympy.printing.jscode.jscode(expr, assign_to=None, **settings)[source]
    
+sympy.printing.jscode.jscode(expr, assign_to=None, **settings)[source]
 
    Converts an expr to a string of javascript code
    
 
    
 
    Parameters:
    
@@ -2293,7 +2293,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.julia.JuliaCodePrinter(settings={})[source]
    
+class sympy.printing.julia.JuliaCodePrinter(settings={})[source]
 
    A printer to convert expressions to strings of Julia code.
    
 
    
 
    
@@ -2302,7 +2302,7 @@ 
    Fortran Printing
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -2310,7 +2310,7 @@ 
    Fortran Printing
 
    
-sympy.printing.julia.julia_code(expr, assign_to=None, **settings)[source]
    
+sympy.printing.julia.julia_code(expr, assign_to=None, **settings)[source]
 
    Converts \(expr\) to a string of Julia code.
    
 
    
 
    Parameters:
    
@@ -2477,7 +2477,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.octave.OctaveCodePrinter(settings={})[source]
    
+class sympy.printing.octave.OctaveCodePrinter(settings={})[source]
 
    A printer to convert expressions to strings of Octave/Matlab code.
    
 
    
 
    
@@ -2486,7 +2486,7 @@ 
    Fortran Printing
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -2494,7 +2494,7 @@ 
    Fortran Printing
 
    
-sympy.printing.octave.octave_code(expr, assign_to=None, **settings)[source]
    
+sympy.printing.octave.octave_code(expr, assign_to=None, **settings)[source]
 
    Converts \(expr\) to a string of Octave (or Matlab) code.
    
 
    The string uses a subset of the Octave language for Matlab compatibility.
    
 
    
@@ -2654,7 +2654,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.rust.RustCodePrinter(settings={})[source]
    
+class sympy.printing.rust.RustCodePrinter(settings={})[source]
 
    A printer to convert SymPy expressions to strings of Rust code
    
 
    
 
    
@@ -2663,7 +2663,7 @@ 
    Fortran Printing
 
    
-indent_code(code)[source]
    
+indent_code(code)[source]
    
 
    Accepts a string of code or a list of code lines
    
 
    
 
@@ -2671,7 +2671,7 @@ 
    Fortran Printing
 
    
-sympy.printing.codeprinter.rust_code(expr, assign_to=None, **settings)[source]
    
+sympy.printing.codeprinter.rust_code(expr, assign_to=None, **settings)[source]
 
    Converts an expr to a string of Rust code
    
 
    
 
    Parameters:
    
@@ -2798,7 +2798,7 @@ 
    Fortran Printing
    Aesara Code printing
    
 
    
 
    
-class sympy.printing.aesaracode.AesaraPrinter(*args, **kwargs)[source]
    
+class sympy.printing.aesaracode.AesaraPrinter(*args, **kwargs)[source]
 
    Code printer which creates Aesara symbolic expression graphs.
    
 
    
 
    Parameters:
    
@@ -2839,7 +2839,7 @@ 
    Fortran Printingbroadcastables=None,
    
 
    
 
-)[source]
+)[source]
 
    Convert a SymPy expression to a Aesara graph variable.
    
 
    The dtypes and broadcastables arguments are used to specify the
 data type, dimension, and broadcasting behavior of the Aesara variables
@@ -2883,7 +2883,7 @@ 
    Fortran Printing
 
    
-sympy.printing.aesaracode.aesara_code(expr, cache=None, **kwargs)[source]
    
+sympy.printing.aesaracode.aesara_code(expr, cache=None, **kwargs)[source]
 
    Convert a SymPy expression into a Aesara graph variable.
    
 
    
 
    Parameters:
    
@@ -2929,7 +2929,7 @@ 
    Fortran Printing**kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Create a Aesara function from SymPy expressions.
    
 
    The inputs and outputs are converted to Aesara variables using
 aesara_code() and then passed to aesara.function.
    
@@ -3033,7 +3033,7 @@ 
    Fortran Printingbroadcastables=None,
    
 
    
 
-)[source]
+)[source]
 
    Get value of broadcastables argument to aesara_code() from
 keyword arguments to aesara_function().
    
 
    Included for backwards compatibility.
    
@@ -3084,7 +3084,7 @@ 
    Fortran Printing
 
    
-sympy.printing.gtk.print_gtk(x, start_viewer=True)[source]
    
+sympy.printing.gtk.print_gtk(x, start_viewer=True)[source]
 
    Print to Gtkmathview, a gtk widget capable of rendering MathML.
    
 
    Needs libgtkmathview-bin
    
 
    
@@ -3096,7 +3096,7 @@ 
    Fortran Printingsympy.utilities.lambdify.lambdify() function.
    
 
    
 
    
-class sympy.printing.lambdarepr.LambdaPrinter(settings=None)[source]
    
+class sympy.printing.lambdarepr.LambdaPrinter(settings=None)[source]
 
    This printer converts expressions into strings that can be used by
 lambdify.
    
 
    
@@ -3108,7 +3108,7 @@ 
    Fortran Printing
 
    
-sympy.printing.lambdarepr.lambdarepr(expr, **settings)[source]
    
+sympy.printing.lambdarepr.lambdarepr(expr, **settings)[source]
 
    Returns a string usable for lambdifying.
    
 
    
 
@@ -3126,7 +3126,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.latex.LatexPrinter(settings=None)[source]
    
+class sympy.printing.latex.LatexPrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_latex'
    
@@ -3134,7 +3134,7 @@ 
    Fortran Printing
 
    
-parenthesize_super(s)[source]
    
+parenthesize_super(s)[source]
 
    Protect superscripts in s
    
 
    If the parenthesize_super option is set, protect with parentheses, else
 wrap in braces.
    
@@ -3437,7 +3437,7 @@ 
    Fortran Printing
 
    
-sympy.printing.latex.print_latex(expr, **settings)[source]
    
+sympy.printing.latex.print_latex(expr, **settings)[source]
 
    Prints LaTeX representation of the given expression. Takes the same
 settings as latex().
    
 
    
@@ -3449,12 +3449,12 @@ 
    Fortran Printinghttps://www.w3.org/TR/MathML2
    
 
    
 
    
-class sympy.printing.mathml.MathMLPrinterBase(settings=None)[source]
    
+class sympy.printing.mathml.MathMLPrinterBase(settings=None)[source]
 
    Contains common code required for MathMLContentPrinter and
 MathMLPresentationPrinter.
    
 
    
 
    
-doprint(expr)[source]
    
+doprint(expr)[source]
 
    Prints the expression as MathML.
    
 
    
 
@@ -3462,7 +3462,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.mathml.MathMLContentPrinter(settings=None)[source]
    
+class sympy.printing.mathml.MathMLContentPrinter(settings=None)[source]
 
    Prints an expression to the Content MathML markup language.
    
 
    References: https://www.w3.org/TR/MathML2/chapter4.html
    
 
    
@@ -3472,7 +3472,7 @@ 
    Fortran Printing
 
    
-mathml_tag(e)[source]
    
+mathml_tag(e)[source]
 
    Returns the MathML tag for an expression.
    
 
    
 
@@ -3480,7 +3480,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.mathml.MathMLPresentationPrinter(settings=None)[source]
    
+class sympy.printing.mathml.MathMLPresentationPrinter(settings=None)[source]
 
    Prints an expression to the Presentation MathML markup language.
    
 
    References: https://www.w3.org/TR/MathML2/chapter3.html
    
 
    
@@ -3490,7 +3490,7 @@ 
    Fortran Printing
 
    
-mathml_tag(e)[source]
    
+mathml_tag(e)[source]
 
    Returns the MathML tag for an expression.
    
 
    
 
@@ -3527,7 +3527,7 @@ 
    Fortran Printing
 
    
-sympy.printing.mathml.print_mathml(expr, printer='content', **settings)[source]
    
+sympy.printing.mathml.print_mathml(expr, printer='content', **settings)[source]
 
    Prints a pretty representation of the MathML code for expr. If printer is
 presentation then prints Presentation MathML else prints content MathML.
    
 
    Examples
    
@@ -3557,13 +3557,13 @@ 
    Fortran Printing
 
    
-class sympy.printing.pycode.MpmathPrinter(settings=None)[source]
    
+class sympy.printing.pycode.MpmathPrinter(settings=None)[source]
 
    Lambda printer for mpmath which maintains precision for floats
    
 
    
 
 
    
 
    
-sympy.printing.pycode.pycode(expr, **settings)[source]
    
+sympy.printing.pycode.pycode(expr, **settings)[source]
 
    Converts an expr to a string of Python code
    
 
    
 
    Parameters:
    
@@ -3625,7 +3625,7 @@ 
    Fortran Printingstr() or print().
    
 
    
 
    
-class sympy.printing.repr.ReprPrinter(settings=None)[source]
    
+class sympy.printing.repr.ReprPrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_sympyrepr'
    
@@ -3633,13 +3633,13 @@ 
    Fortran Printing
 
    
-emptyPrinter(expr)[source]
    
+emptyPrinter(expr)[source]
 
    The fallback printer.
    
 
    
 
 
    
 
    
-reprify(args, sep)[source]
    
+reprify(args, sep)[source]
 
    Prints each item in \(args\) and joins them with \(sep\).
    
 
    
 
@@ -3657,7 +3657,7 @@ 
    Fortran Printing
 
    
-class sympy.printing.str.StrPrinter(settings=None)[source]
    
+class sympy.printing.str.StrPrinter(settings=None)[source]
 
    
 
    
 printmethod: str = '_sympystr'
    
@@ -3725,7 +3725,7 @@ 
    Fortran Printing
 
    
-sympy.printing.tree.pprint_nodes(subtrees)[source]
    
+sympy.printing.tree.pprint_nodes(subtrees)[source]
 
    Prettyprints systems of nodes.
    
 
    Examples
    
 
    >>> from sympy.printing.tree import pprint_nodes
@@ -3740,7 +3740,7 @@ 
    Fortran Printing
 
    
-sympy.printing.tree.print_node(node, assumptions=True)[source]
    
+sympy.printing.tree.print_node(node, assumptions=True)[source]
 
    Returns information about the “node”.
    
 
    This includes class name, string representation and assumptions.
    
 
    
@@ -3755,7 +3755,7 @@ 
    Fortran Printing
 
    
-sympy.printing.tree.tree(node, assumptions=True)[source]
    
+sympy.printing.tree.tree(node, assumptions=True)[source]
 
    Returns a tree representation of “node” as a string.
    
 
    It uses print_node() together with pprint_nodes() on node.args recursively.
    
 
    
@@ -3779,7 +3779,7 @@ 
    Fortran Printing
 
    
-sympy.printing.tree.print_tree(node, assumptions=True)[source]
    
+sympy.printing.tree.print_tree(node, assumptions=True)[source]
 
    Prints a tree representation of “node”.
    
 
    
 
    Parameters:
    
@@ -3880,7 +3880,7 @@ 
    Preview
    **latex_settings,
    
 
    
 
-)[source]
+)[source]
 
    View expression or LaTeX markup in PNG, DVI, PostScript or PDF form.
    
 
    If the expr argument is an expression, it will be exported to LaTeX and
 then compiled using the available TeX distribution.  The first argument,
@@ -3979,7 +3979,7 @@ 
    Preview
    Implementation - Helper Classes/Functions
    
 
    
 
    
-sympy.printing.conventions.split_super_sub(text)[source]
    
+sympy.printing.conventions.split_super_sub(text)[source]
 
    Split a symbol name into a name, superscripts and subscripts
    
 
    The first part of the symbol name is considered to be its actual
 ‘name’, followed by super- and subscripts. Each superscript is
@@ -4003,7 +4003,7 @@ 
    Preview¶
 easily translated to C or Fortran.
    
 
    
 
    
-class sympy.printing.codeprinter.CodePrinter(settings=None)[source]
    
+class sympy.printing.codeprinter.CodePrinter(settings=None)[source]
 
    The base class for code-printing subclasses.
    
 
    
 
    
@@ -4012,7 +4012,7 @@ 
    Preview
    
 
    
-doprint(expr, assign_to=None)[source]
    
+doprint(expr, assign_to=None)[source]
    
 
    Print the expression as code.
    
 
    
 
    Parameters:
    
@@ -4033,7 +4033,7 @@ 
    Preview
    
 
    
-exception sympy.printing.codeprinter.AssignmentError[source]
    
+exception sympy.printing.codeprinter.AssignmentError[source]
 
    Raised if an assignment variable for a loop is missing.
    
 
    
 
@@ -4065,7 +4065,7 @@ 
    Preview
    
 
    
-sympy.printing.precedence.precedence(item)[source]
    
+sympy.printing.precedence.precedence(item)[source]
 
    Returns the precedence of a given object.
    
 
    This is the precedence for StrPrinter.
    
 
    
@@ -4076,38 +4076,38 @@ 
    Preview
    Pretty-Printing Implementation Helpers
    
 
    
 
    
-sympy.printing.pretty.pretty_symbology.U(name)[source]
    
+sympy.printing.pretty.pretty_symbology.U(name)[source]
 
    Get a unicode character by name or, None if not found.
    
 
    This exists because older versions of Python use older unicode databases.
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.pretty_use_unicode(flag=None)[source]
    
+sympy.printing.pretty.pretty_symbology.pretty_use_unicode(flag=None)[source]
 
    Set whether pretty-printer should use unicode by default
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.pretty_try_use_unicode()[source]
    
+sympy.printing.pretty.pretty_symbology.pretty_try_use_unicode()[source]
 
    See if unicode output is available and leverage it if possible
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.xstr(*args)[source]
    
+sympy.printing.pretty.pretty_symbology.xstr(*args)[source]
 
    
 
 
    The following two functions return the Unicode version of the inputted Greek
 letter.
    
 
    
 
    
-sympy.printing.pretty.pretty_symbology.g(l)[source]
    
+sympy.printing.pretty.pretty_symbology.g(l)[source]
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.G(l)[source]
    
+sympy.printing.pretty.pretty_symbology.G(l)[source]
 
    
 
 
    
@@ -4143,21 +4143,21 @@ 
    Preview
    The following functions return Unicode vertical objects.
    
 
    
 
    
-sympy.printing.pretty.pretty_symbology.xobj(symb, length)[source]
    
+sympy.printing.pretty.pretty_symbology.xobj(symb, length)[source]
 
    Construct spatial object of given length.
    
 
    return: [] of equal-length strings
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.vobj(symb, height)[source]
    
+sympy.printing.pretty.pretty_symbology.vobj(symb, height)[source]
 
    Construct vertical object of a given height
    
 
    see: xobj
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.hobj(symb, width)[source]
    
+sympy.printing.pretty.pretty_symbology.hobj(symb, width)[source]
 
    Construct horizontal object of a given width
    
 
    see: xobj
    
 
    
@@ -4170,7 +4170,7 @@ 
    Preview
    
 
    
-sympy.printing.pretty.pretty_symbology.VF(txt)[source]
    
+sympy.printing.pretty.pretty_symbology.VF(txt)[source]
 
    
 
 
    
@@ -4181,7 +4181,7 @@ 
    Preview
    The following constants/functions are for rendering atoms and symbols.
    
 
    
 
    
-sympy.printing.pretty.pretty_symbology.xsym(sym)[source]
    
+sympy.printing.pretty.pretty_symbology.xsym(sym)[source]
 
    get symbology for a ‘character’
    
 
    
 
@@ -4192,19 +4192,19 @@ 
    Preview
    
 
    
-sympy.printing.pretty.pretty_symbology.pretty_atom(atom_name, default=None, printer=None)[source]
    
+sympy.printing.pretty.pretty_symbology.pretty_atom(atom_name, default=None, printer=None)[source]
 
    return pretty representation of an atom
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.pretty_symbol(symb_name, bold_name=False)[source]
    
+sympy.printing.pretty.pretty_symbology.pretty_symbol(symb_name, bold_name=False)[source]
 
    return pretty representation of a symbol
    
 
    
 
 
    
 
    
-sympy.printing.pretty.pretty_symbology.annotated(letter)[source]
    
+sympy.printing.pretty.pretty_symbology.annotated(letter)[source]
 
    Return a stylised drawing of the letter letter, together with
 information on how to put annotations (super- and subscripts to the
 left and to the right) on it.
    
@@ -4230,12 +4230,12 @@ 
    Preview
    
 
    
 
    
-class sympy.printing.pretty.stringpict.stringPict(s, baseline=0)[source]
    
+class sympy.printing.pretty.stringpict.stringPict(s, baseline=0)[source]
 
    An ASCII picture.
 The pictures are represented as a list of equal length strings.
    
 
    
 
    
-above(*args)[source]
    
+above(*args)[source]
 
    Put pictures above this picture.
 Returns string, baseline arguments for stringPict.
 Baseline is baseline of bottom picture.
    
@@ -4243,7 +4243,7 @@ 
    Preview
    
 
    
-below(*args)[source]
    
+below(*args)[source]
 
    Put pictures under this picture.
 Returns string, baseline arguments for stringPict.
 Baseline is baseline of top picture
    
@@ -4260,26 +4260,26 @@ 
    Preview
    
 
    
-height()[source]
    
+height()[source]
 
    The height of the picture in characters.
    
 
    
 
 
    
 
    
-left(*args)[source]
    
+left(*args)[source]
 
    Put pictures (left to right) at left.
 Returns string, baseline arguments for stringPict.
    
 
    
 
 
    
 
    
-leftslash()[source]
    
+leftslash()[source]
 
    Precede object by a slash of the proper size.
    
 
    
 
 
    
 
    
-static next(*args)[source]
    
+static next(*args)[source]
 
    Put a string of stringPicts next to each other.
 Returns string, baseline arguments for stringPict.
    
 
    
@@ -4294,7 +4294,7 @@ 
    Preview
    ifascii_nougly=False,
    
 
    
 
-)[source]
+)[source]
 
    Put parentheses around self.
 Returns string, baseline arguments for stringPict.
    
 
    left or right can be None or empty string which means ‘no paren from
@@ -4303,7 +4303,7 @@ 
    Preview
    
 
    
-render(*args, **kwargs)[source]
    
+render(*args, **kwargs)[source]
 
    Return the string form of self.
    
 
    Unless the argument line_break is set to False, it will
 break the expression in a form that can be printed
@@ -4312,7 +4312,7 @@ 
    Preview
    
 
    
-right(*args)[source]
    
+right(*args)[source]
 
    Put pictures next to this one.
 Returns string, baseline arguments for stringPict.
 (Multiline) strings are allowed, and are given a baseline of 0.
    
@@ -4328,14 +4328,14 @@ 
    Preview
    
 
    
-root(n=None)[source]
    
+root(n=None)[source]
 
    Produce a nice root symbol.
 Produces ugly results for big n inserts.
    
 
    
 
 
    
 
    
-static stack(*args)[source]
    
+static stack(*args)[source]
 
    Put pictures on top of each other,
 from top to bottom.
 Returns string, baseline arguments for stringPict.
@@ -4348,13 +4348,13 @@ 
    Preview
    
 
    
-terminal_width()[source]
    
+terminal_width()[source]
 
    Return the terminal width if possible, otherwise return 0.
    
 
    
 
 
    
 
    
-width()[source]
    
+width()[source]
 
    The width of the picture in characters.
    
 
    
 
@@ -4362,7 +4362,7 @@ 
    Preview
    
 
    
-class sympy.printing.pretty.stringpict.prettyForm(s, baseline=0, binding=0, unicode=None)[source]
    
+class sympy.printing.pretty.stringpict.prettyForm(s, baseline=0, binding=0, unicode=None)[source]
 
    Extension of the stringPict class that knows about basic math applications,
 optimizing double minus signs.
    
 
    “Binding” is interpreted as follows:
    
@@ -4380,7 +4380,7 @@ 
    Preview
    
 
    
 
    
-static apply(function, *args)[source]
    
+static apply(function, *args)[source]
 
    Functions of one or more variables.
    
 
    
 
@@ -4407,7 +4407,7 @@ 
    dotprint
 
    **kwargs,
    
 
    
 
-)[source]
+)[source]
 
    DOT description of a SymPy expression tree
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/rewriting.html b/dev/modules/rewriting.html
index a3f72d90b90..76b07c3ccca 100644
--- a/dev/modules/rewriting.html
+++ b/dev/modules/rewriting.html
@@ -914,7 +914,7 @@ 
    Common Subexpression Detection and Collectionlist=True,
    
 
    
 
-)[source]
+)[source]
 
    Perform common subexpression elimination on an expression.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/series/formal.html b/dev/modules/series/formal.html
index f3cef39e77f..7fcab8d8b49 100644
--- a/dev/modules/series/formal.html
+++ b/dev/modules/series/formal.html
@@ -803,7 +803,7 @@ 
    Formal Power Series
 
    
-class sympy.series.formal.FormalPowerSeries(*args)[source]
    
+class sympy.series.formal.FormalPowerSeries(*args)[source]
 
    Represents Formal Power Series of a function.
    
 
    Explanation
    
 
    No computation is performed. This class should only to be used to represent
@@ -815,7 +815,7 @@ 
    Formal Power Series
 
    
-coeff_bell(n)[source]
    
+coeff_bell(n)[source]
 
    self.coeff_bell(n) returns a sequence of Bell polynomials of the second kind.
 Note that n should be a integer.
    
 
    The second kind of Bell polynomials (are sometimes called “partial” Bell
@@ -841,7 +841,7 @@ 
    Formal Power Series
 
    
-compose(other, x=None, n=6)[source]
    
+compose(other, x=None, n=6)[source]
 
    Returns the truncated terms of the formal power series of the composed function,
 up to specified n.
    
 
    
@@ -897,7 +897,7 @@ 
    Formal Power Series
 
    
-integrate(x=None, **kwargs)[source]
    
+integrate(x=None, **kwargs)[source]
 
    Integrate Formal Power Series.
    
 
    Examples
    
 
    >>> from sympy import fps, sin, integrate
@@ -913,7 +913,7 @@ 
    Formal Power Series
 
    
-inverse(x=None, n=6)[source]
    
+inverse(x=None, n=6)[source]
 
    Returns the truncated terms of the inverse of the formal power series,
 up to specified n.
    
 
    
@@ -963,7 +963,7 @@ 
    Formal Power Series
 
    
-polynomial(n=6)[source]
    
+polynomial(n=6)[source]
 
    Truncated series as polynomial.
    
 
    Explanation
    
 
    Returns series expansion of f upto order O(x**n)
@@ -972,7 +972,7 @@ 
    Formal Power Series
 
    
-product(other, x=None, n=6)[source]
    
+product(other, x=None, n=6)[source]
 
    Multiplies two Formal Power Series, using discrete convolution and
 return the truncated terms upto specified order.
    
 
    
@@ -1003,7 +1003,7 @@ 
    Formal Power Series
 
    
-truncate(n=6)[source]
    
+truncate(n=6)[source]
 
    Truncated series.
    
 
    Explanation
    
 
    Returns truncated series expansion of f upto
@@ -1028,7 +1028,7 @@ 
    Formal Power Seriesfull=False,
    
 
    
 
-)[source]
+)[source]
 
    Generates Formal Power Series of f.
    
 
    
 
    Parameters:
    
@@ -1116,7 +1116,7 @@ 
    Formal Power Seriesfull=False,
    
 
    
 
-)[source]
+)[source]
 
    Computes the formula for Formal Power Series of a function.
    
 
    
 
    Parameters:
    
@@ -1186,7 +1186,7 @@ 
    Formal Power Series
 
    
-class sympy.series.formal.FormalPowerSeriesCompose(*args)[source]
    
+class sympy.series.formal.FormalPowerSeriesCompose(*args)[source]
 
    Represents the composed formal power series of two functions.
    
 
    Explanation
    
 
    No computation is performed. Terms are calculated using a term by term logic,
@@ -1211,7 +1211,7 @@ 
    Formal Power Series
 
    
-class sympy.series.formal.FormalPowerSeriesInverse(*args)[source]
    
+class sympy.series.formal.FormalPowerSeriesInverse(*args)[source]
 
    Represents the Inverse of a formal power series.
    
 
    Explanation
    
 
    No computation is performed. Terms are calculated using a term by term logic,
@@ -1234,7 +1234,7 @@ 
    Formal Power Series
 
    
-class sympy.series.formal.FormalPowerSeriesProduct(*args)[source]
    
+class sympy.series.formal.FormalPowerSeriesProduct(*args)[source]
 
    Represents the product of two formal power series of two functions.
    
 
    Explanation
    
 
    No computation is performed. Terms are calculated using a term by term logic,
@@ -1257,7 +1257,7 @@ 
    Formal Power Series
 
    
-class sympy.series.formal.FiniteFormalPowerSeries(*args)[source]
    
+class sympy.series.formal.FiniteFormalPowerSeries(*args)[source]
 
    Base Class for Product, Compose and Inverse classes
    
 
    
 
@@ -1265,7 +1265,7 @@ 
    Formal Power Series
    
 
    
 
    
-sympy.series.formal.rational_independent(terms, x)[source]
    
+sympy.series.formal.rational_independent(terms, x)[source]
 
    Returns a list of all the rationally independent terms.
    
 
    Examples
    
 
    >>> from sympy import sin, cos
@@ -1283,7 +1283,7 @@ 
    Rational Algorithm
 
    
-sympy.series.formal.rational_algorithm(f, x, k, order=4, full=False)[source]
    
+sympy.series.formal.rational_algorithm(f, x, k, order=4, full=False)[source]
 
    Rational algorithm for computing
 formula of coefficients of Formal Power Series
 of a function.
    
@@ -1359,7 +1359,7 @@ 
    Rational Algorithm
    
 
    
 
    
-sympy.series.formal.simpleDE(f, x, g, order=4)[source]
    
+sympy.series.formal.simpleDE(f, x, g, order=4)[source]
 
    Generates simple DE.
    
 
    Explanation
    
 
    DE is of the form
    
@@ -1375,7 +1375,7 @@ 
    Hypergeometric Algorithm
 
    
-sympy.series.formal.exp_re(DE, r, k)[source]
    
+sympy.series.formal.exp_re(DE, r, k)[source]
 
    Converts a DE with constant coefficients (explike) into a RE.
    
 
    Explanation
    
 
    Performs the substitution:
    
@@ -1405,7 +1405,7 @@ 
    Hypergeometric Algorithm
 
    
-sympy.series.formal.hyper_re(DE, r, k)[source]
    
+sympy.series.formal.hyper_re(DE, r, k)[source]
 
    Converts a DE into a RE.
    
 
    Explanation
    
 
    Performs the substitution:
    
@@ -1435,7 +1435,7 @@ 
    Hypergeometric Algorithm
 
    
-sympy.series.formal.rsolve_hypergeometric(f, x, P, Q, k, m)[source]
    
+sympy.series.formal.rsolve_hypergeometric(f, x, P, Q, k, m)[source]
 
    Solves RE of hypergeometric type.
    
 
    
 
    Returns:
    
@@ -1491,7 +1491,7 @@ 
    Hypergeometric Algorithm
 
    
-sympy.series.formal.solve_de(f, x, DE, order, g, k)[source]
    
+sympy.series.formal.solve_de(f, x, DE, order, g, k)[source]
 
    Solves the DE.
    
 
    
 
    Returns:
    
@@ -1527,7 +1527,7 @@ 
    Hypergeometric Algorithm
 
    
-sympy.series.formal.hyper_algorithm(f, x, k, order=4)[source]
    
+sympy.series.formal.hyper_algorithm(f, x, k, order=4)[source]
 
    Hypergeometric algorithm for computing Formal Power Series.
    
 
    Explanation
    
 
    
diff --git a/dev/modules/series/fourier.html b/dev/modules/series/fourier.html
index e267f5ae967..e7f096c73bc 100644
--- a/dev/modules/series/fourier.html
+++ b/dev/modules/series/fourier.html
@@ -803,7 +803,7 @@ 
    Fourier Series
 
    
-class sympy.series.fourier.FourierSeries(*args)[source]
    
+class sympy.series.fourier.FourierSeries(*args)[source]
 
    Represents Fourier sine/cosine series.
    
 
    Explanation
    
 
    This class only represents a fourier series.
@@ -816,7 +816,7 @@ 
    Fourier Series
 
    
-scale(s)[source]
    
+scale(s)[source]
 
    Scale the function by a term independent of x.
    
 
    Explanation
    
 
    f(x) -> s * f(x)
    
@@ -834,7 +834,7 @@ 
    Fourier Series
 
    
-scalex(s)[source]
    
+scalex(s)[source]
 
    Scale x by a term independent of x.
    
 
    Explanation
    
 
    f(x) -> f(s*x)
    
@@ -852,7 +852,7 @@ 
    Fourier Series
 
    
-shift(s)[source]
    
+shift(s)[source]
 
    Shift the function by a term independent of x.
    
 
    Explanation
    
 
    f(x) -> f(x) + s
    
@@ -870,7 +870,7 @@ 
    Fourier Series
 
    
-shiftx(s)[source]
    
+shiftx(s)[source]
 
    Shift x by a term independent of x.
    
 
    Explanation
    
 
    f(x) -> f(x + s)
    
@@ -888,7 +888,7 @@ 
    Fourier Series
 
    
-sigma_approximation(n=3)[source]
    
+sigma_approximation(n=3)[source]
 
    Return \(\sigma\)-approximation of Fourier series with respect
 to order n.
    
 
    
@@ -955,7 +955,7 @@ 
    Fourier Series
 
    
-truncate(n=3)[source]
    
+truncate(n=3)[source]
 
    Return the first n nonzero terms of the series.
    
 
    If n is None return an iterator.
    
 
    
@@ -990,7 +990,7 @@ 
    Fourier Series
 
    
-sympy.series.fourier.fourier_series(f, limits=None, finite=True)[source]
    
+sympy.series.fourier.fourier_series(f, limits=None, finite=True)[source]
 
    Computes the Fourier trigonometric series expansion.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/series/limitseq.html b/dev/modules/series/limitseq.html
index c9a71ba5fba..69b3701d236 100644
--- a/dev/modules/series/limitseq.html
+++ b/dev/modules/series/limitseq.html
@@ -803,7 +803,7 @@ 
    Limits of Sequences
 
    
-sympy.series.limitseq.difference_delta(expr, n=None, step=1)[source]
    
+sympy.series.limitseq.difference_delta(expr, n=None, step=1)[source]
 
    Difference Operator.
    
 
    Explanation
    
 
    Discrete analog of differential operator. Given a sequence x[n],
@@ -828,7 +828,7 @@ 
    Limits of Sequences
 
    
-sympy.series.limitseq.dominant(expr, n)[source]
    
+sympy.series.limitseq.dominant(expr, n)[source]
 
    Finds the dominant term in a sum, that is a term that dominates
 every other term.
    
 
    Explanation
    
@@ -854,7 +854,7 @@ 
    Limits of Sequences
 
    
-sympy.series.limitseq.limit_seq(expr, n=None, trials=5)[source]
    
+sympy.series.limitseq.limit_seq(expr, n=None, trials=5)[source]
 
    Finds the limit of a sequence as index n tends to infinity.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/series/sequences.html b/dev/modules/series/sequences.html
index ed9c984ca9a..bcfdd950b83 100644
--- a/dev/modules/series/sequences.html
+++ b/dev/modules/series/sequences.html
@@ -803,7 +803,7 @@ 
    Sequences
 
    
-sympy.series.sequences.sequence(seq, limits=None)[source]
    
+sympy.series.sequences.sequence(seq, limits=None)[source]
 
    Returns appropriate sequence object.
    
 
    Explanation
    
 
    If seq is a SymPy sequence, returns SeqPer object
@@ -827,17 +827,17 @@ 
    Sequences
    
 
    
 
    
-class sympy.series.sequences.SeqBase(*args)[source]
    
+class sympy.series.sequences.SeqBase(*args)[source]
 
    Base class for sequences
    
 
    
 
    
-coeff(pt)[source]
    
+coeff(pt)[source]
 
    Returns the coefficient at point pt
    
 
    
 
 
    
 
    
-coeff_mul(other)[source]
    
+coeff_mul(other)[source]
 
    Should be used when other is not a sequence. Should be
 defined to define custom behaviour.
    
 
    Examples
    
@@ -861,7 +861,7 @@ 
    Sequences Basegfvar=None,
    
 
    
 
-)[source]
+)[source]
 
    Finds the shortest linear recurrence that satisfies the first n
 terms of sequence of order \(\leq\) n/2 if possible.
 If d is specified, find shortest linear recurrence of order
@@ -951,7 +951,7 @@ 
    Sequences Base
    
 
    
 
    
-class sympy.series.sequences.SeqFormula(formula, limits=None)[source]
    
+class sympy.series.sequences.SeqFormula(formula, limits=None)[source]
 
    Represents sequence based on a formula.
    
 
    Elements are generated using a formula.
    
 
    Examples
    
@@ -988,7 +988,7 @@ 
    Elementary Sequences
 
    
 
    
-coeff_mul(coeff)[source]
    
+coeff_mul(coeff)[source]
 
    See docstring of SeqBase.coeff_mul
    
 
    
 
@@ -996,7 +996,7 @@ 
    Elementary Sequences
 
    
-class sympy.series.sequences.SeqPer(periodical, limits=None)[source]
    
+class sympy.series.sequences.SeqPer(periodical, limits=None)[source]
 
    Represents a periodic sequence.
    
 
    The elements are repeated after a given period.
    
 
    Examples
    
@@ -1042,7 +1042,7 @@ 
    Elementary Sequences
 
    
 
    
-coeff_mul(coeff)[source]
    
+coeff_mul(coeff)[source]
 
    See docstring of SeqBase.coeff_mul
    
 
    
 
@@ -1053,7 +1053,7 @@ 
    Elementary SequencesSingleton Sequences
    
 
    
 
    
-class sympy.series.sequences.EmptySequence[source]
    
+class sympy.series.sequences.EmptySequence[source]
 
    Represents an empty sequence.
    
 
    The empty sequence is also available as a singleton as
 S.EmptySequence.
    
@@ -1072,7 +1072,7 @@ 
    Singleton Sequences
 
    
-coeff_mul(coeff)[source]
    
+coeff_mul(coeff)[source]
 
    See docstring of SeqBase.coeff_mul
    
 
    
 
@@ -1083,7 +1083,7 @@ 
    Singleton Sequences
    
 
    
 
    
-class sympy.series.sequences.SeqAdd(*args, **kwargs)[source]
    
+class sympy.series.sequences.SeqAdd(*args, **kwargs)[source]
 
    Represents term-wise addition of sequences.
    
 
    
 
    Rules:
    
 
-)[source]
+)[source]
 
    A finite degree recursive sequence.
    
 
    
 
    Parameters:
    
diff --git a/dev/modules/series/series.html b/dev/modules/series/series.html
index 463dab77a8e..23121806744 100644
--- a/dev/modules/series/series.html
+++ b/dev/modules/series/series.html
@@ -805,7 +805,7 @@ 
    LimitsThe main purpose of this module is the computation of limits.
    
 
    
 
    
-sympy.series.limits.limit(e, z, z0, dir='+')[source]
    
+sympy.series.limits.limit(e, z, z0, dir='+')[source]
 
    Computes the limit of e(z) at the point z0.
    
 
    
 
    Parameters:
    
@@ -859,7 +859,7 @@ 
    Limits
 
    
-class sympy.series.limits.Limit(e, z, z0, dir='+')[source]
    
+class sympy.series.limits.Limit(e, z, z0, dir='+')[source]
 
    Represents an unevaluated limit.
    
 
    Examples
    
 
    >>> from sympy import Limit, sin
@@ -872,7 +872,7 @@ 
    Limits
 
    
 
    
-doit(**hints)[source]
    
+doit(**hints)[source]
 
    Evaluates the limit.
    
 
    
 
    Parameters:
    
@@ -968,7 +968,7 @@ 
    Notes
 
    Reference
    
 
    
 
    
-sympy.series.gruntz.gruntz(e, z, z0, dir='+')[source]
    
+sympy.series.gruntz.gruntz(e, z, z0, dir='+')[source]
 
    Compute the limit of e(z) at the point z0 using the Gruntz algorithm.
    
 
    Explanation
    
 
    z0 can be any expression, including oo and -oo.
    
@@ -982,13 +982,13 @@ 
    Reference
 
    
-sympy.series.gruntz.compare(a, b, x)[source]
    
+sympy.series.gruntz.compare(a, b, x)[source]
 
    Returns “<” if a<b, “=” for a == b, “>” for a>b
    
 
    
 
 
    
 
    
-sympy.series.gruntz.rewrite(e, Omega, x, wsym)[source]
    
+sympy.series.gruntz.rewrite(e, Omega, x, wsym)[source]
 
    e(x) … the function
 Omega … the mrv set
 wsym … the symbol which is going to be used for w
    
@@ -998,7 +998,7 @@ 
    Reference
 
    
-sympy.series.gruntz.build_expression_tree(Omega, rewrites)[source]
    
+sympy.series.gruntz.build_expression_tree(Omega, rewrites)[source]
 
    Helper function for rewrite.
    
 
    We need to sort Omega (mrv set) so that we replace an expression before
 we replace any expression in terms of which it has to be rewritten:
    
@@ -1014,26 +1014,26 @@ 
    Reference
 
    
-sympy.series.gruntz.mrv_leadterm(e, x)[source]
    
+sympy.series.gruntz.mrv_leadterm(e, x)[source]
 
    Returns (c0, e0) for e.
    
 
    
 
 
    
 
    
-sympy.series.gruntz.calculate_series(e, x, logx=None)[source]
    
+sympy.series.gruntz.calculate_series(e, x, logx=None)[source]
 
    Calculates at least one term of the series of e in x.
    
 
    This is a place that fails most often, so it is in its own function.
    
 
    
 
 
    
 
    
-sympy.series.gruntz.limitinf(e, x)[source]
    
+sympy.series.gruntz.limitinf(e, x)[source]
 
    Limit e(x) for x-> oo.
    
 
    
 
 
    
 
    
-sympy.series.gruntz.sign(e, x)[source]
    
+sympy.series.gruntz.sign(e, x)[source]
 
    Returns a sign of an expression e(x) for x->oo.
    
 
    e >  0 for x sufficiently large ...  1
 e == 0 for x sufficiently large ...  0
@@ -1049,14 +1049,14 @@ 
    Reference
 
    
-sympy.series.gruntz.mrv(e, x)[source]
    
+sympy.series.gruntz.mrv(e, x)[source]
 
    Returns a SubsSet of most rapidly varying (mrv) subexpressions of ‘e’,
 and e rewritten in terms of these
    
 
    
 
 
    
 
    
-sympy.series.gruntz.mrv_max1(f, g, exps, x)[source]
    
+sympy.series.gruntz.mrv_max1(f, g, exps, x)[source]
 
    Computes the maximum of two sets of expressions f and g, which
 are in the same comparability class, i.e. mrv_max1() compares (two elements of)
 f and g and returns the set, which is in the higher comparability class
@@ -1066,7 +1066,7 @@ 
    Reference
 
    
-sympy.series.gruntz.mrv_max3(f, expsf, g, expsg, union, expsboth, x)[source]
    
+sympy.series.gruntz.mrv_max3(f, expsf, g, expsg, union, expsboth, x)[source]
 
    Computes the maximum of two sets of expressions f and g, which
 are in the same comparability class, i.e. max() compares (two elements of)
 f and g and returns either (f, expsf) [if f is larger], (g, expsg)
@@ -1075,7 +1075,7 @@ 
    Reference
 
    
-class sympy.series.gruntz.SubsSet[source]
    
+class sympy.series.gruntz.SubsSet[source]
 
    Stores (expr, dummy) pairs, and how to rewrite expr-s.
    
 
    Explanation
    
 
    The gruntz algorithm needs to rewrite certain expressions in term of a new
@@ -1119,25 +1119,25 @@ 
    Reference
 
    
-copy()[source]
    
+copy()[source]
 
    Create a shallow copy of SubsSet
    
 
    
 
 
    
 
    
-do_subs(e)[source]
    
+do_subs(e)[source]
 
    Substitute the variables with expressions
    
 
    
 
 
    
 
    
-meets(s2)[source]
    
+meets(s2)[source]
 
    Tell whether or not self and s2 have non-empty intersection
    
 
    
 
 
    
 
    
-union(s2, exps=None)[source]
    
+union(s2, exps=None)[source]
 
    Compute the union of self and s2, adjusting exps
    
 
    
 
@@ -1164,7 +1164,7 @@ 
    Examples
 
    Reference
    
 
    
 
    
-sympy.series.series.series(expr, x=None, x0=0, n=6, dir='+')[source]
    
+sympy.series.series.series(expr, x=None, x0=0, n=6, dir='+')[source]
 
    Series expansion of expr around point \(x = x0\).
    
 
    
 
    Parameters:
    
@@ -1253,7 +1253,7 @@ 
    ExamplesReference
    
 
    
 
    
-class sympy.series.order.Order(expr, *args, **kwargs)[source]
    
+class sympy.series.order.Order(expr, *args, **kwargs)[source]
 
    Represents the limiting behavior of some function.
    
 
    Explanation
    
 
    The order of a function characterizes the function based on the limiting
@@ -1361,7 +1361,7 @@ 
    Reference
 
    
 
    
-contains(expr)[source]
    
+contains(expr)[source]
 
    Return True if expr belongs to Order(self.expr, *self.variables).
 Return False if self belongs to expr.
 Return None if the inclusion relation cannot be determined
@@ -1379,7 +1379,7 @@ 
    Series Acceleration
    
 
    
 
    
-sympy.series.acceleration.richardson(A, k, n, N)[source]
    
+sympy.series.acceleration.richardson(A, k, n, N)[source]
 
    Calculate an approximation for lim k->oo A(k) using Richardson
 extrapolation with the terms A(n), A(n+1), …, A(n+N+1).
 Choosing N ~= 2*n often gives good results.
    
@@ -1425,7 +1425,7 @@ 
    Reference
 
    
-sympy.series.acceleration.shanks(A, k, n, m=1)[source]
    
+sympy.series.acceleration.shanks(A, k, n, m=1)[source]
 
    Calculate an approximation for lim k->oo A(k) using the n-term Shanks
 transformation S(A)(n). With m > 1, calculate the m-fold recursive
 Shanks transformation S(S(…S(A)…))(n).
    
@@ -1455,7 +1455,7 @@ 
    Residues
 
    Reference
    
 
    
 
    
-sympy.series.residues.residue(expr, x, x0)[source]
    
+sympy.series.residues.residue(expr, x, x0)[source]
 
    Finds the residue of expr at the point x=x0.
    
 
    The residue is defined as the coefficient of 1/(x-x0) in the power series
 expansion about x=x0.
    
diff --git a/dev/modules/sets.html b/dev/modules/sets.html
index a7f2fbc3ecf..ca3fc8b05fa 100644
--- a/dev/modules/sets.html
+++ b/dev/modules/sets.html
@@ -804,7 +804,7 @@ 
    Documentation Version
    
 
    Basic Sets
    
 
    
 
    
-class sympy.sets.sets.Set(*args)[source]
    
+class sympy.sets.sets.Set(*args)[source]
 
    The base class for any kind of set.
    
 
    Explanation
    
 
    This is not meant to be used directly as a container of items. It does not
@@ -857,7 +857,7 @@ 
    Documentation Version
    
 
 
    
 
    
-complement(universe)[source]
    
+complement(universe)[source]
 
    The complement of ‘self’ w.r.t the given universe.
    
 
    Examples
    
 
    >>> from sympy import Interval, S
@@ -873,7 +873,7 @@ 
    Documentation Version
    
 
 
    
 
    
-contains(other)[source]
    
+contains(other)[source]
 
    Returns a SymPy value indicating whether other is contained
 in self: true if it is, false if it is not, else
 an unevaluated Contains expression (or, as in the case of
@@ -940,7 +940,7 @@ 
    Documentation Version
    
 
 
    
 
    
-intersect(other)[source]
    
+intersect(other)[source]
 
    Returns the intersection of ‘self’ and ‘other’.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -961,7 +961,7 @@ 
    Documentation Version
    
 
 
    
 
    
-intersection(other)[source]
    
+intersection(other)[source]
 
    Alias for intersect()
    
 
    
 
@@ -983,7 +983,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_disjoint(other)[source]
    
+is_disjoint(other)[source]
 
    Returns True if self and other are disjoint.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -1023,7 +1023,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_proper_subset(other)[source]
    
+is_proper_subset(other)[source]
 
    Returns True if self is a proper subset of other.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -1037,7 +1037,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_proper_superset(other)[source]
    
+is_proper_superset(other)[source]
 
    Returns True if self is a proper superset of other.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -1051,7 +1051,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_subset(other)[source]
    
+is_subset(other)[source]
 
    Returns True if self is a subset of other.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -1065,7 +1065,7 @@ 
    Documentation Version
    
 
 
    
 
    
-is_superset(other)[source]
    
+is_superset(other)[source]
 
    Returns True if self is a superset of other.
    
 
    Examples
    
 
    >>> from sympy import Interval
@@ -1079,19 +1079,19 @@ 
    Documentation Version
    
 
 
    
 
    
-isdisjoint(other)[source]
    
+isdisjoint(other)[source]
 
    Alias for is_disjoint()
    
 
    
 
 
    
 
    
-issubset(other)[source]
    
+issubset(other)[source]
 
    Alias for is_subset()
    
 
    
 
 
    
 
    
-issuperset(other)[source]
    
+issuperset(other)[source]
 
    Alias for is_superset()
    
 
    
 
@@ -1171,7 +1171,7 @@ 
    Documentation Version
    
 
 
    
 
    
-powerset()[source]
    
+powerset()[source]
 
    Find the Power set of self.
    
 
    Examples
    
 
    >>> from sympy import EmptySet, FiniteSet, Interval
@@ -1220,7 +1220,7 @@ 
    Documentation Version
    
 
 
    
 
    
-symmetric_difference(other)[source]
    
+symmetric_difference(other)[source]
 
    Returns symmetric difference of self and other.
    
 
    Examples
    
 
    >>> from sympy import Interval, S
@@ -1246,7 +1246,7 @@ 
    Documentation Version
    
 
 
    
 
    
-union(other)[source]
    
+union(other)[source]
 
    Returns the union of self and other.
    
 
    Examples
    
 
    As a shortcut it is possible to use the + operator:
    
@@ -1272,7 +1272,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.sets.sets.imageset(*args)[source]
    
+sympy.sets.sets.imageset(*args)[source]
 
    Return an image of the set under transformation f.
    
 
    Explanation
    
 
    If this function cannot compute the image, it returns an
@@ -1332,7 +1332,7 @@ 
    Elementary Setsright_open=False,
    
 
    
 
-)[source]
+)[source]
 
    Represents a real interval as a Set.
    
 
    
 
    Usage:
    Returns an interval with end points start and end.
    
@@ -1376,19 +1376,19 @@ 
    Elementary Sets
 
    
-classmethod Lopen(a, b)[source]
    
+classmethod Lopen(a, b)[source]
 
    Return an interval not including the left boundary.
    
 
    
 
 
    
 
    
-classmethod Ropen(a, b)[source]
    
+classmethod Ropen(a, b)[source]
 
    Return an interval not including the right boundary.
    
 
    
 
 
    
 
    
-as_relational(x)[source]
    
+as_relational(x)[source]
 
    Rewrite an interval in terms of inequalities and logic operators.
    
 
    
 
@@ -1433,7 +1433,7 @@ 
    Elementary Sets
 
    
-classmethod open(a, b)[source]
    
+classmethod open(a, b)[source]
 
    Return an interval including neither boundary.
    
 
    
 
@@ -1468,7 +1468,7 @@ 
    Elementary Sets
 
    
-class sympy.sets.sets.FiniteSet(*args, **kwargs)[source]
    
+class sympy.sets.sets.FiniteSet(*args, **kwargs)[source]
 
    Represents a finite set of Sympy expressions.
    
 
    Examples
    
 
    >>> from sympy import FiniteSet, Symbol, Interval, Naturals0
@@ -1499,7 +1499,7 @@ 
    Elementary Sets
 
    
-as_relational(symbol)[source]
    
+as_relational(symbol)[source]
 
    Rewrite a FiniteSet in terms of equalities and logic operators.
    
 
    
 
@@ -1510,7 +1510,7 @@ 
    Elementary Sets
    
 
    
 
    
-class sympy.sets.sets.Union(*args, **kwargs)[source]
    
+class sympy.sets.sets.Union(*args, **kwargs)[source]
 
    Represents a union of sets as a Set.
    
 
    Examples
    
 
    >>> from sympy import Union, Interval
@@ -1537,7 +1537,7 @@ 
    Compound Sets
 
    
-as_relational(symbol)[source]
    
+as_relational(symbol)[source]
 
    Rewrite a Union in terms of equalities and logic operators.
    
 
    
 
@@ -1545,7 +1545,7 @@ 
    Compound Sets
 
    
-class sympy.sets.sets.Intersection(*args, evaluate=None)[source]
    
+class sympy.sets.sets.Intersection(*args, evaluate=None)[source]
 
    Represents an intersection of sets as a Set.
    
 
    Examples
    
 
    >>> from sympy import Intersection, Interval
@@ -1571,7 +1571,7 @@ 
    Compound Sets
 
    
-as_relational(symbol)[source]
    
+as_relational(symbol)[source]
 
    Rewrite an Intersection in terms of equalities and logic operators
    
 
    
 
@@ -1579,7 +1579,7 @@ 
    Compound Sets
 
    
-class sympy.sets.sets.ProductSet(*sets, **assumptions)[source]
    
+class sympy.sets.sets.ProductSet(*sets, **assumptions)[source]
 
    Represents a Cartesian Product of Sets.
    
 
    Explanation
    
 
    Returns a Cartesian product given several sets as either an iterable
@@ -1644,7 +1644,7 @@ 
    Compound Sets
 
    
-class sympy.sets.sets.Complement(a, b, evaluate=True)[source]
    
+class sympy.sets.sets.Complement(a, b, evaluate=True)[source]
 
    Represents the set difference or relative complement of a set with
 another set.
    
 
    
@@ -1671,14 +1671,14 @@ 
    Compound Sets
 
    
-as_relational(symbol)[source]
    
+as_relational(symbol)[source]
 
    Rewrite a complement in terms of equalities and logic
 operators
    
 
    
 
 
    
 
    
-static reduce(A, B)[source]
    
+static reduce(A, B)[source]
 
    Simplify a Complement.
    
 
    
 
@@ -1686,7 +1686,7 @@ 
    Compound Sets
 
    
-class sympy.sets.sets.SymmetricDifference(a, b, evaluate=True)[source]
    
+class sympy.sets.sets.SymmetricDifference(a, b, evaluate=True)[source]
 
    Represents the set of elements which are in either of the
 sets and not in their intersection.
    
 
    Examples
    
@@ -1708,7 +1708,7 @@ 
    Compound Sets
 
    
-as_relational(symbol)[source]
    
+as_relational(symbol)[source]
 
    Rewrite a symmetric_difference in terms of equalities and
 logic operators
    
 
    
@@ -1717,7 +1717,7 @@ 
    Compound Sets
 
    
-class sympy.sets.sets.DisjointUnion(*sets)[source]
    
+class sympy.sets.sets.DisjointUnion(*sets)[source]
 
    Represents the disjoint union (also known as the external disjoint union)
 of a finite number of sets.
    
 
    Examples
    
@@ -1744,7 +1744,7 @@ 
    Compound Sets
    
 
    
 
    
-class sympy.sets.sets.EmptySet[source]
    
+class sympy.sets.sets.EmptySet[source]
 
    Represents the empty set. The empty set is available as a singleton
 as S.EmptySet.
    
 
    Examples
    
@@ -1772,7 +1772,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.sets.UniversalSet[source]
    
+class sympy.sets.sets.UniversalSet[source]
 
    Represents the set of all things.
 The universal set is available as a singleton as S.UniversalSet.
    
 
    Examples
    
@@ -1803,7 +1803,7 @@ 
    Singleton Sets
    Special Sets
    
 
    
 
    
-class sympy.sets.fancysets.Rationals[source]
    
+class sympy.sets.fancysets.Rationals[source]
 
    Represents the rational numbers. This set is also available as
 the singleton S.Rationals.
    
 
    Examples
    
@@ -1819,7 +1819,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Naturals[source]
    
+class sympy.sets.fancysets.Naturals[source]
 
    Represents the natural numbers (or counting numbers) which are all
 positive integers starting from 1. This set is also available as
 the singleton S.Naturals.
    
@@ -1851,7 +1851,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Naturals0[source]
    
+class sympy.sets.fancysets.Naturals0[source]
 
    Represents the whole numbers which are all the non-negative integers,
 inclusive of zero.
    
 
    
@@ -1867,7 +1867,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Integers[source]
    
+class sympy.sets.fancysets.Integers[source]
 
    Represents all integers: positive, negative and zero. This set is also
 available as the singleton S.Integers.
    
 
    Examples
    
@@ -1902,7 +1902,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Reals[source]
    
+class sympy.sets.fancysets.Reals[source]
 
    Represents all real numbers
 from negative infinity to positive infinity,
 including all integer, rational and irrational numbers.
@@ -1929,7 +1929,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Complexes[source]
    
+class sympy.sets.fancysets.Complexes[source]
 
    The Set of all complex numbers
    
 
    Examples
    
 
    >>> from sympy import S, I
@@ -1947,7 +1947,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.ImageSet(flambda, *sets)[source]
    
+class sympy.sets.fancysets.ImageSet(flambda, *sets)[source]
 
    Image of a set under a mathematical function. The transformation
 must be given as a Lambda function which has as many arguments
 as the elements of the set upon which it operates, e.g. 1 argument
@@ -2005,7 +2005,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.Range(*args)[source]
    
+class sympy.sets.fancysets.Range(*args)[source]
 
    Represents a range of integers. Can be called as Range(stop),
 Range(start, stop), or Range(start, stop, step); when step is
 not given it defaults to 1.
    
@@ -2087,7 +2087,7 @@ 
    Singleton Sets
 
    
-as_relational(x)[source]
    
+as_relational(x)[source]
 
    Rewrite a Range in terms of equalities and logic operators.
    
 
    
 
@@ -2107,7 +2107,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.ComplexRegion(sets, polar=False)[source]
    
+class sympy.sets.fancysets.ComplexRegion(sets, polar=False)[source]
 
    Represents the Set of all Complex Numbers. It can represent a
 region of Complex Plane in both the standard forms Polar and
 Rectangular coordinates.
    
@@ -2235,7 +2235,7 @@ 
    Singleton Sets
 
    
-classmethod from_real(sets)[source]
    
+classmethod from_real(sets)[source]
 
    Converts given subset of real numbers to a complex region.
    
 
    Examples
    
 
    >>> from sympy import Interval, ComplexRegion
@@ -2288,7 +2288,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.CartesianComplexRegion(sets)[source]
    
+class sympy.sets.fancysets.CartesianComplexRegion(sets)[source]
 
    Set representing a square region of the complex plane.
    
 
    
 
    
@@ -2311,7 +2311,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.fancysets.PolarComplexRegion(sets)[source]
    
+class sympy.sets.fancysets.PolarComplexRegion(sets)[source]
 
    Set representing a polar region of the complex plane.
    
 
    
 
    
@@ -2336,7 +2336,7 @@ 
    Singleton Sets
 
    
-sympy.sets.fancysets.normalize_theta_set(theta)[source]
    
+sympy.sets.fancysets.normalize_theta_set(theta)[source]
 
    Normalize a Real Set \(theta\) in the interval \([0, 2\pi)\). It returns
 a normalized value of theta in the Set. For Interval, a maximum of
 one cycle \([0, 2\pi]\), is returned i.e. for theta equal to \([0, 10\pi]\),
@@ -2383,7 +2383,7 @@ 
    Singleton Sets
    Power sets
    
 
    
 
    
-class sympy.sets.powerset.PowerSet(arg, evaluate=None)[source]
    
+class sympy.sets.powerset.PowerSet(arg, evaluate=None)[source]
 
    A symbolic object representing a power set.
    
 
    
 
    Parameters:
    
@@ -2457,7 +2457,7 @@ 
    Singleton Setsbase_set=UniversalSet,
    
 
    
 
-)[source]
+)[source]
 
    Set of elements which satisfies a given condition.
    
 
    
 
    
@@ -2527,7 +2527,7 @@ 
    Singleton Sets
 
    
-class sympy.sets.conditionset.Contains(x, s, evaluate=None)[source]
    
+class sympy.sets.conditionset.Contains(x, s, evaluate=None)[source]
 
    Asserts that x is an element of the set S.
    
 
    Examples
    
 
    >>> from sympy import Symbol, Integer, S, Contains
@@ -2554,7 +2554,7 @@ 
    Singleton Sets
    
 
    
 
    
-class sympy.sets.conditionset.SetKind(element_kind=None)[source]
    
+class sympy.sets.conditionset.SetKind(element_kind=None)[source]
 
    SetKind is kind for all Sets
    
 
    Every instance of Set will have kind SetKind parametrised by the kind
 of the elements of the Set. The kind of the elements might be
diff --git a/dev/modules/simplify/fu.html b/dev/modules/simplify/fu.html
index 578520368b0..09d10579e26 100644
--- a/dev/modules/simplify/fu.html
+++ b/dev/modules/simplify/fu.html
@@ -969,14 +969,14 @@ 
    Documentation Version
    
 
    Rules
    
 
    
 
    
-sympy.simplify.fu.TR0(rv)[source]
    
+sympy.simplify.fu.TR0(rv)[source]
 
    Simplification of rational polynomials, trying to simplify
 the expression, e.g. combine things like 3*x + 2*x, etc….
    
 
    
 
 
    
 
    
-sympy.simplify.fu.TR1(rv)[source]
    
+sympy.simplify.fu.TR1(rv)[source]
 
    Replace sec, csc with 1/cos, 1/sin
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR1, sec, csc
@@ -989,7 +989,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR2(rv)[source]
    
+sympy.simplify.fu.TR2(rv)[source]
 
    Replace tan and cot with sin/cos and cos/sin
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR2
@@ -1007,7 +1007,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR2i(rv, half=False)[source]
    
+sympy.simplify.fu.TR2i(rv, half=False)[source]
 
    
 
    Converts ratios involving sin and cos as follows::
    sin(x)/cos(x) -> tan(x)
 sin(x)/(cos(x) + 1) -> tan(x/2) if half=True
    
@@ -1037,7 +1037,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR3(rv)[source]
    
+sympy.simplify.fu.TR3(rv)[source]
 
    Induced formula: example sin(-a) = -sin(a)
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR3
@@ -1056,7 +1056,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR4(rv)[source]
    
+sympy.simplify.fu.TR4(rv)[source]
 
    Identify values of special angles.
    
 
    A=  0   Pi/6        Pi/4        Pi/3        Pi/2
    
 
    sin(a)  0   1/2         sqrt(2)/2   sqrt(3)/2   1
@@ -1079,7 +1079,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR5(rv, max=4, pow=False)[source]
    
+sympy.simplify.fu.TR5(rv, max=4, pow=False)[source]
 
    Replacement of sin**2 with 1 - cos(x)**2.
    
 
    See _TR56 docstring for advanced use of max and pow.
    
 
    Examples
    
@@ -1098,7 +1098,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR6(rv, max=4, pow=False)[source]
    
+sympy.simplify.fu.TR6(rv, max=4, pow=False)[source]
 
    Replacement of cos**2 with 1 - sin(x)**2.
    
 
    See _TR56 docstring for advanced use of max and pow.
    
 
    Examples
    
@@ -1117,7 +1117,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR7(rv)[source]
    
+sympy.simplify.fu.TR7(rv)[source]
 
    Lowering the degree of cos(x)**2.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR7
@@ -1133,7 +1133,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR8(rv, first=True)[source]
    
+sympy.simplify.fu.TR8(rv, first=True)[source]
 
    Converting products of cos and/or sin to a sum or
 difference of cos and or sin terms.
    
 
    Examples
    
@@ -1151,7 +1151,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR9(rv)[source]
    
+sympy.simplify.fu.TR9(rv)[source]
 
    Sum of cos or sin terms as a product of cos or sin.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR9
@@ -1174,7 +1174,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR10(rv, first=True)[source]
    
+sympy.simplify.fu.TR10(rv, first=True)[source]
 
    Separate sums in cos and sin.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR10
@@ -1192,7 +1192,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR10i(rv)[source]
    
+sympy.simplify.fu.TR10i(rv)[source]
 
    Sum of products to function of sum.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR10i
@@ -1212,7 +1212,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR11(rv, base=None)[source]
    
+sympy.simplify.fu.TR11(rv, base=None)[source]
 
    Function of double angle to product. The base argument can be used
 to indicate what is the un-doubled argument, e.g. if 3*pi/7 is the base
 then cosine and sine functions with argument 6*pi/7 will be replaced.
    
@@ -1254,7 +1254,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR12(rv, first=True)[source]
    
+sympy.simplify.fu.TR12(rv, first=True)[source]
 
    Separate sums in tan.
    
 
    Examples
    
 
    >>> from sympy.abc import x, y
@@ -1268,7 +1268,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR12i(rv)[source]
    
+sympy.simplify.fu.TR12i(rv)[source]
 
    Combine tan arguments as
 (tan(y) + tan(x))/(tan(x)*tan(y) - 1) -> -tan(x + y).
    
 
    Examples
    
@@ -1291,7 +1291,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR13(rv)[source]
    
+sympy.simplify.fu.TR13(rv)[source]
 
    Change products of tan or cot.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TR13
@@ -1306,7 +1306,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TRmorrie(rv)[source]
    
+sympy.simplify.fu.TRmorrie(rv)[source]
 
    Returns cos(x)*cos(2*x)*…*cos(2**(k-1)*x) -> sin(2**k*x)/(2**k*sin(x))
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TRmorrie, TR8, TR3
@@ -1367,7 +1367,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR14(rv, first=True)[source]
    
+sympy.simplify.fu.TR14(rv, first=True)[source]
 
    Convert factored powers of sin and cos identities into simpler
 expressions.
    
 
    Examples
    
@@ -1389,7 +1389,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR15(rv, max=4, pow=False)[source]
    
+sympy.simplify.fu.TR15(rv, max=4, pow=False)[source]
 
    Convert sin(x)**-2 to 1 + cot(x)**2.
    
 
    See _TR56 docstring for advanced use of max and pow.
    
 
    Examples
    
@@ -1404,7 +1404,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR16(rv, max=4, pow=False)[source]
    
+sympy.simplify.fu.TR16(rv, max=4, pow=False)[source]
 
    Convert cos(x)**-2 to 1 + tan(x)**2.
    
 
    See _TR56 docstring for advanced use of max and pow.
    
 
    Examples
    
@@ -1419,7 +1419,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR111(rv)[source]
    
+sympy.simplify.fu.TR111(rv)[source]
 
    Convert f(x)**-i to g(x)**i where either i is an integer
 or the base is positive and f, g are: tan, cot; sin, csc; or cos, sec.
    
 
    Examples
    
@@ -1434,7 +1434,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TR22(rv, max=4, pow=False)[source]
    
+sympy.simplify.fu.TR22(rv, max=4, pow=False)[source]
 
    Convert tan(x)**2 to sec(x)**2 - 1 and cot(x)**2 to csc(x)**2 - 1.
    
 
    See _TR56 docstring for advanced use of max and pow.
    
 
    Examples
    
@@ -1451,7 +1451,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.TRpower(rv)[source]
    
+sympy.simplify.fu.TRpower(rv)[source]
 
    Convert sin(x)**n and cos(x)**n with positive n to sums.
    
 
    Examples
    
 
    >>> from sympy.simplify.fu import TRpower
@@ -1474,7 +1474,7 @@ 
    Rules
 
 
    
 
    
-sympy.simplify.fu.fu(rv, measure=<function <lambda>>)[source]
    
+sympy.simplify.fu.fu(rv, measure=<function <lambda>>)[source]
 
    Attempt to simplify expression by using transformation rules given
 in the algorithm by Fu et al.
    
 
    fu() will try to minimize the objective function measure.
diff --git a/dev/modules/simplify/simplify.html b/dev/modules/simplify/simplify.html
index 47a92d6f468..5ac125128f2 100644
--- a/dev/modules/simplify/simplify.html
+++ b/dev/modules/simplify/simplify.html
@@ -814,7 +814,7 @@ 
    Documentation Version
    
 
    **kwargs,
    
 
    
 
-)[source]
+)[source]
 
    Simplifies the given expression.
    
 
    Explanation
    
 
    Simplification is not a well defined term and the exact strategies
@@ -971,7 +971,7 @@ 
    Documentation Version
    
 
    force=False,
    
 
    
 
-)[source]
+)[source]
 
    Separates variables in an expression, if possible.  By
 default, it separates with respect to all symbols in an
 expression and collects constant coefficients that are
@@ -1031,7 +1031,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.nthroot(expr, n, max_len=4, prec=15)[source]
    
+sympy.simplify.simplify.nthroot(expr, n, max_len=4, prec=15)[source]
 
    Compute a real nth-root of a sum of surds.
    
 
    
 
    Parameters:
    
@@ -1055,7 +1055,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.kroneckersimp(expr)[source]
    
+sympy.simplify.simplify.kroneckersimp(expr)[source]
 
    Simplify expressions with KroneckerDelta.
    
 
    The only simplification currently attempted is to identify multiplicative cancellation:
    
 
    Examples
    
@@ -1069,7 +1069,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.besselsimp(expr)[source]
    
+sympy.simplify.simplify.besselsimp(expr)[source]
 
    Simplify bessel-type functions.
    
 
    Explanation
    
 
    This routine tries to simplify bessel-type functions. Currently it only
@@ -1096,7 +1096,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.hypersimp(f, k)[source]
    
+sympy.simplify.simplify.hypersimp(f, k)[source]
 
    Given combinatorial term f(k) simplify its consecutive term ratio
 i.e. f(k+1)/f(k).  The input term can be composed of functions and
 integer sequences which have equivalent representation in terms
@@ -1124,7 +1124,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.hypersimilar(f, g, k)[source]
    
+sympy.simplify.simplify.hypersimilar(f, g, k)[source]
 
    Returns True if f and g are hyper-similar.
    
 
    Explanation
    
 
    Similarity in hypergeometric sense means that a quotient of
@@ -1146,7 +1146,7 @@ 
    Documentation Version
    
 
    rational_conversion='base10',
    
 
    
 
-)[source]
+)[source]
 
    Find a simple representation for a number or, if there are free symbols or
 if rational=True, then replace Floats with their Rational equivalents. If
 no change is made and rational is not False then Floats will at least be
@@ -1192,7 +1192,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.posify(eq)[source]
    
+sympy.simplify.simplify.posify(eq)[source]
 
    Return eq (with generic symbols made positive) and a
 dictionary containing the mapping between the old and new
 symbols.
    
@@ -1234,7 +1234,7 @@ 
    Documentation Version
    
 
 
    
 
    
-sympy.simplify.simplify.logcombine(expr, force=False)[source]
    
+sympy.simplify.simplify.logcombine(expr, force=False)[source]
 
    Takes logarithms and combines them using the following rules:
    
 
      
 
    • log(x) + log(y) == log(x*y) if both are positive
      • 
@@ -1281,7 +1281,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.radsimp(expr, symbolic=True, max_terms=4)[source]
      
+sympy.simplify.radsimp.radsimp(expr, symbolic=True, max_terms=4)[source]
 
      Rationalize the denominator by removing square roots.
      
 
      Explanation
      
 
      The expression returned from radsimp must be used with caution
@@ -1355,7 +1355,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.rad_rationalize(num, den)[source]
      
+sympy.simplify.radsimp.rad_rationalize(num, den)[source]
 
      Rationalize num/den by removing square roots in the denominator;
 num and den are sum of terms whose squares are positive rationals.
      
 
      Examples
      
@@ -1380,7 +1380,7 @@ 
      Documentation Version
      
 
      distribute_order_term=True,
      
 
      
 
-)[source]
+)[source]
 
      Collect additive terms of an expression.
      
 
      Explanation
      
 
      This function collects additive terms of an expression with respect
@@ -1527,7 +1527,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.rcollect(expr, *vars)[source]
      
+sympy.simplify.radsimp.rcollect(expr, *vars)[source]
 
      Recursively collect sums in an expression.
      
 
      Examples
      
 
      >>> from sympy.simplify import rcollect
@@ -1549,7 +1549,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.collect_sqrt(expr, evaluate=None)[source]
      
+sympy.simplify.radsimp.collect_sqrt(expr, evaluate=None)[source]
 
      Return expr with terms having common square roots collected together.
 If evaluate is False a count indicating the number of sqrt-containing
 terms will be returned and, if non-zero, the terms of the Add will be
@@ -1591,7 +1591,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.collect_const(expr, *vars, Numbers=True)[source]
      
+sympy.simplify.radsimp.collect_const(expr, *vars, Numbers=True)[source]
 
      A non-greedy collection of terms with similar number coefficients in
 an Add expr. If vars is given then only those constants will be
 targeted. Although any Number can also be targeted, if this is not
@@ -1658,7 +1658,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.radsimp.fraction(expr, exact=False)[source]
      
+sympy.simplify.radsimp.fraction(expr, exact=False)[source]
 
      Returns a pair with expression’s numerator and denominator.
 If the given expression is not a fraction then this function
 will return the tuple (expr, 1).
      
@@ -1721,7 +1721,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.ratsimp.ratsimp(expr)[source]
      
+sympy.simplify.ratsimp.ratsimp(expr)[source]
 
      Put an expression over a common denominator, cancel and reduce.
      
 
      Examples
      
 
      >>> from sympy import ratsimp
@@ -1745,7 +1745,7 @@ 
      Documentation Version
      
 
      **args,
      
 
      
 
-)[source]
+)[source]
 
      Simplifies a rational expression expr modulo the prime ideal
 generated by G.  G should be a Groebner basis of the
 ideal.
      
@@ -1776,7 +1776,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.trigsimp.trigsimp(expr, inverse=False, **opts)[source]
      
+sympy.simplify.trigsimp.trigsimp(expr, inverse=False, **opts)[source]
 
      Returns a reduced expression by using known trig identities.
      
 
      
 
      Parameters:
      
@@ -1854,7 +1854,7 @@ 
      Documentation Version
      
 
      measure=<function count_ops>,
      
 
      
 
-)[source]
+)[source]
 
      Reduce expression by combining powers with similar bases and exponents.
      
 
      Explanation
      
 
      If deep is True then powsimp() will also simplify arguments of
@@ -1934,7 +1934,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.powsimp.powdenest(eq, force=False, polar=False)[source]
      
+sympy.simplify.powsimp.powdenest(eq, force=False, polar=False)[source]
 
      Collect exponents on powers as assumptions allow.
      
 
      Explanation
      
 
      
@@ -2028,7 +2028,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.combsimp.combsimp(expr)[source]
      
+sympy.simplify.combsimp.combsimp(expr)[source]
 
      Simplify combinatorial expressions.
      
 
      Explanation
      
 
      This function takes as input an expression containing factorials,
@@ -2060,7 +2060,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.sqrtdenest.sqrtdenest(expr, max_iter=3)[source]
      
+sympy.simplify.sqrtdenest.sqrtdenest(expr, max_iter=3)[source]
 
      Denests sqrts in an expression that contain other square roots
 if possible, otherwise returns the expr unchanged. This is based on the
 algorithms of [1].
      
@@ -2103,7 +2103,7 @@ 
      Documentation Version
      
 
      list=True,
      
 
      
 
-)[source]
+)[source]
 
      Perform common subexpression elimination on an expression.
      
 
      
 
      Parameters:
      
@@ -2199,7 +2199,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.simplify.cse_main.opt_cse(exprs, order='canonical')[source]
      
+sympy.simplify.cse_main.opt_cse(exprs, order='canonical')[source]
 
      Find optimization opportunities in Adds, Muls, Pows and negative
 coefficient Muls.
      
 
      
@@ -2244,7 +2244,7 @@ 
      Documentation Version
      
 
      ignore=(),
      
 
      
 
-)[source]
+)[source]
 
      Perform raw CSE on expression tree, taking opt_subs into account.
      
 
      
 
      Parameters:
      
@@ -2285,7 +2285,7 @@ 
      Documentation Version
      
 
      place=None,
      
 
      
 
-)[source]
+)[source]
 
      Expand hypergeometric functions. If allow_hyper is True, allow partial
 simplification (that is a result different from input,
 but still containing hypergeometric functions).
      
@@ -2310,7 +2310,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.simplify.epathtools.EPath(path)[source]
      
+class sympy.simplify.epathtools.EPath(path)[source]
 
      Manipulate expressions using paths.
      
 
      EPath grammar in EBNF notation:
      
 
      literal   ::= /[A-Za-z_][A-Za-z_0-9]*/
@@ -2328,7 +2328,7 @@ 
      Documentation Version
      
 
      See the docstring of the epath() function.
      
 
      
 
      
-apply(expr, func, args=None, kwargs=None)[source]
      
+apply(expr, func, args=None, kwargs=None)[source]
 
      Modify parts of an expression selected by a path.
      
 
      Examples
      
 
      >>> from sympy.simplify.epathtools import EPath
@@ -2356,7 +2356,7 @@ 
      Documentation Version
      
 
 
      
 
      
-select(expr)[source]
      
+select(expr)[source]
 
      Retrieve parts of an expression selected by a path.
      
 
      Examples
      
 
      >>> from sympy.simplify.epathtools import EPath
@@ -2396,7 +2396,7 @@ 
      Documentation Version
      
 
      kwargs=None,
      
 
      
 
-)[source]
+)[source]
 
      Manipulate parts of an expression selected by a path.
      
 
      
 
      Parameters:
      
diff --git a/dev/modules/solvers/diophantine.html b/dev/modules/solvers/diophantine.html
index 7909d19e229..085a001ad3e 100644
--- a/dev/modules/solvers/diophantine.html
+++ b/dev/modules/solvers/diophantine.html
@@ -1132,7 +1132,7 @@ 
      User Functionsfrom sympy import *:
      
 
      
 
      
-sympy.solvers.diophantine.diophantine.diophantine(eq, param=t, syms=None, permute=False)[source]
      
+sympy.solvers.diophantine.diophantine.diophantine(eq, param=t, syms=None, permute=False)[source]
 
      Simplify the solution procedure of diophantine equation eq by
 converting it into a product of terms which should equal zero.
      
 
      Explanation
      
@@ -1190,7 +1190,7 @@ 
      User Functionsfrom sympy.solvers.diophantine import *:
      
 
      
 
      
-sympy.solvers.diophantine.diophantine.classify_diop(eq, _dict=True)[source]
      
+sympy.solvers.diophantine.diophantine.classify_diop(eq, _dict=True)[source]
 
      
 
 
@@ -1199,7 +1199,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_solve(eq, param=t)[source]
      
+sympy.solvers.diophantine.diophantine.diop_solve(eq, param=t)[source]
 
      Solves the diophantine equation eq.
      
 
      Explanation
      
 
      Unlike diophantine(), factoring of eq is not attempted. Uses
@@ -1236,7 +1236,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_linear(eq, param=t)[source]
      
+sympy.solvers.diophantine.diophantine.diop_linear(eq, param=t)[source]
 
      Solves linear diophantine equations.
      
 
      A linear diophantine equation is an equation of the form \(a_{1}x_{1} +
 a_{2}x_{2} + .. + a_{n}x_{n} = 0\) where \(a_{1}, a_{2}, ..a_{n}\) are
@@ -1268,7 +1268,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.base_solution_linear(c, a, b, t=None)[source]
      
+sympy.solvers.diophantine.diophantine.base_solution_linear(c, a, b, t=None)[source]
 
      Return the base solution for the linear equation, \(ax + by = c\).
      
 
      Explanation
      
 
      Used by diop_linear() to find the base solution of a linear
@@ -1294,7 +1294,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_quadratic(eq, param=t)[source]
      
+sympy.solvers.diophantine.diophantine.diop_quadratic(eq, param=t)[source]
 
      Solves quadratic diophantine equations.
      
 
      i.e. equations of the form \(Ax^2 + Bxy + Cy^2 + Dx + Ey + F = 0\). Returns a
 set containing the tuples \((x, y)\) which contains the solutions. If there
@@ -1334,7 +1334,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_DN(D, N, t=t)[source]
      
+sympy.solvers.diophantine.diophantine.diop_DN(D, N, t=t)[source]
 
      Solves the equation \(x^2 - Dy^2 = N\).
      
 
      Explanation
      
 
      Mainly concerned with the case \(D > 0, D\) is not a perfect square,
@@ -1389,7 +1389,7 @@ 
      Internal Functionsm: int,
      
 
      
 
-) → set[tuple[int, int]][source]
+) → set[tuple[int, int]][source]
 
      Solves \(ax^2 + by^2 = m\) where \(\gcd(a, b) = 1 = gcd(a, m)\) and \(a, b > 0\).
      
 
      Explanation
      
 
      Uses the algorithm due to Cornacchia. The method only finds primitive
@@ -1428,7 +1428,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_bf_DN(D, N, t=t)[source]
      
+sympy.solvers.diophantine.diophantine.diop_bf_DN(D, N, t=t)[source]
 
      Uses brute force to solve the equation, \(x^2 - Dy^2 = N\).
      
 
      Explanation
      
 
      Mainly concerned with the generalized Pell equation which is the case when
@@ -1467,7 +1467,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.transformation_to_DN(eq)[source]
      
+sympy.solvers.diophantine.diophantine.transformation_to_DN(eq)[source]
 
      This function transforms general quadratic,
 \(ax^2 + bxy + cy^2 + dx + ey + f = 0\)
 to more easy to deal with \(X^2 - DY^2 = N\) form.
      
@@ -1539,7 +1539,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.transformation_to_normal(eq)[source]
      
+sympy.solvers.diophantine.diophantine.transformation_to_normal(eq)[source]
 
      Returns the transformation Matrix that converts a general ternary
 quadratic equation eq (\(ax^2 + by^2 + cz^2 + dxy + eyz + fxz\))
 to a form without cross terms: \(ax^2 + by^2 + cz^2 = 0\). This is
@@ -1549,7 +1549,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.find_DN(eq)[source]
      
+sympy.solvers.diophantine.diophantine.find_DN(eq)[source]
 
      This function returns a tuple, \((D, N)\) of the simplified form,
 \(x^2 - Dy^2 = N\), corresponding to the general quadratic,
 \(ax^2 + bxy + cy^2 + dx + ey + f = 0\).
      
@@ -1585,7 +1585,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_ternary_quadratic(eq, parameterize=False)[source]
      
+sympy.solvers.diophantine.diophantine.diop_ternary_quadratic(eq, parameterize=False)[source]
 
      Solves the general quadratic ternary form,
 \(ax^2 + by^2 + cz^2 + fxy + gyz + hxz = 0\).
      
 
      Returns a tuple \((x, y, z)\) which is a base solution for the above
@@ -1613,7 +1613,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.square_factor(a)[source]
      
+sympy.solvers.diophantine.diophantine.square_factor(a)[source]
 
      Returns an integer \(c\) s.t. \(a = c^2k, \ c,k \in Z\). Here \(k\) is square
 free. \(a\) can be given as an integer or a dictionary of factors.
      
 
      Examples
      
@@ -1636,7 +1636,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.descent(A, B)[source]
      
+sympy.solvers.diophantine.diophantine.descent(A, B)[source]
 
      Returns a non-trivial solution, (x, y, z), to \(x^2 = Ay^2 + Bz^2\)
 using Lagrange’s descent method with lattice-reduction. \(A\) and \(B\)
 are assumed to be valid for such a solution to exist.
      
@@ -1666,7 +1666,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_general_pythagorean(eq, param=m)[source]
      
+sympy.solvers.diophantine.diophantine.diop_general_pythagorean(eq, param=m)[source]
 
      Solves the general pythagorean equation,
 \(a_{1}^2x_{1}^2 + a_{2}^2x_{2}^2 + . . . + a_{n}^2x_{n}^2 - a_{n + 1}^2x_{n + 1}^2 = 0\).
      
 
      Returns a tuple which contains a parametrized solution to the equation,
@@ -1688,7 +1688,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_general_sum_of_squares(eq, limit=1)[source]
      
+sympy.solvers.diophantine.diophantine.diop_general_sum_of_squares(eq, limit=1)[source]
 
      Solves the equation \(x_{1}^2 + x_{2}^2 + . . . + x_{n}^2 - k = 0\).
      
 
      Returns at most limit number of solutions.
      
 
      Usage
      
@@ -1718,7 +1718,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.diop_general_sum_of_even_powers(eq, limit=1)[source]
      
+sympy.solvers.diophantine.diophantine.diop_general_sum_of_even_powers(eq, limit=1)[source]
 
      Solves the equation \(x_{1}^e + x_{2}^e + . . . + x_{n}^e - k = 0\)
 where \(e\) is an even, integer power.
      
 
      Returns at most limit number of solutions.
      
@@ -1741,7 +1741,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.power_representation(n, p, k, zeros=False)[source]
      
+sympy.solvers.diophantine.diophantine.power_representation(n, p, k, zeros=False)[source]
 
      Returns a generator for finding k-tuples of integers,
 \((n_{1}, n_{2}, . . . n_{k})\), such that
 \(n = n_{1}^p + n_{2}^p + . . . n_{k}^p\).
      
@@ -1785,7 +1785,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.partition(n, k=None, zeros=False)[source]
      
+sympy.solvers.diophantine.diophantine.partition(n, k=None, zeros=False)[source]
 
      Returns a generator that can be used to generate partitions of an integer
 \(n\).
      
 
      Explanation
      
@@ -1824,7 +1824,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.sum_of_three_squares(n)[source]
      
+sympy.solvers.diophantine.diophantine.sum_of_three_squares(n)[source]
 
      Returns a 3-tuple \((a, b, c)\) such that \(a^2 + b^2 + c^2 = n\) and
 \(a, b, c \geq 0\).
      
 
      Returns None if \(n = 4^a(8m + 7)\) for some \(a, m \in \mathbb{Z}\). See
@@ -1875,7 +1875,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.sum_of_four_squares(n)[source]
      
+sympy.solvers.diophantine.diophantine.sum_of_four_squares(n)[source]
 
      Returns a 4-tuple \((a, b, c, d)\) such that \(a^2 + b^2 + c^2 + d^2 = n\).
 Here \(a, b, c, d \geq 0\).
      
 
      
@@ -1925,7 +1925,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.sum_of_powers(n, p, k, zeros=False)[source]
      
+sympy.solvers.diophantine.diophantine.sum_of_powers(n, p, k, zeros=False)[source]
 
      Returns a generator for finding k-tuples of integers,
 \((n_{1}, n_{2}, . . . n_{k})\), such that
 \(n = n_{1}^p + n_{2}^p + . . . n_{k}^p\).
      
@@ -1969,7 +1969,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.sum_of_squares(n, k, zeros=False)[source]
      
+sympy.solvers.diophantine.diophantine.sum_of_squares(n, k, zeros=False)[source]
 
      Return a generator that yields the k-tuples of nonnegative
 values, the squares of which sum to n. If zeros is False (default)
 then the solution will not contain zeros. The nonnegative
@@ -2012,7 +2012,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.merge_solution(var, var_t, solution)[source]
      
+sympy.solvers.diophantine.diophantine.merge_solution(var, var_t, solution)[source]
 
      This is used to construct the full solution from the solutions of sub
 equations.
      
 
      Explanation
      
@@ -2026,13 +2026,13 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.divisible(a, b)[source]
      
+sympy.solvers.diophantine.diophantine.divisible(a, b)[source]
 
      Returns \(True\) if a is divisible by b and \(False\) otherwise.
      
 
      
 
 
      
 
      
-sympy.solvers.diophantine.diophantine.PQa(P_0, Q_0, D)[source]
      
+sympy.solvers.diophantine.diophantine.PQa(P_0, Q_0, D)[source]
 
      Returns useful information needed to solve the Pell equation.
      
 
      Explanation
      
 
      There are six sequences of integers defined related to the continued
@@ -2067,7 +2067,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.equivalent(u, v, r, s, D, N)[source]
      
+sympy.solvers.diophantine.diophantine.equivalent(u, v, r, s, D, N)[source]
 
      Returns True if two solutions \((u, v)\) and \((r, s)\) of \(x^2 - Dy^2 = N\)
 belongs to the same equivalence class and False otherwise.
      
 
      Explanation
      
@@ -2100,7 +2100,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.parametrize_ternary_quadratic(eq)[source]
      
+sympy.solvers.diophantine.diophantine.parametrize_ternary_quadratic(eq)[source]
 
      Returns the parametrized general solution for the ternary quadratic
 equation eq which has the form
 \(ax^2 + by^2 + cz^2 + fxy + gyz + hxz = 0\).
      
@@ -2161,7 +2161,7 @@ 
      Internal Functionsparameterize=False,
      
 
      
 
-)[source]
+)[source]
 
      Solves the quadratic ternary diophantine equation,
 \(ax^2 + by^2 + cz^2 = 0\).
      
 
      Explanation
      
@@ -2187,7 +2187,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.ldescent(A, B)[source]
      
+sympy.solvers.diophantine.diophantine.ldescent(A, B)[source]
 
      Return a non-trivial solution to \(w^2 = Ax^2 + By^2\) using
 Lagrange’s method; return None if there is no such solution.
      
 
      
@@ -2243,7 +2243,7 @@ 
      Internal Functionsb: int,
      
 
      
 
-) → tuple[int, int][source]
+) → tuple[int, int][source]
 
      Returns a reduced solution \((x, z)\) to the congruence
 \(X^2 - aZ^2 \equiv 0 \pmod{b}\) so that \(x^2 + |a|z^2\) is as small as possible.
 Here w is a solution of the congruence \(x^2 \equiv a \pmod{b}\).
      
@@ -2318,7 +2318,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.holzer(x, y, z, a, b, c)[source]
      
+sympy.solvers.diophantine.diophantine.holzer(x, y, z, a, b, c)[source]
 
      Simplify the solution \((x, y, z)\) of the equation
 \(ax^2 + by^2 = cz^2\) with \(a, b, c > 0\) and \(z^2 \geq \mid ab \mid\) to
 a new reduced solution \((x', y', z')\) such that \(z'^2 \leq \mid ab \mid\).
      
@@ -2344,7 +2344,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.prime_as_sum_of_two_squares(p)[source]
      
+sympy.solvers.diophantine.diophantine.prime_as_sum_of_two_squares(p)[source]
 
      Represent a prime \(p\) as a unique sum of two squares; this can
 only be done if the prime is congruent to 1 mod 4.
      
 
      
@@ -2390,7 +2390,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.sqf_normal(a, b, c, steps=False)[source]
      
+sympy.solvers.diophantine.diophantine.sqf_normal(a, b, c, steps=False)[source]
 
      Return \(a', b', c'\), the coefficients of the square-free normal
 form of \(ax^2 + by^2 + cz^2 = 0\), where \(a', b', c'\) are pairwise
 prime.  If \(steps\) is True then also return three tuples:
@@ -2424,7 +2424,7 @@ 
      Internal Functions
 
      
-sympy.solvers.diophantine.diophantine.reconstruct(A, B, z)[source]
      
+sympy.solvers.diophantine.diophantine.reconstruct(A, B, z)[source]
 
      Reconstruct the \(z\) value of an equivalent solution of \(ax^2 + by^2 + cz^2\)
 from the \(z\) value of a solution of the square-free normal form of the
 equation, \(a'*x^2 + b'*y^2 + c'*z^2\), where \(a'\), \(b'\) and \(c'\) are square
@@ -2437,7 +2437,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.DiophantineSolutionSet(symbols_seq, parameters)[source]
      
+class sympy.solvers.diophantine.diophantine.DiophantineSolutionSet(symbols_seq, parameters)[source]
 
      Container for a set of solutions to a particular diophantine equation.
      
 
      The base representation is a set of tuples representing each of the solutions.
      
 
      
@@ -2508,7 +2508,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Internal representation of a particular diophantine equation type.
      
 
      
 
      Parameters:
      
@@ -2543,7 +2543,7 @@ 
      Internal Classes
 
      
-matches()[source]
      
+matches()[source]
 
      Determine whether the given equation can be matched to the particular equation type.
      
 
      
 
@@ -2551,7 +2551,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.Univariate(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.Univariate(equation, free_symbols=None)[source]
 
      Representation of a univariate diophantine equation.
      
 
      A univariate diophantine equation is an equation of the form
 \(a_{0} + a_{1}x + a_{2}x^2 + .. + a_{n}x^n = 0\) where \(a_{1}, a_{2}, ..a_{n}\) are
@@ -2567,7 +2567,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.Linear(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.Linear(equation, free_symbols=None)[source]
 
      Representation of a linear diophantine equation.
      
 
      A linear diophantine equation is an equation of the form \(a_{1}x_{1} +
 a_{2}x_{2} + .. + a_{n}x_{n} = 0\) where \(a_{1}, a_{2}, ..a_{n}\) are
@@ -2591,7 +2591,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.BinaryQuadratic(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.BinaryQuadratic(equation, free_symbols=None)[source]
 
      Representation of a binary quadratic diophantine equation.
      
 
      A binary quadratic diophantine equation is an equation of the
 form \(Ax^2 + Bxy + Cy^2 + Dx + Ey + F = 0\), where \(A, B, C, D, E,
@@ -2633,7 +2633,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of an inhomogeneous ternary quadratic.
      
 
      No solver is currently implemented for this equation type.
      
 
      
@@ -2647,7 +2647,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of a homogeneous ternary quadratic normal diophantine equation.
      
 
      Examples
      
 
      >>> from sympy.abc import x, y, z
@@ -2667,7 +2667,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of a homogeneous ternary quadratic diophantine equation.
      
 
      Examples
      
 
      >>> from sympy.abc import x, y, z
@@ -2689,7 +2689,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of an inhomogeneous general quadratic.
      
 
      No solver is currently implemented for this equation type.
      
 
      
@@ -2703,14 +2703,14 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of a homogeneous general quadratic.
      
 
      No solver is currently implemented for this equation type.
      
 
      
 
 
      
 
      
-class sympy.solvers.diophantine.diophantine.GeneralSumOfSquares(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.GeneralSumOfSquares(equation, free_symbols=None)[source]
 
      Representation of the diophantine equation
      
 
      \(x_{1}^2 + x_{2}^2 + . . . + x_{n}^2 - k = 0\).
      
 
      Details
      
@@ -2742,7 +2742,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.GeneralPythagorean(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.GeneralPythagorean(equation, free_symbols=None)[source]
 
      Representation of the general pythagorean equation,
 \(a_{1}^2x_{1}^2 + a_{2}^2x_{2}^2 + . . . + a_{n}^2x_{n}^2 - a_{n + 1}^2x_{n + 1}^2 = 0\).
      
 
      Examples
      
@@ -2758,7 +2758,7 @@ 
      Internal Classes
 
      
-class sympy.solvers.diophantine.diophantine.CubicThue(equation, free_symbols=None)[source]
      
+class sympy.solvers.diophantine.diophantine.CubicThue(equation, free_symbols=None)[source]
 
      Representation of a cubic Thue diophantine equation.
      
 
      A cubic Thue diophantine equation is a polynomial of the form
 \(f(x, y) = r\) of degree 3, where \(x\) and \(y\) are integers
@@ -2783,7 +2783,7 @@ 
      Internal Classesfree_symbols=None,
      
 
      
 
-)[source]
+)[source]
 
      Representation of the diophantine equation
      
 
      \(x_{1}^e + x_{2}^e + . . . + x_{n}^e - k = 0\)
      
 
      where \(e\) is an even, integer power.
      
diff --git a/dev/modules/solvers/inequalities.html b/dev/modules/solvers/inequalities.html
index 232ff390754..d1c060c2bdd 100644
--- a/dev/modules/solvers/inequalities.html
+++ b/dev/modules/solvers/inequalities.html
@@ -816,7 +816,7 @@ 
      Documentation Version
      
 
      
 
      
 
      
-sympy.solvers.inequalities.solve_rational_inequalities(eqs)[source]
      
+sympy.solvers.inequalities.solve_rational_inequalities(eqs)[source]
 
      Solve a system of rational inequalities with rational coefficients.
      
 
      Examples
      
 
      >>> from sympy.abc import x
@@ -843,7 +843,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.inequalities.solve_poly_inequality(poly, rel)[source]
      
+sympy.solvers.inequalities.solve_poly_inequality(poly, rel)[source]
 
      Solve a polynomial inequality with rational coefficients.
      
 
      Examples
      
 
      >>> from sympy import solve_poly_inequality, Poly
@@ -870,7 +870,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.inequalities.solve_poly_inequalities(polys)[source]
      
+sympy.solvers.inequalities.solve_poly_inequalities(polys)[source]
 
      Solve polynomial inequalities with rational coefficients.
      
 
      Examples
      
 
      >>> from sympy import Poly
@@ -894,7 +894,7 @@ 
      Documentation Version
      
 
      relational=True,
      
 
      
 
-)[source]
+)[source]
 
      Reduce a system of rational inequalities with rational coefficients.
      
 
      Examples
      
 
      >>> from sympy import Symbol
@@ -928,7 +928,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.inequalities.reduce_abs_inequality(expr, rel, gen)[source]
      
+sympy.solvers.inequalities.reduce_abs_inequality(expr, rel, gen)[source]
 
      Reduce an inequality with nested absolute values.
      
 
      Examples
      
 
      >>> from sympy import reduce_abs_inequality, Abs, Symbol
@@ -951,7 +951,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.inequalities.reduce_abs_inequalities(exprs, gen)[source]
      
+sympy.solvers.inequalities.reduce_abs_inequalities(exprs, gen)[source]
 
      Reduce a system of inequalities with nested absolute values.
      
 
      Examples
      
 
      >>> from sympy import reduce_abs_inequalities, Abs, Symbol
@@ -975,7 +975,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.inequalities.reduce_inequalities(inequalities, symbols=[])[source]
      
+sympy.solvers.inequalities.reduce_inequalities(inequalities, symbols=[])[source]
 
      Reduce a system of inequalities with rational coefficients.
      
 
      Examples
      
 
      >>> from sympy.abc import x, y
@@ -1004,7 +1004,7 @@ 
      Documentation Version
      
 
      continuous=False,
      
 
      
 
-)[source]
+)[source]
 
      Solves a real univariate inequality.
      
 
      
 
      Parameters:
      
diff --git a/dev/modules/solvers/ode.html b/dev/modules/solvers/ode.html
index 2355ef55876..48a97340621 100644
--- a/dev/modules/solvers/ode.html
+++ b/dev/modules/solvers/ode.html
@@ -827,7 +827,7 @@ 
      Documentation Version
      
 
      **kwargs,
      
 
      
 
-)[source]
+)[source]
 
      Solves any (supported) kind of ordinary differential equation and
 system of ordinary differential equations.
      
 
      For Single Ordinary Differential Equation
      
@@ -1025,7 +1025,7 @@ 
      Documentation Version
      
 
      simplify=True,
      
 
      
 
-)[source]
+)[source]
 
      Solves any(supported) system of Ordinary Differential Equations
      
 
      
 
      Parameters:
      
@@ -1139,7 +1139,7 @@ 
      Documentation Version
      
 
      **kwargs,
      
 
      
 
-)[source]
+)[source]
 
      Returns a tuple of possible dsolve()
 classifications for an ODE.
      
 
      The tuple is ordered so that first item is the classification that
@@ -1267,7 +1267,7 @@ 
      Documentation Version
      
 
      solve_for_func=True,
      
 
      
 
-)[source]
+)[source]
 
      Substitutes sol into ode and checks that the result is 0.
      
 
      This works when func is one function, like \(f(x)\) or a list of
 functions like \([f(x), g(x)]\) when \(ode\) is a system of ODEs.  sol can
@@ -1328,7 +1328,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.ode.homogeneous_order(eq, *symbols)[source]
      
+sympy.solvers.ode.homogeneous_order(eq, *symbols)[source]
 
      Returns the order \(n\) if \(g\) is homogeneous and None if it is not
 homogeneous.
      
 
      Determines if a function is homogeneous and if so of what order.  A
@@ -1376,7 +1376,7 @@ 
      Documentation Version
      
 
      match=None,
      
 
      
 
-)[source]
+)[source]
 
      The infinitesimal functions of an ordinary differential equation, \(\xi(x,y)\)
 and \(\eta(x,y)\), are the infinitesimals of the Lie group of point transformations
 for which the differential equation is invariant. So, the ODE \(y'=f(x,y)\)
@@ -1445,7 +1445,7 @@ 
      Documentation Version
      
 
      order=None,
      
 
      
 
-)[source]
+)[source]
 
      This function is used to check if the given infinitesimals are the
 actual infinitesimals of the given first order differential equation.
 This method is specific to the Lie Group Solver of ODEs.
      
@@ -1469,7 +1469,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.ode.constantsimp(expr, constants)[source]
      
+sympy.solvers.ode.constantsimp(expr, constants)[source]
 
      Simplifies an expression with arbitrary constants in it.
      
 
      This function is written specifically to work with
 dsolve(), and is not intended for general use.
      
@@ -1543,7 +1543,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.ode.ode.odesimp(ode, eq, func, hint)[source]
      
+sympy.solvers.ode.ode.odesimp(ode, eq, func, hint)[source]
 
      Simplifies solutions of ODEs, including trying to solve for func and
 running constantsimp().
      
 
      It may use knowledge of the type of solution that the hint returns to
@@ -1607,7 +1607,7 @@ 
      Documentation Version
      
 
      newconstants=None,
      
 
      
 
-)[source]
+)[source]
 
      Renumber arbitrary constants in expr to use the symbol names as given
 in newconstants. In the process, this reorders expression terms in a
 standard way.
      
@@ -1651,7 +1651,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.ode.ode.ode_sol_simplicity(sol, func, trysolving=True)[source]
      
+sympy.solvers.ode.ode.ode_sol_simplicity(sol, func, trysolving=True)[source]
 
      Returns an extended integer representing how simple a solution to an ODE
 is.
      
 
      The following things are considered, in order from most simple to least:
      
@@ -1732,7 +1732,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.Factorable(ode_problem)[source]
      
+class sympy.solvers.ode.single.Factorable(ode_problem)[source]
 
      Solves equations having a solvable factor.
      
 
      This function is used to solve the equation having factors. Factors may be of type algebraic or ode. It
 will try to solve each factor independently. Factors will be solved by calling dsolve. We will return the
@@ -1751,7 +1751,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.FirstExact(ode_problem)[source]
      
+class sympy.solvers.ode.single.FirstExact(ode_problem)[source]
 
      Solves 1st order exact ordinary differential equations.
      
 
      A 1st order differential equation is called exact if it is the total
 differential of a function. That is, the differential equation
      
@@ -1804,7 +1804,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.HomogeneousCoeffBest(ode_problem)[source]
      
+class sympy.solvers.ode.single.HomogeneousCoeffBest(ode_problem)[source]
 
      Returns the best solution to an ODE from the two hints
 1st_homogeneous_coeff_subs_dep_div_indep and
 1st_homogeneous_coeff_subs_indep_div_dep.
      
@@ -1841,7 +1841,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.HomogeneousCoeffSubsDepDivIndep(ode_problem)[source]
      
+class sympy.solvers.ode.single.HomogeneousCoeffSubsDepDivIndep(ode_problem)[source]
 
      Solves a 1st order differential equation with homogeneous coefficients
 using the substitution \(u_1 = \frac{\text{<dependent
 variable>}}{\text{<independent variable>}}\).
      
@@ -1914,7 +1914,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.HomogeneousCoeffSubsIndepDivDep(ode_problem)[source]
      
+class sympy.solvers.ode.single.HomogeneousCoeffSubsIndepDivDep(ode_problem)[source]
 
      Solves a 1st order differential equation with homogeneous coefficients
 using the substitution \(u_2 = \frac{\text{<independent
 variable>}}{\text{<dependent variable>}}\).
      
@@ -1990,7 +1990,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.FirstLinear(ode_problem)[source]
      
+class sympy.solvers.ode.single.FirstLinear(ode_problem)[source]
 
      Solves 1st order linear differential equations.
      
 
      These are differential equations of the form
      
 
      
@@ -2039,7 +2039,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.RationalRiccati(ode_problem)[source]
      
+class sympy.solvers.ode.single.RationalRiccati(ode_problem)[source]
 
      Gives general solutions to the first order Riccati differential
 equations that have atleast one rational particular solution.
      
 
      
@@ -2072,7 +2072,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.SecondLinearAiry(ode_problem)[source]
      
+class sympy.solvers.ode.single.SecondLinearAiry(ode_problem)[source]
 
      Gives solution of the Airy differential equation
      
 
      
 
      
@@ -2092,7 +2092,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.SecondLinearBessel(ode_problem)[source]
      
+class sympy.solvers.ode.single.SecondLinearBessel(ode_problem)[source]
 
      Gives solution of the Bessel differential equation
      
 
      
 
      
@@ -2121,7 +2121,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.Bernoulli(ode_problem)[source]
      
+class sympy.solvers.ode.single.Bernoulli(ode_problem)[source]
 
      Solves Bernoulli differential equations.
      
 
      These are equations of the form
      
 
      
@@ -2193,7 +2193,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.Liouville(ode_problem)[source]
      
+class sympy.solvers.ode.single.Liouville(ode_problem)[source]
 
      Solves 2nd order Liouville differential equations.
      
 
      The general form of a Liouville ODE is
      
 
      
@@ -2249,7 +2249,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.RiccatiSpecial(ode_problem)[source]
      
+class sympy.solvers.ode.single.RiccatiSpecial(ode_problem)[source]
 
      The general Riccati equation has the form
      
 
      
 
      
@@ -2291,7 +2291,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.NthLinearConstantCoeffHomogeneous(ode_problem)[source]
      
+class sympy.solvers.ode.single.NthLinearConstantCoeffHomogeneous(ode_problem)[source]
 
      Solves an \(n\)th order linear homogeneous differential equation with
 constant coefficients.
      
 
      This is an equation of the form
      
@@ -2358,7 +2358,7 @@ 
      Documentation Version
      
 
      ode_problem,
      
 
      
 
-)[source]
+)[source]
 
      Solves an \(n\)th order linear differential equation with constant
 coefficients using the method of undetermined coefficients.
      
 
      This method works on differential equations of the form
      
@@ -2417,7 +2417,7 @@ 
      Documentation Version
      
 
      ode_problem,
      
 
      
 
-)[source]
+)[source]
 
      Solves an \(n\)th order linear differential equation with constant
 coefficients using the method of variation of parameters.
      
 
      This method works on any differential equations of the form
      
@@ -2484,7 +2484,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.NthLinearEulerEqHomogeneous(ode_problem)[source]
      
+class sympy.solvers.ode.single.NthLinearEulerEqHomogeneous(ode_problem)[source]
 
      Solves an \(n\)th order linear homogeneous variable-coefficient
 Cauchy-Euler equidimensional ordinary differential equation.
      
 
      This is an equation with form \(0 = a_0 f(x) + a_1 x f'(x) + a_2 x^2 f''(x)
@@ -2553,7 +2553,7 @@ 
      Documentation Version
      
 
      ode_problem,
      
 
      
 
-)[source]
+)[source]
 
      Solves an \(n\)th order linear non homogeneous Cauchy-Euler equidimensional
 ordinary differential equation using variation of parameters.
      
 
      This is an equation with form \(g(x) = a_0 f(x) + a_1 x f'(x) + a_2 x^2 f''(x)
@@ -2611,7 +2611,7 @@ 
      Documentation Version
      
 
      ode_problem,
      
 
      
 
-)[source]
+)[source]
 
      Solves an \(n\)th order linear non homogeneous Cauchy-Euler equidimensional
 ordinary differential equation using undetermined coefficients.
      
 
      This is an equation with form \(g(x) = a_0 f(x) + a_1 x f'(x) + a_2 x^2 f''(x)
@@ -2653,7 +2653,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.NthAlgebraic(ode_problem)[source]
      
+class sympy.solvers.ode.single.NthAlgebraic(ode_problem)[source]
 
      Solves an \(n\)th order ordinary differential equation using algebra and
 integrals.
      
 
      There is no general form for the kind of equation that this can solve. The
@@ -2674,7 +2674,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.NthOrderReducible(ode_problem)[source]
      
+class sympy.solvers.ode.single.NthOrderReducible(ode_problem)[source]
 
      Solves ODEs that only involve derivatives of the dependent variable using
 a substitution of the form \(f^n(x) = g(x)\).
      
 
      For example any second order ODE of the form \(f''(x) = h(f'(x), x)\) can be
@@ -2696,7 +2696,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.Separable(ode_problem)[source]
      
+class sympy.solvers.ode.single.Separable(ode_problem)[source]
 
      Solves separable 1st order differential equations.
      
 
      This is any differential equation that can be written as \(P(y)
 \tfrac{dy}{dx} = Q(x)\).  The solution can then just be found by
@@ -2749,7 +2749,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.AlmostLinear(ode_problem)[source]
      
+class sympy.solvers.ode.single.AlmostLinear(ode_problem)[source]
 
      Solves an almost-linear differential equation.
      
 
      The general form of an almost linear differential equation is
      
 
      
@@ -2795,7 +2795,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.LinearCoefficients(ode_problem)[source]
      
+class sympy.solvers.ode.single.LinearCoefficients(ode_problem)[source]
 
      Solves a differential equation with linear coefficients.
      
 
      The general form of a differential equation with linear coefficients is
      
 
      
@@ -2840,7 +2840,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.SeparableReduced(ode_problem)[source]
      
+class sympy.solvers.ode.single.SeparableReduced(ode_problem)[source]
 
      Solves a differential equation that can be reduced to the separable form.
      
 
      The general form of this equation is
      
 
      
@@ -2901,7 +2901,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.LieGroup(ode_problem)[source]
      
+class sympy.solvers.ode.single.LieGroup(ode_problem)[source]
 
      This hint implements the Lie group method of solving first order differential
 equations. The aim is to convert the given differential equation from the
 given coordinate system into another coordinate system where it becomes
@@ -2951,7 +2951,7 @@ 
      Documentation Version
      
 
 
      
 
      
-class sympy.solvers.ode.single.SecondHypergeometric(ode_problem)[source]
      
+class sympy.solvers.ode.single.SecondHypergeometric(ode_problem)[source]
 
      Solves 2nd order linear differential equations.
      
 
      It computes special function solutions which can be expressed using the
 2F1, 1F1 or 0F1 hypergeometric functions.
      
@@ -3000,7 +3000,7 @@ 
      Documentation Version
      
 
 
      
 
      
-sympy.solvers.ode.ode.ode_1st_power_series(eq, func, order, match)[source]
      
+sympy.solvers.ode.ode.ode_1st_power_series(eq, func, order, match)[source]
 
      The power series solution is a method which gives the Taylor series expansion
 to the solution of a differential equation.
      
 
      For a first order differential equation \(\frac{dy}{dx} = h(x, y)\), a power
@@ -3047,7 +3047,7 @@ 
      Documentation Version
      
 
      match,
      
 
      
 
-)[source]
+)[source]
 
      Gives a power series solution to a second order homogeneous differential
 equation with polynomial coefficients at an ordinary point. A homogeneous
 differential equation is of the form
      
@@ -3091,7 +3091,7 @@ 
      Documentation Version
      
 
      match,
      
 
      
 
-)[source]
+)[source]
 
      Gives a power series solution to a second order homogeneous differential
 equation with polynomial coefficients at a regular point. A second order
 homogeneous differential equation is of the form
      
@@ -3150,7 +3150,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_abaco1_simple(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_abaco1_simple(match, comp=False)[source]
 
      The first heuristic uses the following four sets of
 assumptions on \(\xi\) and \(\eta\)
      
 
      
@@ -3190,7 +3190,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_abaco1_product(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_abaco1_product(match, comp=False)[source]
 
      The second heuristic uses the following two assumptions on \(\xi\) and \(\eta\)
      
 
      
 
      
@@ -3223,7 +3223,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_bivariate(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_bivariate(match, comp=False)[source]
 
      The third heuristic assumes the infinitesimals \(\xi\) and \(\eta\)
 to be bi-variate polynomials in \(x\) and \(y\). The assumption made here
 for the logic below is that \(h\) is a rational function in \(x\) and \(y\)
@@ -3242,7 +3242,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_chi(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_chi(match, comp=False)[source]
 
      The aim of the fourth heuristic is to find the function \(\chi(x, y)\)
 that satisfies the PDE \(\frac{d\chi}{dx} + h\frac{d\chi}{dx}
 - \frac{\partial h}{\partial y}\chi = 0\).
      
@@ -3263,7 +3263,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_abaco2_similar(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_abaco2_similar(match, comp=False)[source]
 
      This heuristic uses the following two assumptions on \(\xi\) and \(\eta\)
      
 
      
 
      
@@ -3301,7 +3301,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_function_sum(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_function_sum(match, comp=False)[source]
 
      This heuristic uses the following two assumptions on \(\xi\) and \(\eta\)
      
 
      
 
      
@@ -3348,7 +3348,7 @@ 
      Lie heuristicscomp=False,
      
 
      
 
-)[source]
+)[source]
 
      This heuristic assumes the presence of unknown functions or known functions
 with non-integer powers.
      
 
        
@@ -3384,7 +3384,7 @@ 
        Lie heuristicscomp=False,
      
 
      
 
-)[source]
+)[source]
 
      This heuristic finds if infinitesimals of the form \(\eta = f(x)\), \(\xi = g(y)\)
 without making any assumptions on \(h\).
      
 
      The complete sequence of steps is given in the paper mentioned below.
      
@@ -3397,7 +3397,7 @@ 
      Lie heuristics
 
      
-sympy.solvers.ode.lie_group.lie_heuristic_linear(match, comp=False)[source]
      
+sympy.solvers.ode.lie_group.lie_heuristic_linear(match, comp=False)[source]
 
      This heuristic assumes
      
 
        
 
      1. \(\xi = ax + by + c\) and
        2. 
@@ -3428,7 +3428,7 @@ 
        Rational Riccati Solver
 
        
 
        
-sympy.solvers.ode.riccati.riccati_normal(w, x, b1, b2)[source]
        
+sympy.solvers.ode.riccati.riccati_normal(w, x, b1, b2)[source]
 
        Given a solution \(w(x)\) to the equation
        
 
        
 
        
@@ -3451,28 +3451,28 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.riccati_inverse_normal(y, x, b1, b2, bp=None)[source]
        
+sympy.solvers.ode.riccati.riccati_inverse_normal(y, x, b1, b2, bp=None)[source]
 
        Inverse transforming the solution to the normal
 Riccati ODE to get the solution to the Riccati ODE.
        
 
        
 
 
        
 
        
-sympy.solvers.ode.riccati.riccati_reduced(eq, f, x)[source]
        
+sympy.solvers.ode.riccati.riccati_reduced(eq, f, x)[source]
 
        Convert a Riccati ODE into its corresponding
 normal Riccati ODE.
        
 
        
 
 
        
 
        
-sympy.solvers.ode.riccati.construct_c(num, den, x, poles, muls)[source]
        
+sympy.solvers.ode.riccati.construct_c(num, den, x, poles, muls)[source]
 
        Helper function to calculate the coefficients
 in the c-vector for each pole.
        
 
        
 
 
        
 
        
-sympy.solvers.ode.riccati.construct_d(num, den, x, val_inf)[source]
        
+sympy.solvers.ode.riccati.construct_d(num, den, x, val_inf)[source]
 
        Helper function to calculate the coefficients
 in the d-vector based on the valuation of the
 function at oo.
        
@@ -3480,7 +3480,7 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.rational_laurent_series(num, den, x, r, m, n)[source]
        
+sympy.solvers.ode.riccati.rational_laurent_series(num, den, x, r, m, n)[source]
 
        The function computes the Laurent series coefficients
 of a rational function.
        
 
        
@@ -3525,7 +3525,7 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.compute_m_ybar(x, poles, choice, N)[source]
        
+sympy.solvers.ode.riccati.compute_m_ybar(x, poles, choice, N)[source]
 
        Helper function to calculate -
        
 
        1. m - The degree bound for the polynomial
 solution that must be found for the auxiliary
@@ -3536,7 +3536,7 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.solve_aux_eq(numa, dena, numy, deny, x, m)[source]
        
+sympy.solvers.ode.riccati.solve_aux_eq(numa, dena, numy, deny, x, m)[source]
 
        Helper function to find a polynomial solution
 of degree m for the auxiliary differential
 equation.
        
@@ -3544,14 +3544,14 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.remove_redundant_sols(sol1, sol2, x)[source]
        
+sympy.solvers.ode.riccati.remove_redundant_sols(sol1, sol2, x)[source]
 
        Helper function to remove redundant
 solutions to the differential equation.
        
 
        
 
 
        
 
        
-sympy.solvers.ode.riccati.get_gen_sol_from_part_sol(part_sols, a, x)[source]
        
+sympy.solvers.ode.riccati.get_gen_sol_from_part_sol(part_sols, a, x)[source]
 
        ”
 Helper function which computes the general
 solution for a Riccati ODE from its particular
@@ -3567,7 +3567,7 @@ 
        Rational Riccati Solver
 
        
-sympy.solvers.ode.riccati.solve_riccati(fx, x, b0, b1, b2, gensol=False)[source]
        
+sympy.solvers.ode.riccati.solve_riccati(fx, x, b0, b1, b2, gensol=False)[source]
 
        The main function that gives particular/general
 solutions to Riccati ODEs that have atleast 1
 rational particular solution.
        
@@ -3580,7 +3580,7 @@ 
        System of ODEsdsolve() for system of differential equations.
        
 
        
 
        
-sympy.solvers.ode.ode._linear_2eq_order1_type6(x, y, t, r, eq)[source]
        
+sympy.solvers.ode.ode._linear_2eq_order1_type6(x, y, t, r, eq)[source]
 
        The equations of this type of ode are .
        
 
        
 
        
@@ -3607,7 +3607,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._linear_2eq_order1_type7(x, y, t, r, eq)[source]
        
+sympy.solvers.ode.ode._linear_2eq_order1_type7(x, y, t, r, eq)[source]
 
        The equations of this type of ode are .
        
 
        
 
        
@@ -3650,7 +3650,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.systems.linear_ode_to_matrix(eqs, funcs, t, order)[source]
        
+sympy.solvers.ode.systems.linear_ode_to_matrix(eqs, funcs, t, order)[source]
 
        Convert a linear system of ODEs to matrix form
        
 
        
 
        Parameters:
        
@@ -3779,7 +3779,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.systems.canonical_odes(eqs, funcs, t)[source]
        
+sympy.solvers.ode.systems.canonical_odes(eqs, funcs, t)[source]
 
        Function that solves for highest order derivatives in a system
        
 
        
 
        Parameters:
        
@@ -3840,7 +3840,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.systems.linodesolve_type(A, t, b=None)[source]
        
+sympy.solvers.ode.systems.linodesolve_type(A, t, b=None)[source]
 
        Helper function that determines the type of the system of ODEs for solving with sympy.solvers.ode.systems.linodesolve()
        
 
        
 
        Parameters:
        
@@ -3929,7 +3929,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.systems.matrix_exp_jordan_form(A, t)[source]
        
+sympy.solvers.ode.systems.matrix_exp_jordan_form(A, t)[source]
 
        Matrix exponential \(\exp(A*t)\) for the matrix A and scalar t.
        
 
        
 
        Parameters:
        
@@ -3990,7 +3990,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.systems.matrix_exp(A, t)[source]
        
+sympy.solvers.ode.systems.matrix_exp(A, t)[source]
 
        Matrix exponential \(\exp(A*t)\) for the matrix A and scalar t.
        
 
        
 
        Parameters:
        
@@ -4086,7 +4086,7 @@ 
        System of ODEstau=None,
        
 
        
 
-)[source]
+)[source]
 
        System of n equations linear first-order differential equations
        
 
        
 
        Parameters:
        
@@ -4305,7 +4305,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_2eq_order1_type1(x, y, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_2eq_order1_type1(x, y, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4336,7 +4336,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_2eq_order1_type2(x, y, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_2eq_order1_type2(x, y, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4367,7 +4367,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_2eq_order1_type3(x, y, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_2eq_order1_type3(x, y, t, eq)[source]
 
        Autonomous system of general form
        
 
        
 
        
@@ -4392,7 +4392,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_2eq_order1_type4(x, y, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_2eq_order1_type4(x, y, t, eq)[source]
 
        Equation:
        
 
        
 
        
@@ -4415,7 +4415,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_2eq_order1_type5(func, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_2eq_order1_type5(func, t, eq)[source]
 
        Clairaut system of ODEs
        
 
        
 
        
@@ -4439,7 +4439,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_3eq_order1_type1(x, y, z, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_3eq_order1_type1(x, y, z, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4464,7 +4464,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_3eq_order1_type2(x, y, z, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_3eq_order1_type2(x, y, z, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4497,7 +4497,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_3eq_order1_type3(x, y, z, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_3eq_order1_type3(x, y, z, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4527,7 +4527,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_3eq_order1_type4(x, y, z, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_3eq_order1_type4(x, y, z, t, eq)[source]
 
        Equations:
        
 
        
 
        
@@ -4557,7 +4557,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._nonlinear_3eq_order1_type5(x, y, z, t, eq)[source]
        
+sympy.solvers.ode.ode._nonlinear_3eq_order1_type5(x, y, z, t, eq)[source]
 
        
 
        
 \[x' = x (c F_2 - b F_3), \enspace y' = y (a F_3 - c F_1), \enspace z' = z (b F_1 - a F_2)\]
        
@@ -4795,7 +4795,7 @@ 
        System of ODEs
 
        
-sympy.solvers.ode.ode._handle_Integral(expr, func, hint)[source]
        
+sympy.solvers.ode.ode._handle_Integral(expr, func, hint)[source]
 
        Converts a solution with Integrals in it into an actual solution.
        
 
        For most hints, this simply runs expr.doit().
        
 
        
diff --git a/dev/modules/solvers/pde.html b/dev/modules/solvers/pde.html
index 70bda320dd6..6fe44b05800 100644
--- a/dev/modules/solvers/pde.html
+++ b/dev/modules/solvers/pde.html
@@ -805,7 +805,7 @@ 
        User Functionsfrom sympy import *.  They are intended for user use.
        
 
        
 
        
-sympy.solvers.pde.pde_separate(eq, fun, sep, strategy='mul')[source]
        
+sympy.solvers.pde.pde_separate(eq, fun, sep, strategy='mul')[source]
 
        Separate variables in partial differential equation either by additive
 or multiplicative separation approach. It tries to rewrite an equation so
 that one of the specified variables occurs on a different side of the
@@ -846,7 +846,7 @@ 
        User Functions
 
        
-sympy.solvers.pde.pde_separate_add(eq, fun, sep)[source]
        
+sympy.solvers.pde.pde_separate_add(eq, fun, sep)[source]
 
        Helper function for searching additive separable solutions.
        
 
        Consider an equation of two independent variables x, y and a dependent
 variable w, we look for the product of two functions depending on different
@@ -867,7 +867,7 @@ 
        User Functions
 
        
-sympy.solvers.pde.pde_separate_mul(eq, fun, sep)[source]
        
+sympy.solvers.pde.pde_separate_mul(eq, fun, sep)[source]
 
        Helper function for searching multiplicative separable solutions.
        
 
        Consider an equation of two independent variables x, y and a dependent
 variable w, we look for the product of two functions depending on different
@@ -899,7 +899,7 @@ 
        User Functions**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Solves any (supported) kind of partial differential equation.
        
 
        Usage
        
 
        
@@ -1012,7 +1012,7 @@ 
        User Functions**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Returns a tuple of possible pdsolve() classifications for a PDE.
        
 
        The tuple is ordered so that first item is the classification that
 pdsolve() uses to solve the PDE by default.  In general,
@@ -1055,7 +1055,7 @@ 
        User Functionssolve_for_func=True,
        
 
        
 
-)[source]
+)[source]
 
        Checks if the given solution satisfies the partial differential
 equation.
        
 
        pde is the partial differential equation which can be given in the
@@ -1109,7 +1109,7 @@ 
        Hint Methodssolvefun,
        
 
        
 
-)[source]
+)[source]
 
        Solves a first order linear homogeneous
 partial differential equation with constant coefficients.
        
 
        The general form of this partial differential equation is
        
@@ -1179,7 +1179,7 @@ 
        Hint Methodssolvefun,
        
 
        
 
-)[source]
+)[source]
 
        Solves a first order linear partial differential equation
 with constant coefficients.
        
 
        The general form of this partial differential equation is
        
@@ -1264,7 +1264,7 @@ 
        Hint Methodssolvefun,
        
 
        
 
-)[source]
+)[source]
 
        Solves a first order linear partial differential equation
 with variable coefficients. The general form of this partial
 differential equation is
        
diff --git a/dev/modules/solvers/solvers.html b/dev/modules/solvers/solvers.html
index 98bf2725fe7..38c60c05c8a 100644
--- a/dev/modules/solvers/solvers.html
+++ b/dev/modules/solvers/solvers.html
@@ -832,7 +832,7 @@ 
        Documentation Version
        
 is the symbol that we want to solve the equation for.
        
 
        
 
        
-sympy.solvers.solvers.solve(f, *symbols, **flags)[source]
        
+sympy.solvers.solvers.solve(f, *symbols, **flags)[source]
 
        Algebraically solves equations and systems of equations.
        
 
        
 
        Parameters:
        
@@ -1322,7 +1322,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.solve_linear(lhs, rhs=0, symbols=[], exclude=[])[source]
        
+sympy.solvers.solvers.solve_linear(lhs, rhs=0, symbols=[], exclude=[])[source]
 
        Return a tuple derived from f = lhs - rhs that is one of
 the following: (0, 1), (0, 0), (symbol, solution), (n, d).
        
 
        Explanation
        
@@ -1422,7 +1422,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.solve_linear_system(system, *symbols, **flags)[source]
        
+sympy.solvers.solvers.solve_linear_system(system, *symbols, **flags)[source]
 
        Solve system of \(N\) linear equations with \(M\) variables, which means
 both under- and overdetermined systems are supported.
        
 
        Explanation
        
@@ -1465,7 +1465,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.solve_linear_system_LU(matrix, syms)[source]
        
+sympy.solvers.solvers.solve_linear_system_LU(matrix, syms)[source]
 
        Solves the augmented matrix system using LUsolve and returns a
 dictionary in which solutions are keyed to the symbols of syms as ordered.
        
 
        Explanation
        
@@ -1499,7 +1499,7 @@ 
        Documentation Version
        
 
        **flags,
        
 
        
 
-)[source]
+)[source]
 
        Solve a system of equations in \(k\) parameters that is formed by
 matching coefficients in variables coeffs that are on
 factors dependent on the remaining variables (or those given
@@ -1562,7 +1562,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.nsolve(*args, dict=False, **kwargs)[source]
        
+sympy.solvers.solvers.nsolve(*args, dict=False, **kwargs)[source]
 
        Solve a nonlinear equation system numerically: nsolve(f, [args,] x0,
 modules=['mpmath'], **kwargs).
        
 
        Explanation
        
@@ -1664,7 +1664,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.checksol(f, symbol, sol=None, **flags)[source]
        
+sympy.solvers.solvers.checksol(f, symbol, sol=None, **flags)[source]
 
        Checks whether sol is a solution of equation f == 0.
        
 
        Explanation
        
 
        Input can be either a single symbol and corresponding value
@@ -1712,7 +1712,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.solvers.solvers.unrad(eq, *syms, **flags)[source]
        
+sympy.solvers.solvers.unrad(eq, *syms, **flags)[source]
 
        Remove radicals with symbolic arguments and return (eq, cov),
 None, or raise an error.
        
 
        Explanation
        
@@ -1787,7 +1787,7 @@ 
        Partial Differential Equations (PDEs)
        
 
        
 
        
-sympy.solvers.deutils.ode_order(expr, func)[source]
        
+sympy.solvers.deutils.ode_order(expr, func)[source]
 
        Returns the order of a given differential
 equation with respect to func.
        
 
        This function is implemented recursively.
        
@@ -1812,7 +1812,7 @@ 
        Deutils (Utilities for solving ODE’s and PDE’s)
        Recurrence Equations
        
 
        
 
        
-sympy.solvers.recurr.rsolve(f, y, init=None)[source]
        
+sympy.solvers.recurr.rsolve(f, y, init=None)[source]
 
        Solve univariate recurrence with rational coefficients.
        
 
        Given \(k\)-th order linear recurrence \(\operatorname{L} y = f\),
 or equivalently:
        
@@ -1868,7 +1868,7 @@ 
        Deutils (Utilities for solving ODE’s and PDE’s)
 
        
-sympy.solvers.recurr.rsolve_poly(coeffs, f, n, shift=0, **hints)[source]
        
+sympy.solvers.recurr.rsolve_poly(coeffs, f, n, shift=0, **hints)[source]
 
        Given linear recurrence operator \(\operatorname{L}\) of order
 \(k\) with polynomial coefficients and inhomogeneous equation
 \(\operatorname{L} y = f\), where \(f\) is a polynomial, we seek for
@@ -1929,7 +1929,7 @@ 
        Deutils (Utilities for solving ODE’s and PDE’s)
 
        
-sympy.solvers.recurr.rsolve_ratio(coeffs, f, n, **hints)[source]
        
+sympy.solvers.recurr.rsolve_ratio(coeffs, f, n, **hints)[source]
 
        Given linear recurrence operator \(\operatorname{L}\) of order \(k\)
 with polynomial coefficients and inhomogeneous equation
 \(\operatorname{L} y = f\), where \(f\) is a polynomial, we seek
@@ -1982,7 +1982,7 @@ 
        Deutils (Utilities for solving ODE’s and PDE’s)
 
        
-sympy.solvers.recurr.rsolve_hyper(coeffs, f, n, **hints)[source]
        
+sympy.solvers.recurr.rsolve_hyper(coeffs, f, n, **hints)[source]
 
        Given linear recurrence operator \(\operatorname{L}\) of order \(k\)
 with polynomial coefficients and inhomogeneous equation
 \(\operatorname{L} y = f\) we seek for all hypergeometric solutions
@@ -2054,7 +2054,7 @@ 
        Systems of Polynomial Equations**args,
        
 
        
 
-)[source]
+)[source]
 
        Return a list of solutions for the system of polynomial equations
 or else None.
        
 
        
@@ -2110,7 +2110,7 @@ 
        Systems of Polynomial Equations
 
        
-sympy.solvers.polysys.solve_triangulated(polys, *gens, **args)[source]
        
+sympy.solvers.polysys.solve_triangulated(polys, *gens, **args)[source]
 
        Solve a polynomial system using Gianni-Kalkbrenner algorithm.
        
 
        The algorithm proceeds by computing one Groebner basis in the ground
 domain and then by iteratively computing polynomial factorizations in
@@ -2170,7 +2170,7 @@ 
        Inequalities
        Linear Programming (Optimization)
        
 
        
 
        
-sympy.solvers.simplex.lpmax(f, constr)[source]
        
+sympy.solvers.simplex.lpmax(f, constr)[source]
 
        return maximum of linear equation f under
 linear constraints expressed using Ge, Le or Eq.
        
 
        All variables are unbounded unless constrained.
        
@@ -2204,7 +2204,7 @@ 
        Inequalities
 
        
-sympy.solvers.simplex.lpmin(f, constr)[source]
        
+sympy.solvers.simplex.lpmin(f, constr)[source]
 
        return minimum of linear equation f under
 linear constraints expressed using Ge, Le or Eq.
        
 
        All variables are unbounded unless constrained.
        
@@ -2251,7 +2251,7 @@ 
        Inequalitiesbounds=None,
        
 
        
 
-)[source]
+)[source]
 
        Return the minimization of c*x with the given
 constraints A*x <= b and A_eq*x = b_eq. Unless bounds
 are given, variables will have nonnegative values in the solution.
        
diff --git a/dev/modules/solvers/solveset.html b/dev/modules/solvers/solveset.html
index 9ad77b86d46..fe7c1876a1d 100644
--- a/dev/modules/solvers/solveset.html
+++ b/dev/modules/solvers/solveset.html
@@ -1323,7 +1323,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.solveset(f, symbol=None, domain=Complexes)[source]
        
+sympy.solvers.solveset.solveset(f, symbol=None, domain=Complexes)[source]
 
        Solves a given inequality or equation with set as output
        
 
        
 
        Parameters:
        
@@ -1439,24 +1439,24 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.solveset_real(f, symbol)[source]
        
+sympy.solvers.solveset.solveset_real(f, symbol)[source]
 
        
 
 
        
 
        
-sympy.solvers.solveset.solveset_complex(f, symbol)[source]
        
+sympy.solvers.solveset.solveset_complex(f, symbol)[source]
 
        
 
 
        
 
        
-sympy.solvers.solveset.invert_real(f_x, y, x)[source]
        
+sympy.solvers.solveset.invert_real(f_x, y, x)[source]
 
        Inverts a real-valued function. Same as invert_complex(), but sets
 the domain to S.Reals before inverting.
        
 
        
 
 
        
 
        
-sympy.solvers.solveset.invert_complex(f_x, y, x, domain=Complexes)[source]
        
+sympy.solvers.solveset.invert_complex(f_x, y, x, domain=Complexes)[source]
 
        Reduce the complex valued equation \(f(x) = y\) to a set of equations
        
 
        
 
        
@@ -1512,7 +1512,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.domain_check(f, symbol, p)[source]
        
+sympy.solvers.solveset.domain_check(f, symbol, p)[source]
 
        Returns False if point p is infinite or any subexpression of f
 is infinite or becomes so after replacing symbol with p. If none of
 these conditions is met then True will be returned.
        
@@ -1548,7 +1548,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.solvify(f, symbol, domain)[source]
        
+sympy.solvers.solveset.solvify(f, symbol, domain)[source]
 
        Solves an equation using solveset and returns the solution in accordance
 with the \(solve\) output API.
        
 
        
@@ -1590,7 +1590,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.linear_eq_to_matrix(equations, *symbols)[source]
        
+sympy.solvers.solveset.linear_eq_to_matrix(equations, *symbols)[source]
 
        Converts a given System of Equations into Matrix form.
 Here \(equations\) must be a linear system of equations in
 \(symbols\). Element M[i, j] corresponds to the coefficient
@@ -1680,7 +1680,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.linsolve(system, *symbols)[source]
        
+sympy.solvers.solveset.linsolve(system, *symbols)[source]
 
        Solve system of \(N\) linear equations with \(M\) variables; both
 underdetermined and overdetermined systems are supported.
 The possible number of solutions is zero, one or infinite.
@@ -1876,7 +1876,7 @@ 
        Solveset Module Reference
 
        
-sympy.solvers.solveset.nonlinsolve(system, *symbols)[source]
        
+sympy.solvers.solveset.nonlinsolve(system, *symbols)[source]
 
        Solve system of \(N\) nonlinear equations with \(M\) variables, which means both
 under and overdetermined systems are supported. Positive dimensional
 system is also supported (A system with infinitely many solutions is said
@@ -2034,7 +2034,7 @@ 
        Solveset Module Reference
        
 
        
 
        
-sympy.solvers.solveset._transolve(f, symbol, domain)[source]
        
+sympy.solvers.solveset._transolve(f, symbol, domain)[source]
 
        Function to solve transcendental equations. It is a helper to
 solveset and should be used internally. _transolve
 currently supports the following class of equations:
        
@@ -2207,7 +2207,7 @@ 
        transolve
 
        
-sympy.solvers.solveset._is_exponential(f, symbol)[source]
        
+sympy.solvers.solveset._is_exponential(f, symbol)[source]
 
        Return True if one or more terms contain symbol only in
 exponents, else False.
        
 
        
@@ -2247,7 +2247,7 @@ 
        transolve
 
        
-sympy.solvers.solveset._solve_exponential(lhs, rhs, symbol, domain)[source]
        
+sympy.solvers.solveset._solve_exponential(lhs, rhs, symbol, domain)[source]
 
        Helper function for solving (supported) exponential equations.
        
 
        Exponential equations are the sum of (currently) at most
 two terms with one or both of them having a power with a
@@ -2327,7 +2327,7 @@ 
        transolve
 
        
-sympy.solvers.solveset._solve_logarithm(lhs, rhs, symbol, domain)[source]
        
+sympy.solvers.solveset._solve_logarithm(lhs, rhs, symbol, domain)[source]
 
        Helper to solve logarithmic equations which are reducible
 to a single instance of \(\log\).
        
 
        Logarithmic equations are (currently) the equations that contains
@@ -2418,7 +2418,7 @@ 
        transolve
 
        
-sympy.solvers.solveset._is_logarithmic(f, symbol)[source]
        
+sympy.solvers.solveset._is_logarithmic(f, symbol)[source]
 
        Return True if the equation is in the form
 \(a\log(f(x)) + b\log(g(x)) + ... + c\) else False.
        
 
        
diff --git a/dev/modules/stats.html b/dev/modules/stats.html
index c629c210e03..cd92e53514c 100644
--- a/dev/modules/stats.html
+++ b/dev/modules/stats.html
@@ -925,7 +925,7 @@ 
        Random Variable TypesFinite Types
        
 
        
 
        
-sympy.stats.DiscreteUniform(name, items)[source]
        
+sympy.stats.DiscreteUniform(name, items)[source]
 
        Create a Finite Random Variable representing a uniform distribution over
 the input set.
        
 
        
@@ -969,7 +969,7 @@ 
        Finite Types
 
        
-sympy.stats.Die(name, sides=6)[source]
        
+sympy.stats.Die(name, sides=6)[source]
 
        Create a Finite Random Variable representing a fair die.
        
 
        
 
        Parameters:
        
@@ -1009,7 +1009,7 @@ 
        Finite Types
 
        
-sympy.stats.Bernoulli(name, p, succ=1, fail=0)[source]
        
+sympy.stats.Bernoulli(name, p, succ=1, fail=0)[source]
 
        Create a Finite Random Variable representing a Bernoulli process.
        
 
        
 
        Parameters:
        
@@ -1060,7 +1060,7 @@ 
        Finite Types
 
        
-sympy.stats.Coin(name, p=1 / 2)[source]
        
+sympy.stats.Coin(name, p=1 / 2)[source]
 
        Create a Finite Random Variable representing a Coin toss.
        
 
        This is an equivalent of a Bernoulli random variable with
 “H” and “T” as success and failure events respectively.
        
@@ -1105,7 +1105,7 @@ 
        Finite Types
 
        
-sympy.stats.Binomial(name, n, p, succ=1, fail=0)[source]
        
+sympy.stats.Binomial(name, n, p, succ=1, fail=0)[source]
 
        Create a Finite Random Variable representing a binomial distribution.
        
 
        
 
        Parameters:
        
@@ -1164,7 +1164,7 @@ 
        Finite Types
 
        
-sympy.stats.BetaBinomial(name, n, alpha, beta)[source]
        
+sympy.stats.BetaBinomial(name, n, alpha, beta)[source]
 
        Create a Finite Random Variable representing a Beta-binomial distribution.
        
 
        
 
        Parameters:
        
@@ -1203,7 +1203,7 @@ 
        Finite Types
 
        
-sympy.stats.Hypergeometric(name, N, m, n)[source]
        
+sympy.stats.Hypergeometric(name, N, m, n)[source]
 
        Create a Finite Random Variable representing a hypergeometric distribution.
        
 
        
 
        Parameters:
        
@@ -1248,7 +1248,7 @@ 
        Finite Types
 
        
-sympy.stats.FiniteRV(name, density, **kwargs)[source]
        
+sympy.stats.FiniteRV(name, density, **kwargs)[source]
 
        Create a Finite Random Variable given a dict representing the density.
        
 
        
 
        Parameters:
        
@@ -1289,7 +1289,7 @@ 
        Finite Types
 
        
-sympy.stats.Rademacher(name)[source]
        
+sympy.stats.Rademacher(name)[source]
 
        Create a Finite Random Variable representing a Rademacher distribution.
        
 
        
 
        Returns:
        
@@ -1323,7 +1323,7 @@ 
        Finite Types
        
 
        
 
        
-sympy.stats.Geometric(name, p)[source]
        
+sympy.stats.Geometric(name, p)[source]
 
        Create a discrete random variable with a Geometric distribution.
        
 
        
 
        Parameters:
        
@@ -1378,7 +1378,7 @@ 
        Discrete Types
 
        
-sympy.stats.Hermite(name, a1, a2)[source]
        
+sympy.stats.Hermite(name, a1, a2)[source]
 
        Create a discrete random variable with a Hermite distribution.
        
 
        
 
        Parameters:
        
@@ -1432,7 +1432,7 @@ 
        Discrete Types
 
        
-sympy.stats.Poisson(name, lamda)[source]
        
+sympy.stats.Poisson(name, lamda)[source]
 
        Create a discrete random variable with a Poisson distribution.
        
 
        
 
        Parameters:
        
@@ -1487,7 +1487,7 @@ 
        Discrete Types
 
        
-sympy.stats.Logarithmic(name, p)[source]
        
+sympy.stats.Logarithmic(name, p)[source]
 
        Create a discrete random variable with a Logarithmic distribution.
        
 
        
 
        Parameters:
        
@@ -1542,7 +1542,7 @@ 
        Discrete Types
 
        
-sympy.stats.NegativeBinomial(name, r, p)[source]
        
+sympy.stats.NegativeBinomial(name, r, p)[source]
 
        Create a discrete random variable with a Negative Binomial distribution.
        
 
        
 
        Parameters:
        
@@ -1599,7 +1599,7 @@ 
        Discrete Types
 
        
-sympy.stats.Skellam(name, mu1, mu2)[source]
        
+sympy.stats.Skellam(name, mu1, mu2)[source]
 
        Create a discrete random variable with a Skellam distribution.
        
 
        
 
        Parameters:
        
@@ -1654,7 +1654,7 @@ 
        Discrete Types
 
        
-sympy.stats.YuleSimon(name, rho)[source]
        
+sympy.stats.YuleSimon(name, rho)[source]
 
        Create a discrete random variable with a Yule-Simon distribution.
        
 
        
 
        Parameters:
        
@@ -1705,7 +1705,7 @@ 
        Discrete Types
 
        
-sympy.stats.Zeta(name, s)[source]
        
+sympy.stats.Zeta(name, s)[source]
 
        Create a discrete random variable with a Zeta distribution.
        
 
        
 
        Parameters:
        
@@ -1759,7 +1759,7 @@ 
        Discrete Types
        
 
        
 
        
-sympy.stats.Arcsin(name, a=0, b=1)[source]
        
+sympy.stats.Arcsin(name, a=0, b=1)[source]
 
        Create a Continuous Random Variable with an arcsin distribution.
        
 
        The density of the arcsin distribution is given by
        
 
        
@@ -1810,7 +1810,7 @@ 
        Continuous Types
 
        
-sympy.stats.Benini(name, alpha, beta, sigma)[source]
        
+sympy.stats.Benini(name, alpha, beta, sigma)[source]
 
        Create a Continuous Random Variable with a Benini distribution.
        
 
        The density of the Benini distribution is given by
        
 
        
@@ -1874,7 +1874,7 @@ 
        Continuous Types
 
        
-sympy.stats.Beta(name, alpha, beta)[source]
        
+sympy.stats.Beta(name, alpha, beta)[source]
 
        Create a Continuous Random Variable with a Beta distribution.
        
 
        The density of the Beta distribution is given by
        
 
        
@@ -1935,7 +1935,7 @@ 
        Continuous Types
 
        
-sympy.stats.BetaNoncentral(name, alpha, beta, lamda)[source]
        
+sympy.stats.BetaNoncentral(name, alpha, beta, lamda)[source]
 
        Create a Continuous Random Variable with a Type I Noncentral Beta distribution.
        
 
        The density of the Noncentral Beta distribution is given by
        
 
        
@@ -2006,7 +2006,7 @@ 
        Continuous Types
 
        
-sympy.stats.BetaPrime(name, alpha, beta)[source]
        
+sympy.stats.BetaPrime(name, alpha, beta)[source]
 
        Create a continuous random variable with a Beta prime distribution.
        
 
        The density of the Beta prime distribution is given by
        
 
        
@@ -2059,7 +2059,7 @@ 
        Continuous Types
 
        
-sympy.stats.BoundedPareto(name, alpha, left, right)[source]
        
+sympy.stats.BoundedPareto(name, alpha, left, right)[source]
 
        Create a continuous random variable with a Bounded Pareto distribution.
        
 
        The density of the Bounded Pareto distribution is given by
        
 
        
@@ -2110,7 +2110,7 @@ 
        Continuous Types
 
        
-sympy.stats.Cauchy(name, x0, gamma)[source]
        
+sympy.stats.Cauchy(name, x0, gamma)[source]
 
        Create a continuous random variable with a Cauchy distribution.
        
 
        The density of the Cauchy distribution is given by
        
 
        
@@ -2158,7 +2158,7 @@ 
        Continuous Types
 
        
-sympy.stats.Chi(name, k)[source]
        
+sympy.stats.Chi(name, k)[source]
 
        Create a continuous random variable with a Chi distribution.
        
 
        The density of the Chi distribution is given by
        
 
        
@@ -2209,7 +2209,7 @@ 
        Continuous Types
 
        
-sympy.stats.ChiNoncentral(name, k, l)[source]
        
+sympy.stats.ChiNoncentral(name, k, l)[source]
 
        Create a continuous random variable with a non-central Chi distribution.
        
 
        
 
        Parameters:
        
@@ -2263,7 +2263,7 @@ 
        Continuous Types
 
        
-sympy.stats.ChiSquared(name, k)[source]
        
+sympy.stats.ChiSquared(name, k)[source]
 
        Create a continuous random variable with a Chi-squared distribution.
        
 
        
 
        Parameters:
        
@@ -2327,7 +2327,7 @@ 
        Continuous Types
 
        
-sympy.stats.Dagum(name, p, a, b)[source]
        
+sympy.stats.Dagum(name, p, a, b)[source]
 
        Create a continuous random variable with a Dagum distribution.
        
 
        
 
        Parameters:
        
@@ -2389,7 +2389,7 @@ 
        Continuous Types
 
        
-sympy.stats.Davis(name, b, n, mu)[source]
        
+sympy.stats.Davis(name, b, n, mu)[source]
 
        Create a continuous random variable with Davis distribution.
        
 
        
 
        Parameters:
        
@@ -2445,7 +2445,7 @@ 
        Continuous Types
 
        
-sympy.stats.Erlang(name, k, l)[source]
        
+sympy.stats.Erlang(name, k, l)[source]
 
        Create a continuous random variable with an Erlang distribution.
        
 
        
 
        Parameters:
        
@@ -2516,7 +2516,7 @@ 
        Continuous Types
 
        
-sympy.stats.ExGaussian(name, mean, std, rate)[source]
        
+sympy.stats.ExGaussian(name, mean, std, rate)[source]
 
        Create a continuous random variable with an Exponentially modified
 Gaussian (EMG) distribution.
        
 
        
@@ -2603,7 +2603,7 @@ 
        Continuous Types
 
        
-sympy.stats.Exponential(name, rate)[source]
        
+sympy.stats.Exponential(name, rate)[source]
 
        Create a continuous random variable with an Exponential distribution.
        
 
        
 
        Parameters:
        
@@ -2686,7 +2686,7 @@ 
        Continuous Types
 
        
-sympy.stats.FDistribution(name, d1, d2)[source]
        
+sympy.stats.FDistribution(name, d1, d2)[source]
 
        Create a continuous random variable with a F distribution.
        
 
        
 
        Parameters:
        
@@ -2746,7 +2746,7 @@ 
        Continuous Types
 
        
-sympy.stats.FisherZ(name, d1, d2)[source]
        
+sympy.stats.FisherZ(name, d1, d2)[source]
 
        Create a Continuous Random Variable with an Fisher’s Z distribution.
        
 
        
 
        Parameters:
        
@@ -2811,7 +2811,7 @@ 
        Continuous Types
 
        
-sympy.stats.Frechet(name, a, s=1, m=0)[source]
        
+sympy.stats.Frechet(name, a, s=1, m=0)[source]
 
        Create a continuous random variable with a Frechet distribution.
        
 
        
 
        Parameters:
        
@@ -2864,7 +2864,7 @@ 
        Continuous Types
 
        
-sympy.stats.Gamma(name, k, theta)[source]
        
+sympy.stats.Gamma(name, k, theta)[source]
 
        Create a continuous random variable with a Gamma distribution.
        
 
        
 
        Parameters:
        
@@ -2941,7 +2941,7 @@ 
        Continuous Types
 
        
-sympy.stats.GammaInverse(name, a, b)[source]
        
+sympy.stats.GammaInverse(name, a, b)[source]
 
        Create a continuous random variable with an inverse Gamma distribution.
        
 
        
 
        Parameters:
        
@@ -2998,7 +2998,7 @@ 
        Continuous Types
 
        
-sympy.stats.Gompertz(name, b, eta)[source]
        
+sympy.stats.Gompertz(name, b, eta)[source]
 
        Create a Continuous Random Variable with Gompertz distribution.
        
 
        
 
        Parameters:
        
@@ -3044,7 +3044,7 @@ 
        Continuous Types
 
        
-sympy.stats.Gumbel(name, beta, mu, minimum=False)[source]
        
+sympy.stats.Gumbel(name, beta, mu, minimum=False)[source]
 
        Create a Continuous Random Variable with Gumbel distribution.
        
 
        
 
        Parameters:
        
@@ -3107,7 +3107,7 @@ 
        Continuous Types
 
        
-sympy.stats.Kumaraswamy(name, a, b)[source]
        
+sympy.stats.Kumaraswamy(name, a, b)[source]
 
        Create a Continuous Random Variable with a Kumaraswamy distribution.
        
 
        
 
        Parameters:
        
@@ -3160,7 +3160,7 @@ 
        Continuous Types
 
        
-sympy.stats.Laplace(name, mu, b)[source]
        
+sympy.stats.Laplace(name, mu, b)[source]
 
        Create a continuous random variable with a Laplace distribution.
        
 
        
 
        Parameters:
        
@@ -3227,7 +3227,7 @@ 
        Continuous Types
 
        
-sympy.stats.Levy(name, mu, c)[source]
        
+sympy.stats.Levy(name, mu, c)[source]
 
        Create a continuous random variable with a Levy distribution.
        
 
        The density of the Levy distribution is given by
        
 
        
@@ -3285,7 +3285,7 @@ 
        Continuous Types
 
        
-sympy.stats.Logistic(name, mu, s)[source]
        
+sympy.stats.Logistic(name, mu, s)[source]
 
        Create a continuous random variable with a logistic distribution.
        
 
        
 
        Parameters:
        
@@ -3338,7 +3338,7 @@ 
        Continuous Types
 
        
-sympy.stats.LogLogistic(name, alpha, beta)[source]
        
+sympy.stats.LogLogistic(name, alpha, beta)[source]
 
        Create a continuous random variable with a log-logistic distribution.
 The distribution is unimodal when beta > 1.
        
 
        
@@ -3404,7 +3404,7 @@ 
        Continuous Types
 
        
-sympy.stats.LogNormal(name, mean, std)[source]
        
+sympy.stats.LogNormal(name, mean, std)[source]
 
        Create a continuous random variable with a log-normal distribution.
        
 
        
 
        Parameters:
        
@@ -3477,7 +3477,7 @@ 
        Continuous Types
 
        
-sympy.stats.Lomax(name, alpha, lamda)[source]
        
+sympy.stats.Lomax(name, alpha, lamda)[source]
 
        Create a continuous random variable with a Lomax distribution.
        
 
        
 
        Parameters:
        
@@ -3527,7 +3527,7 @@ 
        Continuous Types
 
        
-sympy.stats.Maxwell(name, a)[source]
        
+sympy.stats.Maxwell(name, a)[source]
 
        Create a continuous random variable with a Maxwell distribution.
        
 
        
 
        Parameters:
        
@@ -3583,7 +3583,7 @@ 
        Continuous Types
 
        
-sympy.stats.Moyal(name, mu, sigma)[source]
        
+sympy.stats.Moyal(name, mu, sigma)[source]
 
        Create a continuous random variable with a Moyal distribution.
        
 
        
 
        Parameters:
        
@@ -3635,7 +3635,7 @@ 
        Continuous Types
 
        
-sympy.stats.Nakagami(name, mu, omega)[source]
        
+sympy.stats.Nakagami(name, mu, omega)[source]
 
        Create a continuous random variable with a Nakagami distribution.
        
 
        
 
        Parameters:
        
@@ -3706,7 +3706,7 @@ 
        Continuous Types
 
        
-sympy.stats.Normal(name, mean, std)[source]
        
+sympy.stats.Normal(name, mean, std)[source]
 
        Create a continuous random variable with a Normal distribution.
        
 
        
 
        Parameters:
        
@@ -3804,7 +3804,7 @@ 
        Continuous Types
 
        
-sympy.stats.Pareto(name, xm, alpha)[source]
        
+sympy.stats.Pareto(name, xm, alpha)[source]
 
        Create a continuous random variable with the Pareto distribution.
        
 
        
 
        Parameters:
        
@@ -3854,7 +3854,7 @@ 
        Continuous Types
 
        
-sympy.stats.PowerFunction(name, alpha, a, b)[source]
        
+sympy.stats.PowerFunction(name, alpha, a, b)[source]
 
        Creates a continuous random variable with a Power Function Distribution.
        
 
        
 
        Parameters:
        
@@ -3919,7 +3919,7 @@ 
        Continuous Types
 
        
-sympy.stats.QuadraticU(name, a, b)[source]
        
+sympy.stats.QuadraticU(name, a, b)[source]
 
        Create a Continuous Random Variable with a U-quadratic distribution.
        
 
        
 
        Parameters:
        
@@ -3974,7 +3974,7 @@ 
        Continuous Types
 
        
-sympy.stats.RaisedCosine(name, mu, s)[source]
        
+sympy.stats.RaisedCosine(name, mu, s)[source]
 
        Create a Continuous Random Variable with a raised cosine distribution.
        
 
        
 
        Parameters:
        
@@ -4027,7 +4027,7 @@ 
        Continuous Types
 
        
-sympy.stats.Rayleigh(name, sigma)[source]
        
+sympy.stats.Rayleigh(name, sigma)[source]
 
        Create a continuous random variable with a Rayleigh distribution.
        
 
        
 
        Parameters:
        
@@ -4083,7 +4083,7 @@ 
        Continuous Types
 
        
-sympy.stats.Reciprocal(name, a, b)[source]
        
+sympy.stats.Reciprocal(name, a, b)[source]
 
        Creates a continuous random variable with a reciprocal distribution.
        
 
        
 
        Parameters:
        
@@ -4118,7 +4118,7 @@ 
        Continuous Types
 
        
-sympy.stats.StudentT(name, nu)[source]
        
+sympy.stats.StudentT(name, nu)[source]
 
        Create a continuous random variable with a student’s t distribution.
        
 
        
 
        Parameters:
        
@@ -4183,7 +4183,7 @@ 
        Continuous Types
 
        
-sympy.stats.ShiftedGompertz(name, b, eta)[source]
        
+sympy.stats.ShiftedGompertz(name, b, eta)[source]
 
        Create a continuous random variable with a Shifted Gompertz distribution.
        
 
        
 
        Parameters:
        
@@ -4229,7 +4229,7 @@ 
        Continuous Types
 
        
-sympy.stats.Trapezoidal(name, a, b, c, d)[source]
        
+sympy.stats.Trapezoidal(name, a, b, c, d)[source]
 
        Create a continuous random variable with a trapezoidal distribution.
        
 
        
 
        Parameters:
        
@@ -4296,7 +4296,7 @@ 
        Continuous Types
 
        
-sympy.stats.Triangular(name, a, b, c)[source]
        
+sympy.stats.Triangular(name, a, b, c)[source]
 
        Create a continuous random variable with a triangular distribution.
        
 
        
 
        Parameters:
        
@@ -4365,7 +4365,7 @@ 
        Continuous Types
 
        
-sympy.stats.Uniform(name, left, right)[source]
        
+sympy.stats.Uniform(name, left, right)[source]
 
        Create a continuous random variable with a uniform distribution.
        
 
        
 
        Parameters:
        
@@ -4430,7 +4430,7 @@ 
        Continuous Types
 
        
-sympy.stats.UniformSum(name, n)[source]
        
+sympy.stats.UniformSum(name, n)[source]
 
        Create a continuous random variable with an Irwin-Hall distribution.
        
 
        
 
        Parameters:
        
@@ -4500,7 +4500,7 @@ 
        Continuous Types
 
        
-sympy.stats.VonMises(name, mu, k)[source]
        
+sympy.stats.VonMises(name, mu, k)[source]
 
        Create a Continuous Random Variable with a von Mises distribution.
        
 
        
 
        Parameters:
        
@@ -4560,7 +4560,7 @@ 
        Continuous Types
 
        
-sympy.stats.Wald(name, mean, shape)[source]
        
+sympy.stats.Wald(name, mean, shape)[source]
 
        Create a continuous random variable with an Inverse Gaussian distribution.
 Inverse Gaussian distribution is also known as Wald distribution.
        
 
        
@@ -4635,7 +4635,7 @@ 
        Continuous Types
 
        
-sympy.stats.Weibull(name, alpha, beta)[source]
        
+sympy.stats.Weibull(name, alpha, beta)[source]
 
        Create a continuous random variable with a Weibull distribution.
        
 
        
 
        Parameters:
        
@@ -4696,7 +4696,7 @@ 
        Continuous Types
 
        
-sympy.stats.WignerSemicircle(name, R)[source]
        
+sympy.stats.WignerSemicircle(name, R)[source]
 
        Create a continuous random variable with a Wigner semicircle distribution.
        
 
        
 
        Parameters:
        
@@ -4757,7 +4757,7 @@ 
        Continuous Types**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Create a Continuous Random Variable given the following:
        
 
        
 
        Parameters:
        
@@ -4811,7 +4811,7 @@ 
        Continuous Types
        
 
        
 
        
-sympy.stats.JointRV(symbol, pdf, _set=None)[source]
        
+sympy.stats.JointRV(symbol, pdf, _set=None)[source]
 
        Create a Joint Random Variable where each of its component is continuous,
 given the following:
        
 
        
@@ -4846,7 +4846,7 @@ 
        Joint Types
 
        
-sympy.stats.marginal_distribution(rv, *indices)[source]
        
+sympy.stats.marginal_distribution(rv, *indices)[source]
 
        Marginal distribution function of a joint random variable.
        
 
        
 
        Parameters:
        
@@ -4871,7 +4871,7 @@ 
        Joint Types
 
        
-sympy.stats.MultivariateNormal(name, mu, sigma)[source]
        
+sympy.stats.MultivariateNormal(name, mu, sigma)[source]
 
        Creates a continuous random variable with Multivariate Normal
 Distribution.
        
 
        The density of the multivariate normal distribution can be found at [1].
        
@@ -4929,7 +4929,7 @@ 
        Joint Types
 
        
-sympy.stats.MultivariateLaplace(name, mu, sigma)[source]
        
+sympy.stats.MultivariateLaplace(name, mu, sigma)[source]
 
        Creates a continuous random variable with Multivariate Laplace
 Distribution.
        
 
        The density of the multivariate Laplace distribution can be found at [1].
        
@@ -4977,7 +4977,7 @@ 
        Joint Typesmu,
        
 
        
 
-)[source]
+)[source]
 
        Creates a joint random variable with generalized multivariate log gamma
 distribution.
        
 
        The joint pdf can be found at [1].
        
@@ -5040,7 +5040,7 @@ 
        Joint Typesmu,
        
 
        
 
-)[source]
+)[source]
 
        Extends GeneralizedMultivariateLogGamma.
        
 
        
 
        Parameters:
        
@@ -5096,7 +5096,7 @@ 
        Joint Types
 
        
-sympy.stats.Multinomial(syms, n, *p)[source]
        
+sympy.stats.Multinomial(syms, n, *p)[source]
 
        Creates a discrete random variable with Multinomial Distribution.
        
 
        The density of the said distribution can be found at [1].
        
 
        
@@ -5142,7 +5142,7 @@ 
        Joint Types
 
        
-sympy.stats.MultivariateBeta(syms, *alpha)[source]
        
+sympy.stats.MultivariateBeta(syms, *alpha)[source]
 
        Creates a continuous random variable with Dirichlet/Multivariate Beta
 Distribution.
        
 
        The density of the Dirichlet distribution can be found at [1].
        
@@ -5187,7 +5187,7 @@ 
        Joint Types
 
        
-sympy.stats.MultivariateEwens(syms, n, theta)[source]
        
+sympy.stats.MultivariateEwens(syms, n, theta)[source]
 
        Creates a discrete random variable with Multivariate Ewens
 Distribution.
        
 
        The density of the said distribution can be found at [1].
        
@@ -5233,7 +5233,7 @@ 
        Joint Types
 
        
-sympy.stats.MultivariateT(syms, mu, sigma, v)[source]
        
+sympy.stats.MultivariateT(syms, mu, sigma, v)[source]
 
        Creates a joint random variable with multivariate T-distribution.
        
 
        
 
        Parameters:
        
@@ -5268,7 +5268,7 @@ 
        Joint Types
 
        
-sympy.stats.NegativeMultinomial(syms, k0, *p)[source]
        
+sympy.stats.NegativeMultinomial(syms, k0, *p)[source]
 
        Creates a discrete random variable with Negative Multinomial Distribution.
        
 
        The density of the said distribution can be found at [1].
        
 
        
@@ -5315,7 +5315,7 @@ 
        Joint Types
 
        
-sympy.stats.NormalGamma(sym, mu, lamda, alpha, beta)[source]
        
+sympy.stats.NormalGamma(sym, mu, lamda, alpha, beta)[source]
 
        Creates a bivariate joint random variable with multivariate Normal gamma
 distribution.
        
 
        
@@ -5380,7 +5380,7 @@ 
        Joint Typestrans_probs=None,
        
 
        
 
-)[source]
+)[source]
 
        Represents a finite discrete time-homogeneous Markov chain.
        
 
        This type of Markov Chain can be uniquely characterised by
 its (ordered) state space and its one-step transition probability
@@ -5507,7 +5507,7 @@ 
        Joint Types
 
        
-absorbing_probabilities()[source]
        
+absorbing_probabilities()[source]
 
        Computes the absorbing probabilities, i.e.
 the ij-th entry of the matrix denotes the
 probability of Markov chain being absorbed
@@ -5516,7 +5516,7 @@ 
        Joint Types
 
        
-canonical_form() → Tuple[List[Basic], ImmutableDenseMatrix][source]
        
+canonical_form() → Tuple[List[Basic], ImmutableDenseMatrix][source]
 
        Reorders the one-step transition matrix
 so that recurrent states appear first and transient
 states appear last. Other representations include inserting
@@ -5618,7 +5618,7 @@ 
        Joint Types
 
        
-communication_classes() → List[Tuple[List[Basic], Boolean, Integer]][source]
        
+communication_classes() → List[Tuple[List[Basic], Boolean, Integer]][source]
 
        Returns the list of communication classes that partition
 the states of the markov chain.
        
 
        A communication class is defined to be a set of states
@@ -5690,7 +5690,7 @@ 
        Joint Types
 
        
-decompose() → Tuple[List[Basic], ImmutableDenseMatrix, ImmutableDenseMatrix, ImmutableDenseMatrix][source]
        
+decompose() → Tuple[List[Basic], ImmutableDenseMatrix, ImmutableDenseMatrix, ImmutableDenseMatrix][source]
 
        Decomposes the transition matrix into submatrices with
 special properties.
        
 
        The transition matrix can be decomposed into 4 submatrices:
@@ -5773,13 +5773,13 @@ 
        Joint Types
 
        
-fixed_row_vector()[source]
        
+fixed_row_vector()[source]
 
        A wrapper for stationary_distribution().
        
 
        
 
 
        
 
        
-fundamental_matrix()[source]
        
+fundamental_matrix()[source]
 
        Each entry fundamental matrix can be interpreted as
 the expected number of times the chains is in state j
 if it started in state i.
        
@@ -5801,7 +5801,7 @@ 
        Joint Types
 
        
-sample()[source]
        
+sample()[source]
 
        
 
        Returns:
        
 
        sample: iterator object
        
@@ -5820,7 +5820,7 @@ 
        Joint Typescondition_set=False,
        
 
        
 
-) → ImmutableDenseMatrix | ConditionSet | Lambda[source]
+) → ImmutableDenseMatrix | ConditionSet | Lambda[source]
 
        The stationary distribution is any row vector, p, that solves p = pP,
 is row stochastic and each element in p must be nonnegative.
 That means in matrix form: \((P-I)^T p^T = 0\) and
@@ -5908,7 +5908,7 @@ 
        Joint Typesgen_mat=None,
        
 
        
 
-)[source]
+)[source]
 
        Represents continuous time Markov chain.
        
 
        
 
        Parameters:
        
@@ -5993,7 +5993,7 @@ 
        Joint Types
 
        
-class sympy.stats.BernoulliProcess(sym, p, success=1, failure=0)[source]
        
+class sympy.stats.BernoulliProcess(sym, p, success=1, failure=0)[source]
 
        The Bernoulli process consists of repeated
 independent Bernoulli process trials with the same parameter \(p\).
 It’s assumed that the probability \(p\) applies to every
@@ -6072,7 +6072,7 @@ 
        Joint Types**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Computes expectation.
        
 
        
 
        Parameters:
        
@@ -6103,7 +6103,7 @@ 
        Joint Types**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Computes probability.
        
 
        
 
        Parameters:
        
@@ -6127,7 +6127,7 @@ 
        Joint Types
 
        
-class sympy.stats.PoissonProcess(sym, lamda)[source]
        
+class sympy.stats.PoissonProcess(sym, lamda)[source]
 
        The Poisson process is a counting process. It is usually used in scenarios
 where we are counting the occurrences of certain events that appear
 to happen at a certain rate, but completely at random.
        
@@ -6197,7 +6197,7 @@ 
        Joint Types
 
        
-class sympy.stats.WienerProcess(sym)[source]
        
+class sympy.stats.WienerProcess(sym)[source]
 
        The Wiener process is a real valued continuous-time stochastic process.
 In physics it is used to study Brownian motion and it is often also called
 Brownian motion due to its historical connection with physical process of the
@@ -6240,7 +6240,7 @@ 
        Joint Types
 
        
-class sympy.stats.GammaProcess(sym, lamda, gamma)[source]
        
+class sympy.stats.GammaProcess(sym, lamda, gamma)[source]
 
        A Gamma process is a random process with independent gamma distributed
 increments. It is a pure-jump increasing Levy process.
        
 
        
@@ -6289,7 +6289,7 @@ 
        Joint Types
        
 
        
 
        
-sympy.stats.MatrixGamma(symbol, alpha, beta, scale_matrix)[source]
        
+sympy.stats.MatrixGamma(symbol, alpha, beta, scale_matrix)[source]
 
        Creates a random variable with Matrix Gamma Distribution.
        
 
        The density of the said distribution can be found at [1].
        
 
        
@@ -6336,7 +6336,7 @@ 
        Matrix Distributions
 
        
-sympy.stats.Wishart(symbol, n, scale_matrix)[source]
        
+sympy.stats.Wishart(symbol, n, scale_matrix)[source]
 
        Creates a random variable with Wishart Distribution.
        
 
        The density of the said distribution can be found at [1].
        
 
        
@@ -6388,7 +6388,7 @@ 
        Matrix Distributionsscale_matrix_2,
        
 
        
 
-)[source]
+)[source]
 
        Creates a random variable with Matrix Normal Distribution.
        
 
        The density of the said distribution can be found at [1].
        
 
        
@@ -6437,7 +6437,7 @@ 
        Matrix DistributionsCompound Distribution
        
 
        
 
        
-class sympy.stats.compound_rv.CompoundDistribution(dist)[source]
        
+class sympy.stats.compound_rv.CompoundDistribution(dist)[source]
 
        Class for Compound Distributions.
        
 
        
 
        Parameters:
        
@@ -6486,7 +6486,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Probability that a condition is true, optionally given a second condition.
        
 
        
 
        Parameters:
        
@@ -6525,7 +6525,7 @@ 
        Interface
 
        
-class sympy.stats.Probability(prob, condition=None, **kwargs)[source]
        
+class sympy.stats.Probability(prob, condition=None, **kwargs)[source]
 
        Symbolic expression for the probability.
        
 
        Examples
        
 
        >>> from sympy.stats import Probability, Normal
@@ -6560,7 +6560,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Returns the expected value of a random expression.
        
 
        
 
        Parameters:
        
@@ -6603,7 +6603,7 @@ 
        Interface
 
        
-class sympy.stats.Expectation(expr, condition=None, **kwargs)[source]
        
+class sympy.stats.Expectation(expr, condition=None, **kwargs)[source]
 
        Symbolic expression for the expectation.
        
 
        Examples
        
 
        >>> from sympy.stats import Expectation, Normal, Probability, Poisson
@@ -6682,7 +6682,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Probability density of a random expression, optionally given a second
 condition.
        
 
        
@@ -6728,7 +6728,7 @@ 
        Interface
 
        
-sympy.stats.entropy(expr, condition=None, **kwargs)[source]
        
+sympy.stats.entropy(expr, condition=None, **kwargs)[source]
 
        Calculuates entropy of a probability distribution.
        
 
        
 
        Parameters:
        
@@ -6774,7 +6774,7 @@ 
        Interface
 
        
-sympy.stats.given(expr, condition=None, **kwargs)[source]
        
+sympy.stats.given(expr, condition=None, **kwargs)[source]
 
        Conditional Random Expression.
        
 
        Explanation
        
 
        From a random expression and a condition on that expression creates a new
@@ -6812,7 +6812,7 @@ 
        Interface
 
        
-sympy.stats.where(condition, given_condition=None, **kwargs)[source]
        
+sympy.stats.where(condition, given_condition=None, **kwargs)[source]
 
        Returns the domain where a condition is True.
        
 
        Examples
        
 
        >>> from sympy.stats import where, Die, Normal
@@ -6840,7 +6840,7 @@ 
        Interface
 
        
-sympy.stats.variance(X, condition=None, **kwargs)[source]
        
+sympy.stats.variance(X, condition=None, **kwargs)[source]
 
        Variance of a random expression.
        
 
        
 
        
@@ -6868,7 +6868,7 @@ 
        Interface
 
        
-class sympy.stats.Variance(arg, condition=None, **kwargs)[source]
        
+class sympy.stats.Variance(arg, condition=None, **kwargs)[source]
 
        Symbolic expression for the variance.
        
 
        Examples
        
 
        >>> from sympy import symbols, Integral
@@ -6917,7 +6917,7 @@ 
        Interface
 
        
-sympy.stats.covariance(X, Y, condition=None, **kwargs)[source]
        
+sympy.stats.covariance(X, Y, condition=None, **kwargs)[source]
 
        Covariance of two random expressions.
        
 
        Explanation
        
 
        The expectation that the two variables will rise and fall together
        
@@ -6947,7 +6947,7 @@ 
        Interface
 
        
-class sympy.stats.Covariance(arg1, arg2, condition=None, **kwargs)[source]
        
+class sympy.stats.Covariance(arg1, arg2, condition=None, **kwargs)[source]
 
        Symbolic expression for the covariance.
        
 
        Examples
        
 
        >>> from sympy.stats import Covariance
@@ -6992,7 +6992,7 @@ 
        Interface
 
        
-sympy.stats.coskewness(X, Y, Z, condition=None, **kwargs)[source]
        
+sympy.stats.coskewness(X, Y, Z, condition=None, **kwargs)[source]
 
        Calculates the co-skewness of three random variables.
        
 
        
 
        Parameters:
        
@@ -7052,7 +7052,7 @@ 
        Interface
 
        
-sympy.stats.median(X, evaluate=True, **kwargs)[source]
        
+sympy.stats.median(X, evaluate=True, **kwargs)[source]
 
        Calculuates the median of the probability distribution.
        
 
        
 
        Parameters:
        
@@ -7091,7 +7091,7 @@ 
        Interface
 
        
-sympy.stats.std(X, condition=None, **kwargs)[source]
        
+sympy.stats.std(X, condition=None, **kwargs)[source]
 
        Standard Deviation of a random expression
        
 
        
 
        
@@ -7114,7 +7114,7 @@ 
        Interface
 
        
-sympy.stats.quantile(expr, evaluate=True, **kwargs)[source]
        
+sympy.stats.quantile(expr, evaluate=True, **kwargs)[source]
 
        Return the \(p^{th}\) order quantile of a probability distribution.
        
 
        Explanation
        
 
        Quantile is defined as the value at which the probability of the random
@@ -7168,7 +7168,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        A realization of the random expression.
        
 
        
 
        Parameters:
        
@@ -7289,7 +7289,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Returns an iterator of realizations from the expression given a condition.
        
 
        
 
        Parameters:
        
@@ -7348,7 +7348,7 @@ 
        Interface
 
        
-sympy.stats.factorial_moment(X, n, condition=None, **kwargs)[source]
        
+sympy.stats.factorial_moment(X, n, condition=None, **kwargs)[source]
 
        The factorial moment is a mathematical quantity defined as the expectation
 or average of the falling factorial of a random variable.
        
 
        
@@ -7393,7 +7393,7 @@ 
        Interface
 
        
-sympy.stats.kurtosis(X, condition=None, **kwargs)[source]
        
+sympy.stats.kurtosis(X, condition=None, **kwargs)[source]
 
        Characterizes the tails/outliers of a probability distribution.
        
 
        
 
        Parameters:
        
@@ -7442,7 +7442,7 @@ 
        Interface
 
        
-sympy.stats.skewness(X, condition=None, **kwargs)[source]
        
+sympy.stats.skewness(X, condition=None, **kwargs)[source]
 
        Measure of the asymmetry of the probability distribution.
        
 
        
 
        Parameters:
        
@@ -7479,7 +7479,7 @@ 
        Interface
 
        
-sympy.stats.correlation(X, Y, condition=None, **kwargs)[source]
        
+sympy.stats.correlation(X, Y, condition=None, **kwargs)[source]
 
        Correlation of two random expressions, also known as correlation
 coefficient or Pearson’s correlation.
        
 
        Explanation
        
@@ -7522,7 +7522,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Sampling version of density.
        
 
        
 
        See also
        
@@ -7544,7 +7544,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Sampling version of P.
        
 
        
 
        See also
        
@@ -7566,7 +7566,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Sampling version of E.
        
 
        
 
        See also
        
@@ -7576,7 +7576,7 @@ 
        Interface
 
        
-class sympy.stats.Moment(X, n, c=0, condition=None, **kwargs)[source]
        
+class sympy.stats.Moment(X, n, c=0, condition=None, **kwargs)[source]
 
        Symbolic class for Moment
        
 
        Examples
        
 
        >>> from sympy import Symbol, Integral
@@ -7623,7 +7623,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Return the nth moment of a random expression about c.
        
 
        
 
        
@@ -7645,7 +7645,7 @@ 
        Interface
 
        
-class sympy.stats.CentralMoment(X, n, condition=None, **kwargs)[source]
        
+class sympy.stats.CentralMoment(X, n, condition=None, **kwargs)[source]
 
        Symbolic class Central Moment
        
 
        Examples
        
 
        >>> from sympy import Symbol, Integral
@@ -7691,7 +7691,7 @@ 
        Interface**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Return the nth central moment of a random expression about its mean.
        
 
        
 
        
@@ -7712,7 +7712,7 @@ 
        Interface
 
        
-class sympy.stats.ExpectationMatrix(expr, condition=None)[source]
        
+class sympy.stats.ExpectationMatrix(expr, condition=None)[source]
 
        Expectation of a random matrix expression.
        
 
        Examples
        
 
        >>> from sympy.stats import ExpectationMatrix, Normal
@@ -7751,7 +7751,7 @@ 
        Interface
 
        
-class sympy.stats.VarianceMatrix(arg, condition=None)[source]
        
+class sympy.stats.VarianceMatrix(arg, condition=None)[source]
 
        Variance of a random matrix probability expression. Also known as
 Covariance matrix, auto-covariance matrix, dispersion matrix,
 or variance-covariance matrix.
        
@@ -7779,7 +7779,7 @@ 
        Interface
 
        
-class sympy.stats.CrossCovarianceMatrix(arg1, arg2, condition=None)[source]
        
+class sympy.stats.CrossCovarianceMatrix(arg1, arg2, condition=None)[source]
 
        Covariance of a random matrix probability expression.
        
 
        Examples
        
 
        >>> from sympy.stats import CrossCovarianceMatrix
@@ -7818,7 +7818,7 @@ 
        Interface\(\{1,2,3,4,5,6\}\).
        
 
        
 
        
-class sympy.stats.rv.RandomDomain[source]
        
+class sympy.stats.rv.RandomDomain[source]
 
        
 
 
        A PSpace, or Probability Space, combines a RandomDomain
@@ -7828,13 +7828,13 @@ 
        Interfacex.
        
 
        
 
        
-class sympy.stats.rv.PSpace[source]
        
+class sympy.stats.rv.PSpace[source]
 
        
 
 
        A RandomSymbol represents the PSpace’s symbol ‘x’ inside of SymPy expressions.
        
 
        
 
        
-class sympy.stats.rv.RandomSymbol[source]
        
+class sympy.stats.rv.RandomSymbol[source]
 
        
 
 
        The RandomDomain and PSpace classes are almost never directly instantiated.
@@ -7846,12 +7846,12 @@ 
        Interface
 
        
-class sympy.stats.rv.SinglePSpace[source]
        
+class sympy.stats.rv.SinglePSpace[source]
 
        
 
 
        
 
        
-class sympy.stats.rv.SingleDomain[source]
        
+class sympy.stats.rv.SingleDomain[source]
 
        
 
 
        Another common case is to collect together a set of such univariate random
@@ -7860,12 +7860,12 @@ 
        Interface
 
        
-class sympy.stats.rv.ProductDomain[source]
        
+class sympy.stats.rv.ProductDomain[source]
 
        
 
 
        
 
        
-class sympy.stats.rv.ProductPSpace[source]
        
+class sympy.stats.rv.ProductPSpace[source]
 
        
 
 
        The Conditional adjective is added whenever we add a global condition to a
@@ -7873,7 +7873,7 @@ 
        Interface
 
        
-class sympy.stats.rv.ConditionalDomain[source]
        
+class sympy.stats.rv.ConditionalDomain[source]
 
        
 
 
        We specialize further into Finite and Continuous versions of these classes to
@@ -7881,22 +7881,22 @@ 
        Interface
 
        
-class sympy.stats.frv.FiniteDomain[source]
        
+class sympy.stats.frv.FiniteDomain[source]
 
        
 
 
        
 
        
-class sympy.stats.frv.FinitePSpace[source]
        
+class sympy.stats.frv.FinitePSpace[source]
 
        
 
 
        
 
        
-class sympy.stats.crv.ContinuousDomain[source]
        
+class sympy.stats.crv.ContinuousDomain[source]
 
        
 
 
        
 
        
-class sympy.stats.crv.ContinuousPSpace[source]
        
+class sympy.stats.crv.ContinuousPSpace[source]
 
        
 
 
        Additionally there are a few specialized classes that implement certain common
@@ -7940,13 +7940,13 @@ 
        Interface
 
        
-sympy.stats.rv.random_symbols(expr)[source]
        
+sympy.stats.rv.random_symbols(expr)[source]
 
        Returns all RandomSymbols within a SymPy Expression.
        
 
        
 
 
        
 
        
-sympy.stats.rv.pspace(expr)[source]
        
+sympy.stats.rv.pspace(expr)[source]
 
        Returns the underlying Probability Space of a random expression.
        
 
        For internal use.
        
 
        Examples
        
@@ -7960,7 +7960,7 @@ 
        Interface
 
        
-sympy.stats.rv.rs_swap(a, b)[source]
        
+sympy.stats.rv.rs_swap(a, b)[source]
 
        Build a dictionary to swap RandomSymbols based on their underlying symbol.
        
 
        i.e.
 if    X = ('x', pspace1)
diff --git a/dev/modules/tensor/array.html b/dev/modules/tensor/array.html
index e3d5ffa903b..99fb87313be 100644
--- a/dev/modules/tensor/array.html
+++ b/dev/modules/tensor/array.html
@@ -1042,7 +1042,7 @@ 
        Classes
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        
 
 
        
@@ -1055,7 +1055,7 @@ 
        Classes
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        
 
 
        
@@ -1068,7 +1068,7 @@ 
        Classes
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        
 
 
        
@@ -1081,7 +1081,7 @@ 
        Classes
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        
 
 
@@ -1089,7 +1089,7 @@ 
        Classes
        Functions
        
 
        
 
        
-sympy.tensor.array.derive_by_array(expr, dx)[source]
        
+sympy.tensor.array.derive_by_array(expr, dx)[source]
 
        Derivative by arrays. Supports both arrays and scalars.
        
 
        The equivalent operator for array expressions is array_derive.
        
 
        Explanation
        
@@ -1121,7 +1121,7 @@ 
        Functionsindex_order_new=None,
        
 
        
 
-)[source]
+)[source]
 
        Permutes the indices of an array.
        
 
        Parameter specifies the permutation of the indices.
        
 
        The equivalent operator for array expressions is PermuteDims, which can
@@ -1174,7 +1174,7 @@ 
        Functions
 
        
-sympy.tensor.array.tensorcontraction(array, *contraction_axes)[source]
        
+sympy.tensor.array.tensorcontraction(array, *contraction_axes)[source]
 
        Contraction of an array-like object on the specified axes.
        
 
        The equivalent operator for array expressions is ArrayContraction,
 which can be used to keep the expression unevaluated.
        
@@ -1215,7 +1215,7 @@ 
        Functions
 
        
-sympy.tensor.array.tensorproduct(*args)[source]
        
+sympy.tensor.array.tensorproduct(*args)[source]
 
        Tensor product among scalars or array-like objects.
        
 
        The equivalent operator for array expressions is ArrayTensorProduct,
 which can be used to keep the expression unevaluated.
        
@@ -1248,7 +1248,7 @@ 
        Functions
 
        
-sympy.tensor.array.tensordiagonal(array, *diagonal_axes)[source]
        
+sympy.tensor.array.tensordiagonal(array, *diagonal_axes)[source]
 
        Diagonalization of an array-like object on the specified axes.
        
 
        This is equivalent to multiplying the expression by Kronecker deltas
 uniting the axes.
        
diff --git a/dev/modules/tensor/array_expressions.html b/dev/modules/tensor/array_expressions.html
index 3c8ce2ccff4..0dd80a0f313 100644
--- a/dev/modules/tensor/array_expressions.html
+++ b/dev/modules/tensor/array_expressions.html
@@ -965,7 +965,7 @@ 
        Compatibility with matrices
 
        
-class sympy.tensor.array.expressions.ArrayTensorProduct(*args, **kwargs)[source]
        
+class sympy.tensor.array.expressions.ArrayTensorProduct(*args, **kwargs)[source]
 
        Class to represent the tensor product of array-like objects.
        
 
        
 
@@ -979,14 +979,14 @@ 
        Compatibility with matrices**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        This class is meant to represent contractions of arrays in a form easily
 processable by the code printers.
        
 
        
 
 
        
 
        
-class sympy.tensor.array.expressions.ArrayDiagonal(expr, *diagonal_indices, **kwargs)[source]
        
+class sympy.tensor.array.expressions.ArrayDiagonal(expr, *diagonal_indices, **kwargs)[source]
 
        Class to represent the diagonal operator.
        
 
        Explanation
        
 
        In a 2-dimensional array it returns the diagonal, this looks like the
@@ -1015,7 +1015,7 @@ 
        Compatibility with matrices**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Class to represent permutation of axes of arrays.
        
 
        Examples
        
 
        >>> from sympy.tensor.array import permutedims
diff --git a/dev/modules/tensor/index_methods.html b/dev/modules/tensor/index_methods.html
index 196108bed3e..478def8e705 100644
--- a/dev/modules/tensor/index_methods.html
+++ b/dev/modules/tensor/index_methods.html
@@ -811,7 +811,7 @@ 
        Documentation Version
        
 refactoring.
        
 
        
 
        
-sympy.tensor.index_methods.get_contraction_structure(expr)[source]
        
+sympy.tensor.index_methods.get_contraction_structure(expr)[source]
 
        Determine dummy indices of expr and describe its structure
        
 
        By dummy we mean indices that are summation indices.
        
 
        The structure of the expression is determined and described as follows:
        
@@ -911,7 +911,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.tensor.index_methods.get_indices(expr)[source]
        
+sympy.tensor.index_methods.get_indices(expr)[source]
 
        Determine the outer indices of expression expr
        
 
        By outer we mean indices that are not summation indices.  Returns a set
 and a dict.  The set contains outer indices and the dict contains
diff --git a/dev/modules/tensor/indexed.html b/dev/modules/tensor/indexed.html
index e420d510f8d..e5ea4230948 100644
--- a/dev/modules/tensor/indexed.html
+++ b/dev/modules/tensor/indexed.html
@@ -885,7 +885,7 @@ 
        Examples
 
 
        
 
        
-class sympy.tensor.indexed.Idx(label, range=None, **kw_args)[source]
        
+class sympy.tensor.indexed.Idx(label, range=None, **kw_args)[source]
 
        Represents an integer index as an Integer or integer expression.
        
 
        There are a number of ways to create an Idx object.  The constructor
 takes two arguments:
        
@@ -991,7 +991,7 @@ 
        Examples
 
 
        
 
        
-class sympy.tensor.indexed.Indexed(base, *args, **kw_args)[source]
        
+class sympy.tensor.indexed.Indexed(base, *args, **kw_args)[source]
 
        Represents a mathematical object with indices.
        
 
        >>> from sympy import Indexed, IndexedBase, Idx, symbols
 >>> i, j = symbols('i j', cls=Idx)
@@ -1110,7 +1110,7 @@ 
        Examples
 
        **kw_args,
        
 
        
 
-)[source]
+)[source]
 
        Represent the base or stem of an indexed object
        
 
        The IndexedBase class represent an array that contains elements. The main purpose
 of this class is to allow the convenient creation of objects of the Indexed
diff --git a/dev/modules/tensor/tensor.html b/dev/modules/tensor/tensor.html
index 17052b3f38e..a25271686fa 100644
--- a/dev/modules/tensor/tensor.html
+++ b/dev/modules/tensor/tensor.html
@@ -814,7 +814,7 @@ 
        Documentation Version
        
 
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        A TensorIndexType is characterized by its name and its metric.
        
 
        
 
        Parameters:
        
@@ -883,7 +883,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor.TensorIndex(name, tensor_index_type, is_up=True)[source]
        
+class sympy.tensor.tensor.TensorIndex(name, tensor_index_type, is_up=True)[source]
 
        Represents a tensor index
        
 
        
 
        Parameters:
        
@@ -945,7 +945,7 @@ 
        Documentation Version
        
 
        comm=0,
        
 
        
 
-)[source]
+)[source]
 
        Tensor head of the tensor.
        
 
        
 
        Parameters:
        
@@ -1064,7 +1064,7 @@ 
        Documentation Version
        
 
        
 
        
 
        
-commutes_with(other)[source]
        
+commutes_with(other)[source]
 
        Returns 0 if self and other commute, 1 if they anticommute.
        
 
        Returns None if self and other neither commute nor anticommute.
        
 
        
@@ -1082,13 +1082,13 @@ 
        Documentation Version
        
 
        comm=0,
        
 
        
 
-)[source]
+)[source]
 
        Returns a sequence of TensorHeads from a string \(s\)
        
 
        
 
 
        
 
        
-class sympy.tensor.tensor.TensExpr(*args)[source]
        
+class sympy.tensor.tensor.TensExpr(*args)[source]
 
        Abstract base class for tensor expressions
        
 
        Notes
        
 
        A tensor expression is an expression formed by tensors;
@@ -1103,7 +1103,7 @@ 
        Documentation Version
        
 
        Contracted indices are therefore nameless in the internal representation.
        
 
        
 
        
-get_matrix()[source]
        
+get_matrix()[source]
 
        DEPRECATED: do not use.
        
 
        Returns ndarray components data as a matrix, if components data are
 available and ndarray dimension does not exceed 2.
        
@@ -1118,7 +1118,7 @@ 
        Documentation Version
        
 
        indices=None,
        
 
        
 
-)[source]
+)[source]
 
        Replace the tensorial expressions with arrays. The final array will
 correspond to the N-dimensional array with indices arranged according
 to indices.
        
@@ -1193,7 +1193,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor.TensAdd(*args, **kw_args)[source]
        
+class sympy.tensor.tensor.TensAdd(*args, **kw_args)[source]
 
        Sum of tensors.
        
 
        
 
        Parameters:
        
@@ -1242,14 +1242,14 @@ 
        Documentation Version
        
 
        
 
        
 
        
-canon_bp()[source]
        
+canon_bp()[source]
 
        Canonicalize using the Butler-Portugal algorithm for canonicalization
 under monoterm symmetries.
        
 
        
 
 
        
 
        
-contract_metric(g)[source]
        
+contract_metric(g)[source]
 
        Raise or lower indices with the metric g.
        
 
        
 
        Parameters:
        
@@ -1265,7 +1265,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor.TensMul(*args, **kw_args)[source]
        
+class sympy.tensor.tensor.TensMul(*args, **kw_args)[source]
 
        Product of tensors.
        
 
        
 
        Parameters:
        
@@ -1319,7 +1319,7 @@ 
        Documentation Version
        
 
        
 
        
 
        
-canon_bp()[source]
        
+canon_bp()[source]
 
        Canonicalize using the Butler-Portugal algorithm for canonicalization
 under monoterm symmetries.
        
 
        Examples
        
@@ -1339,7 +1339,7 @@ 
        Documentation Version
        
 
 
        
 
        
-contract_metric(g)[source]
        
+contract_metric(g)[source]
 
        Raise or lower indices with the metric g.
        
 
        
 
        Parameters:
        
@@ -1365,7 +1365,7 @@ 
        Documentation Version
        
 
 
        
 
        
-get_free_indices() → list[TensorIndex][source]
        
+get_free_indices() → list[TensorIndex][source]
 
        Returns the list of free indices of the tensor.
        
 
        Explanation
        
 
        The indices are listed in the order in which they appear in the
@@ -1388,7 +1388,7 @@ 
        Documentation Version
        
 
 
        
 
        
-get_indices()[source]
        
+get_indices()[source]
 
        Returns the list of indices of the tensor.
        
 
        Explanation
        
 
        The indices are listed in the order in which they appear in the
@@ -1413,20 +1413,20 @@ 
        Documentation Version
        
 
 
        
 
        
-perm2tensor(g, is_canon_bp=False)[source]
        
+perm2tensor(g, is_canon_bp=False)[source]
 
        Returns the tensor corresponding to the permutation g
        
 
        For further details, see the method in TIDS with the same name.
        
 
        
 
 
        
 
        
-sorted_components()[source]
        
+sorted_components()[source]
 
        Returns a tensor product with sorted components.
        
 
        
 
 
        
 
        
-split()[source]
        
+split()[source]
 
        Returns a list of tensors, whose product is self.
        
 
        Explanation
        
 
        Dummy indices contracted among different tensor components
@@ -1450,21 +1450,21 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.tensor.tensor.canon_bp(p)[source]
        
+sympy.tensor.tensor.canon_bp(p)[source]
 
        Butler-Portugal canonicalization. See tensor_can.py from the
 combinatorics module for the details.
        
 
        
 
 
        
 
        
-sympy.tensor.tensor.riemann_cyclic_replace(t_r)[source]
        
+sympy.tensor.tensor.riemann_cyclic_replace(t_r)[source]
 
        replace Riemann tensor with an equivalent expression
        
 
        R(m,n,p,q) -> 2/3*R(m,n,p,q) - 1/3*R(m,q,n,p) + 1/3*R(m,p,n,q)
        
 
        
 
 
        
 
        
-sympy.tensor.tensor.riemann_cyclic(t2)[source]
        
+sympy.tensor.tensor.riemann_cyclic(t2)[source]
 
        Replace each Riemann tensor with an equivalent expression
 satisfying the cyclic identity.
        
 
        This trick is discussed in the reference guide to Cadabra.
        
@@ -1482,7 +1482,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor.TensorSymmetry(*args, **kw_args)[source]
        
+class sympy.tensor.tensor.TensorSymmetry(*args, **kw_args)[source]
 
        Monoterm symmetry of a tensor (i.e. any symmetric or anti-symmetric
 index permutation). For the relevant terminology see tensor_can.py
 section of the combinatorics module.
        
@@ -1533,7 +1533,7 @@ 
        Documentation Version
        
 
        
 
        
 
        
-classmethod direct_product(*args)[source]
        
+classmethod direct_product(*args)[source]
 
        Returns a TensorSymmetry object that is being a direct product of
 fully (anti-)symmetric index permutation groups.
        
 
        Notes
        
@@ -1547,20 +1547,20 @@ 
        Documentation Version
        
 
 
        
 
        
-classmethod fully_symmetric(rank)[source]
        
+classmethod fully_symmetric(rank)[source]
 
        Returns a fully symmetric (antisymmetric if rank``<0)
 TensorSymmetry object for ``abs(rank) indices.
        
 
        
 
 
        
 
        
-classmethod no_symmetry(rank)[source]
        
+classmethod no_symmetry(rank)[source]
 
        TensorSymmetry object for rank indices with no symmetry
        
 
        
 
 
        
 
        
-classmethod riemann()[source]
        
+classmethod riemann()[source]
 
        Returns a monotorem symmetry of the Riemann tensor
        
 
        
 
@@ -1568,7 +1568,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.tensor.tensor.tensorsymmetry(*args)[source]
        
+sympy.tensor.tensor.tensorsymmetry(*args)[source]
 
        Returns a TensorSymmetry object. This method is deprecated, use
 TensorSymmetry.direct_product() or .riemann() instead.
        
 
        Explanation
        
@@ -1597,7 +1597,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor.TensorType(*args, **kwargs)[source]
        
+class sympy.tensor.tensor.TensorType(*args, **kwargs)[source]
 
        Class of tensor types. Deprecated, use tensor_heads() instead.
        
 
        
 
        Parameters:
        
@@ -1625,7 +1625,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.tensor.tensor._TensorManager[source]
        
+class sympy.tensor.tensor._TensorManager[source]
 
        Class to manage tensor properties.
        
 
        Notes
        
 
        Tensors belong to tensor commutation groups; each group has a label
@@ -1638,19 +1638,19 @@ 
        Documentation Version
        
 do not commute with any other group.
        
 
        
 
        
-clear()[source]
        
+clear()[source]
 
        Clear the TensorManager.
        
 
        
 
 
        
 
        
-comm_i2symbol(i)[source]
        
+comm_i2symbol(i)[source]
 
        Returns the symbol corresponding to the commutation group number.
        
 
        
 
 
        
 
        
-comm_symbols2i(i)[source]
        
+comm_symbols2i(i)[source]
 
        Get the commutation group number corresponding to i.
        
 
        i can be a symbol or a number or a string.
        
 
        If i is not already defined its commutation group number
@@ -1659,14 +1659,14 @@ 
        Documentation Version
        
 
 
        
 
        
-get_comm(i, j)[source]
        
+get_comm(i, j)[source]
 
        Return the commutation parameter for commutation group numbers i, j
        
 
        see _TensorManager.set_comm
        
 
        
 
 
        
 
        
-set_comm(i, j, c)[source]
        
+set_comm(i, j, c)[source]
 
        Set the commutation parameter c for commutation groups i, j.
        
 
        
 
        Parameters:
        
@@ -1708,7 +1708,7 @@ 
        Documentation Version
        
 
 
        
 
        
-set_comms(*args)[source]
        
+set_comms(*args)[source]
 
        Set the commutation group numbers c for symbols i, j.
        
 
        
 
        Parameters:
        
diff --git a/dev/modules/tensor/toperators.html b/dev/modules/tensor/toperators.html
index ce0472af0ad..01daad85469 100644
--- a/dev/modules/tensor/toperators.html
+++ b/dev/modules/tensor/toperators.html
@@ -802,7 +802,7 @@ 
        Documentation Version
        
 
        Tensor Operators
        
 
        
 
        
-class sympy.tensor.toperators.PartialDerivative(expr, *variables)[source]
        
+class sympy.tensor.toperators.PartialDerivative(expr, *variables)[source]
 
        Partial derivative for tensor expressions.
        
 
        Examples
        
 
        >>> from sympy.tensor.tensor import TensorIndexType, TensorHead
diff --git a/dev/modules/testing/pytest.html b/dev/modules/testing/pytest.html
index f16040687ee..16ff1e6a007 100644
--- a/dev/modules/testing/pytest.html
+++ b/dev/modules/testing/pytest.html
@@ -803,19 +803,19 @@ 
        Documentation Version
        
 
        py.test hacks to support XFAIL/XPASS
        
 
        
 
        
-sympy.testing.pytest.SKIP(reason)[source]
        
+sympy.testing.pytest.SKIP(reason)[source]
 
        Similar to skip(), but this is a decorator.
        
 
        
 
 
        
 
        
-sympy.testing.pytest.nocache_fail(func)[source]
        
+sympy.testing.pytest.nocache_fail(func)[source]
 
        Dummy decorator for marking tests that fail when cache is disabled
        
 
        
 
 
        
 
        
-sympy.testing.pytest.raises(expectedException, code=None)[source]
        
+sympy.testing.pytest.raises(expectedException, code=None)[source]
 
        Tests that code raises the exception expectedException.
        
 
        code may be a callable, such as a lambda expression or function
 name.
        
@@ -867,7 +867,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.pytest.skip_under_pyodide(message)[source]
        
+sympy.testing.pytest.skip_under_pyodide(message)[source]
 
        Decorator to skip a test if running under pyodide.
        
 
        
 
@@ -882,7 +882,7 @@ 
        Documentation Version
        
 
        test_stacklevel=True,
        
 
        
 
-)[source]
+)[source]
 
        Like raises but tests that warnings are emitted.
        
 
        >>> from sympy.testing.pytest import warns
 >>> import warnings
@@ -911,7 +911,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.pytest.warns_deprecated_sympy()[source]
        
+sympy.testing.pytest.warns_deprecated_sympy()[source]
 
        Shorthand for warns(SymPyDeprecationWarning)
        
 
        This is the recommended way to test that SymPyDeprecationWarning is
 emitted for deprecated features in SymPy. To test for other warnings use
diff --git a/dev/modules/testing/runtests.html b/dev/modules/testing/runtests.html
index 52aeb852e78..2945ff1a5f9 100644
--- a/dev/modules/testing/runtests.html
+++ b/dev/modules/testing/runtests.html
@@ -822,7 +822,7 @@ 
        Documentation Version
        
 
        split=None,
        
 
        
 
-)[source]
+)[source]
 
        Py.test like reporter. Should produce output identical to py.test.
        
 
        
 
        
@@ -836,7 +836,7 @@ 
        Documentation Version
        
 
        force_colors=False,
        
 
        
 
-)[source]
+)[source]
 
        Prints a text on the screen.
        
 
        It uses sys.stdout.write(), so no readline library is necessary.
        
 
        
@@ -856,7 +856,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.testing.runtests.Reporter[source]
        
+class sympy.testing.runtests.Reporter[source]
 
        Parent class for all reporters.
        
 
        
 
@@ -871,7 +871,7 @@ 
        Documentation Version
        
 
        exclude_empty=True,
        
 
        
 
-)[source]
+)[source]
 
        A class used to extract the DocTests that are relevant to a given
 object, from its docstring and the docstrings of its contained
 objects.  Doctests can currently be extracted from the following
@@ -893,7 +893,7 @@ 
        Documentation Version
        
 
        optionflags=0,
        
 
        
 
-)[source]
+)[source]
 
        A class used to run DocTest test cases, and accumulate statistics.
 The run method is used to process a single DocTest case.  It
 returns a tuple (f, t), where t is the number of test cases
@@ -912,7 +912,7 @@ 
        Documentation Version
        
 
        clear_globs=True,
        
 
        
 
-)[source]
+)[source]
 
        Run the examples in test, and display the results using the
 writer function out.
        
 
        The examples are run in the namespace test.globs.  If
@@ -933,7 +933,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.testing.runtests.SymPyOutputChecker[source]
        
+class sympy.testing.runtests.SymPyOutputChecker[source]
 
        Compared to the OutputChecker from the stdlib our OutputChecker class
 supports numerical comparison of floats occurring in the output of the
 doctest examples
        
@@ -947,7 +947,7 @@ 
        Documentation Version
        
 
        optionflags,
        
 
        
 
-)[source]
+)[source]
 
        Return True iff the actual output from an example (\(got\))
 matches the expected output (\(want\)).  These strings are
 always considered to match if they are identical; but
@@ -961,7 +961,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.testing.runtests.SymPyTestResults(failed, attempted)[source]
        
+class sympy.testing.runtests.SymPyTestResults(failed, attempted)[source]
 
        
 
        
 attempted
        
@@ -978,7 +978,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.runtests.convert_to_native_paths(lst)[source]
        
+sympy.testing.runtests.convert_to_native_paths(lst)[source]
 
        Converts a list of ‘/’ separated paths into a list of
 native (os.sep separated) paths and converts to lowercase
 if the system is case insensitive.
        
@@ -995,7 +995,7 @@ 
        Documentation Version
        
 
        **kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Runs doctests in all *.py files in the SymPy directory which match
 any of the given strings in paths or all tests if paths=[].
        
 
        Notes:
        
@@ -1044,14 +1044,14 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.runtests.get_sympy_dir()[source]
        
+sympy.testing.runtests.get_sympy_dir()[source]
 
        Returns the root SymPy directory and set the global value
 indicating whether the system is case sensitive or not.
        
 
        
 
 
        
 
        
-sympy.testing.runtests.raise_on_deprecated()[source]
        
+sympy.testing.runtests.raise_on_deprecated()[source]
 
        Context manager to make DeprecationWarning raise an error
        
 
        This is to catch SymPyDeprecationWarning from library code while running
 tests and doctests. It is important to use this context manager around
@@ -1072,7 +1072,7 @@ 
        Documentation Version
        
 
        examples_kwargs=None,
        
 
        
 
-)[source]
+)[source]
 
        Run all tests.
        
 
        Right now, this runs the regular tests (bin/test), the doctests
 (bin/doctest), and the examples (examples/all.py).
        
@@ -1101,7 +1101,7 @@ 
        Documentation Version
        
 
        force=False,
        
 
        
 
-)[source]
+)[source]
 
        Run a function in a Python subprocess with hash randomization enabled.
        
 
        If hash randomization is not supported by the version of Python given, it
 returns False.  Otherwise, it returns the exit value of the command.  The
@@ -1144,7 +1144,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.runtests.split_list(l, split, density=None)[source]
        
+sympy.testing.runtests.split_list(l, split, density=None)[source]
 
        Splits a list into part a of b
        
 
        split should be a string of the form ‘a/b’. For instance, ‘1/3’ would give
 the split one of three.
        
@@ -1184,7 +1184,7 @@ 
        Documentation Version
        
 
        encoding=None,
        
 
        
 
-)[source]
+)[source]
 
        Test examples in the given file.  Return (#failures, #tests).
        
 
        Optional keyword arg module_relative specifies how filenames
 should be interpreted:
        
@@ -1252,7 +1252,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.testing.runtests.test(*paths, subprocess=True, rerun=0, **kwargs)[source]
        
+sympy.testing.runtests.test(*paths, subprocess=True, rerun=0, **kwargs)[source]
 
        Run tests in the specified test_*.py files.
        
 
        Tests in a particular test_*.py file are run if any of the given strings
 in paths matches a part of the test file’s path. If paths=[],
diff --git a/dev/modules/utilities/autowrap.html b/dev/modules/utilities/autowrap.html
index 83c5760ec6f..524002a9b30 100644
--- a/dev/modules/utilities/autowrap.html
+++ b/dev/modules/utilities/autowrap.html
@@ -937,17 +937,17 @@ 
        Implementation detailsverbose=False,
        
 
        
 
-)[source]
+)[source]
 
        Base Class for code wrappers
        
 
        
 
 
        
 
        
-class sympy.utilities.autowrap.CythonCodeWrapper(*args, **kwargs)[source]
        
+class sympy.utilities.autowrap.CythonCodeWrapper(*args, **kwargs)[source]
 
        Wrapper that uses Cython
        
 
        
 
        
-dump_pyx(routines, f, prefix)[source]
        
+dump_pyx(routines, f, prefix)[source]
 
        Write a Cython file with Python wrappers
        
 
        This file contains all the definitions of the routines in c code and
 refers to the header file.
        
@@ -976,19 +976,19 @@ 
        Implementation detailsverbose=False,
        
 
        
 
-)[source]
+)[source]
 
        Class used for testing independent of backends
        
 
        
 
 
        
 
        
-class sympy.utilities.autowrap.F2PyCodeWrapper(*args, **kwargs)[source]
        
+class sympy.utilities.autowrap.F2PyCodeWrapper(*args, **kwargs)[source]
 
        Wrapper that uses f2py
        
 
        
 
 
        
 
        
-class sympy.utilities.autowrap.UfuncifyCodeWrapper(*args, **kwargs)[source]
        
+class sympy.utilities.autowrap.UfuncifyCodeWrapper(*args, **kwargs)[source]
 
        Wrapper for Ufuncify
        
 
        
 
        
@@ -1001,7 +1001,7 @@ 
        Implementation detailsfuncname=None,
        
 
        
 
-)[source]
+)[source]
 
        Write a C file with Python wrappers
        
 
        This file contains all the definitions of the routines in c code.
        
 
        Arguments
        
@@ -1036,7 +1036,7 @@ 
        Implementation details**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Generates Python callable binaries based on the math expression.
        
 
        
 
        Parameters:
        
@@ -1131,7 +1131,7 @@ 
        Implementation details
 
        
-sympy.utilities.autowrap.binary_function(symfunc, expr, **kwargs)[source]
        
+sympy.utilities.autowrap.binary_function(symfunc, expr, **kwargs)[source]
 
        Returns a SymPy function with expr as binary implementation
        
 
        This is a convenience function that automates the steps needed to
 autowrap the SymPy expression and attaching it to a Function object
@@ -1183,7 +1183,7 @@ 
        Implementation details**kwargs,
        
 
        
 
-)[source]
+)[source]
 
        Generates a binary function that supports broadcasting on numpy arrays.
        
 
        
 
        Parameters:
        
diff --git a/dev/modules/utilities/codegen.html b/dev/modules/utilities/codegen.html
index 6d77dd41431..066ece2494e 100644
--- a/dev/modules/utilities/codegen.html
+++ b/dev/modules/utilities/codegen.html
@@ -924,7 +924,7 @@ 
        Routine
        precision=None,
        
 
        
 
-)[source]
+)[source]
 
        An abstract Argument data structure: a name and a data type.
        
 
        This structure is refined in the descendants below.
        
 
        
@@ -940,7 +940,7 @@ 
        Routine
        cse=False,
        
 
        
 
-)[source]
+)[source]
 
        Generator for C code.
        
 
        The .write() method inherited from CodeGen will output a code file and
 an interface file, <prefix>.c and <prefix>.h respectively.
        
@@ -956,7 +956,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1001,7 +1001,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Writes the C header file.
        
 
        This file contains all the function declarations.
        
 
        
@@ -1035,7 +1035,7 @@ 
        Routine
        
 
        
-get_prototype(routine)[source]
        
+get_prototype(routine)[source]
 
        Returns a string for the function prototype of the routine.
        
 
        If the routine has multiple result objects, an CodeGenError is
 raised.
        
@@ -1046,7 +1046,7 @@ 
        Routine
        
 
        
-class sympy.utilities.codegen.CodeGen(project='project', cse=False)[source]
        
+class sympy.utilities.codegen.CodeGen(project='project', cse=False)[source]
 
        Abstract class for the code generators.
        
 
        
 
        
@@ -1060,7 +1060,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1104,7 +1104,7 @@ 
        Routine
        global_vars=None,
        
 
        
 
-)[source]
+)[source]
 
        Creates an Routine object that is appropriate for this language.
        
 
        This implementation is appropriate for at least C/Fortran.  Subclasses
 can override this if necessary.
        
@@ -1128,7 +1128,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Writes all the source code files for the given routines.
        
 
        The generated source is returned as a list of (filename, contents)
 tuples, or is written to files (see below).  Each filename consists
@@ -1177,13 +1177,13 @@ 
        Routine
        rsname,
        
 
        
 
-)[source]
+)[source]
 
        Holds strings for a certain datatype in different languages.
        
 
        
 
 
        
 
        
-class sympy.utilities.codegen.FCodeGen(project='project', printer=None)[source]
        
+class sympy.utilities.codegen.FCodeGen(project='project', printer=None)[source]
 
        Generator for Fortran 95 code
        
 
        The .write() method inherited from CodeGen will output a code file and
 an interface file, <prefix>.f90 and <prefix>.h respectively.
        
@@ -1199,7 +1199,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1244,7 +1244,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Writes the interface to a header file.
        
 
        This file contains all the function declarations.
        
 
        
@@ -1277,7 +1277,7 @@ 
        Routine
        
 
        
-get_interface(routine)[source]
        
+get_interface(routine)[source]
 
        Returns a string for the function interface.
        
 
        The routine should have a single result object, which can be None.
 If the routine has multiple result objects, a CodeGenError is
@@ -1289,7 +1289,7 @@ 
        Routine
        
 
        
-class sympy.utilities.codegen.JuliaCodeGen(project='project', printer=None)[source]
        
+class sympy.utilities.codegen.JuliaCodeGen(project='project', printer=None)[source]
 
        Generator for Julia code.
        
 
        The .write() method inherited from CodeGen will output a code file
 <prefix>.jl.
        
@@ -1305,7 +1305,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1349,7 +1349,7 @@ 
        Routine
        global_vars,
        
 
        
 
-)[source]
+)[source]
 
        Specialized Routine creation for Julia.
        
 
        
 
@@ -1357,7 +1357,7 @@ 
        Routine
        
 
        
-class sympy.utilities.codegen.OctaveCodeGen(project='project', printer=None)[source]
        
+class sympy.utilities.codegen.OctaveCodeGen(project='project', printer=None)[source]
 
        Generator for Octave code.
        
 
        The .write() method inherited from CodeGen will output a code file
 <prefix>.m.
        
@@ -1380,7 +1380,7 @@ 
        Routine
        inline=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1424,7 +1424,7 @@ 
        Routine
        global_vars,
        
 
        
 
-)[source]
+)[source]
 
        Specialized Routine creation for Octave.
        
 
        
 
@@ -1443,7 +1443,7 @@ 
        Routine
        precision=None,
        
 
        
 
-)[source]
+)[source]
 
        OutputArgument are always initialized in the routine.
        
 
        
 
@@ -1460,7 +1460,7 @@ 
        Routine
        precision=None,
        
 
        
 
-)[source]
+)[source]
 
        An expression for a return value.
        
 
        The name result is used to avoid conflicts with the reserved word
 “return” in the Python language.  It is also shorter than ReturnValue.
        
@@ -1480,7 +1480,7 @@ 
        Routine
        global_vars,
        
 
        
 
-)[source]
+)[source]
 
        Generic description of evaluation routine for set of expressions.
        
 
        A CodeGen class can translate instances of this class into code in a
 particular language.  The routine specification covers all the features
@@ -1508,7 +1508,7 @@ 
        Routine
        
 
        
-class sympy.utilities.codegen.RustCodeGen(project='project', printer=None)[source]
        
+class sympy.utilities.codegen.RustCodeGen(project='project', printer=None)[source]
 
        Generator for Rust code.
        
 
        The .write() method inherited from CodeGen will output a code file
 <prefix>.rs
        
@@ -1524,7 +1524,7 @@ 
        Routine
        empty=True,
        
 
        
 
-)[source]
+)[source]
 
        Write the code by calling language specific methods.
        
 
        The generated file contains all the definitions of the routines in
 low-level code and refers to the header file if appropriate.
        
@@ -1559,7 +1559,7 @@ 
        Routine
        
 
        
-get_prototype(routine)[source]
        
+get_prototype(routine)[source]
 
        Returns a string for the function prototype of the routine.
        
 
        If the routine has multiple result objects, an CodeGenError is
 raised.
        
@@ -1577,7 +1577,7 @@ 
        Routine
        global_vars,
        
 
        
 
-)[source]
+)[source]
 
        Specialized Routine creation for Rust.
        
 
        
 
@@ -1602,7 +1602,7 @@ 
        Routine
        printer=None,
        
 
        
 
-)[source]
+)[source]
 
        Generate source code for expressions in a given language.
        
 
        
 
        Parameters:
        
@@ -1740,7 +1740,7 @@ 
        Routine
        
 
        
-sympy.utilities.codegen.get_default_datatype(expr, complex_allowed=None)[source]
        
+sympy.utilities.codegen.get_default_datatype(expr, complex_allowed=None)[source]
 
        Derives an appropriate datatype based on the expression.
        
 
        
 
@@ -1756,7 +1756,7 @@ 
        Routine
        language='F95',
        
 
        
 
-)[source]
+)[source]
 
        A factory that makes an appropriate Routine from an expression.
        
 
        
 
        Parameters:
        
diff --git a/dev/modules/utilities/decorator.html b/dev/modules/utilities/decorator.html
index a904d6e396d..2589dcdcfca 100644
--- a/dev/modules/utilities/decorator.html
+++ b/dev/modules/utilities/decorator.html
@@ -813,7 +813,7 @@ 
        Documentation Version
        
 
        stacklevel=3,
        
 
        
 
-)[source]
+)[source]
 
        Mark a function as deprecated.
        
 
        This decorator should be used if an entire function or class is
 deprecated. If only a certain functionality is deprecated, you should use
@@ -869,7 +869,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.decorator.conserve_mpmath_dps(func)[source]
        
+sympy.utilities.decorator.conserve_mpmath_dps(func)[source]
 
        After the function finishes, resets the value of mpmath.mp.dps to
 the value it had before the function was run.
        
 
        
@@ -886,7 +886,7 @@ 
        Documentation Version
        
 
        ground_types=None,
        
 
        
 
-)[source]
+)[source]
 
        Adds metadata about the dependencies which need to be met for doctesting
 the docstrings of the decorated objects.
        
 
        exe should be a list of executables
        
@@ -898,7 +898,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.decorator.memoize_property(propfunc)[source]
        
+sympy.utilities.decorator.memoize_property(propfunc)[source]
 
        Property decorator that caches the value of potentially expensive
 propfunc after the first evaluation. The cached value is stored in
 the corresponding property name with an attached underscore.
        
@@ -906,7 +906,7 @@ 
        Documentation Version
        
 
 
        
 
        
-class sympy.utilities.decorator.no_attrs_in_subclass(cls, f)[source]
        
+class sympy.utilities.decorator.no_attrs_in_subclass(cls, f)[source]
 
        Don’t ‘inherit’ certain attributes from a base class
        
 
        >>> from sympy.utilities.decorator import no_attrs_in_subclass
 
        
@@ -932,7 +932,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.decorator.public(obj)[source]
        
+sympy.utilities.decorator.public(obj)[source]
 
        Append obj’s name to global __all__ variable (call site).
        
 
        By using this decorator on functions or classes you achieve the same goal
 as by filling __all__ variables manually, you just do not have to repeat
@@ -965,7 +965,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.decorator.threaded(func)[source]
        
+sympy.utilities.decorator.threaded(func)[source]
 
        Apply func to sub–elements of an object, including Add.
        
 
        This decorator is intended to make it uniformly possible to apply a
 function to all elements of composite objects, e.g. matrices, lists, tuples
@@ -982,13 +982,13 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.decorator.threaded_factory(func, use_add)[source]
        
+sympy.utilities.decorator.threaded_factory(func, use_add)[source]
 
        A factory for threaded decorators.
        
 
        
 
 
        
 
        
-sympy.utilities.decorator.xthreaded(func)[source]
        
+sympy.utilities.decorator.xthreaded(func)[source]
 
        Apply func to sub–elements of an object, excluding Add.
        
 
        This decorator is intended to make it uniformly possible to apply a
 function to all elements of composite objects, e.g. matrices, lists, tuples
diff --git a/dev/modules/utilities/enumerative.html b/dev/modules/utilities/enumerative.html
index b608fe2d083..88c88895e3f 100644
--- a/dev/modules/utilities/enumerative.html
+++ b/dev/modules/utilities/enumerative.html
@@ -804,7 +804,7 @@ 
        Documentation Version
        
 counting multiset partitions.
        
 
        
 
        
-sympy.utilities.enumerative.multiset_partitions_taocp(multiplicities)[source]
        
+sympy.utilities.enumerative.multiset_partitions_taocp(multiplicities)[source]
 
        Enumerates partitions of a multiset.
        
 
        
 
        Parameters:
        
@@ -867,7 +867,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.enumerative.factoring_visitor(state, primes)[source]
        
+sympy.utilities.enumerative.factoring_visitor(state, primes)[source]
 
        Use with multiset_partitions_taocp to enumerate the ways a
 number can be expressed as a product of factors.  For this usage,
 the exponents of the prime factors of a number are arguments to
@@ -894,7 +894,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.enumerative.list_visitor(state, components)[source]
        
+sympy.utilities.enumerative.list_visitor(state, components)[source]
 
        Return a list of lists to represent the partition.
        
 
        Examples
        
 
        >>> from sympy.utilities.enumerative import list_visitor
@@ -914,7 +914,7 @@ 
        Documentation Version
        
 and generalized by the class MultisetPartitionTraverser.
        
 
        
 
        
-class sympy.utilities.enumerative.MultisetPartitionTraverser[source]
        
+class sympy.utilities.enumerative.MultisetPartitionTraverser[source]
 
        Has methods to enumerate and count the partitions of a multiset.
        
 
        This implements a refactored and extended version of Knuth’s algorithm
 7.1.2.5M [AOCP].”
        
@@ -964,7 +964,7 @@ 
        Documentation Version
        
 
        multiplicities,
        
 
        
 
-)[source]
+)[source]
 
        Returns the number of partitions of a multiset whose components
 have the multiplicities given in multiplicities.
        
 
        For larger counts, this method is much faster than calling one
@@ -1035,7 +1035,7 @@ 
        Documentation Version
        
 
        multiplicities,
        
 
        
 
-)[source]
+)[source]
 
        Enumerate the partitions of a multiset.
        
 
        Examples
        
 
        >>> from sympy.utilities.enumerative import list_visitor
@@ -1072,7 +1072,7 @@ 
        Documentation Version
        
 
        lb,
        
 
        
 
-)[source]
+)[source]
 
        Enumerate the partitions of a multiset with lb < num(parts)
        
 
        Equivalent to enum_range(multiplicities, lb, sum(multiplicities))
        
 
        
@@ -1116,7 +1116,7 @@ 
        Documentation Version
        
 
        ub,
        
 
        
 
-)[source]
+)[source]
 
        Enumerate the partitions of a multiset with
 lb < num(parts) <= ub.
        
 
        In particular, if partitions with exactly k parts are
@@ -1145,7 +1145,7 @@ 
        Documentation Version
        
 
        ub,
        
 
        
 
-)[source]
+)[source]
 
        Enumerate multiset partitions with no more than ub parts.
        
 
        Equivalent to enum_range(multiplicities, 0, ub)
        
 
        
diff --git a/dev/modules/utilities/exceptions.html b/dev/modules/utilities/exceptions.html
index a8dcbe029f4..e4436be3fe1 100644
--- a/dev/modules/utilities/exceptions.html
+++ b/dev/modules/utilities/exceptions.html
@@ -812,7 +812,7 @@ 
        Documentation Version
        
 
        active_deprecations_target,
        
 
        
 
-)[source]
+)[source]
 
        A warning for deprecated features of SymPy.
        
 
        See the Deprecation Policy document for details on when and how
 things should be deprecated in SymPy.
        
@@ -843,7 +843,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.exceptions.ignore_warnings(warningcls)[source]
        
+sympy.utilities.exceptions.ignore_warnings(warningcls)[source]
 
        Context manager to suppress warnings during tests.
        
 
        
 
        Note
        
@@ -898,7 +898,7 @@ 
        Documentation Version
        
 
        stacklevel=3,
        
 
        
 
-)[source]
+)[source]
 
        Warn that a feature is deprecated in SymPy.
        
 
        See the Deprecation Policy document for details on when and how
 things should be deprecated in SymPy.
        
diff --git a/dev/modules/utilities/iterables.html b/dev/modules/utilities/iterables.html
index b0eb024d176..58f58aac8bf 100644
--- a/dev/modules/utilities/iterables.html
+++ b/dev/modules/utilities/iterables.html
@@ -802,7 +802,7 @@ 
        Documentation Version
        
 
        Iterables
        
 
        
 
        
-class sympy.utilities.iterables.NotIterable[source]
        
+class sympy.utilities.iterables.NotIterable[source]
 
        Use this as mixin when creating a class which is not supposed to
 return true when iterable() is called on its instances because
 calling list() on the instance, for example, would result in
@@ -811,7 +811,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.binary_partitions(n)[source]
        
+sympy.utilities.iterables.binary_partitions(n)[source]
 
        Generates the binary partition of n.
        
 
        A binary partition consists only of numbers that are
 powers of two. Each step reduces a \(2^{k+1}\) to \(2^k\) and
@@ -838,13 +838,13 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.bracelets(n, k)[source]
        
+sympy.utilities.iterables.bracelets(n, k)[source]
 
        Wrapper to necklaces to return a free (unrestricted) necklace.
        
 
        
 
 
        
 
        
-sympy.utilities.iterables.capture(func)[source]
        
+sympy.utilities.iterables.capture(func)[source]
 
        Return the printed output of func().
        
 
        func should be a function without arguments that produces output with
 print statements.
        
@@ -864,7 +864,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.common_prefix(*seqs)[source]
        
+sympy.utilities.iterables.common_prefix(*seqs)[source]
 
        Return the subsequence that is a common start of sequences in seqs.
        
 
        >>> from sympy.utilities.iterables import common_prefix
 >>> common_prefix(list(range(3)))
@@ -881,7 +881,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.common_suffix(*seqs)[source]
        
+sympy.utilities.iterables.common_suffix(*seqs)[source]
 
        Return the subsequence that is a common ending of sequences in seqs.
        
 
        >>> from sympy.utilities.iterables import common_suffix
 >>> common_suffix(list(range(3)))
@@ -898,7 +898,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.connected_components(G)[source]
        
+sympy.utilities.iterables.connected_components(G)[source]
 
        Connected components of an undirected graph or weakly connected components
 of a directed graph.
        
 
        
@@ -959,13 +959,13 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.dict_merge(*dicts)[source]
        
+sympy.utilities.iterables.dict_merge(*dicts)[source]
 
        Merge dictionaries into a single dictionary.
        
 
        
 
 
        
 
        
-sympy.utilities.iterables.filter_symbols(iterator, exclude)[source]
        
+sympy.utilities.iterables.filter_symbols(iterator, exclude)[source]
 
        Only yield elements from \(iterator\) that do not occur in \(exclude\).
        
 
        
 
        Parameters:
        
@@ -989,7 +989,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.flatten(iterable, levels=None, cls=None)[source]
        
+sympy.utilities.iterables.flatten(iterable, levels=None, cls=None)[source]
 
        Recursively denest iterable containers.
        
 
        >>> from sympy import flatten
 
        
@@ -1029,7 +1029,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.generate_bell(n)[source]
        
+sympy.utilities.iterables.generate_bell(n)[source]
 
        Return permutations of [0, 1, …, n - 1] such that each permutation
 differs from the last by the exchange of a single pair of neighbors.
 The n! permutations are returned as an iterator. In order to obtain
@@ -1103,7 +1103,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.generate_derangements(s)[source]
        
+sympy.utilities.iterables.generate_derangements(s)[source]
 
        Return unique derangements of the elements of iterable s.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import generate_derangements
@@ -1123,7 +1123,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.generate_involutions(n)[source]
        
+sympy.utilities.iterables.generate_involutions(n)[source]
 
        Generates involutions.
        
 
        An involution is a permutation that when multiplied
 by itself equals the identity permutation. In this
@@ -1151,7 +1151,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.generate_oriented_forest(n)[source]
        
+sympy.utilities.iterables.generate_oriented_forest(n)[source]
 
        This algorithm generates oriented forests.
        
 
        An oriented graph is a directed graph having no symmetric pair of directed
 edges. A forest is an acyclic graph, i.e., it has no cycles. A forest can
@@ -1179,7 +1179,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.group(seq, multiple=True)[source]
        
+sympy.utilities.iterables.group(seq, multiple=True)[source]
 
        Splits a sequence into a list of lists of equal, adjacent elements.
        
 
        Examples
        
 
        >>> from sympy import group
@@ -1201,7 +1201,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.has_dups(seq)[source]
        
+sympy.utilities.iterables.has_dups(seq)[source]
 
        Return True if there are any duplicate elements in seq.
        
 
        Examples
        
 
        >>> from sympy import has_dups, Dict, Set
@@ -1217,7 +1217,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.has_variety(seq)[source]
        
+sympy.utilities.iterables.has_variety(seq)[source]
 
        Return True if there are any different elements in seq.
        
 
        Examples
        
 
        >>> from sympy import has_variety
@@ -1233,7 +1233,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.ibin(n, bits=None, str=False)[source]
        
+sympy.utilities.iterables.ibin(n, bits=None, str=False)[source]
 
        Return a list of length bits corresponding to the binary value
 of n with small bits to the right (last). If bits is omitted, the
 length will be the number required to represent n. If the bits are
@@ -1276,7 +1276,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.iproduct(*iterables)[source]
        
+sympy.utilities.iterables.iproduct(*iterables)[source]
 
        Cartesian product of iterables.
        
 
        Generator of the Cartesian product of iterables. This is analogous to
 itertools.product except that it works with infinite iterables and will
@@ -1303,7 +1303,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.is_palindromic(s, i=0, j=None)[source]
        
+sympy.utilities.iterables.is_palindromic(s, i=0, j=None)[source]
 
        Return True if the sequence is the same from left to right as it
 is from right to left in the whole sequence (default) or in the
 Python slice s[i: j]; else False.
        
@@ -1336,7 +1336,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.is_sequence(i, include=None)[source]
        
+sympy.utilities.iterables.is_sequence(i, include=None)[source]
 
        Return a boolean indicating whether i is a sequence in the SymPy
 sense. If anything that fails the test below should be included as
 being a sequence for your application, set ‘include’ to that object’s
@@ -1377,7 +1377,7 @@ 
        Documentation Version
        
 
        <class 'sympy.utilities.iterables.NotIterable'>),
        
 
        
 
-)[source]
+)[source]
 
        Return a boolean indicating whether i is SymPy iterable.
 True also indicates that the iterator is finite, e.g. you can
 call list(…) on the instance.
        
@@ -1421,7 +1421,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.kbins(l, k, ordered=None)[source]
        
+sympy.utilities.iterables.kbins(l, k, ordered=None)[source]
 
        Return sequence l partitioned into k bins.
        
 
        Examples
        
 
        The default is to give the items in the same order, but grouped
@@ -1501,7 +1501,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.least_rotation(x, key=None)[source]
        
+sympy.utilities.iterables.least_rotation(x, key=None)[source]
 
        Returns the number of steps of left rotation required to
 obtain lexicographically minimal string/list/tuple, etc.
        
 
        Examples
        
@@ -1524,7 +1524,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.minlex(seq, directed=True, key=None)[source]
        
+sympy.utilities.iterables.minlex(seq, directed=True, key=None)[source]
 
        Return the rotation of the sequence in which the lexically smallest
 elements appear first, e.g. \(cba \rightarrow acb\).
        
 
        The sequence returned is a tuple, unless the input sequence is a string
@@ -1558,7 +1558,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.multiset(seq)[source]
        
+sympy.utilities.iterables.multiset(seq)[source]
 
        Return the hashable sequence in multiset form with values being the
 multiplicity of the item in the sequence.
        
 
        Examples
        
@@ -1575,7 +1575,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.multiset_combinations(m, n, g=None)[source]
        
+sympy.utilities.iterables.multiset_combinations(m, n, g=None)[source]
 
        Return the unique combinations of size n from multiset m.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import multiset_combinations
@@ -1602,7 +1602,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.multiset_derangements(s)[source]
        
+sympy.utilities.iterables.multiset_derangements(s)[source]
 
        Generate derangements of the elements of s in place.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import multiset_derangements, uniq
@@ -1623,7 +1623,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.multiset_partitions(multiset, m=None)[source]
        
+sympy.utilities.iterables.multiset_partitions(multiset, m=None)[source]
 
        Return unique partitions of the given multiset (in list form).
 If m is None, all multisets will be returned, otherwise only
 partitions with m parts will be returned.
        
@@ -1687,7 +1687,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.multiset_permutations(m, size=None, g=None)[source]
        
+sympy.utilities.iterables.multiset_permutations(m, size=None, g=None)[source]
 
        Return the unique permutations of multiset m.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import multiset_permutations
@@ -1704,7 +1704,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.necklaces(n, k, free=False)[source]
        
+sympy.utilities.iterables.necklaces(n, k, free=False)[source]
 
        A routine to generate necklaces that may (free=True) or may not
 (free=False) be turned over to be viewed. The “necklaces” returned
 are comprised of n integers (beads) with k different
@@ -1765,7 +1765,7 @@ 
        Documentation Version
        
 
        **assumptions,
        
 
        
 
-)[source]
+)[source]
 
        Generate an infinite stream of Symbols consisting of a prefix and
 increasing subscripts provided that they do not occur in exclude.
        
 
        
@@ -1804,7 +1804,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.ordered_partitions(n, m=None, sort=True)[source]
        
+sympy.utilities.iterables.ordered_partitions(n, m=None, sort=True)[source]
 
        Generates ordered partitions of integer n.
        
 
        
 
        Parameters:
        
@@ -1894,7 +1894,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.partitions(n, m=None, k=None, size=False)[source]
        
+sympy.utilities.iterables.partitions(n, m=None, k=None, size=False)[source]
 
        Generate all partitions of positive integer, n.
        
 
        Each partition is represented as a dictionary, mapping an integer
 to the number of copies of that integer in the partition.  For example,
@@ -1960,7 +1960,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.permute_signs(t)[source]
        
+sympy.utilities.iterables.permute_signs(t)[source]
 
        Return iterator in which the signs of non-zero elements
 of t are permuted.
        
 
        Examples
        
@@ -1973,7 +1973,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.postfixes(seq)[source]
        
+sympy.utilities.iterables.postfixes(seq)[source]
 
        Generate all postfixes of a sequence.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import postfixes
@@ -1987,7 +1987,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.prefixes(seq)[source]
        
+sympy.utilities.iterables.prefixes(seq)[source]
 
        Generate all prefixes of a sequence.
        
 
        Examples
        
 
        >>> from sympy.utilities.iterables import prefixes
@@ -2001,7 +2001,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.random_derangement(t, choice=None, strict=True)[source]
        
+sympy.utilities.iterables.random_derangement(t, choice=None, strict=True)[source]
 
        Return a list of elements in which none are in the same positions
 as they were originally. If an element fills more than half of the positions
 then an error will be raised since no derangement is possible. To obtain
@@ -2035,7 +2035,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.reshape(seq, how)[source]
        
+sympy.utilities.iterables.reshape(seq, how)[source]
 
        Reshape the sequence according to the template in how.
        
 
        Examples
        
 
        >>> from sympy.utilities import reshape
@@ -2082,7 +2082,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.rotate_left(x, y)[source]
        
+sympy.utilities.iterables.rotate_left(x, y)[source]
 
        Left rotates a list x by the number of steps specified
 in y.
        
 
        Examples
        
@@ -2096,7 +2096,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.rotate_right(x, y)[source]
        
+sympy.utilities.iterables.rotate_right(x, y)[source]
 
        Right rotates a list x by the number of steps specified
 in y.
        
 
        Examples
        
@@ -2110,7 +2110,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.rotations(s, dir=1)[source]
        
+sympy.utilities.iterables.rotations(s, dir=1)[source]
 
        Return a generator giving the items in s as list where
 each subsequent list has the items rotated to the left (default)
 or right (dir=-1) relative to the previous list.
        
@@ -2126,7 +2126,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.roundrobin(*iterables)[source]
        
+sympy.utilities.iterables.roundrobin(*iterables)[source]
 
        roundrobin recipe taken from itertools documentation:
 https://docs.python.org/3/library/itertools.html#itertools-recipes
        
 
        roundrobin(‘ABC’, ‘D’, ‘EF’) –> A D E B F C
        
@@ -2135,7 +2135,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.runs(seq, op=<built-in function gt>)[source]
        
+sympy.utilities.iterables.runs(seq, op=<built-in function gt>)[source]
 
        Group the sequence into lists in which successive elements
 all compare the same with the comparison operator, op:
 op(seq[i + 1], seq[i]) is True from all elements in a run.
        
@@ -2152,7 +2152,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.sequence_partitions(l, n, /)[source]
        
+sympy.utilities.iterables.sequence_partitions(l, n, /)[source]
 
        Returns the partition of sequence \(l\) into \(n\) bins
        
 
        
 
        Parameters:
        
@@ -2202,7 +2202,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.sequence_partitions_empty(l, n, /)[source]
        
+sympy.utilities.iterables.sequence_partitions_empty(l, n, /)[source]
 
        Returns the partition of sequence \(l\) into \(n\) bins with
 empty sequence
        
 
        
@@ -2255,7 +2255,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.sift(seq, keyfunc, binary=False)[source]
        
+sympy.utilities.iterables.sift(seq, keyfunc, binary=False)[source]
 
        Sift the sequence, seq according to keyfunc.
        
 
        
 
        Returns:
        
@@ -2327,7 +2327,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.signed_permutations(t)[source]
        
+sympy.utilities.iterables.signed_permutations(t)[source]
 
        Return iterator in which the signs of non-zero elements
 of t and the order of the elements are permuted and all
 returned values are unique.
        
@@ -2345,7 +2345,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.strongly_connected_components(G)[source]
        
+sympy.utilities.iterables.strongly_connected_components(G)[source]
 
        Strongly connected components of a directed graph in reverse topological
 order.
        
 
        
@@ -2419,7 +2419,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.subsets(seq, k=None, repetition=False)[source]
        
+sympy.utilities.iterables.subsets(seq, k=None, repetition=False)[source]
 
        Generates all \(k\)-subsets (combinations) from an \(n\)-element set, seq.
        
 
        A \(k\)-subset of an \(n\)-element set is any subset of length exactly \(k\). The
 number of \(k\)-subsets of an \(n\)-element set is given by binomial(n, k),
@@ -2460,13 +2460,13 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.take(iter, n)[source]
        
+sympy.utilities.iterables.take(iter, n)[source]
 
        Return n items from iter iterator.
        
 
        
 
 
        
 
        
-sympy.utilities.iterables.topological_sort(graph, key=None)[source]
        
+sympy.utilities.iterables.topological_sort(graph, key=None)[source]
 
        Topological sort of graph’s vertices.
        
 
        
 
        Parameters:
        
@@ -2541,14 +2541,14 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.unflatten(iter, n=2)[source]
        
+sympy.utilities.iterables.unflatten(iter, n=2)[source]
 
        Group iter into tuples of length n. Raise an error if
 the length of iter is not a multiple of n.
        
 
        
 
 
        
 
        
-sympy.utilities.iterables.uniq(seq, result=None)[source]
        
+sympy.utilities.iterables.uniq(seq, result=None)[source]
 
        Yield unique elements from seq as an iterator. The second
 parameter result  is used internally; it is not necessary
 to pass anything for this.
        
@@ -2575,7 +2575,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.iterables.variations(seq, n, repetition=False)[source]
        
+sympy.utilities.iterables.variations(seq, n, repetition=False)[source]
 
        Returns an iterator over the n-sized variations of seq (size N).
 repetition controls whether items in seq can appear more than once;
        
 
        Examples
        
diff --git a/dev/modules/utilities/lambdify.html b/dev/modules/utilities/lambdify.html
index 05fab7f20e3..543446710e1 100644
--- a/dev/modules/utilities/lambdify.html
+++ b/dev/modules/utilities/lambdify.html
@@ -804,7 +804,7 @@ 
        Documentation Version
        
 lambda functions which can be used to calculate numerical values very fast.
        
 
        
 
        
-sympy.utilities.lambdify.implemented_function(symfunc, implementation)[source]
        
+sympy.utilities.lambdify.implemented_function(symfunc, implementation)[source]
 
        Add numerical implementation to function symfunc.
        
 
        symfunc can be an UndefinedFunction instance, or a name string.
 In the latter case we create an UndefinedFunction instance with that
@@ -847,7 +847,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.lambdify.lambdastr(args, expr, printer=None, dummify=None)[source]
        
+sympy.utilities.lambdify.lambdastr(args, expr, printer=None, dummify=None)[source]
 
        Returns a string that can be evaluated to a lambda function.
        
 
        Examples
        
 
        >>> from sympy.abc import x, y, z
@@ -882,7 +882,7 @@ 
        Documentation Version
        
 
        docstring_limit=1000,
        
 
        
 
-)[source]
+)[source]
 
        Convert a SymPy expression into a function that allows for fast
 numeric evaluation.
        
 
        
diff --git a/dev/modules/utilities/memoization.html b/dev/modules/utilities/memoization.html
index deaea92228a..f8d6320e96e 100644
--- a/dev/modules/utilities/memoization.html
+++ b/dev/modules/utilities/memoization.html
@@ -802,7 +802,7 @@ 
        Documentation Version
        
 
        Memoization
        
 
        
 
        
-sympy.utilities.memoization.assoc_recurrence_memo(base_seq)[source]
        
+sympy.utilities.memoization.assoc_recurrence_memo(base_seq)[source]
 
        Memo decorator for associated sequences defined by recurrence starting from base
        
 
        base_seq(n) – callable to get base sequence elements
        
 
        XXX works only for Pn0 = base_seq(0) cases
@@ -811,7 +811,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.memoization.recurrence_memo(initial)[source]
        
+sympy.utilities.memoization.recurrence_memo(initial)[source]
 
        Memo decorator for sequences defined by recurrence
        
 
        Examples
        
 
        >>> from sympy.utilities.memoization import recurrence_memo
diff --git a/dev/modules/utilities/misc.html b/dev/modules/utilities/misc.html
index 986c8cb3480..2102328e0fa 100644
--- a/dev/modules/utilities/misc.html
+++ b/dev/modules/utilities/misc.html
@@ -803,7 +803,7 @@ 
        Documentation Version
        
 
        Miscellaneous stuff that does not really fit anywhere else.
        
 
        
 
        
-sympy.utilities.misc.as_int(n, strict=True)[source]
        
+sympy.utilities.misc.as_int(n, strict=True)[source]
 
        Convert the argument to a builtin integer.
        
 
        The return value is guaranteed to be equal to the input. ValueError is
 raised if the input has a non-integral value. When strict is True, this
@@ -852,27 +852,27 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.debug(*args)[source]
        
+sympy.utilities.misc.debug(*args)[source]
 
        Print *args if SYMPY_DEBUG is True, else do nothing.
        
 
        
 
 
        
 
        
-sympy.utilities.misc.debug_decorator(func)[source]
        
+sympy.utilities.misc.debug_decorator(func)[source]
 
        If SYMPY_DEBUG is True, it will print a nice execution tree with
 arguments and results of all decorated functions, else do nothing.
        
 
        
 
 
        
 
        
-sympy.utilities.misc.debugf(string, args)[source]
        
+sympy.utilities.misc.debugf(string, args)[source]
 
        Print string%args if SYMPY_DEBUG is True, else do nothing. This is
 intended for debug messages using formatted strings.
        
 
        
 
 
        
 
        
-sympy.utilities.misc.filldedent(s, w=70, **kwargs)[source]
        
+sympy.utilities.misc.filldedent(s, w=70, **kwargs)[source]
 
        Strips leading and trailing empty lines from a copy of s, then dedents,
 fills and returns it.
        
 
        Empty line stripping serves to deal with docstrings like this one that
@@ -887,7 +887,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.find_executable(executable, path=None)[source]
        
+sympy.utilities.misc.find_executable(executable, path=None)[source]
 
        Try to find ‘executable’ in the directories listed in ‘path’ (a
 string listing directories separated by ‘os.pathsep’; defaults to
 os.environ[‘PATH’]).  Returns the complete filename or None if not
@@ -896,7 +896,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.func_name(x, short=False)[source]
        
+sympy.utilities.misc.func_name(x, short=False)[source]
 
        Return function name of \(x\) (if defined) else the \(type(x)\).
 If short is True and there is a shorter alias for the result,
 return the alias.
        
@@ -916,13 +916,13 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.ordinal(num)[source]
        
+sympy.utilities.misc.ordinal(num)[source]
 
        Return ordinal number string of num, e.g. 1 becomes 1st.
        
 
        
 
 
        
 
        
-sympy.utilities.misc.rawlines(s)[source]
        
+sympy.utilities.misc.rawlines(s)[source]
 
        Return a cut-and-pastable string that, when printed, is equivalent
 to the input. Use this when there is more than one line in the
 string. The string returned is formatted so it can be indented
@@ -986,7 +986,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.replace(string, *reps)[source]
        
+sympy.utilities.misc.replace(string, *reps)[source]
 
        Return string with all keys in reps replaced with
 their corresponding values, longer strings first, irrespective
 of the order they are given.  reps may be passed as tuples
@@ -1021,7 +1021,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.strlines(s, c=64, short=False)[source]
        
+sympy.utilities.misc.strlines(s, c=64, short=False)[source]
 
        Return a cut-and-pastable string that, when printed, is
 equivalent to the input.  The lines will be surrounded by
 parentheses and no line will be longer than c (default 64)
@@ -1052,7 +1052,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.misc.translate(s, a, b=None, c=None)[source]
        
+sympy.utilities.misc.translate(s, a, b=None, c=None)[source]
 
        Return s where characters have been replaced or deleted.
        
 
        Syntax
        
 
        
diff --git a/dev/modules/utilities/source.html b/dev/modules/utilities/source.html
index 5c636da006f..d4e90c0e4b0 100644
--- a/dev/modules/utilities/source.html
+++ b/dev/modules/utilities/source.html
@@ -803,7 +803,7 @@ 
        Documentation Version
        
 
        This module adds several functions for interactive source code inspection.
        
 
        
 
        
-sympy.utilities.source.get_class(lookup_view)[source]
        
+sympy.utilities.source.get_class(lookup_view)[source]
 
        Convert a string version of a class name to the object.
        
 
        For example, get_class(‘sympy.core.Basic’) will return
 class Basic located in module sympy.core
        
@@ -811,7 +811,7 @@ 
        Documentation Version
        
 
 
        
 
        
-sympy.utilities.source.get_mod_func(callback)[source]
        
+sympy.utilities.source.get_mod_func(callback)[source]
 
        splits the string path to a class into a string path to the module
 and the name of the class.
        
 
        Examples
        
diff --git a/dev/modules/utilities/timeutils.html b/dev/modules/utilities/timeutils.html
index 69ff4df3a51..c628a44092e 100644
--- a/dev/modules/utilities/timeutils.html
+++ b/dev/modules/utilities/timeutils.html
@@ -803,7 +803,7 @@ 
        Documentation Version
        
 
        Simple tools for timing functions’ execution, when IPython is not available.
        
 
        
 
        
-sympy.utilities.timeutils.timed(func, setup='pass', limit=None)[source]
        
+sympy.utilities.timeutils.timed(func, setup='pass', limit=None)[source]
 
        Adaptively measure execution time of a function.
        
 
        
 
diff --git a/dev/modules/vector/api/classes.html b/dev/modules/vector/api/classes.html
index 0d41b359e96..2e7c7f19e4c 100644
--- a/dev/modules/vector/api/classes.html
+++ b/dev/modules/vector/api/classes.html
@@ -814,7 +814,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Represents a coordinate system in 3-D space.
        
 
        
 
        
@@ -834,7 +834,7 @@ 
        Essential Classes in sympy.vector (docstrings)transformation=None,
        
 
        
 
-)[source]
+)[source]
 
        The orientation/location parameters are necessary if this system
 is being defined at a certain orientation or location wrt another.
        
 
        
@@ -885,7 +885,7 @@ 
        Essential Classes in sympy.vector (docstrings)vector_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Returns a CoordSys3D which is connected to self by transformation.
        
 
        
 
        Parameters:
        
@@ -929,7 +929,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Returns a CoordSys3D with its origin located at the given
 position wrt this coordinate system’s origin.
        
 
        
@@ -973,7 +973,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Creates a new CoordSys3D oriented in the user-specified way
 with respect to this system.
        
 
        Please refer to the documentation of the orienter classes
@@ -1053,7 +1053,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Axis rotation is a rotation about an arbitrary axis by
 some angle. The angle is supplied as a SymPy expr scalar, and
 the axis is supplied as a Vector.
        
@@ -1110,7 +1110,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Body orientation takes this coordinate system through three
 successive simple rotations.
        
 
        Body fixed rotations include both Euler Angles and
@@ -1190,7 +1190,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Quaternion orientation orients the new CoordSys3D with
 Quaternions, defined as a finite rotation about lambda, a unit
 vector, by some amount theta.
        
@@ -1249,7 +1249,7 @@ 
        Essential Classes in sympy.vector (docstrings)variable_names=None,
        
 
        
 
-)[source]
+)[source]
 
        Space rotation is similar to Body rotation, but the rotations
 are applied in the opposite order.
        
 
        
@@ -1312,7 +1312,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-position_wrt(other)[source]
        
+position_wrt(other)[source]
 
        Returns the position vector of the origin of this coordinate
 system with respect to another Point/CoordSys3D.
        
 
        
@@ -1337,7 +1337,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-rotation_matrix(other)[source]
        
+rotation_matrix(other)[source]
 
        Returns the direction cosine matrix(DCM), also known as the
 ‘rotation matrix’ of this coordinate system with respect to
 another system.
        
@@ -1370,7 +1370,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-scalar_map(other)[source]
        
+scalar_map(other)[source]
 
        Returns a dictionary which expresses the coordinate variables
 (base scalars) of this frame in terms of the variables of
 otherframe.
        
@@ -1398,7 +1398,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.vector.Vector(*args)[source]
        
+class sympy.vector.vector.Vector(*args)[source]
 
        Super class for all Vector classes.
 Ideally, neither this class nor any of its subclasses should be
 instantiated by the user.
        
@@ -1420,7 +1420,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-cross(other)[source]
        
+cross(other)[source]
 
        Returns the cross product of this Vector with another Vector or
 Dyadic instance.
 The cross product is a Vector, if ‘other’ is a Vector. If ‘other’
@@ -1452,7 +1452,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-dot(other)[source]
        
+dot(other)[source]
 
        Returns the dot product of this Vector, either with another
 Vector, or a Dyadic, or a Del operator.
 If ‘other’ is a Vector, returns the dot product scalar (SymPy
@@ -1492,19 +1492,19 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-magnitude()[source]
        
+magnitude()[source]
 
        Returns the magnitude of this vector.
        
 
        
 
 
        
 
        
-normalize()[source]
        
+normalize()[source]
 
        Returns the normalized version of this vector.
        
 
        
 
 
        
 
        
-outer(other)[source]
        
+outer(other)[source]
 
        Returns the outer product of this vector with another, in the
 form of a Dyadic instance.
        
 
        
@@ -1527,7 +1527,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-projection(other, scalar=False)[source]
        
+projection(other, scalar=False)[source]
 
        Returns the vector or scalar projection of the ‘other’ on ‘self’.
        
 
        Examples
        
 
        >>> from sympy.vector.coordsysrect import CoordSys3D
@@ -1545,7 +1545,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-separate()[source]
        
+separate()[source]
 
        The constituents of this vector in different coordinate systems,
 as per its definition.
        
 
        Returns a dict mapping each CoordSys3D to the corresponding
@@ -1563,7 +1563,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-to_matrix(system)[source]
        
+to_matrix(system)[source]
 
        Returns the matrix form of this vector with respect to the
 specified coordinate system.
        
 
        
@@ -1592,7 +1592,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.dyadic.Dyadic(*args)[source]
        
+class sympy.vector.dyadic.Dyadic(*args)[source]
 
        Super class for all Dyadic-classes.
        
 
        References
        
 
        
@@ -1616,7 +1616,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-cross(other)[source]
        
+cross(other)[source]
 
        Returns the cross product between this Dyadic, and a Vector, as a
 Vector instance.
        
 
        
@@ -1639,7 +1639,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-dot(other)[source]
        
+dot(other)[source]
 
        Returns the dot product(also called inner product) of this
 Dyadic, with another Dyadic or Vector.
 If ‘other’ is a Dyadic, this returns a Dyadic. Else, it returns
@@ -1667,7 +1667,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-to_matrix(system, second_system=None)[source]
        
+to_matrix(system, second_system=None)[source]
 
        Returns the matrix form of the dyadic with respect to one or two
 coordinate systems.
        
 
        
@@ -1711,12 +1711,12 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.deloperator.Del[source]
        
+class sympy.vector.deloperator.Del[source]
 
        Represents the vector differential operator, usually represented in
 mathematical expressions as the ‘nabla’ symbol.
        
 
        
 
        
-cross(vect, doit=False)[source]
        
+cross(vect, doit=False)[source]
 
        Represents the cross product between this operator and a given
 vector - equal to the curl of the vector field.
        
 
        
@@ -1749,7 +1749,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-dot(vect, doit=False)[source]
        
+dot(vect, doit=False)[source]
 
        Represents the dot product between this operator and a given
 vector - equal to the divergence of the vector field.
        
 
        
@@ -1781,7 +1781,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-gradient(scalar_field, doit=False)[source]
        
+gradient(scalar_field, doit=False)[source]
 
        Returns the gradient of the given scalar field, as a
 Vector instance.
        
 
        
@@ -1814,7 +1814,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.parametricregion.ParametricRegion(definition, *bounds)[source]
        
+class sympy.vector.parametricregion.ParametricRegion(definition, *bounds)[source]
 
        Represents a parametric region in space.
        
 
        
 
        Parameters:
        
@@ -1857,7 +1857,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.implicitregion.ImplicitRegion(variables, equation)[source]
        
+class sympy.vector.implicitregion.ImplicitRegion(variables, equation)[source]
 
        Represents an implicit region in space.
        
 
        
 
        Parameters:
        
@@ -1897,7 +1897,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-multiplicity(point)[source]
        
+multiplicity(point)[source]
 
        Returns the multiplicity of a singular point on the region.
        
 
        A singular point (x,y) of region is said to be of multiplicity m
 if all the partial derivatives off to order m - 1 vanish there.
        
@@ -1922,7 +1922,7 @@ 
        Essential Classes in sympy.vector (docstrings)reg_point=None,
        
 
        
 
-)[source]
+)[source]
 
        Returns the rational parametrization of implicit region.
        
 
        Examples
        
 
        >>> from sympy import Eq
@@ -1973,7 +1973,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-regular_point()[source]
        
+regular_point()[source]
 
        Returns a point on the implicit region.
        
 
        Examples
        
 
        >>> from sympy.abc import x, y, z
@@ -1999,7 +1999,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-singular_points()[source]
        
+singular_points()[source]
 
        Returns a set of singular points of the region.
        
 
        The singular points are those points on the region
 where all partial derivatives vanish.
        
@@ -2017,7 +2017,7 @@ 
        Essential Classes in sympy.vector (docstrings)
 
        
-class sympy.vector.integrals.ParametricIntegral(field, parametricregion)[source]
        
+class sympy.vector.integrals.ParametricIntegral(field, parametricregion)[source]
 
        Represents integral of a scalar or vector field
 over a Parametric Region
        
 
        Examples
        
diff --git a/dev/modules/vector/api/orienterclasses.html b/dev/modules/vector/api/orienterclasses.html
index 2920c7a7247..2c006f41fd6 100644
--- a/dev/modules/vector/api/orienterclasses.html
+++ b/dev/modules/vector/api/orienterclasses.html
@@ -802,11 +802,11 @@ 
        Documentation Version
        
 
        Orienter classes (docstrings)
        
 
        
 
        
-class sympy.vector.orienters.Orienter(*args)[source]
        
+class sympy.vector.orienters.Orienter(*args)[source]
 
        Super-class for all orienter classes.
        
 
        
 
        
-rotation_matrix()[source]
        
+rotation_matrix()[source]
 
        The rotation matrix corresponding to this orienter
 instance.
        
 
        
@@ -815,11 +815,11 @@ 
        Orienter classes (docstrings)
 
        
-class sympy.vector.orienters.AxisOrienter(angle, axis)[source]
        
+class sympy.vector.orienters.AxisOrienter(angle, axis)[source]
 
        Class to denote an axis orienter.
        
 
        
 
        
-__init__(angle, axis)[source]
        
+__init__(angle, axis)[source]
 
        Axis rotation is a rotation about an arbitrary axis by
 some angle. The angle is supplied as a SymPy expr scalar, and
 the axis is supplied as a Vector.
        
@@ -849,7 +849,7 @@ 
        Orienter classes (docstrings)
 
        
-rotation_matrix(system)[source]
        
+rotation_matrix(system)[source]
 
        The rotation matrix corresponding to this orienter
 instance.
        
 
        
@@ -867,7 +867,7 @@ 
        Orienter classes (docstrings)
 
        
-class sympy.vector.orienters.BodyOrienter(angle1, angle2, angle3, rot_order)[source]
        
+class sympy.vector.orienters.BodyOrienter(angle1, angle2, angle3, rot_order)[source]
 
        Class to denote a body-orienter.
        
 
        
 
        
@@ -880,7 +880,7 @@ 
        Orienter classes (docstrings)rot_order,
        
 
        
 
-)[source]
+)[source]
 
        Body orientation takes this coordinate system through three
 successive simple rotations.
        
 
        Body fixed rotations include both Euler Angles and
@@ -938,7 +938,7 @@ 
        Orienter classes (docstrings)
 
        
-class sympy.vector.orienters.SpaceOrienter(angle1, angle2, angle3, rot_order)[source]
        
+class sympy.vector.orienters.SpaceOrienter(angle1, angle2, angle3, rot_order)[source]
 
        Class to denote a space-orienter.
        
 
        
 
        
@@ -951,7 +951,7 @@ 
        Orienter classes (docstrings)rot_order,
        
 
        
 
-)[source]
+)[source]
 
        Space rotation is similar to Body rotation, but the rotations
 are applied in the opposite order.
        
 
        
@@ -1005,7 +1005,7 @@ 
        Orienter classes (docstrings)
 
        
-class sympy.vector.orienters.QuaternionOrienter(q0, q1, q2, q3)[source]
        
+class sympy.vector.orienters.QuaternionOrienter(q0, q1, q2, q3)[source]
 
        Class to denote a quaternion-orienter.
        
 
        
 
        
@@ -1018,7 +1018,7 @@ 
        Orienter classes (docstrings)rot_order,
        
 
        
 
-)[source]
+)[source]
 
        Quaternion orientation orients the new CoordSys3D with
 Quaternions, defined as a finite rotation about lambda, a unit
 vector, by some amount theta.
        
diff --git a/dev/modules/vector/api/vectorfunctions.html b/dev/modules/vector/api/vectorfunctions.html
index 4f3e405c3a4..0e1125e6a58 100644
--- a/dev/modules/vector/api/vectorfunctions.html
+++ b/dev/modules/vector/api/vectorfunctions.html
@@ -802,7 +802,7 @@ 
        Documentation Version
        
 
        Essential Functions in sympy.vector (docstrings)
        
 
        
 
        
-sympy.vector.matrix_to_vector(matrix, system)[source]
        
+sympy.vector.matrix_to_vector(matrix, system)[source]
 
        Converts a vector in matrix form to a Vector instance.
        
 
        It is assumed that the elements of the Matrix represent the
 measure numbers of the components of the vector along basis
@@ -844,7 +844,7 @@ 
        Essential Functions in sympy.vector (docstrings)variables=False,
        
 
        
 
-)[source]
+)[source]
 
        Global function for ‘express’ functionality.
        
 
        Re-expresses a Vector, Dyadic or scalar(sympyfiable) in the given
 coordinate system.
        
@@ -894,7 +894,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.curl(vect, doit=True)[source]
        
+sympy.vector.curl(vect, doit=True)[source]
 
        Returns the curl of a vector field computed wrt the base scalars
 of the given coordinate system.
        
 
        
@@ -926,7 +926,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.divergence(vect, doit=True)[source]
        
+sympy.vector.divergence(vect, doit=True)[source]
 
        Returns the divergence of a vector field computed wrt the base
 scalars of the given coordinate system.
        
 
        
@@ -960,7 +960,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.gradient(scalar_field, doit=True)[source]
        
+sympy.vector.gradient(scalar_field, doit=True)[source]
 
        Returns the vector gradient of a scalar field computed wrt the
 base scalars of the given coordinate system.
        
 
        
@@ -992,7 +992,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.is_conservative(field)[source]
        
+sympy.vector.is_conservative(field)[source]
 
        Checks if a field is conservative.
        
 
        
 
        Parameters:
        
@@ -1016,7 +1016,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.is_solenoidal(field)[source]
        
+sympy.vector.is_solenoidal(field)[source]
 
        Checks if a field is solenoidal.
        
 
        
 
        Parameters:
        
@@ -1040,7 +1040,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.scalar_potential(field, coord_sys)[source]
        
+sympy.vector.scalar_potential(field, coord_sys)[source]
 
        Returns the scalar potential function of a field in a given
 coordinate system (without the added integration constant).
        
 
        
@@ -1081,7 +1081,7 @@ 
        Essential Functions in sympy.vector (docstrings)point2,
        
 
        
 
-)[source]
+)[source]
 
        Returns the scalar potential difference between two points in a
 certain coordinate system, wrt a given field.
        
 
        If a scalar field is provided, its values at the two points are
@@ -1127,7 +1127,7 @@ 
        Essential Functions in sympy.vector (docstrings)
 
        
-sympy.vector.integrals.vector_integrate(field, *region)[source]
        
+sympy.vector.integrals.vector_integrate(field, *region)[source]
 
        Compute the integral of a vector/scalar field
 over a a region or a set of parameters.
        
 
        Examples

    $!g0L|)6gnm}pIipA?e2f3Ko{Ajrks$jS%*ufZLL1>+Z0jf35akIoTW)uIm)s_2m`~YD%^kroP31ORe;UMNW z5TMwib73Z#Y&Z9HM=EB@AV_it=i_62!h7M4hVyyZJZ^;TGkY6uloDS2_SsApa_`8D zPZp`bqc1;EtLRR6cL}Y^&Nngrb(gH?p|Q-LPl1&zf_{|GlV7pvxbwo{f0ZRu4i)!m z*3bJl-dyD*H$X0b?<5>A_Ul{(a;z|U+y*eH*T`w_ryq-S!+s>}OxTqspGkv1z_^;J z0uemw%D3PdPw{1d#I*V2z?gq&NivPOAC_|=EnNv?kL`T?Swz~`*<3~ARcNtFe+4dUQoEuY7NHif&90c%e^feUE^|3-&Lb<(8i>se4CoDf*f*y%}cqNnY zNKIi39pvUKiYc1-mM3jDX)~xdt!>je%ER`E(zEwxVkW8Cwn<=4|3Ku!X=vB<#e4fvJu7o= zYwO(e@%i4F8X!t_j1IZ>eLnKRyOm}9(PoY_Q>t%(EmXSK-lP26kC(bkQe-gl5rHjw z!dL%beRiAIjnMxvxfE%v=A(hD&1~U(Uj3UBUs=mv&Bn*h7dhf4P2;Uzd{p3Y(Syr@ ztPcvWvSM0YF~wpW((uhLb+^sRDL?ZQ?EOuKbUJ>S&d$2;o?f=}NZ$@C2TOUEI<1wy z-s~OSk2QxV$dJ~u?ut-DEiIgBNtx-vL*jadDyA^ zQfwrjW`u$iPe$w^HZfC=XM~yt{XAOVk%mTltV$;0#E1;7E%V^gQu}bl?Npu8DJLoO zG962BO^BFFDQDLedi*>mJ>KF5^++c_Q;MWQ@{MolV(FowX7bXp;HPF(!l{z5G!iUf&lcd9KReTvez zu~yL8#;SQ()Sa6*#cBDdhZ6&JgXGBnqLa$#sAt1N#eVurX4TEf?7-?ZdowfjXfyS> zKd1Q=@CBow3iZchSjG}UJzx$b)no!A~=W#=iMF3c*J`v}sXgTz%F?^Txuk^&fd?p^u_!OVdta;P z1J%tWw3PCRFDg_)o4F5Xew+bRVrwMVy_sPu$buR=1I@>g7OOXt*%w7)y1%V8d`)~d z6{^2$OXUO`U$gC7xk_T+1-t|PqeJ3_aYk;`E52`GC&CDn5FLCoj`?aH6w~qbs{G59 z=H|g~qwLE}KphY4_NfhQ4ljbd2{uN-|8{bQGBAyMN3xWd*#+_p=$J85=TZvBC|YjQ zP|Z`nem<^<98XaP)}gxQARIL!l)E~T^TD>YX$a(*h zg@KN+5+G~o;QOFzKox7vT0u`xCchVd&o$1y3yhD1Zu%}d5OE;&Q9AlPMYjo>&*14u zvui29?5t|pp&-LA&6Sjijd;zu(c8P-4Ha&WP;7~1MJm6V*9ADGSMq^);;5|A=d&PK z7zwD>K>1%brX7@05uJ%hTt_%ab5RB3CQ1!c05QF4?DhO;ZsYgoX4HHB8PTPolouJN zzmJ#$aDxov;u%P+;Po^MJVG>ZTaB2l5&`cDw6GG{D-0(bF5S5;p!T_pE=kHPa5>2>HsW z>FfK-;?F)nJzg*9tF*VqFjeA!m~K?v1LgzpIdgG+hqMtEWJ>@k%0?aRi`k{PEU&l?^O zZORiL05s7gR^=4Q%gDqz|Jsz$i?=fIynZ+kBcnW!ZQG6P$uc42&TN(kJVkc@^OQUj z#EVV;?umJ76ryMNOZ4Exrt^k@zA-aiBhw@|qcJNA64m;;AbP-=QP-#EnS2LB4qGgH z*>2_Yj<3JudYIiMVIL^dKqh7XD zWu3C-vE;$R@AT5CmTLCEc-FEW>*2r9X>H1v`NG|m08TM4ha7q;WF{O`obYY(y@*;{ zlIuc6Ek65^>sy5qFFeYCdJI%sv+u}E*Ymm~4-~rcdGs7cGRgzUl{d}FmIJ-gewxb; z9b{(Ng*KGk?Ag>y8?E)|%q89$ng-N4);?C5`$9*GsE{&^-AFEdkNP6q_yREJXiM4ZK3IrQXFET_vF) zjh+5yWgr48)IpKr0 zr(`bKZ1>11BrEiu<-a7KPcdbWwzcoQrEsb7%BaHc)=6J&SZ-Ho73%tiUnb^(k*ev! zG~NOC}5!V@C%)H2cQ9^ z#PCevAE1CS`=rzUzWRzy25-Q1=fijM)l0THPM0{71~}%Vme>AtMPG^!?04kz)9j`Z z!i^B$`KegNHy~S^^m=+%Gl+D%LgIElUccR~yW2*-J)$i6(9RxpwaBD9Kjeu%F2RRL zu)lP>a`UH$I)oYvj%a~g^x5D1c*r~o|6qUBdAVnyy`DKa{NIvjl$FHW&*R(5mxB!A zpRZV`=)3xeTqO1G&?8R#4OJ{qJb3@;J`<}%=|>KCcmpguf;2m<&^{Yqf6}NY4(tZi z9vf5jox+h?!WS0W3>^=zTIDS+%qZi-J3#u(`)X29Pu#!cz%fwF;N=7rVaU@LliV*5 zqJAjK_GBD;AseU#VX1ENt$>3cLyfWy_J7=e)kWscN0i9 zsiAn^ADz{z(3&OnINnt?nJ%)eA$I#^$nOIJ8z?ryJWPFbf;eQfqsRI4`a9o4J=c_~ z8AXdf@plVteftir79y}vrvD()(eUk3*SEpJus9W3>8ZT~2O;Z~S7Y&`M>So{P9<1Z zvVHq({;+WDQ+i}S{NUS5+K+IL6uCuiw^yEDdflI8%Q+FIuy#-}9Q2j@rwY{$twv1u zIvrd~$2*Uz-=XFQovT(p0dE_iPL=fXx`x~znOz~QA9SzJ#6HYnh2X68v#n}x4pet+ zm#I82x1e@6F@hFmCEA#SR}-vmourFI^_!m2!@Cy++@G(VExS-{`~&ei9cwwlY&wiE z4)g<1+|=XxeYfbeqZaUMli3+#?rFTB?^PPQPa?8HPm5WJVxDkPSYElq;jz0caY??r z7$pD+s7@ygTRCcEHJhHWViI@9^KDTzTq;+O8bdqM%JQbU>Qhmd#EsV>S6iC7#d}Nq z8xM4qVGgP!3`%W(A96^Bq?4}Xr@5^v|J6bFcSp?i9RjbYs_%`m<&WFXe<=wyvYz5d zesqVEw3Fp_77LoMI}N_QYI57EQ%rTC5DbD)o5d_h-dU#dWDzC91lt9l$_wVYw=SE4 zQ|WO`IPx;Ks*V0E?4VR&tEvR)LL6qrAx7a7UMt(Z(6ugC;4BIIe3XlFzwuZ6f}M%M zZReUhkCoM~r*4<`-pRo$>BJKksK8(8tS-DPAy9DV?ehBL!u~)ITQ0?>O`e6~X`_mA zTU|-{3c2}#bD5mMhXMyXdR3dwQa|UeRp6`q>nWj+S>~Qq+_`is_NiV$RXF_+DpIwCEPc(MI z)8C&j=e-;l>v2Z`(=wL?k-Ig5qgcuZzOWybY?GDcy3Dn|`A^W2EdJsURCQgxe8_a3R)vIf_{Gm8;WVO9^#*S26-wMl#r>HUnxN;6ZL zsxJ?^v-#C*>PC^z>()!>`dDXe5zg%V9J}jFqZPNmPx6JHzZsZ7{>*YJiM>hv)b!ps z^?hF_T1G`fgpb`Nk#O8B>P9Ph{8r9nSGCn(c-G-|m3ZHrzbhbw<)Y0Cw458$xFNot zEYFp|#p7$H!5&UoYx)`9UaW(M?(9mtQ)VYZ2yt}YH7fYm!nG^PbiwBcKP=%GA4bHn zWbI|=1&l2L_2@1~4&sf6|JOu(`j-ZY+YYgXYcZYNXESX}21eg7cKw}lwANL0$IK9_ zT1<>|pyz_OrWw8nWj4WR(R!pnwDZ!w2OziLL+Fsdb}CanJMeB3iK1)!z_wSiyWjyv z^Ko*!*^<1XsUF5RUZ`ostN7GUD&33MtUDM`Jxc#w0*wB%L|b_$|BPl_;C>$F4Dq!e z0iUeo@ayj*FzszgN;f+(zkl1+*z_88vAwCxDQ7oAJ;a@M@c2x0gFehkEu){5AniNh z^5h|-AESSa^Zf62Co5@2cOJPfu+P3bjeUOM-4_we&>zL`2EQBJxJAa1#*}W==^w6F z{0zC9W2AG(c(2q_U32j+8i7AygSUMHc`1lRuSd`GCxbt)f1g~6>*^}@sg9=|$)xqCjRL~(kZB2r!KUi=v7 z$jd#hgKqp^<3q&A_R1kAWaeETI4c1V(MxKK%$KPCd}@hJvOI zz^0%{?qxbt7#u)YrG7VhA;GuXz~jWJRZa*iEaewxG}0;Ou=@2^KNr&VPB&{4^|<;f zC&!IH?Y~&ih8!i`phdqDH*kgcSLg3jL;w^@cSD4%ksb}V6w$XqkdP`U`Cw(4!$TeM zSdvX2EE~+Q=Ofk>%U0atOFPbX!f!Y=7N7Uz9=i8SbV7+^LGc)~2kve7P3V}YeS7PA zHuaQl(xuOWX4r>yDkFnd2Re#P@t3;9SP_nIe#8>`8YFc|Cy?=T7VB>Vq1<=%-7P(x zfdJE~tJfRJ8E&tt>3$>XxXdU~-BXs#s2R8w?hG}>V&=T$8o$sLrO7`s;wR@`5Jn4K znPXqBgtqU?uIEbRQ5_MfpQRHoO#u6v|0YbVA49LXbPS_d<-$cizy>YP4mkeW2U66g z0*b3CXt-7;#D0SkotpFT7Dd$JOjSV6e3mfLJD)f0$X`ZrTTKoJ4wM(mj~4)q#V47c zXVO7F-m)Ve-JCCPA6;{tGH@l#blJNdQC0L6@ z&oES?Igbk7X^?OFV)>;`Rt{J7AF*-h9t-;xM#1=p!YQwNwbyhU=kk?QW$@&OtT}pN zd$SR5#2@92bfxE1214-;67DV70Ob+1 zNVPO)b{Cd!MlqzExQr2RZ~+@W#FQ6UQ<`y27J=iO;X+P>dO8{ez$yH7ry@>w=|6s)sS zD602rRd5~McBB1pIW+CqI>gV4D9Onue8h!3lpy!NO-uUbkCF-DW9J_tf4KZ=woJWT zHG1!FQ0#Cg`NaUr=kTM&;mCcB)KG*=G7GNzJ9f1V?ZJDw;&H%xps?9J)*#_2+VuTZ z+T;yW>RqF(e*0e`#rW&bfd@aPfBm`kIbpiM>JU`hW@)L7ZggDF|LoUGopCt&h{2b_ z-S!-kXA-GsC1kWE&rYoEqB+SR^YsKHg?k%l@-l2q+QR4{Kj2y#W^Nx1>q4HRoM62H z0{+0uI+w2P<^Esz*uR>@AJA0J%J_2EC}fadl`$}(t7R*Wv^Dx`ZqsI3b|v(9a5f_LEl%TXs^In_CnW})UK_JFb&DMQ8rtYk zO2IcjCf=6sgAMR{$_2q%E&Eyhhq^!|2h5|)l=itEXVr!~e!Y=CpZ@uGs-ulQ2oM}4 z?TJ6?wVl%mPVf)~#3 zj>N{>je<&xT-)vH{kSzP34Ny!BkkH!LYuNCGG{kq^1Glt_AvkDq@h9;+LIvHtluH0 zW{giPpA=sx@TSli26Y7^E=ywTFdArTa020vIy93R`yA~!VW;VifBBxF z8?NqWKe1mUED|IdfKSoS6-ba_`9$Lu8jC^T{|vF($an98sLC0Cbd<8<#ZIqst_?hp z?d9zeEr5CP!R@zIg)~Z#pFZ1TV4ov#u}Tn7*cKb6aDEiETbXV_^lY_Xe^BR(g#tZ` zuS46KemO-I;R+u{$+3x+ z19OXGHH#G#*S^A7Z_`N-DvkBrdJ&Wr&ck!2SobajhigE6w zXM}N3!XVl16QUs>LzzdCMaCU!j)P!`I{uovqFy$df7ZGI=#|%O9%*cn8cJ89`lkJ6 z-wY}sa)J8eq}G@}A9I1MBy< znjtUZT?sjXvpGfthk8fXcIt)mV~EA(Zdu2r<+8u_CRxonpshxi(}(7W_HR7veB+IB z2DM3;TOpNhmT8kZ=^G~{W^S=JpDBppWnxS(dGA{I3)VkPWYrta5{oLZ)w-n`O0cg6!Hnt?IqLD+q58 zo$b|Z9EO^6OaS^Hp<3I-G>9F8qg(O3Pj95M+ysH3C}XZ^u<);?jhUP$H)#q>$UO2V>RxH|o=mS|gwoKHE zJZnU$t-t-KH|rhtzTiMxPxM?Bx8)&4Bvf~uM<98OyNN8ax?HQT3f9Kld8)w&Oju=mftze8NG3}H+&hx&}4W3b2F5MX4 z_!sz*m(ktQe3+l74$?OXOialRBn1&X``*%(JkkjBZFe!Oafs1ck{=X<#kb0O^ADDg za$V8r19Iher}^vEb7b0-)@icqPRZbo`Zs39G+bFfr_k!VA|9@ebY6;Sdk24vX!ORd z)CvLqp+R~qSY4=CyX6xzr4?XnhsAsOn)is2N~ci|?a*a|Z&gMd2c9TJ1`%&05Pm>{ zXFz$PR)XP%k%1q;%-@1uE@rOac#FD!;mLJtF+s`TD60kfMG& zIM7vE?)*}nJIXFW;gswXt--xbP02@QG?siuu9s4FYRDINCfk@O@G8{}(xZU%uO@AF zv5F}>R7Pjq12}KPkMO0M8I`{-l?f|`pHJ$Pdk&|=&iw2fT1EtWi9(W2u?k$5q(ZoT z@0&(?)EE6A>=SP_`ImNGPcJeS{NmBIYU*ARzlY9`$q2iaW^{rQhoRk4 zO5bgaV8rqRcxbAXNRygTn(;O3cFUlBfDz>Hn+7@Z;Ky4i6J$>SsQw!a-Nd{$sGp8` z?{L~gdr_iCAHYXOH6hgb$jC0`TmAqr)cmS9?r66dpg(OYb5+c*GZqoB@eufIo;}I( z$J56C6Y&@O1H+`fDM9@iCz`#It)L82V!*(O7=@rw&0ftk9WF`;M)!HX9nwU3){j@l zNht2uaZl{a*GB9eME4nnAV7JVNpP<$O_Be05W*vylGzhC5c z{hY`4Hg zZxknjYX1;96TwiXUKn%yl9^K^uzpg9Pf^GYjoOw28g6n^bZ`BBtCm=suE4r70_Edj zwe`1N_1Y@c38GTt0RLnPEXJ~~f>%I5gd-|ChZwM}Z4TJA#5-D`V)ql6{WyrVgsu02 z9o9;mSxF`@#?l$T$=9(Stt=;2nQdss2QXV@6L@1&e6GO<>lQ|*?1kmJ`oD@ZF;HI@ z9~b9NcsF9z5};P-hr2x>>d2JeQ7{XkCd_z~19YcU)~K?MiC4z8TWw0UV0{N$>^OTa zL#>2A?2I;6`6xZKT_AGqnu3+|I?XvqdCYC?*s>4Y7tAJ7hO||T+FP#Yj>G_?YoAkq z(Eg$`A?n=2Zh;WGYd$d8 z7UeH_d`*}5%|U#{=h`DzH+lqO9_(7PZOJJ1Io*E zl_DL9ZnMm`B-Xv;kw&I&!z&7C8bJbbWn$MiMY&q#{2JasDL6MDNRR?me%WCgZJ(p| zx3&M1C6_ap0cE~{utp?4{akm97ID(>+!?3L*34F|G;u@5y9`e1e%gxjtX6)1Zbf}y z-AICsr3-K!RAOcJ{9;ZPl93mNjpMjjKQbiA0%49$gIRv&4C^|hTRJ7@xQ#icN~pxH zG^EkIvFJv|T_N8ZJ^G9VyjaDY2QBX!HFP*xv$c?ozLJV6fWJ|XWH|LM4wsnhkbix` zEF|(5`qQ^9!M|F`Ek#~2dhG|SXc*o~eh00r7Y1|Sg!ATxw6myMD?Xlb-i)5k(2nTb zzy2l^_sTGki-PwW9zT9g**sijwZJh1KgkC3K5t7o zIwU`imKo{BFwNQk;=BX&aZSHL_ZYv?t42O}7N;LC6h7y~V;~66k{Es*b#8B@ z+<}W13u4LLdFfXe?NeZy%=Qz@?{xkz0|F3+iJ~i{H9qJT!-dF!sQ<0!SZsSZ1L^kH()}N%2Mwks=aJ=F1|Bf#w85E@}?FV|dK65Xjie`To z4>RodXix{;sA{s$DMSFE^CyE&m9oTe>hz}3y%>?MZO!d<2>~`&ye<>?@=VKSqX#0d z(ga~5Um7=6`9k$P(RI?r$-rS>920Tw;~%>BrDkbsU|^$D(JjVk%7r1%29^R$cfwy2 zbYyJXceO&?u-B3}bnB%r=~HTtk)PdL#}X{TS@W2f`-v23BrawLUxk5(Ftg46LX9f5 z)wG46MeVfSLXX8N%5l)zPPv=HatZyh(e_B1JmZ2C^M0;2e)_)#Z#r8wEf^$6Ou--d z^z3jFI?p3-?=3z?tUjt(@%`neEgMnTSZ`=-r{yJW+Fjr0P>;@36t$?6ozd3hgGUO& zLEjE&9s;TlJQs!*^M~92aEa=;%JyWG@X_%DI{{eTnlt;^sMvoKu8wNu`B?xbGsY#p zJt?+^;eS<2FA$lPh@tK5kK(sh@~?TcDZ2g4z-*3j|GGo`qD7v{==w^WWfU#I(ypxk zHifWy7t-!L8e-BpKV;3Fh8FLdqqKpSC!Vc_Y~Tz=T=ieFW`y^8cgAC)TE#pg5H3-< z71rGL{R<&tsWi}2=2LR%F{+vZ!vu_(4hZUvkL2HK6B3&Zui(k`+&okUBr~4f7AOf` zm)h#^0k)Cnp;w!6n`L}T&-aBMd-TJW&1g(^Tl&8?XLq3&o6%ayuuoRc21$5aFSi~* zXt%H&t7v!Z=#~dNmwOJGVUWB?701AGCFa0ziJarR0c&@J?k7=K z9{R#`&K4Ft+r-&&H(a|R6Bz-;SIxZnk5s$}U#ggTAea?wxt#J8BY=tsUQ%E6<*F|| z9PN@lfg2yni7(1S`#w{!1vv_bg7w4=?e>XzXON#iQbD=X6@2#&BfNV~UB)9~Xu4UR zvOW)T&6>lyZq`Dv4=h1O&v*Yre3$fn(7J95oYQSw>Y0#bRFO!*?hVUJL`bfLS1}sC zUb3!&N_KxM(3b6$7jjFKnndPHunhV7Lsb8-=i-5M#zr50` zCwMO2X|n{CzyTLUqt?YvcJLBCODo2;l7*M1;`J}Mq6~ibBC9QW3|>Bs`q&fSUf@~j zVzMCN`V5$b(#nTH{CyRWS$z8_$-@EX|Yt3W@#C5h|Zng7*=p65yQOskK$#oBvPjS-5DJb5Hcel z3|%ls;E9u30!f+(1??`L9DTO!K`K;OkM&Q?DyOs53+fd9feF$JwRF2PH~~|vYi}1l z;0XC#Xw=Q*kpVSfb!8-Rxihmp$^Sb3XjxTd0(!>pDPg{myTi)pRc9t4bY;;W*86E; zxi3BKAwA!-kUlNnX-4#{i8Rhnz=PaD-OtB1etLDi@7XQeJY8_tzeno~wu+d#XWq#? z`deU**l3!9DympMK1nb`CSqbSZ^ZBrPC4E|C3H;0=ryQG8Ani8+&eg2jqvBf`QX0N zBs3Oh%7q^hLa!T6AsJa!+RZ1Aaz6;I*w%{4yotS`ZKBXAUHfO&qKZHxy#Z|I{u%#p7uFH&K2{i?B{9?V&^4Y@_ zwa*|s18COj3z^(-sI%MjikGZ6==naIO%u#RlkOBFi*88J=d5f$Kfv|LjCz<%hn?*) zx}3oqh(3_-lBN=7WX--Ls9aEdYRV4n+3)z^&Wy{#q+{u$f+^G^-89U{tnc?gH8zMQ zgWK1XjRO(Yx8?g4AI2C{}k!{9yj+`it%c| z6?!j!3kaN?kwxG=#`4ZI;`JhmzSWCd{m5j9SGVT-4EF4iIfS=J<*dJ8oZ}6nk_tIi zgy&qyvmTDSh>-Hp?%l`OngOQcsDc!~pkk6~!#g`?!M$ecwv=fHf)?<}J9d+)dg?tGiCcoOF@`J?Jk&8UxVvuF# zo8v{3waa%$iPLtsT@b`IMn)u^o=)&G8eLJ^@yFiE3^$XvU*R2%_@3%~(Xga^g^uAd z7jVqtU&wr__r^py%~WRdb;}9}8T|upDBuRBf4_SMI_}b!Q|8$6*!3snI+ax;N?_s9VPed==A$Qnm*U2f?rW#!V5l?h%iIWLCn82 zCf-c3nA; zA4VQ78z23K8n4xLboe4x`jJ9yn<8uM|5--m-giLUr|Ri?pUA+R6VzFE%W) zeK@6F9KCULrLyx^{gFEzq$eO99CWZ9gP}3Gm8@M>B;EY>y9Ah6K~-g*Xb^lgv8PmjpD@lj`;>l@$_SOqS!owq zf10#nt+L?Shw|fHK$hm*iR||MiA1fMga7~0b2IAgdZ?ZP;`Wjb<+zyCiRd5bh#M=2 z4_R66ChbMc@zwHC+?8H@aKL{`b(YF$vFZocG6RiemSRoS92%48UGNCpFf(1q%aAFy z4wwDs9b{VA@-6#7=3rFZs{Ajj(%MG*{*E#-w3S;`pdv**oYmC-!N$n9X0H zn@u%VWUw~RGe#M2pJxhqr#2!JTmPj58=Zc+;)H>5=GCg>;I{JUosH42BRHiJ2I?7{ zE5>U!{#!h_{&UTRIOb@wnb|`6bKmliQBFp=8dnJ2O#N3l>OPP+6z};5x}h$=2f8Ey z_f6z^*T}ik`nZFJyE86AdB#YY-N$H~p3zD;zO|;MW%1hw$s=o_Si#r~mfwX~zc-EH zwGq4-jkpL0hkE2gTcQ{E7d<~mz52RgCTpq;e}$OtZ9ktUcg}y)L8c7VyKkOIom_MH zKV@8fP!mTKpQ%&mL`5rFrnVZK3{|v9KFA$GAXW;gqN4JpgyujAf^eV`svzW?GSn$* ztpi3Yr6?2>6$1Gbf!ruXWKxV0AwUWl82Ku7|~CD+6LW6AyX=FM;4zV~+a_IJCt zPkL^{+JxT^xvLbhF#Ohoc>l}yrdCyOIk~`e@uBriUM)8)Uvp1BU8~No`H|SxlloPw z?Vw^~WyrZtHl_TmCj~FoH4HKR*AZ70%J(Z1QF~@a&-z#Q1kKZTbfng|{7pRqr16-- z+DsfT=%yUzCDLNkMrhx%BEEL2D@#Ap|AAsxj=i^d@f>BCht=F(Vo}_R;iLjs4N=n| zJ|sG5v*zN=Z>^ytMCVcE?OgF@;twP4GkzDr`_2e$eFxH}%r_68YWZ}UQ^1{!YaqM# zMWg$;sr}C%SLe~w-Q!xWA#s)MFYhQD!ilv}W0bAATXuM9&KN0+6MAi4Jjde(vz3pXF5N|ZrH<)0Yxzcg@ zYTdCNJdGrmSe*-!%@Z@VjpjF;(81Prf`2UIUX&{9+_-(JBEP(wM3}w9MfE_I+-zv( zX}=^0sM2?vNgjGsFC%B zDxX1$nln5jRMZ$cB@o+(*mx$+1RuxhyY4#vsvW)GJe}snhi->>!fkt1lJKqMru-Eh zA_kz!_?uhu#Yd0tR~Z^Te1EDBkGD6Qg0#d?!02qfEWNtCzF9Jq7sgC1l@bpBd1*0-m7Qr|m^M|ok^SnUotRA zH$13K(B);E{{|-i&{&5IMLL46#eTP8Vi6Dd?DIx=BReSR=yk|FvnFHMz10Z>CCLYt z6)g(goD+=|cV)((hoD>IM(W)^ab4jrVhE4J9pat%f)ac}eAF8LVP0KGw0-eeT2$X)mr{B|!%3`o+KxtA+#9@HR@}|x|-dWzHcLJRm zKnGlPfGds(1iIjufvz}!MlD^+XDtFjR_S)W4+1j5h3#k{-NhD-Nn^O+Xo1v)Iyx9g zTd1RgEEhkhEZ|*S$os(tFkCwcpix~CzyLuPXPAut48CuV9!Ph=(OLgX3T-~kbOsG@ d@tPPQ=E6vrAdOX8ks3h?1gRt+pYW&%(!b6aByRu! diff --git a/dev/_downloads/a45cb86364a3602f7138b4466beb1097/beam-3.pdf b/dev/_downloads/a45cb86364a3602f7138b4466beb1097/beam-3.pdf index f1cc5529a627609681e41e0302e2ad01e47017b6..071693afd326abb308ee6c82c43160b938ce729d 100644 GIT binary patch delta 19 acmeB4>Pgz*tIK9+Y-DU|usK+FCo=#-s|G3n delta 19 acmeB4>Pgz*tIK9!X>4I&zByQTCo=#;6b3f{ diff --git a/dev/_downloads/a6ba697f4fd41244d4a03ae13c871d77/matrices-20.pdf b/dev/_downloads/a6ba697f4fd41244d4a03ae13c871d77/matrices-20.pdf index 227a30d964ee402faac2be5981e783e2b605d385..9577e9a94c590489ce25bbb16541e912e52239d4 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#zvOg#S>Yim;tAv2-^Sv delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb<|fA5#S>Yim;tBk2;l$# diff --git a/dev/_downloads/a892d8f10080acfce9914123b164dd0e/matrices-11.pdf b/dev/_downloads/a892d8f10080acfce9914123b164dd0e/matrices-11.pdf index 7c422ab145d4ba89ce197f85b7df9696db3e728e..151a1fdb02c0b0137e0371b26427fdf0858f36c8 100644 GIT binary patch delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGY=*{0#s;R_#S>Yim;tAD2-N@p delta 30 lcmdmZLU7{=!G;#b7N!>FEi8hGYzCIb=7yHr#S>Yim;tB$2;=|& diff --git a/dev/_downloads/aa497c934ec12bc50f842dac34beeab7/plotting-32_02.pdf b/dev/_downloads/aa497c934ec12bc50f842dac34beeab7/plotting-32_02.pdf index a6a88774862b83b737ddca5fcc48d524ca4330a5..6670d0b293a8b7d43674255ec670abf9bcef56b1 100644 GIT binary patch delta 19 acmeBj?Q-3)LY~dg*vQntVDmcpJ4^sXK?bD& delta 19 acmeBj?Q-3)LY~dQ(%90_eDgZ_J4^sX%m%jr diff --git a/dev/_downloads/ac472fec5b32a66f329e9328277c64b3/plotting-34.pdf b/dev/_downloads/ac472fec5b32a66f329e9328277c64b3/plotting-34.pdf index fb6de9a11dc53f1c5efc92471438e0ae514eaba0..cc3138f1888f21b29c4c2d48679c59926ba0ff28 100644 GIT binary patch delta 30 mcmdnHRABE?frb{w7N!>FEi7~S*$j=1ObyJoFXm^FVg>-GtqB|e delta 30 mcmdnHRABE?frb{w7N!>FEi7~S*$ga=Escz~FXm^FVg>-H3<)Iw diff --git a/dev/_downloads/b0f2a5ef738f9e96458a670bdb264732/beam-18.pdf b/dev/_downloads/b0f2a5ef738f9e96458a670bdb264732/beam-18.pdf index e87b2e07dddfbf4bfffe2058197cf80203f1a464..cabbd09bd6f2e96aff6cd01e732d4f0b780c1023 100644 GIT binary patch delta 19 acmZooZcX0MrORe$Y-DU|zIlS~S7rc4y$0I= delta 19 acmZooZcX0MrOReuX>4I=vU!5;S7rc4@dn=j diff --git a/dev/_downloads/b287a2bfc71470e15bf28009eae144b3/generate_plots_q3_5_2.pdf b/dev/_downloads/b287a2bfc71470e15bf28009eae144b3/generate_plots_q3_5_2.pdf index b8f35778b646a3ecd059188b3b76af7016df7df9..b53e61275e9af1c5ef69be22d96528b19e18fc46 100644 GIT binary patch delta 21 dcmaFa$oR66al delta 19 acmZ4Hw9IM41vxeYOJfTYlg-!U0+;|v`39;0 diff --git a/dev/_downloads/ba5808c3dcaa3ca2706d8976a3ba018c/beam_problems-11_01.pdf b/dev/_downloads/ba5808c3dcaa3ca2706d8976a3ba018c/beam_problems-11_01.pdf index bf01a4bdc57bdeeda4844b4e93fa8cbe85936bf3..3427416c33f2ff97186ff628e92decb0296dcba6 100644 GIT binary patch delta 19 acmccbbKhr!q%xbKv5|>^>1KIl2W9|9GzG8# delta 19 acmccbbKhr!q%xa)ZmgTnBfTc!t)Q|z?YoYEi*4eH+wIi2Of5i_5&|>7dJ1LM>hOV>^wXl zxw%S7$Vprg=Xdn-a`%*%l!X8FfP|ZegXCEqnnBPBqx&6mPY61uL;0sd`n)^`LFZdE z)NUC0Ca;V*yBp6T);7k5e5_toJXJYvahboE=Q@jQt_kax=;lusHspGyI=Cmoms~pq zJwH4es&LbhZ#^m=GuTy9>Jt37u9#wYGXw(EK>#X^aZuP^aG zdseiM`F8Z|iDrJ4djaUOolR25rOWSy6m`u4NXRAgE`Q#34BP^O>MkgibAid0#DI_B z5C-u1+lzl+{@V}#yC9%;m8p}SW8v*h8rv^2V0&Di6w1wcL0qqIj9jCs>>Z2Orh4_1 z0W$yf!!0Ny#3!Z&cS%631v+Lgte9$0<)Df~tdbpR_Sb$5+@rjg?J-I!=OXUs_0b*NpLa-SBa!WSQU`yo#am3q2tO zm8wCI$8nlFDo>7aE9RHik`agsw=}%=V{SZ^!(gwViit-<@?9KV9RoD}`D@FI=<>2W zY}PH(a~2I$)vvN#dlJsEwWOg1?07Zut3XQ*+1ZWO-F(+ysUw1;WwG4>fB)yo$hlG^w9!XE!tPU2(IS zaiHdh9-c16OuWcDA^1&rJmR))n#oRSSN>e(oOCx{OoOS=D)&R@4AV%JipluiSZG(z zo-WiP&r4NDm8?`JoW;hNve$?1<%!HIud&k1nURdj-91d=82o%UwO`F$DY4>O6WftSMr8)|-kWyBxr*5oyO|kviV;NLQ)l;m znUDXj)i@4f9M?>Lkp(`8niw%@b>l|s(5UBJBZ~z@1)6@!w4C94kDczn}VVb%{x}v$|K14(?Q68e9q3LNx65C<@m7a6le8%o=UPPa5GBJ_vsS@2&URVC0 zwTr&8+Z|F}^Xbod zQG(mQemU*`S{W*_iwxT9No$+i6iLycw4!I>b}tnhXmSpAr;deQ({$&(*&D+5@kB24 zN+LzB$D!P;&2H_CW`<%D#EKurYi-&m0dRjyN@aiy8?iMtR-o5?vki1XfuX18W^)8m zTRSShpg>vw0FTG__4jADwQ0&=rOsh!e$QZl*5AJ#we~LmoV!2haP`UT%ZD22-bam% z$~4orS;RY&?EI=&Udd3a+`Rcz{`&Pf%Y&U2e9q*gjSSWU&YMR2g8N4Bv*ygn$0`0R zS1G-$Z4U_HPi8d;5U@Aq6Ga{9XK^n2S%2ESaGpWppjOm>MNM{tNqOG{7Nn-+=i z!GuDNW-lUnS+oSokMUg3UNyU`h)o;#N~CIa6A8rIaG1o2ea@Da0%meysqA$uERxPO z!cg}tEUcEAy(d87d4o(4oDQAdtvmM$Y2X$1N|pZ{>p4h;=@4`q#$D5^AMeN>~>F zzz9F$<8q|XOXy)dTO+QhNJm>+8~D?+R7|SGobfozTWgMstdg4R@qe#1=LZ-V#U)Kz z5lifq&f$T#B!DmB)kogS6&4oeqtR)e8*Z+y{r!a&Bg<`NR#o@0RUd^2N4EJA@8dCh ztULxj;@MM@wYk&txgTG_=zJ3L+&4ApOgNLgnQevYI>K*fr1^FsuQieZln94{D&bgU z$H+`s@Q4c?;clS29$)o(XjRamCvz>iR#3!DNjD4MFBUjwLlj88aN0Z}XM2o`>U~~b z>+4BL4Fm#Fv^`bz^BNm;*~jGw?em|QLMeKd-0P=$!V_R7^1KOX{@gDCZNdq&R_4=B z*hU;?=Ayqwy|aV{K){7!EIVCROl0k?&-HW~1Yv%j#1k(&Au^#mL2rRldt_ z1x0*4^EC7OMFaO$&ClYn%v_vKC!dMTs#SJ-y}6N z7xz5ct~sottjX?>^iycfkJ&1w#PoI8xWbU}@Gx$;iV*j(lfJD^RFHMxHGiSb|XQgVn#4C=L!Ysd1 z30;`mmKu~>SXeXJq*OY{b>G+bXJ?UR5?l(f9PGiV`-dZOb*C59RB6^~3wpmkTQ<_n z`L$|1lM`R?SKX5YvA)e=PyaR2 zj$Mucs>?usTlAvemZx0#i5O0^__%}zc+mLMryrjt$G(3b2k{Xl2f2UQIv0F^y)e;~ z1;Q+F+Zcq|e1^>ED?uXXsS6%>1M|5q&G>1UzS>3_s1A&ETvT;=lQ0+z9UaXA!c@DO z4pP7Cc4XQ~Y`mntNW#19^ZZlA0Ct@F4Z=QqrR~CWcXj!j3tI$icTl-SB0a(DELdD9 zCjuD|fE^kdGBP(`u=gnn*9d+qb&C3m$^TF`*R8as(>OiKLx?X<1a~}gbkuWjm`jc% z*CO_fEG?J+VGHe1s>IoY>ub3n({J>f2>t%tj*b-JVp;T|Q;ehH5wFat#IMf5i9J7l zq?7h{u9pZE&m~aX3#rIHs5+b*yTzE$C~4gb8UiC6$5VU+H9|NVMG@}}Cb}fz(RIO5 zzSY4i!BRPeg`EJ|+OFc$k9d(xv8HEpOqGujZDR}Sz!oc0H@k7@0rNHebcuU z?8G~l7(t5Bads{MWdbDHq@<)W?o201!8d1UTt#d00>JL3tBzdxwr zp2_(iYsIE{iX`Vc1HUH*jz8a;crnD;*%_qQ?fa6Dtbp!w!OdHuyaRcNeF|s%?=?bg z*j2#wS)*XxOOFr#nhtJL(7Vo17yElOk0D5ksUz5{j}NP-OWAATpO|FOMvg0i=6+R$ zF11rv>y81>_551F1Md|S6qI?+=_r!6dR(74*kiOw&piptp>HBlQ-E2vi2-Km1?ad2 z3i&vF7H*Nz(j-JkcxL5#cJ`$llxS#SQE<@$BU>W0zP?_ZWL0_XHZ)GFb9R6k>^N4n zxHbeOtlw~~ix39wV!1YqI;LEeB|#-JH8!5Pvymo0+U^ol&RY4vNvI-_3$;~6DGa#X z55Vo)eDZ=COn)y7pe`gxboP8cP33NFYnx%)h)Yke2f*P2BR*3YN$+rW!JClNZ^mkE z*6w~lWn`4725}5qWq$zyV`kOSUF{d65qx^eXakK#o2sin2a`RY1hR%^s;k~4$431P z#QK+`6l*7Hb_6x*34Wp@80(4aob8+&UuW0`>jdjM9_R0tmzNh57HY@E#ZkNkHaNmF zgLJKM41B30gl5t8(GN-`@V8Ml5q$r*N-#kkIRHuJq^I8iOvh8=5D*W;$B#dODP#v~ zy>dSx*M0f_RR*q&eOPxm)yniq8vTRdHNp(w3R2a|7;X%})ze1gzQiz?zSXOeR-K%_ zoxLT>E?~krz)skZz!7Hj*{+O936@=V<=SMukRc6pm)gtvPg3x1*sP`9jDaEgllUT8 z{AH?A;p$wfVOMFFQ)am-iv1o|?^aSfN0oQTM@VaPl9htiwzf7wxl$o_=`-Gid;?(+ zlw;P0J!+7h8LP2op#{8A+4>r#z2bh$IhYd&?==W*T4SYJmTEun^O6(aL%HP}D zlj9@H|w23&)=ndsfdFALqjks zhK8|#Mg8Hh>S~^Ka?qsE%D!oUOXx3NUkQT@t zA7qZZ>_;#8Lg7?jRdh8WVl;45yBXPUDWtCMJ(-oz%MrOSjCa#QQENpS5wgmd#>&(V z{m%Mu%?l`XvDiqx?*LUfNzeg9TU1y`@pxlHEVMSdD^i9V%}}%Pz=f*Ri7fZ+Wo=J)u^5?uGO?fA`scKwzJU1M>^P=BZ4o5w7J2y zp0HqXeBBuGY7 zjJy%k%z`6orrrxKJU32zofdAG8mAy7I*5|oecreh%eOEX*oN!r%VM*&b+W`+Hy&0> zggL`Dl+naK45D)5Mp_`<4f7K?)3gtMENKo7nZL7@sGl6#np%6*sfb*B;>kS~E(d|7 z0I5Qmw4i&{gOIuGWq^7U-K=<>-BGwlGe~;ziB!=dmzaqrYPr-_vuZd#G1Kl**9uvC zO?=F~5m)YF0Sj6h+g>dyUbPh3X8O`< z#w}|AS*qvo&0oq0d(l*>%i1CAfax~DS?U7FIZaKs)iJaZ_sTRSKjMsal}Vq2N?cQz z<^l(7vag0!emb&u-L8DGyg(@@lib#T3o%lii##=hfLh*^xSQEM*cnTNm3iFdkcpai z;+uPD@Xj>3JF#>SZd%k5*Ht>8cwnDH9df{wnCileQGE*)L+sHW~{*6*k(CZXmyOkhdS+S-I2=G4XHipeorYE1V+dxqbF7CAHgS(e%t zR9AwJXX*G2qRD|!%u7ht_+PekH1su}4dDN(fc2z|9Hramkx<_w1oVOoSEvW26mV3}T$!J`}6E8S| znfP!-;@Q@NwT`6C%%1K=W81wEWPBT@Ms9$9U0zp#dVYT1J#$x=C+6Tg<^i@l;k?JG zCiTyI2OFnxqX{}~zlhS@65VSiqlsaszA*ZXJbtiuwIG}^?b~)&wLeT$QI6?2V~$sk z)0$2;UG+D>paJ~@40>p2@t*Q{a%8&A_BWV_xe}cLqoUWmTxTRJY`6j%*k&Wz0O8YRPz#FX4`5Ej{Cr>zI$fLqx)2-6A&b7m?$RkXOJO-rP}W)(P~=#+D#?GYz{L z`tkJdTUxV1URsSW0&80}o;K?ixA9!E0LdATfyYjF#MhOTl@)E%eETFg60pSq@R5ZG zN_ht>LXwABw0D(>5oT^0i9rN)SW3{LTWkNUt=q%O#yTbGO4C!@M6taEX=u-W^fwhJCsx-E<5`+NPCM53y(|1+*_Jr-4@A( zqnWkc9GZJiO4htQOjou`WZVAW5cR$jKcOjAzV03r0GJRsc_0%^=NuE9? zo42~&QSfS300cJJQF~JYTbc8@`fV?pz`$>aP^pN?45!^b<%MWNT&!dYN;yt%h*MAD zxQW1Vl(<&?L(A8@xrh4}SOxt9IKE#+Abm8Pky-Gh$7S2Om*EvK$=WKTW?gpClvHs- z(AabmRY={#4c+ru;T2gjqn0Wg^xWeBhCJ7w%)`jrFdmUZP6^BJp>#*3fhveXp}3s7 ze*S!GQe>Go)1I)jKG9GjZY@bb6-hM=ZT=D=5o${1uXCHqj`u8vh54^zW`=^AnK;5m z5FbDp&qnT-BYSpmWCV|*zfp*a3eZxQ`U`ueVw8*2dHvMr=%mn(Sv4HSVp&L*i~h!E z9-SZ=^C|i(@z`TI-VibS9wbIwWTmW5?mv`z)Q%3HE z)&!CKuczo-@6n$w`|(3Rpy7AsC+ma~FVh2#V@Fn)xvu@p$jES&IbG*X(R`Qh2-;|s zoO}I(6hq#Pag}Mk4B`*yuz(z0b?*PE9?hL-4E+RhZ1d{qZ*+CrdmAyxz`pBbu_)Su zX<_BZ*jA{h;gfAMFzet`m%A)CCWcRW^+^vn4~B|?_39DiJi{ENYx(XqhwH0p`j92s zOCFB4!v3m?AorrZm--)DQ}HI~_j3pD-!499|B|%gfteomg{X zJL1;sjIPN(3Rp9WIwbhZM6uw)h|gHxj|}y>(Hql+Jvq8dH9Mo&blYfN#eDF~A@>%P zT9uRww7~c(>i?G_j)s&moVj?2? zR}!n!Z4L5znQ+~05bBXLR|c(U#ojk0uGJgADW$dsJhC zmlD>>`=!b~C3fva`)^~E_U>e4R95ci3RBnh7T2&@P!II?SM{^Lbsj9SlXo8vP7T_7 zL~2kzcnV-3iW@^4iDm(eEuhJJ=rRDu2<7ny%DeTf!>+0(V0G?%`{(u}FDIuN&_6vo zIy#{Lno6JPTjvkV78%~1C$OrC^#8VlU*hQ>_Nzhe{}f0%|LhnX*{h&Hg!T>&F0{ngH8wW>)AJ`NN(M+t zy&Dj8-yS#t4u=CY_V=3rG(svxV4@eq#QxwOKOB3@g1|Jz{ww$Ub9LUAmG!-z92*{1 zsQGjpf-2;JC;myUz-f60NG?FX2Q+tJVD2xM8#esXabdKyuvq%*)_>BE|6B#ohnPtGT4Gv7*N?h=mk-dqjsVPxONmC>emoetEG1(~ZN5~X- z-NMY{v%CHPNTjWEn+r)}2j{hp(m;gx0xFev$EY@ZhkvY{W(sqy*rkE)pB$h8FW|H& z>E5NLg`mM(;76SbxPp#>cL4r<`ENh`--BR_OjZ6;G~vclcsqb3q;X3}tw{BL=zjpx C6ED{Q literal 10070 zcmeHtX*`r||MzJkp;AgJLYC}Hsbtq8S)wp@QMSYk*<~4ux{xLN5|iE7Cfgv(5JL7X zd-k0)_GOm;;kvK;dhYvq?l;ei|GWG1!8y)3kMsB)zxDh39!KCK4doN`7wI7gI-&C5 zo)!ebz(*?IV@JVdgmV}VE>g})`p(++R?cou9W9}UPn{j??49jwo^iTbIy%|dBPB$o zM6U^RK6iF@aFP}iL;U@KsJ)}L*kz3)L*ONJ4i5~RAn3Tp;V%`+?L9XHU8z^OcU#B( z3O>WFFal=8X^jAkOLUUvPly zV7Pp`iBr+g6I;5oL247f`atc#BeisZQik5jn=iB*!O=j_`zfbNDhT2{I0i&M{|ETv z>-XP}|JB3)t`qQ2xE@h=`ZaO8dars-@WyGkN`dB=eqUiq6!IE;ACowWr1xdJ2Q?Rk z`E0PBsPeo=4mfRa`>2_?%pxJGNAAr2suM-oh_e0;DM_n%k_#%gAnPHu9r|U<68+e2 z_$=g!62~bz*Q9>AYC|*p@~^ED5t?M|EK(wz<5mdNc8-d()eZ)IG&7O*vvW(N;&eL= z6}4$(@loozsLW1gF5w@-AaNOLU%TnoC-~H7l{NUF;(L$-!x1R%NbqSM$O*`H4M|n| z_&q;W94|}}XY$2Nn|zgT6bw_Q_7$EMfNlkyh7Jcc;}#)BSS_2eG%A|{Sp`GkmhYk3 z)4lVIbWrWeDX1tU%+7%+>x{1f7i7U&22D_N2vNb}SYe7WCO*fz##}iy#Z#%xVva$I zC!axd&7pp2%3D8n@L0y3Ri{dUP;;3H;lu>$W>sWd)ly#7SLCZJb0ug70rv@lJp zulvNuog1=RdEwx-wlYitQ=)7@y^#G_J|s0L>;$^E^`U>QKv zlkd`c5{d&R3powl;%CIF_@?z>qBPu`v%x~%VOOJ*)LZnRFq`P@U zbqE;7{KrkUt2bUZ>`@zcFD&*h`D`0($?kl-|H_kBC8d-BUQ%J4V#Lx+Z%ont?O{lv zgAAHPpj*DZw7cofTq)Z4{pc^|SGRCwYKtYrjML2HsA8_f7=h2(X08f@T2J004z2ct zws!U{XVX;}q+a1Z)v%dGA~?MVj|w?}CShknB*@NC5M?ts#L`x8D@nyUlBvPPaThou3_5;e zus@?fU!7xRC~bG*)69;5W0Mv$QdIAE43j~8InGe`NzK49$lzu*6Q?+fFwOBdJj%*0 zQyH;+%)yJJBlc<$FtuQv^^DRWFJz!sV@li2T0R)W)&QzN+X7K$En5gU#t&WIx9==z zNI`bS1*z>q%;h#uer)R$@*t_qeu<)^eVF5;3dpc<7o0X!&*G*~Y*UcjiuMs2CJ3ovLZA~yG-oX%F z8ch1qOJX0@%|+8ku~byP$%#gnjTkdR)6>&IP1B*|wnzNw4|t{)I-P@73DJ<}!O_x# zfRjVsnVRV1CQUvn!1v&JuMnL6Um>UQJwkUkhThRaR&wstAOa z(Xp|)c>H)by3(ESEJ@a*C-HLabQ$z>e@sBG%<~$Q_oOr&nt)%B_ddxko1K;XN)@A{ z`r&~;6rQ&IYb+N^e+-KN|tl2Zbe zp&1^<2uCL0k$i_yHa+FIM0eQ>G;nf{*c=H*YSUKi?I4Nk-@K;}mY?(B}>gkHF0r zNTlxV+kOd&iCL7@<`3LC+1ZB=T^AP@_a?^TiIzz+ZXJZjG+FAgC_M@qZ6Lm&Exs^$ zbZRFV);y}_f9LX^*GJk4(X;ddXTSdz-dh%T-Of8n*=^bnqvh!P`9(U(ouEXc%VI<3 zF0*ZMOBLM1mbn-2s@WZlQrVdA)O-1|aA|qDe`p9pI@qyo3}TK*AFFiBt*Lp^DZBBW z{nY|UMfUbsoc(x#h!JifOM!&(l1KL}mVi+%6SY*5m5vD6qsREf=}t*;CaGeu)g~Ym zG)U{QMcM*;a{+MYwTFV`o)s`PtBULPI0M}$zp54kA#r%s$jC^k{di3nGi7+#@P?!$ zDsNX$PcJtoXX#8MzPj23fk5Qs2%)(MR6m7e)%cD4R48|jSg*j}w z&lZcR%uw>i;zfsWL9mO>ky=X$DyC{uUZM{xH)gs9Dky>#bh zFPmMIgEXmqi;AwPIEj%f-PUwXOp2rrxl{g-5=}L zW;I*KK14QXUlmi3Up1xUhT>=M5wQ9BaBc0#7q+%zE8pMS>B9VvWa=rk)(10H@m{@_ zI*mYp=zUB{X}NI+)*1|V9G6!5WyodvfkADy+rX;ZB;_lExP0>6cYT+F7k7ij1f`?}g=X~X#w-O#tF-+38?8+0_36Z&mX?;} z2_GqTL6p0Uax)|qUnVs9s$1*;%(a-gS%Oe^+xz!dhNbhC74xz;;KP(oUPF$w*^6|w zzK=sB-tagYUnk|y`gCO9VO)N7s8o%+x;i4gYdAn~*tno8pTUC0(bnc?UTbd?tK4bm z#fujO<%OMg+ego{v%3}x4OopFhs-)e6=>p6Xw`}LpzQg%jl*9&yW=XDq3yYov##9= z_oB3es+3uq$~N>zlhFF_{JB8rRLK2H0%Ywb&-jOsZ{+&#RR0Q4{`?O^Os-QdYv(7* z)K!poPna2=-xHy%5bMNBaQCw`@VI~jQe0$Zy(C0FapDBhb#^%J2*js84r|5-Ga-!y z*#}zmOb>%q{?+sel?c>RKdv&7Xcuyxg$kKj=`3aFd*?d{MC(UEGBE1W!h!=>M1wZu z(6DKxSb&3xvaT#?>4D*c#mWQ*79PCj2bmZR(RNR@z&m1ip;foaXb(MT?WjEHiu=7;SAK$(`>f-9!QL(!= zQl{D1*!b64ls}&ex9Pxdgn~?e$sPfJ=B}^Xg>C*eD>w|?J8_Os#}(;*T--@oTDk;9 z@lnQ6Zxgj@^Qe#UsSi+ymHd-MyN$upKZkP)V$PkY+6d(l_?)Vr!Kfoh9BN!=KL7c2 z7|Z8N4s#`?rBYhNjFyl9+4gBo0ZwIcT2A{RT)vY%UasPFrM_rJc>jW~)8-T0cWI^lgyS2Wdt3zpr6T7$pxQ7;m z6Xxgx*7SKy2hYUX-kqJ_9!Zu;`^Zl&EiDC}q=i7_Cz@1TSyGt$p71I`2w$N5t+3a| zyKe|{2vchIb9w^(y#j7ClL?fguCT^TF%*+0WW&UT3u z(}9)z2owR*9CxE>!l-_8FK|QJ*@0Ppg^HBp0n=DJBQnitW`##7uOGI~ zn4WrB8CZV$TqGp%J#fm@#3cXu^_=8ncFD?X+{rLs?sA$5mAg%$0Gw+BD4cK$^<>?E zejKL{>?c^_T9YR`rh9XoaNg`F@Oqnr?NujHG8_&cu5ijq_Sv_Qtdx)#$t2fH0sVbf zY9YK#@|tA^`jd8=@a1X2mp|ITHDj(e5(a>bNY$az!I}VW~<)AnwA|g##Z&lS)Zw{i?ao60N0TniQ6v<_529!Q` z{rdIn;$o+cM$~wXx1gx#Vdjjor(+W3QkJ%=!kfwg^etGhb|ASIb1UIz_fnzjH|jh12tt(!xOCHqfMhtNmf3xQp+P_0P~ z55nc?*3Gw`)&F*1w%p3^?e(8^4YRM{dg=`95{_EnLTtA~t8l@58rcU! z*8LmAjf)DNx<$eP17cc_oiko9gRujFr+wRO5D2)pH|b+A%E_r1ha6k7(kp1eAp)7d zPEfZ35hBiL5y~|{miS_1xY^BW{~&_Mz;J!7&gkq=i4IvSX0CAsB();|2yC`Vbly5t zoH~s9eh4<9}RFv`Z! z{Ib}_x@#@vATYLMP0xh>DBn9JH*&A-{;Cn*)+%Mow^gK`+4A|x+A=%|K^hw;C4HUz z3~*|)`xIUE`gfsM8|{*pQ27!{JPnt zRE56OV5Jyej2OA8(qTtutgSt5s8A66j*seRH9`9Ys#-a)VaA8X&sWpUo*31d{}pbz zAiMvSrREb~viqGgXU;^VgISkobTHlS0Ik&*DQ{Yml zR34*l9FDUaN`07k^C3FR2X7jtKrWxgI;Bmqh%J#!DmSO<8JAfY74iy9DlK9kWS|T& zyyJl{$P|6-L_2S?H_CE^v{NumT8WZPqFw+VJuoo;fPl@((K0trOEhV*@xg1lgduhL zXY|0&SX$z&bxetyrGvyLKD3vXpQ7TVgFb3Y50yc~aL!^bpr8(fp7*jyH9-=UHlLHb zHMdif#W1#paoC_2*>8PlxY-^exSMuukA5g%jd718PufdEqkR-8;4)8=HS+j!D%`U2 zR_4{~*VB7?wBR~A&s$?eKwi}Jo|oBgtY@_Ka@S9B7>q0%?hW+M^VK9Poi0msRKk?x zW8K)Icu3;=7xvQuy6nl5@=$@C{9|+@3n|%jH977Gz(xS8q4s;x zFJ@*`h8EL#1TKYny7G5vWJVL8_pMqP_e<*LMez(-H$^#Dh)5KdE*3BdnqGB{#;Rf| zRw*4Hx2y&oRi!^PH+PZ@4dUg4n&3Pw8X4EtFAi{vsCgnO_OGn>-U|7Q6(PL$@=*g> z2bIO6MWf*|Yu5I~cYJ8L_ew8Bf$|3I!fga&$v4bk`7xf8h4wL2FeuXqa3c3T%e)a# zQFwGeC)zxx+~%I%!41C1o~o&+j*sog%5^1!TX{vF4?5fM+OD}il}k>l`&ijFjt9KX zHP25|O$a*9l2%+8@k1CzPQ1Lj`_$X;GmWUF-O$jJl9jNgA;S`fsUTB2YP*cySY?l% z$jGGV2l}c!!h2pGlGc3o8J3GPM7SPt*k3^yos>+jj80|?ImX+>tQsnW*s~!09Pm?b zE}Ihbu%NEROpX8iS%AacgzM^l8M<_9p<{%$G{sT>-O0}06gO3C;*;@=TL(UFAC8Lp zTa0LpFA_a_=h9+-pdKIC59Q=5n|71ds;^D&4A-<=Mz=Rf>)ad^QtKI(P%iFL<;1&l zLH{AMJ9I@fp2;zm5mxzvs8>2+d~C7)XS^grB`c#p_uFPAMK~Ja>2&g#{I53wl8Xb( z6s3p~`&Dnlt9`jfnjFc5^Fm2K>X_Y@$lPKromnU|UD=lmpVHFmKTIjO$gbC$xEaU! z5Urkl&2l11V3%T4HA7+dz6y+$3|B@96J8=%aYEiUUy)C}?&WrJpa}=wi|KY~&H70$ z5^^@l;Q8fnG-ykPhlkmO$ocvC1zSft0{yiO%Q-Kjc{8+n67fk`LSU}u659pB@=8U^ zQ;MP@wJ+Ptt2%i<_k?&`vlInW-kp@o@*qs+`k)pUe38;9^&$i>>2fvPM{oNg!_0-h zTFAo$rl&V=s4(%7hG9xILzHn6{pEWXWldpmXyf*Wh}ckr67l5j?Yaxq8+wA_3108J zal-IqpPiubSaP-L=DbD~#_YxVj^~o#8Coji#J~EWfAp4#W4?E}CO0>alLN~&7llSU zIWBAoMMq4%R6FwK_K7g+OcoUVQN-*>hsoY^9-ZqX8KL)Kf@UbkYQH^mmb2=-X9L4> z?6Nf(lsj8%&K|o0d+O6#E9~)%$?X4aJz?*7m|}}<#Kqxl3hc0sk0IHXo!=MnSbo+- z(W8-RwCb?UFAnSL+{rId3-ox)#a`0b{N`K3*W=g3)soLsWdppN zzN>jDY*fa;9???E#fzAztNZV zi^>m_W8i`=i*W&IM=l^Z!aIQp6A}`D3BA3&4^4RC%lWQ`hS}Z?C$}fzH|ovoTdMq# znDZYxC8cbB@6zciw9=@(>&)htzed_&L6RbRB)l>ew5xPzb;t8dI9~;dsO1*~4b)!PmdN#S= z(Eb#J%XWzP8W$2~68BNLk{GOWKm_?ysIU>15C2;PA={0~sJD*#{ce*SapRS}O@^I8 zkqDZ&n2zIk^(26feTUkr^~?wrhm_;JkurO<(_t;@=}3|(HLC-3$M-Xnk5qT;<#JO~ zXErkxFeOnMMnx8_Yj`5RnILbqr*ra2_GFJ1GxyF1*^d;y%%fg>GV{}ly-6ZuMAD~g z7g-8SGHOs#NsH+@UwkmMp*1sBkx%1>>m{%n@xg~NotgRVFs6ydZ0r}h0|^AF9lDOV zKMuC0a@Aaj_fmQmTY!H&l)rH5nEDTY3$27dj9yK*(zoKs| z=epy4`g`d#k}Au1p0VvLt-&#G&TrqoZQ4_|?f1!GlOatxOz_k({&@8lV_#fe5eZFO z&D>$xpUmc}k8`>tUHFk)rnwlqmefBqS^kv@tt%$n_ohr_U|U8vn|~!*W2>6nUKy?E4ZX+ZdW#LWvoa)6)=|fw zrHRH#+6|hqoIR^9V)(mIfrf@=JHPDb3$(oV@MQupy8u^em-`-LtJAJ39^zoxgOcbiNa<;9d6w?^B(mk(IQ_zdpRMkX`+>{-}(* z$6lQfneOPD?YAdbSGv0&mn9ybke1u(({|-yD&!sd@SuU*gd!@JCC;1&+0)ODN;!y< zaKm;5u(fT15D=ZTxqVP`@T)a==QCe2Y++#`uHPS@`|y0#V{G+yf~avhrwTnajQ(AH zM7rC!x1Mqsdy*&ZhcXSceE!Z)&$YLqQm;0%!GB39=cpXM0wB1#Y)UZE)^LsuEEJUGrXZB9?eYmc`3<9db|jzXlF|5n49w5>b=@bQ%`^@S7OM%! zl@6D)9@fvFKk%y!X;q^tgMZC_KX!?@w_$*c zF9u2S`}glWQpLOuCMIJi@HLhOf?{F=;M*(;f-u!+SmU)fD)X*NS4%6^;+n_ZrgSX~ ztIs`V#cg7vDKX$1wvfGTcelKT5MpnEQHlpW7^jr>U+v6{m84nRY-_A7aCAv$bxTX$ zNv7Y~)t);`)(Qtha0QZPd|X`D;rfSdv6dLij*WZJb3n+ZA95C&_QKQ_Z!8TCBLwT| zhkpGUCP&_#7QRN~-ZeNF$L_t^tvR}bPq@dGg7ume0&G{SL+iErGgO}n3OfFT0pSnB zWY_;d*6dl)ys5i@7dwAECpGnsjO$9XRx3362c9&7@2_y0M=r!U&37zTj+2mY4WkT_ z^|gyJn3lq+ae%xH70fch#H(YKdcbm6`Q3>(LOvJy`S~9yDFuMdhgQd0U*(XHki|~& zN@t1PP|>pdTw0iX&%$%$FV#aL{f6CILrm?Ttmct9L!4dwNw9Z!h!H8j87ZGYD)_#( zBNVM_12nY1j3?W!4i>(dVssy5^!a_HEHNAo!YD$b5&z|jVfS+#IXO9`E6rO$Fuk{T zHE7wK_cv_-!G}ptzt{E@YF)*&Q5r1$@E`#uDixc@UB z7j($1=@N~Mj7*kkA*cdG;-|bk^#}; z@4s?!b}s*G{V-qcf9{$93qrmhPdQXlMf7!bed_4Y0PLjbpKQmUntu;DJ3HUfB4&jG z#Yh}R1Ry2ycFSc_;O5L5@mOqUsSi+s5Kuzq+ts8&rgBhs|Gvdz9fWdmDNXIpP8|Eo3Y%M7fEfi$ zdEemR!e8swr{4`WC8qwWm}g%dtlc&ceMFf8{k1Srcjb;iwTZ$bI7HbKFE20S+1c5pwKccRdC@0T`h1$n zIy_7jDbpu8Ca1AoZzNVCxkc wnh#X*1+rKE_aM%H590jq9>n?o*DqP2oLew(^b diff --git a/dev/_downloads/be5321e199329605807b665644b38c93/biomechanical-model-example-38.pdf b/dev/_downloads/be5321e199329605807b665644b38c93/biomechanical-model-example-38.pdf index ca593e1b1430e92dffc3df3e014b9cdd50f9bc2f..b752c5502eae131bd60b8844f3e087cd22ef488d 100644 GIT binary patch delta 21 dcmbPxjB)NU#tnIKY=*{0rly9QOX60t003M52d)4B delta 21 dcmbPxjB)NU#tnIKYzCGl1_tJvOX60t003MX2eAME diff --git a/dev/_downloads/c1423271668bdc35a9c394131066e255/control_plots-3.pdf b/dev/_downloads/c1423271668bdc35a9c394131066e255/control_plots-3.pdf index 4fc3f655f9283a11aefc5c442a05cfc2c8431725..be7662462a56610428ecc04fa823a9dcf7e17d31 100644 GIT binary patch delta 19 acmbPKIH_=hy9t}2v5|?P$!1>@R~7(7q6Opt delta 19 acmbPKIH_=hy9t|trLl#v;bvbGR~7(7_yz3% diff --git a/dev/_downloads/c1adee8d5f4e9aedd715240ee2abc6e5/matrices-9.pdf b/dev/_downloads/c1adee8d5f4e9aedd715240ee2abc6e5/matrices-9.pdf index 08f50da9eb23a13d5824f40b872291103ce93f72..ee86bdb4577f57f6143e0ed722c198d693c06547 100644 GIT binary patch delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiY=*{0#s&u4m6chXm;tbI2?78B delta 30 lcmaEQM&Rigfrb{w7N!>FEiAIiYzCIb=7z@Gm6chXm;tc!2@n7P diff --git a/dev/_downloads/ca52fc8f0db47908fb8d38cc335d5c1a/plotting-22.pdf b/dev/_downloads/ca52fc8f0db47908fb8d38cc335d5c1a/plotting-22.pdf index a1fcebe69bf63b36102b953a5754447c9883a635..39b73dd98e6f9b0a492eb0b2b1d4c4b5f572e17d 100644 GIT binary patch delta 28 kcmcb=fcO3a-i8*&7N#xCr+wKBjg3r94YyzPW$t4F0HX&A5dZ)H delta 28 kcmcb=fcO3a-i8*&7N#xCr+wKBER8J;#n_jzJ;%3xzvp>g&+GL(_w(0%-+%ag#`#?5oNIYs@9R1z>OA4hR+K0T z0I(IWqiF~L68=Pxc{agUC%U5ozD{^+UGz3`v-2idd)fkhYj1aFH*aU+RkW|Irx(%9 zRq@b?Lr3J$4&L7GUMdO-F8>xdHPz%Gx?&^NPO^)!!ID#}yc(__p9TYnKsk(@j1v*QC+WiJYHLII&ij zZ`eKD8y-K?|EtI=CHw6{M}gl-iJbr(&In^c{m^sL@VQG90YD{s!yTIp;Nx&4bO%{o z5dPef1|L@ZT<{t8KSiH(sJ@Sq(|tz8`LYA2yCR&IgI!(he=3?)mcuF|3M z`S8_gN;dB02Zn=T+o&^53(3fupZvJkH|vbAg_$hD{7?}%3x*tR`>HUb$O(EYlsIly zau3j8-0G+qWt|)xi`grI6Hh|ELa7WD@7@V=Wz>-)T?_=luJ( zGiB0-BdI4S5|ppCUc&UY{r5_PkUB~zz%MdKsn!)8!Say#pMuIeT~~;s#!$N71>dB{ zPE}l~@GomyUt7&osx5O@G0H3tLQIBako)v)(vMz$#S%1_dO;1CO{J}?Qv7w;Db(wk z*TwV@%d=0II`NVakuM)2z&`5~YPY8pV&XoQchVzyt#J?8RuK4kebH(eFIgra7Cn~7 zUH5>%XQ1*)&)W>%9f6sVSxnum`6NW9qIGB|H?aJZC}h*0HF^s@V_2?OGx(}L)w_cW zSlHU>YH2Zy0L{d>|M$>8h?&fNuI)c-z?30>^_w+N9z-zztb#)auFV))q(G;74h)nP z@NpuzK!|(Q)|OB%xJ+%4Rmko!9RGP3xec6G?mBr<^jHH4g+6g>tCx)!4+;g4Hg$ru z@{WzMte4%pxI;scWZVeTQdSx!7D&4X|67_)%ou5f0T&pXuFrUxJDrR?E&)@G;@q!8 zoOOU|{WJjl$A4DiH6qvq1g5(And?~&bqxfr_lj4HvBd;5a@WAX@3G%xf+T*EvqSLT zfTMC8>M)Pc=AKcnG5kD*YpdNCH--L-WH`SqR4BykVPU!4eXH-0Yq`!Z~ymUW#15VIzTsTN5}fl&n6=sQd3mB|K@@K`<*46 zJ%vrWwzkkeE=CsytL6B;1p#Nz&?zaOU&C0g=40a6^1n87igSTy&CQkXaXgF-mAKxM zk>vBGlc#BVJE6g?V=W(JOwe2Y6$c0BE@>fQXnfKY>u0;uaTm`6e$kN;Lphk#?w$n? z{|w3IF=TCRA(+Gz4%Wx$qt8kMo`jV^8Tm$Nj31Hc>Ws98*);4PhUVOABVa9fr{<>z zb1!**wCfVPMh&7V^dBM$H_Ifn^i@F<#%um0Grw-Y{2~DykJbtof~wz->%$^?4-0R< zAPB+@%^uGVK4BPDmMb&+vjoF;LIJ@$cn)r;@Yp84YaX)y3{|^?_HDM=W_<>MbFj6= zvltMa+5QXW7cw+U|4={qe0_bqMF3Ry;!KB=>o0`0HUjq|BLm;w4wrxY%lY%#nMDW& z|Da{vgBKPFh=Uih-EH`Iuqbdk&&!_JjAqJMeSE6!+JM;D1|zsr?~d>iA>_qn`llEr zG)fvohG)ys-gH5FHotx%ac!>(9EuL%$hbZen29rPd{Q$SA1RCi`_f5nw6yn7%tY(v zZX2BOzc8*Ng1t~aBmoPJ(n8nIYGM8Zf?PnI#zc7{PJT9rXo5vp-t=VB0rX z8(zG~87K+Xgy|P&bRKOUSOCRt-%;?jK}EtQU>^kdKj{%}?o+f|4<`tX!)Ii)lzK3X z(7&o;3brx)^bE9klpO+CCZO@1)z;uyQoB7973`qyK>3 zZU3~nuF=P4Q=|%9$*t$)2zx9jQ|D$GrC7HEL(^>$tME8I${s6wiE)Mu82);KlKb`> zTx3*^cG~dQa83Gw@!1EG*>EsMs1k_+XNS8xJIp4weQHELRee=hHlXke&WkQrIp|cb zK*6r9uf_-FS{SYcuM+jGbFFq`zr}2?gq+c^>&S=qwd6YoawxOGl=77Rnavob_3x?C zU$r)uc3n}{1_!0V;eq1Lw7?+JTdF-~Ron0ZQ+hAtNmpm^;5@LZqv8$T7G5r-s^GaX zF^Na7v>cF_3D;8(*}a>5V1&T|Xcvt3yR`39Qd%NVbe1ST7#iV*@aqn;QUj<=dMrxI zZziEQwXFAYfnx^1%Fs5Ws2=HYq`lo$4hVnzF?D?A)?wnJJF!)gDHB+qhz+iMZe2x< z*$r82#cC6<%du3LV?kO89APqJ5S1`A4Z7zNuNEk-t7#g^4ORmy7{TYO^CgB&DKLU< z{`20Q68VrqT48Npnpx6srp$VmG|tQfNg-B#U~o7??OU@870ZOau($ExwNJcR85a^3 zS~OnKZjnGXw!X~4rwA$yj-BJ7D|1wyJ6UPH2^@D^aAoqwIy>9+s!79-B3&ZN(|=c2 z2A>Dy^m5;XZ`rWA*S@lg>8u7~DBx}!!RJc+`?Bj)GG~-;y}WCuZ?BYu`xYq#QtEGp zx#;0a(rx1c4}sod7efySV_bf7M92>BF-iR-NNfVOKQv495n}g5KriN)>;1aAK!}~; zCgA*c@5BmEuU`WIQU+$SZzn@x!(*!OrnmS2xe3;2skoFw8>AKDm5}f;NP=txd$P>K zfu(eB8Wg;&mw04uTM{1^IDRvF%LptG`1n96^#J|H{l(&&*FmN>0uXE_t!TyHV7q7P zlGEu62r)>I^o~w6)Cgk2s1^c-fb@ z06JuHhlr(_jB*vYa9X*FojrLTnl%n58*1HT2`-l0Mm=8(DO5**4jSFKob4#1&_ojG zA1HHq=f93yHUQ+p$+o;BoB26~gj_EJ2Q?Uq2g34coQuW=eZ>fJp#}ncHq5hV(O1T= zvX=-~&sE%*C}OqMlLXLjU|dhY_7WB&m3*m;vk`m~N_jLGKpy2A&WNGmvLWjFswIha z9mC8>EdMT6Sq8n!>%P$4!nJdeussO!D0As9jOEckJt-P>iv3An-;Fte#Rv53InIlx z>EFJSp|+wv+S3g;6oqYy05yO#a+&#KtE`BhOUMVCO+Y9AOL_)#-2zpUBD5kxzIc}X zekWDAXEK>{gG^&NFI{SR7sfE6YfWy(***8}g{&(p+hP0pRrA(+ml$<$Q6YPxQS=m^^ZG6sJxaTM|qPafNUK@_ROw=t&TUMYWNX1^JM;fXd#r&end``$aqhdoIcU}RQnFQ_7U zHW84V$l-ST47VFbj*hzXiU$@jm7z%D)KwyTma57{E`&!mq~j2QIPXl#sLV{29J@p@ z0xd0F_#5?!dO^#QEA<>YfDZu>Z6$fLbq8CzNqWgDON3V6WR8-2KF%L##sj)9w7ef&d+UYDv?7OnziHGj^VpxHg?w zxTsvzH*Krj3H982KjlzDqMqBEzPn{i_b`l0{84RK6w@)Q zGBQm;Ra+-cF#W1*dmH!gNNwQCj1gF7*OZbxJJeobSw3CIJKDWmZ&q>R`TRr>Az~X- zVI)WK0Ti*hX=kz5^j3vPX7TW@S=NTClAi9`br zkAnH}&dk|a?;JBBQ+@rEtSpPRCvL({HFu3vr~A2{TB?oQKG?;~dt>-mMd?y4V)1>y zc&ujA$(d-2z$q;gQ&Xo7I*~m=s(4Ajm%gZ=(eT%=U)NPr*%RFD^H;(H;n8oGNwnPD zivjaVD;|pWy605q+Jl=K6Am$s_x*+7)Oii_M_2dj7e7s zzU8!*`;5)D=qboZ+#Bm~%4@6Irk0ey=eU#vGP34pU44D)%RENbkJc{x8J><(2fz!Ahtd~@aww&+-S!3 z{n`#6ZwpbVL#e?QOG`_cK{MP|yA{FY`?_O(>#GYsYfD3^vtD7`+rFi)-7nRfD|YS9 zdZcLY$m)4J`XxO=R8;inwNJ6Fr*4Umt@2-~aX$L!Vl|Da)cjQ4e|7GA=iI}I?$=UBIX>V0qi#Gr;EUa&|x#8*Q_x;8-2B6dF(o#}q z+S=L}=?`am!?tD7>BbtjwtQ)Rrg1O%-QE7qVwWe?(IV*!Jpt#^wPSRLYa<<=R7Gri zSzd0&!OizI-@5AP_33LaOhz|Jt`I6Kc;_SCf6kFO|{Mey&>GjCb0Rvbz*LAP892#t$kN)1gl%8vXHg*?^K0?54y&-uWa=xf9$My7-}pnE!_+eGFK~=s^h6F+fn3{2#rvcDkM(*_z1C-Ai8^Z zTal9~)8p)=*S>RaI zNa&*_BnYNKgNU;0m5r}Gnded$n{Lb(ZX{~ZnIptn%7H1E7atbJJE1#&xK=DKH3d&# zwd)?La)Y&?aVN{xcVXN`?tQ1X?m2Y@qV2n$!rOlA1K#=v@*6BR+Y`VV;Z|D=fp`l% zb0o8@?2?a@&ylD?b1VV_`+KDf4$}V_l02CV8f$y zEbEOCg$_e%?$>wI3_4)Q7#K#~B!e(tR!@#~)h!v}J2cZg3$s_(qH;@rpqK@K%C87F zfDBkZUflV$r6r9O#0q$`#IbS77cqK`wB3u=ib9){7U-B^9eK zwsv+|xw)T77$5=9eHwh?D%83<-Nt0BsiIxO`R}>rbA1te9Op)1k|K2eg7tFCPggS8 z9M-h|^S<)mmi)i3Hvh|rl4AoV-*KCmnPu(OxaBb1{LHN2>P?moIF0Tm0Wf4Y+566{ z#5MVdq9V*(>Z?~r5)u=~LN_0p6yJ&?!_bCzeTdqT@aT~YURGNAysK;OGa1(N4dx&~_ohK632 zm7R#H1)M?=fE>F#le(UL`!-5-ZSm*0|8K&_ebP@kd1>r>o~ePsmxAEe>ubwC0|}-n zQw1=Nz7Qr=(tvC(25)u#f3Bzh%f#?MaFza_rYlbKf30(X2LZ2Fw-*%^Wo2j2igVy} zVB5;$H(e{$mS?GE?mv>jNC!N;P{tGM`>WaJp6c`EiPudKJbNhZQvvO}*x%Y@?b)Jc(WgeT&w%JosTr4RkMRt$+_;ae1#ScDzhK$x$5ghEp z>M^GTXsCG)$3hftuzKp$6zmHeU0n&jX942F7QlZMmavZ3Bv!$_RR2+#9E-PRFHQ62 zccO68?tC!kH+k@Y!_gWLE&pv8pfW!?dJA(q@Duob1qcAn@juMT{~MFBgF~I$pYJ4P R*+5SKycR(-_q0{${{Y#RZ?FIW literal 6906 zcmdT}XIzs@m!E_lQ6ffE1dK?RrhpC6AT^+&BhnR75h>DwlxqY;MQNc48bAzSP(ZH~ z0R=8t0BJ^w0wEwEgcf=)JKWd%?%ogY{&x4v``ZtBo@C~nnN$CB=H#9+L2olk7zF^> zjMvvT1po=ZB1pX4@YRX!sDQ7dJ~~!DW*(P(i08eW!I|?up4U8luDM*m`Z;@fyLh;( zC>~WjD3873sPUR%@L z|M3_j(9?XD@oBP&T%#64)zO#Ofm1Z8lEfyE?sl19kkH)PlC@n%ko6!_GPhugHZiO%x$37Z(NGSSKA5=E0U|JN)M-}6O&rlio*r|;Gpc1=b6K)guP`(Sv zNSYY0s7A}#A!B%nX;rSthRxax&4Hs-E43JB%}2hv3M zZ_>Yeiz74B5blkcbQ1nkKmCXtIa&2iA`08}`)fuyr-YWgSoEjhJ5Y%2_|D>G!mY2L z<68RFISJ=`a4fsLmIo5&f9WsLVDy`~v-2VW5oTtY*m;L^u@?=_SVeQ_yhC}>EWX={7gretvC-2?t&HmKbgf%~|)K;?SLi60BsV}pJf7R$;j z`A9@!ZNFWPLA^x*+1OOY;JIWrWw}c?ZJ@WZJj5Kz zVfv$HE6q%rDLbJfg5*sxIuU!!Z-#;tQvT&k(;siAso80B6eMp^cADQZDh4Hj#MK2Y zJn>muEH~@%hg@WV6EUU4c?#0)9{J#C#580ZKb;*< zU&0nb=g|Dd{E4_8?OnUvnZWd(PJffE>jnovKc=P;OB?e_0|I=edBzhsf*bqqDja(7O^5u>dX{0zySmh zKVMGO@RCN1lhyeq_$X_&dq~b0;O{;8fj$P~1hH^^dCYwe2zml4A8k^Mkvcs=5znzt zFlQa*AY88EEEWLe#?V(A>68C4I%&MD37Vr2zH);rrBUE*U41-iQ*bsgeg3lfA47j8 zT#uba!pt`(7$CICZ%*zF9OZvSI&NVqDYMHK=0Ja4gRiS7FA@ciz2Up5w>Op{yY`+c zZo7p|{}ms%4qS;*^?@eDdGU)5w;e%aFo5%8ysW8n=Ej)0WvSX0PA-_rWcia0!=3F! zRF6NTsB1lIc-FR8oh!yl<&wU`dMO)IIVl5p<4vAYx9$td2Be{<0PFcNGA^8dl7iHK zuve=qg*zl1NvbTFv!)faKqU_t7&87G`v-1t(nr6aMxcMo%yd`a(1a;~wF{6{dUR@G zc5I~WAX@vc1bF$|%s!VDf2iMUmEYdlRO5_I0NQGC(X`kdTH|uI&EewkTj?19+dN+W z=rHf8g$=zF(HEiA9TUB#^W%`p?d!WTn=)L?UpA`@oI6LOz9*v6eGLq{Qn*5*prFh2 zB@t9P`CRY7|+*VU1`17UPp&2|UcCJ6TG z{=$q?3Wv`I^lfI!IyUU~cvHv|whJ;QCQ3P9hT-q}`|G32dwTT{xS`o`gjy zg>|_{v7<0t-bIOK-r@+(CT-{7DOKYM6XgQ2&G~5s{;wcHmwvd5rID;X~kr4vfcd6)> z&f7C((Q5PEBW*%xNes|7@GEMmsDN}SYpW$an2b9}QVpcb$%EKuVq(|ev3^$y1;nLK zI+XScLe}j`wm;f1Xf?=6e`fM$dhnLj85AdyWMHh3BkpHj?+ePteT&>Z*d~b9fn;qH zz4W0kVTj+jecO}}#m3b7X`5zJ5#(@#6nU3BO}HlsaeZz4XkWNe z_sSxDwtblpi<*{jODfPYy-h9otuL%)w!KV^LmL`bs_RC!s&5Wlq{YNEnfh&TPc*sU zvrWp&lw+;A+bbbboPN`TbZz&#Y3z<771cEQxpKWEA%V)(t1oQ72EXc>T;D_K_bwz) zt&JENqP)2}A0BXz1eV6Y@ng>)LIiGGahFKydP2*hM4E#Pja9LBk*a82Ine(`4QZu` zAjuXpga+D)?FIq5bhd=^Vx-`~9S);y+>U%)AnSArrj_XDN;coeN~cbe!||mpPN|-? zO+;6Yml6yjz_#Y(P~AGIA9a~{L0KcyF5+F|Iyj4b8O{glX*pyR3L4fJgMrd)gSsXp z*#w@$5~S2SbGa%rtd5IacIS-?-yBzTZIV(|e7t0u=bG>_^NzRQiKt2eDWL4yr%Us2 zV9NFwGRxgJ14|R&Xt|NEl*RSEDHjeDbA#tHKzXe7Z00xv#$t{yd%Q@)5e9qKzyN-e z(8Qy3Nfyif(cr)$0lDx2Pa;tt@U!-;Pf)6O0;LgtEb+n#AzrWz;K-L6XDEPHRm3eK z1u6%xrJ}ERAS;cISHcn^$h}F7$rp1i$?m5*0xfbHkeUh$^zF))2(ed-q`;n=qmA>R zk`o-s^1kfCIL4HXksoO*apSLi0zjH;d!wE3T%t{ov}Ojw>wag^*up&?k?Osmhg028 ze{~r~hTNeo2vt@6)g_2RoSTAo9??uvq`$uhqt8T&;L{0F999m}uWr0HH~pcmBd2{6 z`O+mWa8M6?f~fLX`}(Vys!gyCuzfcX(wPX#;i>glJD@Z^0p@k1g{2UC8azgEfg`ui zS5uuo!*b`lbTWgCl1AplBHgI-^bSLZTcCK<<4uxYT*I)TGsF}Lw zu_bC6d^*Gu@4eBFz z^3u#C<$daj;4UZT(>rVloIfmhyp1g+H}6p_bTTqX_8aSRvbPve=R>={@;@#%FN)+X zgEq4dY#>Iwj+Lg>67L?`b(jz^YXO0NqHkUZix@989AVRQFI%?YMxm8 z7MVpHouE(^s#Fj|?M6#|douIvf~64|xA;H|)~?Kexh!U6TwCe1NkR;A{Gl63UYp>N z6$!MQkOr?F&LrgPSFFE-A{H0}k^}_cEuvGD47Cska8M;Plm{M*8F#b*PH^SN4*HG3 zMZ(tK1}TGLhTz^OPM}ZTr&l#0RQN|K2%6&asNk2_1h>G`zh-t=Gi9ru7qw}G19B)7 zM4Lyz!0D3#`)!|kEsfI~X>2Q>>%eZz1Th<-FHu+LWpr_RaG4+|Ha$4qFF-}Yb-22N z&kAc;AM>mvlDBcWB4a2D?3!VE7-0;+ z>L|W7&Y?|G#NS-K+U3NFRfDcaoq34OwUOQ|HmZ*IHVA;9)!Q zA|01<%wo8`iAe4rX>SV7hvh>YfR!4;bGl)?_{RaKAZdK+0jI8c|LF!e69dI}d>|s* z+HQDXNN42Wn{(&J19S3;%zY%s9tj+llp1WgG)~O?`0*ms%*zN_-;|UnAA6}@zrzk3 zF@*L=_ZuVstiPU*Sr~nNkzweC!da)N*Ln;X(1`4?n>PSoFrR3DL#K4vouRFX~sU6{@=1R+USTHts}Wm2a-o z{|KcQwl5L9uD08c9GvPG2;+c$)Lxranl~-g2<+O<*~BO@0?LXh>F(X3cx|kbGJ# zw)y86tX!x z+GikPoPE|#^30>e7jUuO8qpZ-rsLBO?1LtCEG#XrF3qr(dIfGi+k*Eux#{He)XUpD zVQuk`g^|4bv^Q^X#oeVgYHF(mM0TymVb{c&7Bh#H`NtwGvZ0{ZHXNzo2GZEvoSOK) zV&~CJYisNH*w|k6aF@0s&EsP2dV7MY`}Cq@_V3@{E7`+bUn`ztGxJk50>ze#fBwAW zeCd)H(Lq5$VQHZ+IyyLLX2@iAxOM-NbIpEjb9b;2RflS7YMRT~<(TG)}Ta~TyI59D+iAEFRX)U zGv1-xo9SumD}!N-_PMc6HP<%zvCd*6MyaovogIZ+KrE=EQyIa_y?J!YkFUuE;c3dP&JSjlel`XLyg2`FVV%SxZh)v90HiP_>ISF;16X?pqWV7FG?I zx$NY5)y=!9ZBI^M00B6q+LHniIzJhTbwo6*fLUQ9v?ADPEICMS5|@s`um@~diBLSXUNsvz3pS)JAEOIluaihdC&zAOCu}q$e7L%5i58V!7 z>tsTI_p>YW;|w_&nTf~sS(1i{R~k~(poV7$8!5q`4mhta&B9npTAF7o;XBHR`7p|} zA@7y7mBrMrnK+Tj($Z3Y9i7|kojTg&$)7x=K~3sAzo<$3nJDA)C3hn1r3e`}V9``TF|8^}e>WP*YNbMUVR%_kD_Pe|f&z z2Qn;0acRB5C_C;PH{L%3WfQ=v;oGVUwVAy#T+BV!C~d3lwu zG^J_?AM<&3;nl-{nV~0{hDpP9`}1c+H{npQ$--aP(9r5u%*cWm#qe&@IKIfS(R2(w zu`;2xI()Xmv<$YEcHk;yP{6Ssy3E|tGHcID4^Lfvz4@6lk!*c%9AbXB$cZ4Ufq{XP z!yc)Z8XwadDe5CnqfgMG7lQRTVlF)96)Ph=c~CP?B~3CWg;mlDW{;&dV7cckh(Al zz=A)l>;1iL3CYQ__`0U1vjjqv@b2BvWoRE*Je(RH8Tp0EbRq^IKEYa{$H36AwYk}o z-sIL%fL~l(BvW&3im%R%ez$%XP+022@}jRh*w{Sp=;(0TQ(RCWaYC77eD@z64Jb~L zTc@gX9cC3~Tx)-AoK0}q+qcKn)YK#o>>{QAKm)Yb&Bf0S8_tzZ_0KqCv<9yIDI}yV zyxym~T}TKXV?1L1xU+V?t-CxvbAp%mkzgmhC5%Gu|3Rbr-{GRab;|#r2_T;FUynI( z3bqQgwf{Pr09p`+3DWX~)sqv!OIJp}y()hSc==G!jem!Iu$K(~ARv9+|1WU7aiQ?4 ztE+{LP2gx>Vq#+004G}U*X^kC`%#~vn5DU~=Xvl-<7G5-M_`Yoiwn*Ex5WXK?h{H% zMrY2Psg2^plHj#=Z(?#XEqHlOba{c6ow||sg??k!H=lqo^(Pm@wsVo3X?*@AS delta 19 acmX?6exiJXt~r~5rLl#fOX?Q&OE%HCZ0wzw+R>-oPFCm1ppH)mrhn=kQy*IouWp>| zO;kzrJD-)}p}FK&<{uCcfOdvG%Uo>XK>tFV$-p+D*Fz>4C%odKBr)_0^80;6c)^Sv zx8cz1vy+>Tpx3qp&fVzMU7uqsdR5H&|J0u|WCUR^X`erTepDwMp^h&cP4dVJ^wHYJ zi4}A55iv~q+mAZorVo!qsEgGjaZZtfy4e`!wo^nq&JZ^46C*Cx z<72P-N9LuUN8skNz9KeMXFmD+&5tgY4}YFRMeT=2vZD#z@&%yTZ@JZnpc>m*E@S=o6nMKgW;St@-GZ_G~VK z6RzW@CWMa4XPQ*KypxF8G?!6R_0!XA0xW%hyvuBbCt|gew&6i?*RK|`R^X9VXAThk zjC7cNvmZy%Z;8r<@PW-wGEJoHLME_#b2KAyc^Ajeaxtv^{y`d@5^q@K zbjX+U>WltrN>A;L`Do)BHfy+i?BghUC%GiI%&w50Lwj`%PYus(l}f#%zRBr4YkGj> zkuROfiIESgY}$l5SlarV&NT+c8NT#96wG<`(qd1(yVWdJt9&%61Y9yQbw};~NrolhW?8+d<nh>h9G+?tcmHEdwIWUWdXK)yHV1&(*?YchHB3WT4Esn9TSwqb- zVx8{Qnk6P%W1+;4KB&)Qu-55IfqV66k}1a*U37X^!d66=2JHJ5yRr#~(0eL+G*>^( z-n7bF)3b5|3kUS8OmxZyO}!lEryfm38HMa-hxZ`*?!abqDIxs zRt0fuBEKWOEobW{%q_eW;VA5$kRo6HS=PHxXD zcPXrwX|IT27g{FW;Hk|lSe>EehnuQyhCRqZZftw&T`AUSYp(jo{0WX%`yQyt1a(%D z)MoW-m<>Op!m9p}w)jw;gh!sKD&FrrCUd)bF=vK*=Y@?#yijZ#fbU3|kdn>bK5|QZ43rJR z*{kRYqv+%mvdXHQS$HZzBa%qSsFyXGDVJcjW&d2Dn|k`n#r9O2@Sq7%hRgP=%H0k( z>8!;biX%l$Er#D-Dwzk_r}zd}Olhgpf?H(R!X|5CNb@~eGf4KhgUGm1UvKm0?0uMa ziL-#4L64m(F)yiEof-a7_cPCoOM1LW^nCe8$xJ)NGtSJBv)~~Yul|cyPYK%~B_?2- zu#YN(#9?i%W2sLS6EUgbhi6FAW%{g@&f%T`nT=>5hlCDtwX5*>HR+Pa;4M?}RQ<)? zBJ==7^nl=g+3-hGFSRH3KiYeOGh ze&?|09ei!dlOW2qMHHf)KoEtaf~a$8?TA~LvGqUfx4P@2hpZrxDQ;xw(qw3;{*tg4 z4uY5&`0cJ~*~uW^2~nvJn;f{Te5#$|ZAlZYV?MknZrv{ScqcE++WQ|;5Q-!!6hsQm z-Q~gvVv$713`4KEV?Jl-We-LrV4eVeZkLo) z5>Kr-s&od*v5?gjl%d+lfcLDp;?G{9@<*X~E`GIBIXB=~i@GO=w_Iv!yENX+;@3p^Y&auw zB1&{p$%~7_Bk>e}Yis|EAoviu?cpRZYS`Sz<1{W_Q6u&98(Gd+>rABhWPbVr-87b{ zAiya2zIO6>90EA7f6Y^(T-r}of6Wf|r>*&N1a zZ3&aC#~ayAA^MR>OnyYQRkVP)(so-t4hxZ++!7&E=kvICNgYDS(@lwi6h)rJ~r#O7AGPwZRR#7C5VYEK;=63*{1 zw@+1HFz!-^W#F0wG*r7>)7|^>?YpEF4sUk2H$I?+^74A~nT;Cc_J>dS{8~7%{ua3EYBg zUwq4}6b~i6Me^voO%B_kHU<57=dR(RKle%Ac^=%a0TO;O$kvd3JGnl#*^*m{QQ%5Bk0%@I120&V!`fau>Pl1t#IoziiSa4aZrNR%i4yzu#!V z!yAYrKW^||%>Ut2o=Mny=r#||&auZU#xXjtl*>NAa>E~MNx@5%6fbIzx3wxy6y!6@ zXVf*ZuB&e$I}u-u93o=It`RIhId7YZeG0$v5vAH7nej$ga^X86-xB-nnR*)U6nO^p>dC_FiwPq%Gik8QSLg4cbvT zc9i^@;EA&eT-HQOcfV25>R=Rz{?~j+Kk%vtuJ`Q32h7|VLscWG?|8oG^!suP-CZ1) z606wj?duK761lyLsQmHgSoR^r!d?ZlricA^|Hx{l9;9Y^faxEYMaNa zWdj~xKeHwpD1I>Bi7IL@CBTij>Gb$$vHed;ZQp#Pe&mBlOlqJZN{jd9A%=)9b4#KU z)fF`-+Dq**B2#ld(dp(+(n&{Mi6>oMijBTq;j8Z3t~P1tNx*yOzlzF=2icQSx4Cj) zhd!r;nB|w34b%|!CZ+P=D*jpiF<-_>W#rKY*mg?1m_n(r7&C}u8nb5pRSLt298^43 z{bRPbxEA~~5k4Xz8QgN0=BdP!BFqURJ=piT6OuG#ll83umq?{DtYwkPP^eIsv{9L?fy6)UaL=amNZy4quc7~K1 z|5YU}%Q%JP^pBi6H`W}RWuVt#1676IxamlrcQbj|!=BQ?Z}V_%!UzHgchFwPloh4x z>#M9$_xN2^gcT{TVxpXbC|2_M98FuxDvx{TvE{I=MyhK_uFHYQT&7!=`(w}E!m(jO%)StdlV!O394TwIwb zxPdB<=yWDm?GiP8ZMn{L59(t53zquZJ^E%NsD!;IICQwWe5g*T{&uUSMUA>yhSGZx zBl$U%pL-3n>qnI^R!U7Y%7Di>OY zXDVa(43DP5Z?Oa3y|3sclaSFT^X*l4R;BUa4t2k}*1m2VC!CI@c`X0K9d z-jyiHG}J;;lcL<@H4OiL6Bf}mo_i(O+B>l~*rTN1hdO*$Vk0w>H5)aQ4{Ft@PVgti z!V;9Bh3yMKAew$U7c!QMHB?#)v+7{eB>^9GwxWar1!xNLagDXBEuSBS&iHMl$L8E~ z4|46S0|=s(Qx{ZsN@?*C+gd6n#eKp&)Q&N0&C-yZn^sx&b$MbE%IE+YoGS5r5LMu}Hr{>~II%B9& z4cg|ux0{YgJ9gT}*t07D#2uxf?S2}j(Vm^pG{G&M1B#(E*Q^6M?7xW48?k>E1-uS9;Ha? z@7`^7p9iNi_k>r>e$@(@whx-?=A@NH1D8grRL+l|gU&!xX|!dhZk7S%{cAXGH@ir| zxE%sY>?U!Ro4+`Ai6gLY1LSPR2>gKIitj+rQrcTc*yeUv^{Pc}!bw_5r`aTL*wIAw z@(rjO_o>@M!hYSoL`Xi%^MISeHk?K6;A>jXfE`LO2-XlYPq;O&b^6tMl*I4CqUZpe z`0aEWPi1Ui)cy|#T`%VMc~h$id);irv9CJ;kM>3X@(4l=!8l=-u@WDgS*(E)KA4eX zSG4o6h3ZZPrAT7!-e4BfX(U!J8*2O4-McaRQ2Cfm1y9^#9-PH#XkzOG&GRBy^TV&X zH=w-D2K$Hy9iKQ|wSW)jYd(s>cr>AMp*E*`OJjR+(Y zaCIB5-Ng5dS}t0`NpMMxMC_J#;rm0hC8~X%k(xAf(*Ec1DF}EzgeYtej#7lNG#2=ZLY!d0)jX|no?RR_gszUn(jH6FEL~#}?PT0<>1vw)=tWf_7MX+PZUUBN*asJ66atFXsxQ0gE<6>OgX8F#eH7__0fqC3;z%52=#Dy*vZDcg5epfB)>N|-F z&k1`SF6m>ZxdfDDRL03p9l68VTGD8tgC&c7$`d_h!PA@yGLb|a-}O0~6QdnGpUeaj zj`)Jn6d?}2qq@1^6r2ywj$aElSlyiffsZ5B!p&B|Cj}U>5}^}h&jSuL@LKWt z2Z5rUHYUJYG@zVT?=xE+lfIry*yeEMDE5S=pJtP~V{Ou2LU`2z@Ua3v#7O;2uV0L9 zz;nYj+mPv&E5yu8+fOJYmJhf|7#W&bW?E^@>z6|hfvau^>pSV9U$V~crU@(BVrFZ~ zv$d9Vf@5oKi=}hy@I*E&J}#aI_v}U)RRf?u{pv$*;SH;}1x)6d8?2%@=V{)L4nJ-n zGhSS4{Yv3%&BlrO7tGeQd)(KPl}_C>z6~CK4(dMyBs2rVpX32`LBrMn1smFd!gmMY zPi$$5*poY~h3sJipJS<<#P`U)Qr*Jr1kd906Z>%HMVo(dckA{ zEM~rNhiw_*5Lpd+O~vAGf6?Ns%_e_6lcN<#5S69cpx(0i6jbVozRKVR@Ln!sBUsF+ zcZFo4rUvt)`37lmh-O}Mq1x=#L{(+v*=+MSA+;`?FH?ca9A1+P>Y8y{{66>G$aK=L5wEI>kP%U}+p~zS8X?Xi zjxKC}OBKEdMc)6zz2e1QU8NvpQT2#U|@-C?E^&@{BCz;#f zWh#y`nN8?`h@*l1LA3GDG}Xz+hMaA;VUaQ+GnRe!fwl;I81t*mBmm0-UY`nXO}LvV zAJbJ7qqX*H*QH44-Yrf+x;@kmXfHbh3v&fT!p+!?EQ#JPK1DV;^|XUFCrg|zK(Y1gSE%n#r+7~PO#E1^=-(~dET6);V0@tpvzq zNw#bj?bpbQlO-L;k~i1F0iHN_Uq>jcn6QnAs%NuFhgE&1H}U-?&fRXmjHTNfV0J;y zpnISLs%`0UO&_+M^?f7TY_X4sdwYFMjk3BrYmRYZ%_&M(o*-jK^!0=7kn2Xg$}1APE{TX=z&94rBE+3EUyklxXs24VrDv`*N_rQuj2sGoKe zp8=-^MGB+a!@RS2i`!Xfk+7;qdqhauLeIT>yv&g(QPmO9)4&cgWpXRX@ey$*U%blb zkvWk|6>i7k?UJgNs^P#CjzeUQZyQ)myQxVWg}`w; z2DE4BkU;xNf+I=A4}}3)5z-sK?Zv#ZEN8)syMeG^wH4B`8WUG-juS`XRgXqTL_`;X60CCwv=&B%p>>w`ng5W z(zTryO7a=)+q;ujcfCXNcJo-g^Xeg(BD{q@*?T* zRa^;cL>7?iQK+WG(L&$~KuMc4HJ47_Og;|wcfT?e6{E#^35!FS3sn&D&J`{?R90g> ziL?YH@vJjwM&Z!40DbC7T_@e;Gg#+fWWwK0Xv{vJacwdK>lV26_@svpi@<6K!q&ta zR;y!Lz^_3+8XZxUv}2Q-23S`=B_YMH(PKc#)1q*N?mUMfE)SQNSFBvXpbXb4-s);p_A4$ zZcSrwO+P?21-Fz2)R}8z6b4=*78J?moKco~DRUHB0tG%;X+1eFkHATEMzJ1l_nK1* zR+|m;xM?!sN9tch3kvRccB%=Y#o}(%*}(Tf#UM6aX>pa=dLjH-bd$m+}r}oGUgY@ zI4Zt;c?sr2oX8-rv6zkOLJ4h%6g@4iD(C>1G00+A=KuY)+` zP2_Mu6}D5r7|%4FIs+_V!QcIhrNi>+z%P^2;CFq)%G45u z{|U8(fp)L#;h_g*sAK58DfcZ1skyAnKk_7BkWx6A0bG|50vlPeb{VnP=(+Pi-j#+*T@IqLa+5ae)J ztJO^iiLtyY-?^zGIO$>~IO*H#gWMo0&gJ=tX{~PX$F@U)vpNq>{WdXeDuKIJvyW@v z;$oTkl5)R=!WIk{4^(Q-rcGpZK+zaxJKA9#16<+CB4AizIUL;1%U=rqZ#^2^l;|w) zX6zs32tjcMhaLJ9wq*Lp5nQL=)~(I!tXVcGN?8V=>}H5Xw-b<|LYLpRuV`!OvY1VX zA3Na6XpiCI&F!GPumV_<@5;HGeB=Kp(G2jzaUqZ&1AET{{P+21(-9ok>KlF%Xaz4S zWtbgh2(ewy6M3K$FwoZ~jLQIKP@w=|(oA}|6_V-Fq{~vM41VH!XRr!if~H0gG~%q3`M_$1;CIcn!1W}AnVdQUKC z0x1j$&5d?j9mCBF{0{{hD_8?hY5Sl$c`; zMx#boAtO30cg6BsoHamy@^MI8#v&qif}@rp(@w)5{>~6dRLTRLhWulv021!jcf3Rb zG}hei$+6|x%jYJP-*%HPZ$D9R)g+VHz!`yNKz^qVtoawm_TW~7 z7|Wu+-rqRjXHH@p`s$Ii#F(z6{iGd6a=+5{;7e!UkCkoy#maP`hE}~~Hu?1}#eOSi zvnu$vv?mCL2jxk?{UA1K3*Ea;G$wBFTBI2B97(h9;qM$<^Rn!zPMNW!{pR}OMu1s} z7f|;{PNBubNTfkzJq7k)bN+*Vm+PbA^?MdOVLJ<;BFq_!pb)JbSf=^^SE z0OMM9>Z&d39!+q^SA$5^_O=lUG^Xv^4=;{8X4n2Ja&zD^P)DmSa!zzC6$XD6GMSOL zF^!QtAhD(5INc22MoLJe80Tq^FL77^62=a=!vTU=2SkRVk;K6{dho2M*5tQnAI{zM zDQTa?h!$B)>cg)`FsZhYc!{Onm{7V&W(@9l`IQ@tJMS)F4I?J$IW?~KNC3wajzN~Q zc(zmN*^CcW!}3bz-$nA!Nf#!P`$t7p9B*g|zuF<}NWa{#<#kX~yjdrhp}VpaG2L@6 zI^YX8cFzS=I=$g{{NQxsGOl9GVajBnc)9yQ&2v2$)H@D1xSiuZ{BUht8~M5?#6iJX zc)(&e#cCidaBg|Xc^+5Y`*>JB|3#!Y)9SSpPUMi5=0VjqS`8*80HH2b@~>|G?4Fi* z*RM2r{E8SeT~tkGsLl%Dv~_ib635mCm?1&P0{Wb!SU8}#?q4HCfjeGfgJe{$4>{<4StB+8+Bp*5?o6HEm>eHJ=DxGVJaqm2`%$FPUQ&LQsF2rG3)Jf9lP0pJdq&^qS%#;IP$C z!Qh2^^|!zN$bdOLsNCZLYO^W51e1w<#@#G@_!>R-t%666) z=6E=F6TO#emQ0u8ZJuJA044Yr8->rQWO4Z~Or$Pk5z82NZLvjK^BOBDeb{MbGx z@a>&n|CQ+JjRzdY@nwB+o<$(KVh*s4Ehj^-&k3{7=TTXV;pf@Ve-NEdI_dZ>d~Oe3 z{$6N_Immz&6jGo>v)0DIW)Fav3+%c2b^{`ELgNJ#b5pCf=Fkr`9SEtk!*3s(Vi)4hPU1zHy%Pjk1KoytM^EUWzD3oXjK!jfbeI6t{IRAoBsGPXgkii={ z*c!C?P=91J=N{2R>JcjC1d;rJ1D4c(jB;^lGB>7b!hn`*NgH69DeT1z+&?A!?K40R z`ItkA17h3uExgrzOf~|q)LQ@_bhZ?G`)!Tc1Vf8($hc0JD8fze5ZWLsJPCMYBLy|NhEiM8lAH%_g1o9a`XvDY^4!|+XOF*8WdjU39Jh&CN z4os-v;v>&s$i?t!m&SQsaOg~yPh@TA{1~wiC5E~8 z4-8~#URgz~w9>TLmLRg%BRnY^QEnA2Xbl$Lm}D#Hc(G$L z5!6d77XZtUTITiK*i=fLgw|l;ehl6|#rs_cL zVw8kH8oUA^3BB*$_vIm4!6m4|<}WuV1Scuw9pm62-iD?VyVnfj&G*;sEAIs;{E66O zW$1PcPCjJ#(J)OShBq9Pa^ebekeibKGFtrtm~3O7s(CZeJ|Ip*OG28= zmxaE#+#n?ZqMcE)AF~MG1?M8O5UC~V6Qnn>@B29rJ^hx~X8{W}$AU?5{D+jJRK`-= z!#XSx#Wjy9+yjDV2wFolC&7vNgPUU&Kyix)4%n)0hIz3gQ6BfCNtH8zDKSK2V1yXp z-Li~~!WS}z_3WWjCZ9~bdfIpJ1|9}YV=!D8f{w}e1hlxVS zwi8+H71h-cuWpiXuH(M~HN;*YXkXEo#fLAyg(MW*-KZv^wfsAznC4(8NXE651F4>c z_&JcaHn0S4X{DB%#OO3q>V5`^&dmS~Zf#zlWs6r%gLablRuPjNGNXGW)rI_~6(Gu}{vRYH5|c#zibdAJYtaXF!kXWKGz;a~$J)y}a5vgx66( zZowXpOi2S@Sr57y>J`7gMKre`v~0vJFG2f0Fc>LpC=>*hmzY^JU5fgdib*A*zlN=VsBIN77emunf-$udop&Y7 zMh1>iP#%`zfqbLz3`fH=GAi+Mdg6c}bWjF!qb-ag6j=?Un`!9vHM3=6Zznff>n3z$+}7|+3`rrV*X z5u=uI5ykz7qG&$hF;(-aa8mw@je%zN9^O@GoYBFODJX;~l>aMW>&cYExshddsYxAF zl0sT69*CxmAuYatMeHc(0xW$4`x8COoxv+`=782QMbM>ur%T#b&Is#5n~}`zrU{}% zD1*`-{3!t{Kk)@ziXbNaqJAo9wTHqW{|*4lz#V86du>n@uWp6u-sb5t3E8TLXpT`7 zCx2?_KHcN}bQzKe2;7htjL)pEnlC|90HPt_oViG?#|@hl(taw~HD)`If{iuXLKVcM z(P(e1xlHPxbB8(KcxWu8=mA%79IaEDY?MCyYA6S^y)>xRUFtZM|0!T|V8M4FVy$rC zH05Jvlg~}|6PrIO^$}Q|T)?HGC0#`G#LN`-y88XYWTt^^*W4oR+^k zC3~SRKbQod!0n`;{qoYJxe|AC5pX^ItVJ~Qwig-iUXn(o>S0m5Quk5jm{$Gh6A2i! zR0JIW294T-n~!ut9GC%Fi&hrwqgYNTPR#9y#>X9xbyt~|~BvG6o5 zERRx6Km>lW&x@>E4>T(Xd&$QShY=VmVIT}ZY(ybsexk|DTCDDHjQWy|Z} zSwooFU$NPOCDfxi<4$JJ07SBE>Yp!wo%3J%uX+s+cn=TwuIiEdD3rb0zEa#uqOwXn zg$ARL>{8xjI;q%kGg8;}dS;W%T#w z@+}TU<&2ITCvIp#P>sPFe2N-K+(OU1{fv%oj%%oxY-ERm_ypyas9FHCffn9C(R!Ka zlS(>t;bMec=t(qgRZdO>!42vaLq%a}o(Ir28e^_#`x}qwm-KbGX3=b;x!OhdbA`i% zFsuNw9xhW&SNZ@mi^e5Ifu2EEi^yc3P!SN=kaMY`J4bz&%ldLA6RVdm`@Z3U?Kr{( zi{USh6b6w4WidwQfAuiT*xpDp5r!rv_Fc>pKggs9Z(NuuF0EcN3|}ll&ocu~3mZ3s znOgQzMEi<}Fy6c3x!d8R^nVrW&Dc1q9As<8jICFoKI!XQm}JMpyfo-+o-*TjO74Ze z=!5d?d01yQvfsk1bd~~C+!jfzN7A)oxrMrO3$1`Fu{@Mqn}?vEgi8`u_90%-1}gCq zA{iZ&to1FsHoOF;X*h^a&1@BeMib!yw|Q#Q2x~uR5$ooVi7@obH>`QBm_&IB-+95^ zrv;(YrzLraTYH{IZ15j&fcqFvcukk0HL|e3g?4GF11AmJ#705bz}&W)WQhVkoNGQq z`<*-1(8RnH3yfE;mSi>tj^>-&yabd>>_k~a;npJ&N)M4^z8*e`kDBxMqr8ICEtP?C zPCA7naS&UWlnvYy!m#b#SKm6VEYM5a%`#hSpN5SbZ)a0V^I>3qW3vUNUE(mN-7U11 ztpz>9Jiy(S{F5m2#m15nmvP^epOgMogrzOzP7|a6c=hDMAyt2vkzXt&mZ>m&dhZT+{I0 zH7bCqTduf?!}J7Fi*~7@nu?~)II)uXbarA2;R0M_`LJnF0F(zv$H=%9Fdu@E19qv1 zLP0}d@Fr+?cg~f(J3xamDVRO@=)!@G8zL_bfZ2o!jYW$IQ3X()^?qU&;!G!Mp>ct* zV%7cEJ93@M`XKM0N4b#Ahh{y%x0;Y&w3)$dS+-G0zgq@sqqEa=Va~d+d_2g@i)LnR zI{DU;>W`4M`0wTMN;=l-x=JN9XdeV0uUj}q1{M3!z8a!SdLY?pW#Lz z^m!CDz5E^}d4iD*O4I}ayREx>j)o-@QTt(DKiYxC&H5LJma7lODOG!i=u&2&1u zig2i+C1^}6LtA1pcVoFhXt&Nl?)pdc`8)eHGXi=~b`e_9aUHrTU5nxBlU3vsHPo1I zg-L<|M^m%Z+C#Q~|6c+&hPpZqVq9mwy}xxBV_4efdH-T3)$HAoD4*r;bZXzLYd{~M za8M9}3XW}m$s9$H$nbMJU4`TN>&-N6%?psdaWK#gS$a1NNP_A@n~g~C4fUH)kov@} zl>ic334L&_IB@XFdI9s_$CdUYx;oSn0jqhBfa;ww20&O7K86$0~xo`hxF^DU3CC z`PMsqAA~fI(O<&{;rM?!`5Sm}i{yc96>-c+RZ?ZT7#W9-LJG%!ioNE}`TgVZ7)riO zYL-fBSO6%Nv}81_2F(D{`zvbI1}ysqBB-2KEvL)u3xN}d9NT8Jk(T`D?i#`EMTxTB z3vf^B3(PtWbPm(nmE0j%5Su}iQMi89-^0hK!>%&8XDC{t$R$?4{W^e-ExU4Af>DRi zjXGR4x~fP{hJLB{>Y0gsco9L)x$0T5NFl4K2@cHaFZ3Yq(jM>j#g6|f+DX3M-J|j0 zlP^%Wi#v`ATJss1YK5TL5IymuY8(;fq`cofLox@D;XKV zghS4H9Fy~~7* zxy>W!TngttB2ZMU1nz+2_`k($TY*_5X4AJ-2aBPR!A@%*mX-vDji9R4jLp0f=?b2l z36Gl@;9Sd6Zbb`pP)+81M;;#~U|~EnWe0gr>D&cu*oJ584YGm<@p}i2@Lfu)$}v(JAI-V`+K- z`+|G)WW@vpo#)^(9t4@3r-lDGH~9I6``xq#t-H&W($gOjUw@4`VtNPW!s1~LCKCu1 zjC>ca>=$Tq zx#~auY0=~bT)AOoJ}8nfVn$&|W?$^wGNlWQD_kHe{Pvga>NQBrK^t~XP!IBL)MBsM zgiMzt$~l9^H=WGru$JW(y6&L4_LVm~g3Z!fdkN!Kpw)>54U>$pG-#vWAJjVx%ie)Ii($R0aq|@b7!b!b_AK^=t^a`RqQx}|An*QjXECwTC z&>N~w1P*`btQNqC;=}tKU^aVaBu7e7x(Bwt5Fl&-AP_s>7+KE*A|Qw zEoZYMsD-lSv-v{hr9>*|DEkXP5Wy>J(vukgPML(SdYn#84IIST$k$Cs4_7= zepE2yKSOY{QQqZ~&TN0RU!Q;H$Ul5WpCF8q@A65EPTI4BYt}|&C7$cn!bMAu=bDQV zELSw7JrJfBf91_B`fNi=VlI`{vTh5hJRPhxehuzzhr;Nc@(3N$g5vAd_o@5`k~ zF??FsVplJGg5Elkb^vhnDfKT$2?wtIXm@N>aebc72`3B;I2PPn4P*AUfqjapsi{!! zlR+`E-dO5Tw3eN!RawOd+(LqTdpkZHu=f0MC%WfKcIs%JPc@@sB)AdiCQUZeX&}sg zb!r#_K2`JC_N4Q#6&xX-lwUVc*mplf-d#};5l4Uw0w_s#^G5QjK z#bLex0-=pnwu;q~CdbD=yyLe|nQv5+1#hwG?(UZJ{89jS(9>z*tJCJHcJYZSel8sm zj9XF2td#@nGrtLI1x$SbUld99Dzyasoi6>^Pd`~{dgs8>a12yMb~I{B35t`1i;#R}@o4lF{rKP0{(>=<<%eCBdpQFPSxZon4 zpwDv+Mw?03Li@d$X)q3xZceTEQ0G%IkrhOLo(-u^U^oIAg!pll10|bJ;aSUdT8(O9 z%dob@c%TAmw9bSrhk9$kXxP$Jkr<4221ZA#T<9pc^ma`-GU+>0-$-?;;H~e6Un5~6 zv8mxMjP_U-xs1HoF8j&U+%~q=P)%A}(ElPFqi&teWmtQ66(dE(@4#xg!qSn)re>DT zceQ5YM(6#a6g$2%cPM^cm2Zn|a;>FxsVNZp`{M7()|?V%eUAiIsAseYS}avn z)s~KqxW>jt$VhxDi(edzpyGgcc}ofg-DOO6%ASFmcfpn~=zJP<990V~diZbMG{|dZ zLh0aA36nRtg+73%#;VO$$-{`C>kOQZe!6B@|0;jg1-NNotpqN=Lr_&gxsPB1AFbt- zof`0wTWk4s3WNhpAN$;mxRqJ>`J8}r%innDzgck)9z0O)UHK7DU32aae!Ek7>iKmr z+~bW%u7peLkf#PlVA?c!sWhTm>PHR~pS-eu)gI7cN@4Y$5C#Vo+>A-XjcT)>vbEMH zdI_xt<=@|I_d|KhoVsGVWydeg8SKM)9;?%3O@HHK=34Y*M`kK#8#}Chs+;Tj;QjL* zeB%1!KR+3rVRR*HWpaM1s41(cNFKs+qMc$6tnPg1_!;4kV(~VlRrq!SBTc5$i|WPh z6haHW%d4z!6huF{@U>+W^-Rc(Y5mn9V`bEJFV-ZLMH$rkOaiSdY%EW%V*=Y zps+`2BeeA!ByKE^1~Z-T^Z(+TNE9C1uYKdc;^C1Ts5bK0L|2>hz|bRYA=+lRE4RKh zpf#CK4PRNBO%GpRafZ=sWM@D4=7LOUM+y3FK`|0WjgYjJW}5_js;<3{7EYIMQkQSd zHj+))VX-%`&)?ioZMt|0?vSJPqgoGj)@AC;%OEH*>DJzG-SjMZd&<=}Jo!Nep+iy1 zaSzTKY^341T^#rge>U(5HW4>UQ=j#cNDnRCyZg`=yhQ3_l;-cPnjx>Wf%fPi+?(SS z<2pcSQ0yFTKEvApC7s&56fLNx1l8LM?A!X5246P?7wB4Ge>RIQti%05>BaCf}9@GrIj(i(!upCwn_qWPMAaomHm=>T3gqZL0 z*GPW-ZBi6e0mn0<4Yjo+JO3d-gS7K2$^*=?^z@prRRnBg1-UIwLl&gP*DPd0HIg1! z?O#HF@A~Ez4^W=czT;0KM*&0BLn=%V4H~?`?Yr3J%5S(MZ|v33gL){VK#a_;4MH!s zw8+CJKK#ER4CSJ}!=Cq10`c{-RCQ>G2K;8q$6VO!OHIo^h9KN~;3hTuI?Ai}!7BK< zx5BIw$^)T(U;n9XQ3V|52YAJ$_tiC(Z}5!^bx-c>Bko)Jcsw7bh9AI76^YMC{qv%T z+i&(OE%9>`MiHvVAu3M~3{cGTfu6QcE!#f<@0+4sZ=Rch1qbzPi9Yr1Kb|k&9mo&) z^rKEVeW!Bo3A`_ubz~&oe&+N2+HdQSKAO;W?W%*N7uHcZ^4JzS;Pa$>ZGASP3Hg~Q zO1NG_+15uf$r+d`g|@dh=A~oZ=qimRiTUTjabzJ>OeRi2 ziFo)_C}{XmO6VL7Ps$IQ_CWRJ>sef2f})2Rsp{)6XS2p=+BQ{(THx4o)vy9Ty&H#_XCt)ZB zo7iHc{^RUME~Qm@-N7{_td=W7j$D}OTiq$F4EHlT*9FPtsQk=#)C`>VyAF=w*L$r_ z?72){QMWr~zv0qY)%NShgUZgplsN-Z@@{JNOv!k>r6jm*AzD)a|lWC%nA8GDXh&ZNvSw zJS?G=2qoe-I9vY*nk(Zi*NEQVqa)TtW`jE`TVP)Ru|lDU8?a%dzV6Ssld%4vNih|J zt26%BT|Xs!_DUqa2y8V_9+6LH>XYD}+7o7XXN}pZJq4$VT$>s{YYV3WWC>jx5^e%W zYooeX8prWLz}>^cdZq`hursU|(&|Zm`_OB_@NFDudDGJ@VS$GG}%?;D!cf@k9W7lwRii`-b)aabD^#;>S=3huP`R#kH2{J zrty#)r~UF9{yD%XVj1V6k^+y46On$d7?mE<%F^L)P)e%eQ@dU9>( zy+5-qrLuY)(hTY%OTN_E`?s5x({m^!QLyDp&fRh614A|08(ABg5uX?Ebx@)}RSQ18 zCsXmPC!PPgqkvcOd2xfJ$FK~adBY*Q1S&L(^Bn@-uPzy#<%;_p1B8EHK#w%9#)2`) z{m=1&x4Vv~Y_quFXV0evxI|@n@FxH2aueL}obTY(S}Wju=!{0%Y`-NqK1f^=_ylQK zEgqVXdVHv1B=?ZnUN7c$KXBIuYomk{PavDrj{-cc?|~WSAT<|ou=_AZD=d?; zjp#BMdr*V^{VlJNtLxZrK7M7p#A!5%boJTkNa677<%6}qg?-~o|Da4|Hi*)|Zb0U} z`mH)dKrXUn5r9|FBp~?fPofjya<2^3F;Vzhshjg1Wi=%dPdW6i02)abccXA ztWWKKC~6JEy#dg@io&-@G4gI3a-{ipSkAxT3x;&y3?4R)%0WY#h8iGgdv8GAqU~e! z2-aA{0Yh}VB8{U~u5$3t?Y__?iQ_w<{)R%DYkbSARrP^d1YOh7U&!456J0JRq!4K9}R%62vfqiW32AkO$UbRAdIRQ z44BL@Q0j7e6b(ZqCG#Idq6vP-u%x@t5MYXBOZ_2ZP=?MtfT^+|9|34NN_&0lLnrj? zKcZp>xOAWXR$$HDC#R;Sqy(Y6pHcRwx7|OiB8QiA{`mO*FDIW~{SB^o{Ru=N{QUpq z`|yzBhW+=;{1l-fly!!lQwKV|bJ0Sn@i0XCBsv+OJ0POU;*yd~dulkaKgl7dfT-&; z00?e;1`!vi!xaqz7&YHF8@}Yf;nKTQh9C9@^mttXS_Kkf67=~mvok>6Xh5J{k@1>0 z`~+lMT~bQ;%0zxL=h_#zw3og%EP*FM#!*AnC0JbqJ_aV_Fk_Rj)y0M}&82ct8uT$F z;q`It`ToGqfAEj|3Dfx`G;8(=@~XKg`iuO$BKRR}1wx??fu<FUk*M zzvdQB0c^4gS?>5_;J4AOOE?BpU{HIGw=-u|GxB^Ipa2Pu2xGVg)VDn=heG99!yJXH zl_6u*UVzie*B5(=;1YWLc4+RRk!oV>2gOr`{w%|8z7z%!&H^d+vrkb31)6slN`H7m z4~od6aK}eu;|v`U@_>{Ztl~evnUu;O-Ch>^Wp9N$^^8q2Tc+ zI}V>Zp#>!2SoJJ?8$nRtlOz9Ed)FS*)E$LyVaO7*k;OS-6B?BSGX|(^2y_K}pcb%` zH5)huc?naxGRm{O+H3=SEhR-XfT_(KkYx_gvCVazW@WQoaw3HP5Sz`eQm_V+vIeBb%b2M~2W-G2@!0BHlqQeR#(;zxvAe?d?*@PvBG z2-w!fv$bXvY1C8g>LAb#%u~NZwKwsKudEyKt-3j5uDjW!mb!;h%Cr}7Z z2F1XM+u)*TPpl~_s6h9Z@D_>X#j(J>C;z_Jo(itgvpxmdT|6Bt5XS-t(LPo{INPO- z7Av9%BhJEs%s4++hA>M^0aXdKcUUHU8TR6VC&@=MBJ>>ok|O8s+se?sW@UQ;WQc)h zwk64OPzXn(pc6nnS{enmBE*Q9UQ^4GA9kziz%ckj1;?C4y1hqTE<0g91rXhlpfE8B z_E0Bk3yH7>lNF(B!oGqP79tV&35Tdld8=4vvD447c4WQ++9mCTdJ1NDvw