-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpoetry.lock
491 lines (450 loc) · 35.4 KB
/
poetry.lock
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "exceptiongroup"
version = "1.1.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.1.2-py3-none-any.whl", hash = "sha256:e346e69d186172ca7cf029c8c1d16235aa0e04035e5750b4b95039e65204328f"},
{file = "exceptiongroup-1.1.2.tar.gz", hash = "sha256:12c3e887d6485d16943a309616de20ae5582633e0a2eda17f4e10fd61c1e8af5"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "joblib"
version = "1.3.1"
description = "Lightweight pipelining with Python functions"
optional = false
python-versions = ">=3.7"
files = [
{file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"},
{file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"},
]
[[package]]
name = "numpy"
version = "1.25.0"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "numpy-1.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8aa130c3042052d656751df5e81f6d61edff3e289b5994edcf77f54118a8d9f4"},
{file = "numpy-1.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e3f2b96e3b63c978bc29daaa3700c028fe3f049ea3031b58aa33fe2a5809d24"},
{file = "numpy-1.25.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6b267f349a99d3908b56645eebf340cb58f01bd1e773b4eea1a905b3f0e4208"},
{file = "numpy-1.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4aedd08f15d3045a4e9c648f1e04daca2ab1044256959f1f95aafeeb3d794c16"},
{file = "numpy-1.25.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6d183b5c58513f74225c376643234c369468e02947b47942eacbb23c1671f25d"},
{file = "numpy-1.25.0-cp310-cp310-win32.whl", hash = "sha256:d76a84998c51b8b68b40448ddd02bd1081bb33abcdc28beee6cd284fe11036c6"},
{file = "numpy-1.25.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0dc071017bc00abb7d7201bac06fa80333c6314477b3d10b52b58fa6a6e38f6"},
{file = "numpy-1.25.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c69fe5f05eea336b7a740e114dec995e2f927003c30702d896892403df6dbf0"},
{file = "numpy-1.25.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9c7211d7920b97aeca7b3773a6783492b5b93baba39e7c36054f6e749fc7490c"},
{file = "numpy-1.25.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecc68f11404930e9c7ecfc937aa423e1e50158317bf67ca91736a9864eae0232"},
{file = "numpy-1.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e559c6afbca484072a98a51b6fa466aae785cfe89b69e8b856c3191bc8872a82"},
{file = "numpy-1.25.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6c284907e37f5e04d2412950960894b143a648dea3f79290757eb878b91acbd1"},
{file = "numpy-1.25.0-cp311-cp311-win32.whl", hash = "sha256:95367ccd88c07af21b379be1725b5322362bb83679d36691f124a16357390153"},
{file = "numpy-1.25.0-cp311-cp311-win_amd64.whl", hash = "sha256:b76aa836a952059d70a2788a2d98cb2a533ccd46222558b6970348939e55fc24"},
{file = "numpy-1.25.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b792164e539d99d93e4e5e09ae10f8cbe5466de7d759fc155e075237e0c274e4"},
{file = "numpy-1.25.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7cd981ccc0afe49b9883f14761bb57c964df71124dcd155b0cba2b591f0d64b9"},
{file = "numpy-1.25.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5aa48bebfb41f93043a796128854b84407d4df730d3fb6e5dc36402f5cd594c0"},
{file = "numpy-1.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5177310ac2e63d6603f659fadc1e7bab33dd5a8db4e0596df34214eeab0fee3b"},
{file = "numpy-1.25.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0ac6edfb35d2a99aaf102b509c8e9319c499ebd4978df4971b94419a116d0790"},
{file = "numpy-1.25.0-cp39-cp39-win32.whl", hash = "sha256:7412125b4f18aeddca2ecd7219ea2d2708f697943e6f624be41aa5f8a9852cc4"},
{file = "numpy-1.25.0-cp39-cp39-win_amd64.whl", hash = "sha256:26815c6c8498dc49d81faa76d61078c4f9f0859ce7817919021b9eba72b425e3"},
{file = "numpy-1.25.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b1b90860bf7d8a8c313b372d4f27343a54f415b20fb69dd601b7efe1029c91e"},
{file = "numpy-1.25.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85cdae87d8c136fd4da4dad1e48064d700f63e923d5af6c8c782ac0df8044542"},
{file = "numpy-1.25.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cc3fda2b36482891db1060f00f881c77f9423eead4c3579629940a3e12095fe8"},
{file = "numpy-1.25.0.tar.gz", hash = "sha256:f1accae9a28dc3cda46a91de86acf69de0d1b5f4edd44a9b0c3ceb8036dfff19"},
]
[[package]]
name = "packaging"
version = "23.1"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.7"
files = [
{file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"},
{file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"},
]
[[package]]
name = "pandas"
version = "2.0.3"
description = "Powerful data structures for data analysis, time series, and statistics"
optional = false
python-versions = ">=3.8"
files = [
{file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
{file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
{file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"},
{file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"},
{file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"},
{file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"},
{file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"},
{file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"},
{file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"},
{file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"},
{file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"},
{file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"},
{file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"},
{file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"},
{file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"},
{file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"},
{file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"},
{file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"},
{file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"},
{file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"},
{file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"},
{file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"},
{file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"},
{file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"},
{file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"},
]
[package.dependencies]
numpy = [
{version = ">=1.20.3", markers = "python_version < \"3.10\""},
{version = ">=1.21.0", markers = "python_version >= \"3.10\""},
{version = ">=1.23.2", markers = "python_version >= \"3.11\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
tzdata = ">=2022.1"
[package.extras]
all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
aws = ["s3fs (>=2021.08.0)"]
clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
feather = ["pyarrow (>=7.0.0)"]
fss = ["fsspec (>=2021.07.0)"]
gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
hdf5 = ["tables (>=3.6.1)"]
html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
parquet = ["pyarrow (>=7.0.0)"]
performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
plot = ["matplotlib (>=3.6.1)"]
postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
spss = ["pyreadstat (>=1.1.2)"]
sql-other = ["SQLAlchemy (>=1.4.16)"]
test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
xml = ["lxml (>=4.6.3)"]
[[package]]
name = "patsy"
version = "0.5.6"
description = "A Python package for describing statistical models and for building design matrices."
optional = false
python-versions = "*"
files = [
{file = "patsy-0.5.6-py2.py3-none-any.whl", hash = "sha256:19056886fd8fa71863fa32f0eb090267f21fb74be00f19f5c70b2e9d76c883c6"},
{file = "patsy-0.5.6.tar.gz", hash = "sha256:95c6d47a7222535f84bff7f63d7303f2e297747a598db89cf5c67f0c0c7d2cdb"},
]
[package.dependencies]
numpy = ">=1.4"
six = "*"
[package.extras]
test = ["pytest", "pytest-cov", "scipy"]
[[package]]
name = "pluggy"
version = "1.2.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pluggy-1.2.0-py3-none-any.whl", hash = "sha256:c2fd55a7d7a3863cba1a013e4e2414658b1d07b6bc57b3919e0c63c9abb99849"},
{file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pytest"
version = "7.4.0"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"},
{file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pytz"
version = "2023.3"
description = "World timezone definitions, modern and historical"
optional = false
python-versions = "*"
files = [
{file = "pytz-2023.3-py2.py3-none-any.whl", hash = "sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb"},
{file = "pytz-2023.3.tar.gz", hash = "sha256:1d8ce29db189191fb55338ee6d0387d82ab59f3d00eac103412d64e0ebd0c588"},
]
[[package]]
name = "scikit-learn"
version = "1.3.0"
description = "A set of python modules for machine learning and data mining"
optional = false
python-versions = ">=3.8"
files = [
{file = "scikit-learn-1.3.0.tar.gz", hash = "sha256:8be549886f5eda46436b6e555b0e4873b4f10aa21c07df45c4bc1735afbccd7a"},
{file = "scikit_learn-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:981287869e576d42c682cf7ca96af0c6ac544ed9316328fd0d9292795c742cf5"},
{file = "scikit_learn-1.3.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:436aaaae2c916ad16631142488e4c82f4296af2404f480e031d866863425d2a2"},
{file = "scikit_learn-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7e28d8fa47a0b30ae1bd7a079519dd852764e31708a7804da6cb6f8b36e3630"},
{file = "scikit_learn-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae80c08834a473d08a204d966982a62e11c976228d306a2648c575e3ead12111"},
{file = "scikit_learn-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:552fd1b6ee22900cf1780d7386a554bb96949e9a359999177cf30211e6b20df6"},
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79970a6d759eb00a62266a31e2637d07d2d28446fca8079cf9afa7c07b0427f8"},
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:850a00b559e636b23901aabbe79b73dc604b4e4248ba9e2d6e72f95063765603"},
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee04835fb016e8062ee9fe9074aef9b82e430504e420bff51e3e5fffe72750ca"},
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d953531f5d9f00c90c34fa3b7d7cfb43ecff4c605dac9e4255a20b114a27369"},
{file = "scikit_learn-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:151ac2bf65ccf363664a689b8beafc9e6aae36263db114b4ca06fbbbf827444a"},
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6a885a9edc9c0a341cab27ec4f8a6c58b35f3d449c9d2503a6fd23e06bbd4f6a"},
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:9877af9c6d1b15486e18a94101b742e9d0d2f343d35a634e337411ddb57783f3"},
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c470f53cea065ff3d588050955c492793bb50c19a92923490d18fcb637f6383a"},
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd6e2d7389542eae01077a1ee0318c4fec20c66c957f45c7aac0c6eb0fe3c612"},
{file = "scikit_learn-1.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:3a11936adbc379a6061ea32fa03338d4ca7248d86dd507c81e13af428a5bc1db"},
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:998d38fcec96584deee1e79cd127469b3ad6fefd1ea6c2dfc54e8db367eb396b"},
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ded35e810438a527e17623ac6deae3b360134345b7c598175ab7741720d7ffa7"},
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e8102d5036e28d08ab47166b48c8d5e5810704daecf3a476a4282d562be9a28"},
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7617164951c422747e7c32be4afa15d75ad8044f42e7d70d3e2e0429a50e6718"},
{file = "scikit_learn-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:1d54fb9e6038284548072df22fd34777e434153f7ffac72c8596f2d6987110dd"},
]
[package.dependencies]
joblib = ">=1.1.1"
numpy = ">=1.17.3"
scipy = ">=1.5.0"
threadpoolctl = ">=2.0.0"
[package.extras]
benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
[[package]]
name = "scikit-learn-extra"
version = "0.3.0"
description = "A set of tools for scikit-learn."
optional = false
python-versions = ">=3.6"
files = [
{file = "scikit-learn-extra-0.3.0.tar.gz", hash = "sha256:7912d43384470d77609e53819d0291967f21010e5c3a3847f9026fc02f9c7893"},
{file = "scikit_learn_extra-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:44654b08cd142ddaa044ffc51d84f31ea3caa3f7b53e3d0024303a38150488cb"},
{file = "scikit_learn_extra-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec82da4c00423b08436d753f319ab9ec136688be2961274d23e73f9221fdbbf9"},
{file = "scikit_learn_extra-0.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:a0e4e79a120e6c8d29f504106160be29c3b06581ea4cb56f4b15ba4c73c7e9ec"},
{file = "scikit_learn_extra-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8a39e141e060a61c951d9a14c72039b40bb5cd7d32a794b0b20470789d751214"},
{file = "scikit_learn_extra-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91878f079da2d81b989c0bc3019befc7a3228fee29384065d06badc4ca60f4ec"},
{file = "scikit_learn_extra-0.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:2cfadf9b6dbae0803db32cf477aff8a4ba5c15244ffd30d6312df2ef7043e16a"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:837c6805f1948bab0172ff85470fbf568cfb56e8b6a371b892c01f80e5064b67"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:cf2cb09d1fa100a9c8ff8eb3561f69af3c73d94191652873521039030519a646"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8df4782c79cf8c0125523d48e87f00ff8e001004e4ed57743e983f02b10a63cf"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:9ee6812725b706ae53818845718050c439cc3e02031dc81ed72d6a2679c3f694"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:15681200d239bd414ea616506c7be7c97f33abb88ade944e7a225b42b73bbfa8"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-win32.whl", hash = "sha256:589f11733ce0197bd46189f6f9013696b8f43f85fc66935a90a918cb7965ca1b"},
{file = "scikit_learn_extra-0.3.0-cp36-cp36m-win_amd64.whl", hash = "sha256:265113d3280c17261f4598b2d4277a17e1398076cc5330c6d1fc1b6664c15ea8"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:911435d6fb5adbf1883f84f84e5d2cf1ab9e8131da5966097e4294175387e4d4"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:f892e0ab363735e0e2322a716a924bd7bdecf8397be109234fdf17a5024d933f"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:5fff5725d5688242b0e61aefdf79961045016ff0e482164c72b8740f64487325"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:53c07c616b6acb775c365a0df0ca360a0c29c5570e344ca66f3f0986dca3fbcd"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:6c34635914cb1d5274891011c364595141fb0b2ecc93c84b8d8cdf086341c225"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-win32.whl", hash = "sha256:2f694a2304c5dc31f981e443106ec68c7fe4ca7b7af8145218166078ef27c2ca"},
{file = "scikit_learn_extra-0.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:4627f65d50efe8a71165d8917467fda9ff40644c336da5c40a5c4b75633e88d4"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3c619d66951b7fd0b276d20af19ad4e5d3018219d1337c26a4f72643823798fe"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:05cf853c4577f87f2b286b1d1adc921e0de1d0cf313702b2f48ad5fea8d81ea2"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:1a64a752c59a12d7f477a7bdae636a188e7c32933d463d006bf0af7731506562"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:b8da5f9c9a184683df085b6bb55264870ed6a9f3f5e0790af1badfe34764da63"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:1110b67d62f8be9edbade232c40eab3a5458e8c1f19e6afb3f2a685dca4f3cf1"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-win32.whl", hash = "sha256:e7f9eef0316d7ad8cccafc639aa1b20b1fe7e79cfe802c338455c561f749d548"},
{file = "scikit_learn_extra-0.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:60780faa1b80eddf9e617804cb19d87e22718080da61aefd38d1c01cdc938634"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b2ee8cb4bcb5ba8e632e8d7e7400eca5eaa8ed05a7905ba2de61618c036afc37"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-manylinux1_i686.whl", hash = "sha256:ebfc1938c2deb1dd10c43394ac40bf4d6b2814428e2a984ec71c054e8dd5e592"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:8041adcad0cc1b7d6c5b8485fb0cfc849e9db84c588425eee8781186581f9dce"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:0986559451a027dabd4bb9781a9621c5bfde10bd477001c1f60718b2f41900b9"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:f79b071577d2895114e40b3df5f189555259852d2d796ba30f17535f9be6ac6f"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-win32.whl", hash = "sha256:c3061f62eab8b1b5ab62f74888121affeeca1abadf2d5b6a817aecad5b984471"},
{file = "scikit_learn_extra-0.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:afc6a0dce83487f95dd288368bf09fbd2d23483389840e2369302455404180d6"},
]
[package.dependencies]
numpy = ">=1.13.3"
scikit-learn = ">=0.23.0"
scipy = ">=0.19.1"
[package.extras]
docs = ["matplotlib", "numpydoc", "pillow", "sphinx", "sphinx-gallery", "sphinx-rtd-theme"]
tests = ["pytest", "pytest-cov"]
[[package]]
name = "scipy"
version = "1.9.3"
description = "Fundamental algorithms for scientific computing in Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"},
{file = "scipy-1.9.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:83b89e9586c62e787f5012e8475fbb12185bafb996a03257e9675cd73d3736dd"},
{file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a72d885fa44247f92743fc20732ae55564ff2a519e8302fb7e18717c5355a8b"},
{file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d01e1dd7b15bd2449c8bfc6b7cc67d630700ed655654f0dfcf121600bad205c9"},
{file = "scipy-1.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:68239b6aa6f9c593da8be1509a05cb7f9efe98b80f43a5861cd24c7557e98523"},
{file = "scipy-1.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b41bc822679ad1c9a5f023bc93f6d0543129ca0f37c1ce294dd9d386f0a21096"},
{file = "scipy-1.9.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:90453d2b93ea82a9f434e4e1cba043e779ff67b92f7a0e85d05d286a3625df3c"},
{file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c06e62a390a9167da60bedd4575a14c1f58ca9dfde59830fc42e5197283dab"},
{file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abaf921531b5aeaafced90157db505e10345e45038c39e5d9b6c7922d68085cb"},
{file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"},
{file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"},
{file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"},
{file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"},
{file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"},
{file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"},
{file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"},
{file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"},
{file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"},
{file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"},
{file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"},
{file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
]
[package.dependencies]
numpy = ">=1.18.5,<1.26.0"
[package.extras]
dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "statsmodels"
version = "0.14.2"
description = "Statistical computations and models for Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "statsmodels-0.14.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df5d6f95c46f0341da6c79ee7617e025bf2b371e190a8e60af1ae9cabbdb7a97"},
{file = "statsmodels-0.14.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a87ef21fadb445b650f327340dde703f13aec1540f3d497afb66324499dea97a"},
{file = "statsmodels-0.14.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5827a12e3ede2b98a784476d61d6bec43011fedb64aa815f2098e0573bece257"},
{file = "statsmodels-0.14.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10f2b7611a61adb7d596a6d239abdf1a4d5492b931b00d5ed23d32844d40e48e"},
{file = "statsmodels-0.14.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c254c66142f1167b4c7d031cf8db55294cc62ff3280e090fc45bd10a7f5fd029"},
{file = "statsmodels-0.14.2-cp310-cp310-win_amd64.whl", hash = "sha256:0e46e9d59293c1af4cc1f4e5248f17e7e7bc596bfce44d327c789ac27f09111b"},
{file = "statsmodels-0.14.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:50fcb633987779e795142f51ba49fb27648d46e8a1382b32ebe8e503aaabaa9e"},
{file = "statsmodels-0.14.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:876794068abfaeed41df71b7887000031ecf44fbfa6b50d53ccb12ebb4ab747a"},
{file = "statsmodels-0.14.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a91f6c4943de13e3ce2e20ee3b5d26d02bd42300616a421becd53756f5deb37"},
{file = "statsmodels-0.14.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4864a1c4615c5ea5f2e3b078a75bdedc90dd9da210a37e0738e064b419eccee2"},
{file = "statsmodels-0.14.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:afbd92410e0df06f3d8c4e7c0e2e71f63f4969531f280fb66059e2ecdb6e0415"},
{file = "statsmodels-0.14.2-cp311-cp311-win_amd64.whl", hash = "sha256:8e004cfad0e46ce73fe3f3812010c746f0d4cfd48e307b45c14e9e360f3d2510"},
{file = "statsmodels-0.14.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:eb0ba1ad3627705f5ae20af6b2982f500546d43892543b36c7bca3e2f87105e7"},
{file = "statsmodels-0.14.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:90fd2f0110b73fc3fa5a2f21c3ca99b0e22285cccf38e56b5b8fd8ce28791b0f"},
{file = "statsmodels-0.14.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac780ad9ff552773798829a0b9c46820b0faa10e6454891f5e49a845123758ab"},
{file = "statsmodels-0.14.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55d1742778400ae67acb04b50a2c7f5804182f8a874bd09ca397d69ed159a751"},
{file = "statsmodels-0.14.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f870d14a587ea58a3b596aa994c2ed889cc051f9e450e887d2c83656fc6a64bf"},
{file = "statsmodels-0.14.2-cp312-cp312-win_amd64.whl", hash = "sha256:f450fcbae214aae66bd9d2b9af48e0f8ba1cb0e8596c6ebb34e6e3f0fec6542c"},
{file = "statsmodels-0.14.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:201c3d00929c4a67cda1fe05b098c8dcf1b1eeefa88e80a8f963a844801ed59f"},
{file = "statsmodels-0.14.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9edefa4ce08e40bc1d67d2f79bc686ee5e238e801312b5a029ee7786448c389a"},
{file = "statsmodels-0.14.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29c78a7601fdae1aa32104c5ebff2e0b72c26f33e870e2f94ab1bcfd927ece9b"},
{file = "statsmodels-0.14.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f36494df7c03d63168fccee5038a62f469469ed6a4dd6eaeb9338abedcd0d5f5"},
{file = "statsmodels-0.14.2-cp39-cp39-win_amd64.whl", hash = "sha256:8875823bdd41806dc853333cc4e1b7ef9481bad2380a999e66ea42382cf2178d"},
{file = "statsmodels-0.14.2.tar.gz", hash = "sha256:890550147ad3a81cda24f0ba1a5c4021adc1601080bd00e191ae7cd6feecd6ad"},
]
[package.dependencies]
numpy = ">=1.22.3"
packaging = ">=21.3"
pandas = ">=1.4,<2.1.0 || >2.1.0"
patsy = ">=0.5.6"
scipy = ">=1.8,<1.9.2 || >1.9.2"
[package.extras]
build = ["cython (>=0.29.33)"]
develop = ["colorama", "cython (>=0.29.33)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty", "setuptools-scm[toml] (>=8.0,<9.0)"]
docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
[[package]]
name = "threadpoolctl"
version = "3.1.0"
description = "threadpoolctl"
optional = false
python-versions = ">=3.6"
files = [
{file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
{file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
]
[[package]]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.7"
files = [
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
]
[[package]]
name = "tzdata"
version = "2023.3"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
]
[[package]]
name = "xarray"
version = "2024.3.0"
description = "N-D labeled arrays and datasets in Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "xarray-2024.3.0-py3-none-any.whl", hash = "sha256:ca2bc4da2bf2e7879e15862a7a7c3fc76ad19f6a08931d030220cef39a29118d"},
{file = "xarray-2024.3.0.tar.gz", hash = "sha256:5c1db19efdde61db7faedad8fc944f4e29698fb6fbd578d352668b63598bd1d8"},
]
[package.dependencies]
numpy = ">=1.23"
packaging = ">=22"
pandas = ">=1.5"
[package.extras]
accel = ["bottleneck", "flox", "numbagg", "opt-einsum", "scipy"]
complete = ["xarray[accel,dev,io,parallel,viz]"]
dev = ["hypothesis", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-timeout", "pytest-xdist", "ruff", "xarray[complete]"]
io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "scipy", "zarr"]
parallel = ["dask[complete]"]
viz = ["matplotlib", "nc-time-axis", "seaborn"]
[metadata]
lock-version = "2.0"
python-versions = "^3.9 || ^3.10"
content-hash = "ba4a72d0f216970bf686bca6f3a22f3847e64510fd30d14792427afc2e50ffcd"