diff --git a/.cz.toml b/.cz.toml index aa6714ca..1e161e97 100644 --- a/.cz.toml +++ b/.cz.toml @@ -1,8 +1,8 @@ [tool.commitizen] name = "cz_conventional_commits" -version = "2.2.0" +version = "2.3.0" version_files = [ - "setup.py", + "pyproject.toml", "docs/source/conf.py", "hypernetx/__init__.py" ] diff --git a/.github/workflows/cff.yml b/.github/workflows/cff.yml new file mode 100644 index 00000000..b493cf0b --- /dev/null +++ b/.github/workflows/cff.yml @@ -0,0 +1,20 @@ +on: + push: + paths: + - CITATION.cff + workflow_dispatch: + +name: CITATION.cff +jobs: + Validate-CITATION-cff: + runs-on: ubuntu-latest + name: Validate CITATION.cff + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + + steps: + - name: Checkout + uses: actions/checkout@v3 + + - name: Validate CITATION.cff + uses: dieghernan/cff-validator@v3 diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index b8826ea6..ce188394 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -1,5 +1,4 @@ -name: Continuous Integration - +name: Run tests, linters, formatters on: push: @@ -21,18 +20,14 @@ env: LC_ALL: en_US.utf-8 jobs: - run-tests: - strategy: matrix: - os: [ubuntu-22.04, macos-12, windows-2022] - python: ['3.8', '3.9', '3.10', '3.11'] - + os: [ubuntu-latest, macos-latest] + python: ['3.10', '3.11', '3.12'] runs-on: ${{ matrix.os }} steps: - - run: | echo "This workflow was triggered by: $TRIGGER_PERSON" env: @@ -41,28 +36,35 @@ jobs: - run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by GitHub!" - run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." - - name: Checkout - uses: actions/checkout@v3 + #---------------------------------------------- + # check-out repo and set-up python + #---------------------------------------------- + - name: Check out repository + uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python }} - uses: actions/setup-python@v4 + id: setup-python + uses: actions/setup-python@v5 with: python-version: ${{ matrix.python }} - - name: Install Pylint - run: pip install pylint - - # https://github.com/pre-commit/action - - name: Run pre-commit hooks - uses: pre-commit/action@v3.0.0 - - - name: Run tests - run: | - make test-ci-github - - name: Install documentation dependencies - run: | - pip install sphinx sphinx_rtd_theme - pip install .'[documentation]' - - name: Check documentation build + #---------------------------------------------- + # ----- install & configure poetry ----- + #---------------------------------------------- + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + #---------------------------------------------- + # install other testing dependencies + #---------------------------------------------- + - name: Install tox, pytest-github, tox-gh-actions + run: pip install 'tox>=4.4.11' 'pytest-github-actions-annotate-failures>=0.1.7' 'tox-gh-actions' + #---------------------------------------------- + # Run tests, linters defined in Tox + #---------------------------------------------- + - name: Run tests, linters run: | - sphinx-build docs/source _build + tox diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml index 46baff65..aeee0efb 100644 --- a/.github/workflows/documentation.yml +++ b/.github/workflows/documentation.yml @@ -1,19 +1,60 @@ name: Docs + on: [push, workflow_dispatch] + permissions: contents: write + jobs: - docs: + test: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 - - uses: actions/setup-python@v3 + #---------------------------------------------- + # check-out repo and set-up python + #---------------------------------------------- + - name: Check out repository + uses: actions/checkout@v4 + - name: Set up python + id: setup-python + uses: actions/setup-python@v5 + with: + python-version: '3.11.8' + #---------------------------------------------- + # ----- install & configure poetry ----- + #---------------------------------------------- + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + + #---------------------------------------------- + # load cached venv if cache exists + #---------------------------------------------- + - name: Load cached venv + id: cached-poetry-dependencies + uses: actions/cache@v4 + with: + path: .venv + key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }} + #---------------------------------------------- + # install dependencies if cache does not exist + #---------------------------------------------- - name: Install dependencies - run: | - pip install .'[documentation]' + if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' + run: poetry install --no-interaction --no-root + #---------------------------------------------- + # install your root project, if required + #---------------------------------------------- + - name: Install project + run: poetry install --all-extras --no-interaction --with docs + #---------------------------------------------- + # publish documentation + #---------------------------------------------- - name: Sphinx build run: | - sphinx-build docs/source _build + poetry run sphinx-build docs/source _build - name: Deploy if: github.head_ref == 'master' uses: peaceiris/actions-gh-pages@v3 diff --git a/.github/workflows/publish-to-pypi.yml b/.github/workflows/publish-to-pypi.yml index e765ddc0..6c5990cd 100644 --- a/.github/workflows/publish-to-pypi.yml +++ b/.github/workflows/publish-to-pypi.yml @@ -17,7 +17,6 @@ permissions: jobs: deploy: - runs-on: ubuntu-latest steps: @@ -25,39 +24,18 @@ jobs: - run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by GitHub!" - run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." - run: echo "Building wheel from tag ${{ github.ref_name }}" + - uses: actions/checkout@v4 - - uses: actions/checkout@v3 - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: "3.11" - - - name: Install pypa/build - run: >- - python3 -m - pip install - build - --user - - - name: Build a binary wheel and a source tarball - run: >- - python3 -m - build - --sdist - --wheel - --outdir dist/ - . - - - name: Publish distribution 📦 to Test PyPI - uses: pypa/gh-action-pypi-publish@release/v1 + - name: Build and publish distribution 📦 to Test PyPI + uses: JRubics/poetry-publish@v2.0 with: - password: ${{ secrets.TEST_PYPI_API_TOKEN }} - repository-url: https://test.pypi.org/legacy/ + python_version: "3.11.8" + pypi_token: ${{ secrets.TEST_PYPI_API_TOKEN }} + repository_name: "testpypi" + repository_url: "https://test.pypi.org/legacy/" - - name: Publish distribution 📦 to PyPI - if: startsWith(github.ref, 'refs/tags') - uses: pypa/gh-action-pypi-publish@release/v1 + - name: Build and publish distribution 📦 to PyPI + uses: JRubics/poetry-publish@v2.0 with: - password: ${{ secrets.PYPI_API_TOKEN }} - verbose: true - print-hash: true + python_version: "3.11.18" + pypi_token: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.gitignore b/.gitignore index 75d1a1a4..891e468e 100644 --- a/.gitignore +++ b/.gitignore @@ -39,3 +39,5 @@ docs/build coverage.xml cov.syspath.txt *.whl +*dogsAndcats* +pytest_notebooks.xml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 4a0c63da..20b99374 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -13,3 +13,7 @@ repos: - id: trailing-whitespace exclude: ^(docs/|hypernetx.egg-info/|setup.cfg) - id: check-merge-conflict +- repo: https://github.com/psf/black + rev: 24.3.0 + hooks: + - id: black diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 00000000..eff4b43d --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,328 @@ +# Changelog + +## 2.3.0 - 2023-05-16 + +### Changed + +- Update Glossary with new terms and figure +- Update Hypergraph docstrings +- Refactor and add more tests +- Update Visualization Tutorial +- Change required Python version to ^3.10,<=3.12 +- Upgrade core dependencies +- Update Tutorial 10, Hypergraph Modularity + +### Added + +- Add functionality to add and remove nodes, edges, and incidences on Hypergraph +- Add Hypergraph arithmetic operations such as sum, difference, union, intersection +- Add Hypergraph Arithmetic Operations tutorial +- Add internal classes, IncidenceStore and PropertyStore, to support HypergraphView +- Add new factory methods to support the creation of Hypergraph objects +- Add support for Poetry to manage packaging, build, publishing, and environments + +### Removed + +- Remove EntitySet and replaced with HypergraphView +- Remove setup.cfg and replaced with pyproject.toml + +### Fixed + +- Update usage of deprecated NetworkX methods + +#### Changelog from 2.2.0 to 2.3.0 + +The following logs were generated using `git log v2.2.0..HEAD --pretty=format:"- %s (%h, %an, %ad)"` + +- updated glossary to remove duplicate terms and docstring to fix spelling (34f047a, Brenda Praggastis, Wed May 15 17:15:52 2024 -0700) +- updated doc strings for s-connected components (d125c45, Brenda Praggastis, Wed May 15 17:07:33 2024 -0700) +- updated the glossary, so it should be good now (771240e, Brenda Praggastis, Wed May 15 17:03:08 2024 -0700) +- Pull request #179: Adding demo with attributes (7e253a0, Bonicillo, Mark A, Wed May 15 22:16:04 2024 +0000) +- Pull request #178: Defaults2 (50d890d, Bonicillo, Mark A, Wed May 15 22:10:33 2024 +0000) +- Merge branch 'develop' into defaults_backup (1e1c2a1, Brenda Praggastis, Wed May 15 15:04:05 2024 -0700) +- Merge branch 'defaults_backup' into defaults_backup (001bc1e, Brenda Praggastis, Wed May 15 15:03:59 2024 -0700) +- hypview added user defined props (19707ac, Brenda Praggastis, Wed May 15 13:56:51 2024 -0700) +- adding two new tutorials under basic (773fa84, audun myers, Wed May 15 16:50:08 2024 -0400) +- Pull request #177: Defaults backup (9516ca8, Bonicillo, Mark A, Wed May 15 20:46:04 2024 +0000) +- Update tests (eedba46, Mark Bonicillo, Wed May 15 12:35:47 2024 -0700) +- test (a2b8e3c, Brenda Praggastis, Wed May 15 13:18:53 2024 -0700) +- created set_defaults (6f17867, Brenda Praggastis, Wed May 15 13:12:56 2024 -0700) +- Merge branch 'defaults' of into defaults (145581e, Brenda Praggastis, Wed May 15 12:36:47 2024 -0700) +- removed default_properties_df (0b2ccea, Brenda Praggastis, Wed May 15 12:36:32 2024 -0700) +- Update tests (70e52f9, Mark Bonicillo, Wed May 15 12:35:47 2024 -0700) +- Update Tutorial 2 - Visualization Methods.ipynb (a71c259, audun myers, Wed May 15 15:26:00 2024 -0400) +- created self.defaults (793b715, Brenda Praggastis, Wed May 15 11:28:38 2024 -0700) +- Pull request #176: Glossary (357d339, Bonicillo, Mark A, Wed May 15 18:24:33 2024 +0000) +- Merge branch 'develop' into glossary (65cd70b, Mark Bonicillo, Wed May 15 11:21:26 2024 -0700) +- Pull request #175: Fix tutorial imports (a98e917, Bonicillo, Mark A, Wed May 15 18:04:42 2024 +0000) +- adding figure to glossary describing HNX structure (c5588ba, audun myers, Wed May 15 14:02:17 2024 -0400) +- Fix tutorial imports (b248be0, Mark Bonicillo, Wed May 15 10:47:34 2024 -0700) +- new glossary again (d2eb5b1, Brenda Praggastis, Wed May 15 10:52:55 2024 -0700) +- new glossary (66ff679, Brenda Praggastis, Wed May 15 10:42:18 2024 -0700) +- new glossary (e5d8972, Brenda Praggastis, Wed May 15 10:34:07 2024 -0700) +- glossary and classes init updated (9d94a8b, Brenda Praggastis, Wed May 15 09:59:46 2024 -0700) +- Pull request #172: Add, update docstrings in hypergraph (27ed0fb, Bonicillo, Mark A, Wed May 15 16:49:55 2024 +0000) +- Merge remote-tracking branch 'develop' into update-hypergraph-docstrings (501247a, Mark Bonicillo, Mon May 13 15:44:03 2024 -0700) +- Pull request #174: Add tests for union, intersection; update other tests (75153a2, Bonicillo, Mark A, Mon May 13 22:35:06 2024 +0000) +- Add tests for union, intersection; update other tests (1bfe844, Mark Bonicillo, Mon May 13 15:20:48 2024 -0700) +- Merge remote-tracking branch 'develop' into update-hypergraph-docstrings (5622b8e, Mark Bonicillo, Thu May 9 08:54:06 2024 -0700) +- Pull request #173: Ndarray (55e7321, Bonicillo, Mark A, Thu May 9 06:59:23 2024 +0000) +- Fix import error in ndarray factory method (54b6704, Mark Bonicillo, Wed May 8 16:59:28 2024 -0700) +- Add ndarray test on constructor; fix docstrings (c515db1, Mark Bonicillo, Wed May 8 16:55:28 2024 -0700) +- Fix malformed table (1594fc0, Mark Bonicillo, Wed May 8 16:11:49 2024 -0700) +- Update LICENSE.rst to 2024 (4277fef, Mark Bonicillo, Wed May 8 15:50:34 2024 -0700) +- Fix math syntax (1cdbc44, Mark Bonicillo, Wed May 8 15:40:21 2024 -0700) +- Refactor matrix methods; update tests and docstrings (0104565, Mark Bonicillo, Wed May 8 14:29:11 2024 -0700) +- Remove typing from Hypergraph constructor (4279ae4, Mark Bonicillo, Wed May 8 10:38:23 2024 -0700) +- Update remove methods and its docstrings; updates tests (4185dda, Mark Bonicillo, Tue May 7 17:08:42 2024 -0700) +- updated docstrings (01998e9, Brenda Praggastis, Mon May 6 17:02:09 2024 -0700) +- add ndarray factory method (d65f52d, Brenda Praggastis, Mon May 6 16:27:17 2024 -0700) +- Add, update docstrings in hypergraph (cf3a299, Mark Bonicillo, Mon May 6 11:55:29 2024 -0700) +- Pull request #171: Update documentation (4e1a27e, Bonicillo, Mark A, Thu May 2 21:27:04 2024 +0000) +- Update Python version references in docs; update docs Makefile (a58f0f5, Mark Bonicillo, Thu May 2 14:05:59 2024 -0700) +- Update long description (29a42e0, Mark Bonicillo, Thu May 2 13:07:22 2024 -0700) +- Fix Sphinx errors, warnings on docstrings (f33a152, Mark Bonicillo, Wed May 1 14:09:28 2024 -0700) +- Remove references to non-existing modules; fix docstrings (e8a0ea0, Mark Bonicillo, Tue Apr 30 15:06:54 2024 -0700) +- Remove helpers.py; remove unused imports (f26b58d, Mark Bonicillo, Mon Apr 29 16:24:59 2024 -0700) +- Remove EntitySet references; remove old AttrList (3646fb0, Mark Bonicillo, Mon Apr 29 16:03:19 2024 -0700) +- Pull request #170: Upgrade Python to 3.10; upgrade core dependencies (c819ca2, Bonicillo, Mark A, Thu May 2 18:55:24 2024 +0000) +- Upgrade Python to 3.10; upgrade core dependencies (bab41d5, Mark Bonicillo, Thu May 2 10:42:50 2024 -0700) +- Pull request #169: Additems (be63722, Bonicillo, Mark A, Wed May 1 21:20:15 2024 +0000) +- Minor cleanup (9222850, Mark Bonicillo, Wed May 1 14:16:35 2024 -0700) +- added import for deepcopy (aa9fab3, Brenda Praggastis, Wed May 1 13:58:23 2024 -0700) +- updated copy in PropertyStore to deep copy misc_properties (5687346, Brenda Praggastis, Wed May 1 13:36:19 2024 -0700) +- updated construct from stores to return inplace or deep copy (116f41b, Brenda Praggastis, Wed May 1 13:35:03 2024 -0700) +- restricting todataframe to only return on objects actually in the hypergraph (1f1921f, Brenda Praggastis, Wed May 1 13:32:47 2024 -0700) +- Pull request #167: added items property to hyp_view and intersection and union to hypergraph (c519d05, Praggastis, Brenda, Tue Apr 30 20:05:49 2024 +0000) +- Fix and refactor sum method; add tests (b178da6, Mark Bonicillo, Tue Apr 30 11:18:47 2024 -0700) +- Merge branch 'develop', remote-tracking branch 'stash' into bpedits3 (787314d, Mark Bonicillo, Tue Apr 30 11:37:48 2024 -0700) +- added items property to hyp_view and intersection and union to hypergraph (5bab9d7, Brenda Praggastis, Mon Apr 29 15:57:44 2024 -0700) +- Pull request #165: Fix bugs, refactor methods in Hypergraph; add and update tests for Hypergraph (abd35cd, Bonicillo, Mark A, Mon Apr 29 20:47:19 2024 +0000) +- Fix bug in get_cell_properties; update tests (65949c6, Mark Bonicillo, Wed Apr 24 13:58:13 2024 -0700) +- Cleanup tests (d126e8b, Mark Bonicillo, Wed Apr 24 12:01:09 2024 -0700) +- Pull request #166: Bpedits2 (6fd94ec, Praggastis, Brenda, Mon Apr 29 17:17:15 2024 +0000) +- Run linter (b5dd816, Mark Bonicillo, Mon Apr 29 10:12:12 2024 -0700) +- updates collapse to put user defined keys for equivalence classes first and allow for aggregations. (072770c, Brenda Praggastis, Fri Apr 26 18:42:56 2024 -0700) +- replaced deep copy on to_dataframe since it wasn't copying misc properties (f825248, Brenda Praggastis, Fri Apr 26 18:41:55 2024 -0700) +- fixes collapse so that chosen key will always be listed first (85cc730, Brenda Praggastis, Fri Apr 26 18:40:21 2024 -0700) +- changed to_dataframe to only return a complete clone of dataframe - fixes misc properties not deep copying (783edd3, Brenda Praggastis, Fri Apr 26 18:39:19 2024 -0700) +- Merge branch 'develop' into bpedits (293ee43, Brenda Praggastis, Fri Apr 26 14:19:57 2024 -0700) +- note TODO and update on inplace (0cadce0, Brenda Praggastis, Fri Apr 26 14:12:44 2024 -0700) +- Pull request #164: Fixing factory bug (db3576f, Myers, Audun D, Wed Apr 24 19:12:04 2024 +0000) +- Revert "Adding init files to tests folder" (38bc621, Mark Bonicillo, Wed Apr 24 12:04:55 2024 -0700) +- Linter (d76cd2a, Mark Bonicillo, Wed Apr 24 12:03:27 2024 -0700) +- fixing edges and nodes methods in incicdence store (475f066, audun myers, Wed Apr 24 14:19:57 2024 -0400) +- Adding init files to tests folder (068b248, audun myers, Wed Apr 24 11:31:00 2024 -0400) +- Update factory.py (9348e3d, audun myers, Wed Apr 24 10:48:38 2024 -0400) +- Pull request #163: Add __eq__ method to Hypergraph; add tests for clone (62e9e2a, Bonicillo, Mark A, Tue Apr 23 22:29:59 2024 +0000) +- Add __eq__ method; add tests for clone (a6da1e3, Mark Bonicillo, Thu Apr 18 11:34:38 2024 -0700) +- Pull request #162: Fix bug in components method; update tests (881c7ba, Bonicillo, Mark A, Tue Apr 23 21:51:29 2024 +0000) +- Fix bug in components method; update tests (6c302f2, Mark Bonicillo, Tue Apr 23 14:43:57 2024 -0700) +- Recovered changes to hypergraph.py (5909d07, Brenda Praggastis, Thu Apr 18 12:50:26 2024 -0700) +- Pull request #161: Docs (a0813bc, Praggastis, Brenda, Thu Apr 18 18:41:11 2024 +0000) +- Run linter (0852180, Mark Bonicillo, Thu Apr 18 11:37:15 2024 -0700) +- refactored tests to be consistent with new core code (274d7ad, Brenda Praggastis, Wed Apr 17 18:55:56 2024 -0700) +- updated modules to be consistent with new core code (14b8498, Brenda Praggastis, Wed Apr 17 18:55:38 2024 -0700) +- updates to hypergraph and incidence store include doc string improvements and refactored collapse methods (3a53d74, Brenda Praggastis, Wed Apr 17 18:55:18 2024 -0700) +- Merge branch 'develop' into docs (b9d801c, Brenda Praggastis, Wed Apr 17 11:26:23 2024 -0700) +- updated hypergraph doc strings (fb1a3b9, Brenda Praggastis, Wed Apr 17 11:25:36 2024 -0700) +- Pull request #160: removed inplace and changed remove to _remove for internal use (8adb1a7, Praggastis, Brenda, Wed Apr 17 18:20:28 2024 +0000) +- Run linter (4270e44, Mark Bonicillo, Wed Apr 17 11:15:42 2024 -0700) +- added ability to add a nested dictionary for nodes to edges (8a3244b, Brenda Praggastis, Tue Apr 16 21:11:09 2024 -0700) +- added clone method to create a copy on which to make changes. (c18687d, Brenda Praggastis, Tue Apr 16 21:06:23 2024 -0700) +- Pull request #159: Update tests add_* functionality (5227d27, Bonicillo, Mark A, Wed Apr 17 18:00:18 2024 +0000) +- Fix bugs; refactor code; update tests (4a273c8, Mark Bonicillo, Wed Apr 17 10:37:05 2024 -0700) +- Fix bug in PropertyStore; update add_edge tests (63e671d, Mark Bonicillo, Tue Apr 16 16:57:20 2024 -0700) +- removed inplace and changed remove to _remove for internal use (c1a52cf, Brenda Praggastis, Tue Apr 16 13:47:42 2024 -0700) +- Add tests for add_node and add_incidences (366f136, Mark Bonicillo, Tue Apr 16 14:11:55 2024 -0700) +- Pull request #158: Update tests (f4c98ca, Bonicillo, Mark A, Tue Apr 16 00:08:16 2024 +0000) +- Add test-core target (6fff636, Mark Bonicillo, Mon Apr 15 17:04:08 2024 -0700) +- Update tests (1d6eba4, Mark Bonicillo, Mon Apr 15 11:02:12 2024 -0700) +- Remove old notebooks (d3c6142, Mark Bonicillo, Thu Apr 11 11:19:52 2024 -0700) +- Move tests to root-level (62f451d, Mark Bonicillo, Tue Apr 9 14:36:44 2024 -0700) +- Pull request #157: Fix bugs in _add_item; add tests for add_edge (3a89c2c, Bonicillo, Mark A, Mon Apr 15 23:52:07 2024 +0000) +- Fix bugs in _add_item; add tests for add_edge (857130a, Mark Bonicillo, Mon Apr 15 14:53:08 2024 -0700) +- Pull request #156: Fix bug in Hypergraph.dual; update tests (d42a698, Bonicillo, Mark A, Fri Apr 12 15:27:05 2024 +0000) +- Fix bug in Hypergraph.dual; update tests (111721c, Mark Bonicillo, Thu Apr 11 11:09:47 2024 -0700) +- Pull request #155: updating index column naming for factory (7249e43, Myers, Audun D, Thu Apr 11 18:37:23 2024 +0000) +- Fix formatting (3070166, Mark Bonicillo, Thu Apr 11 11:36:21 2024 -0700) +- Fixed PR comments from mark (e9dc62d, audun myers, Thu Apr 11 14:24:19 2024 -0400) +- updating index column naming for factory (20042b0, audun myers, Thu Apr 11 12:26:17 2024 -0400) +- Pull request #154: difference_function fix (e6220d2, Praggastis, Brenda, Wed Apr 10 04:02:26 2024 +0000) +- Add tests for difference method (307e062, Mark Bonicillo, Tue Apr 9 17:05:11 2024 -0700) +- fixed difference of hypergraphs as it removed properties and shouldn't have (552ced6, Brenda Praggastis, Tue Apr 9 16:08:20 2024 -0700) +- merged origin/develop into develop (890ca80, Brenda Praggastis, Tue Apr 9 15:10:16 2024 -0700) +- Pull request #153: Infra update (370e671, Bonicillo, Mark A, Tue Apr 9 21:04:01 2024 +0000) +- Move pytest config into pyproject (5012941, Mark Bonicillo, Tue Apr 9 13:39:12 2024 -0700) +- Fix make targets (e51f4ca, Mark Bonicillo, Fri Apr 5 17:24:43 2024 -0700) +- Add poetry (9591806, Mark Bonicillo, Mon Mar 25 11:19:36 2024 -0700) +- Pull request #152: Updating factory to fix some nbugs and improve documentation (9d3d22a, Myers, Audun D, Tue Apr 9 20:50:31 2024 +0000) +- Run linter (bcfe9d0, Mark Bonicillo, Tue Apr 9 13:44:41 2024 -0700) +- Delete testing_factory.ipynb (15ebb13, audun myers, Tue Apr 9 16:14:46 2024 -0400) +- Create testing_factory.ipynb (a1bd873, audun myers, Tue Apr 9 16:10:13 2024 -0400) +- updating factory to fix bugs (f2fb670, audun myers, Tue Apr 9 16:00:43 2024 -0400) +- Pull request #151: Hg functionality (4a848f7, Bonicillo, Mark A, Tue Apr 9 19:44:30 2024 +0000) +- Cleanup tutorial 9 (d374d02, Mark Bonicillo, Tue Apr 9 12:11:20 2024 -0700) +- Fix image link in tutorials 8 (ee33355, Mark Bonicillo, Tue Apr 9 12:04:59 2024 -0700) +- Fix call to toplexes method in tutorial 1 (dd8ea58, Mark Bonicillo, Tue Apr 9 11:50:19 2024 -0700) +- Update set and get methods on property store; fix bug (3311d58, Mark Bonicillo, Mon Apr 8 10:25:10 2024 -0700) +- Run linter (9f23c13, Mark Bonicillo, Mon Apr 8 08:13:03 2024 -0700) +- updated docs (4623ac7, Brenda Praggastis, Sun Apr 7 18:52:16 2024 -0700) +- updated test_hypergraph so that toplexes test works (657b8ef, Brenda Praggastis, Sun Apr 7 18:51:54 2024 -0700) +- hypergraph methods for add and remove and toplexes were updated , replaced keyword share_properties with inplace (9bd91f1, Brenda Praggastis, Sun Apr 7 18:51:27 2024 -0700) +- added check for items not in incidence dataframe (efc0b64, Brenda Praggastis, Sun Apr 7 18:48:50 2024 -0700) +- updated property_store so that _add_row can take multiple properties as kwargs. added copy to Property Store (0ceb77b, Brenda Praggastis, Sun Apr 7 18:45:27 2024 -0700) +- Pull request #150: Tutorials no infra (3491c6c, Bonicillo, Mark A, Sat Apr 6 00:12:02 2024 +0000) +- replaced Tutorial 10 with Francois's new version (4276532, Brenda Praggastis, Fri Apr 5 10:47:16 2024 -0700) +- Update to_dataframe, add hypergraph_view tests (4916497, Mark Bonicillo, Fri Apr 5 16:52:24 2024 -0700) +- removed files that don't belong in top level of tutorials (c863e84, Brenda Praggastis, Thu Apr 4 18:25:25 2024 -0700) +- updated Tutorial 9 and corresponding module. (b7933eb, Brenda Praggastis, Thu Apr 4 18:21:44 2024 -0700) +- updated Tutorial 10 (8397e9c, Brenda Praggastis, Thu Apr 4 18:00:37 2024 -0700) +- changed NList to AttrList to be consistent with previous version. (83dad8a, Brenda Praggastis, Thu Apr 4 14:22:59 2024 -0700) +- Run linter (d03c651, Mark Bonicillo, Thu Apr 4 09:43:43 2024 -0700) +- Tutorial 8 updates (9f70fea, Brenda Praggastis, Wed Apr 3 17:41:35 2024 -0700) +- updated tutorials 5,6,7 (5ddb33b, Brenda Praggastis, Wed Apr 3 12:50:27 2024 -0700) +- created to_dataframe method and removed property_view from property store (bd12e4d, Brenda Praggastis, Wed Apr 3 12:12:34 2024 -0700) +- updated tutorial 2 (1a3d424, Brenda Praggastis, Wed Apr 3 11:44:33 2024 -0700) +- updated vis (6421cdf, Brenda Praggastis, Wed Apr 3 11:21:27 2024 -0700) +- update tutorials again (dbdfe71, Brenda Praggastis, Wed Apr 3 10:29:17 2024 -0700) +- Remove setup.py (4ccbd11, Mark Bonicillo, Tue Apr 2 13:57:26 2024 -0700) +- Run formatter (10a99f2, Mark Bonicillo, Tue Apr 2 12:01:46 2024 -0700) +- Update tox.ini (10c259a, Mark Bonicillo, Tue Apr 2 11:41:08 2024 -0700) +- Update ci.yml (46aed8d, Mark Bonicillo, Mon Apr 1 13:16:42 2024 -0700) +- Fix github workflows (f655be4, Mark Bonicillo, Mon Apr 1 12:51:15 2024 -0700) +- Cleanup required dependencies (a60bff3, Mark Bonicillo, Mon Apr 1 11:32:46 2024 -0700) +- Update cz file (bad6401, Mark Bonicillo, Tue Mar 26 15:40:57 2024 -0700) +- Update GH workflows (2eaa364, Mark Bonicillo, Tue Mar 26 15:36:23 2024 -0700) +- Cleanup Makefile (d22d8a6, Mark Bonicillo, Mon Mar 25 23:51:17 2024 -0700) +- testing new docs-deps (dd6436f, Mark Bonicillo, Mon Mar 25 22:46:23 2024 -0700) +- testing (adb34e7, Mark Bonicillo, Mon Mar 25 22:26:24 2024 -0700) +- Modify tox to integrate with poetry (7f6ee9d, Mark Bonicillo, Mon Mar 25 16:15:50 2024 -0700) +- Add poetry (7703cf1, Mark Bonicillo, Mon Mar 25 11:19:36 2024 -0700) +- Pull request #147: Hypergraph edit (638870a, Praggastis, Brenda, Mon Apr 1 21:59:00 2024 +0000) +- removed old hypergraph code (1e1dbf7, Brenda Praggastis, Mon Apr 1 13:59:16 2024 -0700) +- removed .github from .gitignore (3e1c8b6, Brenda Praggastis, Mon Apr 1 13:57:34 2024 -0700) +- updated hypergraph from incidence matrix constructor (b9dbc0b, Brenda Praggastis, Fri Mar 29 18:08:47 2024 -0700) +- Merge branch 'develop' into develop (d38b2ff, Brenda Praggastis, Wed Mar 27 12:40:53 2024 -0700) +- removing notebooks not intended for sharing (126610b, Brenda Praggastis, Wed Mar 27 12:40:32 2024 -0700) +- Pull request #145: Add HNX paper (d0a7e3d, Bonicillo, Mark A, Wed Mar 27 19:12:05 2024 +0000) +- Add HNX paper (463d12f, Mark Bonicillo, Wed Mar 27 12:10:07 2024 -0700) +- Pull request #144: Feature/hyp 367 (519c771, Bonicillo, Mark A, Wed Mar 27 18:54:43 2024 +0000) +- Fix formatting (89c712b, Mark Bonicillo, Wed Mar 27 11:48:34 2024 -0700) +- adding arithmetic for hypergraphs (29cfed8, Brenda Praggastis, Wed Mar 27 11:44:23 2024 -0700) +- Bug fix: shouldn't require passing position for hyper-edges. (f93504f, Dustin Arendt, Tue Mar 26 14:51:52 2024 -0700) +- Remove nwhy decorator reference (c180bd0, Mark Bonicillo, Mon Mar 25 09:24:08 2024 -0700) +- Run linter; remove HNX_Paper (850ddd6, Mark Bonicillo, Mon Mar 25 09:18:30 2024 -0700) +- updated hypergraph code class method constructors (f13a325, Brenda Praggastis, Fri Mar 22 14:36:00 2024 -0700) +- Remove references to warn_nwhy deprecation decorator (f1c3e43, Mark Bonicillo, Fri Mar 22 11:43:24 2024 -0700) +- Remove deprecated NetworkX functions (379bc19, Mark Bonicillo, Fri Mar 22 11:35:46 2024 -0700) +- Remove unnecessary hypergraph test (3e70822, Mark Bonicillo, Fri Mar 22 11:11:56 2024 -0700) +- Fix incidence_store bug; move, update, and fix incidence store tests; (c05c4b4, Mark Bonicillo, Fri Mar 22 11:09:03 2024 -0700) +- Remove EntitySet and tests (598c69c, Mark Bonicillo, Fri Mar 22 09:37:24 2024 -0700) +- add incidences reference to access _E HypergraphView (0373ac5, Brenda Praggastis, Thu Mar 21 17:58:39 2024 -0700) +- removing hypergraph_outline to avoid versioning issues. new code is on hypergraph.py now (2d1f6db, Brenda Praggastis, Thu Mar 21 17:49:01 2024 -0700) +- centrality tutorial 5 is ready to go (aaef8dc, Brenda Praggastis, Thu Mar 21 17:47:26 2024 -0700) +- Updated the tutorials in basic 1,3,4 to work with new code.. (c1a80f0, Brenda Praggastis, Thu Mar 21 17:32:10 2024 -0700) +- moved old hypergraph code into hypergraph_2.0 and set hypergraph to match hypergraph_outline. updated dogsAndcats for testing (b6c230d, Brenda Praggastis, Thu Mar 21 16:33:16 2024 -0700) +- updated tests to work with new hypergraph code. commented out _by_setsystem tests until they can be upgraded (791cf89, Brenda Praggastis, Thu Mar 21 16:32:19 2024 -0700) +- updated collapse in incidence to separate functions for equivalence classes and collapse identical elements. user can now specify keys when collapsing (06bd85d, Brenda Praggastis, Thu Mar 21 16:31:24 2024 -0700) +- added is_empty to match old behavior (fc6b6a6, Brenda Praggastis, Thu Mar 21 16:30:11 2024 -0700) +- Refactor set property (f5bc644, Mark Bonicillo, Thu Mar 21 12:36:01 2024 -0700) +- Add properties_uids method (aa263c4, Mark Bonicillo, Thu Mar 21 11:30:27 2024 -0700) +- updated much of outline - time to start testing (b0b6055, Brenda Praggastis, Wed Mar 20 17:53:51 2024 -0700) +- added implementation for weighted incidence matrix and incidence dataframe (ec8c369, Brenda Praggastis, Wed Mar 20 13:54:20 2024 -0700) +- debugging new outline code (ac9127a, Brenda Praggastis, Wed Mar 20 10:32:37 2024 -0700) +- Update tests and docstrings; cleanup code (04bb9a7, Mark Bonicillo, Wed Mar 20 10:23:59 2024 -0700) +- adding functionality for collapsing and incidence matrix (c34278e, Brenda Praggastis, Tue Mar 19 20:19:37 2024 -0700) +- Merge branch 'develop' into feature/hyp-367 (36590d6, Brenda Praggastis, Mon Mar 18 18:07:00 2024 -0700) +- Pull request #143: HYP-396 Add CFF citation (b67b38b, Bonicillo, Mark A, Tue Mar 19 00:00:20 2024 +0000) +- Update docs, add helper method, update tests (3642fa8, Mark Bonicillo, Mon Mar 18 13:53:20 2024 -0700) +- Remove old propertystore and test (a4cfa30, Mark Bonicillo, Mon Mar 18 13:20:33 2024 -0700) +- updating hypergraph_outline methods to work with draw) (dad6085, Brenda Praggastis, Mon Mar 18 10:29:10 2024 -0700) +- updated to get basic functionality on hypergraph_outline. please review (47d6899, Brenda Praggastis, Sun Mar 17 16:23:54 2024 -0700) +- Update set_property; update docs, tests (5f0bad5, Mark Bonicillo, Fri Mar 15 16:56:04 2024 -0700) +- Updated factory to be more simple and allow indices to be provided. (3b13dd6, audun myers, Fri Mar 15 16:19:59 2024 -0400) +- updates for simplifying factory and propertystore (2d60e4d, Brenda Praggastis, Fri Mar 15 08:13:15 2024 -0700) +- fixed typo (54e887a, Brenda Praggastis, Thu Mar 14 15:19:56 2024 -0700) +- updating for default properties (0e19ba7, Brenda Praggastis, Thu Mar 14 12:53:48 2024 -0700) +- pulled and merged new content (044dddb, Brenda Praggastis, Thu Mar 14 11:18:59 2024 -0700) +- fixing syntax errors (cc230af, Brenda Praggastis, Wed Mar 13 12:00:06 2024 -0700) +- fixed syntax errors in 3 files (c016f3f, Brenda Praggastis, Wed Mar 13 08:57:29 2024 -0700) +- Refactor Index param (9ed8b54, Mark Bonicillo, Wed Mar 13 15:05:19 2024 -0700) +- changed uid column to 'uid' for edges and nodes and fixed index for uid_cols bug. (07c83af, audun myers, Wed Mar 13 14:21:35 2024 -0400) +- HYP-396 Add CFF citation; add cff workflow and badge (44e06fa, Mark Bonicillo, Wed Mar 13 09:23:22 2024 -0700) +- Adding level input to factory (e80403e, audun myers, Wed Mar 13 11:44:42 2024 -0400) +- Add index param to PropertyStore (f947720, Mark Bonicillo, Tue Mar 12 17:03:16 2024 -0700) +- Update property store, tests, notebook (4a9752a, Mark Bonicillo, Fri Mar 8 13:29:55 2024 -0800) +- added list factory method (c400777, audun myers, Thu Mar 7 16:13:56 2024 -0500) +- Added dictionary factory method and more examples (b43ec9e, audun myers, Thu Mar 7 15:39:29 2024 -0500) +- updated factory to follow hypergraph_outline structure (0b5cf2e, audun myers, Thu Mar 7 14:31:57 2024 -0500) +- removing tutorial to avoid conflicts (eab01de, Brenda Praggastis, Thu Mar 7 09:20:40 2024 -0800) +- working on notebook (c0ea4d7, Brenda Praggastis, Thu Mar 7 09:18:37 2024 -0800) +- updated hypergraph outline to notes from meeting (3dd9616, Brenda Praggastis, Wed Mar 6 14:11:26 2024 -0800) +- updates from meeting (a53b7af, Brenda Praggastis, Wed Mar 6 12:06:21 2024 -0800) +- updates (7ed7414, Brenda Praggastis, Wed Mar 6 10:41:14 2024 -0800) +- updates on outline (052f029, Brenda Praggastis, Wed Mar 6 10:39:43 2024 -0800) +- Run linter (4eadb9a, Mark Bonicillo, Wed Mar 6 09:11:38 2024 -0800) +- returns empty list for nieghbors if level =2 (3c56622, audun myers, Wed Mar 6 10:37:38 2024 -0500) +- Updating factory to have single dataframe to property store function (fe07fa1, audun myers, Wed Mar 6 10:36:13 2024 -0500) +- Run linter (80fe95e, Mark Bonicillo, Tue Mar 5 13:26:55 2024 -0800) +- Fix drawing module (d84d526, Mark Bonicillo, Tue Mar 5 13:10:49 2024 -0800) +- Remove paper-related doc (76ffef3, Mark Bonicillo, Tue Mar 5 12:58:56 2024 -0800) +- added outline of hypergraph constructor in hypergraph_outline.py (8943b7d, Brenda Praggastis, Tue Mar 5 11:12:07 2024 -0800) +- merged develop into branch (ede25b2, Brenda Praggastis, Tue Mar 5 10:29:54 2024 -0800) +- updated hypergraph outline with suggestions for factory methods (559e695, Brenda Praggastis, Tue Mar 5 10:23:14 2024 -0800) +- updated test data (e5442db, Brenda Praggastis, Mon Mar 4 14:24:09 2024 -0800) +- found small error in factory (6382c4d, audun myers, Fri Mar 1 17:10:18 2024 -0500) +- added multiple fixes discussed in HNX meeting for factory methods (32f93f3, audun myers, Fri Mar 1 17:00:30 2024 -0500) +- Revert "Add hypergraph_view factory method" (e2858fe, Mark Bonicillo, Wed Feb 28 12:37:19 2024 -0800) +- Allow DataFramePropertyStore to accept regular or multiindex dfs; change properties to misc_properties (5cdb85c, Mark Bonicillo, Wed Feb 28 12:31:38 2024 -0800) +- Finished adding all optional args to factory (747ca13, audun myers, Wed Feb 28 13:12:57 2024 -0500) +- Add hypergraph_view factory method (d90b2c3, Mark Bonicillo, Wed Feb 28 08:30:02 2024 -0800) +- Update property_store tests (b73e21f, Mark Bonicillo, Mon Feb 26 10:31:47 2024 -0800) +- added all optional args for factory method (97ff5bd, audun myers, Mon Feb 26 12:06:41 2024 -0500) +- small changes for better integration with hyp_view and existing code (4857324, Brenda Praggastis, Mon Feb 26 08:55:17 2024 -0800) +- small modifications to integrate better with existing code and hyp_view (fd73f5b, Brenda Praggastis, Mon Feb 26 08:54:39 2024 -0800) +- updates incorporating new property and incidence stores (15954cd, Brenda Praggastis, Mon Feb 26 08:53:55 2024 -0800) +- updates (67b7edd, Brenda Praggastis, Fri Feb 23 15:51:08 2024 -0800) +- updates (6a21358, Brenda Praggastis, Thu Feb 22 11:38:19 2024 -0800) +- Update factory.py (1c2881b, audun myers, Fri Feb 23 16:45:17 2024 -0500) +- Use MultiIndexDataframe for PropertyStore; update tests; add notebook (c9a94c6, Mark Bonicillo, Fri Feb 23 13:35:02 2024 -0800) +- test nb and data (5e01079, Brenda Praggastis, Wed Feb 21 12:01:27 2024 -0800) +- updates (ad7d792, Brenda Praggastis, Wed Feb 21 09:24:27 2024 -0800) +- finished draft dataframe factory method. (c66e952, audun myers, Mon Feb 19 10:33:25 2024 -0500) +- Implement DataFramePropertyStore; add tests (9a2e0f1, Mark Bonicillo, Fri Feb 16 01:03:21 2024 -0800) +- updated attrlist (cf8ce22, Brenda Praggastis, Thu Feb 15 12:35:57 2024 -0800) +- added methods (564abc1, Brenda Praggastis, Wed Feb 14 18:34:05 2024 -0800) +- hiding files in gitignore (70b3eba, Brenda Praggastis, Wed Feb 14 17:25:41 2024 -0800) +- slowly adding methods using proxies for incidence store and property store. (8f8f40d, Brenda Praggastis, Wed Feb 14 17:20:17 2024 -0800) +- comments on incidence store (58d4c68, Brenda Praggastis, Wed Feb 14 11:30:18 2024 -0800) +- updating view (d8c207e, Brenda Praggastis, Wed Feb 14 10:32:58 2024 -0800) +- Added the contain_hyper_edges flag to extend hulls (rubber bands) around hyperedge positions. Useful for when the bipartite graph is passed in, e.g. with_additional_edges=H.bipartite() (73f9c2e, Dustin Arendt, Thu Feb 1 14:35:59 2024 -0800) +- updated tutorial (d7af03f, Brenda Praggastis, Wed Feb 14 17:30:23 2024 -0800) +- update paper folder (aa22bd5, Brenda Praggastis, Wed Oct 18 13:23:29 2023 -0700) +- updated paper with orcid and doi ids (57e4075, Brenda Praggastis, Tue Oct 17 10:17:39 2023 -0700) +- fixed bib error (ffd67a1, Brenda Praggastis, Mon Oct 16 12:45:46 2023 -0700) +- rm pdf (c26dc10, Brenda Praggastis, Mon Oct 16 12:28:48 2023 -0700) +- adding Github action (30a91d3, Brenda Praggastis, Mon Oct 16 12:22:23 2023 -0700) +- adding paper for journal consideration (52e3cec, Brenda Praggastis, Mon Oct 16 12:14:22 2023 -0700) +- Update factory (079cb3e, Mark Bonicillo, Wed Feb 14 12:46:11 2024 -0800) +- Update property_store (32eec45, Mark Bonicillo, Wed Feb 14 06:43:48 2024 -0800) +- updating tests to function correctly. (62f51a1, audun myers, Mon Feb 12 15:04:41 2024 -0500) +- Coding incidence store and adding incidence store tests (3c09b18, audun myers, Mon Feb 12 12:25:43 2024 -0500) +- Update property_store, tests; add factory stubs (9d89948, Mark Bonicillo, Tue Feb 6 15:53:49 2024 -0800) +- updating descriptions on hypergraph and entityset methods (8045e3f, audun myers, Thu Jan 18 10:22:52 2024 -0500) +- HYP-367 Add factory method stubs for PropertyStoreFactory; update tests; add methods to HarryPotter toy (1128fe2, Mark Bonicillo, Tue Jan 16 16:10:20 2024 -0800) +- Adding comments at top of each method in hypergraph.py and entityset.py for where new methods will belong in stores. (1ec92ec, audun myers, Wed Jan 17 12:45:42 2024 -0500) +- update incidence view and hypview (83a3723, Brenda Praggastis, Wed Jan 24 14:04:40 2024 -0800) +- updated hypview and incidence store (13248dd, Brenda Praggastis, Wed Jan 24 13:59:25 2024 -0800) +- Adding more detailed stubs (3bbee81, audun myers, Tue Jan 16 11:56:19 2024 -0500) +- Continued stubbing out incidenceStore (23471bf, audun myers, Tue Jan 16 11:31:20 2024 -0500) +- HYP-367 Add stubs for PropertyStore (6a0c087, Mark Bonicillo, Mon Jan 15 17:09:09 2024 -0800) +- Merge pull request #147 from wlruys/networkx3-support-develop (f37c169, Mark Bonicillo, Mon Mar 4 11:02:31 2024 -0800) +- Update usage of deprecated NetworkX adjacency matrix to graph conversion function. (18b04a4, dialecticDolt, Fri Feb 16 19:55:21 2024 -0600) +- Pull request #142: Release/v2.2.0 (d31c24d, Bonicillo, Mark A, Fri Mar 1 23:21:35 2024 +0000) +- Pull request #141: Release/v2.2.0 (706d842, Bonicillo, Mark A, Fri Mar 1 23:01:05 2024 +0000) +- Pull request #138: Hotfix/joss paper (87be2bc, Bonicillo, Mark A, Wed Feb 14 23:54:01 2024 +0000) + +**Full Changelog**:https://github.com/pnnl/HyperNetX/compare/v2.2.0...v2.3 diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 00000000..42f6bbf7 --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,68 @@ +cff-version: "1.2.0" +authors: +- family-names: Praggastis + given-names: Brenda + orcid: "https://orcid.org/0000-0003-1344-0497" +- family-names: Aksoy + given-names: Sinan + orcid: "https://orcid.org/0000-0002-3466-3334" +- family-names: Arendt + given-names: Dustin + orcid: "https://orcid.org/0000-0003-2466-199X" +- family-names: Bonicillo + given-names: Mark + orcid: "https://orcid.org/0009-0003-9764-2180" +- family-names: Joslyn + given-names: Cliff + orcid: "https://orcid.org/0000-0002-5923-5547" +- family-names: Purvine + given-names: Emilie + orcid: "https://orcid.org/0000-0003-2069-5594" +- family-names: Shapiro + given-names: Madelyn + orcid: "https://orcid.org/0000-0002-2786-7056" +- family-names: Yun + given-names: Ji Young +doi: 10.5281/zenodo.10795225 +message: If you use this software, please cite our article in the + Journal of Open Source Software. +preferred-citation: + authors: + - family-names: Praggastis + given-names: Brenda + orcid: "https://orcid.org/0000-0003-1344-0497" + - family-names: Aksoy + given-names: Sinan + orcid: "https://orcid.org/0000-0002-3466-3334" + - family-names: Arendt + given-names: Dustin + orcid: "https://orcid.org/0000-0003-2466-199X" + - family-names: Bonicillo + given-names: Mark + orcid: "https://orcid.org/0009-0003-9764-2180" + - family-names: Joslyn + given-names: Cliff + orcid: "https://orcid.org/0000-0002-5923-5547" + - family-names: Purvine + given-names: Emilie + orcid: "https://orcid.org/0000-0003-2069-5594" + - family-names: Shapiro + given-names: Madelyn + orcid: "https://orcid.org/0000-0002-2786-7056" + - family-names: Yun + given-names: Ji Young + date-published: 2024-03-09 + doi: 10.21105/joss.06016 + issn: 2475-9066 + issue: 95 + journal: Journal of Open Source Software + publisher: + name: Open Journals + start: 6016 + title: "HyperNetX: A Python package for modeling complex network data + as hypergraphs" + type: article + url: "https://joss.theoj.org/papers/10.21105/joss.06016" + volume: 9 +title: "HyperNetX: A Python package for modeling complex network data as + hypergraphs" diff --git a/HNX_Paper/Figures/3graphs.png b/HNX_Paper/Figures/3graphs.png new file mode 100755 index 00000000..0928c02b Binary files /dev/null and b/HNX_Paper/Figures/3graphs.png differ diff --git a/HNX_Paper/Figures/hnxexample.png b/HNX_Paper/Figures/hnxexample.png new file mode 100755 index 00000000..51b5f941 Binary files /dev/null and b/HNX_Paper/Figures/hnxexample.png differ diff --git a/HNX_Paper/paper.bib b/HNX_Paper/paper.bib new file mode 100755 index 00000000..1788525a --- /dev/null +++ b/HNX_Paper/paper.bib @@ -0,0 +1,261 @@ + +@inproceedings{Joslyn2020DNS, + address = {Cham}, + doi={10.1007/978-3-030-48478-1_1}, + author = {Joslyn, Cliff A. and Aksoy, Sinan and Arendt, Dustin and Firoz, Jesun and Jenkins, Louis and Praggastis, Brenda and Purvine, Emilie and Zalewski, Marcin}, + booktitle = {Algorithms and Models for the Web Graph}, + editor = {Kami{\'{n}}ski, Bogumi{\l} and Pra{\l}at, Pawe{\l} and Szufel, Przemys{\l}aw}, + isbn = {978-3-030-48478-1}, + pages = {1--15}, + publisher = {Springer International Publishing}, + title = {Hypergraph Analytics of Domain Name System Relationships}, + year = {2020}} + +@article{Molnar2022Application, + title={The application of directed hyper-graphs for analysis of models of information systems}, + doi={10.3390/math10050759}, + author={Moln{\'a}r, B{\'a}lint and Bencz{\'u}r, Andr{\'a}s}, + journal={Mathematics}, + volume={10}, + number={5}, + pages={759}, + year={2022}, + publisher={MDPI} +} + +/// Tony's work to quickly compute overlap sizes +@inproceedings{Liu2021Parallel, + title={Parallel algorithms for efficient computation of high-order line graphs of hypergraphs}, + doi={10.1109/hipc53243.2021.00045}, + author={Liu, Xu T and Firoz, Jesun and Lumsdaine, Andrew and Joslyn, Cliff and Aksoy, Sinan and Praggastis, Brenda and Gebremedhin, Assefaw H}, + booktitle={2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)}, + pages={312--321}, + year={2021}, + organization={IEEE} +} + +@article{Zhou2022Topological, + title={Topological simplifications of hypergraphs}, + doi={10.1109/tvcg.2022.3153895}, + author={Zhou, Youjia and Rathore, Archit and Purvine, Emilie and Wang, Bei}, + journal={IEEE Transactions on Visualization and Computer Graphics}, + year={2022}, + publisher={IEEE} +} + +@article{Aksoy2020Hypernetwork, + title={Hypernetwork science via high-order hypergraph walks}, + doi={10.1140/epjds/s13688-020-00231-0}, + author={Aksoy, Sinan G and Joslyn, Cliff and Marrero, Carlos Ortiz and Praggastis, Brenda and Purvine, Emilie}, + journal={EPJ Data Science}, + volume={9}, + number={1}, + pages={16}, + year={2020}, + publisher={Springer Berlin Heidelberg} +} + +@article{Pickard2023HAT, + title={HAT: Hypergraph analysis toolbox}, + doi={10.1371/journal.pcbi.1011190}, + author={Pickard, Joshua and Chen, Can and Salman, Rahmy and Stansbury, Cooper and Kim, Sion and Surana, Amit and Bloch, Anthony and Rajapakse, Indika}, + journal={PLOS Computational Biology}, + volume={19}, + number={6}, + pages={e1011190}, + year={2023}, + publisher={Public Library of Science San Francisco, CA USA} +} + +@misc{Berge1973Graphs, + title={Graphs and {H}ypergraphs,(translated by {E}dward {M}inieka)}, + doi={10.1016/s0924-6509(09)x7013-3}, + author={Berge, Claude}, + year={1973}, + publisher={American Elsevier, New York} +} + +@book{Berge1984Hypergraphs, + title={Hypergraphs: combinatorics of finite sets}, + doi={10.1016/s0924-6509(08)x7007-2}, + author={Berge, Claude}, + volume={45}, + year={1984}, + publisher={Elsevier} +} + +@article{Feng2021, + title={Hypergraph models of biological networks to identify genes critical to pathogenic viral response}, + doi={10.1186/s12859-021-04197-2}, + author={Feng, Song and Heath, Emily and Jefferson, Brett and Joslyn, Cliff and Kvinge, Henry and Mitchell, Hugh D and Praggastis, Brenda and Eisfeld, Amie J and Sims, Amy C and Thackray, Larissa B and others}, + journal={BMC bioinformatics}, + volume={22}, + number={1}, + pages={1--21}, + year={2021}, + publisher={BioMed Central} +} + +// uses HNX vis capabilities +@article{Vazquez2022Growth, + title={Growth principles of natural hypergraphs}, + doi={10.48550/arXiv.2208.03103}, + author={Vazquez, Alexei}, + journal={arXiv preprint arXiv:2208.03103}, + year={2022} +} + +@article{Lotito2023Hypergraphx, + title={Hypergraphx: a library for higher-order network analysis}, + doi={10.1093/comnet/cnad019}, + author={Lotito, Quintino Francesco and Contisciani, Martina and De Bacco, Caterina and Di Gaetano, Leonardo and Gallo, Luca and Montresor, Alberto and Musciotto, Federico and Ruggeri, Nicol{\`o} and Battiston, Federico}, + journal={Journal of Complex Networks}, + volume={11}, + number={3}, + pages={cnad019}, + year={2023}, + publisher={Oxford University Press} +} + +@article{Praggastis2022SVD, + title={The SVD of Convolutional Weights: A CNN Interpretability Framework}, + doi={10.48550/arXiv.2208.06894}, + author={Praggastis, Brenda and Brown, Davis and Marrero, Carlos Ortiz and Purvine, Emilie and Shapiro, Madelyn and Wang, Bei}, + journal={arXiv preprint arXiv:2208.06894}, + year={2022} +} + +@inproceedings{Joslyn2021, + address = {Cham}, + doi={10.1007/978-3-030-67318-5_25}, + author = {Joslyn, Cliff A. and Aksoy, Sinan G. and Callahan, Tiffany J. and Hunter, Lawrence E. and Jefferson, Brett and Praggastis, Brenda and Purvine, Emilie and Tripodi, Ignacio J.}, + booktitle = {Unifying Themes in Complex Systems X}, + editor = {Braha, Dan and de Aguiar, Marcus A. M. and Gershenson, Carlos and Morales, Alfredo J. and Kaufman, Les and Naumova, Elena N. and Minai, Ali A. and Bar-Yam, Yaneer}, + isbn = {978-3-030-67318-5}, + pages = {377--392}, + publisher = {Springer International Publishing}, + title = {Hypernetwork Science: From Multidimensional Networks to Computational Topology}, + year = {2021}} + +@article{Torres2021, + author = {Torres, Leo and Blevins, Ann S. and Bassett, Danielle and Eliassi-Rad, Tina}, + doi = {10.1137/20M1355896}, + eprint = {https://doi.org/10.1137/20M1355896}, + journal = {SIAM Review}, + number = {3}, + pages = {435-485}, + title = {The Why, How, and When of Representations for Complex Systems}, + url = {https://doi.org/10.1137/20M1355896}, + volume = {63}, + year = {2021}, + bdsk-url-1 = {https://doi.org/10.1137/20M1355896}} + +@article{Kurte2021, +title = {Phoenix: A Scalable Streaming Hypergraph Analysis Framework}, +author = {Kurte, Kuldeep and Imam, Neena and Hasan, S M Shamimul and Kannan, Ramakrishnan}, +doi = {10.1007/978-3-030-71704-9_1}, +url = {https://www.osti.gov/biblio/1830117}, +issn = {2569--7072}, +place = {United States}, +year = {2021}, +month = {10} +} + +@book{knuth1993, + title={The Stanford GraphBase: a platform for combinatorial computing}, + author={Knuth, Donald Ervin}, + volume={1}, + year={1993}, + publisher={AcM Press New York} +} + +@misc{antonov2023igraph, + title={{i}graph enables fast and robust network analysis across programming languages}, + author={Michael Antonov and Gábor Csárdi and Szabolcs Horvát and Kirill Müller and Tamás Nepusz and Daniel Noom and Maëlle Salmon and Vincent Traag and Brooke Foucault Welles and Fabio Zanini}, + year={2023}, + eprint={2311.10260}, + archivePrefix={arXiv}, + primaryClass={cs.SI} +} + +@article{csardi2006igraph, + title={The {i}graph software package for complex network research}, + author={Csardi, Gabor and Nepusz, Tamas and others}, + journal={InterJournal, complex systems}, + volume={1695}, + number={5}, + pages={1--9}, + year={2006} +} + +@inproceedings{joslyn2018, + title={HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase.}, + author={Joslyn, Cliff A and Robinson, Michael and Smart, J and Agarwal, Khushbu and Bridgeland, David and Brown, Adam and Choudhury, Sutanay and Jefferson, Brett A and Praggastis, Brenda and Purvine, Emilie and others}, + booktitle={TAC}, + year={2018} +} + +@article{Landry2023, + doi = {10.21105/joss.05162}, + url = {https://doi.org/10.21105/joss.05162}, + year = {2023}, publisher = {The Open Journal}, + volume = {8}, + number = {85}, + pages = {5162}, + author = {Nicholas W. Landry and Maxime Lucas and Iacopo Iacopini and Giovanni Petri and Alice Schwarze and Alice Patania and Leo Torres}, + title = {XGI: A Python package for higher-order interaction networks}, journal = {Journal of Open Source Software} +} + +@inproceedings{Szufel2019, + title={SimpleHypergraphs. jl—novel software framework for modelling and analysis of hypergraphs}, + doi={10.1007/978-3-030-25070-6_9}, + author={Antelmi, Alessia and Cordasco, Gennaro and Kami{\'n}ski, Bogumi{\l} and Pra{\l}at, Pawe{\l} and Scarano, Vittorio and Spagnuolo, Carmine and Szufel, Przemyslaw}, + booktitle={Algorithms and Models for the Web Graph: 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6--7, 2019, Proceedings 16}, + pages={115--129}, + year={2019}, + organization={Springer} +} + +@article{Colby2023, + author = {Sean M Colby and Madelyn R Shapiro and Andy Lin and Aivett Bilbao and Corey D Broeckling and Emilie Purvine and Cliff A Joslyn}, + doi = {10.1101/2023.09.29.560191}, + elocation-id = {2023.09.29.560191}, + eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.29.560191.full.pdf}, + journal = {bioRxiv}, + publisher = {Cold Spring Harbor Laboratory}, + title = {Introducing Molecular Hypernetworks for Discovery in Multidimensional Metabolomics Data}, + url = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.29.560191}, + year = {2023}, + bdsk-url-1 = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.29.560191}, + bdsk-url-2 = {https://doi.org/10.1101/2023.09.29.560191}} + +@software{reback2020pandas, + author = {{The pandas development team}}, + title = {{pandas-dev/pandas: Pandas}}, + month = feb, + year = 2020, + publisher = {Zenodo}, + version = {latest}, + doi = {10.5281/zenodo.3509134}, + url = {https://doi.org/10.5281/zenodo.3509134} +} + +@InProceedings{ mckinney-proc-scipy-2010, + author = { {W}es {M}c{K}inney }, + title = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython }, + booktitle = { {P}roceedings of the 9th {P}ython in {S}cience {C}onference }, + pages = { 56 - 61 }, + year = { 2010 }, + editor = { {S}t\'efan van der {W}alt and {J}arrod {M}illman }, + doi = { 10.25080/Majora-92bf1922-00a } +} + +@InProceedings{SciPyProceedings_11, + author = {Aric A. Hagberg and Daniel A. Schult and Pieter J. Swart}, + title = {Exploring Network Structure, Dynamics, and Function using NetworkX}, + booktitle = {Proceedings of the 7th Python in Science Conference}, + pages = {11 - 15}, + address = {Pasadena, CA USA}, + year = {2008}, + editor = {Ga\"el Varoquaux and Travis Vaught and Jarrod Millman}, +} diff --git a/HNX_Paper/paper.md b/HNX_Paper/paper.md new file mode 100755 index 00000000..95f1087d --- /dev/null +++ b/HNX_Paper/paper.md @@ -0,0 +1,126 @@ +--- +title: 'HyperNetX: A Python package for modeling complex network data as hypergraphs' +tags: +- Python +- hypergraph +- network science +- simplicial-complexes +- knowledge graph +- simplicial-homology +- s-linegraph +- property hypergraph +authors: +- name: Brenda Praggastis + orcid: 0000-0003-1344-0497 + affiliation: "1" +- name: Sinan Aksoy + orcid: 0000-0002-3466-3334 + affiliation: "1" +- name: Dustin Arendt + orcid: 0000-0003-2466-199X + affiliation: "1" +- name: Mark Bonicillo + affiliation: "1" +- name: Cliff Joslyn + orcid: 0000-0002-5923-5547 + affiliation: "1" +- name: Emilie Purvine + orcid: 0000-0003-2069-5594 + affiliation: "1" +- name: Madelyn Shapiro + orcid: 0000-0002-2786-7056 + affiliation: "1" +- name: Ji Young Yun + affiliation: "1" +affiliations: +- name: Pacific Northwest National Laboratory, USA + index: 1 + +date: 21 June 2023 +bibliography: paper.bib + +--- + +# Summary +HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex network data modeled as hypergraphs. +Initially released in 2019, HNX facilitates exploratory data analysis of complex networks using algebraic topology, combinatorics, and generalized hypergraph and graph theoretical methods on structured data inputs. +With its 2023 release, the library supports attaching metadata, numerical and categorical, to nodes (vertices) and hyperedges, as well as to node-hyperedge pairings (incidences). +HNX has a customizable Matplotlib-based visualization module as well as HypernetX-Widget, its JavaScript addon for interactive exploration and visualization of hypergraphs within Jupyter Notebooks. Both packages are available on GitHub and PyPI. With a growing community of users and collaborators, HNX has become a preeminent tool for hypergraph analysis. + +![HNX-Widget is an add-on for the Jupyter Notebook +computational environment, enabling users to view and interactively +explore hypergraphs. +The main features of the tool are: 1) adjustable layout 2) advanced +selection and 3) visual encoding of node and edge properties. +Metadata may be attached to the tool by providing tabular data via two optional data frames indexed by node and hyperedge identifiers. Above is an HNX-Widget visualization of a Scene to Character mapping from the LesMis dataset [@knuth1993].](Figures/hnxexample.png){height="225pt"} + + +# Statement of need +For more than a century, graph theory has provided powerful methods for studying network relationships among abstract entities. +Since the early 2000's, software packages such as NetworkX [@SciPyProceedings_11] and `igraph` [@csardi2006igraph;@antonov2023igraph] have +made these theoretical tools available to data scientists for studying large data sets. +Graphs represent pairwise interactions between entities, but for many network datasets this is a severe limitation. +In 1973, hypergraphs were introduced by Claude Berge [@Berge1973Graphs] as a strict generalization of graphs: a hyperedge in a hypergraph can contain any number of nodes, including 1, 2, or more. +Hypergraphs have been used to model complex network datasets in +areas such as the biological sciences, information systems, the power grid, and cyber security. +Hypergraphs strictly generalize graphs (all graphs are (2-uniform) hypergraphs), and thus can represent additional data complexity and have more mathematical properties to exploit (for example, hyperedges can be contained in other hyperedges). As mathematical set systems, simplicial and homological methods from +Algebraic Topology are well suited to aid in their analysis [@Joslyn2021;@Torres2021]. +With the development of hypergraph modeling methods, new software was required to support +experimentation and exploration, which prompted the development of HyperNetX. + +## Related Software +Due to the diversity of hypergraph modeling applications, hypergraph software libraries are +often bootstrapped using data structures and methods most appropriate to their usage. +In 2020 SimpleHypergraph.jl was made available for high performance computing on hypergraphs using Julia. +The library offers a suite of tools for centrality analysis and community detection and integrates its own +visualization tools with those offered by HNX [@Szufel2019]. In 2021 CompleX Group Interactions (XGI) was released. +Originally developed to efficiently discover spreading processes in complex social systems, the library now offers +a statistics package as well as a full suite of hypergraph analysis and visualization tools[@Landry2023]. +More recently, in 2023 HyperGraphX (HGX) was released, again with a full suite of tools for community detection +as well as general hypergraph analytics [@Lotito2023Hypergraphx]. +A nice compendium of many of the hypergraph libraries created in the last decade can be found in @Kurte2021. + +HNX leads the effort to share library capabilities by specifying a Hypergraph Interchange Format (HIF) +for storing hypergraph data as a JSON object. Since hypergraphs can store metadata on its nodes, +hyperedges, and incidence pairs, a standardized format makes it easy to share hypergraphs across libraries. + +![Visualizations from hypergraph libraries based on the bipartite graph seen in grey + under the HyperNetX visualization (left side): XGI (Center), @Landry2023 and SimpleHypergraph (Right), @Szufel2019.](Figures/3graphs.png) + +# Overview of HNX +HNX serves as a platform for the collaboration and sharing of hypergraph +methods within the research community. +Originally intended to generalize many of the methods from NetworkX +to hypergraphs, HNX now has implementations for many hypergraph-specific metrics. +While graph paths can be measured by length, +hypergraph paths also have a width parameter *s*, given by the minimum intersection size +of incident hyperedges in the path [@Aksoy2020Hypernetwork]. +HNX uses this *s* parameter in many of +its core methods as well as in its *s-*centrality module. +As set systems, hypergraphs can be viewed as subsets of abstract simplicial +complexes – combinatorial projections of geometric objects constructed from points, line +segments, triangles, tetrahedrons, and their higher dimensional analogues. +HNX's Simplicial Homology module identifies and computes the *voids* of different dimensions +in the simplicial complexes generated by modestly sized hypergraphs. +These objects, which are used for defining the *Homology Groups* +studied by Algebraic Topologists, offer new metrics for exploratory +data science. + +As a collaborative platform, HNX contains contributed modules +and tutorials in the form of Jupyter notebooks +for Laplacian clustering, clustering and modularity, synthetic +generation of hypergraphs, and Contagion Theory. +In its latest release, HNX 2.0 uses Pandas dataframes[@reback2020pandas;@mckinney-proc-scipy-2010] as its underlying data structure, +making the nodes and hyperedges of a hypergraph as accessible as the +cells in a dataframe. +This simple design allows HNX to import data from semantically +loaded graphs such as property graphs and knowledge graphs, +in order to model and explore their higher order relationships. +Because it is open source, HNX provides a unique opportunity for +hypergraph researchers to implement their own methods built from +HNX and contribute them as modules and Jupyter tutorials to the HNX user community. + +## Projects using HNX +HNX was created by the Pacific Northwest National Laboratory. It has provided data analysis and visualization support for academic papers in subject areas such as biological systems [@Feng2021;@Colby2023], cyber security [@Joslyn2020DNS], information systems [@Molnar2022Application], neural networks [@Praggastis2022SVD], knowledge graphs [@joslyn2018], and the foundations of hypergraph theory [@Vazquez2022Growth]. + +# References diff --git a/HNX_Paper/paper.pdf b/HNX_Paper/paper.pdf new file mode 100755 index 00000000..b8c29288 Binary files /dev/null and b/HNX_Paper/paper.pdf differ diff --git a/HNX_Paper/paper.tex b/HNX_Paper/paper.tex new file mode 100755 index 00000000..a3ceb8fd --- /dev/null +++ b/HNX_Paper/paper.tex @@ -0,0 +1,122 @@ +\documentclass{article} +\usepackage[utf8]{inputenc} + +\title{HyperNetX: A Python package for modeling complex network data as hypergraphs} +\author{Brenda Praggastis + \and Sinan Aksoy + \and Dustin Arendt + \and Mark Bonicillo + \and Cliff Joslyn + \and Emilie Purvine + \and Madelyn Shapiro + \and Ji Young Yun} + +\date{June 2023} + +\usepackage{natbib} +\usepackage{graphicx} + +\begin{document} + +\maketitle + +\abstract{ +HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex network data modeled as hypergraphs. +Initially released in 2019, HNX facilitates exploratory data analysis of complex networks using algebraic topology, combinatorics, and generalized hypergraph and graph theoretical methods on structured data inputs. +With its 2023 release, the library supports attaching metadata, numerical and categorical, to nodes (vertices) and hyperedges, as well as to node-hyperedge pairings (incidences). +HNX has a customizable Matplotlib-based visualization module as well as HypernetX-Widget, its JavaScript addon for interactive exploration and visualization of hypergraphs within Jupyter Notebooks. Both packages are available on GitHub and PyPI. With a growing community of users and collaborators, HNX has become a preeminent tool for hypergraph analysis. +} + +\begin{figure}[h!] + \centering + \includegraphics[height=225pt]{Figures/hnxexample.png} + \caption{HNX-Widget visualization of a Scene to Character mapping from the LesMis dataset \cite{knuth1993}.} + \label{fig:hnxexample} + \end{figure} + +\section{Statement of need} +For more than a century, graph theory has provided powerful methods for studying network relationships among abstract entities. +Since the early 2000's, software packages such as NetworkX \cite{hagberg2020}and Igraph \cite{csardi2006} have +made these theoretical tools available to data scientists for studying large data sets. +Graphs represent pairwise interactions between entities, but for many network datasets this is a severe limitation. +In 1973, hypergraphs were introduced by Claude Berge \cite{Berge1973Graphs}as a strict generalization of graphs: a hyperedge in a hypergraph can contain any number of nodes, including 1, 2, or more. +Hypergraphs have been used to model complex network datasets in +areas such as the biological sciences, information systems, the power grid, and cyber security. +Hypergraphs strictly generalize graphs (all graphs are (2-uniform) hypergraphs), and thus can represent additional data complexity and have more mathematical properties to exploit (for example, hyperedges can be contained in other hyperedges). As mathematical set systems, simplicial and homological methods from +Algebraic Topology are well suited to aid in their analysis \cite{Joslyn2021,Torres2021}. +With the development of hypergraph modeling methods, new software was required to support +experimentation and exploration, which prompted the development of HyperNetX. + +\section{Related Software} +Due to the diversity of hypergraph modeling applications, hypergraph software libraries are +often bootstrapped using data structures and methods most appropriate to their usage. +A nice compendium of many of the hypergraph libraries created in the last decade can be found in \cite{Kurte2021}. +HNX leads the effort to share library capabilities by specifying a Hypergraph Interchange Format (HIF) +for storing hypergraph data as a JSON object. Since hypergraphs can store metadata on its nodes, +hyperedges, and incidence pairs, a standardized format makes it easy to share hypergraphs across libraries. + +\begin{figure}[h!] + \centering + \includegraphics[]{Figures/3graphs.png} + \caption{Visualizations from hypergraph libraries based on the bipartite graph seen in grey + under the HyperNetX visualization (left side): XGI (Center), \cite{Landry2023} and SimpleHypergraph (Right), \cite{Szufel2019}.} + \label{fig:3graphs} + \end{figure} + +\section{Overview of HNX} +HNX serves as a platform for the collaboration and sharing of hypergraph +methods within the research community. +Originally intended to generalize many of the methods from NetworkX +to hypergraphs, HNX now has implementations for many hypergraph-specific metrics. +While graph paths can be measured by length, +hypergraph paths also have a width parameter *s*, given by the minimum intersection size +of incident hyperedges in the path \cite{Aksoy2020Hypernetwork]. +HNX uses this *s* parameter in many of +its core methods as well as in its *s-*centrality module. +As set systems, hypergraphs can be viewed as subsets of abstract simplicial +complexes – combinatorial projections of geometric objects constructed from points, line +segments, triangles, tetrahedrons, and their higher dimensional analogues. +HNX's Simplicial Homology module identifies and computes the *voids* of different dimensions +in the simplicial complexes generated by modestly sized hypergraphs. +These objects, which are used for defining the \textit{Homology Groups} +studied by Algebraic Topologists, offer new metrics for exploratory +data science. + +As a collaborative platform, HNX contains contributed modules +and tutorials in the form of Jupyter notebooks +for Laplacian clustering, clustering and modularity, synthetic +generation of hypergraphs, and Contagion Theory. +In its latest release, HNX 2.0 uses Pandas dataframes as its underlying data structure, +making the nodes and hyperedges of a hypergraph as accessible as the +cells in a dataframe. +This simple design allows HNX to import data from semantically +loaded graphs such as property graphs and knowledge graphs, +in order to model and explore their higher order relationships. +Because it is open source, HNX provides a unique opportunity for +hypergraph researchers to implement their own methods built from +HNX and contribute them as modules and Jupyter tutorials to the HNX user community. + +\section{HNX-Widget: Interactive Diagrams of Hypergraphs} +HNX interfaces with an add-on widget for the Jupyter Notebook +computational environment, enabling users to view and interactively +explore hypergraphs, see Figure 1. +The main features of the tool are: 1) adjustable layout 2) advanced +selection and 3) visual encoding of node and edge properties. + +The primary tool of the widget is an Euler diagram visualization approach that shows nodes as circles and hyperedges as closed curves surrounding the nodes/circles they contain. The tool uses a force directed layout of the underlying bipartite representation to determine the position of the nodes. Hyperedges are then drawn as convex hulls given the node positions. To remove overlapping hyperedges the user and can move and pin nodes as desired. +Selection of nodes and hyperedges is available via clicking, brushing, and advanced methods. For example, the set of selected nodes can be expanded by selecting all nodes contained by selected edges, and vice versa. + +% + +% +% + + +Metadata may be attached to the tool by providing tabular data via two optional data frames indexed by node and hyperedge identifiers. Single rows from these tables become visible to the user in a tooltip when they hover over a node or hyperedge in this tool. The user can configure the tool to encode the node size or color and the hyperedge color using a column in these data tables. + +\cite{Projects using HNX} +HNX was created by the Pacific Northwest National Laboratory. It has provided data analysis and visualization support for academic papers in subject areas such as biological systems \cite{Feng2021;@Colby2023], cyber security \cite{Joslyn2020DNS], information systems \cite{Molnar2022Application], neural networks \cite{Praggastis2022SVD], knowledge graphs \cite{joslyn2018], and the foundations of hypergraph theory \cite{Vazquez2022Growth]. + +\bibliographystyle{plain} +\bibliography{paper} +\end{document} diff --git a/LICENSE.rst b/LICENSE.rst index 5e8f9e29..b6a0aee2 100644 --- a/LICENSE.rst +++ b/LICENSE.rst @@ -5,7 +5,7 @@ License HyperNetX -Copyright 2018, 2023, Battelle Memorial Institute +Copyright 2018, 2023, 2024, Battelle Memorial Institute Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: diff --git a/LONG_DESCRIPTION.rst b/LONG_DESCRIPTION.rst index 1c7ed11e..4609d9be 100644 --- a/LONG_DESCRIPTION.rst +++ b/LONG_DESCRIPTION.rst @@ -24,37 +24,27 @@ Documentation is available at: https://pnnl.github.io/HyperNetX For questions and comments contact the developers directly at: hypernetx@pnnl.gov -New Features in Version 2.0 ---------------------------- +HyperNetX 2.3 +============= -HNX 2.0 now accepts metadata as core attributes of the edges and nodes of a -hypergraph. While the library continues to accept lists, dictionaries and -dataframes as basic inputs for hypergraph constructions, both cell -properties and edge and node properties can now be easily added for -retrieval as object attributes. +HyperNetX 2.3. is the latest, stable release. The core library has been refactored to take better advantage +of Pandas Dataframes, improve readability and maintainability, address bugs, and make it easier to change. +New features have been added, most notably the ability to add and remove edges, nodes, and incidences. Updating is recommended. -The core library has been rebuilt to take advantage of the flexibility and speed of Pandas Dataframes. -Dataframes offer the ability to store and easily access hypergraph metadata. Metadata can be used for filtering objects, and characterize their -distributions by their attributes. - -**Version 2.0 is not backwards compatible. Objects constructed using version -1.x can be imported from their incidence dictionaries.** +**Version 2.3 is not backwards compatible. Objects constructed using earlier versions +can be imported using their incidence dictionaries and/or property datafames.** What's New ~~~~~~~~~~~~~~~~~~~~~~~~~ -#. The Hypergraph constructor now accepts nested dictionaries with incidence cell properties, pandas.DataFrames, and 2-column Numpy arrays. -#. Additional constructors accept incidence matrices and incidence dataframes. -#. Hypergraph constructors accept cell, edge, and node metadata. -#. Metadata available as attributes on the cells, edges, and nodes. -#. User-defined cell weights and default weights available to incidence matrix. -#. Meta data persists with restrictions and removals. -#. Meta data persists onto s-linegraphs as node attributes of Networkx graphs. -#. New hnxwidget available using `pip install hnxwidget`. - +#. We've added new functionality to Hypergraphs; you can add and remove nodes, edges, and incidences on Hypergraph. +#. Arithmetic operations have also been added to Hypergraph: sum, difference, union, intersection +#. We've also added a new tutorial on basic hypergraph arithmetic operations +#. Under the hood, the EntitySet has been replaced by HypergraphView, new factory methods have been created to support +the Hypergraph constructor, and internal classes such as IncidenceStore and PropertyStore help maintain the structure +and attributes of a Hypergraph What's Changed ~~~~~~~~~~~~~~~~~~~~~~~~~ -#. The `static` and `dynamic` distinctions no longer exist. All hypergraphs use the same underlying data structure, supported by Pandas dataFrames. All hypergraphs maintain a `state_dict` to avoid repeating computations. -#. Methods for adding nodes and hyperedges are currently not supported. -#. The `nwhy` optimizations are no longer supported. -#. Entity and EntitySet classes are being moved to the background. The Hypergraph constructor does not accept either. +#. Documentation has received a major update; the Glossary and docstrings of Hypergraph have been updated. +#. HNX now requires Python ^3.10,<=3.12 +#. We've upgraded all the underlying core libraries to the latest versions. diff --git a/Makefile b/Makefile index 42b60458..9d9dd79a 100644 --- a/Makefile +++ b/Makefile @@ -1,131 +1,125 @@ SHELL = /bin/bash - VENV = venv-hnx PYTHON3 = python3 +############# Manage Environments ############# -## Lint +## Environment using Pip +.PHONY: venv +venv: clean-venv + @$(PYTHON3) -m venv $(VENV); -.PHONY: lint -lint: pylint flake8 mypy +.PHONY: clean-venv +clean-venv: + rm -rf $(VENV) -.PHONY: pylint -pylint: - @$(PYTHON3) -m pylint --recursive=y --persistent=n --verbose hypernetx +.PHONY: install +install: + @$(PYTHON3) -m pip install --upgrade pip + @$(PYTHON3) -m pip install -e . + @$(PYTHON3) -m pip install -r requirements.txt -.PHONY: mypy -mypy: - @$(PYTHON3) -m mypy hypernetx || true +## Environment using Poetry -.PHONY: flake8 -flake8: - @$(PYTHON3) -m flake8 hypernetx --exit-zero +.PHONY: develop +develop: clean-poetry-env + poetry shell + poetry install --with test -.PHONY: format -format: - @$(PYTHON3) -m black hypernetx +.PHONY: requirements.txt +requirements.txt: + poetry export --format requirements.txt --output requirements.txt --without-hashes --with test,widget,tutorials,docs -## Tests - -.PHONY: pre-commit -pre-commit: - pre-commit install - pre-commit run --all-files +############# Running Tests, linters ############# +## Tests .PHONY: test test: - coverage run --source=hypernetx -m pytest + coverage run --source=hypernetx -m pytest tests coverage report -m -.PHONY: test-ci -test-ci: - @$(PYTHON3) -m tox +.PHONY: test-core +test-core: + coverage run --source=hypernetx/classes -m pytest tests/classes --verbose + coverage report -m -.PHONY: test-ci-stash -test-ci-stash: lint-deps lint pre-commit test-deps test-ci +## Tests using Tox +## Includes linting, running tests on jupyter notebooks +.PHONY: test-tox +test-tox: + @$(PYTHON3) -m tox --parallel -.PHONY: test-ci-github -test-ci-github: lint-deps lint pre-commit ci-github-deps test-deps test-ci +### Tests using Poetry + Tox +### Used by Bamboo CI Pipeline, Github Workflows CI Pipeline +.PHONY: test-ci-stash +test-ci-stash: install-poetry-stash run-poetry-tox clean-poetry-env -## Continuous Deployment -## Assumes that scripts are run on a container or test server VM -### Publish to PyPi +.PHONY: build-docs-stash +build-docs-stash: install-poetry-stash run-build-docs clean-poetry-env -.PHONY: publish-deps -publish-deps: - @$(PYTHON3) -m pip install -e .[packaging] --use-pep517 +.PHONY: install-poetry-stash +install-poetry-stash: + pip install poetry==1.8.2 tox -.PHONY: build-dist -build-dist: publish-deps clean - @$(PYTHON3) -m build --wheel --sdist - @$(PYTHON3) -m twine check dist/* - -## Assumes the following environment variables are set: TWINE_USERNAME, TWINE_PASSWORD, TWINE_REPOSITORY_URL, -## See https://twine.readthedocs.io/en/stable/#environment-variables -.PHONY: publish-to-pypi -publish-to-pypi: publish-deps build-dist - @echo "Publishing to PyPi" - $(PYTHON3) -m twine upload dist/* +.PHONY: run-poetry-tox +run-poetry-tox: + tox --parallel +.PHONY: run-build-docs +run-build-docs: + tox -e build-docs -### Update version +.PHONY: clean-poetry-env +clean-poetry-env: + poetry env remove --all -.PHONY: version-deps -version-deps: - @$(PYTHON3) -m pip install .[releases] --use-pep517 +## Lint +.PHONY: lint +lint: pylint flake8 +.PHONY: pylint +pylint: + @$(PYTHON3) -m pylint --recursive=y --persistent=n --verbose hypernetx -### Documentation +# Todo: fix flake8 errors and remove --exit-zero +.PHONY: flake8 +flake8: + @$(PYTHON3) -m flake8 hypernetx --exit-zero -.PHONY: docs-deps -docs-deps: - @$(PYTHON3) -m pip install .[documentation] --use-pep517 +.PHONY: pre-commit +pre-commit: + pre-commit install + pre-commit run --all-files +############# Packaging and Publishing to PyPi ############# +## Uses Poetry to manage packaging and publishing +## Targets are included as a backup in case the Github Workflows CI can't publish to PyPi and we need to do it manually +## Assumes the following environment variables are set: PYPI_API_TOKEN +.PHONY: publish-to-pypi +publish-to-pypi: build check-long-desc + @echo "Publishing to PyPi" + poetry config pypi-token.pypi PYPI_API_TOKEN + poetry config repositories.pypi https://pypi.org/simple/ + poetry publish --dry-run + #poetry publish -## Tutorials +.PHONY: build +build: clean + poetry build -.PHONY: tutorial-deps -tutorial-deps: - @$(PYTHON3) -m pip install .[tutorials] .[widget] --use-pep517 +.PHONY: check-long-desc +check-long-desc: + poetry run pip install twine + poetry run twine check dist/* +############# Misc ############# .PHONY: tutorials tutorials: jupyter notebook tutorials - -## Environment - -.PHONY: clean-venv -clean-venv: - rm -rf $(VENV) - .PHONY: clean clean: - rm -rf .out .pytest_cache .tox *.egg-info dist build - -.PHONY: venv -venv: clean-venv - @$(PYTHON3) -m venv $(VENV); - -.PHONY: github-ci-deps -ci-github-deps: - @$(PYTHON3) -m pip install 'pytest-github-actions-annotate-failures>=0.1.7' - -.PHONY: lint-deps -lint-deps: - @$(PYTHON3) -m pip install .[lint] --use-pep517 - -.PHONY: format-deps -format-deps: - @$(PYTHON3) -m pip install .[format] --use-pep517 - -.PHONY: test-deps -test-deps: - @$(PYTHON3) -m pip install .[testing] --use-pep517 - -.PHONY: all-deps -all-deps: - @$(PYTHON3) -m pip install .[all] --use-pep517 + rm -rf .out .pytest_cache .tox *.egg-info dist build _build pytest.xml pytest_notebooks.xml .coverage diff --git a/README.md b/README.md index 344a942c..55e60eaf 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ - - HyperNetX ========== + + [![Pytest](https://github.com/pnnl/HyperNetX/actions/workflows/ci.yml/badge.svg)](https://github.com/pnnl/HyperNetX/actions/workflows/ci.yml) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![linting: pylint](https://img.shields.io/badge/linting-pylint-yellowgreen)](https://github.com/PyCQA/pylint) - +[![CITATION.cff](https://github.com/pnnl/HyperNetX/actions/workflows/cff.yml/badge.svg)](https://github.com/pnnl/HyperNetX/actions/workflows/cff.yml) The HyperNetX library provides classes and methods for the analysis and visualization of complex network data modeled as hypergraphs. @@ -28,35 +28,31 @@ Documentation is available at: https://pnnl.github.io/HyperNetX For questions and comments contact the developers directly at: hypernetx@pnnl.gov -New Features in Version 2.0 -=========================== - -HNX 2.0 now accepts metadata as core attributes of the edges and nodes of a -hypergraph. While the library continues to accept lists, dictionaries and -dataframes as basic inputs for hypergraph constructions, both cell -properties and edge and node properties can now be easily added for -retrieval as object attributes. +Summary - Release highlights - HNX 2.3 +-------------------------------------- -The core library has been rebuilt to take advantage of the flexibility and speed of Pandas Dataframes. -Dataframes offer the ability to store and easily access hypergraph metadata. Metadata can be used for filtering objects, and characterize their -distributions by their attributes. +HyperNetX 2.3. is the latest, stable release. The core library has been refactored to take better advantage +of Pandas Dataframes, improve readability and maintainability, address bugs, and make it easier to change. +New features have been added, most notably the ability to add and remove edges, nodes, and incidences. -**Version 2.0 is not backwards compatible. Objects constructed using version -1.x can be imported from their incidence dictionaries.** +**Version 2.3 is not backwards compatible. Objects constructed using earlier versions +can be imported using their incidence dictionaries and/or property datafames.** What's New ----------- -1. The Hypergraph constructor now accepts nested dictionaries with incidence cell properties, pandas.DataFrames, and 2-column Numpy arrays. -1. Additional constructors accept incidence matrices and incidence dataframes. -1. Hypergraph constructors accept cell, edge, and node metadata. -1. Metadata available as attributes on the cells, edges, and nodes. -1. User-defined cell weights and default weights available to incidence matrix. -1. Meta data persists with restrictions and removals. -1. Meta data persists onto s-linegraphs as node attributes of Networkx graphs. -1. New hnxwidget available using `pip install hnxwidget`. +~~~~~~~~~~~~~~~~~~~~~~~~~ +#. Hypergraph now supports adding and removing edges, nodes, and incidences +#. Hypergraph also supports the sum, difference, union, and intersection of a Hypergraph to another Hypergraph +#. New factory methods to support the Hypergraph constructor +#. EntitySet has been replaced by HypergraphView +#. IncidenceStore and PropertyStore are new classes that maintain the structure and attributes of a Hypergraph +#. Hypergraph constructors accept cell, edge, and node metadata. What's Changed +~~~~~~~~~~~~~~~~~~~~~~~~~ +#. HNX now requires Python ^3.10,<=3.12 +#. HNX core libraries have been updated +#. Updated tutorials -------------- 1. The `static` and `dynamic` distinctions no longer exist. All hypergraphs use the same underlying data structure, supported by Pandas dataFrames. All hypergraphs maintain a `state_dict` to avoid repeating computations. 1. Methods for adding nodes and hyperedges are currently not supported. @@ -65,48 +61,48 @@ What's Changed -Tutorials -========= +Tutorials Available for Colab +============================= Google Colab ------------ - + Open In Colab - Tutorial 1 - HNX Basics + Basic 1 - HNX Basics -
+
- + Open In Colab - Tutorial 2 - Visualization Methods + Basic 2 - Visualization Methods -
+
- + Open In Colab - Tutorial 3 - LesMis Case Study + Basic 3 - LesMis Case Study -
+
- + Open In Colab - Tutorial 4 - LesMis Visualizations-Book Tour + Basic 4 - LesMis Visualizations-Book Tour -
+
- + Open In Colab - Tutorial 5 - s-Centrality + Basic 5 - HNX attributed hypergraph -
+
- + Open In Colab - Tutorial 6 - Homology mod2 for TriLoop Example + Basic 6 - Hypergraph Arithmetic.ipynb -
+
Jupyter Notebooks @@ -190,29 +186,71 @@ Ensure that you have [git](https://git-scm.com/book/en/v2/Getting-Started-Instal ```shell git clone https://github.com/pnnl/HyperNetX.git cd HyperNetX + +# Create a virtual environment make venv source venv-hnx/bin/activate -pip install . + +# install required dependencies +make install ``` Development =========== Install an editable version ---------------------------- - ``` pip install -e . ``` -Install an editable version with supported applications -------------------------------------------------------- +Install additional dependencies to support testing and jupyter notebooks: +``` +pip install -r requirements.txt +``` -```shell -pip install -e .['all'] +You can also install all these requirements in one Make target: + +``` +make install +``` + +Poetry +====== + +This library uses [Poetry](https://python-poetry.org/docs/) to manage dependencies and packaging. Poetry can also be +used to manage your environment for development. + +Prerequisites +------------- + +* [Install Poetry](https://python-poetry.org/docs/#installation) + + +Configure Poetry +---------------- -# for zsh users -pip install -e .'[all]' +[Configure your Poetry](https://python-poetry.org/docs/configuration/) to create the virtual environment in your project directory: +``` +poetry config virtualenvs.in-project true + +# check the poetry configuration +poetry config --list +``` + +Set up virtual environment +---------------------------- + +Create and activate a virtual environment. +``` +poetry shell +``` + +NOTE: If you plan to use Poetry to manage your virtual environment, you can activate the virtual environment +using poerty: `poetry shell`. Another option is to directly + +Install required dependencies and HyperNetX in editable mode. +``` +poetry install ``` Install support for testing @@ -221,7 +259,7 @@ Install support for testing > ℹ️ **NOTE:** This project has a pytest configuration file named 'pytest.ini'. By default, pytest will use those configuration settings to run tests. ```shell -make test-deps +poetry install --with test # run tests python -m pytest @@ -237,17 +275,13 @@ open htmlcov/index.html Install support for tutorials ----------------------------- -``` shell -make tutorial-deps +``` +poetry install --with tutorials # open Jupyter notebooks in a browser make tutorials ``` - - - - Code Quality ------------ HyperNetX uses a number of tools to maintain code quality: @@ -257,12 +291,12 @@ HyperNetX uses a number of tools to maintain code quality: Before using these tools, ensure that you install Pylint in your environment: -```shell -make lint-deps +``` +poetry install --with lint ``` - -### Pylint +Pylint +------ [Pylint](https://pylint.pycqa.org/en/latest/index.html) is a static code analyzer for Python-based projects. From the [Pylint docs](https://pylint.pycqa.org/en/latest/index.html#what-is-pylint): @@ -282,37 +316,31 @@ pylint hypernetx --output=pylint-results.txt For more information on configuration, see https://pylint.pycqa.org/en/latest/user_guide/configuration/index.html -### Black - +Black +----- [Black](https://black.readthedocs.io/en/stable/) is a PEP 8 compliant formatter for Python-based project. This tool is highly opinionated about how Python should be formatted and will automagically reformat your code. ```shell -make format-deps black hypernetx ``` Documentation -=============== +------------- -Build and view documentation locally ---------------------------- +Build and view documentation locally: ``` -make docs-deps +poetry install --with docs cd docs make html open docs/build/html/index.html ``` -Editing documentation ----------------------- - When editing documentation, you can auto-rebuild the documentation locally so that you can view your document changes live on the browser without having to rebuild every time you have a change. ``` -make docs-deps cd docs make livehtml ``` @@ -353,7 +381,7 @@ gh run list --workflow=ci.yml --repo pnnl/HyperNetX Versioning ----------- +========== This project uses [`commitizen`](https://github.com/commitizen-tools/commitizen) to manage versioning. The files where "version" will be updated are listed in the '.cz.toml' file. To create a new version and the associated tag, @@ -361,7 +389,7 @@ run the following commands: ```shell # Install commitizen tool to environment -make version-deps +pip install commitizen # Updates version; values for '--increment' can be MAJOR, MINOR, or PATCH # Autocreates a tag and commit for the updated version diff --git a/docs/Makefile b/docs/Makefile index c0117614..bcf2f76b 100644 --- a/docs/Makefile +++ b/docs/Makefile @@ -28,7 +28,7 @@ help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) html: clean - $(SPHINXAPIDOC) -f -o "$(SOURCEDIR)"/classes ../hypernetx/classes + $(SPHINXAPIDOC) --module-first -f -o "$(SOURCEDIR)"/classes ../hypernetx/classes $(SPHINXAPIDOC) -f -o "$(SOURCEDIR)"/algorithms ../hypernetx/algorithms $(SPHINXAPIDOC) -f -o "$(SOURCEDIR)"/drawing ../hypernetx/drawing $(SPHINXAPIDOC) -f -o "$(SOURCEDIR)"/reports ../hypernetx/reports diff --git a/docs/source/classes/classes.rst b/docs/source/classes/classes.rst index f6e8cb3f..95e8fcca 100644 --- a/docs/source/classes/classes.rst +++ b/docs/source/classes/classes.rst @@ -1,21 +1,26 @@ classes package =============== +.. automodule:: classes + :members: + :undoc-members: + :show-inheritance: + Submodules ---------- -classes.entityset module ------------------------- +classes.factory module +---------------------- -.. automodule:: classes.entityset +.. automodule:: classes.factory :members: :undoc-members: :show-inheritance: -classes.helpers module ----------------------- +classes.hyp\_view module +------------------------ -.. automodule:: classes.helpers +.. automodule:: classes.hyp_view :members: :undoc-members: :show-inheritance: @@ -28,10 +33,18 @@ classes.hypergraph module :undoc-members: :show-inheritance: -Module contents ---------------- +classes.incidence\_store module +------------------------------- -.. automodule:: classes +.. automodule:: classes.incidence_store + :members: + :undoc-members: + :show-inheritance: + +classes.property\_store module +------------------------------ + +.. automodule:: classes.property_store :members: :undoc-members: :show-inheritance: diff --git a/docs/source/conf.py b/docs/source/conf.py index 24d8e3f6..e499dd0c 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -19,13 +19,13 @@ import os -__version__ = "2.2.0" +__version__ = "2.3.0" # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. -sys.path.insert(0 , os.path.abspath("../../hypernetx")) +sys.path.insert(0, os.path.abspath("../../hypernetx")) # -- Project information ----------------------------------------------------- @@ -57,7 +57,7 @@ "sphinx.ext.napoleon", "sphinx.ext.todo", "sphinx.ext.viewcode", - 'sphinx_copybutton', + "sphinx_copybutton", ] # Add any paths that contain templates here, relative to this directory. @@ -79,7 +79,7 @@ # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. -language = 'en' +language = "en" # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: @@ -239,8 +239,8 @@ ( master_doc, "HyperNetX.tex", - u"HyperNetX Documentation", - u"Brenda Praggastis, Dustin Arendt", + "HyperNetX Documentation", + "Brenda Praggastis, Dustin Arendt", "manual", ), ] @@ -270,7 +270,7 @@ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). -man_pages = [(master_doc, "hypernetx", u"HyperNetX Documentation", [author], 1)] +man_pages = [(master_doc, "hypernetx", "HyperNetX Documentation", [author], 1)] # If true, show URL addresses after external links. # man_show_urls = False @@ -285,7 +285,7 @@ ( master_doc, "HyperNetX", - u"HyperNetX Documentation", + "HyperNetX Documentation", author, "HyperNetX", "One line description of project.", @@ -377,7 +377,7 @@ # Remove the command prompts such as >>> when copying code snippets from copybutton # see https://sphinx-copybutton.readthedocs.io/en/latest/use.html -copybutton_exclude = '.linenos, .gp' +copybutton_exclude = ".linenos, .gp" # tables and code-blocks are automatically numbered if they have a caption. # See https://www.sphinx-doc.org/en/master/usage/configuration.html#confval-numfig diff --git a/docs/source/glossary.rst b/docs/source/glossary.rst index c927c49b..b690b629 100644 --- a/docs/source/glossary.rst +++ b/docs/source/glossary.rst @@ -1,125 +1,202 @@ .. _glossary: -===================== -Glossary of HNX terms -===================== +=================== +HNX Data Structures +=================== +.. figure:: images/code_structure.png + :width: 300px + :align: right + + Code structure for HNX. -The HNX library centers around the idea of a :term:`hypergraph`. This glossary provides a few key terms and definitions. +The HNX library centers around the idea of a :term:`hypergraph`. +There are many definitions of a *hypergraph*. In HNX a hypergraph +is a tuple of three sets, :math:`H = (V, E, \mathcal{I})`. +- :math:`V`, a set of *nodes* (aka hypernodes, vertices), distinguished by unique identifiers +- :math:`E` a set of *edges* (aka hyperedges), distinguished by unique identifiers +- :math:`\mathcal{I}`, a set of *incidences*, which form a subset of :math:`E \times V`, distinguished by the pairing of unique identifiers of edges in :math:`E` and nodes in :math:`V` -.. glossary:: - :sorted: +The incidences :math:`\mathcal{I}` can be described by a Boolean function, :math:`\mathcal{I}_B : E \times V \rightarrow \{0, 1\}`, indicating whether or not a pair is included in the hypergraph. +In HNX we instantiate :math:`H = (V, E, \mathcal{I})` using three *hypergraph views.* We can visualize this through a high +level diagram of our current code structure shown in Fig. 1. Here we begin with data (e.g., data frame, dictionary, +list of lists, etc.) that is digested via the appropriate factory method to construct property stores for nodes, +edges, and incidences as well as an incidence store that captures the hypergraph structure. +These four objects are then used to create three hypergraph views that the hypergraph object +uses to access and analyze the hypergraph structure and attributes. - .. // scan hypergraph.py - Entity and Entity set - Class in entity.py. - HNX stores many of its data structures inside objects of type Entity. Entities help to insure safe behavior, but their use is primarily technical, not mathematical. +===================== +Glossary of HNX terms +===================== - hypergraph - The term *hypergraph* can have many different meanings. In HNX, it means a tuple (Nodes, Edges, Incidence), where Nodes and Edges are sets, and Incidence is a function that assigns a value of True or False to every pair (n,e) in the Cartesian product Nodes x Edges. We call - - Nodes the set of nodes - - Edges the set of edges - - Incidence the incidence function - *Note* Another term for this type of object is a *multihypergraph*. The ability to work with multihypergraphs efficiently is a distinguishing feature of HNX! +**Note: For all definitions below, assume** :math:`H = (V, E, \mathcal{I})` **is a +hypergraph.** - incidence - A node n is incident to an edge e in a hypergraph (Nodes, Edges, Incidence) if Incidence(n,e) = True. - !!! -- give the line of code that would allow you to evaluate +.. glossary:: + :sorted: - incidence matrix - A rectangular matrix constructed from a hypergraph (Nodes, Edges, Incidence) where the elements of Nodes index the matrix rows, and the elements of Edges index the matrix columns. Entry (n,e) in the incidence matrix is 1 if n and e are incident, and is 0 otherwise. + + PropertyStore + Class in property_store.py. Each of the basic sets in a hypergraph, (Nodes, Edges, Incidences), have metadata stored in a + PropertyStore. By storing the data and metadata in a single place, updates and references have a single source of + truth. - edge nodes (aka edge elements) - The nodes (or elements) of an edge e in a hypergraph (Nodes, Edges, Incidence) are the nodes that are incident to e. + hypergraph + A hypergraph is a tuple of three sets, :math:`H = (V, E, \mathcal{I})`. + + - :math:`V`, a set of *nodes* (aka hypernodes, vertices), distinguished by unique identifiers + - :math:`E` a set of *edges* (aka hyperedges), distinguished by unique identifiers + - :math:`\mathcal{I}`, a set of *incidences*, which form a subset of :math:`E \times V`, distinguished by the pairing of unique identifiers of edges in :math:`E` and nodes in :math:`V` + + multihypergraph + HNX hypergraphs may be multihypergraphs. A multihypergraph is a hypergraph that allows distinct edges to contain the same set of *elements* and distinct nodes to belong to the same set of edges (aka *memberships*). When collapsing a hypergraph, + edges incident with the same set of nodes or nodes incident with the same set of edges are collapsed to single objects. + + IncidenceStore + Class in incidence_store.py holding the set of ordered pairs of Edges and Nodes belonging to the hypergraph. The :term:`elements` and + :term:`memberships` are inferred from the :term:`incidences` held in the IncidenceStore. + + HypergraphView + Class in hyp_view.py tying the properties of hypergraph objects held in the :term:`PropertyStore` class, which holds metadata, with their ids + held in the :term:`IncidenceStore` class, which holds the Hypergraph relationships. + The PropertyStores are unaware of the IncidenceStore and vice versa. + + elements + The elements of an edge is the set of nodes incident to the edge in the Hypergraph. + + memberships + The memberships of a node is the set of edges incident to the node in the Hypergraph. + + incidences + The ordered pairs in :math:`\mathcal{I} \subset E \times V`, which define the relationships in the hypergraph. + The incidences :math:`\mathcal{I}` of a hypergraph provide the minimal amount of data required to instantiate the hypergraph. + The Edges :math:`E` and Nodes :math:`V` of a Hypergraph can be inferred from the pairs :math:`(e,v)` in the Incidences. + + Each incidence uniquely identifies a single edge and node. + Each incidence has metadata assigned to it. Incidences + in a hypergraph are assigned a weight either by default or specified by a user. + If :math:`(e,v) \in \mathcal{I}` then :math:`e` *contains* :math:`v`, :math:`v` is an + :term:`element ` of :math:`e`, and :math:`v` has :term:`membership ` in :math:`e`. + + incidence matrix + A rectangular matrix constructed from a hypergraph, :math:`H = (V, E, \mathcal{I})`. The rows of the matrix are indexed by :math:`V`. + The columns of the matrix are indexed by :math:`E`. An entry in the matrix at + position :math:`(v,e)` for some :math:`v \in V` and :math:`e \in E` is nonzero if and only if :math:`(e,v) \in I`. + A *weighted* incidence matrix uses the incidence weight associated with :math:`(e,v)` for the nonzero entry. An *unweighted* incidence + matrix has the integer :math:`1` in all nonzero entries. + + + edges + hyperedges + A set of objects distinguished by unique identifiers (uids). Each edge has + metadata associated with it. Edges are assigned a weight either by default or + specified by the user. Edges contain nodes. Nodes are :term:`elements` of edges. + + nodes + vertices + hypernodes + A set of objects distinguished by unique identifiers (uids). Each node has + metadata associated with it. Nodes are assigned a weight either by default or + specified by the user. Nodes belong to edges. Nodes have :term:`memberships` in edges. subhypergraph - A subhypergraph of a hypergraph (Nodes, Edges, Incidence) is a hypergraph (Nodes', Edges', Incidence') such that Nodes' is a subset of Nodes, Edges' is a subset of Edges, and every incident pair (n,e) in (Nodes', Edges', Incidence') is also incident in (Nodes, Edges, Incidence) - - subhypergraph induced by a set of nodes - An induced subhypergraph of a hypergraph (Nodes, Edges, Incidence) is a subhypergraph (Nodes', Edges', Incidence') where a pair (n,e) is incident if and only if it is incident in (Nodes, Edges, Incidence) + A subhypergraph of a hypergraph, :math:`H = (V, E, \mathcal{I})`, is a hypergraph, :math:`H' = (V', E', \mathcal{I'})` such that :math:`(e',v') \in \mathcal{I'}` if and only if :math:`e' \in E' \subset E`, :math:`v' \in V' \subset V` and :math:`(e,v) \in \mathcal{I}`. degree - Given a hypergraph (Nodes, Edges, Incidence), the degree of a node in Nodes is the number of edges in Edges to which the node is incident. + Given a hypergraph :math:`H = (V, E, \mathcal{I})`, the degree of a node in :math:`V` is the number of edges in :math:`E` to which the node is incident. See also: :term:`s-degree` dual - The dual of a hypergraph (Nodes, Edges, Incidence) switches the roles of Nodes and Edges. More precisely, it is the hypergraph (Edges, Nodes, Incidence'), where Incidence' is the function that assigns Incidence(n,e) to each pair (e,n). The :term:`incidence matrix` of the dual hypergraph is the transpose of the incidence matrix of (Nodes, Edges, Incidence). + The dual of a hypergraph exchanges the roles of the edges and nodes in the hypergraph. + For a hypergraph :math:`H = (V, E, \mathcal{I})` the dual is + :math:`H_D = (E, V, \mathcal{I}^T)` where the ordered pairs in :math:`\mathcal{I}^T` are the transposes of the ordered pairs in :math:`\mathcal{I}`. The :term:`incidence matrix` of :math:`H_D` is the transpose of the incidence matrix of :math:`H`. toplex - A toplex in a hypergraph (Nodes, Edges, Incidence ) is an edge e whose node set isn't properly contained in the node set of any other edge. That is, if f is another edge and ever node incident to e is also incident to f, then the node sets of e and f are identical. + A toplex in a hypergraph, :math:`H = (V, E, \mathcal{I})`, is an edge :math:`e \in E` whose set of elements is not properly contained in any other edge in :math:`E`. That is, if :math:`f \in E` and the elements of :math:`e` are all elements of :math:`f` then the elements of :math:`f` are all elements of :math:`e`. simple hypergraph A hypergraph for which no edge is completely contained in another. -------------- -S-line graphs -------------- + s-adjacent + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, + two nodes in :math:`V` are s-adjacent if there are at least s edges in :math:`E`, which contain both of them. -HNX offers a variety of tool sets for network analysis, including s-line graphs. + s-edge-adjacent + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, + two edges in :math:`E` are s-edge-adjacent if + they there are at least s nodes in :math:`V` belonging to both of them. + Another way of saying this is two edges are s-edge-adjacent if + they are s-adjacent in the dual of :math:`H`. s-adjacency matrix - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, a square matrix where the elements of Nodes index both rows and columns. The matrix can be weighted or unweighted. Entry (i,j) is nonzero if and only if node i and node j are incident to at least s edges in common. If it is nonzero, then it is equal to the number of shared edges (if weighted) or 1 (if unweighted). + For a positive integer s, a square matrix for a hypergraph, :math:`H = (V, E, \mathcal{I})`, indexed by :math:`V` such that an + entry :math:`(v_1,v_2)` is nonzero if only if :math:`v_1, v_2 \in V` are s-adjacent. An s-adjacency matrix can be weighted or unweighted, in which case all entries are 0's and 1's. s-edge-adjacency matrix - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, a square matrix where the elements of Edges index both rows and columns. The matrix can be weighted or unweighted. Entry (i,j) is nonzero if and only if edge i and edge j share to at least s nodes, and is equal to the number of shared nodes (if weighted) or 1 (if unweighted). + An s-edge-adjacency matrix is the s-adjacency matrix for the dual + of :math:`H`. s-auxiliary matrix - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, the submatrix of the :term:`s-edge-adjacency matrix ` obtained by restricting to rows and columns corresponding to edges of size at least s. + s-edge-auxiliary matrix + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, the submatrix of the :term:`s-adjacency matrix` or the :term:`s-edge-adjacency matrix` obtained by removing all 0-rows and 0-columns. s-node-walk - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, a sequence of nodes in Nodes such that each successive pair of nodes share at least s edges in Edges. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, a sequence of nodes in :math:`V` such that each successive pair of nodes are s-adjacent. The length of the + s-node-walk is the number of adjacent pairs in the sequence. s-edge-walk - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, a sequence of edges in Edges such that each successive pair of edges intersects in at least s nodes in Nodes. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, a sequence of edges in :math:`E` such that each successive pair of edges are s-edge-adjacent. The length of the + s-edge-walk is the number of adjacent pairs in the sequence. s-walk - Either an s-node-walk or an s-edge-walk. - - s-connected component, s-node-connected component - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, an s-connected component is a :term:`subhypergraph` induced by a subset of Nodes with the property that there exists an s-walk between every pair of nodes in this subset. An s-connected component is the maximal such subset in the sense that it is not properly contained in any other subset satisfying this property. + Either an s-node-walk or an s-edge-walk. The length of the + s-walk is the number of adjacent pairs in the sequence. + s-connected component + s-node-connected component s-edge-connected component - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, an s-edge-connected component is a :term:`subhypergraph` induced by a subset of Edges with the property that there exists an s-edge-walk between every pair of edges in this subset. An s-edge-connected component is the maximal such subset in the sense that it is not properly contained in any other subset satisfying this property. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, an s-connected component is a :term:`subhypergraph` induced by a subset of :math:`V` with the property that there exists an s-walk between every pair of nodes in this subset. + An s-connected component is the maximal such subset in the sense that it is not properly contained in any other subset satisfying this property. - s-connected, s-node-connected - A hypergraph is s-connected if it has one s-connected component. + An s-node-connected component is an s-connected component. An + s-edge-connected component is an s-connected component of the dual + of :math:`H`. + s-connected + s-node-connected s-edge-connected - A hypergraph is s-edge-connected if it has one s-edge-connected component. + A hypergraph is s-connected if it has one s-connected component. + Similarly for s-node-connected and s-edge-connected. + + s-degree + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, the s-degree of a node, :math:`v \in V` is the number of edges in :math:`E` of size at least s to which :math:`v` belongs. See also: :term:`degree` s-distance - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, the s-distances between two nodes in Nodes is the length of the shortest :term:`s-node-walk` between them. If no s-node-walks between the pair of nodes exists, the s-distance between them is infinite. The s-distance - between edges is the length of the shortest :term:`s-edge-walk` between them. If no s-edge-walks between the pair of edges exist, then s-distance between them is infinite. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, the s-distances between two nodes in :math:`V` is the length of the shortest :term:`s-node-walk` between them. + If no s-node-walk between the pair of nodes exists, the s-distance between them is infinite. + + s-edge-distance + The s-edge-distance + between two edges in :math:`E` is the length of the shortest :term:`s-edge-walk` between them. If no s-edge-walk between the pair of edges exists, then s-distance between them is infinite. s-diameter - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, the s-diameter is the maximum s-Distance over all pairs of nodes in Nodes. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, the s-diameter is the maximum s-distance over all pairs of nodes in :math:`V`. - s-degree - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, the s-degree of a node is the number of edges in Edges of size at least s to which node belongs. See also: :term:`degree` s-edge - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, an s-edge is any edge of size at least s. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, an s-edge is any edge :math:`e \in E` of size at least s, where the + size of :math:`e` equals the number of nodes in :math:`V` belonging to :math:`e`. s-linegraph - For a hypergraph (Nodes, Edges, Incidence) and positive integer s, an s-linegraph is a graph representing - the node to node or edge to edge connections according to the *width* s of the connections. - The node s-linegraph is a graph on the set Nodes. Two nodes in Nodes are incident in the node s-linegraph if they - share at lease s incident edges in Edges; that is, there are at least s elements of Edges to which they both belong. - The edge s-linegraph is a graph on the set Edges. Two edges in Edges are incident in the edge s-linegraph if they - share at least s incident nodes in Nodes; that is, the edges intersect in at least s nodes in Nodes. - - .. Bipartite Condition - .. Condition imposed on instances of the class EntitySet. - .. *Entities that are elements of the same EntitySet, may not contain each other as elements.* - .. The elements and children of an EntitySet generate a specific partition for a bipartite graph. - .. The partition is isomorphic to a Hypergraph where the elements correspond to hyperedges and - .. the children correspond to the nodes. EntitySets are the basic objects used to construct dynamic hypergraphs - .. in HNX. See methods :py:meth:`classes.hypergraph.Hypergraph.bipartite` and :py:meth:`classes.hypergraph.Hypergraph.from_bipartite`. + For a hypergraph, :math:`H = (V, E, \mathcal{I})`, and positive integer s, an s-linegraph :math:`G` is a graph representing + the node to node or edge to edge connections defined by the :term:`s-adjacency matrices`. + The node s-linegraph, :math:`G_V` is a graph on the set :math:`V`. Two nodes in :math:`V` are incident in :math:`G_V` if they are :term:`s-adjacent`. + The edge s-linegraph, :math:`G_E` is a graph on the set :math:`E`. Two edges in :math:`E` are incident in :math:`G_E` if they are :term:`s-edge-adjacent`. diff --git a/docs/source/hypconstructors.rst b/docs/source/hypconstructors.rst index 7596fcc7..062e569e 100644 --- a/docs/source/hypconstructors.rst +++ b/docs/source/hypconstructors.rst @@ -9,7 +9,7 @@ An hnx.Hypergraph H = (V,E) references a pair of disjoint sets: V = nodes (vertices) and E = (hyper)edges. HNX allows for multi-edges by distinguishing edges by -their identifiers instead of their contents. For example, if +their unique identifiers instead of their contents. For example, if V = {1,2,3} and E = {e1,e2,e3}, where e1 = {1,2}, e2 = {1,2}, and e3 = {1,2,3}, the edges e1 and e2 contain the same set of nodes and yet @@ -28,6 +28,15 @@ the hypergraph. Cell properties for the incidence pairs can be defined within the setsystem or in a separate pandas.Dataframe or dict. Edge and node properties are defined with a pandas.DataFrame or dict. +A hypergraph is defined by its relationships. While the +nodes and edges are distinct objects with their own properties, it is only +when they are in a relationship (i.e. incidence pair) that nodes and egdges are viewable +within the hypergraph structure. Consequently, hypergraph metrics and combinatorics do not +use "isolated" nodes or "empty" edges. For example, while `node_properties` could +contain any number of node identifiers, only nodes belonging to an edge +in the hypergraph are counted when computing the size and shape of the +hypergraph. + SetSystems ---------- There are five types of setsystems currently accepted by the library. @@ -35,28 +44,39 @@ There are five types of setsystems currently accepted by the library. 1. **iterable of iterables** : Barebones hypergraph, which uses Pandas default indexing to generate hyperedge ids. Elements must be hashable.: :: - >>> H = Hypergraph([{1,2},{1,2},{1,2,3}]) + >>> list_of_lists = [['book','candle','cat'],['book','coffee cup'],['coffee cup','radio']] + >>> H = Hypergraph(list_of_lists) 2. **dictionary of iterables** : The most basic way to express many-to-many relationships providing edge ids. The elements of the iterables must be hashable): :: - >>> H = Hypergraph({'e1':[1,2],'e2':[1,2],'e3':[1,2,3]}) + >>> scenes_dictionary = { + >>> 0: ('FN', 'TH'), + >>> 1: ('TH', 'JV'), + >>> 2: ('BM', 'FN', 'JA'), + >>> 3: ('JV', 'JU', 'CH', 'BM'), + >>> 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'), + >>> 5: ('TH', 'GP'), + >>> 6: ('GP', 'MP'), + >>> 7: ('MA', 'GP'), + >>> 8: ('FN', 'TH')} + >>> H = hnx.Hypergraph(scenes_dictionary) 3. **dictionary of dictionaries** : allows cell properties to be assigned to a specific (edge, node) incidence. This is particularly useful when there are variable length dictionaries assigned to each pair: :: - >>> d = {'e1':{ 1: {'w':0.5, 'name': 'related_to'}, - >>> 2: {'w':0.1, 'name': 'related_to', - >>> 'startdate': '05.13.2020'}}, - >>> 'e2':{ 1: {'w':0.52, 'name': 'owned_by'}, - >>> 2: {'w':0.2}}, - >>> 'e3':{ 1: {'w':0.5, 'name': 'related_to'}, - >>> 2: {'w':0.2, 'name': 'owner_of'}, - >>> 3: {'w':1, 'type': 'relationship'}} - - >>> H = Hypergraph(d, cell_weight_col='w') + >>> nested_dictionary = { + >>> 0: {'FN':{'time':'early', 'weight': 7}, 'TH':{'time':'late'}}, + >>> 1: {'TH':{'subject':'war'}, 'JV':{'observed_by':'someone'}}, + >>> 2: {'BM':{}, 'FN':{}, 'JA':{'role':'policeman'}}, + >>> 3: {'JV':{'was_carrying':'stick'}, 'JU':{}, 'CH':{}, 'BM':{'state':'intoxicated', 'color':'pinkish'}}, + >>> 4: {'JU':{'weight':15}, 'CH':{}, 'BR':{'state':'worried'}, 'CN':{}, 'CC':{}, 'JV':{}, 'BM':{}}, + >>> 5: {'TH':{}, 'GP':{}}, + >>> 6: {'GP':{}, 'MP':{}}, + >>> 7: {'MA':{}, 'GP':{'accompanied_by':'dog', 'weight':15, 'was_singing': 'Frère Jacques'}}} + >>> H = hnx.Hypergraph(nested_dictionary) 4. **pandas.DataFrame** For large datasets and for datasets with cell properties it is most efficient to construct a hypergraph directly from @@ -76,26 +96,29 @@ There are five types of setsystems currently accepted by the library. +-----------+-----------+-----------+-----------------------------------+ | e2 | 1 | 0.52 | {"name":"owned_by"} | +-----------+-----------+-----------+-----------------------------------+ - | e2 | 2 | 0.2 | | - +-----------+-----------+-----------+-----------------------------------+ - | ... | ... | ... | {...} | - +-----------+-----------+-----------+-----------------------------------+ The first row of the dataframe is used to reference each column. :: - >>> H = Hypergraph(df,edge_col="col1",node_col="col2", - >>> cell_weight_col="w",misc_cell_properties="col3") + >>> import pandas as pd + >>> d = {'col1': ['e1', 'e1', 'e2'], + >>> 'col2': [1, 2, 1], + >>> 'w': [0.5, 0.1, 0.52], + >>> 'col3':[{'name': 'related_to'}, {'name': 'related_to', 'startdate':'05.13.2020'}, {'name': 'owned_by'}]} + >>> df = pd.DataFrame(d) + >>> H = hnx.Hypergraph(df, edge_col="col1", node_col="col2", + >>> cell_weight_col="w", misc_cell_properties_col="col3") 5. **numpy.ndarray** For homogeneous datasets given in a *n x 2* ndarray a - pandas dataframe is generated and column names are added from the - edge_col and node_col arguments. Cell properties containing multiple data - types are added with a separate dataframe or dict and passed through the - cell_properties keyword. :: + pandas dataframe is generated. In this case, the constructor will + only accept properties for the edges and nodes using the + edge and node uids listed in the array, although incidence properties can + be added after construction:: - >>> arr = np.array([['e1','1'],['e1','2'], - >>> ['e2','1'],['e2','2'], - >>> ['e3','1'],['e3','2'],['e3','3']]) - >>> H = hnx.Hypergraph(arr, column_names=['col1','col2']) + >>> import numpy as np + >>> np_array = np.array([['A','a'],['A','b'],['A','c'],['B','a'],['B','d'],['C','c'],['C','d']]) + >>> H = hnx.Hypergraph(np_array) + >>> H.incidences[('A','a')].color = 'red' + >>> H.dataframe Edge and Node Properties @@ -105,11 +128,11 @@ keywords: **edge_properties, node_properties, properties**. Properties may be passed as dataframes or dicts. The first column or index of the dataframe or keys of the dict keys correspond to the edge and/or node identifiers. -If properties are specific to an id, they may be stored in a single +If properties are specific to a unique id, they may be stored in a single object and passed to the **properties** keyword. For example: +-----------+-----------+---------------------------------------+ -| id | weight | properties | +| uid | weight | properties | +-----------+-----------+---------------------------------------+ | e1 | 5.0 | {'type':'event'} | +-----------+-----------+---------------------------------------+ @@ -126,34 +149,15 @@ object and passed to the **properties** keyword. For example: A properties dictionary should have the format: :: - dp = {id1 : {prop1:val1, prop2,val2,...}, id2 : ... } - -A properties dataframe may be used for nodes and edges sharing ids -but differing in cell properties by adding a level index using 0 -for edges and 1 for nodes: - -+-----------+-----------+-----------+---------------------------+ -| level | id | weight | properties | -+-----------+-----------+-----------+---------------------------+ -| 0 | e1 | 5.0 | {'type':'event'} | -+-----------+-----------+-----------+---------------------------+ -| 0 | e2 | 0.52 | {"name":"owned_by"} | -+-----------+-----------+-----------+---------------------------+ -| ... | ... | ... | {...} | -+-----------+-----------+-----------+---------------------------+ -| 1 | 1.2 | {'color':'red'} | -+-----------+-----------+-----------+---------------------------+ -| 2 | .003 | {'name':'Fido','color':'brown'} | -+-----------+-----------+-----------+---------------------------+ -| ... | ... | ... | {...} | -+-----------+-----------+-----------+---------------------------+ - + dp = {uid1 : {prop1:val1, prop2,val2,...}, uid2 : ... } Weights ------- The default key for cell and object weights is "weight". The default value -is 1. Weights may be assigned and/or a new default prescribed in the -constructor using **cell_weight_col** and **cell_weights** for incidence pairs, -and using **edge_weight_prop, node_weight_prop, weight_prop, -default_edge_weight,** and **default_node_weight** for node and edge weights. \ No newline at end of file +is 1. Weights may be assigned from a column in the dataframe by specifying the +column and/or a new default in the +constructor using **cell_weight_col** and **default_cell_weight** for incidence pairs, +and using **edge_weight_prop_col, default_edge_weight** for edges, +**node_weight_prop_col, default_node_weight** for nodes, +and **weight_prop_col, default_weight** for a shared property dataframe. diff --git a/docs/source/hypergraph101.rst b/docs/source/hypergraph101.rst index 02f0b5aa..bb79b76e 100644 --- a/docs/source/hypergraph101.rst +++ b/docs/source/hypergraph101.rst @@ -114,7 +114,7 @@ if the vertex :math:`v_i` is in edge :math:`e_j`. - 0 -.. _label3: +.. _f2: .. figure:: images/biblio_hg.png :class: with-border :width: 400 @@ -296,7 +296,7 @@ can also measure the size of the intersection define its **width** :math:`s(W) = \min_{0 \le i \le N} s_i` as the size of the smallest such intersection. When a walk :math:`W` has width :math:`s`, we call it an :math:`s`-walk. It follows that all walks -in a graph are 1-walks with width 1. In Fig. `5 <#swalks>`__ we see two +in a graph are 1-walks with width 1. In :numref:`f5` we see two walks in a hypergraph. While both have length 2 (counting edgewise, and recalling origin zero), the one on the left has width 1, and that on the right width 3. @@ -369,7 +369,7 @@ one is included in the other, or their intersection is included in both. This creates a partial order, establishing a further one-to-one mapping to a variety of lattice structures and dual lattice structures relating how groups of vertices are included in groups of edges, and vice versa. -Fig. refex shows the **concept lattice** [3], perhaps the most important +:numref:`f7` shows the **concept lattice** [3], perhaps the most important of these structures, determined by our example. .. _f7: diff --git a/docs/source/images/code_structure.png b/docs/source/images/code_structure.png new file mode 100644 index 00000000..5ee964c6 Binary files /dev/null and b/docs/source/images/code_structure.png differ diff --git a/docs/source/index.rst b/docs/source/index.rst index a4f74479..df2b8110 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -37,7 +37,12 @@ Our shared values as software developers guide us in our day-to-day interactions Contact us ---------- -Questions and comments are welcome! Contact us at +Questions and comments are welcome! + +Add discussion topics and comments at + https://github.com/pnnl/HyperNetX/discussions + +Contact us directly at hypernetx@pnnl.gov Contents diff --git a/docs/source/install.rst b/docs/source/install.rst index eb59e085..0c857bb0 100644 --- a/docs/source/install.rst +++ b/docs/source/install.rst @@ -2,10 +2,6 @@ Installing HyperNetX ******************** - -Installation -############ - The recommended installation method for most users is to create a virtual environment and install HyperNetX from PyPi. @@ -17,7 +13,7 @@ HyperNetX may be cloned or forked from Github_. Prerequisites ###################### -HyperNetX officially supports Python 3.8, 3.9, 3.10 and 3.11. +HyperNetX officially supports Python 3.10, 3.11, and 3.12. Create a virtual environment @@ -26,7 +22,7 @@ Create a virtual environment Using Anaconda ************************* - >>> conda create -n venv-hnx python=3.8 -y + >>> conda create -n venv-hnx python=3.11 -y >>> conda activate venv-hnx Using venv @@ -56,43 +52,35 @@ To deactivate your environment, use: >>> .\env-hnx\Scripts\deactivate -Installing Hypernetx -#################### +Installation +############ -Regardless of how you install HyperNetX, ensure that your environment is activated and that you are running Python >=3.8. +Regardless of how you install HyperNetX, ensure that your environment is activated and that you are running Python ^3.10,<=3.12. Installing from PyPi -************************* +******************** >>> pip install hypernetx -If you want to use supported applications built upon HyperNetX (e.g. ``hypernetx.algorithms.hypergraph_modularity`` or -``hypernetx.algorithms.contagion``), you can install HyperNetX with those supported applications by using -the following command: - - >>> pip install hypernetx[all] - -If you are using zsh as your shell, use single quotation marks around the square brackets: - - >>> pip install hypernetx'[all]' Installing from Source -************************* +********************** + +The source code provides a Makefile to simplify the installation process. Ensure that you have ``make`` and ``git`` installed. -Ensure that you have ``git`` installed. >>> git clone https://github.com/pnnl/HyperNetX.git >>> cd HyperNetX >>> make venv >>> source venv-hnx/bin/activate - >>> pip install . + >>> make install Post-Installation Actions -########################## +######################### Interact with HyperNetX in a REPL -******************************************** +********************************* Ensure that your environment is activated and that you run ``python`` on your terminal to open a REPL: @@ -100,7 +88,7 @@ Ensure that your environment is activated and that you run ``python`` on your te >>> data = { 0: ('A', 'B'), 1: ('B', 'C'), 2: ('D', 'A', 'E'), 3: ('F', 'G', 'H', 'D') } >>> H = hnx.Hypergraph(data) >>> list(H.nodes) - ['G', 'F', 'D', 'A', 'B', 'H', 'C', 'E'] + ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'] >>> list(H.edges) [0, 1, 2, 3] >>> H.shape @@ -108,7 +96,7 @@ Ensure that your environment is activated and that you run ``python`` on your te Other Actions if installed from source -******************************************** +************************************** If you have installed HyperNetX from source, you can perform additional actions such as viewing the provided Jupyter notebooks or building the documentation locally. @@ -121,7 +109,6 @@ Viewing jupyter notebooks The following command will automatically open the notebooks in a browser. - >>> make tutorial-deps >>> make tutorials @@ -130,9 +117,6 @@ Building documentation The following commands will build and open a local version of the documentation in a browser: - >>> make docs-deps >>> cd docs >>> make html >>> open build/index.html - - diff --git a/docs/source/modularity.rst b/docs/source/modularity.rst index d77f4446..ebf2ec31 100644 --- a/docs/source/modularity.rst +++ b/docs/source/modularity.rst @@ -38,27 +38,27 @@ Modularity Given hypergraph HG and a partition A of its vertices, hypergraph modularity is a measure of the quality of this partition. Random partitions typically yield modularity near zero (it can be negative) while positive modularity is indicative of the presence -of dense communities, or modules. There are several variations for the definition of hypergraph modularity, and the main difference lies in the -weight given to different edges given their size $d$ and purity $c$. Modularity is computed via:: +of dense communities or modules. There are several variations for the definition of hypergraph modularity, and the main difference lies in the +weight given to different edges given their size :math:`d` and purity :math:`c`. Modularity is computed via:: - q = hmod.modularity(HG, A, wdc=hmod.linear) + q = hmod.modularity(HG, A, wdc=hmod.linear) -where the 'wdc' parameter points to a function that controls the weights (details below). +where the `wdc` parameter points to a function that controls the weights (details below). -In a graph, an edge only links 2 nodes, so given partition A, an edge is either within a community (which increases the modularity) -or between communities. With hypergraphs, we consider edges of size $d=2$ or more. Given some vertex partition A and some $d$-edge $e$, let $c$ be the number of nodes -that belong to the most represented part in $e$; if $c > d/2$, we consider this edge to be within the part. -Hyper-parameters $0 \le w(d,c) \le 1$ control the weight +In a graph, an edge only links two nodes; so given partition A, an edge is either within a community (which increases the modularity) +or between communities. With hypergraphs, we consider edges of size :math:`d=2` or more. Given some vertex partition A and some :math:`d`-edge :math:`e`, let :math:`c` be the number of nodes +that belong to the most represented part in :math:`e`; if :math:`c > d/2`, we consider this edge to be within the part. +Hyper-parameters :math:`0 \le w(d,c) \le 1` control the weight given to such edges. Three functions are supplied in this submodule, namely: **linear** - $w(d,c) = c/d$ if $c > d/2$, else $0$. + :math:`w(d,c) = c/d` if :math:`c > d/2`, else :math:`0`. **majority** - $w(d,c) = 1$ if $c > d/2$, else $0$. + :math:`w(d,c) = 1` if :math:`c > d/2`, else :math:`0`. **strict** - $w(d,c) = 1$ iff $c = d$, else $0$. + :math:`w(d,c) = 1` iff :math:`c = d`, else :math:`0`. -The 'linear' function is used by default. Other functions $w(d,c)$ can be supplied as long as $0 \le w(d,c) \le 1$ and $w(d,c)=0$ when $c \le d$. +The 'linear' function is used by default. Other functions :math:`w(d,c)` can be supplied as long as :math:`0 \le w(d,c) \le 1` and :math:`w(d,c)=0` when :math:`c \le d`. More details can be found in [2]. Two-section graph diff --git a/docs/source/overview/index.rst b/docs/source/overview/index.rst index 2c5e4e82..22d1543e 100644 --- a/docs/source/overview/index.rst +++ b/docs/source/overview/index.rst @@ -15,47 +15,47 @@ Overview COLAB Tutorials ================ The following tutorials may be run in your browser using Google Colab. Additional tutorials are -available on `GitHub `_. +available on `GitHub `_. .. raw:: html @@ -99,5 +99,5 @@ HyperNetX is released under the 3-Clause BSD license (see :ref:`license`) :maxdepth: 2 -.. _HyperNetX: https://github.com/pnnl/HyperNetX -.. _HNX: https://github.com/pnnl/HyperNetX +.. _HyperNetX: https://colab.research.google.com/github/pnnl/HyperNetX +.. _HNX: https://colab.research.google.com/github/pnnl/HyperNetX diff --git a/docs/source/publications.rst b/docs/source/publications.rst index ef9ad873..e9eeef2a 100755 --- a/docs/source/publications.rst +++ b/docs/source/publications.rst @@ -4,8 +4,10 @@ Publications ============ +**Praggastis, Brenda; Aksoy, Sinan; Arendt, Dustin; Bonicillo, Mark; Joslyn, Cliff; Purvine, Emilie; Shapiro, Madelyn; Yun, Ji Young: (2024)** +"HyperNetX: A Python package for modeling complex network data as hypergraphs", *Journal of Open Source Software, 9(95), 6016*, https://doi.org/10.21105/joss.06016 -**Joslyn, Cliff A; Aksoy, Sinan; Callahan, Tiffany J; Hunter, LE; Jefferson, Brett; Praggastis, Brenda; Purvine, Emilie AH; Tripodi, Ignacio J: (2021)** `Hypernetwork Science: From Multidimensional Networks to Computational Topology `_, in: `Unifying Themes in Complex systems X: Proc. 10th Int. Conf. Complex Systems*, ed. D. Braha et al., pp. 377-392, Springer, https://doi.org/10.1007/978-3-030-67318-5_25 +**Joslyn, Cliff A; Aksoy, Sinan; Callahan, Tiffany J; Hunter, LE; Jefferson, Brett; Praggastis, Brenda; Purvine, Emilie AH; Tripodi, Ignacio J: (2021)** "Hypernetwork Science: From Multidimensional Networks to Computational Topology", https://doi.org/10.1007/978-3-030-67318-5_25, in: Unifying Themes in Complex systems X: Proc. 10th Int. Conf. Complex Systems*, ed. D. Braha et al., pp. 377-392, Springer, https://doi.org/10.1007/978-3-030-67318-5_25 **Aksoy, Sinan G; Joslyn, Cliff A; Marrero, Carlos O; Praggastis, B; Purvine, Emilie AH: (2020)** "Hypernetwork Science via High-Order Hypergraph Walks" , *EPJ Data Science*, v. **9**:16, @@ -35,3 +37,4 @@ https://ieeexplore.ieee.org/document/9820632 **Liu, Xu T; Firoz, Jesun; Lumsdaine, Andrew; Joslyn, CA; Aksoy, Sinan; Praggastis, Brenda; Gebremedhin, Assefaw: (2021)** "Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs", in: *2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC 2021)*, https://doi.ieeecomputersociety.org/10.1109/HiPC53243.2021.00045 + diff --git a/docs/source/widget.rst b/docs/source/widget.rst index 4d0c2e6f..96cd9f6b 100644 --- a/docs/source/widget.rst +++ b/docs/source/widget.rst @@ -17,7 +17,7 @@ the hypergraph visualization and the nodes & edges panel. You may `demo the widget here `_. The HypernetxWidget is open source and -available on `GitHub `_ It is also `published on PyPi +available on `GitHub `_ It is also `published on PyPI `_ **The HyperNetX widget is currently in beta with limitations on the Jupyter environment in which it may be used. @@ -41,8 +41,8 @@ Specifically, users will need to set the Kernel to use a custom environment. For read and follow this guide: `How to add your Conda environment to your jupyter notebook in just 4 steps `_. -**Do not use python's built-in venv module or virtualenv to create a virtual environment; the widget will not render on -Jupyter notebook.** +**It is highly recommended to use Anaconda to setup your virtual environment. Using python's built-in venv module or +virtualenv to create your virtual environment may result in the widget will not rendering on Jupyter notebook.** Prerequisites ^^^^^^^^^^^^^ diff --git a/hypernetx/__init__.py b/hypernetx/__init__.py index 9ae2127d..228d6f7a 100644 --- a/hypernetx/__init__.py +++ b/hypernetx/__init__.py @@ -11,4 +11,4 @@ from hypernetx.utils import * from hypernetx.utils.toys import * -__version__ = "2.2.0" +__version__ = "2.3.0" diff --git a/hypernetx/algorithms/__init__.py b/hypernetx/algorithms/__init__.py index 21cf1d98..78b30c49 100644 --- a/hypernetx/algorithms/__init__.py +++ b/hypernetx/algorithms/__init__.py @@ -100,7 +100,7 @@ "erdos_renyi_hypergraph", "chung_lu_hypergraph", "dcsbm_hypergraph", - # s_centreality_measures API's + # s_centrality_measures API's "s_betweenness_centrality", "s_harmonic_closeness_centrality", "s_harmonic_centrality", diff --git a/hypernetx/algorithms/contagion.py b/hypernetx/algorithms/contagion.py index 74e628e7..98ad4bd0 100644 --- a/hypernetx/algorithms/contagion.py +++ b/hypernetx/algorithms/contagion.py @@ -70,7 +70,7 @@ def contagion_animation( except ModuleNotFoundError as e: raise Exception( f"If you need to use {__name__}, please install additional packages by running the " - f"following command: pip install .['all']" + f"following command: pip install celluloid" ) from e nodeState = defaultdict(lambda: "S") @@ -308,6 +308,7 @@ def majority_vote(node, status, edge): # Auxiliary functions + # The ListDict class is copied from Joel Miller's Github repository Mathematics-of-Epidemics-on-Networks class _ListDict_(object): r""" @@ -537,7 +538,7 @@ def discrete_SIR( if rho is None: initial_number = 1 else: - initial_number = int(round(H.number_of_nodes() * rho)) + initial_number = int(round(len(H.nodes) * rho)) initial_infecteds = random.sample(list(H.nodes), initial_number) else: # check to make sure that the initially infected nodes are in the hypergraph @@ -567,13 +568,13 @@ def discrete_SIR( I = [len(initial_infecteds)] R = [len(initial_recovereds)] - S = [H.number_of_nodes() - I[-1] - R[-1]] + S = [len(H.nodes) - I[-1] - R[-1]] t = tmin times = [t] newStatus = status.copy() - edge_neighbors = lambda node: H.edges.memberships[node] + edge_neighbors = lambda node: H.nodes.memberships[node] while t < tmax and I[-1] != 0: # Initialize the next step with the same numbers of S, I, and R as the last step before computing the changes @@ -699,7 +700,7 @@ def discrete_SIS( if rho is None: initial_number = 1 else: - initial_number = int(round(H.number_of_nodes() * rho)) + initial_number = int(round(len(H.nodes) * rho)) initial_infecteds = random.sample(list(H.nodes), initial_number) else: # check to make sure that the initially infected nodes are in the hypergraph @@ -717,13 +718,13 @@ def discrete_SIS( transition_events[tmin].append(("I", node, None)) I = [len(initial_infecteds)] - S = [H.number_of_nodes() - I[-1]] + S = [len(H.nodes) - I[-1]] t = tmin times = [t] newStatus = status.copy() - edge_neighbors = lambda node: H.edges.memberships[node] + edge_neighbors = lambda node: H.nodes.memberships[node] while t < tmax and I[-1] != 0: # Initialize the next step with the same numbers of S, I, and R as the last step before computing the changes @@ -843,7 +844,7 @@ def Gillespie_SIR( if rho is None: initial_number = 1 else: - initial_number = int(round(H.number_of_nodes() * rho)) + initial_number = int(round(len(H.nodes) * rho)) initial_infecteds = random.sample(list(H.nodes), initial_number) else: # check to make sure that the initially infected nodes are in the hypergraph @@ -867,9 +868,9 @@ def Gillespie_SIR( I = [len(initial_infecteds)] R = [len(initial_recovereds)] - S = [H.number_of_nodes() - I[-1] - R[-1]] + S = [len(H.nodes) - I[-1] - R[-1]] - edge_neighbors = lambda node: H.edges.memberships[node] + edge_neighbors = lambda node: H.nodes.memberships[node] t = tmin times = [t] @@ -1042,7 +1043,7 @@ def Gillespie_SIS( if rho is None: initial_number = 1 else: - initial_number = int(round(H.number_of_nodes() * rho)) + initial_number = int(round(len(H.nodes) * rho)) initial_infecteds = random.sample(list(H.nodes), initial_number) else: # check to make sure that the initially infected nodes are in the hypergraph @@ -1056,9 +1057,9 @@ def Gillespie_SIS( status[node] = "I" I = [len(initial_infecteds)] - S = [H.number_of_nodes() - I[-1]] + S = [len(H.nodes) - I[-1]] - edge_neighbors = lambda node: H.edges.memberships[node] + edge_neighbors = lambda node: H.nodes.memberships[node] t = tmin times = [t] diff --git a/hypernetx/algorithms/hypergraph_modularity.py b/hypernetx/algorithms/hypergraph_modularity.py index 161661fd..e91f2db3 100644 --- a/hypernetx/algorithms/hypergraph_modularity.py +++ b/hypernetx/algorithms/hypergraph_modularity.py @@ -148,7 +148,7 @@ def modularity(HG, A, wdc=linear): Parameters ---------- - HG : Hypergraph + HG : hnx.Hypergraph The hypergraph with some precomputed attributes via: precompute_attributes(HG) A : list of sets Partition of the vertices in HG @@ -179,7 +179,7 @@ def modularity(HG, A, wdc=linear): EC = sum([wdc(k[1], k[0]) * _ctr[k] for k in _ctr.keys() if k[0] > k[1] / 2]) else: _keys = [(Counter(l).most_common(1)[0][1], len(l)) for l in L] - _vals = list(HG.edge_props["weight"]) ## Thanks Brenda!! + _vals = list(HG.edges.dataframe["weight"]) _df = pd.DataFrame(zip(_keys, _vals), columns=["key", "val"]) _df = _df.groupby(by="key").sum() EC = sum( @@ -214,7 +214,7 @@ def modularity(HG, A, wdc=linear): for c in np.arange(int(np.floor(d / 2 + 1)), d + 1): for Vol in VolA: DT += Cnt * wdc(d, c) * binom.pmf(c, d, Vol) - return (EC - DT) / HG.number_of_edges() + return (EC - DT) / len(HG.edges) else: for d in range(len(Ctr)): Cnt = Ctr[d] @@ -230,7 +230,7 @@ def conductance(H, A): Parameters ---------- - H : Hypergraph + H : hnx.Hypergraph The hypergraph A : set Partition of the vertices in H @@ -265,7 +265,7 @@ def two_section(HG): Parameters ---------- - HG : Hypergraph + HG : hnx.Hypergraph Returns ------- @@ -304,7 +304,7 @@ def kumar(HG, delta=0.01, verbose=False): Parameters ---------- - HG : Hypergraph + HG : hnx.Hypergraph delta : float, optional convergence stopping criterion @@ -338,7 +338,7 @@ def kumar(HG, delta=0.01, verbose=False): reweight = ( sum([1 / (1 + HG.size(e, c)) for c in CH]) * (HG.size(e) + len(CH)) - / HG.number_of_edges() + / len(HG.edges) ) diff = max(diff, 0.5 * abs(edge.weight - reweight)) edge.weight = 0.5 * edge.weight + 0.5 * reweight @@ -397,7 +397,7 @@ def _last_step_weighted(H, A, wdc, delta=0.01, verbose=False): ## ec portion before move _keys = [(Counter(l).most_common(1)[0][1], len(l)) for l in L] - _vals = [H.edge_props["weight"][x] for x in H.nodes[v].memberships] + _vals = [H.edges[x].weight for x in H.nodes[v].memberships] _df = pd.DataFrame(zip(_keys, _vals), columns=["key", "val"]) _df = _df.groupby(by="key").sum() ec = sum( @@ -425,7 +425,7 @@ def _last_step_weighted(H, A, wdc, delta=0.01, verbose=False): L = [[dct_A[i] for i in x] for x in H_id] ## EC _keys = [(Counter(l).most_common(1)[0][1], len(l)) for l in L] - _vals = [H.edge_props["weight"][x] for x in H.nodes[v].memberships] + _vals = [H.edges[x].weight for x in H.nodes[v].memberships] _df = pd.DataFrame(zip(_keys, _vals), columns=["key", "val"]) _df = _df.groupby(by="key").sum() ecp = sum( @@ -569,9 +569,9 @@ def last_step(HG, A, wdc=linear, delta=0.01, verbose=False): Parameters ---------- - HG : Hypergraph + HG : hnx.Hypergraph - L : list of sets + A : list of sets some initial partition of the vertices in HG wdc : func, optional diff --git a/hypernetx/algorithms/s_centrality_measures.py b/hypernetx/algorithms/s_centrality_measures.py index 5722a242..e56f55cd 100644 --- a/hypernetx/algorithms/s_centrality_measures.py +++ b/hypernetx/algorithms/s_centrality_measures.py @@ -151,20 +151,17 @@ def s_closeness_centrality(H, s=1, edges=True, return_singletons=True, source=No in the component minus 1. $V$ = the set of vertices in the linegraph. - $n = |V|$ + $n = \|V\|$ $d$ = shortest path distance .. math:: C(u) = \frac{n - 1}{\sum_{v \neq u \in V} d(v, u)} - Parameters ---------- H : hnx.Hypergraph - s : int, optional - edges : bool, optional Indicates if method should compute edge linegraph (default) or node linegraph. return_singletons : bool, optional @@ -243,7 +240,6 @@ def s_harmonic_centrality( returns the s-harmonic closeness centrality value of the edges, a number between 0 and 1 inclusive. If source=None a dictionary of values for each s-edge in H is returned. If source then a single value is returned. - """ # func = partial(nx.harmonic_centrality) diff --git a/hypernetx/classes/__init__.py b/hypernetx/classes/__init__.py index a04380ff..619c5a71 100644 --- a/hypernetx/classes/__init__.py +++ b/hypernetx/classes/__init__.py @@ -1,4 +1,6 @@ -from hypernetx.classes.entityset import EntitySet -from hypernetx.classes.hypergraph import Hypergraph +from .hypergraph import Hypergraph +from .hyp_view import HypergraphView +from .incidence_store import IncidenceStore +from .property_store import PropertyStore -__all__ = ["EntitySet", "Hypergraph"] +__all__ = ["Hypergraph", "HypergraphView", "IncidenceStore", "PropertyStore"] diff --git a/hypernetx/classes/entityset.py b/hypernetx/classes/entityset.py deleted file mode 100644 index 46c4fc66..00000000 --- a/hypernetx/classes/entityset.py +++ /dev/null @@ -1,2107 +0,0 @@ -from __future__ import annotations - -import copy -import warnings -from ast import literal_eval -from collections import OrderedDict, defaultdict -from collections.abc import Hashable, Mapping, Sequence, Iterable -from typing import Union, TypeVar, Optional, Any -from typing_extensions import Self - -import numpy as np -import pandas as pd -import scipy.sparse as sp - -from hypernetx.classes.helpers import ( - AttrList, - assign_weights, - remove_row_duplicates, -) - -from hypernetx.utils.decorators import warn_to_be_deprecated - -T = TypeVar("T", bound=Union[str, int]) - - -class EntitySet: - """Base class for handling N-dimensional data when building network-like models, - i.e., :class:`Hypergraph` - - Parameters - ---------- - entity : pandas.DataFrame, dict of lists or sets, dict of dicts, list of lists or sets, optional - If a ``DataFrame`` with N columns, - represents N-dimensional entity data (data table). - Otherwise, represents 2-dimensional entity data (system of sets). - data_cols : sequence of ints or strings, default=(0,1) - level1: str or int, default = 0 - level2: str or int, default = 1 - data : numpy.ndarray, optional - 2D M x N ``ndarray`` of ``ints`` (data table); - sparse representation of an N-dimensional incidence tensor with M nonzero cells. - Ignored if `entity` is provided. - static : bool, default=True - If ``True``, entity data may not be altered, - and the :attr:`state_dict <_state_dict>` will never be cleared. - Otherwise, rows may be added to and removed from the data table, - and updates will clear the :attr:`state_dict <_state_dict>`. - labels : collections.OrderedDict of lists, optional - User-specified labels in corresponding order to ``ints`` in `data`. - Ignored if `entity` is provided or `data` is not provided. - uid : hashable, optional - A unique identifier for the object - weight_col: string or int, default="cell_weights" - weights : sequence of float, float, int, str, default=1 - User-specified cell weights corresponding to entity data. - If sequence of ``floats`` and `entity` or `data` defines a data table, - length must equal the number of rows. - If sequence of ``floats`` and `entity` defines a system of sets, - length must equal the total sum of the sizes of all sets. - If ``str`` and `entity` is a ``DataFrame``, - must be the name of a column in `entity`. - Otherwise, weight for all cells is assumed to be 1. - aggregateby : {'sum', 'last', count', 'mean','median', max', 'min', 'first', None}, default="sum" - Name of function to use for aggregating cell weights of duplicate rows when - `entity` or `data` defines a data table. - If None, duplicate rows will be dropped without aggregating cell weights. - Ignored if `entity` defines a system of sets. - properties : pandas.DataFrame or doubly-nested dict, optional - User-specified properties to be assigned to individual items in the data, i.e., - cell entries in a data table; sets or set elements in a system of sets. - See Notes for detailed explanation. - If ``DataFrame``, each row gives - ``[optional item level, item label, optional named properties, - {property name: property value}]`` - (order of columns does not matter; see Notes for an example). - If doubly-nested dict, - ``{item level: {item label: {property name: property value}}}``. - misc_props_col: str, default="properties" - Column names for miscellaneous properties, level index, and item name in - :attr:`properties`; see Notes for explanation. - level_col: str, default="level" - id_col : str, default="id" - cell_properties: sequence of int or str, pandas.DataFrame, or doubly-nested dict, optional - misc_cell_props_col: str, default="cell_properties" - - Notes - ----- - A property is a named attribute assigned to a single item in the data. - - You can pass a **table of properties** to `properties` as a ``DataFrame``: - - +------------+---------+----------------+-------+------------------+ - | Level | ID | [explicit | [...] | misc. properties | - | (optional) | | property type] | | | - +============+=========+================+=======+==================+ - | 0 | level 0 | property value | ... | {property name: | - | | item | | | property value} | - +------------+---------+----------------+-------+------------------+ - | 1 | level 1 | property value | ... | {property name: | - | | item | | | property value} | - +------------+---------+----------------+-------+------------------+ - | ... | ... | ... | ... | ... | - +------------+---------+----------------+-------+------------------+ - | N | level N | property value | ... | {property name: | - | | item | | | property value} | - +------------+---------+----------------+-------+------------------+ - - The Level column is optional. If not provided, properties will be assigned by ID - (i.e., if an ID appears at multiple levels, the same properties will be assigned to - all occurrences). - - The names of the Level (if provided) and ID columns must be specified by `level_col` - and `id_col`. `misc_props_col` can be used to specify the name of the column to be used - for miscellaneous properties; if no column by that name is found, - a new column will be created and populated with empty ``dicts``. - All other columns will be considered explicit property types. - The order of the columns does not matter. - - This method assumes that there are no rows with the same (Level, ID); - if duplicates are found, all but the first occurrence will be dropped. - - """ - - def __init__( - self, - entity: Optional[ - pd.DataFrame - | Mapping[T, Iterable[T]] - | Iterable[Iterable[T]] - | Mapping[T, Mapping[T, Any]] - ] = None, - data_cols: Sequence[T] = (0, 1), - data: Optional[np.ndarray] = None, - static: bool = True, - labels: Optional[OrderedDict[T, Sequence[T]]] = None, - uid: Optional[Hashable] = None, - weight_col: Optional[str | int] = "cell_weights", - weights: Optional[Sequence[float] | float | int | str] = 1, - aggregateby: Optional[str | dict] = "sum", - properties: Optional[pd.DataFrame | dict[int, dict[T, dict[Any, Any]]]] = None, - misc_props_col: Optional[str] = None, - level_col: str = "level", - id_col: str = "id", - cell_properties: Optional[ - Sequence[T] | pd.DataFrame | dict[T, dict[T, dict[Any, Any]]] - ] = None, - misc_cell_props_col: Optional[str] = None, - ): - if misc_props_col or misc_cell_props_col: - warnings.warn( - "misc_props_col and misc_cell_props_col will be deprecated; all public references to these " - "arguments will be removed in a future release.", - DeprecationWarning, - ) - - self._uid = uid - self._static = static - self._state_dict = {} - self._misc_cell_props_col = "cell_properties" - self._misc_props_col = "properties" - - # build initial dataframe - if isinstance(data, np.ndarray) and entity is None: - self._build_dataframe_from_ndarray(data, labels) - else: - self._dataframe = build_dataframe_from_entity(entity, data_cols) - - # assign a new or existing column of the dataframe to hold cell weights - self._dataframe, self._cell_weight_col = assign_weights( - self._dataframe, weights=weights, weight_col=weight_col - ) - - # create data_cols - self._create_data_cols(data_cols) - # each entity data column represents one dimension of the data - # (data updates can only add or remove rows, so this isn't stored in state dict) - self._dimsize = len(self._data_cols) - - # remove any row dupes - # import ipdb; ipdb.set_trace() - self._dataframe, _ = remove_row_duplicates( - self._dataframe, - self._data_cols, - weight_col=self._cell_weight_col, - aggregateby=aggregateby, - ) - - # create properties - self._create_properties(level_col, id_col, properties) - - # create cell properties (From old EntitySet) - self._create_assign_cell_properties(cell_properties) - - def _build_dataframe_from_ndarray( - self, - data: pd.ndarray, - labels: Optional[OrderedDict[T, Sequence[T]]], - ) -> None: - self._state_dict["data"] = data - self._dataframe = pd.DataFrame(data) - - if not isinstance(labels, dict): - raise ValueError( - f"Labels must be of type Dictionary. Labels is of type: {type(labels)}; labels: {labels}" - ) - if len(labels) != len(self._dataframe.columns): - raise ValueError( - f"The length of labels must equal the length of columns in the dataframe. Labels is of length: {len(labels)}; dataframe is of length: {len(self._dataframe.columns)}" - ) - # use dict keys of 'labels' as column names in the DataFrame and store the dict of labels in the state dict - self._dataframe.columns = labels.keys() - self._state_dict["labels"] = labels - - # translate the dataframe - for col in self._dataframe: - self._dataframe[col] = pd.Categorical.from_codes( - self._dataframe[col], categories=labels[col] - ) - - def _create_data_cols(self, data_cols: Sequence[T]) -> None: - """store a list of columns that hold entity data (not properties or weights)""" - # import ipdb; ipdb.set_trace() - self._data_cols = [] - if not self._dataframe.empty: - for col in data_cols: - if isinstance(col, int): - self._data_cols.append(self._dataframe.columns[col]) - else: - self._data_cols.append(col) - - def _create_properties( - self, - level_col: str, - id_col: str, - properties: Optional[pd.DataFrame | dict[int, dict[T, dict[Any, Any]]]], - ) -> None: - item_levels = [ - (level, item) - for level, col in enumerate(self._data_cols) - for item in self.dataframe[col].cat.categories - ] - index = pd.MultiIndex.from_tuples(item_levels, names=[level_col, id_col]) - data = [(i, 1, {}) for i in range(len(index))] - self._properties = pd.DataFrame( - data=data, index=index, columns=["uid", "weight", self._misc_props_col] - ).sort_index() - self.assign_properties(properties) - - def _create_assign_cell_properties( - self, - cell_properties: Optional[ - Sequence[T] | pd.DataFrame | dict[T, dict[T, dict[Any, Any]]] - ], - ): - # if underlying data is 2D (system of sets), create and assign cell properties - if self.dimsize == 2: - self._cell_properties = pd.DataFrame(self._dataframe) - self._cell_properties.set_index(self._data_cols, inplace=True) - # TODO: What about when cell_properties is a Sequence[T]? - if isinstance(cell_properties, (dict, pd.DataFrame)): - self.assign_cell_properties(cell_properties) - else: - self._cell_properties = None - - @property - def cell_properties(self) -> Optional[pd.DataFrame]: - """Properties assigned to cells of the incidence matrix - - Returns - ------- - pandas.DataFrame, optional - Returns None if :attr:`dimsize` < 2 - """ - return self._cell_properties - - @property - def data(self) -> np.ndarray: - """Sparse representation of the data table as an incidence tensor - - This can also be thought of as an encoding of `dataframe`, where items in each column of - the data table are translated to their int position in the `self.labels[column]` list - Returns - ------- - numpy.ndarray - 2D array of ints representing rows of the underlying data table as indices in an incidence tensor - - See Also - -------- - labels, dataframe - - """ - # generate if not already stored in state dict - if "data" not in self._state_dict: - if self.empty: - self._state_dict["data"] = np.zeros((0, 0), dtype=int) - else: - # assumes dtype of data cols is already converted to categorical - # and state dict has been properly cleared after updates - self._state_dict["data"] = ( - self._dataframe[self._data_cols] - .apply(lambda x: x.cat.codes) - .to_numpy() - ) - - return self._state_dict["data"] - - @property - def labels(self) -> dict[str, list]: - """Labels of all items in each column of the underlying data table - - Returns - ------- - dict of lists - dict of {column name: [item labels]} - The order of [item labels] corresponds to the int encoding of each item in `self.data`. - - See Also - -------- - data, dataframe - """ - # generate if not already stored in state dict - if "labels" not in self._state_dict: - # assumes dtype of data cols is already converted to categorical - # and state dict has been properly cleared after updates - self._state_dict["labels"] = { - col: self._dataframe[col].cat.categories.to_list() - for col in self._data_cols - } - - return self._state_dict["labels"] - - @property - def cell_weights(self) -> dict[str, tuple[T]]: - """Cell weights corresponding to each row of the underlying data table - - Returns - ------- - dict of {tuple: int or float} - Keyed by row of data table (as a tuple) - """ - # generate if not already stored in state dict - if "cell_weights" not in self._state_dict: - if self.empty: - self._state_dict["cell_weights"] = {} - else: - self._state_dict["cell_weights"] = self._dataframe.set_index( - self._data_cols - )[self._cell_weight_col].to_dict() - - return self._state_dict["cell_weights"] - - @property - def dimensions(self) -> tuple[int]: - """Dimensions of data i.e., the number of distinct items in each level (column) of the underlying data table - - Returns - ------- - tuple of ints - Length and order corresponds to columns of `self.dataframe` (excluding cell weight column) - """ - # generate if not already stored in state dict - if "dimensions" not in self._state_dict: - if self.empty: - self._state_dict["dimensions"] = tuple() - else: - self._state_dict["dimensions"] = tuple( - self._dataframe[self._data_cols].nunique() - ) - - return self._state_dict["dimensions"] - - @property - def dimsize(self) -> int: - """Number of levels (columns) in the underlying data table - - Returns - ------- - int - Equal to length of `self.dimensions` - """ - return self._dimsize - - @property - def properties(self) -> pd.DataFrame: - """Properties assigned to items in the underlying data table - - Returns - ------- - pandas.DataFrame a dataframe with the following columns: level/(edge|node), uid, weight, properties - """ - - return self._properties - - @property - def uid(self) -> Hashable: - """User-defined unique identifier for the `Entity` - - Returns - ------- - Hashable - """ - return self._uid - - @property - def uidset(self) -> set: - """Labels of all items in level 0 (first column) of the underlying data table - - Returns - ------- - set - - See Also - -------- - children : Labels of all items in level 1 (second column) - uidset_by_level, uidset_by_column : - Labels of all items in any level (column); specified by level index or column name - """ - return self.uidset_by_level(0) - - @property - def children(self) -> set: - """Labels of all items in level 1 (second column) of the underlying data table - - Returns - ------- - set - - See Also - -------- - uidset : Labels of all items in level 0 (first column) - uidset_by_level, uidset_by_column : - Labels of all items in any level (column); specified by level index or column name - """ - return self.uidset_by_level(1) - - def uidset_by_level(self, level: int) -> set: - """Labels of all items in a particular level (column) of the underlying data table - - Parameters - ---------- - level : int - - Returns - ------- - set - - See Also - -------- - uidset : Labels of all items in level 0 (first column) - children : Labels of all items in level 1 (second column) - uidset_by_column : Same functionality, takes the column name instead of level index - """ - if self.is_empty(level): - return set() - col = self._data_cols[level] - return self.uidset_by_column(col) - - def uidset_by_column(self, column: Hashable) -> set: - # TODO: This threw an error when trying it on the harry potter dataset, - # when trying 0, or 1 for column. I'm not sure how this should be used - """Labels of all items in a particular column (level) of the underlying data table - - Parameters - ---------- - column : Hashable - Name of a column in `self.dataframe` - - Returns - ------- - set - - See Also - -------- - uidset : Labels of all items in level 0 (first column) - children : Labels of all items in level 1 (second column) - uidset_by_level : Same functionality, takes the level index instead of column name - """ - # generate if not already stored in state dict - if "uidset" not in self._state_dict: - self._state_dict["uidset"] = {} - if column not in self._state_dict["uidset"]: - self._state_dict["uidset"][column] = set( - self._dataframe[column].dropna().unique() - ) - - return self._state_dict["uidset"][column] - - @property - def elements(self) -> dict[Any, AttrList]: - """System of sets representation of the first two levels (columns) of the underlying data table - - Each item in level 0 (first column) defines a set containing all the level 1 - (second column) items with which it appears in the same row of the underlying - data table - - Returns - ------- - dict of `AttrList` - System of sets representation as dict of {level 0 item : AttrList(level 1 items)} - - See Also - -------- - incidence_dict : same data as dict of list - memberships : - dual of this representation, - i.e., each item in level 1 (second column) defines a set - elements_by_level, elements_by_column : - system of sets representation of any two levels (columns); specified by level index or column name - - """ - if self._dimsize < 2: - return {k: AttrList(entity=self, key=(0, k)) for k in self.uidset} - - return self.elements_by_level(0, 1) - - @property - def incidence_dict(self) -> dict[T, list[T]]: - """System of sets representation of the first two levels (columns) of the underlying data table - - Returns - ------- - dict of list - System of sets representation as dict of {level 0 item : AttrList(level 1 items)} - - See Also - -------- - elements : same data as dict of AttrList - - """ - return {item: elements.data for item, elements in self.elements.items()} - - @property - def memberships(self) -> dict[Any, AttrList]: - """System of sets representation of the first two levels (columns) of the - underlying data table - - Each item in level 1 (second column) defines a set containing all the level 0 - (first column) items with which it appears in the same row of the underlying - data table - - Returns - ------- - dict of `AttrList` - System of sets representation as dict of {level 1 item : AttrList(level 0 items)} - - See Also - -------- - elements : dual of this representation i.e., each item in level 0 (first column) defines a set - elements_by_level, elements_by_column : - system of sets representation of any two levels (columns); specified by level index or column name - - """ - - return self.elements_by_level(1, 0) - - def elements_by_level(self, level1: int, level2: int) -> dict[Any, AttrList]: - """System of sets representation of two levels (columns) of the underlying data table - - Each item in level1 defines a set containing all the level2 items - with which it appears in the same row of the underlying data table - - Properties can be accessed and assigned to items in level1 - - Parameters - ---------- - level1 : int - index of level whose items define sets - level2 : int - index of level whose items are elements in the system of sets - - Returns - ------- - dict of `AttrList` - System of sets representation as dict of {level1 item : AttrList(level2 items)} - - See Also - -------- - elements, memberships : dual system of sets representations of the first two levels (columns) - elements_by_column : same functionality, takes column names instead of level indices - - """ - if len(self._data_cols) == 1: - return self._state_dict["memberships"] - col1 = self._data_cols[level1] - col2 = self._data_cols[level2] - return self.elements_by_column(col1, col2) - - def elements_by_column(self, col1: Hashable, col2: Hashable) -> dict[Any, AttrList]: - """System of sets representation of two columns (levels) of the underlying data table - - Each item in col1 defines a set containing all the col2 items - with which it appears in the same row of the underlying data table - - Properties can be accessed and assigned to items in col1 - - Parameters - ---------- - col1 : Hashable - name of column whose items define sets - col2 : Hashable - name of column whose items are elements in the system of sets - - Returns - ------- - dict of `AttrList` - System of sets representation as dict of {col1 item : AttrList(col2 items)} - - See Also - -------- - elements, memberships : dual system of sets representations of the first two columns (levels) - elements_by_level : same functionality, takes level indices instead of column names - - """ - if "elements" not in self._state_dict: - self._state_dict["elements"] = defaultdict(dict) - if col2 not in self._state_dict["elements"][col1]: - level = self.index(col1) - elements = self._dataframe.groupby(col1)[col2].unique().to_dict() - self._state_dict["elements"][col1][col2] = { - item: AttrList(entity=self, key=(level, item), initlist=elem) - for item, elem in elements.items() - } - - return self._state_dict["elements"][col1][col2] - - @property - def dataframe(self) -> pd.DataFrame: - """The underlying data table stored by the Entity - - Returns - ------- - pandas.DataFrame - """ - return self._dataframe - - @property - @warn_to_be_deprecated - def isstatic(self) -> bool: - """Whether to treat the underlying data as static or not - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - If True, the underlying data may not be altered, and the state_dict will never be cleared - Otherwise, rows may be added to and removed from the data table, and updates will clear the state_dict - - Returns - ------- - bool - """ - - return self._static - - def size(self, level: int = 0) -> int: - """The number of items in a level of the underlying data table - - Equivalent to ``self.dimensions[level]`` - - Parameters - ---------- - level : int, default=0 - - Returns - ------- - int - - See Also - -------- - dimensions - """ - if self.empty: - return 0 - return self.dimensions[level] - - @property - def empty(self) -> bool: - """Whether the underlying data table is empty or not - - Returns - ------- - bool - - See Also - -------- - is_empty : for checking whether a specified level (column) is empty - dimsize : 0 if empty - """ - return self._dimsize == 0 - - def is_empty(self, level: int = 0) -> bool: - """Whether a specified level (column) of the underlying data table is empty or not - - Parameters - ---------- - level: int - the level of a column in the underlying data table - Returns - ------- - bool - - See Also - -------- - empty : for checking whether the underlying data table is empty - size : number of items in a level (columns); 0 if level is empty - """ - return self.empty or self.size(level) == 0 - - def __len__(self): - """Number of items in level 0 (first column) - - Returns - ------- - int - """ - return self.dimensions[0] - - def __contains__(self, item): - """Whether an item is contained within any level of the data - - Parameters - ---------- - item : str - - Returns - ------- - bool - """ - for labels in self.labels.values(): - if item in labels: - return True - return False - - def __getitem__(self, item): - """Access into the system of sets representation of the first two levels (columns) given by `elements` - - Can be used to access and assign properties to an ``item`` in level 0 (first column) - - Parameters - ---------- - item : str - label of an item in level 0 (first column) - - Returns - ------- - AttrList : - list of level 1 items in the set defined by ``item`` - - See Also - -------- - uidset, elements - """ - return self.elements[item] - - def __iter__(self): - """Iterates over items in level 0 (first column) of the underlying data table - - Returns - ------- - Iterator - - See Also - -------- - uidset, elements - """ - return iter(self.elements) - - def __call__(self, label_index=0): - # TODO: (Madelyn) : I don't think this is the intended use of __call__, can we change/deprecate? - """Iterates over items labels in a specified level (column) of the underlying data table - - Parameters - ---------- - label_index : int - level index - - Returns - ------- - Iterator - - See Also - -------- - labels - """ - return iter(self.labels[self._data_cols[label_index]]) - - def index(self, column: str, value: Optional[str] = None) -> int | tuple[int, int]: - """Get level index corresponding to a column and (optionally) the index of a value in that column - - The index of ``value`` is its position in the list given by ``self.labels[column]``, which is used - in the integer encoding of the data table ``self.data`` - - Parameters - ---------- - column: str - name of a column in self.dataframe - value : str, optional - label of an item in the specified column - - Returns - ------- - int or (int, int) - level index corresponding to column, index of value if provided - - See Also - -------- - indices : for finding indices of multiple values in a column - level : same functionality, search for the value without specifying column - """ - if "keyindex" not in self._state_dict: - self._state_dict["keyindex"] = {} - if column not in self._state_dict["keyindex"]: - self._state_dict["keyindex"][column] = self._dataframe[ - self._data_cols - ].columns.get_loc(column) - - if value is None: - return self._state_dict["keyindex"][column] - - if "index" not in self._state_dict: - self._state_dict["index"] = defaultdict(dict) - if value not in self._state_dict["index"][column]: - self._state_dict["index"][column][value] = self._dataframe[ - column - ].cat.categories.get_loc(value) - - return ( - self._state_dict["keyindex"][column], - self._state_dict["index"][column][value], - ) - - @warn_to_be_deprecated - def indices(self, column: str, values: str | Iterable[str]) -> list[int]: - """Get indices of one or more value(s) in a column - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - column : str - values : str or iterable of str - - Returns - ------- - list of int - indices of values - - See Also - -------- - index : for finding level index of a column and index of a single value - """ - if isinstance(values, Hashable): - values = [values] - - if "index" not in self._state_dict: - self._state_dict["index"] = defaultdict(dict) - for v in values: - if v not in self._state_dict["index"][column]: - self._state_dict["index"][column][v] = self._dataframe[ - column - ].cat.categories.get_loc(v) - - return [self._state_dict["index"][column][v] for v in values] - - @warn_to_be_deprecated - def translate(self, level: int, index: int | list[int]) -> str | list[str]: - """Given indices of a level and value(s), return the corresponding value label(s) - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - level : int - the index of the level - index : int or list of int - value index or indices - - Returns - ------- - str or list of str - label(s) corresponding to value index or indices - - See Also - -------- - translate_arr : translate a full row of value indices across all levels (columns) - """ - column = self._data_cols[level] - - if isinstance(index, (int, np.integer)): - return self.labels[column][index] - - return [self.labels[column][i] for i in index] - - @warn_to_be_deprecated - def translate_arr(self, coords: tuple[int, int]) -> list[str]: - """Translate a full encoded row of the data table e.g., a row of ``self.data`` - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - coords : tuple of ints - encoded value indices, with one value index for each level of the data - - Returns - ------- - list of str - full row of translated value labels - """ - assert len(coords) == self._dimsize - translation = [] - for level, index in enumerate(coords): - translation.append(self.translate(level, index)) - - return translation - - @warn_to_be_deprecated - def level( - self, - item: str, - min_level: int = 0, - max_level: Optional[int] = None, - return_index: bool = True, - ) -> int | tuple[int, int] | None: - """First level containing the given item label - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Order of levels corresponds to order of columns in `self.dataframe` - - Parameters - ---------- - item : str - min_level : int, default=0 - minimum inclusive bound on range of levels to search for item - max_level : int, optional - maximum inclusive bound on range of levels to search for item - return_index : bool, default=True - If True, return index of item within the level - - Returns - ------- - int, (int, int), or None - index of first level containing the item, index of item if `return_index=True` - returns None if item is not found - - See Also - -------- - index, indices : for finding level and/or value indices when the column is known - """ - if max_level is None or max_level >= self._dimsize: - max_level = self._dimsize - 1 - - columns = self._data_cols[min_level : max_level + 1] - levels = range(min_level, max_level + 1) - - for col, lev in zip(columns, levels): - if item in self.labels[col]: - if return_index: - return self.index(col, item) - - return lev - - print(f'"{item}" not found.') - return None - - def add(self, *args) -> Self: - """Updates the underlying data table with new entity data from multiple sources - - Parameters - ---------- - *args - variable length argument list of Entity and/or representations of entity data - - Returns - ------- - self : EntitySet - - Warnings - -------- - Adding an element directly to an Entity will not add the - element to any Hypergraphs constructed from that Entity, and will cause an error. Use - :func:`Hypergraph.add_edge ` or - :func:`Hypergraph.add_node_to_edge ` instead. - - See Also - -------- - add_element : update from a single source - Hypergraph.add_edge, Hypergraph.add_node_to_edge : for adding elements to a Hypergraph - - """ - for item in args: - self.add_element(item) - return self - - @warn_to_be_deprecated - def add_elements_from(self, arg_set) -> Self: - """Adds arguments from an iterable to the data table one at a time - - DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - Duplicates `add` - - Parameters - ---------- - arg_set : iterable - list of Entity and/or representations of entity data - - Returns - ------- - self : EntitySet - - """ - for item in arg_set: - self.add_element(item) - return self - - def add_element( - self, - data: pd.DataFrame - | Mapping[T, Iterable[T]] - | Iterable[Iterable[T]] - | Mapping[T, Mapping[T, Any]], - ) -> Self: - """Updates the underlying data table with new entity data - - Supports adding from either an existing EntitySet or a representation of entity - (data table or labeled system of sets are both supported representations) - - Parameters - ---------- - data : `pandas.DataFrame`, dict of lists or sets, lists of lists, or nested dict - - Returns - ------- - self : EntitySet - - Warnings - -------- - Adding an element directly to an Entity will not add the - element to any Hypergraphs constructed from that Entity, and will cause an error. Use - `Hypergraph.add_edge` or `Hypergraph.add_node_to_edge` instead. - - See Also - -------- - add : takes multiple sources of new entity data as variable length argument list - Hypergraph.add_edge, Hypergraph.add_node_to_edge : for adding elements to a Hypergraph - - """ - if isinstance(data, EntitySet): - df = data.dataframe - self.__add_from_dataframe(df) - - if isinstance(data, dict): - df = pd.DataFrame.from_dict(data) - self.__add_from_dataframe(df) - - if isinstance(data, pd.DataFrame): - self.__add_from_dataframe(data) - - return self - - def __add_from_dataframe(self, df: pd.DataFrame) -> None: - """Helper function to append rows to `self.dataframe` - - Parameters - ---------- - df : pd.DataFrame - - """ - if all(col in df for col in self._data_cols): - new_data = pd.concat((self._dataframe, df), ignore_index=True) - new_data[self._cell_weight_col] = new_data[self._cell_weight_col].fillna(1) - - self._dataframe, _ = remove_row_duplicates( - new_data, - self._data_cols, - weights=self._cell_weight_col, - ) - - self._dataframe[self._data_cols] = self._dataframe[self._data_cols].astype( - "category" - ) - - self._state_dict.clear() - - def remove(self, *args: T) -> EntitySet: - """Removes all rows containing specified item(s) from the underlying data table - - Parameters - ---------- - *args - variable length argument list of items which are of type string or int - - Returns - ------- - self : EntitySet - - See Also - -------- - remove_element : remove all rows containing a single specified item - - """ - for item in args: - self.remove_element(item) - return self - - @warn_to_be_deprecated - def remove_elements_from(self, arg_set): - """Removes all rows containing specified item(s) from the underlying data table - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Duplicates `remove` - - Parameters - ---------- - arg_set : iterable - list of item labels - - Returns - ------- - self : EntitySet - - """ - for item in arg_set: - self.remove_element(item) - return self - - def remove_element(self, item: T) -> None: - """Removes all rows containing a specified item from the underlying data table - - Parameters - ---------- - item : Union[str, int] - the label of an edge - - See Also - -------- - remove : same functionality, accepts variable length argument list of item labels - - """ - updated_dataframe = self._dataframe - - for column in self._dataframe: - updated_dataframe = updated_dataframe[updated_dataframe[column] != item] - - self._dataframe, _ = remove_row_duplicates( - updated_dataframe, - self._data_cols, - weights=self._cell_weight_col, - ) - self._dataframe[self._data_cols] = self._dataframe[self._data_cols].astype( - "category" - ) - - self._state_dict.clear() - for col in self._data_cols: - self._dataframe[col] = self._dataframe[col].cat.remove_unused_categories() - - @warn_to_be_deprecated - def encode(self, data: pd.DataFrame) -> np.array: - """ - Encode dataframe to numpy array - - Parameters - ---------- - data : dataframe, dataframe columns must have dtype set to 'category' - - Returns - ------- - numpy.array - - """ - return data.apply(lambda x: x.cat.codes).to_numpy() - - @warn_to_be_deprecated - def incidence_matrix( - self, - level1: int = 0, - level2: int = 1, - weights: bool | dict = False, - aggregateby: str = "count", - ) -> Optional[sp.csr_matrix]: - """Incidence matrix representation for two levels (columns) of the underlying data table - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - If `level1` and `level2` contain N and M distinct items, respectively, the incidence matrix will be M x N. - In other words, the items in `level1` and `level2` correspond to the columns and rows of the incidence matrix, - respectively, in the order in which they appear in `self.labels[column1]` and `self.labels[column2]` - (`column1` and `column2` are the column labels of `level1` and `level2`) - - Parameters - ---------- - level1 : int, default=0 - index of first level (column) - level2 : int, default=1 - index of second level - weights : bool or dict, default=False - If False all nonzero entries are 1. - If True all nonzero entries are filled by self.cell_weight - dictionary values, use :code:`aggregateby` to specify how duplicate - entries should have weights aggregated. - If dict of {(level1 item, level2 item): weight value} form; - only nonzero cells in the incidence matrix will be updated by dictionary, - i.e., `level1 item` and `level2 item` must appear in the same row at least once in the underlying data table - aggregateby : {'last', count', 'sum', 'mean','median', max', 'min', 'first', 'last', None}, default='count' - Method to aggregate weights of duplicate rows in data table. - If None, then all cell weights will be set to 1. - - Returns - ------- - scipy.sparse.csr.csr_matrix - sparse representation of incidence matrix (i.e. Compressed Sparse Row matrix) - - Other Parameters - ---------------- - index : bool, optional - Not used - - Note - ---- - In the context of Hypergraphs, think `level1 = edges, level2 = nodes` - """ - if self.dimsize < 2: - warnings.warn("Incidence matrix requires two levels of data.") - return None - - data_cols = [self._data_cols[level2], self._data_cols[level1]] - weights = self._cell_weight_col if weights else None - - df, weight_col = remove_row_duplicates( - self._dataframe, - data_cols, - weights=weights, - aggregateby=aggregateby, - ) - - return sp.csr_matrix( - (df[weight_col], tuple(df[col].cat.codes for col in data_cols)) - ) - - def _restrict_to_levels( - self, - levels: int | Iterable[int], - weights: bool = False, - aggregateby: Optional[str] = "sum", - **kwargs, - ) -> EntitySet: - """ - - Parameters - ---------- - levels : array-like of int - indices of a subset of levels (columns) of data - weights : bool, default=False - If True, aggregate existing cell weights to get new cell weights - Otherwise, all new cell weights will be 1 - aggregateby : {'sum', 'first', 'last', 'count', 'mean', 'median', 'max', \ - 'min', None}, optional - Method to aggregate weights of duplicate rows in data table - If None or `weights`=False then all new cell weights will be 1 - **kwargs - Extra arguments to `EntitySet` constructor - - Returns - ------- - EntitySet - - Raises - ------ - KeyError - If `levels` contains any invalid values - - See Also - -------- - EntitySet - """ - - levels = np.asarray(levels) - # the following line of code returns an array of boolean values - # numpy compares arrays using element-wise operations, meaning that it will compare the value in each index - # in one array to the corresponding index in the other array and save the result in a numpy array - invalid_levels = (levels < 0) | (levels >= self.dimsize) - if invalid_levels.any(): - raise KeyError(f"Invalid levels: {levels[invalid_levels]}") - - cols = [self._data_cols[lev] for lev in levels] - - if weights: - weights = self._cell_weight_col - cols.append(weights) - kwargs.update(weights=weights) - - properties = self.properties.loc[levels] - properties.index = properties.index.remove_unused_levels() - level_map = {old: new for new, old in enumerate(levels)} - new_levels = properties.index.levels[0].map(level_map) - properties.index = properties.index.set_levels(new_levels, level=0) - level_col, id_col = properties.index.names - - return self.__class__( - entity=self.dataframe[cols], - data_cols=cols, - aggregateby=aggregateby, - properties=properties, - level_col=level_col, - id_col=id_col, - **kwargs, - ) - - @warn_to_be_deprecated - def restrict_to_indices( - self, indices: int | Iterable[int], level: int = 0, **kwargs - ) -> EntitySet: - """Create a new EntitySet by restricting the data table to rows containing specific items in a given level - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - indices : int or iterable of int - indices of item label(s) in `level` to restrict to - level : int, default=0 - level index - **kwargs - Extra arguments to `EntitySet` constructor - - Returns - ------- - EntitySet - """ - column = self._dataframe[self._data_cols[level]] - values = self.translate(level, indices) - entity = self._dataframe.loc[column.isin(values)].copy() - - for col in self._data_cols: - entity[col] = entity[col].cat.remove_unused_categories() - restricted = self.__class__(entity=entity, **kwargs) - - if not self.properties.empty: - prop_idx = [ - (lv, uid) - for lv in range(restricted.dimsize) - for uid in restricted.uidset_by_level(lv) - ] - properties = self.properties.loc[prop_idx] - restricted.assign_properties(properties) - return restricted - - def assign_cell_properties( - self, - cell_props: pd.DataFrame | dict[T, dict[T, dict[Any, Any]]], - misc_col: Optional[str] = None, - replace: bool = False, - ) -> None: - """Assign new properties to cells of the incidence matrix and update - :attr:`properties` - - Parameters - ---------- - cell_props : pandas.DataFrame, dict of iterables, or doubly-nested dict, optional - See documentation of the `cell_properties` parameter in :class:`EntitySet` - misc_col: str, optional - name of column to be used for miscellaneous cell property dicts - replace: bool, default=False - If True, replace existing :attr:`cell_properties` with result; - otherwise update with new values from result - - Raises - ----- - AttributeError - Not supported for :attr:`dimsize`=1 - """ - if self.dimsize < 2: - raise AttributeError( - f"cell properties are not supported for 'dimsize'={self.dimsize}" - ) - - if isinstance(cell_props, pd.DataFrame): - misc_col = misc_col or self._misc_cell_props_col - cell_props = cell_props.rename( - columns={misc_col: self._misc_cell_props_col} - ) - self._cell_properties_from_dataframe(cell_props) - elif isinstance(cell_props, dict): - self._cell_properties_from_dict(cell_props) - - def assign_properties( - self, - props: pd.DataFrame | dict[int, dict[T, dict[Any, Any]]], - misc_col: Optional[str] = None, - level_col=0, - id_col=1, - ) -> None: - """Assign new properties to items in the data table, update :attr:`properties` - - Parameters - ---------- - props : pandas.DataFrame or doubly-nested dict - See documentation of the `properties` parameter in :class:`EntitySet` - level_col, id_col, misc_col : str, optional - column names corresponding to the levels, items, and misc. properties; - if None, default to :attr:`_level_col`, :attr:`_id_col`, :attr:`_misc_props_col`, - respectively. - - See Also - -------- - properties - """ - # mapping from user-specified level, id, misc column names to internal names - # This will fail if there isn't a level column - - if props is None: - return - - if isinstance(props, pd.DataFrame): - # TODO: Fix to check the shape of properties or redo properties format - column_map = { - old: new - for old, new in zip( - (level_col, id_col, misc_col), - (*self.properties.index.names, self._misc_props_col), - ) - if old is not None - } - props = props.rename(columns=column_map) - props = props.rename_axis(index=column_map) - self._properties_from_dataframe(props) - elif isinstance(props, dict): - # Expects nested dictionary with keys corresponding to level and id - self._properties_from_dict(props) - - def _properties_from_dataframe(self, props: pd.DataFrame) -> None: - """Private handler for updating :attr:`properties` from a DataFrame - - Parameters - ---------- - props: pd.Dataframe - - Notes - ----- - For clarity in in-line developer comments: - - idx-level - refers generally to a level of a MultiIndex - level - refers specifically to the idx-level in the MultiIndex of :attr:`properties` - that stores the level/column id for the item - """ - # names of property table idx-levels for level and item id, respectively - # ``item`` used instead of ``id`` to avoid redefining python built-in func `id` - level, item = self.properties.index.names - if props.index.nlevels > 1: # props has MultiIndex - # drop all idx-levels from props other than level and id (if present) - extra_levels = [ - idx_lev for idx_lev in props.index.names if idx_lev not in (level, item) - ] - props = props.reset_index(level=extra_levels) - - try: - # if props index is already in the correct format, - # enforce the correct idx-level ordering - props.index = props.index.reorder_levels((level, item)) - except AttributeError: # props is not in (level, id) MultiIndex format - # if the index matches level or id, drop index to column - if props.index.name in (level, item): - props = props.reset_index() - index_cols = [item] - if level in props: - index_cols.insert(0, level) - try: - props = props.set_index(index_cols, verify_integrity=True) - except ValueError: - warnings.warn( - "duplicate (level, ID) rows will be dropped after first occurrence" - ) - props = props.drop_duplicates(index_cols) - props = props.set_index(index_cols) - - if self._misc_props_col in props: - try: - props[self._misc_props_col] = props[self._misc_props_col].apply( - literal_eval - ) - except ValueError: - pass # data already parsed, no literal eval needed - else: - warnings.warn("parsed property dict column from string literal") - - if props.index.nlevels == 1: - props = props.reindex(self.properties.index, level=1) - - # combine with existing properties - # non-null values in new props override existing value - properties = props.combine_first(self.properties) - # update misc. column to combine existing and new misc. property dicts - # new props override existing value for overlapping misc. property dict keys - properties[self._misc_props_col] = self.properties[ - self._misc_props_col - ].combine( - properties[self._misc_props_col], - lambda x, y: {**(x if pd.notna(x) else {}), **(y if pd.notna(y) else {})}, - fill_value={}, - ) - self._properties = properties.sort_index() - - def _properties_from_dict(self, props: dict[int, dict[T, dict[Any, Any]]]) -> None: - """Private handler for updating :attr:`properties` from a doubly-nested dict - - Parameters - ---------- - props: dict[int, dict[T, dict[Any, Any]]] - """ - # TODO: there may be a more efficient way to convert this to a dataframe instead - # of updating one-by-one via nested loop, but checking whether each prop_name - # belongs in a designated existing column or the misc. property dict column - # makes it more challenging - # For now: only use nested loop update if non-misc. columns currently exist - if len(self.properties.columns) > 1: - for level in props: - for item in props[level]: - for prop_name, prop_val in props[level][item].items(): - self.set_property(item, prop_name, prop_val, level) - else: - item_keys = pd.MultiIndex.from_tuples( - [(level, item) for level in props for item in props[level]], - names=self.properties.index.names, - ) - props_data = [props[level][item] for level, item in item_keys] - props = pd.DataFrame({self._misc_props_col: props_data}, index=item_keys) - self._properties_from_dataframe(props) - - def _property_loc(self, item: T) -> tuple[int, T]: - """Get index in :attr:`properties` of an item of unspecified level - - Parameters - ---------- - item : hashable - name of an item - - Returns - ------- - item_key : tuple of (int, hashable) - ``(level, item)`` - - Raises - ------ - KeyError - If `item` is not in :attr:`properties` - - Warns - ----- - UserWarning - If `item` appears in multiple levels, returns the first (closest to 0) - - """ - try: - item_loc = self.properties.xs(item, level=1, drop_level=False).index - except KeyError as ex: # item not in df - raise KeyError(f"no properties initialized for 'item': {item}") from ex - - try: - item_key = item_loc.item() - except ValueError: - item_loc, _ = item_loc.sortlevel(sort_remaining=False) - item_key = item_loc[0] - warnings.warn(f"item found in multiple levels: {tuple(item_loc)}") - return item_key - - def set_property( - self, - item: T, - prop_name: Any, - prop_val: Any, - level: Optional[int] = None, - ) -> None: - """Set a property of an item - - Parameters - ---------- - item : hashable - name of an item - prop_name : hashable - name of the property to set - prop_val : any - value of the property to set - level : int, optional - level index of the item; - required if `item` is not already in :attr:`properties` - - Raises - ------ - ValueError - If `level` is not provided and `item` is not in :attr:`properties` - - Warns - ----- - UserWarning - If `level` is not provided and `item` appears in multiple levels, - assumes the first (closest to 0) - - See Also - -------- - get_property, get_properties - """ - if level is not None: - item_key = (level, item) - else: - try: - item_key = self._property_loc(item) - except KeyError as ex: - raise ValueError( - "cannot infer 'level' when initializing 'item' properties" - ) from ex - - if prop_name in self.properties: - self._properties.loc[item_key, prop_name] = prop_val - else: - try: - self._properties.loc[item_key, self._misc_props_col].update( - {prop_name: prop_val} - ) - # TODO: Is it possible to ever hit this case given that misc_props_col will always be set in the dataframe? - except KeyError: - self._properties.loc[item_key, :] = { - self._misc_props_col: {prop_name: prop_val} - } - - def get_property(self, item: T, prop_name: Any, level: Optional[int] = None) -> Any: - """Get a property of an item - - Parameters - ---------- - item : hashable - name of an item - prop_name : hashable - name of the property to get - level : int, optional - level index of the item - - Returns - ------- - prop_val : any - value of the property - - None - if property not found - - Raises - ------ - KeyError - if (`level`, `item`) is not in :attr:`properties`, - or if `level` is not provided and `item` is not in :attr:`properties` - - Warns - ----- - UserWarning - If `level` is not provided and `item` appears in multiple levels, - assumes the first (closest to 0) - - See Also - -------- - get_properties, set_property - """ - if level is not None: - item_key = (level, item) - else: - try: - item_key = self._property_loc(item) - except KeyError: - raise KeyError(f"item does not exist: {item}") - - try: - prop_val = self.properties.loc[item_key, prop_name] - except KeyError: - try: - prop_val = self.properties.loc[item_key, self._misc_props_col][ - prop_name - ] - except KeyError: - # prop_name is not a key in the dictionary in the _misc_props_col; - # in other words, property was not found - return None - - return prop_val - - def get_properties(self, item: T, level: Optional[int] = None) -> dict[Any, Any]: - """Get all properties of an item - - Parameters - ---------- - item : hashable - name of an item - level : int, optional - level index of the item - - Returns - ------- - prop_vals : dict - ``{named property: property value, ..., - misc. property column name: {property name: property value}}`` - - Raises - ------ - KeyError - if (`level`, `item`) is not in :attr:`properties`, - or if `level` is not provided and `item` is not in :attr:`properties` - - Warns - ----- - UserWarning - If `level` is not provided and `item` appears in multiple levels, - assumes the first (closest to 0) - - See Also - -------- - get_property, set_property - """ - if level is not None: - item_key = (level, item) - else: - try: - item_key = self._property_loc(item) - except KeyError: - raise - - try: - prop_vals = self.properties.loc[item_key].to_dict() - except KeyError as ex: - raise KeyError( - f"no properties initialized for ('level','item'): {item_key}" - ) from ex - - return prop_vals - - def _cell_properties_from_dataframe(self, cell_props: pd.DataFrame) -> None: - """Private handler for updating :attr:`properties` from a DataFrame - - Parameters - ---------- - cell_props : DataFrame - """ - if cell_props.index.nlevels > 1: - extra_levels = [ - idx_lev - for idx_lev in cell_props.index.names - if idx_lev not in self._data_cols - ] - cell_props = cell_props.reset_index(level=extra_levels) - - misc_col = self._misc_cell_props_col - - try: - cell_props.index = cell_props.index.reorder_levels(self._data_cols) - except AttributeError: - if cell_props.index.name in self._data_cols: - cell_props = cell_props.reset_index() - - try: - cell_props = cell_props.set_index( - self._data_cols, verify_integrity=True - ) - except ValueError: - warnings.warn( - "duplicate cell rows will be dropped after first occurrence" - ) - cell_props = cell_props.drop_duplicates(self._data_cols) - cell_props = cell_props.set_index(self._data_cols) - - if misc_col in cell_props: - try: - cell_props[misc_col] = cell_props[misc_col].apply(literal_eval) - except ValueError: - pass # data already parsed, no literal eval needed - else: - warnings.warn("parsed cell property dict column from string literal") - - cell_properties = cell_props.combine_first(self.cell_properties) - # import ipdb; ipdb.set_trace() - # cell_properties[misc_col] = self.cell_properties[misc_col].combine( - # cell_properties[misc_col], - # lambda x, y: {**(x if pd.notna(x) else {}), **(y if pd.notna(y) else {})}, - # fill_value={}, - # ) - - self._cell_properties = cell_properties.sort_index() - - def _cell_properties_from_dict( - self, cell_props: dict[T, dict[T, dict[Any, Any]]] - ) -> None: - """Private handler for updating :attr:`cell_properties` from a doubly-nested dict - - Parameters - ---------- - cell_props - """ - # TODO: there may be a more efficient way to convert this to a dataframe instead - # of updating one-by-one via nested loop, but checking whether each prop_name - # belongs in a designated existing column or the misc. property dict column - # makes it more challenging. - # For now: only use nested loop update if non-misc. columns currently exist - if len(self.cell_properties.columns) > 1: - for item1 in cell_props: - for item2 in cell_props[item1]: - for prop_name, prop_val in cell_props[item1][item2].items(): - self.set_cell_property(item1, item2, prop_name, prop_val) - else: - cells = pd.MultiIndex.from_tuples( - [(item1, item2) for item1 in cell_props for item2 in cell_props[item1]], - names=self._data_cols, - ) - # This will create a MultiIndex dataframe with exactly one column named from _misc_cell_props_col (default is cell_properties) - props_data = [cell_props[item1][item2] for item1, item2 in cells] - cell_props = pd.DataFrame( - {self._misc_cell_props_col: props_data}, index=cells - ) - self._cell_properties_from_dataframe(cell_props) - - def set_cell_property( - self, item1: T, item2: T, prop_name: Any, prop_val: Any - ) -> None: - """Set a property of a cell i.e., incidence between items of different levels - - Parameters - ---------- - item1 : hashable - name of an item in level 0 - item2 : hashable - name of an item in level 1 - prop_name : hashable - name of the cell property to set - prop_val : any - value of the cell property to set - - See Also - -------- - get_cell_property, get_cell_properties - """ - if item2 not in self.elements[item1]: - return - - if prop_name in self._cell_properties: - self._cell_properties.loc[(item1, item2), prop_name] = prop_val - return - - try: - # assumes that _misc_cell_props already exists in cell_properties - self._cell_properties.loc[(item1, item2), self._misc_cell_props_col].update( - {prop_name: prop_val} - ) - except KeyError: - # creates the _misc_cell_props with a defualt empty dict - self._cell_properties[self._misc_cell_props_col] = [ - {} for _ in range(len(self._cell_properties)) - ] - # insert the property name and value as a dictionary in _misc_cell_props for the target incident pair - self._cell_properties.loc[(item1, item2), self._misc_cell_props_col].update( - {prop_name: prop_val} - ) - - def get_cell_property(self, item1: T, item2: T, prop_name: Any) -> Any: - """Get a property of a cell i.e., incidence between items of different levels - - Parameters - ---------- - item1 : hashable - name of an item in level 0 - item2 : hashable - name of an item in level 1 - prop_name : hashable - name of the cell property to get - - Returns - ------- - prop_val : any - value of the cell property - - None - If prop_name not found - - Raises - ------ - KeyError - If `(item1, item2)` is not in :attr:`cell_properties` - - See Also - -------- - get_cell_properties, set_cell_property - """ - try: - cell_props = self.cell_properties.loc[(item1, item2)] - except KeyError: - raise KeyError( - f"Item not exists. cell_properties: {self.cell_properties}; item1: {item1}, item2: {item2}" - ) - - try: - prop_val = cell_props.loc[prop_name] - except KeyError: - try: - prop_val = cell_props.loc[self._misc_cell_props_col].get(prop_name) - except KeyError: - # prop_name is not a key in the dictionary in the _misc_cell_props_col; - # in other words, property was not found - return None - - return prop_val - - def get_cell_properties(self, item1: T, item2: T) -> Optional[dict[Any, Any]]: - """Get all properties of a cell, i.e., incidence between items of different - levels - - Parameters - ---------- - item1 : hashable - name of an item in level 0 - item2 : hashable - name of an item in level 1 - - Returns - ------- - dict - ``{named cell property: cell property value, ..., misc. cell property column - name: {cell property name: cell property value}}`` - - None - If properties do not exist - - See Also - -------- - get_cell_property, set_cell_property - """ - try: - cell_props = self.cell_properties.loc[(item1, item2)] - except KeyError: - return None - - return cell_props.to_dict() - - @warn_to_be_deprecated - def restrict_to(self, indices: int | Iterable[int], **kwargs) -> EntitySet: - """Alias of :meth:`restrict_to_indices` with default parameter `level`=0 - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - indices : array_like of int - indices of item label(s) in `level` to restrict to - **kwargs - Extra arguments to :class:`EntitySet` constructor - - Returns - ------- - EntitySet - - See Also - -------- - restrict_to_indices - """ - restricted = self.restrict_to_indices( - indices, misc_cell_props_col=self._misc_cell_props_col, **kwargs - ) - if not self.cell_properties.empty: - cell_properties = self.cell_properties.loc[ - list(restricted.uidset) - ].reset_index() - restricted.assign_cell_properties(cell_properties) - return restricted - - @warn_to_be_deprecated - def restrict_to_levels( - self, - levels: int | Iterable[int], - weights: bool = False, - aggregateby: Optional[str] = "sum", - keep_memberships: bool = True, - **kwargs, - ) -> EntitySet: - """Create a new EntitySet by restricting to a subset of levels (columns) in the - underlying data table - - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] - - Parameters - ---------- - levels : array-like of int - indices of a subset of levels (columns) of data - weights : bool, default=False - If True, aggregate existing cell weights to get new cell weights. - Otherwise, all new cell weights will be 1. - aggregateby : {'sum', 'first', 'last', 'count', 'mean', 'median', 'max', 'min', None}, optional - Method to aggregate weights of duplicate rows in data table - If None or `weights`=False then all new cell weights will be 1 - keep_memberships : bool, default=True - Whether to preserve membership information for the discarded level when - the new ``EntitySet`` is restricted to a single level - **kwargs - Extra arguments to :class:`EntitySet` constructor - - Returns - ------- - EntitySet - - Raises - ------ - KeyError - If `levels` contains any invalid values - """ - # check for an empty EntitySet and return a copy - if self.empty: - return copy.deepcopy(self) - - restricted = self._restrict_to_levels( - levels, - weights, - aggregateby, - **kwargs, - ) - - if keep_memberships: - # use original memberships to set memberships for the new EntitySet - # TODO: This assumes levels=[1], add explicit checks for other cases - restricted._state_dict["memberships"] = self.memberships - - return restricted - - def collapse_identical_elements( - self, return_equivalence_classes: bool = False, **kwargs - ) -> EntitySet | tuple[EntitySet, dict[str, list[str]]]: - """Create a new :class:`EntitySet` by collapsing sets with the same set elements - - Each item in level 0 (first column) defines a set containing all the level 1 - (second column) items with which it appears in the same row of the underlying - data table. - - Parameters - ---------- - return_equivalence_classes : bool, default=False - If True, return a dictionary of equivalence classes keyed by new edge names - **kwargs - Extra arguments to :class:`EntitySet` constructor - - Returns - ------- - new_entity : EntitySet - new :class:`EntitySet` with identical sets collapsed; - if all sets are unique, the system of sets will be the same as the original. - equivalence_classes : dict of lists, optional - if `return_equivalence_classes`=True, - ``{collapsed set label: [level 0 item labels]}``. - """ - # group by level 0 (set), aggregate level 1 (set elements) as frozenset - collapse = ( - self._dataframe[self._data_cols] - .groupby(self._data_cols[0], as_index=False, observed=False) - .agg(frozenset) - ) - - # aggregation method to rename equivalence classes as [first item]: [# items] - agg_kwargs = {"name": (self._data_cols[0], lambda x: f"{x.iloc[0]}: {len(x)}")} - if return_equivalence_classes: - # aggregation method to list all items in each equivalence class - agg_kwargs.update(equivalence_class=(self._data_cols[0], list)) - # group by frozenset of level 1 items (set elements), aggregate to get names of - # equivalence classes and (optionally) list of level 0 items (sets) in each - collapse = collapse.groupby(self._data_cols[1], as_index=False).agg( - **agg_kwargs - ) - # convert to nested dict representation of collapsed system of sets - collapse = collapse.set_index("name") - new_entity_dict = collapse[self._data_cols[1]].to_dict() - # construct new EntitySet from system of sets - new_entity = EntitySet(new_entity_dict, **kwargs) - - if return_equivalence_classes: - # lists of equivalent sets, keyed by equivalence class name - equivalence_classes = collapse.equivalence_class.to_dict() - return new_entity, equivalence_classes - return new_entity - - -def build_dataframe_from_entity( - entity: pd.DataFrame - | Mapping[Union[str, int], Iterable[Union[str, int]]] - | Iterable[Iterable[Union[str, int]]] - | Mapping[T, Mapping[T, Mapping[T, Any]]], - data_cols: Sequence[Union[str, int]], -) -> pd.DataFrame: - ##### build dataframe - # entity data is stored in a DataFrame for basic access without the - # need for any label encoding lookups - if isinstance(entity, pd.DataFrame): - return entity.copy() - - # if the entity data is passed as a dict of lists or a list of lists, - # we convert it to a 2-column dataframe by exploding each list to cover - # one row per element for a dict of lists, the first level/column will - # be filled in with dict keys for a list of N lists, 0,1,...,N will be - # used to fill the first level/column - if isinstance(entity, (dict, list)): - # convert dict of lists to 2-column dataframe - entity = pd.Series(entity).explode() - return pd.DataFrame( - {data_cols[0]: entity.index.to_list(), data_cols[1]: entity.values} - ) - - return pd.DataFrame() diff --git a/hypernetx/classes/factory.py b/hypernetx/classes/factory.py new file mode 100644 index 00000000..9f82283d --- /dev/null +++ b/hypernetx/classes/factory.py @@ -0,0 +1,370 @@ +import pandas as pd + +from hypernetx import HyperNetXError + + +def mkdict(x): + # function to create a dictionary from object x if it is not already a dictionary. + import ast, json + + if isinstance(x, dict): + return x + else: + try: + temp = ast.literal_eval(x) + except: + try: + temp = json.loads(x) + except: + temp = {} + if isinstance(temp, dict): + return temp + else: + return {} + + +def create_df( + dfp, + uid_cols=None, + level=0, + use_index=False, + weight_prop=None, + default_weight=1.0, + misc_properties_col=None, + aggregation_methods=None, +): + + if not isinstance(dfp, pd.DataFrame): + raise TypeError("method requires a Pandas DataFrame") + else: + # checks if the use index variable is called. if it is then use the existing indices. if it is not then an index is set based on the uid columns. + if use_index == False: + # if uid cols are specified make those columns the index columns + if uid_cols != None: + # create chk function to check if the column specified is a string. if it is not a string then it assumes it is an integer and grabs that columns name. + chk = lambda c: c if isinstance(c, str) else dfp.columns[c] + # set indices using the column names in uid_cols using the chk function. + dfp = dfp.set_index([chk(c) for c in uid_cols]) + else: # if uid_cols are not specified then assume the first one or two columns (depending on level) are the index columns and set the index. + if level == 2: + dfp = dfp.set_index([dfp.columns[0], dfp.columns[1]]) + else: + dfp = dfp.set_index([dfp.columns[0]]) + + # if the misc prop col is in the column names + if misc_properties_col in dfp.columns: + # rename the misc properties column to the default name if it isn't + if misc_properties_col != "misc_properties": + dfp = dfp.rename(columns={misc_properties_col: "misc_properties"}) + # force misc properties to be a dictionary if it is not. + dfp.misc_properties = dfp.misc_properties.map(mkdict) + else: # if the column is not specified then create the misc properties column of empty dicitonaries. + dfp["misc_properties"] = [{} for row in dfp.index] + + # check if weight property column name was specified. + if weight_prop in dfp.columns: + # if it was specified and it exists then rename to default weight name and fill in the NA weights with the default. + dfp = dfp.rename(columns={weight_prop: "weight"}) + dfp = dfp.fillna({"weight": default_weight}) + # if weight column is not None and the weight column name was not in the column names then check in the misc properties. + elif weight_prop is not None: + + def grabweight(cell): + # function to grab weights from the misc properties column. + if isinstance(cell, dict): + return cell.get(weight_prop, default_weight) + else: + return default_weight + + # set the weight column to the weights grabbed from the misc properties dictionary (if any). + dfp["weight"] = dfp["misc_properties"].map(grabweight) + + # reorder columns in standard order + cols = [c for c in dfp.columns if c not in ["weight", "misc_properties"]] + dfp = dfp[["weight"] + cols + ["misc_properties"]] + + # remove duplicate indices and aggregate using aggregation methods specified. + dfp = dfp[~dfp.index.duplicated(keep="first")] + + # rename index columns if necessary + if level == 0 or level == 1: + # rename index column to 'uid' + dfp.index.names = ["uid"] + elif level == 2: + # rename index columns to 'edges' and 'nodes' + dfp.index.names = ["edges", "nodes"] + + return dfp + + +def dataframe_factory_method( + DF, + level, + use_indices=False, + uid_cols=None, + misc_properties_col="misc_properties", + weight_col="weight", + default_weight=1.0, + aggregate_by={}, +): + """ + This function creates a pandas dataframe in the correct format given a + pandas dataframe of either cell, node, or edge properties. + + Parameters + ---------- + + DF : dataframe + dataframe of properties for either incidences, edges, or nodes + + level : int + Level to specify the type of data the dataframe is for: 0 for edges, 1 for nodes, and 2 for incidences (cells). + + uid_cols : list of str or int + column index (or name) in pandas.dataframe + used for (hyper)edge, node, or incidence (edge, node) IDs. + + + misc_properties_col : (optional) int | str, default = None + Column of property dataframes with dtype=dict. Intended for variable + length property dictionaries for the objects. + + weight_col : (optional) str, default = None, + Name of property in edge_properties to use for weight. + + default_weight : (optional) int | float, default = 1 + Used when edge weight property is missing or undefined. + + aggregate_by : (optional) dict, default = {} + By default duplicate incidences will be dropped unless + specified with `aggregation_methods`. + See pandas.DataFrame.agg() methods for additional syntax and usage + information. An example aggregation method is {'weight': 'sum'} to sum + the weights of the aggregated duplicate rows. + + Returns + ------- + Pandas Dataframe of the property store in the correct format for HNX. + + """ + + if DF is None: # if no properties are provided for that property type. + PS = None + + else: + PS = create_df( + DF, + uid_cols=uid_cols, + level=level, + use_index=use_indices, + weight_prop=weight_col, + misc_properties_col=misc_properties_col, + default_weight=default_weight, + aggregation_methods=aggregate_by, + ) + + return PS + + +def dict_to_incidence_store_df(D): + L0 = [] # list of keys + L1 = [] # list of the values + for edge in D: + nodes = D[edge] + for node in nodes: + L0.append(edge) + L1.append(node) + return pd.DataFrame( + { + "level_0": L0, + "level_1": L1, + } + ) + + +def dict_factory_method( + D, + level, + use_indices=False, + uid_cols=None, + misc_properties_col="misc_properties", + weight_col="weight", + default_weight=1.0, + aggregate_by={}, +): + ''' + This function creates a pandas dataframe in the correct format given a + dictionary of either cell, node, or edge properties. + + Parameters + ---------- + + D : dictionary + dictionary of properties for either incidences, edges, or nodes + + level : int + Level to specify the type of data the dataframe is for: 0 for edges, 1 for nodes, and 2 for incidences (cells). + + uid_cols : list of str or int + column index (or name) in pandas.dataframe + used for (hyper)edge, node, or incidence (edge, node) IDs. + + misc_properties_col : (optional) int | str, default = None + Column of property dataframes with dtype=dict. Intended for variable + length property dictionaries for the objects. + + weight_col : (optional) str, default = None, + Name of property in edge_properties to use for weight. + + default_weight : (optional) int | float, default = 1 + Used when edge weight property is missing or undefined. + + aggregate_by : (optional) dict, default = {} + By default duplicate incidences will be dropped unless + specified with `aggregation_methods`. + See pandas.DataFrame.agg() methods for additional syntax and usage + information. An example aggregation method is {'weight': 'sum'} to sum + the weights of the aggregated duplicate rows. + + """ + + Returns + ------- + Pandas Dataframe of the property store in the correct format for HNX. + + ''' + + # if no dictionary is provided set it to an empty dictionary. + if D is None: + DF = None + # if the dictionary data provided is for the setsystem (incidence data) + elif level == 2: + # explode list of lists into incidence pairs as a pandas dataframe using pandas series explode. + # DF = pd.DataFrame(pd.Series(D).explode()).reset_index() + DF = dict_to_incidence_store_df(D) + # rename columns to correct column names for edges and nodes + DF = DF.rename(columns=dict(zip(DF.columns, ["edges", "nodes"]))) + attribute_data = {weight_col: [], misc_properties_col: []} + for _, incidence_pair in DF.iterrows(): + edge, node = incidence_pair + if isinstance(D[edge], dict): + attributes_of_incidence_pair = D[edge][node] + if weight_col in attributes_of_incidence_pair: + weight_val = attributes_of_incidence_pair.pop(weight_col) + attribute_data[weight_col] += [weight_val] + else: + attribute_data[weight_col] += [default_weight] + attribute_data[misc_properties_col] += [attributes_of_incidence_pair] + attribute_df = pd.DataFrame(attribute_data) + DF = pd.concat([DF, attribute_df], axis=1) + + # if the dictionary is for edges or nodes. + elif level == 1 or level == 0: + attribute_data = {weight_col: [], misc_properties_col: []} + for data_uid in D.values(): + if isinstance(data_uid, dict): + attributes_of_uid = data_uid + if weight_col in attributes_of_uid: + weight_val = attributes_of_uid.pop(weight_col) + attribute_data[weight_col] += [weight_val] + else: + attribute_data[weight_col] += [default_weight] + attribute_data[misc_properties_col] += [attributes_of_uid] + + attribute_df = pd.DataFrame(attribute_data) + DF = pd.concat([pd.DataFrame(list(D.keys())), attribute_df], axis=1) + + # get property store from dataframe + PS = dataframe_factory_method( + DF, + level=level, + use_indices=use_indices, + uid_cols=uid_cols, + misc_properties_col=misc_properties_col, + weight_col=weight_col, + default_weight=default_weight, + aggregate_by=aggregate_by, + ) + + return PS + + +def list_factory_method( + L, + level, + use_indices=False, + uid_cols=None, + misc_properties_col="misc_properties", + weight_col="weight", + default_weight=1.0, + aggregate_by={}, +): + ''' + + This function creates a pandas dataframe in the correct format given a + list of lists to be used as the cell property store dataframe. + + Parameters + ---------- + + L : list of lists + list of lists representing the nodes in each hyperedge. + + level : int + Level to specify the type of data the dataframe is for: 0 for edges, 1 for nodes, and 2 for incidences (cells). + + uid_cols : list of str or int + column index (or name) in pandas.dataframe + used for (hyper)edge, node, or incidence (edge, node) IDs. + + misc_properties_col : (optional) int | str, default = None + Column of property dataframes with dtype=dict. Intended for variable + length property dictionaries for the objects. + + weight_col : (optional) str, default = None, + Name of property in edge_properties to use for weight. + + default_weight : (optional) int | float, default = 1 + Used when edge weight property is missing or undefined. + + aggregate_by : (optional) dict, default = {} + By default duplicate incidences will be dropped unless + specified with `aggregation_methods`. + See pandas.DataFrame.agg() methods for additional syntax and usage + information. An example aggregation method is {'weight': 'sum'} to sum + the weights of the aggregated duplicate rows. + + """ + + Returns + ------- + Pandas Dataframe of the property store in the correct format for HNX. + ''' + + if L is None: + PS = None + else: + # explode list of lists into incidence pairs as a pandas dataframe using pandas series explode. + DF = pd.DataFrame(pd.Series(L).explode()).reset_index() + # rename columns to correct column names for edges and nodes + DF = DF.rename(columns=dict(zip(DF.columns, ["edges", "nodes"]))) + # create property store from dataframe. + PS = dataframe_factory_method( + DF, + level=level, + use_indices=use_indices, + uid_cols=uid_cols, + misc_properties_col=misc_properties_col, + weight_col=weight_col, + default_weight=default_weight, + aggregate_by=aggregate_by, + ) + + return PS + + +def ndarray_factory_method(arr, level, *args, **kwargs): + shape = arr.shape + if len(shape) == 2 and shape[1] == 2 and level == 2: + return dataframe_factory_method(pd.DataFrame(arr), 2, *args, **kwargs) + raise HyperNetXError("An ndarray of shape (N,2) can only be used as a setsystem") diff --git a/hypernetx/classes/helpers.py b/hypernetx/classes/helpers.py deleted file mode 100644 index 6edde0e8..00000000 --- a/hypernetx/classes/helpers.py +++ /dev/null @@ -1,303 +0,0 @@ -from __future__ import annotations - -from typing import Any, Optional -import numpy as np -import pandas as pd -from collections import UserList -from collections.abc import Hashable, Iterable -from pandas.api.types import CategoricalDtype -from ast import literal_eval - -from hypernetx.classes.entityset import * - - -class AttrList(UserList): - """Custom list wrapper for integrated property storage in :class:`Entity` - - Parameters - ---------- - entity : hypernetx.EntitySet - key : tuple of (int, str or int) - ``(level, item)`` - initlist : list, optional - list of elements, passed to ``UserList`` constructor - """ - - def __init__( - self, - entity: EntitySet, - key: tuple[int, str | int], - initlist: Optional[list] = None, - ): - self._entity = entity - self._key = key - super().__init__(initlist) - - def __getattr__(self, attr: str) -> Any: - """Get attribute value from properties of :attr:`entity` - - Parameters - ---------- - attr : str - - Returns - ------- - any - attribute value; None if not found - """ - if attr == "uidset": - return frozenset(self.data) - if attr in ["memberships", "elements"]: - return self._entity.__getattribute__(attr).get(self._key[1]) - return self._entity.get_property(self._key[1], attr, self._key[0]) - - def __setattr__(self, attr: str, val: Any) -> None: - """Set attribute value in properties of :attr:`entity` - - Parameters - ---------- - attr : str - val : any - """ - if attr in ["_entity", "_key", "data"]: - object.__setattr__(self, attr, val) - else: - self._entity.set_property(self._key[1], attr, val, level=self._key[0]) - - -def encode(data: pd.DataFrame): - """ - Encode dataframe to numpy array - - Parameters - ---------- - data : dataframe - - Returns - ------- - numpy.array - - """ - encoded_array = data.apply(lambda x: x.cat.codes).to_numpy() - return encoded_array - - -def assign_weights( - df: pd.DataFrame, - weights: list | tuple | np.ndarray | Hashable = 1, - weight_col: Hashable = "cell_weights", -): - """ - Parameters - ---------- - df : pandas.DataFrame - A DataFrame to assign a weight column to - weights : array-like or Hashable, optional - If numpy.ndarray with the same length as df, create a new weight column with - these values. - If Hashable, must be the name of a column of df to assign as the weight column - Otherwise, create a new weight column assigning a weight of 1 to every row - weight_col : Hashable - Name for new column if one is created (not used if the name of an existing - column is passed as weights) - - Returns - ------- - df : pandas.DataFrame - The original DataFrame with a new column added if needed - weight_col : str - Name of the column assigned to hold weights - - Note - ---- - TODO: move logic for default weights inside this method - """ - - if isinstance(weights, (list, np.ndarray)): - df[weight_col] = weights - elif not weight_col in df: - df[weight_col] = weights - # import ipdb; ipdb.set_trace() - return df, weight_col - - -def create_properties( - props: pd.DataFrame - | dict[str | int, Iterable[str | int]] - | dict[str | int, dict[str | int, dict[Any, Any]]] - | None, - index_cols: list[str], - misc_col: str, -) -> pd.DataFrame: - """Helper function for initializing properties and cell properties - - Parameters - ---------- - props : pandas.DataFrame, dict of iterables, doubly-nested dict, or None - See documentation of the `properties` parameter in :class:`Entity`, - `cell_properties` parameter in :class:`EntitySet` - index_cols : list of str - names of columns to be used as levels of the MultiIndex - misc_col : str - name of column to be used for miscellaneous property dicts - - Returns - ------- - pandas.DataFrame - with ``MultiIndex`` on `index_cols`; - each entry of the miscellaneous column holds dict of - ``{property name: property value}`` - """ - - if isinstance(props, pd.DataFrame) and not props.empty: - try: - data = props.set_index(index_cols, verify_integrity=True) - except ValueError: - warnings.warn( - "duplicate (level, ID) rows will be dropped after first occurrence" - ) - props = props.drop_duplicates(index_cols) - data = props.set_index(index_cols) - - if misc_col not in data: - data[misc_col] = [{} for _ in range(len(data))] - try: - data[misc_col] = data[misc_col].apply(literal_eval) - except ValueError: - pass # data already parsed, no literal eval needed - else: - warnings.warn("parsed property dict column from string literal") - - return data.sort_index() - - # build MultiIndex from dict of {level: iterable of items} - try: - item_levels = [(level, item) for level in props for item in props[level]] - index = pd.MultiIndex.from_tuples(item_levels, names=index_cols) - # empty MultiIndex if props is None or other unexpected type - except TypeError: - index = pd.MultiIndex(levels=([], []), codes=([], []), names=index_cols) - - # get inner data from doubly-nested dict of {level: {item: {prop: val}}} - try: - data = [props[level][item] for level, item in index] - # empty prop dict for each (level, ID) if iterable of items is not a dict - except (TypeError, IndexError): - data = [{} for _ in index] - - return pd.DataFrame({misc_col: data}, index=index).sort_index() - - -def remove_row_duplicates( - df, data_cols, weights=1, weight_col="cell_weights", aggregateby=None -): - """ - Removes and aggregates duplicate rows of a DataFrame using groupby - Also sets the dtype of entity data columns to categorical (simplifies encoding, etc.) - - Parameters - ---------- - df : pandas.DataFrame - A DataFrame to remove or aggregate duplicate rows from - data_cols : list - A list of column names in df to perform the groupby on / remove duplicates from - weights : array-like or Hashable, optional - Argument passed to assign_weights - aggregateby : str, optional, default='sum' - A valid aggregation method for pandas groupby - If None, drop duplicates without aggregating weights - - Returns - ------- - df : pandas.DataFrame - The DataFrame with duplicate rows removed or aggregated - weight_col : Hashable - The name of the column holding aggregated weights, or None if aggregateby=None - """ - if df.empty: - return df, None - - df = df.copy() - categories = {} - for col in data_cols: - if df[col].dtype.name == "category": - categories[col] = df[col].cat.categories - df[col] = df[col].astype(categories[col].dtype) - df, weight_col = assign_weights( - df, weights=weights, weight_col=weight_col - ) ### reconcile this with defaults weights. - if not aggregateby: - df = df.drop_duplicates(subset=data_cols) - df[data_cols] = df[data_cols].astype("category") - return df, weight_col - - else: - aggby = {col: "first" for col in df.columns} - if isinstance(aggregateby, str): - aggby[weight_col] = aggregateby - else: - aggby.update(aggregateby) - # import ipdb; ipdb.set_trace(context=8) - df = df.groupby(data_cols, as_index=False, sort=False).agg(aggby) - - # for col in categories: - # df[col] = df[col].astype(CategoricalDtype(categories=categories[col])) - df[data_cols] = df[data_cols].astype("category") - - return df, weight_col - - -# https://stackoverflow.com/a/7205107 -def merge_nested_dicts(a, b, path=None): - "merges b into a" - if path is None: - path = [] - for key in b: - if key in a: - if isinstance(a[key], dict) and isinstance(b[key], dict): - merge_nested_dicts(a[key], b[key], path + [str(key)]) - elif a[key] == b[key]: - pass # same leaf value - else: - warnings.warn( - f'Conflict at {",".join(path + [str(key)])}, keys ignored' - ) - else: - a[key] = b[key] - return a - - -## https://www.geeksforgeeks.org/python-find-depth-of-a-dictionary/ -def dict_depth(dic, level=0): - ### checks if there is a nested dict, quits once level > 2 - if level > 2: - return level - if not isinstance(dic, dict) or not dic: - return level - return min(dict_depth(dic[key], level + 1) for key in dic) - - -def create_dataframe(data: Mapping[str | int, Iterable[str | int]]) -> pd.DataFrame: - """Create a valid pandas Dataframe that can be used for the 'entity' param in EntitySet""" - - validate_mapping_for_dataframe(data) - - # creates a Series of all edge-node pairs (i.e. all the non-zero cells from an incidence matrix) - data_t = pd.Series(data=data).explode() - return pd.DataFrame(data={0: data_t.index.to_list(), 1: data_t.values}) - - -def validate_mapping_for_dataframe( - data: Mapping[str | int, Iterable[str | int]] -) -> None: - if not isinstance(data, Mapping): - raise TypeError("data must be a Mapping type, i.e. dictionary") - key_types = set(type(key) for key in data.keys()) - if key_types != {str} and key_types != {int}: - raise TypeError("keys must be a string or int") - for val in data.values(): - if not isinstance(val, Iterable): - raise TypeError("The value of a key must be an Iterable type, i.e. list") - val_types = set(type(v) for v in val) - if val_types != {str} and val_types != {int}: - raise TypeError("The items in each value must be a string or int") diff --git a/hypernetx/classes/hyp_view.py b/hypernetx/classes/hyp_view.py new file mode 100644 index 00000000..b4ec7a0b --- /dev/null +++ b/hypernetx/classes/hyp_view.py @@ -0,0 +1,376 @@ +# Copyright © 2024 Battelle Memorial Institute +# All rights reserved. +from __future__ import annotations + +import warnings +from copy import deepcopy +from collections import UserList +import pandas as pd + +warnings.filterwarnings("default", category=DeprecationWarning) + +__all__ = ["HypergraphView"] + + +class HypergraphView(object): + """ + Wrapper for Property and Incidence Stores holding structural and + metadata for hypergraph. Provides methods matching EntitySet + methods in previous versions. Only nodes and edges in the Incidence + Store will be seeable in this view. + """ + + def __init__(self, incidence_store, level, property_store=None): + """ + _summary_ + + Parameters + ---------- + incidence_store : IncidenceStore + All incidence pairs stored as a dataframe + level : int + Which type of store: 0 = Edges, 1 = Nodes, 2 = Incidences + property_store : PropertyStore, optional + Properties assigned to object in this view, by default None + """ + self._incidence_store = incidence_store + self._level = level + self._property_store = property_store + + ### incidence store needs index or columns + if level == 0: + self._items = self._incidence_store.edges + elif level == 1: + self._items = self._incidence_store.nodes + elif level == 2: + self._items = self._incidence_store + + @property + def items(self): + """ + If level 0 or 1, the list of edges or nodes, respectively. If level 2, the IncidenceStore + + Returns + ------- + IncidenceStore | array + """ + return set(self._items) + + @property + def level(self): + """ + The type of store: 0 = Edges, 1 = Nodes, 2 = Incidences + + Returns + ------- + int + """ + return self._level + + @property + def incidence_store(self): + """ + IncidenceStore + + Returns + ------- + IncidenceStore + """ + return self._incidence_store + + @property + def property_store(self): + """ + PropertyStore + + Returns + ------- + PropertyStore + """ + return self._property_store + + @property + def default_weight(self): + """ + Default weight for an edge, node, or incidence + + Returns + ------- + int | float + """ + return self._property_store._default_weight + + @property + def to_dataframe(self): + """ + Dataframe of properties (user defined and default) for + all items in the HypergraphView. + Creates a properties dataframe of non-user-defined items with default values. + Combines user-defined and non-user-defined properties into one dataframe. + + Returns + ------- + pd.DataFrame + """ + + df = self.user_defined_properties.copy(deep=True) + + ### deep copy dictionaries in the misc_properties column + temp = [deepcopy(d) for d in df.misc_properties.values] + df.misc_properties = temp + + non_user_defined_items = list( + set(self._items).difference(self.user_defined_properties.index) + ) + + # skip combining df and non_user_defined_items if non_user_defined_items is empty + if not non_user_defined_items: + return df.loc[list(self._items)] + + default_data = self.property_store.default_properties + default_data.update({"misc_properties": [{}]}) + non_user_defined_properties = pd.DataFrame( + index=non_user_defined_items, data=default_data + ) + + return pd.concat([df, non_user_defined_properties]).loc[list(self.items)] + + @property ### will remove this later + def dataframe(self): + """ + All properties for objects in the HypergraphView. Same as to_dataframe. + + Returns + ------- + pd.DataFrame + """ + return self.to_dataframe + + @property + def properties(self): + """ + All properties for objects in the HypergraphView. Same as to_dataframe. + + Returns + ------- + pd.DataFrame + """ + return self.to_dataframe + + @property + def user_defined_properties(self): + """ + User-defined properties. Does not include items in the HypergraphView + that the user has not explicitly defined properties for. + + Returns + ------- + pd.DataFrame + """ + return self._property_store.properties + + @property + def memberships(self): + """ + See :term:`memberships` + + Returns + ------- + dict + """ + if self._level == 1 or self._level == 2: + return self.incidence_store.memberships + else: + return {} + + def is_empty(self): + """ + Returns true if HypergraphView has no edges, nodes, or incidences depending on the level; otherwise, false + + Returns + ------- + bool + """ + return len(self._items) == 0 + + @property + def incidence_dict(self): + """ + incidence dictionary + + Returns + ------- + dict | None + """ + if self._level in [0, 2]: + return self.incidence_store.elements + + @property + def elements(self): + """ + See :term:`elements` + + Returns + ------- + dict + """ + if self._level == 0 or self._level == 2: + return self.incidence_store.elements + else: + return {} + + def __iter__(self): + """ + Defined by level store + iterate over the associated level in the incidence store + """ + return iter(self._items) + + def __len__(self): + """ + Defined by incidence store + """ + return len(self._items) + + def __contains__(self, item): + """ + Defined by incidence store + + Parameters + ---------- + item : _type_ + _description_ + + Returns + ------- + bool + """ + return item in self._items + + def __call__(self): + """ + Returns + ------- + iterator + """ + return iter(self._items) + + def __getitem__(self, uid): + """ + Returns incident objects (neighbors in bipartite graph) + to keyed object as an AttrList. + Returns AttrList associated with item, + attributes/properties may be called + from AttrList + If level 0 - elements, if level 1 - memberships, + if level 2 - TBD - uses getitem from stores and links to props + These calls will go to the neighbors method in the incidence store + + Parameters + ---------- + uid : hashable + unique identifier for object in HypergraphView + + Returns + ------- + AttrList + UserList of incident objects (neighbors in the bipartite graph) + """ + if uid in self._items: + neighbors = self.incidence_store.neighbors(self.level, uid) + return AttrList(uid, self, initlist=neighbors) + + def set_defaults(self, defaults_dict): + """ + Creates or updates default values in PropertyStore associated with this + HypergraphView. Does not overwrite existing user-defined properties + + Parameters + ---------- + defaults_dict : dict + Dictionary of prop_names to their default values + + Returns + ------- + None + """ + self.property_store.set_defaults(defaults_dict) + + +class AttrList(UserList): + """Custom list wrapper for integrating PropertyStore data with + IncidenceStore relationships + + Parameters + ---------- + hypergraph_view : hypernetx.HypergraphView + uid : str | int + + Returns + ------- + AttrList + """ + + def __init__(self, uid, hypergraph_view, initlist=None): + self._hypergraph_view = hypergraph_view + self._uid = uid + if initlist is None: + initlist = hypergraph_view._incidence_store.neighbors(self._level, uid) + super().__init__(initlist) + + def __getattr__(self, attr: str): + """Get attribute value from properties of :attr:`entity` + + Parameters + ---------- + attr : str + + Returns + ------- + any + attribute value; None if not found + """ + if attr == "memberships": + if self._level == 1: + return self.data + else: + return [] + elif attr == "elements": + if self._level == 0: + return self.data + else: + return [] + elif attr == "properties": + return self._hypergraph_view._property_store.get_properties(self._uid) + else: + return self._hypergraph_view._property_store.get_property(self._uid, attr) + + def __setattr__(self, attr, val): + """Set attribute value in properties + + Parameters + ---------- + attr : str + val : any + """ + if attr in ["_hypergraph_view", "_uid", "data"]: + object.__setattr__(self, attr, val) + else: + self._hypergraph_view._property_store.set_property(self._uid, attr, val) + + +def flatten(my_dict): + """Recursive method to flatten dictionary for returning properties as + a dictionary instead of a Series, from [StackOverflow](https://stackoverflow.com/a/71952620) + Redundant keys are kept in the order of hierarchy (first seen kept by default) + + """ + result = {} + for key, value in my_dict.items(): + if isinstance(value, dict): + temp = flatten(value) + temp.update(result) + result = temp + else: + result[key] = value + return result diff --git a/hypernetx/classes/hypergraph.py b/hypernetx/classes/hypergraph.py index 2a965652..e66cfe8c 100644 --- a/hypernetx/classes/hypergraph.py +++ b/hypernetx/classes/hypergraph.py @@ -3,13 +3,8 @@ from __future__ import annotations import warnings - -warnings.filterwarnings("default", category=DeprecationWarning) - -from copy import deepcopy from collections import defaultdict -from collections.abc import Sequence, Iterable -from typing import Optional, Any, TypeVar, Union, Mapping, Hashable +from typing import TypeVar, Union import networkx as nx import numpy as np @@ -17,10 +12,18 @@ from networkx.algorithms import bipartite from scipy.sparse import coo_matrix, csr_matrix -from hypernetx.classes import EntitySet from hypernetx.exception import HyperNetXError -from hypernetx.utils.decorators import warn_nwhy -from hypernetx.classes.helpers import merge_nested_dicts, dict_depth +from hypernetx.classes.factory import ( + dataframe_factory_method, + dict_factory_method, + list_factory_method, + ndarray_factory_method, +) +from hypernetx.classes.incidence_store import IncidenceStore +from hypernetx.classes.property_store import PropertyStore +from hypernetx.classes.hyp_view import HypergraphView + +warnings.filterwarnings("default", category=DeprecationWarning) __all__ = ["Hypergraph"] @@ -32,148 +35,157 @@ class Hypergraph: Parameters ---------- - setsystem : (optional) dict of iterables, dict of dicts,iterable of iterables, - pandas.DataFrame, numpy.ndarray, default = None - See SetSystem above for additional setsystem requirements. - - edge_col : (optional) str | int, default = 0 - column index (or name) in pandas.dataframe or numpy.ndarray, - used for (hyper)edge ids. Will be used to reference edgeids for - all set systems. - - node_col : (optional) str | int, default = 1 - column index (or name) in pandas.dataframe or numpy.ndarray, - used for node ids. Will be used to reference nodeids for all set systems. - - cell_weight_col : (optional) str | int, default = None - column index (or name) in pandas.dataframe or numpy.ndarray used for - referencing cell weights. For a dict of dicts references key in cell - property dicts. - - cell_weights : (optional) Sequence[float,int] | int | float , default = 1.0 - User specified cell_weights or default cell weight. - Sequential values are only used if setsystem is a - dataframe or ndarray in which case the sequence must - have the same length and order as these objects. - Sequential values are ignored for dataframes if cell_weight_col is already - a column in the data frame. - If cell_weights is assigned a single value - then it will be used as default for missing values or when no cell_weight_col - is given. - - cell_properties : (optional) Sequence[int | str] | Mapping[T,Mapping[T,Mapping[str,Any]]], - default = None - Column names from pd.DataFrame to use as cell properties - or a dict assigning cell_property to incidence pairs of edges and - nodes. Will generate a misc_cell_properties, which may have variable lengths per cell. - - misc_cell_properties : (optional) str | int, default = None - Column name of dataframe corresponding to a column of variable - length property dictionaries for the cell. Ignored for other setsystem - types. - - aggregateby : (optional) str, dict, default = 'first' - By default duplicate edge,node incidences will be dropped unless - specified with `aggregateby`. - See pandas.DataFrame.agg() methods for additional syntax and usage - information. - - edge_properties : (optional) pd.DataFrame | dict, default = None - Properties associated with edge ids. - First column of dataframe or keys of dict link to edge ids in - setsystem. + setsystem : pandas.DataFrame, dict of iterables, dict of dicts, list of iterables, numpy.ndarray, optional, default=None + See SetSystem below for additional setsystem requirements. - node_properties : (optional) pd.DataFrame | dict, default = None - Properties associated with node ids. - First column of dataframe or keys of dict link to node ids in - setsystem. + edge_col : str | int, optional, default=0 + column index (or name) in pandas.DataFrame, + used for (hyper)edge ids. Only used when setsystem is a + pandas.DataFrame + + node_col : str | int, optional, default=1 + column index (or name) in pandas.dataframe, + used for node ids. Only used when setsystem is a + pandas.DataFrame - properties : (optional) pd.DataFrame | dict, default = None + cell_weight_col : str | int, optional, default="weight" + column index (or name) in pandas.DataFrame used for + referencing cell weights. For a dict of dicts, it will be + used as a key in the nested dictionary of properties. + These are the same as edge dependent node weights and + will populate the incidence matrix when `weights=True`. + + default_cell_weight : int | float, optional, default=1 + All incidence pairs in the Hypergraph are assigned a + default weight if weight is not specified in the setsystem. + + misc_cell_properties_col : str | int, optional, default=None + Used for Pandas Dataframe with one column containing dictionaries of + properties. Useful if objects have diverse property sets. + Ignored for other setsystem types. + + properties : pd.DataFrame | dict, optional, default=None Concatenation/union of edge_properties and node_properties. - By default, the object id is used and should be the first column of - the dataframe, or key in the dict. If there are nodes and edges - with the same ids and different properties then use the edge_properties - and node_properties keywords. + By default, the object id is used and should be the first column of the dataframe, or key in the dict. + If there are nodes and edges with the same ids but distinct properties then separate them and use the + edge_properties and node_properties keywords. - misc_properties : (optional) int | str, default = None - Column of property dataframes with dtype=dict. Intended for variable - length property dictionaries for the objects. + weight_prop_col : str, optional, default=None + Name of property in properties to use for weight - edge_weight_prop : (optional) str, default = None, - Name of property in edge_properties to use for weight. + default_weight : int | float, optional, default=1 + Used when weight property is missing or undefined - node_weight_prop : (optional) str, default = None, - Name of property in node_properties to use for weight. + edge_properties : pd.DataFrame | dict, optional, default=None + Properties associated with edge ids. + If a dataframe, the first column must be the names of the edges. + First column of dataframe or keys of dict link to edge ids in + setsystem. - weight_prop : (optional) str, default = None - Name of property in properties to use for 'weight' + edge_weight_prop_col : str, optional, default=None + Name of property in edge_properties to use for weight. - default_edge_weight : (optional) int | float, default = 1 + default_edge_weight : int | float, optional, default=1 Used when edge weight property is missing or undefined. - default_node_weight : (optional) int | float, default = 1 + node_properties : pd.DataFrame | dict, optional, default=None + Properties associated with node ids. If a dataframe, the first column must be the names of the nodes. + First column of dataframe or keys of dict link to nodes ids in setsystem. + + node_weight_prop_col : str, optional, default=None + Name of property in node_properties to use for weight. + + default_node_weight : int | float, optional, default=1 Used when node weight property is missing or undefined - name : (optional) str, default = None + misc_properties_col : str | int, optional, default=None + Used for properties, edge_properties, and node_properties + Pandas Dataframes with one column containing dictionaries of + properties. Useful if objects have diverse property sets. + Ignored for other setsystem types. + + name : str, optional, default=None Name assigned to hypergraph ====================== - Hypergraphs in HNX 2.0 + Hypergraphs in HNX 2.3 ====================== An hnx.Hypergraph H = (V,E) references a pair of disjoint sets: V = nodes (vertices) and E = (hyper)edges. HNX allows for multi-edges by distinguishing edges by - their identifiers instead of their contents. For example, if + their unique identifiers instead of their contents. For example, if V = {1,2,3} and E = {e1,e2,e3}, where e1 = {1,2}, e2 = {1,2}, and e3 = {1,2,3}, the edges e1 and e2 contain the same set of nodes and yet are distinct and are distinguishable within H = (V,E). - New as of version 2.0, HNX provides methods to easily store and + New as of version 2.3, HNX provides methods to easily store and access additional metadata such as cell, edge, and node weights. - Metadata associated with (edge,node) incidences - are referenced as **cell_properties**. - Metadata associated with a single edge or node is referenced - as its **properties**. + Metadata associated with all edges, nodes, and (edge,node) incidence + pairs stored in the hypergraph are viewable using: :: + + >>> H.edges.to_dataframe + >>> H.nodes.to_dataframe + >>> H.incidences.to_dataframe The fundamental object needed to create a hypergraph is a **setsystem**. The setsystem defines the many-to-many relationships between edges and nodes in - the hypergraph. Cell properties for the incidence pairs can be defined within - the setsystem or in a separate pandas.Dataframe or dict. - Edge and node properties are defined with a pandas.DataFrame or dict. + the hypergraph. Properties for the incidence pairs are defined within + the setsystem. Properties for the edges and nodes are defined with separate + Pandas DataFrames or dictionaries. + + A hypergraph is defined by its relationships. While the + nodes and edges are distinct objects with their own properties, it is only + when they are in a relationship (i.e. incidence pair) that nodes and egdges are viewable + within the hypergraph structure. Consequently, hypergraph metrics and combinatorics do not + use "isolated" nodes or "empty" edges. For example, while `node_properties` could + contain any number of node identifiers, only nodes belonging to an edge + in the hypergraph are counted when computing the size and shape of the + hypergraph. SetSystems ---------- There are five types of setsystems currently accepted by the library. - 1. **iterable of iterables** : Barebones hypergraph uses Pandas default + 1. **iterable of iterables** : Barebones hypergraph, which uses Pandas default indexing to generate hyperedge ids. Elements must be hashable.: :: - >>> H = Hypergraph([{1,2},{1,2},{1,2,3}]) + >>> list_of_lists = [['book','candle','cat'],['book','coffee cup'],['coffee cup','radio']] + >>> H = Hypergraph(list_of_lists) - 2. **dictionary of iterables** : the most basic way to express many-to-many + 2. **dictionary of iterables** : The most basic way to express many-to-many relationships providing edge ids. The elements of the iterables must be hashable): :: - >>> H = Hypergraph({'e1':[1,2],'e2':[1,2],'e3':[1,2,3]}) + >>> scenes_dictionary = { + >>> 0: ('FN', 'TH'), + >>> 1: ('TH', 'JV'), + >>> 2: ('BM', 'FN', 'JA'), + >>> 3: ('JV', 'JU', 'CH', 'BM'), + >>> 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'), + >>> 5: ('TH', 'GP'), + >>> 6: ('GP', 'MP'), + >>> 7: ('MA', 'GP'), + >>> 8: ('FN', 'TH')} + >>> H = hnx.Hypergraph(scenes_dictionary) 3. **dictionary of dictionaries** : allows cell properties to be assigned to a specific (edge, node) incidence. This is particularly useful when there are variable length dictionaries assigned to each pair: :: - >>> d = {'e1':{ 1: {'w':0.5, 'name': 'related_to'}, - >>> 2: {'w':0.1, 'name': 'related_to', - >>> 'startdate': '05.13.2020'}}, - >>> 'e2':{ 1: {'w':0.52, 'name': 'owned_by'}, - >>> 2: {'w':0.2}}, - >>> 'e3':{ 1: {'w':0.5, 'name': 'related_to'}, - >>> 2: {'w':0.2, 'name': 'owner_of'}, - >>> 3: {'w':1, 'type': 'relationship'}} - - >>> H = Hypergraph(d, cell_weight_col='w') + >>> nested_dictionary = { + >>> 0: {'FN':{'time':'early', 'weight': 7}, 'TH':{'time':'late'}}, + >>> 1: {'TH':{'subject':'war'}, 'JV':{'observed_by':'someone'}}, + >>> 2: {'BM':{}, 'FN':{}, 'JA':{'role':'policeman'}}, + >>> 3: {'JV':{'was_carrying':'stick'}, 'JU':{}, 'CH':{}, 'BM':{'state':'intoxicated', 'color':'pinkish'}}, + >>> 4: {'JU':{'weight':15}, 'CH':{}, 'BR':{'state':'worried'}, 'CN':{}, 'CC':{}, 'JV':{}, 'BM':{}}, + >>> 5: {'TH':{}, 'GP':{}}, + >>> 6: {'GP':{}, 'MP':{}}, + >>> 7: {'MA':{}, 'GP':{'accompanied_by':'dog', 'weight':15, 'was_singing': 'Frère Jacques'}}} + >>> H = hnx.Hypergraph(nested_dictionary) 4. **pandas.DataFrame** For large datasets and for datasets with cell properties it is most efficient to construct a hypergraph directly from @@ -193,474 +205,332 @@ class Hypergraph: +-----------+-----------+-----------+-----------------------------------+ | e2 | 1 | 0.52 | {"name":"owned_by"} | +-----------+-----------+-----------+-----------------------------------+ - | e2 | 2 | 0.2 | | - +-----------+-----------+-----------+-----------------------------------+ - | ... | ... | ... | {...} | - +-----------+-----------+-----------+-----------------------------------+ The first row of the dataframe is used to reference each column. :: - >>> H = Hypergraph(df,edge_col="col1",node_col="col2", - >>> cell_weight_col="w",misc_cell_properties="col3") - - 5. **numpy.ndarray** For homogeneous datasets given in an ndarray a - pandas dataframe is generated and column names are added from the - edge_col and node_col arguments. Cell properties containing multiple data - types are added with a separate dataframe or dict and passed through the - cell_properties keyword. :: - - >>> arr = np.array([['e1','1'],['e1','2'], - >>> ['e2','1'],['e2','2'], - >>> ['e3','1'],['e3','2'],['e3','3']]) - >>> H = hnx.Hypergraph(arr, column_names=['col1','col2']) - + >>> import pandas as pd + >>> d = {'col1': ['e1', 'e1', 'e2'], + >>> 'col2': [1, 2, 1], + >>> 'w': [0.5, 0.1, 0.52], + >>> 'col3':[{'name': 'related_to'}, {'name': 'related_to', 'startdate':'05.13.2020'}, {'name': 'owned_by'}]} + >>> df = pd.DataFrame(d) + >>> H = hnx.Hypergraph(df, edge_col="col1", node_col="col2", + >>> cell_weight_col="w", misc_cell_properties_col="col3") + + 5. **numpy.ndarray** For homogeneous datasets given in a *n x 2* ndarray a + pandas dataframe is generated. In this case, the constructor will + only accept properties for the edges and nodes using the + edge and node uids listed in the array, although incidence properties can + be added after construction:: + + >>> import numpy as np + >>> np_array = np.array([['A','a'],['A','b'],['A','c'],['B','a'],['B','d'],['C','c'],['C','d']]) + >>> H = hnx.Hypergraph(np_array) + >>> H.incidences[('A','a')].color = 'red' + >>> H.dataframe Edge and Node Properties ------------------------ Properties specific to a single edge or node are passed through the - keywords: **edge_properties, node_properties, properties**. - Properties may be passed as dataframes or dicts. - The first column or index of the dataframe or keys of the dict keys + keywords: **edge_properties, node_properties, or properties**. + Properties may be passed as dataframes or dictionaries. + The first column or index of the dataframe or the keys of the dictionary correspond to the edge and/or node identifiers. If identifiers are shared among edges and nodes, or are distinct for edges and nodes, properties may be combined into a single object and passed to the **properties** keyword. For example: - +-----------+-----------+---------------------------------------+ - | id | weight | properties | - +-----------+-----------+---------------------------------------+ - | e1 | 5.0 | {'type':'event'} | - +-----------+-----------+---------------------------------------+ - | e2 | 0.52 | {"name":"owned_by"} | - +-----------+-----------+---------------------------------------+ - | ... | ... | {...} | - +-----------+-----------+---------------------------------------+ - | 1 | 1.2 | {'color':'red'} | - +-----------+-----------+---------------------------------------+ - | 2 | .003 | {'name':'Fido','color':'brown'} | - +-----------+-----------+---------------------------------------+ - | 3 | 1.0 | {} | - +-----------+-----------+---------------------------------------+ + +-----------+-----------+---------------------------------------+ + | uid | weight | properties | + +-----------+-----------+---------------------------------------+ + | e1 | 5.0 | {'type':'event'} | + +-----------+-----------+---------------------------------------+ + | e2 | 0.52 | {"name":"owned_by"} | + +-----------+-----------+---------------------------------------+ + | ... | ... | {...} | + +-----------+-----------+---------------------------------------+ + | 1 | 1.2 | {'color':'red'} | + +-----------+-----------+---------------------------------------+ + | 2 | .003 | {'name':'Fido','color':'brown'} | + +-----------+-----------+---------------------------------------+ + | 3 | 1.0 | {} | + +-----------+-----------+---------------------------------------+ A properties dictionary should have the format: :: - dp = {id1 : {prop1:val1, prop2,val2,...}, id2 : ... } - - A properties dataframe may be used for nodes and edges sharing ids - but differing in cell properties by adding a level index using 0 - for edges and 1 for nodes: - - +-----------+-----------+-----------+---------------------------+ - | level | id | weight | properties | - +-----------+-----------+-----------+---------------------------+ - | 0 | e1 | 5.0 | {'type':'event'} | - +-----------+-----------+-----------+---------------------------+ - | 0 | e2 | 0.52 | {"name":"owned_by"} | - +-----------+-----------+-----------+---------------------------+ - | ... | ... | ... | {...} | - +-----------+-----------+-----------+---------------------------+ - | 1 | 1.2 | {'color':'red'} | - +-----------+-----------+-----------+---------------------------+ - | 2 | .003 | {'name':'Fido','color':'brown'} | - +-----------+-----------+-----------+---------------------------+ - | ... | ... | ... | {...} | - +-----------+-----------+-----------+---------------------------+ - + dp = {uid1 : {prop1:val1, prop2:val2, ...}, + uid2 : {...}, + ...} Weights ------- The default key for cell and object weights is "weight". The default value - is 1. Weights may be assigned and/or a new default prescribed in the - constructor using **cell_weight_col** and **cell_weights** for incidence pairs, - and using **edge_weight_prop, node_weight_prop, weight_prop, - default_edge_weight,** and **default_node_weight** for node and edge weights. - + is 1. Weights may be assigned from a column in the dataframe by specifying the + column and/or a new default in the + constructor using **cell_weight_col** and **default_cell_weight** for incidence pairs, + and using **edge_weight_prop_col, default_edge_weight** for edges, + **node_weight_prop_col, default_node_weight** for nodes, + and **weight_prop_col, default_weight** for a shared property dataframe. """ - @warn_nwhy def __init__( self, - setsystem: Optional[ - pd.DataFrame - | np.ndarray - | Mapping[T, Iterable[T]] - | Iterable[Iterable[T]] - | Mapping[T, Mapping[T, Mapping[str, Any]]] - ] = None, - edge_col: str | int = 0, - node_col: str | int = 1, - cell_weight_col: Optional[str | int] = "cell_weights", - cell_weights: Sequence[float] | float = 1.0, - cell_properties: Optional[ - Sequence[str | int] | Mapping[T, Mapping[T, Mapping[str, Any]]] - ] = None, - misc_cell_properties_col: Optional[str | int] = None, - aggregateby: str | dict[str, str] = "first", - edge_properties: Optional[pd.DataFrame | dict[T, dict[Any, Any]]] = None, - node_properties: Optional[pd.DataFrame | dict[T, dict[Any, Any]]] = None, - properties: Optional[ - pd.DataFrame | dict[T, dict[Any, Any]] | dict[T, dict[T, dict[Any, Any]]] - ] = None, - misc_properties_col: Optional[str | int] = None, - edge_weight_prop_col: str | int = "weight", - node_weight_prop_col: str | int = "weight", - weight_prop_col: str | int = "weight", - default_edge_weight: Optional[float | None] = None, - default_node_weight: Optional[float | None] = None, - default_weight: float = 1.0, - name: Optional[str] = None, - **kwargs, + ### these are for the incidence pairs and their properties + ### format for properties must follow from incidence pairs + ### so that properties are provided either in the dataframe + ### or as part of a nested dictionary. + setsystem=None, + default_cell_weight=1, ### we will no longer support a sequence + edge_col=0, + node_col=1, + cell_weight_col="weight", + misc_cell_properties_col=None, + aggregate_by="first", + ### Format for properties can be either a dataframe indexed on uid + ### or with first column equal to uid or a dictionary + ### use these for a single properties list + properties=None, + ### How do we know which column to use for uid? Always the first column. + misc_properties_col=None, + weight_prop_col="weight", + default_weight: float | int = 1, + ### these are just for properties on the edges - ignored if properties exists + edge_properties=None, + misc_edge_properties_col=None, + edge_weight_prop_col="weight", + default_edge_weight=1, + ### these are just for properties on the nodes - ignored if properties exists + node_properties=None, + misc_node_properties_col=None, + node_weight_prop_col="weight", + default_node_weight=1, + name=None, + **kwargs, ## these are ignored but allow for some backwards compatibility ): - self.name = name or "" - self.misc_cell_properties_col = misc_cell_properties = ( - misc_cell_properties_col or "cell_properties" - ) - self.misc_properties_col = misc_properties_col = ( - misc_properties_col or "properties" - ) - self.default_edge_weight = default_edge_weight = ( - default_edge_weight or default_weight - ) - self.default_node_weight = default_node_weight = ( - default_node_weight or default_weight - ) - ### cell properties - - #### Empty Case - if setsystem is None or (len(setsystem) == 0): - df = pd.DataFrame(columns=['edges','nodes']) - self.E = EntitySet(df) - self._edges = self.E ##Edges(self.E) ## - self._nodes = self.E.restrict_to_levels([1]) ##Nodes(self.E) ## - self._data_cols = data_cols = self.E._data_cols - - self._dataframe = self.E._dataframe - self._set_default_state(empty=True) - if self._dataframe is not None: - self._dataframe[self._data_cols] = self._dataframe[self._data_cols].astype( - "category" - ) - - self.__dict__.update(locals()) - - else: #### DataFrame case - if isinstance(setsystem, pd.DataFrame): - if isinstance(edge_col, int): - self._edge_col = edge_col = setsystem.columns[edge_col] - if isinstance(edge_col, int): - setsystem = setsystem.rename(columns={edge_col: "edges"}) - self._edge_col = edge_col = "edges" - else: - self._edge_col = edge_col - - if isinstance(node_col, int): - self._node_col = node_col = setsystem.columns[node_col] - if isinstance(node_col, int): - setsystem = setsystem.rename(columns={node_col: "nodes"}) - self._node_col = node_col = "nodes" - else: - self._node_col = node_col - entity = setsystem.copy() - - if isinstance(cell_weight_col, int): - self._cell_weight_col = setsystem.columns[cell_weight_col] - else: - self._cell_weight_col = cell_weight_col - - if cell_weight_col in entity: - entity = entity.fillna({cell_weight_col: cell_weights}) - else: - entity[cell_weight_col] = cell_weights - - if isinstance(cell_properties, Sequence): - cell_properties = [ - c - for c in cell_properties - if not c in [edge_col, node_col, cell_weight_col] - ] - cols = [edge_col, node_col, cell_weight_col] + cell_properties - entity = entity[cols] - elif isinstance(cell_properties, dict): - cp = [] - for idx in entity.index: - edge, node = entity.iloc[idx][[edge_col, node_col]].values - cp.append(cell_properties[edge][node]) - entity["cell_properties"] = cp - - else: ### Cases Other than DataFrame - self._edge_col = edge_col = edge_col or "edges" - if node_col == 1: - self._node_col = node_col = "nodes" - else: - self._node_col = node_col - self._cell_weight_col = cell_weight_col - - if isinstance(setsystem, np.ndarray): - if setsystem.shape[1] != 2: - raise HyperNetXError("Numpy array must have exactly 2 columns.") - entity = pd.DataFrame(setsystem, columns=[edge_col, node_col]) - entity[cell_weight_col] = cell_weights - - elif isinstance(setsystem, dict): - ## check if it is a dict of iterables or a nested dict. if the latter then pull - ## out the nested dicts as cell properties. - ## cell properties must be of the same type as setsystem - - entity = pd.Series(setsystem).explode() - entity = pd.DataFrame( - {edge_col: entity.index.to_list(), node_col: entity.values} + type_dict = { + "DataFrame": dataframe_factory_method, + "dict": dict_factory_method, + "OrderedDict": dict_factory_method, + "defaultdict": dict_factory_method, + "list": list_factory_method, + "ndarray": ndarray_factory_method, + } + + if setsystem is None: + setsystem = pd.DataFrame( + columns=["edges", "nodes", "weight", "misc_properties"] + ) + setsystem_type = type(setsystem).__name__ + if setsystem_type in type_dict: + df = type_dict[setsystem_type]( + setsystem, + 2, + uid_cols=[edge_col, node_col], + weight_col=cell_weight_col, + default_weight=default_cell_weight, + misc_properties_col=misc_cell_properties_col, + aggregate_by=aggregate_by, + ) + ## dataframe_factory_method(edf,uid_cols=[uid_col],weight_col,default_weight,misc_properties) + ## multi index set by uid_cols = [edge_col,node_col] + incidence_store = IncidenceStore( + pd.DataFrame(list(df.index), columns=["edges", "nodes"]) + ) + incidence_propertystore = PropertyStore( + data=df, default_weight=default_cell_weight + ) + self._E = HypergraphView(incidence_store, 2, incidence_propertystore) + ## if no properties PropertyStore should store in the most efficient way + else: + raise HyperNetXError("setsystem data type not supported") + + if properties is not None: + property_type = type(properties).__name__ + if property_type in type_dict: + dfp = type_dict[property_type]( + properties, + 0, + weight_col=weight_prop_col, + default_weight=default_weight, + misc_properties_col=misc_properties_col, + ) + all_propertystore = PropertyStore( + data=dfp, default_weight=default_weight + ) + self._edges = HypergraphView(incidence_store, 0, all_propertystore) + self._nodes = HypergraphView(incidence_store, 1, all_propertystore) + else: + if edge_properties is not None: + edge_property_type = type(edge_properties).__name__ + if edge_property_type in type_dict: + edfp = type_dict[edge_property_type]( + edge_properties, + 0, + weight_col=edge_weight_prop_col, + default_weight=default_edge_weight, + misc_properties_col=misc_edge_properties_col, ) - - if dict_depth(setsystem) > 2: - cell_props = dict(setsystem) - if isinstance(cell_properties, dict): - ## if setsystem is a dict then cell properties must be a dict - cell_properties = merge_nested_dicts( - cell_props, cell_properties - ) - else: - cell_properties = cell_props - - df = setsystem - cp = [] - wt = [] - for idx in entity.index: - edge, node = entity.values[idx][[0, 1]] - wt.append(df[edge][node].get(cell_weight_col, cell_weights)) - cp.append(df[edge][node]) - entity[self._cell_weight_col] = wt - entity["cell_properties"] = cp - - else: - entity[self._cell_weight_col] = cell_weights - - elif isinstance(setsystem, Iterable): - entity = pd.Series(setsystem).explode() - entity = pd.DataFrame( - {edge_col: entity.index.to_list(), node_col: entity.values} + edge_propertystore = PropertyStore( + edfp, default_weight=default_edge_weight ) - entity["cell_weights"] = cell_weights - else: - raise HyperNetXError( - "setsystem is not supported or is in the wrong format." + edge_properties = PropertyStore(default_weight=default_edge_weight) + else: + edge_propertystore = PropertyStore(default_weight=default_edge_weight) + self._edges = HypergraphView(incidence_store, 0, edge_propertystore) + + if node_properties is not None: + node_property_type = type(node_properties).__name__ + if node_property_type in type_dict: + ndfp = type_dict[node_property_type]( + node_properties, + 1, + weight_col=node_weight_prop_col, + default_weight=default_node_weight, + misc_properties_col=misc_node_properties_col, + ) + node_propertystore = PropertyStore( + ndfp, default_weight=default_node_weight ) - - def props2dict(df=None): - if df is None: - return {} - elif isinstance(df, pd.DataFrame): - return df.set_index(df.columns[0]).to_dict(orient="index") else: - return dict(df) - - if properties is None: - if edge_properties is not None or node_properties is not None: - if edge_properties is not None: - edge_properties = props2dict(edge_properties) - for e in entity[edge_col].unique(): - if not e in edge_properties: - edge_properties[e] = {} - for v in edge_properties.values(): - v.setdefault(edge_weight_prop_col, default_edge_weight) - else: - edge_properties = {} - if node_properties is not None: - node_properties = props2dict(node_properties) - for nd in entity[node_col].unique(): - if not nd in node_properties: - node_properties[nd] = {} - for v in node_properties.values(): - v.setdefault(node_weight_prop_col, default_node_weight) - else: - node_properties = {} - properties = {0: edge_properties, 1: node_properties} + node_propertystore = PropertyStore( + default_weight=default_node_weight + ) else: - if isinstance(properties, pd.DataFrame): - if weight_prop_col in properties.columns: - properties = properties.fillna( - {weight_prop_col: default_weight} - ) - elif misc_properties_col in properties.columns: - for idx in properties.index: - if not isinstance( - properties[misc_properties_col][idx], dict - ): - properties[misc_properties_col][idx] = { - weight_prop_col: default_weight - } - else: - properties[misc_properties_col][idx].setdefault( - weight_prop_col, default_weight - ) - else: - properties[weight_prop_col] = default_weight - if isinstance(properties, dict): - if dict_depth(properties) <= 2: - properties = pd.DataFrame( - [ - {"id": k, misc_properties_col: v} - for k, v in properties.items() - ] - ) - for idx in properties.index: - if isinstance(properties[misc_properties_col][idx], dict): - properties[misc_properties_col][idx].setdefault( - weight_prop_col, default_weight - ) - else: - properties[misc_properties_col][idx] = { - weight_prop_col: default_weight - } - elif set(properties.keys()) == {0, 1}: - edge_properties = properties[0] - for e in entity[edge_col].unique(): - if not e in edge_properties: - edge_properties[e] = { - edge_weight_prop_col: default_edge_weight - } - else: - edge_properties[e].setdefault( - edge_weight_prop_col, default_edge_weight - ) - node_properties = properties[1] - for nd in entity[node_col].unique(): - if not nd in node_properties: - node_properties[nd] = { - node_weight_prop_col: default_node_weight - } - else: - node_properties[nd].setdefault( - node_weight_prop_col, default_node_weight - ) - for idx in properties.index: - if not isinstance( - properties[misc_properties_col][idx], dict - ): - properties[misc_properties_col][idx] = { - weight_prop_col: default_weight - } - else: - properties[misc_properties_col][idx].setdefault( - weight_prop_col, default_weight - ) - - self.E = EntitySet( - entity=entity, - data_cols=(edge_col, node_col), - weight_col=cell_weight_col, - weights=cell_weights, - cell_properties=cell_properties, - misc_cell_props_col=misc_cell_properties_col or "cell_properties", - aggregateby=aggregateby or "sum", - properties=properties, - misc_props_col=misc_properties_col, - ) - - self._edges = self.E - self._nodes = self.E.restrict_to_levels([1]) - self._data_cols = data_cols = [self._edge_col, self._node_col] + node_propertystore = PropertyStore(default_weight=default_node_weight) + self._nodes = HypergraphView(incidence_store, 1, node_propertystore) - self._dataframe = self.E.cell_properties - if self._dataframe is not None: - self._dataframe = self._dataframe.reset_index() - self._dataframe[data_cols] = self._dataframe[data_cols].astype( - "category" - ) - self._set_default_state() - - self.__dict__.update(locals()) + self._dataframe = self.dataframe + self._set_default_state() + self.name = name + self.__dict__.update(locals()) @property def edges(self): """ - Object associated with self._edges. + Object associated with edges. Returns ------- - EntitySet + : HypergraphView """ return self._edges @property def nodes(self): """ - Object associated with self._nodes. + Object associated with nodes. Returns ------- - EntitySet + : HypergraphView """ return self._nodes @property - def dataframe(self): - """Returns dataframe of incidence pairs and their properties. + def incidences(self): + """ + Object associated with incidence pairs Returns ------- - pd.DataFrame + : HypergraphView """ - return self._dataframe + return self._E @property - def properties(self): - """Returns dataframe of edge and node properties. + def dataframe(self): + """Returns dataframe of incidence properties + as dataframe with edges and nodes in columns. Returns ------- - pd.DataFrame + pandas.DataFrame """ - return self.E.properties + return self._E.properties.reset_index() @property - def edge_props(self): - """Dataframe of edge properties - indexed on edge ids + def properties(self): + """Returns incidence properties Returns ------- - pd.DataFrame + pandas.DataFrame """ - return self.E.properties.loc[0] + return self._E.properties - @property - def node_props(self): - """Dataframe of node properties - indexed on node ids + def incidence_matrix(self, index=False, weights=False): + """ + A sparse matrix indicating the existence of an incidence pair + in the hypergraph. Each row corresponds to a node v and each column + corresponds to an edge e. The entry corresponding to (row v, col e) + is nonzero if v is an element of e. If weights = True then the value + equals the weight given in the hypergraph incidence properties for + the incidence pair (e,v). Otherwise, the value is 1. + + Parameters + ---------- + index : bool, optional, default = False + If index=True, returns a tuple containing the incidence matrix, an np.ndarray containing the row and column + index of node_uids, and an np.ndarray containing the row and column index of edge_uids. + Otherwise, returns the incidence matrix. + weights : bool, optional, default = False + If True, use the incidence weights corresponding to + the row and column of the entry. Returns ------- - pd.DataFrame + incidence matrix: scipy.sparse.csr_matrix + node indexes: np.ndarray + an np.ndarray containing the row and column index of node_uids + edge indexes: np.ndarray + an np.ndarray containing the row and column index of edge_uids """ - return self.E.properties.loc[1] + e, n = self._state_dict["data"].T + + if weights: + data = self._E.dataframe["weight"] + else: + data = np.ones(len(e)).astype(int) + mat = csr_matrix((data, (n, e))) + + if index: + return ( + mat, + self._state_dict["labels"]["nodes"], + self._state_dict["labels"]["edges"], + ) + return mat + + def incidence_dataframe(self, weights=False): + mat, rindex, cindex = self.incidence_matrix(index=True, weights=weights) + return pd.DataFrame(mat.toarray(), columns=cindex, index=rindex) @property def incidence_dict(self): """ - Dictionary keyed by edge uids with values the uids of nodes in each - edge + Dictionary keyed by edge uids with values as the uids of nodes of each edge Returns ------- dict """ - return self.E.incidence_dict + return self._E.elements @property def shape(self): """ - (number of nodes, number of edges) + The number of nodes, number of edges Returns ------- - tuple + number of nodes, number of edges : tuple """ - return len(self._nodes.elements), len(self._edges.elements) + return len(self._nodes), len(self._edges) def __str__(self): """ @@ -671,7 +541,7 @@ def __str__(self): str """ - return f"{self.name}, " + return f"{self.name} " def __repr__(self): """ @@ -682,7 +552,7 @@ def __repr__(self): str """ - return f"{self.name}, hypernetx.classes.hypergraph.Hypergraph" + return f"{self.name} hypernetx.classes.hypergraph.Hypergraph" def __len__(self): """ @@ -704,7 +574,7 @@ def __iter__(self): dict_keyiterator """ - return iter(self.nodes) + return iter(self._nodes) def __contains__(self, item): """ @@ -712,18 +582,19 @@ def __contains__(self, item): Parameters ---------- - item : hashable or EntitySet + item : hashable """ - return item in self.nodes + return item in self._nodes def __getitem__(self, node): """ - Returns the neighbors of node + Returns the neighbors of node in the Hypergraph. These + will be the nodes sharing some edge with the node. Parameters ---------- - node : EntitySet or hashable + node : hashable If hashable, then must be uid of node in hypergraph Returns @@ -733,65 +604,124 @@ def __getitem__(self, node): """ return self.neighbors(node) - def get_cell_properties( - self, edge: str, node: str, prop_name: Optional[str] = None - ) -> Any | dict[str, Any]: + def clone(self, name=None): + """ + Create a deep copy of the hypergraph + + Parameters + ---------- + name : str, optional, default = None + + Returns + ------- + : Hypergraph + """ + return self._construct_hyp_from_stores( + self.incidences.to_dataframe, name=f"{name}_clone" + ) + + def __eq__(self, other): + if type(other) is type(self): + return self.incidences.items == other.incidences.items + return False + + def rename(self, edges=None, nodes=None, name=None, inplace=True): + """ + Rename the edges and/or nodes of the hypergraph. + + Parameters + ---------- + edges : dict, optional, default = None + dictionary of replacement edge_uids + nodes : dict, optional, default = None + dictionary of replacement node_uids + name : str, optional, default=None + inplace : bool, optional, default=True + + Returns + ------- + Hypergraph + """ + if edges is None and nodes is None: + return self + else: + edf = self.edges.to_dataframe + ndf = self.nodes.to_dataframe + df = self.incidences.to_dataframe + if edges is not None: + edf = edf.rename(index=edges) + df = df.rename(index=edges, level=0) + if nodes is not None: + ndf = ndf.rename(index=nodes) + df = df.rename(index=nodes, level=1) + eps = PropertyStore(edf) + nps = PropertyStore(ndf) + return self._construct_hyp_from_stores( + df, edge_ps=eps, node_ps=nps, name=name, inplace=inplace + ) + + def get_cell_properties(self, edge_uid, node_uid, prop_name=None): """Get cell properties on a specified edge and node Parameters ---------- - edge : str - edgeid - node : str - nodeid - prop_name : str, optional + edge_uid : str | int + edge_uid + node_uid : str | int + node_uid + prop_name : str, optional, default=None name of a cell property; if None, all cell properties will be returned Returns ------- - : int or str or dict of {str: any} + Any cell property value if `prop_name` is provided, otherwise ``dict`` of all cell properties and values """ if prop_name is None: - return self.edges.get_cell_properties(edge, node) - - return self.edges.get_cell_property(edge, node, prop_name) + return self.incidences.property_store.get_properties((edge_uid, node_uid)) + return self.incidences.property_store.get_property( + (edge_uid, node_uid), prop_name + ) - def get_properties(self, id, level=None, prop_name=None): - """Returns an object's specific property or all properties + def get_properties(self, uid, level=0, prop_name=None): + """ + Returns an object's specific property or all properties Parameters ---------- - id : hashable + uid : hashable edge or node id - level : int | None , optional, default = None - if separate edge and node properties then enter 0 for edges - and 1 for nodes. - prop_name : str | None, optional, default = None - if None then all properties associated with the object will be - returned. + level : int | None , optional, default=0 + Enter 0 for edges and 1 for nodes. + prop_name : str | None, optional, default=None + if None then all properties associated with the object will be returned. Returns ------- - : str or dict + Any single property or dictionary of properties """ - if prop_name is None: - return self.E.get_properties(id, level=level) - else: - return self.E.get_property(id, prop_name, level=level) - @warn_nwhy + if level == 0: + store = self._edges + elif level == 1: + store = self._nodes + elif level == 2: + store = self._E + if prop_name is None: ## rewrite for edges and nodes. + return store.property_store.get_properties(uid) + return store.property_store.get_property(uid, prop_name) + def get_linegraph(self, s=1, edges=True): """ - Creates an ::term::s-linegraph for the Hypergraph. - If edges=True (default)then the edges will be the vertices of the line + Creates an :term:`s-linegraph` for the Hypergraph. + If edges=True, then the edges will be the vertices of the line graph. Two vertices are connected by an s-line-graph edge if the - corresponding hypergraph edges intersect in at least s hypergraph nodes. + corresponding hypergraph edges intersect in at least `s` hypergraph nodes. If edges=False, the hypergraph nodes will be the vertices of the line graph. Two vertices are connected if the nodes they correspond to share - at least s incident hyper edges. + at least `s` incident (hyper)edges. Parameters ---------- @@ -810,12 +740,12 @@ def get_linegraph(self, s=1, edges=True): if s in d[key]: return d[key][s] - if edges: + if edges: ### Amaplist needs a dictionary returned for properties. A, Amap = self.edge_adjacency_matrix(s=s, index=True) - Amaplst = [(k, self.edge_props.loc[k].to_dict()) for k in Amap] + Amaplst = [(k, self._edges[k].properties) for k in Amap] else: A, Amap = self.adjacency_matrix(s=s, index=True) - Amaplst = [(k, self.node_props.loc[k].to_dict()) for k in Amap] + Amaplst = [(k, self._nodes[k].properties) for k in Amap] ### TODO: add key function to compute weights lambda x,y : funcval @@ -824,8 +754,8 @@ def get_linegraph(self, s=1, edges=True): e2 = np.array([Amap[idx] for idx in A[1]]) A = np.array([e1, e2]).T g = nx.Graph() - g.add_edges_from(A) g.add_nodes_from(Amaplst) + g.add_edges_from(A) d[key][s] = g return g @@ -835,87 +765,86 @@ def set_state(self, **kwargs): Parameters ---------- - **kwargs - key=value pairs to save in state dictionary + **kwargs : dict, optional + key-value pairs to save in state dictionary """ self._state_dict.update(kwargs) - def _set_default_state(self,empty=False): - """Populate state_dict with default values""" + def _set_default_state(self, empty=False): + """ + Populate state_dict with default values + """ self._state_dict = {} - - self._state_dict["dataframe"] = df = self.dataframe + df = self._E.incidence_store.data + self._state_dict["dataframe"] = df if empty: - self._state_dict["labels"] = { - "edges": np.array([]), - "nodes": np.array([]) - } - self._state_dict["data"] = np.array([[],[]]) - + self._state_dict["labels"] = {"edges": np.array([]), "nodes": np.array([])} + self._state_dict["data"] = np.array([[], []]) else: + df.edges = df.edges.astype("category") + df.nodes = df.nodes.astype("category") self._state_dict["labels"] = { - "edges": np.array(df[self._edge_col].cat.categories), - "nodes": np.array(df[self._node_col].cat.categories), + "edges": np.array(df["edges"].cat.categories), + "nodes": np.array(df["nodes"].cat.categories), } self._state_dict["data"] = np.array( - [df[self._edge_col].cat.codes, df[self._node_col].cat.codes], dtype=int + [df["edges"].cat.codes, df["nodes"].cat.codes], dtype=int ).T - self._state_dict["snodelg"] = dict() ### s: nx.graph self._state_dict["sedgelg"] = dict() self._state_dict["neighbors"] = defaultdict(dict) ### s: {node: neighbors} - self._state_dict["edge_neighbors"] = defaultdict(dict) ### s: {edge: edge_neighbors} + self._state_dict["edge_neighbors"] = defaultdict( + dict + ) ### s: {edge: edge_neighbors} self._state_dict["adjacency_matrix"] = dict() ### s: scipy.sparse.csr_matrix self._state_dict["edge_adjacency_matrix"] = dict() - def edge_size_dist(self): """ - Returns the size for each edge + Returns the size for each edge. Returns ------- - np.array - + list + a list of sizes of each edge. """ - if "edge_size_dist" not in self._state_dict: dist = np.array(np.sum(self.incidence_matrix(), axis=0))[0].tolist() self.set_state(edge_size_dist=dist) - return dist - else: - return self._state_dict["edge_size_dist"] + return self._state_dict["edge_size_dist"] - def degree(self, node, s=1, max_size=None): + def degree(self, node_uid, s=1, max_size=None): """ - The number of edges of size s that contain node. + The number of edges of size at least s and at most + max_size that contain the node. Parameters ---------- - node : hashable - identifier for the node. - s : positive integer, optional, default 1 - smallest size of edge to consider in degree - max_size : positive integer or None, optional, default = None - largest size of edge to consider in degree + node_uid : hashable + Identifier for the node. + s : int, optional, default=1 + The smallest size (must be positive) of an edge to consider in degree. + max_size : int, optional, default=None + The largest size (must be positive) of edge to consider in degree. Returns ------- - : int - + int + The number of edges of size at least s and at most + max_size that contain the node. """ - if s == 1 and max_size == None: - return len(self.E.memberships[node]) - else: - memberships = set() - for edge in self.E.memberships[node]: - size = len(self.edges[edge]) - if size >= s and (max_size is None or size <= max_size): - memberships.add(edge) + if s == 1 and max_size is None: + return len(self._nodes.memberships[node_uid]) - return len(memberships) + ### This could possibly be done more efficiently on the dataframe. + memberships = set() + for edge in self._nodes.memberships[node_uid]: + size = len(self.edges[edge]) + if size >= s and (max_size is None or size <= max_size): + memberships.add(edge) + return len(memberships) def size(self, edge, nodeset=None): """ @@ -930,76 +859,47 @@ def size(self, edge, nodeset=None): Returns ------- size : int - """ if nodeset is not None: return len(set(nodeset).intersection(set(self.edges[edge]))) return len(self.edges[edge]) - def number_of_nodes(self, nodeset=None): + def order(self): """ - The number of nodes in nodeset belonging to hypergraph. - - Parameters - ---------- - nodeset : an interable of Entities, optional, default = None - If None, then return the number of nodes in hypergraph. + The number of nodes in hypergraph. Returns ------- - number_of_nodes : int - + order : int """ - if nodeset is not None: - return len([n for n in self.nodes if n in nodeset]) - return len(self.nodes) - def number_of_edges(self, edgeset=None): + def dim(self, edge): """ - The number of edges in edgeset belonging to hypergraph. + Same as :meth:`size(edge) - 1` Parameters ---------- - edgeset : an iterable of Entities, optional, default = None - If None, then return the number of edges in hypergraph. - - Returns - ------- - number_of_edges : int - """ - if edgeset: - return len([e for e in self.edges if e in edgeset]) - - return len(self.edges) - - def order(self): - """ - The number of nodes in hypergraph. + edge : hashable + The uid of an edge in the hypergraph Returns ------- - order : int - """ - return len(self.nodes) - - def dim(self, edge): - """ - Same as size(edge)-1. + int """ return self.size(edge) - 1 def neighbors(self, node, s=1): """ - The nodes in hypergraph which share s edge(s) with node. + The nodes in hypergraph which share `s` edge(s) with node. Parameters ---------- - node : hashable or EntitySet - uid for a node in hypergraph or the node Entity + node : hashable + uid for a node in hypergraph - s : int, list, optional, default = 1 + s : int, optional, default=1 Minimum number of edges shared by neighbors with node. Returns @@ -1009,425 +909,592 @@ def neighbors(self, node, s=1): """ if node not in self.nodes: - print(f"{node} is not in hypergraph {self.name}.") - return None + warnings.warn(f"{node} is not in hypergraph {self.name}.") + return [] if node in self._state_dict["neighbors"][s]: return self._state_dict["neighbors"][s][node] + + inc_matrix = self.incidence_matrix() + rdx = self._state_dict["labels"]["nodes"] + jdx = np.where(rdx == node) + idx = (inc_matrix[jdx].dot(inc_matrix.T) >= s) * 1 + idx = np.nonzero(idx)[1] + neighbors = list(rdx[idx]) + if len(neighbors) > 0: + neighbors.remove(node) + self._state_dict["neighbors"][s][node] = neighbors else: - M = self.incidence_matrix() - rdx = self._state_dict["labels"]["nodes"] - jdx = np.where(rdx == node) - idx = (M[jdx].dot(M.T) >= s) * 1 - idx = np.nonzero(idx)[1] - neighbors = list(rdx[idx]) - if len(neighbors) > 0: - neighbors.remove(node) - self._state_dict["neighbors"][s][node] = neighbors - else: - self._state_dict["neighbors"][s][node] = [] - return neighbors + self._state_dict["neighbors"][s][node] = [] + return self._state_dict["neighbors"][s][node] def edge_neighbors(self, edge, s=1): """ - The edges in hypergraph which share s nodes(s) with edge. + The edges in hypergraph which share `s` nodes(s) with edge. Parameters ---------- - edge : hashable or EntitySet - uid for a edge in hypergraph or the edge Entity + edge : hashable + uid for an edge in hypergraph - s : int, list, optional, default = 1 + s : int, optional, default=1 Minimum number of nodes shared by neighbors edge node. Returns ------- - : list - List of edge neighbors + list + a list of edge neighbors """ if edge not in self.edges: - print(f"Edge is not in hypergraph {self.name}.") - return None + warnings.warn(f"Edge is not in hypergraph {self.name}.") + return [] if edge in self._state_dict["edge_neighbors"][s]: return self._state_dict["edge_neighbors"][s][edge] + + inc_matrix = self.incidence_matrix() + cdx = self._state_dict["labels"]["edges"] + jdx = np.where(cdx == edge) + idx = (inc_matrix.T[jdx].dot(inc_matrix) >= s) * 1 + idx = np.nonzero(idx)[1] + edge_neighbors = list(cdx[idx]) + if len(edge_neighbors) > 0: + edge_neighbors.remove(edge) + self._state_dict["edge_neighbors"][s][edge] = edge_neighbors else: - M = self.incidence_matrix() - cdx = self._state_dict["labels"]["edges"] - jdx = np.where(cdx == edge) - idx = (M.T[jdx].dot(M) >= s) * 1 - idx = np.nonzero(idx)[1] - edge_neighbors = list(cdx[idx]) - if len(edge_neighbors) > 0: - edge_neighbors.remove(edge) - self._state_dict["edge_neighbors"][s][edge] = edge_neighbors - else: - self._state_dict["edge_neighbors"][s][edge] = [] - return edge_neighbors + self._state_dict["edge_neighbors"][s][edge] = [] + return self._state_dict["edge_neighbors"][s][edge] - def incidence_matrix(self, weights=False, index=False): + def adjacency_matrix(self, s=1, index=False): """ - An incidence matrix for the hypergraph indexed by nodes x edges. + Returns the :term:`s-adjacency matrix` for the hypergraph. Parameters ---------- - weights : bool, default =False - If False all nonzero entries are 1. - If True and self.static all nonzero entries are filled by - self.edges.cell_weights dictionary values. + s : int, optional, default=1 - index : boolean, optional, default = False - If True return will include a dictionary of node uid : row number - and edge uid : column number + index: boolean, optional, default=False + If True, returns both the adjacency matrix and an array containing the row and column index of node_uids Returns ------- - incidence_matrix : scipy.sparse.csr.csr_matrix or np.ndarray + adjacency matrix: scipy.sparse.csr_matrix - row_index : list - index of node ids for rows + node indexes: np.ndarray + an np.ndarray containing the row and column index of node_uids. + """ + # if the adjacency_matrix for size s is not in the state_dict, create the adjacency matrix + # and add it to the state_dict + if ( + "adjacency_matrix" not in self._state_dict + or s not in self._state_dict["adjacency_matrix"] + ): + incidence_matrix = self.incidence_matrix() - col_index : list - index of edge ids for columns + # calculates the square of the incidence matrix by multiplying it with its transpose. + s_adj_matrix = incidence_matrix @ incidence_matrix.T - """ - sdkey = "incidence_matrix" - if weights: - sdkey = "weighted_" + sdkey + # sets the diagonal elements of s_adj_matrix to zero to remove self-loops. + s_adj_matrix.setdiag(0) - if sdkey in self._state_dict: - M = self._state_dict[sdkey] - else: - df = self.dataframe - data_cols = [self._node_col, self._edge_col] - if weights == True: - data = df[self._cell_weight_col].values - M = csr_matrix( - (data, tuple(np.array(df[col].cat.codes) for col in data_cols)) - ) - else: - M = csr_matrix( - ( - [1] * len(df), - tuple(np.array(df[col].cat.codes) for col in data_cols), - ) - ) - self._state_dict[sdkey] = M + # sets all values in s_adj_matrix that are greater than or equal to a + # threshold 's' to 1, and all other values to 0. - if index == True: - rdx = self.dataframe[self._node_col].cat.categories - cdx = self.dataframe[self._edge_col].cat.categories + s_adj_matrix = (s_adj_matrix >= s) * 1 - return M, rdx, cdx - else: - return M + self._state_dict["adjacency_matrix"][s] = s_adj_matrix - def adjacency_matrix(self, s=1, index=False, remove_empty_rows=False): + if index: + return ( + self._state_dict["adjacency_matrix"][s], + self._state_dict["labels"]["nodes"], + ) + return self._state_dict["adjacency_matrix"][s] + + def edge_adjacency_matrix(self, s=1, index=False): """ - The :term:`s-adjacency matrix` for the hypergraph. + Returns the :term:`s-adjacency matrix` for the dual hypergraph. Parameters ---------- - s : int, optional, default = 1 + s : int, optional, default=1 - index: boolean, optional, default = False - if True, will return the index of ids for rows and columns - - remove_empty_rows: boolean, optional, default = False + index: boolean, optional, default=False + If True, returns both the adjacency matrix and an array containing the row and column index of edge_uids Returns ------- - adjacency_matrix : scipy.sparse.csr.csr_matrix + edge adjacency matrix : scipy.sparse.csr_matrix - node_index : list - index of ids for rows and columns + edge indexes : np.ndarray + an np.ndarray containing the row and column index of edge_uids. + Notes + ----- + This is also the adjacency matrix for the line graph. + Two edges are s-adjacent if they share at least `s` nodes. """ - try: - A = self._state_dict["adjacency_matrix"][s] - except: - M = self.incidence_matrix() - A = M @ (M.T) - A.setdiag(0) - A = (A >= s) * 1 - self._state_dict["adjacency_matrix"][s] = A - if index == True: - return A, self._state_dict["labels"]["nodes"] - else: - return A + if ( + "edge_adjacency_matrix" not in self._state_dict + or s not in self._state_dict["edge_adjacency_matrix"] + ): + incidence_matrix = self.incidence_matrix() + s_adj_matrix = incidence_matrix.T @ incidence_matrix + s_adj_matrix.setdiag(0) + s_adj_matrix = (s_adj_matrix >= s) * 1 + self._state_dict["edge_adjacency_matrix"][s] = s_adj_matrix - def edge_adjacency_matrix(self, s=1, index=False): + if index: + return ( + self._state_dict["edge_adjacency_matrix"][s], + self._state_dict["labels"]["edges"], + ) + return self._state_dict["edge_adjacency_matrix"][s] + + def auxiliary_matrix(self, s=1, node=True, index=False): """ - The :term:`s-adjacency matrix` for the dual hypergraph. + The unweighted :term:`s-auxiliary matrix` for hypergraph Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 + + node : bool, optional, default=True + whether to return based on node or edge adjacencies - index: boolean, optional, default = False - if True, will return the index of ids for rows and columns + index : bool, optional, default=False + If True, returns both the auxiliary matrix and an array containing + the row and column index of node or edge_uids Returns ------- - edge_adjacency_matrix : scipy.sparse.csr.csr_matrix + auxiliary matrix : scipy.sparse.csr_matrix + Node/Edge adjacency matrix with empty rows and columns removed - edge_index : list - index of ids for rows and columns + index : np.ndarray + row and column index of node or edge uids + """ + if node: + adj_matrix, indexes = self.adjacency_matrix(s, index=True) + else: + adj_matrix, indexes = self.edge_adjacency_matrix(s, index=True) - Notes - ----- - This is also the adjacency matrix for the line graph. - Two edges are s-adjacent if they share at least s nodes. - If remove_zeros is True will return the auxillary matrix + # sum up the values in each row of the matrix, resulting in a 1D array + # where each element corresponds to the sum of a row. - """ - try: - A = self._state_dict["edge_adjacency_matrix"][s] - except: - M = self.incidence_matrix() - A = (M.T) @ (M) - A.setdiag(0) - A = (A >= s) * 1 - self._state_dict["edge_adjacency_matrix"][s] = A - if index == True: - return A, self._state_dict["labels"]["edges"] + adj_matrix_sum = np.sum(adj_matrix, axis=1) + # returns a tuple of arrays with the first tuple being an array of the indices of rows whose sum is non-zero. + indices = np.nonzero(np.sum(adj_matrix_sum, axis=1)) + non_zero_indices = indices[0] + if len(non_zero_indices) < adj_matrix.shape[0]: + adj_matrix_res = adj_matrix[non_zero_indices][:, non_zero_indices] else: - return A + adj_matrix_res = adj_matrix - def auxiliary_matrix(self, s=1, node=True, index=False): + if index: + return adj_matrix_res, indexes[non_zero_indices] + return adj_matrix_res + + def bipartite(self, keep_data=False, directed=False): """ - The unweighted :term:`s-edge or node auxiliary matrix` for hypergraph + Creates a bipartite NetworkX graph from hypergraph. + The nodes and (hyper)edges of hypergraph become the nodes of bipartite + graph. For every (hyper)edge e in the hypergraph and node v in e there + is an edge (e,v) in the graph. Parameters ---------- - s : int, optional, default = 1 - node : bool, optional, default = True - whether to return based on node or edge adjacencies + keep_data : bool, optional, default = False + If True the node and edge data from the hypergraph will be added to + the NetworkX graph + directed : bool, optional, default = False + If True the graph edges will be directed so that the hypergraph + edges are the sources and the hypergraph nodes are the targets Returns ------- - auxiliary_matrix : scipy.sparse.csr.csr_matrix - Node/Edge adjacency matrix with empty rows and columns - removed - index : np.array - row and column index of userids - + networkx.Graph or DiGraph """ - if node == True: - A, Amap = self.adjacency_matrix(s, index=True) + if directed is True: + B = nx.DiGraph() else: - A, Amap = self.edge_adjacency_matrix(s, index=True) - - idx = np.nonzero(np.sum(A, axis=1))[0] - if len(idx) < A.shape[0]: - B = A[idx][:, idx] - else: - B = A - if index: - return B, Amap[idx] + B = nx.Graph() + if keep_data is False: + B.add_nodes_from(self.edges, bipartite=0) + B.add_nodes_from(self.nodes, bipartite=1) + B.add_edges_from( + [ + (e, v) + for v in self._nodes.memberships + for e in self._nodes.memberships[v] + ] + ) else: - return B + for nd in self.nodes: + B.add_node(nd, bipartite=1, **self.nodes[nd].properties) + for ed in self.edges: + B.add_node(ed, bipartite=0, **self.edges[ed].properties) + B.add_edges_from([(*d, self._E[d].properties) for d in self._E]) + return B - def bipartite(self): + def _construct_hyp_from_stores( + self, incidence_df, edge_ps=None, node_ps=None, name=None, inplace=False + ): """ - Constructs the networkX bipartite graph associated to hypergraph. + + Parameters + ---------- + incidence_df : pd.DataFrame + edge_ps : PropertyStore, default=None + node_ps: PropertyStore, default=None + name : str, optional, default=None + inplace : bool, optional, default=False + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. Returns ------- - bipartite : nx.Graph() + Hypergraph + """ + if inplace: + h = self + else: + h = Hypergraph() - Notes - ----- - Creates a bipartite networkx graph from hypergraph. - The nodes and (hyper)edges of hypergraph become the nodes of bipartite - graph. For every (hyper)edge e in the hypergraph and node n in e there - is an edge (n,e) in the graph. + incidence_store = IncidenceStore( + pd.DataFrame(incidence_df.index.tolist(), columns=["edges", "nodes"]) + ) + incidence_ps = PropertyStore( + incidence_df, default_weight=self.incidences.default_weight + ) + h._E = HypergraphView(incidence_store, 2, incidence_ps) - """ - B = nx.Graph() - nodes = self._state_dict["labels"]["nodes"] - edges = self._state_dict["labels"]["edges"] - B.add_nodes_from(self.edges, bipartite=0) - B.add_nodes_from(self.nodes, bipartite=1) - B.add_edges_from([(v, e) for e in self.edges for v in self.edges[e]]) - return B + if edge_ps is None: + edge_ps = PropertyStore( + self.edges.to_dataframe, default_weight=self.edges.default_weight + ) + h._edges = HypergraphView(incidence_store, 0, edge_ps) - def dual(self, name=None, switch_names=True): + if node_ps is None: + node_ps = PropertyStore( + self.nodes.to_dataframe, default_weight=self.nodes.default_weight + ) + h._nodes = HypergraphView(incidence_store, 1, node_ps) + + h._set_default_state() + h._dataframe = h.dataframe + if not inplace: + h.name = name + return h + + def dual(self, name=None, share_properties=True): """ Constructs a new hypergraph with roles of edges and nodes of hypergraph reversed. Parameters ---------- - name : hashable, optional + name : hashable, optional, default=None - switch_names : bool, optional, default = True - reverses edge_col and node_col names - unless edge_col = 'edges' and node_col = 'nodes' + share_properties : bool, optional, default=True + Whether to tie the edge and node properties of + objects in the dual to objects in the hypergraph. + If True, a change to edge and node properties in one will + be reflected in the other. Returns ------- - : hypergraph - + Hypergraph """ - dfp = deepcopy(self.edges.properties) - dfp = dfp.reset_index() - dfp.level = dfp.level.apply(lambda x: 1 * (x == 0)) - dfp = dfp.set_index(["level", "id"]) - edge, node, wt = self._edge_col, self._node_col, self._cell_weight_col - df = deepcopy(self.dataframe) - cprops = [col for col in df.columns if not col in [edge, node, wt]] + C = self.dataframe.columns.tolist() - df[[edge, node]] = df[[node, edge]] - if switch_names == True and not ( - self._edge_col == "edges" and self._node_col == "nodes" - ): - # if switch_names == False or (self._edge_col == 'edges' and self._node_col == 'nodes'): - df = df.rename(columns={edge: self._node_col, node: self._edge_col}) - node = self._edge_col - edge = self._node_col - - return Hypergraph( - df, - edge_col=edge, - node_col=node, - cell_weight_col=wt, - cell_properties=cprops, - properties=dfp, - name=name, + dsetsystem = ( + self.dataframe[[C[1], C[0]] + C[2:]] + .rename(columns={"edges": "nodes", "nodes": "edges"}) + .set_index(["edges", "nodes"]) ) + if share_properties: + edge_ps = self._nodes.property_store + node_ps = self._edges.property_store + else: + edge_ps = PropertyStore(self.nodes.to_dataframe) + node_ps = PropertyStore(self.edges.to_dataframe) + + hdual = self._construct_hyp_from_stores( + dsetsystem, + edge_ps=edge_ps, + node_ps=node_ps, + name=name or str(self.name) + "_dual", + ) + return hdual + + def equivalence_classes(self, edges=True): + """ + Returns the equivalence classes created by collapsing edges or nodes. + + Parameters + ---------- + edges : bool, optional, default=True + If True collapses edges, otherwise collapses nodes. + + Returns + ------- + list + A list of sets of edges or nodes + + See Also + -------- + collapse_edges + collapse_nodes + collapse_nodes_and_edges + """ + level = 0 if edges else 1 + return self._E.incidence_store.equivalence_classes(level=level) + def collapse_edges( self, name=None, + use_uids=None, + use_counts=False, + return_counts=True, return_equivalence_classes=False, - use_reps=None, - return_counts=None, + aggregate_edges_by=None, + aggregate_cells_by=None, ): """ - Constructs a new hypergraph gotten by identifying edges containing the - same nodes + Returns a new hypergraph by collapsing edges. Parameters ---------- - name : hashable, optional, default = None + + name: str, optional, default = None + + use_uids: list, optional, default = None + Specify the edge identifiers to use as representatives + for a single equivalence class. If two identifiers occur in the + same equivalence class, the first one found will be used. + + use_counts: boolean, optional, default = False + Rename the equivalence class representatives as `:` + + return_counts: bool, optional, default = True + Add the size of the equivalence class to the properties + associated to the representative in the collapsed hypergraph using + keyword: `eclass_size` return_equivalence_classes: boolean, optional, default = False - Returns a dictionary of edge equivalence classes keyed by frozen - sets of nodes + Returns a dictionary of edge equivalence classes keyed by a + representative from each class + + aggregate_edges_by, aggregate_cells_by : dict, optional, default = {'weight':'sum'} + dictionary of aggregation methods keyed by column names + in the properties dataframes, does not apply to misc_properties. + Defaults to 'first' on unlisted columns. + See pandas.core.groupby.DataFrameGroupBy.agg for usage examples with + dictionaries Returns ------- - new hypergraph : Hypergraph - Equivalent edges are collapsed to a single edge named by a - representative of the equivalent edges followed by a colon and the - number of edges it represents. - - equivalence_classes : dict - A dictionary keyed by representative edge names with values equal - to the edges in its equivalence class + Hypergraph Notes ----- - Two edges are identified if their respective elements are the same. - Using this as an equivalence relation, the uids of the edges are - partitioned into equivalence classes. + Collapses the edges of Hypergraph. Two edges are + duplicates if their respective elements are the same. + Using this as an equivalence relation, the uids of the edges + are partitioned into equivalence classes. A single member of the + equivalence class is chosen to represent the class. - A single edge from the collapsed edges followed by a colon and the - number of elements in its equivalence class as uid for the new edge + Example + ------- + >>> data = {'E1': ('a', 'b'), 'E2': ('a', 'b')} + >>> h = Hypergraph(data) + >>> h.incidence_dict + {'E1': ['a', 'b'], 'E2': ['a', 'b']} + >>> h.collapse_edges().incidence_dict + {'E1': ['a', 'b']} + >>> h.collapse_edges(use_counts=True).incidence_dict + {'E1:2': ['a', 'b']} + >>> h.collapse_edges().properties.to_dict(orient='records') + [{'weight': 2.0, 'misc_properties': {}}, {'weight': 2.0, 'misc_properties': {}}] + """ + _, eclasses = self._E.incidence_store.collapse_identical_elements( + 0, use_keys=use_uids + ) - """ - if use_reps is not None or return_counts is not None: - msg = """ - use_reps ane return_counts are no longer supported keyword - arguments and will throw an error in the next release. - collapsed hypergraph automatically names collapsed objects by a - string "rep:count" - """ - warnings.warn(msg, DeprecationWarning) + aggregate_edges_by = aggregate_edges_by or {"weight": "sum"} + aggregate_cells_by = aggregate_cells_by or {"weight": "sum"} + + ndf = self.edges.to_dataframe + df = self.incidences.to_dataframe + + if use_uids is not None: ## then eclasses will reorder the dataframes + ## so the first occurence of the class is one of these uids. + newindex = [] + for v in eclasses.values(): + newindex += v + ndf = ndf.loc[newindex] + df = df.loc[newindex, :] + + if use_counts: + mapper = {vv: f"{k}:{len(v)}" for k, v in eclasses.items() for vv in v} + else: + mapper = {vv: k for k, v in eclasses.items() for vv in v} + + ndf = ndf.rename(index=mapper) + ndf = _agg_rows(ndf, ndf.index, aggregate_edges_by) + edge_ps = PropertyStore(ndf) - temp = self.edges.collapse_identical_elements( - return_equivalence_classes=return_equivalence_classes + df = df.rename(index=mapper, level=0) + df = _agg_rows(df, ["edges", "nodes"], aggregate_cells_by) + + node_ps = PropertyStore(self.nodes.to_dataframe) + H = self._construct_hyp_from_stores( + df, edge_ps=edge_ps, node_ps=node_ps, name=name ) - if return_equivalence_classes: - return Hypergraph(temp[0].incidence_dict, name), temp[1] + if return_counts: + if use_counts: + for nd in H.edges: + H.edges[nd].equivalence_class_size = int(nd.split(":")[1]) + else: + for nd in H.edges: + H.edges[nd].equivalence_class_size = len(eclasses[nd]) - return Hypergraph(temp.incidence_dict, name) + if return_equivalence_classes: + return H, {mapper[k]: eclasses[k] for k in eclasses} + else: + return H def collapse_nodes( self, name=None, + use_uids=None, + use_counts=False, + return_counts=True, return_equivalence_classes=False, - use_reps=None, - return_counts=None, - ) -> Hypergraph: + aggregate_nodes_by=None, + aggregate_cells_by=None, + ): """ - Constructs a new hypergraph gotten by identifying nodes contained by - the same edges + Returns a new hypergraph by collapsing nodes. Parameters ---------- + name: str, optional, default = None - return_equivalence_classes: boolean, optional, default = False - Returns a dictionary of node equivalence classes keyed by frozen - sets of edges + use_uids: list, optional, default = None + Specify the node identifiers to use as representatives + for a single equivalence class. If two identifiers occur in the + same equivalence class, the first one found will be used. - use_reps : boolean, optional, default = None - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] Choose a single element from the - collapsed nodes as uid for the new node, otherwise uses a frozen - set of the uids of nodes in the equivalence class. If use_reps is True the new nodes have uids given by a - tuple of the rep and the count + use_counts: boolean, optional, default = False + Rename the equivalence class representatives as `:` - return_counts: boolean, optional, default = None - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] + return_counts: bool, optional, default = True + Add the size of the equivalence class to the properties + associated to the representative in the collapsed hypergraph using + keyword: `eclass_size` + + return_equivalence_classes: boolean, optional, default = False + Returns a dictionary of edge equivalence classes keyed by a + representative from each class + + aggregate_nodes_by, aggregate_cells_by : dict, optional, default = {'weight':'sum'} + dictionary of aggregation methods keyed by column names + in the properties dataframes, does not apply to misc_properties. + Defaults to 'first' on unlisted columns. + See pandas.core.groupby.DataFrameGroupBy.agg for usage examples with + dictionaries Returns ------- - new hypergraph : Hypergraph + Hypergraph Notes ----- - Two nodes are identified if their respective memberships are the same. - Using this as an equivalence relation, the uids of the nodes are - partitioned into equivalence classes. A single member of the - equivalence class is chosen to represent the class followed by the - number of members of the class. + Collapses the nodes of Hypergraph. Two nodes are + duplicates if their respective memberships are the same. + Using this as an equivalence relation, the uids of the nodes + are partitioned into equivalence classes. A single member of the + equivalence class is chosen to represent the class. Example ------- - >>> data = {'E1': ('a', 'b'), 'E2': ('a', 'b')})) - >>> h = Hypergraph(data) - >>> h.collapse_nodes().incidence_dict - {'E1': ['a: 2'], 'E2': ['a: 2']} - """ - if use_reps is not None or return_counts is not None: - msg = """ - use_reps and return_counts are no longer supported keyword arguments and will throw - an error in the next release. - collapsed hypergraph automatically names collapsed objects by a string "rep:count" - """ - warnings.warn(msg, DeprecationWarning) - - temp = self.dual().edges.collapse_identical_elements( - return_equivalence_classes=return_equivalence_classes + >>> data = {'E1': ('a', 'b'), 'E2': ('a', 'b')} + >>> h = Hypergraph(data) + >>> h.incidence_dict + {'E1': ['a', 'b'], 'E2': ['a', 'b']} + >>> h.collapse_nodes().incidence_dict + {'E1': ['a'], 'E2': ['a']} + >>> h.collapse_nodes(use_counts=True).incidence_dict + {'E1: ['a:2'], 'E2': ['a:2']} + >>> h.collapse_nodes().properties.to_dict(orient='records') + [{'weight': 2.0, 'misc_properties': {}}, {'weight': 2.0, 'misc_properties': {}}] + """ + _, eclasses = self._E.incidence_store.collapse_identical_elements( + 1, use_keys=use_uids + ) + + aggregate_nodes_by = aggregate_nodes_by or {"weight": "sum"} + aggregate_cells_by = aggregate_cells_by or {"weight": "sum"} + + ndf = self.nodes.to_dataframe + df = self.incidences.to_dataframe + + if use_uids is not None: ## then eclasses will reorder the dataframes + ## so the first occurence of the class is one of these uids. + newindex = [] + for v in eclasses.values(): + newindex += v + ndf = ndf.loc[newindex] + df = df.swaplevel().loc[newindex, :].swaplevel() + + if use_counts: + mapper = {vv: f"{k}:{len(v)}" for k, v in eclasses.items() for vv in v} + else: + mapper = {vv: k for k, v in eclasses.items() for vv in v} + + ndf = ndf.rename(index=mapper) + ndf = _agg_rows(ndf, ndf.index, aggregate_nodes_by) + node_ps = PropertyStore(ndf) + + df = df.rename(index=mapper, level=1) + df = _agg_rows(df, ["edges", "nodes"], aggregate_cells_by) + + edge_ps = PropertyStore(self.edges.to_dataframe) + H = self._construct_hyp_from_stores( + df, edge_ps=edge_ps, node_ps=node_ps, name=name ) - if return_equivalence_classes: - return Hypergraph(temp[0].incidence_dict).dual(), temp[1] + if return_counts: + if use_counts: + for nd in H.nodes: + H.nodes[nd].equivalence_class_size = int(nd.split(":")[1]) + else: + for nd in H.nodes: + H.nodes[nd].equivalence_class_size = len(eclasses[nd]) - return Hypergraph(temp.incidence_dict, name).dual() + if return_equivalence_classes: + return H, {mapper[k]: eclasses[k] for k in eclasses} + else: + return H def collapse_nodes_and_edges( self, name=None, + use_edge_uids=None, + use_node_uids=None, + use_counts=False, + return_counts=True, return_equivalence_classes=False, - use_reps=None, - return_counts=None, + aggregate_nodes_by=None, + aggregate_edges_by=None, + aggregate_cells_by=None, ): """ Returns a new hypergraph by collapsing nodes and edges. @@ -1438,29 +1505,40 @@ def collapse_nodes_and_edges( name: str, optional, default = None return_equivalence_classes: boolean, optional, default = False - Returns a dictionary of edge equivalence classes keyed by frozen - sets of nodes + Returns a dictionary of edge equivalence classes keyed by a + representative from each class + + use_edge_uids, use_node_uids: list, optional, default = None + Specify the edge and node identifiers to use as representatives + for a single equivalence class. If two identifiers occur in the + same equivalence class, the first one found will be used. + + use_counts: boolean, optional, default = False + Rename the equivalence class representatives as `:` - use_reps: boolean, optional, default = None - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] Choose a single element from the collapsed elements as a - representative. If use_reps is True, the new elements are keyed by a tuple of the - rep and the count. + return_counts: bool, optional, default = True + Add the size of the equivalence class to the properties + associated to the representative in the collapsed hypergraph using + keyword: `eclass_size` + + aggregate_nodes_by, aggregate_edges_by, aggregate_cells_by: optional + default = {'weight' = 'sum'}, all + Method to combine duplicate rows of data for the same uids - return_counts: boolean, optional, default = None - [DEPRECATED; WILL BE REMOVED IN NEXT RELEASE] Returns ------- new hypergraph : Hypergraph + node equivalence classes : dict + edge equivalence classes : dict Notes ----- - Collapses the Nodes and Edges of EntitySets. Two nodes(edges) are + Collapses the Nodes and Edges of Hypergraph. Two nodes(edges) are duplicates if their respective memberships(elements) are the same. Using this as an equivalence relation, the uids of the nodes(edges) are partitioned into equivalence classes. A single member of the - equivalence class is chosen to represent the class followed by the - number of members of the class. + equivalence class is chosen to represent the class. Example ------- @@ -1470,43 +1548,69 @@ def collapse_nodes_and_edges( >>> h.incidence_dict {'E1': ['a', 'b'], 'E2': ['a', 'b']} >>> h.collapse_nodes_and_edges().incidence_dict - {'E1: 2': ['a: 2']} - + {'E1': ['a']} + >>> h.collapse_nodes_and_edges(use_counts=True).incidence_dict + {'E1:2': ['a:2']} """ - if use_reps is not None or return_counts is not None: - msg = """ - use_reps and return_counts are no longer supported keyword - arguments and will throw an error in the next release. - collapsed hypergraph automatically names collapsed objects by a - string "rep:count" - """ - warnings.warn(msg, DeprecationWarning) + + aggregate_nodes_by = aggregate_nodes_by or {"weight": "sum"} + aggregate_cells_by = aggregate_cells_by or {"weight": "sum"} + aggregate_edges_by = aggregate_edges_by or {"weight": "sum"} if return_equivalence_classes: temp, neq = self.collapse_nodes( - name="temp", return_equivalence_classes=True + return_equivalence_classes=True, + use_uids=use_node_uids, + use_counts=use_counts, + return_counts=return_counts, + aggregate_nodes_by=aggregate_nodes_by, + aggregate_cells_by=aggregate_cells_by, + ) + ntemp, eeq = temp.collapse_edges( + name=name, + return_equivalence_classes=True, + use_uids=use_edge_uids, + use_counts=use_counts, + return_counts=return_counts, + aggregate_edges_by=aggregate_edges_by, + aggregate_cells_by=aggregate_cells_by, ) - ntemp, eeq = temp.collapse_edges(name=name, return_equivalence_classes=True) return ntemp, neq, eeq - - temp = self.collapse_nodes(name="temp") - return temp.collapse_edges(name=name) + else: + temp = self.collapse_nodes( + use_uids=use_node_uids, + use_counts=use_counts, + return_counts=return_counts, + aggregate_nodes_by=aggregate_nodes_by, + aggregate_cells_by=aggregate_cells_by, + ) + return temp.collapse_edges( + name=name, + use_uids=use_edge_uids, + use_counts=use_counts, + return_counts=return_counts, + aggregate_edges_by=aggregate_edges_by, + aggregate_cells_by=aggregate_cells_by, + ) def restrict_to_nodes(self, nodes, name=None): - """New hypergraph gotten by restricting to nodes + """ + New hypergraph gotten by restricting to nodes Parameters ---------- nodes : Iterable - nodeids to restrict to + node identifiers to restrict to + name : str | int, optional, default=None + node identifier Returns ------- - : hnx. Hypergraph - + Hypergraph """ - keys = set(self._state_dict["labels"]["nodes"]).difference(nodes) - return self.remove(keys, level=1) + + keys = list(set(self._state_dict["labels"]["nodes"]).difference(nodes)) + return self._remove(keys, level=1, name=name, inplace=False) def restrict_to_edges(self, edges, name=None): """New hypergraph gotten by restricting to edges @@ -1514,126 +1618,378 @@ def restrict_to_edges(self, edges, name=None): Parameters ---------- edges : Iterable - edgeids to restrict to + edge identifiers to restrict to + name : str | int, optional, default=None + edge identifier Returns ------- - hnx.Hypergraph + Hypergraph + """ + keys = list(set(self._state_dict["labels"]["edges"]).difference(edges)) + return self._remove(keys, level=0, name=name, inplace=False) + def add_edge(self, edge_uid, inplace=True, **attr): """ - keys = set(self._state_dict["labels"]["edges"]).difference(edges) - return self.remove(keys, level=0) + Add a single edge with attributes to edge properties. + Does not add an incidence to the hypergraph. - def remove_edges(self, keys, name=None): - return self.remove(keys, level=0, name=name) + Parameters + ---------- - def remove_nodes(self, keys, name=None): - return self.remove(keys, level=1, name=name) + edge_uid : int | str + edge_uid + inplace : bool, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + **attr : dict, optional + Properties to add to edges as key=value pairs. - def remove(self, keys, level=None, name=None): - """Creates a new hypergraph with nodes and/or edges indexed by keys - removed. More efficient for creating a restricted hypergraph if the - restricted set is greater than what is being removed. + Returns + ------- + Hypergraph + """ + return self._add_items_from([(edge_uid, attr)], 0, inplace=inplace) + + def add_edges_from(self, edge_uids, inplace=True): + """ + Add a collection of edges with attributes to edge properties. + Does not add an incidence to the hypergraph. Parameters ---------- - keys : list | tuple | set | Hashable - node and/or edge id(s) to restrict to - level : None, optional - Enter 0 to remove edges with ids in keys. - Enter 1 to remove nodes with ids in keys. - If None then all objects in nodes and edges with the id will - be removed. - name : str, optional - Name of new hypergraph + edge_uids : list[int | str] | list[tuple[int | str, dict]], list[int | str | tuple[int | str, dict]] + edge_uids must be a list of uids and/or tuples of the form (uid,data) where data is dictionary + inplace : bool, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. Returns ------- - : hnx.Hypergraph + Hypergraph + """ + edge_uids = self._process_uids(edge_uids) + return self._add_items_from(edge_uids, 0, inplace=inplace) + def add_node(self, node_uid, inplace=True, **attr): """ - rdfprop = self.properties.copy() - rdf = self.dataframe.copy() - if isinstance(keys, (list, tuple, set)): - nkeys = keys - elif isinstance(keys, Hashable): - nkeys = list() - nkeys.append(keys) - else: - raise TypeError("`keys` parameter must be list | tuple | set | Hashable") - if level == 0: - kdx = set(nkeys).intersection(set(self._state_dict["labels"]["edges"])) - for k in kdx: - rdfprop = rdfprop.drop((0, k)) - rdf = rdf.loc[~(rdf[self._edge_col].isin(kdx))] - elif level == 1: - kdx = set(nkeys).intersection(set(self._state_dict["labels"]["nodes"])) - for k in kdx: - rdfprop = rdfprop.drop((1, k)) - rdf = rdf.loc[~(rdf[self._node_col].isin(kdx))] - else: - rdfprop = rdfprop.reset_index() - kdx = set(nkeys).intersection(rdfprop.id.unique()) - rdfprop = rdfprop.set_index("id") - rdfprop = rdfprop.drop(index=kdx) - rdf = rdf.loc[~(rdf[self._edge_col].isin(kdx))] - rdf = rdf.loc[~(rdf[self._node_col].isin(kdx))] - - return Hypergraph( - setsystem=rdf, - edge_col=self._edge_col, - node_col=self._node_col, - cell_weight_col=self._cell_weight_col, - misc_cell_properties_col=self.edges._misc_cell_props_col, - properties=rdfprop, - misc_properties_col=self.edges._misc_props_col, - name=name, + Add a single node with attributes to node properties. + Does not add an incidence to the hypergraph. + + Parameters + ---------- + node_uid : int | str + node_uid + inplace : bool, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + **attr : dict, optional + Properties to add to edges as key=value pairs. + + Returns + ------- + Hypergraph + """ + return self._add_items_from([(node_uid, attr)], 1, inplace=inplace) + + def add_nodes_from(self, node_uids, inplace=True): + """ + Add a collection of nodes with attributes to nodes properties. + Does not add an incidence to the hypergraph. + + Parameters + ---------- + node_uids : list[int | str] | list[tuple[int | str, dict]], list[int | str | tuple[int | str, dict]] + node_uids must be a list of uids and/or tuples of the form (uid,data) where data is dictionary + inplace : bool, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + + Returns + ------- + Hypergraph + """ + node_uids = self._process_uids(node_uids) + return self._add_items_from(node_uids, 1, inplace=inplace) + + def _process_uids(self, uids): + """Returns a list of items in the form of list[tuple[int | str, dict]""" + new_items = list() + for item in uids: + if not isinstance(item, tuple): + new_items.append((item, {})) + else: + new_items.append(item) + return new_items + + def add_nodes_to_edges(self, edge_dict, inplace=True): + """ + Adds a collection of incidences to Hypergraph + + Parameters + ---------- + edge_dict: dict[str, list[str | int] | dict[str, dict]] + The edge dictionary must be a dictionary of edges as the keys and a list of nodes or a dictionary + of nodes to properties as the values. + inplace : bool, default=True + If True, changes the existing. Otherwise, creates a new Hypergraph with the requested changes. + + Returns + ------- + Hypergraph + Hypergraph with the updated edges and their newly added nodes + """ + items = list() + for ed, nodes in edge_dict.items(): + if isinstance(nodes, dict): + for nd, data in nodes.items(): + items.append(((ed, nd), data)) + else: + for nd in nodes: + items.append(((ed, nd), {})) + return self._add_items_from(items, 2, inplace=inplace) + + def add_incidence(self, edge_uid, node_uid, inplace=True, **attr): + """ + Add a single incidence with attributes to Hypergraph. + + Parameters + ---------- + edge_uid : int | str + edge_uid + node_uid : int | str + node_uid + inplace : bool, optional, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + **attr : dict, optional + Properties to add to incidences as key=value pairs. + + Returns + ------- + Hypergraph + Hypergraph with incidences added. + """ + return self._add_items_from([((edge_uid, node_uid), attr)], 2, inplace=inplace) + + def add_incidences_from(self, incidences, inplace=True): + """ + Adds a collection of incidences to Hypergraph + + Parameters + ---------- + incidences: list[str | int, str | int], list[tuple[str | int, str | int, dict[str, Any]] + Incidence pairs must be a list of uids of the form (edge_uid,node_uid) + and/or tuples of the form (edge_uid, node_uid,data) where data is a + dictionary. + inplace : bool, optional, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + + Returns + ------- + Hypergraph + Hypergraph with incidences added. + """ + newincidences = list() + for pr in incidences: + if len(pr) == 2: + newincidences.append((pr, {})) + else: + newincidences.append(((pr[0], pr[1]), pr[2])) + return self._add_items_from(newincidences, 2, inplace=inplace) + + def _add_items_from(self, items, level, inplace=True): + """ + Helper method to add items to Hypergraph + + Parameters + ---------- + items : list[tuple[str | int, dict[str, Any]]] + Items must be a list of tuples of the form (uid,data) where data is dictionary + level : int + the level to add the items to; 0=edges, 1=nodes, 2=incidences + inplace : bool, optional, default=True + If True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. + + Returns + ------- + Hypergraph + """ + df = self.incidences._property_store + ep = self.edges._property_store + ndp = self.nodes._property_store + hv = [ep, ndp, df][level] + for item in items: + uid = item[0] + data = item[1] + hv.set_properties(uid, data) + return self._construct_hyp_from_stores( + df.properties, edge_ps=ep, node_ps=ndp, name=self.name, inplace=inplace ) - def toplexes(self, name=None): + #### This should follow behavior of restrictions + def remove_edges(self, edge_uids, name=None, inplace=True): """ - Returns a :term:`simple hypergraph` corresponding to self. + Removes the edges from the Hypergraph. + If inplace=True, changes the existing Hypergraph. Otherwise, + creates a new Hypergraph with the requested changes. - Warning + Parameters + ---------- + edge_uids : str | int | list[str | int] + edge_uids + name : str, optional, default=None + The name of the new Hypergraph. Used only when inplace=False; + ignored if inplace=True. + inplace : bool, optional, default=True + Whether to replace the current hypergraph with a new one. + + Returns ------- - Collapsing is no longer supported inside the toplexes method. Instead - generate a new collapsed hypergraph and compute the toplexes of the - new hypergraph. + Hypergraph + """ + if not isinstance(edge_uids, list): + edge_uids = [edge_uids] + return self._remove(edge_uids, level=0, name=name, inplace=inplace) + + def remove_nodes(self, node_uids, name=None, inplace=True): + """ + Removes the nodes from the Hypergraph. + If inplace=True, changes the existing Hypergraph. Otherwise, creates a new Hypergraph with the requested changes. Parameters ---------- - name: str, optional, default = None + node_uids : str | int | list[str | int] + node_uids + name : str, optional, default=None + The name of the new Hypergraph. Used only when inplace=False; ignored if inplace=True. + inplace : bool, optional, default=True + Whether to replace the current hypergraph with a new one. + + Returns + ------- + Hypergraph + """ + if not isinstance(node_uids, list): + node_uids = [node_uids] + return self._remove(node_uids, level=1, name=name, inplace=inplace) + + def remove_incidences(self, incidence_uids, name=None, inplace=True): + """ + Removes the incidences from the Hypergraph. + If inplace=True, changes the existing Hypergraph. Otherwise, + creates a new Hypergraph with the requested changes. + + Parameters + ---------- + incidence_uids : tuple[str | int] | list[tuple[str | int]] + incidence_uids + name : str, optional, default=None + The name of the new Hypergraph. Used only when inplace=False; + ignored if inplace=True. + inplace : bool, optional, default=True + Whether to replace the current hypergraph with a new one. + + Returns + ------- + Hypergraph + """ + if not isinstance(incidence_uids, list): + incidence_uids = [incidence_uids] + return self._remove(incidence_uids, name=name, inplace=inplace) + + def _remove(self, uids, level=2, name=None, inplace=False): + """ + Creates a hypergraph with nodes and/or edges indexed by keys removed. + More efficient for creating a restricted hypergraph if the + restricted set is greater than what is being removed. + If inplace=True, changes the existing Hypergraph. + Otherwise, creates a new Hypergraph with the requested changes. + + Parameters + ---------- + uids : list + list of uids from edges, nodes, or incidence pairs(listed as tuples) + level : int, optional, default=2 + Enter 0 to remove edges. + Enter 1 to remove nodes. + Enter 2 to remove incidence pairs as tuples + name : str, optional, default=None + The name of the new Hypergraph. Used only when inplace=False; + ignored if inplace=True. + inplace : bool, default=False + Whether to replace the current hypergraph with the new one. + + Returns + ------- + Hypergraph + + Notes + ----- + Removal of a node or edge from the hypergraph will remove all + instances of these objects from incidence pairs and from the data. + Removal of an incidence pair, only removes that pair but does not + affect the user data attached to the edge and node in the pair. + """ + if inplace: + df = self.incidences.properties + ep = self.edges.property_store + ndp = self.nodes.property_store + else: + df = self.incidences.to_dataframe + ep = self.edges.property_store.copy(deep=True) + ndp = self.nodes.property_store.copy(deep=True) + if level in [0, 1]: + hv = [ep, ndp][level] + df = df.drop(labels=uids, level=level, errors="ignore") + hv._data = hv._data.drop(labels=uids, errors="ignore") + else: + df = df.drop(labels=uids, errors="ignore") + return self._construct_hyp_from_stores( + df, edge_ps=ep, node_ps=ndp, name=name, inplace=inplace + ) + + def toplexes(self, return_hyp=False): """ + Computes a maximal collection of toplexes for the hypergraph. + A :term:`toplex` is a hyperedge, which is not contained in any other + hyperedge. If return_hyp=True, then returns the :term:`simple hypergraph` created by restricting + to the toplexes. - thdict = {} - for e in self.edges: - thdict[e] = self.edges[e] + Parameters + ---------- + return_hyp: bool, optional, default=False - tops = [] - for e in self.edges: - flag = True - old_tops = list(tops) - for top in old_tops: - if set(thdict[e]).issubset(thdict[top]): - flag = False - break + Returns + ------- + Hypergraph | list + """ - if set(thdict[top]).issubset(thdict[e]): - tops.remove(top) - if flag: - tops += [e] - return self.restrict_to_edges(tops, name=name) + def operate(a, b): + return np.mod(np.mod(a * b, 2) + b, 2) + df = self.incidence_dataframe().T + toplexes = [] + while True: + edge_sizes = dict(df.sum(axis=1)) + edges = np.array( + sorted(df.index, key=lambda x: edge_sizes[x], reverse=True) + ) + toplexes.append(edges[0]) + df = df.loc[edges] + mat = df.values + df = df.loc[edges[operate(mat[0], mat).sum(axis=1).nonzero()]] + if len(df.index) == 0: + break + if return_hyp: + return self.restrict_to_edges(toplexes) + return toplexes + + #### hypergraph method using linegraph gotten from incidence store def is_connected(self, s=1, edges=False): """ - Determines if hypergraph is :term:`s-connected `. + Determines if hypergraph is :term:`s-connected`. Parameters ---------- - s: int, optional, default 1 + s: int, optional, default=1 - edges: boolean, optional, default = False + edges: boolean, optional, default=False If True, will determine if s-edge-connected. For s=1 s-edge-connected is the same as s-connected. @@ -1709,33 +2065,34 @@ def remove_singletons(self, name=None): """ Constructs clone of hypergraph with singleton edges removed. + Parameters + ---------- + name : str, optional, default=None + Returns ------- - new hypergraph : Hypergraph - + Hypergraph """ singletons = self.singletons() if len(singletons) > len(self.edges): - E = [e for e in self.edges if e not in singletons] - return self.restrict_to_edges(E, name=name) - else: - return self.remove(singletons, level=0, name=name) + edges = [e for e in self.edges if e not in singletons] + return self.restrict_to_edges(edges, name=name) + return self.remove_edges(singletons, name=name, inplace=False) def s_connected_components(self, s=1, edges=True, return_singletons=False): """ - Returns a generator for the :term:`s-edge-connected components - ` - or the :term:`s-node-connected components ` of the hypergraph. + Returns a generator for the :term:`s-edge-connected component` + or the :term:`s-node-connected component` of the hypergraph. Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 - edges : boolean, optional, default = True - If True will return edge components, if False will return node - components - return_singletons : bool, optional, default = False + edges : boolean, optional, default=True + If True, return edge components; otherwise, return node components + + return_singletons : bool, optional, default=False + If True, keep singletons. Otherwise, remove singletons Notes ----- @@ -1758,9 +2115,9 @@ def s_connected_components(self, s=1, edges=True, return_singletons=False): >>> S = {'A':{1,2,3},'B':{2,3,4},'C':{5,6},'D':{6}} >>> H = Hypergraph(S) - >>> list(H.s_components(edges=True)) + >>> list(H.s_connected_components(edges=True)) [{'C', 'D'}, {'A', 'B'}] - >>> list(H.s_components(edges=False)) + >>> list(H.s_connected_components(edges=False)) [{1, 2, 3, 4}, {5, 6}] Yields @@ -1780,7 +2137,6 @@ def s_component_subgraphs( self, s=1, edges=True, return_singletons=False, name=None ): """ - Returns a generator for the induced subgraphs of s_connected components. Removes singletons unless return_singletons is set to True. Computed using s-linegraph generated either by the hypergraph @@ -1788,15 +2144,16 @@ def s_component_subgraphs( Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 - edges : boolean, optional, edges=False + edges : boolean, optional, default=False Determines if edge or node components are desired. Returns subgraphs equal to the hypergraph restricted to each set of nodes(edges) in the s-connected components or s-edge-connected components - return_singletons : bool, optional - + return_singletons : bool, optional, default=False + If True, keep singletons in subgraph. Otherwise, remove singletons. + name : str, optional, default=None Yields ------ s_component_subgraphs : iterator @@ -1814,7 +2171,7 @@ def s_component_subgraphs( def s_components(self, s=1, edges=True, return_singletons=True): """ - Same as s_connected_components + Same as :meth:`s_connected_components` See Also -------- @@ -1856,7 +2213,7 @@ def components(self, edges=False): -------- s_connected_components """ - return self.s_connected_components(s=1, edges=edges) + return self.s_connected_components(s=1, edges=edges, return_singletons=True) def component_subgraphs(self, return_singletons=False, name=None): """ @@ -1872,15 +2229,20 @@ def component_subgraphs(self, return_singletons=False, name=None): def node_diameters(self, s=1): """ - Returns the node diameters of the connected components in hypergraph. + Returns the node diameters of the connected components in the hypergraph. Parameters ---------- - list of the diameters of the s-components and - list of the s-component nodes + s : int, optional, default=1 + + Returns + ------- + maximum diameter, list of diameters, list of component : tuple[int, list, list] + maximum diameter, list of diameters (List of node_diameters for s-node component subgraphs in hypergraph), + list of component (List of the node uids in the s-node component subgraphs) """ A, coldict = self.adjacency_matrix(s=s, index=True) - G = nx.from_scipy_sparse_matrix(A) + G = nx.from_scipy_sparse_array(A) diams = [] comps = [] for c in nx.connected_components(G): @@ -1895,26 +2257,20 @@ def node_diameters(self, s=1): def edge_diameters(self, s=1): """ - Returns the edge diameters of the s_edge_connected component subgraphs - in hypergraph. + Returns the edge diameters of the s_edge_connected component subgraphs in the hypergraph. Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 Returns ------- - maximum diameter : int - - list of diameters : list - List of edge_diameters for s-edge component subgraphs in hypergraph - - list of component : list - List of the edge uids in the s-edge component subgraphs. - + maximum diameter, list of diameters, list of component : tuple[int, list, list] + maximum diameter, list of diameters (List of edge_diameters for s-edge component subgraphs in hypergraph), + list of component (List of the edge uids in the s-edge component subgraphs) """ A, coldict = self.edge_adjacency_matrix(s=s, index=True) - G = nx.from_scipy_sparse_matrix(A) + G = nx.from_scipy_sparse_array(A) diams = [] comps = [] for c in nx.connected_components(G): @@ -1934,7 +2290,7 @@ def diameter(self, s=1): Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 Returns ------- @@ -1952,23 +2308,21 @@ def diameter(self, s=1): sequence of nodes v_start, v_1, v_2, ... v_n-1, v_end such that consecutive nodes are s-adjacent. If the graph is not connected, an error will be raised. - """ - A = self.adjacency_matrix(s=s) - G = nx.from_scipy_sparse_matrix(A) - if nx.is_connected(G): - return nx.diameter(G) + adj_matrix = self.adjacency_matrix(s=s) + graph = nx.from_scipy_sparse_array(adj_matrix) + if nx.is_connected(graph): + return nx.diameter(graph) raise HyperNetXError(f"Hypergraph is not s-connected. s={s}") def edge_diameter(self, s=1): """ - Returns the length of the longest shortest s-walk between edges in - hypergraph + Returns the length of the longest shortest :term:`s-walk` between edges in the hypergraph Parameters ---------- - s : int, optional, default 1 + s : int, optional, default=1 Return ------ @@ -1989,7 +2343,7 @@ def edge_diameter(self, s=1): """ A = self.edge_adjacency_matrix(s=s) - G = nx.from_scipy_sparse_matrix(A) + G = nx.from_scipy_sparse_array(A) if nx.is_connected(G): return nx.diameter(G) @@ -1997,18 +2351,17 @@ def edge_diameter(self, s=1): def distance(self, source, target, s=1): """ - Returns the shortest s-walk distance between two nodes in the - hypergraph. + Returns the shortest :term:`s-walk` distance between two nodes in the hypergraph. Parameters ---------- - source : node.uid or node + source : str | int a node in the hypergraph - target : node.uid or node + target : str | int a node in the hypergraph - s : positive integer + s : positive int, optional, default=1 the number of edges Returns @@ -2040,31 +2393,25 @@ def distance(self, source, target, s=1): return dist def edge_distance(self, source, target, s=1): - """XX TODO: still need to return path and translate into user defined - nodes and edges Returns the shortest s-walk distance between two edges - in the hypergraph. + """ + Returns the shortest :term:`s-walk` distance between two edges in the hypergraph. Parameters ---------- - source : edge.uid or edge + source : str | int an edge in the hypergraph - target : edge.uid or edge + target : str | int an edge in the hypergraph - s : positive integer + s : positive int, optional, default=1 the number of intersections between pairwise consecutive edges - TODO: add edge weights - weight : None or string, optional, default = None - if None then all edges have weight 1. If string then edge attribute - string is used if available. - Returns ------- - s- walk distance : the shortest s-walk edge distance - A shortest s-walk is computed as a sequence of edges, + s-walk distance : int | float + The shortest s-walk edge distance. A shortest s-walk is computed as a sequence of edges; the s-walk distance is the number of edges in the sequence minus 1. If no such path exists returns np.inf. @@ -2082,7 +2429,6 @@ def edge_distance(self, source, target, s=1): Uses the networkx shortest_path_length method on the graph generated by the s-edge_adjacency matrix. - """ g = self.get_linegraph(s=s, edges=True) try: @@ -2093,44 +2439,14 @@ def edge_distance(self, source, target, s=1): return edge_dist - def incidence_dataframe( - self, sort_rows=False, sort_columns=False, cell_weights=True - ): - """ - Returns a pandas dataframe for hypergraph indexed by the nodes and - with column headers given by the edge names. - - Parameters - ---------- - sort_rows : bool, optional, default =True - sort rows based on hashable node names - sort_columns : bool, optional, default =True - sort columns based on hashable edge names - cell_weights : bool, optional, default =True - - """ - - ## An entity dataframe is already an incidence dataframe. - df = self.E.dataframe.pivot( - index=self.E._data_cols[1], - columns=self.E._data_cols[0], - values=self.E._cell_weight_col, - ).fillna(0) - - if sort_rows: - df = df.sort_index("index") - if sort_columns: - df = df.sort_index("columns") - if not cell_weights: - df[df > 0] = 1 - - return df - + #### Needs to create stores then hypergraph. @classmethod - @warn_nwhy - def from_bipartite(cls, B, set_names=("edges", "nodes"), name=None, **kwargs): + #### Need to preserve graph properties in data + def from_bipartite(cls, B, node_id=1, name=None, **kwargs): """ - Static method creates a Hypergraph from a bipartite graph. + Static method creates a Hypergraph from a NetworkX bipartite graph. + Still to come: capturing edge and node properties from the graph for use + in the hypergraph. Parameters ---------- @@ -2140,15 +2456,15 @@ def from_bipartite(cls, B, set_names=("edges", "nodes"), name=None, **kwargs): 'bipartite' taking the value of 0 or 1 indicating a 2-coloring of the graph. - set_names: iterable of length 2, optional, default = ['edges','nodes'] - Category names assigned to the graph nodes associated to each - bipartite set + node_id : int + bipartite value assigned to graph nodes that will be hypergraph + edges name: hashable, optional Returns ------- - : Hypergraph + Hypergraph Notes ----- @@ -2158,19 +2474,16 @@ def from_bipartite(cls, B, set_names=("edges", "nodes"), name=None, **kwargs): >>> B = nx.Graph() >>> B.add_nodes_from([1, 2, 3, 4], bipartite=0) >>> B.add_nodes_from(['a', 'b', 'c'], bipartite=1) - >>> B.add_edges_from([(1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), / - (3, 'c'), (4, 'a')]) - >>> H = Hypergraph.from_bipartite(B) - >>> H.nodes, H.edges - # output: (EntitySet(_:Nodes,[1, 2, 3, 4],{}), / - # EntitySet(_:Edges,['b', 'c', 'a'],{})) - + >>> B.add_edges_from([(1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), (3, 'c'), (4, 'a')]) + >>> H = Hypergraph.from_bipartite(B, nodes=1) + >>> list(H.nodes), list(H.edges) + (['a', 'b', 'c'], [1, 2, 3, 4]) """ edges = [] nodes = [] for n, d in B.nodes(data=True): - if d["bipartite"] == 1: + if d["bipartite"] == node_id: nodes.append(n) else: edges.append(n) @@ -2186,49 +2499,38 @@ def from_bipartite(cls, B, set_names=("edges", "nodes"), name=None, **kwargs): elist.append([e[0], e[1]]) else: elist.append([e[1], e[0]]) - df = pd.DataFrame(elist, columns=set_names) + df = pd.DataFrame(elist) return Hypergraph(df, name=name, **kwargs) @classmethod def from_incidence_matrix( cls, M, - node_names=None, - edge_names=None, - node_label="nodes", - edge_label="edges", name=None, - key=None, **kwargs, ): """ - Same as from_numpy_array. + Accepts numpy.matrix or scipy.sparse matrix """ - return Hypergraph.from_numpy_array( - M, - node_names=node_names, - edge_names=edge_names, - node_label=node_label, - edge_label=edge_label, - name=name, - key=key, - ) + mat = coo_matrix(M) + edges = mat.col + nodes = mat.row + weights = mat.data + df = pd.DataFrame({"edges": edges, "nodes": nodes, "weights": weights}) + return Hypergraph(df, cell_weight_col="weights", name=name, **kwargs) @classmethod - @warn_nwhy def from_numpy_array( cls, M, node_names=None, edge_names=None, - node_label="nodes", - edge_label="edges", name=None, key=None, **kwargs, ): """ - Create a hypergraph from a real valued matrix represented as a 2 dimensionsl numpy array. + Create a hypergraph from a real valued matrix represented as a 2 dimensional numpy array. The matrix is converted to a matrix of 0's and 1's so that any truthy cells are converted to 1's and all others to 0's. @@ -2295,18 +2597,11 @@ def from_numpy_array( return Hypergraph.from_incidence_dataframe(df, name=name) @classmethod - @warn_nwhy def from_incidence_dataframe( cls, df, - columns=None, - rows=None, - edge_col: str = "edges", - node_col: str = "nodes", name=None, fillna=0, - transpose=False, - transforms=[], key=None, return_only_dataframe=False, **kwargs, @@ -2321,31 +2616,12 @@ def from_incidence_dataframe( df : Pandas.Dataframe a real valued dataframe with a single index - columns : (optional) list, default = None - restricts df to the columns with headers in this list. - - rows : (optional) list, default = None - restricts df to the rows indexed by the elements in this list. - name : (optional) string, default = None fillna : float, default = 0 a real value to place in empty cell, all-zero columns will not generate an edge. - transpose : (optional) bool, default = False - option to transpose the dataframe, in this case df.Index will - identify the edges and df.columns will identify the nodes, transpose is - applied before transforms and key - - transforms : (optional) list, default = [] - optional list of transformations to apply to each column, - of the dataframe using pd.DataFrame.apply(). - Transformations are applied in the order they are - given (ex. abs). To apply transforms to rows or for additional - functionality, consider transforming df using pandas.DataFrame - methods prior to generating the hypergraph. - key : (optional) function, default = None boolean function to be applied to dataframe. will be applied to entire dataframe. @@ -2361,24 +2637,14 @@ def from_incidence_dataframe( Returns ------- - : Hypergraph - + Hypergraph | pd.DataFrame """ if not isinstance(df, pd.DataFrame): raise HyperNetXError("Error: Input object must be a pandas dataframe.") - if columns: - df = df[columns] - if rows: - df = df.loc[rows] - df = df.fillna(fillna) - if transpose: - df = df.transpose() - for t in transforms: - df = df.apply(t) if key: mat = key(df.values) * 1 else: @@ -2393,14 +2659,152 @@ def from_incidence_dataframe( c2 = [cols[c2[idx]] for idx in range(len(c2))] c3 = CM.data - dfnew = pd.DataFrame({edge_col: c2, node_col: c1, "cell_weights": c3}) - if return_only_dataframe == True: + dfnew = pd.DataFrame({"edges": c2, "nodes": c1, "weight": c3}) + if return_only_dataframe is True: return dfnew else: - return Hypergraph( - dfnew, - edge_col=edge_col, - node_col=node_col, - weights="cell_weights", - name=None, - ) + return Hypergraph(dfnew, cell_weight_col="weight", name=name, **kwargs) + + def __add__(self, other): + """ + Concatenate incidences from two hypergraphs, removing duplicates and + dropping duplicate property data in the order of addition. + + Parameters + ---------- + other : Hypergraph + + Returns + ------- + Hypergraph + + """ + return self.sum(other) + + def __sub__(self, other): + """ + Concatenate incidences from two hypergraphs, removing duplicates and + dropping duplicate property data in the order of addition. + + Parameters + ---------- + other : Hypergraph + + Returns + ------- + Hypergraph + + """ + return self.difference(other) + + def sum(self, other, name=None): + """ + Hypergraph obtained by joining incidences from self and other. + Removes duplicates and uses properties of self. + + Parameters + ---------- + other : Hypergraph + + Returns + ------- + Hypergraph + + """ + incidence_df = self._combine_properties_dataframes( + self.incidences.to_dataframe, other.incidences.to_dataframe + ) + edges_data = self._combine_properties_dataframes( + self.edges.to_dataframe, other.edges.to_dataframe + ) + nodes_data = self._combine_properties_dataframes( + self.nodes.to_dataframe, other.nodes.to_dataframe + ) + + return self._construct_hyp_from_stores( + incidence_df, + edge_ps=PropertyStore(edges_data), + node_ps=PropertyStore(nodes_data), + name=name, + ) + + def _combine_properties_dataframes(self, df1, df2): + df = pd.concat([df1, df2]) + return df[~df.index.duplicated(keep="first")] + + def difference(self, other, name=None): + """ + Hypergraph obtained by restricting to incidences in self but not in other. + + Parameters + ---------- + other : Hypergraph + name : str, optional, default = None + + Returns + ------- + Hypergraph + """ + ndx = list(self.incidences.items.difference(other.incidences.items)) + ndf = self.incidences.to_dataframe.loc[ndx] + return self._construct_hyp_from_stores(ndf, name=name) + + def intersection(self, other, name=None): + """ + Returns a hypergraph created by restricting to incidence pairs contained in both self and other. + Properties inherited from self. + + Parameters + ---------- + other : Hypergraph + name : str, optional, default=None + + Returns + ------- + Hypergraph + """ + nodes_intersection = list( + self.incidences.items.intersection(other.incidences.items) + ) + incidence_df = self.incidences.to_dataframe.loc[nodes_intersection] + return self._construct_hyp_from_stores(incidence_df, name=name) + + def union(self, other, name=None): + """ + The hypergraph gotten by joining incidence pairs contained in + self and other. Duplicates removed. Properties inherited from self. + Same as :meth:`sum` + + Parameters + ---------- + other : Hypergraph + name : str, optional, default=None + + Returns + ------- + Hypergraph + """ + return self.sum(other, name=name) + + +def _agg_rows(df, groupby, rule_dict=None): + """ + Helper method for collapsing nodes and edges in hypergraph + + Parameters + ---------- + df : pandas.DataFrame + groupby : index or columns aggregating on + rule_dict : dict, optional, defaults as 'first' for all keys + dictionary keyed by df columns where values are the + aggregation rules e.g. 'first', 'sum', 'last' + + Returns + ------- + pandas.DataFrame + """ + default_agg = {col: "first" for col in df.columns} + for k, v in rule_dict.items(): + if k in default_agg: + default_agg[k] = v + return df.reset_index().groupby(groupby).agg(default_agg) diff --git a/hypernetx/classes/incidence_store.py b/hypernetx/classes/incidence_store.py new file mode 100644 index 00000000..1aaccfc4 --- /dev/null +++ b/hypernetx/classes/incidence_store.py @@ -0,0 +1,243 @@ +# Copyright © 2024 Battelle Memorial Institute +# All rights reserved. +from __future__ import annotations + +import pandas as pd +from scipy.sparse import csr_matrix +from collections import defaultdict +import numpy as np + +__all__ = ["IncidenceStore"] + + +class IncidenceStore: + """ + Incidence store object that stores and accesses (multi) incidences with standard methods. + + Parameters + ---------- + data : Two column pandas dataframe of edges and nodes, respectively. + """ + + def __init__(self, data): + """ + Initiate data in self as the two column pandas dataframe provided through factory method. + + """ + # initiate self with data (pandas dataframe) with duplicate incidence pairs removed. + self._data = data + self._elements = data.groupby("edges").agg(list).to_dict()["nodes"] + self._memberships = data.groupby("nodes").agg(list).to_dict()["edges"] + + @property + def data(self): + return self._data.copy(deep=True) + + @property + def elements(self): + return self._elements + + @property + def memberships(self): + return self._memberships + + @property + def dimensions(self): + """ + The number of distinct edges and nodes in that order + + Returns + ------- + tuple of ints + Tuple of size two of (number of unique edges, number of unique nodes). + """ + return (len(self._elements), len(self._memberships)) + + @property + def edges(self): + """ + Returns an array of edge names from the incidence pairs + + Returns + ------- + array + Returns an array of edge names + """ + return list(self._data["edges"].unique()) + + @property + def nodes(self): + """ + Returns an array of node names from the incidence pairs + + Returns + ------- + array + Returns an array of node names + """ + return list(self._data["nodes"].unique()) + + def __iter__(self): + """ + Iterator over the incidence pairs of the hypergraph + + Returns + ------- + iter of tuples + Iterator over incidence pairs (tuples) in the hypergraph. + """ + # itertuples provides iterator over rows in a dataframe + # with index as false to not return index + # and name as None to return a standard tuple. + return self._data.itertuples(index=False, name=None) + + def __len__(self): + """ + Total number of incidences + + Returns + ------- + int + Number of incidence pairs in the hypergraph. + """ + + return len(self._data) + + def __contains__(self, incidence_pair): + """ + Checks if an incidence pair exists in the incidence pairs dataframe. + First, this checks if the incidence pair is of length two. + Then, it checks if it exists in the incidence pairs. + + Parameters + ---------- + incidence_pair : tuple + Incidence pair that is a tuple (or array-like object; e.g., list or array) of length two. + + Returns + ------- + bool + True if incidence pair exists in incidence store. + """ + # df = self._data + + # #verify the incidence pair is of length two. Otherwise, pair does not exist. + # if len(incidence_pair) == 2: + # node, edge = incidence_pair[0], incidence_pair[1] + # # check if first element in pair (node) exists in 'nodes' column anywhere + # # and check if second element of pair (edge) exists in 'edges' column anywhere. + # does_contain = ((df['nodes'] == node) & (df['edges'] == edge)).any() + # return does_contain + # else: + # return False + + # Numpy's __contains__ method does not work on non-scalars + # see https://github.com/numpy/numpy/issues/3016 + # This implementation is workaround on numpy's __contains__ issue until it is resolved + store = [tuple(pair) for pair in self._data.values.tolist()] + return any(incidence_pair == pair for pair in store) + + def neighbors(self, level, key): + """ + Returns elements or memberships depending on level. + + Parameters + ---------- + level : int + Level indicator for finding either elements or memberships. + For level 0 (elements), returns nodes in the edge. + For level 1 (memberships), returns edges containing the node. + key : int or str + Name of node or edge depending on level. + + Returns + ------- + list + Elements or memberships (depending on level) of a given edge or node, respectively. + """ + + if level == 0: + return self._elements.get(key, []) + elif level == 1: + return self._memberships.get(key, []) + else: + return [] + + def restrict_to(self, level, items, inplace=False): + ### TODO if inplace == True the constructor's attributes need to be + ### adjusted. + + """ + returns IncidenceStore of subset of incidence store restricted + to pairs with items in the given level + Will return with same data or deepcopy depending on inplace + + Parameters + ---------- + level : int + Level indicator for finding either elements or memberships. + For level 0 (elements), returns nodes in the edge. + For level 1 (memberships), returns edges containing the node. + items : list + List of uids to be removed from level + inplace : bool, optional + whether to replace self, by default False + + Returns + ------- + list + subset of incidence store given a restriction. + """ + if level == 0: + column = "edges" + elif level == 1: + column = "nodes" + else: + raise ValueError("Invalid level provided. Must be 0 or 1.") + + if inplace: + self._data.drop( + self._data[~self._data[column].isin(items)].index, inplace=True + ) + return self._data + + else: # return a subset without editing the original dataframe. + df = self._data + return df[df[column].isin(items)] + + def equivalence_classes(self, level=0): + if level == 0: + old_dict = self._elements + elif level == 1: + old_dict = self._memberships + else: + return None + + temp = defaultdict(list) + for k, v in old_dict.items(): + temp[frozenset(v)] += [k] + return list(temp.values()) + + def collapse_identical_elements(self, level, use_keys=None): + if level == 0: + col = "edges" + elif level == 1: + col = "nodes" + else: + return None + + eclasses = self.equivalence_classes(level=level) + if use_keys == None: + edict = {ec[0]: ec for ec in eclasses} + else: + edict = dict() + for ec in eclasses: + klist = list(set(use_keys).intersection(ec)) + if len(klist) > 0: + k = klist[0] + else: + k = ec[0] + ec.remove(k) + edict[k] = [k] + ec + df = self._data.loc[self._data[col].isin(edict.keys())] + return df, edict diff --git a/hypernetx/classes/property_store.py b/hypernetx/classes/property_store.py new file mode 100644 index 00000000..af787c90 --- /dev/null +++ b/hypernetx/classes/property_store.py @@ -0,0 +1,306 @@ +from typing import Any +from copy import deepcopy +from pandas import DataFrame + + +UID = "uid" +WEIGHT = "weight" +MISC_PROPERTIES = "misc_properties" +DEFAULT_PROPERTIES = [WEIGHT, MISC_PROPERTIES] + + +class PropertyStore: + """Class for storing properties of a collection of edges, nodes, or incidences. + + Properties will be stored in a pandas dataframe. + + """ + + def __init__(self, data=None, default_weight=1): + """ + Parameters + ---------- + data: DataFrame + optional parameter that holds the properties data in a Dataframe or MultiIndex Dataframe of the following shape + + DataFrame index is uid of objects. + + Example of dataframe (uid is set as the index): + + uid | weight | misc_properties | | ... + | 1.0 | {} | | ... + + uid | weight | misc_properties | | ... + | 1.0 | {} | | ... + + Example of multiIndex dataframe (edgeid and nodeid are set as the multiIndex): + + edges | node | weight | misc_properties | | ... + | | 1.0 | {} | | ... + | | 1.5 | {} | | ... + | | 1.0 | {} | | ... + | | 1.0 | {} | | ... + + default_weight: int | float + optional parameter that holds the specified default weight of the weight property + """ + # If no dataframe is provided, create an empty dataframe + if data is None: + self._data: DataFrame = DataFrame(columns=[UID, WEIGHT, MISC_PROPERTIES]) + self._data.set_index(UID, inplace=True) + else: + self._data: DataFrame = data + + self._default_weight: int | float = default_weight + self._columns = self._data.columns.tolist() + self._defaults = {col: None for col in self._columns} + self._defaults.update({WEIGHT: self._default_weight, MISC_PROPERTIES: {}}) + + @property + def properties(self) -> DataFrame: + """Properties assigned to all items in the underlying data table + + Returns + ------- + pandas.DataFrame + a dataframe with the following columns: + uid, weight, properties, + or + level, id, weight, properties, + """ + return self._data + + @property + def default_properties(self) -> dict: + """ + Returns copy of default dictionary of properties + + Returns + ------- + dict + Dictionary of properties automatically given to objects either + in the property store if no user defined values have been + assigned to them or objects that have not yet been added to + the Property Store. + """ + return deepcopy(self._defaults) + + def get_properties(self, uid) -> dict: + """Get all properties of an item + + Parameters + ---------- + uid: Hashable + uid is the index used to fetch all its properties + + Returns + ------- + dict + Output dictionary containing all properties of the uid. + ``{named property: property value, ..., + properties: {property name: property value}}`` + + See Also + -------- + get_property, set_property + """ + # if the item is not in the data table, return defaults for properties + if uid not in self._data.index: + return self.default_properties + return flatten(self._data.loc[uid].to_dict()) + + def get_property(self, uid, prop_name) -> Any: + """Get a property of an item + + Parameters + ---------- + uid: Hashable + uid is the index used to fetch its property + + prop_name : str | int + name of the property to get + + Returns + ------- + out : Any + value of the property + + None + if property not found + + See Also + -------- + get_properties, set_property + """ + # if the item is in the data table and the property is 'misc_properties' + # return 'misc_properties' + if uid in self._data.index and prop_name == MISC_PROPERTIES: + return self._data.loc[uid][MISC_PROPERTIES] + return self.get_properties(uid).get(prop_name, None) + + def set_properties(self, uid, props) -> None: + """ + Parameters + ---------- + uid : Hashable + uid is the index used to set its property + props : a dictionary containing user-defined properties + + Returns + ------- + None + + See Also + -------- + get_property, get_properties, set_property + """ + if uid not in self._data.index: + self._data.loc[uid, :] = self.default_properties + + for prop_name, prop_val in props.items(): + self._set_property(uid, prop_name, prop_val) + + def set_property(self, uid, prop_name, prop_val) -> None: + """Set a property of an item in the 'properties' collection + + Parameters + ---------- + uid : Hashable + uid is the index used to set its property + prop_name : str | int + name of the property to set + prop_val : any + value of the property to set + + Returns + ------- + None + + See Also + -------- + get_property, get_properties, set_properties + """ + # if the uid is not present, add the uid with default properties to the dataframe + if uid not in self._data.index: + self._data.loc[uid, :] = self.default_properties + self._set_property(uid, prop_name, prop_val) + + def _set_property(self, uid, prop_name, prop_val): + """Updates a property of an item in the underlying data table + + Parameters + ---------- + uid : Hashable + uid is the index used to set its property + prop_name : str | int + name of the property to set + prop_val : any + value of the property to set + + Raises + ------ + KeyError + If (`uid`) is not in the underlying data table + """ + # Holds the logic on how new properties are added to the dataframe for existing items + # Currently supports updating existing properties and adding a property to the misc_properties + # A potential feature is adding a common property to a subset of items + if prop_name in self._columns: + # overwrite the current property with the updated property + self._data.at[uid, prop_name] = prop_val + else: + # if the property to be added is not one of existing properties, + # add the unique property to 'misc_properties' + self._data.at[uid, MISC_PROPERTIES].update({prop_name: prop_val}) + + def set_defaults(self, defaults) -> None: + """ + Set default values for properties + + Parameters + ---------- + defaults: dict + + Returns + ------- + None + """ + self._defaults.update(defaults) + new_cols = [] + for k, v in defaults.items(): + if k in self._columns: + self._data.fillna({k: v}) + else: + + def grabprop(cell): + return cell.get(k, v) + + self._data[k] = self._data["misc_properties"].map(grabprop) + new_cols.append(k) + self._columns = list(self._columns[:-1]) + new_cols + ["misc_properties"] + self._data = self._data[self._columns] + self._default_weight = self._defaults["weight"] + + def __getitem__(self, uid) -> dict: + """Gets all the properties of an item + + This magic method has the same behavior as get_properties; in fact, it calls the method + get_properties. + + This magic method allows the use of brackets to get an item from an instance of PropertyStore + + For example: + + ps = PropertyStore(data=data) + + node = ps["493hg9"] + same_node = ps.get_properties("493hg9") + + assert node = same_node + + """ + return self.get_properties(uid) + + def __contains__(self, uid) -> bool: + """Checks if the item is present in the data table""" + return uid in self._data.index + + def copy(self, deep=False): + """ + Create a copy of the PropertyStore. If deep=True, create a copy of the underlying data table. + Otherwise, use the same underlying data table from the original PropertyStore + + Parameters + ---------- + deep: bool, optional, default=False + + Returns + ------- + PropertyStore + """ + data = self._data.copy(deep=deep) + if deep: + temp = [deepcopy(d) for d in data.misc_properties.values] + data["misc_properties"] = temp + return PropertyStore(data, default_weight=self._default_weight) + + +def flatten(my_dict): + """ + Recursive method to flatten dictionary for returning properties as + a dictionary instead of a Series, from https://stackoverflow.com/a/71952620 + """ + result = {} + for key, value in my_dict.items(): + if isinstance(value, dict): + temp = flatten(value) + # if temp is an empty dictionary, we still want to include the empty dictionary in the + # flattened dictionary + # example: { 'foo': 'bar', 'snafu': {} } + if temp == dict(): + temp = {key: temp} + temp.update(result) + result = temp + else: + result[key] = value + return result diff --git a/hypernetx/classes/tests/conftest.py b/hypernetx/classes/tests/conftest.py deleted file mode 100644 index b37a0322..00000000 --- a/hypernetx/classes/tests/conftest.py +++ /dev/null @@ -1,436 +0,0 @@ -import pytest -import os -import itertools as it -import networkx as nx -import pandas as pd -import numpy as np - -from hypernetx import Hypergraph, HarryPotter, EntitySet, LesMis as LM -from hypernetx.classes.helpers import create_dataframe - -from collections import OrderedDict, defaultdict - - -class SevenBySix: - """Example hypergraph with 7 nodes and 6 edges.""" - - def __init__(self, static=False): - a, c, e, k, t1, t2, v = nd = ("A", "C", "E", "K", "T1", "T2", "V") - i, l, o, p, r, s = ("I", "L", "O", "P", "R", "S") - self.edges = [{a, c, k}, {a, e}, {a, k, t2, v}, {c, e}, {t1, t2}, {k, t2}] - self.nodes = set(nd) - self.edgedict = OrderedDict( - [ - (p, {a, c, k}), - (r, {a, e}), - (s, {a, k, t2, v}), - (l, {c, e}), - (o, {t1, t2}), - (i, {k, t2}), - ] - ) - - self.arr = np.array( - [ - [0, 0, 0, 1, 0, 1, 0], - [0, 1, 1, 0, 0, 0, 0], - [0, 0, 0, 0, 1, 1, 0], - [1, 1, 0, 1, 0, 0, 0], - [1, 0, 1, 0, 0, 0, 0], - [1, 0, 0, 1, 0, 1, 1], - ] - ) - self.labels = OrderedDict( - [ - ("edges", [i, l, o, p, r, s]), - ("nodes", [a, c, e, k, t1, t2, v]), - ] - ) - - self.data = np.array( - [ - [3, 0], - [3, 1], - [3, 3], - [4, 0], - [4, 2], - [5, 0], - [5, 3], - [5, 5], - [5, 6], - [1, 1], - [1, 2], - [2, 4], - [2, 5], - [0, 3], - [0, 5], - ] - ) - - self.dataframe = create_dataframe(self.edgedict) - - -class TriLoop: - """Example hypergraph with 2 two 1-cells and 1 2-cell forming a loop""" - - def __init__(self): - A, B, C, D = "A", "B", "C", "D" - AB, BC, ACD = "AB", "BC", "ACD" - self.edgedict = {AB: {A, B}, BC: {B, C}, ACD: {A, C, D}} - self.hypergraph = Hypergraph(self.edgedict, name="TriLoop") - - -class TriLoop2: - """Triloop example with redundant node and edge""" - - def __init__(self): - A, B, C, D, E = "A", "B", "C", "D", "E" - AB, BC, ACD, ACD2 = "AB", "BC", "ACD", "ACD2" - self.edgedict = {AB: {A, B}, BC: {B, C}, ACD: {A, C, D, E}, ACD2: {A, C, D, E}} - self.hypergraph = Hypergraph(self.edgedict, name="TriLoop2") - - -class SBSDupes: - def __init__(self): - self.edgedict = OrderedDict( - [ - ("I", {"K", "T2"}), - ("L", {"C", "E", "F"}), - ("M", {"C", "E", "F"}), - ("O", {"T1", "T2"}), - ("P", {"A", "C", "K"}), - ("R", {"A", "E", "F"}), - ("S", {"A", "K", "T2", "V"}), - ] - ) - - self.dataframe = create_dataframe(self.edgedict) - - -class LesMis: - def __init__(self): - self.edgedict = OrderedDict( - [ - (1, {"CL", "CV", "GE", "GG", "MB", "MC", "ME", "MY", "NP", "SN"}), - (2, {"IS", "JL", "JV", "MB", "ME", "MR", "MT", "MY", "PG"}), - (3, {"BL", "DA", "FA", "FN", "FT", "FV", "LI", "ZE"}), - (4, {"CO", "FN", "TH", "TM"}), - (5, {"BM", "FF", "FN", "JA", "JV", "MT", "MY", "VI"}), - (6, {"FN", "JA", "JV"}), - ( - 7, - { - "BM", - "BR", - "CC", - "CH", - "CN", - "FN", - "JU", - "JV", - "PO", - "SC", - "SP", - "SS", - }, - ), - (8, {"FN", "JA", "JV", "PO", "SP", "SS"}), - ] - ) - self.hypergraph = Hypergraph(self.edgedict) - - -class Dataframe: - def __init__(self): - fname = os.path.join(os.path.dirname(__file__), "sample.csv") - self.df = pd.read_csv(fname, index_col=0) - - -class CompleteBipartite: - def __init__(self, n1, n2): - self.g = nx.complete_bipartite_graph(n1, n2) - self.left, self.right = nx.bipartite.sets(self.g) - - -@pytest.fixture -def props_dataframe(): - multi_index = pd.MultiIndex.from_tuples([(0, "P")], names=["level", "id"]) - data = { - "properties": [{"prop1": "propval1", "prop2": "propval2"}], - } - return pd.DataFrame(data, index=multi_index) - - -@pytest.fixture -def cell_props_dataframe_multidx(): - multi_index = pd.MultiIndex.from_tuples([("P", "A"), ("P", "C")], names=[0, 1]) - data = { - "cell_properties": [ - {"prop1": "propval1", "prop2": "propval2"}, - {"prop1": "propval1", "prop2": "propval2"}, - ] - } - - return pd.DataFrame(data, index=multi_index) - - -@pytest.fixture -def cell_props_dataframe(): - data = { - 0: ["P", "P"], - 1: ["A", "C"], - "cell_properties": [ - {"prop1": "propval1", "prop2": "propval2"}, - {"prop1": "propval1", "prop2": "propval2"}, - ], - } - return pd.DataFrame(data) - - -@pytest.fixture -def sbs(): - return SevenBySix() - - -@pytest.fixture -def sbs_dataframe(sbs): - return sbs.dataframe - - -@pytest.fixture -def sbs_dict(sbs): - return sbs.edgedict - - -@pytest.fixture -def sbs_data(sbs): - return np.asarray(sbs.data) - - -@pytest.fixture -def sbs_labels(sbs): - return sbs.labels - - -@pytest.fixture -def triloop(): - return TriLoop() - - -@pytest.fixture -def triloop2(): - return TriLoop2() - - -@pytest.fixture -def sbs_hypergraph(sbs): - return Hypergraph(sbs.edgedict, name="sbsh", edge_col="edges", node_col="nodes") - - -@pytest.fixture -def sbs_graph(sbs): - edges = set() - for _, e in sbs.edgedict.items(): - edges.update(it.combinations(e, 2)) - G = nx.Graph(name="sbsg") - G.add_edges_from(edges) - return G - - -@pytest.fixture -def sbsd(): - return SBSDupes() - - -@pytest.fixture -def sbsd_hypergraph(): - sbsd = SBSDupes() - return Hypergraph(sbsd.edgedict) - - -@pytest.fixture -def lesmis(): - return LesMis() - - -@pytest.fixture -def G(): - return nx.karate_club_graph() - - -@pytest.fixture -def H(): - G = nx.karate_club_graph() - return Hypergraph({f"e{i}": e for i, e in enumerate(G.edges())}) - - -@pytest.fixture -def bipartite_example(): - from networkx.algorithms import bipartite - - return bipartite.random_graph(10, 5, 0.4, 0) - - -@pytest.fixture -def complete_bipartite_example(): - return CompleteBipartite(2, 3).g - - -@pytest.fixture -def dataframe(): - return Dataframe() - - -@pytest.fixture -def dataframe_example(): - """NOTE: Do not use this dataframe as an input for 'entity' when creating an EntitySet object""" - M = np.array([[1, 1, 0, 0], [0, 1, 1, 0], [1, 0, 1, 0]]) - index = ["A", "B", "C"] - columns = ["a", "b", "c", "d"] - return pd.DataFrame(M, index=index, columns=columns) - - -@pytest.fixture -def harry_potter(): - return HarryPotter() - - -@pytest.fixture -def array_example(): - return np.array( - [[0, 1, 1, 0, 1], [1, 1, 1, 1, 1], [1, 0, 0, 1, 0], [0, 0, 0, 0, 1]] - ) - - -####################Fixtures suite for test_hypergraph.py#################### -####################These fixtures are modular and thus have inter-dependencies#################### -@pytest.fixture -def les_mis(): - return LM() - - -@pytest.fixture -def scenes(): - return { - "0": ("FN", "TH"), - "1": ("TH", "JV"), - "2": ("BM", "FN", "JA"), - "3": ("JV", "JU", "CH", "BM"), - "4": ("JU", "CH", "BR", "CN", "CC", "JV", "BM"), - "5": ("TH", "GP"), - "6": ("GP", "MP"), - "7": ("MA", "GP"), - } - - -@pytest.fixture -def edges(scenes): - return list(set(list(scenes.keys()))) - - -@pytest.fixture -def nodes(scenes): - return list(set(list(np.concatenate([v for v in scenes.values()])))) - - -@pytest.fixture -def edge_properties(edges): - edge_properties = defaultdict(dict) - edge_properties.update( - {str(ed): {"weight": np.random.randint(2, 10)} for ed in range(0, 8, 2)} - ) - for ed in edges: - edge_properties[ed].update({"color": np.random.choice(["red", "green"])}) - return edge_properties - - -@pytest.fixture -def node_properties(les_mis, nodes): - return { - ch: { - "FullName": les_mis.dnames.loc[ch].FullName, - "Description": les_mis.dnames.loc[ch].Description, - "color": np.random.choice(["pink", "blue"]), - } - for ch in nodes - } - - -@pytest.fixture -def scenes_dataframe(scenes): - scenes_dataframe = ( - pd.DataFrame(pd.Series(scenes).explode()) - .reset_index() - .rename(columns={"index": "Scenes", 0: "Characters"}) - ) - scenes_dataframe["color"] = np.random.choice( - ["red", "green"], len(scenes_dataframe) - ) - scenes_dataframe["heaviness"] = np.random.rand(len(scenes_dataframe)) - - return scenes_dataframe - - -@pytest.fixture -def hyp_no_props(): - return Hypergraph( - np.array( - [ - np.random.choice(list("ABCD"), 50), - np.random.choice(list("abcdefghijklmnopqrstuvwxyz"), 50), - ] - ).T, # creates a transposed ndarray - edge_col="Club", - node_col="Member", - ) - - -@pytest.fixture -def hyp_df_with_props(scenes_dataframe, node_properties, edge_properties): - return Hypergraph( - scenes_dataframe, - cell_properties=["color"], - cell_weight_col="heaviness", - node_properties=node_properties, - edge_properties=edge_properties, - ) - - -@pytest.fixture -def hyp_dict_with_props(scenes): - scenes_with_cellprops = { - ed: { - ch: { - "color": np.random.choice(["red", "green"]), - "cell_weight": np.random.rand(), - } - for ch in v - } - for ed, v in scenes.items() - } - - return Hypergraph( - scenes_with_cellprops, - edge_col="Scenes", - node_col="Characters", - cell_weight_col="cell_weight", - cell_properties=scenes_with_cellprops, - ) - - -@pytest.fixture -def hyp_props_on_edges_nodes(scenes_dataframe, edge_properties, node_properties): - return Hypergraph( - setsystem=scenes_dataframe, - edge_col="Scenes", - node_col="Characters", - cell_weight_col="cell_weight", - cell_properties=["color"], - edge_properties=edge_properties, - node_properties=node_properties, - default_edge_weight=2.5, - default_node_weight=6, - ) - - -####################Fixtures suite for test_hypergraph.py#################### diff --git a/hypernetx/classes/tests/test_entityset_empty.py b/hypernetx/classes/tests/test_entityset_empty.py deleted file mode 100644 index 67271c21..00000000 --- a/hypernetx/classes/tests/test_entityset_empty.py +++ /dev/null @@ -1,37 +0,0 @@ -import numpy as np -import pytest - -from hypernetx.classes import EntitySet - - -def test_empty_entityset(): - es = EntitySet() - assert es.empty - assert len(es.elements) == 0 - assert es.elements == {} - assert es.dimsize == 0 - - assert isinstance(es.data, np.ndarray) - assert es.data.shape == (0, 0) - - assert es.labels == {} - assert es.cell_weights == {} - assert es.isstatic - assert es.incidence_dict == {} - assert "foo" not in es - assert es.incidence_matrix() is None - - assert es.size() == 0 - - with pytest.raises(AttributeError): - es.get_cell_property("foo", "bar", "roma") - with pytest.raises(AttributeError): - es.get_cell_properties("foo", "bar") - with pytest.raises(KeyError): - es.set_cell_property("foo", "bar", "roma", "ff") - with pytest.raises(KeyError): - es.get_properties("foo") - with pytest.raises(KeyError): - es.get_property("foo", "bar") - with pytest.raises(ValueError): - es.set_property("foo", "bar", "roma") diff --git a/hypernetx/classes/tests/test_entityset_harry_potter_data.py b/hypernetx/classes/tests/test_entityset_harry_potter_data.py deleted file mode 100644 index 63bdb684..00000000 --- a/hypernetx/classes/tests/test_entityset_harry_potter_data.py +++ /dev/null @@ -1,75 +0,0 @@ -import numpy as np -import pytest - -from collections.abc import Iterable -from collections import UserList -from hypernetx.classes import EntitySet - - -@pytest.mark.xfail( - reason="Entity does not remove row duplicates from self._data if constructed from np.ndarray, defaults to first two cols as data cols" -) -def test_attributes(harry_potter): - assert isinstance(harry_potter.data, np.ndarray) - ent_hp = EntitySet(data=np.asarray(harry_potter.data), labels=harry_potter.labels) - # TODO: Entity does not remove row duplicates from self._data if constructed from np.ndarray - assert ent_hp.data.shape == ent_hp.dataframe[ent_hp._data_cols].shape # fails - assert isinstance(ent_hp.labels, dict) - # TODO: Entity defaults to first two cols as data cols - assert ent_hp.dimensions == (7, 11, 10, 36, 26) # fails - assert ent_hp.dimsize == 5 # fails - df = ent_hp.dataframe[ent_hp._data_cols] - assert list(df.columns) == [ # fails - "House", - "Blood status", - "Species", - "Hair colour", - "Eye colour", - ] - assert ent_hp.dimensions == tuple(df.nunique()) - assert set(ent_hp.labels["House"]) == set(df["House"].unique()) - - -class TestEntitySetOnHarryPotterDataSet: - def test_entityset_from_ndarray(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert len(ent_hp.uidset) == 7 - assert len(ent_hp.elements) == 7 - assert isinstance(ent_hp.elements["Hufflepuff"], UserList) - assert not ent_hp.is_empty() - assert len(ent_hp.incidence_dict["Gryffindor"]) == 6 - - def test_custom_attributes(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert ent_hp.__len__() == 7 - assert isinstance(ent_hp.__str__(), str) - assert isinstance(ent_hp.__repr__(), str) - assert isinstance(ent_hp.__contains__("Muggle"), bool) - assert ent_hp.__contains__("Muggle") is True - assert ent_hp.__getitem__("Slytherin") == [ - "Half-blood", - "Pure-blood", - "Pure-blood or half-blood", - ] - assert isinstance(ent_hp.__iter__(), Iterable) - assert isinstance(ent_hp.__call__(), Iterable) - assert ent_hp.__call__().__next__() == "Unknown House" - - def test_restrict_to_levels(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert len(ent_hp.restrict_to_levels([0]).uidset) == 7 - - def test_restrict_to_indices(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert ent_hp.restrict_to_indices([1, 2]).uidset == { - "Gryffindor", - "Ravenclaw", - } diff --git a/hypernetx/classes/tests/test_entityset_on_dataframe.py b/hypernetx/classes/tests/test_entityset_on_dataframe.py deleted file mode 100644 index acd1b2f0..00000000 --- a/hypernetx/classes/tests/test_entityset_on_dataframe.py +++ /dev/null @@ -1,395 +0,0 @@ -import pytest - -import pandas as pd -import numpy as np - -from hypernetx import EntitySet - - -class TestEntitySetOnSBSDataframe: - @pytest.fixture - def es_from_df(self, sbs): - return EntitySet(entity=sbs.dataframe) - - @pytest.fixture - def es_from_dupe_df(self, sbsd): - return EntitySet(entity=sbsd.dataframe) - - # check all methods - @pytest.mark.parametrize( - "data", - [ - pd.DataFrame({0: ["P"], 1: ["E"]}), - {0: ["P"], 1: ["E"]}, - EntitySet(entity={"P": ["E"]}), - ], - ) - def test_add(self, es_from_df, data): - assert es_from_df.data.shape == (15, 2) - assert es_from_df.dataframe.size == 45 - - es_from_df.add(data) - - assert es_from_df.data.shape == (16, 2) - assert es_from_df.dataframe.size == 48 - - def test_remove(self, es_from_df): - assert es_from_df.data.shape == (15, 2) - assert es_from_df.dataframe.size == 45 - - es_from_df.remove("P") - - assert es_from_df.data.shape == (12, 2) - assert es_from_df.dataframe.size == 36 - assert "P" not in es_from_df.elements - - @pytest.mark.parametrize( - "props, multidx, expected_props", - [ - ( - {0: {"P": {"prop1": "propval1", "prop2": "propval2"}}}, - (0, "P"), - {"prop1": "propval1", "prop2": "propval2"}, - ), - ( - {1: {"A": {"prop1": "propval1", "prop2": "propval2"}}}, - (1, "A"), - {"prop1": "propval1", "prop2": "propval2"}, - ), - ], - ) - def test_assign_properties(self, es_from_df, props, multidx, expected_props): - original_prop = es_from_df.properties.loc[multidx] - assert original_prop.properties == {} - - es_from_df.assign_properties(props) - - updated_prop = es_from_df.properties.loc[multidx] - assert updated_prop.properties == expected_props - - @pytest.mark.parametrize( - "cell_props, multidx, expected_cell_properties", - [ - ( - {"P": {"A": {"prop1": "propval1", "prop2": "propval2"}}}, - ("P", "A"), - {"prop1": "propval1", "prop2": "propval2"}, - ), - ], - ) - def test_assign_cell_properties_on_default_cell_properties( - self, es_from_df, cell_props, multidx, expected_cell_properties - ): - es_from_df.assign_cell_properties(cell_props=cell_props) - - updated_cell_prop = es_from_df.cell_properties.loc[multidx] - - assert updated_cell_prop.cell_properties == expected_cell_properties - - def test_assign_cell_properties_on_multiple_properties(self, es_from_df): - multidx = ("P", "A") - - es_from_df.assign_cell_properties( - cell_props={"P": {"A": {"prop1": "propval1", "prop2": "propval2"}}} - ) - - updated_cell_prop = es_from_df.cell_properties.loc[multidx] - assert updated_cell_prop.cell_properties == { - "prop1": "propval1", - "prop2": "propval2", - } - - es_from_df.assign_cell_properties( - cell_props={ - "P": { - "A": {"prop1": "propval1", "prop2": "propval2", "prop3": "propval3"} - } - } - ) - - updated_cell_prop = es_from_df.cell_properties.loc[multidx] - assert updated_cell_prop.cell_properties == { - "prop1": "propval1", - "prop2": "propval2", - "prop3": "propval3", - } - - def test_set_cell_property_on_cell_weights(self, es_from_df): - item1 = "P" - item2 = "A" - prop_name = "cell_weights" - prop_val = 42 - - es_from_df.set_cell_property(item1, item2, prop_name, prop_val) - - assert es_from_df.cell_properties.loc[(item1, item2), prop_name] == 42.0 - - # Check that the other cell_weights were not changed and retained the default value of 1 - for row in es_from_df.cell_properties.itertuples(): - if row.Index != (item1, item2): - assert row.cell_weights == 1 - - def test_set_cell_property_on_non_exisiting_cell_property(self, es_from_df): - item1 = "P" - item2 = "A" - prop_name = "non_existing_cell_property" - prop_val = {"foo": "bar"} - es_from_df.set_cell_property(item1, item2, prop_name, prop_val) - - assert es_from_df.cell_properties.loc[(item1, item2), "cell_properties"] == { - prop_name: prop_val - } - - # Check that the other rows received the default empty dictionary - for row in es_from_df.cell_properties.itertuples(): - if row.Index != (item1, item2): - assert row.cell_properties == {} - - item2 = "K" - es_from_df.set_cell_property(item1, item2, prop_name, prop_val) - - assert es_from_df.cell_properties.loc[(item1, item2), "cell_properties"] == { - prop_name: prop_val - } - - @pytest.mark.parametrize("ret_ec", [True, False]) - def test_collapse_identical_elements_on_duplicates(self, es_from_dupe_df, ret_ec): - # There are two edges that share the same set of 3 (three) nodes - new_es = es_from_dupe_df.collapse_identical_elements( - return_equivalence_classes=ret_ec - ) - - es_temp = new_es - if isinstance(new_es, tuple): - # reset variable for actual EntitySet - es_temp = new_es[0] - - # check equiv classes - collapsed_edge_key = "L: 2" - assert "M: 2" not in es_temp.elements - assert collapsed_edge_key in es_temp.elements - assert set(es_temp.elements.get(collapsed_edge_key)) == {"F", "C", "E"} - - equiv_classes = new_es[1] - assert equiv_classes == { - "I: 1": ["I"], - "L: 2": ["L", "M"], - "O: 1": ["O"], - "P: 1": ["P"], - "R: 1": ["R"], - "S: 1": ["S"], - } - - # check dataframe - assert len(es_temp.dataframe) != len(es_from_dupe_df.dataframe) - assert len(es_temp.dataframe) == len(es_from_dupe_df.dataframe) - 3 - - @pytest.mark.parametrize( - "col1, col2, expected_elements", - [ - ( - 0, - 1, - { - "I": {"K", "T2"}, - "L": {"C", "E"}, - "O": {"T1", "T2"}, - "P": {"K", "A", "C"}, - "R": {"A", "E"}, - "S": {"K", "A", "V", "T2"}, - }, - ), - ( - 1, - 0, - { - "A": {"P", "R", "S"}, - "C": {"P", "L"}, - "E": {"R", "L"}, - "K": {"P", "S", "I"}, - "T1": {"O"}, - "T2": {"S", "O", "I"}, - "V": {"S"}, - }, - ), - ], - ) - def test_elements_by_column(self, es_from_df, col1, col2, expected_elements): - elements_temps = es_from_df.elements_by_column(col1, col2) - actual_elements = { - elements_temps[k]._key[1]: set(v) for k, v in elements_temps.items() - } - - assert actual_elements == expected_elements - - def test_elements_by_level(self, sbs): - ent_sbs = EntitySet(data=np.asarray(sbs.data), labels=sbs.labels) - assert ent_sbs.elements_by_level(0, 1) - - def test_encode(self, es_from_df): - df = pd.DataFrame({"Category": ["A", "B", "A", "C", "B"]}) - # Convert 'Category' column to categorical - df["Category"] = df["Category"].astype("category") - - expected_arr = np.array([[0], [1], [0], [2], [1]]) - actual_arr = es_from_df.encode(df) - - assert np.array_equal(actual_arr, expected_arr) - - def test_get_cell_properties(self, es_from_df): - props = es_from_df.get_cell_properties("P", "A") - - assert props == {"cell_weights": 1} - - def test_get_cell_properties_raises_keyerror(self, es_from_df): - assert es_from_df.get_cell_properties("P", "FOOBAR") is None - - def test_get_cell_property(self, es_from_df): - props = es_from_df.get_cell_property("P", "A", "cell_weights") - assert props == 1 - - @pytest.mark.parametrize( - "item1, item2, prop_name, err_msg", - [ - ("P", "FOO", "cell_weights", "Item not exists. cell_properties:"), - ], - ) - def test_get_cell_property_raises_keyerror( - self, es_from_df, item1, item2, prop_name, err_msg - ): - with pytest.raises(KeyError, match=err_msg): - es_from_df.get_cell_property(item1, item2, prop_name) - - def test_get_cell_property_returns_none_on_prop(self, es_from_df): - assert es_from_df.get_cell_property("P", "A", "Not a real property") is None - - @pytest.mark.parametrize("item, level", [("P", 0), ("P", None), ("A", 1)]) - def test_get_properties(self, es_from_df, item, level): - # to avoid duplicate test code, reuse 'level' to get the item_uid - # but if level is None, assume it to be 0 and that the item exists at level 0 - if level is None: - item_uid = es_from_df.properties.loc[(0, item), "uid"] - else: - item_uid = es_from_df.properties.loc[(level, item), "uid"] - - props = es_from_df.get_properties(item, level=level) - - assert props == {"uid": item_uid, "weight": 1, "properties": {}} - - @pytest.mark.parametrize( - "item, level, err_msg", - [ - ("Not a valid item", None, ""), - ("Not a valid item", 0, "no properties initialized for"), - ], - ) - def test_get_properties_raises_keyerror(self, es_from_df, item, level, err_msg): - with pytest.raises(KeyError, match=err_msg): - es_from_df.get_properties(item, level=level) - - @pytest.mark.parametrize( - "item, prop_name, level, expected_prop", - [ - ("P", "weight", 0, 1), - ("P", "properties", 0, {}), - ("P", "uid", 0, 3), - ("A", "weight", 1, 1), - ("A", "properties", 1, {}), - ("A", "uid", 1, 6), - ], - ) - def test_get_property(self, es_from_df, item, prop_name, level, expected_prop): - prop = es_from_df.get_property(item, prop_name, level) - - assert prop == expected_prop - - @pytest.mark.parametrize( - "item, prop_name, err_msg", - [ - ("XXX", "weight", "item does not exist:"), - ], - ) - def test_get_property_raises_keyerror(self, es_from_df, item, prop_name, err_msg): - with pytest.raises(KeyError, match=err_msg): - es_from_df.get_property(item, prop_name) - - def test_get_property_returns_none_on_no_property(self, es_from_df): - assert es_from_df.get_property("P", "non-existing property") is None - - @pytest.mark.parametrize( - "item, prop_name, prop_val, level", - [ - ("P", "weight", 42, 0), - ], - ) - def test_set_property(self, es_from_df, item, prop_name, prop_val, level): - orig_prop_val = es_from_df.get_property(item, prop_name, level) - - es_from_df.set_property(item, prop_name, prop_val, level) - - new_prop_val = es_from_df.get_property(item, prop_name, level) - - assert new_prop_val != orig_prop_val - assert new_prop_val == prop_val - - @pytest.mark.parametrize( - "item, prop_name, prop_val, level, misc_props_col", - [ - ("P", "new_prop", "foobar", 0, "properties"), - ("P", "new_prop", "foobar", 0, "some_new_miscellaneaus_col"), - ], - ) - def test_set_property_on_non_existing_property( - self, es_from_df, item, prop_name, prop_val, level, misc_props_col - ): - es_from_df.set_property(item, prop_name, prop_val, level) - - new_prop_val = es_from_df.get_property(item, prop_name, level) - - assert new_prop_val == prop_val - - def test_set_property_raises_keyerror(self, es_from_df): - with pytest.raises( - ValueError, match="cannot infer 'level' when initializing 'item' properties" - ): - es_from_df.set_property("XXXX", "weight", 42) - - def test_incidence_matrix(self, sbs): - ent_sbs = EntitySet(data=np.asarray(sbs.data), labels=sbs.labels) - assert ent_sbs.incidence_matrix(1, 0).todense().shape == (6, 7) - - def test_index(self, sbs): - ent_sbs = EntitySet(data=np.asarray(sbs.data), labels=sbs.labels) - assert ent_sbs.index("nodes") == 1 - assert ent_sbs.index("nodes", "K") == (1, 3) - - def test_indices(self, sbs): - ent_sbs = EntitySet(data=np.asarray(sbs.data), labels=sbs.labels) - assert ent_sbs.indices("nodes", "K") == [3] - assert ent_sbs.indices("nodes", ["K", "T1"]) == [3, 4] - - @pytest.mark.parametrize("level", [0, 1]) - def test_is_empty(self, es_from_df, level): - assert not es_from_df.is_empty(level) - - @pytest.mark.parametrize( - "item_level, item, min_level, max_level, expected_lidx", - [ - (0, "P", 0, None, (0, 3)), - (0, "P", 0, 0, (0, 3)), - (0, "P", 1, 1, None), - (1, "A", 0, None, (1, 0)), - (1, "A", 0, 0, None), - (1, "K", 0, None, (1, 3)), - ], - ) - def test_level( - self, es_from_df, item_level, item, min_level, max_level, expected_lidx - ): - actual_lidx = es_from_df.level(item, min_level=min_level, max_level=max_level) - - assert actual_lidx == expected_lidx - - if isinstance(actual_lidx, tuple): - index_item_in_labels = actual_lidx[1] - assert index_item_in_labels == es_from_df.labels[item_level].index(item) diff --git a/hypernetx/classes/tests/test_entityset_on_dict.py b/hypernetx/classes/tests/test_entityset_on_dict.py deleted file mode 100644 index e1c5c0e0..00000000 --- a/hypernetx/classes/tests/test_entityset_on_dict.py +++ /dev/null @@ -1,203 +0,0 @@ -import numpy as np -import pytest - -from hypernetx.classes import EntitySet - - -@pytest.mark.parametrize( - "entity, data, data_cols, labels", - [ - (("sbs_dict"), None, (0, 1), None), - ( - ("sbs_dict"), - None, - (0, 1), - ("sbs_labels"), - ), # labels are ignored if entity is provided - ("sbs_dict", None, ["edges", "nodes"], None) - ], -) -class TestEntitySBSDict: - """Tests on different use cases for combination of the following params: entity, data, data_cols, labels""" - - def test_size(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.size() == len(sbs.edgedict) - - # check all the EntitySet properties - def test_isstatic(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.isstatic - - def test_uid(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.uid is None - - def test_empty(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert not es.empty - - def test_uidset(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.uidset == {"I", "R", "S", "P", "O", "L"} - - def test_dimsize(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.dimsize == 2 - - def test_elements(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert len(es.elements) == 6 - expected_elements = { - "I": ["K", "T2"], - "L": ["E", "C"], - "O": ["T1", "T2"], - "P": ["C", "K", "A"], - "R": ["E", "A"], - "S": ["K", "V", "A", "T2"], - } - for expected_edge, expected_nodes in expected_elements.items(): - assert expected_edge in es.elements - assert es.elements[expected_edge].sort() == expected_nodes.sort() - - def test_incident_dict(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - expected_incident_dict = { - "I": ["K", "T2"], - "L": ["E", "C"], - "O": ["T1", "T2"], - "P": ["C", "K", "A"], - "R": ["E", "A"], - "S": ["K", "V", "A", "T2"], - } - for expected_edge, expected_nodes in expected_incident_dict.items(): - assert expected_edge in es.incidence_dict - assert es.incidence_dict[expected_edge].sort() == expected_nodes.sort() - assert isinstance(es.incidence_dict["I"], list) - assert "I" in es - assert "K" in es - - def test_children(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.children == {"C", "T1", "A", "K", "T2", "V", "E"} - - def test_memberships(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.memberships == { - "A": ["P", "R", "S"], - "C": ["P", "L"], - "E": ["R", "L"], - "K": ["P", "S", "I"], - "T1": ["O"], - "T2": ["S", "O", "I"], - "V": ["S"], - } - - def test_cell_properties(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.cell_properties.shape == ( - 15, - 1, - ) - - def test_cell_weights(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert es.cell_weights == { - ("P", "C"): 1, - ("P", "K"): 1, - ("P", "A"): 1, - ("R", "E"): 1, - ("R", "A"): 1, - ("S", "K"): 1, - ("S", "V"): 1, - ("S", "A"): 1, - ("S", "T2"): 1, - ("L", "E"): 1, - ("L", "C"): 1, - ("O", "T1"): 1, - ("O", "T2"): 1, - ("I", "K"): 1, - ("I", "T2"): 1, - } - - def test_labels(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - # check labeling based on given attributes for EntitySet - if data_cols == [ - "edges", - "nodes", - ]: # labels should use the data_cols as keys for labels - assert es.labels == { - "edges": ["I", "L", "O", "P", "R", "S"], - "nodes": ["A", "C", "E", "K", "T1", "T2", "V"], - } - elif (labels is not None and not entity) or ( - labels is not None and data - ): # labels should match the labels explicitly given - assert es.labels == labels - else: # if data_cols or labels not given, labels should conform to default format - assert es.labels == { - 0: ["I", "L", "O", "P", "R", "S"], - 1: ["A", "C", "E", "K", "T1", "T2", "V"], - } - - def test_dataframe(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - # check dataframe - # size should be the number of rows times the number of columns, i.e 15 x 3 - assert es.dataframe.size == 45 - - actual_edge_row0 = es.dataframe.iloc[0, 0] - actual_node_row0 = es.dataframe.iloc[0, 1] - actual_cell_weight_row0 = es.dataframe.loc[0, "cell_weights"] - - assert actual_edge_row0 == "P" - assert actual_node_row0 in ["A", "C", "K"] - assert actual_cell_weight_row0 == 1 - - def test_data(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - - actual_data = es.data - - assert len(actual_data) == 15 - - expected_data = np.array( - [ - [3, 0], - [3, 1], - [3, 3], - [4, 0], - [4, 2], - [5, 0], - [5, 3], - [5, 5], - [5, 6], - [1, 1], - [1, 2], - [2, 4], - [2, 5], - [0, 5], - [0, 3], - ] - ) - assert np.array_equal( - np.sort(actual_data, axis=0), np.sort(expected_data, axis=0) - ) - - def test_properties(self, entity, data, data_cols, labels, sbs, request): - es = EntitySet(entity=request.getfixturevalue(entity), data=data, data_cols=data_cols, labels=labels) - assert ( - es.properties.size == 39 - ) # Properties has three columns and 13 rows of data (i.e. edges + nodes) - assert list(es.properties.columns) == ["uid", "weight", "properties"] - - -@pytest.mark.xfail(reason="Deprecated; to be removed in next released") -def test_level(sbs, request): - # at some point we are casting out and back to categorical dtype without - # preserving categories ordering from `labels` provided to constructor - ent_sbs = EntitySet(data=np.asarray(sbs.data), labels=sbs.labels) - assert ent_sbs.level("I") == (0, 5) # fails - assert ent_sbs.level("K") == (1, 3) - assert ent_sbs.level("K", max_level=0) is None diff --git a/hypernetx/classes/tests/test_entityset_on_np_array.py b/hypernetx/classes/tests/test_entityset_on_np_array.py deleted file mode 100644 index 1cf02e9e..00000000 --- a/hypernetx/classes/tests/test_entityset_on_np_array.py +++ /dev/null @@ -1,108 +0,0 @@ -import pytest -import numpy as np - -from collections.abc import Iterable -from collections import UserList - -from hypernetx import EntitySet - - -class TestEntitySetOnSBSasNDArray: - def test_ndarray_fail_on_labels(self, sbs_data): - with pytest.raises(ValueError, match="Labels must be of type Dictionary."): - EntitySet(data=np.asarray(sbs_data), labels=[]) - - def test_ndarray_fail_on_length_labels(self, sbs_data): - with pytest.raises( - ValueError, - match="The length of labels must equal the length of columns in the dataframe.", - ): - EntitySet(data=np.asarray(sbs_data), labels=dict()) - - def test_dimensions_equal_dimsize(self, sbs_data, sbs_labels): - ent_sbs = EntitySet(data=np.asarray(sbs_data), labels=sbs_labels) - assert ent_sbs.dimsize == len(ent_sbs.dimensions) - - def test_translate(self, sbs_data, sbs_labels): - ent_sbs = EntitySet(data=np.asarray(sbs_data), labels=sbs_labels) - assert ent_sbs.translate(0, 0) == "I" - assert ent_sbs.translate(1, [3, 4]) == ["K", "T1"] - - def test_translate_arr(self, sbs_data, sbs_labels): - ent_sbs = EntitySet(data=np.asarray(sbs_data), labels=sbs_labels) - assert ent_sbs.translate_arr((0, 0)) == ["I", "A"] - - def test_uidset_by_level(self, sbs_data, sbs_labels): - ent_sbs = EntitySet(data=np.asarray(sbs_data), labels=sbs_labels) - - assert ent_sbs.uidset_by_level(0) == {"I", "L", "O", "P", "R", "S"} - assert ent_sbs.uidset_by_level(1) == {"A", "C", "E", "K", "T1", "T2", "V"} - - -class TestEntitySetOnHarryPotterDataSet: - def test_entityset_from_ndarray(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert len(ent_hp.uidset) == 7 - assert len(ent_hp.elements) == 7 - assert isinstance(ent_hp.elements["Hufflepuff"], UserList) - assert not ent_hp.is_empty() - assert len(ent_hp.incidence_dict["Gryffindor"]) == 6 - - def test_custom_attributes(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert ent_hp.__len__() == 7 - assert isinstance(ent_hp.__str__(), str) - assert isinstance(ent_hp.__repr__(), str) - assert isinstance(ent_hp.__contains__("Muggle"), bool) - assert ent_hp.__contains__("Muggle") is True - assert ent_hp.__getitem__("Slytherin") == [ - "Half-blood", - "Pure-blood", - "Pure-blood or half-blood", - ] - assert isinstance(ent_hp.__iter__(), Iterable) - assert isinstance(ent_hp.__call__(), Iterable) - assert ent_hp.__call__().__next__() == "Unknown House" - - def test_restrict_to_levels(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert len(ent_hp.restrict_to_levels([0]).uidset) == 7 - - def test_restrict_to_indices(self, harry_potter): - ent_hp = EntitySet( - data=np.asarray(harry_potter.data), labels=harry_potter.labels - ) - assert ent_hp.restrict_to_indices([1, 2]).uidset == { - "Gryffindor", - "Ravenclaw", - } - - -@pytest.mark.xfail( - reason="Entity does not remove row duplicates from self._data if constructed from np.ndarray, defaults to first two cols as data cols" -) -def test_attributes(harry_potter): - assert isinstance(harry_potter.data, np.ndarray) - ent_hp = EntitySet(data=np.asarray(harry_potter.data), labels=harry_potter.labels) - # TODO: Entity does not remove row duplicates from self._data if constructed from np.ndarray - assert ent_hp.data.shape == ent_hp.dataframe[ent_hp._data_cols].shape # fails - assert isinstance(ent_hp.labels, dict) - # TODO: Entity defaults to first two cols as data cols - assert ent_hp.dimensions == (7, 11, 10, 36, 26) # fails - assert ent_hp.dimsize == 5 # fails - df = ent_hp.dataframe[ent_hp._data_cols] - assert list(df.columns) == [ # fails - "House", - "Blood status", - "Species", - "Hair colour", - "Eye colour", - ] - assert ent_hp.dimensions == tuple(df.nunique()) - assert set(ent_hp.labels["House"]) == set(df["House"].unique()) diff --git a/hypernetx/classes/tests/test_hypergraph.py b/hypernetx/classes/tests/test_hypergraph.py deleted file mode 100644 index 34fc03ef..00000000 --- a/hypernetx/classes/tests/test_hypergraph.py +++ /dev/null @@ -1,371 +0,0 @@ -import pytest -import numpy as np -import pandas as pd -from hypernetx.classes.hypergraph import Hypergraph - -from networkx.algorithms import bipartite - - -def test_hypergraph_from_iterable_of_sets(sbs): - H = Hypergraph(sbs.edges) - assert len(H.edges) == 6 - assert len(H.nodes) == 7 - assert H.degree("A") == 3 - assert H.number_of_edges() == 6 - assert H.number_of_nodes() == 7 - - -def test_hypergraph_from_dict(sbs): - H = Hypergraph(sbs.edgedict) - assert len(H.edges) == 6 - assert len(H.nodes) == 7 - assert H.degree("A") == 3 - assert H.size("R") == 2 - assert H.order() == 7 - - -def test_hypergraph_custom_attributes(sbs): - H = Hypergraph(sbs.edges) - assert isinstance(H.__str__(), str) - assert isinstance(H.__repr__(), str) - assert H.__contains__("A") - assert H.__len__() == 7 - nodes = [key for key in H.__iter__()] - assert sorted(nodes) == ["A", "C", "E", "K", "T1", "T2", "V"] - assert sorted(H.__getitem__("C")) == ["A", "E", "K"] - - -def test_get_linegraph(sbs): - H = Hypergraph(sbs.edges) - assert len(H.edges) == 6 - assert len(H.nodes) == 7 - assert len(set(H.get_linegraph(s=1)).difference(set([0, 1, 2, 3, 4, 5]))) == 0 - - -def test_hypergraph_from_incidence_dataframe(lesmis): - df = lesmis.hypergraph.incidence_dataframe() - H = Hypergraph.from_incidence_dataframe(df) - assert H.shape == (40, 8) - assert H.size(3) == 8 - assert H.degree("JA") == 3 - - -def test_hypergraph_from_numpy_array(sbs): - H = Hypergraph.from_numpy_array(sbs.arr) - assert len(H.nodes) == 6 - assert len(H.edges) == 7 - assert H.dim("e5") == 2 - assert set(H.neighbors("v2")) == {"v0", "v5"} - - -def test_hypergraph_from_bipartite(sbsd_hypergraph): - H = sbsd_hypergraph - HB = Hypergraph.from_bipartite(H.bipartite()) - assert len(HB.edges) == 7 - assert len(HB.nodes) == 8 - - -@pytest.mark.skip("Deprecated method; will support in later release") -def test_add_node_to_edge(sbs): - H = Hypergraph(sbs.edgedict) - assert H.shape == (7, 6) - node = "B" - edge = "P" - H.add_node_to_edge(node, edge) - assert H.shape == (8, 6) - # add edge with nodes already in hypergraph - H.add_edge({"Z": ["A", "B"]}) - assert H.shape == (8, 7) - # add edge not in hypergraph with nodes not in hypergraph - H.add_edge({"Y": ["M", "N"]}) - assert H.shape == (10, 8) - - -def test_remove_edges(sbs): - H = Hypergraph(sbs.edgedict) - assert H.shape == (7, 6) - # remove an edge without removing any nodes - H = H.remove_edges("P") - assert H.shape == (7, 5) - # remove an edge containing a singleton ear - H = H.remove_edges("O") - assert H.shape == (6, 4) - - -def test_remove(triloop2): - H = triloop2.hypergraph - k = "ACD2" - assert H.shape == (5, 4) - newH = H.remove(k) - assert newH.shape == (5, 3) - newH = H.remove("E", level=1) - assert newH.shape == (4, 4) - newH = H.remove("ACD", level=0) - assert newH.shape == (5, 3) - newH = H.remove(["ACD", "E"]) - assert newH.shape == (4, 3) - with pytest.raises(TypeError): - H.remove({"ACD": "edge"}) - - -def test_remove_nodes(): - a, b, c, d = "a", "b", "c", "d" - hbug = Hypergraph({0: [a, b], 1: [a, c], 2: [a, d]}) - assert a in hbug.nodes - assert a in hbug.edges[0] - assert a in hbug.edges[1] - assert a in hbug.edges[2] - hbug = hbug.remove_nodes(a) - assert a not in hbug.nodes - assert a not in hbug.edges[0] - assert a not in hbug.edges[1] - assert a not in hbug.edges[2] - - -def test_matrix(sbs_hypergraph): - H = sbs_hypergraph - assert H.incidence_matrix().todense().shape == (7, 6) - assert H.adjacency_matrix(s=2).todense().shape == (7, 7) - assert H.edge_adjacency_matrix().todense().shape == (6, 6) - aux_matrix = H.auxiliary_matrix(node=False) - assert aux_matrix.todense().shape == (6, 6) - - -def test_collapse_edges(sbsd_hypergraph): - H = sbsd_hypergraph - assert len(H.edges) == 7 - HC = H.collapse_edges() - assert len(HC.edges) == 6 - - -def test_collapse_nodes(sbsd_hypergraph): - H = sbsd_hypergraph - assert len(H.nodes) == 8 - HC = H.collapse_nodes() - assert len(HC.nodes) == 7 - - -def test_collapse_nodes_and_edges(sbsd_hypergraph): - H = sbsd_hypergraph - HC2 = H.collapse_nodes_and_edges() - assert len(H.edges) == 7 - assert len(HC2.edges) == 6 - assert len(H.nodes) == 8 - assert len(HC2.nodes) == 7 - - -def test_restrict_to_edges(sbs_hypergraph): - H = sbs_hypergraph - HS = H.restrict_to_edges(["P", "O"]) - assert len(H.edges) == 6 - assert len(HS.edges) == 2 - - -def test_restrict_to_nodes(sbs_hypergraph): - H = sbs_hypergraph - assert len(H.nodes) == 7 - H1 = H.restrict_to_nodes(["A", "E", "K"]) - assert len(H.nodes) == 7 - assert len(H1.nodes) == 3 - assert len(H1.edges) == 5 - assert "C" in H.edges["P"] - assert "C" not in H1.edges["P"] - - -# @pytest.mark.skip("reason=Deprecated method") -def test_remove_from_restriction(triloop): - h = triloop.hypergraph - h1 = h.restrict_to_nodes(h.neighbors("A")).remove_nodes( - "A" - ) # Hypergraph does not have a remove_node method - assert "A" not in h1 - assert "A" not in h1.edges["ACD"] - - -def test_toplexes(sbsd_hypergraph): - H = sbsd_hypergraph - T = H.toplexes() - assert len(T.nodes) == 8 - assert len(T.edges) == 5 - T = T.collapse_nodes() - assert len(T.nodes) == 7 - - -def test_is_connected(): - setsystem = [{1, 2, 3, 4}, {3, 4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - assert h.is_connected() is True - assert h.is_connected(s=2) is False - assert h.is_connected(s=2, edges=True) is True - # test case below will raise nx.NetworkXPointlessConcept - assert h.is_connected(s=3, edges=True) is False - - -# @pytest.mark.skip("Deprecated methods") -def test_singletons(): - E = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} - h = Hypergraph(E) - assert h.shape == (9, 5) - singles = h.singletons() - assert len(singles) == 2 - h = h.remove_edges(singles) - assert h.shape == (7, 3) - - -def test_remove_singletons(): - E = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} - h = Hypergraph(E) - assert h.shape == (9, 5) - h1 = h.remove_singletons() - assert h1.shape == (7, 3) - assert h.shape == (9, 5) - - -def test_components(): - setsystem = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - # h.components() causes an error - assert [len(g) for g in h.component_subgraphs()] == [8] - - -def test_connected_components(): - setsystem = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - assert len(list(h.connected_components())) == 1 - assert list(h.connected_components(edges=True)) == [{0, 1, 2, 3}] - assert [len(g) for g in h.connected_component_subgraphs()] == [8] - - -def test_s_components(): - setsystem = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - assert len(list(h.s_components())) == 1 - assert len(list(h.s_components(s=2))) == 2 - assert len(list(h.s_components(s=3))) == 4 - assert len(list(h.s_components(s=3, edges=False))) == 7 - assert len(list(h.s_components(s=4, edges=False))) == 8 - - -def test_s_connected_components(): - setsystem = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - assert list(h.s_connected_components()) == [{0, 1, 2, 3}] - assert list(h.s_connected_components(s=2)) == [{1, 2, 3}] - assert list(h.s_connected_components(s=2, edges=False)) == [{5, 6}] - - -def test_s_component_subgraphs(): - setsystem = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] - h = Hypergraph(setsystem) - assert {5, 4}.issubset( - [len(g) for g in h.s_component_subgraphs(s=2, return_singletons=True)] - ) - assert {3, 4}.issubset( - [len(g) for g in h.s_component_subgraphs(s=3, return_singletons=True)] - ) - - -def test_size(sbs): - h = Hypergraph(sbs.edgedict) - assert h.size("S") == 4 - assert h.size("S", {"T2", "V"}) == 2 - assert h.size("S", {"T1", "T2"}) == 1 - assert h.size("S", {"T2"}) == 1 - assert h.size("S", {"T1"}) == 0 - assert h.size("S", {}) == 0 - - -def test_diameter(sbs): - h = Hypergraph(sbs.edgedict) - assert h.diameter() == 3 - with pytest.raises(Exception) as excinfo: - h.diameter(s=2) - assert "Hypergraph is not s-connected." in str(excinfo.value) - - -def test_node_diameters(sbs): - h = Hypergraph(sbs.edgedict) - assert h.node_diameters()[0] == 3 - assert h.node_diameters()[2] == [{"A", "C", "E", "K", "T1", "T2", "V"}] - - -def test_edge_diameter(sbs): - h = Hypergraph(sbs.edgedict) - assert h.edge_diameter() == 3 - assert h.edge_diameters()[2] == [{"I", "L", "O", "P", "R", "S"}] - with pytest.raises(Exception) as excinfo: - h.edge_diameter(s=2) - assert "Hypergraph is not s-connected." in str(excinfo.value) - - -def test_bipartite(sbs_hypergraph): - assert bipartite.is_bipartite(sbs_hypergraph.bipartite()) - - -def test_dual(sbs_hypergraph): - H = sbs_hypergraph - HD = H.dual() - assert set(H.nodes) == set(HD.edges) - assert set(H.edges) == set(HD.nodes) - assert list(H.dataframe.columns) == list(HD.dataframe.columns) - - -def test_dual_again(sbs): - H = Hypergraph(sbs.edgedict, edge_col="Types", node_col="Values") - assert list(H.dataframe.columns[0:2]) == ["Types", "Values"] - assert list(H.dual().dataframe.columns[0:2]) == ["Values", "Types"] - assert list(H.dual(switch_names=False).dataframe.columns[0:2]) == [ - "Types", - "Values", - ] - - -@pytest.mark.filterwarnings("ignore:No 3-path between ME and FN") -def test_distance(lesmis): - h = lesmis.hypergraph - assert h.distance("ME", "FN") == 2 - assert h.distance("ME", "FN", s=2) == 3 - assert h.distance("ME", "FN", s=3) == np.inf - - -# TODO: fix test once get_linegraph is fully tested -@pytest.mark.filterwarnings("ignore:No 2-path between 1 and 4") -def test_edge_distance(lesmis): - h = lesmis.hypergraph - assert h.edge_distance(1, 4) == 2 - h2 = h.remove([5], 0) - assert h2.edge_distance(1, 4) == 3 - assert h2.edge_distance(1, 4, s=2) == np.inf - - -def test_dataframe(lesmis): - h = lesmis.hypergraph - df = h.incidence_dataframe() - assert np.allclose(np.array(np.sum(df)), np.array([10, 9, 8, 4, 8, 3, 12, 6])) - - -def test_construct_empty_hypergraph(): - h = Hypergraph() - assert h.shape == (0, 0) - assert h.edges.is_empty() - assert h.nodes.is_empty() - assert isinstance(h.dataframe, pd.DataFrame) - - -def test_construct_hypergraph_from_empty_dict(): - h = Hypergraph({}) - assert h.shape == (0, 0) - assert h.edges.is_empty() - assert h.nodes.is_empty() - - -def test_construct_hypergraph_empty_dict(): - h = Hypergraph(dict()) - assert h.shape == (0, 0) - assert h.edges.is_empty() - assert h.nodes.is_empty() - - -def test_static_hypergraph_s_connected_components(lesmis): - H = Hypergraph(lesmis.edgedict) - assert {7, 8} in list(H.s_connected_components(edges=True, s=4)) diff --git a/hypernetx/classes/tests/test_hypergraph_by_setsystem.py b/hypernetx/classes/tests/test_hypergraph_by_setsystem.py deleted file mode 100644 index 6cc7fdcc..00000000 --- a/hypernetx/classes/tests/test_hypergraph_by_setsystem.py +++ /dev/null @@ -1,39 +0,0 @@ -import pytest - -from hypernetx import Hypergraph - -""" - This test suite runs all the tests on each hypergraph defined by `hyp` - Write a test based on the following pattern: - - @pytest.mark.parametrize( - "hyp, expected", - [ - (pytest.lazy_fixture("hyp_no_props"), ), - (pytest.lazy_fixture("hyp_df_with_props"), ), - (pytest.lazy_fixture("hyp_dict_with_props"), ), - (pytest.lazy_fixture("hyp_props_on_edges_nodes"), ) - ], - ) - def test_(hyp: Hypergraph, expected): - actual = hyp.() - assert actual == expected -""" - - -@pytest.mark.parametrize( - "hypergraph_fixture", - [ - ("hyp_no_props"), - ("hyp_df_with_props"), - ("hyp_dict_with_props"), - ("hyp_props_on_edges_nodes"), - ], -) -def test_dual(hypergraph_fixture, request): - actual = request.getfixturevalue(hypergraph_fixture).dual() - # assertions on the hypergraph - assert isinstance(actual, Hypergraph) - - # assertions on the actual result compared to the expected result that was defined in the parameterize decorator - assert actual is not None diff --git a/hypernetx/classes/tests/test_hypergraph_factory_methods.py b/hypernetx/classes/tests/test_hypergraph_factory_methods.py deleted file mode 100644 index 72ccea8d..00000000 --- a/hypernetx/classes/tests/test_hypergraph_factory_methods.py +++ /dev/null @@ -1,98 +0,0 @@ -import pytest -import numpy as np -import pandas as pd -import networkx as nx -from hypernetx import Hypergraph - - -def test_from_bipartite(): - g = nx.complete_bipartite_graph(2, 3) - left, right = nx.bipartite.sets(g) - h = Hypergraph.from_bipartite(g) - nodes = {*h.nodes} - edges = {*h.edges} - assert left.issubset(edges) - assert right.issubset(nodes) - - with pytest.raises(Exception) as excinfo: - h.edge_diameter(s=4) - assert "Hypergraph is not s-connected." in str(excinfo.value) - - -def test_from_numpy_array(): - M = np.array([[0, 1, 1, 0, 1], [1, 1, 1, 1, 1], [1, 0, 0, 1, 0], [0, 0, 0, 0, 1]]) - h = Hypergraph.from_numpy_array(M) - assert "v1" in h.edges["e0"] - assert "e1" not in h.nodes.memberships["v2"] - with pytest.raises(Exception) as excinfo: - Hypergraph.from_numpy_array(M, node_names=["A"]) - assert "Number of node names does not match number of rows" in str(excinfo.value) - node_names = ["A", "B", "C", "D"] - edge_names = ["a", "b", "c", "d", "e"] - h = Hypergraph.from_numpy_array(M, node_names, edge_names) - assert "a" in h.edges() - assert "A" in h.nodes - assert "B" in h.edges["a"] - - -def test_from_numpy_array_with_key(): - M = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) - h = Hypergraph.from_numpy_array( - M, - node_names=["A", "B", "C"], - edge_names=["a", "b", "c", "d"], - key=lambda x: x > 4, - ) - assert "A" in h.edges["a"] - assert "C" not in h.edges["a"] - - -def test_from_dataframe(): - M = np.array([[1, 1, 0, 0], [0, 1, 1, 0], [1, 0, 1, 0]]) - index = ["A", "B", "C"] - columns = ["a", "b", "c", "d"] - df = pd.DataFrame(M, index=index, columns=columns) - h = Hypergraph.from_incidence_dataframe(df) - assert "b" in h.edges() - # assert "d" not in h.edges() - assert "C" in h.edges["a"] - - -def test_from_dataframe_with_key(): - M = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) - index = ["A", "B", "C"] - columns = ["a", "b", "c", "d"] - df = pd.DataFrame(M, index=index, columns=columns) - h = Hypergraph.from_incidence_dataframe(df, key=lambda x: x > 4) - assert "A" in h.edges["a"] - assert "C" not in h.edges["a"] - - -def test_from_dataframe_with_transforms_and_fillna(dataframe): - df = dataframe.df - - # @pytest.mark.skip() - # def keymark.1(x): - # return x**2 - # @pytest.mark.skip() - # def keymark.2(x): - # return (x < 5) * x - # @pytest.mark.skip() - # def keymark.3(x): - # return (x > 0) * x - - h = Hypergraph.from_incidence_dataframe(df) - assert "A" in h.edges["a"] - assert "A" not in h.edges["b"] - h = Hypergraph.from_incidence_dataframe(df, fillna=1) - assert "A" in h.edges["b"] - # h = Hypergraph.from_incidence_dataframe(df, transforms=[key1, key2]) - # assert "A" in h.edges["c"] - # assert "C" not in h.edges["b"] - # h = Hypergraph.from_incidence_dataframe(df, transforms=[key2, key3]) - # assert "C" in h.edges["b"] - # h = Hypergraph.from_incidence_dataframe(df, transforms=[key3, key1], key=key2) - # assert "A" not in h.edges["a"] - # assert "B" in h.edges["b"] - # assert "C" not in h.edges["c"] - # assert "C" in h.edges["a"] diff --git a/hypernetx/classes/tests/test_nx_hnx_agreement.py b/hypernetx/classes/tests/test_nx_hnx_agreement.py deleted file mode 100644 index 79b90167..00000000 --- a/hypernetx/classes/tests/test_nx_hnx_agreement.py +++ /dev/null @@ -1,60 +0,0 @@ -import pytest - - -def assert_are_same_sets(S, T): - assert set(S) == set(T) - - -def assert_are_same_set_of_sets(S, T): - assert_are_same_sets(map(frozenset, S), map(frozenset, T)) - - -def test_len(G, H): - """ - Confirm that the length of the hypergraph returns the number of nodes - """ - assert len(G) == len(H) - - -def test_number_of_nodes(G, H): - """ - Confirm that the number of nodes are the same - """ - assert G.number_of_nodes() == H.number_of_nodes() - - -def test_number_of_edges(G, H): - """ - Confirm that the number of edges are the same - """ - assert G.number_of_edges() == H.number_of_edges() - - -def test_is_iterable(G, H): - """ - Confirm that the object itself is iterable, and returns the node set - """ - assert_are_same_sets(G, H) - - -def test_is_subscriptable(G, H): - """ - Confirm that the graph is subscriptable, i.e., G[v], returns the neighbors of v - """ - for v in G.nodes(): - assert_are_same_sets(G[v], H[v]) - - -def test_neighbors(G, H): - """ - Confirm that G.neighbors(v) returns neighbors of vertex v. - This is the same as G[v] above. - """ - for v in G.nodes(): - assert_are_same_sets(G[v], H[v]) - - -@pytest.mark.xfail(reason="Hypergraph edges do not match edges in nx graph") -def test_edges_iter(G, H): - # breakpoint() - assert_are_same_set_of_sets(G.edges(), H.edges()) diff --git a/hypernetx/drawing/rubber_band.py b/hypernetx/drawing/rubber_band.py index 9d575b65..29ab37d7 100644 --- a/hypernetx/drawing/rubber_band.py +++ b/hypernetx/drawing/rubber_band.py @@ -39,7 +39,7 @@ def layout_node_link(H, G=None, layout=nx.spring_layout, **kwargs): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn G: Graph an additional set of links to consider during the layout process @@ -72,7 +72,7 @@ def get_default_radius(H, pos): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -104,7 +104,7 @@ def draw_hyper_edge_labels( Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn polys: PolyCollection collection of polygons returned by draw_hyper_edges @@ -124,7 +124,7 @@ def draw_hyper_edge_labels( s = labels.get(edge, edge) theta = 0 - xy = pos[edge] + xy = None if edge_labels_on_edge: # calculate the xy location of the annotation @@ -141,12 +141,14 @@ def draw_hyper_edge_labels( theta -= 180 xy = (x1 + x2) / 2 + else: + xy = pos[edge] # the string is a comma separated list of the edge uid ax.annotate(s, xy, rotation=theta, ha="center", va="center", **params) -def layout_hyper_edges(H, pos, node_radius={}, dr=None): +def layout_hyper_edges(H, pos, node_radius={}, dr=None, contain_hyper_edges=False): """ Draws a convex hull for each edge in H. @@ -157,7 +159,7 @@ def layout_hyper_edges(H, pos, node_radius={}, dr=None): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -185,18 +187,22 @@ def layout_hyper_edges(H, pos, node_radius={}, dr=None): radii = { v: {v: i for i, v in enumerate(sorted(e, key=levels.get))} - for v, e in H.dual().edges.elements.items() + for v, e in H.nodes.memberships.items() } def get_padded_hull(uid, edge): # make sure the edge contains at least one node if len(edge): - points = np.vstack( - [ - cp * (node_radius.get(v, r0) + dr * (2 + radii[v][uid])) + pos[v] - for v in edge - ] - ) + points = [ + cp * (node_radius.get(v, r0) + dr * (2 + radii[v][uid])) + pos[v] + for v in edge + ] + + if contain_hyper_edges: + points.append(cp * r0 + pos[uid]) + + points = np.vstack(points) + # if not, draw an empty edge centered around the location of the edge node (in the bipartite graph) else: points = 4 * r0 * cp + pos[uid] @@ -208,13 +214,15 @@ def get_padded_hull(uid, edge): return [get_padded_hull(uid, list(H.edges[uid])) for uid in H.edges] -def draw_hyper_edges(H, pos, ax=None, node_radius={}, dr=None, **kwargs): +def draw_hyper_edges( + H, pos, ax=None, node_radius={}, contain_hyper_edges=False, dr=None, **kwargs +): """ Draws a convex hull around the nodes contained within each edge in H Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -232,7 +240,9 @@ def draw_hyper_edges(H, pos, ax=None, node_radius={}, dr=None, **kwargs): PolyCollection a Matplotlib PolyCollection that can be further styled """ - points = layout_hyper_edges(H, pos, node_radius=node_radius, dr=dr) + points = layout_hyper_edges( + H, pos, node_radius=node_radius, dr=dr, contain_hyper_edges=contain_hyper_edges + ) polys = PolyCollection(points, **inflate_kwargs(H.edges, kwargs)) @@ -254,7 +264,7 @@ def draw_hyper_nodes(H, pos, node_radius={}, r0=None, ax=None, **kwargs): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -304,7 +314,7 @@ def draw_hyper_labels(H, pos, node_radius={}, ax=None, labels={}, **kwargs): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -360,6 +370,7 @@ def draw( node_label_alpha=0.35, edge_label_alpha=0.35, with_additional_edges=None, + contain_hyper_edges=False, additional_edges_kwargs={}, return_pos=False, ): @@ -406,7 +417,7 @@ def draw( Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -442,6 +453,11 @@ def draw( the transparency (alpha) of the box behind text drawn in the figure for node labels edge_label_alpha: float the transparency (alpha) of the box behind text drawn in the figure for edge labels + with_additional_edges: networkx.Graph + ... + contain_hyper_edges: bool + whether the rubber band shoudl be drawn around the location of the edge in the bipartite graph. This may be invisibile unless "with_additional_edges" contains this information. + """ ax = ax or plt.gca() @@ -468,7 +484,14 @@ def get_node_radius(v): edges_kwargs.setdefault("edgecolors", plt.cm.tab10(np.arange(len(H.edges)) % 10)) edges_kwargs.setdefault("facecolors", "none") - polys = draw_hyper_edges(H, pos, node_radius=node_radius, ax=ax, **edges_kwargs) + polys = draw_hyper_edges( + H, + pos, + node_radius=node_radius, + ax=ax, + contain_hyper_edges=contain_hyper_edges, + **edges_kwargs + ) if with_additional_edges: nx.draw_networkx_edges( diff --git a/hypernetx/drawing/two_column.py b/hypernetx/drawing/two_column.py index e60cb21d..e9658259 100644 --- a/hypernetx/drawing/two_column.py +++ b/hypernetx/drawing/two_column.py @@ -23,7 +23,7 @@ def layout_two_column(H, spacing=2): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn spacing: float amount of whitespace between disconnected components @@ -63,7 +63,7 @@ def draw_hyper_edges(H, pos, ax=None, **kwargs): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -101,7 +101,7 @@ def draw_hyper_labels( Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn pos: dict mapping of node and edge positions to R^2 @@ -157,7 +157,7 @@ def draw( Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn with_node_labels: bool False to disable node labels diff --git a/hypernetx/drawing/util.py b/hypernetx/drawing/util.py index 33dd6b88..938a19a9 100644 --- a/hypernetx/drawing/util.py +++ b/hypernetx/drawing/util.py @@ -88,7 +88,7 @@ def get_line_graph(H, collapse=True): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn collapse: bool True if edges should be added if hyper edges are identical @@ -123,7 +123,7 @@ def get_set_layering(H, collapse=True): Parameters ---------- - H: Hypergraph + H: hnx.Hypergraph the entity to be drawn collapse: bool True if edges should be added if hyper edges are identical diff --git a/hypernetx/exception.py b/hypernetx/exception.py index 02917a09..3c28b5fb 100644 --- a/hypernetx/exception.py +++ b/hypernetx/exception.py @@ -5,12 +5,6 @@ Base classes for HyperNetX exceptions """ -NWHY_WARNING = ( - "As of HyperNetX v2.0.0, NWHy C++ backend is no longer supported. " - "Public references to the deprecated NWHy add-on will be removed from the " - "Hypergraph API in a future release." -) - class HyperNetXException(Exception): """Base class for exceptions in HyperNetX.""" diff --git a/hypernetx/reports/descriptive_stats.py b/hypernetx/reports/descriptive_stats.py index d23cac11..ccdf20bd 100644 --- a/hypernetx/reports/descriptive_stats.py +++ b/hypernetx/reports/descriptive_stats.py @@ -8,6 +8,7 @@ Also computes general hypergraph information: number of nodes, edges, cells, aspect ratio, incidence matrix density """ + from collections import Counter import numpy as np from hypernetx.utils.decorators import not_implemented_for @@ -42,7 +43,7 @@ def edge_size_dist(H, aggregated=False): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph aggregated : If aggregated is True, returns a dictionary of edge sizes and counts. If aggregated is False, returns a @@ -66,7 +67,7 @@ def degree_dist(H, aggregated=False): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph aggregated : If aggregated is True, returns a dictionary of degrees and counts. If aggregated is False, returns a @@ -90,7 +91,7 @@ def comp_dist(H, aggregated=False): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph aggregated : If aggregated is True, returns a dictionary of component sizes (number of nodes) and counts. If aggregated @@ -120,7 +121,7 @@ def s_comp_dist(H, s=1, aggregated=False, edges=True, return_singletons=True): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph s : positive integer, default is 1 aggregated : If aggregated is True, returns a dictionary of @@ -162,7 +163,7 @@ def toplex_dist(H, aggregated=False): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph aggregated : If aggregated is True, returns a dictionary of toplex sizes and counts in H. If aggregated @@ -184,7 +185,7 @@ def s_node_diameter_dist(H): """ Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph Returns ------- @@ -204,7 +205,7 @@ def s_edge_diameter_dist(H): """ Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph Returns ------- @@ -226,7 +227,7 @@ def info(H, node=None, edge=None): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph obj : optional either a node or edge uid from the hypergraph dictionary : optional @@ -270,7 +271,7 @@ def info_dict(H, node=None, edge=None): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph obj : optional either a node or edge uid from the hypergraph @@ -334,7 +335,7 @@ def dist_stats(H): Parameters ---------- - H : Hypergraph + H: hnx.Hypergraph Returns ------- diff --git a/hypernetx/utils/__init__.py b/hypernetx/utils/__init__.py index 95c004e8..817f6b94 100644 --- a/hypernetx/utils/__init__.py +++ b/hypernetx/utils/__init__.py @@ -2,7 +2,6 @@ HNXCount, DefaultOrderedDict, remove_row_duplicates, - create_labels, reverse_dictionary, ) from hypernetx.utils.decorators import not_implemented_for @@ -15,7 +14,6 @@ "HNXCount", "DefaultOrderedDict", "remove_row_duplicates", - "create_labels", "reverse_dictionary", "not_implemented_for", "HarryPotter", diff --git a/hypernetx/utils/decorators.py b/hypernetx/utils/decorators.py index 28cfcaac..c8f749b8 100644 --- a/hypernetx/utils/decorators.py +++ b/hypernetx/utils/decorators.py @@ -4,9 +4,9 @@ from decorator import decorator import hypernetx as hnx -from hypernetx.exception import NWHY_WARNING -__all__ = ["not_implemented_for", "warn_nwhy", "warn_to_be_deprecated"] + +__all__ = ["not_implemented_for", "warn_to_be_deprecated"] def not_implemented_for(*object_types): @@ -62,32 +62,6 @@ def _not_implemented_for(not_implemented_for_func, *args, **kwargs): return _not_implemented_for -def warn_nwhy(func): - """Decorator for methods that allow the deprecated `use_nwhy` kwarg - - As of HyperNetX v2.0.0, NWHy C++ backend is no longer supported. - Public references to the deprecated NWHy add-on will be removed from the Hypergraph - API in a future release. - - Warns - ----- - FutureWarning - If kwargs contain ``use_nwhy=True`` - """ - - @wraps(func) - def wrapper(*args, **kwargs): - if kwargs.get("use_nwhy"): - kwargs.update(use_nwhy=False) - warnings.simplefilter("always", FutureWarning) - warnings.warn(NWHY_WARNING, FutureWarning, stacklevel=2) - warnings.simplefilter("default", FutureWarning) - - return func(*args, **kwargs) - - return wrapper - - def warn_to_be_deprecated(func): """Decorator for methods that are to be deprecated diff --git a/hypernetx/utils/extras.py b/hypernetx/utils/extras.py index b52abd4f..40da474c 100644 --- a/hypernetx/utils/extras.py +++ b/hypernetx/utils/extras.py @@ -1,4 +1,4 @@ -from collections import OrderedDict, defaultdict +from collections import OrderedDict from collections.abc import Callable import numpy as np import pandas as pd @@ -8,7 +8,6 @@ "HNXCount", "DefaultOrderedDict", "remove_row_duplicates", - "create_labels", "reverse_dictionary", ] @@ -153,42 +152,6 @@ def remove_row_duplicates(data, weights=None, aggregateby="sum"): return data, G -def create_labels( - num_edges, - num_nodes, - edgeprefix="e", - nodeprefix="v", - edgelabel="Edges", - nodelabel="Nodes", -): - """ - Creates default labels for static entity sets derived without labels - - Parameters - ---------- - num_edges : int - - num_nodes : int - - edgeprefix : str, optional, default : 'e' - - nodeprefix : str, optional, default : 'v' - - edgelabel : str, optional, default : 'Edges' - - nodelabel : str, optional, default : 'Nodes' - - - Returns - ------- - OrderedDict - used for labels in constructing a EntitySet - """ - enames = np.array([f"{edgeprefix}{idx}" for idx in range(num_edges)]) - nnames = np.array([f"{nodeprefix}{jdx}" for jdx in range(num_nodes)]) - return OrderedDict([(edgelabel, enames), (nodelabel, nnames)]) - - def reverse_dictionary(d): new_d = 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+fail-under=7.00 # A comma-separated list of package or module names from where C extensions may # be loaded. Extensions are loading into the active Python interpreter and may diff --git a/pyproject.toml b/pyproject.toml index 7f235f4b..01afdfd1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,90 @@ +[tool.poetry] +name = "hypernetx" +version = "2.3.0" +description = "HyperNetX is a Python library for the creation and study of hypergraphs." +authors = ["Brenda Praggastis ", "Dustin Arendt ", + "Sinan Aksoy ", "Emilie Purvine ", + "Cliff Joslyn "] +license = "3-Clause BSD license" +readme = "README.md" +homepage = "https://pypi.org/project/hypernetx/" +repository = "https://github.com/pnnl/HyperNetX" +documentation = "https://hypernetx.readthedocs.io/en/latest/" +keywords = ["hypergraphs"] +packages = [ + {include = "hypernetx"}, + {include = "hypernetx/algorithms"}, + {include = "hypernetx/classes"}, + {include = "hypernetx/drawing"}, + {include = "hypernetx/reports"}, + {include = "hypernetx/utils"}, + {include = "hypernetx/utils/toys"}, +] + +[tool.poetry.dependencies] +python = "^3.10,<=3.12.3" +networkx = ">=3.3" +pandas = ">=2.2.2" +scikit-learn = ">=1.4.2" +celluloid = ">=0.2.0" +igraph = ">=0.11.4" + +[tool.poetry.group.widget] +optional = true +[tool.poetry.group.widget.dependencies] +jupyter-contrib-nbextensions = "^0.7.0" +ipywidgets = "7.7.5" +notebook = "6.4.12" +traitlets = "5.9.0" +concepts = "^0.9.2" +jupyter-dash = "^0.4.2" +dash = "^2.16.1" + +[tool.poetry.group.tutorials] +optional = true +[tool.poetry.group.tutorials.dependencies] +jupyter = "^1.0.0" + +[tool.poetry.group.test] +optional = true +[tool.poetry.group.test.dependencies] +pytest = "^8.1.1" +pytest-cov = "^5.0.0" +pytest-xdist = "^3.5.0" +pytest-env = "^1.1.3" +tox = "^4.14.2" +nbmake = "^1.5.3" + +[tool.poetry.group.lint] +optional = true +[tool.poetry.group.lint.dependencies] +pylint = "^3.1.0" +black = "^24.3.0" +flake8 = {version = "^7.0.0", python = "^3.9"} +pylint-exit = "^1.2.0" +pre-commit = {version = "^3.7.0", python = "^3.9"} +mypy = "^1.9.0" + +[tool.poetry.group.docs] +optional = true +[tool.poetry.group.docs.dependencies] +sphinx = {version = "^7.2.6", python = "^3.9"} +sphinx-rtd-theme = "^2.0.0" +sphinx-autobuild = {version = "^2024.2.4", python = "^3.9"} +sphinx-copybutton = "^0.5.2" + +[tool.poetry.group.release] +optional = true +[tool.poetry.group.release.dependencies] +commitizen = {version = "^3.20.0", optional = true} + [build-system] -requires = [ - "setuptools >= 65.3.0" +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +minversion = "6.0" +addopts = "-ra" +testpaths = [ + "tests" ] -build-backend = "setuptools.build_meta" diff --git a/pytest.ini b/pytest.ini deleted file mode 100644 index 937fc3a8..00000000 --- a/pytest.ini +++ /dev/null @@ -1,8 +0,0 @@ -[pytest] -minversion = 6.0 -; addopts are a set of optional arguments given to pytest: -; '-rA' will show a short test summary with the results for every test' -addopts = -rA -testpaths = - hypernetx/classes/tests - hypernetx/classes/algorithms diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 00000000..dcc14b80 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,151 @@ +alabaster==0.7.16 +anyio==4.3.0 +appnope==0.1.4 +argon2-cffi==23.1.0 +argon2-cffi-bindings==21.2.0 +astroid==3.1.0 +asttokens==2.4.1 +attrs==23.2.0 +Babel==2.14.0 +beautifulsoup4==4.12.3 +black==24.4.2 +bleach==6.1.0 +cachetools==5.3.3 +celluloid==0.2.0 +certifi==2024.2.2 +cffi==1.16.0 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +colorama==0.4.6 +comm==0.2.2 +contourpy==1.2.1 +coverage==7.5.0 +cycler==0.12.1 +debugpy==1.8.1 +decorator==5.1.1 +defusedxml==0.7.1 +dill==0.3.8 +distlib==0.3.8 +docutils==0.20.1 +execnet==2.1.1 +executing==2.0.1 +fastjsonschema==2.19.1 +filelock==3.14.0 +flake8==7.0.0 +fonttools==4.51.0 +h11==0.14.0 +identify==2.5.36 +idna==3.7 +igraph==0.11.4 +imagesize==1.4.1 +iniconfig==2.0.0 +ipykernel==6.29.4 +ipython==8.18.0 +ipython-genutils==0.2.0 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+watchfiles==0.21.0 +wcwidth==0.2.13 +webencodings==0.5.1 +websockets==12.0 +widgetsnbextension==3.6.6 diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index 30c3b1f1..00000000 --- a/setup.cfg +++ /dev/null @@ -1,113 +0,0 @@ -[mypy-setup.py] -ignore_errors = True - -[mypy] -exclude = (?x)( - tests/ # test directory - ) -pretty = True - -# Per-module options: -[mypy-igraph] -ignore_missing_imports = True - -[mypy-decorator] -ignore_missing_imports = True - -[mypy-celluloid] -ignore_missing_imports = True - -[mypy-matplotlib.*] -ignore_missing_imports = True - -[mypy-networkx.*] -ignore_missing_imports = True - -[mypy-sklearn.*] -ignore_missing_imports = True - -[mypy-scipy.*] -ignore_missing_imports = True - -[mypy-nwhy] -ignore_missing_imports = True - -[mypy-pandas] -ignore_missing_imports = True - -[metadata] -python_requires = >=3.8,<3.12 -description_file = README.md -name = hypernetx -author = Brenda Praggastis, Dustin Arendt, Sinan Aksoy, Emilie Purvine, Cliff Joslyn -author_email = hypernetx@pnnl.gov -description = HyperNetX is a Python library for the creation and study of hypergraphs. -url = https://github.com/pnnl/HyperNetX -long_description = file: LONG_DESCRIPTION.rst -long_description_content_type = text/x-rst -license = 3-Clause BSD license -license_files = - LICENSE.rst - -[options] -include_package_data=True -packages = - hypernetx - hypernetx.algorithms - hypernetx.classes - hypernetx.drawing - hypernetx.reports - hypernetx.utils - hypernetx.utils.toys -install_requires = - networkx>=2.2,<3.0 - numpy>=1.24.0,<2.0 - scipy>=1.1.0,<2.0 - matplotlib>3.0 - scikit-learn>=0.20.0 - pandas>=1.5.3 - decorator>=5.1.1 - typing-extensions>=4.8.0 - -[options.extras_require] -releases = - commitizen>=3.2.1 -lint = - pylint>=3.0.2 - pylint-exit>=1.2.0 - mypy>=1.7.0 - flake8>=6.1.0 - pre-commit>=3.2.2 -format = - black>=23.3.0 -testing = - pytest>=7.2.2 - pytest-cov>=4.1.0 - pytest-xdist>=3.2.1 - pytest-env - tox>=4.4.11 - nbmake>=1.4.1 - celluloid>=0.2.0 - igraph>=0.10.4 -tutorials = - jupyter>=1.0 - igraph>=0.10.4 - celluloid>=0.2.0 - shutup>=0.2.0 -widget = - hnxwidget>=0.1.1b3 - jupyter-contrib-nbextensions>=0.7.0 - jupyter-nbextensions-configurator>=0.6.2 -documentation = - sphinx<7 - sphinx-rtd-theme>=1.2.1 - sphinx-autobuild>=2021.3.14 - sphinx-copybutton>=0.5.1 -packaging = - build>=0.10.0 - twine>=4.0.2 - setuptools>=67.6.1 - tox>=4.4.11 -all = - celluloid>=0.2.0 - igraph>=0.10.4 diff --git a/setup.py b/setup.py deleted file mode 100644 index 16f14bb3..00000000 --- a/setup.py +++ /dev/null @@ -1,5 +0,0 @@ -from setuptools import setup - -__version__ = "2.2.0" - -setup(version=__version__) diff --git a/hypernetx/algorithms/tests/conftest.py b/tests/algorithms/conftest.py similarity index 99% rename from hypernetx/algorithms/tests/conftest.py rename to tests/algorithms/conftest.py index df70f7c6..cfdf401a 100644 --- a/hypernetx/algorithms/tests/conftest.py +++ b/tests/algorithms/conftest.py @@ -1,9 +1,8 @@ import pytest -import itertools as it -import networkx as nx -import hypernetx as hnx import numpy as np +import hypernetx as hnx + class TriLoop: """Example hypergraph with 2 two 1-cells and 1 2-cell forming a loop""" diff --git a/hypernetx/algorithms/tests/test_contagion.py b/tests/algorithms/test_contagion.py similarity index 99% rename from hypernetx/algorithms/tests/test_contagion.py rename to tests/algorithms/test_contagion.py index 184639bc..937530d2 100644 --- a/hypernetx/algorithms/tests/test_contagion.py +++ b/tests/algorithms/test_contagion.py @@ -12,6 +12,7 @@ import hypernetx as hnx import random + # Test the contagion functions def test_collective_contagion(): status = {0: "S", 1: "I", 2: "I", 3: "S", 4: "R"} diff --git a/hypernetx/algorithms/tests/test_generative.py b/tests/algorithms/test_generative.py similarity index 99% rename from hypernetx/algorithms/tests/test_generative.py rename to tests/algorithms/test_generative.py index f5124a0a..6b953dd5 100644 --- a/hypernetx/algorithms/tests/test_generative.py +++ b/tests/algorithms/test_generative.py @@ -1,10 +1,9 @@ import numpy as np -import pytest import hypernetx.algorithms.generative_models as gm -import hypernetx as hnx import random from scipy.sparse import coo_matrix + # Test the generative model functions def test_erdos_renyi(): random.seed(42) diff --git a/hypernetx/algorithms/tests/test_homology_mod_2.py b/tests/algorithms/test_homology_mod_2.py similarity index 98% rename from hypernetx/algorithms/tests/test_homology_mod_2.py rename to tests/algorithms/test_homology_mod_2.py index c4ca7034..65ea3a99 100644 --- a/hypernetx/algorithms/tests/test_homology_mod_2.py +++ b/tests/algorithms/test_homology_mod_2.py @@ -1,6 +1,3 @@ -import numpy as np -import pytest -import warnings from hypernetx.algorithms.homology_mod2 import * import hypernetx as hnx diff --git a/hypernetx/algorithms/tests/test_laplacians_clustering.py b/tests/algorithms/test_laplacians_clustering.py similarity index 86% rename from hypernetx/algorithms/tests/test_laplacians_clustering.py rename to tests/algorithms/test_laplacians_clustering.py index c8976bf1..f8324a2f 100644 --- a/hypernetx/algorithms/tests/test_laplacians_clustering.py +++ b/tests/algorithms/test_laplacians_clustering.py @@ -1,9 +1,5 @@ -import numpy as np -import pytest import warnings from hypernetx.algorithms.laplacians_clustering import * -import random -import hypernetx as hnx warnings.simplefilter("ignore") diff --git a/hypernetx/algorithms/tests/test_modularity.py b/tests/algorithms/test_modularity.py similarity index 100% rename from hypernetx/algorithms/tests/test_modularity.py rename to tests/algorithms/test_modularity.py diff --git a/hypernetx/algorithms/tests/test_s_centrality_measures.py b/tests/algorithms/test_s_centrality_measures.py similarity index 98% rename from hypernetx/algorithms/tests/test_s_centrality_measures.py rename to tests/algorithms/test_s_centrality_measures.py index faea9da1..eca16e29 100644 --- a/hypernetx/algorithms/tests/test_s_centrality_measures.py +++ b/tests/algorithms/test_s_centrality_measures.py @@ -1,8 +1,9 @@ -import numpy as np import pytest -import warnings + from hypernetx.algorithms.s_centrality_measures import * +import warnings + warnings.simplefilter("ignore") diff --git a/tests/classes/conftest.py b/tests/classes/conftest.py new file mode 100644 index 00000000..52712d8f --- /dev/null +++ b/tests/classes/conftest.py @@ -0,0 +1,279 @@ +from typing import Mapping, Iterable + +import pytest +import os +import networkx as nx +import pandas as pd +import numpy as np +import scipy +from hypernetx import Hypergraph +from hypernetx.classes.factory import dict_factory_method +from collections import OrderedDict, namedtuple + + +class SevenBySix: + """Example hypergraph with 7 nodes and 6 edges.""" + + def __init__(self): + # Nodes + SBS_Nodes = namedtuple("SBS_Nodes", "A C E K T1 T2 V") + a, c, e, k, t1, t2, v = ("A", "C", "E", "K", "T1", "T2", "V") + self.nodes = SBS_Nodes(a, c, e, k, t1, t2, v) + + # Edges + SBS_Edges = namedtuple("SBS_Edges", "I L O P R S") + i, l, o, p, r, s = ("I", "L", "O", "P", "R", "S") + self.edges = SBS_Edges(i, l, o, p, r, s) + + # Labels + self.labels = OrderedDict( + [ + ("edges", list(self.edges)), + ("nodes", list(self.nodes)), + ] + ) + + # list of iterables for setsystem param + self.edges_list = [{a, c, k}, {a, e}, {a, k, t2, v}, {c, e}, {t1, t2}, {k, t2}] + + # dict of dict for setsystem param + self.edgedict = OrderedDict( + [ + (p, {a, c, k}), + (r, {a, e}), + (s, {a, k, t2, v}), + (l, {c, e}), + (o, {t1, t2}), + (i, {k, t2}), + ] + ) + + # dataframe for setsystem param + self.dataframe = create_dataframe(self.edgedict) + + # np.ndarray for setsystem param + np_data = [ + [p, a], + [p, c], + [p, k], + [r, a], + [r, e], + [s, a], + [s, k], + [s, t2], + [s, v], + [l, c], + [l, e], + [o, t1], + [o, t2], + [i, k], + [i, t2], + ] + self.ndarray = np.array(np_data) + self.properties = dict_factory_method(self.edgedict, 2) + + # data for testing + # row corresponds to self.nodes (7) + # columns corresponds to self.edges (6) + self.incidence_matrix = scipy.sparse.csr_matrix( + [ + [0, 0, 0, 1, 1, 1], + [0, 1, 0, 1, 0, 0], + [0, 1, 0, 0, 1, 0], + [1, 0, 0, 1, 0, 1], + [0, 0, 1, 0, 0, 0], + [1, 0, 1, 0, 0, 1], + [0, 0, 0, 0, 0, 1], + ] + ) + self.s1_adjacency_matrx = scipy.sparse.csr_matrix( + [ + [0, 1, 1, 1, 0, 1, 1], + [1, 0, 1, 1, 0, 0, 0], + [1, 1, 0, 0, 0, 0, 0], + [1, 1, 0, 0, 0, 1, 1], + [0, 0, 0, 0, 0, 1, 0], + [1, 0, 0, 1, 1, 0, 1], + [1, 0, 0, 1, 0, 1, 0], + ] + ) + self.s1_edge_adjacency_matrx = scipy.sparse.csr_matrix( + [ + [0, 0, 1, 1, 0, 1], + [0, 0, 0, 1, 1, 0], + [1, 0, 0, 0, 0, 1], + [1, 1, 0, 0, 1, 1], + [0, 1, 0, 1, 0, 1], + [1, 0, 1, 1, 1, 0], + ] + ) + + # row = number of nodes = 6 + # columns = number of edges = 7 + self.arr = np.array( + [ + [0, 0, 0, 1, 0, 1, 0], + [0, 1, 1, 0, 0, 0, 0], + [0, 0, 0, 0, 1, 1, 0], + [1, 1, 0, 1, 0, 0, 0], + [1, 0, 1, 0, 0, 0, 0], + [1, 0, 0, 1, 0, 1, 1], + ] + ) + + self.data = np.array( + [ + [3, 0], + [3, 1], + [3, 3], + [4, 0], + [4, 2], + [5, 0], + [5, 3], + [5, 5], + [5, 6], + [1, 1], + [1, 2], + [2, 4], + [2, 5], + [0, 3], + [0, 5], + ] + ) + + +@pytest.fixture +def sevenbysix() -> SevenBySix: + return SevenBySix() + + +class TriLoop: + """Example hypergraph with 2 two 1-cells and 1 2-cell forming a loop""" + + def __init__(self): + A, B, C, D = "A", "B", "C", "D" + AB, BC, ACD = "AB", "BC", "ACD" + self.edgedict = {AB: {A, B}, BC: {B, C}, ACD: {A, C, D}} + + +@pytest.fixture +def triloop(): + return TriLoop() + + +class TriLoop2: + """Triloop example with redundant node and edge""" + + def __init__(self): + # Nodes + A, B, C, D, E = "A", "B", "C", "D", "E" + # Edges + AB, BC, ACD, ACD2 = "AB", "BC", "ACD", "ACD2" + self.nodes = set([A, B, C, D, E]) + + self.edgedict = {AB: {A, B}, BC: {B, C}, ACD: {A, C, D, E}, ACD2: {A, C, D, E}} + self.name = "TriLoop2" + + +@pytest.fixture +def triloop2(): + return TriLoop2() + + +class SevenBySixDupes: + def __init__(self): + # Nodes + a, c, e, f, k, t1, t2, v = ("A", "C", "E", "F", "K", "T1", "T2", "V") + self.nodes = (a, c, e, f, k, t1, t2, v) + + # Edges + i, l, m, o, p, r, s = ("I", "L", "M", "O", "P", "R", "S") + self.edges = (i, l, m, o, p, r, s) + + self.edgedict = OrderedDict( + [ + (i, {k, t2}), + (l, {c, e, f}), + (m, {c, e, f}), + (o, {t1, t2}), + (p, {a, c, k}), + (r, {a, e, f}), + (s, {a, k, t2, v}), + ] + ) + + self.dataframe = create_dataframe(self.edgedict) + + +@pytest.fixture +def sevenbysix_dupes(): + return SevenBySixDupes() + + +class LesMis: + def __init__(self): + self.edgedict = OrderedDict( + [ + (1, {"CL", "CV", "GE", "GG", "MB", "MC", "ME", "MY", "NP", "SN"}), + (2, {"IS", "JL", "JV", "MB", "ME", "MR", "MT", "MY", "PG"}), + (3, {"BL", "DA", "FA", "FN", "FT", "FV", "LI", "ZE"}), + (4, {"CO", "FN", "TH", "TM"}), + (5, {"BM", "FF", "FN", "JA", "JV", "MT", "MY", "VI"}), + (6, {"FN", "JA", "JV"}), + ( + 7, + { + "BM", + "BR", + "CC", + "CH", + "CN", + "FN", + "JU", + "JV", + "PO", + "SC", + "SP", + "SS", + }, + ), + (8, {"FN", "JA", "JV", "PO", "SP", "SS"}), + ] + ) + + +@pytest.fixture +def lesmis(): + return LesMis() + + +@pytest.fixture +def sample_df(): + fname = os.path.join(os.path.dirname(__file__), "sample.csv") + return pd.read_csv(fname, index_col=0) + + +@pytest.fixture +def nx_graph(): + return nx.karate_club_graph() + + +@pytest.fixture +def hnx_graph_from_nx_graph(nx_graph): + return Hypergraph({f"e{i}": e for i, e in enumerate(nx_graph.edges())}) + + +def create_dataframe(data: Mapping[str, Iterable[str]]) -> pd.DataFrame: + """Create a valid pandas Dataframe that can be used to create a Hypergraph""" + + # convert the dictionary, data, into a Series where the dictionary keys are the index and the values + # are the values of the Series + # In addition, for any values that are list-like, transform each element of a list-like value into its own row + # In other words, `explode()`, will enumerate all the incidences from `data` + data_t = pd.Series(data=data).explode() + + # create a Dataframe from `data_t` with two columns labeled 0 and 1 + # the indexes from `data_t`, which is the keys of the original dictionary `data`, will be assigned to column 0 + # the values from `data_t`, which is the values from the original dictionary `data`, will be assigned to column 1 + + return pd.DataFrame(data={0: data_t.index.to_list(), 1: data_t.values}) diff --git a/hypernetx/classes/tests/sample.csv b/tests/classes/sample.csv similarity index 100% rename from hypernetx/classes/tests/sample.csv rename to tests/classes/sample.csv diff --git a/tests/classes/test_hypergraph.py b/tests/classes/test_hypergraph.py new file mode 100644 index 00000000..341c2e5e --- /dev/null +++ b/tests/classes/test_hypergraph.py @@ -0,0 +1,1841 @@ +from collections import OrderedDict + +import pytest +import numpy as np +import pandas as pd +import networkx as nx +import scipy + +from networkx.algorithms import bipartite + +from hypernetx import HyperNetXError +from hypernetx.classes.hyp_view import HypergraphView +from hypernetx.classes.property_store import PropertyStore +from hypernetx.classes.hypergraph import Hypergraph + + +#################Tests on constructors and from_ ################################ + + +def test_constructor_on_list_of_edges(sevenbysix): + hg = Hypergraph(sevenbysix.edges_list) + assert len(hg.edges) == len(sevenbysix.edges) + assert len(hg.nodes) == len(sevenbysix.nodes) + + assert hg.degree(sevenbysix.nodes.A) == 3 + assert hg.order() == len(sevenbysix.nodes) + + +def test_constructor_on_dict_of_edges_to_nodes(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert len(hg.edges) == len(sevenbysix.edges) + assert len(hg.nodes) == len(sevenbysix.nodes) + + assert hg.degree(sevenbysix.nodes.A) == 3 + assert hg.order() == len(sevenbysix.nodes) + + +def test_constructor_on_dataframe(sevenbysix): + hg = Hypergraph(sevenbysix.dataframe) + assert len(hg.edges) == len(sevenbysix.edges) + assert len(hg.nodes) == len(sevenbysix.nodes) + + assert hg.degree(sevenbysix.nodes.A) == 3 + assert hg.order() == len(sevenbysix.nodes) + + +def test_constructor_on_ndarray(sevenbysix): + hg = Hypergraph(sevenbysix.ndarray) + assert len(hg.edges) == len(sevenbysix.edges) + assert len(hg.nodes) == len(sevenbysix.nodes) + + assert hg.degree(sevenbysix.nodes.A) == 3 + assert hg.order() == len(sevenbysix.nodes) + + +@pytest.mark.parametrize("h", [Hypergraph(), Hypergraph({})]) +def test_construct_empty_hypergraph(h): + h = Hypergraph() + assert h.shape == (0, 0) + assert h.edges.is_empty() + assert h.nodes.is_empty() + + +def test_from_incidence_dataframe_on_lesmis(lesmis): + h = Hypergraph(lesmis.edgedict) + df = h.incidence_dataframe() + hg = Hypergraph.from_incidence_dataframe(df) + assert hg.shape == (40, 8) + assert hg.size(3) == 8 + assert hg.degree("JA") == 3 + + +def test_from_incidence_dataframe(): + matrix = np.array([[1, 1, 0, 0], [0, 1, 1, 0], [1, 0, 1, 0]]) + index = ["A", "B", "C"] + columns = ["a", "b", "c", "d"] + df = pd.DataFrame(matrix, index=index, columns=columns) + + h = Hypergraph.from_incidence_dataframe(df) + + assert "b" in h.edges() + assert "d" not in h.edges() + assert "C" in h.edges["a"] + + +def test_from_incidence_dataframe_with_key(): + matrix = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) + index = ["A", "B", "C"] + columns = ["a", "b", "c", "d"] + df = pd.DataFrame(matrix, index=index, columns=columns) + + h = Hypergraph.from_incidence_dataframe(df, key=lambda x: x > 4) + + assert "A" in h.edges["a"] + assert "C" not in h.edges["a"] + + +def test_from_incidence_dataframe_raises_error(): + with pytest.raises(HyperNetXError): + Hypergraph.from_incidence_dataframe(None) + + +def test_from_incidence_dataframe_with_fillna(sample_df): + h = Hypergraph.from_incidence_dataframe(sample_df, fillna=1) + assert "A" in h.edges["b"] + + +def test_from_numpy_array_on_sbs(sevenbysix): + hg = Hypergraph.from_numpy_array(sevenbysix.arr) + + assert len(hg.nodes) == len(sevenbysix.arr) + assert len(hg.edges) == len(sevenbysix.arr[0]) + assert hg.dim("e5") == 2 + assert set(hg.neighbors("v2")) == {"v0", "v5"} + + +def test_from_numpy_array_with_node_edge_names(): + matrix = np.array( + [[0, 1, 1, 0, 1], [1, 1, 1, 1, 1], [1, 0, 0, 1, 0], [0, 0, 0, 0, 1]] + ) + node_names = ["A", "B", "C", "D"] + edge_names = ["a", "b", "c", "d", "e"] + + h = Hypergraph.from_numpy_array( + matrix, node_names=node_names, edge_names=edge_names + ) + + assert "a" in h.edges() + assert "A" in h.nodes() + assert "B" in h.edges["a"] + + +def test_from_numpy_array_with_key(): + """ + matrix should look like the following: + a b c d + A 5 0 7 2 + B 6 8 1 1 + C 2 5 1 9 + + With key=lambda x: x > 4, the Hypergraph will only consider valid incidences to have values greater than 4 + """ + matrix = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) + h = Hypergraph.from_numpy_array( + matrix, + node_names=["A", "B", "C"], + edge_names=["a", "b", "c", "d"], + key=lambda x: x > 4, + ) + assert "A" in h.edges["a"] + assert "C" not in h.edges["a"] + + +def test_from_numpy_array_raises_error_incorrect_dimensions(): + with pytest.raises(HyperNetXError): + np_data = np.array([]) + Hypergraph.from_numpy_array(np_data) + + +def test_from_numpy_array_raises_error_incorrect_nodenames(): + with pytest.raises(HyperNetXError): + matrix = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) + Hypergraph.from_numpy_array( + matrix, + node_names=["r", "o", "m", "a"], + edge_names=["a", "b", "c", "d"], + key=lambda x: x > 4, + ) + + +def test_from_numpy_array_raises_error_incorrect_edgenames(): + with pytest.raises(HyperNetXError): + matrix = np.array([[5, 0, 7, 2], [6, 8, 1, 1], [2, 5, 1, 9]]) + Hypergraph.from_numpy_array( + matrix, + node_names=["A", "B", "C"], + edge_names=["F", "O", "O"], + key=lambda x: x > 4, + ) + + +def test_from_bipartite_on_hnx_bipartite(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + hg_b = Hypergraph.from_bipartite(hg.bipartite()) + assert len(hg_b.edges) == len(sevenbysix.edges) + assert len(hg_b.nodes) == 7 + + +def test_from_bipartite_on_complete_bipartite(): + g = nx.complete_bipartite_graph(2, 3) + left, right = nx.bipartite.sets(g) + h = Hypergraph.from_bipartite(g) + nodes = {*h.nodes} + edges = {*h.edges} + assert left.issubset(edges) + assert right.issubset(nodes) + + with pytest.raises(Exception) as excinfo: + h.edge_diameter(s=4) + assert "Hypergraph is not s-connected." in str(excinfo.value) + + +#################tests on methods ################################ +def test_len(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert len(hg) == len(sevenbysix.nodes) + + +def test_contains(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert sevenbysix.nodes.A in hg + + +def test_iterator(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + nodes = [key for key in hg] + assert sorted(nodes) == list(sevenbysix.nodes) + + +def test_getitem(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + nodes = hg[sevenbysix.nodes.C] + assert sorted(nodes) == [sevenbysix.nodes.A, sevenbysix.nodes.E, sevenbysix.nodes.K] + + +def test_get_linegraph(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert len(hg.edges) == len(sevenbysix.edges) + assert len(hg.nodes) == len(sevenbysix.nodes) + + lg = hg.get_linegraph(s=1) + + diff = set(lg).difference(set(sevenbysix.edges)) + assert len(diff) == 0 + + +def test_add_edge_no_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_edge = "X" + + assert h.shape == (7, 6) + assert new_edge not in h.edges + + new_hg = h.add_edge(new_edge) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert new_edge not in new_hg.edges + assert new_edge not in new_hg.incidences + + # The new edge will be saved in PropertyStore + assert new_edge in new_hg.edges.property_store + assert new_hg.edges.property_store[new_edge] == {"weight": 1, "misc_properties": {}} + + +def test_add_edge_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_edge = "X" + + assert h.shape == (7, 6) + assert new_edge not in list(h.edges) + + new_hg = h.add_edge(new_edge, hair_color="red", age=42) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert new_edge not in new_hg.edges + assert new_edge not in new_hg.incidences + + # The new edge will be saved in PropertyStore + assert new_edge in new_hg.edges.property_store + assert new_hg.edges.property_store[new_edge] == { + "hair_color": "red", + "age": 42, + "weight": 1, + } + + +@pytest.mark.parametrize( + "new_edge, data, expected_props", + [ + ("X", {}, {"weight": 1, "misc_properties": {}}), + ( + "X", + {"hair_color": "orange", "age": 42}, + {"hair_color": "orange", "age": 42, "weight": 1}, + ), + ], +) +def test_add_edges_from_on_list_of_single_edge( + sevenbysix, new_edge, data, expected_props +): + h = Hypergraph(sevenbysix.edgedict) + assert h.shape == (7, 6) + assert new_edge not in h.edges + + new_hg = h.add_edges_from([(new_edge, data)]) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert new_edge not in new_hg.edges + assert new_edge not in new_hg.incidences + + # The new edge will be saved in PropertyStore + assert new_edge in new_hg.edges.property_store + assert new_hg.edges.property_store[new_edge] == expected_props + + +def test_add_edges_from_on_list_of_multiple_edges_no_properties(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edges = [("X", {}), ("Y", {})] + new_edges = [edge[0] for edge in edges] + + assert h.shape == (7, 6) + assert all(new_edge not in h.edges for new_edge in new_edges) + + new_hg = h.add_edges_from(edges) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert all(new_edge not in new_hg.edges for new_edge in new_edges) + assert all(new_edge not in new_hg.incidences for new_edge in new_edges) + + # The new edge will be saved in PropertyStore + assert all(new_edge in new_hg.edges.property_store for new_edge in new_edges) + assert all( + new_hg.edges.property_store[new_edge] == {"weight": 1, "misc_properties": {}} + for new_edge in new_edges + ) + + +def test_add_edges_from_on_list_of_multiple_edges_with_properties(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edges = [("X", {"hair_color": "red"}), ("Y", {"age": "42"})] + new_edges = [edge[0] for edge in edges] + + assert h.shape == (7, 6) + assert all(new_edge not in h.edges for new_edge in new_edges) + + new_hg = h.add_edges_from(edges) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert all(new_edge not in new_hg.edges for new_edge in new_edges) + assert all(new_edge not in new_hg.incidences for new_edge in new_edges) + + # The new edge will be saved in PropertyStore + assert all(new_edge in new_hg.edges.property_store for new_edge in new_edges) + assert new_hg.edges.property_store["X"] == {"hair_color": "red", "weight": 1} + assert new_hg.edges.property_store["Y"] == {"age": "42", "weight": 1} + + +def test_add_edges_from_on_list_of_edges_no_data(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_edges = ["X", "Y"] + + assert h.shape == (7, 6) + assert all(new_edge not in h.edges for new_edge in new_edges) + + new_hg = h.add_edges_from(new_edges) + + # the Hypergraph should not increase its number of edges and incidences because the current behavior of adding + # an edge does not connect two or more nodes. + assert new_hg.shape == (7, 6) + assert all(new_edge not in new_hg.edges for new_edge in new_edges) + assert all(new_edge not in new_hg.incidences for new_edge in new_edges) + + # The new edge will be saved in PropertyStore + assert all(new_edge in new_hg.edges.property_store for new_edge in new_edges) + assert all( + {"weight": 1, "misc_properties": {}} == new_hg.edges.property_store[new_edge] + for new_edge in new_edges + ) + + +def test_add_edges_from_on_list_of_edges_with_and_without_data(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_edge1 = "X" + new_edge2 = "Y" + new_edge3 = "Z" + new_edges = [new_edge1, new_edge2, new_edge3] + + assert h.shape == (7, 6) + assert all(new_edge not in h.edges for new_edge in new_edges) + + new_hg = h.add_edges_from( + [new_edge1, (new_edge2, {}), (new_edge3, {"hair_color": "red"})] + ) + + assert new_hg.shape == (7, 6) + assert all(new_edge not in new_hg.edges for new_edge in new_edges) + + # The new edge will be saved in PropertyStore + assert all(new_edge in new_hg.edges.property_store for new_edge in new_edges) + + assert new_hg.edges.property_store[new_edge1] == { + "weight": 1, + "misc_properties": {}, + } + assert new_hg.edges.property_store[new_edge2] == { + "weight": 1, + "misc_properties": {}, + } + assert new_hg.edges.property_store[new_edge3] == {"weight": 1, "hair_color": "red"} + + +def test_add_node_no_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_node = "Y" + + assert h.shape == (7, 6) + assert new_node not in h.nodes + + new_hg = h.add_node(new_node) + + # the Hypergraph should not increase its number of nodes because the added node is not associated with any edge + assert new_hg.shape == (7, 6) + assert new_node not in new_hg.nodes + + # Check PropertyStore + assert new_node in new_hg.nodes.property_store + assert new_hg.nodes.property_store[new_node] == {"weight": 1, "misc_properties": {}} + + +def test_add_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_node = "Y" + + assert h.shape == (7, 6) + assert new_node not in h.nodes + + new_hg = h.add_node(new_node, hair_color="red", age=42) + + # the Hypergraph should not increase its number of nodes because the added node is not associated with any edge + assert new_hg.shape == (7, 6) + assert new_node not in new_hg.nodes + + # Check PropertyStore + assert new_node in new_hg.nodes.property_store + assert new_hg.nodes.property_store[new_node] == { + "hair_color": "red", + "age": 42, + "weight": 1, + } + + +@pytest.mark.parametrize( + "new_node, data, expected_props", + [ + ("B", {}, {"weight": 1, "misc_properties": {}}), + ( + "B", + {"hair_color": "orange", "age": 42}, + {"hair_color": "orange", "age": 42, "weight": 1}, + ), + ], +) +def test_add_nodes_from_on_list_of_single_node( + sevenbysix, new_node, data, expected_props +): + h = Hypergraph(sevenbysix.edgedict) + assert h.shape == (7, 6) + assert new_node not in h.nodes + + new_hg = h.add_nodes_from([(new_node, data)]) + + assert new_hg.shape == (7, 6) + assert new_node not in new_hg.nodes + + # The new node will be saved in PropertyStore + assert new_node in new_hg.nodes.property_store + assert new_hg.nodes.property_store[new_node] == expected_props + + +def test_add_nodes_from_on_list_of_multiple_nodes_no_properties(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + nodes = [("B", {}), ("D", {})] + new_nodes = [node[0] for node in nodes] + + assert h.shape == (7, 6) + assert all(new_node not in h.nodes for new_node in new_nodes) + + new_hg = h.add_nodes_from(nodes) + + assert new_hg.shape == (7, 6) + assert all(new_node not in new_hg.nodes for new_node in new_nodes) + + assert all(new_node in new_hg.nodes.property_store for new_node in new_nodes) + assert all( + new_hg.nodes.property_store[node] == {"weight": 1, "misc_properties": {}} + for node in new_nodes + ) + + +def test_add_nodes_from_on_list_of_multiple_nodes_with_properties(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + nodes = [("B", {"hair_color": "red"}), ("D", {"age": "42"})] + new_nodes = [node[0] for node in nodes] + + assert h.shape == (7, 6) + assert all(new_node not in h.nodes for new_node in new_nodes) + + new_hg = h.add_nodes_from(nodes) + + assert new_hg.shape == (7, 6) + assert all(new_node not in new_hg.nodes for new_node in new_nodes) + + assert all(new_node in new_hg.nodes.property_store for new_node in new_nodes) + assert new_hg.nodes.property_store["B"] == {"hair_color": "red", "weight": 1} + assert new_hg.nodes.property_store["D"] == {"age": "42", "weight": 1} + + +def test_add_nodes_from_on_list_of_nodes_no_data(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_nodes = ["B", "D"] + + assert h.shape == (7, 6) + assert all(new_node not in h.nodes for new_node in new_nodes) + + new_hg = h.add_nodes_from(new_nodes) + + assert new_hg.shape == (7, 6) + assert all(new_node not in new_hg.nodes for new_node in new_nodes) + + assert all(new_node in new_hg.nodes.property_store for new_node in new_nodes) + assert all( + {"weight": 1, "misc_properties": {}} == new_hg.nodes.property_store[new_node] + for new_node in new_nodes + ) + + +def test_add_nodes_from_on_list_of_nodes_with_and_without_data(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + new_node1 = "B" + new_node2 = "D" + new_node3 = "F" + new_nodes = [new_node1, new_node2, new_node3] + + assert h.shape == (7, 6) + assert all(new_node not in h.nodes for new_node in new_nodes) + + new_hg = h.add_nodes_from( + [new_node1, (new_node2, {}), (new_node3, {"hair_color": "red"})] + ) + + assert new_hg.shape == (7, 6) + assert all(new_node not in new_hg.nodes for new_node in new_nodes) + + # The new edge will be saved in PropertyStore + assert all(new_node in new_hg.nodes.property_store for new_node in new_nodes) + + assert new_hg.nodes.property_store[new_node1] == { + "weight": 1, + "misc_properties": {}, + } + assert new_hg.nodes.property_store[new_node2] == { + "weight": 1, + "misc_properties": {}, + } + assert new_hg.nodes.property_store[new_node3] == {"weight": 1, "hair_color": "red"} + + +def test_add_incidence_on_existing_edges_node_no_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "P" + node = "E" + new_incidence = (edge, node) + + assert edge in h.edges + assert node in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + new_hg = h.add_incidence(edge, node) + + # the Hypergraph should not increase its number of edges and nodes because no new edges or nodes were added + assert new_hg.shape == (7, 6) + assert new_incidence in new_hg.incidences + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "misc_properties": {}, + } + + +def test_add_incidence_user_on_existing_edges_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "P" + node = "E" + new_incidence = (edge, node) + + assert edge in h.edges + assert node in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + new_hg = h.add_incidence(edge, node, hair_color="red") + + # the Hypergraph should not increase its number of edges and nodes because no new edges or nodes were added + assert new_hg.shape == (7, 6) + assert new_incidence in new_hg.incidences + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_incidence_on_new_edge_new_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "X" + node = "B" + new_incidence = (edge, node) + + assert edge not in h.edges + assert node not in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + new_hg = h.add_incidence(edge, node, hair_color="red") + + # the Hypergraph should increase its number of edges and nodes because a new incidence was added + assert new_hg.shape == (8, 7) + assert new_incidence in new_hg.incidences + assert edge in new_hg.edges + assert node in new_hg.nodes + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_incidences_from_on_existing_edges_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "P" + node = "E" + new_incidence = (edge, node) + + assert edge in h.edges + assert node in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + incidences = [(edge, node, {"hair_color": "red"})] + new_hg = h.add_incidences_from(incidences) + + # the Hypergraph should not increase its number of edges and nodes because no new edges or nodes were added + assert new_hg.shape == (7, 6) + assert new_incidence in new_hg.incidences + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_incidences_from_on_new_edge_new_node(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + + edge = "X" + node = "B" + new_incidence = (edge, node) + + assert edge not in h.edges + assert node not in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + incidences = [(edge, node)] + new_hg = h.add_incidences_from(incidences) + + # the Hypergraph should increase its number of edges and nodes because a new incidence was added + assert new_hg.shape == (8, 7) + assert new_incidence in new_hg.incidences + assert edge in new_hg.edges + assert node in new_hg.nodes + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "misc_properties": {}, + } + + +def test_add_incidences_from_on_new_edge_new_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + + edge = "X" + node = "B" + new_incidence = (edge, node) + + assert edge not in h.edges + assert node not in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + incidences = [(edge, node, {"hair_color": "red"})] + new_hg = h.add_incidences_from(incidences) + + # the Hypergraph should increase its number of edges and nodes because a new incidence was added + assert new_hg.shape == (8, 7) + assert new_incidence in new_hg.incidences + assert edge in new_hg.edges + assert node in new_hg.nodes + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_nodes_to_edges_on_existing_nodes_edges_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "P" + node = "E" + new_incidence = (edge, node) + + assert edge in h.edges + assert node in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + edge_dict = {edge: {node: {"hair_color": "red"}}} + new_hg = h.add_nodes_to_edges(edge_dict) + + # the Hypergraph should not increase its number of edges and nodes because no new edges or nodes were added + assert new_hg.shape == (7, 6) + assert new_incidence in new_hg.incidences + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_nodes_to_edges_on_existing_nodes_edges(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + edge = "P" + node = "E" + new_incidence = (edge, node) + + assert edge in h.edges + assert node in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + edge_dict = {edge: [node]} + new_hg = h.add_nodes_to_edges(edge_dict) + + # the Hypergraph should not increase its number of edges and nodes because no new edges or nodes were added + assert new_hg.shape == (7, 6) + assert new_incidence in new_hg.incidences + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "misc_properties": {}, + } + + +def test_add_nodes_to_edges_on_new_edge_new_node_with_attr(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + + edge = "X" + node = "B" + new_incidence = (edge, node) + + assert edge not in h.edges + assert node not in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + edge_dict = {edge: {node: {"hair_color": "red"}}} + new_hg = h.add_nodes_to_edges(edge_dict) + + # the Hypergraph should increase its number of edges and nodes because a new incidence was added + assert new_hg.shape == (8, 7) + assert new_incidence in new_hg.incidences + assert edge in new_hg.edges + assert node in new_hg.nodes + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "hair_color": "red", + } + + +def test_add_nodes_to_edges_on_new_edge_new_node(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + + edge = "X" + node = "B" + new_incidence = (edge, node) + + assert edge not in h.edges + assert node not in h.nodes + assert h.shape == (7, 6) + assert new_incidence not in h.incidences + + edge_dict = {edge: [node]} + new_hg = h.add_nodes_to_edges(edge_dict) + + # the Hypergraph should increase its number of edges and nodes because a new incidence was added + assert new_hg.shape == (8, 7) + assert new_incidence in new_hg.incidences + assert edge in new_hg.edges + assert node in new_hg.nodes + + # Check PropertyStore + assert new_incidence in new_hg.incidences.property_store + assert new_hg.incidences.property_store[new_incidence] == { + "weight": 1, + "misc_properties": {}, + } + + +def test_clone(sevenbysix): + original_hg = Hypergraph(sevenbysix.edgedict) + cloned_hg = original_hg.clone() + assert original_hg == cloned_hg + assert cloned_hg != HypergraphView(None, None) + + +@pytest.mark.parametrize("edges_to_remove", ["O", ["O"]]) +def test_remove_edges_inplace(sevenbysix, edges_to_remove): + hg = Hypergraph(sevenbysix.edgedict, name="sbs") + original_hg_id = id(hg) + original_hg_name = hg.name + + # shape returns (#nodes, #edges) + assert hg.shape == (len(sevenbysix.nodes), len(sevenbysix.edges)) + + # remove an edge containing nodes that are in other edges + # the number of nodes should not decrease + hg = hg.remove_edges(sevenbysix.edges.P) + assert hg.shape == (len(sevenbysix.nodes), len(sevenbysix.edges) - 1) + assert id(hg) == original_hg_id + assert hg.name == original_hg_name + + # remove an edge containing a singleton ear (i.e. a node not present in other edges) + # the number of nodes should decrease by exactly one + hg = hg.remove_edges(edges_to_remove) + assert hg.shape == (len(sevenbysix.nodes) - 1, len(sevenbysix.edges) - 2) + assert id(hg) == original_hg_id + assert hg.name == original_hg_name + + +@pytest.mark.parametrize("edges_to_remove", ["O", ["O"]]) +def test_remove_edges_not_inplace(sevenbysix, edges_to_remove): + hg = Hypergraph(sevenbysix.edgedict, name="sbs") + original_hg_id = id(hg) + original_hg_name = hg.name + new_name = "sbs_new" + + # shape returns (#nodes, #edges) + assert hg.shape == (len(sevenbysix.nodes), len(sevenbysix.edges)) + + # remove an edge containing nodes that are in other edges + # the number of nodes should not decrease, number of edges should decrease by exactly one + hg = hg.remove_edges(sevenbysix.edges.P, name=new_name, inplace=False) + assert hg.shape == (len(sevenbysix.nodes), len(sevenbysix.edges) - 1) + assert id(hg) != original_hg_id + assert original_hg_name != hg.name + assert hg.name == new_name + + # remove an edge containing a singleton ear (i.e. a node not present in other edges) + # the number of nodes should decrease by exactly one, number of edges should decrease by exactly two + hg = hg.remove_edges(edges_to_remove, name=new_name, inplace=False) + assert hg.shape == (len(sevenbysix.nodes) - 1, len(sevenbysix.edges) - 2) + assert id(hg) != original_hg_id + assert original_hg_name != hg.name + assert hg.name == new_name + + +@pytest.mark.parametrize("nodes_to_remove", ["A", ["A"]]) +def test_remove_nodes_inplace(sevenbysix, nodes_to_remove): + hg = Hypergraph(sevenbysix.edgedict, name="sbs") + original_hg_id = id(hg) + original_hg_name = hg.name + + assert sevenbysix.nodes.A in hg.nodes + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.P] + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.R] + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.S] + + hg_new = hg.remove_nodes(nodes_to_remove) + + assert sevenbysix.nodes.A not in hg_new.nodes + assert sevenbysix.nodes.A not in hg_new.edges[sevenbysix.edges.P] + assert sevenbysix.nodes.A not in hg_new.edges[sevenbysix.edges.R] + assert sevenbysix.nodes.A not in hg_new.edges[sevenbysix.edges.S] + + assert id(hg) == original_hg_id + assert hg_new.name == original_hg_name + + +@pytest.mark.parametrize("nodes_to_remove", ["A", ["A"]]) +def test_remove_nodes_not_inplace(sevenbysix, nodes_to_remove): + hg = Hypergraph(sevenbysix.edgedict, name="sbs") + original_hg_id = id(hg) + original_hg_name = hg.name + new_name = "sbs_new" + + assert sevenbysix.nodes.A in hg.nodes + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.P] + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.R] + assert sevenbysix.nodes.A in hg.edges[sevenbysix.edges.S] + + hg = hg.remove_nodes(nodes_to_remove, name=new_name, inplace=False) + + assert sevenbysix.nodes.A not in hg.nodes + assert sevenbysix.nodes.A not in hg.edges[sevenbysix.edges.P] + assert sevenbysix.nodes.A not in hg.edges[sevenbysix.edges.R] + assert sevenbysix.nodes.A not in hg.edges[sevenbysix.edges.S] + + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + +def test_remove_edges_nodes_incidences_inplace(triloop2): + # triloop2 is a hypergraph of the following shape: + # {AB: {A, B}, BC: {B, C}, ACD: {A, C, D, E}, ACD2: {A, C, D, E}} + hg = Hypergraph(triloop2.edgedict, name=triloop2.name) + assert hg.shape == (5, 4) + original_hg_id = id(hg) + + # removing a duplicate edge should not affect the number of nodes + duplicate_edge = ["ACD2"] + hg = hg.remove_edges(duplicate_edge) + assert hg.shape == (5, 3) + assert id(hg) == original_hg_id + + # number of nodes should drop by 1 + hg = hg.remove_nodes(["E"]) + assert hg.shape == (4, 3) + assert id(hg) == original_hg_id + + # number of edges should drop by 1 + hg = hg.remove_edges(["ACD"]) + assert hg.shape == (3, 2) + assert id(hg) == original_hg_id + + # remove an incidence that no longer exists; no change + hg = hg.remove_incidences([("ACD", "E")]) + assert hg.shape == (3, 2) + assert id(hg) == original_hg_id + + # removing the last two remaining edges will remove all the nodes from the hypergraph + hg = hg.remove_edges(["AB", "BC"]) + assert hg.shape == (0, 0) + assert id(hg) == original_hg_id + + +def test_remove_edges_nodes_incidences_not_inplace(triloop2): + # triloop2 is a hypergraph of the following shape: + # {AB: {A, B}, BC: {B, C}, ACD: {A, C, D, E}, ACD2: {A, C, D, E}} + hg = Hypergraph(triloop2.edgedict, name=triloop2.name) + assert hg.shape == (5, 4) + original_hg_id = id(hg) + original_hg_name = hg.name + new_name = f"{triloop2.name}_new" + + # removing a duplicate edge should not affect the number of nodes + duplicate_edge = ["ACD2"] + hg = hg.remove_edges(duplicate_edge, name=new_name, inplace=False) + assert hg.shape == (5, 3) + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + # number of nodes should drop by 1 + hg = hg.remove_nodes(["E"], name=new_name, inplace=False) + assert hg.shape == (4, 3) + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + # number of edges should drop by 1 + hg = hg.remove_edges(["ACD"], name=new_name, inplace=False) + assert hg.shape == (3, 2) + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + # remove an incidence that no longer exists; no change + hg = hg.remove_incidences([("ACD", "E")], name=new_name, inplace=False) + assert hg.shape == (3, 2) + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + # removing the last two remaining edges will remove all the nodes from the hypergraph + hg = hg.remove_edges(["AB", "BC"], name=new_name, inplace=False) + assert hg.shape == (0, 0) + assert id(hg) != original_hg_id + assert hg.name != original_hg_name + assert hg.name == new_name + + +@pytest.mark.parametrize( + "keys, expected_shape", + [ + ( + ("O", "T1"), + (6, 6), + ), # T1 is the only node associated with an edge; nodes reduced by 1 + ( + ("R", "A"), + (7, 6), + ), # Removing this incidence does not remove either edge or node; no change + ( + [("L", "C"), ("L", "E")], + (7, 5), + ), # Removes the complete hyperedge L; edges reduced by 1, nodes remain unchanged + ], +) +def test_remove_incidences_inplace(sevenbysix, keys, expected_shape): + hg = Hypergraph(sevenbysix.edgedict) + original_hg_id = id(hg) + + assert hg.shape == (7, 6) + + hg = hg.remove_incidences(keys) + + assert hg.shape == expected_shape + assert id(hg) == original_hg_id + + +@pytest.mark.parametrize( + "keys, expected_shape", + [ + ( + ("O", "T1"), + (6, 6), + ), # T1 is the only node associated with an edge; nodes reduced by 1 + ( + ("R", "A"), + (7, 6), + ), # Removing this incidence does not remove either edge or node; no change + ( + [("L", "C"), ("L", "E")], + (7, 5), + ), # Removes the complete hyperedge L; edges reduced by 1, nodes remain unchanged + ], +) +def test_remove_incidences_not_inplace(sevenbysix, keys, expected_shape): + hg = Hypergraph(sevenbysix.edgedict, name="sbs") + original_hg_id = id(hg) + original_name = hg.name + new_name = "sbs_new" + + assert hg.shape == (7, 6) + + hg = hg.remove_incidences(keys, name=new_name, inplace=False) + + assert hg.shape == expected_shape + assert id(hg) != original_hg_id + assert hg.name != original_name + assert hg.name == new_name + + +def test_incidence_matrix(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + incidence_matrix, nodes_idx, edges_idx = hg.incidence_matrix(index=True) + + # check the incidence matrix elements and shape + assert incidence_matrix.todense().shape == ( + len(sevenbysix.nodes), + len(sevenbysix.edges), + ) + assert np.allclose(incidence_matrix.A, sevenbysix.incidence_matrix.A) + + # check the edge and node indexes + assert nodes_idx.tolist() == list(sevenbysix.nodes) + assert edges_idx.tolist() == list(sevenbysix.edges) + + +def test_adjacency_matrix(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + adjacency_matrix, node_idx = hg.adjacency_matrix(index=True) + + assert adjacency_matrix.todense().shape == ( + len(sevenbysix.nodes), + len(sevenbysix.nodes), + ) + assert np.allclose(adjacency_matrix.A, sevenbysix.s1_adjacency_matrx.A) + assert node_idx.tolist() == list(sevenbysix.nodes) + + +def test_edge_adjacency_matrix(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + adjacency_matrix, node_idx = hg.edge_adjacency_matrix(index=True) + + assert adjacency_matrix.todense().shape == ( + len(sevenbysix.edges), + len(sevenbysix.edges), + ) + assert np.allclose(adjacency_matrix.A, sevenbysix.s1_edge_adjacency_matrx.A) + assert node_idx.tolist() == list(sevenbysix.edges) + + +def test_auxiliary_matrix_on_nodes(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + aux_matrix, indexes = hg.auxiliary_matrix(index=True) + + assert aux_matrix.todense().shape == (len(sevenbysix.nodes), len(sevenbysix.nodes)) + assert np.allclose(aux_matrix.A, sevenbysix.s1_adjacency_matrx.A) + assert indexes.tolist() == list(sevenbysix.nodes) + + +def test_auxiliary_matrix_on_edges(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + aux_matrix, indexes = hg.auxiliary_matrix(node=False, index=True) + + assert aux_matrix.todense().shape == (len(sevenbysix.edges), len(sevenbysix.edges)) + assert np.allclose(aux_matrix.A, sevenbysix.s1_edge_adjacency_matrx.A) + assert indexes.tolist() == list(sevenbysix.edges) + + +def test_collapse_edges(sevenbysix_dupes): + hg = Hypergraph(sevenbysix_dupes.edgedict) + assert len(hg.edges) == len(sevenbysix_dupes.edges) + + hc = hg.collapse_edges() + assert len(hc.edges) == len(sevenbysix_dupes.edges) - 1 + + +def test_collapse_nodes(sevenbysix_dupes): + hg = Hypergraph(sevenbysix_dupes.edgedict) + assert len(hg.nodes) == len(sevenbysix_dupes.nodes) + + hc = hg.collapse_nodes() + assert len(hc.nodes) == len(sevenbysix_dupes.nodes) - 1 + + +def test_collapse_nodes_and_edges(sevenbysix_dupes): + hg = Hypergraph(sevenbysix_dupes.edgedict) + hc2 = hg.collapse_nodes_and_edges() + + assert len(hg.edges) == len(sevenbysix_dupes.edges) + assert len(hc2.edges) == len(sevenbysix_dupes.edges) - 1 + assert len(hg.nodes) == len(sevenbysix_dupes.nodes) + assert len(hc2.nodes) == len(sevenbysix_dupes.nodes) - 1 + + +def test_restrict_to_edges(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + new_hg = hg.restrict_to_edges(["P", "O"]) + assert len(hg.edges) == 6 + assert len(new_hg.edges) == 2 + + +def test_restrict_to_nodes(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert len(hg.nodes) == 7 + new_hg = hg.restrict_to_nodes(["A", "E", "K"]) + assert len(hg.nodes) == 7 + assert len(new_hg.nodes) == 3 + assert len(new_hg.edges) == 5 + assert "C" in hg.edges["P"] + assert "C" not in new_hg.edges["P"] + + +def test_remove_from_restriction(triloop): + h = Hypergraph(triloop.edgedict) + h1 = h.restrict_to_nodes(h.neighbors("A")).remove_nodes( + "A" + ) # Hypergraph does not have a remove_node method + assert "A" not in h1 + assert "A" not in h1.edges["ACD"] + + +def test_toplexes(sevenbysix_dupes): + h = Hypergraph(sevenbysix_dupes.edgedict) + + toplex = h.toplexes(return_hyp=True) + assert len(toplex.nodes) == 8 + assert len(toplex.edges) == 5 + + toplex = toplex.collapse_nodes() + assert len(toplex.nodes) == 7 + + +def test_is_connected(): + edges_list = [{1, 2, 3, 4}, {3, 4, 5, 6}, {5, 6, 7}, {5, 6, 8}] + h = Hypergraph(edges_list) + + assert h.is_connected() is True + assert h.is_connected(s=2) is False + assert h.is_connected(s=2, edges=True) is True + assert h.is_connected(s=3, edges=True) is False + + +def test_singletons(): + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + + h = Hypergraph(edges_dict) + assert h.shape == (9, 5) + + singles = h.singletons() + assert singles == [10, 12] + + +def test_remove_singletons(): + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + h = Hypergraph(edges_dict) + assert h.shape == (9, 5) + + h1 = h.remove_singletons() + + assert h1.shape == (7, 3) + assert h.shape == (9, 5) + assert id(h) != id(h1) + + +@pytest.mark.parametrize( + "edges, expected_components", + [(False, [{1, 2, 3, 4}, {5, 6}, {7}]), (True, [{"C", "D"}, {"A", "B"}, {"E"}])], +) +def test_components(edges, expected_components): + edges_dict = {"A": {1, 2, 3}, "B": {2, 3, 4}, "C": {5, 6}, "D": {6}, "E": {7}} + + h = Hypergraph(edges_dict) + + actual_components = list(h.components(edges=edges)) + + assert all(expected_c in actual_components for expected_c in expected_components) + + +def test_connected_components(): + edges_list = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] + + h = Hypergraph(edges_list) + + assert len(list(h.connected_components())) == 1 + assert list(h.connected_components(edges=True)) == [{0, 1, 2, 3}] + assert [len(g) for g in h.connected_component_subgraphs()] == [8] + + +def test_s_components(): + edges_dict = [{1, 2, 3, 4}, {4, 5, 6}, {5, 6, 7}, {5, 6, 8}] + h = Hypergraph(edges_dict) + assert len(list(h.s_components())) == 1 + assert len(list(h.s_components(s=2))) == 2 + assert len(list(h.s_components(s=3))) == 4 + assert len(list(h.s_components(s=3, edges=False))) == 7 + assert len(list(h.s_components(s=4, edges=False))) == 8 + + +@pytest.mark.parametrize( + "edges, return_singletons, expected_connected_components", + [ + (True, False, [{"C", "D"}, {"A", "B"}]), + (True, True, [{"C", "D"}, {"A", "B"}, {"E"}]), + (False, False, [{1, 2, 3, 4}, {5, 6}]), + (False, True, [{1, 2, 3, 4}, {5, 6}, {7}]), + ], +) +def test_s_connected_components( + edges, return_singletons, expected_connected_components +): + edges_dict = {"A": {1, 2, 3}, "B": {2, 3, 4}, "C": {5, 6}, "D": {6}, "E": {7}} + h = Hypergraph(edges_dict) + + actual_connected_components = list( + h.s_connected_components(edges=edges, return_singletons=return_singletons) + ) + + assert all( + expected_c in actual_connected_components + for expected_c in expected_connected_components + ) + + +def test_s_component_subgraphs(): + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + + h = Hypergraph(edges_dict) + + hg = list(h.s_component_subgraphs()) + + assert len(hg) == 1 + + hg = hg.pop() + assert all(e in hg.edges for e in [1, 6, 14]) + assert all(n in hg.nodes for n in [2, 3, 4, 5, 7, 8, 9]) + assert hg.incidence_dict == {1: [2, 3, 4, 5], 6: [2, 5, 7, 8, 9], 14: [7]} + + +def test_s_component_subgraphs_on_nodes(): + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + + h = Hypergraph(edges_dict) + + hg = list(h.s_component_subgraphs(edges=False)) + + assert len(hg) == 1 + + hg = hg.pop() + assert all(e in hg.edges for e in [1, 6, 14]) + assert all(n in hg.nodes for n in [2, 3, 4, 5, 7, 8, 9]) + assert hg.incidence_dict == {1: [2, 3, 4, 5], 6: [2, 5, 7, 8, 9], 14: [7]} + + +def test_component_subgraphs(): + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + + h = Hypergraph(edges_dict) + + hg = list(h.component_subgraphs()) + + assert len(hg) == 1 + hg = hg.pop() + assert hg.shape == (7, 3) + assert all(e in hg.edges for e in [1, 6, 14]) + assert all(n in hg.nodes for n in [2, 3, 4, 5, 7, 8, 9]) + assert hg.incidence_dict == {1: [2, 3, 4, 5], 6: [2, 5, 7, 8, 9], 14: [7]} + + +def test_component_subgraphs_on_return_singletons_true(): + # two edges are singletons + edges_dict = {1: {2, 3, 4, 5}, 6: {2, 5, 7, 8, 9}, 10: {11}, 12: {13}, 14: {7}} + + h = Hypergraph(edges_dict) + + hg = list(h.component_subgraphs(return_singletons=True)) + assert len(hg) == 3 + + # check component subgraph + sb = hg[0] + assert sb.shape == (7, 3) + assert all(e in sb.edges for e in [1, 6, 14]) + assert all(n in sb.nodes for n in [2, 3, 4, 5, 7, 8, 9]) + assert sb.incidence_dict.get(1) == [2, 3, 4, 5] + assert sb.incidence_dict.get(6) == [2, 5, 7, 8, 9] + assert sb.incidence_dict.get(14) == [7] + + # check singletons + singleton1 = hg[1] + assert singleton1.shape == (1, 1) + assert list(singleton1.edges) == [10] + assert list(singleton1.nodes) == [11] + assert singleton1.incidence_dict == {10: [11]} + + singleton2 = hg[2] + assert singleton2.shape == (1, 1) + assert list(singleton2.edges) == [12] + assert list(singleton2.nodes) == [13] + assert singleton2.incidence_dict == {12: [13]} + + +def test_size(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + assert h.size(sevenbysix.edges.S) == len(sevenbysix.edgedict[sevenbysix.edges.S]) + assert h.size("S", {"T2", "V"}) == 2 + assert h.size("S", {"T1", "T2"}) == 1 + assert h.size("S", {"T2"}) == 1 + assert h.size("S", {"T1"}) == 0 + assert h.size("S", {}) == 0 + + +def test_diameter(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + assert h.diameter() == 3 + + +def test_diameter_should_raise_error(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + with pytest.raises(Exception) as excinfo: + h.diameter(s=2) + assert "Hypergraph is not s-connected." in str(excinfo.value) + + +def test_node_diameters(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + assert h.node_diameters()[0] == 3 + assert h.node_diameters()[2] == [set(sevenbysix.nodes)] + + +def test_edge_diameter(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + assert h.edge_diameter() == 3 + assert h.edge_diameters()[2] == [{"I", "L", "O", "P", "R", "S"}] + with pytest.raises(Exception) as excinfo: + h.edge_diameter(s=2) + assert "Hypergraph is not s-connected." in str(excinfo.value) + + +def test_bipartite(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + assert bipartite.is_bipartite(hg.bipartite()) + + +def test_dual(sevenbysix): + h = Hypergraph(sevenbysix.edgedict) + hd = h.dual() + assert isinstance(hd.nodes.property_store, PropertyStore) + assert isinstance(hd.edges.property_store, PropertyStore) + assert set(h.nodes) == set(hd.edges) + assert set(h.edges) == set(hd.nodes) + assert list(h.dataframe.columns) == list(hd.dataframe.columns) + + +@pytest.mark.filterwarnings("ignore:No 3-path between ME and FN") +def test_distance(lesmis): + h = Hypergraph(lesmis.edgedict) + assert h.distance("ME", "FN") == 2 + assert h.distance("ME", "FN", s=2) == 3 + assert h.distance("ME", "FN", s=3) == np.inf + + +def test_edge_distance(lesmis): + h = Hypergraph(lesmis.edgedict) + assert h.edge_distance(1, 4) == 2 + h2 = h.remove_incidences([5]) + assert h2.edge_distance(1, 4) == 3 + assert h2.edge_distance(1, 4, s=2) == np.inf + + +def test_incidence_dataframe(lesmis): + h = Hypergraph(lesmis.edgedict) + df = h.incidence_dataframe() + assert np.allclose(np.array(np.sum(df)), np.array([10, 9, 8, 4, 8, 3, 12, 6])) + + +def test_static_hypergraph_s_connected_components(lesmis): + h = Hypergraph(lesmis.edgedict) + assert {7, 8} in list(h.s_connected_components(edges=True, s=4)) + + +def test_difference_on_same_hypergraph(lesmis): + hg = Hypergraph(lesmis.edgedict) + hg_copy = Hypergraph(lesmis.edgedict) + + hg_diff = hg - hg_copy + + assert len(hg_diff) == 0 + assert len(hg_diff.nodes) == 0 + assert len(hg_diff.edges) == 0 + assert hg_diff.shape == (0, 0) + assert hg_diff.incidence_dict == {} + + +def test_difference_on_empty_hypergraph(sevenbysix): + hg_empty = Hypergraph() + hg = Hypergraph(sevenbysix.edgedict) + hg_diff = hg - hg_empty + + assert len(hg_diff) == len(sevenbysix.nodes) + assert len(hg_diff.nodes) == len(sevenbysix.nodes) + assert len(hg_diff.edges) == len(sevenbysix.edges) + assert hg_diff.shape == (len(sevenbysix.nodes), len(sevenbysix.edges)) + + assert all(e in sevenbysix.edges for e in hg_diff.edges) + assert all(n in sevenbysix.nodes for n in hg_diff.nodes) + + +def test_difference_on_similar_hypergraph(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + # create a hypergraph based on hg, but remove the 'I' edge + a, c, e, k, t1, t2, v = ("A", "C", "E", "K", "T1", "T2", "V") + l, o, p, r, s = ("L", "O", "P", "R", "S") + data = OrderedDict( + [(p, {a, c, k}), (r, {a, e}), (s, {a, k, t2, v}), (l, {c, e}), (o, {t1, t2})] + ) + hg_similar = Hypergraph(data, edge_col="edges", node_col="nodes") + + # returns a hypergraph with one edge and two nodes + hg_diff = hg - hg_similar + + assert len(hg_diff) == 2 + assert len(hg_diff.nodes) == 2 + assert len(hg_diff.edges) == 1 + assert hg_diff.shape == (2, 1) + + edges_diff = ["I"] + assert all(edge in edges_diff for edge in hg_diff.edges) + + nodes_diff = ["K", "T2"] + assert all(node in nodes_diff for node in hg_diff.nodes) + + +def test_sum_hypergraph_empty_hypergraph(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + hg_to_add = Hypergraph() + + # add empty hypergraph to hypergraph + new_hg = hg.sum(hg_to_add) + assert new_hg == hg + + # add hypergraph to empty hypergraph + new_hg = hg_to_add.sum(hg) + assert new_hg == hg + + +def test_sum_hypergraph_with_dupe_hypergraph(sevenbysix, sevenbysix_dupes): + hg = Hypergraph(sevenbysix.edgedict) + hg_dupes = Hypergraph(sevenbysix_dupes.edgedict) + + # Case: HDuplicate + H + # add almost duplicate hypergraph to hypergraph + new_hg = hg.sum(hg_dupes) + + assert new_hg.shape == (len(sevenbysix.nodes) + 1, len(sevenbysix.edges) + 1) + # check for new incidences + expected_incidences = { + "I": ["K", "T2"], + "L": ["C", "E", "F"], + "M": ["C", "E", "F"], + "O": ["T1", "T2"], + "P": ["A", "C", "K"], + "R": ["A", "E", "F"], + "S": ["A", "K", "T2", "V"], + } + actual_incidences = new_hg.incidence_dict + for expected_edge, expected_nodes in expected_incidences.items(): + assert expected_edge in actual_incidences + assert all(node in actual_incidences[expected_edge] for node in expected_nodes) + + # Case: H + HDuplicate + # add hypergraph to almost duplicate + new_hg = hg_dupes.sum(hg) + + assert new_hg.shape == (len(sevenbysix.nodes) + 1, len(sevenbysix.edges) + 1) + # check for new incidences + actual_incidences = new_hg.incidences.incidence_dict + assert actual_incidences.keys() == expected_incidences.keys() + assert all( + set(nodes) == set(actual_incidences[edge]) + for edge, nodes in expected_incidences.items() + ) + + +def test_add_hypergraph_to_empty_hypergraph(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + hg_to_add = Hypergraph() + + new_hg = hg + hg_to_add + + assert new_hg == hg + + +def test_union(sevenbysix, sevenbysix_dupes): + hg = Hypergraph(sevenbysix.edgedict) + hg_dupes = Hypergraph(sevenbysix_dupes.edgedict) + + # Case: HDuplicate + H + # add almost duplicate hypergraph to hypergraph + new_hg = hg.union(hg_dupes) + + assert new_hg.shape == (len(sevenbysix.nodes) + 1, len(sevenbysix.edges) + 1) + # check for new incidences + expected_incidences = { + "I": ["K", "T2"], + "L": ["C", "E", "F"], + "M": ["C", "E", "F"], + "O": ["T1", "T2"], + "P": ["A", "C", "K"], + "R": ["A", "E", "F"], + "S": ["A", "K", "T2", "V"], + } + actual_incidences = new_hg.incidence_dict + assert actual_incidences.keys() == expected_incidences.keys() + assert all( + set(nodes) == set(actual_incidences[edge]) + for edge, nodes in expected_incidences.items() + ) + + # Case: H + HDuplicate + # add hypergraph to almost duplicate + new_hg = hg_dupes.union(hg) + + assert new_hg.shape == (len(sevenbysix.nodes) + 1, len(sevenbysix.edges) + 1) + # check for new incidences + actual_incidences = new_hg.incidence_dict + assert all( + set(nodes) == set(actual_incidences[edge]) + for edge, nodes in expected_incidences.items() + ) + + +def test_intersection(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + edge_dict = { + sevenbysix.edges.P: {sevenbysix.nodes.A, sevenbysix.nodes.C, sevenbysix.nodes.K} + } + other = Hypergraph(edge_dict) + + new_hg = hg.intersection(other) + + assert new_hg.shape == (3, 1) + assert list(new_hg.edges) == [sevenbysix.edges.P] + assert set(new_hg.nodes) == { + sevenbysix.nodes.A, + sevenbysix.nodes.C, + sevenbysix.nodes.K, + } + + +def test_intersection_on_empty_hypergraph(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + other = Hypergraph() + + new_hg = hg.intersection(other) + + assert new_hg.shape == (0, 0) + + +def test_intersection_on_itself(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + other = Hypergraph(sevenbysix.edgedict) + + new_hg = hg.intersection(other) + + assert new_hg.shape == (7, 6) + assert all(n in new_hg.nodes for n in sevenbysix.nodes) + assert all(e in new_hg.edges for e in sevenbysix.edges) + incidences = new_hg.incidence_dict + assert incidences.keys() == sevenbysix.edgedict.keys() + assert all( + nodes == set(incidences[edge]) for edge, nodes in sevenbysix.edgedict.items() + ) + + +@pytest.mark.parametrize( + "edges, expected_edges", + [ + ({"P": "Papa"}, ["Papa", "R", "S", "L", "O", "I"]), + ( + { + "P": "Papa", + "R": "Romeo", + "S": "Sierra", + "L": "Lima", + "O": "Oscar", + "I": "India", + }, + ["Papa", "Romeo", "Sierra", "Lima", "Oscar", "India"], + ), + ], +) +def test_rename_edges(sevenbysix, edges, expected_edges): + hg = Hypergraph(sevenbysix.edgedict) + assert all(e in hg.edges for e in sevenbysix.edges) + + new_hg = hg.rename(edges=edges) + + assert all(e in new_hg.edges for e in expected_edges) + + +@pytest.mark.parametrize( + "nodes, expected_nodes", + [ + ({"A": "Alpha"}, ["Alpha", "C", "E", "K", "T1", "T2", "V"]), + ( + { + "A": "Alpha", + "C": "Charlie", + "E": "Echo", + "K": "Kilo", + "T1": "Tango1", + "T2": "Tango2", + "V": "Victor", + }, + ["Alpha", "Charlie", "Echo", "Kilo", "Tango1", "Tango2", "Victor"], + ), + ], +) +def test_rename_nodes(sevenbysix, nodes, expected_nodes): + hg = Hypergraph(sevenbysix.edgedict) + assert all(n in hg.nodes for n in sevenbysix.nodes) + + new_hg = hg.rename(nodes=nodes) + + assert all(n in new_hg.nodes for n in expected_nodes) + + +def test_rename_on_no_op(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + new_hg = hg.rename() + + assert id(hg) == id(new_hg) + + +@pytest.mark.parametrize( + "prop_name, expected_property", + [ + (None, {"weight": 1.0, "misc_properties": {}}), + ("weight", 1), + ("misc_properties", {}), + ("not-a-prop-return-None", None), + ], +) +def test_get_cell_properties(sevenbysix, prop_name, expected_property): + hg = Hypergraph(sevenbysix.edgedict) + + prop = hg.get_cell_properties( + sevenbysix.edges.P, sevenbysix.nodes.A, prop_name=prop_name + ) + + assert prop == expected_property + + +@pytest.mark.parametrize( + "uid, level, prop_name, expected_property", + [ + ("P", 0, None, {"weight": 1.0, "misc_properties": {}}), + ("P", 0, "weight", 1.0), + ("P", 0, "not-a-prop", None), + ("A", 1, None, {"weight": 1.0, "misc_properties": {}}), + ("A", 1, "weight", 1.0), + ("A", 1, "not-a-prop", None), + (("P", "A"), 2, None, {"weight": 1.0, "misc_properties": {}}), + (("P", "A"), 2, "weight", 1.0), + (("P", "A"), 2, "not-a-prop", None), + ], +) +def test_get_properties(sevenbysix, uid, level, prop_name, expected_property): + hg = Hypergraph(sevenbysix.edgedict) + + props = hg.get_properties(uid, level=level, prop_name=prop_name) + print(props) + assert props == expected_property + + +@pytest.mark.parametrize( + "node_uid, s, expected_degree", [("A", 1, 3), ("A", 2, 3), ("A", 3, 2)] +) +def test_degree(sevenbysix, node_uid, s, expected_degree): + hg = Hypergraph(sevenbysix.edgedict) + + assert hg.degree(node_uid, s=s) == expected_degree + + +@pytest.mark.parametrize( + "node, s, expected_neighbors", + [ + ("A", 1, ["C", "K", "E", "T2", "V"]), + ("T2", 2, ["K"]), + ], +) +def test_neighbors(sevenbysix, node, s, expected_neighbors): + hg = Hypergraph(sevenbysix.edgedict) + + neighbors = hg.neighbors(node, s=s) + + assert all(n in neighbors for n in expected_neighbors) + + +def test_neighbors_on_invalid_node(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + neighbors = hg.neighbors("NEMO") + + assert neighbors == [] + + +@pytest.mark.parametrize( + "edge, s, expected_neighbors", + [("P", 1, ["I", "L", "R", "S"]), ("O", 2, []), ("I", 2, ["S"])], +) +def test_edge_neighbors(sevenbysix, edge, s, expected_neighbors): + hg = Hypergraph(sevenbysix.edgedict) + + neighbors = hg.edge_neighbors(edge, s=s) + + assert all(n in neighbors for n in expected_neighbors) + + +def test_neighbors_on_invalid_edge(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + neighbors = hg.edge_neighbors("NEMO") + + assert neighbors == [] + + +def test_edge_size_dist(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + edge_sizes = hg.edge_size_dist() + + expected_sizes = [2, 2, 2, 3, 2, 4] + + assert all(e_size in expected_sizes for e_size in edge_sizes) + + +@pytest.mark.parametrize( + "edges, groupings", + [ + (True, [["I"], ["L", "M"], ["O"], ["P"], ["R"], ["S"]]), + (False, [["A"], ["C"], ["E", "F"], ["K"], ["T1"], ["T2"], ["V"]]), + ], +) +def test_equivalence_classes(sevenbysix_dupes, edges, groupings): + hg = Hypergraph(sevenbysix_dupes.edgedict) + + res = hg.equivalence_classes(edges=edges) + + assert res == groupings + + +def test_properties(sevenbysix): + hg = Hypergraph(sevenbysix.edgedict) + + props = hg.properties + + df_differences = props.compare(sevenbysix.properties) + + assert df_differences.empty diff --git a/tests/classes/test_hypergraph_view.py b/tests/classes/test_hypergraph_view.py new file mode 100644 index 00000000..cc75c5b6 --- /dev/null +++ b/tests/classes/test_hypergraph_view.py @@ -0,0 +1,76 @@ +import pandas as pd + +from hypernetx.classes.hyp_view import HypergraphView +from hypernetx.classes.incidence_store import IncidenceStore +from hypernetx.classes.property_store import PropertyStore + + +def test_to_dataframe_with_no_user_defined_properties(): + # Create a HypergraphView with no user-defined properties + incidence_store = IncidenceStore( + pd.DataFrame(incidences(), columns=["edges", "nodes"]) + ) + hyp_view_0 = HypergraphView( + incidence_store, level=0, property_store=PropertyStore() + ) + + # Create the expected dataframe + expected_dfp = hyp_view_0.user_defined_properties + expected_dfp.sort_index(inplace=True) + + actual_dfp = hyp_view_0.to_dataframe + actual_dfp.sort_index(inplace=True) + + # The total number of items in the properties dataframe should be equal to the total number of incidences + assert len(actual_dfp) == len(hyp_view_0) + + # On the other hand, the hypergraph_view properties should be empty since the user did not define any properties for any items + assert len(hyp_view_0.user_defined_properties) == 0 + + +def test_to_dataframe_with_user_defined_properties(): + # Create a HypergraphView with user-defined properties + incidence_df = pd.DataFrame(incidences(), columns=["edges", "nodes"]) + ps_df = pd.DataFrame(index=[0], data={"weight": 42, "misc_properties": [{}]}) + incidence_store = IncidenceStore(incidence_df) + hyp_view = HypergraphView( + incidence_store, level=0, property_store=PropertyStore(ps_df) + ) + + # create the expected dataframe + expected_dfp = hyp_view.user_defined_properties + # expected_dfp.at[(0, "A"), "weight"] = 42 + expected_dfp.sort_index(inplace=True) + + actual_dfp = hyp_view.to_dataframe + actual_dfp.sort_index(inplace=True) + + # The total number of items in the properties dataframe should be equal to the total items in the incidence store + assert len(expected_dfp) == 1 + + # On the other hand, the user defined properties for one item, (0,'A') + assert len(hyp_view.properties) == len(incidence_store.edges) + + +def incidences(): + node_groups = [ + {"A", "B"}, + {"A", "C"}, + {"A", "B", "C"}, + {"A", "D", "E", "F"}, + {"D", "F"}, + {"E", "F"}, + {"B"}, + {"G", "B"}, + ] + # creates a dictionary of edges to list of nodes + edges_to_nodes = dict(enumerate(node_groups)) + + # create a list of all edge to node pairs (i.e. incidences) + # The total number of incidences will be 18 + incidences_ = [] + for edge, nodes in edges_to_nodes.items(): + for node in nodes: + incidences_.append((edge, node)) + + return incidences_ diff --git a/tests/classes/test_incidence_store.py b/tests/classes/test_incidence_store.py new file mode 100755 index 00000000..4f24d78a --- /dev/null +++ b/tests/classes/test_incidence_store.py @@ -0,0 +1,98 @@ +import numpy as np +import pandas as pd +from hypernetx.classes.incidence_store import IncidenceStore +import pytest + + +def test_iter(): + # Test iteration over incidence pairs + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + expected_pairs = [(1, 1), (2, 2), (2, 3), (3, 4)] + actual_pairs = list(store) + + assert len(actual_pairs) == len(expected_pairs) + for i in range(len(actual_pairs)): + assert actual_pairs[i] == expected_pairs[i] + + +def test_len(): + # Test length of incidence store + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + assert len(store) == 4 # Should match the number of unique pairs + + +def test_contains(): + # Test if incidence pair exists + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + + assert (1, 1) in store + assert (2, 2) in store + assert (2, 3) in store + assert (3, 4) in store + assert (3, 5) not in store # Non-existent pair + + +def test_neighbors(): + # Test getting elements or memberships based on level and key + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + + assert store.neighbors(0, 1) == [1] # Nodes in edge 1 + assert store.neighbors(1, 2) == [2, 3] # Edges containing node 2 + assert store.neighbors(0, 5) == [] # Non-existent edge + + assert store.neighbors(3, 1) == [] + + +def test_edges(): + # Test getting all edges + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + expected_edges = np.array([1, 2, 3, 4]) + store = IncidenceStore(data) + assert np.array_equal(store.edges, expected_edges) + + +def test_nodes(): + # Test getting all nodes + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + expected_nodes = np.array([1, 2, 3]) + store = IncidenceStore(data) + assert np.array_equal(store.nodes, expected_nodes) + + +def test_dimensions(): + # Test getting number of nodes and edges + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + assert store.dimensions == (4, 3) # (4 unique edges, 3 unique nodes) + + +def test_restrict_to(): + # Test restricting to a subset based on level and items + data = pd.DataFrame({"nodes": [1, 2, 2, 3], "edges": [1, 2, 3, 4]}) + store = IncidenceStore(data) + + # Inplace restriction + store.restrict_to(0, [1, 2], inplace=True) + assert store._data.equals(pd.DataFrame({"nodes": [1, 2], "edges": [1, 2]})) + store = IncidenceStore(data) # Recreate initial store + + # Non-inplace restriction (returns new dataframe) + restricted_df = store.restrict_to(0, [1, 2], inplace=False) + # Should be a new dataframe + # check that restricted_df and store._data are separate objects (i.e. object reference comparison) + assert restricted_df is not (store._data) + # check that restricted_df has expected values (i.e. value comparison) + assert restricted_df.equals(pd.DataFrame({"nodes": [1, 2], "edges": [1, 2]})) + + # Invalid level + with pytest.raises(ValueError): + store.restrict_to(3, [1]) # Invalid level should raise error + + # Non-existent items + store = IncidenceStore(data) + restricted_df = store.restrict_to(0, [5], inplace=False) + assert restricted_df.empty # Empty dataframe as no pairs with item 5 diff --git a/tests/classes/test_nx_hnx_agreement.py b/tests/classes/test_nx_hnx_agreement.py new file mode 100644 index 00000000..f1d3506b --- /dev/null +++ b/tests/classes/test_nx_hnx_agreement.py @@ -0,0 +1,53 @@ +def assert_are_same_sets(s1, s2): + assert set(s1) == set(s2) + + +def assert_are_same_set_of_sets(s1, s2): + assert_are_same_sets(map(frozenset, s1), map(frozenset, s2)) + + +def test_len(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that the length of the hypergraph returns the number of nodes + """ + assert len(nx_graph) == len(hnx_graph_from_nx_graph) + + +def test_number_of_edges(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that the number of edges are the same + """ + assert len(nx_graph.edges) == len(hnx_graph_from_nx_graph.edges) + + +def test_is_iterable(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that the object itself is iterable, and returns the node set + """ + assert_are_same_sets(nx_graph, hnx_graph_from_nx_graph) + + +def test_is_subscriptable(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that the graph is subscriptable, i.e., hnx_graph_from_nx_graph[v], returns the neighbors of v + """ + for v in nx_graph.nodes(): + assert_are_same_sets(nx_graph[v], hnx_graph_from_nx_graph[v]) + + +def test_neighbors(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that nx_graph.neighbors(v) returns neighbors of vertex v. + This is the same as nx_graph[v] above. + """ + for v in nx_graph.nodes(): + assert_are_same_sets(nx_graph[v], hnx_graph_from_nx_graph[v]) + + +def test_edges_iter(nx_graph, hnx_graph_from_nx_graph): + """ + Confirm that hnx_graph_from_nx_graph.edges returns the same edges as nx_graph.edges() + """ + assert_are_same_set_of_sets( + nx_graph.edges(), hnx_graph_from_nx_graph.edges.elements.values() + ) diff --git a/tests/classes/test_property_store.py b/tests/classes/test_property_store.py new file mode 100644 index 00000000..9b412696 --- /dev/null +++ b/tests/classes/test_property_store.py @@ -0,0 +1,375 @@ +import pytest +import pandas as pd +from pandas import DataFrame +from hypernetx.classes.property_store import PropertyStore, WEIGHT, MISC_PROPERTIES + + +EDGES = "edges" +NODES = "nodes" +PROPERTIES_COLUMNS = [WEIGHT, MISC_PROPERTIES] +STRENGTH = "strength" +HAIR_COLOR = "hair_color" +INCIDENCES_PROPERTIES_COLUMNS = [WEIGHT, MISC_PROPERTIES, STRENGTH, HAIR_COLOR] +MISC_PROPERTIES_NESTED = { + "status": "married", + "education": { + "undergraduate": "University of Washington", + "graduate": "Northeastern University", + "vocational": "ITT Tech", + }, +} +MISC_PROPERTIES_FLATTENED = { + "graduate": "Northeastern University", + "status": "married", + "undergraduate": "University of Washington", + "vocational": "ITT Tech", +} +INCIDENCE_PROPERTIES_FLATTENED = { + "graduate": "Northeastern University", + "hair_color": "red", + "status": "married", + "strength": 42.0, + "undergraduate": "University of Washington", + "vocational": "ITT Tech", + "weight": 1.23, +} + + +@pytest.fixture +def edges(): + return ["I", "L", "O", "P", "R", "S"] + + +@pytest.fixture +def nodes(): + return ["A", "C", "E", "K", "T1", "T2", "V"] + + +@pytest.fixture +def incidences(): + return [ + ("I", "K"), + ("I", "T2"), + ("L", "C"), + ("L", "E"), + ("O", "T1"), + ("O", "T2"), + ("P", "A"), + ("P", "C"), + ("P", "K"), + ("R", "A"), + ("R", "E"), + ("S", "A"), + ("S", "K"), + ("S", "T2"), + ("S", "V"), + ] + + +@pytest.fixture +def edges_df(edges) -> DataFrame: + # get a subset of edges that will have properties + data = [(edge, 43.0, {}) for edge in edges[:4]] + df = DataFrame(data=data, columns=[EDGES, WEIGHT, MISC_PROPERTIES]) + df.set_index(EDGES, inplace=True) + return df + + +@pytest.fixture +def nodes_df(nodes) -> DataFrame: + data = [(node, float(idx), {}) for idx, node in enumerate(nodes)] + df = DataFrame(data=data, columns=[NODES, WEIGHT, MISC_PROPERTIES]) + df.set_index(NODES, inplace=True) + return df + + +@pytest.fixture +def incidences_df(incidences) -> DataFrame: + misc_properties = { + "status": "married", + "education": { + "undergraduate": "University of Washington", + "graduate": "Northeastern University", + "vocational": "ITT Tech", + }, + } + index = pd.MultiIndex.from_tuples(incidences[:9], names=[EDGES, NODES]) + data = [(1.23, misc_properties, 42.0, "red") for _ in range(len(index))] + return DataFrame( + data=data, index=index, columns=[WEIGHT, MISC_PROPERTIES, STRENGTH, HAIR_COLOR] + ) + + +@pytest.fixture +def edges_ps(edges_df) -> PropertyStore: + return PropertyStore(edges_df) + + +@pytest.fixture +def nodes_ps(nodes_df) -> PropertyStore: + return PropertyStore(nodes_df, default_weight=42.0) + + +@pytest.fixture +def incidences_ps(incidences_df) -> PropertyStore: + return PropertyStore(incidences_df, default_weight=3.33) + + +def test_empty_property_store(): + ps = PropertyStore() + assert ps.properties.columns.tolist() == [WEIGHT, MISC_PROPERTIES] + + +def test_properties_on_edges_ps(edges_ps): + props: DataFrame = edges_ps.properties + + assert all(weight == 43.0 for weight in props.get(WEIGHT).tolist()) + assert all(prop == dict() for prop in props.get(MISC_PROPERTIES).tolist()) + + +def test_properties_on_incidences_ps(incidences_ps): + props: DataFrame = incidences_ps.properties + + assert all(weight == 1.23 for weight in props.get(WEIGHT).tolist()) + assert all( + prop == MISC_PROPERTIES_NESTED for prop in props.get(MISC_PROPERTIES).tolist() + ) + assert all(prop == "red" for prop in props.get(HAIR_COLOR).tolist()) + assert all(prop == 42 for prop in props.get(STRENGTH).tolist()) + + +@pytest.mark.parametrize( + "property_store, uid, expected", + [ + # edge has properties + ("edges_ps", "P", {"weight": 43.0, "misc_properties": {}}), + # edge does not currently have any properties, uses defaults + ("edges_ps", "R", {"weight": 1, "misc_properties": {}}), + # incidence has properties + ( + "incidences_ps", + ("I", "K"), + { + "weight": 1.23, + "hair_color": "red", + "strength": 42.0, + **INCIDENCE_PROPERTIES_FLATTENED, + }, + ), + # incidence does not currently have any properties + ( + "incidences_ps", + ("R", "A"), + { + "weight": 3.33, + "misc_properties": {}, + "hair_color": None, + "strength": None, + }, + ), + ], +) +def test_get_properties(property_store, uid, expected, request): + ps = request.getfixturevalue(property_store) + + props = ps.get_properties(uid) + + assert props == expected + + +@pytest.mark.parametrize( + "property_store, uid, expected", + [ + # edge has properties + ("edges_ps", "P", {"weight": 43.0, "misc_properties": {}}), + # edge does not currently have any properties, uses defaults + ("edges_ps", "R", {"weight": 1.0, "misc_properties": {}}), + # incidence has properties + ( + "incidences_ps", + ("I", "K"), + { + "weight": 1.23, + "hair_color": "red", + "strength": 42.0, + **INCIDENCE_PROPERTIES_FLATTENED, + }, + ), + # incidence does not currently have any properties + ( + "incidences_ps", + ("R", "A"), + { + "weight": 3.33, + "misc_properties": {}, + "hair_color": None, + "strength": None, + }, + ), + ], +) +def test_getitem(property_store, uid, expected, request): + ps = request.getfixturevalue(property_store) + + props = ps[uid] + + assert props == expected + + +@pytest.mark.parametrize( + "property_store, uid, prop_name, expected_props", + [ + # edge does have properties + ("edges_ps", "P", WEIGHT, 43.0), + ("edges_ps", "P", MISC_PROPERTIES, dict()), + ("edges_ps", "P", "NOT A PROPERTY", None), + # edge does not currently have any properties, uses defaults + ("edges_ps", "S", WEIGHT, 1.0), + ("edges_ps", "S", MISC_PROPERTIES, {}), + ("edges_ps", "S", "NOT A PROPERTY", None), + # incidence does have properties + ("incidences_ps", ("I", "K"), WEIGHT, 1.23), + ("incidences_ps", ("I", "K"), MISC_PROPERTIES, MISC_PROPERTIES_NESTED), + ("incidences_ps", ("I", "K"), "strength", 42), + ("incidences_ps", ("I", "K"), "hair_color", "red"), + ("incidences_ps", ("I", "K"), "not a property", None), + # incidence does not have any properties, uses defaults + ("incidences_ps", ("S", "A"), WEIGHT, 3.33), + ("incidences_ps", ("S", "A"), MISC_PROPERTIES, {}), + ("incidences_ps", ("S", "A"), "not a property", None), + ], +) +def test_get_property(property_store, uid, prop_name, expected_props, request): + ps = request.getfixturevalue(property_store) + props = ps.get_property(uid, prop_name) + assert props == expected_props + + +@pytest.mark.parametrize( + "fixture, uid, prop_name, prop_val, current_props", + [ + # edge has property and updates it + ("edges_ps", "P", "weight", 3.14, 43.0), + # edge does not have property and adds it + ("edges_ps", "P", "cost", 2.99, None), + # edge has property (default value) and updates it + ("edges_ps", "R", "weight", 78.9, 1.0), + # edge does not have property and adds it + ("edges_ps", "R", "cost", 2.99, None), + # incidence has property and updates it + ("incidences_ps", ("I", "K"), "weight", 93.3, 1.23), + ("incidences_ps", ("I", "K"), "strength", 999, 42), + ("incidences_ps", ("I", "K"), "hair_color", "blue", "red"), + # incidence has property (default) and updates it + ("incidences_ps", ("S", "A"), "weight", 0.46, 3.33), + # incidence has does not have property (default) and adds it + ("incidences_ps", ("S", "A"), "cost", 42.42, None), + ("incidences_ps", ("S", "A"), "strength", 999, None), + ("incidences_ps", ("S", "A"), "hair_color", "blue", None), + ], +) +def test_set_property(fixture, uid, prop_name, prop_val, current_props, request): + ps = request.getfixturevalue(fixture) + + props = ps.get_property(uid, prop_name) + assert props == current_props + + ps.set_property(uid, prop_name, prop_val) + + props = ps.get_property(uid, prop_name) + + assert props == prop_val + + +def test_set_properties(incidences_ps): + data = {"weight": 100, "hair_color": "orange", "other_attribute": "foobar"} + uid = ("S", "A") + + assert incidences_ps.get_property(uid, "hair_color") is None + assert incidences_ps.get_property(uid, MISC_PROPERTIES) == {} + assert incidences_ps.get_property(uid, "weight") == 3.33 + + incidences_ps.set_properties(uid, data) + + assert incidences_ps.get_property(uid, "hair_color") == "orange" + assert incidences_ps.get_property(uid, MISC_PROPERTIES) == { + "other_attribute": "foobar" + } + assert incidences_ps.get_property(uid, "weight") == 100 + + +def test_set_properties_edges_existing_edge(edges_ps): + data = {"weight": 99, "new_property": "foobar"} + uid = "R" + + assert edges_ps.get_property(uid, "new_property") is None + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {} + assert edges_ps.get_property(uid, "weight") == 1.0 + + edges_ps.set_properties(uid, data) + + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {"new_property": "foobar"} + assert edges_ps.get_property(uid, "weight") == 99 + + +def test_set_properties_multiple_edges(edges_ps): + # existing edge + data = {"weight": 99, "new_property": "foobar"} + uid = "R" + + assert edges_ps.get_property(uid, "new_property") is None + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {} + assert edges_ps.get_property(uid, WEIGHT) == 1.0 + + edges_ps.set_properties(uid, data) + + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {"new_property": "foobar"} + assert edges_ps.get_property(uid, WEIGHT) == 99 + + # new_edge + data = {"weight": 42, "new_property": "roma"} + uid = "X" + + assert edges_ps.get_property(uid, "new_property") is None + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {} + assert edges_ps.get_property(uid, WEIGHT) == 1.0 + + edges_ps.set_properties(uid, data) + + assert edges_ps.get_property(uid, MISC_PROPERTIES) == {"new_property": "roma"} + assert edges_ps.get_property(uid, WEIGHT) == 42 + + +@pytest.mark.parametrize( + "fixture, uid, expected", + [ + ("edges_ps", "P", True), + ("edges_ps", ("NEMO",), False), + ("incidences_ps", ("I", "K"), True), + ("incidences_ps", ("NE", "MO"), False), + ], +) +def test_contains(fixture, uid, expected, request): + ps = request.getfixturevalue(fixture) + assert (uid in ps) == expected + + +# def test_properties_all_entities(edges_ps): +# # Verifies current uids in property store +# property_store_uids = ["I", "L", "O", "P"] +# assert all(p in property_store_uids for p in edges_ps.properties.index.tolist()) + +# # create a list of uids to include entities that don't have properties +# subset_uids = property_store_uids + ["R", "S"] + +# properties_df = edges_ps.properties_uids(subset_uids) + +# # check that the original data in PropertyStore did not change +# assert all(p in property_store_uids for p in edges_ps.properties.index.tolist()) + +# # check that the new properties dataframe have the original and added entities +# assert all(uid in properties_df.index for uid in subset_uids) + +# # check that the entities without properties have default properties +# assert properties_df.loc["R"].to_dict() == {WEIGHT: 1.0, MISC_PROPERTIES: {}} +# assert properties_df.loc["S"].to_dict() == {WEIGHT: 1.0, MISC_PROPERTIES: {}} diff --git a/tox.ini b/tox.ini index 506eae61..d753703a 100644 --- a/tox.ini +++ b/tox.ini @@ -3,33 +3,57 @@ # test suite on all supported python versions. To use it, "pip install tox" # and then run "tox" from this directory. - [tox] -min_version = 4.4.11 -envlist = py{38,39,310,311} -isolated_build = True +min_version = 4.13.0 skip_missing_interpreters = true +envlist = + lint + notebooks-test + py310 + py311 + py312 + +[gh-actions] +python = + 3.10: py310 + 3.11: py311, lint, notebooks-test + 3.12: py312 [testenv] -deps = - pytest>=7.2.2 - coverage>=7.2.2 - celluloid>=0.2.0 - igraph>=0.10.4 - nbmake>=1.4.1 - pytest-xdist>=3.2.1 - partition-igraph>=0.0.6 -allowlist_externals = env +description = run tests +allowlist_externals = env, poetry +parallel_show_output = true +commands_pre = + poetry install --with test commands = env - python --version - coverage run --source=hypernetx -m pytest --junitxml=pytest.xml - coverage report -m + poetry run coverage run --source=hypernetx -m pytest tests --junitxml=pytest.xml + poetry run coverage report -m -[testenv:py38-notebooks] +[testenv:notebooks-tests] description = run tests on jupyter notebooks -allowlist_externals = env +basepython = python3.11 +commands_pre = + poetry install --with test,tutorials,widget +commands = + poetry run pytest --nbmake "tutorials/" --junitxml=pytest_notebooks.xml -n=auto --nbmake-timeout=300 --nbmake-find-import-errors + +[testenv:lint] +description = run linters +basepython = python3.11 +commands_pre = + poetry install --with lint +commands = + poetry run pylint --recursive=y --persistent=n hypernetx + poetry run flake8 hypernetx --exit-zero + poetry run pre-commit install + poetry run pre-commit run --all-files + +[testenv:build-docs] +description = build documentation +basepython = python3.11 +allowlist_externals = make, poetry +commands_pre = + poetry install --with docs commands = - env - python --version - pytest --nbmake "tutorials/" --junitxml=pytest.xml -n=auto --nbmake-timeout=20 --nbmake-find-import-errors + poetry run make html -C docs diff --git a/tutorials/advanced/Advanced 1 - s-Centrality.ipynb b/tutorials/advanced/Advanced 1 - s-Centrality.ipynb new file mode 100644 index 00000000..5a656f69 --- /dev/null +++ b/tutorials/advanced/Advanced 1 - s-Centrality.ipynb @@ -0,0 +1,433 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:39.979029Z", + "iopub.status.busy": "2024-04-03T19:14:39.978899Z", + "iopub.status.idle": "2024-04-03T19:14:42.056196Z", + "shell.execute_reply": "2024-04-03T19:14:42.055883Z", + "shell.execute_reply.started": "2024-04-03T19:14:39.979019Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import networkx as nx\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import warnings \n", + "warnings.simplefilter('ignore')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "source": [ + "## s-centrality metrics\n", + "\n", + "\n", + "\n", + "Hypergraph metrics generalize traditional graph metrics by including parameters for edge size and edge intersection size. In the figure there are two hypergraphs. Each illustrates an edge path of length 2, connecting Blue, Orange, and Green. The path in hypergraph I. has *width* 1, while the path in hypergraph II. has *width* 3. The width of an edge path is the size of the smallest intersection.\n", + "\n", + "While graphs use shortest paths to define a distance metric, hypergraphs can stipulate a width parameter **s** to the shortest path. The edge s-distance between two edges is the shortest path of width **s** between the edges. The s-distance between two nodes has an analogous definition replacing the size of edge intersection with the number of shared edges between consecutive nodes. Because the intuition around edge s-distance seems more natural than node distance we will refer to s-distance in terms of edges unless stated otherwise and use the dual of the hypergraph when considering the s-distance between nodes.\n", + "\n", + "For a detailed exposition of s-distance metrics and hypergraph walks in general see: \n", + "Aksoy, S.G., Joslyn, C., Ortiz Marrero, C. et al. Hypernetwork science via high-order hypergraph walks. EPJ Data Sci. 9, 16 (2020). \n", + "\n", + "In this tutorial we will provide just enough information to provide some intuition about the s-parameter and s-metrics. As described above, s-distance is a true metric on the edges of a hypergraph. We use s-distance to define s-connectedness, s-centrality as well as other analogs to well known graph concepts. \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example\n", + "We illustrate the s-centrality metrics on a simple example. We construct a hypergraph $H$ with 6 nodes and 5 edges and compute the s-centralities for the edges in $H$." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.056956Z", + "iopub.status.busy": "2024-04-03T19:14:42.056701Z", + "iopub.status.idle": "2024-04-03T19:14:42.156811Z", + "shell.execute_reply": "2024-04-03T19:14:42.152911Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.056946Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "class SixByFive():\n", + " \"\"\"Example hypergraph with 6 nodes and 5 edges\"\"\"\n", + " def __init__(self):\n", + " mat = np.array([[1, 1, 1, 0, 0, 0], [1, 0, 1, 0, 1, 0], [1, 1, 0, 0, 1, 1], [0, 1, 1, 1, 0, 0], [1, 1, 1, 1, 0, 0]]).transpose()\n", + " self.hypergraph = hnx.Hypergraph.from_numpy_array(mat)\n", + "\n", + "H = SixByFive().hypergraph\n", + "hnx.draw(H)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Edge s-line graphs for s=1,2,3" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.162587Z", + "iopub.status.busy": "2024-04-03T19:14:42.161048Z", + "iopub.status.idle": "2024-04-03T19:14:42.379707Z", + "shell.execute_reply": "2024-04-03T19:14:42.379427Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.162566Z" + } + }, + "outputs": [ + { + "data": { + 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,3,figsize=(15,6))\n", + "A = dict()\n", + "g = dict()\n", + "for i in range(1,4):\n", + " A[i],names = H.edge_adjacency_matrix(s=i,index=True)\n", + " A[i] = A[i].todense()\n", + " g[i] = H.get_linegraph(s=i) ## corresponding line graph\n", + " ax[i-1].set_title(f's={i}')\n", + " nx.draw(g[i],ax=ax[i-1],with_labels=True, node_color='cyan');\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note the differences between the three linegraphs. The 1-linegraph is uniform so all vertices have equal centrality. The 2-linegraph has two vertices, e0 and e4, that are minimally central to all other vertices and 3 vertices that are more removed. The 3-linegraph has only 1 vertex, e4, with any significant centrality in the linegraph. These differences are noted in the s-centrality metrics below.**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## s-closeness centrality - \n", + "If $u$ is a vertex in one of the s-line graphs above, the s-closeness centrality is computed on each of the connected components\n", + "\n", + "$V$ = the set of vertices in the linegraph. \n", + "$n = |V|$\n", + "$$C(u) = \\frac{n - 1}{\\sum_{v \\neq u \\in V} d(v, u)}$$\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.380381Z", + "iopub.status.busy": "2024-04-03T19:14:42.380227Z", + "iopub.status.idle": "2024-04-03T19:14:42.415496Z", + "shell.execute_reply": "2024-04-03T19:14:42.415185Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.380372Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The 1-closeness centrality of the edges in hypergraph H is:\n", + "e0: 1.0\n", + "e1: 1.0\n", + "e2: 1.0\n", + "e4: 1.0\n", + "e3: 1.0\n", + "\n", + "\n", + "The 2-closeness centrality of the edges in hypergraph H is:\n", + "e0: 1.0\n", + "e1: 0.8\n", + "e2: 0.8\n", + "e4: 1.0\n", + "e3: 0.6666666666666666\n", + "\n", + "\n", + "The 3-closeness centrality of the edges in hypergraph H is:\n", + "'e0'\n" + ] + } + ], + "source": [ + "for s in range(1,4):\n", + " print(f'The {s}-closeness centrality of the edges in hypergraph H is:')\n", + " try:\n", + " d = hnx.s_closeness_centrality(H,s=s)\n", + " for e in H.edges:\n", + " print(f'{e}: {d[e]}')\n", + " print('\\n')\n", + " except Exception as ex:\n", + " print(ex)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## s-harmonic centrality - \n", + "\n", + "The denormalized reciprocal of the harmonic mean of all distances from $u$ to all other vertices. \n", + "$V$ = the set of vertices in the linegraph.\n", + "$$C(u) = \\sum_{v \\neq u \\in V} \\frac{1}{d(v, u)}$$\n", + "\n", + "Normalized this becomes:\n", + "$$C(u) = \\sum_{v \\neq u \\in V} \\frac{1}{d(v, u)}\\cdot\\frac{2}{(n-1)(n-2)}$$\n", + "where $n$ is the number vertices." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.415921Z", + "iopub.status.busy": "2024-04-03T19:14:42.415844Z", + "iopub.status.idle": "2024-04-03T19:14:42.418686Z", + "shell.execute_reply": "2024-04-03T19:14:42.418322Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.415914Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The 1-harmonic closeness centrality of the edges in hypergraph H is:\n", + "e0: 0.6666666666666666\n", + "e1: 0.6666666666666666\n", + "e2: 0.6666666666666666\n", + "e4: 0.6666666666666666\n", + "e3: 0.6666666666666666\n", + "\n", + "\n", + "The 2-harmonic closeness centrality of the edges in hypergraph H is:\n", + "e0: 0.6666666666666666\n", + "e1: 0.5833333333333333\n", + "e2: 0.5833333333333333\n", + "e4: 0.6666666666666666\n", + "e3: 0.5\n", + "\n", + "\n", + "The 3-harmonic closeness centrality of the edges in hypergraph H is:\n", + "e0: 0.25\n", + "e1: 0.0\n", + "e2: 0.0\n", + "e4: 0.3333333333333333\n", + "e3: 0.25\n", + "\n", + "\n" + ] + } + ], + "source": [ + "## \n", + "for s in range(1,4):\n", + " print(f'The {s}-harmonic closeness centrality of the edges in hypergraph H is:')\n", + " try:\n", + " d = hnx.s_harmonic_centrality(H,s=s, normalized=True)\n", + " for e in H.edges:\n", + " print(f'{e}: {d[e]}')\n", + " print('\\n')\n", + " except Exception as ex:\n", + " print(ex)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## s-eccentricity -\n", + "The length of the longest shortest path from a vertex $u$ to every other vertex in the linegraph. \n", + "$V$ = set of vertices in the linegraph\n", + "$$ \\text{s-ecc}(u) = \\text{max}\\{d(u,v): v \\in V\\} $$" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.420654Z", + "iopub.status.busy": "2024-04-03T19:14:42.420549Z", + "iopub.status.idle": "2024-04-03T19:14:42.422794Z", + "shell.execute_reply": "2024-04-03T19:14:42.422460Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.420646Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The 1-eccentricity of the edges in hypergraph H is:\n", + "e0: 1\n", + "e1: 1\n", + "e2: 1\n", + "e4: 1\n", + "e3: 1\n", + "\n", + "\n", + "The 2-eccentricity of the edges in hypergraph H is:\n", + "e0: 1\n", + "e1: 2\n", + "e2: 2\n", + "e4: 1\n", + "e3: 2\n", + "\n", + "\n", + "The 3-eccentricity of the edges in hypergraph H is:\n", + "Found infinite path length because the graph is not connected\n" + ] + } + ], + "source": [ + "## Max s-distance from every other edge\n", + "for s in range(1,4):\n", + " print(f'The {s}-eccentricity of the edges in hypergraph H is:')\n", + " try:\n", + " d = hnx.s_eccentricity(H,s=s)\n", + " for e in H.edges:\n", + " print(f'{e}: {d[e]}')\n", + " print('\\n')\n", + " except Exception as ex:\n", + " print(ex)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## s-betweenness centrality\n", + "The centrality of edge to all shortest s-edge paths\n", + "$V$ = the set of vertices in the linegraph. \n", + "$\\sigma(s,t)$ = the number of shortest paths between vertices $s$ and $t$. \n", + "$\\sigma(s, t|u)$ = the number of those paths that pass through vertex $u$\n", + "$$c_B(u) =\\sum_{s \\neq t \\in V} \\frac{\\sigma(s, t|u)}{\\sigma(s, t)}$$" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:14:42.423340Z", + "iopub.status.busy": "2024-04-03T19:14:42.423215Z", + "iopub.status.idle": "2024-04-03T19:14:42.454470Z", + "shell.execute_reply": "2024-04-03T19:14:42.454212Z", + "shell.execute_reply.started": "2024-04-03T19:14:42.423333Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The 1-betweenness of the edges in hypergraph H is:\n", + "e0: 0.0\n", + "e1: 0.0\n", + "e2: 0.0\n", + "e4: 0.0\n", + "e3: 0.0\n", + "\n", + "\n", + "The 2-betweenness of the edges in hypergraph H is:\n", + "e0: 1.0\n", + "e1: 0.0\n", + "e2: 0.0\n", + "e4: 1.0\n", + "e3: 0.0\n", + "\n", + "\n", + "The 3-betweenness of the edges in hypergraph H is:\n", + "'e0'\n" + ] + } + ], + "source": [ + "for s in range(1,4):\n", + " print(f'The {s}-betweenness of the edges in hypergraph H is:')\n", + " try:\n", + " d = hnx.s_betweenness_centrality(H, s=s, normalized=False)\n", + " for e in H.edges:\n", + " print(f'{e}: {d[e]}')\n", + " print('\\n')\n", + " except Exception as ex:\n", + " print(ex)\n", + " \n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/advanced/Advanced 2 - Homology mod 2 for TriLoop Example.ipynb b/tutorials/advanced/Advanced 2 - Homology mod 2 for TriLoop Example.ipynb new file mode 100644 index 00000000..c9847b04 --- /dev/null +++ b/tutorials/advanced/Advanced 2 - Homology mod 2 for TriLoop Example.ipynb @@ -0,0 +1,1248 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:13.403180Z", + "start_time": "2024-05-16T16:02:10.610284Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:10.660049Z", + "iopub.status.busy": "2024-04-03T19:17:10.659877Z", + "iopub.status.idle": "2024-04-03T19:17:13.805293Z", + "shell.execute_reply": "2024-04-03T19:17:13.804994Z", + "shell.execute_reply.started": "2024-04-03T19:17:10.660034Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import warnings \n", + "warnings.simplefilter('ignore')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Intro: Homology and Smith Normal Form\n", + "The purpose of computing the Homology groups for data generated hypergraphs is to identify data sources that correspond to interesting features in the topology of the hypergraph. \n", + "\n", + "The elements of one of these Homology groups can be represented by $k$ dimensional cycles of relationships in the original data that are not bound together by higher order relationships. Ideally, we want the briefest description of these cycles; we want a minimal set of relationships exhibiting interesting cyclic behavior. This minimal set will be a basis for the Homology group. \n", + "\n", + "The cyclic relationships in the data are discovered using a **boundary map** represented as a matrix. To discover the basis we compute the **Smith Normal Form** of the boundary map. \n", + "\n", + "The simple example below illustrates how homology and Smith Normal Form identify elements of the data corresponding to cycles. Note that we will abuse notation mercilessly in the hopes to keep the ideas cogent.\n", + "\n", + "For an in depth discussion of the homology of finite topological spaces see: \n", + "**Barmak, Jonathan A.. Algebraic Topology of Finite Topological Spaces and Applications. Germany: Springer Berlin Heidelberg, 2011**. (Available as a pdf \n", + "here.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tri-loop :\n", + "We illustrate the methodology on the Tri-loop example: 2 triangles sharing an edge with one triangle filled in." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:13.551678Z", + "start_time": "2024-05-16T16:02:13.404620Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:13.806498Z", + "iopub.status.busy": "2024-04-03T19:17:13.806330Z", + "iopub.status.idle": "2024-04-03T19:17:14.122946Z", + "shell.execute_reply": "2024-04-03T19:17:14.122709Z", + "shell.execute_reply.started": "2024-04-03T19:17:13.806488Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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kJOTM2BYWFktx8ZMYjWp6wtjYpWHX1NTEyZMnZ93q52JzdV/KoBSxHEnQiSVjqYcczL0SykxXcxcLC4ujsLAcg0Htnzc6qr59f7Y1NDTw9ttvX3FuXklJCcXFxTO2vf3223R0dMz5+UIsNRJ0YklYDiHnctn59ttXZjyvTqenrGzXFb++1ZpIYeEODAZ1/pERaGiYDruamhree++9K4bdbFd1Xq+XF1544Yp1CLGUSNCJRW85hBxAdfURbLahGdtycx8mMjL5quqIiEghP38ber1acWVoCM6eDfx1UFlZyUcffTRn2D3zzDOz/n1J0InlRoJOLGrLJeTgxrotvysqKp38/G3odOrrDwxcGnZff/01n3766ayfv2bNGu65554Z25qamvjoo4+uqR4hFjMJOrFoLaeQGxpqo6np/RnbjMZwiou3XXNd0dGrWbduC5qmfo37+6G5eTrsvvzySz7//PNZP18GpYiVQoJOLErLKeRATSnw+WYeEVlU9APM5ogZ264kNjaTdeueCPw99PZCS8t0+2effcZXX3014+eWl5djvGgLoYsdOnSIsbGx66pJiMVGgk4sOsst5Hw+H1999cKs7dfabfldcXE55OVtDhz39MC5c9PtH3/8Md9+++0MnxfHpk2bZjzn5OQkr7766g3VJcRiIUEnFpXlFnIATU3vMzTUOmNbeHg869Z974brjY/PIzd3OrS6uqCtbbr9/fff58yZM5d9nnRfipVA8y2GDbGEYGFDrnNsjF9+/TU6vR5HRA5ne614PF5y424n0ZpxyXPnM+SCrafnDM3NbweO16yBVaum2zdt2kRhYWEIKhMidOSKTiwKy/FKLhSSk9ezdu2DgeO2NujsnG4/efIkjY2NIahMiNCRoBMhJyE3v1JTbyIzc2PguLVVdWX6HT9+nKampuAXJkSISNCJkJKQWxhpaRtYs+buwPG5c+qvFtTgmGPHjtHa2hqa4oQIMgk6ETIScgtr1ao7SE+/LXDc3Ax9fepjr9fL0aNHaW9vD1F1QgSPBJ0IicUSci6vd1mGnN+aNfeQmnpL4LipSa2iAuB2uzly5Igs4iyWPQk6EXSLJeQ8Pi/NQ4PLNuRA7T+XmXkfycmlgPorbmyEwUHV7nK5OHz4MN3d3SGsUoiFJUEngmoxhVzfxAR2/1bdyzDk/DRNIyvrIZKS1NY8/rAbmlpf2ul08sYbb9Dn79cUYpmRoBNBs1hCzu3z0jc5icu/t80yDjk/TdPIzn6EhIR8QG3r09CgtvkBsNvtVFRUMODv1xRiGZGgE0GxWELO6fFwfnh4OuR0umUfcn6apiMn5zHi4tQu5l6v+ifwL2lps9moqKhgaGjmrYSEWKok6MSCW0whV9XTg83fXalpEBe3IkLOT6fTk5e3mZiYtQB4PFBXB+Pjqn1iYoKKigpG/Jd6QiwDEnRiQS2WkJt0Oqns7mbCP/BE08BqBf3KCTk/nU5Pfv4PiI5eA4DbrcJuYkK1j42NUVFRIbsXiGVDgk4smMUSchNOJ6/X1k6HnF4P4eGg0wMrK+T8dDoD+flbiIpKB8DlgtpasNlU+8jICIcOHWLCn35CLGESdGJBLKaQ219ZycDkpHpAr4eY6EDImc2mFRdyfnq9ifz8bURGpgIq7GpqpsNucHCQQ4cOYfM/IMQSJUEn5t1iC7le/1WJXg/JyaBT3ZUGg56cnJwVGXJ+BoOZgoLtWK1JADid6srOblft/f39HDp0CLv/ASGWIAk6Ma8WbciZTJCSAlM7ahsMehITk2bdYXslMRgsFBbuJDw8HgCHQ4Wdw6Hae3t7OXz4MA7/A0IsMRJ0Yt4s2pAzm6GoKBByFouJxMQkDFOjLQUYjWEUFpZjscQC6oqutlZd4QF0dXVx5MgRXP77nEIsIRJ0Yl4s6pArK4OwMADCwsLIyMiUkJuByWSlqKgcszkaUPfqamvVvTuAjo4O3nzzTdz+6RlCLBESdOKGLaWQKy0tle7KOZjNkRQVlWMyRQIwOammHvizra2tjWPHjk3/WwuxBEjQiRuyVEIuNjaWsrKyFT3w5GpZLNEUFe3EaLQCajJ5XZ2aXA7Q0tLCiRMn8PpXlxFikZOgE9dtqYRcfHw85eXlEnLXICwsjqKicoxG9Xc4NnZp2J09e5aTJ09K2IklQYJOXJelFHJ79+4lMjJyQetYjsLD4yks3InBYAFgdFT9E/uzrb6+nnfeeQff1L+5EIuVBJ24Zkst5KKioha0juXMak2isHAHer0JULsdNDRMh111dTXvvfeehJ1Y1CToxDWRkFt5IiJSKCjYjl6vBvEMDcHZs4F/ciorK/n4448l7MSiJUEnrpqE3MoVFZVOfv42dFNLpw0MQFPTdNidOnWKzz77LIQVCjE7CTpxVSTkRHT0atat24KmqZeNvj5oaZkOuy+++ILPP/88hBUKMTMJOnFFEnLCLzZ2LevWPRH4t+7pgXPnpts/++wzTp06FaLqhJiZBJ2Yk4Sc+K64uBxycx8PHHd3Q2vrdPtHH33E6dOng16XELORoBOzkpATs0lIWEdOzmOB485OaGubbn/vvfc4c+ZMCCoT4nISdGJGEnLiSpKSisjKeiRwfOGC+uP39ttvU1dXF4LKhLiUBJ24jIScuFopKSVkZj4QOG5rU1d3fidPnqSxsTEElQkxTYJOXEJCTlyrtLSbycjYGDhubVX37QB8Ph8nTpygubk5NMUJgQSduIiEnLhe6ekbWL36rsBxSwv09qqPvV4vx44d4/z58yGqTqx0EnQCkJATN27VqjtIT98QOG5qUnPtADweD2+++SYXLr6JJ0SQSNAJCTkxLzRNY82ae0lNvTnwWFOTWkUFwO12c/jwYTovvoknRBBI0K1wEnJiPmmaRmbm/SQnlwDqx6ixEQYHVbvL5eLw4cP09PSEsEqx0kjQrWAScmIhaJpGVtbDJCUVAdNhNzys2h0OB4cOHaLP368pxAKToFuhJOTEQtI0jezsR0lIWAeobX3q69U2PwB2u52KigoG/Zd6QiwgCboVSEJOBIOm6cjJ2URcXDYwHXZjY6rdZrPx+uuvMzQ0FMIqxUogQbfCSMiJYNLp9OTlbSYmZi0AHg/U1cH4uGqfmJigoqKC0dHREFYpljsJuhVEQm6aXq9Dr9eh0yF/FviPwWCgoOAJYmPXoNfr8Pl0NDbqsNt16HQ6JiYmOHToEOP+9BNinhlCXYAIDgk5xefz4XZ70On06HR6DAYdev2CfClxEb3eSFHRFhobjzI62gWoqQcFBWCxwPj4OEeOHGHHjh2Eh4eHuFqx3EjQrQASctN8Ph9DQ6N0d6vvNSbGiUF+C4LERGLiD+jqOsjYmJpL19MDpaXqR2B4eJgDBw6wd+9ewqZ+JoSYD9J1ucxJyF3O5/Ph8XjxeLx4vcifIP7R6cwUFT1LWFgSHo+XyUkv336r/u/1eunu7ubgwYPY7fYF/zkQK4cE3TImIScWI6MxjJKS3YSHJwJgt0NlJTgcqr2zs5OXXnoJh/8BIW6QBN0yJSEnFjOTyUpZ2V7CwuIBsNlU2Dmdqr29vZ1XXnkFl8sVwirFciFBtwxJyImlwGSKoLR0DxZLDACTk1BVBf5sa21t5dVXX8XtdoeuSLEsSNAtMxJyYimxWKIpLd2L2ax+DsbHVdj5s625uZmKiorpn2chroME3TIiISeWorCwWEpL92IyRQBq5ZQzZ9TkcoCGhgbeeOMNvF5vCKsUS5kE3TIhISeWsvDweEpL92A0qjl0IyOXhl1tbS1vvvmmhJ24LhJ0y4CEnFgOrNYkSkv3YDBYALXbQU2NmpYAUFVVxfHjx/FN/VwLcbUk6JY4CTmxnEREpFBSshu93gyofexqawM/znzzzTecPHlSwk5cEwm6JUxCTixHUVHplJQ8i05nBKC//9Kw+/LLL3n33Xcl7MRVk6BboiTkxHIWHb2G9eufQadT67P19V3y481nn33Ghx9+GLoCxZIiQbcESciJlSA2di3FxU+haWrV7Z4etVO5P+w++ugjPvnkkxBWKJYKCbolRkJOrCRxcTkUFZWjaeqlqqtL7Xrg99577/H555+HqDqxVEjQLSEScmIlSkjIp6BgO6B+rjs6oLl5uv2tt97i1KlToSlOLAkSdEuEhJxYyZKSisnP3xI4bm+H1tbp9uPHj3P69Omg1yWWBgm6JUBCTghISSkjL29z4Li1FdraptuPHj1KdXV18AsTi54E3SInISfEtLS0W8nJeSxw3NICFy6oj30+H4cPH6auri5E1YnFSoJuEZOQE+Jyq1bdQVbWw4HjpiboVBuW4/V6OXToEGfPng1RdWIxkqBbpCTkhJjdmjX3kJl5f+C4sRG6u9XHHo+H1157jZaWltAUJxYdCbpFSEJOiCvLyLiP1avvDhw3NEBvr/rY7XbzyiuvcP78+RBVJxYTCbpFRkJOiKujaRpZWQ+Tnn47oH5F6urUkmEALpeLl19+mQv+m3hixZKgW0Qk5IS4NpqmkZPzGKmptwDqV6WmBgYGVLvD4eDFF1+kq6srhFWKUJOgWyQk5IS4PpqmkZe3meTkUmA67IaGVLvdbufgwYP0+vs1xYojQbcILLaQmzCZ0BuNEnJiydA0jfz8LSQmFgFqD7vqarWBK8Dk5CQHDhxgwH+pJ1YUCboQW2whZ1y9mtLvfY/cu+/GcOutEnJiydA0HQUF24mPXweo3cmrqmB0VLWPj4+zf/9+hvyXemLFkKALocUYctkbNoBeT9rGjaxZp14wJOTEUqHT6SkqKicuLgeYDrvxcdU+OjrK/v37GfFf6okVQYIuRBZbyPXZbKTm5YHRiCsxEY+mYbfbJeTEkqPTGSgq2kVMzFoA3G6orAT/befh4WH279/P2NhYCKsUwSRBFwKLLeR6Jybweb00VlVR3d9PeHQ0LS0tOBwOCTmxJOn1Rtavf5ro6DUAuFwq7CYnVfvg4CAHDhxgwp9+YlmToAuyxRhyAJjNjCYn4wZqa2uZnJyUkBNLml5vYv36Z4iMTAPA6VRhZ7Op9r6+Pg4ePIjN/4BYtiTogmgxh5x/dOXo6Cher1dCTiwLBoOFkpLdRESkAOBwqLBzOFR7d3c3L774Ina7PYRVioUmQRckSyHkQAaeiOXHaAyjpGQ34eGJANjtcPq0usID6Ojo4OWXX8bpf0AsOxJ0QSAhJ0RomUxWSkv3EBYWB6juy8pKde8OoK2tjVdeeQWX/wGxrEjQLTAJOSEWB7M5ktLSvVgsMYAahXlx2J07d47XXnsNt9sduiLFgpCgW0ASckIsLhZLNKWlezGb1c/6+LiaZ+fPtqamJg4dOjT9OyuWBQm6BSIhJ8TiFBYWS2npHkymCADGxuDMGTW5HKC+vp7Dhw/j9XpDWKWYTxJ0C0BCTojFLTw8gdLSPRiN4YBaE/PMGbVGJkBNTQ1Hjx7FN/U7K5Y2Cbp51tjYSEVFBT6fD51Oh66vD93Zs+pjvZ4Nq1fz+Lp1aHo96HQL9mfC7eZgdTX9djs6vR5deDi6m29GZ7Wi0+lITEyUkBMrmtWaREnJbgwGCwDDw2ohaH/YVVZWcvz4cQm7ZcAQ6gKWk5aWFt555x0iIyPVA/396q1icjIAxcnJPJCRseBXcpMuF2+2t+OMjCQmMhJMJigoAIv6hY6JiWHbtm3TdQqxQkVGplJS8hyVlQfxeBwMDkJtLRQVgabB119/jcFg4LHHHlvw31uxcOSKbp40Nzdz7NgxnE4nHo8HT3c3noYGPE4nHpeLwthYHli1Cs3rVTcDFujPpM1GxZkz9I6M4HG58GgantxcPEYjHo+HyMhICTkhLhIVtYr1659BpzMC6v1pXV3gTgNffPEF7733nlzZLWESdPOgubmZ3/zmN7jdbrxeL96eHryNjXjdbrweD8UJCTyUmYnm86l+kQX6M2m383p1Nf1jY3g9Hrx6Pd78fLxmM16vl+joaHbu3CkhJ8R3xMRksH790+h0qpOrt/eS2+p8+umnfPTRRyGsUNwICbob5A+5wAitvj5oagr8hpQkJ/NwVtbCd1c6nbxeW8uAf9Vak0n1v0wNPImNjaW8vFxCTohZxMZmUVS0C03TA2oM2dmz0+0ffvghn376aYiqEzdCgu4GSMgJsbzEx+dSWLgTTVMvjZ2d6lfa79133+Xzzz8PUXXieknQXScJOSGWp8TEAvLztwHqd/fCBWhpmW5/6623+Prrr0NTnLguEnTXQUJOiOUtOXk9+flbAsdtbdDaOt1+/PhxKisrg1+YuC4SdNdIQk6IlSElpYzc3McDx62tKvAAfD4fb775JtXV1aEpTlwTCbprICEnxMqSnr6B7OzvBY5bWlRXJqiwO3z4MPX19SGqTlwtCbqrJCEnxMq0evWdrF37UOC4qUkNUgHwer1UVFTQdPGIFbHoSNBdBQk5IVa2jIx7yci4L3Dc2Ajd3epjj8fDq6++yrlz50JUnbgSCborkJATQgBkZt7P6tV3BY4bGtTEcgC3283LL79Mm/8mnlhUJOjmICEnhPDTNI2srEdIT78NUC8DdXVqyTAAl8vFSy+9REdHRwirFDORoJuFhJwQ4rs0TSMnZxOpqTcD6uWgthYGB1W7w+Hg4MGDdPv7NcWiIEE3Awk5IcRsNE0jL28zycklgFpqtroahoZUu91u58CBA/T6+zVFyEnQfYeEnBDiSjRNR37+VhITC4HpsBsZUe2Tk5McOHCAgYGBEFYp/CToLiIhJ4S4Wpqmo6BgB/Hx6wC1U1ZVFYyNqfbx8XH279/PkP9ST4SMBN0UCTkhxLXS6fQUFZUTG5sNqLCrrITxcdU+OjrKgQMHGB0dDWGVQoIOCTkhxPXT6QwUFz9FTEwmAG63CruJCdU+NDTE/v37Gfennwi6FR90EnJCiBul1xtZv/4ZoqJWA+ByqbCz2VT7wMAABw4cYNL/+y2CakUHnYScEGK+6PUmSkqeJTIyDQCnE06fBrtdtff29nLgwAFs/vQTQbNig05CTggx3wwGCyUlz2G1JgPgcKiwczhUe3d3Ny+++CIO/wMiKFZk0EnICSEWitEYTmnpHsLDEwB1RVdZqa7wADo6Onj55Zdx+h8QC27FBZ2EnBBioZlMVkpL9xIWFgfA5KQKO5dLtbe3t3P8+HFc/gfEglpRQSchJ4QIFrM5ktLSPZjN0YAahVlZqUZlAly4cIHjx4/j9j8gFsyKCToJOSFEsFksMZSV7cVkUr/P4+NqUrk/21pbWzl+/DgejyeEVS5/KyLoJOSEEKESFhZHWdlejEYrAKOjarkwf7Y1Nzdz8uTJ6dcnMe+WfdBJyAkhQi08PIHS0j0YDOr3fWQEzp5Va2QCNDQ08Pbbb+Obel0S82tZB52EnBBisYiISJ4KOwugwq6xcTrsampqePfddyXsFsCyDToJOSHEYhMZmUpJyXPo9SZAbe3T2Bh4WaKqqooPP/xQwm6eLcugk5ATQixWUVGrKC5+Gp3OAKhNW8+enQ67b775hk8++UTCbh4ZQl3AfLvakLO5XLzd2HjDX0+vaUSazURaLESZzaRGRRFhNkvICSFmFROTQWzs49TUHMXj8dLfDzodZGeDpsFXX32F0WjkzjvvDEo9k5OTvP3229f8eZqmYTAYMJvNmM1mLBYLCQkJJCUlYbVaF6DS67Osgu5aruR6x8fZ9sIL816DpmlkxcURa7WSEhVF6apVxMbESMgJIS4RHZ1Bbu7j1NUdxefz0durQi5b7fjD73//ewwGAxs2bFjwWnp7e9m2bdu8njM8PJy1a9eSn59Pfn4+t9xyC3fffTdJSUnz+nWuxrIJusXSXenz+WgeGICpnYVPVFeTmZHBRrOZ9evXS8gJIQLi4rLJy9tMY+NxfD4fPT3qym7tWtX+8ccfo9frufnmm0Nb6HWYnJykpqaGmpqaSx7Py8vjBz/4AU8++WRQQhyWyT26xRJyM/EB586fZ//+/fzrv/4rZWVlEnJCiID4+DxycjYFjru64Pz56fYPPviAqqqqEFS2MBobG/m7v/s7brvtNtatW8c//dM/Lfj2RUs+6BZzyH1XbW0tGzdu5Pjx46EuRQixiCQmFpCd/WjguKMDLlyYbn/nnXeora0NQWULq7GxkT/7sz8jIyODX/7ylws2aX5JB91SCjm/iYkJduzYwbvvvhvqUoQQi0hy8nrWrn0ocNzWBp2d0+0nT56koaEhBJUtvP7+fv7tv/233H777TQ1Nc37+ZfsPbqFDLn7srL48M/+7KqeOzQ5yYtVVbQPD9M9Okrb6ChV3d0MDQ/P+jlOp5NnnnmGmpoaEhMTr7k+IcTylJpahs/nprX1IwBaW9UAldRU1X7ixAn0ej05OTlBq+m+++7jww8/nPM5Ho8Hm82GzWajt7eX7u5umpubqa6u5tSpU3z11VdXtXj1qVOnuOWWWzhw4ABbtmyZp+9giQbdYrmSm3Q6OdrYiNPrJTkqiuSEBEqLingiLIzTp09z4sQJhoaGZvzcvr4+fvazn/EP//APC1qjEGJpSUu7Fa/XTVvbZwCcO6cGqCQnq8Fux44dY+vWraz1j1hZBPR6PREREURERJCYmEhRUREPPTR9dTo2NsbJkyfZv38/b7311pxdlKOjo+zYsYMXX3yRp556al7qW3Jdl4sp5OaaJ/fAAw/whz/8gby8vFnP8cILLzA6OrqgdQohlp5Vq+5g1arbA8fNzeqlDsDr9XL06FHa29tDVN21i4yM5Mknn+TEiRPU1NRcMcA8Hg/PPffcvI1nWFJBt1RCzj+FYN26dbz++uvo9foZzzMxMcE777yzoLUKIZam1avvJjX1lsBxU1Ng1hIej4cjR47Q0dERouquX35+Pq+88gonT54kJSVl1ud5PB727NlDa2vrDX/NJRN0Sy3k/FMISktL2bFjx6zn+/zzzxe0XiHE0qRpGpmZ95GcXAqol7rGRrVkGIDL5eLw4cN0d3eHsMrr99hjj/HFF19QVFQ063OGhobYvXv3DX+tRR90LpeLr7/+mhdeeIHOzk56e3sZOXcOR309vqnQW6wh5/fEE0/Mes6WlpYFq1cIsbRpmkZW1kMkJRUD02Hnv/XvdDp544036O3tDWGV12/NmjW88847ZGRkzPqcTz/9lFdfffWGvs6iG4zi8/no6OigqqqKtrY22tvbaWhomF7gdGIi8JZG0zRy4+IINxqZcDqJMJsXrK4bWbsyNzd31vPKPTohxFw0TSM7+xG8Xjf9/fV4vdDQAAUFEB0NdrudQ4cOsWvXLuLj40Nd7jVLTU3l8OHD3HHHHbhcrhmf89/+23+jvLx81ttAV7JorugcDgenT59m//79vPbaa9TV1c0ZcgBJVivxYWF8fuECv/zmG37T0EDb8PC8r/p9ows0x8bGznpu8wKGsxBiedA0Hbm5m4iLU9MKvF6or1e7lQPYbDYqKipmHeW92N1888385Cc/mbW9tbWVo0ePXvf5F0XQNTU18atf/Yr33nuPgam7rYODg9SdrcNutDMRPsGoqZfBsA6GUm2MxTsJTzGRkmSFqd5Kn8/H2YEBKmprqaipYdzhmJfa5mMXgrl++GJiYualTiHE8qZpOvLyNhMbmwWAx6PCbnxctU9MTFBRUcHIyEgIq7x+P/7xj0lISJi1/R//8R+v+9whDTqv18vHH3/M0aNHsdlsgcfbh9v5fd/vuZB6gd7kXgYjexix9DER42I8zoV7jYeJtQ4qU3r4OrWL9qhRnHrP9OePjnKwqor2G/wHn6+tdpqbm2dtC+bETyHE0qbT6Vm37gmio9cA4HZDba3q7AI1X62iooKxsbEQVnl9IiMj+Xf/7t/N2v7hhx8yeFGP3rUIWdD533189dVXgccGGOD3E7/n92O/ZyJ8Ql2tOV1wUQhGmIzEWCyBgSdOg4f26BG+Tu2kIb4fu17Nvp90uXi9poYvOzquqytzPveTm2suyO233z5rmxBCfJdOZyA/fytRUenAdNj5XyZHRkY4dOgQE/70W0L27ds366BCj8fDb3/72+s6b0iCzmaz8dprr3FhatVSL15aaOG07TTtg9OTIHWah4gENzH5FhJuDqf4kSTu2bSG3NvjWV0UTWyqZbrrUoOBcBtnknsYstgD5/jk/HnebWm5prDz+nzzFnI1NTVUVFTM2BYfH8+DDz541XUJIQSAXm8kP38bkZFqbTCXC6qrp8NucHCQioqKS3rKloK1a9dSWlo6a/sHH3xwXecNetD5fD7eeuutwH0rBw5qqOGc7Rz9/f0AmOPNxJWEkXabjtiiMCIzTWRmxVCYkUB0koWkTCuri6IouDeRm7+fyqqCKIxmNRrHpfdSl9BHe9QoPlS4VfX08GFr61WHXe/ExLyEXE9PD0899dSsa7z98R//sQxGEUJcF4PBTEHBdqxWtZGpywU1NWCfep8/MDDAoUOHsNvtc5xl8XnkkUdmbfv666+v65xBD7pTp04F5o65cHGGM/Taeunv70fTacTeEkvi7eFYrTY0nbpcS46IICsmZsZLWovVwJr10ZRtSiY2TYURGrRHj3A2bjAQdt90dfFJW9tVhZ3LPyn9BkLuzTff5Pbbb6e6unrG9rVr1/IXf/EXVzyPEELMxmCwUFi4k/BwNa3A6VTdmP6xeL29vRw+fBjHPA3OC4a5bufU1NRc1/cS1KC7cOECn376KQA+fJzlLOOOcQYGBjBYDSQ9mEREioZ20SjFuULuYkaTnvy748koiQl0Z/ZbJ2mOGwqE3VcdHXx+8SZPc7nKkHM6nQwMDNDQ0MDhw4f5yU9+Qk5ODtu2beP8xbsnXiQxMZHf/OY3WK3Wq6tFCCFmYTSGUVhYTlhYHKCu6GprVegBdHV1ceLEiXmfdrVQSkpKZm1zu92zvq7OJWgTxn0+Hx999FHg+AIXGPAMMDAwgM6sI/HBRAxexyXz5K425Pw0TSM9P5KwKAMNvx/A5/XRa51A82lkD6m5bL9vb8eg05E4FWAzaenv5/+aYSb+v/k3/+Zqv91Z3XXXXbzwwgtzTiIXQohrYTJZKSzcSXX1azgcI9hsKuyKisBohHPnzvHFF19wxx13hLrUK8rKykKn0826w8GFCxfmXCx/JkG7ojt//nxgjtwYY7T72hkcHMTtdRN/RzwGneeGQu5icWlh5N0Rh/9TeyLGORczHGj/+Px5qnt6buj7uRZ6vZ4HH3yQ119/nU8++URCTggx78zmSIqKyjGZVK/T5KRaQcV/IffZZ59d19VQsOn1+jn36byehayDFnSnTp0KfNxFFza7DbvdTnRxNOZ4w/Sy3ECy1XrdIecXvyqcnNviAt2YXZFjnI+anlf3h6vtwrxBhYWFvPrqq5w4cYLy8nJ0ukUxR18IsQxZLNEUFZVjNIYDauWUtrbp9vfee29JdGHOFXTXM0cwKK+6Y2Nj1NfXA+DEyQADjI+NozfricyLVCuUetSE7yizhazY2HlZoDkxw0r2rdPLb3VEj9IepdbMcc2x8d98qq2tpby8nOTkZH7yk5/QE8QrSSHEyhMWFkte3hOB19CODvCvnTE0NDQv294sNIvFMmvb9UyZCErQVVVVBfpbe+jB5XJhd9ixrrWi+TyByR9GvZ68+Lh53YUgeW0Ea2+OCRy3R49w3jrC2YuuIINhdHSU//k//yfZ2dn86le/CurXFkKsLNHRq8jIuDdw3NU13VZZWRmCiq5N2BxjKK4n6IIyGKWzszPw8QADasa+BtZs6/RCbUB6ZCSmGVan9vl8tFeP0t08jtGsJ+uWWKKTrn7+WWpOJD4PtFYO4/H6+NrYiS5i9ucXFBTw13/911d9/omJCUZGRujt7eXbb7/lq6++ouvin6zvPPeHP/whH330Eb/+9a+vezVuIcTK5PN5aW39iN7eaiyWaLKzv0dERPJlz0tNvYWOjq9xuSYYGlKjMS0WtSThxMTEoh71PdvcY+C6XjODEnT+yeE+fNix43Q6MUWZMFgN0KGWqdFpGonh4Zd9rn3CzbH/byNt1dP31z58oZWNezK45fHUq64hbV0kTreHbz7vwuX14kiceTsIgKSkJLZu3XrV5/4un8/Hu+++y89//vNZl6w5ePAgmqbxwgsvLPg+emKa0WgkPFxPRAS4XJ4rf4IQi8jkZD9vvvk8XV3fBB774IP/Dw8//P9SXLzrkudqmo6UlFLa23+Pz6eGQaSrVcPo6ekhKysrmKVfk7kmuc91tTeboHRdDg8PA+r+nA8fbrcbfYRe3Zeb6tKMNJkxzpDU7//LuUtCDsDr8fHhr1tprRy+6hqcHg/D8XbC1k5l+wJmi6ZpPPLII5w4cYIDBw7M2t984MAB/vf//t8LV4i4hNFoZP369dx7781s3nwzDz+8HqNR3mSIpePkyf94ScgBeDwO3n77/6Kr6/Rlz4+Lyw58fHGP32Lf4WD8op6+71qUQWe325mcWk7LgQOfz4fb41ZXc57pd9QWw+UhNznqov6z/lnPXfnW1Q3scHo81Pb1MelyEZVjJjLbAjNcPfrN5yoCu3fv5sCBA7Netf35n/+57DIeJHq9HovFgsvlxuFwExlpwWiUUbBiaRgaOkdr64cztvl8HqqqDl72uNkcFfj44oukxR503d3ds7bNtZXPbBb8t9wfcqCu6PyDUvRh+kuCzmS4vBd1tM+Bb47BkcM9V17D7eKQA9AMBqLvXUN41uw36fr7++f8i75W5eXlPPvsszO2TU5O8rd/+7fz9rXElTmdLhyO2buuhViMRkba5mwfHj532WMGgwW93ghMr5QCl74uLzZjY2NzTiFYtWrVNZ9zwYMu/KIrJxOmwDwyj90DF3VVOj2X3y+JjDfP2cUYlTD3gJTvhhx6PSQloRmNRBVFzfp5Xq+XN954g97e3jnPfy3+x//4H7O2vfjii4v+HZYQIrT82/LM3n55AHg8Tjwe9fpnMk0/fj3df8FSW1s7Z/vq1auv+ZwLHnQWiyVwj8qECU3T0Ov1uCfclwSd3XX5KBtrjJGcDXGznrvkkaRZ22YLOaauHOeapwGqy/XQoUOB1VxuVF5eHgUFBTO2TUxM8P7778/L1xFza25uxmQyYjYbQ12KENckLi6H9PTZFjzWWL/+8l4ju336DfTFL3nR0dHzXN38qaqqmrUtJiaGtLS0az5nUG5QxMaqSdtmzGhoGA1GPONTV3RTV3jjTgfuGSZxP/KnWaTkfKebUYM7n1xF9iwheDUhl5c7+1ppHtTVpc1m4/XXX7/uXW2/a+PGjbO2+Re7FgvH5XIxOjqK0WjAbDYwNmbH5QrOwgFCzIfvf/8fiI+/9LVL0/Tcf/9PWbXq8hC8uDtzqQTdxWsif9fNN998XecMyvSC2NhYenp60NAwY8ZoNDI2Mobb5sYQHg7j43h8PvomJkj9zu4A4VFGnvp/imj+aojupnGMYXpyNsSSmDHzHJCrCbmioiImumbffXeSScYZJ4IIJicnOXToELt27brhH465+pZrampu6NziyjweD263m08++YbmZjW9ICsrM9RlCXHVoqLSee6533H27G8D8+hyc79PXFzOZc/1+bx0d09PDo+Pn25LSpq9NyyU/FOzZnPbbbdd13mDEnSpqamBJcDiiWfYOszY+BiTLZNE5UUEJo13jI2REB5+2TQDvUFH3p3x5N0Zf9m5L3a1IWc2m5lg9qDz4aOWWooowoqVsbExKioq2LVr11XtRTeb+PjZ65+vLlIxN5fLxeSkizlGLwuxqKkNV7dRULBtzuf19JzB4VBLHsbEBHYcIyMj44ZexxbSe++9N+cyiZs2bbqu8wal63L9+vWB4fVJJGEymTCbzIy3jOPTG8CsrqmdHg9Ng4PXtejotYTc1XDjppZaJlGjk0ZGRqioqFCrulynub4v/1xDIYS4UePjPbS2fhA4Tr1obY2ysrLgF3SV/uVf/mXWtvj4eO6+++7rOm9Qgi4mJiawNY0FC7HEEhEZgcfmYbxpHOJiA/fqhux2mgYH8VzDosvjTidnenvnLeT0ZnVF6cJFDTXYUDMth4aGqKiouK611mDuqzbTxUOihBDiOjkcYzQ0/AavV401SEmBqWESREVFLdoVUWpra6moqJi1/amnnrruJRODNlv21ltvDXycSiphYWFYzBZGqkZwjngv6UDum5zkTG8vow7HnFdBHq+XzrExqnt7cfjXRrvBkAMITwjHmqTuAfrDzo6aszcwMMChQ4euK+za2mafB+MfsCOEENfL6ZygtvZQoMsyMhIyM6fbH3jggUW7VdiPfvSjWTdb1TSNf//v//11nzto33F2djYxMTEARBNNmpZGXHwcOk3HwB8G8GhGFXZTXZyTLhfVvb1U9fbSOTbGoM3GpMvFmNNJ/+Qk54aH+bqri9bhYbz+MDSZbjjkADSdRuHOQsIT1BxAJ05qqcWBWjGlt7eXI0eOXPMKKnONJlqs77KEEEuDy2WjtrYCm02NErdYIC8v0FnGhg0byMm5fNDKYvCP//iP/O53v5u1ffPmzeTn51/3+YMWdJqmce+909tGZJJJrD6W+Lh43JNuBj4bwGu0qOts4/Qcpwmnk9bhYer7+znd3c2Znh4aBwboGhu7dDpCRMS8hJyfMcxI4c5CwuLUHVw7dmqpxYlaXqCrq4sjR47gvHi5gTnU1NRw9uzZWdsvvuIVQohroULuEJOT6vaI2QyFher/AOnp6dd9f2uhvfXWW/yn//SfZm03Go383d/93Q19jaBew65du5YNGzYAoKGRSy4RlggSEhJwDbro/6gfj1eD5GSIi7t0Kv9MNA2sVvX82NjA1WBUZBTFxcXXHXJ+JquJwp2FmKPVeWzYqKUWF+peYEdHB0ePHsXluvJyUn/5l385Z/sjjzxyQ7UKIVYmt9tBff0RJibUSk5Gowo5/7y5+Ph4tmzZsii3BHv11VfZunXrnNvy/PjHPyYvb/Z5z1cj6J21d911V2AJFzNmCikkKiyK5KRkfGM++j/sx+PwTgdYSooKvagotRBzRIQaKxsfr4YSfScQ09LSKCwqnLfBHeZIM0XlRZgi1fkmmaSWWtyof5i2tjaOHTuGZ4YlzPwOHjzIa6+9Nmv7rbfeOuuqKUIIMRuPx0l9/RHGxtT+l0YjFBdPTyWIi4ujvLx80S35NTY2xp/+6Z/yzDPPzHkL6N577+VnP/vZDX+9oAedTqfj8ccfJyJCrXZixUoRRYQZw0hMSsTisTDw8YBaCxPUv5zVCtHRKtxiY9Ud1vDwS5YQs1qt5Ofnk5mZOe83Wy3RForKizBaVZfqBBPUURdYQeXcuXMcP358xrD71a9+xQ9/+MM5z/+Tn/xkXusVQix/Xq+b+vqjjI52ANNXcv5Mi46OZufOnYtqg9WxsTH+7u/+jpycHH7xi1/MOdgwNzeX119/HcMMC/5fq5AMv7FarZSXlwfCLpxwiinGorMQHRNNgjUBX5UPszZ316NerycxMZH169dTUlJCXNzs62LeqLDYMIqfLMYYpsJujLFLwq6pqYmTJ0/i9Xrxer387ne/43vf+x4//OEP57yP99BDD7F9+/YFq1sIsfx4vR4aGo4FdjQwGKCgQF0TAERGRlJeXr4oJob39vby6quv8swzz5CcnMyPf/zjKy6Yn5OTwwcffEBKSsq81BCUlVFmEhcXx65du6ioqGB0dJQwwiiiSI1u1DnQeXRQAyXbStAsGg6HA7vdjk6nw2KxYDabsVgsC7I790T/BNVvVs/Yplk1ek734HF56KSTNtpIdibjsDv43e9+x1/91V/R2tp6Vdv8pKWlsX//ftlhXAhx1Xw+L42NxxkaUvtY6vWQn6/u6sD0hcR8rWfZ39/Pm2++OedzPB4PDocDm81Gb28v3d3dNDc3U11dzfnz56/p6z322GO8+OKLc64kda1CFnSgJpL7w254ePiSsLNjxzHioP5QPUXlRQt6tfZdPTU9vLDthQX9GikpKbz11lukp8+99YYQQvj5fF7Onj3J4GAToKYO5OerIQygtt8pLy+f13m5NTU1bNs293Jj8yEiIoKf/vSn/OhHP5r3N/8hnzkYFRXFrl27AkFmwUIxxYShOpqd406qX6tmcmDxbhR4rR588EE+//xz1q9fH+pShBBLhM/no7n5Hfr71brBOh2sW6eGL4CaUlVeXj6vV0LBYDKZ+KM/+iMaGhr4L//lvyxID1fIgw5Uku/atSuwRboJU2BBZQDXpIua12qY6L3+dSYXg7i4OP7lX/6F9957j4yMjFCXI4RYInw+Hy0t79Hbq26paJqaDO6/cDOZTOzYsYPExMQQVnltMjIy+O///b/T2trKr371q+vaZ+5qhbTr8mLh4eE8+eSTvPHGG/T09GDCRCGF1FHHOOO4bC5qXq+hYEcBkamhv8F6tTRN4/777+eP/uiP2LFjx6Ib5iuEWNx8Ph+trR/R06O23PGHnP9ujtFoZPv27fM2cGOhmM1mNmzYwMaNG9myZct1b7lzPRZN0IHqX965cydHjhyhs7MTI0YKKaSeekYZxe1wU3uoloLtBUSlR4W63ACdUYfBaMAYZsRgMRAbE0teeh6rVq1i9erVPP7444GJ8kIIcS3a2j6lq+vrwHFOzvTSwHq9nm3btoX0Xr9Op8NsNmM2mwkLCyM+Pp6kpCSSk5PJysoiPz+f/Px81q9ff8OLeFwvzXc9e+IsMKfTyZEjR7hw4QKgdvyuo45R1EKlOoOO/G35xKyJCWGVlxpoHKDhWEPgOJVU1rI2cPzggw9y0003haI0AXR2dvLLX/4SgI4O8K/GVlCwneTkkhBWJlYinU6te+HxwFwbtVy48DltbZ8FjrOz1Toa6hw6tm3bRubFqzaLGS2Ke3TfZTKZ2L59e+AfUI+eQgqJIQYAr9tL/eF6hs4Nha7I74jPiyd3U27guIsu2pjereD999/nzJkzoShNCLEEdXZ+dUnIrV07HXKapvHEE09IyF2lRRl0oPqdt2zZQnZ2NgA6dOSTTxyqY9rr8VL/Zj2DTYOhLPMSiYWJZD+aHTi+MPWf39tvv01tbW0oShNCLCFdXd/S2vpx4Dgz89LNUx9//PFFuxPBYrRogw7AYDDwxBNPBBb01KFjHeuIR3VQ+7w+Gn7TQH99fyjLvETy+mTWPjjdZdlGG510Bo5PnjxJY2NjKEoTQiwBPT1nOHfu/cDxmjVw8YDETZs2sW7duhBUtnQt6qADdbP18ccfp7CwEFC7HuSRRyJqGK3P56PxRCO91XMvKRNMqTelkrkxM3DcSitddAWOjx8/TlNTUwgqE0IsZn19tTQ3vx04Tk+HVaum2x999NHAa6G4eos+6EDddH3ssccoLi4GVNjlkEMyyYHnNP2uie6qKy+7FSxpG9JYc/eawPE5ztFDD6DC+dixY7S2toaoOiHEYjMw0EhT01uB49RUuHi67YMPPiiLTFynJRF0oG6+Pvroo4GRixoa2WSTwvTckZZ3Wuj8pnO2UwTdqjtWkX7b9LDfZprpow8Ar9fL0aNHaW9vD1V5QohFYnCwmcbG44HV/JOT1eATv40bN8qo7RuwZIIOVNg98MADl8xJyyKLdKbDpPWDVjq+7AhFeTNac88aUm+ZvovcRBMDqF2A3W43R44coaNj8dQrhAiuoaFWGhp+Ewi5pCTIyppuv+uuu2Qe7g1aUkEHKuzuvfde7rzzzsBjGWSwmtWB4/OfnKf99+1z7nUULJqmkXlfJsmlqpvVh49GGhlEjRZ1uVwcPnz4qnY7EEIsLyMj7TQ0HMXnU5PpEhLUXDn/co+33XYbd9xxRwgrXB6WXNCBCo+77rqLe++9N/DYalaTwXSHdvsf2jn/yflFE3ZZD2WRVJwETIfdEGoeoNPp5I033qCvry+UZQohgmhsrJOGhqN4vW5ALemVmzsdcjfffDP33HOPbOM1D5Zk0Pnddttt3H///YHjdNLJJDNw3PlVJ+c+OLdowi77kWwS8tXC1V68NNDACCMA2O12KioqGBgYCGWZQoggUCH3GzweF6AWZ87Lmw65kpIS7r//fgm5ebKkgw7glltu4eGHHw4cp5FGFtMd3N3fdtPyTsviCDudRs5jOcTlTE16x0s99YwxBoDNZqOiooKhocWz4osQYn6Nj/dQVfUSHo8TUNvsrFunlgUDKCoq4uGHH5aQm0dLPugASktL+d73vhc4TiGFHHLQUD8oPWd6aHqrCZ839GGn0+vI25xHbJbaX8O/juc44wBMTExQUVHByMhIKMsUQiyAycl+KisP4HbbALVhan7+dMitW7eORx99VEJuni2LoAMoLi7m8ccfD/yAJJFELrmBsOur7aPxRCNezxwrqAaJTq9j3RPriF6jdkx046aOOiZQ++2NjY1RUVHB2NhYKMsUQswjm22Q06f343Kp3/PISHUlp9er9pycHDZt2oROt2xelheNZfU3mp+fzxNPPBH4QUkggXWsC4TdQOMAjcca8boXQdgZdORvyQ9sN+TCRS212FDv9EZGRjh06BATE0t7s1khBNjtw5w+vR+nU715jYhQ9+QMUxulrV27ls2bN6P3p56YV8sq6AByc3PZsmVL4AcmjjjyyUc39a0ONg9Sf7Qej8sTyjIB0Jv05G/LD2wk68JFDTWBsBscHOTQoUPYbLZQlimEuAEOxyiVlQdwONTtCKsVSkqmQ27NmjX84Ac/kJBbQMsu6ACysrLYvn07hqmfpFhiyScfPeoHabh1mLojdXicoQ87g9lAwfYCrElWAJw4qaUWO3YA+vv7OXToEHa7PZRlCiGug9M5QWXlAWw2NW82PBxKS8FoVO1paWls2bIl8FolFsayDDpQ75J27tyJyWQCIIYYCigIhN1o+yh1b9ThtrtDWSYABouBwp2FhMeHA+DAQS21OHAA0Nvby+HDh3E4HKEsUwhxDVyuSSorDzA5qXZXsVhUyE29JJGSksLWrVsDr1Fi4SzboANIT09n586dge3bo4iikEIMqHdPo52j1B6qxWVzhbJMAIxhRgrLC7HEWgCwY6eWWpyoIchdXV0cOXIElyv0tQoh5uZ226msPMjEhFrI3WyGsjL1f1Ah98QTTwRem8TCWtZBB5Camkp5eTlhYWEARBJJEUUYUX0H4z3j1FbU4px0hrJMAExWE0XlRZij1Q+/DRu11OJChVtHRwdHjx7F7Q79VagQYmZut4OqqhcZH1dbc5lMKuQs6j0sSUlJPPfcc4HXJLHwln3QASQnJ/Pkk08SHq66Bq1YLwm7ib4Jal6rwTEe+q5Bc6SZovIiTJGqO2OSSeqow40Kt/Pnz3Ps2DE8ntDfXxRCXMrjcXHmzMuMjl4A1L240lLwZ1p8fDx79uwJvBaJ4FgRQQeQkJDArl27iIiIACCccIopxoQKFNugjZrXarCPhn7QhyXaQlF5EUbr1FUn49RRhwcVbi0tLZw4cQKvN/TTJIQQitfrprr6VUZGzgNqVGVpqRplCRAbG8vevXsDr0EieFZM0AHExcWxa9cuoqLU3LUwwiimGDOqq9A+bKfmtRpsw6Efzh8WG6bCLkyF3Rhjl4Td2bNnOXnypISdEIuA1+uhpuZ1hoaagemQ82daVFQUe/fuDbz2iOBaUUEHEBMTw65du4iNVUtwWbBQTDEWVAe6Y9Shwm4w9GEXHh9O4c5CDJapwTOMUk89XlS41dfX88477yyKdTyFWKl8Pi91dW8wMNAIqJVO1q9XK58AREREsHfvXmJiYkJX5Aq34oIO1LurJ598krg4tbiyGTPFFBOO6jd3jjupfq2ayf7JUJYJgDXJSuGOQvQmNS1ihBEaaAiEXXV1Ne+9956EnRAh4PN5qa9/k76+WkCtWbl+vVqoGSA8PJy9e/cSHx8fwirFigw6UO+ydu3aRWJiIgAmTBRRhBXVoe6adFHzeg3jPeOhLBOAiJQICrYXoDeqsBtiiLOcxYcKt8rKSj7++GMJOyGCyOfz0dh4nJ6eKkCFXHEx+C/cwsLC2LNnT+A1RoTOig06UO+2ysvLSUlJAcCIkSKKiEB1rLtsLmorahnrDP3iylHpUeRvy0enV/9kAwzQRFMg7E6dOsVnn30WyhKFWDF8Ph9NTSfp6voGUPvIFRaqzVMBzGYzzz33XOC1RYTWig46UO+6du7cSVpaGgAGDBRSSBTqprHb4ab2jVpGLoR+25zo1dGs27IOTTe1IwN9tNASCLsvvviCL774IpQlCrHs+Xw+WlreoaPjS2A65BLUnsqYTCaeffZZ0tPTQ1iluNiKDzpQ77527NjB6tWrARV2BRQQjepo9zg91L1Rx/D54RBWqcSujWXdE+sC2xH10MM5zgXaP/30U06dOhWq8oRY9lpbP6C9/feB4/x88PdOGgwGnn76adasWROi6sRMJOimmEwmtm3bRmZmJgB69BRQQAwxAHjdXuqP1DPYMhi6IqfE5cSR+3hu4LibblppDRx/9NFHnD59OviFCbHMnT//CefPfxw4XrcOkpPVx3q9nqeeeoq1a9eGqDoxGwm6ixiNRrZs2UJ2djYAOnTkk08cquPd6/HScLSBgbMDoSwTgIR1CeRumg67Tjppoy1w/N5773HmzJlQlCbEstTe/gfOnXsvcJybC6mp6mOdTkd5eTk5OTkhqk7MRYLuOwwGA0888QTr1q0DVNitYx0JqA54n9dH47FG+uv7Q1kmAImFiWQ/mh04vjD1n9/bb79NXV1dKEoTYlnp6PiK5ubfBY6zssB/C07TNHbs2EF+fn6IqhNXIkE3A71ez/e//30KCwsB0NDIJZckkoCpYcUnGumt7g1lmQAkr09m7YPTXSVttNFJZ+D45MmTNDY2hqI0IZaFrq5vOXv2ROA4MxP8t+A0TWPr1q0UFRWFpjhxVSToZqHT6XjsscdYv349oMIum2ySSQ48p+l3TXRXdoeqxIDUm1LJ2JgROG6llW5UXT6fjxMnTtDc3Byq8oRYsnp6ztDQ8JvA8Zo1Kuj8Nm/eTGlpafALE9dEgm4OmqbxyCOPcNNNN6njqbBLJTXwnJZ3W+j8unO2UwRN+oZ0Vt+1OnDcQgu9qCtOr9fLsWPHOH/+fKjKE2LJ6euro77+CExN31m1SnVZ+m3atIlbbrklNMWJayJBdwWapvHAAw+wYcOGwGNrWUs603NkWj9s5cIXF2b69KBadccq0jdM19VEE/2oe4kej4c333yTCxdCX6cQi93AwFlqaw/h86ml9tLS4OJxJo888gi33357iKoT10qC7ipomsa9997LXXfdFXgsgwxWM30F1fZpG22ftYV0GS5N01hz7xpSb56+4jzLWQZQo0TdbjeHDx+mszP0V6BCLFZDQy3U1LyGz6d2CklJUSMs/e6//37uvvvuEFUnrocE3VXSNI0777yTjRs3Bh5bzWoymL43duHzC5z/+HzIwy7z/kySS9S9RB8+GmlkEDX/z+VycfjwYXp6ekJWoxCL1fDwec6ceQWvV210nJSk5spNrc/APffcw3333RfCCsX1kKC7Rhs2bOCBBx4IHKeTzlqmRz12nurk3PvnQh52WQ9nkVQ0NUp0KuyGGQbA4XDwxhtv0NfXF7IahVhsRkcvcObMS3i9LkAt6VVQMB1yt99+Ow899FBgVSKxdEjQXYebb76ZRx55JHCcSirZTM9n6z7dTcvbLfi8oQ277EezSVin5v958VJPPSOoNTttNhsVFRUMDoZ+pRchQm1srIuqqhfxeJyAWpy5sHA65G655RYee+wxCbklSoLuOpWUlPDYY4+h0+nQ6XSk6lJZp1uHQWdAr9PTX9tPy+9a0LwauhD9p9fpyduUR2JuInqdHk2ncVZ3lgndBDqdDofDwaFDhxgaGgr1X6cQITMx0UtV1UHcbjsAsbFqux3d1KtjaWkpmzdvlpBbwiTobkBRURGbN2/GaDSi1+tJ0aeQr8/HpDdh1BsZOTvCubfOoXk09CH6z6g3kv/9fBKyEjDqjej0Opr1zdj1dvR6PXa7nTfffJPR0dFQ/3UKEXSTk/2cPr0fl0ttshwdfWnIFRUVsWXLFgm5Jc4Q6gKWutzcXDweD2+88QYejwc9euKIo446vHjpPtVNz2gPhTsL0RlC9L7CAInfT6TnlR6GW4cBtetBKaVYsTI8PMz+/ft5/vnniYyMDE2NQgSZzTZEZeUBXK4JACIj1e7gerW/Mfn5+Wzfvh2dTq4Hljr5F5wH+fn57Nq1C51Oh9frJc4bR4G3AJ/Xh8frobe+l8pXKnG5XHhD9J9m1Ch8qpCIVRF4vB7sXjvfer9l3DuO1+tlYGCA/fv3MzExEeq/TiEWnN0+QmXlfhwO1ZMREQGlpWCYeuufk5PDzp070ftTTyxpEnTzJCcnh2effRaTyQRAHHGUUIIe9Ysy1DzEmZfO4HF6Qlaj3qRn/bPriUxXV21OnFRSiQ0bAP39/Rw4cACbzRayGoVYaA7HGJWV+7HbhwGwWi8NubVr17Jr1y4MBunwWi4k6ObR2rVree655zCbzQDEEHNJ2A23DlN5sBK33R2yGg1mAyXPlRCREgGAAweVVGJH3Yjv6enh4MGD2O32kNUoxEJxOieorDyAzaZGG4eFqZAzGlX7mjVrePrppzH6HxDLggTdPFuzZg179uwhLCwMgGiiKaMMw9Tt0NH2USoPVOKadIWsRmOYkZLdJYQnhgNgx04llThwANDZ2clLL72E0+kMWY1CzDeXy0Zl5QEmJ9X8UYsFyspgqhOG9PT0S3plxPIhQbcA0tPT2bt3L+HhKkgiiaSMMoyod4ljnWOc3n8a50TogsRkNVG2t4yweBXINmxUUokTVVN7ezsvv/wyLlfoAlmI+eJ226mqOsjEhFoRyGxWITfV+UJKSsolvTFieZGgWyApKSns27ePiAjVRRhBBGWUYUK9W5zomeD0r0/jGHOErEZThAo7S6wFgEkmqaKKiNgICgoKGBoa4tVXX8XtDl1XqxA3yuNxUlX1EmNjao1Xk0l1V1rUjz2JiYns3r070Asjlh8JugWUmJjIvn37iI6OBsCKlZu4CTPqXeNk/ySnf30a+0jo7oeZo8yU7S3DHKVqCosKI3pdNKnpqeTl5dHb20tFRQUeT+gG0QhxvTweF2fOvMzoaDug7sWVlsJUZwtxcXHs2bMHq9UawirFQpOgW2Dx8fHs27eP2NhYAMII4yZuwoJ6O2kbtHH616exDYZupKMlxkLp3lJMESbCTGHoTXrqR+vRG/WsW7eO5uZm3njjDbxeb8hqFOJaeb1uqqtfZXi4FVCjKktL1ShLgJiYGPbu3StzR1cACbogiImJYd++fcTHxwNgwcJN3EQ4U4NBhu18++tvmeyfDFmN4fHhlO4tpWuyi6/PfY3epKeyrZKxiTF8Ph+1tbW8+eabEnZiSfB6PdTUVDA01AyoSeAlJWq+HEBUVBR79+4N9LaI5U2CLkiioqLYt28fSUlqRwEzZsoow4p6e+kcc/Ltr79lvGc8ZDVaE62U7imloa+Br1u/ZtAyyG+afoPLowakVFVVcfz48ZDuzCDElfh8XurqDjMw0ABMh1xUlGqPiIhg7969gV4WsfxJ0AVRREQEzz//PCkpKQCYMFFGGRGot5muCRenXzjNWNdY6GpMiaBkdwkNfQ180fQFXa4uaqnFhwq3b775hpMnT0rYiUXJ5/NRX3+Uvr4aQK1ZWVys1rAECA8PZ8+ePYHeFbEySNAFWXh4OHv37mXVqlUAGDFSRhlRqLebbpubyv2VjF4I3SLLUelRlDxbgs6ofjz66b8k7L788kveffddCTuxqPh8Phobj9PTUwmoLXaKi9VuBAAWi4U9e/YEelXEyiFBFwJhYWHs3r2bNWvWAGDAQAklRKPedrrtbioPVDJ8fjhkNUaviWb9M+sDC1H30Uc99YGw++yzz/jwww9DVp8QF/P5fDQ1vUVX19eACrmiIrWvHIDZbGb37t2B3hSxskjQhYjZbOa5554jKysLmA67WNTbT4/TQ9WLVQw2h25j1Ni1sRQ/VYymV1uU9NBDI42BsPvoo4/49NNPQ1afEKBCrqXlXTo6vgBUyBUUqB3CAYxGI88++yzp6ekhrFKEkgRdCJlMJp5++mlyc3MB0KNnPeuJR90/8Lq8VL9SzUDjQMhqjMuJo6i8CE2nwq6LLppoCrS/++67fP7556EqTwhaWz+kvf2zwPG6deDvnTQYDDz99NOB3hOxMknQhZjRaOSpp56ioKAAAB06iigiAfV21Ov2Uv1aNX11fSGrMSE/gYIdBTC192QHHTTTHGh/6623OHXqVIiqEytZW9unnD//UeA4Lw/8vZN6vZ5du3YFek3EyiVBtwjo9Xp27txJcXExMB12Sai3pT6Pj9qKWnrO9ISsxqSiJPK35gfCrp12WmkNtB8/fpzTp0+HpDaxMl248DktLe8GjnNyIC1NfazT6di5c2egt0SsbBJ0i4Rer2f79u2UlZUBoKFRQAEpqLenPq+PusN1dH3bFbIaU0pTyNucFzhupZU22gLHR48epbq6OhSliRWms/MUTU1vBY6zsmBqIDOaprF9+/ZAL4kQEnSLiE6nY8uWLdx6662ACrt1rCONqbepPmg42kDHVx0hqzHtljRyNuUEjlto4QIXADUo4PDhw9TV1YWqPLECdHefprHxeOA4MxMuvgW3ZcuWQO+IECBBt+homsbjjz/OHXfcoY7RyCOPVawKPOfsibO0/6E9VCWy6vZVZD08fd+jiSY6USvDe71eDh06xNmzZ0NVnljGenurqa8/Gjhes0YFnd/mzZsDvSJC+EnQLUKapvG9732Pe++9N/BYDjlkkBE4bv5dM+c/Ph+K8gBYc88aMu/PDBw30kg33QB4PB5ee+01WlpaQlSdWI76++upqzsMU9NbVq1SXZZ+jz32WKA3RIiLSdAtUpqm8dBDD/Hggw8GHls79Z/fuffPce79cyFboSTjvgxW3706cNxAA730AuB2u3nllVc4fz50YSyWj4GBs9TUVODzqUXFU1PV4BO/hx9+ONALIsR3SdAtchs3buTRRx8NHGeQQTbZgePzH5+n+e3mkISdpmlkPZxF+u1qIq4PH3XU0U8/AC6Xi5dffpmOjtDdUxRL39BQCzU1r+HzqT0Rk5PVNAK/++67j3vuuSdE1YmlQIJuCbjrrrv4/ve/HzhezWpymR42feEPFzj727MhC7ucx3JIvSUVUGFXQw0DqEnuDoeDgwcP0tUVutGiYukaHj7PmTOv4PWqXe4TEyE/X61+AnD33Xdz//33h65AsSRI0C0Rt912Gz/4wQ/Qpn7D00lnHesC7Z1fddLwmwZ83tCEXd7mPJJLk4HpsBtiCAC73c7Bgwfp7e0Nem1i6Rod7eDMmZfxetU2UQkJUFg4HXK33347Dz/8cOB3QojZSNAtITfffDPbtm0L/GKnkkoBBWhTs7i7v+2m7khdyMIuf0s+iUWJAHjxUk01I4wAMDk5yYEDBxgYCN1yZmLpGBvroqrqIB6PA1CLM18ccjfffDOPPfaYhJy4KhJ0S0xJSQnl5eXodOqfLplkCikMhF3vmV5qKmrweoK/E7im0yjYXkBCvlq+zIOHKqoYRW05ND4+zv79+xkaGgp6bWLpmJjoparqIG63HYCYGLUTwdSPPCUlJWzevFlCTlw1CbolqLCwkF27dqHX6wFIJJFiitFN/XP21/VT81oNXnfww06n11G4s5C4HLU/ij/sxlE7p4+OjrJ//35GRkaCXptY/CYnB6isPIDLNQmoDVPXr1e7hAMUFRWxdevWwBs9Ia6G/LQsUevWreOZZ57BaDQCEE/8JWE30DjAmVfO4HF5gl6bzqCjaFcRMWtjAHDjppJKJpgAYHh4mP379zM2Frqd1MXiY7MNUVm5H6dTvSmKjLw05NatW8f27dsl5MQ1k5+YJSw7O5tnn30Wk8kEQBxxlFCCHvXKMNQ8RNWLVbgd7qDXpjfqWf/0eqLXqM1kXbiopJJJ1Dv1wcFBDhw4wMTERNBrE4uP3T5CZeV+HA7VzR0RASUlYDCo9pycHMrLywO9GEJcCwm6JS4zM5Pdu3djNpsBiCGGEkowoF4hRs6PUHWwCrc9BGFn0rP+mfVEpkUC4MRJJZXYUfde+vr6OHjwIDabLei1icXD4RijsvIAdvswAOHhUFoKU50VZGZmsmvXLgz+1BPiGknQLQOrV69m7969hIWFARBNNKWUBsJu9MIop/efxjXpCnptBouBkt0lRKREAODAwWlO40CNpuvu7ubFF1/EbrcHvTYRek7nBJWVB7DZ1GjcsDAoK5sOudWrV1/SRS/E9ZCgWybS0tJ4/vnnsVqtAEQSSRllGFEvEONd45x+4TTOcWfQazOGGSnZXUJ4YjgAduyc5jROVC0dHR28/PLLOJ3Br02Ejstlo6rqIJOTalNhi0VdyU31xJOWlnZJ17wQ10uCbhlJTk7m+eefJzJSdRVGEMFN3IQJ9UIx0TvB6RdO4xh1BL02k9VE6Z5SwuLUVacNG5VU4kJdZba1tfHKK6/gcgX/qlMEn9ttp6rqRcbH1ULgZrMKOYtFtScnJ7N7924s/geEuAESdMtMYmIi+/btIzpaDQIJJ5ybuAkz6h7eZP8k3/76W+zDwe8qNEeaKd1biiVGvXhNMHFJ2J07d47XXnsNtzv49xNF8Hg8Ts6ceZmxMbUGqsmkQm6q553ExET27NkT6IoX4kZJ0C1DcXFx7Nu3j9jYWADCCOMmbiIM9cJhH7Lz7a+/xTYY/EEglmgLpXtLMUep4B1nnCqqcKPCrampiUOHDuHxBH9ahFh4Ho+LM2deYWRE7UxvNKqQC1e92sTFxbFnz55AF7wQ80GCbpmKiYlh3759JCSoVUosWCijjHDUK4pjxMG3v/6Wib7gD+8Piw2jdG8ppgjVpTrGGGc4gwcVbvX19Rw+fBivd2EmvGuahl6vQ6/XodMhf4L0B9zU17/O2Nh59HodZrOOsjIdkZE6dDodcXFx7N27N9D1LsR80Xyh2sxMBMX4+DgHDhwILKjsH+Lvn7xttBop3VNKRHJE0Gvz3zP0jwb1T43wT3ovLS1l69at87LUU2dnJ7/85S/RNI3JySguXFDzsbKzHyUhIf+Gzy/m5vV6aGo6ydCQ2oxXr1e7EERM/dhFRESwfft2YmJiQlekWLbkim6Zi4iI4Pnnnyc1VW2jY8JEGWVEot41uyZcnH7hNGOdwV+lxJpkpWR3CQaLmgYxzDDVVONFXclVVlZy/Pjxed1+SNM0DAY9Xq8Pl8uD2+3F40H+LOAft9tLQ8Nb9PaexeXy4PV6yM72EBbmwePxYDab2bp1q4ScWDASdCtAeHg4e/fuZdWqVQAYMVJKKVFEAeC2uTm9/zQj7cFffzIyNZKS50rQm9UV1iCD1FKLDxVuX3/9NW+99da877Xn8XjxeLx4vcifBfzj8fhobPwdvb31eDxefD4vOTleIiK8eL1ezGYzO3bsIC4ubl7/fYW4mATdCmGxWNi9ezcZGRkAGDBQSikxxADgcXioOljFcOtw0GuLWhXF+mfWozNOLUpNP3XUBcLuiy++4L333gvJxrLi+vl8Plpa3qWvrxZQW+zk5andCIBAyPnvIwuxUCToVhCz2cxzzz1HVlYWAHr0rGc9sajRmR6nh6oXqxhsHgx6bTEZMax/ej06g/qR7KWXeuoDYffpp5/y0UcfBb0ucX18Ph+trR/S01MFqJBbt07tKwdgNBrZvn07ycnJIaxSrBQSdCuM0WjkmWeeIS8vD5gOu3jiAfC6vZx5+Qz9Df1Bry02K5aiXUVoejX4pIceznI20P7hhx/y6aefBr0ucW18Ph9tbZ/Q1fVN4LHc3OmQMxgMbN++nbS0tBBVKFYaCboVyGAwsGvXLgoLCwHQoaOIIhJRu4P7PD5qXquhr7Yv6LXF58ZTuLMQTafCrpNOmmgKtL/77rt8/vnnQa9LXL0LF/5AR8dXgeOcHPD3Tur1erZu3Rq4XyxEMEjQrVB6vZ6dO3eyfv16QIVdIYUko7qSfF4fNRU19FT1BL22xIJECrYXMLVpOhe4QAstgfa33nqLr7/+Ouh1iSvr6PiK9vY/BI6zsiApSX2s0+l44oknAveJhQgWCboVTKfTsW3bNm666SYANDTyyScVNRUBH9QdqaPrm66g15ZUnET+lun5bW200Upr4Pj48eNUVlYGvS4xu87Obzh//uPAcWYmpKSojzVNY/PmzWRnZ4emOLGiSdCtcDqdjh/84Ads2LABUGGXRx5pTN0/8UHDbxro+LIj6LWllKWQtzkvcNxKK22opaN8Ph9vvvkm1dXVQa9LXK67u4rW1g8Cx2vWwMW34DZt2kRubm4IKhNCgk6g3m1///vf584771THU2G3mtWB55z97Vnaf98e9NrSbk0j57GcwHELLVzgAqDC7vDhw9TX1we9LjGtt7eGlpZ3AserVqk/ft/73vcoKCgIQWVCKBJ0AlBh9+ijj7Jx48bAY9lkk8H0/ZTmt5tp/ag16PPZVt2xirUPrQ0cN9FEJ50AeL1eKioqaGpqmu3TxQLq72+gqemtwHFamrqa83vooYcoLi4OQWVCTJOgEwGapvHggw/y4IMPBh5bO/WfX+sHrZx7/1zQwy7j3gwy7psO3UYa6UENlPF4PLz66qucO3cuqDWtdIODTZw9eyJwnJKi7sv53XfffZSVlQW9LiG+S4JOXGbjxo1873vfCxxnkEE204MI2j5po/l3zUEPu8z7M1l993R3aj319KIWq3a73bz88su0tbUFtaaVamjoHA0NxwI/A8nJsHb6/RD33HMPt956a4iqE+JSEnRiRnfeeSePP/544Hg1q8llejDBhc8vcPbE2aCGnaZpZD2cRfrt6QD48FFHHf2oye0ul4uXXnqJjo7gD5xZSYaH22hoOIrPpxbfTkxU0wj8m0zcfvvt3H777SGsUIhLSdCJWW3YsIEtW7YEtslJJ511rAu0d57qpOFoAz5vcMMu57EcUm9WUyB8+KillkHUsmUOh4ODBw/S3d0dtJpWktHRDurrj+D1qr0D4+PVhHB/yN16663cfffdIaxQiMtJ0Ik53XTTTWzfvh2d2jmTVFIpoABtajZ39+lu6g7X4fUszCapM9E0jbzNeSSXqMntXrxUU80QQwDY7fZL9uAT82NsrIu6usN4vWo3+NhYtbSXP+TKysrYuHHjvOwfKMR8kqATV7R+/Xp27tyJXq+20kkmmUIKA2HXW91L7aFavO4ghp1OI39rPolFatkyf9iNoLYampyc5MCBAwwMDAStpuVsYqKXurrDeDxOAKKj1SLNU+9/KC4u5sEHH5SQE4uSBJ24KoWFhezatSsQdokkUkxxYDfw/rp+ql+rDnrYFWwvIH6dWpDag4cqqhhDbSI7Pj7O/v37GRoaClpNy9Hk5AC1tYdwu+0AREWp3cH9IVdQUMAjjzwiIScWLQk6cdXy8vJ45plnMBqNAMQTz3rWB8Ju8OwgZ14+g8fpCVpNOr2OovIiYrOnthrCQyWVjDMOwOjoKAcOHGBsLPg7qC8HNtsgNTWv43LZAIiMhIICmHq/Q25uLo899liga1uIxUh+OsU1yc7O5rnnnsNkMgEQSywllKBHvfINtQxR9VIVboc7aDXpDDqKnyomJjMGADduKqlkgglV09AQFRUVOJ3OoNW0HNjtI9TUHMLlmgQgIuLSkMvOzubxxx+XkBOLnvyEimuWkZHBnj17sFgsAMQQQymlGDAAMHJ+hMoDlbhsrqDVpDfqWf/MeqJWRwHgwkUlldhQVyJDQ0NUVlbicgWvpqXM4RijpqYCp1NdCYeHq5AzqH9iMjIy2Lx5c6ArW4jFTIJOXJdVq1axd+9ewsLCAIgiilJKMaK6Ncc6xqjcX4lrMohhZ9JT8mwJkWmRADhxcprT2FH3liYmJqiqqsLjCd7V5lLkdE5QU1OBw6EG9oSFQWEhTPVYs2rVKrZs2YLBn3pCLHISdOK6paam8vzzz2O1WgGIJJIyyjChujXHu8c5/cJpnOPB6zI0WAyU7C7BmqxqcuDgNKdx4FA1jY/T2tqG1xu8QTNLictlo7a2ArtdDeCxWFTITfVUk5aWxtatWwP3aYVYCiToxA1JTk5m3759REaqqygrVsoow4wZgIneCb799bc4Rh1Bq8kYZqR0TynhieEA2LFTSy0e1CAZm81Gf3+fhN13+ENuclJNyTCbVciZ1T8lSUlJbNu2DbP/ASGWCAk6ccMSEhLYt28f0dHRAIQTThllWFD38GwDNr799bfYh+1Bq8lkNVG6p5SwONW1asNGN92BsHM4nAwM9OPxBG+E6GLmdjuoqzvMxEQfoK7gCgvVFR2of+OdO3cG7ssKsZRI0Il5ERcXxx/90R8RFxcHQBhhlFFGGCpo7EN2vv3Xb5kcmAxaTeZIM6V7S7HEqBdnFy566cWHupKz2x2cP39+xV/ZeTxO6usPMz6ulk0zGqGoSN2bA/Vvu3PnzsD9WCGWGgk6MW+io6PZt28fCQkJAFiwUEYZ4aguRMeog9O/Ps1E30TQarJEWyjdU4rRqu4pOXEyzAg+1Pqco6NjNDY2rtiw83hc1NcfZXRU7e/33ZCLjo5m586dgfuwQixFEnRiXkVGRrJv3z6Sk9U6lGbMlFGGFfVC6Rx3cvrXpxnvHg9aTWFxYRQ/WYzOqH7c3biwMRkIu8HBQZqamoK+7VCoeb0eGhqOMTKitjYyGNQUgnD1voTIyEjKy8sD91+FWKok6MS8s1qt7N27l7S0NABMmCijjEjUC6Zr0sXp/acZ7RgNWk1hcWGklKagM6gfeQ+eS8Kuv7+f5ubg77EXKl6vh8bG4wwPq81q9XoVchERqt1qtVJeXh647yrEUqb5Vspvtgg6u93OSy+9RHt7O6BWLKmiilFUwOnNat5b9JqFfzEd6xzj619+jXvCja85iZGuONweD9FxG0i3lgYWqE5OTiYrK2vJrdvoctkYGjrP5OQQTucELpcNvd6I0RhGeHg8UVGpWK1qTVCfz8vZs7+lv78BUGtWFhSohZoBwsLCeOqppwL3W4VY6iToxIJyOBy88sortLa2AupK6gxnGGYYUJO8i58uJnZt7ILW4Q86vU6PZSiD81/ocLs9hMWVEGXNJp74QNilpqaSmZm5aMPO43HT0vIxLS0fcf7853R1VTI21nPFz7NYokhKKiQyMhGrNZrExFzCwqzk50NMjP85Fp588kkSExMX9psQIogk6MSCc7lcvPrqqzQ3NwMq7GqoCWyW6l+rMi5n4a4gLg66CEcO3dVmRrrHCIstwWhNI5xw4ogLhF16ejpr1qxZVGHX2VnJZ5/9A2fOHAnMdbsRmqZj9eq13HbbTdx0001ERUWxc+dOUlJS5qFaIRYPCToRFG63m4qKChoaVHeZFy811DCAesHW9BpF5UUk5CcsyNf/btD1nrXimHCALxdDmNqt3IqVWGIDYbd69WpWr169IPVciwsXvua3v/1vNDa+s2Bfw2KxsHfvXn72s58FBhIJsVzIYBQRFAaDgSeffJLCwkIAdOgooohEVBeZz+Oj5vUaemuCtyu4wWIkOjOaqVxjgolAlypAe3s7HR0dQavnu+z2MQ4d+rf8/d/ftqAhp76WnV/84hesXbuWn/70p9hstgX9ekIEkwSdCBq9Xs/OnTspKSkBVNgVUkgy6grC5/VRe6iW7sruoNVkjrIQnxcfCLtxxi8Ju/Pnz9PZ2Rm0evw6Oyv5+c9v4fPPf4nPF7w5fjabjZ/97GeUl5cH7WsKsdBk+XERVDqdjq1bt2IwGPjmm2/Q0MgnHx06uugCH9S/WY/X7SXtlrSg1BQeH44vx8fgWXXPcIwxNDSiUcMQW1tb0el0Qbt3VVd3kgMHdgQ2O51LWFgMubkPk5l5NykpRcTFrcVqTcBoDEfTNFpbP6K5+V3Gx/sZG+thcvIcnZ0tV7xiGx8P3jxHIRaaBJ0IOp1OxxNPPIHBYODLL79EQyOPPHTo6KADfNB4rBGv28uq21cFpSZrohWf18dQs1q1f5RRNDSiUPvbtbS0oNfrF3w04pkzR3jxxafweObe8SErayMbN/6I/PxNGAymGZ/T1fUtPT2VREQkEhGRyB13FJCWdj8ej4f6+nra29t5//33V+yqMGLlkK5LERKaprFp0ybuuusudYxGLrmsZnrwR9PJJto+awtaTRHJEcSsjQkcjzDCGGOB47Nnz9Lf379gX7+19Q+89NIzc4ZcQkIOf/Inb/Nnf/YRxcVbZg25np4znDv3fuB4zRqYmr+PXq/nxz/+Me+88w41NTU8/fTT8/p9CLHYSNCJkNE0jUceeYT77rsv8Fg22WSQEThueaeF1g9bg7ZiSWRqJDGZMYHjYYYvC7vBwcF5/7ojIx288MJW3O7Zd3goLX2SH/2okry8R+Y8V19fLc3NbweOV61Sf/weffRRCgoKAMjPz+fll1/m448/DgwUEmK5kaATIaVpGg888AAPPfRQ4LG1U//5tX7Yyrn3zgUv7NIiL1mtZZhhxlH3rHw+Hw0NDQwNDc3r13z99R8yPj77iNN77vmP7N79GiZT+JznGRho5OzZk4HjtDR1Nef34IMPsn79+ss+79577+XUqVP8yZ/8ybUXL8QiJ0EnFoV7772Xxx57LHCcQQY55ASO2z5to+mt4C28HLUqiqhVUYHjIYaYQO264A+7kZGReflaX331Ag0Nb83afsstu9m69e+veJ7BwSYaG48HjlNSIDNzun3jxo3cdNNNs35+WFgYv/jFL/jlL38pO4iLZUWCTiwad9xxB48//njgeBWryCMvcNzxRQdnT5wNXtitjiIybXrl/kEGmUTtp+f1eqmvr2d09MYWpna57Lz11l/M2p6SUszOnb+44nmGhlppaDgW+LtJToa10xfF3H333WzYsOGqavrjP/5j/vmf//mqnivEUiBBJxaVDRs2sHXr1sDSW2mkkU9+oL3zVCcNRxvweRc+7DRNIzojmoiUiMBjAwxgQw3N93g81NXV3dBQ/N///h8ZGZl5UrqmaZSX/zNG49wbno6MtNPQcDQw3y4xEbKywL962W233cYdd9xxTXVlXnwpKMQSJ0EnFp2ysjJ27NiBTqd+PFNIoZDCwNJc3ae7qTtch9ez8MPiNU0jZm0M1uTpjUcHGMCOGjTi8Xiora1lYuLaN5P1+Xx89tk/zNpeVvY0GRlzB9ToaAf19Ufwet0AxMdDTs50yN1yyy3cc88911ybEMuJBJ1YlIqLiykvL0ev1wOQRNIlYddb3UttRS1ed3DCLjYrlvAENRDEh49++nHgANQ6nrW1tUxOTl7TeRsb32Fw8Nys7Q8++JM5P398vJu6usN4PC4AYmMhN3c65EpLS7nvvvsW1cLUQoSCBJ1YtAoKCnjqqacwGNS6BokkUkwxuqkf2/76fqpfrcbj8ix4LZqmEZcbR1i86kb04aOPvkDYuVwuampqrmmNyG+/fWXWtszMu0lNvXx0pN/ERB+1tW8E5txFR8O6dWpvOVBvFB566CEJOSGQoBOLXG5uLs8880xgFGA88axnfSDsBpsGOfPyGTzO4IRdfG48llgLMH1l50SFjT/s7PbZ58L5qZGbJ2dtv+mm2SdxT04OUFtbEZhzFxUF+fnTIZefn88jjzwiISfEFAk6sehlZWXx3HPPYTabAYglllJK0aO6NYfPDVP1YhVuh3vBa9F0GgnrErBEq1q8eOmjDxeq+9DpdFJTU4PD4ZjzPJ2dp+fcLDU///szPm6zDVFTUxFYBzMyUu0OPtXDS05ODps2bQrc3xRCSNCJJSIjI4Pdu3djsairqWiiKaUUw9RyrSNtI1QeqMRlcy14LZpOIz4/AXPUdNj10osbFbQOh4Pa2lqcztmX8mpr+3LWtpiYNcTHr73scbt9ZCrk1MCXiIhLQy4rK4vNmzdLyAnxHfIbIZaMVatWsXfvXsLD1aCQKKIoowwjqltzrGOMyv2VOCfmXhB5Puj0OhLyEzBHzhx2NpuN2tpaXK6Zg7ej45tZz7169eXz3RyOMWpqKnA61XJk4eEq5KZuX7JmzRqeeOKJwOAdIcQ0CTqxpKSmpvL8888TEaHmtkUQQRllmFCLG493j3P6hdM4xubuOpwPOoOOhIIETFb1tT14Lgm7yclJGhrqZ9wdoKenbtbzJidfuuak0zlBbe0hHA61EktYGBQWgn/xkvT0dLZs2RIYtCOEuJQEnVhykpKSeP7554mKUkt0WbFSRhlm1NXVZN8kp184jX3kyoNCbpTOoCOhMAFjuEodDx766AuE3ejoGOfPn7/s84aH22c9Z3x8duBjl8tGbW0FNptaSNpiUSFnmtq0IDU1lW3btmEyzbyLgRBCgk4sUQkJCezbt4+YmBgAwgmnjDIsqHt4tgEbp399GtvQ1Q/3v156o57EwkSMYSrs3LgZYAAfavWWrq4uBgYGAs/3+XyMjs6+a3lUlNrg1e22U1t7iMlJ9bkmkwq5qTE5JCUlsX379sAgHSHEzCToxJIVGxvLvn37iIuLAyCMMMooIww1180+bOf0r08zOXBtE7mvh96kJ6EwAYNZdR86cTLMcKD93LlzgS5Mp3Nyzj3nrNZE3G4HdXWHmZhQOxoYjVBUpK7oAOLj49m5c2dgcI4QYnYSdGJJi46OZt++fYGdvy1YuImbCEcNWHGMOlTY9S982BnMBhLyE9B0av7aOOOBdTGdTmdgax+3e+6rTJ3OQH39EcbGugAVcsXF6t4cqIAvLy8nLGzuNTCFEIoEnVjyIiMjef7550lOTgbAhIkyyohADVhxjjupeb0G5/jCj8Y0Wo2X7FI+ftGmrV1dKrhcrrnvHba1fczoqFro2WBQ3ZX+TIuOjqa8vByr1TrHGYQQF5OgE8uC1Wrl+eefJy0tDVBhV0opkahtdlw2F92nu3GMXv9oTJ/Xw2DzV7R99iqdXx3DPtQ9cy1JVgwW1YVpx3HRwJRRbDYbmjb3r913Q86faZGRkZSXlxMZGTnHZwshvkuCTiwbYWFh7Nmzh9WrVwNgxEgppUSjdgv3ur30VPXgmrz2KzvX5AjVr/x3Gt78n3R8fojzH+/n21//R7q+PnHZczVNu2RrH/+GraCmHBiNc99X83rd6PVqWa+pWRRYrVbKy8uJjo6e83OFEJeToBPLisViYffu3ayd2nXUgIESSohCTUXweXyMtI7gsV/bCirNb/8T491Nlz7o89L64QuMtFVf9vyw2On7Z/4rOgC73Y7RGD7n1/J6neTnqzUsQQV4eXk5sbGx11SzEEKRoBPLjslk4plnniEnJwcAPXoKKQyMxvR5fUz223Bf5XJhjtE+hppPzdLqo6fq7cse1ZunVyi5POgsmM0Rl32OX3z8GP4LN4vFws6dO4mPj7+qWoUQl5OgE8uS0WjkqaeeIj9f7U6uQ0cSSWo0puYDH0z2T2IfvvJoTMdo39ztI72XPabpNHRG9evlYXpnBf+SYNHRq2Y9n8+nBrCYTCZ27NhBUlLSFWsUQsxOgk4sWwaDgfLycoqKijCbzWhoJJBAuH56qazB5q4rTj0wRyXO3R59eRD5vD68LjVvzr/LAhDYbigmJmPW8/X29mI0Gtm+fTspKSlzfm0hxJVJ0IllTa/Xs2PHDm699VZ0Oh0aGvEGK4aphaB9LhsDjQNM9E7Meg5zVCKx2bfO0qqRXPLoZY96HNNXcf4dFoDABO+IiNnvt/X09LBt2zbS09Pn+taEEFdJgk4sezqdjm3btpGXlweAXu8hDAtGTHg96mpusGmQ8e7xWc+R/ei/IyIl59IHNR2Z9z9P9Jriy55/8dJj3w26Cxc+n3OXgc7OzsA0CSHEjZPlzsWKoGka9957L5OTk3g8HhV2njDsTjs+jxNNb2KoZQif10dk2uXz1Izh0RQ//VcMnfuGie4W9OZw4rI3YIm9vGvR5/NdEppWpid3j4420NX1B+LjZ++6HBsb45tvvmHDhsu36xFCXDsJOrFipKWlkZ2dzdjYGH19IzidViw+M4bJIdyRalWV4dZh8EFk+uVhp+n0xGVvIC577gCa6J3AbVcjLS2YA1d0Pl83XV3nAAgPjyM+PpmBgZl3GT9y5IgEnRDzRLouxYpRWlqKpmmsXr2avLxomNpdgPEeonzTwTZ8fpiRthF8Pt81fw3XhIvhc8OB44iplVnGx89hs9UEHl+9GkpLi2Y9z6uvvnpdX18IcTkJOrFixMXFkZ2djaZpZGens2qVmsvmdk+gG+8nhpjAc0cvjDLYNIjXc/mmqbNxjDroq+3D51UBFUEEYYQxMXGesbFvAoswp6eroLvllltmPde5c+c4evTodXyXQojvkqATK8qtt06PniwqigvsZzcychqz03VJ2E32TdJ7phfHiGPOqyuv28vohVF6a3rxuNRoSxMmYohhcrKdwcEviY6OQdM0UlMhY+r2XHJyMjfddNOs5/3Lv/zLGXcnF0JcG80n/SNiBfF6vRw4cIChoSG8Xi/nzsHZs+MMDQ1hMFhJSnoEh97NIIOBjVMBjOFGwhPCMYQZMJgNeN1e3A43znEnk32Tgas4UPfl4ojHaethYOD3RESEExMTS3IyZE9vHs7GjRvp7e1l8+bNs9b7i1/8gj/5kz9ZkL8LIVYKCTqx4rS0tHD06FG8Xi9eL9TUQHf3BIODgxiNkcTH341mDKefflxc25qYUUQR6YtkYryR4eEzmM1GEhOTSE7WyM4GTW1Vx1133cWdd94JwD333MNnn3024/kiIyM5depUYGpEMHi9XioqKti1a1fQvqYQC0mCTqxIn3zyCV9++SUADgdUVcHoqI3BwUF8Po24uA2Eha9mkkkmmMDB7Nv7aGhYsRJBBHovDA5+ic3WgcViIT4+nqQkHbm50yG3YcMG7r33XrSpB06dOsUdd9yBx+OZ8fyFhYV8/PHHQVnvcnx8nGeffZaRkRE+/PDDBf96QgSD3KMTK9Ldd9/NqlVqvUmzWe3gHR8fRnJyEkajjoGBz+nv+xidbZhEXwIppBBHHNFEY8VKJJHEEEMCCaSRRqTbjG20ke7uk9hsHURHR5GYmMCaNZeG3M0333xJyIG6b/hf/+t/nbXW2tpaHn30UXp7L19Tcz6dOnWKm266id/85jcL+nWECDa5ohMr1sTEBC+++CLj42pyt8cD585BT4+PsbFRxsbG8Xq96PVhhIevxmCIxGCwYjBY8XpduN3jeDyTOBwD2GydgA+z2UR0dDQRERZycuDinXVKSkp4+OGHLwk5P6fTycMPP8wnn3wya72rV6+moqKC22+/fV7/HsbGxvi//+//m7//+78PLDp93333yRWdWDYk6MSKNjIywrFjx+jpmZ643dsLFy6AzeZjcnKSiYlxHI7ZN2vV6XSEh4cRERGByWQiNhYyM8Fy0f6q99xzD7fddtuMIec3MDDA7bffTnNz85xf68/+7M/4i7/4C5KTk6/pe/2usbEx/s//+T/8r//1v+juvnS3dAk6sZxI0IkVz+1288EHH1BVVRV4zOeD4WHo7oahIbWsl8fjxu1243Z70DQNg0GPwWBEp9NhMmkkJ0NysuoK9QsLC2Pz5s2sWbPmqmppbW3l4YcfnjPsQK2Z+fTTT/PMM89w//33YzBc3SJHDoeDTz75hFdeeYVDhw4xOjo64/Mk6MRyIkEnxJSamhref/99nM5Lr96cTpicBLtdDVxxOECvV1dsZrP6f3g46L5zx3vVqlU8/vjjRETMvsnqTLq6uti0aROVlZVX9Xyr1cqGDRsoLi4mMzOThIQEwsPD0TSN8fFxBgYGaGpqoqamhi+//BKHY/aBNX4SdGI5kaAT4iI2m43q6moqKysZGRm5rnNkZ2dTWlpKZmbmnF2VV6rjP/yH/8CvfvWr6/r8G2E0Gvmrv/orfvzjHwf9awuxECTohJiB1+ultbWVqqoqLly4cMWroNjYWHJzcyktLSUqKmre6jh+/Dj/+T//5yt2Zc4HTdPYunUrf/M3f8O6desW/OsJESwSdEJcBZvNxsjICKOjo4yOjmI0GomOjiY6OpqoqKg595e7UQ6Hg1/+8pf8/Oc/p6WlZd7Pb7FY2LVrFz/60Y8oKSmZ9/MLEWoSdEIsEV6vl9/+9re8/vrrHDt2jOHh4es+l8Vi4b777mPHjh3s2LGDuLi4+StUiEVGgk6IJcjtdlNZWcnnn39OZWUlra2tnD9/nsHBQSYnJ7Hb7RgMBsLCwoiPjyc9PZ2srCyKi4vZsGEDd9xxB+aLh4cKsYxJ0AkhhFjWZAkwIYQQy5oEnRBCiGVNgk4IIcSyJkEnhBBiWZOgE0IIsaxJ0AkhhFjWJOiEEEIsaxJ0QgghljUJOiGEEMuaBJ0QQohlTYJOCCHEsiZBJ4QQYlmToBNCCLGsSdAJIYRY1iTohBBCLGsSdEIIIZY1CTohhBDLmgSdEEKIZU2CTgghxLImQSeEEGJZk6ATQgixrP3/AVurRKvutVDpAAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## The TriLoop example\n", + "A,B,C,D = 'A','B','C','D'\n", + "AB,BC,ACD = 'AB','BC','ACD'\n", + "edgedict = {AB:{A,B},BC:{B,C},ACD:{A,C,D}}\n", + "\n", + "h = hnx.Hypergraph(edgedict,name='TriLoop')\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(5,5))\n", + "ax.axis('off')\n", + "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", + "hnx.draw(h,ax=ax,pos=pos,\n", + " node_labels_kwargs={'fontsize':50},\n", + " edges_kwargs={\n", + " 'facecolors': [(1,0,0,.5),(0,1,0,.5),(0,0,1,.5),],\n", + " 'edgecolors': (0,0,0,.5),\n", + " 'linewidths': 4\n", + " },\n", + " edge_labels_kwargs={'fontsize':0},\n", + " node_label_alpha=.1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The Homology Computation for Hypergraphs using Smith Normal Form\n", + "\n", + "We compute homology on the Abstract Simplicial Complex(ASC) associated with the hypergraph. This is uniquely determined by the hypergraph by taking all subedges of the edges in the hypergraph. In terms of the data, the ASC infers all subrelationships that could exist within the edge relationships. The ASC is also a hypergraph but with a lot more edges. Because the ASC can be realized in Euclidean space as a simplicial complex we will often refer to its $k$-dimensional edges as **$k$-cells** (edges of size $k+1$).\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Overview of steps to compute the $kth$ homology group of the ASC:\n", + "\n", + "1. **Compute a basis for each of the Chain groups, $\\{C_i\\}_{i={k-1}}^{k+1}$, associated with the ASC.** For each $i$, $C_i$ is the free abelian group generated by its $i$-cells. Because we are only interested in the presence of data in these cells, we use $\\mathbb{Z}_2$ coefficients so that the elements of $C_i$ may be thought of as sets of $i$-cells in the ASC.\n", + "2. **Compute the $k+1$ and $k$-boundary maps, $\\partial_{k+1} : C_{k+1} \\rightarrow C_{k}$ and $\\partial_k : C_k \\rightarrow C_{k-1}$.** The sequence of all $i$-boundary maps and Chain groups forms a chain complex. The failure of the chain complex to be exact is measured by the dimension of its associated homology groups. \n", + "3. **Find invertible matrices $P_k,Q_k$ and diagonal matrix $S_k$ so that the product $P_k \\partial_{k} Q_k = S_k$ is the Smith Normal Form of $\\partial_{k}$. Do the same for $k+1$.** This representation is the Smith Normal Form of the matrix. Once it is computed, the homology groups can be generated by reading off information from the invertible matrices $P_i,Q_i$.\n", + "4. **Compute the kernel of $\\partial_k$, $Z_k$.** This is the subgroup of $C_k$ generated by its cycles. It is found by taking the last $n$ columns of $Q_k$ where $n$ is the number of zero columns in $S_k$.\n", + "5. **Compute the image and cokernel of $\\partial_{k+1}$, $B_k$.** The image is the subgroup of $Z_k$ generated by boundaries. It is found by taking the first $r$ columns of $P_{k+1}^{-1}$ where $r$ equals the number of nonzero rows in $S_{k+1}$. The cokernel is generated by the remaining columns of $P_{k+1}^{-1}$. The $k$-homology group is:\n", + "$$H_k = \\frac{Z_k}{B_k}.$$\n", + "5. **Compute a basis for the kth Homology group.** ... This is done by projecting, $Z_k$, the kernel of $\\partial_k$ onto, $B_k$, the cokernel of $\\partial_{k+1}$ and removing dependencies. This should be come clearer as we move along. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:13.584345Z", + "start_time": "2024-05-16T16:02:13.553525Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.123372Z", + "iopub.status.busy": "2024-04-03T19:17:14.123294Z", + "iopub.status.idle": "2024-04-03T19:17:14.131053Z", + "shell.execute_reply": "2024-04-03T19:17:14.130710Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.123363Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[('A',), ('B',), ('C',), ('D',)]\n", + "[('A', 'B'), ('A', 'C'), ('A', 'D'), ('B', 'C'), ('C', 'D')]\n", + "[('A', 'C', 'D')]\n" + ] + } + ], + "source": [ + "### 1. Compute a basis for each of the Chain groups, associated with the ASC for TriLoop.\n", + "## These are the $i$-cells of the ASC . \n", + "K = max([len(e) for e in h.edges()])\n", + "Ck = dict()\n", + "edges = list()\n", + "for k in range(K):\n", + " Ck[k] = hnx.kchainbasis(h,k)\n", + " edges.extend(Ck[k])\n", + " print(Ck[k])\n", + "E = Ck[0]+Ck[1]+Ck[2]\n", + "hasc = hnx.Hypergraph(E)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:13.758246Z", + "start_time": "2024-05-16T16:02:13.614654Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.131639Z", + "iopub.status.busy": "2024-04-03T19:17:14.131553Z", + "iopub.status.idle": "2024-04-03T19:17:14.173496Z", + "shell.execute_reply": "2024-04-03T19:17:14.173227Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.131631Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## The ASC associated to TriLoop, all edges are outlined in grey\n", + "\n", + "def drawhasc():\n", + " fig,ax = plt.subplots(1,1,figsize=(5,5))\n", + " ax.axis('off')\n", + " hnx.drawing.draw(hasc,ax=ax,pos=pos,\n", + " node_label_alpha=0,\n", + " edges_kwargs={\n", + " 'facecolors': [(1,1,0,0),(0,1,0,.5),(0,1,0,0),(0,0,1,.5),(1,0,0,0.5),(1,1,1,0)],\n", + "# 'facecolors': [(1,0,0,.5),(0,1,0,.5),(0,0,1,.5),],\n", + " 'edgecolors': (0,0,0,.5),\n", + " 'linewidths': 4\n", + " },\n", + " edge_labels_kwargs={\n", + " 'fontsize': 0\n", + " },node_labels_kwargs={\n", + " 'fontsize': 50,\n", + " 'color':'k',\n", + " })\n", + "drawhasc()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### In general we only need the k-1,k, and k+1 dimensional chains to compute the kth homology group. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compute the k-chain groups\n", + "A **k-chain** is a formal sum of k-cells in the ASC.\n", + "The collection of k-chains is denoted $C_k$. For example, AB,BC+CD, and AB+AC+CD are all 1-chains in $C_1$. \n", + "\n", + "We induce a total order on the k-cells. This ordering is somewhat arbitrary but for convenience we define a total ordering on the 0-chains (the nodes in the hypergraph) and use lexicographic ordering to induce an ordering on all of the k-chains. In our example this is just alphabetical order.\n", + "\n", + "With this ordering we define an isomorphism $\\phi : C_k \\rightarrow \\mathbb{Z}_2^{|C_k|}$. For any chain, $\\sigma \\in C_k$, $\\phi (\\sigma)$ is a tuple of 0's and 1's with a 1 in the ith position of the tuple if the ith element in the $C_k$ ordering is in $\\sigma$. For our example, the 1-chains in $C_1$ are ordered: $[AB,AC,AD,BC,CD]$. Using this ordering we find:\n", + "- $\\phi(AB) = (1,0,0,0,0)$\n", + "- $\\phi(BC+CD) = (0,0,0,1,1)$\n", + "- $\\phi(AC+AD+CD) = (0,1,1,0,1)$\n", + "\n", + "The isomorphism $\\phi$ induces the structure of $\\mathbb{Z}_2^{|C_k|}$ onto $C_k$. In particular, we can think of $C_k$ as a vector space over $\\mathbb{Z}_2$. This means:\n", + "- We can add $k$-chains - vector addition mod $2$ - and get another $k$-chain. This addition is associative and abelian (commutative)\n", + "- We have a $0$-chain, the empty chain has tuple $(0,0,0,0,0)$\n", + "- We have inverses, $\\sigma + \\sigma = 0$ \n", + "- $C_k$ is finitely generated by the $k$-cells in the ASC.\n", + "\n", + "Note that addition in $C_k$ is analogous to the exclusive or (xor) on sets. This is equivalent to addition(mod 2) in $ \\mathbb{Z}_2^{|C_k|}$. For example:\n", + "- $(AB+CD) + AB = CD$ because $(1,0,0,1) + (1,0,0,0) = (0,0,0,1)$\n", + "- $(AB+AC+BC) + (AC+AD) = (AB+AD+BC)$ because $(1,1,0,1,0) + (0,1,1,0,0) = (1,0,1,1,0)$\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compute the Boundary Maps \n", + "A **k-cycle** is a k-chain that contains a sequence of intersecting cells that in some sense 'loop around'. To check if a k-chain is a k-cycle we look at its image under the **boundary map**:\n", + "$\\partial_k : C_k \\rightarrow C_{k-1}$.\n", + "\n", + "The kth-boundary map is completely defined by its behavior on the generators of $C_k$. Let $\\sigma$ be a generator in $C_k$ corresponding to a k-cell in the ASC. Then $\\sigma$ contains a set of $k+1$ nodes in the hypergraph. Let $\\tau$ be the sum of subedges of $\\sigma$ of size k. We see $\\tau$ is a (k-1)-chain in $C_{k-1}$. Define $\\partial_k(\\sigma)$ to be this (k-1)-chain. For example:\n", + "\n", + "1. $\\partial_1(AB) = A+B$ \n", + "2. $\\partial_1(BC) = B+C$\n", + "3. $\\partial_2(ACD) = AC+AD+CD$\n", + "\n", + "We extend $\\partial_k$ to all of $C_k$ linearly. For example:\n", + "\n", + "4. $\\partial_1(AB+BC+CD) = A+B + B+C + C+D = A+D$\n", + "\n", + "From now on we will reference these computations in terms of their corresponding representation in $\\mathbb{Z}_2^{|C_k|}$ and abuse our notation a bit by defining the boundary map on $C_k$ in terms of its equivalent linear map on the vector space $\\mathbb{Z}_2^{|C_k|}$. \n", + "\n", + "Using the ordering: $C_0 = [A,B,C,D]$, $C_1 = [AB,AC,AD,BC,CD]$, and $C_2 = [ACD]$ the above computations become:\n", + "\n", + "1. $\\partial_1((1,0,0,0,0)) = (1,1,0,0)$ \n", + "2. $\\partial_1((0,0,0,1,0))) = (0,1,1,0)$\n", + "3. $\\partial_2((1)) = (0,1,1,0,1)$\n", + "4. $\\partial_1((1,0,0,1,1)) = (1,0,0,1)$\n", + "\n", + "We represent the map $\\partial_k$ as a matrix over $\\mathbb{Z}_2$." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:13.774166Z", + "start_time": "2024-05-16T16:02:13.759520Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.174023Z", + "iopub.status.busy": "2024-04-03T19:17:14.173950Z", + "iopub.status.idle": "2024-04-03T19:17:14.180157Z", + "shell.execute_reply": "2024-04-03T19:17:14.179882Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.174015Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boundary maps:\n", + "bd[2]:Ck[2] -> Ck[1]\n", + "\n", + " (A, C, D)\n", + "(A, B) 0\n", + "(A, C) 1\n", + "(A, D) 1\n", + "(B, C) 0\n", + "(C, D) 1\n", + "\n", + "Corresponding linear map between vector spaces bd[2]:Ck[2] -> Ck[1] given as a matrix\n", + "\n", + "[[0]\n", + " [1]\n", + " [1]\n", + " [0]\n", + " [1]]\n", + "\n", + "Boundary maps:\n", + "bd[1]:Ck[1] -> Ck[0]\n", + "\n", + " (A, B) (A, C) (A, D) (B, C) (C, D)\n", + "(A,) 1 1 1 0 0\n", + "(B,) 1 0 0 1 0\n", + "(C,) 0 1 0 1 1\n", + "(D,) 0 0 1 0 1\n", + "\n", + "Corresponding linear map between vector spaces bd[1]:Ck[1] -> Ck[0] given as a matrix\n", + "\n", + "[[1 1 1 0 0]\n", + " [1 0 0 1 0]\n", + " [0 1 0 1 1]\n", + " [0 0 1 0 1]]\n" + ] + } + ], + "source": [ + "## 2. For each k, compute the k-boundary maps\n", + "## Represent the boundary map in terms of the vector space:\n", + "bd = dict()\n", + "for i in range(1,3):\n", + " bd[i] = hnx.bkMatrix(Ck[i-1],Ck[i])\n", + "\n", + "print('Boundary maps:\\nbd[2]:Ck[2] -> Ck[1]\\n')\n", + "print(pd.DataFrame(bd[2],index=Ck[1],columns=Ck[2]))\n", + "print('\\nCorresponding linear map between vector spaces bd[2]:Ck[2] -> Ck[1] given as a matrix\\n')\n", + "print(bd[2])\n", + "print('\\nBoundary maps:\\nbd[1]:Ck[1] -> Ck[0]\\n')\n", + "print(pd.DataFrame(bd[1],index=Ck[0],columns=Ck[1]))\n", + "print('\\nCorresponding linear map between vector spaces bd[1]:Ck[1] -> Ck[0] given as a matrix\\n')\n", + "print(bd[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### k-cycles are the elements of the kernel of the k-boundary map" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:16.194625Z", + "start_time": "2024-05-16T16:02:16.112081Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.180739Z", + "iopub.status.busy": "2024-04-03T19:17:14.180641Z", + "iopub.status.idle": "2024-04-03T19:17:14.219072Z", + "shell.execute_reply": "2024-04-03T19:17:14.218845Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.180729Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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GA6FQKGveSpPwa3muLmGx7Gdubo4rV1QuXFhp+clPfpKJPFdjNpv50pe+lPNqIyMjeaUnEJQqQl6CkkKfPwKIx8mUaDKbPQBEo9HsYrWKAuEwFbpk0umc4rLZbJmSUZvFZDLh9XqzHmMzGnEvJ3DIiQSGeByXy6UNJ8Ziq/o+x9jYizmvW1V1M37/JwmHwywsLHD5Mly8uNL+wgsvMDg4uO5xYs2XYC8h5CUoKfQsQoBYjMw6JpNJE8T8/DyKomhDesviMgMWoxGr0cgBi2WduIBM9Yu1pJUk05ExFuO5SzdZLBYqKyuzr7VcqDeZTEI4nNlwUo8SAQKBl1CU3GuwfL5P4nI1U1PzAYLBIEtLS1y8CJcva+2qqvLd73533cLmm266iY6OjpzXfPrpp7PkKRCUOkJegpJibeSVTqcxGCyAKZOcsVpcKApmoxGbyUR7TQ2mHNd0OBxZw38670z8gP/26wf4m3f+KX/52y/xd+/9S2YiF9ed53K5ssRXYTJhlCRNrIkE5uXKu6sXDE9N5V5/ZTTaqa39MABudyvV1e9nYUHbk+zCBbh6VTtPVVW+853vcOrUqazH56uDGAwG+fa3v52zTSAoRYS8BCWFLi9VhURCl5czUzlDVVUMkpQRF4DDbKbH78eYZ62Uy+Vad2ww8DI/Ovv/I5YOZo5NhE7xxOC/I5payjrXaDRm7YYsSRJWgwFZllFlGcNyXUR9iDMYHCUavZSzL7W1d2A0rmQzVlQcp7LyJubm5ohEIpw7p2VYgrbv2HPPPce5VVkdjzzySN45OzF0KCgnhLwEJYO+kSToUZdMOp0mEpFJJpNa5QpVxZBIZMRlMhhor6vDtjwPlQs9MlrNG5dyp5eHk/O8O/nCNa+hD02qigLpNKbl51dVlamp/Gu7br31n687VlnZhcfTzczMDNFolDNnQC9AL8syTz/9NGNjYwDU19fziU98Iue1X3/99cx5AkGpI+QlKBn04riwkqwRiURQFK26hCrLkExiWI6wTAYDfpeLiuU5qFw7FAPrIhVZSTEXu5K3H9ORC+uOrb2GWZeXqkI6vbyuSyWdjjE9/VrO63o8B+jpuY+jR4+ua6us7KGiooOZmRni8TinT4O+9jidTvOtb32Ly8uTYvmGDlVVFWnzgrIh1xSAQFCU6DUBAZLJNLOzs8v7Z5m0SCsaBVVFZUVcJoMB47JI8lXJyCR4LGM0mLGZ3MTToZznu8zVG/YNQF4WqCRJYDRm5sTm5n6BLEfWPR7A6+3g9OnvL/d1el1lDFVVURSZsbG3qaqqYmbGxIEDUFGhtf/RH/0RH/vYx7Db7RgMhnV9Anj88cf50z/907zvhUBQKgh5CUqOVCrFqVOnSaW0LL7VyRk6uriAzPqqXEkZoEUua9t6/ffw66vPrjtXwkC3/1M5r7Ga5HJfJEkCkwlVVTGZTHkTNQDOnv0xZ8/mH1Jcje61tTupfOMb39jwcZcvX+aVV17hk5/85KaeRyAoVsTPL0FJkUqlGBwcJBKJaBtESpKWM78sC4Mk4bZYMuIC0NM0dEGZrUYaj1bSc9d+qvwOotHouue5s+n/RUv1rVnHDJKJe4/+Pn5Xc9ZxVVXXpaEnlqM5yWiE5b4oyhxLS+vXZxUakbghKAdE5CUoGWKxGIODg8ulluygKBiSSZA0PRkNBlwWC8qarEI98tIrrx/uqeX47fWYbUYMBon+V65SVVWVle5uMlj4cuf/l7GF97gaHMVitNNa+0Eqbf51/YpGo1nzaTFZJqUoWhLHciKHqqqEw2+wotLd43vf+x4LCwsbbnIpEBQ7IvISlASxWIynnnpqpUagIkM4nPkCmwwGvE4nBklCVtV1AgNtzsvpdBILaSnr6aSCyZ1CMmYvfl5NU9VNfPjgI9y67ws5xaUoyrrHzmY2nLTA8gJlVVVYXMxfGb6QJBIJvvnNb+52NwSCG0LIS1D0xGIxnnzySSYnJ7UDsgwzs1rktbxR5Oo5LoBYamVn4tUac7vdBC4GGT+7yJm3phh6fYJ0UmZpaSnn8OFGqKrK7OxsZv0WaIkaC8sLpU0WCyyvIYtEBkmlZrf+4ncIMXQoKHXEsKGgqNHFNaGvzJVlbZFTWlvIazUaqbDaMRkMpFclbISSSZzLw4SrC+JarVbUtIG3Xri4fERCHy2cnp6muroat9t9zRqHsiwzOzu7bq5rIhZDAexWK5LLlZnvikTezHut3/3d39LY+P5rvBPafF9/f3927UZAUdJMT7+CJC3h9XqxWCR6erSg74c//CHvvffeumv19fUxMDBAd3f3NZ9XIChGROQlKFrWiSuZ1MS1HOmYDAb2VVRgz7HIOJ5Ok1qeh1odeUmSRE1NTd7nnJ+fZ3p6mlgslnP3YkVRCAaDTE5OrhPXfDLJXDKJ0WjEYrVmcthTqSUWFn6T8/mqq1s2JS7QFkJ3d3dnVfMAMBhMeL0fR1FczM7OkkyqDAxoeSydnZ15r/e1r31tU88rEBQjQl6CoiSnuAYGMuKyGk34XS7MRiM1yzfztbFSaHlLlLUSslqtVFevX6u1+rkDgQDj4+MEAgHm5uaYmZlhcnKSK1euMD8/vy41PibLXI1GkSQJp9OJVFubSdYIBn+JqqZyPRWdnQ9v6v3QsVgsdHd3Z5JPdAwGMz7fJ0ilbMzPz5NIqPT3g893kAp9IdgannrqqZVtYwSCEkPIS1B05BRXf78WSgA2k4m2utrMHFeN3a6lzK8hnEzmTNwAbe4rV03D1aTTaWKxGKFQiEgkQiKRyBmNxWWZ8+EwClqRX0NFRWauy2g0Egj8NO9zdHVtTV6gbd/S3d29bm2awWDB5/sEiYSJxcVFEgkYGJBoa8tdaX5ubo7vf//7W35+gaAYEPISFBV5xbWcTGEzmejx+7EaV27cJqOROodj3TyVoqrMx2I5k9P14UOPx3ND/Y3LMufCYWTA6XRidjph1bBkVVWMmZmhnI+trGynuro5Z9u1cDqddHV1rStLZTTa8Pk+STQKS0tLxONgMnXlvY5I3BCUKkJegqLhWuLyWK30+P3YclTKaMwzNBZOJpmJ5C7HJEkSVVVVeL3e6yqXpItLNRhwu92auHw+9AyQxsZGLl3KH9k0NNy95edcTUVFBR0dHev6bjTa8fk+RSiUJhQKYTL5cLm8Oa/x0ksvMT4+fkP9EAh2AyEvQVFwLXFV2mw82t2dU1wAboslU4B3LZeWlghvMLfjcDhobGzE4/Hk3U5kLXFZ5mI8jsVux+VyYbDZNHEtP76yspKDBxsZHv5WnisYaGy88RJNVVVVHD9+fF3UaTI58Ps/xdJSgkgkQl1d7sQNRVH4+te/fsP9EAgKjZCXYNfZjLj+cU8PlTZb3mtIkkRLdXXOFHdFVRmZns5KpV+L0WikqqqKffv2UVdXh8vlwmq1ZsnMZDJht9sxOxxMGwzYnE4sFguS1ZolLo/HQ2dnJ6dPf594fCHn81VV3YzNVnutt2ZT1NbW0trauu64yeTC5/skCwsRKipa8j5eyEtQigh5CXaV7RCXjsNspnZNGnnmedJpRqankTcQGJDJFqytraW+vp79+/dz8OBBDh48yL59+3BVVXEpkUDRJWmxrBOXPhfV359/Psnnu+uaa8m2gt/vp7l5/fyZ2VyBz/cpwmEJt3tfzseeO3eOV199ddv6IhAUAiEvwa6xneKCZfFsMHy4EI8zEAhk1n9tFkmSkCSJSDLJQCBAUn/8BuJaWrrM2NjPc17PYLBRW/vhbZUXwL59+zh06NC642azB6/3LqzWw3kf+3/9X/9XzkxKgaBYEfIS7ArbLa7VVNlsWFcN962+KQcTCfqnpkjk2VU5H1sRF0Bf3z+gqrmjvJqa2zEac0eIN4oeIa7FYqnm0KF/Qr4/+V/+8pd8+9vfFgITlAxCXoKCs1Pi0uMYSZKoWy7Sm4tIKkXf1FRW/cON2Kq4VFVlYODrea/n892V6ed2I0kSR44cwe9fX0TY6TxEVdVNOR+XSqV44okneOmll4TABCWBkJegoOxkxJW9pYm2k7JRknKu84qn0/RNTRG5RoWJrYoLYGzs5ywuXsx5PZOpgqqqW9b1dzuRJInW1lZqa9cnhPj9n877uP7+fn7961/z85/nHu4UCIoJUZhXUDB2UlywvjyUxWjE73KRypOkkZRl+qam6PL5cs6TXY+4AA4f/jj/6T9lK/O3v/3tulqIOyUv/drHjx9ncHAwa8sWr/djeL0fIxabYGnpTbzeWgwGA34/6AmLv/jFLzCbzdxxxx071j+B4EYRkZegIOy0uCC3DMxGI83V1ThyFO8FSCsKA1NTLKwRy/WKKx+5huJ2Ul6g7V/W0dGB2+1e12a3N1BR8QFmZuZQVZWpKTh7dqX95z//Ob/61a92tH8CwY0g5CXYcQohro0wGwz0+v241xSz1ZFVlcFAIFOJY7vFBbnlVQhMJhNdXV04HI51bQ7Hflyu9zM7O4uqqkxMwLlzK+0vvfQSb731VgF7KxBsHiEvwY5SSHHli2NUtAis2+/P+zwqMDIzw9jCwraLC3Yn8tLRt1Kx5XjtTudB7PabmZubR1VVrl6FCxdW2n/84x/n3A9MINhthLwEO0ahI658MtDFYTIY6PL5MluorCUpy7x5+TKz+o7K2ySu1X3YTH93AqvVmnMrFQCX6zBWaxcLCwuoqsrly3Dp0kr7D3/4QwYHBwvWV4FgMwh5CXaE3Rgq3IwKDJJEh9eLz+nMOp6UZQLhMPJyJfqFdBp1m8SVt78FlBeA3W6nq6tr3VYqAG53CybTcZaWlgAYG4MrV7Q2VVX57ne/y+joaCG7KxBsiJCXYNvZ7TmutayNeSRJ4lhtLY3LiQyrxQWA0ciSwcD84iKqqm6LuHY78tJxuVx0dnbmrKJfUXEMSWohGAwCcP486AXnVVXl29/+NqdPny5kdwWCvAh5CbaV3RTXtYYN157bXF2N3+lcJy6cTjAYCIVCxGIxOjo6bjjiKqaFvx6Ph46Ojpzvl8fTjqIcJBwOA1oG4uSk1qYoCs8++yznz58vZHcFgpwIeQm2jWKIuHLpK582oqkU8/E4Hr0/q8QF2jyRzWbj1KlTKNco6HstiiXy0qmurub48eM52yoru0mnG4kuf26nT0MgoLXJsszTTz/NxYsXC9RTgSA3Ql6CbaEYxAW5hZBLHKvT4SusVmo9HnC5ssTl8/kwGAzMzc0xODhIeov1EK/Vh92UF0BdXV3OrVQAPJ4ekkkf8XgcgFOnYGZGa0ulUjz11FNc0SfFBIJdQMhLcMMUi7hgc0kbudZxuQ4cwOvzAdni0llcXGRgYIDUJushbqqvuywvgPr6eo4cObLuuCRJeDw3EYtVk0gkUFUYHYXZWa09mUzyjW98Y+UzFwgKjJCX4IYoJnFBnshr1X9vtADZ4XDQ0tJCQ0NDzoSGUChEX18fiURiy/0qxshLZ//+/Rw4cGDdcUmSqKy8hViskmQymRHY/LzWnkgkePLJJwnoY4oCQQER8hJcN8Umrnzo4thM5YzbbruN3t7enOnkANFolL6+vsx80Faev5hpamqioaFh3XEtAruFaNRFOp1GUWB4GPRyibFYjCeeeIJZPSQTCAqEkJfguihWceVL2NhKyaeKigp6e3tzLugFiMfj9Pf3ZzLyrkU+eRVL5AVaX1paWvB6vTnaDHg8txEO25FlGUWBoSFYXhJGJBLh8ccfZ14PyQSCAiDkJdgyxSouyC2EeDq95ZJPTqeT3t5e7PmqcSST9Pf3Zxb1bkQpyAuW178dO0Z1dXWONl1gVhRFQZY1gYVCWnsoFOLxxx/PqmAvEOwkQl6CLVHM4oL1kVdSlrm4uHhdtQrtdjs9PT0411Tj0Emn0wwMDFx3xFFs8gKtEn17ezsej2ddmyQZqaj4AOGwGUVRSKdhYAD0AHRpaYnHH388s8hZINhJhLwEm6bYxQXZQtArZ6T1NVrXUavQarXS09NDRUVFznZFURgaGmJ6ejrvNUol8tIxGo10dnbicrnWtUmSEZfrA0QiJlRVzQhMnwJcWFjgiSee2PSQqkBwvQh5CTZFKYhrNatLPqlwQ0V29arsVVVVOdtVVWV0dDRv2ngpJGysRd9KJdewqcFgwum8jUjEiKqqpFLaV0HfEm12dpYnn3xyS0ktAsFWEfISXJNSEpdE7lqFN1odXo9G6urq8p5z5swZLl++vO54qUVeOhaLhe7ubqw5dpk2GCw4HLcRjRpQVTXzlVhe00wgEODJJ5/MLHIWCLYbIS/BhpSSuABSOcSlejzbUh3eYDBw/Phx6uvr855z4cIFLly4kCWsUpUXgM1mo7u7G3OOnagNBgs2263E49qygkRCG0LUl8FNTk7yjW9847rWxQkE10LIS5CXUhNXJJlkPBRaX2R3WRLbUR1ekiSOHj3K/v37855z+fJlzpw5c83hwlKQF4DD4cj7vhmNNiyW9xGPa7eSWEwTWDKptV+9epWnnnpqWyuTCAQg5CXIQymKayAQyFkdHrZ3Py5Jkjh8+DBNTU15z5mcnOTkyZMoilLSkZeO2+3Ou5WK0WjHZLqZZFJri0Y1gem+unTpEk8//fQN1YYUCNYi5CVYR6mJK5ZKZa/jWiMufRPG7d5I8uDBg7S0tOQ9Z3p6muHhYWS9XyVOZWUl7e3tOaVrMjkxGG4ildLe80hEE5juq/Pnz/Pss8+WzXsh2H2EvARZlJq4krLM+YWFFXGZTOu2NWlsbNxWca2msbGRtra2vFHU/Pw8w8PDObdUKaXIS6empoZjx47lbDOZXEhSL+m09l6HwzA4CPpHc+bMGb7zne/c8PYyAgEIeQlWUYriWruOS6qoWLetyU5Lwufz0dHRkXNIDbTFu1NTU+uijlKUF2ivN1/EaTK5gW5kWRNYMKhV4tBf+ujoKN/97neFwAQ3jJCXACg9ccXSqeysQn0dV479uApBTU3NhkOTyWSSycnJrHmfUpUXaBFnvjk/k6kC6EZRtPd+cVEr5qv7amhoiB/+8Icluf5NUDwIeQlKTlyRZJKTM7Mr4jKZMuu4JElaJ65C3SQrKyvp6enJmVYOWjmpycnJTOZdKcsL4MCBA3mzLo1GXWDaa1xYgJGRFYH19fXx4x//WAhMcN0Iee1xSlFcA4EAKWVVckZVVWYdl8PhWBdxFfIG6Xa76e3tzVrYu/r5ZVlmcnKyLNY+6VmX+da9GQweJKkHVdU+i7k5OHkS9Lfj7bff5uWXXxYCE1wXQl57mFIT10wkkjurcNUC5P37968bKiz0zdHhcGxYkV5RFKampsqi/p++7i1f5RFJ8iBJXei3mpkZOHVqRWC/+tWvePXVVwvUW0E5IeS1RylFcX1jcHBFXGbLptdx7cYve5vNRm9vLy6XK+fzq6rKmTNnymITR0mSaGtry1v7ESoxGLpRVW0IMRCAM2dWBPbGG2/wi1/8ojCdFZQNQl57kFIU1+MDA0T0Va8WC9TWZsTldDoz4iqmeSSLxbJhRXpVVRkZGSEQCBS4Z9uPwWCgo6Njg+r7Hkym7oywJifh7NmV9p/97Gf8+te/LkBPBeWCkNceo1TFFdbrDeXIKjx8+HAm4solr92cUzGZTLS2tuYcQpQkCVVVOXnyJOPj47vQu+1FL16cb/8zWa7EYunJCGxiAs6fX2l/8cUXefvttwvQU0E5IOS1hyh5cblcWdXh9azCay1A3u2EAIPBgNfrzXtTBzh79iyXLl3a9b7eKGazOe9WKgCpVCU2W0/m/69cgbGxlfYf/ehH9PX17XAvBeWAkNceoeTF5XZDZ2dGXBUV7pzruIot8tKfX5Ikamtrcbvdec8bGxvj/Pnzu97fG8VqtdLV1YXFYsnZnkhUYrf3ZF7npUvavzo/+MEPGBoaKkRXBSWMkNceoCzE1dUFy+unPB4PR4+25lyAXKzyAq1v1dXVeDyezP+v5erVq5w+fXrX+3yj2O12uru7MZlMOdtjsUpcrt7M/4+NaVEYaO/Xd7/7XUZHRwvRVUGJIuRV5pSjuDaqZFFMCRu5kCSJqqqqDTLzYGpqipGRkZIvobQ6kSYXkUglbndP5v/Pnwd96k9RFL7zne9w5syZAvRUUIoIeZUx5SauAwcOXLM6fDFHXqvxeDwcOXIk72NmZ2cZGhoq+SrsFRUVdHR05P1REQpVUlHRnfn/s2e1TETQFnQ/++yzXLhwoRBdFZQYQl5lSrmJ6+DBgzz00EPXVR2+GOUF4PV6824xArCwsMDAwEDJb+RYVVW14esMBqvweDoz/3/6tLYWDLSSWt/61re4tHpSTCBAyKssKUdxPfzww3kTAFZTKpEXaH2tq6vLu8kjQDAYpL+/v+TLSdXW1tLa2pq3fWmphsrKjsz/nzqlVeMASKVSfPOb3+Tq1as73U1BCSHkVWbsZXFB6ckLoLq6esPkhkgkQl9fH7FYbMf6WAj8fj/Nzc1524NBL5WV7YBWfWN0VKuHCFpV/m984xtM6mOKgj2PkFcZsdfFBcWfsLGa1X31eDz09PTkfa3xeJy+vj4ikUihurcj7Nu3j0OHDuVsUxSFUMhPVVUboAlsZESrSA/ae/Dkk0+WRUUSwY0j5FUmCHFplGLkpeNyuejt7cWW5zNKJpP09fURDAa3vY+F5ODBgzQ2NuZsk2WZcLiRykptiFFRtM0sFxe19mg0yhNPPFEWNSEFN4aQVxkgxHVtdlNgW3luu91Ob28vDocjZ3s6nWZgYIAFPRwpQSRJorm5GZ/Pl7M9lUoTix2gslIbYtQFpjs7Eonw+OOPMz8/X6guC4oQIa8SR4grm3zDhsUor3x9tVqt9Pb25q3GIcsyg4ODzOgZDSWIJEm0trZSU1OTsz2RSJFMNuPxaLs1yzIMDkIopLWHQiEef/xxlpaWCtVlQZEh5FXCCHGtpxzkBVqNwO7ubiorK/Nec2RkpKQTGAwGA+3t7XlfYzQaR5bb8HgOAZBOawLTp/2WlpZ4/PHHCelGE+wphLxKFCGu3JRqwkYuTCYTXV1d1NbW5j3n9OnTXNHrKpUg+lYq+aLMcDgKdFBRsR+AVAoGBjJfc+bn53n88cdLPpFFsHWEvEoQIa78lEvkpaNHJ/nmhwDOnz/P2NjYriemXC+6pPPN8y0thTEae3G7tSSPZFITmL5yYHZ2lieeeKLklxIItoaQV4khxHV9FKO8NoskSRw7dixvhh7ApUuXOHfuXMkKTB8mzZdpubAQxGZ7Py6XH4BEQhNYPK61BwIBnnzySeL6AUHZI+RVQghxXZtyi7xWn9vc3Jx3jRTA+Pg4p06dKtmCvlarle7u7rzfh5mZBVyuD+Jw1AGauAYGNJEBTExM8M1vfpOk/n0TlDVCXiWCENfmKFd56ecfOnRowyoVgUCAkZGRki3oa7fb6erqylttZGpqjurqj2G3a1mKsZgmMP1rduXKFZ566qmSrwcpuDZCXiWAENfmKaeEjXzs27ePY8eO5X383NwcQ0NDpNPpG+neruFyuTas93j16jRe7yew2bRtZaJRTWC6ry5evMjTTz9dsq9fsDmEvIocIa6tUc6R12r8fj/t7e15b/CLi4sMDAyU7BCax+PZcCuVS5emaGi4B6tV29gzEtHS6HVfnT9/nueee65kI1DBtRHyKmKEuLaPYpTXjVJbW0tnZ2febWJCoRD9/f0lm8RQXV1NW1tb3vaxsUn2778Xi0VLsw+FNIHpvjp9+jTf+c53SnYOULAxQl5FihDX9bFXIi+dqqoquru7MS+/z2uJRqP09fUR1RdGlRher5ejR4/mbFNVlQsXJjl06HOYzVqafTColZLSBTY6Osr3vvc9IbAyRMirCBHiun72mrxA2614o4r0iUSCvr4+wuHwtjxfoWloaODw4cM52xRF4fz5SY4c+Twmkx3QiviOjGg1EQEGBwd54YUXSnYZgSA3Ql5FhhDXjbEXEjZy4XQ6uemmm7Db7TnbU6kU/f39JVsL8MCBAxw4cCBnmyzLnD8foKXlCxiNVgDm57MF9t577/GTn/xECKyMEPIqIoS4bpxSiry2G5vNRm9vL06nM2e7XpF+Tt/hscRoamqioaEhZ1sqleLChRlaW+/HaNS+b3NzcPKkti8YwFtvvcUrr7wiBFYmCHkVCUJcO0sxymsnokSLxUJPTw8VFRU52xVFYXh4mOnp6W1/7p1GkiRaWlrwer052xOJBGNj87S23o/BoK0Tm5mBU6dWBPbLX/6S1157rUA9FuwkQl5FgBDX9lEqkddODm/qpZaqqqry9md0dHTl+1ZC6KWyqqurc7bHYjEuXw5y7Nj9SJKWhRkIwJkzKwJ7/fXXefPNNwvVZcEOIeS1ywhxbS9CXhpGo5HOzk7q6urynnPmzBkuX768o/3YCfRixR6PJ2d7OBxmfDxGW9sXkCTtFjc5CefOrZzzyiuv8Jvf/KYQ3RXsEEJeu4gQ1/ZTKgkbheinwWDg+PHj1NfX5z3nwoULnD9/vuTmgXQ5u1yunO1LS0tMTaVpbb0P0N7r8XE4f37lnJ/+9Ke88847BeitYCcQ8tolhLh2BhF5rX+eo0ePsn///rznXLlyhTNnzpScwPStVPJlWM7PzzM/b6S19XPoArtyBcbGVs554YUX6O/v3/nOCrYdIa9dQIir8BSbvAqJJEkcOXIk71opgMnJSUZHR0tuMa/FYqG7uxur1ZqzfXp6mlDIQUvLZzLHLl2C1aOl3//+9xkeHt7prgq2GSGvAiPEtbOIyCs/Bw4cyFutAmBmZobh4eGSqwdos9k2rDIyMTFBIlFNc/M9mWMXLsDVq9p/q6rK888/z8mTJwvRXcE2IeRVQIS4dh4hr41paGjg+PHjeZ9/fn6ewcHBkqvI7nA46Orqylvn8fLlyyhKPYcPfyJz7Nw50P8UFUXh29/+NmfPni1EdwXbgJBXgRDiKgwiYePaeL1eOjo68lakX1paor+/v+Qq0rvd7g23Urlw4QImUxOHDn0sc+zMGZia0v5blmWeeeYZLly4UIjuCm4QIa8CIMRVOETktTlqamo2jFTC4TB9fX0lV5G+srKS9vb2vO/vmTNnsNuPceDAhzLHTp8Gfc12Op3mW9/6FpcuXSpEdwU3gJDXDlOq4qpoaqLj4x/HuW9fyYhrI4pNXsVAZWUlPT09eeeKYrEYfX19RCKRAvfsxqipqeHYsWN520+dOoXH08u+fbcB2uLlkydhdlZrT6VSPPXUU4yPjxeiu4LrRMhrBylVcdkbGjhyyy34jh2j9QtfwLq8lqYUxCUir63hdrvp7e3Nm62XSCTo7+8nFAoVuGc3hs/no6WlJWebqqqMjIxQW3sbDQ3vWz6mFfLVyz4mEgmefPJJJicnC9VlwRYR8tohSlVc4WSSdDrNdCiEWluLyWrFYDCUhLhAyOt6cDgc9Pb24nA4crZbrSoDA/0sLi4WtmM3SGNjI01NTTnb9BqP9fUfwe/vAVYEtrCgnROPx3nyySdLsg7kXkDIawcoZXEBLCwtsWgysRAMcubMGbxeb0mIC4pLChtRbP202Wz09PSsq1jR2urmnnv8dHW5GR4eZFYfWysRDhw4wL59+3K2pdNphoaG2L//LrzeDkDbQmV4GPSdY6LRKE888UTJVuIvZ4S8tplSF5eenBGYm6Ovrw+Px1My4gIRed0IekV6vWZgXZ2Vm2+uwmYzcvy4ncZGGyMjIwQCgV3u6ebRF2j7/f6c7clkkqGhYZqaPk1trTZPJsswOKjtygxa8srjjz/Ogh6SCYoCIa9tpFzEVerJGbkoNnkVK3rJpZqaGuJxmaWlJHY7nDt3lfn5JKqqcvLkyZJKZpAkidbWVmpra3O2x+NxhoaGaWn5HNXVzcCKwPTNp4PBII8//njJbuZZjgh5bRNCXMWBiLxuHKPRSHt7O3Z7NW++Ocfbby9x5oydUGhl4fLZs2e5ePFiyYhZkiSOHz+ed5uYaDTK8PAora1foLJSmydLp2FgAPRky8XFRR5//PGSS14pV4S8tgEhruJByGt7MBgMtLW14XTW0de3yPz8+gXLFy9eLKmK9AaDgY6OjrwbdYZCIU6ePE17+xfxeA4AkEppAlv+U2Z+fp4nnnii5JYPlCNCXjeIEFdxUexS0CmFfuo7Fx88eDDvOVevXuX06dMlIzB9KxWn05mzfXFxkVOnztLR8WXc7kZA+5MeGIBYTDtnZmaGJ598kph+QLArCHndAEJcxYeIvLYXSZJoamriyJEjec+ZmppiZGSkZCrSm81murq6sOX5u5ybm+PcuTE6Ox/G5dISPRIJTWCJhHbO1NQU3/jGN0quAkk5IeR1nQhxlRbFJq9SY//+/bS2tuZtn52dZWhoqGQK+lqtVrq7u/N+3wOBAJcujdPZ+QgOh7YbdTyu/Ynrf0Lj4+M89dRTJVcDslwQ8roOhLiKFxF57Rz19fUb1g1cWFhgYGCAVCpV4J5dH3a7ne7ubkwmU8728fFxJidn6ek5gd1eA2hDhwMD2lwYaNXqv/Wtb5XMay4nhLy2iBBXcSPktbPU1dVtWLk9FArR399PQh9fK3KcTueGBYovXrzI9PQi3d2PYbNVAlr24WqBjY2N8cwzz5RM1FkuCHltASGu4qdUpFAq/cxFdXX1hhFLJBKhr6+vZBIaKioq6OjoyPuZnDt3jsXFGN3dJ7BatUzFcFhbB6b76ty5c3z7298uuY08Sxkhr00ixFUaiMirMHg8Hnp6evJ+f+LxOH19fYT1Vb5FTlVVFcePH8/bfvr0aSIRme7uE1gsWgmtUAiGhrQFzaBVq3/++edLJnGl1BHy2gRCXKVPscmrHHC5XPT29ubN2ksmk/T39xPU6ywVOXV1dXm3UtEr0ScSBrq7H8Ns1ooYLy1pAtN9NTIywve///2y/cyLCSGvayDEVVqIyKuw2O12ent7866bSqfT9Pf3Mz8/X+CeXR9+v5/m5uacbaqqMjw8jCzb6O5+DJNJ+5tfXNSK+eoCGxgY4IUXXhAC22GEvDZAiKv0EPIqPFarlZ6eHtxud852RVEYGhpiZmamwD27Pvbt25d3YbYsywwODiJJbrq6HsVo1PZBm5+H0VFtWxWAd999l5/+9KdCYDuIkFcehLhKk1KRQqn0c7OYzWa6u7uprKzM2a4Pu5XK5o6HDh2isbExZ1s6nWZgYACzuZqurocxGLS/sdlZbUdm3Ve//e1v+dnPfiYEtkMIeeVAiKv8EJHXzqNXpM9XvR20xIcrV64UsFfXhyRJNDc34/P5crYnk0kGBwex2Xx0dn4Zg0HLvJyehlOnVgT25ptv8vrrrxeq23sKIa81CHGVNqUybFiuGAwG2tvb8+6fBXD+/HnGxsaK/n3Rt1KpqanJ2R6LxRgcHMTl2kdHx0NIkrZWLBCAs2dXznvttdd48803C9HlPYWQ1yqEuMqDXAIrNnmVY+Slo9/08+1gDHDp0iXOnj1b9AIzGAwcP34873BoJBJhaGgIj6eJ9vYHkCTtljoxAefOrZz3yiuv8Jvf/KYAPd47CHktI8RVPgh57T76DsaHDh3Ke87ExAQnT54s+nVRRqORjo6OvAkpwWCQ4eFhqquP0tb2eUD7bK9ehQsXVs776U9/yrvvvluAHu8NhLwQ4io3SkEMpdDHG0WSJA4dOpQ39RxgenqakZGRoq9Moc/nORyOnO0LCwucPHmSurp2jh37XOb45ctw8eLKeS+88AIDAwM73Nu9wZ6XlxBX+SEir+Ji3759tLW15X3Nc3NzDA4OFn1tQD2j0mq15myfmZnhzJkz+HzdHD16b+b4xYuaxED7Lnzve99jeHi4AD0ub/a0vIS49g67Ja9in9MpFD6fj/b29rwFfZeWlujv7y/67UX0rVTMy39za5mcnOTChQvU199Mc/PdmeMXLmjDiKB9J55//nlOnTpViC6XLXtWXkJc5UsxRV75nncvRV46tbW1dHZ25q3gHg6H6e/vL/oNHh0Ox4aFia9cucLly5fZt+82Dh++K3P83DktkQO0hdvPPfcc51ZndQi2xJ6UlxBXeSPkVbxUVVXR09OTN3KJRqP09fURXf5bLFZcLteGW8OMjY0xPj7OgQMf4tChj2aOnzkDU1Paf8uyzNNPP83Y2FgBelx+7Dl5CXGVP6UghlLo407hdrvp6enJO3eUSCTo6+sjFAoVuGdbw+PxbLiVytmzZwkEAhw8+BH27/9g5vjp09piZtCqdTz11FNc1ifFBJtmT8lLiGtvICKv4sfpdNLb24vdbs/Znkql6O/vZ3FxsbAd2yLV1dW0tbXlbT916hTz8/McPnwXjY23Alr1jZMntXJSoL3Wb37zm4yPjxeiy2XDnpGXENfeptjkJQCbzbZhRXq9CO7c3FyBe7Y1vF4vR48ezdmm13RcWlqiuflu6utvXj6uFfLVi+0nEgmefPJJpvQxRcE12RPyEuLaW4jIq3SwWCz09vZSUVGRs11RFIaHh5nWx9mKlIaGBg4fPpyzTa+qHw6HOXr0Xny+7uXj2lYqCwvaefF4nCeeeKLoX2uxUPbyEuLaewh5lRYmk4nu7m6qq6tztquqyujo6MrfcJFy4MABDhw4kLNNjyJjsRjHjn2Ourp2YEVgS0vaedFolCeeeKLoo81ioKzlJcS1NykFMZRCHwuJXoKprq4u7zlnzpzh0qVLRT0U29TURH19fc62VCrFwMAAiUSStrbPU1PTCoAsw+Ag6Pkp4XCYxx9/nAU9JBPkpGzlJcS1dxGRV2miF8HNd/MHLQX9woULRSswSZI4evRoXgknEgkGBgZIp2Xa2x+gulornSXLMDAA4bB2XjAY5IknniAYDBaq6yVHWcpLiEuwlmKTlyA3+s1///79ec+5cuUKZ86cKdr3VpIk2tra8g6D6lupKAq0t3+RysomANJpTWCRiHbewsICjz/+OGHdaIIsyk5eQlwCEXmVNnpF+nwJEKCVYRodHS3aivT6vmYejydnezgcZmhoCDDQ2fklPB5triyV0gQWi2nnzc3N8cQTTxT9ou3dIHd9kxLlesUVTaV46fz5G35+oyThtlpxWyxUWK3Uu924NpCOENfOIORVHhw4cACTycSZM2dyts/MzJBOp+no6Mhbcmo3MRqNdHZ20t/fnzN6WlpaYmRkhI6ODjo7v8zAwBOEQhOZ21ZvL9hsWuX9J554ghMnTuRdF7eWaDTKSy+9tOU+S5KEyWTCarVitVqx2WzU1tbi9XrzLmnYLcpGXjcScU1HItz3zDPb3icJOFJdTbfPx2379vFgezsHln+JCXHtHKUghlLoYzHQ0NCAyWTi5MmTOX8ILCwsMDAwQGdnZ96SU7uJvpVKX18fMT2cWsX8/DynTp2ira2Nrq5HGRh4nHB4ikRiRWBWK0xNTfGNb3yDxx57LG9lktVMT09z3333betrcTgcNDU1cezYMY4dO8bNN9/MBz/4Qbxe77Y+z2YpC3kV61ChCpybn+fc/DzfOXmS//fLL/OhAwf4Jz09zMViQlw7hIi8yguv14vRaGRkZCTnMGEwGKS/v5/u7u6i/JuxWCx0d3fT19dHIpFY1z49PY3JZKKlpYWurkfp7/860egM8bg2hNjTAxYLjI+P881vfpNHHnlkV15nNBplZGSEkZGRrONHjx7ls5/9LA8++CC33HJLwfpT8nNexSquXKjALy5f5p/+4Af8zTvvMBuNCnEViGKTl2Br1NTUbFjJPRKJ0NfXV7QV6W02G11dXXmjw4mJCcbGxrBYnHR3P4bdriV7RKOawFIp7bzLly/zrW99i5R+oAg4c+YMf/EXf8H73/9+Wltb+Zu/+ZuCzNGVtLxKSVxrubCwwFffe48zdrsQ1zYjIq/yxOPxbFiRPhaL8d577xHR0/WKDKfTSVdXV975ucuXL3PlyhWsVjfd3Sew2SoBLftwYEDLRgRtucCzzz5blJt3njlzht/7vd/j4MGDfPWrX93RhJqSlVcpi0snJcs8+/zzXLhwQYhrGxHyKl9cLhe9vb15532SyST9/f1Fuz7K7XZvuJXK+fPnmZycxGbz0N19AqtVK5sVDmsLmXVfnT17lm9/+9vIslyorm+J2dlZ/o//4//g1ltv3bE9y0pyzquQ4vrIwYO89o//8abOTaTThJJJZiIRhqeneWt8nG+fPMnFDSpjy7LM9773Pf78z/9ciGubKAUxlEIfixWHw0Fvby+Dg4M5h6f0ShYdHR1UVVXtQg83prKykuPHjzMyMpLzx83p06cxmUzU1dXR3f0Y/f1fJ5kMEwzC0JA2y2A0ahXrv/vd7/L5z38+rwxz8ZGPfITXXnttw3NkWSYWixGLxZienmZqaorz588zPDzMO++8w9tvv72pyO+dd97h5ptv5oknnuBzn/vcpvu4GUou8irmiMtqMlHrcNBWV8cD7e38109+krd+93d5uLMT9wZiCoVC/Pmf/3kBe1reiMir/LHZbPT09OB2u3O2y7LM0NAQs/q+I0VGbW0tx44dy9s+OjrK/Pw8Dkct3d2PYTY7AK0G4vCwVhMRYHh4mB/84Afb/v02Go24XC7q6upob2/n4x//OP/8n/9z/uqv/opf/epXzM/P88wzz/DpT3/6muIMBoN84Qtf4Omnn97WPpaUvIpZXLnQ0+Gbq6v53ZtuomaDdRJf//rXi3aooxwoNnkJbhw9i6+ysjJnu6IojIyMFO02Iz6fj5aWlpxtqqoyPDzM0tISTqeXrq5HMZm0+9rCQrbA+vv7+dGPflTQ75rb7ebBBx/kRz/6ESMjIzz00EMbni/LMo888ggvvPDCtvWhJOSlqirz8/P8j//xP+jv7+fy5cucGR3lzEsvcXlykplIBEmSeKijo+jEpafDV9TWcv9DD+X9xR2JRHj55ZcL2cWyRUReeweTyURnZyc1NTU521VV5dSpU1y9erXAPbs2qqpSU1NDbW0t4XCYhYUFZmdnmZ+fJxgMEg6HeffddwkGg7jd9XR1PYLRqM31zc9r+4HpX6933nmHF198cVe+58eOHeNb3/oWP/nJT/D7/XnPk2WZxx57jIsXL27L8xb1nNfU1BRvv/02Q0ND/PrXv17ZFlyWYWoqkz9qM5lwW638r3fewWWxcLyujlsaGqjbpRXh+RYg+83mzFh3Ln7zm9/whS98oYA9LU+EvPYWRqOR9vZ2Tp8+TSAQyHnOuXPnSKfTHDx4cFffe1VVmZubY2JigsXFRRRFQVVVkslk3pGX8fFxjhw5wv79+2lre4DR0WdQlBSzs9qOzG1tIEna/cNkMvHxj3+8wK9K4+677+a3v/0tn/70p/Pe4xYWFnj00Uf5xS9+ccPPV3TySqfTjI6O8vbbb3PlyhVSqRSDg4MbiqvH78e2vP4jnEzy1vg4b42Pc6iyklsaGjhWW4txCxOaN8K1KmfcfvvteT/YCxcuFKSP5U4piKEU+lhKGAwGjh07hslkYnx8POc5Fy9eJJ1Oc+TIkYK//8lkksnJSSYmJtYtVJYkiaqqKhRFyVlGSpZlLly4QDQaxWKx4HC8n4WFNzCbjUxPg8EAra2awN58803MZjMHDx4s1EvL4sCBA7z88st84AMf4NKlSznPefPNN3n66aevOdR4LYpGXqqqMjAwwMsvv5xZp6GLaym8RMKWIG1IkA7NkGpIkrYqmA0GWhw1TCgh7GkTtrSJioQVo6qJ6uLiIhcXF3FbLNzd3Ez7Dpcx2UzJp7vuuou/+7u/y/l4Mee1PYjIa28iSRLNzc2YTKa8N86rV6+STqdpbW0tyGcgy3Im/X2j76AkSdTU1KAoSs4MynQ6TSAQwO/3Ew6bSaVamZv7FTU1VUxNmTEY4OhR7dxXX32Vjo6OnXpJ16S+vp7nn3+e2267Le9i6v/4H/8jDzzwwA3VpCyKOa9UKsX3v/99vve972WJ6+3Rt7louciV/VcIeCeZs11mqSZCtCqF4lKp8tpZrIhzuXKJ07VzDPgD/Hr/Vc5WzxE1r7xpoWSS50ZH+fHZs6R3aNHcZmsVblQHbDM1ywTXR7HJS7AzSJJEU1MTR44cyXvO1NRU3lJT20k0GuW9995jYmJiU98DSZKoq6vDlmfePpVKEQgEUBQFh2MfbvetTE5OEYlEmJiA1cup3nzzze16GdfFTTfdxB/8wR/kbb948SLf//73b+g5dl1ec3Nz/P3f/z39/f2ZYxPpCV4Yf4EznjOE3CFUZG2V3vKXzWQw4He7MBnXdz9tUBivCPFW4zj9vilm7Su/Yt4aH+cf+vpY3OYSMlspsrvR7qj5sqYEW0NEXoL9+/fT2tqat312dpbBwcEdq1IxPT3Nu+++u+VqHwaDAa/Xm3fNZzKZZHp6GlVVcToPUl39QWZmZpmbm+PKFZVimnn4D//hP1BbW5u3/a//+q9v6Pq7Omx4+vRpnn/++cwYsIzMaHqUoekhkiyLQFGQ4hGcB0xYPUacFRZ6m/x4PNqvk3g4TTycJhZKEZpNMj0WQZG1G8aiPc6iPU59yEXLfA0GVWI8FOJv33mH+48f50iezeK2wlarw5/fYOuV5ubmG+6PQMhLoFFfX4/JZGJ0dDTn57C4uMjAwMCGNQe3iqqqnD9/flPZjTabDZ/Ph91ux263Y7PZsFgsyLJMKBTKVAqJxWJZNRvj8TgzMzPU1dXhch0GFGZn3ySZTKIoXmw2Iw7HtrycG8LtdvMv/+W/5M/+7M9ytr/22mvMz8/n3bTzWuxa5HX58mWeeeaZjLgiRHhLfksT17IIzBUmqptV9n/CRW2Pg7oWJ7d376eq2o7BKGEwSjg8Zqob7TQeq+DYh2r5wIP7OHJLFfaKlS/jpDvMe/5JYiZtKDGWTvPU0BBn5uZu6DVcz7YmG61zuPXWW2+oPwKNUhBDKfSxHKirq9uwnmAoFMpb7X2rKIrCyZMnrymumpoaOjs7ufXWW2lqasLv9+PxeLBarZn9tKqqqrj99tvx+Xz4/X4aGhpwu92Z7000GmVubg5VVXG5mqmp+QCJRIJAIMCZMwrFsvnyP/kn/yTvd12WZX784x9f97V3JfIKh8M899xzmTHnAAFOyieZCEyQTCYxmA3UfKAKh2UJKa196cySxGGHg8jSEoupVKaml8lkwmQyYTabcTgcmK0m9rd72He8gsD5CGd+M4eSVglbk7zbMMmxmVpqYw5kVeWZ4WG+2NGB5TomDa9HXCMjIzz33HM5r1dTU8Odd9655X4I1iMiL8Fqqqqq6O7uzjtMGI1G6evro7u7e9ObPa5FURRGR0c3rOjhcrk4fvw4juWwSFVVFhcXWVxczERXiUQCk8mEzWbDbrfT0NDA5cuXAe0eUVVVxfz8POFwmHA4jMFgoKqqCre7lVRqiWBwlNnZeVS1OHLxmpqa6O7uzpoWWs2rr77KI488cl3XLvgrVBSF73znO5nU9wUWGFVGmQxMkkwmsVRbqPtwNeboHGoyRSqdhnSaBquVaI5svNXZLFo5FQdutxubzYa/2YW7xsLwqzPEginSBoUR7zTHZmvxRVwZgX3wwIEtvYbrEVcgEOChhx7KO8b+z/7ZPxMJGzuMqqoFl4ZI2CgOKioq6O3tZWBgIDOys5p4PE5fXx9dXV24XK4tXVuWZUZGRpifn897Tn19Pc3NzRiNxkzm4Pj4OIlEDFle/x1ZnTKvKAqhUEj7cW42U1tbi81mY25ujmAwiMFgoLKykqqqm0kkZgiHZ5Ck4tmY8xOf+EReeb377rvXfd2CDxu+9tprjI2NAZAgwag6yszsDMlkElezC/+n6jBH51ASCcLhMKlYjINWK5Y167TU5X/WEo1GCQQCTE9PI8syzioLN99bT90hbcGyKsGp2lkCTu3LIasqL5w+ven+X4+4vve973HrrbcyPDyc85pNTU388R//8ab7INiYfILaDZGIyKt4cDqd9Pb25s3m0yvSLy0tbfqaeg3FfOLS15+1trZiNBqZn5/nrbfeYnJyjGPHLHzmMz4OHnSsut5K1YzV17DZbExOTrK4uLg8VOjKzOktLi4SjUaRJCN1dR/FYLBumBhWaDaaDhkZGbnuIduCRl7j4+O88cYbgCafUUaZDc4SjUaxN9qpua0SKRAgFY0SjUYxSxLNLhcWgwEFhQQJ0qRRUDLikpAwYMCECStWDBhoqGxBllNMTFzJpJ4e/0gtZ60GJk6HMgID8EVcbDZh9lriamxs5O6772ZsbIyRkRHeeustvv3tb2+YpFFXV8cPfvADnLtUDaQcEfIS5MNut2cq0ufKBEyn05mK9NdKJEin0wwNDeWVndFopLOzk8rKSlRV5dKlS5nSSIcPu2lrM5JIJPH73fz611FSqRVxmUzavy4XOJ3aMpq6ujoCgQDxeJy6ujosFgs+n4+JiQlmZ2epr6/HbHZSV3cH4+PfvaH3aTvp6urK25ZOp7l06RJH9UVqW6Cg8vrlL3+Z+e8LXCAQD7CwsIDJaaL2QzVIc3MkIxFtJbnBQLPLhckAYcKkyT3cpqIiL/+TIMHhyk5uOvBJ4rEEY4vvcn6qD6/Xi8PhoOU27cu4VmDWeP634fVLl5C+8pX8L+oGCk3efvvtfP3rX89bnFNwfZSCGEqhj+WK1Wqlp6eHoaGhnIUBFEVhaGiI48ePU1dXl/Ma6yr/rMFkMtHV1UVFRUWmvuLq0lVXryZpbq7CZjNgNCaQJAOquvIzenm2hHhcq2NYUQEej526ujpmZmaYnJzE7/dnhhFnZmaYmZnB7/djtzfidB6+wXdp+zh8+DAGgyHvurqrV69el7wKNmwYCoU4deoUAEmSXFGvMDs7i2SQqPtoHcZEGDkcJhqNYpQkjjidSAaZEKF14pKMEiabCaPViGTMvgk01XahGCTUtJFqRwMAMzMzpFIpJEmi5bZqGlq1bRR0gc3YC7fzqtFo5M477+TZZ5/lF7/4hRDXDiAiL8G1MJvNdHd3593vS1VVRkZGmJycXNeWTCYZGBjIKy792hUV2kaSV69ezYhLVfWq8Al++9slXn11np/+dJZkEsxmBzZbFRaLG4Nh5Qe1osDiIgQCYLM5qa6uJp1OMzMzs7zey0lFRQXJZDITBbpcxbPsxmg05v0RAOQt53UtChZ5vfvuuxnzTjBBJBohnU7j6fRgdasokwuZMP6gwwHGNBFimcdLRgmr24rFbcGwZnGyklZIhBIkQ0lOTv8Gi9GOZJUYurg8RKmqmV8lBoNhXQR2vrow48PHjx/nK1/5Cvfee2/ecXfBzlFM8hLsPvqw3kZZgqdPnyadTrN//35gZV4sVwkn0MTV09OTmQZYXFzM1CxVVZiZyezgxNtvL2G1VuB2N3PgQB2StHJf04r1hggGx4lEpgGVeBwmJqC+3k0ikSASibCwsEB1dTVVVVVEIhFCoRAejwezuSLv647FYnnbdgp9yDMX+X4EXIuCRF6yLGeySlRUJpnUwnUJ3K1uWFwkHouhKAp+mw2HWSK2Slxmh5mKxgpslbZ14gIwmAzYq+y4G91MJy/xxthzvHHhOabiV5DRUupX/ypZG4FRoB/Bo6OjPPDAA/h8Pv7gD/4g74cpuDFE5CXYLAaDgfb29g238jh//jwXLlzIZCTmE5fFYqG3tzcjLkVROHXqVOY7sLS0Ii6QqKo6gt/fi8vlyxIXaN8Pq7WCuro2/P6ezFYosgwzMxLV1TWYzWaCwSCJRAJJknC73SiKcs2qHrmK/+40G/1Yv16ZFkRe586dy9h1lllCyRCJRALHfgcmi4Iai5FMJrEaDHitFqKsfDksbguOOgeS4dp/7AajAafPSdIcJZxcBLTFz3pyRygUykR/6wRWQILBIP/5P/9njhw5wte+9rWCP3+5I+Ql2AqSJNHa2sq+ffvynnPhwgVefvnlvOKyWq309vZm1nCBVvpOr4wRj2tDfzpebwcez/5NfQ9sNg8NDTdnNqNMJGBpyZDZw0yft9N3lQ6FQht+1+PbXB5vM2y0fu565VWQYcMrV65k/nuKqYz53a1uCIUy6y5qrVZSUgplOf/PaDVir7Zv6Q9dkiQcNQ5CyRBKSkFBIUUKC5ZMxWZ9HYcusPDC+nUfOg6zmY8ePYr72DEt/QctBL7jjjtylpSJRCIsLS0xPT1NX18fb7/9ds5xc/3c3/3d3+X111/nH/7hH26owrJghVIQQyn0cS8hSRJHjhzBbDZnlvLopFIppqamkGWZeDxObW1t1udnt9vp7u5eF12snstZLa7KyiYcjtybZ+bDaLRQV9fO5OR7gEooBB6PFYvFQiQSobq6GqPRiNPpJBKJkEzm/37Jskwqldq2klibYaMaktd73yuIvFavOYgSJR6PYzAbsNVb4co0iUQCA1BtsRBhZfzTUePI+UceX5KZHkogGcDXZcPiWhNyGzSBhac0SSZIYEFbdxUKhbIWIUqSRFNvZd6+m00mojU1HK6vp6amJuc6ro1QVZVXXnmF//7f/3veUihPPvkkkiTx9a9/XdzUtgEReQmuB0mSOHjwICaTibNnzwLadEMgEMhU9IlEIiiKQl1dHQaDAYfDQXd397oCA7FYjMVlY6VSWuQFYDLZ8XhyF0WIRk8RiQxhNvvweD60bijRanVTUbGPYPAKqgrhsDZUODc3RzgcxuPx4HA4luWV/wc5aHNxGyVRbDcbRXvXW9WkIMOGurxUVOLESafTmNwmJEVBVRQURcFtNqNKclbUZbSsN/LJ7wT59oPjvPonM/z8j2Z47oGrnP3J+jFco9WIway9PD2VHiCRSKy7oWx4IzGbUSWJ4eFhrFbrlsSlX/sTn/gEP/rRj3jiiSfyjv0+8cQT/NVf/dWmryvYOsUkL0Hx0tjYSFtbG8lkMhNxrSYWixEIBLDb7fT09OSsjLN67dfqKSa3u2Hd/UaWo4yMPMDbb7cxOvogAwMf4e232wiHh9Zd1+1uyLquPr+mL/TVo6m1fV5LoRcxbzTPVhLySpBAVmQURcHkMkEqlZmDshgMGcEAWJzrBXHlV1He+p8LyMmVG0I6rvLrv5hjqj/b7JIkZV1j9bWv9cGuRjZp/auoqCCRSGQWGV4Pjz76KE888UReWf7hH/6h2E15G9DfX7vdiMtlwmLRvubFJC8ReRU3drsdVVXzfn7X+i6tjjRWB0FO5/po59y5f8Ps7LezjsViZxge/gyynJ18YTbbsVi0kaNUCiTJgMFgyAzLmZanNq611cvi6nHMAjA1NZW3baNtUzZix+UVj8czE3IxYitvstsE6XRGJNblKhqZjpnWd+3kd3KnVKoKnPru+rbV11h97bUfbHSDEDtlTiH5pcwq8WeeeYYzZ87kPf9aPPDAAzz88MM526LRKP/lv/yX6772XsJsNuNy2bBa14/bS5JEZaWZT33Kx7331vPxj3sxmyUhL8GmWFpaYmBgAKvVis/nW/dZWa1W/H4/sViMvr6+nENiq4+t3G6kTNbgStsigcDjOfuRSFxhdvb5dcdNppVIJZ3WhJVKpVBVFYNBk1kxRV6hUGjDdPiNEmU2YsfltTo7J0ky86YaHUaQ5cwft0mSsmoV5pJXaDL/r4lcbasXMK++9uoPNpJMcnKDStAGgwHlqMKscTbz2BsV2J/8yZ/kbfvGN76xpdpqexGz2cz73tfJvffexF13dWYiKx1JkrDZjHg8ZoxGCbfbhCnH92k3EfIqThYWFhgYGMjcI2w2W2Z9qP7/Pp8v8/+6wNZmIa6ec9JvN0ajZd3nHo9fQVXz39disfUjMSbTigBlWUt4WP0jyWg0XlNeW90k80YYHR3dsF1fQ7dVdvwvenXqqAVLJrNEjspgNGY+zLSqIq1acKWk15cScdfnzy/J1aauqta8+tp6HyLJJAOBAKkNtgO3WCxIBolTnCKAti7rRgV29OhR2tracrZFIhF+/vOfX9d19wobbTsBmhhiMZmlpRSyrHLhwjlkOf8Q0E4i5rxKh/n5eYaGhtaVMdIjLbfbjdfrzYhLJ5FI0NfXlxVdrJ4X15PpZDm57vtgs+1HkvLf1+z29WWe0umVQrZGo3Y/Wi1FWZavmcFXyFqqg4ODedsqKytpaGjI274ROy4vfV8aADv2lTHZUBpMpsybnFAUDKu6k0tebV/IvSZLMsCxz69vW32N1dc2mUwZcSWv8QvF6tZ+5aio2yqwO+64I2/bm2++eV3X3Ct4PB7eeWeIF154j1deGSKZXP9dWVpK8eKLAV54YZLBQQfJpFJU8hKRV3ExOzubU1w69fX13HPPPXlv+qlUiv7+/sxc0urELFPGTSqynF1B3WSqxOc7kfOaVut+ams/v+54Or2yLspk0qZBzGYzkiShLCfAXUte+cpi7QSvv/563rabbrrpuq9bkLEU/Y2yYsVoMGoTjOE0mM2ZXzFJRcHIyhuejKyfh9p/u4P3/+sqjJaVP3yTTeID/74Gf3d2Fp+qqlnXWH3thKJki2uD9Q72GjsNt2i/DLZTYBuN846MjGz5enuNVCpFOBwnkUita9PFEIvJhMPpjNyKRV5CXMXF9PQ0IyMjeb8fdXV1tLe343A46O3tzbvflyzLDA4OMjc3lyWv1cnJkcjMusc1N/8VdXUPZB2z24/S0fEjjMZsWaZSMZJJLXPPbAZV1WS1NlHDZNp4FVRlZeWG7duFvlQoH+9///uv+9oFWedVVVXFxMQEEhI2bJhMJtKhNKrBgLQ8wRhKpZBUBwZJS9yQEzJyUl6XLt/2hQqa7nIyPby8zqtz/TovADkho6SW0+6X/wFQTaZscVksUOsBLubtf8unteK5E29PZAQG4MOXEdgXv/jFLVVG1lfH52Jubm7T1xGsp9jXeQl5FQ9TU1OZguG58Pl8HDt2LPOZWSyWTEX6XHPTiqIwPDxMU1NT5pjLpZWGAgiFJqio2Jf1HTAaHRw//uyqdV5+PJ4PrlvnpT9+9XX1uSs9XV/fnLdYIq+f/exnG5bBu+eee6772gWNvAAcOLDZbCgphfhkAlwurFYrCjCfTGJlZTIyOhfN+cdv8xg58EEH+z/gyCkuVVGJzq1MoOrXjMsyF+PxbHH5fCuD0nmQJImWT7dsawS20Y200Gms5Uaxy6HY+7dXmJiY2FBc9fX1WeLS0bc7ybffl6qqXLhwIfM3bjaDHoil0zGWli7nfJzDcYy6ugeorPxwTnElEiGCwasASBK4XGpmnk2PBvXEkWutRS1U5PX3f//3edtqamr44Ac/eN3XLoi8VmeT+PFn3ujQ6RC43Zk3ejaRwKyaM/NTckImNh/b0i9mVdXEpUddBgyYMROXZc5HIiui2qS4dLZbYBtFV1tZBC1Yj4i8BNfi6tWrG/6tNjY2cvTo0byfldFopKOjA6/Xm/ca0Wg0s/PxalcsLo4RjW5tdEWWk8zMjMBy1rTbDalUgmQyidPpzGQYRiIRLBbLhvcQo9FYkNJQo6OjPPfcc3nbH3rooRsqiVcQeTU3N2eKRtZSi9vixmq1Er0SJZ00INntWCwWEorCdCKJg5UMxWQoSXQmiqpc+8ajyAqRQIRUZGUexImThKxwLhzGsDypuVZcet+uxXYK7PLl3L++oLCTqXuJYpGXYHe5fPky586dy9u+f/9+mpubr/kjw2Aw0NbWljdbzuFwEA6HWVhYwGrNFtj09DBLS1c29f2Ix5eYmHiXdFpbO2a1gsejZH4A6/uG6VGY2+3esO+F2o7p93//9/MmwEiSxL/+1//6hq5fEHkZjUZuvvlmQEtZr6dee8PV5eirshKb3Y7BYGAqHieWUrGzshAvFU0RHA8SX4yjyOvfDCWtEFuIERoPkY6vrJlw4CAlw7lwGNVg0D60NeLyeDwcO3Zs069luwS2UQbO4cPFswtqKSIiL0EuVFXl4sWLG1axOXjwIIcPH970ZyRJEi0tLRw4sL5eoSRJ1NbWEgwGmZubw+NRWVk5pLKwcJ6pqT7C4UDWLsp6X+PxJWZmTjI11Z/JUjQaoa5OZX5+jlQqRUVFBVarFVXVhhANBsM10+DzJZxsJ3/913/Niy++mLf93nvv3dJ9NxcF24zy5ptv5o033kBRFBpo4KLjIgumBYIjQRwHHFirqnAqCqFQiIvRKM0uF06jkyhRVFRUWSW+GCe+GEcySplFzEpayVrPBZognThJpGEsEiatqrgdDiSrdZ24urq6CF3Z2mZousDg+pI4RkZGMoU/c/G+971vS/0RZCPkJViLqqqMjY1tOOLR1NTEwYMHt3xtSZI4fPgwJpNpnRhtNhtVVVUsLCwgyzK1tXWYzYZMAkciESSRCDI3dxqTyYbRaEVRUqTTcRQlveZaUFurEg4vEYlEsFqtmVEa/foejweDwUAyGczb3+utJbhZfvrTn/J//p//Z952s9nMX/zFX9zw8xSs7IDb7c6Y1oKF/dJ+amtrURWVmddmkK0ujC4XDocDWVU5EwoRTCi4cWNa41hVVrVsxIS8TlxmzLhVNwsJmbNhTVxOpxOj3Z5TXNc75nojEdif/dmfbXjtT3ziE9fVJ4FGscuh2PtXbqiqyrlz5zYUV3Nz83WJazUHDhzI+WO1oqICp9NJLBZjcnICpzOJ15u9QkdVFVKpKPH4AslkOEtcBgNUVkJdncL8/AyLi4uYTCbq6uqQJIlIJEIwGMRisWQSMSKR/MOiO8nTTz/N7/zO72xYW/E//If/sKXM7HwUtGbO6sySwxzGZ/NRVVVFOpJm9s051JoaLC6XFvZKEldiMa5EYphkOxVUaOvEMGZVy5CQMGLEho0KKjDINi5FY4zHYkiShMvlwux2b6u4Ms99HQJ78skneeaZZ/Je833ve1/e6huCzSEiL4GOqqqcOXMma2+ttRw9evS66+utpaGhgePHj2d9xvrwYWVlJel0msnJSVKpJfx+Gb8fnE5NZKu/FiaTHmnBvn0qFkuUyckJotEoNpuN+vr6TE3D2dlZDAZDRmax2DiRSGELfIdCIf7Fv/gXfPnLX85UuM/Fhz/8Yb7yla9sy3MWbNgQtAyeO+64gzfeeAMJieMcJ1oRJZFIEB2PstAfpOomP+aFBdxGI5FIhIVUioVUCpfJRI3Fgt1owWIwZD5oVdUWOEdlmcuJCNHlNHiTyYTD4cBQWQlVVZlvxnaJS2crQ4i/+MUv+L3f+70Nr/cHf/AH29IvwXqKRV6CwqCqKqdOndpwndGxY8fw+/3b+rxerxeTycTw8HDWzu2VlZVYrVZmZ2dZWFhgcXERp9OJy+XEbDZjNBpRFAmDQY/EUsRiMcbHQ5lahZWVlXg8HiRJQpZlpqenUVWVuro6zGYz6XSYmZk3tvX1bEQoFOJv//Zv+a//9b8yPT294bktLS08++yz11xAvVkKKi+Aj370o1y5coWxsTGsWDkuHSdZm2QqMEVwOKh9yDdVY7Bacc3NkU4mSSQShNNpwqtCUbP2CZNac3Mwm81YLBZMVitSbS2rZkiprq6mvb1923cs3khgXtXL6dOn+fSnP8358+c3vM7HP/5xPv/59eVgBFtDRF4CRVE4efIkMzPrK1qA9hm0tbVtmOp+I1RXV9Pd3c3w8HBm4TBo802NjY2Ew2FCoRDhcDiz15UkScsCU7Ky9AwGAxUVFbjd7kyKu6IoBAIBUqkUVVVVOBwOVFVmZuZ1FCVBVVUVGwSbN8T09DQ///nP+cEPfsD3vve9zK4hG9Hc3Myrr766rT8UCi4vg8HA/fffz//6X/+LUChEFVW0GlrBr006Lg1pM5mVN1UiORyYw2HMwSByIkF6eQsVRVGQFQUkCZNRKzelr10wWK3aIgiXSxssXubQoUMcPHhwyzeO6GyUU9/Lv5BxNXpJqtnRWZKRJENTQ8TGY0TD0Ws+tqGhgccff1zc2LYBIa+9jaIojI6O5i3gLEkSx48f3/GdhD0eD+973/sYGRkhGFxJoFgto0QiQTweJ5VKZe5vJpMp86/VasW+nIm9+vUFAgHS6TQ+ny+TgLGw8C6JxAwul4vq6vy39tnZWb73ve9t2HdZlkkkEsRiMaanp5mamuL8+fMMDw9z6dKlLb0Pd999N9/4xjc2rCp0PRRcXqBVNH7ggQf4+te/nsk+VCWVs9VntbB6WPvSVd5UiVRRAW43xngcYzyubWCTSq1skmM2awPEJhPY7StL2dGbzbS1teVdDX8tZkZmeOa+/HNU24Hf7+enP/0pjY2NO/o8e4Vil0Ox96+UkWWZkZER5ufnc7YbDAba29u3/UaaD6vVSk9PDxcuXODq1atZbdrWPbYtrbtSFCUzPNfQ0JAZgguFThMMjmKxWKitraa5OcgbeUYPR0ZGuO+++67vBW0Bl8vFn/7pn/L7v//7O/Kd3xV5gZaZc9999/H888+jqiqNaDfus05NYItjiywZlvD0aOO72O3av5vEaDTi8/k4ePBgzm26i4U777yT//2///cNZzoJVhCR195ElmWGhobyllczGAx0dnYWvAiAwWCgubmZ6upqLl++fN3l31RVZXFxEYfDkbUQORQ6y9zcrzGZTHi9Xo4eNayeLSk4FouFRx55hD/7sz+77u1ONsOuyQugs7MTYL3ATGepra1FnpdxTDlQm9Scu5XmwuFw0NjYiM/n27aJwZ3AbrfzR3/0R/zRH/3Rbndlz1As8hJsP+l0Om+xXNB+zHZ2dhaspl8uqqurqa6uJhKJMDExwdTU1DU3jVz92EgkQlVVVdaPn3D4AnNzv8JoNOL3+zl82ERDA+xGedSDBw/yyCOP8K/+1b+ivr5+x59v1+/ueQXGWYxGI7HTMfbX7cd7q5d4PE4sFiMej2dkpu8XZrPZcDgcOByOov5l23CogVt7b6WtrQ1FUThz5sy2rHkQrCAir71FKpVicHAw71bzeiFdvYzSbuN0OmlpaeHw4cOEw+HMPS0Wi5FMJjEajZl7mt1ux+l0cu7cORKJRNZ3JxK5xOzsLzAaDfj9fg4dMlHI4jxWq5VbbrmFO+64g8997nM3tL3J9bDr8oKNBQZw5c0rSJJE051NRf+HbzAbsFZYsXlsWD1WKvZXYHVbURUVd4Mbq8uKDx9mzNe9nYpgY4S89g7JZJLBwcFMxt5azGYzXV1dm65fWkiMRiMejwePx5P3HD3df23WZDR6ldnZ1zEYpOXpETPNzSvtH/rQh/jLv/zL6+qXwWDAarVmkkVqamrwer34fD4OHz7MsWPHOHbsGJ2dnbs6JVMU8oJrC+zyL7TV8TshsMpDlfwn9T9t6zVXo6oqZ398dlv3AxPkp9jlUOz9KxUSiQQDAwOZbUDWYrFY6O7uLuiW99uJvsB67Tq1WGyCmZlXkSQt2evAAQstLSvtH/vYx/jIRz5S9kPWBa2wcS06Ozv5/Oc/n/njbqSRFlY+lcu/uMzYz8dK7kPZif3ABPkRkVf5E4/H6e/vzysuPcuvlMV17tw5Jicns47H41NMT/8cUPD5fOzbZ6G1daU6x4c//GHuuOOOwnd4FygqeYEQmBDYzlEs8hLcGLFYjP7+/ryLY202Gz09PTh2M+XuBtA3s1xb0iqRmCEQeAWQ8fl8NDZaaWtbEddtt93GnXfeuWd+HBWdvEAITAjsxhCRV/kSjUbp7+/Pm31st9vp6enZ8crpO8nFixe5cuVK1rFEYo5A4GVAxuv10tBg4/jxFXG9733v41Of+tSe+m4VpbxACEwI7PoR8ipPIpEI/f39eQu/OhwOenp6CrbZ4k5w6dKldRUskskFAoGXUJTksrjsdHSsFBDq6enhM5/5zJ77XhWtvEAITAjs+ij2P+Ji718xEgqF6O/vJ5lM5mx3uVz09PQUdUGCa3H16lXGxsayjqVSSwQCL6IoCbxeL35/trg6Ojr47Gc/uye/U0UtLxACEwLbOiLyKi+CwSADAwNZBW5X43a76e7uxmKxFLhn28fExATnzmXvwZVKhZiaehFZjlNXV4ff76CzM7OzE21tbdx3331ZdQ/3EiXxqoXAhMC2g2KRl2DzLC4uMjAwkHdzQ4/HQ3d3d6baeikyOTm57m88nQ4TCLyILEepra3F53PS1aWVcAVte5EvfOEL275DRilREvICITAhsM0jIq/yYGFhgcHBwbwllCorK+nq6irqMnDXIhAIcPr06axj6XSUqakXSafD1NTU4PO56O5eEVdTUxMPPvhgSb/u7aBk5AVCYEJgm0PIq/SZm5tjaGgoa1+r1VRXV9PZ2VnSkcfMzAynTmVvtyTLMQKBF0mnQ1RXV+Pzuenu1jbPAK2g+Ze+9KWSjjS3i5KSFwiBCYFdm2KXQ7H3b7eZmZnJ2oV4LbW1tXR0dJS0uObm5hgdHc26T8lygkDgJVKpJaqqqvB6K+juBn0qr7GxkYcffrik5/a2k5KTFwiBCYFdHyLyKn6mp6fX3dRXU1dXx/Hjx0s6SWFhYYGRkZGs16goSQKBl0gmF6isrMTr9dDTA3rypN/v55FHHinpbMrtpmS/AUJgQmD5KPZhQ0FupqamNhSXz+creXEtLi6uGw5VlBSBwMskk3N4PJ6MuPTlal6vl8cee6ykF17vBKX7LUAITAgsP7kEVizyEpHXeiYmJtbN/6ymvr6eY8eOlfR7FwwGc4grzfT0z0gkZnC73Xi9lXR3S5l9d2tqanjsscdKttTVTlLS8gIhMCGw3Ah5lQ5Xr17d8Hvc2NjI0aNHS/p9C4VC6zInVVVmZubnxONTuN1ufL5qursl9FrCVVVVnDhxApfLtUu9Lm5KXl4gBCYEtp5ivtEVc98KzaVLl9Ytzl3NgQMHaG5uLun3LBKJMDg4mLVWTRPXa8RiE7hcLrxeTVy6pyoqKjhx4kTRbKBZjJSFvEAITAgsGxF5FTeqqjI2NrauHNJqDh06RFNT8W9AuxHRaHRddRBVVZid/QXR6BWcTidebw1dXRL6fpkul4sTJ05QWVm5O50uEcpGXiAEJgS2MYX+3Evte1Yo9C0/1hagXc3hw4c5dOhQSYsrFosxMDCQVY9RVVXm5n5JJHIRh8OB11tLV5eEvpmyw+HgxIkT1NTU7FKvS4eykhcIgQmBaRRD5JXv+Ur5hnyj6Jssrt3yYzXNzc0cOHCggL3afuLxOAMDA1kV8DVx/Zpw+Dx2ux2fr5bOTgk9wLLZbDz22GPU1dXtTqdLjLKTFwiBCYEJeRUj+rb2azdZXM3Ro0fZt29fAXu1/SQSCQYGBrL2HFNVlfn5twiHz2Cz2fD56mhvN1BdrbVbrVYeffRR/H7/LvW69ChLeYEQ2F4XWDELopj7tlOoqsqpU6fWbWu/mmPHjtHQ0FDAXm0/yWSSgYGBrF2eVVVlYeFdQqGTWK1WfD4vx48bqK3V2i0WCw8//DCNjY271OvSpGzlBUJge1lgIvIqHhRFYXR0lEAgkLNdkiSOHz9e8lFHKpViYGCAaDSadXxpaYBgcBiLxYLP56OtzYDXq7WZTCa+9KUvlfww6W5Q1vICIbC9LLC1FIu89hKKojAyMsLMzEzOdkmSaG9vx6vfzUuUdDrN4OAgkUgk6/jS0hCLi/1YLBb8fh/HjhnQHW00GnnooYdoamrahR6XPmUvLxAC24sCE5HX7iPLMkNDQ8zNzeVsNxgMdHZ2UquPn5UosiwzODhIKBTKOh4MjrKw8C5msxmfz8fRo0b0UVGDwcADDzxAc3PzLvS4PNgT8gIhsL0mMCGv3UUX18LCQs52XVzVesZCiaK/zmAwmHU8FDrN/PxbmEwmfD4fLS1G9DwUSZL4whe+wLFjx3ahx+XDnpEXCIHtJYEVsyCKuW/bQTqdZmBggMXFxZztRqOR7u5uqqqqCtuxbUYfEl37OsPhc8zN/RqTyYTf76e52YQ+pSVJEr/zO79De3t74TtcZuwpeYEQ2F4RmIi8dgc9aWFtJKJjMpno7u7Go6/KLVF0cc3Pz2cdj0TGmJ39JUajEZ/Px+HDJg4dWmm/99576e7uLmxny5Q9Jy8QAtsrAltLscirXEkmk/T396+b+9Exm8309PSUfL0+VVU5efLkurm8aPQyMzNvYDQa8Pv9NDWZOXx4pf2ee+7h5ptvLnBvy5c9KS8QAit3gYnIq7AkEgn6+/vXZdvpWCwWenp6Sr5Cur5ebW32ZDR6lZmZ1zAYJHw+HwcPmlmdi3HXXXdx6623Fri35c2elRcIgZWzwIS8Ckc8Hqe/v3/d+iYdq9VKT08PTn2vjxJFrxCydr1aLDbJzMyrSJK24/GBAxZaVm4jfPSjH+VDH/pQgXtb/uxpeYEQWLkKrJgFUcx92yqxWIz+/v6sihKrsdls9PT0lPxminpNxrUVQuLxANPTPwMUfD4f+/ZZaG0F/SP+0Ic+xEc+8pHCd3gPsOflBUJg5SgwEXntPNFolL6+vqwafqux2+309vaW/Pb1ehX8tTUZE4kZpqdfAWR8Ph+NjVba2lbEdeutt/Lxj3+8bD7vYkPIaxkhsPIT2FqKRV7lQDgcpq+vL2u7j9U4nU56e3uxWq0F7tn2c+nSpXVV8JPJeQKBl1HVNF6vl4YGG8ePr4jr5ptv5u677xbi2kGEvFYhBFY+AhOR184RCoXo7+/P2mBxNS6Xi56eHiwWS4F7tv1cvnyZixcvZh1LJheYmnoRRUlSV1dHfb2djg4wLN9Nu7u7uffee0v+cy52hLzWIARWHgIT8toZgsEgAwMDWVvar8btdtPd3Y3ZbC5wz7afq1evcuHChaxjqdQSgcBLKEoCr9dLfb2Dzs4VcbW3t/O5z32upD/jUkHIKwdCYKUvsGK+eRRz3zZicXFxQ3F5PJ6yEdfExATnzp3LOpZKhZiaehFZjlFXV4fPp4nLaNTajx07xuc//3kMBnFbLQTiXc6DEFhpC0xEXtvL/Pw8g4ODyLKcs72yspKuri5MJlOBe7b9TE1Nrfv+p9NhAoEXkeUotbW1+HxOurpAf7nNzc3cf//9GHWTCXYcIa8NEAIrbYGtpVjkVWrMzc0xPDyMoig526urq+ns7CyLG/f09DSnTp3KOpZORwkEXiKdDlNTU4PP56K7G/QAs6mpiS9+8YtlIe5SQsjrGgiBlabAROS1PczMzGwortraWjo6OspCXLOzs5w8eTLrmCzHCAReJJUKUl1djdfrzhLXgQMH+NKXvlQWQ6WlhpDXJhACKz2BCXndOIFAgNHR0byvw+v1cvz48bKY45mbm2NkZCTrtcpygkDgZVKpJaqqqvB6K+jpAT2JsrGxkYcffrgssipLkdL/1hUIIbDSElgxC6KY+6YzOTnJ6dMnyeclv99PW1tbWYhrYWFhnbgUJcn09Mskk/N4PB68Xg/d3aAvW/P7/TzyyCNlsY6tVCn9b14BEQIrHYGJyOv6GR8fZ2zsLB/4QA133+2jsjJ7SKyhoYHW1taifx2bYWlpiaGhoaxhUUVJEQi8QiIxS0VFBV5vJd3doBcKqaur49FHHy35yiGljpDXFtmLAtPWs9Tz3HPPlZTA1lIs8ipmrly5wtmzZ+noqKC11YXPZ+P222swm7Xv+759+2hpaSkLcQWDQQYHB9eIK8309M9IJKZxu914vVX09EjopRmrq6t57LHHSr7IcDkg5HUd7CWBpf1pGlsbaWlpYd++fSUTgYnIa+tcunSJ8+fPAzA/H+Py5fMYDBLxuIKiaMkJR44cKdr+b4VwOLwu9V9VZWZmXiUen8LlcuHzVdPTI6F7qrKykhMnTuB2u3ep14LVCHldJ3tFYPVV9YQtYUJKCFVVS2YIUchr86iqytjYGGNjY5ljFy8mGBurYGhoiV//eo79+w/S1NRUdH2/HiKRyLrF1pq4XicWG8fpdOLz1dDVJaFvP1ZRUcGJEydKfgfockIsTLgBOjs7AXj++edRVZVGGgE4y1lAExhA052l9UevCwygb7gPu8WO2WhmemYaB46MwL74xS9y9OjRXe5tbor5/S6mvqmqyvnz57l69eq6tvPno5w/H+Xw4cMcOHBgF3q3/USjUQYGBrLqMqqqwuzsm0Sjl3E4HPh8tXR1SegbPrtcLk6cOEFVVdUu9VqQCxF53SDlHoG5O9y8OvIqLw+9zNuRt0smiUNEXtdGVVXOnj2bU1w6LS0tZSOuWCzGwMBAViV8VVWZm/slkcgYdrsdn6+Ozk4JPcByOBw89thj1NTU7FKvBfkQ8toGyl1gtb21JFKJsshCLORnUMyft6qqnD59momJibzntLa20tjYWMBe7RzxeJyBgQESiUTmmKqqzM//hnD4fJa49ADLZrPx6KOP4vV6d6nXgo0Q8tomyl1gpZZGny+6KQZ57XbkpaoqJ0+eZGpqKu85bW1t1NfXF7BXO0cikWBgYCBr00xVVVlYeJtQ6DQ2mw2vt46ODgPV1Vq71Wrl0UcfLZv3oBwR8tpGhMCKR2BCXrlRFIXR0VGmp6dztkuSxPHjx/H5fAXu2c6QTCYZGBggFotljqmqyuLiewSDo1itVnw+L+3tBmprtXaz2czDDz9cNlFnuSLktc0IgRWHwHY7utmI3eqboiiMjIwwMzOTs12SJNrb28tmmCyVSjE4OEg0Gs06vrQ0wNLSEBaLBZ/PS1ubAf0lm0wmvvSlL5XNPF85I+S1AwiB7b7AROSVjSzLDA0NMTc3l7PdYDDQ2dlJrR5+lDjpdJrBwUHC4XDW8aWlIRYX+zGbzfh8Po4dM+L3a21Go5EvfvGLHD58eBd6LNgqQl47hBDY7gssF8Ugr0Kj38gXFhZythuNRrq6uqjWJ3xKHF3UoVAo63gwOMrCwruYzWb8fj+trUYatK8xBoOB+++/n5aWlhxXFBQjQl47iBDY7glMRF4auriWlpZytuviqqysLFifdhJdXGtfbyh0mvn5tzCZTPh8PlpajOzbp7VJksTnP/952tradqHHgutFyGuHEQLbHYEJeWlzPv39/QSDwZztJpOJnp6esqkaoc/pLS4uZh0Ph88xN/cbTCYTfr+fI0dMrJ7S+tznPkdHR0dhOyu4YYS8CoAQWOEFttcTNpLJJP39/evmfHTMZjM9PT1lU6dPz6Kcn5/POh6JjDE7+0uMRgM+n4+mJhNNTSvt9957Lz09PYXtrGBbEPIqEEJghRXYXo68EokE/f39RCKRnO0Wi4Wenh5ceuG+EkdVVU6dOsXs7GzW8Wj0MjMzb2A0GvD7/Rw6ZObIkZX2u+++m/e9730F7q1guxDyKiBCYLufxFEM8tpJ4vE4fX1969LDdaxWK729vWWzpYcurrXr1mKxcWZmXsNgkPD5fBw4YKa5eaX9rrvu4rbbbitwbwXbiZBXgRECK4zA9mLkFYvF6Ovry6oksRqbzUZvb2/ZbKKo12YMBAJZx2OxSaanf44kgc/nY/9+C0ePgv62f+QjH+FDH/rQLvRYsJ0Iee0CQmA7L7C9Jq9IJEJfX19W7b7VOBwOent7sdls2/7cu4FeDX9tbcZ4PMD09M8ABZ/Px759Vo4dWxHXBz/4QT760Y8WvL+C7UfIa5cQAttZge2lhI1wOEx/f39WtfTVOJ1Oenp6sFqt2/q8u4W+/9jaaviJxAzT068AMj6fj4YGK8ePr4jr1ltv5a677irq74Zg8wh57SJCYDsnsGKOvLaTUChEf39/1v5Uq3G5XPT09GCxWHa8L4Xi0qVLXL58OetYMjlPIPAKqprG6/XS0GCjvX1FXDfddBN33323EFcZIeS1ywiBFTaJoxjktV030KWlJfr7+7N2BF5NRUUFPT09mM3mbXm+YuDy5ctcvHgx61gyucjU1IsoSoK6ujrq6+20t4Nh+e7W1dXFvffeK8RVZgh5FQFCYNsvsGKNvLbrBrq4uMjg4CCyLOds93g8dHV1YTKVz2bpV69e5cKFC1nHUqklAoEVcfn9Djo7wWjU2tvb2/md3/kdDAZxqys3xCdaJAiBba/Aylle8/PzG4qrqqqq7MQ1MTHBuXPnso6l02ECgZeQ5Ri1tbX4/U66ulbE1drayuc//3khrjJFfKpFhBDY9gmsWIeIbrRfs7OzDA0NoShKzvaamho6Ozsx6nfwMmBqamrddyOdjjA19VPS6Qi1tbX4fC66ukD3dXNzMw888EBZvQ+CbIS8igwhsO0RWDlGXjMzM4yMjOR9DbW1tbS3t5dVpDE9Pc2pU6eyjslyjEDgRdLpMNXV1Xi9Lrq7QZ/aO3ToEF/84hfLKvIUrKd8vuVlhBDYziVx7La8rpdAILChuLxeb9mJa3Z2lpMnT2Ydk+U4U1MvkkoFqaqqwueroLsb9GTK/fv38+Uvf7msklQEuSmfb3qZIQR2YwIrp8hrcnJy3U18NX6/n7a2tqIdKr0e5ufn18lalhMEAi+RSi1SWVmJz+ehuxv05WsNDQ08/PDDZbUsQJAfIa8iRgjs+gVWLvIaHx/n9OnTedsbGhpobW0tK3EtLCwwPDyc9f4pSpLp6VdIJufxeDz4fJV0d4NeMMTn8/Hoo4+WTQURwbUR8ipyhMCuT2DFejPfSr+uXLnC2bNn87bv27ePlpaWon2t18PS0hLDw8NZCSmKkiIQeIVEYoaKigq8Xk1ceonGuro6HnvssbKp2SjYHEJeJYAQ2NYFVuqR16VLlzh//nze9oMHD3LkyJGyElcoFFq3BEBR0kxP/5xEYhq3243XW0VPj4TDobVXV1fz2GOPlU2VfMHmEfIqEYTAtieJY7fltZnHXLhwgbGxsbznNDU10dTUVFbiCofDDAwMZIlLVWVmZl4lHp/E5XLh9VbT3S2he6qyspITJ06UzYaagq0h5FVC7HWBbTSEluuaudhteW0kHL1S+tq6fas5cuQIBw8e3Jb+FQuRSISBgYGsMleauF4nFhvH6XTi89XQ3S2he8rtdvPYY4/h8Xh2qdeC3UbIq8TYywJ77rnnmJub2/T1clGs8tL3plpbKX01LS0t7N+/f9v6VwxEo1EGBgayCgurqsLs7JtEo5dxOBz4fLV0dkpUVGjtTqeTEydOUF1dvUu9FhQDQl4lyF4VmKIoDA8Pb0pgxTqklqtfqqpy+vTpdXtTraa1tZXGxsad7FrBicfjDAwMZG3loqoqc3O/IhIZw2634/PV0dkpUVmptTscDk6cOEFtbe3udFpQNAh5lSh7VWCqqjI8PMzi4sI1r5OLYou8FEXh5MmTTE1N5byGJEm0tbVRX1+/I33cLRKJBP39/VmbZ6qqyvz8bwiHz2Gz2fD56ujokKiq0tptNhuPPvooXq93l3otKCaEvEqYvSyws2fPEo1Gt3zt3ZbXahRFYXR0lOnp6ZztkiRx/PhxfD7fTnRv10gmk/T39xOPxzPHVFVlYeFtQqHTy+Ly0t5uoKZGa7dYLDzyyCNlJ3HB9SPkVeLsJYGd5jRhwgAoisr09HRegRV75KUPgc7OzuZ8rCRJdHR0UFdXt6N9LDSpVIqBgQFisVjW8cXF9wgGR7FarXi9Xo4fN6C/dLPZzMMPP8y+fft2oceCYkVUriwDOjs7AXj++edRVZVGtLmRs2jZeZd/oWWvNd1ZWunVusAAJt7W5oNm0W72BrQFqdPT0zQ2LuV8bC6KQV6yLDM8PMzCQu6hT4PBQEdHR9klJOjiikQiWccXFwdYWhrCYrHg82ni0oNNk8nEl770pbLLsBTcOCLyKhP2SgQGmsCirERcY2Nj65I4ilXSiqIwODiYV1xGo5Gurq6yE1c6nWZoaIhwOJx1fGlpmMXFPsxmMz6fj9ZWI36/1mY0GnnwwQc5fPjwLvRYUOwIeZUR5S6w+ptX5jsWWCDJSpba2izEYoy8ZFnm6tWrLC2tjxRhRVyVempdmSDLMkNDQwSDwazjweBJFhbewWw24/f7OXrUiJ5QaTAYuP/++zl69Ogu9FhQCgh5lRnlLLDmu5txN+jVFFSiRDMC07MQr5VGv1vykmWZQCCQlaSwGpPJRE9PT9ktutWHSNcKOxQ6w/z8bzGZTPh8PpqbjehL2CRJ4r777qOtrW0XeiwoFYS8ypByFlh1S/UqgUGUKDG0yf/VAiumyEuWZaamprLWM63GbDbT09NTdmWOFEVhZGRk3RBpOHyeublfYzQa8fv9HDliYvWU1mc/+9nMPK5AkA8hrzKl3AXm9Lkyx5ZYymQh6gKbn5/P+fhCyyudTjM5OZmpILFWqhaLhd7eXlwuV65LlCz6MoC1n0MkcpHZ2TcxGg34/X6amkw0Na20f+Yzn6G3t7fAvRWUIkJeZUw5C6zykAeLe2XTwVlmswR26tSp61oHtp2kUimmpqayavatxmq10tvbi0MvkV4m6O//2mUA0ehlZmZex2CQ8Pv9HDpk5siRlfZPfepT3HLLLQXuraBUEfIqc8pVYCBhr7ZvKLBc68AK9Tqj0ShXr15dJy79c7Db7fT29pbdHlR6qau1C69jsXFmZl7LiOvAATPNzSvtH//4x/nABz5Q4N4KShkhrz1AuQpMkjSB2WtWBLBaYMA6gRXiNUYiEfr7+7OKza7G4XDQ09NTdrv+6pVP1pa6isenmJ5+FUnSdjzev9/C0aOgj6DecccdfPjDH96FHgtKGSGvPUI5C6xiX0VWEscss0RYWQi7WmA7/frC4TD9/f15kzNsNhs9PT1YrdYd7Ueh0bdzWVtcOB6fJhB4BZDxer3s22fl2LEVcd1+++187GMfK3yHBSWPkNceopwFtjYLcU6aI2leEYgusJ18bcFgMCviWvtcFouFQ4cOYbFYcj28pBkbG1u3nUsiMcv09MuAjM/no7HRRlvbirje//7384lPfKJoF5QLihshrz3GXhGYikrUEV0nsLULZbeLpaWldRsqrsZqteL3+zGbzTvy/LvJpUuX1m2gmUzOEwi8jKKk8Hq91NfbaG8Hw/Id56abbuKee+4R4hJcN0Jee5C9IjAk1gns4sWLm97QcrMsLCwwODiYtYX9aqxWKz6fD4PBUHY36ytXrjA2NpZ1LJlcJBB4CUVJLIvLTkfHirg6Ozu59957y+69EBQWIa89SrkLrKJxedvdNQLbyoaWm2F+fp6hoaGc4lJVdXl7D01c5cb4+Djnz5/POpZKBQkEXkKW49TV1eH3O+jsBKNRaz9+/Dj33XdfWb4fgsIivkF7mHIXmLV2OSlijcA2W0rqWszOzjI0NISiKDnbtS3ss8VVLtHG5OQkZ8+ezTqWTocJBF5ElqPU1tbi9zvp6loR19GjR/nCF74gxCXYFsS3aI9TzgKz77NjqVlOjlgWWMy4vpTU9TA9Pc3IyEje96Wuro66urp1sioHeQUCAU6fPp11LJ2OMDX1U9LpCDU1Nfh8Lrq6wLS86dKRI0d48MEHMeomEwhuECEvwZ4SWNASXFdKaqsCm5qaYnR0NO/74fP5OH78eE5Rlbq8ZmZmOHnyZNYxWY4RCLxEOh2muroan89NdzfouSmHDh3ioYcewmQS2wcKtg8hLwFQngKTJGm9wFhfiWMrApuYmODUqVN52+vr6zl27BiSJG24k3IpMjs7y+joaNYxWY4TCLxEKrVEVVUVPl8F3d2grwbYv38/X/rSl8oyy1Kwuwh5CTKUo8AgOwLT+349Art69SpnzpzJ297Y2MjRo0fziquUmZ+fXzdMqihJAoGXSCYXqKysxOv10N0N+vrr+vp6Hn744bJbkC0oDoS8BFmUu8Ds3tylpK4lsMuXL3Pu3Lm819+/fz/Nzc2Z9y3f+1OKkdfi4iLDw8M5xPUyyeQ8Ho8Hr7eSnh7QK175fD4effTRsiuBJSgehLwE6ygXgeVKlnAddK0rJbWRwFRV5eLFi1y4cCHv8xw8eJDDhw9nPV+5yGtpaWldRqWipJme/hmJxAwVFRUZcek1hmtra3n00UfLrlq+oLgQ8hLkpFwElou1paTyCUxVVcbGxrh48WLeazU1NdHU1LRpKZWSvEKh0LrF16oqMz39M+LxAG63G6+3iu5uCd1TVVVVPPbYY2W3P5mg+BDpP4K86LvZPv/886iqSiONAJxFW99z+RdaSaCmOzd/8y4k+fqkrwMDCE2EAE1gAC5cGYG5XC5CoVDe6x85coT9+t71ayj1yCscDjMwMJBDXK8Sj0/icrnweqvp7pbQPeXxeDhx4gQVFRW71GvBXkJEXoINKbcITO9nrmK+egSmqmpmAXK+DS1bWlryimv185QikUhkXZ1GVVWYmXmDWOwqTqcTr7eGri4J9/Lb53a7OXHiBJWVlbvTacGeQ0RegmtS6hFYPnJGYOosi3OLpMPajXt6ehqv15s1f9Pa2kp9ff2G197pyCuVirG0dIlYbIFUKkIqFcNoNGMy2XE4anC56nE4arZ83VgsxsDAQNZeZKqqMDv7C6LRS8tVQ2rp6pLweLR2p9PJiRMnqK6u3pbXJhBsBiEvwaYoRYHl6sdaqawWWHA8SHQ2SiqSwoEDC9piJV1gTqeTY8eO4fP5rvnc2ykvRUlz6dIbXLz4OuPjv2FqaoBIJHDNx1mtFdTVHae+/mYOHryDpqY7cThq854fj8fX7UWmqipzc78iEhnDbrfj89XR0SGhB1h2u53HHnuM2tr81xUIdgIhL8GmKUWBbQZJkqg6UsXipUVSES3iiKINF+oCm5mZoaWlZVPiutZzbZapqQHeeut/curUd4nFtl7GKpEIcvXqb7h69Te8/fb/gyQZOXjww3R0fJnOzi9jsThXnZugv7+fRCKROaaqKvPzvyEcPrdcYFgTlx5g2Ww2Hn300Rt+TwSC60HIS7AlSklgm31+RVaYGZnBYDJgcVtIhrTIQxeYVbJSV1fHxMQE1dXV1NRcezjuRiKviYl3+dnP/iMXLry8qf5vFlWVuXjxNS5efI2XX/733HTTP+f22/89FksVAwMDxOPxVeeqLCy8Qyh0enlLFy/t7Qb0l26xWHj44YdpaGjY1j4KBJtFyEuwZUpJYGtZKxVFVpgemia+GNcWMldri5V0gcWkGDXeGhx2RyYLsaOj45oCu56EjUQixEsv/Xv6+v4eVc1dqX67SCSC/PrXf8Hbb/8/HDr0MH7//RiNK5UwFhf7CAZHMnuRHT9uoK5OazObzXz5y1/eMGFFINhpRLah4LoohyxEJa0QGAwQX1yJOHSBWdwWkMDpcxKyh7ZcSmqrkdfU1ABf/erNvPfeV3dcXKtJp2OcO/f3jI7+aebY4uIAS0uDWCwWfD4vbW0G9JFBo9HIQw89xKFDhwrWR4EgFyLyElw3xR6BbZSwIadkAoOBTIS19nFOr5PqI9UZseVaB7ZRBLYVeZ09+xOeffYLpNOxa74mm62Sw4fvYv/+D1JX105VVRMORy1mswOQSCZDRKNzzM+fY2ZmlMuX3+DSpTeIxxc3vK4sa8+9tDTC4mIfZrMZn89Ha6sRPbHSYDDw4IMPcuTIkWv2UyDYaYS8BDdEsQssF3JyWVzh9eICMJgN+Lp8WFwW5s/Ob7iQeTNDiKtZ+x6cPPldvvOdh5Dl3H3ROXjwDm677fdpabkHo9GS9zy7vRq7vZqamhZaWu7h9tv/HbKc4ty5n9Df/w+cPv2DvJFdMHiKhYW3MZlM+P1+jh410ti40u/777+f1tbWTb9WgWAnEfIS3DDFKrBcz6UkFab6p0hFUzkeAUaLEV+3D4tTE8RmKnHkEthmIq8rV37N889/eUNxVVc38+lP/zVHjnwi7znXwmg009r6WVpbP8v09Cg//OG/4+rVn2adI8sx5ud/kxFXc7MRfUpLkiTuu+8+jh8/ft19EAi2GzHnJdgWSmEOTEkqLJ1Zyi8uqxF/jz8jLti4EgfknwO71usMBsd55pnfIZ2O5z2nvf1B/sW/GLghca1GURQCAZkjR/4/dHf/JQ7HwUxbKrWE0WjE7/dz+LCJgytNfPazn6Wrq2tb+iAQbBdCXoJto5gFJidkwufCyHE5Z7vJZsLf48fsWL9p4vUI7FqR1w9/+LtEItN5+/v+9/8b7r//meW5rBtHVVVOnjyZ6WNlZRc33fS31NZ+JNMvv9/PoUMmDh9eedynP/1pent7t6UPAsF2IuQl2FaKSWB6H+S4Ji4lmXuux2RfFpc9/26/WxXYRvLq7/865879NGc7QFfXo9xzz19u/OK2gC6umZmZrOOJxDQu12Fqam7HarVx8KCZ5uaV9k9+8pO8//3v37Z+CATbiZjzEmw7xTQHJsdkwufDqOncMjE7zPi6fZis1/5T2Gw1+o6ODkym3NeT5QQ///kf530Or7eDe+/922v2ZbOoqsrp06eZns6O8mKxCWZmXkOS4OjRj1BTE6Vl5TcGd955J7fffvu29UMg2G5E5CXYEYohApNjWsSVV1xOM/4e/6bEpbPZCGx+fj7n40dGvk4oNJ7v6vyjf/R3mM32PO1bQ1VVzp49y9TUVNbxeHyK6emfAwo+n499+yzcdFMl+u+ID3/4w9xxxx3b0geBYKcQ8hLsGLspsHQizeLpRVQ5+9r6c1ncFvw9fowW45avvRmBnTlzZt12KqqqMjT0tbzX7ez8Evv23bbl/uRCVVUuXLjAxMRE1vF4fJpA4BVAxufz0dhopa2NjLg+8IEPcOedd25LHwSCnUTIS7Cj7IbAVEVlZmQmb8RlrbDi7/ZjNG9dXDrXEpiiKExPT2cJbGHhHYLBS3mv+cEP/sF192ctFy9e5MqVK1nHEok5pqdXi8vG8eMr4rrlllv45Cc/WTTr8QSCjRDyEuw4hRbYwoUFEsFEzjaTy4Sv24fBdONf/WttaAlkCUwbqsvN/v0fxOfrvOE+AVy6dIlLl7IlmUzOEwi8hKIk8Xq91NfbaG8Hw/Lb0Nvby6c//WkhLkHJIOQlKAiFElhkJkLwajBnm8ltwnXEhcG4ta+9qqobZg/mEljUsBJxzczMkEgkmJ//bd7n6Oj40pb6lI8rV64wNjaWdSyVWloWVwKv14vfb6ejY0VcnZ2d/KN/9I+EuAQlhcg2FBSMnc5CTEVTzJ6azfz/6msYLAach5xIho2vq6oq0WiUWCxGKpUinU4jy9raMJPJhNlsxmw243K5sFgsmedZm4W4YFhANatYUhZUVWV8/B1SqYW8z9vS8uktv961jI+Pc/78+axjqVSQqakXkeU4dXV1+P0OOjvBuDxi2tbWxn333YfBIH7HCkoLIS9BQdkpgamqyuzp2XUJGoBWHb7JiWSU8kZQsiwTDAYJh8MZWa0lnU6TTqeJxWIEg0GsVitutxun07lOYCoqUUcUY8iIUTESiZzJ23eP5wBVVU2bfq25mJyc5OzZs2v6GyYQeBFZjlJbW4vP56SrC/Qs/qNHj3L//fcLcQlKEiEvQcHZCYElQ0kSS7nnuez77Bjt+ZMzotEos7OzKMrWtiJJJBIkEglCoRB1dXWYTCaqW6pRFZX5y/MgQcQZwR1yk0zmT9RoaLhlS8+7lkAgwOnTp7OOpdNRpqZeJJ2OUFNTg8/nort7RVyHDx/mwQcfxGi8/qQVgWA3ET+5BLvCds+BBcdzz3NZqi1Ya1Y2WVx9PW234AWmp6e3LK7VJBIJJiYmiMViSJJEzdEazC6tWodiVIg6oqRSk3kfX1d3/QVvZ2ZmOHXqVNax/397dxfjVnnncfx7js85fh+/zIw9k0BCUgINhEmATZWFLlBVlRAsqCgqhSgvF3vXq24l7qq9q3qHekeFQKpWW1XQSqvS7QvsqoK2qJQAzaSbFLaBEBKSmbHHY/scvxz7vOzFGZ/BYzsvhUA8/D+Rlcmx59jHEvz0POf//B/XbbG4+CKOY5LP5ykW0+zeDfpqA5GtW7fy2GOPjVxILcQ4kPASn5lPKsBcx6VZag4cVzWV+ObhC35932d5eZlarfYxrmBN0PR2MQgwVSF/cx4lElxX1+jiuKM3r8zl/r79sZaXlzl58mTf9+O6bRYXX6LbrZHL5SgUJti9G1Zvz3Hddddx4MCB8H6dEONKwkt8pj6JAGstt/C9wefj0/EwQNYzTRPLsi762TRNIx6Pk06nSaVSRKPRS05jlkolHMchEo2Q2BI01fV9H9etjvydVGrmouccZmVlhRMnTvR9L57XYXHxv+l0VshmsxQKGfbsgejqwHN2dpaDBw8SjUaHn1SIMSLzBuIzd7n3wK6/6/qB3/V9n9Zyi2HN1+OFOM3u4IgsKFsf3r4JIB6PMzExQSwWGwgrz/OwLIt6vY7jOAO/21ucnE6n0TM6ekanU7HAH14EApBMTo98bphqtcpf/vKXvqnOteBaJpPJhMEViwXPFwoFDh06RKx3QIgxJ+ElrgmXE2Bux8X3/b5AcW0Xt+MOhFcsF0OLa7Bu6y7f9ymXy4wyOTlJKpUaOcJSVZWJiQmSySTlcplWqzXwmk6nQ6PRAMCYMrCXh+8f1qNpl9/LsF6vDwkuh6Wl32LbJSYmJigUsuzerRCPr13T4cOHSSQ+me1VhLgWyLShuGZcagrx7KtnqZ6u9k2VOfbg6AcgvSk9NIBc16XTGb5zcaFQIJ0e/nvrRSIRCoUCyWRy6POWFXTZ0FIaqn7xYhBNu7xpPNM0OX78eF8pv++7lEq/pd1eIJ1OUyjk2L1bofexcrkcR44cIZVKXdZ7CDEuJLzENeVSAVb7oEb1dBUIAsxzhgdDPD98NGPbw8vpM5nMFY9MFEVhcnISXR/cB8x1XRzHQVEUjPzFw8n3L13paFkW8/PzfVOVQXC9TKt1nlQqRaGQZ/duhV5OZTIZjhw5wsTExBVdlxDjQKYNxTVn1BTiOwRrmWof1Ihlk/h+Ec/xUNctVYoYEdSIOjCC8n2fbndwCk9VVbLZ7MBx3/epvv9n6mdPEonGmbr5bmLZmaG/u36jRwimD3VdR89c/D6T4wwP1J5mszkkuDxKpd/RbJ4lmUxSKEwyN6eQXu1SlU6nOXLkyNDrEmIjkPAS16RhAebg8AFB8YZ53sSx23hdD9YNbLT4qI0gg+m29ffNht3j8pwOJ57/Nyp/W+tH+N5LP2THg99m9o4H+16bSCSIRCLrpvP88N+R+MXvaXW7jZHPtVotjh071he6vu9RLv+BZvMMiUSCQmGKuTmFTCZ4PplMcvjwYfL5/EXfV4hxJtOG4po1bAoxz9r/kNvVNh2rM1BGr8WGh9eohcjDpgtP//bZvuAC8D2H//uvJ7EWTvUdVxSF+JCA8jwP3/dRdQPU0VOHlrU49Hi73ebYsWN99+iC9Wl/pNF4j3g8TrE4xW23KfQGWPF4nEOHDjE9fWUVjEKMGwkvcU1bH2ATTKwFmA9O2xkIMD0e3IMaVuY+zLBOEwt//vXwD+R7LMy/eFnngLWOHpFodvj5AMsa7L5h2zbz8/N99+h836dS+ROW9TdisRjF4jS33qrSG2BFo1EOHTrEzMyVrxsTYtxIeIlr3rAAyymZMBg6Vot2tR3+u7dX17B7Xh/9u2d9Y1rP7eK0zZGfp2sNrhFbf47176XGRk/hlcv9fQk7nQ7z8/N9ZfhBK6s3MM23iUajFIsFbrlFZWoqeN4wDA4ePMimTZtGvo8QG4mElxgLt912G9/4xjfCEU5Gi5FQVjtYeC3smh0GWK98fn3T2V6YrR+Bre8ir0Z04pODC6J7koXtA8fWn6P3Hr33jMRmR56vVPrf8Odut8v8/HzfDswA1eox6vUTGIZBsVhk506VQiF4TtM0Dhw4wPXXj/7MQmw0El5ibMzNzXHXXXcBoGkOMTWKruj4XjBC6QWY03JWX9M/ldcbHa0Pr2EViFvvOTT0MxipPLN3/vPA8fXnWB9eavS6kdd17tyf8LygtP748ePhAueeavU4tdo8hmEwM1Pki19U6c0MRiIRHnvsMW644YaR5xdiI5LwEmNl165d7Ny5E0UBTXMxVAPNWwsOu2ZTP1fH9/2B9Ve9kdj6UdKwHofFua+x48F/RYuvrZFKb/oic4efRE9k+l7ruu7AFJ/neUQiERRFwXd9IvGtI6/JtmucO/c6x48fxzT7pyvr9ZNUq2+h6zrFYpGbborQmxlUVZVHH32UG2+8ceS5hdiopFRejJVcLkexWARgYWEFVVWJuC4xL0JbDUKpsdSgerpKdlsWVVXDUZCqBmu/ut1uX7l8s9nEcZyBkdqmf3iYmT3306p8SCSaIJYpDv1MvW4aPY7jBN01Vs/n2i6qkScSn8VtDd8a5Q9/eIZNm/pHe6b5DpXK62iaxszMDDt2RLhudQCnKAr79+/n5ptvvpKvT4gNQ0ZeYqz0Ft0Wi0W2bZsJpwI1zyVOUK7uez4rp1eonq72NaJVFAXDMIYuVi6Xy0M716uaQbKwbWRwdTodqtVq37FehWBv25HuSvBe8fzukdd19uyv+97fsk6xvPzHMLi+8IUIW7asXccjjzzCrbfeOvJ8Qmx0El5irORyufDnmZksk5OTAHieSZRoGGAdq0Ptgxp+xe8Lhd52ILZt9x1vt9tUKpXL3vwSghHW0tLSuv203HAUF4lE8F2fTqUTNPSdvWfkudrtCywvvwpAo3GacvlVIpEIxWKR7ds1PnpL66GHHmJubu6yP6cQG5GElxgrH+0akU4HYZZIJOh2zwGEAdYxg7VfzQtNnJKzVrKuqui6juu6A30OTdNkaWlp4J7YMK1Wi/Pnz69r2eSHVYK9kOxUO/iuj2EY5JI7yGRGh86ZM/+OZZ2mVPodkYjKzMwM27bpbP9IceMDDzzAHXfcccnPJ8RGJ+ElxkoulyOz2gcpl4N0WmdiYgJdt3DdoEovSpSoE8VpB41xvRWP9oW1dWDxeBxVVWm32wN7crVaLc6dO8fy8nLf6KzX7qnRaLCwsMDi4uJA1WKr1cJ1XQzDQNd1fN+nUw66YxiGQZo011//2Mhrs6y/8f77z6CqCsVika1bdT5ai/G1r32NL33pSx/vCxRig5DwEmNFURTuvPPO1Z9hdjZoQmsYOvH4Svi6KFEMM7jnZBgGnVInDDBVVcOWUI1GYyDAfN8PRmGLC5w5c4azZ8+Gj1KpRLvdHnh9u92m0+kQiUTCVlHtC23cVhBmMTVGlCj5/D5SqVtGXl+lcpRMRmfLFoMda830+cpXvsLdd9/9939xF+F5Hs8999xVObcQV4uElxg7d9xxR1j2PjsLyWTQGNdxzjI5uXZPzG/6THQnUBSFRCKBvWSHAaZpGolEAt/3sSxr4B5YKqbzyF1f4MB9N/GPXyyM3LbE8zwajQbtdhtVVUkmk0FFY62LvWQHQRlPkCe/2t6pwubN/8Ko//R8v8t77/0n11/fpNcg5Mtf/jL33DP6ftnHYVkWjzzyCE899dRVOb8QV4uElxg7qVSKnTt3AmAYUCgopNNpPM9GUcpM9XomAe1Sm5yXQ9d1YrFYX4AZhhF2lG+1WuEozPd9sqkomyeTRN0GN0wnUIe0mrJtG8uywgKNVCqFqqq4tkvzg+DeVzKZJKfkiPpRVlZWaLVaFAp72LLl8ZHXV6+X+PGP/4NGo8G+ffv46le/elkbZF6pN954g9tvv50XXnjhEz+3EFebhJcYS3v37g1/3ryZcKfgev0EyWQ8DLBOp0O30iVPnlg0hqZp2Es2zTNNfDcYgaXTaTRNw3EcLMvCNE1cp0u70yU/NUWj49N1girCTqdDs9mkVqvRarXwPI9YLEYymURVVZymQ+PdBr7rk0gkSEfSZMhQrVap1+tMT0+jqipbtx4hnd458vouXLjAj370I7LZ7CceXKZp8sQTT3DXXXdx6tSpS/+CENcgWaQsxtKWLVsoFAosLS2RyUA2q1GrpTHNCisrb5HPB+FWLpexLIvJ6CT5dB4/6dNoNOhWu5gtk+S2JJFYhFQqFYZTp9Ph7TOL2LZNKqZTqjWp1/tbNqmqimEYGIaBqqrBSKxs0/qwBX5QFJIwEkwxRbVapVarkc/nwypEx7HI5fbSap3DcYY3AS6Xy9x9991861vf4rvf/W64OPvvZZomP/zhD3nyySdZWFj4WOcS4rOm+FeysEWIa8jRo0f55S9/CUC9Dm+95fHhhxfodrtMT3+FZHIrlmVRLpdRFIWZmRmcqEPZL9NsN4NSeRXim+MYOQNFDUY4vu/jOA6u6+J5Hp7noSgKqqoGHT0ikbD1E4DX9Widb9Fd6aIoCslkkqSWZNqfplFvsLKyQjKZZGpqarXDR42Fhd/gui0ymSinTv2UZnNl5HUCxGIxHn/8cQ4cOMB99903cguW9Wzb5ve//z0/+clP+NnPfka9Xh/6unvvvZeXX375Mr95IT57El5ibHW7XZ566ikqlWCLkg8/hJMnu5w/fx5F0ZidfQhdn+gLsMnJSaKpKCVKNLoNms1m0CpKUzAmDaKTUVTj0rPpvu/jNlzssk23GnTQ6BWBZNUsGS9DZblCo9FA13VmZ2dRVZVu12Rh4de4bpPp6WlmZpJs327y3HM/ZnFx+KaU6yWTSfbu3cuuXbu44YYbmJqaIpFIoCgKlmWxvLzMqVOnOHHiBK+//vrAerZhJLzEuJHwEmPtwoULPPvss2G5+8mTcPp0g1KphGHkmZl5AFXVaDablMtlPM8jnU6TzWdZUVaoe3Vs26bTWdvQUktrROIRVEMNH77n43U8PNvD63g4loNnBxWIkUiEaDRKVI8ypUxhdA2WlpbodrvEYjGmp6dXqyEtFhZ+g+NYTE1NMTOTYvdu0PUgiF999VVeeeWVT/071HWd733vezzxxBOf+nsL8feS8BJj76233gor5lwX3nwTzp2rUK/XSSa3MTX1ZRQlErZz6nQ6GIZBoVCgq3UxMWn6TTrdDrZtX1aHDSC85xXVoqRIkSaN3bDDPomZTCYsuOh2aywu/g+OYzI5OcnMTJo9e4LgAti2bRsHDhzgxRdf5Nvf/jbvvvvuVfq21iiKwte//nW+//3vS4NfMXYkvMTY832fn//85xw7dgyARgPefNPn/PlF2u020egU09P3oWmpcK2VaZooikIqlSKdTqMaKhYWJiaO33+/a/09r94jpsRIkybhJ2g1W5imGa736k3lBZ8n6FXo+w75fJ5icYLbbw/K/CEoPjl48GDYyNe2bZ5++ml+8IMf8N57733i31csFuOb3/wm3/nOd6RHohhbEl5iQ+h2uzzzzDPhfaNSCU6e9CiXVzBNE1WNMjX1TyQSwZ4ijUZQSNGbboxGo6TTaRLJBK7i4qz7o6CgoaGjo63+8Z2gE4dlWeFoLZFIkMvlVttDuVQqb2Cafw0DbXo6wdwcrBYdsnnzZg4fPhxWIX6U53n86le/4vnnn+cXv/jFQPf6KxGLxbj33nvZv38/+/fv7+sRKcQ4kvASG8by8jJPP/10WKBgWXDiBJRKQRFDMJU3Rza7B0VRw7ZOpmmGDXUVRUHXdTRNQ9O08GfP83AcJ3x0u90w+FRVJZ1Oh+vFICiFL5VewbZLGIbB9PQ0112nc9NNsNochJmZGY4cORK2k7oYx3GYn5/ntddeY35+nvfff58zZ85QqVRoNpu02200TSMejzM5OcnmzZvZvn07u3btYu/evezbt29oQAoxriS8xIZy6tQpnnvuuXC/LseBt9+G8+c7lEql1SKKIpnMHLHYprDc3XEcTNOk1WrhOM5A0931IpEIhmEEZfGrLaEAPK+DZZ2iWp3H82xSqRTT03l27FDDHZABZmdnOXjwIMlk8up8EUJscBJeYsNZWlri+eefp1wuh8c++ADefdejXF6m0QgWHOv6BKnUzaRSNxKJ9I9Kevty9R7rR2Tru150OhXq9bdpNN7D952wLH9qKsWttwbbt/Tceeed3H///ei9ag0hxBWT8BIbkm3bvPDCC5w4cSI8Vq3CX/8KptkJ71X5vo+iaCSTN5BK7cAwcqiqccnzB1ukNGm3FzDNt7HtEhCs9ZqYmCCZTFIsRrj55rWKQl3XefDBB9mzZ89VuGIhPl8kvMSG5fs+r7/+Oi+99FJYUOH7UC4HC5orFS/sZdibZgRQ1Siallp9pFerFB0cx8RxrPDvj3aaTyQSpNNpUqkYxaLC5s3w0RnByclJHn300Y/d4kkIEZDwEhveuXPn+OlPf0qtVus73mwGIbaw4NNo2LRarbAQ42L3vSKRSFjMoes6yWSSTEZj0yaYmVkryOi55ZZbePjhh4nFYlfrEoX43JHwEp8L7Xab1157jTfffBPT7G+E67qwtBT0R2y1oN0G2wZntZO867ooihLe79I0hVgMYjGIx2FqCrLZwffcsmUL+/btY+fOnVdlSxMhPs8kvMTniuu6vPPOOxw9epTTp0+PfJ3vByHWe6hqEFSx2Nri4mEMw2Bubo69e/fKFKEQV5GEl/jcKpVKHD1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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "drawhasc()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In our example AB+AC+BC, AB+AD+BC+CD, and AC+AD+CD are all cycles. \n", + "In terms of the vector space these are: (1,1,0,1,0), (1,0,1,1,1), and (0,1,1,0,1). \n", + "We confirm they belong to the kernel by computing their images under the 1-boundary map." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:17.327161Z", + "start_time": "2024-05-16T16:02:17.317789Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.220618Z", + "iopub.status.busy": "2024-04-03T19:17:14.220546Z", + "iopub.status.idle": "2024-04-03T19:17:14.222963Z", + "shell.execute_reply": "2024-04-03T19:17:14.222757Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.220610Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boundary map:\n", + "bd[1]:C[1] -> C[0]\n", + "\n", + "[[1 1 1 0 0]\n", + " [1 0 0 1 0]\n", + " [0 1 0 1 1]\n", + " [0 0 1 0 1]] [1 1 0 1 0] = [0 0 0 0]\n", + "[[1 1 1 0 0]\n", + " [1 0 0 1 0]\n", + " [0 1 0 1 1]\n", + " [0 0 1 0 1]] [1 0 1 1 1] = [0 0 0 0]\n", + "[[1 1 1 0 0]\n", + " [1 0 0 1 0]\n", + " [0 1 0 1 1]\n", + " [0 0 1 0 1]] [0 1 1 0 1] = [0 0 0 0]\n" + ] + } + ], + "source": [ + "print('Boundary map:\\nbd[1]:C[1] -> C[0]\\n')\n", + "v1,v2,v3 = (1,1,0,1,0), (1,0,1,1,1), (0,1,1,0,1)\n", + "for v in [v1,v2,v3]:\n", + " image = np.mod(np.matmul(bd[1],np.array(v)),2)\n", + " print(bd[1],np.array(v),'=',image)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### k-Boundaries are elements of the image of the (k+1)-boundary map\n", + "\n", + "In our example there is only one non-zero element of $C_2$, ACD. We confirmed above that its image under $\\partial_2$ belongs to the kernel of $\\partial_1$. And note the image is exactly the set of 1-dimensional edges that make up the boundary of ACD. \n", + "\n", + "When we compute homology we are interested in the cycles that are not generated by boundaries." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:18.218517Z", + "start_time": "2024-05-16T16:02:18.208692Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.223332Z", + "iopub.status.busy": "2024-04-03T19:17:14.223257Z", + "iopub.status.idle": "2024-04-03T19:17:14.227567Z", + "shell.execute_reply": "2024-04-03T19:17:14.227189Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.223324Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boundary maps:\n", + "bd[2]:C[2] -> C[1]\n", + "\n", + "[[0]\n", + " [1]\n", + " [1]\n", + " [0]\n", + " [1]] [1] = [0 1 1 0 1]\n", + "\n", + "Interpreting the vector in C[1]:\n", + "\n", + "[('A', 'C'), ('A', 'D'), ('C', 'D')]\n" + ] + } + ], + "source": [ + "print('Boundary maps:\\nbd[2]:C[2] -> C[1]\\n')\n", + "v = [1]\n", + "image = np.mod(np.matmul(bd[2],v),2)\n", + "print(bd[2],v,'=',image)\n", + "print('\\nInterpreting the vector in C[1]:\\n')\n", + "print(hnx.interpret(Ck[1],[image])[0])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Computing the Homology group using Smith Normal Form\n", + "\n", + "Every rectangular matrix with elements from a reasonable set (in our case $\\mathbb{Z}_2$) may be written in Smith Normal Form. \n", + "A nice description of the procedure may be found here: http://sierra.nmsu.edu/morandi/notes/SmithNormalForm.pdf\n", + "\n", + "For our purposes we will transform the k-boundary matrix $\\partial_k$ into a diagonal matrix by multiplying it on the left and right by two matrices:\n", + "$P_k\\partial_k Q_k = S_k$, where the maps $P_k:C_{k-1} \\rightarrow C_{k-1}$ and $Q_k:C_k \\rightarrow C_k$ are isomorphisms and $S_k$ is the rectangular matrix with with 1's along the first r cells of its diagonal and 0's everywhere else. We note r is the rank of $S_k$, hence the rank of $\\partial_k$. \n", + "\n", + "\\begin{equation}\n", + "S_k =\n", + " \\begin{bmatrix}\n", + " 1 & 0 & 0 & \\dots & & 0 & 0\\\\\n", + " 0 & 1 & 0 & \\dots & & 0 & 0\\\\\n", + " & & \\vdots & & & \\\\\n", + " 0 & 0 & \\dots & 1 & 0 & \\dots & 0\\\\\n", + " 0 & 0 & \\dots & 0 & 0 & \\dots & 0\\\\\n", + " & & \\vdots & & & \\\\\n", + " 0 & 0 & \\dots & 0 & 0 & \\dots & 0\\\\\n", + " \\end{bmatrix}\n", + " \\end{equation}\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:19.157273Z", + "start_time": "2024-05-16T16:02:19.150964Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.228084Z", + "iopub.status.busy": "2024-04-03T19:17:14.228007Z", + "iopub.status.idle": "2024-04-03T19:17:14.230500Z", + "shell.execute_reply": "2024-04-03T19:17:14.230192Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.228077Z" + } + }, + "outputs": [], + "source": [ + "### Compute the transformations needed to compute the Smith Normal Form for the \n", + "### boundary matrices for our example\n", + "P1,Q1,S1,P1inv = hnx.smith_normal_form_mod2(bd[1])\n", + "P2,Q2,S2,P2inv = hnx.smith_normal_form_mod2(bd[2])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Smith Normal Form form $\\partial_1$ is $P_1\\partial_1 Q_1 = S_1$:\n", + "\n", + "\\begin{equation}\n", + " \\begin{bmatrix}\n", + " 1 & 0 & 0 & 0\\\\\n", + " 1 & 1 & 0 & 0\\\\\n", + " 1 & 1 & 1 & 0 \\\\\n", + " 1 & 1 & 1 & 1\\\\\n", + " \\end{bmatrix}\n", + " \\begin{bmatrix}\n", + " 1 & 1 & 1 & 0 & 0\\\\\n", + " 1 & 0 & 0 & 1 & 0\\\\\n", + " 0 & 1 & 0 & 1 & 1 \\\\\n", + " 0 & 0 & 1 & 0 & 1\\\\\n", + " \\end{bmatrix}\n", + " \\begin{bmatrix}\n", + " 1 & 1 & 0 & 1 & 0\\\\\n", + " 0 & 1 & 1 & 1 & 1\\\\\n", + " 0 & 0 & 1 & 0 & 1\\\\\n", + " 0 & 0 & 0 & 1 & 0\\\\\n", + " 0 & 0 & 0 & 0 & 1\\\\\n", + " \\end{bmatrix} =\n", + " \\begin{bmatrix}\n", + " 1 & 0 & 0 & 0 & 0\\\\\n", + " 0 & 1 & 0 & 0 & 0\\\\\n", + " 0 & 0 & 1 & 0 & 0 \\\\\n", + " 0 & 0 & 0 & 0 & 0\\\\\n", + " \\end{bmatrix}\n", + " \\end{equation}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Smith Normal form for $P_2\\partial_2 Q_2 = S_2$:\n", + "\n", + "\\begin{equation}\n", + " \\begin{bmatrix}\n", + " 0 & 1 & 0 & 0 & 0\\\\\n", + " 1 & 0 & 0 & 0 & 0\\\\\n", + " 0 & 1 & 1 & 0 & 0 \\\\\n", + " 0 & 0 & 0 & 1 & 0\\\\\n", + " 0 & 1 & 0 & 0 & 1\\\\\n", + " \\end{bmatrix}\n", + " \\begin{bmatrix}\n", + " 0 \\\\\n", + " 1 \\\\\n", + " 1 \\\\\n", + " 0 \\\\\n", + " 1 \\\\\n", + " \\end{bmatrix}\n", + " \\begin{bmatrix}\n", + " 1 \\\\\n", + " \\end{bmatrix} =\n", + " \\begin{bmatrix}\n", + " 1 \\\\\n", + " 0 \\\\\n", + " 0 \\\\\n", + " 0 \\\\\n", + " 0 \\\\\n", + " \\end{bmatrix}\n", + " \\end{equation}" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:20.513888Z", + "start_time": "2024-05-16T16:02:20.509025Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.231100Z", + "iopub.status.busy": "2024-04-03T19:17:14.230999Z", + "iopub.status.idle": "2024-04-03T19:17:14.238327Z", + "shell.execute_reply": "2024-04-03T19:17:14.238079Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.231093Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P2= [[0 1 0 0 0]\n", + " [1 0 0 0 0]\n", + " [0 1 1 0 0]\n", + " [0 0 0 1 0]\n", + " [0 1 0 0 1]]\n", + "bd[2]= [[0]\n", + " [1]\n", + " [1]\n", + " [0]\n", + " [1]]\n", + "Q2= [[1]]\n", + "S2= [[1]\n", + " [0]\n", + " [0]\n", + " [0]\n", + " [0]]\n" + ] + } + ], + "source": [ + "## Verify the Smith Normal Form for bd[2]\n", + "print('P2=',P2)\n", + "print('bd[2]=',bd[2])\n", + "print('Q2=',Q2)\n", + "print('S2=',S2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Betti numbers\n", + "From here the dimension of $H_k(ASC)$ is immediate. The dimension of $H_k$ is the $k^{th}$ betti number for the ASC and is equal to:\n", + "\n", + "$$\\beta_k = |C_k| - \\text{rank}(S1) - \\text{rank}(S2).$$" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:21.403405Z", + "start_time": "2024-05-16T16:02:21.393598Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.239042Z", + "iopub.status.busy": "2024-04-03T19:17:14.238953Z", + "iopub.status.idle": "2024-04-03T19:17:14.242162Z", + "shell.execute_reply": "2024-04-03T19:17:14.241912Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.239034Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Betti_1 = 1\n" + ] + } + ], + "source": [ + "## 1st Betti number for our example:\n", + "print(f'Betti_1 = {len(Ck[1]) - np.sum(S1) - np.sum(S2)}')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use the Smith Normal Form to obtain the kernel, image, and cokernel of the boundary maps\n", + "Consider the product: $P_k \\partial_k Q_k = S_k$. The columns of matrix $Q_k$ corresponding to the 0 columns in the matrix $S_k$ form a basis for the kernel of $\\partial_k$. \n", + "\n", + "Consider the product: $\\partial_{k+1} Q_{k+1} = P_{k+1}^{-1}S_{k+1}$, gotten by rewriting the Smith Normal Form for $\\partial_{k+1}$. Since $Q_{k+1}$ is an isomorphism, the image of $Q_{k+1}$ is just $C_{k+1}$. Hence the image of $\\partial_{k+1}$ is the same as the image of $P_{k+1}^{-1}S_{k+1}$. By examining this product we see the image of $P_{k+1}^{-1}S_{k+1}$ has a basis given by the columns in $P_{k+1}^{-1}$ corresponding to the nonzero rows in $S_{k+1}$. Moreover the cokernel of $\\partial_{k+1}$ has a basis given by the columns in $P_{k+1}^{-1}$ corresponding to the zero rows in $S_{k+1}$. The image and cokernel decompose C[k] into disjoint subgroups. \n", + "More formally $$C_{k} \\cong Im(\\partial_{k+1}) \\oplus Cok(\\partial_{k+1}) = B_k \\oplus Cok(\\partial_{k+1})$$\n", + "\n", + "The homology group, $H_k(ASC)$ is gotten by taking the kernel of $\\partial_k$ (the cycles $Z_k$) and identifying the image of $\\partial_{k+1}$ (the boundaries $B_k$) with the zero element. This means that $k$-cycles in $Z_k$ are the same in $H_k(ASC)$ if they differ by an element of $B_k$. If we think of this in terms of the decomposition above, we are only interested in the part of the kernel of $\\partial_k$ that dwells in the cokernel of $\\partial_{k+1}$.\n", + "\n", + "The map $P_{k+1}$ returns coordinates of its image in the decomposition $Im(\\partial_{k+1}) \\oplus Cok(\\partial_{k+1})$.\n", + "By restricting $P_{k+1}$ to its rows corresponding to the $0$-rows of $S_{k+1}$ we obtain a projection map $\\pi_1:C_{k} \\rightarrow Cok(\\partial_{k+1})$. \n", + "Similarly, if we restrict $P_{k+1}^{-1}$ to its columns corresponding to the $0$-rows of $S_{k+1}$ we obtain a projection map $\\pi_2:Cok(\\partial_{k+1}) \\rightarrow C_k$ which returns an element in the cokernel in terms of the $k$-cell basis for $C_k$. \n", + "\n", + "We apply $\\pi_1$ to each element of the the kernel basis of $(\\partial_k)$. The resulting vectors will be the coordinates of these vectors in a basis of the cokernel given by columns of $P_{k+1}^{-1}$. Working backwards we apply $\\pi_2$ to the image of the kernel basis to recover the projection of the kernel basis onto the cokernel in terms of the original basis (the $k$-cells for $C_k$). \n", + "\n", + "The resulting set of vectors will be representatives for a spanning set of $H_k(ASC)$. We take a linearly independent subset of these vectors to form a basis.\n", + "\n", + "The elements of $H_k(ASC)$ are cosets in $\\frac{Z_k}{B_k}$. A basis for $H_k(ASC)$ will be some linear combination of these cosets. The vectors we obtain above will only be one set of representatives for a basis. They might not be the best representatives. \n", + "\n", + "We illustrate with Tri-Loop." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:22.355684Z", + "start_time": "2024-05-16T16:02:22.338239Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.242684Z", + "iopub.status.busy": "2024-04-03T19:17:14.242596Z", + "iopub.status.idle": "2024-04-03T19:17:14.246236Z", + "shell.execute_reply": "2024-04-03T19:17:14.245931Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.242676Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Change of basis Q1\n", + "\n", + "[[1 1 0 1 0]\n", + " [0 1 1 1 1]\n", + " [0 0 1 0 1]\n", + " [0 0 0 1 0]\n", + " [0 0 0 0 1]]\n", + "\n", + "kernel basis corresponds to 0 columns of S1\n", + "\n", + "[[1 0]\n", + " [1 1]\n", + " [0 1]\n", + " [1 0]\n", + " [0 1]]\n", + "\n", + " [('A', 'B'), ('A', 'C'), ('B', 'C')]\n", + "\n", + " [('A', 'C'), ('A', 'D'), ('C', 'D')]\n", + "\n", + "P2 inverse\n", + "\n", + "[[0 1 0 0 0]\n", + " [1 0 0 0 0]\n", + " [1 0 1 0 0]\n", + " [0 0 0 1 0]\n", + " [1 0 0 0 1]]\n", + "\n", + "image basis is first column:\n", + "\n", + "[('A', 'C'), ('A', 'D'), ('C', 'D')]\n", + "\n", + "cokernel basis comes from remaining columns\n", + "\n", + "[[1 0 0 0]\n", + " [0 0 0 0]\n", + " [0 1 0 0]\n", + " [0 0 1 0]\n", + " [0 0 0 1]]\n" + ] + } + ], + "source": [ + "## By construction P1 and Q1 are invertible so if P1(bd[1])Q1 = S1 then kernel of bd[1] \n", + "## is generated by the columns in Q1 that correspond to the 0 columns in S1\n", + "\n", + "print('Change of basis Q1\\n')\n", + "print(Q1)\n", + "print('\\nkernel basis corresponds to 0 columns of S1\\n')\n", + "rank1 = np.sum(S1)\n", + "kernel = Q1[:,rank1:]\n", + "print(kernel)\n", + "for row in kernel.transpose():\n", + " print('\\n',[Ck[1][x] for x in range(len(row)) if row[x] == 1]) \n", + "\n", + "## C1 is decomposed into the image and cokernel of b2 with basis given by the columns of P2inv\n", + "print('\\nP2 inverse\\n')\n", + "print(P2inv)\n", + "\n", + "#The image of bd[2] is generated by the columns of P2inv corresponding to the nonzero rows of S2\n", + "print('\\nimage basis is first column:\\n')\n", + "rank2 = np.sum(S2)\n", + "image = P2inv[:,:rank2]\n", + "for row in image.transpose():\n", + " print([Ck[1][x] for x in range(len(row)) if row[x] == 1])\n", + "\n", + "#The cokernel of bd[2] is generated by the columns of P2inv corresponding to the zero rows of S2\n", + "print('\\ncokernel basis comes from remaining columns\\n')\n", + "cokernel = P2inv[:,rank2:]\n", + "print(cokernel)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:23.008945Z", + "start_time": "2024-05-16T16:02:22.998390Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.246675Z", + "iopub.status.busy": "2024-04-03T19:17:14.246604Z", + "iopub.status.idle": "2024-04-03T19:17:14.251213Z", + "shell.execute_reply": "2024-04-03T19:17:14.250791Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.246667Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Change of basis P2\n", + "\n", + "[[0 1 0 0 0]\n", + " [1 0 0 0 0]\n", + " [0 1 1 0 0]\n", + " [0 0 0 1 0]\n", + " [0 1 0 0 1]]\n", + "\n", + "restrict P2 to a projection onto the cokernel\n", + "\n", + "π_1 = \n", + " [[1 0 0 0 0]\n", + " [0 1 1 0 0]\n", + " [0 0 0 1 0]\n", + " [0 1 0 0 1]]\n", + "\n", + "restrict P2inv to Basis for Cokernel\n", + "\n", + "π_2 = \n", + " [[1 0 0 0]\n", + " [0 0 0 0]\n", + " [0 1 0 0]\n", + " [0 0 1 0]\n", + " [0 0 0 1]]\n", + "\n", + "Coefficients for projection of kernel basis on cokernel gotten\n", + "by projecting the kernel basis matrix given above\n", + "\n", + "π_1(kernel) = \n", + " [[1 0]\n", + " [1 0]\n", + " [1 0]\n", + " [1 0]]\n", + "\n", + "Apply a change of coordinates to get back to the basis for Ck[1]\n", + "\n", + "π_2(π_1(kernel)) = \n", + " [[1 0]\n", + " [0 0]\n", + " [1 0]\n", + " [1 0]\n", + " [1 0]]\n" + ] + } + ], + "source": [ + "### Project the kernel of b1 onto the cokernel of b2 by using change of basis matrix \n", + "### P2:C[k] -> \n", + "### Since cokernel is spanned by rows of P2 corresponding to the 0 rows of S2\n", + "### we are really only interested in those coordinates\n", + "print('Change of basis P2\\n')\n", + "print(P2)\n", + "print('\\nrestrict P2 to a projection onto the cokernel\\n')\n", + "print('π_1 = \\n', P2[rank2:,:])\n", + "print('\\nrestrict P2inv to Basis for Cokernel\\n')\n", + "print('π_2 = \\n',cokernel)\n", + "print('\\nCoefficients for projection of kernel basis on cokernel gotten')\n", + "print('by projecting the kernel basis matrix given above\\n')\n", + "coeff = hnx.logical_matmul(P2,Q1[:,rank1:])[rank2:,:]\n", + "print('π_1(kernel) = \\n',coeff)\n", + "print('\\nApply a change of coordinates to get back to the basis for Ck[1]\\n')\n", + "homgen = hnx.logical_matmul(cokernel,coeff)\n", + "print('π_2(π_1(kernel)) = \\n',homgen)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### If the resulting projection of the kernel contains dependencies. \n", + "Dependencies may be removed by applying reduced row echelon form to the transpose of the projection matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:23.809833Z", + "start_time": "2024-05-16T16:02:23.798127Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.251954Z", + "iopub.status.busy": "2024-04-03T19:17:14.251871Z", + "iopub.status.idle": "2024-04-03T19:17:14.254617Z", + "shell.execute_reply": "2024-04-03T19:17:14.254349Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.251946Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[array([1, 0, 1, 1, 1])]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## We apply reduced row echelon form to the transpose \n", + "## of this result to obtain a linearly independent set of basis vectors\n", + "homgen.transpose()\n", + "basis= [b for b in hnx.reduced_row_echelon_form_mod2(homgen.transpose())[1] if np.sum(b)>0]\n", + "basis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interpret the nonzero reduced columns in the data" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:24.209159Z", + "start_time": "2024-05-16T16:02:24.203831Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.255148Z", + "iopub.status.busy": "2024-04-03T19:17:14.255036Z", + "iopub.status.idle": "2024-04-03T19:17:14.257304Z", + "shell.execute_reply": "2024-04-03T19:17:14.256899Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.255132Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "basis_1 : [[('A', 'B'), ('A', 'D'), ('B', 'C'), ('C', 'D')]]\n" + ] + } + ], + "source": [ + "for idx,vec in enumerate(basis):\n", + " print(f\"basis_{idx+1} : {hnx.interpret(Ck[1],[vec])}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:24.483150Z", + "start_time": "2024-05-16T16:02:24.382770Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.257852Z", + "iopub.status.busy": "2024-04-03T19:17:14.257777Z", + "iopub.status.idle": "2024-04-03T19:17:14.314148Z", + "shell.execute_reply": "2024-04-03T19:17:14.313889Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.257845Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "drawhasc()\n", + "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", + "cycles = [('A', 'B'), ('A', 'D'), ('B', 'C'), ('C', 'D')]\n", + "hcycles = hnx.Hypergraph(cycles)\n", + "hnx.draw(hcycles,pos=pos,\n", + " edges_kwargs = {'edgecolors': 'red','facecolors':'red','linewidths': 0},\n", + " edge_labels_kwargs={'fontsize':0},\n", + " node_labels_kwargs={'fontsize':50,'color':'k'},\n", + " node_label_alpha=.1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Other solutions, shortest paths\n", + "Recall the elements of $H_k$ are actually cosets of cycles in $Z_k$ whose elements differ by elements of the boundary cycles $B_k$. If we compute all of the elements of $B_k$ we can add these to the representative cycle we found to obtain alternative basis, and to find the shortest basis.\n", + "\n", + "Given a basis vector $v_i$ of $H_k$ we find all elements in its coset belong to:\n", + " $$ \\{v_i + \\Sigma_{vb \\in B_k} a_k\\cdot vb : a_k \\in \\mathbb{Z}_2 \\}$$\n", + "\n", + "In our toy example this is trivial" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:24.796345Z", + "start_time": "2024-05-16T16:02:24.794166Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.314613Z", + "iopub.status.busy": "2024-04-03T19:17:14.314543Z", + "iopub.status.idle": "2024-04-03T19:17:14.316916Z", + "shell.execute_reply": "2024-04-03T19:17:14.316338Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.314606Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0]\n", + " [1]\n", + " [1]\n", + " [0]\n", + " [1]]\n" + ] + } + ], + "source": [ + "## compute a basis for B_2 = image of B[2]\n", + "print(P2inv[:,:rank2])" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:25.175746Z", + "start_time": "2024-05-16T16:02:25.166416Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.317673Z", + "iopub.status.busy": "2024-04-03T19:17:14.317584Z", + "iopub.status.idle": "2024-04-03T19:17:14.320927Z", + "shell.execute_reply": "2024-04-03T19:17:14.320575Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.317665Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[array([1, 0, 1, 1, 1]), array([1, 1, 0, 1, 0])]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## every element of the coset corresponding to basis_1 will be of the form \n", + "## basis_1 + alpha*boundary_vec for alpha in Zmod2\n", + "coset = []\n", + "for idx,vec in enumerate(homgen.transpose()):\n", + " if np.sum(vec) > 0:\n", + " for alpha in range(2):\n", + " v = np.mod(vec + alpha*(P2inv[:,:rank2].transpose()[0]),2)\n", + " coset.append(v)\n", + "coset" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:25.411669Z", + "start_time": "2024-05-16T16:02:25.406264Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.321464Z", + "iopub.status.busy": "2024-04-03T19:17:14.321392Z", + "iopub.status.idle": "2024-04-03T19:17:14.323834Z", + "shell.execute_reply": "2024-04-03T19:17:14.323395Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.321457Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[('A', 'B'), ('A', 'D'), ('B', 'C'), ('C', 'D')]]\n", + "[[('A', 'B'), ('A', 'C'), ('B', 'C')]]\n" + ] + } + ], + "source": [ + "## Let's interpret these in our data\n", + "for vec in coset:\n", + " print(hnx.interpret(Ck[1],[vec]))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:02:26.239098Z", + "start_time": "2024-05-16T16:02:26.129694Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T19:17:14.324371Z", + "iopub.status.busy": "2024-04-03T19:17:14.324300Z", + "iopub.status.idle": "2024-04-03T19:17:14.377492Z", + "shell.execute_reply": "2024-04-03T19:17:14.377178Z", + "shell.execute_reply.started": "2024-04-03T19:17:14.324364Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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s+/7CwHEgvWYuzCcmX0kVnFye8Hdg4J8z3mbHjpswm/dQWnoQr9eH17vA8HBiS0CS559/flVS3vvuuy81TXk+PT09Il2UoKAQ8hLkFeePvGKxGCqVDtCkEu8uicsHsoxaUlOtTKEhfZHHTDwCHAQ+DlwFfAoYXGd/94SHU5nrk6IFGB9PHz0oSRI1NV8CwGLZR0lJO/PzHnw+H2fPJgJUkvzkJz/h5MmV4f6f+MQn0l5XlmX+23/7b+vsvUCQuwh5CfKKpLwUBcLhpLzMTE5OEgqFUBQFlSSlxAVg1GpoM6xOXrsWTwN/BCwfq3QAnzvv2IUoi82hVeTFpLwJeQ0PP080mj7zRUnJHvT6pYwZVmstxcUtqSS/Z87AxOKynaIo/PjHP16RPupP//RPM/bl8ccfX0fPBYLcRshLkDcoipKa+kqMuuKL1YzjRCKRROYKRUEVDqfEpVGp2G+z0Tz383Xd199lOD4FfHcd11Gj4AiMo9FoiMViKIrC6dPfz3j+VVf9u1XHiooaKCpqZGZmhmAwyOnTsJgZC1mWeeaZZzh37hwAra2tGet4ud1u3nnnnXX0XiDIXYS8BHlDNBpNrRslgzX8fj+ynCgGqcTjEImgWozq06hUuCxmPuF5g92e9Pup0hEB1sq9sd4tv87QBBqNBkVRCIfnmZ09nfY8jUbHTTf9EdXV1avaioqasFrrmJmZIRwOceoUTE8n2uLxOD/60Y8YXVwU+8IXvpCxL2tl4xAI8gnNVndAILhYkjkBASKRGNPT08TjcbRaTWKkFQiAoqCQEFe5xcIXvS/zifHMm3vToQNKgPkM7c519ltNYi0L4OTJf0NR5LTnWa12Xn31TwAWS7Z4zztDIRSaZGLiXcxmEwMDasrKwGhMtL744ovU1dWl7isdb7/9NrFYLLUOJxDkK+IdLMg7otEoAwPHiUYXI+uWBWckKbdYuN/7Iv/e9zSU7Fn3fXwe+D9pjquBe9d5LVmjRZEVNBoNw8OvZDxvbm6MF1/8s3VefSXLq0qnIxKJ8Hd/93f8wR/8wWXdj0Cw1YhpQ0FeEY1G6erqwu/3I0lSIjgjGEyJSyVJWHU67ve+yJfnn0h/Eb0e6urgE5+ADOtDXwNuOu+YFvgroHmdfZZViT+zQOA4weD8Om+98fyf/5NOywJBfiFGXoK8IRgM0tXVtZi70AiyjCoSASmxxqVWqbDodPxG8FW+HHo284WuuAKuvRYMBlCrE9l9z8NAIlT+HeADwAzcAuy4hH7LkhpFURgbyyDTLHPq1CnOnDmTMZmvQJAPiJGXIC8IBoN873vfSyXdRY6Dz5d6A2tUKpxmM78VeZ0/XktcAAuLhScjETwlJaDVZjz1OuA/AL/BpYkLII4KWY4xO3vxQSObzX/9r/91q7sgEFwWYuQlyHmCwSCPPPII48kRUjwO7mmQTagkCbUkUW6xcJ/neX439OMLX3BoCAYHYX4ejh9HiUbJHOJw+ciSisnJZzMm4d0Knn32AoIXCHIcIS9BTpMU11gytUQ8ntilGzMAoFerKdIbE2tcC09d3EUDAVj88C6+wKkbgYyKiYmXM7Z/8YsPc8UVD17wOtFolN7e3hXFLAFkOcbMzNuAF7vdjk4n0dQEJhP87d/+bSqEfjler5cf/OAH3HPPPet+PAJBLiCmDQU5yypxRSIJcS0m49WoVOwoKuLfhY9mDs7IAWbDbrzesbRtOp3hosQFoNVqaWxsxGAwrDiuUmkoK/soimJmdnaWSEShtzcRx3LNNddkvN5f/MVfXPyDEAhyDCEvQU6SVlydnSlx6dUayi0WHvD18x8WXtvCnl6Yd89lnsrct+/6dV1Lp9PR2NiI9rx1OpVKg91+PbGYnvn5uZTA2tquzrin69ixY/h8vnXdv0CQKwh5CXKOtOLq6EgMJQCDRkODw8793j6+PH906zp6kZwYz9zHG27443Vfz2Aw0NTUtEpKKpUWu/16IhENCwseIhHo71exa9eetNeJx+P82Z9d3r4ygWCrEPIS5BQZxbW4zmPQaGgvL+dTU8N5Ia7vR6MEw/60bQaDlX37Pn5J1zWZTDQ0NKyqnqxW67HbP0YwCF7vAuEw7Nz50YzXeeSRRy7p/gWCrUbIS5AzXEhcxXo97eXl3Dg+zp0jxzNfKIf46/OCK5ZTVXXdZV3barVSV1eXKAGzDLXagN1+Az5fDJ/PR1lZEzqdPu01xsfH+eCDDy6rHwLBViDkJcgJLiSuEoOBB9vauHF8nE+eTp/YNteYVxQ6Fqc609HcvDqD/HopKSmhtrZ2VT5DjcaIw3EDXm+EQCCAy1Wb8Rpf//rXL7sfAkG2EfISbDkXI64vtbdTduxY3ogL4M9CIeTFDPfnYzbbKSmp2ZD7sdls7Nu3b9VxjcaMw3E9Hk+A3bszj/Jeey23A14EgnQIeQm2lIsVV8nRo2jz7EP2u2tOGX6cNZK/rxun05k23ZNGY8XhuIF4vBiDwZL2tqFQiH/8x3/cuM4IBFlAyEuwZaxHXLySORt7LvJuPM5kJH31ZkmS2L//CGxwXo/Kykp27ty56rhGY8Vu/yilpZlHen/913+NkmGUKBDkIkJegi2hkMUF8PU1Rl1FRTvQ60s35X537NiRtpKyVltCQ8PvZLzd8PAwTzzxhBCYIG8Q8hJknUIXl6wovLFGoMauXbcBrFk08lKRJIk9e/bgdK4umVlS0oDFkr6UpqIo/N3f/R1vvvmmEJggLxDyEmSVQhcXwD9EIkTi8bRtKpWKvXvvAzZHXsnr7tu3D5vNtqpt585PZrxdd3c3R48e5Z133tmUfgkEG4mkiK9ZgiyxJeLSaGDPHgiHIbY1Wd3/4XcG+VXvIKFQaMXx0tJSGhoaNu1+ZVmmr6+PhWQJmGWEQpN4ve9SVmZDpVLhdMK+faSCSK699to18yIKBFuNGHkJssJ2GHFlQlap007FbdbIK4lKpaK+vh6LZXWUocHgwmI5yMzMHIqiMDUFy3ch/OxnP+O9997b1P4JBJeDkJdg09nO4gJQMsgrG2g0GhoaGjAajavajMZKzOZ2ZmdnURSFyclEqbMkb731FseOHctibwWCi0fIS7CpbHdxAcjS1oy8kiRLqej1q1NEmUw7MBhamJtLjMDGx+Hs2aX21157je7u7qz0UyBYD0Jegk1DiGsRlTrt4WzJC0Cv16ctpQJgNu9Gp2vE45lHURRGR2FkZKn9pZdeoq+vL2t9FQguBiEvwaYgxJVAljL/iWVTXgBGo5HGxsa09b0slr2o1bV4vYngjnPnIPnSATz//PMMDg5mq6sCwQUR8hJsOEJcS8iqhCi2ctpwOWazmfr6+lWZ6AGs1hokaS9erxeAM2dgfHyp/bnnnuPkyZNZ6qlAsDZCXoINRYhrJYqUmDLMpR0pRUVF1NXVpZWn1VqHouzA70/UIBsagsnJRJuiKPz4xz/mzJkzWeytQJAeIS/BhiHEtRp5cYSTfuSV7d4sUVpaSm1t+jIpRUWNxOPlBBezhJw6BW53ok2WZZ555hmGh4ez1VWBIC1CXoINQYgrPWuPvLbQXkBZWVnaUioAVmsT0aidcDixsfrkSZiZSbTFYjF++MMfMjo6mq2uCgSrEPISXDZCXJlRMkQawtaseZ2Py+Viz57dq45LkoTV2kIoVEokEkZRYHAQZmcT7dFolKeffpqJiYks91ggSCDkJbgs8kVcW7XiJK8x8soFeQFUVlZRVVW16rgkSRQVtREKFRONRlICm5tLtEciEX7wgx/gTs4pCgRZRMhLcMnki7hkJD6o+NSW3LeSYYNyrrFr1y5cLteq44kRWBvBoJlYLIYsw/Hj4PEk2kOhEE8++SSzySGZQJAlhLwEl0Q+ietx5+fot7Rtzf2vkRoqV0ZekOhLdXU1drs9TZsKq/UKAgED8XgcWYaBAUjm+w0GgzzxxBPMJYdkAkEWEPISrJt8Etff2g7zpvlqzqTJrJ4NFEmVF/KCRH9qamooKSlJ05YUmA5ZlonHEwLz+RLtfr+fJ598Ek9ySCYQbDJCXoJ1kU/i+p+2I/zI9BFGFryE5S3qR44HbJyPSqWirq6OoiLrqjZJUmOxHMTv1yDLMrEY9PXB4pYwvF4vTz75ZGqTs0CwmQh5CS6afBPXD03XMeXzE5PlNdM0bSaKSpM3I68karWa+voGzGbzqjZJUmM2HyQQSEyHJgWWLBzt8Xh46qmnUpucBYLNQshLcFHko7gmfT7iioICyBrdlvRHIfO0YS6TLKViMBhWtalUGkymgwQCiccWjUJPz5LAZmdneeqpp1KbnAWCzUDIS3BB8kVcChL/y/FrK8QFgFqNXFq6JX3Kl4CNdOh0OhobG9HpVotfpdJiNB4kGJRSAuvthWSx6OnpaZ566qlV1aMFgo1CyEuwJvkkrh/X/h4/Nl+/SlxYLciq1aVAstKvNULlc11eAAaDgaamprSlVFQqLXr9FYTDiXW9SCQxhRgOJ9qnpqZ4+umnCScPCAQbiJCXICP5Ii55UVxvl32SUa93pbjMJpAk5C1KxSSnyd6eJA/cBSRKqTQ0NKBWrw4+Uav1aLVthMOJBxMKJQQWiSTax8fH+eEPf0g0Gs1mlwXbACEvQVryR1zw0I5DvF32STonJ88TlxkW5WG0Fm1N/6TMARtbndtwPVgsloylVNRqA2p1K9Fo4vEEgwmBJX01OjrKM888QywWy2aXBQWOkJdgFfkkrv9p+zAvFH2IzslJIvF4ouE8cRkMBvbs278lfQyEI8jyFsXpbzDFxcXU1tamne7UaExIUguxWKItEEgILOmrs2fP8uMf/5h48jUSCC4TIS/BCvJNXD807ePU3NySuDSaFeLS6/W4XC4k9daseUViMgMDA2kFlg9rXudjs9moqalJ26bRmIFmYrHEc+/3Q38/JF+a06dP85Of/KRgZC7YWoS8BCnyRVwK8PieJn5o2sekz0cs+WGo0yEVFa0Ql9PpQpLWzu6+mciSCq/Xi9vtXjXqyEd5ATgcDvbu3Zu2TaOxAI3E44nXwOtdKbATJ07w/PPPC4EJLhshLwGQX+L6cW0tr5aWr4wq1OnA5Vo14kqu0ShbtElZXhRUJBJhampqxbpPvsoLoKKigl27dqVt02isQCOynHh8CwuJVFJJXw0MDPDyyy/n5f43Qe4g5CXIO3G9XVZGv3t6SVwaTUJcajWSJK0WlwKySrMlfY5LSyO+WCy2QmD5LC+AqqoqKisr07ap1VagKSUsjyeRjT75e09PD6+99poQmOCSEfLa5uSLuABin/oUb5eV0Tk5SVReFpxRWpr4FzCZTCvEBYlaWls3bbhyn1c8HmdycpJIMpY8j5Ekid27d+NyOdO2q1RWJKkZRUlIem4OTpxIfJkA6Orq4p133hECE1wSQl7bmHwSF7ffzkRtbfqowkVxFRcXs3PnzlXh3IqibN20YZo/MVmWmZqaKoj8f4lSKvsoKyvL0G5FkhpJbguYmYGTJ5cEduzYMd54443sdFZQUAh5bVPyTVzu+noe7epaEpdWtyKqsLi4mNbW1rQbaRPy2pqRl6TRph1ZKIrC6dOnC6KIoyRJ7N+/n+Li4gxnFKFSNaWE5XbD6dNLAnv77bd5++23s9JXQeEg5LUNyUdxPdTZiT+561WnA7s9JS6z2ZwSV6Z1JHmL5GUtLsFisaRtUxSF48eP43a7s9yrjUelUlFfX4/VurqUCoAsW9FolgQ2OZkQWJJXX32VX/ziF1noqaBQEPLaZuSruHzJNaI0UYXV1dWpEVc6eSmKsmZdrc1EUWvZt29f2uzskpRIanvixAnGx8e3oHcbS6KUSj0mkyltezxehE63JLCpKTh3bqn9xRdf5L333stCTwWFgJDXNiLvxWWxpKIKYSkcPt1U4XK2MmBDkVSoVCrsdnvGD3WAoaEhRkZG8j54QavVZiylAhCNFqHXN6V+Hx+HM2eW2n/yk59w7NixTe6loBAQ8tom5L24rFZoaUmJq6jIuiqqEDKFnytbNm2YLIkiSRI2my3jFCLAuXPnOHPmTN4LTK/X09DQkDYTPUAkUoTB0JR6nGfPJn6SPPvss3R3d2ejq4I8RshrG1AQ4mpthcUPw0SOvbq0SWLTTxsCWzbyWgqVlySJkpISioqKUr+fz/j4OKdOncp7gRmNRpqamtBo0u+vC4WKMJuXRmBDQzA8nPi/oij88Ic/pK+vLxtdFeQpQl4FTiGKK1NUIay98VfegnD586McJUmiuLiYkpKSjLeZmpri+PHjeZ9CyWQyZSylAhAIFGGxNKR+P3UKRkcT/5dlmR/84AcMDg5mo6uCPETIq4ApNHHt2rVrTXFB5oAN2JosG5mmK61WK7t37854u9nZWfr7+/M+C7vVaqWuri7jlwqfr4iiotbU7ydOJNbBILGh+4knnuD08rBEgWARIa8CpdDEtXv3bj7/+c9fMDgjHUl5bcVeL0WVuZKy3W5f84Pd4/HQ19eX94UcS0pK1nycCwulFBe3pH4/fjwRSg+JlFqPPfYYZ5cvigkECHkVJIUorvvvvx+dTnfBy2Vc82LtqsabhSypMspLkiTKysoyFnkE8Hq99Pb2Eg6HN7Obm47NZmPfvn0Z2z2eMkpKmlO/DwwkNjMDRKNRvvvd7zIyMrLZ3RTkEUJeBcZ2FhesPW2YayOvZF9LS0tpbGzMGNwQCATo6ekhGAxuWj+zgdPpZM+ePRnbFxaclJQkgjgUJVHMcmYm0RaJRHj00UcLYj+cYGMQ8iogtru4YO2Aja3Y67VWiP7yvhYVFdHU1JQxvDwcDtPT00Ng8bXMVyorK9m5c2faNlmW8XrLKS1NBHEoCvT2JhL6AoRCIR555BEmk3OKgm2NkFeBIMSVINPIS6UCWatPlE/J5o9WiyQpqNVS2h+VitSP1WqmtbUZk0mf9lxZjtHf34vf711xu3z72bVrB5WV5ajVq1+reDyOz1dFSUkdkCih0t0N8/OJ9kAgwMMPP8z09PS63heCwmNrihwJNhQhrswoikIsJgMKisEIcf1lX3Nd6PSo1aDVrv6eqNGk9lynsFiMtLU1MzAwQDAYSnNBmZMnB6it3U9RUcmmdHnzkaip2YtKJTMx4V41rRqNxggGd1FSEmd+/mRKYG1tUFQEfr+fhx56iF/7tV/DZrNt0WMQbDVCXnmOENdKzh95yTK43WHm5hTiw2OwkN1F/+COBWZKY0xMrBbRjh2Jl2s1eioqGunu7sLr9aW97thYFw0NDTgcjo3tcNaQKC2tZmwsiCyvDkYJh6Oo1TUUF8fxeIaIx6GrKyEwqzURyPLQQw/x67/+62tksxcUMmLaMI8R4lpNumlDWYZ4XEGJKxCLZfVHViRiMYV4fPWPokjIMml/1Gotzc1tWK3FaW8bi8l0d/cyOjqe8Rq5/gMqGhqaMm7YDgRCxOMNFBfvARJPaVcXJMugeTweHnroIbxe7yW/XwT5i5BXniLElZ41M2zkcMBGOjQaDa2trdjt9oznHD9+nOFkXqU8RKVS0dzcnLGUis8XAJopKkoEeUSj0NmZepszOzvLQw89VBCFPQXrQ8grDxHiykwmISTKomxBhg2V5oKh8muhUqloamrC5XJlPOfUqVMMDQ3lbT7EpKQzZd33eHyo1QewWquAxNu9sxOSOwemp6d5+OGH834rgWB9CHnlGUJcl8ZWVVNea5/XxSJJEvX19VRVVWU85+zZs5w8eTJvBabVamlra8tYSmVubgGD4SoslnIAwuGEwEKLS4mTk5M88sgjhELpglwEhYiQVx4hxHVh1h55bc204eWMvJafW1NTs+Ym39HRUQYGBvI2oa9er6etrS3j+8HtnsNiuRaTKRGkEgolBJZMPjI2NsZ3v/tdIumjYAQFhpBXniDEdXGsJa9cG3mtR17J8/fs2UNNTU3GcyYnJ+nt7c3bhL5Go5HW1taM2UYmJmaw2T6O0VgGJKYOOzuXojaHh4f53ve+l/f5IAUXRsgrDxDiungKKWAjEzt27KC+vj7j7WdmZuju7iYWi13S9bcai8VCS0tLxnyPIyNTOJ2fwGAoBRJ/Bp2diWAOgDNnzvD9738/bx+/4OIQ8spxhLjWR6EFbGSivLycpqamjB/w8/PzdHZ25u0UWnFxMc3NzRmfo7NnJ6isvA29PrHHy+9PhNEnfXXq1CmefPLJvB2BCi6MkFcOI8S1ceTitOHlYrfbaWlpyVgmxuv10tHRkbdBDDabjYaGhoztQ0Pj7Nx5OzpdIsze600ILOmr48eP84Mf/CBv1wAFayPklaMIcV0ahRqwkYnS0lLa2toyJvQNBAIcO3YsbxP6Op1Oamtr07YpisLp0+Ps2XMHWm0izH5hIZFKKimwvr4+fvSjHwmBFSBCXjmIENelU8gBG5koKiqivb094/MbDoc5duwYPl/6VFO5TmVlJdXV1WnbZFnm1Klx9u27G43GCCSS+Pb2JrN4QFdXF88991zebiMQpEfIK8cQ4ro8tkPARjrMZjNXXHEFRqMxbXs0GqWjowOPx7Nh95lNdu3axa5du9K2xeNxTp2aZP/+e1CrE4mXZ2dXCuyDDz7g+eefFwIrIIS8cgghrssnnwI2NhqDwcCBAwcwm81p22OxGJ2dncwkKzzmGXv37qWysjJtWzQa5fRpN3V196JWJ95vMzPQ379USfvdd9/llVdeEQIrEIS8cgQhrs2lkKcNl6PT6Whvb6eoqChtuyzL9PT0MDU1teH3vdlIksT+/ftxOp1p28PhMENDs9TV3Ytq8YuK2w0DA0sC+9nPfsYbb7yRpR4LNhMhrxxAiGvjyJeAjc0QV5JkqqXS0tK07Yqi0NfXt/R+yyOSqbIy1fEKBoOcO7dAff29SItfViYnYXBwSWBvvvkm77zzTra6LNgkhLy2GCGujSVfAjY2U14AarWalpaWNet9DQ4Ocu7cuU3tx2aQTFacqY6Xz+djdDRIQ8M9SFLiI258HE6eXDrnlVde4Ze//GU2uivYJIS8thAhro0nXwI2NltekPiQb2xspKKiIuM5p0+f5tSpU3m3DpSUs8ViSdvu8XiYmIhRV3cXkHiuR0fh1Kmlc1544QXef//9LPRWsBkIeW0RQlybQ74EbGRDXsn7qa2tZefOnRnPGR4eZnBwMO8EliylkinCcnZ2ltlZNXV1d5AU2PAwDA0tnfPcc8/R0dGx+Z0VbDhCXluAEFf2ybVpw2wiSRL79u3LuFcKYHx8nL6+vrzbzKvT6Whra0Ov16dtn5qawus1sX//p1PHzp6F5bOlzzzzDD09PZvdVcEGI+SVZYS4NhcRsJGZXbt2ZcxWAeB2u+np6cm7fIAGg2HNLCNjY2OEwzZqam5LHTt9GkZGEv9XFIWnn36a/v7+bHRXsEEIeWWRnBdXURF85CPgcOSluEAEbFyIyspKGhsbM97/7OwsXV1deZeR3WQy0dramjHP47lz55DlCqqrP5E6dvIkJP8UZVnmqaee4sSJE9normADEPLKEjkvLosFPvtZuOMO+PrXmT54MO/EBRcI2NgCeW1lwEYmnE4nzc3NGTPSezweOjo68i4jvdVqXbOUyunTp9Fo9rJnz8dTxwYHYWIi8f94PM7jjz/O6dOns9FdwWUi5JUFcl5ckBh1ORwwP4+/sZGfTEzknbhABGxcLGVlZWuOVHw+H8eOHcu7jPQlJSU0NTVlfH4HBwcxGuvZteu61LHjxyG5ZzsWi/HYY49x9uzZbHRXcBkIeW0yeSEuSMyfyDK+q67ixTfeIKpS0XzTTZh37Mgbca2FoigoW7DmlQsBG5koKSmhvb0941pRMBjk2LFj+P3+LPfs8igrK6O+vj5j+8DAAMXFB9ix4xogsXm5vx+mpxPt0WiU733ve4yOjmaju4JLRMhrE8kbcUFijUur5aFHH2VybIy9V1yBq76eunvuQb+4lyYfxLXmyGuLpg1zceSVxGq1cuDAgYzReuFwmI6ODrxeb5Z7dnm4XC7279+ftk1RFHp7e7Hbr6Gy8kOLxxKJfJNpH8PhMI888gjj4+PZ6rJgnQh5bRJ5J67F4Az39DSRcJgprxfFbkej16NSqfJCXHCBgI0cGnnlirwgEexw4MABTCZT2na9XqGzs4P5+fnsduwyqaqqYu/evWnbkjkeKyo+Rnl5O7AksLm5xDmhUIhHHnkkL/NAbgeEvDaBfBVXco1rzuNhXqNhbmGBwcFBnE5nXogLRMDGpWIwGGhvb1+VsaKuzsptt5XT2mqlp6eL6eTcWp6wa9cuduzYkbYtFovR3d3Nzp0343Q2A4kSKj09kKwcEwgEePjhh/M2E38hI+S1weS7uJLBGZMzMxw7dozi4uK8EReIgI3LIZmRPpkz0OHQc/BgKQaDmsZGI1VVBnp7e5mcnNzinl48yQ3a5eXladsjkQjd3T3s3fsp7PbEOlk8Dl1diarMkAheeeihh5hLDskEOYGQ1wZSKOLK9+CMdOTatGGukky5VFZWRigUx+OJYDTCyZMjzM5GUBSF/v7+vApmkCSJuro67HZ72vZQKER3dw/799+BzVYDLAksWXx6YWGBhx56KG+LeRYiQl4bRDAY5NFHH2ViYgKVSoUqFkPV3Y0qHEalVmMzm/nSFVdQ0tEBb7wBGs3W/dxxB+7GRh7p6SEQj6NSq1GVlKBqb0el1yNJUt6KSwRsXD5qtZqmpiaMRhvvvDPDe+95GBw04vUubVw+ceIEZ86cyRsxS5JEY2NjxjIxgUCAnp4+6uruoaQksU4Wi0FnJySDLefn53nooYfyLnilUMn+PEoBEgwGeeaZZwgGg5SUlEA0mkieVlQERUVY9XrubmiguLc3kdZ6z56t6+yNNzJbXc0zAwNobDZKILFBubY2NeIqLy/nzjvvzDtxgQjY2ChUKhUNDQ2cOHGCY8fS1/06c+YMsViMffv25fzjgcRjam5uprOzk4XknOAyvF4v/f3HaWq6j56e7+HxnCMaTQisvR1MpkQGkocffpgvfelLGStWC7KDGHldJsFgkKeffprx8XHi8TjxYJB4VxfxhQXi0SgmlYq79++nuKMDXnsNwuGt+/noR5nZtYsnu7rw+v3Eo1Hiej3xffuIq1TE43EqKiryVlwgAjY2kmTl4t27d2c8Z2RkhOPHj+fNCCxZSiWTeObn5xkYOEFz8xexWquAxOx/ZycEg4lz3G43jzzyCMHkAcGWIOR1GQSDQX7wgx8wMTGBLMvIoRBydzeyz4ccj2PRaDhUX09xZye8/npiHmKrfj7+cWb27uWJ7m58oRByPI5sNCLX1iKr1ciyTEVFBXfccUfeigtEwMZGI0kSe/fuZd++fRnPmZiYoLe3N28y0mu1WlpbWzEYDGnbZ2ZmOHlyiJaW+7FYEoEe4XBCYOFw4pyJiQkeffTRvMtAUkgIeV0iSXGlIq8ikcQmkcVvY0V6PZ9raqK4uxveemsLewp84hPM1NTwRG8vgWg0ccxigYaG1FRhVVUVd999d16Lay1ybdow39i5cyd1dXUZ26enp+nu7s6bhL56vZ62traM7/fJyUnOnh2lpeUBTKZENepQKBF/lYxvGh0d5Xvf+17e5YAsFIS8LgEhrtxFBGxsHhUVFWvmDZybm6Ozs5No8n2W4xiNRtra2tBo0o/IR0dHGR+fpr39CEZjGZD4E+/sTCxrQyJb/WOPPZY3j7mQEPJaJ0JcuY0I2NhcHA7HmpnbvV4vHR0dhJPzazmO2WxeM0HxmTNnmJqap63tMAZDCZCIPlwusKGhIR5//PG8GXUWCkJe60CIK/cRARubj81mW3PE4vf7OXbsWN4ENBQVFdHc3JzxNTl58iTz80Ha2o6g1xcBif1fXV2J5eTkOU899VTeFfLMZ4S8LhIhrvxABGxkh+LiYtrb2zO+f0KhEMeOHcOX3OWb45SWltLY2Jix/fjx4/j9cdrajqDTJVJoeb3Q3Z3Y0AyJbPVPP/103gSu5DtCXheBEFf+k2vThoWAxWLhwIEDGaP2IpEIHR0dafdU5SIOhyNjKZVkJvpwWEVb22G02kQSY48nIbCkr3p7e3nmmWcK9jXPJYS8LoAQV34hAjayi9Fo5MCBAxn3TcViMTo6Opidnc1yzy6N8vJyampq0rYpikJPTw/xuIG2tsNoNAlpz88nkvkmBdbZ2clzzz0nBLbJCHmtgRBX/iECNrKPXq+nvb0dq9Watl2WZbq7u3G73Vnu2aWxY8eOjBuz4/E4XV1dSJKV1tYHUasTddBmZ6GvL1FWBeDo0aO88MILQmCbiJBXBoS48pNcCtiQpcx/XoUkL0hs/G1ra0ukR0tDctotX4o77tmzh6qqqrRtsViMzs5OtFobra33o1Il/sampxMVmZO++tWvfsWrr74qBLZJCHmlQYir8NiKgI3k/RX6yCtJMiN9puztkAh8GB4ezmKvLg1JkqipqcHlcqVtj0QidHV1YTC4aGn5IqrF13pqCgYGlgT2zjvv8Oabb2ar29sKIa/zEOLKb3Jp2lBZHOltp2/eKpWKpqamjPWzAE6dOsXQ0FDOPy/JUiplZWVp24PBIF1dXVgsO2hu/jzS4us9OQknTiyd98Ybb/DOO+9ko8vbCiGvZQhxFQbpBLYVARuyKrO8CnHklST5oZ+pgjHA2bNnOXHiRM4LTKVS0djYmHE61O/3093dTXHxXpqaDiEtThWPjcHJk0vnvfLKK/zyl7/MQo+3D0JeiwhxFQ6Z5JVLI69ClhcsVTDes0b5n7GxMfr7+3N+X5Raraa5uTljQMrCwgI9PT3YbLU0NNwNJF7bkRE4fXrpvBdeeIGjR49mocfbAyEvhLgKjUxi2KqRVzoKXV6QeIx79uzJGHoOMDU1RW9vb85npkiu55lMprTtc3Nz9Pf343A0UV9/R+r4uXNw5szSec899xydnZ2b3NvtwbaXlxBX4ZFx2lAEbGwJO3bsoKGhIeNjnpmZoaurK+dzAyYjKvV6fdp2t9vN4OAgLlcbtbW3p46fOZOQGCTeCz/60Y/o6enJQo8Lm20tLyGu7cNWTRvm+ppOtnC5XDQ1NWVM6OvxeOjo6Mj58iLJUiraxb+58xkfH+f06dNUVBykpubW1PHTpxPTiJB4Lz799NMMDAxko8sFy7aVlxBX4ZJLARuZ5LWdRl5J7HY7LS0tGTO4+3w+Ojo6cr7Ao8lkWjMx8fDwMOfOnWPHjmuorr45dfzkyUQgByQ2bj/55JOcXB7VIVgX21JeQlyFTS4FbAh5raS0tJT29vaMI5dAIMCxY8cIBAJZ7tn6sFgsa5aGGRoaYnR0lF27rmPPnhtSxwcHYWIi8f94PM73v/99hoaGstDjwmPbyUuIq/ARARu5jdVqpb29PePaUTgc5tixY3i93iz3bH0UFxevWUrlxIkTTE5Osnv3x9i589rU8ePHE5uZIZGt43vf+x7nkotigotmW8lLiGt7kEsBG2LklR6z2cyBAwcwGo1p26PRKB0dHczPz2e3Y+vEZrPR0NCQsX1gYIDZ2Vmqq2+mqupqIJF9o78/kU4KEo/1u9/9LqOjo9nocsGwbeQlxLW9ybVpQwEYDIY1M9Ink+DOzMxkuWfrw+l0Ultbm7YtmdPR4/FQU3MrFRUHF48nEvkmk+2Hw2EeeeQRJpJzioILsi3kJcS1vRABG/mDTqfjwIEDFBUVpW2XZZmenh6mkvNsOUplZSXV1dVp25JZ9X0+H7W1t+NytS0eT5RSmZtLnBcKhXj44Ydz/rHmCgUvLyGu7YcI2MgvNBoNbW1t2Gy2tO2KotDX18dYMlQvR9m1axe7du1K25YcRQaDQerr78DhaAKWBObxJM4LBAI8/PDDOT/azAUKWl5CXNsTEbCRfyRTMDkcjoznDA4Ocvbs2Zyeit27dy8VFRVp26LRKJ2dnYTDERoa7qasrA6AeBy6uiAZn+Lz+XjooYeYSw7JBGkpWHkJcW1fRMBGfpJMgpvpwx8SIeinT5/OWYFJkkRtbW1GCYfDYTo7O4nF4jQ1HcJmS6TOisehsxN8vsR5CwsLPPzwwywsLGSr63lHQcpLiEtwPrk2bShIT/LDf+fOnRnPGR4eZnBwMGefW0mSaGhoyDgNmiylIsvQ1HQfJSV7AYjFEgLz+xPnzc3N8dBDD+FLGk2wgoKTlxCXQARs5DfJjPSZAiAgkYapr68vZzPSJ+uaFRcXp233+Xx0d3cDKlpavkBxcWKtLBpNCGzx44qZmRkefvjhnN+0vRVkdx5lk7lUcc0oCn8fDl/2/WsAmyRhV6lwSBLNKhWuDDvwhbg2DxGwURjs2rULjUbD4OBg2na3200sFqO5uTljyqmtRK1W09LSQkdHR9rRk8fjobe3l+bmZlpavkhn58N4vWNEItDRAQcOgMGQyLz/8MMPc+TIkYz74s4nEAjw0ksvrbvPkiSh0WjQ6/Xo9XoMBgN2ux2n05lxS8NWUTDyupwR1/F4nD/bpMVRg1pNuVbLAa2WPzYauUqtFuLaZETARuFQWVmJRqOhv78/7ReBubk5Ojs7aWlpyZhyaitJllI5duwYweRwahmzs7MMDAzQ0NBAa+uDdHY+hM83QTi8JDC9HiYmJnj00Uc5fPhwxswky5mamuKuu+7a0MdiMpnYu3cv9fX11NfXc/DgQa699lqcTueG3s/FUhDyyuWpwlA8zpl4nDOhED/0eikzmTg8PMz+cFiIa5MQARuFhdPpRK1W09vbm3aacGFhgY6ODtra2nLyb0an09HW1saxY8cIp5nhmZqaQqPRsH//flpbH6Sj498IBNyEQokpxPZ20OlgdHSU7373uzzwwANb8jgDgQC9vb309vauOF5bW8tnP/tZPve5z3HllVdmrT95v+aVy+JKx0wgwN++/jr/+bnnOOF2C3FliVybNhSsj7KysjUzufv9fo4dO5azGekNBgOtra0ZR4djY2MMDQ2h05lpazuM0ZgI9ggEEgJLfs89d+4cjz32GNHkgRxgcHCQb37zm1x11VXU1dXxT//0T1lZo8treeWbuJbj8fv553fe4dXJSSGuDUYEbBQmxcXFa2akDwaDfPDBB/iT4Xo5htlsprW1NeP63Llz5xgeHkavt9LWdgSDoQRIRB92diaiESGxXeCJJ57IyeKdg4OD/PZv/za7d+/mn//5nzc1oCZv5ZXP4kqiKArPv/gib7/9thDXBiICNgoXi8XCgQMHMq77RCIROjo6cnZ/lNVqXbOUyqlTpxgfH8dgKKat7Qh6fSJtls+X2Mic9NWJEyd46qmniMfj2er6upienubf//t/z9VXX71pNcvyUl7ZFJddp0OpqLioH095OYMuFz+12/laSQnXms3oMkxzLOe5556jublZiGuDEAEbhY3JZOLAgQOYTKa07clMFrmaoaKkpITGxsaM74Hjx4/jdrsxGktpazuMTmcBYGEBursTG5ohkbH+hz/84bpHNx/72McSX+bW+InFYni9Xqampujp6eGVV17h29/+Nr/7u7/Lhz/84YzTt+fz/vvvc/DgQZ555pl19fFiyDt55fKIq0iS2K9ScZtWy18ajbxzzz2MfeMbfLKpCc0aobzxeJwvfelL2etogSMCNgofg8FAe3s7Vqs1bXs8Hqe7u5vpZN2RHMNut1NfX5+xva+vj9nZWUwmO21th9FqE6L2eBK5EJO+6unp4dlnn93wtVW1Wo3FYsHhcNDU1MRNN93Eb/7mb/IP//AP/PznP2d2dpbHH3+cT33qUxlHkUkWFha45557+P73v7+hfcwreeWyuFaxLBz+k3V1/O4NN6BbI5T3gw8+EPV8NpFcmzYUXD7JKL6SkpK07bIs09vbm7NlRlwuF/v370/bpigKPT09eDwezGYnra0PotEYgEQW+uUC6+jo4Cc/+UlW32tWq5XPfe5z/OQnP6G3t5fPf/7za54fj8d54IEHeO655zasD3khL0VRmJub4zvf+Q69vb2Mjo5yanCQU2++yejUFDOBAEgSd9TX55y4kuHwVVVVfHGNF1hRFP73//7f2ephQSMCNrYPGo2GlpYWysrK0rYrisLAwAAjIyNZ7tmFURSFsrIy7HY7Pp+Pubk5pqenmZ2dZWFhAZ/Px9GjR1lYWMBqraC19QHU6sRa3+xsoh5Y8u31/vvv8+KLL27Jl6X6+noee+wxnn/+ecrLyzOeF4/HOXz4MGfOnNmQ+83pfV5TU1N0dHQwMDDA0aNHl3apx+PgdqfiR/UaDWadjv7nn8d59uwW9pg1NyA3a7U4XngBt9ud9qZvbbV0CwQRsLG9UKvVNDU1cfz48aVZmfM4efIksViM3bt3b+lzrygKMzMzjI2NMT8/jyzLKIpCJBLJGGQyOjrKvn372LlzJw0Nh+jrexxZjjI9najI3NAAkgS//OUv0Wg03HTTTVl+VAluvfVWfvWrX/GpT31q1V6wJHNzczz44IO8/fbbl31/OSevWCzG4OAgnZ2djI2NEY1G6e/vX1NcTQ4H101N8bEcFlcyHP7KK6/kpz/9adqbi2nDjWGtDydZUqFSspMPb62RnpDXxqJSqaivr0ej0WT8Ozpz5gyxWIx9+/Zl/fmPRCKMj48zNja2aqOyJEmUlpYiy3LaNFLxeJzTp08TCATQ6XSYTFcxN/cWWq2aqSlQqaCuLiGwd955B61Wy+7du7P10Fawa9cuXn75ZT784Q9zNsPn8TvvvMP3v//9C041XoicmTZMzvH+8z//M88///wKcS34FwjpQ/iMC3g4x7TLw2S1n5maAPoGDU2es3khrqqqKu65556Ml0iXPkawfjKNvICsBm2IgI3sIkkSNTU1a35wj4yMcPz48axNr8XjcQYHB/nFL37B0NBQ2gwbkOh7WVlZxgjKWCzG5OQk0WgUn09LNFrHxMQU0WiUiQk4cWLp3Ndff533339/Mx7ORVFRUcHTTz+9Zrqu//yf//Nlh/nnhLyi0SgvvvgiL774YuoDPBqN0jHYwbB2mLHKMdz2Keb0oyyUBggWx5DNCsV2IzeMurlzcIvLZq8jV2GmSqvARYefCtZP8sNKyeK6l7LGmpdgc5Akib1797Jv376M50xMTGRMNbWRBAIBPvjgA8bGxi7qfSBJEg6HA4PBkLY9Go0yOTmJLMuYTDuwWq9mfHwCv9/P2Bgs3071zjvvbNTDuCSuuOIK/viP/zhj+5kzZy47fH7L5TU7O8v3vve9FXOkE7EJXpl4hdNFp/FZfCjIiW3mi282jUqFw2Lm7hM+jnR5tqrrCdaZZHetqcFcy9qcr6w98sqevGSx5rVl7Ny5k7q6uozt09PTdHV1bVqWiqmpKY4ePbrubB8qlQqn05lxz2ckEmFqagpFUTCbd2OzXYvbPc3MzAzDwwqnT29E7zeGP/zDP8Rut2ds/9a3vnVZ19/Sr/onT57k+eefJxKJABAnzmBskIHpASIkjiErSOEApio1uiIdJouW5l1Obnp9hhs680tckAhrzcRWzVMXGmvJK1dGXkJem09FRQUajYa+vr60r8P8/DydnZ1r5hxcL4qicOrUqYuKbjQYDLhcLoxGI0ajEYPBgE6nIx6P4/V6U5lCgsHgipyNoVAIt9uNw+HAYqkGZKan3yESiSDLTgwGNRlmH7OK1Wrly1/+Mn/2Z3+Wtv2NN95gdnY2Y9HOC7Fl8hodHeW5555LzXsGCNAX72N4ephINCEurUWD2RbB7DTRPhSmvTtMjS/GzsE+imYuv/7WZXGJZU3W2ufw8Y9/fFO7vF1YM2AjyyOvTAh5ZQeHw0Frays9PT1p11i8Xi/Hjh2jra3tokqNrIUsywwMDDA1tfYyRllZGZWVldhstrTvA41GQ2lpKR/5yEdSyYYjkQherxefz4eiKAQCAWZmZigrK8NiqUFR4szM/ILJyUnU6nJqai7roWwYv/Zrv8af//mfp/3yEI/H+elPf8oDDzxwSdfeEnn5fD5eeOGF1ANy4+ZE/AST7kki0QgqjYrSg8XYY/Pc+IsAn3zYR9VUDiWhvAxxZcrzpVar+cpXvrLpXd8OiIANwXJKS0tpa2vLOE0YCARSArvYYo/nI8syfX19a2b0sFgsNDY2poIyFEVhfn6e+fn51OgqHA6j0WgwGAwYjUYqKys5d+4ckJBeaWkps7Oz+Hw+fD4fKpWK0tJSrNY6olEPCwt9TE/Poii5sX6+d+9e2traMs44vf766/kjL1mWefrpp1NzwfPMMygPMuWeIhKNoCvRUXZ1CTe8PcxvPTaNMZxjC96XKK4L7UK/9tprKSoq2tSub3cURcmZaUNBdikqKuLAgQN0dnamlimWEwqFOHbsGK2trVgslnVdOx6P09vby+zsbMZzKioqqKmpQa1WpyIHR0dHCYeDxOOr3yPLQ+ZlWcbr9WIymdBqtdjtdgwGAzMzMywsLKBSqSgpKaG09CDhsBufz40k5U5hzk984hMZ5XX06NFLvm7WAzbeeOON1A7rMGFOKCeYmZ0hEo1g3mOm8iOl/Pa/neA//Zu7YMT1jW98gyuuuCLj4q1er+epp57a9O5vFzKNahL5DUXAxnbFbDZz4MCBjNF8yYz0Hs/Fr6UncyhmEldy/1ldXR1qtZrZ2VneffddxseHqK/X8elPu9i927TsektZM5Zfw2AwMD4+zvz8PIqiYLFYUmt68/PzBAIBJEmNw3EDKpU+p5ISX3311Rnbent7M24fuBBZHXmNjo7y1ltvoVKpUFA4yUlmvbMEg0EM5QZ21Jn5xn/rYf/Zy1zPqq1NbGIeGtqYjsNFictut9PW1sYbb7zBm2++ydtvv82777675oujVqt54okncDgcG9fXbc5a8sqVkZeQ19ZgNBo5cOAAXV1dab9MxmIxOjs7aW5uvmAgQSwWo7u7O6Ps1Go1LS0tlJSUoCgKZ8+eTX1xr6620tCgJhyOUF5u5Re/CBCNLolLo0n8WCxgNie+4DocDiYnJwmFQjgcDnQ6HS6Xi7GxMaanp6moqECrNeNwXM/o6A8v63naSFpbWzO2xWIxzp49S21t7bqvm1V5/exnP0v9f5hh3CE38555NCYNtitL+Y9/2Xv54qqrg1tvJRiJYHz3XbiMYSnAdCSCND4ODz98ef1KQ2lpKU8++eSWpXMpVETAhmAt9Ho97e3tdHd3p03JJMsy3d3dNDY2ZvxSGY1G6erqwuv1pm3XaDS0trZSVFSUyq+4PHXVyEiEmppSDAYVanUYSVKhLMv8EoslfkKhRB7DoiIoLjbicDhwu92Mj49TXl6emkZ0u9243W7Ky8sxGqswm6sv81naOKqrq1GpVBn31Y2MjFySvLI2bej1ehkYGAAgQoRxZZzZ2VkklUTZh8s49MOzfKhnA0pHt7cj6/UEtVqorLz8620CTqeTr33ta0xNTQlxbQJrTxuKgA0BaLVa2traKC0tTduuKAq9vb2Mj4+vaotEInR2dmYUV/LayTXskZGRlLgUJZkVPsyvfuXh9ddneeGFaSIR0GpNGAyl6HRWVMvep7IM8/MwOQkGgxmbzUYsFsPtdi/u9zJTVFREJBJJjQItlhwJNyQxAl1rZulS0+Jl7S/56NGjKfOOM04wFCQWj2GttdI+vMB9P9qgLBnvvYfKaMQmSfDzn2/MNTcIk8nEf/gP/4E/+qM/yljGQbB55NK0oWDrSU7rrRUlePz4cWKxGDt37gSW1sUCgfRftLVaLe3t7amEA/Pz85xe3DmsKIm0rMmbvveeB72+CKu1hl27HEjS0lgikazXy8LCKH7/FKAQCsHYGFRUWAmHw/j9fubm5rDZbJSWluL3+/F6vRQXF6PVZg7+2oo0dMkpz3Rk+hJwIbIy8orH46moEgWFccbxeX0ggXmfmfseH0GzUZlaTp+GH/4w8TMzs0EX3RgCgQB/8Rd/QVlZGddff33GzMuCy0MEbAguFpVKRVNT05qlPE6dOsXp06dTEYmZxKXT6Thw4EBKXMl9X8n3gMezJC6QKC3dR3n5ASwW1wpxQeL9odcX4XA0UF7eniqFkshLLmGzlaHVallYWCAcDiNJElarFVmWL5jVI13y380mU5AMXLpMsyKvkydPpuw6zTTeiJdINIKx0sieqQDNJzb4m4DHkxhn5yiyLPP222/T0tLCb/7mb251dwoOEbAhWA+SJFFXV8eOHTsynnP69GlefvnljOLS6/UcOHBgRWLdmZmZVGaMUGjlR5LT2Uxx8c6Leh8YDMVUVh5MFaMMh8HjUaVqmCXX7ZJVpb1e75oj/uXZOrLFWvvnLlVeWZk2HB4eTv1/ggn8Pj9F+iIs1RZufepUNrpwyWi1Wj5SW4uhogLUiQ8+i8WSCn09n4WFBWZnZ5mYmGBgYIDx8fGM+dMUReH//t//y1tvvUVXV1fGfGaC9SECNgTrRZIk9u3bh1arZei8KOVE5vYJ4vE4oVAIu92+4vUzGo20tbWtGl0sX8tZLq6Skr2YTOmLZ2ZCrdbhcDQxPv4BoOD1QnGxHp1Oh9/vx2azoVarMZvN+P1+IpHM7694PE40Gt2wlFgXw1o5JNN9jl4MWZHX8j0HAQKEwiFKzCUY7Vqu/+X8uq83C7wHSMDVQPEG9TMdGrUae20tdQ0N2Gy2tPu41kKWZf72b/+Wv/mbv2FsbCztOcePH6etrY3e3l5Uqi3PlZz3iIANwaUgSRK7d+9Go9FwYrHGSCQSYXJyMpVayu/3I8syDocDlUqFyWRKm1oqGAwyv2isaDQx8gLQaIwUF6evLBEIDOD3d6PVuiguvm7VVKJeb6WoaAcLC8MoCvh8ianCmZkZfD4fxcXFmEymRXmt3oi9nPn5+axuz1lrtHepWU2y8kmZlJeCQogQsVgMjVlD2XQIc3B9C9r/CnwI+DXgS8BB4PuX2b81eyBJKJLE8ePH0el06xIXJObUf//3f5/R0VF+53d+J+OH1sDAAF/84hfX13HBusilaUNB7lJVVUVDQwORSCQ14lpOMBhkcnISo9FIe3t72pyIy/d+LV9islorV30GxOMBensP8d57DfT1fY7Ozo/x3nsN+Hzdq65rtS5FUPt8S5UokntJk6OpC9XKyvYm5rXW2fJCXmHCxOU4siyjMqlwjq8vNP4l4OvAcocHgD8AfnEZ/VvrO7AiJT58rFYrkUhkxRToevlf/+t/8Yd/+IcZ25944okNKY+93Ul+OBiNaiwWDTpd4m2u1ytQUgxZmp4VARv5i9FoTHzZyfD6XehLyfKRxvJBkNm8erRz8uR/YHp6ZYadYHCQnp5PE4+vDL7Qao3odIn0VdEoSJIKlUqVmpZL1gS8UKmX+SzHBExMTGRsW6tsylpsurxCoVBqQS5IcOlJNmsoH1/fQt2/ZjguA//vMvq4FoqkIDklGhoaAHj22Wc5derS1+n+8i//MmOdIUVR+N3f/d1LvvZ2QqvVYrEY0OtXz9tLkkRJiZZbbnFx++0V3HSTkx07DBw8qMb8hTvgrruy0kcRsJGfeDweOjs70ev1uFyuVa+VXq+nvLycYDCYyvp+PsuPLXlESkUNLrXNMzn5UNp+hMPDTE8/veq4RrM0UonFEsKKRqMoioJKlZBZLo28vF7vmuHwawXKrMWmy2t5dE6ESOpJVRvVlMyvL1P82UtsuxwkJORqmVl1IneZLMuXLbB//Md/zNjW1dV1WaO77YBWq+VDH2rh9tuv4OabW1IjqySSJGEwqCku1qJWS1itGiwWLWazBAY9lK1vsfxSEQEb+cfc3BydnZ2pzymDwUB5eXlqLTpZgyv5e1Jg50chLl9zSnpErdatet1DoWEUJfPnYDC4urqkRrMkwHg8EfCw/EuSWq2+oLzWWyTzcujr61uzPbmHbr1suryWh47q0KUiS+LBOPMl61s8X6tU42aVcZRUEpJK4iQnceMGLl9gN99884rnZTmKovDP//zPl9zf7cBaZScgIYZgMI7HEyUeVzh9+iR+fwy/X0aOxOD48az0c62ADUHuMTs7S3d396o0RsmRltVqxel0rgqqCofDHDt2bMXoYvm6eDKYLh6PrHo/GAw7kaTMn4NG4+o0T7HYUgo9tTqxvrVcivF4/IIRfNms2t7V1ZWxraSkhMpLzIS06fJK1qUBMGJcmpP1x5ioWN9C3W9kOK5ao+1yUakTT1EykfBGCWz//v0Z21599dVLuuZ2obi4mPff7+a55z7glVe6iURW73D3eKK8+OIkzz03TleXieHhIO++G8XzxEuQpXVFMW2YP0xPT6cVV5KKigpuu+22jB/60WiUjo6O1FrS8rB5TcpNCvH4ytytGk0JLteRtNfU63dit9+96ngstrTcotEk1re0Wi2SJCHLMrIsX1BemdJibQZvvvlmxrYrrrjikq+blYCN5BOlR49apU4kaQzITFWsr1b1J4E/A5bvpjAB3wSu2aC+no9KLeFqcwEbK7C1vm2cv89EsJpoNIrPFyIcjq5qS4ohGIzj88VScgsGFWL+0MoV9E0kU8CGEFduMTU1RW9vb8YvGg6Hg6amJkwmEwcOHMhY7ysej9PV1cXMzMwKeS2PD/L73atuV1PzDzgch1YcMxpraW7+CWr1SllGo0EikUTknlYLipKQ1fmBGhrN2rNa2UpPpygKr7zySsb2q6666pKvnVV5SUgYMKDRaIj5Y8zYDfiN6/tD/g3gfeA7wEPAB0DmEo+Xj84fpeFg5YYLbK09Fpl28QsujlzPsCHklTtMTEzQ19eXUVwul4vGxsbUVKFOp6O9vZ3i4vS7S2VZpqenZ8Wa13LXeb1jq+5LrTbR2PgEV17ZT2PjE7S1vcWVV/ZjsbSsur7Xu7RX1GJZWrtKhutHF8s15crI69VXX82Y0xDgtttuu+RrZ1VeACZMGPQG5JhMcDrKW9eUrPt6NuAW4BPAZtcelmSFQ1/4wYYLbK21kAttMBSsTa5n2BDyyg3GxsZSlS7SUVFRQX19/arXK1nuJFO9L0VROH36dOpvXKuF5EAsFgvi8ZxLezuTqR6H4xAlJR9dtUEZIBz2srAwAoAkgcWipNbZkqPB5BffC+1FzdbI61/+5V8ytpWVlXHttdde8rWzIq/l0STllGO2JIbCvtM+XvhUbpYtWU551+SGC8ztXj19kERk2bg8cj3DhpDX1jMyMsLg4GDG9qqqKmprazO+Vmq1mubmZpxOZ8ZrBAKBVOXj5a6Ynx8iEFhf0vB4PILb3UsypYLVCtFomEgkgtlsTkUY+v1+dDrdmvJSq9VZSQ3V19fHk08+mbH985///CWnhoIsyaumpiaVNNKOHavOik6rIzgW5IzTRM/+S9thnU02WmBr1bBZKwOz4NLJlWlDwdZy7tw5Tp48mbF9586d1NTUXPBLhkqloqGhIeP6tclkwufzMTc3h16/UmBTUz14PMMX9f4IhTyMjR0lFkvsHdProbhYZmaxakayblhyFGa1Wtfse7Y+X37v934vYwCMJEn8zu/8zmVdPyvyUqvVHDx4EEise1VQgcVqAQX8p/w8ft8OYnkw2NhIgSVzp6UjmznHCpFcL4kiRl5bg6IonDlzJlVfKx27d++murr6ol8jSZLYv38/u3atzlcoSRJ2u52FhQVmZmYoLlZY2iGjMDd3iomJY/h8kyuqKCf7Ggp5cLv7mZjoSEUpqtXgcCjMzs4QjUYpKipCr9ejKIkpRJVKdcEw+EwBJxvJt771LV588cWM7bfffjv19fWXdR9ZU8bBgwdT02EVVGA0GNGoNXgHvXTsLOLxOzMPv3OJjRDYc889t2aiygMHDmx8x7cRImBDcD6KojA0NMSZM2cynrN371727t277tdHkiSqq6uprl69J8tgMFBaWorP52NqaoqyMpnlsR7h8ALT0/2cO/cOo6PvMjHRydjY+wwP/4yJiWP4/ZMkpwoNBqioUPD5PPj9fvR6fSqeYG5ujng8jtVqRaVSEYksZOzvpeYSvFheeOEF/uN//I8Z27VaLd/85jcv+36yJi+r1ZoyrQ4dFVIFNpsNRVaY+cUMT961m/eb1xc6v1VcrsC++tWvrnn9w4cPb3iftxNrBmxkUV4iYCM3UBSFkydPcu5c+kAJSCxt7N59eakOdu3aRW1t7arjRUVFmM1mgsEg4+NjmM0RnM5EIMdSH2Wi0QCh0ByRiA9ZXsq6oVJBSQk4HDKzs27m5+fRaDQ4HA4kScLv97OwsIBOp0sFYvj9madFN5Pvf//73HnnnWvmVvzDP/zDtM/TesnqZN3yyJKd7MRhcFBSXEIsEGP2vTn+/j/VM1yeHzWtLlVgv/u7v7vmlGJRUdFlhY8KRMCGYAlFURgcHFxzjbm2tvaS8+udT2VlJY2NjSte4+T0YUlJCbFYjPHxcaJRD+XlccrLwWxOiGz520KjSYy07HbYsUNBpwswPj5GIBDAYDBQUVGRymk4PT2NSqVKySwYHMXvzzw1uhl4vV5+67d+iy9+8YupDPfp+OhHP8qf/umfbsh9ZlVeVVVVXH/99UBi7auGGmxWG0ajkdBEiLEzQb7x35sZrlxdYiAXWa/AfvM3f3PNvIYAX/nKVza939sVRVFQsrjmJQI2thZFUVIFYTNRX19/yemJMuF0OmlpaVkRNZxIFl2Syos4NzfHyMgIPt80FksQlyvGrl0KO3fC7t1QWSlTWhomFptndHSEqakpYrFY6hrJ6MKpqSkURcFut6PVaonFfLjdb23o41kLr9fLN7/5TWpqavj2t7+95vt9//79PPHEExfcQH2xZO9r6CI33HADIyMjzM/Po0fPfmk/EVsEt9uN97iXYUniG3/azH//k152jma/XPV6SQrsycfuAWCyczIlMABb3Mabb77Jn/7pn66o8ZMOp9PJn//5n296nwudNUdeWZ42FCOvrUGWZfr7+zNuSZGkRKWItULdLwebzUZbWxs9PT2pjcOQWG+qqqrC5/Ph9Xrx+XypWleSJKFWq1MpnpKoVCqKioqwWq2pEHdZlpmcnCQajVJaWorJZEJR4rjdbyLLYUpLS1ljsHlZTE1N8dprr/Hss8/yox/9KFU1ZC1qamp4/fXXKS8v37B+ZF1eKpWKe+65h+9///ssLCxQQgn7VPvACZ55DwsDCwwD3/iTJv77n/Sxc3R9ZVM2moAs8401gisAePcsvg9/m7OfrWV8aA7POQ+hhRAvTb1EwBO4YIZnSCxiPv/882KP1wawZsBGDoy8hLw2F1mW6evry5jAWZIkGhsbNz2qt7i4mA996EP09vaysLAUQLFcRuFwmFAoRDQaJRaLEY/H0Wg0qR+9Xo/RaFzxuZAUVywWw+VypQIw5uaOEg67sVgs2GyZP9qnp6f50Y9+tGbf4/E44XCYYDDI1NQUExMTnDp1ip6eHs6eXV8Nj1tvvZVHH32Usg2u5pB1eUEio/Gtt96a2sBWTjmKpDBUOoROr2P2+OyiwBr573/ax86RrRNYIBbjzy6m9s3cHPz1yCXdh0aj4cknn7ysJJWCJXIrYGP1Phchr80jHo/T29vL7Oxs2naVSkVTU9OGf5BmQq/X097ezunTpxkZWfn5kCjdY1jXvitZlpmamgIS62vJKTiv9zgLC33odDrsdhs1NQu8lWH2sLe3l7uyUNPOYrHwJ3/yJ/ze7/3eprznt+xrflVVFbfcckvq9woq2MteTCYT5eXlxIfjjIyG+MZ/a2R4R+5vYr5UnE4nb7/9NnfcccdWd6VgEAEb25N4PE53d/ea4mppacmauJbfb01NDa2trZeVlklRFObn51OfkUviOsHMzC/QaDQ4nU5qa1VkYStXRnQ6Hb/+67/O8ePH+f3f//1Ne79vycgrSbI68U9/+lMgITCAIc0QNpuN+HyciNPM/+9/HOD/85+PbekIbKNRqVR87nOf47HHHtvqrmwbcmXaULDxxGIxuru7M64rq9VqWlpaspbTLx02mw2bzYbf72dsbIyJiYmLWlJI3tbv91NaWrpCBj7faWZmfo5araa8vJzqag2VlbBYmSWr7N69mwceeICvfOUrVFRUbPr9bam8YA2BMYRarSZ0KoTtykoef2IfDz74Y1yn5reqqxuCxWrhigNXcPPNN2OxWDh16hT79u3b6m4VFCJgY3sRjUbp6urKWGo+mUg3mUZpqzGbzezfv5/q6mp8Ph/BYJBQKEQwGCQSiaBWqzEajalaiGazmZMnTxIOh1e8d/z+s0xPv41araK8vJw9ezSk2Se9aej1eq688kquv/567rjjjssqb3IpbLm8YG2BAYy9N4YkVfGDH9zHfYeepOxE+mmBXEEtSWhUKrRqFXqHhaKqEixlFiqaK7C6rNRQgwlTKoz+s5/9rBDYBiICNrYPkUiErq6uVMTe+Wi1WlpbW1O5VXMJtVpNcXFxxvIqsBTuf37UZCAwwvT0m6hUEi6Xi927tdTULLVfd911/P3f//0l9UulUqHX61PBImVlZTidTlwuF9XV1dTX11NfX09LS0uqFMtWkBPyggsLbPTdRNzn408e2nCBfUSjQdmkYe5Es4snH7uH/qNjq8LoHTiEwDaB3ArYWI2Q18YQDofp7OzMWP9Op9PR1taW1ZL3G0lyg/X59bCCwTHc7teRJCgvL2fXLh3LC7N//OMf52Mf+1jBT1nnVFx2Q0MDn/rUp1K/J4M4koy+O8rA8Rkef/IQM/vT19LJNTajnIpgbUTARuETCoXo6OjIKK5klF8+i+vkyZOrNliHQhNMTb0GyLhcLnbs0FFXt5Sd46Mf/WgqEUShk1PyAiEwIbDNI1emDQWXRzAYpKOjI+PmWIPBQHt7OyZTfuRKPZ9kMcvzU1qFw24mJ18B4rhcLqqq9DQ0LInrmmuu4cYbb9w2X45yTl4gBCYEdnmIgI3CJRAI0NHRkbEqg9FopL29fdMzp28mZ86cYXh4eMWxcHiGycmXgThOp5PKSgONjUvi+tCHPsQtt9yyrd5bOSkvEAITArt0RMBGYeL3++no6MiY+NVkMtHe3p7XxVzPnj27KoNFJDLH5ORLyHJkUVxGmpsT2eYB2tvb+fSnP73t3lc5Ky8QAhMCuzREwEbh4fV66ejoIBKJpG23WCy0t7dvafTb5TIyMsLQ0NCKY9Goh8nJF5HlME6nk/LyleJqbm7ms5/97LZ8T+W0vEAITAhs/YiAjcJiYWGBzs7OFQlul2O1Wmlra0Ony49ySukYGxvj5MmVNbiiUS8TEy8Sj4dwOByUl5toaUlUU4bEZ+Ndd921bfOh5sWjFgITAtsIcmXaUHDxzM/P09nZmbG4YXFxMW1tbals6/nI+Pg4g4ODK47FYj4mJ18kHg9gt9txucy0tibqfEGivMg999yDWp2993OukRfyAiEwIbCLRwRsFAZzc3N0dXVlTKFUUlJCa2vrhtWH2gomJyc5fvz4imOxWICJiReJxXyUlZXhclloa1sS1969e/nc5z6X1497I8gbeYEQmBDYxSECNvKfmZkZuru7V9S1Wo7NZqOlpSWvRx5ut5uBgYEVx+LxIJOTLxKLebHZbLhcVtraEpWWAXbt2sUXvvCFvB5pbhR5JS8QAhMCuzC5ELAhS5n/tIS81sbtdtPT05NRXHa7nebm5rwW18zMDH19fSu+3MTjYSYnXyIa9VBaWorTWURbGySX8qqqqrj//vvzem1vI8k7eYEQmBDYpZHNgI3k/YiR1/qYmppa9aG+HIfDQWNjY14HKczNzdHb27viMcpyhMnJl4hE5igpKcHpLKa9HZLBk+Xl5TzwwAN5HU250eTtO0AITAgsE7kwbagsjvBEwMbFMzExsaa4XC5X3otrfn5+1XSoLEeZnHyZSGSG4uLilLiS29WcTieHDx/O643Xm0H+vgsQAhMCy0w6gWUzYENWZZaXGHmtZmxsbNX6z3IqKiqor6/P6+duYWEhjbhiTE29Sjjsxmq14nSW0NYmkfRUWVkZhw8fzttUV5tJXssLhMCEwNKTSV65MPLK5w/gzWBkZGRVqPhyqqqqqK2tzevnzev1roqcVJQ4bvdrhEITWK1WXC4bbW0SyVzCpaWlHDlyBMtWlkXOYfJeXiAEJgS2mkwfdNkeeaUjnz+EN5qzZ8+u2py7nF27dlFTU5PXz5nf76erq2vFXrWEuN4gGBzDYrHgdCbElfRUUVERR44cyZkCmrlIQcgLhMCEwFaScdpQBGzkBIqiMDQ0tCod0nL27NnD3r178/r5CgQCq7KDKIrM9PTbBALDmM1mnM4yWlslkvUyLRYLR44coaSkZGs6nScUjLxACEwIbG2yPW0ogjXSkyz5cX4C2uVUV1ezZ8+evBZXMBiks7NzRT5GRVGYmfkZfv8ZTCYTTqed1laJZDFlk8nEkSNHKCsr26Je5w8FJS8QAhMCS5ALARuZ5JXPH8iXS7LI4vklP5ZTU1PDrl27stirjScUCtHZ2bkiA35CXL/A5zuF0WjE5bLT0iKRHGAZDAYOHz6Mw+HYmk7nGQUnLxACEwLLjYANIa+VJMvan19kcTm1tbXs2LEji73aeMLhMJ2dnStqjimKwuzsu/h8gxgMBlwuB01NKmyLHz96vZ4HH3yQ8vLyLep1/lGQ8gIhsO0uMBGwkVsoisLAwMCqsvbLqa+vp7KyMou92ngikQidnZ0rqjwrisLc3FG83n70ej0ul5PGRhV2e6Jdp9Nx//33U1VVtUW9zk8KVl4gBLadBZYLARti5JVAlmX6+vqYnJxM2y5JEo2NjXk/6ohGo3R2dhIIBFYc93g6WVjoQafT4XK5aGhQ4XQm2jQaDV/4whfyfpp0KyhoeYEQ2HYW2PnkyrThdkKWZXp7e3G73WnbJUmiqakJZ/LTPE+JxWJ0dXXh9/tXHPd4upmf70Cn01Fe7qK+XkXS0Wq1ms9//vPs3bs3zRUFF6Lg5QVCYNtRYCJgY+uJx+N0d3czMzOTtl2lUtHS0oI9OX+Wp8Tjcbq6uvB6vSuOLyz0MTd3FK1Wi8vlorZWTXJWVKVScejQIWpqaragx4XBtpAXCIFtN4GJgI2tJSmuubm5tO1Jcdls+fG3lonk41xYWFhx3Os9zuzsu2g0GlwuF/v3q0nGoUiSxD333EN9ff0W9Lhw2DbyAiGw7SQwEbCxdcRiMTo7O5mfn0/brlaraWtro7S0NLsd22CSU6LnP06f7yQzM79Ao9FQXl5OTY2G5JKWJEnceeedNDU1Zb/DBca2khcIgW0XgYmAja0hGbRw/kgkiUajoa2tjeLkrtw8JSmu2dnZFcf9/iGmp3+GWq3G5XJRXa1hz56l9ttvv522trbsdrZA2XbyAiGw7SKw88mVacNCJRKJ0NHRsWrtJ4lWq6W9vT3v8/UpikJ/f/+qtbxA4Bxu91uo1SrKy8vZu1dLdfVS+2233cbBgwez3NvCZVvKC4TACl1gImAju4TDYTo6OlZF2yXR6XS0t7fnfYb05H6186MnA4ER3O43UKkkXC4Xu3drWR6LcfPNN3P11VdnubeFzbaVFwiBFbLARMBG9giFQnR0dKza35REr9fT3t6OOVnrI09JZgg5f79aMDiO2/06kpSoeLxrl479+5fab7jhBq677ros97bw2dbyAiGwQhWYCNjIDsFgkI6OjhUZJZZjMBhob2/P+2KKyZyM52cICYUmmZp6FZBxuVzs2KGjrg6SL/F1113Hxz72sex3eBuw7eUFQmCFKDARsLH5BAIBjh07tiKH33KMRiMHDhzI+/L1ySz45+dkDIfdTE29AsRxuVxUVelpaFgS19VXX81NN91UMK93riHktYgQWOEJ7HxyZdqwEPD5fBw7dmxFuY/lmM1mDhw4gF6vz3LPNp6zZ8+uyoIficwyOfkyihLD6XRSWWmgsXFJXAcPHuTWW28V4tpEhLyWIQRWOAITARubh9frpaOjY0WBxeVYLBba29vR6XRZ7tnGc+7cOc6cObPiWCQyx8TEi8hyBIfDQUWFkeZmUC1+mra1tXH77bfn/euc6wh5nYcQWGEITARsbA4LCwt0dnauKGm/HKvVSltbG1qtNss923hGRkY4ffr0imPRqIfJyZeQ5TBOp5OKChMtLUviampq4o477sjr1zhfEPJKw3YW2HPPPbfqDzYfEQEbG8/8/Pya4iouLi4YcY2NjXHy5MkVx6JRLxMTLxKPB3E4HLhcCXGpF1/q+vp67r77blQq8bGaDcSznIHtLLDnn3+ewcHBrezqZSMCNjaW2dlZurq6iMfjadtLSkpobW1Fo8nO87uZTExMrHr/x2I+JidfJB4PYLfbcbnMtLZC8uHW1NRw7733olZn58uRQMhrTbarwOLxOE8++WTeC+x8cmXaMN+YmZmhp6cHWZbTtttsNlpaWgrig3tqaoqBgYEVx2KxAJOTLxGL+SgrK8PlstDWBskB5t69e7nvvvsKQtz5hJDXBdjOAnv88cfzVmAiYGNjcLvda4rLbrfT3NxcEOKanp6mv79/xbF4PMjk5ItEowvYbDacTusKce3atYsvfOELBTFVmm8IeV0E20lgpzjFNNNAfgtMBGxcPpOTk/T19WV8HE6nk8bGxoJY45mZmaG3t3fFY43Hw0xOvkw06qG0tBSns4j2dkgGUVZVVXH//fcXRFRlPpL/77ossZ0EdprTTJJIgZOvAltLELK0+W/7tUZ4+SCv8fFxjh/vJ5OXysvLaWhoKAhxzc3NrRKXLEeYmnqZSGSW4uJinM5i2toguW2tvLycBx54oCD2seUr+f/OyyJJgalUKlQqFVWqKvap9qFWqVGr1Ey8P8Hg4BxPPnkfM/XOxGpujv+U981w6IFnaDq4g4r2CtQqNQoKxzme1wLLNPICshK0kc8BG6OjowwNneDDHy7j1ltdlJSsnBKrrKykrq4u5x/HxeDxeOju7l4xLSrLUSYnXyEcnqaoqAins4S2NkgmCnE4HDz44IN5nzkk3xHyWidJgWk0GtRqNTvUO9iv3o9WrUWr1uL+wM2pkws8/fh9zDaWJ76q5fhP+eA89/76T2i+YhcVrRXE4jFkRWaAASaZXNzPUpH3QRxJmShZWPdS1ljzymWGh4c5ceIEzc1F1NVZcLkMfOQjZWi1CVHt2LGD/fv3F4S4FhYW6OrqOk9cMaamXiUcnsJqteJ0ltLeLpFMzWiz2Th8+HDeJxkuBER4zCVQV1dHJBLhRz/6EYqioEePFSsnOAHAxCsTTId24fm3j3Hkk4/i6J/e4h5fGNeZM3z21mEeef6LTAY0yO8l/qBj5TGq9ldRoilBq9Xy+OOPc99991FbW7vFPV6btUdemy8vOQ/XvM6ePcvQ0BAAs7NBzp2bZs+e/YRCMrKcCE7Yu3dvzvZ/Pfh8vlWh/4oSx+1+nVBoAovFgstlo71dIumpkpISjhw5gtVq3aJeC5YjRl6XSEtLC3feeWcigk2WKZfLqZarictx4nKcobeG6Oqd5DsvfRH3/hKIxXL+p/LdYR785MM0f7iKyisrAagorcCn8+GVvSiKkjdTiGvJa6tHXrn24a8oCkNDQylxAZw5E2ZoqIjubg+/+MUMO3fuLhhx+f3+VZutE+J6k2BwFLPZjMtVRmurRLL8WFFREUeOHMn7CtCFhJDXZdDS0sLdd9+d+oOuoor9LBXyOff2OXp63XzntcO4G+xb1c11UXl0nCOffJRPXHc1X7zri4zOjnJu+hwD3gH63H1AfqyBrRmwkaWRVyZySQCKonDq1CnOnj27qu3UqQC/+tUsFRW72bNnT071+1IJBAJ0dnauyMuoKDLT0+8QCJzDZDLhctlpbZVIFny2WCwcOXKE0tLSLeq1IB1CXpdJQQrMX8w9jwZpqt3HDVddw/un3ufl7pd5z/9e3gRxiICNC6MoCidOnGBkZCTjOfv372fXrl1Z7NXmEQwG6ezsXJEJX1EUZmZ+ht8/hNFoxOVy0NIikRxgmUwmDh8+TFlZ2Rb1WpAJIa8NoOAEplJRNOGn9dEu9s1NUdJcTDgaRkFJBXFA7gssHYqibPm0YS6gKArHjx9nbGws4zl1dXVUVVVlsVebRygUorOzk3A4nDqmKAqzs7/E5zu1QlzJAZbBYODBBx/E6XRuUa8FayHktUEUlMD6+uCFF7C+/h7Vf/l9aq6yp9bA8kVgmUY3ifyG2ztgQ1EU+vv7mZiYyHhOQ0MDFRUVWezV5hEOh+ns7FxRNFNRFObm3sPrPY7BYMDpdNDcrMK2uEVTr9fz4IMPFsxzUIgIeW0gBSWw99+Hxx6j/JUejnzyUVo+vCOvBLaWvLZ65LWV8pJlmb6+PqamptK2S5JEY2MjLpcryz3bHCKRCJ2dnQSDwdQxRVGYn/+AhYU+9Ho9LpeTpiYV9sU/Sa1Wy/33318wo85CRchrgykogS2SDOLIJ4GJgI3VyLJMb28vbrc7bbskSTQ1NRXMNFk0GqWrq4tAILDiuMfTicfTjU6nw+Vy0tCgIvmQNRoNX/jCFwpmna+QEfLaBITAtl5ga08bbr+AjXg8Tnd3NzMzM2nbVSoVLS0t2O358X68ELFYjK6uLnw+34rjHk838/MdaLVaXC4X9fVqyssTbWq1mvvuu4/q6uot6LFgvQh5bRJCYFsvsHTkwrRhtkl+kM/NzaVtV6vVtLa2YrPlR07OC5EUtdfrXXF8YaGPubmjaLVaysvLqatTU5l4G6NSqbj33nvZv39/misKchEhr01ECGzrBCYCNhIkxeXxeNK2J8VVUlKStT5tJklxnf94vd7jzM6+i0ajweVysX+/mh07Em2SJHH33XfT0NCwBT0WXCpCXpuMENjWCEwEbCTWfDo6OlhYWEjbrtFoaG9vL5isEck1vfn5+RXHfb6TzMz8Eo1GQ3l5Ofv2aVi+pHXHHXfQ3Nyc3c4KLhshrywgBJZ9gW33gI1IJEJHR8eqNZ8kWq2W9vb2gsnTl4yinJ2dXXHc7x9ievpnqNUqXC4Xe/dq2LtUyYjbb7+d9vb27HZWsCEIeWUJIbDsCmw7B2yEw2E6Ojrw+/1p23U6He3t7ViSifvyHEVRGBgYYHp6ZQLsQOAcbvdbqNUqysvL2bNHy759S+233norH/rQh7LcW8FGIeSVRYTAtj6IIxemDTeTUCjEsWPHVoWHJ9Hr9Rw4cKBgSnokxXX+vrVgcBS3+w1UKgmXy8WuXVpqapbab775Zq655pos91awkQh5ZRkhsOwIbDsGbASDQY4dO7Yik8RyDAYDBw4cKJgiisncjJOTkyuOB4PjTE29hiSBy+Vi504dtbWQfNo/9rGPcd11121BjwUbiZDXFiAEtvkC224BG36/n2PHjq3I3bcck8nEgQMHMBgMG37fW0EyG/75uRlDoUmmpl4FZFwuFzt26KmvXxLXtddeyw033JD1/go2HiGvLUIIbHMFtp0CNnw+Hx0dHSuypS/HbDbT3t6OXq/f0PvdKpL1x87Phh8Ou5maegWI43K5qKzU09i4JK6rr76am2++ectzSwo2BiGvLUQIbPMElssBGxuJ1+ulo6NjRX2q5VgsFtrb29HpdJvel2xx9uxZzp07t+JYJDLL5OQrKEoMp9NJZaWBpqYlcV1xxRXceuutQlwFhJDXFiMElt0gjkKaNvR4PHR0dKyoCLycoqIi2tvb0Wq1G3J/ucC5c+c4c+bMimORyDwTEy8iy2EcDgcVFUaamkC1+OnW2trK7bffLsRVYAh55QBCYBsvsFwN2NioD9D5+Xm6urqIx+Np24uLi2ltbUWj2fxRZrYYGRnh9OnTK45Fox4mJ5fEVV5uoqUF1IsvcVNTE3feeScqlfioKzTEK5ojCIFtrMByNWBjI+Q1Ozu7prhKS0sLTlxjY2OcPHlyxbFYzMfk5EvE40Hsdjvl5WZaW5fEVVdXx9133y3EVaCIVzWHEALbOIHlasDG5cprenqa7u5uZFlO215WVkZLSwtq9eY/xmwxMTGx6r0Ri/mZmHiBWMyP3W7H5bLQ2gpJX9fU1HDo0KGCeh4EKxHyyjGEwDZGYLkasHE58nK73fT29mZcS7Pb7TQ1NRXUSGNqaoqBgYEVx+LxIJOTLxKL+bDZbDidFtraILm0t2fPHu67776CGnkKVlM47/ICQghs84I4tnra8FKZnJxcU1xOp7PgxDU9PU1/f/+KY/F4iImJF4lGFygtLcXlKqKtDZLBlDt37uSLX/xiQQWpCNJTOO/0AkMI7PIEVkgBG+Pj46s+xJdTXl5OQ0NDQUXTzc7OrpJ1PB5mcvIlotF5SkpKcLmKaWuD5Pa1yspK7r///oLaFiDIjJBXDiMEdukCK5SAjdHRUY4fP56xvbKykrq6uoIS19zcHD09PSueP1mOMDX1CpHILMXFxbhcJbS1QTJhiMvl4sEHHyyYDCKCCyPkleMIgV2awNYM2MiCvDYiYGN4eJgTJ05kbN+xYwf79+8vKHF5PB56enpWBKTIcpTJyVcIh90UFRXhdCbElUzR6HA4OHz4cMHkbBRcHEJeeYAQ2PoFlu8BG2fPnuXUqVMZ23fv3s2+ffsKSlxer3fVFgBZjjE19Rrh8BRWqxWns5T2dgmTKdFus9k4fPhwwWTJF1w8Ql55ghDYxgRxKIqCkoU1r0sN2FAUhdOnTzM0NJTxnL1797J3796CEpfP56Ozs3OFuBQljtv9OqHQOBaLBafTRlubRNJTJSUlHDlypGAKagrWh4glzSNaWloAePrpp1EUhSqqADhBYmrp3NuJfG/fee0wv3bjwzj6p9NfKIdICuyhlx4AYOy9sZTAAFy4UgK78847L/q6yz/YVaql3yVJQdFolzYEbRYaNSqVglq9UjAajYpMAYGJhLOnGB0dXXW7JPv2VbNjx86N7u2W4vP56ezsXJHmKiGuNwkGRzGbzbhcZbS1SSQ9ZbVaOXz4MMXFxVvUa8FWI+SVZ2xngT355JPMzc1RVlZ2wWsmZaVSgcOhR6NJGMNmU6Hd4YDpPZvzYBax2I04JAmdbmUAgdGop6Rk9fmKonD27BCx2Azl5emDDvbs2Y3LVb4Jvd06QqEgg4P9xONLiYUVRWZ6+h0CgXOYTCZcLjstLRJFRYl2s9nMkSNHsNlsW9RrQS4g5JWHbFeBybJMT08Pzc3NwNoCWxppSWg0KmRZIR5XiMUU4lEFMtS92igicYloVCYaXZkJQ6tVOD+rU7I2ldvtzni96upq7HbXqtvmM6FQiP7+PhQlvvh6KSiKwszMz/H7hzAajbhcDlpapJTwTSYTR44cwW7Pj6lxweYh5JWnbEeBlVGGoij09PSwY0crUJrxWuevB8XjSupHViTIkIl9o5DREIuFicdXrnvJssTyzE6yLHPy5Emmp9O/PpIkUVNTg8PhIENGqLwkHA7T09NLLBZBq02MihVFYXb2l/h8JzEYDLhcDpqbJUoXX2aDwcCDDz6I0+ncwp4LcgURsJHHbNcgjmT590AgsO7rZ22fl6QC1g7YkGWZwcHBNcVVW1uLw+HYhB5uHZFIhN7e3hVVnxVFYW7uPbze44victLUpCI5Q6zT6XjggQeoqKjYol4Lcg0hrzxnOwnsOMfx4QNAlhWmpqYyCmzNUPks7fNKF2yY7JcsywwMDDA7O5v29pIkUVdXd1Hre/lENBqlr6+PUCi04rjHc4yFhT70ej1Op5PGRhVJZ2u1Wu6//3527NixBT0W5CpCXgXAdhEYwDTTKYFBInGrx+NZdfs1M2xsYai8JEnE43H6+/uZn59Pe1uVSkV9fX3BBSQkxXX+Fw6vtx+PpwedTofLlRCXy5Vo02g0fOELX2D37t1b0GNBLiPkVSBsN4EFWPoAHBoaYmZmZsVt186wsflv+0z3Icsy/f19aYULoFaraWhooLQ083pePhKLxRgYGMDv96847vUeZ2GhH61Wi8vloq5OTfliQKVareZzn/sc1dXVW9BjQa4j5FVAFLrAKg4urXfMMUeESOr3np6eFQLLxQwb8Xic8fFxFha8aW+TFFeh7V2Kx+MMDPTj9a583F7vCebnu9BqNbhcLmpr1VQl4o5QqVTce++91NbWbkGPBfmAkFeBUcgCa766CmtlMpuCQoBASmDJKMTzR2CrUWALpg3j8TjT09OEw6G052s0GpqamihKbmYqEBLiGlglbJ/vNPPzx9Bo1JSVlVFTo2bn4t5rSZK46667aGho2IIeC/IFIa8CpFAF9uufeYxdO6zLBAYBAgQJAisFlnnkBXIW3vaKpErJKx6P43a7iUQiac/VarU0NTVhsVg2vV/ZRJZljh8/vmqK1O8/y9zcUdRqNQ6Hk127NOzatdT+2c9+NrUVRCDIhJBXgVKIAqv6YIK/ebSbXTusmF1LH/QePKkgjqTAMkXxZS1gY7GeVywWY2pqimg0mUFipVS1Wi3Nzc0Fl1g2uQ3g/KCUQGCY2dl3UatVOJ0Odu7UsDyI8NOf/jQHDhzIbmcFeYmQVwFTiAKrG/fxN492s7PchM66VHRweRSioigMDAxkDKPPVqh8LBbD7XavyNm3HJ1OR3Nzc8GV8lAUhZMnT676AhEMjjIz80tUKgmn08GOHVr27Flqv+WWW7jyyiuz21lB3iLkVeAUqsD+8Zn3cVlVawos3T6wbFVS9ocjjI+PrRJX8nUwGAwFK65Tp06t2ngdCk0wM/OLlLiqqrTs3bvUfuONN/LhD384y70V5DNCXtuAQhRYg3uB73a/gsuqwli2JIDz94G53VOEQsHU79maNuwdOE40mn7EZTQaaWpqKriqv8lyLlNTUyuOh8NTTE//DEkCh8NOZaWO6mpILkteeeWVXHfddVvQY0E+I+S1TShEgbX6Zvhu9ytUOTQrgjimmcbP0n6imZkZgsGloI5spIcKZxCXXq+nqakJvV6/6X3IJoqicObMGSYnJ1ccD4encbvfBmTs9jIqKvTU1CyJ6+DBg1xzzTXZ77Ag7xHy2kYUqsC+/cr/YdcO7QqBzUgzRLRL0X3T09MEg8FFeWVjk/LqDBs6nY6dO3ei0+ky3Cp/OXfuHOPj4yuORSKzTE+/Bcg4HHbKyw3s378krvb2dj760Y8WVFFNQfYQ8tpmFKLAmmZG+JtH/3CFwBQUAqbAKoH5fN5ND9iIp/mz0uv1OBwOtFrtpt73VjAyMsLo6OiKY9HoPG73W8hyDLu9DKfTQF0dqUKczc3N3HjjjUJcgktGyGsbUogCqxsfXCUwJAiYgkS1S4UOh4dH8AbTbxTeKOLnyVGv12O321GpVAX3YT02Nsq5c+dWHItGF3C730SWI9jtdpxOI/X1S+Kqr6/nE5/4RME9F4LsIuS1TSl0gRVVLWaqkCBkCBJbFJgsy4yMT65xlcsnmddQURQMhiVxFRrj4+OcOXN2xbFYzIvb/SbxeJiysjKcTiMNDaBe9Pn+/fu57bbbCvL5EGQX8Q7axhS6wPT2xaAICYLGpRHYZtd0TK6pGY1G7HbHig/qQhlsTE5OMjQ0tOJYLOZfFFcQm82G02laIa7q6mo+/elPC3EJNgTxLtrmFLLAXA4ZnW0xOGJRYCF1aNPXvGQkysrKKCsrSzM1lv/2crvdnDp1asWxWCyA2/0GsViA0tJSHA4zDQ2gWcyBvHv3bj7zmc+gVm9+pKdgeyDkJShYgT368jdxOWQ0JUsC82q9BIiufePLRFFrqK2tTbumk+/rPDMzM5w4cWLFsXg8xPT0m8RifkpKSnA4LDQ2QjI2ZceOHdxxxx1oNJufzV+wfRDyEgCFKbDWmTM89OrfYrfJaEuXovw8kn+NW10+kkaHJEkZi1HmK7OzswwODq44Fo+HmZ5+k2jUS0lJMQ6HlcZGSO4GqKys5M477yzIKEvB1iLkJUhRqAL7nz//f9htCtpSLYqiEN/kfV5Kmj1e+c7c3BzHjx9f8bhkOcr09JtEIh6Ki4soKyuisRGS+6+dTid33XVXwW3IFuQGQl6CFRSiwOrnRvj7n/0zjjIFo92w6fKSVZnllY8jL4/Hk0FcbxGJzFNUZKWsrJimJkhmvLLb7dx7770FlwJLkDsIeQlWUYgCa5wd4R/f/j+4nKC3bW4y3OW1vM4n3+S1sLDAwMAAsrwUoynLMWZm3iYcnsFqtWC3F9PcDMkcwzabjXvvvbfgkg4LcgshL0FaClNgw3zzpX+gzL656ZnWylqfT/Ly+Xz09/cTj8dTxxQlzszMO4RC01gsZuz2EhobpZS4iouLuffeewuuPpkg9xDyEmSkEAVWP3OWL7318Kbeh6LS5P3Iy+/309fXt0pc09M/JxSawmw2Y7eX0tgokfSU1Wrl0KFDWK3WDFcVCDYOIS/BmhSiwHbMjl74pMtAIfO0YT4QCATo6+tbUYtMUWRmZn5FKDSOyWTCbi+loUHCsljQ2mw2c+jQIYqLi7eo14Lthth4IbggLS0tADz99NMoikIVVQCcILHf59zbidx233ntML9248M4+qfTX2ibkI2AjUBglpGR91hYGCUYnCcS8aFW69HrrZSU7MDpbKSsrGbd1w0Gg/T29hKNLu2FUxSZ2dlfEQyOYDQacThsNDRIFC1m4DIajXzuc5+jtLR0Qx6bQHAxCHkJLgohsItnrVD5S5FXNBri3Xe/TX//c4yP9+DzTROPp68XtvK+VJhMRZSV7aOm5kauuurfYbfvz3h+KBRKIy6Fubn3CQSGMRgMOBxl1NVJJAdYBoOBQ4cOYbPZ1v24BILLQchLcNEIgV0c8hq5+9bjrp6eH/Dyy3/K+Hgfshy/8A3OQ1Fk/P55/P6jnDt3lNde+2usVgdNTZ/l1lv/BxaLI3VuOBymt7eXSCSy7PYK8/Mf4PefwWDQp8SVHGDp9XruueceHA7H+XctEGw6Ql6CdSEEdmHkNQI2Lia3YUfH9/nxj7+Kx7Px2e+9Xje//OW/8qtffYfq6g9z993fprR0P319fYTD4dR5iqLg8XTi851Cr9dht9upq1ORHGBptVruuusuysvLN7yPAsHFIOQlWDdCYGtzqRk2FhbG+X//71ZGRro2oVcrURSZU6d+xje/2UJV1TW0t/83dLqlKMGFhR683sFFcTmorVVRVpZo02g03HXXXVRVVW16PwWCTIhoQ8ElUYhRiBuFskYGj0xrXj09P+Av/qI6K+JajqIojIz8gjfeOJw6trDQx8JCPzqdFrvdzv79KpIzgyqVijvuuIOdO3dmtZ8CwfmIkZfgkhEjsPSsN2Dj9df/Bz/96X+5qNGaSqXCZtvNzp1XsnPnVVRVXYHNVo3JVIYkqfB6J5ibG2J4+F1GRo4yPPwu8/OjKzJkpCMeT6x1eb3H8Xh60Go12O0O9u1T43It9f0zn/kMe/bsuWA/BYLNRshLcFkIga1mPRk2Xnrp67z00p9f8JpWaxkf+cjvcP31f4Beb8l4XllZNWVl1dTU3JQ6FokEeOutv+K9977DzMy5jLf1ek8yP9+JRqPG4XCyb5+aioql9ttvv52amvWH3wsEm4GQl+CyEQJbycXu83r//f/Hyy//f9e8lk5n4NZb/5zrr//9S+6PTmfi5pv/hJtv/hOOH3+ep576MnNzZ1ecoygy8/MfpMS1d6+aysql9ttuu43a2tpL7oNAsNGINS/BhiDWwJa4mICN0dEPePLJf7/meQ5HNf/lv4xclriWI8sysryHj3/8exw8+DW02qWM74oSR61OiGv3bg07dizd7pOf/CSNjY0b0geBYKMQ8hJsGEJgCS5m5PWd79y+5kbjPXuu5I/+6BRmc9mG9ElRFE6cOMHc3BwAu3ffwS23/IjS0j2L/QKn08HOnRp271663Y033pgaWQsEuYSQl2BDEQIDLlAS5Yc//DLz8+MZb15eXsfv/M67G9adpLhmZmZWHI/HvezffxcVFW2oVGqqqrTs3bvUfv3113PgwIEN64dAsJGINS/BhrPd18BC0cyRfeGwh1/96l8ztuv1Zn77t3++YX1RFIVTp04xPb3yOQ6FJpmZ+QWSBB/60H1oteNUVy+1X3vttVx55ZUb1g+BYKMRIy/BprCdR2AeX4D5+fm0bS+99HvEYtG0bQB33fWPmEwbkydQURROnz7N1NTUiuPh8BTT0+8AMg6HnYoKHR/+8O5U6qqrrrqKa665ZkP6IBBsFkJegk1juwosLkmcPn2aYDC44rgsywwOvpjxdi7Xfj70oS9tSB8UReHs2bNMTq5MMRUOT+N2v01SXOXlevbvX8q5ePDgQa677roN6YNAsJkIeQk2le0oMAUVsiwzPT29QmBDQ48TjYYz3u7Tn/7rDevD8PAwY2NjK45FInNMTy8Xl4Ha2iVxtbW18bGPfSxvCmYKtjdCXoJNZ7sJLCzJqYCN5QI7d+6nGW9jsdhobLxjQ+5/ZGSEkZGRFcei0Xnc7jeR5Sh2exlOp4G6OkgmwG9ubuamm24S4hLkDUJegqywnQQWlKIEVUsjrpmZGcLhMB7P2Yy3qa+/bUPue2xslHPnVmbRiMW8i+KKYLfbcTqN1Ncviau+vp5PfOITQlyCvELIS5A1tovAZEmFR+Uhqk0EZiiKwtDQT9esyXX11b912fc7Pj7OmTMrBRmLeZmaeoN4PExZWVlKXOrFDFY1NTXcdtttqNaoQSYQ5CLiHSvIKttBYHFJhYJC0BhEViXC5ufmjmY8X6PRsXfv5QVJTE5OMjQ0tOJYLObH7X6TeDyIzWbD4TDR0ACaxQ0y1dXV3H777UJcgrxEvGsFWafQBaYy6hL/kSBgCqCg4PcPZTy/pKQyY9vF4Ha7OXXq1IpjsVgQt/sNYrEApaWlOBxmGhuXxLVr1y4+85nPoFZnTiIsEOQyQl6CLaGQBaYv0qExJSwhq2WCxiDh8GzG88vK9l3yfc3MzHDy5MkVx+LxENPTbxCL+SkpKcHhsNDYCFptor2qqoo77rgDjUbkKBDkL0Jegi2jUAXWNNpP6b5SJFXiccV0MWKxYMbzHY66S7qf2dlZBgcHV6SiisfDTE+/STTqpaSkGLvdSmMj6BYHgxUVFdx1113okgcEgjxFyEuwpaxHYFP1+SGwPdPnuGXoZxirjEBic3I8njmrRmnp7oxtmZifn18lLlmOMj39FpGIh+LiIsrKimhqAr0+0e50Orn77rvRJw8IBHmMkJdgy7lYgf3L81/kjN20Vd1cF19552H2MYvGqkGJ+dc8d73y8ng8DAwMrKiOvCSuOYqKrClxGRarnpSVlXHvvfdiMBgyXFUgyC+EvAQ5wcUIrLd/mq8ebs0LgRliEb5w4k10Nh1yLLDmuXp90UVf1+v1phFXjJmZdwiHZ7BaLdjtxTQ1SRgTAz9KS0s5dOgQxuQBgaAAEPIS5AwXEtjwz4YZcgf46uFWTpeat6qbF80tZ49SpIuCOrLmeTqd5aKu5/P56O/vJx5f2i+mKHFmZn5GKOTGYjFjt5fQ2ChhWvR7cXExhw4dwmzO/edLIFgPQl6CnOJCAvOc8zDkDvDbd13JCVPxVnXzojDHwnz67Ptoi9deY5LlzEUpk/j9fvr6+ojFls5NiOsXhEKTmM1m7PZSGhslkp6yWq0cOnQIq9V6WY9DIMhFhLwEOcfFCOzMTJjPt36S47rN+2BWgHeAvwf+FRhZ+/S03HLuA3TFa4+sIpG118SCwWAaccnMzPyKYHAMk8mE3V5KQ4OEZfGuzGYzhw4dorg4twUvEFwqQl6CnCSdwPaxtB/KO+ZlJCDx2YrrGNSXbfj9h4DDwOeAvwS+DlwLfG+d19npc6M1ry3YYHBujbYgPT09RKNL0YqKIjM7+y7B4AhGoxG73UZDg0TR4tKZ0Wjk0KFDlJaWrrO3AkH+IOQlyFnSCczGUqHG0HyI0ZCKu6s/zwnT5WWpOJ+/Al4971gU+COgZx3XKQ37KVKr10x6OzeXPvtGKBSit7f3PHEpzM0dJRA4h8FgwOGwUV8vkRxgGQwG7r33XsrKNl7oAkEuIeQlyGnOF1gRRUsCUyAWijEa1vL51j/cUIF9P8PxOPDUOq9VFZhBrcm8KXhu7syqY+FwmL6+PiKRpWAPRVGYnz+G3z+EwaDH4Sijrk5FcoCl0+m45557cDqd6+yhQJB/CHkJcp50AiuVilMbdCO+ICMB/YYJLALMr9E+tc7rFYUDaHSZw/unpgZW3n8kQl9fH6FQKHVMURQ8nk58vpPo9Trsdju1tSpsix7XarXcfffdlJeXr7N3AkF+IuQlyAtaWlo4dOhQKh9fscaASUoIQZGDhD3hlMBOFe+4rPvSATVrtDes83qTphL0JkfG9pmZpWnDaDRKX1/figrMAAsLvXi9g+h0Wux2B/v3q7AvJhxRq9XcddddVFVVrbNnAkH+IuQlyBtaW1v5yEc+AoBGE8Og0qOVtChy4oM+KbAvXfd1ztjXn3JpOV/NcNwJ3L+O68QliXGzDX1RdcZzFhamiMUixGIx+vv7CQQC57X3s7DQh06nxeFwUFOjIjkzqFKpuOOOO9i5c+c6eiUQ5D9CXoK8orm5mYaGBiQJNJo4OpUOjbwU0BD2hBmaVvHVw/+TM/Zdl3w/d5OIMrQtO9YOPHnesQsxaSwlqqgwlR3IeI6iyHR2PkZ/fz8+n29Fm9c7iMfTjVarwW53UF2tJjkzKEkSn/nMZ9i7d+86eiQQFAZCXoK8orS0FJfLRUNDAxpNDJVKhVpRMMhLdan8U36G3Cq+evhvOFF86WtgDwJHgdeB94CfwrLdZhfHidJK5IiMvmgvGm3mvIJvv/0tvF7vimM+3ynm5zvQaNQ4HE6qq9VULns4n/70p6mpWWuCUyAoXIS8BHlFSUkJAC6Xi717y1NVgDVyHCOJ3H2KrDA3NMeQW8W/u+O/MlTkuuT70wN1wKWuJv2o+sNEPYmRocWWeepwYqJjRb5Cv/8Mc3NHU+Las0fN8iWt2267jbq6SyulIhAUAkJegrxi+cbb8vKS1H4mWfaiR58SWMQXwXPOw0yomP907W9wuij7UXij5jJ+5qgnOhdFJamo2H9nxnNjsQgnTnwHgEDgHLOz76FWq3E4HOzerWH5ktYnP/lJGhsbN7n3AkFuI+QlyCtstqUVJ6s1ITOTyUQ0mkjelBRYxBtBURQC4wGmAyZ+56O/mXWB/bD6w0S8MRRZQavT4nJ+GKOxJOP5J08+js93hpmZX6FWq3A6HezcqWX3stiTG2+8kZaWls3vvECQ4wh5CfKK0tLSVL6+0lKwWrUUFRWh1fqIxxM5AvXo0cf0xEIxJElCXpCZWNDx5Y99OWsCO2N18uS+jxCdTUwZ6rRaLFioqbkv423CYT/d3X+JSiXhcNipqtKyPBbj+uuv58CBzIEfAsF2QshL8P9v725iozjzPI5/n+qq6q6ucrvd7W5jM+uAEwbbQyRkwihiw2jZRDkEIQWRaA9hpExOk+xhD6usRjlGijJ7ysxhN5oIsjlMIiVSlBfBIafdQ7K7Gs+wKChmdoGEwGBjt7tpt7v6pV7nUKaBSQxMJpBt+H+sUoOhn2qXZP30vP2fvqKUYseOHWt/htHRpHq6aRpY1pUagWnSmKtJVQtDN/BrPgsrf2aApVI3/j9fo62b/GzX01yqKcJOiGEYpLUMJib33fdjMpn1z++6ePEEqVSDjRtNJq6aItu1axc7d+78Rp/nRoIg4Pnnn78lbQtxq0h4ib4zMzNDai1YRkfBtrOkUimC4DzF4pU5sbgVk/NzKKWwLAuv6t18gDkOHDgABw/Cj36UJOVN+vnMk/yfKuFVPTSlYWUs8uTXyjvVmZz8+3XfG8cxv/3tr8nnq71b7ty5kwcffPCm7//nWFxcZGJigjfeeOOWtC/ErSLhJfqO4zhMTSV1LkwTymXFwMAAUdRFqWWGL5eeADrLHQajQVK6TjqdvibA/md4/dV/5PPwve+xlM3ibd4M2o1/VUKl+Ndtezk6NkP7QrJxOpvNkld5zNhkZWWFTqfDpk2PsWHDjnXb8bwuv/zlL1haWmJmZobdu3dft7DvN/XWW2+xadMmzp8//623LcStJuEl+tLVQ2gbNyaBBkkZJdu2egHmeR7+SkCePGkzjZ7S8aoeF5Z1nt39HL/+/t98/Q0MAzyP0tAQpuvCVacXf51a2uYfdv+Uw5v30DrbIo5iLMvCTtkMMECj0WB1dZVisYimafzwh/983eHDdrvNK6+8wrlz57714FpYWOChhx7iqaeeuqZ+ohD9RMJL9KXx8fFe9fTBQcjndQYGBvC8GpcuHcNxnF6AtVouqqnIqzxW1kJP6QSNgMbZNr+Y2sc/7foJ1cyfnLl19iwcPYo6ehQ+/vi6n2W2vIUfP/KPfGxuwv3CJfIjMpkMlmFRoECj0aDRaJDP5zHNZB4ujj0mJ/8OXTfWbdf3fZ5++mkeeOABPvvss2/+sNYsLCywf/9+xsfH+eSTT/7i9oT4Lqn4cmluIfrM7OwsR48eBaDRgGPHIi5cWMD3fUqlPdj2PbTbLpbVwfMiisUSgRlQi2u0u+3kuBEFmdEM1oDG386f4MDpT5hZPnPDe7f0NB+Nz/DufX/N/9qjtBc7BCvJ6saslSWrZynEBdrNNvV6nWw2S6FQQClFEKyytPTvhGEHw2jzm9/8G0HgX/d+Simmp6d55plneO6558hk1q/WcbVGo8GhQ4d4/fXXOXny5DUboa82PDxMpVK5qTaF+P9Awkv0Ld/3efXVV6nVagBcuABzcz7z8/MopTM6uo9MZpBcLuTixWWiKFlqn7bTVKnSClq0223iOEalFMaQQXrI5N72EtuqZ9no1hhrVhlr1WjrJvN2gXm7yB+cYf5r5Ps0/DTdWpegEQCgp3QsK0NOG2QgGqB+qU6r1cIwDMrlMpqmEQTNteBqUywWKZezDA0t8Ktf/ctND+EppRgeHmZ8fJxNmzYxMjKC4zhomka9XqdSqXDmzBnOnz9PtVq9qTYlvES/kfASfW1hYYHDhw8TBEmAzM3BF1+4VCoVTLPAxo17GRtzaDRcKpUqURThOA65fI4VtUIzWqXrefi+3zsfTLd1tIyGZmpoRvIaRzGRFyWXHxG6IZGX9GJSWgozbWLqJgVVwAxMlpeX8X2fTCZNoVBcWw3pUqn8B0HgUigUKJdtpqeT6bVWq8Xhw4f58ssvv5Pn+Pjjj/Pee+99J/cW4puQOS/R10ZHR3nsscd6f9+6FUolm1wuh+fVqNX+kzgOsSyLkZERTNOk2WyyvLRMLshR1kYYygwx4AxgWRYpLUXgBnhVj85Ch9a5Fs3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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## The shortest cycle is AB,AC,BC but in general this could \n", + "## be very hard to find if the boundary group is large.\n", + "## We still need to optimize finding the shortest cycle.\n", + "drawhasc()\n", + "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", + "cycles = [('A', 'B'), ('A', 'C'), ('B', 'C')]\n", + "hcycles = hnx.Hypergraph(cycles)\n", + "hnx.draw(hcycles,pos=pos,\n", + " edges_kwargs = {'edgecolors': 'red','facecolors':'red','linewidths': 0},\n", + " edge_labels_kwargs={'fontsize':0},\n", + " node_labels_kwargs={'fontsize':50,'color':'k'},\n", + " node_label_alpha=.1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/advanced/Advanced 3 - Laplacians and Clustering.ipynb b/tutorials/advanced/Advanced 3 - Laplacians and Clustering.ipynb new file mode 100644 index 00000000..cebabb34 --- /dev/null +++ b/tutorials/advanced/Advanced 3 - Laplacians and Clustering.ipynb @@ -0,0 +1,1334 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Laplacians and Clustering\n", + "\n", + "\n", + "\n", + "Tutorial for hypergraph clustering utilizing random-walk based Laplacians. The hypergraph may be weighted or unweighted. \n", + "The optional weights are associated with each **vertex-hyperedge pair**, sometimes referred to as \"edge-dependent vertex weights\" or \"cell weights\" of the incidence matrix. If unweighted, the underlying random walk is equivalent to a weighted random walk on the clique expansion (i.e. 2-section, one-mode projection) of the hypergraph. If weights are specified, the random walk isn't necessarily reversible, which implies it cannot be characterized as any random walk on an undirected graph. For more background on Laplacian-based hypergraph clustering, see\n", + "\n", + "Hayashi, K., Aksoy, S. G., Park, C. H., & Park, H. \n", + "Hypergraph random walks, laplacians, and clustering. \n", + "In Proceedings of CIKM 2020, (2020): 495-504.\n", + "\n", + "and the references contained therein. Feel free to direct inquries concerning this tutorial to Sinan Aksoy, sinan.aksoy@pnnl.gov" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:06.484484Z", + "iopub.status.busy": "2024-04-03T19:49:06.484400Z", + "iopub.status.idle": "2024-04-03T19:49:08.232969Z", + "shell.execute_reply": "2024-04-03T19:49:08.232579Z", + "shell.execute_reply.started": "2024-04-03T19:49:06.484471Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as mpatches\n", + "import numpy as np\n", + "import warnings \n", + "warnings.simplefilter('ignore')\n", + "\n", + "from sklearn.datasets import fetch_20newsgroups\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from scipy.sparse import coo_matrix\n", + "from pprint import pprint" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Unweighted hypergraph clustering on LesMis\n", + "\n", + "A toy example of unweighted hypergraph clustering characters in the LesMis example based on scene co-occurance." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.233525Z", + "iopub.status.busy": "2024-04-03T19:49:08.233396Z", + "iopub.status.idle": "2024-04-03T19:49:08.471268Z", + "shell.execute_reply": "2024-04-03T19:49:08.470912Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.233515Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: ['FN', 'JA', 'TH'],\n", + " 1: ['BM', 'BR', 'CC', 'CH', 'CN', 'JU', 'JV'],\n", + " 2: ['GP', 'MA', 'MP']}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scenes = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes)\n", + "clusters = hnx.spec_clus(H,3) #3 clusters\n", + "clusters" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.472063Z", + "iopub.status.busy": "2024-04-03T19:49:08.471932Z", + "iopub.status.idle": "2024-04-03T19:49:08.644712Z", + "shell.execute_reply": "2024-04-03T19:49:08.644425Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.472043Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "colors = ['r','g','b']\n", + "node_colors = dict()\n", + "for k,v in clusters.items():\n", + " node_colors.update({vv:colors[k] for vv in v})\n", + "hnx.draw(H,nodes_kwargs={'color':node_colors})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Weighted hypergraph clustering\n", + "\n", + "Hypergraph clustering on term-document data using tf-idf as cell weights. In this example, we use the 20newsgroups dataset:\n", + "\n", + "https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html\n", + "\n", + "and consider documents falling into two subcategories. We form a static hypergraph with 787 documents as vertices, 20,868 terms as hyperedges, and tf-idf as vertex-hyperedge (i.e. cell) weights. We then form the normalized Laplacian and apply the spectral clustering algorithm as defined by \"RDC-Spec\" (Algorithm 1) in:\n", + "\n", + "Hayashi, K., Aksoy, S. G., Park, C. H., & Park, H. \n", + "Hypergraph random walks, laplacians, and clustering. \n", + "In Proceedings of CIKM 2020, (2020): 495-504.\n", + "\n", + "We plot the proportions of the document subcategories within each output cluster." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.645348Z", + "iopub.status.busy": "2024-04-03T19:49:08.645149Z", + "iopub.status.idle": "2024-04-03T19:49:08.812922Z", + "shell.execute_reply": "2024-04-03T19:49:08.812606Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.645331Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[(0, 'alt.atheism'),\n", + " (1, 'comp.graphics'),\n", + " (2, 'comp.os.ms-windows.misc'),\n", + " (3, 'comp.sys.ibm.pc.hardware'),\n", + " (4, 'comp.sys.mac.hardware'),\n", + " (5, 'comp.windows.x'),\n", + " (6, 'misc.forsale'),\n", + " (7, 'rec.autos'),\n", + " (8, 'rec.motorcycles'),\n", + " (9, 'rec.sport.baseball'),\n", + " (10, 'rec.sport.hockey'),\n", + " (11, 'sci.crypt'),\n", + " (12, 'sci.electronics'),\n", + " (13, 'sci.med'),\n", + " (14, 'sci.space'),\n", + " (15, 'soc.religion.christian'),\n", + " (16, 'talk.politics.guns'),\n", + " (17, 'talk.politics.mideast'),\n", + " (18, 'talk.politics.misc'),\n", + " (19, 'talk.religion.misc')]\n" + ] + } + ], + "source": [ + "#list possible categories to choose from\n", + "all_categories = np.array((fetch_20newsgroups(subset='test').target_names))\n", + "pprint(list(enumerate(all_categories)))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.813777Z", + "iopub.status.busy": "2024-04-03T19:49:08.813699Z", + "iopub.status.idle": "2024-04-03T19:49:08.967748Z", + "shell.execute_reply": "2024-04-03T19:49:08.967277Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.813769Z" + } + }, + "outputs": [], + "source": [ + "#select categories of documents to be clustered\n", + "categories = all_categories[[1,15]]\n", + "twenty_train = fetch_20newsgroups(subset='test',\n", + " categories=categories, shuffle=True, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.969714Z", + "iopub.status.busy": "2024-04-03T19:49:08.969606Z", + "iopub.status.idle": "2024-04-03T19:49:08.976810Z", + "shell.execute_reply": "2024-04-03T19:49:08.976506Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.969706Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 'soc.religion.christian',\n", + " 1: 'soc.religion.christian',\n", + " 2: 'soc.religion.christian',\n", + " 3: 'comp.graphics',\n", + " 4: 'comp.graphics',\n", + " 5: 'comp.graphics',\n", + " 6: 'soc.religion.christian',\n", + " 7: 'soc.religion.christian',\n", + " 8: 'comp.graphics',\n", + " 9: 'soc.religion.christian',\n", + " 10: 'soc.religion.christian',\n", + " 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530: 'comp.graphics',\n", + " 531: 'soc.religion.christian',\n", + " 532: 'comp.graphics',\n", + " 533: 'soc.religion.christian',\n", + " 534: 'comp.graphics',\n", + " 535: 'soc.religion.christian',\n", + " 536: 'soc.religion.christian',\n", + " 537: 'soc.religion.christian',\n", + " 538: 'soc.religion.christian',\n", + " 539: 'soc.religion.christian',\n", + " 540: 'comp.graphics',\n", + " 541: 'soc.religion.christian',\n", + " 542: 'soc.religion.christian',\n", + " 543: 'soc.religion.christian',\n", + " 544: 'soc.religion.christian',\n", + " 545: 'comp.graphics',\n", + " 546: 'soc.religion.christian',\n", + " 547: 'comp.graphics',\n", + " 548: 'comp.graphics',\n", + " 549: 'comp.graphics',\n", + " 550: 'soc.religion.christian',\n", + " 551: 'comp.graphics',\n", + " 552: 'soc.religion.christian',\n", + " 553: 'soc.religion.christian',\n", + " 554: 'comp.graphics',\n", + " 555: 'comp.graphics',\n", + " 556: 'soc.religion.christian',\n", + " 557: 'soc.religion.christian',\n", + " 558: 'comp.graphics',\n", + " 559: 'soc.religion.christian',\n", + " 560: 'soc.religion.christian',\n", + " 561: 'soc.religion.christian',\n", + " 562: 'soc.religion.christian',\n", + " 563: 'comp.graphics',\n", + " 564: 'soc.religion.christian',\n", + " 565: 'soc.religion.christian',\n", + " 566: 'soc.religion.christian',\n", + " 567: 'comp.graphics',\n", + " 568: 'comp.graphics',\n", + " 569: 'soc.religion.christian',\n", + " 570: 'comp.graphics',\n", + " 571: 'comp.graphics',\n", + " 572: 'comp.graphics',\n", + " 573: 'comp.graphics',\n", + " 574: 'comp.graphics',\n", + " 575: 'comp.graphics',\n", + " 576: 'soc.religion.christian',\n", + " 577: 'soc.religion.christian',\n", + " 578: 'comp.graphics',\n", + " 579: 'soc.religion.christian',\n", + " 580: 'soc.religion.christian',\n", + " 581: 'comp.graphics',\n", + " 582: 'soc.religion.christian',\n", + " 583: 'soc.religion.christian',\n", + " 584: 'comp.graphics',\n", + " 585: 'comp.graphics',\n", + " 586: 'soc.religion.christian',\n", + " 587: 'soc.religion.christian',\n", + " 588: 'soc.religion.christian',\n", + " 589: 'comp.graphics',\n", + " 590: 'comp.graphics',\n", + " 591: 'soc.religion.christian',\n", + " 592: 'comp.graphics',\n", + " 593: 'comp.graphics',\n", + " 594: 'soc.religion.christian',\n", + " 595: 'comp.graphics',\n", + " 596: 'comp.graphics',\n", + " 597: 'soc.religion.christian',\n", + " 598: 'comp.graphics',\n", + " 599: 'soc.religion.christian',\n", + " 600: 'comp.graphics',\n", + " 601: 'comp.graphics',\n", + " 602: 'comp.graphics',\n", + " 603: 'soc.religion.christian',\n", + " 604: 'comp.graphics',\n", + " 605: 'comp.graphics',\n", + " 606: 'soc.religion.christian',\n", + " 607: 'soc.religion.christian',\n", + " 608: 'soc.religion.christian',\n", + " 609: 'soc.religion.christian',\n", + " 610: 'soc.religion.christian',\n", + " 611: 'soc.religion.christian',\n", + " 612: 'comp.graphics',\n", + " 613: 'soc.religion.christian',\n", + " 614: 'soc.religion.christian',\n", + " 615: 'comp.graphics',\n", 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'soc.religion.christian',\n", + " 645: 'comp.graphics',\n", + " 646: 'soc.religion.christian',\n", + " 647: 'soc.religion.christian',\n", + " 648: 'comp.graphics',\n", + " 649: 'soc.religion.christian',\n", + " 650: 'comp.graphics',\n", + " 651: 'soc.religion.christian',\n", + " 652: 'comp.graphics',\n", + " 653: 'comp.graphics',\n", + " 654: 'comp.graphics',\n", + " 655: 'soc.religion.christian',\n", + " 656: 'soc.religion.christian',\n", + " 657: 'comp.graphics',\n", + " 658: 'soc.religion.christian',\n", + " 659: 'comp.graphics',\n", + " 660: 'soc.religion.christian',\n", + " 661: 'soc.religion.christian',\n", + " 662: 'soc.religion.christian',\n", + " 663: 'soc.religion.christian',\n", + " 664: 'comp.graphics',\n", + " 665: 'comp.graphics',\n", + " 666: 'comp.graphics',\n", + " 667: 'comp.graphics',\n", + " 668: 'comp.graphics',\n", + " 669: 'soc.religion.christian',\n", + " 670: 'comp.graphics',\n", + " 671: 'soc.religion.christian',\n", + " 672: 'comp.graphics',\n", + " 673: 'comp.graphics',\n", + " 674: 'soc.religion.christian',\n", + " 675: 'soc.religion.christian',\n", + " 676: 'soc.religion.christian',\n", + " 677: 'soc.religion.christian',\n", + " 678: 'comp.graphics',\n", + " 679: 'comp.graphics',\n", + " 680: 'soc.religion.christian',\n", + " 681: 'soc.religion.christian',\n", + " 682: 'comp.graphics',\n", + " 683: 'soc.religion.christian',\n", + " 684: 'comp.graphics',\n", + " 685: 'soc.religion.christian',\n", + " 686: 'soc.religion.christian',\n", + " 687: 'comp.graphics',\n", + " 688: 'comp.graphics',\n", + " 689: 'soc.religion.christian',\n", + " 690: 'soc.religion.christian',\n", + " 691: 'comp.graphics',\n", + " 692: 'soc.religion.christian',\n", + " 693: 'comp.graphics',\n", + " 694: 'comp.graphics',\n", + " 695: 'soc.religion.christian',\n", + " 696: 'soc.religion.christian',\n", + " 697: 'soc.religion.christian',\n", + " 698: 'comp.graphics',\n", + " 699: 'comp.graphics',\n", + " 700: 'comp.graphics',\n", + " 701: 'soc.religion.christian',\n", + " 702: 'comp.graphics',\n", + " 703: 'comp.graphics',\n", + " 704: 'soc.religion.christian',\n", + " 705: 'comp.graphics',\n", + " 706: 'comp.graphics',\n", + " 707: 'soc.religion.christian',\n", + " 708: 'comp.graphics',\n", + " 709: 'comp.graphics',\n", + " 710: 'comp.graphics',\n", + " 711: 'soc.religion.christian',\n", + " 712: 'comp.graphics',\n", + " 713: 'soc.religion.christian',\n", + " 714: 'soc.religion.christian',\n", + " 715: 'comp.graphics',\n", + " 716: 'soc.religion.christian',\n", + " 717: 'comp.graphics',\n", + " 718: 'soc.religion.christian',\n", + " 719: 'soc.religion.christian',\n", + " 720: 'comp.graphics',\n", + " 721: 'soc.religion.christian',\n", + " 722: 'soc.religion.christian',\n", + " 723: 'comp.graphics',\n", + " 724: 'comp.graphics',\n", + " 725: 'comp.graphics',\n", + " 726: 'soc.religion.christian',\n", + " 727: 'soc.religion.christian',\n", + " 728: 'comp.graphics',\n", + " 729: 'comp.graphics',\n", + " 730: 'comp.graphics',\n", + " 731: 'soc.religion.christian',\n", + " 732: 'comp.graphics',\n", + " 733: 'soc.religion.christian',\n", + " 734: 'comp.graphics',\n", + " 735: 'comp.graphics',\n", + " 736: 'comp.graphics',\n", + " 737: 'comp.graphics',\n", + " 738: 'comp.graphics',\n", + " 739: 'soc.religion.christian',\n", + " 740: 'comp.graphics',\n", + " 741: 'soc.religion.christian',\n", + " 742: 'comp.graphics',\n", + " 743: 'comp.graphics',\n", + " 744: 'comp.graphics',\n", + " 745: 'soc.religion.christian',\n", + " 746: 'comp.graphics',\n", + " 747: 'comp.graphics',\n", + " 748: 'comp.graphics',\n", + " 749: 'soc.religion.christian',\n", + " 750: 'comp.graphics',\n", + " 751: 'comp.graphics',\n", + " 752: 'comp.graphics',\n", + " 753: 'soc.religion.christian',\n", + " 754: 'soc.religion.christian',\n", + " 755: 'soc.religion.christian',\n", + " 756: 'comp.graphics',\n", + " 757: 'soc.religion.christian',\n", + " 758: 'soc.religion.christian',\n", + " 759: 'comp.graphics',\n", + " 760: 'comp.graphics',\n", + " 761: 'comp.graphics',\n", + " 762: 'soc.religion.christian',\n", + " 763: 'soc.religion.christian',\n", + " 764: 'soc.religion.christian',\n", + " 765: 'soc.religion.christian',\n", + " 766: 'soc.religion.christian',\n", + " 767: 'comp.graphics',\n", + " 768: 'soc.religion.christian',\n", + " 769: 'soc.religion.christian',\n", + " 770: 'comp.graphics',\n", + " 771: 'soc.religion.christian',\n", + " 772: 'comp.graphics',\n", + " 773: 'soc.religion.christian',\n", + " 774: 'comp.graphics',\n", + " 775: 'comp.graphics',\n", + " 776: 'comp.graphics',\n", + " 777: 'comp.graphics',\n", + " 778: 'soc.religion.christian',\n", + " 779: 'comp.graphics',\n", + " 780: 'comp.graphics',\n", + " 781: 'comp.graphics',\n", + " 782: 'comp.graphics',\n", + " 783: 'soc.religion.christian',\n", + " 784: 'soc.religion.christian',\n", + " 785: 'comp.graphics',\n", + " 786: 'comp.graphics'}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#record categories of documents\n", + "doc_types=dict()\n", + "for i,x in enumerate(twenty_train.filenames):\n", + " doc_types[i]=x.split('/')[-2]\n", + "\n", + "doc_types" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:08.977234Z", + "iopub.status.busy": "2024-04-03T19:49:08.977158Z", + "iopub.status.idle": "2024-04-03T19:49:09.070367Z", + "shell.execute_reply": "2024-04-03T19:49:09.069925Z", + "shell.execute_reply.started": "2024-04-03T19:49:08.977227Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<787x20868 sparse matrix of type ''\n", + "\twith 136994 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#form TF-IDF term-document matrix\n", + "tfidf_vect = TfidfVectorizer()\n", + "X_tfidf = tfidf_vect.fit_transform(twenty_train.data)\n", + "X_tfidf" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:09.070938Z", + "iopub.status.busy": "2024-04-03T19:49:09.070837Z", + "iopub.status.idle": "2024-04-03T19:49:09.353722Z", + "shell.execute_reply": "2024-04-03T19:49:09.353308Z", + "shell.execute_reply.started": "2024-04-03T19:49:09.070930Z" + } + }, + "outputs": [], + "source": [ + "#extract vertex-hyperedge incidences and weights from TFIDF matrix\n", + "mat = coo_matrix(X_tfidf)\n", + "edges = mat.col\n", + "nodes = mat.row\n", + "data = np.array([edges,nodes]).T\n", + "weights = mat.data\n", + "\n", + "h = hnx.Hypergraph.from_incidence_matrix(mat)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:09.354183Z", + "iopub.status.busy": "2024-04-03T19:49:09.354108Z", + "iopub.status.idle": "2024-04-03T19:49:10.008631Z", + "shell.execute_reply": "2024-04-03T19:49:10.008409Z", + "shell.execute_reply.started": "2024-04-03T19:49:09.354171Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#check the hypergraph is connected, as this is required by spectral clustering\n", + "#if not, restrict to largest connected component or modify hypergraph as necessary\n", + "h.is_connected()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:10.009279Z", + "iopub.status.busy": "2024-04-03T19:49:10.009205Z", + "iopub.status.idle": "2024-04-03T19:49:10.018170Z", + "shell.execute_reply": "2024-04-03T19:49:10.017845Z", + "shell.execute_reply.started": "2024-04-03T19:49:10.009271Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<787x20868 sparse matrix of type ''\n", + "\twith 136994 stored elements in Compressed Sparse Row format>" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#the weighted incidence matrix which contain the cell weights\n", + "I,verMap,edgeMap = h.incidence_matrix(weights=True,index=True)\n", + "I" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:46:48.945246Z", + "iopub.status.busy": "2024-04-03T19:46:48.945098Z", + "iopub.status.idle": "2024-04-03T19:46:50.612396Z", + "shell.execute_reply": "2024-04-03T19:46:50.610989Z", + "shell.execute_reply.started": "2024-04-03T19:46:48.945236Z" + } + }, + "source": [ + "## Cluster with weights" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:10.018931Z", + "iopub.status.busy": "2024-04-03T19:49:10.018782Z", + "iopub.status.idle": "2024-04-03T19:49:12.839040Z", + "shell.execute_reply": "2024-04-03T19:49:12.838104Z", + "shell.execute_reply.started": "2024-04-03T19:49:10.018920Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[383, 404]\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#cluster the vertices (documents)\n", + "num_clus=len(categories)\n", + "clusters=hnx.spec_clus(h,num_clus,weights=True) ### set flag for weights here\n", + "print([len(v) for v in clusters.values()])\n", + "\n", + "#visualize document category composition within each cluster\n", + "fig = plt.figure(figsize=(22, 10))\n", + "labels=sorted(list(set(doc_types.values())))\n", + "colors=['#e41a1c','#377eb8']\n", + "\n", + "#pie charts\n", + "for clus in range(num_clus):\n", + " ax=plt.subplot(131+clus)\n", + " counts=[[doc_types[y] for y in clusters[clus]].count(z) for z in labels]\n", + " ax.pie(counts, colors=colors, shadow=True, startangle=90)\n", + " ax.set_title(\"Cluster \"+repr(clus)+ \"\\n\"+ repr(sum(counts))+ ' Documents',fontsize=20)\n", + "\n", + "#legend\n", + "ax=plt.subplot(131+num_clus)\n", + "patches = [mpatches.Patch(color=color, label=label)\n", + " for label, color in zip(labels, colors)]\n", + "ax.legend(patches, labels, loc='center',fontsize=20, frameon=False)\n", + "ax.axis('off');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cluster without weights" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-03T19:49:12.841868Z", + "iopub.status.busy": "2024-04-03T19:49:12.841637Z", + "iopub.status.idle": "2024-04-03T19:49:15.886041Z", + "shell.execute_reply": "2024-04-03T19:49:15.885735Z", + "shell.execute_reply.started": "2024-04-03T19:49:12.841842Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[382, 405]\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#cluster the vertices (documents)\n", + "num_clus=len(categories)\n", + "clusters=hnx.spec_clus(h,num_clus,weights=False) ### set flag for weights here\n", + "print([len(v) for v in clusters.values()])\n", + "\n", + "#visualize document category composition within each cluster\n", + "fig = plt.figure(figsize=(22, 10))\n", + "labels=sorted(list(set(doc_types.values())))\n", + "colors=['#e41a1c','#377eb8']\n", + "\n", + "#pie charts\n", + "for clus in range(num_clus):\n", + " ax=plt.subplot(131+clus)\n", + " counts=[[doc_types[y] for y in clusters[clus]].count(z) for z in labels]\n", + " ax.pie(counts, colors=colors, shadow=True, startangle=90)\n", + " ax.set_title(\"Cluster \"+repr(clus)+ \"\\n\"+ repr(sum(counts))+ ' Documents',fontsize=20)\n", + "\n", + "#legend\n", + "ax=plt.subplot(131+num_clus)\n", + "patches = [mpatches.Patch(color=color, label=label)\n", + " for label, color in zip(labels, colors)]\n", + "ax.legend(patches, labels, loc='center',fontsize=20, frameon=False)\n", + "ax.axis('off');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "interpreter": { + "hash": "4b11832e3fb1d317fabfdf226ff96dd8761e1caa77b8bb75a64cd45c858a9356" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/advanced/Advanced 4 - Generative Models.ipynb b/tutorials/advanced/Advanced 4 - Generative Models.ipynb new file mode 100644 index 00000000..a4dc90e6 --- /dev/null +++ b/tutorials/advanced/Advanced 4 - Generative Models.ipynb @@ -0,0 +1,417 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generating hypergraphs using random models\n", + "\n", + "This tutorial and all supporting code were developed by Mirah Shi, Sinan Aksoy, and Nicholas Landry.\n", + "\n", + "Implementation of and tutorial using two hypergraph generative models: \n", + "1. [Erdös–Rényi](#erdosrenyi)\n", + "2. [Chung-Lu](#chunglu)\n", + "\n", + "Hypergraph Erdös–Rényi and Chung-Lu implementations are described in\n", + "\n", + "> S. Aksoy, T.G. Kolda, and A. Pinar. Measuring and modeling bipartite graphs with community struc-ture. In:Journal of Complex Networks 5.4 (Mar. 2017), pp. 581–603.\n", + "\n", + "and adapt the algorithm in\n", + "\n", + "> J. C. Miller and A. Hagberg. Efficient generation of networks with given expected degrees. In 8th International\n", + "Conference on Algorithms and Models for the Web Graph (2011), pp. 115–126." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "\n", + "\n", + "Generative models are useful tools in network science for their ability to approximate real data. Datasets are typically of a fixed size and generative models allow us to create networks with similar properties, but of arbitrary size. These models can be used as a proxy when the real data may too sensitive to reveal. Lastly, we can use generative models for *inference*, where given a real network and a generative model, we can calculate which parameters best match the given data. We can extend these network science ideas to networks where interactions can happen between greater than two entities." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:47.053549Z", + "iopub.status.busy": "2024-04-05T01:01:47.053468Z", + "iopub.status.idle": "2024-04-05T01:01:50.432458Z", + "shell.execute_reply": "2024-04-05T01:01:50.432133Z", + "shell.execute_reply.started": "2024-04-05T01:01:47.053541Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import hypernetx.algorithms.generative_models as gm\n", + "import random\n", + "import matplotlib.pyplot as plt\n", + "import time\n", + "import warnings\n", + "warnings.simplefilter('ignore')\n", + "\n", + "from collections import Counter" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Erdös–Rényi Hypergraphs \n", + "\n", + "\n", + "\n", + "\n", + "In the article [Measuring and modeling bipartite graphs with community structure](https://doi.org/10.1093/comnet/cnx001) by Aksoy et al., they define the bipartite version of the network Erdös–Rényi model. Any bipartite network can be expressed as a hypergraph if one layer is defined as the nodes and the other layer is defined as the edges. We developed an efficient algorithm based on the [Miller-Hagberg approach](https://doi.org/10.1007/978-3-642-21286-4_10) that runs in $O(N+M)$ complexity by drawing from a geometric distribution instead of the naive algorithm that runs in $O(NM)$ time by iterating through every combination and performing a weighted coin-flip." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:50.433130Z", + "iopub.status.busy": "2024-04-05T01:01:50.432966Z", + "iopub.status.idle": "2024-04-05T01:01:50.467234Z", + "shell.execute_reply": "2024-04-05T01:01:50.466918Z", + "shell.execute_reply.started": "2024-04-05T01:01:50.433121Z" + } + }, + "outputs": [], + "source": [ + "n = 1000\n", + "m = n\n", + "p = 0.01\n", + "\n", + "# generate ER hypergraph\n", + "H = gm.erdos_renyi_hypergraph(n, m, p)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculate the number of expected and generated vertex-hyperedge pairs" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:50.467878Z", + "iopub.status.busy": "2024-04-05T01:01:50.467746Z", + "iopub.status.idle": "2024-04-05T01:01:50.470219Z", + "shell.execute_reply": "2024-04-05T01:01:50.469998Z", + "shell.execute_reply.started": "2024-04-05T01:01:50.467870Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expected # pairs: 10000\n", + "Output # pairs: 10015\n" + ] + } + ], + "source": [ + "print('Expected # pairs: ', int(n*m*p))\n", + "print('Output # pairs: ', H.incidence_matrix().count_nonzero())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Chung-Lu Hypergraph \n", + "\n", + "\n", + "\n", + "Also in the article [Measuring and modeling bipartite graphs with community structure](https://doi.org/10.1093/comnet/cnx001) by Aksoy et al., they define the bipartite version of the network Chung-Lu model. Like before, we can generate a bipartite network and define one layer as the nodes and the other layer as the edges. We developed an efficient algorithm based on the [Miller-Hagberg approach](https://doi.org/10.1007/978-3-642-21286-4_10) that runs in $O(N+M)$ complexity instead of the naive algorithm that runs in $O(NM)$ time. Unlike the Erdös–Rényi case, in the Chung-Lu model, the probabilities vary by degree, so in addition to drawing from a geometric distribution, we sort the degrees in reverse order and perform rejection sampling.\n", + "\n", + "The Chung-Lu model fulfills a degree distribution in expectation. Given degree distributions $W_n=\\{w_1^v,...,w_n^v\\}, W_m=\\{w_1^e,...,w_m^e\\}$ for vertices and hyperedges respectively, the hypergraph Chung-Lu model assigns vertex $i$ to hyperedge $j$ with probability $$p_{ij}=\\frac{w_i^v w_j^e}{S},$$ where $$S=\\sum_{i=1}^n w_i^v=\\sum_{j=1}^m w_j^e$$" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example hypergraph\n", + "\n", + "We use a preprocessed disease-gene dataset (available from https://www.disgenet.org/downloads) and create a hypergraph with genes as vertices and diseases as hyperedges. Then we extract the degree sequences as input to ``chung_lu_hypergraph``." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:50.470680Z", + "iopub.status.busy": "2024-04-05T01:01:50.470609Z", + "iopub.status.idle": "2024-04-05T01:01:50.661344Z", + "shell.execute_reply": "2024-04-05T01:01:50.661000Z", + "shell.execute_reply.started": "2024-04-05T01:01:50.470673Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of vertices: 12368\n", + "Number of hyperedges: 2261\n" + ] + } + ], + "source": [ + "gene_data = hnx.utils.toys.GeneData()\n", + "genes = gene_data.genes\n", + "diseases = gene_data.diseases\n", + "disease_gene_network = gene_data.disease_gene_network\n", + "print('Number of vertices: ', len(genes))\n", + "print('Number of hyperedges: ', len(diseases))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Construct degree sequences\n", + "\n", + "Label vertices and hyperedges with their desired degree:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:50.663835Z", + "iopub.status.busy": "2024-04-05T01:01:50.663671Z", + "iopub.status.idle": "2024-04-05T01:01:50.673224Z", + "shell.execute_reply": "2024-04-05T01:01:50.672981Z", + "shell.execute_reply.started": "2024-04-05T01:01:50.663822Z" + } + }, + "outputs": [], + "source": [ + "k1 = {n: d for n, d in disease_gene_network.degree() if n in genes}\n", + "k2 = {n: d for n, d in disease_gene_network.degree() if n in diseases}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create Chung-Lu hypergraph\n", + "\n", + "``chung_lu_hypergraph`` generates a bipartite edge list, or equivalently, a list of vertex-hyperedge pairs and outputs it as a HyperNetX object." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:50.673654Z", + "iopub.status.busy": "2024-04-05T01:01:50.673573Z", + "iopub.status.idle": "2024-04-05T01:01:51.040685Z", + "shell.execute_reply": "2024-04-05T01:01:51.040297Z", + "shell.execute_reply.started": "2024-04-05T01:01:50.673646Z" + } + }, + "outputs": [], + "source": [ + "H = gm.chung_lu_hypergraph(k1, k2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize results" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:51.041336Z", + "iopub.status.busy": "2024-04-05T01:01:51.041258Z", + "iopub.status.idle": "2024-04-05T01:01:51.604991Z", + "shell.execute_reply": "2024-04-05T01:01:51.604730Z", + "shell.execute_reply.started": "2024-04-05T01:01:51.041328Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# plot desired vs output degree distribution\n", + "node_degrees = [H.degree(node) for node in H.nodes]\n", + "edge_degrees = H.edge_size_dist()\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(14,5))\n", + "ax[0].scatter(Counter(k1.values()).keys(), Counter(k1.values()).values(), color='orange', s=8, label='DisGene')\n", + "ax[0].scatter(Counter(node_degrees).keys(), Counter(node_degrees).values(), color='blue', s=8, label='Chung-Lu hypergraph')\n", + "ax[0].set_xscale('log')\n", + "ax[0].set_yscale('log')\n", + "ax[0].set_xlabel('Degree')\n", + "ax[0].set_ylabel('Count')\n", + "ax[0].set_title('Vertex degree distribution')\n", + "ax[0].legend(loc='best')\n", + "\n", + "ax[1].scatter(Counter(k2.values()).keys(), Counter(k2.values()).values(), color='orange', s=8, label='DisGene')\n", + "ax[1].scatter(Counter(edge_degrees).keys(), Counter(edge_degrees).values(), color='blue', s=8, label='Chung-Lu hypergraph')\n", + "ax[1].set_xscale('log')\n", + "ax[1].set_yscale('log')\n", + "ax[1].set_xlabel('Degree')\n", + "ax[1].set_ylabel('Count')\n", + "ax[1].set_title('Hyperedge degree distribution')\n", + "ax[1].legend(loc='best')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, the Chung-Lu model does not match the degree distribution exactly (notice the small tail of the distribution of actual degrees in contrast to the desired degree distribution)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This algorithm, as mentioned before, has linear time complexity $O(N+M)$. We can test this out by plotting the hypergraph generation time with respect to $N+M$." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:51.605506Z", + "iopub.status.busy": "2024-04-05T01:01:51.605429Z", + "iopub.status.idle": "2024-04-05T01:01:52.007098Z", + "shell.execute_reply": "2024-04-05T01:01:52.006745Z", + "shell.execute_reply.started": "2024-04-05T01:01:51.605498Z" + } + }, + "outputs": [], + "source": [ + "\n", + "n = [500, 500, 500, 1000, 1000, 1000]\n", + "m = [100, 500, 1000, 1000, 5000, 10000]\n", + "m_and_n = list()\n", + "generation_time = list()\n", + "\n", + "for i in range(len(n)):\n", + " k1 = {j : random.randint(1, 10) for j in range(n[i])}\n", + " k2 = {j : random.randint(1, 10) for j in range(m[i])}\n", + "\n", + " m_and_n.append(n[i] + m[i])\n", + "\n", + " start = time.time() \n", + " H = gm.chung_lu_hypergraph(k1, k2)\n", + " generation_time.append(time.time() - start)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-05T01:01:52.007746Z", + "iopub.status.busy": "2024-04-05T01:01:52.007658Z", + "iopub.status.idle": "2024-04-05T01:01:52.077019Z", + "shell.execute_reply": "2024-04-05T01:01:52.076759Z", + "shell.execute_reply.started": "2024-04-05T01:01:52.007739Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(m_and_n, generation_time, 'ko-')\n", + "plt.xlabel(r\"$M+N$\")\n", + "plt.ylabel(\"Generation time (s)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From the plot, we can see (sans artifacts for small $M+N$) that there is a roughly linear relationship as we predicted." + ] + } + ], + "metadata": { + "interpreter": { + "hash": "4b11832e3fb1d317fabfdf226ff96dd8761e1caa77b8bb75a64cd45c858a9356" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/advanced/Advanced 5 - Contagion on Hypergraphs.ipynb b/tutorials/advanced/Advanced 5 - Contagion on Hypergraphs.ipynb new file mode 100755 index 00000000..27dc4729 --- /dev/null +++ b/tutorials/advanced/Advanced 5 - Contagion on Hypergraphs.ipynb @@ -0,0 +1,125096 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "86df37a8", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:14.285672Z", + "start_time": "2024-05-16T16:12:14.282638Z" + } + }, + "outputs": [], + "source": [ + "# !pip install celluloid ##uncomment if not installed in your environment" + ] + }, + { + "cell_type": "markdown", + "id": "2d0f3716", + "metadata": {}, + "source": [ + "## Modeling Contagion with Hypergraphs\n", + "This work is based on the paper [The effect of heterogeneity on hypergraph contagion models by Nicholas Landry](https://aip.scitation.org/doi/10.1063/5.0020034)\n", + "The SIS and SIR simulations will each take several minutes to run." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6b7c2ac2", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:20.105977Z", + "start_time": "2024-05-16T16:12:16.803863Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:21.814245Z", + "iopub.status.busy": "2024-04-05T01:18:21.814162Z", + "iopub.status.idle": "2024-04-05T01:18:24.258412Z", + "shell.execute_reply": "2024-04-05T01:18:24.258006Z", + "shell.execute_reply.started": "2024-04-05T01:18:21.814238Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import hypernetx.algorithms.contagion as contagion\n", + "import matplotlib.pyplot as plt\n", + "import random\n", + "import time\n", + "import warnings \n", + "warnings.simplefilter('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b5be46e0", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:20.323136Z", + "start_time": "2024-05-16T16:12:20.107636Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:24.259088Z", + "iopub.status.busy": "2024-04-05T01:18:24.258933Z", + "iopub.status.idle": "2024-04-05T01:18:24.402056Z", + "shell.execute_reply": "2024-04-05T01:18:24.401727Z", + "shell.execute_reply.started": "2024-04-05T01:18:24.259077Z" + } + }, + "outputs": [], + "source": [ + "n = 1000 \n", + "m = 10000 \n", + "\n", + "hyperedgeList = [random.sample(range(n), k=random.choice([2,3])) for i in range(m)]\n", + "H = hnx.Hypergraph(hyperedgeList, static=True)" + ] + }, + { + "cell_type": "markdown", + "id": "631bee3a", + "metadata": {}, + "source": [ + "## Initialize simulation variables\n", + "- $\\tau$ is a dictionary of the infection rate for each hyperedge size\n", + "- $\\gamma$ is the healing rate\n", + "- $t_{max}$ is the time at which to terminate the simulation if it hasn't already\n", + "- $\\Delta t$ is the time step size to use for the discrete time algorithm\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d74c7a8e", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:20.325926Z", + "start_time": "2024-05-16T16:12:20.323947Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:24.402673Z", + "iopub.status.busy": "2024-04-05T01:18:24.402582Z", + "iopub.status.idle": "2024-04-05T01:18:24.404447Z", + "shell.execute_reply": "2024-04-05T01:18:24.404191Z", + "shell.execute_reply.started": "2024-04-05T01:18:24.402665Z" + } + }, + "outputs": [], + "source": [ + "tau = {2:0.01, 3:0.01}\n", + "gamma = 0.01\n", + "tmax = 100\n", + "dt = 1" + ] + }, + { + "cell_type": "markdown", + "id": "b3f19f88", + "metadata": {}, + "source": [ + "## Run the SIR epidemic simulations\n", + "- The discrete SIR takes fixed steps in time and multiple infection/healing events can happen at each time step.\n", + "- The Gillespie SIR algorithm takes steps in time exponentially distributed and at each step forward, a single event occurs\n", + "- As $\\Delta t\\to 0$, the discrete time algorithm converges to the Gillespie algorithm. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4b5e18bd", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:40.527787Z", + "start_time": "2024-05-16T16:12:20.327736Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:24.404901Z", + "iopub.status.busy": "2024-04-05T01:18:24.404837Z", + "iopub.status.idle": "2024-04-05T01:18:25.944779Z", + "shell.execute_reply": "2024-04-05T01:18:25.944481Z", + "shell.execute_reply.started": "2024-04-05T01:18:24.404894Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15.1314218044281\n", + "5.06148099899292\n" + ] + } + ], + "source": [ + "start = time.time()\n", + "t1, S1, I1, R1 = contagion.discrete_SIR(H, tau, gamma, rho=0.1, tmin=0, tmax=tmax, dt=dt)\n", + "print(time.time() - start)\n", + "## ~15.358373165130615 sec\n", + "\n", + "start = time.time()\n", + "t2, S2, I2, R2 = contagion.Gillespie_SIR(H, tau, gamma, rho=0.1, tmin=0, tmax=tmax)\n", + "print(time.time() - start)\n", + "## ~5.23570895195007 sec" + ] + }, + { + "cell_type": "markdown", + "id": "909ffee4", + "metadata": {}, + "source": [ + "The Gillespie algorithm is much faster in many cases (and more accurate) than discrete-time algorithms because it doesn't consider events that don't happen. Instead, it calculates when the next event will occur and what event (infection, recovery, etc.) it will be." + ] + }, + { + "cell_type": "markdown", + "id": "cbc76561", + "metadata": {}, + "source": [ + "## Plot of the results\n", + "- Dashed lines are the results from the discrete time algorithm\n", + "- Solid lines are the results from the Gillespie algorithm\n", + "- Plots of the numbers susceptible, infected, and recovered over time\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "476ece59", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:12:49.726409Z", + "start_time": "2024-05-16T16:12:49.395985Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:25.949141Z", + "iopub.status.busy": "2024-04-05T01:18:25.949004Z", + "iopub.status.idle": "2024-04-05T01:18:26.155950Z", + "shell.execute_reply": "2024-04-05T01:18:26.148767Z", + "shell.execute_reply.started": "2024-04-05T01:18:25.949133Z" + } + }, + "outputs": [ + { + "data": { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot(t1, S1, 'g--', label='S (Discrete)')\n", + "plt.plot(t1, I1, 'r--', label='I (Discrete)')\n", + "plt.plot(t1, R1, 'b--', label='R (Discrete)')\n", + "plt.plot(t2, S2, 'g-', label='S (Gillespie)')\n", + "plt.plot(t2, I2, 'r-', label='I (Gillespie)')\n", + "plt.plot(t2, R2, 'b-', label='R (Gillespie)')\n", + "plt.xlabel(\"Time\", fontsize=14)\n", + "plt.ylabel(\"Number of people\", fontsize=14)\n", + "plt.legend(fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5cfe7e23", + "metadata": {}, + "source": [ + "## SIS Model\n", + "In this model, once individuals heal, they may become re-infected." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "67999c75", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:20.401477Z", + "start_time": "2024-05-16T16:12:50.902040Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:26.163812Z", + "iopub.status.busy": "2024-04-05T01:18:26.162617Z", + "iopub.status.idle": "2024-04-05T01:18:28.380788Z", + "shell.execute_reply": "2024-04-05T01:18:28.380528Z", + "shell.execute_reply.started": "2024-04-05T01:18:26.163784Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.024901151657104\n", + "7.4686267375946045\n" + ] + } + ], + "source": [ + "tau = {2:0.01, 3:0.01}\n", + "gamma = 0.01\n", + "tmax = 100\n", + "dt = 1\n", + "start = time.time()\n", + "t1, S1, I1 = contagion.discrete_SIS(H, tau, gamma, rho = 0.1, tmin = 0, tmax=tmax, dt=dt)\n", + "print(time.time() - start)\n", + "# ~680.240907907486 sec\n", + "\n", + "start = time.time()\n", + "t2, S2, I2 = contagion.Gillespie_SIS(H, tau, gamma, rho = 0.1, tmin = 0, tmax=tmax)\n", + "print(time.time() - start)\n", + "\n", + "\n", + "# ~236.78710913658142 sec" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b1528139", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:20.510135Z", + "start_time": "2024-05-16T16:13:20.402590Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.381193Z", + "iopub.status.busy": "2024-04-05T01:18:28.381127Z", + "iopub.status.idle": "2024-04-05T01:18:28.453490Z", + "shell.execute_reply": "2024-04-05T01:18:28.453234Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.381186Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot(t1, S1, 'g--', label='S (Discrete)')\n", + "plt.plot(t1, I1, 'r--', label='I (Discrete)')\n", + "plt.plot(t2, S2, 'g-', label='S (Gillespie)')\n", + "plt.plot(t2, I2, 'r-', label='I (Gillespie)')\n", + "plt.xlabel(\"Time\", fontsize=14)\n", + "plt.ylabel(\"Number of people\", fontsize=14)\n", + "plt.legend(fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b59bac25", + "metadata": {}, + "source": [ + "## Animation of SIR model" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4efd9d76", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:20.512864Z", + "start_time": "2024-05-16T16:13:20.511016Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.453898Z", + "iopub.status.busy": "2024-04-05T01:18:28.453827Z", + "iopub.status.idle": "2024-04-05T01:18:28.455856Z", + "shell.execute_reply": "2024-04-05T01:18:28.455626Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.453892Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import matplotlib.pyplot as plt\n", + "import random\n", + "import time\n", + "import hypernetx.algorithms.contagion as contagion\n", + "import numpy as np\n", + "from IPython.display import HTML" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "24962b8c", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:20.526366Z", + "start_time": "2024-05-16T16:13:20.514547Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.456162Z", + "iopub.status.busy": "2024-04-05T01:18:28.456098Z", + "iopub.status.idle": "2024-04-05T01:18:28.465445Z", + "shell.execute_reply": "2024-04-05T01:18:28.465062Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.456156Z" + } + }, + "outputs": [], + "source": [ + "n = 100\n", + "m = 40\n", + "\n", + "hyperedgeList = [random.sample(range(n), k=random.choice([2,3])) for i in range(m)]\n", + "H = hnx.Hypergraph(hyperedgeList, static=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3a83ee04", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:24.612814Z", + "start_time": "2024-05-16T16:13:24.604964Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.466035Z", + "iopub.status.busy": "2024-04-05T01:18:28.465949Z", + "iopub.status.idle": "2024-04-05T01:18:28.468628Z", + "shell.execute_reply": "2024-04-05T01:18:28.468294Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.466027Z" + } + }, + "outputs": [], + "source": [ + "tau = {2:2, 3:1}\n", + "gamma = 0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a7df1503", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:25.264942Z", + "start_time": "2024-05-16T16:13:25.250964Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.469162Z", + "iopub.status.busy": "2024-04-05T01:18:28.469042Z", + "iopub.status.idle": "2024-04-05T01:18:28.473942Z", + "shell.execute_reply": "2024-04-05T01:18:28.473126Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.469152Z" + } + }, + "outputs": [], + "source": [ + "transition_events = contagion.discrete_SIR(H, tau, gamma, \n", + " rho=0.2, tmin=0, \n", + " tmax=50, dt=1, return_full_data=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "12938dae", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:13:26.133435Z", + "start_time": "2024-05-16T16:13:26.122471Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:28.474601Z", + "iopub.status.busy": "2024-04-05T01:18:28.474470Z", + "iopub.status.idle": "2024-04-05T01:18:28.477778Z", + "shell.execute_reply": "2024-04-05T01:18:28.477366Z", + "shell.execute_reply.started": "2024-04-05T01:18:28.474589Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At time 1, 84 was infected by 0\n", + "At time 1, 38 was infected by 0\n", + "At time 1, 19 was infected by 1\n", + "At time 1, 27 was infected by 1\n", + "At time 1, 66 recovered\n", + "At time 1, 16 was infected by 2\n", + "At time 1, 26 was infected by 3\n", + "At time 1, 37 was infected by 3\n", + "At time 1, 24 was infected by 4\n", + "At time 1, 90 recovered\n", + "At time 1, 40 was infected by 5\n", + "At time 1, 13 was infected by 7\n", + "At time 1, 41 was infected by 7\n", + "At time 1, 51 was infected by 8\n", + "At time 1, 14 was infected by 23\n", + "At time 1, 0 was infected by 18\n", + "At time 1, 77 was infected by 35\n", + "At time 1, 55 was infected by 21\n", + "At time 1, 28 was infected by 23\n", + "At time 1, 59 was infected by 24\n", + "At time 1, 29 was infected by 24\n", + "At time 1, 95 was infected by 32\n", + "At time 1, 53 was infected by 32\n", + "At time 1, 50 was infected by 33\n", + "At time 1, 94 was infected by 35\n", + "At time 1, 62 was infected by 36\n", + "At time 1, 75 was infected by 38\n", + "At time 2, 84 recovered\n", + "At time 2, 33 was infected by 16\n", + "At time 2, 48 recovered\n", + "At time 2, 65 was infected by 9\n", + "At time 2, 60 was infected by 9\n", + "At time 2, 32 was infected by 13\n", + "At time 2, 14 recovered\n", + "At time 2, 45 was infected by 14\n", + "At time 2, 12 was infected by 16\n", + "At time 2, 97 was infected by 19\n", + "At time 2, 35 was infected by 26\n", + "At time 2, 6 was infected by 29\n", + "At time 2, 98 was infected by 30\n", + "At time 2, 76 was infected by 37\n", + "At time 2, 3 was infected by 39\n", + "At time 3, 38 recovered\n", + "At time 3, 91 recovered\n", + "At time 3, 10 was infected by 6\n", + "At time 3, 54 was infected by 6\n", + "At time 3, 65 recovered\n", + "At time 3, 81 was infected by 11\n", + "At time 3, 77 recovered\n", + "At time 3, 5 was infected by 27\n", + "At time 3, 28 recovered\n", + "At time 3, 95 recovered\n", + "At time 3, 34 was infected by 27\n", + "At time 3, 20 was infected by 31\n", + "At time 3, 94 recovered\n", + "At time 4, 22 recovered\n", + "At time 4, 79 recovered\n", + "At time 4, 83 was infected by 17\n", + "At time 4, 25 was infected by 22\n", + "At time 4, 5 recovered\n", + "At time 4, 20 recovered\n", + "At time 4, 75 recovered\n", + "At time 5, 17 recovered\n", + "At time 5, 12 recovered\n", + "At time 6, 27 recovered\n", + "At time 6, 26 recovered\n", + "At time 6, 55 recovered\n", + "At time 6, 50 recovered\n", + "At time 7, 57 recovered\n", + "At time 7, 16 recovered\n", + "At time 7, 45 recovered\n", + "At time 8, 10 recovered\n", + "At time 8, 60 recovered\n", + "At time 8, 83 recovered\n", + "At time 8, 29 recovered\n", + "At time 9, 19 recovered\n", + "At time 12, 81 recovered\n", + "At time 12, 76 recovered\n", + "At time 13, 36 recovered\n", + "At time 13, 33 recovered\n", + "At time 13, 6 recovered\n", + "At time 13, 98 recovered\n", + "At time 14, 70 recovered\n", + "At time 14, 25 recovered\n", + "At time 14, 34 recovered\n", + "At time 15, 97 recovered\n", + "At time 16, 0 recovered\n", + "At time 16, 72 recovered\n", + "At time 17, 53 recovered\n", + "At time 17, 3 recovered\n", + "At time 18, 51 recovered\n", + "At time 19, 62 recovered\n", + "At time 20, 13 recovered\n", + "At time 21, 41 recovered\n", + "At time 23, 35 recovered\n", + "At time 27, 59 recovered\n", + "At time 28, 54 recovered\n", + "At time 29, 63 recovered\n", + "At time 33, 37 recovered\n", + "At time 42, 24 recovered\n", + "At time 44, 32 recovered\n" + ] + } + ], + "source": [ + "for time, events in transition_events.items():\n", + " if events:\n", + " for event in events:\n", + " if event[0] == 'R':\n", + " print(f\"At time {time}, {event[1]} recovered\")\n", + " elif event[0] == 'I' and event[2] is not None:\n", + " print(f\"At time {time}, {event[1]} was infected by {event[2]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "950570a6", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:19:16.570358Z", + "start_time": "2024-05-16T16:19:15.670756Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:19:33.525321Z", + "iopub.status.busy": "2024-04-05T01:19:33.524807Z", + "iopub.status.idle": "2024-04-05T01:19:34.511542Z", + "shell.execute_reply": "2024-04-05T01:19:34.511153Z", + "shell.execute_reply.started": "2024-04-05T01:19:33.525301Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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}, + { + "cell_type": "code", + "execution_count": 27, + "id": "2bc5109e", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:19:34.493550Z", + "start_time": "2024-05-16T16:19:34.466506Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:18:31.138177Z", + "iopub.status.busy": "2024-04-05T01:18:31.138095Z", + "iopub.status.idle": "2024-04-05T01:18:31.141385Z", + "shell.execute_reply": "2024-04-05T01:18:31.141074Z", + "shell.execute_reply.started": "2024-04-05T01:18:31.138169Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At time 1, 84 was infected by 0\n", + "At time 1, 70 was infected by 0\n", + "At time 1, 27 was infected by 10\n", + "At time 1, 66 was infected by 12\n", + "At time 1, 16 was infected by 30\n", + "At time 1, 26 was infected by 3\n", + "At time 1, 37 was infected by 3\n", + "At time 1, 90 was infected by 4\n", + "At time 1, 17 was infected by 35\n", + "At time 1, 86 was infected by 15\n", + "At time 1, 0 was infected by 18\n", + "At time 1, 77 recovered\n", + "At time 1, 59 was infected by 24\n", + "At time 1, 29 was infected by 24\n", + "At time 1, 6 was infected by 29\n", + "At time 1, 52 was infected by 28\n", + "At time 1, 94 was infected by 35\n", + "At time 1, 3 was infected by 39\n", + "At time 2, 38 recovered\n", + "At time 2, 19 was infected by 1\n", + "At time 2, 91 was infected by 1\n", + "At time 2, 66 recovered\n", + "At time 2, 57 was infected by 2\n", + "At time 2, 63 was infected by 5\n", + "At time 2, 40 was infected by 5\n", + "At time 2, 51 was infected by 8\n", + "At time 2, 17 recovered\n", + "At time 2, 65 was infected by 9\n", + "At time 2, 60 was infected by 9\n", + "At time 2, 79 recovered\n", + "At time 2, 14 was infected by 23\n", + "At time 2, 77 was infected by 19\n", + "At time 2, 43 was infected by 20\n", + "At time 2, 55 was infected by 21\n", + "At time 2, 5 was infected by 27\n", + "At time 2, 28 was infected by 23\n", + "At time 2, 95 was infected by 32\n", + "At time 2, 34 was infected by 27\n", + "At time 2, 74 recovered\n", + "At time 2, 53 was infected by 32\n", + "At time 2, 72 was infected by 34\n", + "At time 2, 75 recovered\n", + "At time 3, 38 was infected by 0\n", + "At time 3, 19 recovered\n", + "At time 3, 66 was infected by 2\n", + "At time 3, 26 recovered\n", + "At time 3, 40 recovered\n", + "At time 3, 33 was infected by 25\n", + "At time 3, 17 was infected by 8\n", + "At time 3, 60 recovered\n", + "At time 3, 32 was infected by 13\n", + "At time 3, 79 was infected by 18\n", + "At time 3, 45 was infected by 14\n", + "At time 3, 43 recovered\n", + "At time 3, 25 was infected by 22\n", + "At time 3, 35 was infected by 26\n", + "At time 3, 74 was infected by 28\n", + "At time 3, 50 was infected by 33\n", + "At time 3, 76 was infected by 37\n", + "At time 3, 75 was infected by 38\n", + "At time 4, 19 was infected by 1\n", + "At time 4, 26 was infected by 3\n", + "At time 4, 40 was infected by 5\n", + "At time 4, 10 was infected by 6\n", + "At time 4, 54 was infected by 6\n", + "At time 4, 13 was infected by 16\n", + "At time 4, 51 recovered\n", + "At time 4, 60 was infected by 9\n", + "At time 4, 81 was infected by 11\n", + "At time 4, 12 was infected by 16\n", + "At time 4, 0 recovered\n", + "At time 4, 97 recovered\n", + "At time 4, 43 was infected by 20\n", + "At time 4, 5 recovered\n", + "At time 4, 28 recovered\n", + "At time 4, 6 recovered\n", + "At time 4, 20 was infected by 31\n", + "At time 4, 94 recovered\n", + "At time 5, 70 recovered\n", + "At time 5, 90 recovered\n", + "At time 5, 41 was infected by 7\n", + "At time 5, 48 was infected by 7\n", + "At time 5, 51 was infected by 8\n", + "At time 5, 83 was infected by 17\n", + "At time 5, 0 was infected by 18\n", + "At time 5, 97 was infected by 19\n", + "At time 5, 5 was infected by 22\n", + "At time 5, 28 was infected by 23\n", + "At time 5, 6 was infected by 27\n", + "At time 5, 50 recovered\n", + "At time 5, 94 was infected by 35\n", + "At time 6, 70 was infected by 0\n", + "At time 6, 90 was infected by 4\n", + "At time 6, 53 recovered\n", + "At time 6, 50 was infected by 33\n", + "At time 7, 19 recovered\n", + "At time 7, 40 recovered\n", + "At time 7, 33 recovered\n", + "At time 7, 0 recovered\n", + "At time 7, 28 recovered\n", + "At time 7, 53 was infected by 32\n", + "At time 8, 19 was infected by 1\n", + "At time 8, 16 recovered\n", + "At time 8, 40 was infected by 5\n", + "At time 8, 33 was infected by 6\n", + "At time 8, 0 was infected by 18\n", + "At time 8, 28 was infected by 23\n", + "At time 8, 52 recovered\n", + "At time 8, 3 recovered\n", + "At time 9, 16 was infected by 2\n", + "At time 9, 24 recovered\n", + "At time 9, 14 recovered\n", + "At time 9, 29 recovered\n", + "At time 9, 52 was infected by 28\n", + "At time 9, 98 recovered\n", + "At time 9, 50 recovered\n", + "At time 9, 3 was infected by 39\n", + "At time 10, 24 was infected by 4\n", + "At time 10, 14 was infected by 13\n", + "At time 10, 97 recovered\n", + "At time 10, 29 was infected by 24\n", + "At time 10, 52 recovered\n", + "At time 10, 98 was infected by 30\n", + "At time 10, 50 was infected by 33\n", + "At time 10, 72 recovered\n", + "At time 10, 62 recovered\n", + "At time 11, 48 recovered\n", + "At time 11, 51 recovered\n", + "At time 11, 22 recovered\n", + "At time 11, 97 was infected by 19\n", + "At time 11, 52 was infected by 28\n", + "At time 11, 72 was infected by 34\n", + "At time 11, 94 recovered\n", + "At time 11, 62 was infected by 36\n", + "At time 11, 75 recovered\n", + "At time 12, 84 recovered\n", + "At time 12, 90 recovered\n", + "At time 12, 63 recovered\n", + "At time 12, 48 was infected by 7\n", + "At time 12, 51 was infected by 8\n", + "At time 12, 22 was infected by 10\n", + "At time 12, 45 recovered\n", + "At time 12, 77 recovered\n", + "At time 12, 34 recovered\n", + "At time 12, 6 recovered\n", + "At time 12, 74 recovered\n", + "At time 12, 50 recovered\n", + "At time 12, 94 was infected by 35\n", + "At time 12, 75 was infected by 38\n", + "At time 13, 84 was infected by 0\n", + "At time 13, 90 was infected by 4\n", + "At time 13, 63 was infected by 5\n", + "At time 13, 33 recovered\n", + "At time 13, 51 recovered\n", + "At time 13, 45 was infected by 14\n", + "At time 13, 77 was infected by 19\n", + "At time 13, 34 was infected by 27\n", + "At time 13, 6 was infected by 27\n", + "At time 13, 74 was infected by 28\n", + "At time 13, 50 was infected by 33\n", + "At time 13, 3 recovered\n", + "At time 14, 16 recovered\n", + "At time 14, 26 recovered\n", + "At time 14, 37 recovered\n", + "At time 14, 33 was infected by 6\n", + "At time 14, 13 recovered\n", + "At time 14, 51 was infected by 8\n", + "At time 14, 81 recovered\n", + "At time 14, 86 recovered\n", + "At time 14, 6 recovered\n", + "At time 14, 53 recovered\n", + "At time 14, 76 recovered\n", + "At time 14, 3 was infected by 39\n", + "At time 15, 19 recovered\n", + "At time 15, 16 was infected by 2\n", + "At time 15, 26 was infected by 3\n", + "At time 15, 37 was infected by 3\n", + "At time 15, 13 was infected by 7\n", + "At time 15, 48 recovered\n", + "At time 15, 81 was infected by 11\n", + "At time 15, 86 was infected by 15\n", + "At time 15, 83 recovered\n", + "At time 15, 6 was infected by 27\n", + "At time 15, 53 was infected by 32\n", + "At time 15, 62 recovered\n", + "At time 16, 19 was infected by 1\n", + "At time 16, 66 recovered\n", + "At time 16, 36 recovered\n", + "At time 16, 63 recovered\n", + "At time 16, 10 recovered\n", + "At time 16, 33 recovered\n", + "At time 16, 54 recovered\n", + "At time 16, 48 was infected by 7\n", + "At time 16, 32 recovered\n", + "At time 16, 83 was infected by 17\n", + "At time 16, 29 recovered\n", + "At time 16, 52 recovered\n", + "At time 16, 72 recovered\n", + "At time 16, 62 was infected by 36\n", + "At time 16, 76 was infected by 37\n", + "At time 17, 66 was infected by 2\n", + "At time 17, 36 was infected by 3\n", + "At time 17, 63 was infected by 5\n", + "At time 17, 10 was infected by 17\n", + "At time 17, 33 was infected by 16\n", + "At time 17, 32 was infected by 11\n", + "At time 17, 29 was infected by 24\n", + "At time 17, 52 was infected by 28\n", + "At time 17, 72 was infected by 34\n", + "At time 17, 94 recovered\n", + "At time 17, 75 recovered\n", + "At time 18, 38 recovered\n", + "At time 18, 26 recovered\n", + "At time 18, 24 recovered\n", + "At time 18, 54 was infected by 6\n", + "At time 18, 6 recovered\n", + "At time 18, 20 recovered\n", + "At time 18, 94 was infected by 35\n", + "At time 18, 75 was infected by 38\n", + "At time 19, 38 was infected by 0\n", + "At time 19, 19 recovered\n", + "At time 19, 66 recovered\n", + "At time 19, 26 was infected by 3\n", + "At time 19, 24 was infected by 4\n", + "At time 19, 63 recovered\n", + "At time 19, 51 recovered\n", + "At time 19, 83 recovered\n", + "At time 19, 59 recovered\n", + "At time 19, 6 was infected by 27\n", + "At time 19, 20 was infected by 31\n", + "At time 20, 19 was infected by 1\n", + "At time 20, 91 recovered\n", + "At time 20, 66 was infected by 2\n", + "At time 20, 90 recovered\n", + "At time 20, 63 was infected by 5\n", + "At time 20, 33 recovered\n", + "At time 20, 51 was infected by 8\n", + "At time 20, 83 was infected by 17\n", + "At time 20, 59 was infected by 24\n", + "At time 20, 29 recovered\n", + "At time 20, 52 recovered\n", + "At time 20, 72 recovered\n", + "At time 21, 84 recovered\n", + "At time 21, 91 was infected by 1\n", + "At time 21, 24 recovered\n", + "At time 21, 90 was infected by 4\n", + "At time 21, 33 was infected by 6\n", + "At time 21, 54 recovered\n", + "At time 21, 13 recovered\n", + "At time 21, 48 recovered\n", + "At time 21, 22 recovered\n", + "At time 21, 83 recovered\n", + "At time 21, 55 recovered\n", + "At time 21, 25 recovered\n", + "At time 21, 29 was infected by 24\n", + "At time 21, 52 was infected by 28\n", + "At time 21, 20 recovered\n", + "At time 21, 72 was infected by 34\n", + "At time 22, 84 was infected by 0\n", + "At time 22, 37 recovered\n", + "At time 22, 24 was infected by 4\n", + "At time 22, 54 was infected by 6\n", + "At time 22, 13 was infected by 7\n", + "At time 22, 48 was infected by 7\n", + "At time 22, 22 was infected by 10\n", + "At time 22, 14 recovered\n", + "At time 22, 83 was infected by 17\n", + "At time 22, 55 was infected by 21\n", + "At time 22, 25 was infected by 22\n", + "At time 22, 5 recovered\n", + "At time 22, 59 recovered\n", + "At time 22, 20 was infected by 31\n", + "At time 22, 62 recovered\n", + "At time 23, 16 recovered\n", + "At time 23, 37 was infected by 3\n", + "At time 23, 81 recovered\n", + "At time 23, 14 was infected by 13\n", + "At time 23, 97 recovered\n", + "At time 23, 55 recovered\n", + "At time 23, 5 was infected by 22\n", + "At time 23, 59 was infected by 24\n", + "At time 23, 50 recovered\n", + "At time 23, 62 was infected by 36\n", + "At time 23, 76 recovered\n", + "At time 24, 84 recovered\n", + "At time 24, 16 was infected by 2\n", + "At time 24, 33 recovered\n", + "At time 24, 54 recovered\n", + "At time 24, 48 recovered\n", + "At time 24, 51 recovered\n", + "At time 24, 81 was infected by 11\n", + "At time 24, 14 recovered\n", + "At time 24, 97 was infected by 19\n", + "At time 24, 55 was infected by 21\n", + "At time 24, 95 recovered\n", + "At time 24, 34 recovered\n", + "At time 24, 50 was infected by 33\n", + "At time 24, 76 was infected by 37\n", + "At time 25, 84 was infected by 0\n", + "At time 25, 19 recovered\n", + "At time 25, 26 recovered\n", + "At time 25, 33 was infected by 6\n", + "At time 25, 54 was infected by 6\n", + "At time 25, 13 recovered\n", + "At time 25, 48 was infected by 7\n", + "At time 25, 51 was infected by 8\n", + "At time 25, 65 recovered\n", + "At time 25, 81 recovered\n", + "At time 25, 14 was infected by 13\n", + "At time 25, 83 recovered\n", + "At time 25, 28 recovered\n", + "At time 25, 29 recovered\n", + "At time 25, 95 was infected by 32\n", + "At time 25, 34 was infected by 27\n", + "At time 26, 19 was infected by 1\n", + "At time 26, 26 was infected by 3\n", + "At time 26, 37 recovered\n", + "At time 26, 13 was infected by 7\n", + "At time 26, 48 recovered\n", + "At time 26, 65 was infected by 9\n", + "At time 26, 32 recovered\n", + "At time 26, 81 was infected by 11\n", + "At time 26, 45 recovered\n", + "At time 26, 86 recovered\n", + "At time 26, 83 was infected by 17\n", + "At time 26, 28 was infected by 23\n", + "At time 26, 29 was infected by 24\n", + "At time 27, 91 recovered\n", + "At time 27, 37 was infected by 3\n", + "At time 27, 40 recovered\n", + "At time 27, 48 was infected by 7\n", + "At time 27, 51 recovered\n", + "At time 27, 32 was infected by 11\n", + "At time 27, 45 was infected by 14\n", + "At time 27, 86 was infected by 15\n", + "At time 27, 55 recovered\n", + "At time 27, 28 recovered\n", + "At time 28, 38 recovered\n", + "At time 28, 91 was infected by 1\n", + "At time 28, 36 recovered\n", + "At time 28, 40 was infected by 5\n", + "At time 28, 33 recovered\n", + "At time 28, 41 recovered\n", + "At time 28, 51 was infected by 8\n", + "At time 28, 45 recovered\n", + "At time 28, 55 was infected by 21\n", + "At time 28, 25 recovered\n", + "At time 28, 28 was infected by 23\n", + "At time 28, 29 recovered\n", + "At time 28, 95 recovered\n", + "At time 29, 38 was infected by 0\n", + "At time 29, 27 recovered\n", + "At time 29, 36 was infected by 3\n", + "At time 29, 24 recovered\n", + "At time 29, 33 was infected by 6\n", + "At time 29, 41 was infected by 7\n", + "At time 29, 48 recovered\n", + "At time 29, 81 recovered\n", + "At time 29, 45 was infected by 14\n", + "At time 29, 77 recovered\n", + "At time 29, 25 was infected by 22\n", + "At time 29, 28 recovered\n", + "At time 29, 29 was infected by 24\n", + "At time 29, 95 was infected by 32\n", + "At time 29, 3 recovered\n", + "At time 30, 84 recovered\n", + "At time 30, 70 recovered\n", + "At time 30, 27 was infected by 1\n", + "At time 30, 91 recovered\n", + "At time 30, 24 was infected by 4\n", + "At time 30, 48 was infected by 7\n", + "At time 30, 81 was infected by 11\n", + "At time 30, 0 recovered\n", + "At time 30, 77 was infected by 19\n", + "At time 30, 25 recovered\n", + "At time 30, 28 was infected by 23\n", + "At time 30, 29 recovered\n", + "At time 30, 6 recovered\n", + "At time 30, 62 recovered\n", + "At time 30, 3 was infected by 39\n", + "At time 31, 84 was infected by 0\n", + "At time 31, 70 was infected by 0\n", + "At time 31, 91 was infected by 1\n", + "At time 31, 57 recovered\n", + "At time 31, 63 recovered\n", + "At time 31, 22 recovered\n", + "At time 31, 0 was infected by 18\n", + "At time 31, 25 was infected by 22\n", + "At time 31, 29 was infected by 24\n", + "At time 31, 6 was infected by 27\n", + "At time 31, 62 was infected by 36\n", + "At time 32, 84 recovered\n", + "At time 32, 38 recovered\n", + "At time 32, 91 recovered\n", + "At time 32, 57 was infected by 2\n", + "At time 32, 63 was infected by 5\n", + "At time 32, 13 recovered\n", + "At time 32, 22 was infected by 10\n", + "At time 33, 84 was infected by 0\n", + "At time 33, 38 was infected by 0\n", + "At time 33, 19 recovered\n", + "At time 33, 27 recovered\n", + "At time 33, 91 was infected by 1\n", + "At time 33, 13 was infected by 7\n", + "At time 33, 83 recovered\n", + "At time 33, 59 recovered\n", + "At time 33, 35 recovered\n", + "At time 33, 50 recovered\n", + "At time 33, 76 recovered\n", + "At time 34, 84 recovered\n", + "At time 34, 19 was infected by 1\n", + "At time 34, 27 was infected by 1\n", + "At time 34, 26 recovered\n", + "At time 34, 81 recovered\n", + "At time 34, 86 recovered\n", + "At time 34, 83 was infected by 17\n", + "At time 34, 59 was infected by 24\n", + "At time 34, 35 was infected by 26\n", + "At time 34, 50 was infected by 33\n", + "At time 34, 76 was infected by 37\n", + "At time 35, 84 was infected by 0\n", + "At time 35, 26 was infected by 3\n", + "At time 35, 22 recovered\n", + "At time 35, 81 was infected by 11\n", + "At time 35, 86 was infected by 15\n", + "At time 35, 34 recovered\n", + "At time 35, 98 recovered\n", + "At time 36, 22 was infected by 10\n", + "At time 36, 34 was infected by 27\n", + "At time 36, 98 was infected by 30\n", + "At time 36, 50 recovered\n", + "At time 36, 76 recovered\n", + "At time 37, 13 recovered\n", + "At time 37, 32 recovered\n", + "At time 37, 83 recovered\n", + "At time 37, 28 recovered\n", + "At time 37, 34 recovered\n", + "At time 37, 50 was infected by 33\n", + "At time 37, 62 recovered\n", + "At time 37, 76 was infected by 37\n", + "At time 38, 19 recovered\n", + "At time 38, 26 recovered\n", + "At time 38, 13 was infected by 7\n", + "At time 38, 32 was infected by 11\n", + "At time 38, 81 recovered\n", + "At time 38, 23 recovered\n", + "At time 38, 83 was infected by 17\n", + "At time 38, 25 recovered\n", + "At time 38, 28 was infected by 23\n", + "At time 38, 34 was infected by 27\n", + "At time 38, 6 recovered\n", + "At time 38, 53 recovered\n", + "At time 38, 62 was infected by 36\n", + "At time 39, 19 was infected by 1\n", + "At time 39, 91 recovered\n", + "At time 39, 66 recovered\n", + "At time 39, 26 was infected by 3\n", + "At time 39, 48 recovered\n", + "At time 39, 65 recovered\n", + "At time 39, 81 was infected by 11\n", + "At time 39, 23 was infected by 15\n", + "At time 39, 25 was infected by 22\n", + "At time 39, 59 recovered\n", + "At time 39, 6 was infected by 27\n", + "At time 39, 53 was infected by 32\n", + "At time 40, 19 recovered\n", + "At time 40, 91 was infected by 1\n", + "At time 40, 66 was infected by 2\n", + "At time 40, 40 recovered\n", + "At time 40, 48 was infected by 7\n", + "At time 40, 65 was infected by 9\n", + "At time 40, 59 was infected by 24\n", + "At time 40, 98 recovered\n", + "At time 41, 19 was infected by 1\n", + "At time 41, 40 was infected by 5\n", + "At time 41, 48 recovered\n", + "At time 41, 51 recovered\n", + "At time 41, 60 recovered\n", + "At time 41, 22 recovered\n", + "At time 41, 14 recovered\n", + "At time 41, 29 recovered\n", + "At time 41, 74 recovered\n", + "At time 41, 98 was infected by 30\n", + "At time 41, 76 recovered\n", + "At time 42, 70 recovered\n", + "At time 42, 40 recovered\n", + "At time 42, 33 recovered\n", + "At time 42, 48 was infected by 7\n", + "At time 42, 51 was infected by 8\n", + "At time 42, 60 was infected by 9\n", + "At time 42, 22 was infected by 10\n", + "At time 42, 14 was infected by 13\n", + "At time 42, 97 recovered\n", + "At time 42, 29 was infected by 24\n", + "At time 42, 74 was infected by 28\n", + "At time 42, 76 was infected by 37\n", + "At time 43, 70 was infected by 0\n", + "At time 43, 63 recovered\n", + "At time 43, 40 was infected by 5\n", + "At time 43, 33 was infected by 6\n", + "At time 43, 54 recovered\n", + "At time 43, 79 recovered\n", + "At time 43, 97 was infected by 19\n", + "At time 43, 55 recovered\n", + "At time 43, 59 recovered\n", + "At time 43, 95 recovered\n", + "At time 43, 94 recovered\n", + "At time 44, 90 recovered\n", + "At time 44, 63 was infected by 5\n", + "At time 44, 54 was infected by 6\n", + "At time 44, 17 recovered\n", + "At time 44, 60 recovered\n", + "At time 44, 79 was infected by 12\n", + "At time 44, 55 was infected by 21\n", + "At time 44, 59 was infected by 24\n", + "At time 44, 95 was infected by 25\n", + "At time 44, 50 recovered\n", + "At time 44, 94 was infected by 35\n", + "At time 45, 90 was infected by 4\n", + "At time 45, 17 was infected by 8\n", + "At time 45, 60 was infected by 9\n", + "At time 45, 81 recovered\n", + "At time 45, 50 was infected by 33\n", + "At time 45, 62 recovered\n", + "At time 46, 36 recovered\n", + "At time 46, 81 was infected by 11\n", + "At time 46, 72 recovered\n", + "At time 46, 94 recovered\n", + "At time 46, 62 was infected by 36\n", + "At time 47, 66 recovered\n", + "At time 47, 36 was infected by 3\n", + "At time 47, 63 recovered\n", + "At time 47, 54 recovered\n", + "At time 47, 41 recovered\n", + "At time 47, 22 recovered\n", + "At time 47, 52 recovered\n", + "At time 47, 20 recovered\n", + "At time 47, 50 recovered\n", + "At time 47, 72 was infected by 34\n", + "At time 47, 94 was infected by 35\n", + "At time 48, 84 recovered\n", + "At time 48, 66 was infected by 2\n", + "At time 48, 63 was infected by 5\n", + "At time 48, 54 was infected by 6\n", + "At time 48, 13 recovered\n", + "At time 48, 41 was infected by 7\n", + "At time 48, 48 recovered\n", + "At time 48, 22 was infected by 10\n", + "At time 48, 45 recovered\n", + "At time 48, 43 recovered\n", + "At time 48, 52 was infected by 28\n", + "At time 48, 20 was infected by 31\n", + "At time 48, 50 was infected by 33\n", + "At time 49, 84 was infected by 0\n", + "At time 49, 38 recovered\n", + "At time 49, 13 was infected by 7\n", + "At time 49, 48 was infected by 7\n", + "At time 49, 45 was infected by 14\n", + "At time 49, 77 recovered\n", + "At time 49, 43 was infected by 20\n", + "At time 49, 25 recovered\n", + "At time 49, 35 recovered\n", + "At time 49, 52 recovered\n", + "At time 50, 84 recovered\n", + "At time 50, 38 was infected by 0\n", + "At time 50, 26 recovered\n", + "At time 50, 37 recovered\n", + "At time 50, 90 recovered\n", + "At time 50, 77 was infected by 19\n", + "At time 50, 25 was infected by 22\n", + "At time 50, 35 was infected by 26\n", + "At time 50, 52 was infected by 28\n", + "At time 50, 76 recovered\n" + ] + } + ], + "source": [ + "for time, events in transition_events2.items():\n", + " if events:\n", + " for event in events:\n", + " if event[0] == 'S':\n", + " print(f\"At time {time}, {event[1]} recovered\")\n", + " elif event[0] == 'I' and event[2] is not None:\n", + " print(f\"At time {time}, {event[1]} was infected by {event[2]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "82bc96f9", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T16:19:41.390663Z", + "start_time": "2024-05-16T16:19:40.505749Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T01:19:14.132575Z", + "iopub.status.busy": "2024-04-05T01:19:14.131890Z", + "iopub.status.idle": "2024-04-05T01:19:15.148185Z", + "shell.execute_reply": "2024-04-05T01:19:15.147878Z", + "shell.execute_reply.started": "2024-04-05T01:19:14.132546Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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Other choices are 'strict'\n", + "and 'majority', or any user-supplied function with the following format:\n", + "\n", + "```python\n", + "def quad(d,c):\n", + " return (c/d)**2 if c>d/2 else 0\n", + "hmod.hypergraph_modularity(H, A, wcd=quad)\n", + "```\n", + "\n", + "where $d$ is the edge size, and $c$ is the number of nodes in the majority class, $d \\geq c > \\frac{d}{2}$\n", + "\n", + "### Two-section graph\n", + "\n", + "Build the random-walk based $2$-section graph given some hypergraph H:\n", + "\n", + "```python\n", + "G = hmod.two_section(H)\n", + "```\n", + "\n", + "where G is an igraph graph.\n", + "\n", + "### Clustering: Kumar algorithm\n", + "\n", + "Given hypergraph H, compute a partition of the vertices as per Kumar's algorithm described in [1].\n", + "\n", + "```python\n", + "K = hmod.kumar(H, delta=.01)\n", + "```\n", + "\n", + "where delta is the convergence stopping criterion. Partition is returned as a list of sets.\n", + "\n", + "[1] Kumar T., Vaidyanathan S., Ananthapadmanabhan H., Parthasarathy S., Ravindran B. (2020) *A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering*. In: Cherifi H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-36687-2_24\n", + "\n", + "\n", + "### Clustering: Simple qH-based algorithm\n", + "\n", + "Given hypergraph H and initial partition A, compute a partition of the vertices as per Last-Step algorithm described in [2].\n", + "\n", + "```python\n", + "LS = hmod.last_step(H, A, wdc=hmod.linear, delta = .01)\n", + "```\n", + "\n", + "where 'wcd' is the the weight function (default = 'linear') and delta is the convergence stopping criterion.\n", + "Returned partition is a list of sets.\n", + "\n", + "[2] Kamiński B., Prałat P. and Théberge F. “Community Detection Algorithm Using Hypergraph Modularity”. In: Benito R.M., Cherifi C., Cherifi H., Moro E., Rocha L.M., Sales-Pardo M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_13\n", + "\n", + "### Utility functions\n", + "\n", + "We use two representations for partitions: list of sets (the parts) or dictionary.\n", + "Those functions are used to map from one to the other:\n", + "\n", + "```python\n", + "hmod.dict2part(D)\n", + "hmod.part2dict(A)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Toy example" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:29.020997Z", + "start_time": "2024-05-16T22:55:28.976675Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.157753Z", + "iopub.status.busy": "2024-04-05T17:46:14.157600Z", + "iopub.status.idle": "2024-04-05T17:46:14.177972Z", + "shell.execute_reply": "2024-04-05T17:46:14.177721Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.157745Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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"iopub.execute_input": "2024-04-05T17:46:14.178512Z", + "iopub.status.busy": "2024-04-05T17:46:14.178395Z", + "iopub.status.idle": "2024-04-05T17:46:14.306593Z", + "shell.execute_reply": "2024-04-05T17:46:14.290485Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.178504Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(6,5))\n", + "hnx.draw(Toy, **kwargs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# hypergraph modularity qH\n", + "\n", + "We compute qH on the toy graph for 4 different partitions, and using different variations for the edge contribution.\n", + "\n", + "For edges of size $d$ where $c$ is the number of nodes from the part with the most representatives, we consider variations as follows for edge contribution:\n", + "\n", + "* **strict**: edges are considered only if all nodes are from the same part, with unit weight, i.e. $w$ = 1 iff $c == d$ (0 else).\n", + "* **cubic**: edges are counted only if more that half the nodes are from the same part, with weights proportional to the cube of the number of nodes in the majority, i.e. $w = (c/d)^3$ iff $c>d/2$ (0 else).\n", + "* **quadratic**: edges are counted only if more that half the nodes are from the same part, with weights proportional to the square of the number of nodes in the majority, i.e. $w = (c/d)^2$ iff $c>d/2$ (0 else).\n", + "* **linear**: edges are counted only if more that half the nodes are from the same part, with weights proportional to the number of nodes in the majority, i.e. $w = c/d$ iff $c>d/2$ (0 else).\n", + "* **majority**: edges are counted only if more that half the nodes are from the same part, with unit weights, i.e. $w$ = 1 iff $c>d/2$ (0 else).\n", + "\n", + "Some of the above are supplied with the `hmod` module, the **qH2** and **qH3** functions are examples of user-supplied choice.\n", + "\n", + "The order above goes from only counting \"pure\" edges as community edges, gradually giving more weight to edges with $c>d/2$, all the way to giving the the same weights.\n", + "\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:32.100737Z", + "start_time": "2024-05-16T22:55:32.038550Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.307832Z", + "iopub.status.busy": "2024-04-05T17:46:14.307634Z", + "iopub.status.idle": "2024-04-05T17:46:14.369747Z", + "shell.execute_reply": "2024-04-05T17:46:14.368707Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.307813Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "strict edge contribution:\n", + "qH(A1): 0.3659 qH(A2): -0.0401 qH(A3): 0.0000 qH(A4): -0.1088\n", + "\n", + "cubic edge contribution:\n", + "qH(A1): 0.3659 qH(A2): -0.0538 qH(A3): 0.0000 qH(A4): -0.1291\n", + "\n", + "quadratic edge contribution:\n", + "qH(A1): 0.3615 qH(A2): -0.0563 qH(A3): 0.0000 qH(A4): -0.1384\n", + "\n", + "linear edge contribution:\n", + "qH(A1): 0.3535 qH(A2): -0.0586 qH(A3): 0.0000 qH(A4): -0.1520\n", + "\n", + "majority edge contribution:\n", + "qH(A1): 0.3394 qH(A2): -0.0602 qH(A3): 0.0000 qH(A4): -0.1721\n" + ] + } + ], + "source": [ + "## Examples of user-supplied weight functions \n", + "## square modularity \n", + "def qH2(d,c):\n", + " return (c/d)**2 if c > d/2 else 0\n", + "## cubic modularity\n", + "def qH3(d,c):\n", + " return (c/d)**3 if c > d/2 else 0\n", + "\n", + "## compute hypergraph modularity (qH) for the following partitions:\n", + "A1 = [{'A','B','C','G'},{'D','E','F'}] ## good clustering, qH should be positive\n", + "A2 = [{'B','C'},{'A','D','E','F','G'}] ## not so good\n", + "A3 = [{'A','B','C','D','E','F','G'}] ## this should yield qH == 0\n", + "A4 = [{'A'},{'B'},{'C'},{'D'},{'E'},{'F'},{'G'}] ## qH should be negative here\n", + "\n", + "## we compute with different choices of functions for the edge contribution\n", + "\n", + "print('strict edge contribution:')\n", + "print('qH(A1):',\"{:.4f}\".format(hmod.modularity(Toy,A1,hmod.strict)),\n", + " 'qH(A2):',\"{:.4f}\".format(hmod.modularity(Toy,A2,hmod.strict)),\n", + " 'qH(A3):',\"{:.4f}\".format(hmod.modularity(Toy,A3,hmod.strict)),\n", + " 'qH(A4):',\"{:.4f}\".format(hmod.modularity(Toy,A4,hmod.strict)))\n", + "print('\\ncubic edge contribution:')\n", + "print('qH(A1):',\"{:.4f}\".format(hmod.modularity(Toy,A1,qH3)),\n", + " 'qH(A2):',\"{:.4f}\".format(hmod.modularity(Toy,A2,qH3)),\n", + " 'qH(A3):',\"{:.4f}\".format(hmod.modularity(Toy,A3,qH3)),\n", + " 'qH(A4):',\"{:.4f}\".format(hmod.modularity(Toy,A4,qH3)))\n", + "print('\\nquadratic edge contribution:')\n", + "print('qH(A1):',\"{:.4f}\".format(hmod.modularity(Toy,A1,qH2)),\n", + " 'qH(A2):',\"{:.4f}\".format(hmod.modularity(Toy,A2,qH2)),\n", + " 'qH(A3):',\"{:.4f}\".format(hmod.modularity(Toy,A3,qH2)),\n", + " 'qH(A4):',\"{:.4f}\".format(hmod.modularity(Toy,A4,qH2)))\n", + "print('\\nlinear edge contribution:')\n", + "print('qH(A1):',\"{:.4f}\".format(hmod.modularity(Toy,A1,hmod.linear)),\n", + " 'qH(A2):',\"{:.4f}\".format(hmod.modularity(Toy,A2,hmod.linear)),\n", + " 'qH(A3):',\"{:.4f}\".format(hmod.modularity(Toy,A3,hmod.linear)),\n", + " 'qH(A4):',\"{:.4f}\".format(hmod.modularity(Toy,A4,hmod.linear)))\n", + "print('\\nmajority edge contribution:')\n", + "print('qH(A1):',\"{:.4f}\".format(hmod.modularity(Toy,A1,hmod.majority)),\n", + " 'qH(A2):',\"{:.4f}\".format(hmod.modularity(Toy,A2,hmod.majority)),\n", + " 'qH(A3):',\"{:.4f}\".format(hmod.modularity(Toy,A3,hmod.majority)),\n", + " 'qH(A4):',\"{:.4f}\".format(hmod.modularity(Toy,A4,hmod.majority)));\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:33.325700Z", + "start_time": "2024-05-16T22:55:33.218485Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.370679Z", + "iopub.status.busy": "2024-04-05T17:46:14.370552Z", + "iopub.status.idle": "2024-04-05T17:46:14.469106Z", + "shell.execute_reply": "2024-04-05T17:46:14.466855Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.370670Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## 2-section graph\n", + "G = hmod.two_section(Toy)\n", + "G.vs['label'] = G.vs['name']\n", + "fig, ax = plt.subplots(figsize=(6,6))\n", + "ig.plot(G, target=ax, vertex_color='lightblue',edge_width = 2*np.array(G.es['weight']));" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### clustering the toy graph\n", + "\n", + "Looking at the plots above, we see a 4-clique for the 2-section graph, which most graph clustering algorithms should recover as a part if edge weights are ignored. \n", + "However, looking at the hypergraph itself, nodes A-B-C are more tightly connected, and a hypergraph-based algorithm is likely to keep those together.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:36.112747Z", + "start_time": "2024-05-16T22:55:36.103472Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.471774Z", + "iopub.status.busy": "2024-04-05T17:46:14.471231Z", + "iopub.status.idle": "2024-04-05T17:46:14.476413Z", + "shell.execute_reply": "2024-04-05T17:46:14.475495Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.471756Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'B', 'C', 'G'}, {'A', 'D', 'E', 'F'}]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## 2-section clustering with Leiden - ignoring edge weights\n", + "G.vs['community'] = G.community_leiden(objective_function='modularity').membership\n", + "hmod.dict2part({v['name']:v['community'] for v in G.vs})\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:37.094754Z", + "start_time": "2024-05-16T22:55:37.084540Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.484413Z", + "iopub.status.busy": "2024-04-05T17:46:14.483716Z", + "iopub.status.idle": "2024-04-05T17:46:14.522874Z", + "shell.execute_reply": "2024-04-05T17:46:14.522597Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.484393Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'A', 'B', 'C', 'G'}, {'D', 'E', 'F'}]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## 2-section clustering with Leiden - with edge weights\n", + "G.vs['community'] = G.community_leiden(objective_function='modularity', weights='weight').membership\n", + "hmod.dict2part({v['name']:v['community'] for v in G.vs})\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:38.113563Z", + "start_time": "2024-05-16T22:55:38.086216Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.523452Z", + "iopub.status.busy": "2024-04-05T17:46:14.523355Z", + "iopub.status.idle": "2024-04-05T17:46:14.534501Z", + "shell.execute_reply": "2024-04-05T17:46:14.534231Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.523442Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'A', 'B', 'C', 'G'}, {'D', 'E', 'F'}]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## Clustering with Kumar's algorithm\n", + "hmod.kumar(Toy)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:39.181271Z", + "start_time": "2024-05-16T22:55:39.156219Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.535040Z", + "iopub.status.busy": "2024-04-05T17:46:14.534945Z", + "iopub.status.idle": "2024-04-05T17:46:14.543726Z", + "shell.execute_reply": "2024-04-05T17:46:14.543394Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.535033Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "start from: [{'A'}, {'B'}, {'C'}, {'D'}, {'E'}, {'F'}, {'G'}]\n", + "final partition: [{'A'}, {'B'}, {'C'}, {'D'}, {'E'}, {'F'}, {'G'}]\n" + ] + } + ], + "source": [ + "## hypergraph clustering -- start from trivial partition A4 defined above\n", + "print('start from:', A4)\n", + "A = hmod.last_step(Toy, A4)\n", + "A = [s for s in A if len(s)>0] ## drop empty parts\n", + "print('final partition:',A)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chung-Lu hypergraph example\n", + "\n", + "We build a Chung-Lu hypergraph and compute modularity for partitions from 3 algorithms:\n", + "* Louvain, on the 2-section graph\n", + "* Kumar algorithm\n", + "* LastStep algorithm\n", + "\n", + "We use the **strict** modularity, so only edges where all vertices are in the same part will add to the modularity.\n", + "For each algorithm, we compute the modularity qH and compare with the number of edges where all vertices are in the same part.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:41.857974Z", + "start_time": "2024-05-16T22:55:41.813814Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.544445Z", + "iopub.status.busy": "2024-04-05T17:46:14.544322Z", + "iopub.status.idle": "2024-04-05T17:46:14.557470Z", + "shell.execute_reply": "2024-04-05T17:46:14.557169Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.544435Z" + } + }, + "outputs": [], + "source": [ + "## Chung-Lu hypergraph\n", + "random.seed(123)\n", + "n = 200\n", + "k1 = {i : random.randint(2, 10) for i in range(n)} ## node degrees\n", + "k2 = {i : sorted(k1.values())[i] for i in range(n)} ## edge sizes\n", + "CL = gm.chung_lu_hypergraph(k1, k2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:43.000798Z", + "start_time": "2024-05-16T22:55:42.942005Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.558059Z", + "iopub.status.busy": "2024-04-05T17:46:14.557944Z", + "iopub.status.idle": "2024-04-05T17:46:14.588336Z", + "shell.execute_reply": "2024-04-05T17:46:14.588038Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.558052Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.041481262743992074\n", + "number of edges with all vertices in same part: 20\n" + ] + } + ], + "source": [ + "## Louvain algorithm on the 2-section graph\n", + "random.seed(123)\n", + "G = hmod.two_section(CL)\n", + "G.vs['louvain'] = G.community_multilevel().membership\n", + "D = {v['name']:v['louvain'] for v in G.vs}\n", + "ML = hmod.dict2part(D)\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(CL, ML, hmod.strict))\n", + "\n", + "## number of edges where all vertices belong to the same community\n", + "print('number of edges with all vertices in same part:',\n", + " sum([len(set([D[v] for v in CL.edges[e]]))==1 for e in CL.edges()]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:45.332015Z", + "start_time": "2024-05-16T22:55:44.005380Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:14.588888Z", + "iopub.status.busy": "2024-04-05T17:46:14.588787Z", + "iopub.status.idle": "2024-04-05T17:46:15.882983Z", + "shell.execute_reply": "2024-04-05T17:46:15.882736Z", + "shell.execute_reply.started": "2024-04-05T17:46:14.588880Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.18694795415331567\n", + "edges with all vertices in same part: 48\n" + ] + } + ], + "source": [ + "## Kumar algorithm\n", + "random.seed(123)\n", + "KU = hmod.kumar(CL)\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(CL, KU, hmod.strict))\n", + "\n", + "## number of edges where all vertices belong to the same community\n", + "print('edges with all vertices in same part:',\n", + " sum([len(set([hmod.part2dict(KU)[v] for v in CL.edges[e]]))==1 for e in CL.edges()]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:45.800350Z", + "start_time": "2024-05-16T22:55:45.333113Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:15.883598Z", + "iopub.status.busy": "2024-04-05T17:46:15.883495Z", + "iopub.status.idle": "2024-04-05T17:46:16.347138Z", + "shell.execute_reply": "2024-04-05T17:46:16.346824Z", + "shell.execute_reply.started": "2024-04-05T17:46:15.883590Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.18694795415331567\n", + "edges with all vertices in same part: 48\n" + ] + } + ], + "source": [ + "## Last-step algorithm using previous result as initial partition\n", + "random.seed(123)\n", + "LS = hmod.last_step(CL, KU, hmod.strict)\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(CL, LS, hmod.strict))\n", + "\n", + "## number of edges where all vertices belong to the same community\n", + "print('edges with all vertices in same part:',\n", + " sum([len(set([hmod.part2dict(LS)[v] for v in CL.edges[e]]))==1 for e in CL.edges()]))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Game of Thrones scenes hypergraph\n", + "\n", + "REF: https://github.com/jeffreylancaster/game-of-thrones\n", + "\n", + "We built an hypergraph from the game of thrones scenes with he following elements:\n", + "\n", + "* **Nodes** are characters in the series\n", + "* **Hyperedges** are groups of character appearing in the same scene(s)\n", + "* **Hyperedge weights** are total scene(s) duration in seconds involving those characters\n", + "\n", + "We kept hyperedges with at least 2 characters.\n", + "\n", + "We saved the following:\n", + "\n", + "* *Edges*: list of sets where the nodes are 0-based integers represents as strings\n", + "* *Names*: dictionary; mapping of nodes to character names\n", + "* *Weights*: list; hyperedge weights (in same order as Edges)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:47.891429Z", + "start_time": "2024-05-16T22:55:47.862459Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:16.347717Z", + "iopub.status.busy": "2024-04-05T17:46:16.347614Z", + "iopub.status.idle": "2024-04-05T17:46:16.352361Z", + "shell.execute_reply": "2024-04-05T17:46:16.352110Z", + "shell.execute_reply.started": "2024-04-05T17:46:16.347708Z" + }, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "198 nodes and 1492 edges\n" + ] + } + ], + "source": [ + "## load the GoT dataset\n", + "Edges, Names, Weights = pickle.load(open( \"../../hypernetx/utils/toys/GoT.pkl\", \"rb\" ))\n", + "print(len(Names),'nodes and',len(Edges),'edges')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Build weighted GoT hypergraph " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:50.789454Z", + "start_time": "2024-05-16T22:55:50.276602Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:16.352986Z", + "iopub.status.busy": "2024-04-05T17:46:16.352876Z", + "iopub.status.idle": "2024-04-05T17:46:16.715908Z", + "shell.execute_reply": "2024-04-05T17:46:16.715600Z", + "shell.execute_reply.started": "2024-04-05T17:46:16.352979Z" + } + }, + "outputs": [], + "source": [ + "## Nodes are represented as strings from '0' to 'n-1'\n", + "GoT= hnx.Hypergraph(dict(enumerate(Edges)))\n", + "\n", + "## add edge weights\n", + "for e in GoT.edges:\n", + " GoT.edges[e].weight = Weights[e]\n", + "\n", + "## add full names\n", + "for v in GoT.nodes:\n", + " GoT.nodes[v].name = Names[v]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Modularity (qH) on a random partition\n", + "\n", + "We use the default choice for the modularity (**linear** weights).\n", + "Result for the random partition should be close to 0 and can be negative." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:52.699884Z", + "start_time": "2024-05-16T22:55:52.559964Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:16.716333Z", + "iopub.status.busy": "2024-04-05T17:46:16.716263Z", + "iopub.status.idle": "2024-04-05T17:46:16.786805Z", + "shell.execute_reply": "2024-04-05T17:46:16.786547Z", + "shell.execute_reply.started": "2024-04-05T17:46:16.716326Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.01080231177417747\n" + ] + } + ], + "source": [ + "## generate a random partition into K parts to compare results\n", + "np.random.seed(123)\n", + "K = 5\n", + "V = list(GoT.nodes)\n", + "p = np.random.choice(K, size=len(V))\n", + "RandPart = hmod.dict2part({V[i]:p[i] for i in range(len(V))})\n", + "## compute qH\n", + "print('qH =',hmod.modularity(GoT, RandPart))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate the 2-section graph and cluster with Louvain Algorithm\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:55:55.034698Z", + "start_time": "2024-05-16T22:55:54.830774Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:16.787336Z", + "iopub.status.busy": "2024-04-05T17:46:16.787254Z", + "iopub.status.idle": "2024-04-05T17:46:16.896500Z", + "shell.execute_reply": "2024-04-05T17:46:16.896245Z", + "shell.execute_reply.started": "2024-04-05T17:46:16.787328Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.5372359319251632\n" + ] + } + ], + "source": [ + "## build 2-section\n", + "G = hmod.two_section(GoT)\n", + "\n", + "## Louvain algorithm\n", + "random.seed(123)\n", + "G.vs['louvain'] = G.community_multilevel(weights='weight').membership\n", + "ML = hmod.dict2part({v['name']:v['louvain'] for v in G.vs})\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(GoT, ML))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cluster hypergraph with Kumar's algorithm\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:56:00.808169Z", + "start_time": "2024-05-16T22:55:56.571391Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:16.897061Z", + "iopub.status.busy": "2024-04-05T17:46:16.896984Z", + "iopub.status.idle": "2024-04-05T17:46:19.391555Z", + "shell.execute_reply": "2024-04-05T17:46:19.391267Z", + "shell.execute_reply.started": "2024-04-05T17:46:16.897054Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.5388716472147328\n" + ] + } + ], + "source": [ + "## run Kumar's algorithm, get partition\n", + "random.seed(123)\n", + "KU = hmod.kumar(GoT)\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(GoT, KU))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cluster with simple H-based (Last Step) Algorithm\n", + "\n", + "We use Louvain on the 2-section or Kumar algorithm for the initial partition" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:56:02.193842Z", + "start_time": "2024-05-16T22:56:00.809355Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:19.392236Z", + "iopub.status.busy": "2024-04-05T17:46:19.392131Z", + "iopub.status.idle": "2024-04-05T17:46:20.640336Z", + "shell.execute_reply": "2024-04-05T17:46:20.640077Z", + "shell.execute_reply.started": "2024-04-05T17:46:19.392226Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "qH = 0.5372359319251632\n" + ] + } + ], + "source": [ + "## H-based last step with Louvain parition already computed\n", + "np.random.seed(123)\n", + "LS = hmod.last_step(GoT, ML)\n", + "\n", + "## Compute qH\n", + "print('qH =',hmod.modularity(GoT, LS))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example: show top degree nodes in same cluster as Daenerys Targaryen\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:56:02.201241Z", + "start_time": "2024-05-16T22:56:02.195145Z" + }, + "execution": { + "iopub.execute_input": "2024-04-05T17:46:20.640869Z", + "iopub.status.busy": "2024-04-05T17:46:20.640799Z", + "iopub.status.idle": "2024-04-05T17:46:20.644900Z", + "shell.execute_reply": "2024-04-05T17:46:20.644536Z", + "shell.execute_reply.started": "2024-04-05T17:46:20.640863Z" + } + }, + "outputs": [ + { + "data": { + 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" + ], + "text/plain": [ + " character degree\n", + "17 Daenerys Targaryen 232\n", + "14 Jorah Mormont 121\n", + "15 Missandei 95\n", + "1 Drogon 84\n", + "4 Grey Worm 83" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## Index for the characters\n", + "inv_map = {v: k for k, v in Names.items()}\n", + "DT = inv_map['Daenerys Targaryen']\n", + "\n", + "## DT's cluster\n", + "DT_part = hmod.part2dict(LS)[DT]\n", + "\n", + "## Build dataframe: all nodes in DT_part\n", + "L = []\n", + "for n in LS[DT_part]:\n", + " L.append([Names[n], GoT.degree(n)])\n", + "D = pd.DataFrame(L, columns=['character','degree'])\n", + "\n", + "## show top members\n", + "D.sort_values(by='degree',ascending=False).head(5)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "hnx", + "language": "python", + "name": "hnx" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/advanced/Tutorial 10 - Hypergraph Modularity and Clustering.ipynb b/tutorials/advanced/Tutorial 10 - Hypergraph Modularity and Clustering.ipynb deleted file mode 100644 index 2dad0ad8..00000000 --- a/tutorials/advanced/Tutorial 10 - Hypergraph Modularity and Clustering.ipynb +++ /dev/null @@ -1,647 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import pickle\n", - "import random\n", - "\n", - "import igraph as ig\n", - "import hypernetx as hnx\n", - "import hypernetx.algorithms.hypergraph_modularity as hmod\n", - "import hypernetx.algorithms.generative_models as gm\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Main functions for Hypergraph Modularity using HyperNetX\n", - "\n", - "### Pre-computing key hypergraph quantities\n", - "\n", - "Given some hnx hypergraph HG, the following function needs to be called first\n", - "to pre-compute node strengths (weighted degrees), d-degrees and binomial coefficients\n", - "and add these as attributes to HG:\n", - "\n", - "```python\n", - "hmod.precompute_attributes(HG)\n", - "```\n", - "\n", - "### H-modularity (qH)\n", - "\n", - "The function to compute H-modularity for HG w.r.t. partition A (list of sets covering the vertices):\n", - "\n", - "```python\n", - "hmod.hypergraph_modularity(HG, A, wcd=linear)\n", - "```\n", - "\n", - "where 'wcd' is the weight function (default = 'linear'). Other choices are 'strict'\n", - "and 'majority', or any user-supplied function with the following format:\n", - "\n", - "```python\n", - "def linear(d,c):\n", - " return c/d if c>d/2 else 0\n", - "```\n", - "\n", - "where $d$ is the edge size, and $c$ is the number of nodes in the majority class, $d \\geq c > \\frac{d}{2}$\n", - "\n", - "### Two-section graph\n", - "\n", - "Build the random-walk based $2$-section graph given some hypergraph HG:\n", - "\n", - "```python\n", - "G = hmod.two_section(HG)\n", - "```\n", - "\n", - "where G is an igraph Graph.\n", - "\n", - "### Clustering: Kumar algorithm\n", - "\n", - "Given hypergraph HG, compute a partition of the vertices as per Kumar's algorithm described in [1].\n", - "\n", - "```python\n", - "K = hmod.kumar(HG, delta=.01)\n", - "```\n", - "\n", - "where delta is the convergence stopping criterion. Partition is returned as a list of sets.\n", - "\n", - "[1] Kumar T., Vaidyanathan S., Ananthapadmanabhan H., Parthasarathy S., Ravindran B. (2020) *A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering*. In: Cherifi H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-36687-2_24\n", - "\n", - "\n", - "### Clustering: Simple qH-based algorithm\n", - "\n", - "Given hypergraph HG and initial partition L, \n", - "compute a partition of the vertices as per Last-Step algorithm described in [2].\n", - "\n", - "```python\n", - "A = hmod.last_step(HG, L, wdc=linear, delta = .01)\n", - "```\n", - "\n", - "where 'wcd' is the the weight function (default = 'linear') and delta is the convergence stopping criterion.\n", - "Returned partition is a list of sets.\n", - "\n", - "[2] Kamiński B., Prałat P. and Théberge F. “Community Detection Algorithm Using Hypergraph Modularity”. In: Benito R.M., Cherifi C., Cherifi H., Moro E., Rocha L.M., Sales-Pardo M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_13\n", - "\n", - "### Utility functions\n", - "\n", - "We use two representations for partitions: list of sets (the parts) or dictionary.\n", - "Those functions are used to map from one to the other:\n", - "\n", - "```python\n", - "dict2part(D)\n", - "part2dict(A)\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "# Toy example" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "## build a hypergraph from a list of sets (the hyperedges)\n", - "E = [{'A','B'},{'A','C'},{'A','B','C'},{'A','D','E','F'},{'D','F'},{'E','F'}]\n", - "HG = hnx.Hypergraph(E,static=True)\n", - "hnx.draw(HG)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## compute node strength (add unit weight if unweighted), d-degrees, binomial coefficients\n", - "HG = hmod.precompute_attributes(HG)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 has weight 1\n", - "1 has weight 1\n", - "2 has weight 1\n", - "3 has weight 1\n", - "4 has weight 1\n", - "5 has weight 1\n" - ] - } - ], - "source": [ - "## list the edges (unit weights added by default)\n", - "for e in HG.edges:\n", - " print(e,'has weight',HG.edges[e].weight)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "F has strength 3\n", - "A has strength 4\n", - "E has strength 2\n", - "B has strength 2\n", - "D has strength 2\n", - "C has strength 2\n" - ] - } - ], - "source": [ - "## list the nodes (here strength = degree since all weights are 1)\n", - "for v in HG.nodes:\n", - " print(v,'has strength',HG.nodes[v].strength) \n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Counter({2: 4, 3: 1, 4: 1})" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## total edge weight for each edge cardinality\n", - "HG.d_weights\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "linear edge contribution:\n", - "qH(A1): 0.414445267489712 qH(A2): -0.03746831275720153 qH(A3): 0.0 qH(A4): -0.19173004115226341\n", - "strict edge contribution:\n", - "qH(A1): 0.43490699588477366 qH(A2): -0.02385843621399164 qH(A3): 0.0 qH(A4): -0.12887572016460908\n", - "majority edge contribution:\n", - "qH(A1): 0.39379753086419755 qH(A2): -0.0343506172839505 qH(A3): 0.0 qH(A4): -0.22078024691358022\n" - ] - } - ], - "source": [ - "## compute hypergraph modularity (qH) for the following partitions:\n", - "A1 = [{'A','B','C'},{'D','E','F'}]\n", - "A2 = [{'B','C'},{'A','D','E','F'}]\n", - "A3 = [{'A','B','C','D','E','F'}]\n", - "A4 = [{'A'},{'B'},{'C'},{'D'},{'E'},{'F'}]\n", - "\n", - "## we compute with 3 different choices of functions for the edge contribution: linear (default), strict and majority\n", - "strict = hmod.strict\n", - "majority = hmod.majority\n", - "\n", - "print('linear edge contribution:')\n", - "print('qH(A1):',hmod.modularity(HG,A1),\n", - " 'qH(A2):',hmod.modularity(HG,A2),\n", - " 'qH(A3):',hmod.modularity(HG,A3),\n", - " 'qH(A4):',hmod.modularity(HG,A4))\n", - "print('strict edge contribution:')\n", - "print('qH(A1):',hmod.modularity(HG,A1,strict),\n", - " 'qH(A2):',hmod.modularity(HG,A2,strict),\n", - " 'qH(A3):',hmod.modularity(HG,A3,strict),\n", - " 'qH(A4):',hmod.modularity(HG,A4,strict))\n", - "print('majority edge contribution:')\n", - "print('qH(A1):',hmod.modularity(HG,A1,majority),\n", - " 'qH(A2):',hmod.modularity(HG,A2,majority),\n", - " 'qH(A3):',hmod.modularity(HG,A3,majority),\n", - " 'qH(A4):',hmod.modularity(HG,A4,majority))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "hidden": true - }, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "Plotting not available; please install pycairo or cairocffi", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mAttributeError\u001B[0m Traceback (most recent call last)", - 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"File \u001B[0;32m~/opt/anaconda3/envs/hnx/lib/python3.8/site-packages/igraph/drawing/cairo/plot.py:148\u001B[0m, in \u001B[0;36mCairoPlot.__init__\u001B[0;34m(self, target, bbox, palette, background)\u001B[0m\n\u001B[1;32m 146\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m target \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[1;32m 147\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_need_tmpfile \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[0;32m--> 148\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_surface \u001B[38;5;241m=\u001B[39m \u001B[43mcairo\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mImageSurface\u001B[49m(\n\u001B[1;32m 149\u001B[0m cairo\u001B[38;5;241m.\u001B[39mFORMAT_ARGB32, \u001B[38;5;28mint\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mbbox\u001B[38;5;241m.\u001B[39mwidth), \u001B[38;5;28mint\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mbbox\u001B[38;5;241m.\u001B[39mheight)\n\u001B[1;32m 150\u001B[0m )\n\u001B[1;32m 151\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(target, cairo\u001B[38;5;241m.\u001B[39mSurface):\n\u001B[1;32m 152\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_surface \u001B[38;5;241m=\u001B[39m target\n", - "File \u001B[0;32m~/opt/anaconda3/envs/hnx/lib/python3.8/site-packages/igraph/drawing/utils.py:428\u001B[0m, in \u001B[0;36mFakeModule.__getattr__\u001B[0;34m(self, _)\u001B[0m\n\u001B[1;32m 427\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m__getattr__\u001B[39m(\u001B[38;5;28mself\u001B[39m, _):\n\u001B[0;32m--> 428\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mAttributeError\u001B[39;00m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_message)\n", - "\u001B[0;31mAttributeError\u001B[0m: Plotting not available; please install pycairo or cairocffi" - ] - } - ], - "source": [ - "## 2-section graph\n", - "G = hmod.two_section(HG)\n", - "G.vs['label'] = G.vs['name']\n", - "ig.plot(G,bbox=(0,0,250,250))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## 2-section clustering with ECG\n", - "G.vs['community'] = G.community_ecg().membership\n", - "hmod.dict2part({v['name']:v['community'] for v in G.vs})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## Clustering with Kumar's algorithm\n", - "hmod.kumar(HG)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## hypergraph clustering -- start from trivial partition A4 defined above\n", - "print('start from:',A4)\n", - "A = hmod.last_step(HG,A4)\n", - "print('final partition:',A)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "heading_collapsed": true - }, - "source": [ - "# Chung-Lu hypergraph example\n", - "\n", - "We build a Chung-Lu hypergraph and compute modularity for partitions from 3 algorithms:\n", - "* Louvain, on the 2-section graph\n", - "* Kumar algorithm\n", - "* LastStep algorithm\n", - "\n", - "We use the **strict** modularity, so only edges where all vertices are in the same part will add to the modularity.\n", - "For each algorithm, we compute the modularity qH and compare with the number of edges where all vertices are in the same part.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## Chung-Lu hypergraph\n", - "n = 200\n", - "k1 = {i : random.randint(2, 10) for i in range(n)} ## node degrees\n", - "k2 = {i : sorted(k1.values())[i] for i in range(n)} ## edge sizes\n", - "H = gm.chung_lu_hypergraph(k1, k2)\n", - "\n", - "## pre-compute required quantities\n", - "HG = hmod.precompute_attributes(H)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## Louvain algorithm on the 2-section graph\n", - "G = hmod.two_section(HG)\n", - "G.vs['louvain'] = G.community_multilevel().membership\n", - "D = {v['name']:v['louvain'] for v in G.vs}\n", - "ML = hmod.dict2part(D)\n", - "\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(HG, ML, strict))\n", - "\n", - "## number of edges where all vertices belong to the same community\n", - "print('edges with all vertices in same part:',\n", - " sum([len(set([D[v] for v in HG.edges[e]]))==1 for e in HG.edges()]))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## Kumar algorithm\n", - "KU = hmod.kumar(HG)\n", - "\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(HG, KU, strict))\n", - "\n", - "## number of edges where all vertices belong to the same community\n", - "print('edges with all vertices in same part:',\n", - " sum([len(set([hmod.part2dict(KU)[v] for v in HG.edges[e]]))==1 for e in HG.edges()]))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "hidden": true - }, - "outputs": [], - "source": [ - "## Last-step algorithm using previous result as initial partition\n", - "LS = hmod.last_step(HG, KU, strict)\n", - "\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(HG, LS, strict))\n", - "\n", - "## number of edges where all vertices belong to the same community\n", - "print('edges with all vertices in same part:',\n", - " sum([len(set([hmod.part2dict(LS)[v] for v in HG.edges[e]]))==1 for e in HG.edges()]))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Game of Thrones scenes hypergraph\n", - "\n", - "REF: https://github.com/jeffreylancaster/game-of-thrones\n", - "\n", - "We built an hypergraph from the game of thrones scenes with he following elements:\n", - "\n", - "* **Nodes** are characters in the series\n", - "* **Hyperedges** are groups of character appearing in the same scene(s)\n", - "* **Hyperedge weights** are total scene(s) duration in seconds involving those characters\n", - "\n", - "We kept hyperedges with at least 2 characters.\n", - "Moreover, we discarded characters with degree below 5.\n", - "\n", - "We saved the following:\n", - "\n", - "* *Edges*: list of sets where the nodes are 0-based integers represents as strings\n", - "* *Names*: dictionary; mapping of nodes to character names\n", - "* *Weights*: list; hyperedge weights (in same order as Edges)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## load the GoT dataset\n", - "Edges, Names, Weights = pickle.load(open( \"../hypernetx/utils/toys/GoT.pkl\", \"rb\" ))\n", - "print(len(Names),'nodes and',len(Edges),'edges')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Build weighted GoT hypergraph " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## Nodes are represented as strings from '0' to 'n-1'\n", - "H = hnx.Hypergraph(dict(enumerate(Edges)))\n", - "## add edge weights\n", - "for e in H.edges:\n", - " H.edges[e].weight = Weights[e]\n", - "## add full names\n", - "for v in H.nodes:\n", - " H.nodes[v].name = Names[v]\n", - "## pre-compute required quantities for modularity and clustering\n", - "GoT = hmod.precompute_attributes(H)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Modularity (qH) on a random partition\n", - "\n", - "We use the default choice for the modularity (**linear** weights).\n", - "Result for the random partition should be close to 0 and can be negative." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## generate a random partition into K parts to compare results\n", - "K = 5\n", - "V = list(GoT.nodes)\n", - "p = np.random.choice(K, size=len(V))\n", - "RandPart = hmod.dict2part({V[i]:p[i] for i in range(len(V))})\n", - "## compute qH\n", - "hmod.modularity(GoT, RandPart)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generate the 2-section igraph Graph and cluster with Louvain Algorithm\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## build 2-section\n", - "G = hmod.two_section(GoT)\n", - "## Louvain algorithm\n", - "G.vs['louvain'] = G.community_multilevel(weights='weight').membership\n", - "ML = hmod.dict2part({v['name']:v['louvain'] for v in G.vs})\n", - "\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(GoT, ML))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cluster hypergraph with Kumar's algorithm\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## run Kumar's algorithm, get partition\n", - "KU = hmod.kumar(GoT)\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(GoT, KU))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cluster with simple H-based (Last Step) Algorithm\n", - "\n", - "We use Louvain on the 2-section or Kumar algorithm for the initial partition" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## H-based last step with Louvain parition already computed\n", - "LS = hmod.last_step(GoT, ML)\n", - "## Compute qH\n", - "print('qH =',hmod.modularity(GoT, LS))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example: show top nodes in same cluster as Daenerys Targaryen\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## Index for \n", - "inv_map = {v: k for k, v in Names.items()}\n", - "DT = inv_map['Daenerys Targaryen']\n", - "## DT's cluster\n", - "DT_part = hmod.part2dict(LS)[DT]\n", - "## Build dataframe: all nodes in DT_part\n", - "L = []\n", - "for n in LS[DT_part]:\n", - " L.append([Names[n],GoT.nodes[n].strength])\n", - "D = pd.DataFrame(L, columns=['character','strength'])\n", - "D.sort_values(by='strength',ascending=False).head(5)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tutorials/advanced/Tutorial 5 - s-Centrality.ipynb b/tutorials/advanced/Tutorial 5 - s-Centrality.ipynb deleted file mode 100644 index 5e3e6feb..00000000 --- a/tutorials/advanced/Tutorial 5 - s-Centrality.ipynb +++ /dev/null @@ -1,369 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import networkx as nx\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - " import hypernetx.algorithms.contagion as contagion\n", - "except ImportError:\n", - " print(\"Installing HyperNetX and contagion-related dependencies.........\")\n", - " !pip install hypernetx celluloid --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## s-centrality metrics\n", - "\n", - "\n", - "\n", - "Hypergraph metrics generalize traditional graph metrics by including parameters for edge size and edge intersection size. In the figure there are two hypergraphs. Each illustrates an edge path of length 2, connecting Blue, Orange, and Green. The path in hypergraph I. has *width* 1, while the path in hypergraph II. has *width* 3. The width of an edge path is the size of the smallest intersection.\n", - "\n", - "While graphs use shortest paths to define a distance metric, hypergraphs can stipulate a width parameter **s** to the shortest path. The edge s-distance between two edges is the shortest path of width **s** between the edges. The s-distance between two nodes has an analogous definition replacing the size of edge intersection with the number of shared edges between consecutive nodes. Because the intuition around edge s-distance seems more natural than node distance we will refer to s-distance in terms of edges unless stated otherwise and use the dual of the hypergraph when considering the s-distance between nodes.\n", - "\n", - "For a detailed exposition of s-distance metrics and hypergraph walks in general see: \n", - "Aksoy, S.G., Joslyn, C., Ortiz Marrero, C. et al. Hypernetwork science via high-order hypergraph walks. EPJ Data Sci. 9, 16 (2020). \n", - "\n", - "In this tutorial we will provide just enough information to provide some intuition about the s-parameter and s-metrics. As described above, s-distance is a true metric on the edges of a hypergraph. We use s-distance to define s-connectedness, s-centrality as well as other analogs to well known graph concepts. \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example\n", - "We illustrate the s-centrality metrics on a simple example. We construct a hypergraph $H$ with 6 nodes and 5 edges and compute the s-centralities for the edges in $H$." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "class SixByFive():\n", - " \"\"\"Example hypergraph with 6 nodes and 5 edges\"\"\"\n", - " def __init__(self):\n", - " mat = np.array([[1, 1, 1, 0, 0, 0], [1, 0, 1, 0, 1, 0], [1, 1, 0, 0, 1, 1], [0, 1, 1, 1, 0, 0], [1, 1, 1, 1, 0, 0]]).transpose()\n", - " self.hypergraph = hnx.Hypergraph.from_numpy_array(mat)\n", - "\n", - "H = SixByFive().hypergraph\n", - "hnx.draw(H)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Edge s-line graphs for s=1,2,3" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = plt.subplots(1,3,figsize=(15,6))\n", - "A = dict()\n", - "g = dict()\n", - "for i in range(1,4):\n", - " A[i],names = H.edge_adjacency_matrix(s=i,index=True)\n", - " A[i] = A[i].todense()\n", - " g[i] = H.get_linegraph(s=i) ## corresponding line graph\n", - " ax[i-1].set_title(f's={i}')\n", - " nx.draw(g[i],ax=ax[i-1],with_labels=True, node_color='cyan');\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Note the differences between the three linegraphs. The 1-linegraph is uniform so all vertices have equal centrality. The 2-linegraph has two vertices, e0 and e4, that are minimally central to all other vertices and 3 vertices that are more removed. The 3-linegraph has only 1 vertex, e4, with any significant centrality in the linegraph. These differences are noted in the s-centrality metrics below.**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## s-closeness centrality - \n", - "If $u$ is a vertex in one of the s-line graphs above, the s-closeness centrality is computed on each of the connected components\n", - "\n", - "$V$ = the set of vertices in the linegraph. \n", - "$n = |V|$\n", - "$$C(u) = \\frac{n - 1}{\\sum_{v \\neq u \\in V} d(v, u)}$$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 1-closeness centrality of the edges in hypergraph H is:\n", - "e0: 1.0\n", - "e1: 1.0\n", - "e2: 1.0\n", - "e3: 1.0\n", - "e4: 1.0\n", - "\n", - "\n", - "The 2-closeness centrality of the edges in hypergraph H is:\n", - "e0: 1.0\n", - "e1: 0.8\n", - "e2: 0.8\n", - "e3: 0.6666666666666666\n", - "e4: 1.0\n", - "\n", - "\n", - "The 3-closeness centrality of the edges in hypergraph H is:\n", - "'e0'\n" - ] - } - ], - "source": [ - "for s in range(1,4):\n", - " print(f'The {s}-closeness centrality of the edges in hypergraph H is:')\n", - " try:\n", - " d = hnx.s_closeness_centrality(H,s=s)\n", - " for e in H.edges:\n", - " print(f'{e}: {d[e]}')\n", - " print('\\n')\n", - " except Exception as ex:\n", - " print(ex)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## s-harmonic centrality - \n", - "\n", - "The denormalized reciprocal of the harmonic mean of all distances from $u$ to all other vertices. \n", - "$V$ = the set of vertices in the linegraph.\n", - "$$C(u) = \\sum_{v \\neq u \\in V} \\frac{1}{d(v, u)}$$\n", - "\n", - "Normalized this becomes:\n", - "$$C(u) = \\sum_{v \\neq u \\in V} \\frac{1}{d(v, u)}\\cdot\\frac{2}{(n-1)(n-2)}$$\n", - "where $n$ is the number vertices." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 1-harmonic closeness centrality of the edges in hypergraph H is:\n", - "e0: 0.6666666666666666\n", - "e1: 0.6666666666666666\n", - "e2: 0.6666666666666666\n", - "e3: 0.6666666666666666\n", - "e4: 0.6666666666666666\n", - "\n", - "\n", - "The 2-harmonic closeness centrality of the edges in hypergraph H is:\n", - "e0: 0.6666666666666666\n", - "e1: 0.5833333333333333\n", - "e2: 0.5833333333333333\n", - "e3: 0.5\n", - "e4: 0.6666666666666666\n", - "\n", - "\n", - "The 3-harmonic closeness centrality of the edges in hypergraph H is:\n", - "e0: 0.25\n", - "e1: 0.0\n", - "e2: 0.0\n", - "e3: 0.25\n", - "e4: 0.3333333333333333\n" - ] - } - ], - "source": [ - "## \n", - "for s in range(1,4):\n", - " print(f'The {s}-harmonic closeness centrality of the edges in hypergraph H is:')\n", - " try:\n", - " d = hnx.s_harmonic_centrality(H,s=s, normalized=True)\n", - " for e in H.edges:\n", - " print(f'{e}: {d[e]}')\n", - " print('\\n')\n", - " except Exception as ex:\n", - " print(ex)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## s-eccentricity -\n", - "The length of the longest shortest path from a vertex $u$ to every other vertex in the linegraph. \n", - "$V$ = set of vertices in the linegraph\n", - "$$ \\text{s-ecc}(u) = \\text{max}\\{d(u,v): v \\in V\\} $$" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 1-eccentricity of the edges in hypergraph H is:\n", - "e0: 1\n", - "e1: 1\n", - "e2: 1\n", - "e3: 1\n", - "e4: 1\n", - "\n", - "\n", - "The 2-eccentricity of the edges in hypergraph H is:\n", - "e0: 1\n", - "e1: 2\n", - "e2: 2\n", - "e3: 2\n", - "e4: 1\n", - "\n", - "\n", - "The 3-eccentricity of the edges in hypergraph H is:\n", - "Found infinite path length because the graph is not connected\n" - ] - } - ], - "source": [ - "## Max s-distance from every other edge\n", - "for s in range(1,4):\n", - " print(f'The {s}-eccentricity of the edges in hypergraph H is:')\n", - " try:\n", - " d = hnx.s_eccentricity(H,s=s)\n", - " for e in H.edges:\n", - " print(f'{e}: {d[e]}')\n", - " print('\\n')\n", - " except Exception as ex:\n", - " print(ex)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## s-betweenness centrality\n", - "The centrality of edge to all shortest s-edge paths\n", - "$V$ = the set of vertices in the linegraph. \n", - "$\\sigma(s,t)$ = the number of shortest paths between vertices $s$ and $t$. \n", - "$\\sigma(s, t|u)$ = the number of those paths that pass through vertex $u$\n", - "$$c_B(u) =\\sum_{s \\neq t \\in V} \\frac{\\sigma(s, t|u)}{\\sigma(s, t)}$$" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 1-betweenness of the edges in hypergraph H is:\n", - "e0: 0.0\n", - "e1: 0.0\n", - "e2: 0.0\n", - "e3: 0.0\n", - "e4: 0.0\n", - "\n", - "\n", - "The 2-betweenness of the edges in hypergraph H is:\n", - "e0: 1.0\n", - "e1: 0.0\n", - "e2: 0.0\n", - "e3: 0.0\n", - "e4: 1.0\n", - "\n", - "\n", - "The 3-betweenness of the edges in hypergraph H is:\n", - "'e0'\n" - ] - } - ], - "source": [ - "for s in range(1,4):\n", - " print(f'The {s}-betweenness of the edges in hypergraph H is:')\n", - " try:\n", - " d = hnx.s_betweenness_centrality(H, s=s, normalized=False)\n", - " for e in H.edges:\n", - " print(f'{e}: {d[e]}')\n", - " print('\\n')\n", - " except Exception as ex:\n", - " print(ex)\n", - " \n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tutorials/advanced/Tutorial 6 - Homology mod 2 for TriLoop Example.ipynb b/tutorials/advanced/Tutorial 6 - Homology mod 2 for TriLoop Example.ipynb deleted file mode 100644 index 25ac8d9c..00000000 --- a/tutorials/advanced/Tutorial 6 - Homology mod 2 for TriLoop Example.ipynb +++ /dev/null @@ -1,675 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - "except ImportError:\n", - " print(\"Installing HyperNetX.........\")\n", - " !pip install hypernetx --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Intro: Homology and Smith Normal Form\n", - "The purpose of computing the Homology groups for data generated hypergraphs is to identify data sources that correspond to interesting features in the topology of the hypergraph. \n", - "\n", - "The elements of one of these Homology groups can be represented by $k$ dimensional cycles of relationships in the original data that are not bound together by higher order relationships. Ideally, we want the briefest description of these cycles; we want a minimal set of relationships exhibiting interesting cyclic behavior. This minimal set will be a basis for the Homology group. \n", - "\n", - "The cyclic relationships in the data are discovered using a **boundary map** represented as a matrix. To discover the basis we compute the **Smith Normal Form** of the boundary map. \n", - "\n", - "The simple example below illustrates how homology and Smith Normal Form identify elements of the data corresponding to cycles. Note that we will abuse notation mercilessly in the hopes to keep the ideas cogent.\n", - "\n", - "For an in depth discussion of the homology of finite topological spaces see: \n", - "**Barmak, Jonathan A.. Algebraic Topology of Finite Topological Spaces and Applications. Germany: Springer Berlin Heidelberg, 2011**. (Available as a pdf \n", - "here.)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Tri-loop :\n", - "We illustrate the methodology on the Tri-loop example: 2 triangles sharing an edge with one triangle filled in." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## The TriLoop example\n", - "A,B,C,D = 'A','B','C','D'\n", - "AB,BC,ACD = 'AB','BC','ACD'\n", - "edgedict = {AB:{A,B},BC:{B,C},ACD:{A,C,D}}\n", - "\n", - "h = hnx.Hypergraph(edgedict,name='TriLoop')\n", - "\n", - "fig,ax = plt.subplots(1,1,figsize=(5,5))\n", - "ax.axis('off')\n", - "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", - "hnx.draw(h,ax=ax,pos=pos,\n", - " node_labels_kwargs={'fontsize':50},\n", - " edges_kwargs={\n", - " 'facecolors': [(1,0,0,.5),(0,1,0,.5),(0,0,1,.5),],\n", - " 'edgecolors': (0,0,0,.5),\n", - " 'linewidths': 4\n", - " },\n", - " edge_labels_kwargs={'fontsize':0},\n", - " label_alpha=.1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Homology Computation for Hypergraphs using Smith Normal Form\n", - "\n", - "We compute homology on the Abstract Simplicial Complex(ASC) associated with the hypergraph. This is uniquely determined by the hypergraph by taking all subedges of the edges in the hypergraph. In terms of the data, the ASC infers all subrelationships that could exist within the edge relationships. The ASC is also a hypergraph but with a lot more edges. Because the ASC can be realized in Euclidean space as a simplicial complex we will often refer to its $k$-dimensional edges as **$k$-cells** (edges of size $k+1$).\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Overview of steps to compute the $kth$ homology group of the ASC:\n", - "\n", - "1. **Compute a basis for each of the Chain groups, $\\{C_i\\}_{i={k-1}}^{k+1}$, associated with the ASC.** For each $i$, $C_i$ is the free abelian group generated by its $i$-cells. Because we are only interested in the presence of data in these cells, we use $\\mathbb{Z}_2$ coefficients so that the elements of $C_i$ may be thought of as sets of $i$-cells in the ASC.\n", - "2. **Compute the $k+1$ and $k$-boundary maps, $\\partial_{k+1} : C_{k+1} \\rightarrow C_{k}$ and $\\partial_k : C_k \\rightarrow C_{k-1}$.** The sequence of all $i$-boundary maps and Chain groups forms a chain complex. The failure of the chain complex to be exact is measured by the dimension of its associated homology groups. \n", - "3. **Find invertible matrices $P_k,Q_k$ and diagonal matrix $S_k$ so that the product $P_k \\partial_{k} Q_k = S_k$ is the Smith Normal Form of $\\partial_{k}$. Do the same for $k+1$.** This representation is the Smith Normal Form of the matrix. Once it is computed, the homology groups can be generated by reading off information from the invertible matrices $P_i,Q_i$.\n", - "4. **Compute the kernel of $\\partial_k$, $Z_k$.** This is the subgroup of $C_k$ generated by its cycles. It is found by taking the last $n$ columns of $Q_k$ where $n$ is the number of zero columns in $S_k$.\n", - "5. **Compute the image and cokernel of $\\partial_{k+1}$, $B_k$.** The image is the subgroup of $Z_k$ generated by boundaries. It is found by taking the first $r$ columns of $P_{k+1}^{-1}$ where $r$ equals the number of nonzero rows in $S_{k+1}$. The cokernel is generated by the remaining columns of $P_{k+1}^{-1}$. The $k$-homology group is:\n", - "$$H_k = \\frac{Z_k}{B_k}.$$\n", - "5. **Compute a basis for the kth Homology group.** ... This is done by projecting, $Z_k$, the kernel of $\\partial_k$ onto, $B_k$, the cokernel of $\\partial_{k+1}$ and removing dependencies. This should be come clearer as we move along. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "### 1. Compute a basis for each of the Chain groups, associated with the ASC for TriLoop.\n", - "## These are the $i$-cells of the ASC . \n", - "K = max([len(e) for e in h.edges()])\n", - "Ck = dict()\n", - "edges = list()\n", - "for k in range(K):\n", - " Ck[k] = hnx.kchainbasis(h,k)\n", - " edges.extend(Ck[k])\n", - " print(Ck[k])\n", - "E = Ck[0]+Ck[1]+Ck[2]\n", - "hasc = hnx.Hypergraph(E)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## The ASC associated to TriLoop, all edges are outlined in grey\n", - "\n", - "def drawhasc():\n", - " fig,ax = plt.subplots(1,1,figsize=(5,5))\n", - " ax.axis('off')\n", - " hnx.drawing.draw(hasc,ax=ax,pos=pos,\n", - " label_alpha=0,\n", - " edges_kwargs={\n", - " 'facecolors': [(1,1,0,0),(0,1,0,.5),(0,1,0,0),(0,0,1,.5),(1,0,0,0.5),(1,1,1,0)],\n", - "# 'facecolors': [(1,0,0,.5),(0,1,0,.5),(0,0,1,.5),],\n", - " 'edgecolors': (0,0,0,.5),\n", - " 'linewidths': 4\n", - " },\n", - " edge_labels_kwargs={\n", - " 'fontsize': 0\n", - " },node_labels_kwargs={\n", - " 'fontsize': 50,\n", - " 'color':'k',\n", - " })\n", - "drawhasc()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### In general we only need the k-1,k, and k+1 dimensional chains to compute the kth homology group. \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Compute the k-chain groups\n", - "A **k-chain** is a formal sum of k-cells in the ASC.\n", - "The collection of k-chains is denoted $C_k$. For example, AB,BC+CD, and AB+AC+CD are all 1-chains in $C_1$. \n", - "\n", - "We induce a total order on the k-cells. This ordering is somewhat arbitrary but for convenience we define a total ordering on the 0-chains (the nodes in the hypergraph) and use lexicographic ordering to induce an ordering on all of the k-chains. In our example this is just alphabetical order.\n", - "\n", - "With this ordering we define an isomorphism $\\phi : C_k \\rightarrow \\mathbb{Z}_2^{|C_k|}$. For any chain, $\\sigma \\in C_k$, $\\phi (\\sigma)$ is a tuple of 0's and 1's with a 1 in the ith position of the tuple if the ith element in the $C_k$ ordering is in $\\sigma$. For our example, the 1-chains in $C_1$ are ordered: $[AB,AC,AD,BC,CD]$. Using this ordering we find:\n", - "- $\\phi(AB) = (1,0,0,0,0)$\n", - "- $\\phi(BC+CD) = (0,0,0,1,1)$\n", - "- $\\phi(AC+AD+CD) = (0,1,1,0,1)$\n", - "\n", - "The isomorphism $\\phi$ induces the structure of $\\mathbb{Z}_2^{|C_k|}$ onto $C_k$. In particular, we can think of $C_k$ as a vector space over $\\mathbb{Z}_2$. This means:\n", - "- We can add $k$-chains - vector addition mod $2$ - and get another $k$-chain. This addition is associative and abelian (commutative)\n", - "- We have a $0$-chain, the empty chain has tuple $(0,0,0,0,0)$\n", - "- We have inverses, $\\sigma + \\sigma = 0$ \n", - "- $C_k$ is finitely generated by the $k$-cells in the ASC.\n", - "\n", - "Note that addition in $C_k$ is analogous to the exclusive or (xor) on sets. This is equivalent to addition(mod 2) in $ \\mathbb{Z}_2^{|C_k|}$. For example:\n", - "- $(AB+CD) + AB = CD$ because $(1,0,0,1) + (1,0,0,0) = (0,0,0,1)$\n", - "- $(AB+AC+BC) + (AC+AD) = (AB+AD+BC)$ because $(1,1,0,1,0) + (0,1,1,0,0) = (1,0,1,1,0)$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Compute the Boundary Maps \n", - "A **k-cycle** is a k-chain that contains a sequence of intersecting cells that in some sense 'loop around'. To check if a k-chain is a k-cycle we look at its image under the **boundary map**:\n", - "$\\partial_k : C_k \\rightarrow C_{k-1}$.\n", - "\n", - "The kth-boundary map is completely defined by its behavior on the generators of $C_k$. Let $\\sigma$ be a generator in $C_k$ corresponding to a k-cell in the ASC. Then $\\sigma$ contains a set of $k+1$ nodes in the hypergraph. Let $\\tau$ be the sum of subedges of $\\sigma$ of size k. We see $\\tau$ is a (k-1)-chain in $C_{k-1}$. Define $\\partial_k(\\sigma)$ to be this (k-1)-chain. For example:\n", - "\n", - "1. $\\partial_1(AB) = A+B$ \n", - "2. $\\partial_1(BC) = B+C$\n", - "3. $\\partial_2(ACD) = AC+AD+CD$\n", - "\n", - "We extend $\\partial_k$ to all of $C_k$ linearly. For example:\n", - "\n", - "4. $\\partial_1(AB+BC+CD) = A+B + B+C + C+D = A+D$\n", - "\n", - "From now on we will reference these computations in terms of their corresponding representation in $\\mathbb{Z}_2^{|C_k|}$ and abuse our notation a bit by defining the boundary map on $C_k$ in terms of its equivalent linear map on the vector space $\\mathbb{Z}_2^{|C_k|}$. \n", - "\n", - "Using the ordering: $C_0 = [A,B,C,D]$, $C_1 = [AB,AC,AD,BC,CD]$, and $C_2 = [ACD]$ the above computations become:\n", - "\n", - "1. $\\partial_1((1,0,0,0,0)) = (1,1,0,0)$ \n", - "2. $\\partial_1((0,0,0,1,0))) = (0,1,1,0)$\n", - "3. $\\partial_2((1)) = (0,1,1,0,1)$\n", - "4. $\\partial_1((1,0,0,1,1)) = (1,0,0,1)$\n", - "\n", - "We represent the map $\\partial_k$ as a matrix over $\\mathbb{Z}_2$." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## 2. For each k, compute the k-boundary maps\n", - "## Represent the boundary map in terms of the vector space:\n", - "bd = dict()\n", - "for i in range(1,3):\n", - " bd[i] = hnx.bkMatrix(Ck[i-1],Ck[i])\n", - "\n", - "print('Boundary maps:\\nbd[2]:Ck[2] -> Ck[1]\\n')\n", - "print(pd.DataFrame(bd[2],index=Ck[1],columns=Ck[2]))\n", - "print('\\nCorresponding linear map between vector spaces bd[2]:Ck[2] -> Ck[1] given as a matrix\\n')\n", - "print(bd[2])\n", - "print('\\nBoundary maps:\\nbd[1]:Ck[1] -> Ck[0]\\n')\n", - "print(pd.DataFrame(bd[1],index=Ck[0],columns=Ck[1]))\n", - "print('\\nCorresponding linear map between vector spaces bd[1]:Ck[1] -> Ck[0] given as a matrix\\n')\n", - "print(bd[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### k-cycles are the elements of the kernel of the k-boundary map" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "drawhasc()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In our example AB+AC+BC, AB+AD+BC+CD, and AC+AD+CD are all cycles. \n", - "In terms of the vector space these are: (1,1,0,1,0), (1,0,1,1,1), and (0,1,1,0,1). \n", - "We confirm they belong to the kernel by computing their images under the 1-boundary map." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print('Boundary map:\\nbd[1]:C[1] -> C[0]\\n')\n", - "v1,v2,v3 = (1,1,0,1,0), (1,0,1,1,1), (0,1,1,0,1)\n", - "for v in [v1,v2,v3]:\n", - " image = np.mod(np.matmul(bd[1],np.array(v)),2)\n", - " print(bd[1],np.array(v),'=',image)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### k-Boundaries are elements of the image of the (k+1)-boundary map\n", - "\n", - "In our example there is only one non-zero element of $C_2$, ACD. We confirmed above that its image under $\\partial_2$ belongs to the kernel of $\\partial_1$. And note the image is exactly the set of 1-dimensional edges that make up the boundary of ACD. \n", - "\n", - "When we compute homology we are interested in the cycles that are not generated by boundaries." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print('Boundary maps:\\nbd[2]:C[2] -> C[1]\\n')\n", - "v = [1]\n", - "image = np.mod(np.matmul(bd[2],v),2)\n", - "print(bd[2],v,'=',image)\n", - "print('\\nInterpreting the vector in C[1]:\\n')\n", - "print(hnx.interpret(Ck[1],[image])[0])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Computing the Homology group using Smith Normal Form\n", - "\n", - "Every rectangular matrix with elements from a reasonable set (in our case $\\mathbb{Z}_2$) may be written in Smith Normal Form. \n", - "A nice description of the procedure may be found here: http://sierra.nmsu.edu/morandi/notes/SmithNormalForm.pdf\n", - "\n", - "For our purposes we will transform the k-boundary matrix $\\partial_k$ into a diagonal matrix by multiplying it on the left and right by two matrices:\n", - "$P_k\\partial_k Q_k = S_k$, where the maps $P_k:C_{k-1} \\rightarrow C_{k-1}$ and $Q_k:C_k \\rightarrow C_k$ are isomorphisms and $S_k$ is the rectangular matrix with with 1's along the first r cells of its diagonal and 0's everywhere else. We note r is the rank of $S_k$, hence the rank of $\\partial_k$. \n", - "\n", - "\\begin{equation}\n", - "S_k =\n", - " \\begin{bmatrix}\n", - " 1 & 0 & 0 & \\dots & & 0 & 0\\\\\n", - " 0 & 1 & 0 & \\dots & & 0 & 0\\\\\n", - " & & \\vdots & & & \\\\\n", - " 0 & 0 & \\dots & 1 & 0 & \\dots & 0\\\\\n", - " 0 & 0 & \\dots & 0 & 0 & \\dots & 0\\\\\n", - " & & \\vdots & & & \\\\\n", - " 0 & 0 & \\dots & 0 & 0 & \\dots & 0\\\\\n", - " \\end{bmatrix}\n", - " \\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "### Compute the transformations needed to compute the Smith Normal Form for the \n", - "### boundary matrices for our example\n", - "P1,Q1,S1,P1inv = hnx.smith_normal_form_mod2(bd[1])\n", - "P2,Q2,S2,P2inv = hnx.smith_normal_form_mod2(bd[2])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Smith Normal Form form $\\partial_1$ is $P_1\\partial_1 Q_1 = S_1$:\n", - "\n", - "\\begin{equation}\n", - " \\begin{bmatrix}\n", - " 1 & 0 & 0 & 0\\\\\n", - " 1 & 1 & 0 & 0\\\\\n", - " 1 & 1 & 1 & 0 \\\\\n", - " 1 & 1 & 1 & 1\\\\\n", - " \\end{bmatrix}\n", - " \\begin{bmatrix}\n", - " 1 & 1 & 1 & 0 & 0\\\\\n", - " 1 & 0 & 0 & 1 & 0\\\\\n", - " 0 & 1 & 0 & 1 & 1 \\\\\n", - " 0 & 0 & 1 & 0 & 1\\\\\n", - " \\end{bmatrix}\n", - " \\begin{bmatrix}\n", - " 1 & 1 & 0 & 1 & 0\\\\\n", - " 0 & 1 & 1 & 1 & 1\\\\\n", - " 0 & 0 & 1 & 0 & 1\\\\\n", - " 0 & 0 & 0 & 1 & 0\\\\\n", - " 0 & 0 & 0 & 0 & 1\\\\\n", - " \\end{bmatrix} =\n", - " \\begin{bmatrix}\n", - " 1 & 0 & 0 & 0 & 0\\\\\n", - " 0 & 1 & 0 & 0 & 0\\\\\n", - " 0 & 0 & 1 & 0 & 0 \\\\\n", - " 0 & 0 & 0 & 0 & 0\\\\\n", - " \\end{bmatrix}\n", - " \\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Smith Normal form for $P_2\\partial_2 Q_2 = S_2$:\n", - "\n", - "\\begin{equation}\n", - " \\begin{bmatrix}\n", - " 0 & 1 & 0 & 0 & 0\\\\\n", - " 1 & 0 & 0 & 0 & 0\\\\\n", - " 0 & 1 & 1 & 0 & 0 \\\\\n", - " 0 & 0 & 0 & 1 & 0\\\\\n", - " 0 & 1 & 0 & 0 & 1\\\\\n", - " \\end{bmatrix}\n", - " \\begin{bmatrix}\n", - " 0 \\\\\n", - " 1 \\\\\n", - " 1 \\\\\n", - " 0 \\\\\n", - " 1 \\\\\n", - " \\end{bmatrix}\n", - " \\begin{bmatrix}\n", - " 1 \\\\\n", - " \\end{bmatrix} =\n", - " \\begin{bmatrix}\n", - " 1 \\\\\n", - " 0 \\\\\n", - " 0 \\\\\n", - " 0 \\\\\n", - " 0 \\\\\n", - " \\end{bmatrix}\n", - " \\end{equation}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## Verify the Smith Normal Form for bd[2]\n", - "print('P2=',P2)\n", - "print('bd[2]=',bd[2])\n", - "print('Q2=',Q2)\n", - "print('S2=',S2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Betti numbers\n", - "From here the dimension of $H_k(ASC)$ is immediate. The dimension of $H_k$ is the $k^{th}$ betti number for the ASC and is equal to:\n", - "\n", - "$$\\beta_k = |C_k| - \\text{rank}(S1) - \\text{rank}(S2).$$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## 1st Betti number for our example:\n", - "print(f'Betti_1 = {len(Ck[1]) - np.sum(S1) - np.sum(S2)}')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use the Smith Normal Form to obtain the kernel, image, and cokernel of the boundary maps\n", - "Consider the product: $P_k \\partial_k Q_k = S_k$. The columns of matrix $Q_k$ corresponding to the 0 columns in the matrix $S_k$ form a basis for the kernel of $\\partial_k$. \n", - "\n", - "Consider the product: $\\partial_{k+1} Q_{k+1} = P_{k+1}^{-1}S_{k+1}$, gotten by rewriting the Smith Normal Form for $\\partial_{k+1}$. Since $Q_{k+1}$ is an isomorphism, the image of $Q_{k+1}$ is just $C_{k+1}$. Hence the image of $\\partial_{k+1}$ is the same as the image of $P_{k+1}^{-1}S_{k+1}$. By examining this product we see the image of $P_{k+1}^{-1}S_{k+1}$ has a basis given by the columns in $P_{k+1}^{-1}$ corresponding to the nonzero rows in $S_{k+1}$. Moreover the cokernel of $\\partial_{k+1}$ has a basis given by the columns in $P_{k+1}^{-1}$ corresponding to the zero rows in $S_{k+1}$. The image and cokernel decompose C[k] into disjoint subgroups. \n", - "More formally $$C_{k} \\cong Im(\\partial_{k+1}) \\oplus Cok(\\partial_{k+1}) = B_k \\oplus Cok(\\partial_{k+1})$$\n", - "\n", - "The homology group, $H_k(ASC)$ is gotten by taking the kernel of $\\partial_k$ (the cycles $Z_k$) and identifying the image of $\\partial_{k+1}$ (the boundaries $B_k$) with the zero element. This means that $k$-cycles in $Z_k$ are the same in $H_k(ASC)$ if they differ by an element of $B_k$. If we think of this in terms of the decomposition above, we are only interested in the part of the kernel of $\\partial_k$ that dwells in the cokernel of $\\partial_{k+1}$.\n", - "\n", - "The map $P_{k+1}$ returns coordinates of its image in the decomposition $Im(\\partial_{k+1}) \\oplus Cok(\\partial_{k+1})$.\n", - "By restricting $P_{k+1}$ to its rows corresponding to the $0$-rows of $S_{k+1}$ we obtain a projection map $\\pi_1:C_{k} \\rightarrow Cok(\\partial_{k+1})$. \n", - "Similarly, if we restrict $P_{k+1}^{-1}$ to its columns corresponding to the $0$-rows of $S_{k+1}$ we obtain a projection map $\\pi_2:Cok(\\partial_{k+1}) \\rightarrow C_k$ which returns an element in the cokernel in terms of the $k$-cell basis for $C_k$. \n", - "\n", - "We apply $\\pi_1$ to each element of the the kernel basis of $(\\partial_k)$. The resulting vectors will be the coordinates of these vectors in a basis of the cokernel given by columns of $P_{k+1}^{-1}$. Working backwards we apply $\\pi_2$ to the image of the kernel basis to recover the projection of the kernel basis onto the cokernel in terms of the original basis (the $k$-cells for $C_k$). \n", - "\n", - "The resulting set of vectors will be representatives for a spanning set of $H_k(ASC)$. We take a linearly independent subset of these vectors to form a basis.\n", - "\n", - "The elements of $H_k(ASC)$ are cosets in $\\frac{Z_k}{B_k}$. A basis for $H_k(ASC)$ will be some linear combination of these cosets. The vectors we obtain above will only be one set of representatives for a basis. They might not be the best representatives. \n", - "\n", - "We illustrate with Tri-Loop." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## By construction P1 and Q1 are invertible so if P1(bd[1])Q1 = S1 then kernel of bd[1] \n", - "## is generated by the columns in Q1 that correspond to the 0 columns in S1\n", - "\n", - "print('Change of basis Q1\\n')\n", - "print(Q1)\n", - "print('\\nkernel basis corresponds to 0 columns of S1\\n')\n", - "rank1 = np.sum(S1)\n", - "kernel = Q1[:,rank1:]\n", - "print(kernel)\n", - "for row in kernel.transpose():\n", - " print('\\n',[Ck[1][x] for x in range(len(row)) if row[x] == 1]) \n", - "\n", - "## C1 is decomposed into the image and cokernel of b2 with basis given by the columns of P2inv\n", - "print('\\nP2 inverse\\n')\n", - "print(P2inv)\n", - "\n", - "#The image of bd[2] is generated by the columns of P2inv corresponding to the nonzero rows of S2\n", - "print('\\nimage basis is first column:\\n')\n", - "rank2 = np.sum(S2)\n", - "image = P2inv[:,:rank2]\n", - "for row in image.transpose():\n", - " print([Ck[1][x] for x in range(len(row)) if row[x] == 1])\n", - "\n", - "#The cokernel of bd[2] is generated by the columns of P2inv corresponding to the zero rows of S2\n", - "print('\\ncokernel basis comes from remaining columns\\n')\n", - "cokernel = P2inv[:,rank2:]\n", - "print(cokernel)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "### Project the kernel of b1 onto the cokernel of b2 by using change of basis matrix \n", - "### P2:C[k] -> \n", - "### Since cokernel is spanned by rows of P2 corresponding to the 0 rows of S2\n", - "### we are really only interested in those coordinates\n", - "print('Change of basis P2\\n')\n", - "print(P2)\n", - "print('\\nrestrict P2 to a projection onto the cokernel\\n')\n", - "print('π_1 = \\n', P2[rank2:,:])\n", - "print('\\nrestrict P2inv to Basis for Cokernel\\n')\n", - "print('π_2 = \\n',cokernel)\n", - "print('\\nCoefficients for projection of kernel basis on cokernel gotten')\n", - "print('by projecting the kernel basis matrix given above\\n')\n", - "coeff = hnx.logical_matmul(P2,Q1[:,rank1:])[rank2:,:]\n", - "print('π_1(kernel) = \\n',coeff)\n", - "print('\\nApply a change of coordinates to get back to the basis for Ck[1]\\n')\n", - "homgen = hnx.logical_matmul(cokernel,coeff)\n", - "print('π_2(π_1(kernel)) = \\n',homgen)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### If the resulting projection of the kernel contains dependencies. \n", - "Dependencies may be removed by applying reduced row echelon form to the transpose of the projection matrix." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## We apply reduced row echelon form to the transpose \n", - "## of this result to obtain a linearly independent set of basis vectors\n", - "homgen.transpose()\n", - "basis= [b for b in hnx.reduced_row_echelon_form_mod2(homgen.transpose())[1] if np.sum(b)>0]\n", - "basis" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Interpret the nonzero reduced columns in the data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for idx,vec in enumerate(basis):\n", - " print(f\"basis_{idx+1} : {hnx.interpret(Ck[1],[vec])}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "drawhasc()\n", - "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", - "cycles = [('A', 'B'), ('A', 'D'), ('B', 'C'), ('C', 'D')]\n", - "hcycles = hnx.Hypergraph(cycles)\n", - "hnx.draw(hcycles,pos=pos,\n", - " edges_kwargs = {'edgecolors': 'red','facecolors':'red','linewidths': 0},\n", - " edge_labels_kwargs={'fontsize':0},\n", - " node_labels_kwargs={'fontsize':50,'color':'k'},\n", - " label_alpha=.1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Other solutions, shortest paths\n", - "Recall the elements of $H_k$ are actually cosets of cycles in $Z_k$ whose elements differ by elements of the boundary cycles $B_k$. If we compute all of the elements of $B_k$ we can add these to the representative cycle we found to obtain alternative basis, and to find the shortest basis.\n", - "\n", - "Given a basis vector $v_i$ of $H_k$ we find all elements in its coset belong to:\n", - " $$ \\{v_i + \\Sigma_{vb \\in B_k} a_k\\cdot vb : a_k \\in \\mathbb{Z}_2 \\}$$\n", - "\n", - "In our toy example this is trivial" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## compute a basis for B_2 = image of B[2]\n", - "print(P2inv[:,:rank2])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## every element of the coset corresponding to basis_1 will be of the form \n", - "## basis_1 + alpha*boundary_vec for alpha in Zmod2\n", - "coset = []\n", - "for idx,vec in enumerate(homgen.transpose()):\n", - " if np.sum(vec) > 0:\n", - " for alpha in range(2):\n", - " v = np.mod(vec + alpha*(P2inv[:,:rank2].transpose()[0]),2)\n", - " coset.append(v)\n", - "coset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## Let's interpret these in our data\n", - "for vec in coset:\n", - " print(hnx.interpret(Ck[1],[vec]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "## The shortest cycle is AB,AC,BC but in general this could \n", - "## be very hard to find if the boundary group is large.\n", - "## We still need to optimize finding the shortest cycle.\n", - "drawhasc()\n", - "pos = {'A':(1,2),'B':(0,1),'C':(1,0),'D':(2,1)}\n", - "cycles = [('A', 'B'), ('A', 'C'), ('B', 'C')]\n", - "hcycles = hnx.Hypergraph(cycles)\n", - "hnx.draw(hcycles,pos=pos,\n", - " edges_kwargs = {'edgecolors': 'red','facecolors':'red','linewidths': 0},\n", - " edge_labels_kwargs={'fontsize':0},\n", - " node_labels_kwargs={'fontsize':50,'color':'k'},\n", - " label_alpha=.1)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/advanced/Tutorial 7 - Laplacians and Clustering.ipynb b/tutorials/advanced/Tutorial 7 - Laplacians and Clustering.ipynb deleted file mode 100644 index d672ee0c..00000000 --- a/tutorials/advanced/Tutorial 7 - Laplacians and Clustering.ipynb +++ /dev/null @@ -1,362 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Laplacians and Clustering\n", - "\n", - "\n", - "\n", - "Tutorial for hypergraph clustering utilizing random-walk based Laplacians. The hypergraph may be weighted or unweighted. \n", - "The optional weights are associated with each **vertex-hyperedge pair**, sometimes referred to as \"edge-dependent vertex weights\" or \"cell weights\" of the incidence matrix. If unweighted, the underlying random walk is equivalent to a weighted random walk on the clique expansion (i.e. 2-section, one-mode projection) of the hypergraph. If weights are specified, the random walk isn't necessarily reversible, which implies it cannot be characterized as any random walk on an undirected graph. For more background on Laplacian-based hypergraph clustering, see\n", - "\n", - "Hayashi, K., Aksoy, S. G., Park, C. H., & Park, H. \n", - "Hypergraph random walks, laplacians, and clustering. \n", - "In Proceedings of CIKM 2020, (2020): 495-504.\n", - "\n", - "and the references contained therein. Feel free to direct inquries concerning this tutorial to Sinan Aksoy, sinan.aksoy@pnnl.gov" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.datasets import fetch_20newsgroups\n", - "from sklearn.feature_extraction.text import TfidfVectorizer\n", - "from scipy.sparse import coo_matrix\n", - "from pprint import pprint\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.patches as mpatches\n", - "import numpy as np\n", - "\n", - "import hypernetx as hnx\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Unweighted hypergraph clustering on LesMis\n", - "\n", - "A toy example of unweighted hypergraph clustering characters in the LesMis example based on scene co-occurance." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN', 'JA', 'TH'],\n", - " 1: ['GP', 'MA', 'MP'],\n", - " 2: ['BM', 'BR', 'CC', 'CH', 'CN', 'JU', 'JV']}" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenes = {\n", - " 0: ('FN', 'TH'),\n", - " 1: ('TH', 'JV'),\n", - " 2: ('BM', 'FN', 'JA'),\n", - " 3: ('JV', 'JU', 'CH', 'BM'),\n", - " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " 5: ('TH', 'GP'),\n", - " 6: ('GP', 'MP'),\n", - " 7: ('MA', 'GP')\n", - "}\n", - "\n", - "H = hnx.Hypergraph(scenes)\n", - "hnx.spec_clus(H,3) #3 clusters" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.draw(H)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Weighted hypergraph clustering\n", - "\n", - "Hypergraph clustering on term-document data using tf-idf as cell weights. In this example, we use the 20newsgroups dataset:\n", - "\n", - "https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html\n", - "\n", - "and consider documents falling into two subcategories. We form a static hypergraph with 787 documents as vertices, 20,868 terms as hyperedges, and tf-idf as vertex-hyperedge (i.e. cell) weights. We then form the normalized Laplacian and apply the spectral clustering algorithm as defined by \"RDC-Spec\" (Algorithm 1) in:\n", - "\n", - "Hayashi, K., Aksoy, S. G., Park, C. H., & Park, H. \n", - "Hypergraph random walks, laplacians, and clustering. \n", - "In Proceedings of CIKM 2020, (2020): 495-504.\n", - "\n", - "We plot the proportions of the document subcategories within each output cluster." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[(0, 'alt.atheism'),\n", - " (1, 'comp.graphics'),\n", - " (2, 'comp.os.ms-windows.misc'),\n", - " (3, 'comp.sys.ibm.pc.hardware'),\n", - " (4, 'comp.sys.mac.hardware'),\n", - " (5, 'comp.windows.x'),\n", - " (6, 'misc.forsale'),\n", - " (7, 'rec.autos'),\n", - " (8, 'rec.motorcycles'),\n", - " (9, 'rec.sport.baseball'),\n", - " (10, 'rec.sport.hockey'),\n", - " (11, 'sci.crypt'),\n", - " (12, 'sci.electronics'),\n", - " (13, 'sci.med'),\n", - " (14, 'sci.space'),\n", - " (15, 'soc.religion.christian'),\n", - " (16, 'talk.politics.guns'),\n", - " (17, 'talk.politics.mideast'),\n", - " (18, 'talk.politics.misc'),\n", - " (19, 'talk.religion.misc')]\n" - ] - } - ], - "source": [ - "#list possible categories to choose from\n", - "all_categories = np.array((fetch_20newsgroups(subset='test').target_names))\n", - "pprint(list(enumerate(all_categories)))" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "#select categories of documents to be clustered\n", - "categories = all_categories[[1,15]]\n", - "twenty_train = fetch_20newsgroups(subset='test',\n", - " categories=categories, shuffle=True, random_state=42)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "#record categories of documents\n", - "doc_types=dict()\n", - "for i,x in enumerate(twenty_train.filenames):\n", - " doc_types[i]=x.split('/')[-2]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<787x20868 sparse matrix of type ''\n", - "\twith 136994 stored elements in Compressed Sparse Row format>" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#form TF-IDF term-document matrix\n", - "tfidf_vect = TfidfVectorizer()\n", - "X_tfidf = tfidf_vect.fit_transform(twenty_train.data)\n", - "X_tfidf" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "#extract vertex-hyperedge incidences and weights from TFIDF matrix\n", - "mat = coo_matrix(X_tfidf)\n", - "edges = mat.col\n", - "nodes = mat.row\n", - "data = np.array([edges,nodes]).T\n", - "weights = mat.data\n", - "\n", - "h = hnx.Hypergraph(data,cell_weights=weights)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#check the hypergraph is connected, as this is required by spectral clustering\n", - "#if not, restrict to largest connected component or modify hypergraph as necessary\n", - "h.is_connected()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<787x20868 sparse matrix of type ''\n", - "\twith 136994 stored elements in Compressed Sparse Row format>" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# # outputs the cell weight of a selected node in a selected edge\n", - "# weight = lambda self, node, edge: self.elements[edge].cellweights[node]\n", - "\n", - "#the weighted incidence matrix which contain the cell weights\n", - "I,verMap,edgeMap = h.incidence_matrix(weights=True,index=True)\n", - "I" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[383, 404]\n" - ] - } - ], - "source": [ - "#cluster the vertices (documents)\n", - "num_clus=len(categories)\n", - "clusters=hnx.spec_clus(h,num_clus,weights=True)\n", - "print([len(v) for v in clusters.values()])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#visualize document category composition within each cluster\n", - "fig = plt.figure(figsize=(22, 10))\n", - "labels=sorted(list(set(doc_types.values())))\n", - "colors=['#e41a1c','#377eb8']\n", - "\n", - "#pie charts\n", - "for clus in range(num_clus):\n", - " ax=plt.subplot(131+clus)\n", - " counts=[[doc_types[y] for y in clusters[clus]].count(z) for z in labels]\n", - " ax.pie(counts, colors=colors, shadow=True, startangle=90)\n", - " ax.set_title(\"Cluster \"+repr(clus)+ \"\\n\"+ repr(sum(counts))+ ' Documents',fontsize=20)\n", - "\n", - "#legend\n", - "ax=plt.subplot(131+num_clus)\n", - "patches = [mpatches.Patch(color=color, label=label)\n", - " for label, color in zip(labels, colors)]\n", - "ax.legend(patches, labels, loc='center',fontsize=20, frameon=False)\n", - "ax.axis('off');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "interpreter": { - "hash": "4b11832e3fb1d317fabfdf226ff96dd8761e1caa77b8bb75a64cd45c858a9356" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tutorials/advanced/Tutorial 8 - Generative Models.ipynb b/tutorials/advanced/Tutorial 8 - Generative Models.ipynb deleted file mode 100644 index 87d678ad..00000000 --- a/tutorials/advanced/Tutorial 8 - Generative Models.ipynb +++ /dev/null @@ -1,329 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Generating hypergraphs using random models\n", - "\n", - "This tutorial and all supporting code were developed by Mirah Shi, Sinan Aksoy, and Nicholas Landry.\n", - "\n", - "Implementation of and tutorial using two hypergraph generative models: \n", - "1. [Erdös–Rényi](#erdosrenyi)\n", - "2. [Chung-Lu](#chunglu)\n", - "\n", - "Hypergraph Erdös–Rényi and Chung-Lu implementations are described in\n", - "\n", - "> S. Aksoy, T.G. Kolda, and A. Pinar. Measuring and modeling bipartite graphs with community struc-ture. In:Journal of Complex Networks 5.4 (Mar. 2017), pp. 581–603.\n", - "\n", - "and adapt the algorithm in\n", - "\n", - "> J. C. Miller and A. Hagberg. Efficient generation of networks with given expected degrees. In 8th International\n", - "Conference on Algorithms and Models for the Web Graph (2011), pp. 115–126." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "Generative models are useful tools in network science for their ability to approximate real data. Datasets are typically of a fixed size and generative models allow us to create networks with similar properties, but of arbitrary size. These models can be used as a proxy when the real data may too sensitive to reveal. Lastly, we can use generative models for *inference*, where given a real network and a generative model, we can calculate which parameters best match the given data. We can extend these network science ideas to networks where interactions can happen between greater than two entities." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import random\n", - "import matplotlib.pyplot as plt\n", - "import time\n", - "from collections import Counter\n", - "\n", - "import hypernetx as hnx\n", - "import hypernetx.algorithms.generative_models as gm\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Erdös–Rényi Hypergraphs \n", - "\n", - "\n", - "\n", - "\n", - "In the article [Measuring and modeling bipartite graphs with community structure](https://doi.org/10.1093/comnet/cnx001) by Aksoy et al., they define the bipartite version of the network Erdös–Rényi model. Any bipartite network can be expressed as a hypergraph if one layer is defined as the nodes and the other layer is defined as the edges. We developed an efficient algorithm based on the [Miller-Hagberg approach](https://doi.org/10.1007/978-3-642-21286-4_10) that runs in $O(N+M)$ complexity by drawing from a geometric distribution instead of the naive algorithm that runs in $O(NM)$ time by iterating through every combination and performing a weighted coin-flip." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "n = 1000\n", - "m = n\n", - "p = 0.01\n", - "\n", - "# generate ER hypergraph\n", - "H = gm.erdos_renyi_hypergraph(n, m, p)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the number of expected and generated vertex-hyperedge pairs" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Expected # pairs: 10000\n", - "Output # pairs: 9975\n" - ] - } - ], - "source": [ - "print('Expected # pairs: ', int(n*m*p))\n", - "print('Output # pairs: ', H.incidence_matrix().count_nonzero())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Chung-Lu Hypergraph \n", - "\n", - "\n", - "\n", - "Also in the article [Measuring and modeling bipartite graphs with community structure](https://doi.org/10.1093/comnet/cnx001) by Aksoy et al., they define the bipartite version of the network Chung-Lu model. Like before, we can generate a bipartite network and define one layer as the nodes and the other layer as the edges. We developed an efficient algorithm based on the [Miller-Hagberg approach](https://doi.org/10.1007/978-3-642-21286-4_10) that runs in $O(N+M)$ complexity instead of the naive algorithm that runs in $O(NM)$ time. Unlike the Erdös–Rényi case, in the Chung-Lu model, the probabilities vary by degree, so in addition to drawing from a geometric distribution, we sort the degrees in reverse order and perform rejection sampling.\n", - "\n", - "The Chung-Lu model fulfills a degree distribution in expectation. Given degree distributions $W_n=\\{w_1^v,...,w_n^v\\}, W_m=\\{w_1^e,...,w_m^e\\}$ for vertices and hyperedges respectively, the hypergraph Chung-Lu model assigns vertex $i$ to hyperedge $j$ with probability $$p_{ij}=\\frac{w_i^v w_j^e}{S},$$ where $$S=\\sum_{i=1}^n w_i^v=\\sum_{j=1}^m w_j^e$$" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example hypergraph\n", - "\n", - "We use a preprocessed disease-gene dataset (available from https://www.disgenet.org/downloads) and create a hypergraph with genes as vertices and diseases as hyperedges. Then we extract the degree sequences as input to ``chung_lu_hypergraph``." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of vertices: 12368\n", - "Number of hyperedges: 2261\n" - ] - } - ], - "source": [ - "gene_data = hnx.utils.toys.GeneData()\n", - "genes = gene_data.genes\n", - "diseases = gene_data.diseases\n", - "disease_gene_network = gene_data.disease_gene_network\n", - "print('Number of vertices: ', len(genes))\n", - "print('Number of hyperedges: ', len(diseases))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Construct degree sequences\n", - "\n", - "Label vertices and hyperedges with their desired degree:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "k1 = {n: d for n, d in disease_gene_network.degree() if n in genes}\n", - "k2 = {n: d for n, d in disease_gene_network.degree() if n in diseases}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create Chung-Lu hypergraph\n", - "\n", - "``chung_lu_hypergraph`` generates a bipartite edge list, or equivalently, a list of vertex-hyperedge pairs and outputs it as a HyperNetX object." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "H = gm.chung_lu_hypergraph(k1, k2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualize results" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# plot desired vs output degree distribution\n", - "node_degrees = [H.degree(node) for node in H.nodes]\n", - "edge_degrees = H.edge_size_dist()\n", - "\n", - "fig, ax = plt.subplots(1, 2, figsize=(14,5))\n", - "ax[0].scatter(Counter(k1.values()).keys(), Counter(k1.values()).values(), color='orange', s=8, label='DisGene')\n", - "ax[0].scatter(Counter(node_degrees).keys(), Counter(node_degrees).values(), color='blue', s=8, label='Chung-Lu hypergraph')\n", - "ax[0].set_xscale('log')\n", - "ax[0].set_yscale('log')\n", - "ax[0].set_xlabel('Degree')\n", - "ax[0].set_ylabel('Count')\n", - "ax[0].set_title('Vertex degree distribution')\n", - "ax[0].legend(loc='best')\n", - "\n", - "ax[1].scatter(Counter(k2.values()).keys(), Counter(k2.values()).values(), color='orange', s=8, label='DisGene')\n", - "ax[1].scatter(Counter(edge_degrees).keys(), Counter(edge_degrees).values(), color='blue', s=8, label='Chung-Lu hypergraph')\n", - "ax[1].set_xscale('log')\n", - "ax[1].set_yscale('log')\n", - "ax[1].set_xlabel('Degree')\n", - "ax[1].set_ylabel('Count')\n", - "ax[1].set_title('Hyperedge degree distribution')\n", - "ax[1].legend(loc='best')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As we can see, the Chung-Lu model does not match the degree distribution exactly (notice the small tail of the distribution of actual degrees in contrast to the desired degree distribution)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This algorithm, as mentioned before, has linear time complexity $O(N+M)$. We can test this out by plotting the hypergraph generation time with respect to $N+M$." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "n = [500, 500, 500, 1000, 1000, 1000]\n", - "m = [100, 500, 1000, 1000, 5000, 10000]\n", - "m_and_n = list()\n", - "generation_time = list()\n", - "\n", - "for i in range(len(n)):\n", - " k1 = {j : random.randint(1, 10) for j in range(n[i])}\n", - " k2 = {j : random.randint(1, 10) for j in range(m[i])}\n", - "\n", - " m_and_n.append(n[i] + m[i])\n", - "\n", - " start = time.time() \n", - " H = gm.chung_lu_hypergraph(k1, k2)\n", - " generation_time.append(time.time() - start)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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xhISETB9zzJgx8vT0tL18fX0zcSYAAMCRnTx5Ui1atFDnzp31559/qlatWoqOjtaHH34oV1dXs8tDDjD9pjWLxZLmZ8Mw0o1lZOHChfrwww8VHh6uUqVK3dcxhwwZosTERNvr5MmTmTgDAADgiAzD0LRp01SlShX98ssvcnNz05gxY7RlyxZVq1bN7PKQg0zbh7dEiRJycXFJ13k9e/Zsug7tP4WHh6tbt2769ttv1bhx4zTvlS5dOtPHdHNzk5ubWybPAAAAOKqjR4+qR48eWrNmjSSpXr16Cg0NVeXKlU2uDGYwrcPr6uqqgIAARUZGphmPjIy86x2SCxcuVJcuXbRgwQK1aNEi3fv16tVLd8yVK1dy1yUAAHlAamqqvvrqK1WtWlVr1qxRwYIFNWHCBEVFRRF28zBTn7Q2YMAAdezYUbVr11a9evU0bdo0xcXFqWfPnpL+Wmpw+vRpzZkzR9JfYbdTp06aOHGinnzySVsnt2DBgvL09JQkBQcH6+mnn9bYsWPVqlUr/fDDD1q1apU2bNhgzkkCAIAccfDgQQUFBWnjxo2SpIYNG2rGjBl6+OGHTa4MZjN1DW+7du0UEhKikSNHqkaNGlq/fr2WL1+ucuXKSZLi4+PT7Mk7depU3bp1S71795a3t7ftFRwcbJtTv359LVq0SDNnzlS1atU0a9YshYeHq27dujl+fgAAIPvdunVL48aNU/Xq1bVx40YVKVJEkydP1urVqwm7kGTyPryOin14AQDIHXbv3q2goCBt27ZN0l9bkU6bNk0PPfSQyZUhu+WKfXgBAADsdfPmTX388ceqVauWtm3bpgceeEAzZ87UL7/8QthFOqau4QUAAMismJgYBQUFaceOHZKkl156SZMnT1aZMmVMrgyOig4vAADIFW7cuKGhQ4fqiSee0I4dO/Tggw9q4cKF+v777wm7uCs6vAAAwOH9/vvvCgoK0r59+yT9deP7l19+me7hU0BG6PACAACHde3aNQ0cOFD169fXvn375OXlpYiICC1atIiwi3tGhxcAADikdevWqVu3bjpy5IgkqXPnzho/fryKFy9ucmXIbejwAgAAh3L58mX17t1bDRs21JEjR+Tj46Ply5dr1qxZhF3YhQ4vAABwGCtXrlSPHj1sD55666239Nlnn7EvPu4LgRcAAJju0qVLGjhwoMLCwiRJFSpU0PTp0/Xcc8+ZXBmcAUsaAACAqX788UdVqVJFYWFhslgs6tu3r3bu3EnYRZahwwsAAExx/vx5BQcHa8GCBZKkxx57TKGhoWrQoIHJlcHZ0OEFAAA57ttvv5Wfn58WLFigfPny6d1331VsbCxhF9mCDi8AAMgxCQkJ6tOnj5YuXSpJqlKlimbOnKk6deqYXBmcGR1eAACQ7QzD0Lx581SlShUtXbpU+fPn1wcffKDo6GjCLrIdHV4AAJCtTp06pZ49e+rnn3+WJNWsWVMzZ85U9erVTa4MeQUdXgAAkC0Mw9CMGTNUpUoV/fzzz3J1ddXo0aO1ZcsWwi5yFB1eAACQ5Y4dO6YePXpo9erVkqQnn3xSYWFhqly5ssmVIS+iwwsAALJMamqqvv76a1WtWlWrV6+Wu7u7vvjiC23YsIGwC9PQ4QUAAFni4MGD6tatmzZs2CBJevrppzVjxgw9+uijJleGvI4OLwAAuC9Wq1Wff/65qlevrg0bNqhw4cL65ptvtHbtWsIuHAIdXgAAYLc9e/YoKChIW7dulSQ1adJE06ZNU/ny5c0tDPgbOrwAACDTbt68qU8++UQ1a9bU1q1b5enpqdDQUK1YsYKwC4dDhxcAAGTK9u3bFRQUpNjYWEnSiy++qClTpqhs2bLmFgbcAR1eAABwT5KTkzVs2DDVqVNHsbGxKl68uObPn69ly5YRduHQ6PACAIB/tWXLFgUFBWnv3r2SpFdeeUVfffWVvLy8TK4M+Hd0eAEAwB1du3ZNgwYNUv369bV3716VKlVKS5Ys0eLFiwm7yDXo8AIAgAytX79e3bp10+HDhyVJHTt21IQJE/Tggw+aXBmQOXR4AQBAGleuXFGfPn30zDPP6PDhwypbtqx++uknzZkzh7CLXIkOLwAAsFm1apW6d++uEydOSJJ69OihcePGydPT0+TKAPsReAEAgBITEzVo0CDNmDFDklS+fHlNnz5djRs3Nrky4P6xpAEAgDzu559/VpUqVWxht0+fPtq1axdhF06DDi8AAHnUhQsX1K9fP82bN0+S9MgjjygsLEyBgYEmVwZkLTq8AADkQUuXLpWfn5/mzZunfPnyadCgQdqxYwdhF06JDi8AAHnI//73P/Xp00dLliyRJPn5+SksLEx169Y1uTIg+9DhBQAgDzAMQwsWLFCVKlW0ZMkSubi4aNiwYYqJiSHswunR4QUAwMmdPn1avXr10o8//ihJqlGjhsLCwlSzZk2TKwNyBh1eAACclGEYCgsLU5UqVfTjjz/K1dVVn3zyibZu3UrYRZ5ChxcAACd04sQJ9ejRQ5GRkZKkJ554whZ+gbyGDi8AAE4kNTVVkyZNkr+/vyIjI+Xu7q7PP/9cmzZtIuwiz6LDCwCAkzh8+LC6deum9evXS5ICAwMVGhqqRx991OTKAHPR4QUAIJezWq0aP368qlWrpvXr16tw4cL6+uuv9dtvvxF2AdHhBQAgV9u7d6+CgoK0ZcsWSVLjxo01ffp0lS9f3tzCAAdChxcAgFzo5s2bGj16tGrWrKktW7bIw8NDM2bM0MqVKwm7wD/Q4QUAIJeJjY1VUFCQtm/fLklq0aKFpkyZIh8fH5MrAxwTHV4AAHKJ5ORkffDBB6pTp462b9+u4sWLa968efrxxx8Ju8Bd0OEFACAX2Lp1q4KCgrRnzx5J0ssvv6xvvvlGXl5eJlcGOD46vAAAOLDr16/r3XffVb169bRnzx6VKlVK3377rZYsWULYBe4RHV4AABzUhg0bFBQUpEOHDkmS2rdvr5CQEJUoUcLkyoDchQ4vAAAO5sqVK+rbt6+efvppHTp0SGXKlNGyZcs0b948wi5gBzq8AAA4kNWrV6t79+46fvy4JKlbt276/PPP9cADD5haF5Cb0eEFAMABJCYm6q233lLjxo11/PhxlStXTitXrtSMGTMIu8B9IvACAGCy5cuXy9/fX9OmTZMk9e7dW7t27VKTJk1MrgxwDixpAADAJBcvXlT//v01Z84cSdLDDz+ssLAwPf300yZXBjgXOrwAAJjgu+++k5+fn+bMmSOLxaIBAwZo586dhF0gG9DhBQAgB509e1bvvPOOFi9eLEmqXLmywsLC9OSTT5pcGeC86PACAJADDMPQwoUL5efnp8WLF8vFxUXvv/++YmJiCLtANqPDCwBANjtz5ox69eqlZcuWSZKqVaummTNnqlatWiZXBuQNdHgBAMgmhmFo5syZ8vPz07Jly1SgQAGNHDlS27ZtI+wCOcj0wDtp0iRVqFBB7u7uCggIUFRU1B3nxsfH64033lClSpWUL18+9evXL8N5ISEhqlSpkgoWLChfX1/1799fN27cyKYzAAAgvRMnTuj5559XUFCQEhMTVadOHcXExGj48OFydXU1uzwgTzE18IaHh6tfv34aOnSotm/frsDAQDVv3lxxcXEZzk9OTlbJkiU1dOhQVa9ePcM58+fP1+DBgzVixAjt27dPoaGhCg8P15AhQ7LzVAAAkCSlpqZq8uTJ8vf318qVK+Xm5qbPPvtMmzZtkr+/v9nlAXmSxTAMw6wvr1u3rmrVqqXJkyfbxipXrqzWrVtrzJgxd/1sw4YNVaNGDYWEhKQZ79Onj/bt26fVq1fbxgYOHKitW7fetXv8d0lJSfL09FRiYqI8PDzu/YQAAHna4cOH1b17d61bt06S9NRTTyk0NFSVKlUyuTLA+WQmr5nW4U1JSVF0dLSaNm2aZrxp06batGmT3cdt0KCBoqOjtXXrVknS0aNHtXz5crVo0eKOn0lOTlZSUlKaFwAA98pqtWrChAmqVq2a1q1bp0KFCunLL7/U+vXrCbuAAzBtl4bz58/LarXKy8srzbiXl5cSEhLsPu5rr72mc+fOqUGDBjIMQ7du3VKvXr00ePDgO35mzJgx+uijj+z+TgBA3rVv3z4FBQXp999/lyQ9++yzmj59uipWrGhyZQBuM/2mNYvFkuZnwzDSjWXGb7/9plGjRmnSpEmKiYlRRESEfvrpJ3388cd3/MyQIUOUmJhoe508edLu7wcA5A23bt3SmDFjVKNGDf3+++8qWrSopk2bplWrVhF2AQdjWoe3RIkScnFxSdfNPXv2bLqub2YMHz5cHTt2VPfu3SVJVatW1dWrV/Xmm29q6NChypcvfcZ3c3OTm5ub3d8JAMhbduzYoaCgIMXExEiSmjdvrqlTp8rX19fkygBkxLQOr6urqwICAhQZGZlmPDIyUvXr17f7uNeuXUsXal1cXGQYhky8Pw8A4ARSUlI0YsQI1a5dWzExMSpWrJjmzJmjn3/+mbALODBTn7Q2YMAAdezYUbVr11a9evU0bdo0xcXFqWfPnpL+Wmpw+vRpzZkzx/aZ2NhYSdKVK1d07tw5xcbGytXVVX5+fpKkli1bavz48apZs6bq1q2rw4cPa/jw4XrppZfk4uKS4+cIAHAOf/zxh7p27ardu3dLkv7zn/9o0qRJKl26tMmVAfg3pgbedu3a6cKFCxo5cqTi4+Pl7++v5cuXq1y5cpL+etDEP/fkrVmzpu2vo6OjtWDBApUrV07Hjx+XJA0bNkwWi0XDhg3T6dOnVbJkSbVs2VKjRo3KsfMCADiP69ev66OPPtK4ceOUmpqqkiVL6uuvv9Yrr7xyX/ecAMg5pu7D66jYhxcAIEkbN25Ut27ddODAAUnS66+/rokTJ6pkyZImVwYgV+zDCwCAo7p69ar69eunwMBAHThwQN7e3vr++++1YMECwi6QC5m6pAEAAEezZs0ade/eXceOHZMkde3aVV988YWKFStmcmUA7EWHFwAA/fXr0Z49e+q5557TsWPH5Ovrq19//VVhYWGEXSCXI/ACAPK8X3/9VVWqVNHUqVMlSb169dLu3bvVrFkzkysDkBVY0gAAyLP+/PNPDRgwQLNmzZIkVaxYUaGhoWrYsKGpdQHIWnR4AQB50g8//CA/Pz/NmjVLFotF/fv3186dOwm7gBOiwwsAyFPOnTunvn37atGiRZKkxx9/XGFhYapXr57JlQHILnR4AQB5gmEYCg8Pl5+fnxYtWiQXFxcNGTJE27dvJ+wCTo4OLwDA6cXHx+vtt9/W999/L0mqVq2awsLCFBAQYG5hAHIEHV4AgNMyDEOzZ8+Wn5+fvv/+exUoUEAfffSRtm3bRtgF8hA6vAAApxQXF6e33npLv/76qySpdu3aCgsLU9WqVU2uDEBOo8MLAHAqqampmjp1qvz9/fXrr7/Kzc1NY8eO1ebNmwm7QB5FhxcA4DSOHj2q7t27a+3atZKk+vXrKywsTJUqVTK5MgBmosMLAMj1rFarJk6cqKpVq2rt2rUqVKiQJk6cqPXr1xN2AdDhBQDkbvv371e3bt20adMmSVKjRo00Y8YMVaxY0eTKADgKOrwAgFzp1q1bGjt2rGrUqKFNmzapaNGimjJlilatWkXYBZAGHV4AQK6za9cude3aVdHR0ZKk559/XlOnTtVDDz1kcmUAHBEdXgBArpGSkqKPPvpIAQEBio6O1gMPPKBZs2Zp+fLlhF0Ad0SHFwCQK0RHRysoKEg7d+6UJLVq1UqTJ0+Wt7e3yZUBcHR0eAEADu3GjRt6//33VbduXe3cuVMlSpTQokWL9N133xF2AdwTOrwAAIe1efNmBQUFaf/+/ZKkdu3a6auvvlLJkiVNrgxAbkKHFwDgcK5du6YBAwboqaee0v79+1W6dGlFRERo0aJFhF0AmUaHFwDgUH777Td1795dR44ckSR17txZ48ePV/HixU2uDEBuRYcXAOAQLl++rLfffluNGjXSkSNH5OPjo+XLl2vWrFmEXQD3hQ4vAMB0K1as0Jtvvqm4uDhJ0ltvvaXPPvtMHh4eJlcGwBkQeAEApvnzzz81cOBAzZw5U5JUoUIFzZgxQ88++6zJlQFwJixpAACYYtmyZapSpYpmzpwpi8Wi4OBg7dq1i7ALIMvR4QUA5Kjz58+rb9++WrhwoSTpscceU1hYmJ566imTKwPgrOjwAgByhGEYWrx4sfz8/LRw4ULly5dP7733nmJjYwm7ALIVHV4AQLZLSEjQ22+/re+++06S5O/vr7CwMNWpU8fkygDkBXR4AQDZxjAMzZkzR35+fvruu++UP39+jRgxQtHR0YRdADmGDi8AIFucPHlSb731ln755RdJUq1atRQWFqbq1aubXBmAvIYOLwAgSxmGoWnTpqlKlSr65Zdf5OrqqjFjxmjLli2EXQCmoMMLAMgyR48eVY8ePbRmzRpJ0pNPPqmwsDBVrlzZ5MoA5GV0eAEA9y01NVVfffWVqlatqjVr1qhgwYKaMGGCNmzYQNgFYDo6vACA+3Lw4EEFBQVp48aNkqRnnnlGM2bM0COPPGJyZQDwFzq8AAC73Lp1S+PGjVP16tW1ceNGFSlSRJMmTdKaNWsIuwAcCh1eAECm7d69W0FBQdq2bZskqWnTppo2bZrKlStncmUAkB4dXgDAPbt586Y+/vhj1apVS9u2bZOnp6fCwsL066+/EnYBOCw6vACAexITE6OgoCDt2LFDktSyZUtNmTJFZcqUMbkyALg7Ai8AwMZqtSoqKkrx8fHy9vZWYGCgras7duxYWa1WPfjgg/rqq6/02muvyWKxmF0yAPwrAi8AQJIUERGh4OBgnTp1yjZWqlQpFShQQKdPn5Ykvfrqq/rqq69UqlQps8oEgEwj8AIAFBERobZt28owjDTjZ8+elSTbWt02bdqYUR4A3BduWgOAPM5qtSo4ODhd2P27IkWKqFWrVjlYFQBkHQIvAORxUVFRaZYxZOT06dOKiorKoYoAIGsReAEgj4uPj8/SeQDgaAi8AJCHGYah33///Z7ment7Z3M1AJA9uGkNAPKohIQEde3aVb/++utd51ksFvn4+CgwMDCHKgOArEWHFwDyoB9++EFVq1bVr7/+Kjc3N3Xr1k0WiyXdvrq3fw4JCZGLi4sZpQLAfSPwAkAecuXKFfXo0UOtW7fW+fPnVb16dUVHR2vGjBlasmSJypYtm2a+j4+PlixZwnZkAHI1i3G3fWjyqKSkJHl6eioxMVEeHh5mlwMAWWLLli3q0KGDDh8+LIvFov/+978aOXKk3NzcbHMyetIanV0AjigzeY01vADg5G7duqXRo0dr5MiRslqt8vHx0Zw5c9SoUaN0c11cXNSwYcOcLxIAshGBFwCc2JEjR9SxY0dt3rxZkvTaa69p0qRJKlasmMmVAUDOYQ0vADghwzA0c+ZM1ahRQ5s3b5aHh4fmzZunhQsXEnYB5Dl0eAHAyVy4cEFvvvmmIiIiJElPP/205syZo3LlyplcGQCYgw4vADiRlStXqmrVqoqIiFD+/Pk1ZswYrVmzhrALIE+jwwsATuDGjRsaPHiwJk6cKEl6/PHHNX/+fNWqVcvkygDAfAReAMjlduzYofbt22vPnj2SpN69e+uzzz5ToUKFTK4MAByD6UsaJk2apAoVKsjd3V0BAQGKioq649z4+Hi98cYbqlSpkvLly6d+/fplOO/SpUvq3bu3vL295e7ursqVK2v58uXZdAYAYI7U1FR98cUXeuKJJ7Rnzx55eXnp559/1tdff03YBYC/MTXwhoeHq1+/fho6dKi2b9+uwMBANW/eXHFxcRnOT05OVsmSJTV06FBVr149wzkpKSlq0qSJjh8/riVLlujAgQOaPn16uqcHAUBudurUKTVp0kSDBg1SSkqKXnrpJe3cuVMvvPCC2aUBgMMx9UlrdevWVa1atTR58mTbWOXKldW6dWuNGTPmrp9t2LChatSooZCQkDTjU6ZM0bhx47R//34VKFDArrp40hoAR7Z48WK99dZbunTpkgoVKqSQkBB1795dFovF7NIAIMdkJq+Z1uFNSUlRdHS0mjZtmma8adOm2rRpk93HXbZsmerVq6fevXvLy8tL/v7+Gj16tKxW6x0/k5ycrKSkpDQvAHA0iYmJ6tSpk9q1a6dLly6pTp062r59u3r06EHYBYC7MC3wnj9/XlarVV5eXmnGvby8lJCQYPdxjx49qiVLlshqtWr58uUaNmyYvvjiC40aNeqOnxkzZow8PT1tL19fX7u/HwCyQ1RUlKpXr665c+cqX758Gj58uDZu3KjHHnvM7NIAwOGZftPaP7sShmHcV6ciNTVVpUqV0rRp0xQQEKDXXntNQ4cOTbNs4p+GDBmixMRE2+vkyZN2fz8AZKWUlBQNHTpUDRs21IkTJ1ShQgVFRUVp5MiRdi/bAoC8xrRtyUqUKCEXF5d03dyzZ8+m6/pmhre3twoUKCAXFxfbWOXKlZWQkKCUlBS5urqm+4ybm5vc3Nzs/k4AyA779+9Xhw4dFB0dLUnq0qWLJk6cyL0FAJBJpnV4XV1dFRAQoMjIyDTjkZGRql+/vt3Hfeqpp3T48GGlpqbaxg4ePChvb+8Mwy4AOBrDMDRlyhTVqlVL0dHRKlasmL799lvNnDmTsAsAdjB1ScOAAQM0Y8YMhYWFad++ferfv7/i4uLUs2dPSX8tNejUqVOaz8TGxio2NlZXrlzRuXPnFBsbq71799re79Wrly5cuKDg4GAdPHhQP//8s0aPHq3evXvn6LkBgD3+97//qWXLlurVq5euX7+uxo0ba9euXWrbtq3ZpQFArmXqk9batWunCxcuaOTIkYqPj5e/v7+WL19ue+Z7fHx8uj15a9asafvr6OhoLViwQOXKldPx48clSb6+vlq5cqX69++vatWqqWzZsgoODtZ7772XY+cFAPb48ccf1a1bN507d05ubm769NNP1bdvX+XLZ/rtFgCQq5m6D6+jYh9eADnp6tWrGjhwoKZOnSpJqlq1qubPn6+qVauaXBkAOK5csQ8vAED6448/VKtWLVvYHTBggLZu3UrYBYAsROAFABNYrVaNGjVK9erV08GDB1W2bFmtWrVKX3zxhdzd3c0uDwCciqlreAEgLzp27Jg6duyojRs3SpJeeeUVTZkyRcWLFze5MgBwTnR4ASCHGIahOXPmqHr16tq4caOKFi2q2bNnKzw8nLALANmIDi8A5ICLFy+qV69eWrx4saS/9gyfO3euKlSoYHJlAOD86PACQDZbvXq1qlWrpsWLFyt//vwaNWqU1q1bR9gFgBxChxcAssmNGzc0dOhQjR8/XpL02GOPad68eapTp47JlQFA3kLgBYBssGvXLrVv3167du2SJPXs2VOff/65ChcubHJlAJD3sKQBALJQamqqQkJCVKdOHe3atUslS5bUsmXLNHnyZMIuAJiEDi8AZJHTp0+rS5cuWrVqlSSpRYsWCg0NlZeXl8mVAUDeRocXALLA0qVLVa1aNa1atUoFCxbU5MmT9eOPPxJ2AcAB0OEFgPuQlJSk4OBgzZo1S5IUEBCg+fPnq1KlSuYWBgCwsSvwJicna+vWrTp+/LiuXbumkiVLqmbNmmyxAyBP2bhxozp27Khjx47JYrFoyJAhGjFihFxdXc0uDQDwN5kKvJs2bdJXX32l77//XikpKXrggQdUsGBBXbx4UcnJyapYsaLefPNN9ezZU0WLFs2umgHAVDdv3tTIkSM1evRopaamqly5cpo7d64CAwPNLg0AkIF7XsPbqlUrtW3bVmXLltWKFSt0+fJlXbhwQadOndK1a9d06NAhDRs2TKtXr9Zjjz2myMjI7KwbAExx8OBBPfXUU/rkk0+Umpqqjh07aseOHYRdAHBg99zhbdq0qb799ts7/qquYsWKqlixojp37qw9e/bozJkzWVYkAJjNMAxNnz5d/fv317Vr1/TAAw9oypQpateundmlAQD+hcUwDMPsIhxNUlKSPD09lZiYKA8PD7PLAWCyc+fOqXv37lq2bJkk6dlnn9Xs2bPl4+NjcmUAkHdlJq/ZtS3ZyZMnderUKdvPW7duVb9+/TRt2jR7DgcADmv58uWqWrWqli1bJldXV33++eeKjIwk7AJALmJX4H3jjTe0du1aSVJCQoKaNGmirVu36v3339fIkSOztEAAMMO1a9fUp08ftWjRQv/73/9UpUoVbd26VQMHDlS+fGxhDgC5iV3/1d69e7eeeOIJSdLixYvl7++vTZs2acGCBba9KAEgt4qJiVFAQIC++eYbSVJwcLD++OMPVa9e3eTKAAD2sCvw3rx5U25ubpKkVatW6aWXXpIkPf7444qPj8+66gAgB1mtVn366aeqW7eu9u/fL29vb61YsUIhISFyd3c3uzwAgJ3sCrxVqlTRlClTFBUVpcjISD3//POSpDNnzujBBx/M0gIBICecOHFCzz77rIYMGaJbt26pTZs22rVrl5o2bWp2aQCA+2RX4B07dqymTp2qhg0b6vXXX7f9mm/ZsmW2pQ4AkFvMnz9f1apV0/r161WkSBGFhYVpyZIl/AEeAJyE3duSWa1WJSUlqVixYrax48ePq1ChQipVqlSWFWgGtiUD8oY///xTvXv31sKFCyVJ9erV09y5c/Xwww+bXBkA4N9kJq9l6tHCf+fi4pIm7EpS+fLl7T0cAOSo3377TZ06ddLJkyfl4uKiESNGaMiQIcqf3+7/LAIAHNQ9L2l4/vnntWnTpn+dd/nyZY0dO9Z2dzMAOJLk5GS9++67evbZZ3Xy5Ek98sgj2rhxo4YPH07YBQAndc//dX/llVf06quvqmjRonrppZdUu3ZtlSlTRu7u7vrzzz+1d+9ebdiwQcuXL9eLL76ocePGZWfdAJBpe/bsUfv27bVjxw5JUo8ePTR+/HgVKVLE5MoAANkpU2t4U1JStGTJEoWHhysqKkqXLl366yAWi/z8/NSsWTP16NFDlSpVyq56cwRreAHnYhiGvv76a7377ru6ceOGSpQooRkzZqhVq1ZmlwYAsFNm8prdN61JUmJioq5fv64HH3xQBQoUsPcwDofACziP+Ph4de3aVStWrJD01/KsmTNnqnTp0iZXBgC4H5nJa/f1fExPT0+VLl3aqcIuAOfx3XffqWrVqlqxYoXc3d319ddfa/ny5YRdAMhjuEMDgNO5cuWK+vXrp9DQUElSjRo1NH/+fPn5+ZlcGQDADPfV4QUAR/P777+rRo0aCg0NlcVi0XvvvactW7YQdgEgD6PDC8Ap3Lp1S6NGjdLHH38sq9Wqhx56SHPmzNEzzzxjdmkAAJMReAHkeocPH1aHDh20ZcsWSdIbb7yhb775Rg888IC5hQEAHILdSxouXbqkGTNmaMiQIbp48aIkKSYmRqdPn86y4gDgbgzDUGhoqGrUqKEtW7bI09NT8+fP1/z58wm7AAAbuzq8O3fuVOPGjeXp6anjx4+rR48eKl68uL777judOHFCc+bMyeo6ASCN8+fP680339R3330nSXrmmWc0Z84cPfTQQyZXBgBwNHZ1eAcMGKAuXbro0KFDcnd3t403b95c69evz7LiACAjK1asUNWqVfXdd9+pQIECGjt2rFavXk3YBQBkyK4O77Zt2zR16tR042XLllVCQsJ9FwUAGbl+/boGDx6sL7/8UpJUuXJlzZ8/XzVr1jS5MgCAI7Mr8Lq7uyspKSnd+IEDB1SyZMn7LgoA/ik2Nlbt27fX3r17JUl9+vTRZ599poIFC5pcGQDA0dm1pKFVq1YaOXKkbt68KUmyWCyKi4vT4MGD9fLLL2dpgQDyttTUVI0bN05PPPGE9u7dq9KlS2v58uX66quvCLsAgHtiV+D9/PPPde7cOZUqVUrXr1/XM888o0ceeURFixbVqFGjsrpGAHnUyZMn9dxzz+ndd9/VzZs31apVK+3cuVPNmzc3uzQAQC5i15IGDw8PbdiwQWvWrFFMTIxSU1NVq1YtNW7cOKvrA5BHLVq0SD179lRiYqIKFy6siRMnKigoSBaLxezSAAC5jMUwDMPsIhxNUlKSPD09lZiYKA8PD7PLAfKUS5cuqU+fPpo/f74k6YknntC8efP06KOPmlwZAMCRZCav2f2kta1bt+q3337T2bNnlZqamua98ePH23tYAHnY+vXr1bFjR8XFxSlfvnwaPny4hg4dqgIFCphdGgAgF7Mr8I4ePVrDhg1TpUqV5OXlleZXjPy6EUBmpaSkaMSIERo7dqwMw1DFihU1b9481atXz+zSAABOwK7AO3HiRIWFhalLly5ZXA6AvGb//v1q3769YmJiJElBQUEKCQlR0aJFTa4MAOAs7NqlIV++fHrqqaeyuhYAeYhhGJo0aZJq1aqlmJgYFS9eXEuXLlVoaChhFwCQpewKvP3799c333yT1bUAyCMSEhLUokUL9e7dW9evX1fTpk21a9cutWnTxuzSAABOyK4lDYMGDVKLFi308MMPy8/PL90NJREREVlSHADns2zZMnXr1k3nz5+Xm5ubPvvsM/Xp00f58tn1528AAP6VXYH3nXfe0dq1a9WoUSM9+OCD3KgG4F9dvXpVAwYM0LRp0yRJ1apV04IFC1SlShWTKwMAODu7Au+cOXO0dOlStWjRIqvrAeCEtm7dqg4dOujQoUOyWCwaOHCgPvnkE7m5uZldGgAgD7Drd4jFixfXww8/nNW1AHAyt27d0ieffKL69evr0KFD8vHx0apVqzRu3DjCLgAgx9gVeD/88EONGDFC165dy+p6ADiJo0eP6plnntHw4cNltVr16quvaufOnXr22WfNLg0AkMfYtaThyy+/1JEjR+Tl5aXy5cunu2nt9n6aAPIewzA0Z84cvfPOO7p8+bI8PDz0zTffqH379qz3BwCYwq7A27p16ywuA4AzuHDhgnr27KklS5ZIkgIDAzVnzhyVL1/e3MIAAHmaxTAMw+wiHE1SUpI8PT2VmJgoDw8Ps8sBcoXIyEh16dJFZ86cUf78+fXxxx/rv//9r1xcXMwuDQDghDKT1+zq8ALAbTdu3NCQIUMUEhIiSapUqZLmz5+vgIAAcwsDAOD/u+fAW7x4cR08eFAlSpRQsWLF7roW7+LFi1lSHADHtnPnTrVv3167d++WJL399tsaN26cChUqZHJlAAD8n3sOvBMmTLA9337ChAlZdvPJpEmTNG7cOMXHx6tKlSoKCQlRYGBghnPj4+M1cOBARUdH69ChQ+rbt6+tq5SRRYsW6fXXX1erVq30/fffZ0m9AKTU1FSFhIRoyJAhSklJUalSpRQWFsbe3AAAh3TPgbdz5862v+7SpUuWfHl4eLj69eunSZMm6amnntLUqVPVvHlz7d27Vw899FC6+cnJySpZsqSGDh2qCRMm3PXYJ06c0KBBg+4YngHY59SpU+rSpYtWr14tSWrZsqVmzJihUqVKmVwZAAAZs2sfXhcXF509ezbd+IULFzJ1g8r48ePVrVs3de/eXZUrV1ZISIh8fX01efLkDOeXL19eEydOVKdOneTp6XnH41qtVrVv314fffSRKlaseM/1ALi7b7/9VtWqVdPq1atVqFAhTZ06VT/88ANhFwDg0OwKvHfa2CE5OVmurq73dIyUlBRFR0eradOmacabNm2qTZs22VOWzciRI1WyZEl169btnuYnJycrKSkpzQvA/0lKSlLnzp316quv6s8//1Tt2rW1fft2vfnmm+ytCwBweJnapeHLL7+UJFksFs2YMUNFihSxvWe1WrV+/Xo9/vjj93Ss8+fPy2q1ysvLK824l5eXEhISMlNWGhs3blRoaKhiY2Pv+TNjxozRRx99ZPd3As5sw4YN6tixo44fP658+fLp/fff1wcffJDugTMAADiqTAXe2+tmDcPQlClT0ixfcHV1Vfny5TVlypRMFfDP7pBhGHZ3jC5fvqwOHTpo+vTpKlGixD1/bsiQIRowYIDt56SkJPn6+tpVA+Asbt68qY8++khjxoxRamqqypcvr3nz5umpp54yuzQAADIlU4H32LFjkqRGjRopIiJCxYoVs/uLS5QoIRcXl3Td3LNnz6br+t6rI0eO6Pjx42rZsqVtLDU1VZKUP39+HThwQA8//HC6z7m5ucnNzc2u7wSc0YEDB9ShQwf98ccfkv66afXLL7/kQSwAgFzJrjW8a9euva+wK/3VEQ4ICFBkZGSa8cjISNWvX9+uYz7++OPatWuXYmNjba+XXnpJjRo1UmxsLF1b4F8YhqGpU6eqVq1a+uOPP1SsWDEtXrxYs2bNIuwCAHItU5+0NmDAAHXs2FG1a9dWvXr1NG3aNMXFxalnz56S/lpqcPr0ac2ZM8f2mdtrc69cuaJz584pNjZWrq6u8vPzk7u7u/z9/dN8xwMPPCBJ6cYBpHX27Fl169ZNP/30kyTpueee06xZs+Tj42NyZQAA3B9TA2+7du104cIFjRw5UvHx8fL399fy5ctVrlw5SX89aCIuLi7NZ2rWrGn76+joaC1YsEDlypXT8ePHc7J0wKn8/PPPCgoK0tmzZ+Xq6qpPP/1UwcHBypfPrl8CAQDgUCzGnfYYy8OSkpLk6empxMREfo0Lp3bt2jUNGjTItve1v7+/FixYoKpVq5pcGQAAd5eZvEb7BsijoqOjVatWLVvY7d+/v7Zt20bYBQA4HbuXNFy6dElbt27V2bNnbTsh3NapU6f7LgxA9rBarfrss8/0wQcf6NatWypTpoxmz56txo0bm10aAADZwq7A++OPP6p9+/a6evWqihYtmmbfXIvFQuAFHNTx48fVsWNHbdiwQZLUtm1bTZ06VcWLFze5MgAAso9dSxoGDhyooKAgXb58WZcuXdKff/5pe128eDGrawRwnwzD0Ny5c1WtWjVt2LBBRYoU0axZs7R48WLCLgDA6dnV4T19+rT69u2rQoUKZXU9ALLYn3/+qZ49e2rx4sWSpPr162vu3LmqWLGiyZUBAJAz7OrwNmvWzPYEJgCOa82aNapWrZoWL16s/Pnz65NPPtG6desIuwCAPMWuDm+LFi303//+V3v37lXVqlVVoECBNO+/9NJLWVIcAPskJydr6NCh+uKLLyRJjz76qObPn686deqYXBkAADnPrn1477YZvcVikdVqva+izMY+vMjNdu/erfbt22vnzp2SpLfeektffPGFChcubHJlAABknczkNbs6vP/chgyA+VJTU/XVV1/pvffeU3JyskqUKKHQ0FB+4wIAyPNMfbQwgKxx5swZdenSRZGRkZKkF154QaGhoSpdurTJlQEAYD67n7S2bt06tWzZUo888ogeffRRvfTSS4qKisrK2gDcg4iICFWtWlWRkZFyd3fXN998o59++omwCwDA/2dX4J03b54aN26sQoUKqW/fvurTp48KFiyo5557TgsWLMjqGgFk4PLlywoKCtLLL7+sixcvqlatWoqJidHbb7+d5mEwAADkdXbdtFa5cmW9+eab6t+/f5rx8ePHa/r06dq3b1+WFWgGblqDo9u8ebM6dOigo0ePymKxaPDgwfrwww/l6upqdmkAAOSIzOQ1uzq8R48eVcuWLdONv/TSSzp27Jg9hwRwD27evKkRI0aoQYMGOnr0qMqVK6d169Zp9OjRhF0AAO7ArsDr6+ur1atXpxtfvXq1fH1977soAOkdOnRIDRo00MiRI5WamqoOHTpox44dCgwMNLs0AAAcml27NAwcOFB9+/ZVbGys6tevL4vFog0bNmjWrFmaOHFiVtcI5GmGYSg0NFT9+vXT1atX9cADD2jy5Ml67bXXzC4NAIBcwa7A26tXL5UuXVpffPGFFi9eLOmvdb3h4eFq1apVlhYI5GXnzp1Tjx499MMPP0iSGjVqpNmzZ/ObFAAAMsGum9acHTetwRH88ssv6tq1q/73v/+pQIECGj16tAYMGHDXJx0CAJBXZPuT1gBkn+vXr+vdd9/V119/LUny8/PT/PnzVaNGDXMLAwAgl7rnwFu8eHEdPHhQJUqUULFixe66z+fFixezpDggr9m+fbvat29v29ovODhYY8aMUcGCBU2uDACA3OueA++ECRNUtGhR21+zsT2QdaxWqz7//HMNHz5cN2/eVOnSpTVr1iw1a9bM7NIAAMj1WMObAdbwIifFxcWpU6dOWrdunSTpP//5j6ZNm6YSJUqYXBkAAI4r2x884eLiorNnz6Ybv3DhglxcXOw5JJAnLViwQNWqVdO6detUuHBhhYaGaunSpYRdAACykF03rd2pKZycnMzTnoB7cOnSJb399ttauHChJOnJJ5/UvHnz9PDDD5tcGQAAzidTgffLL7+UJFksFs2YMUNFihSxvWe1WrV+/Xo9/vjjWVsh4GR+++03derUSSdPnpSLi4uGDx+uoUOHKn9+Nk0BACA7ZOr/sBMmTJD0V4d3ypQpaZYvuLq6qnz58poyZUrWVgg4iZSUFA0fPlzjxo2TYRh6+OGHNW/ePD355JNmlwYAgFPLVOA9duyYpL+e9hQREaFixYplS1GAs9m7d6/at2+v2NhYSVL37t01YcKENL8lAQAA2cOu36GuXbs2q+sAnJJhGPrmm2/03//+Vzdu3NCDDz6oGTNmqHXr1maXBgBAnmH3osFTp05p2bJliouLU0pKSpr3xo8ff9+FAbldfHy8goKC9Ouvv0qSmjVrppkzZ8rb29vkygAAyFvsCryrV6/WSy+9pAoVKujAgQPy9/fX8ePHZRiGatWqldU1ArnO999/rx49euj8+fNyd3fXuHHj1Lt3bx7YAgCACezah3fIkCEaOHCgdu/eLXd3dy1dulQnT57UM888o1deeSWrawRyjStXrqhHjx76z3/+o/Pnz6tGjRr6448/1KdPH8IuAAAmsSvw7tu3T507d5Yk5c+fX9evX1eRIkU0cuRIjR07NksLBHKLLVu2qGbNmpoxY4YsFoveffdd/f7776pSpYrZpQEAkKfZFXgLFy6s5ORkSVKZMmV05MgR23vnz5/PmsqAXOLWrVsaOXKknnrqKR0+fFi+vr5as2aNxo4dKzc3N7PLAwAgz7NrDe+TTz6pjRs3ys/PTy1atNDAgQO1a9cuRUREsKco8pQjR46oQ4cO+v333yVJr7/+uiZNmqQHHnjA3MIAAICNXYF3/PjxunLliiTpww8/1JUrVxQeHq5HHnnE9nAKwJkZhqGZM2cqODhYV65ckYeHhyZPnqw33njD7NIAAMA/ZDrwWq1WnTx5UtWqVZMkFSpUSJMmTcrywgBHdeHCBb355puKiIiQJD399NOaM2eOypUrZ3JlAAAgI5lew+vi4qJmzZrp0qVL2VAO4NhWrlypqlWrKiIiQgUKFNCnn36qNWvWEHYBAHBgdt20VrVqVR09ejSrawEc1vXr1xUcHKxmzZopPj5ejz/+uH7//Xe99957cnFxMbs8AABwF3YF3lGjRmnQoEH66aefFB8fr6SkpDQvwJns2LFDderU0ZdffilJ6t27t6Kjo3nICgAAuYTFMAwjsx/Kl+//cvLfN9M3DEMWi0VWqzVrqjNJUlKSPD09lZiYKA8PD7PLgUlSU1M1fvx4DR06VCkpKfLy8lJYWJheeOEFs0sDACDPy0xes2uXhrVr19pVGJBbnDx5Up07d7b9s96qVStNnz5dJUuWNLkyAACQWXYF3meeeSar6wAcRnh4uHr27KlLly6pUKFCCgkJUffu3Xk0MAAAuZRda3glKSoqSh06dFD9+vV1+vRpSdLcuXO1YcOGLCsOyEmJiYnq1KmTXnvtNV26dElPPPGEYmNj1aNHD8IuAAC5mF2Bd+nSpWrWrJkKFiyomJgY22OGL1++rNGjR2dpgUBOiIqKUvXq1TV37lzly5dPw4cP14YNG/Too4+aXRoAALhPdgXeTz75RFOmTNH06dNVoEAB23j9+vUVExOTZcUB2S0lJUXvv/++nnnmGZ04cUIVKlRQVFSURo4cmeafbQAAkHvZtYb3wIEDevrpp9ONe3h48EAK5Br79+9Xhw4dFB0dLUnq2rWrJk6cqKJFi5pcGQAAyEp2dXi9vb11+PDhdOMbNmxQxYoV77soIDsZhqHJkyerVq1aio6OVvHixfXtt98qLCyMsAsAgBOyK/C+9dZbCg4O1pYtW2SxWHTmzBnNnz9fgwYN0ttvv53VNQJZ5n//+59atmypt99+W9evX1eTJk20c+dOtW3b1uzSAABANrFrScO7776rxMRENWrUSDdu3NDTTz8tNzc3DRo0SH369MnqGoEs8eOPP6pbt246d+6c3NzcNHbsWL3zzjtpHqQCAACcj11PWrvt2rVr2rt3r1JTU+Xn56ciRYpkZW2m4UlrzuXq1asaOHCgpk6dKkmqVq2a5s+fL39/f5MrAwAA9sr2J63dVqhQIdWuXft+DgFkq23btql9+/Y6dOiQJGngwIEaNWqU3NzcTK4MAADkFLsC79WrV/Xpp59q9erVOnv2rFJTU9O8f/To0SwpDrCX1WrVp59+qg8//FC3bt1S2bJlNXv2bD333HNmlwYAAHKYXYG3e/fuWrdunTp27Chvb2+eQgWHcuzYMXXs2FEbN26UJL366quaPHmyihcvbnJlAADADHYF3l9++UU///yznnrqqayuB7CbYRiaM2eO3nnnHV2+fFlFixbVN998ow4dOvCHMgAA8jC7Am+xYsXolsEUVqtVUVFRio+Pl7e3twIDA+Xi4qKLFy+qZ8+e+vbbbyVJDRo00Ny5c1W+fHlzCwYAAKazK/B+/PHH+uCDDzR79mwVKlQoq2sCMhQREaHg4GCdOnXKNubj46OgoCDNmDFDZ86cUf78+fXRRx/pvffek4uLi4nVAgAAR2HXtmQ1a9bUkSNHZBiGypcvrwIFCqR5PyYmJssKNAPbkjmeiIgItW3bVnf7x/Wxxx7T/Pnz2TkEAIA8INu3JWvdurU9HwPsYrVaFRwcfNewW7hwYW3bto0/oAAAgHTsCrwjRozIsgImTZqkcePGKT4+XlWqVFFISIgCAwMznBsfH6+BAwcqOjpahw4dUt++fRUSEpJmzvTp0zVnzhzt3r1bkhQQEKDRo0friSeeyLKakbOioqLSLGPIyNWrVxUTE6OGDRvmTFEAACDXsPuZqpcuXdKMGTM0ZMgQXbx4UdJfSxlOnz59z8cIDw9Xv379NHToUG3fvl2BgYFq3ry54uLiMpyfnJyskiVLaujQoapevXqGc3777Te9/vrrWrt2rTZv3qyHHnpITZs2zVRdcCzx8fFZOg8AAOQtdq3h3blzpxo3bixPT08dP35cBw4cUMWKFTV8+HCdOHFCc+bMuafj1K1bV7Vq1dLkyZNtY5UrV1br1q01ZsyYu362YcOGqlGjRroO7z9ZrVYVK1ZMX3/9tTp16nRPdbGG17H89ttvatSo0b/OW7t2LR1eAADyiMzkNbs6vAMGDFCXLl106NAhubu728abN2+u9evX39MxUlJSFB0draZNm6YZb9q0qTZt2mRPWRm6du2abt68eddt1JKTk5WUlJTmBccRGBgoHx+fO+6la7FY5Ovre8elMAAAIG+zK/Bu27ZNb731VrrxsmXLKiEh4Z6Ocf78eVmtVnl5eaUZ9/Lyuudj3IvBgwerbNmyaty48R3njBkzRp6enraXr69vln0/7p+Li4smTpyY4Xu3Q3BISAjbkAEAgAzZFXjd3d0z7IIeOHBAJUuWzNSx/tm1Mwwjy56K9dlnn2nhwoWKiIhI04n+pyFDhigxMdH2OnnyZJZ8P7JOmzZttGTJEnl6eqYZ9/Hx0ZIlS9SmTRuTKgMAAI7OrsDbqlUrjRw5Ujdv3pT0V2iNi4vT4MGD9fLLL9/TMUqUKCEXF5d03dyzZ8+m6/ra4/PPP9fo0aO1cuVKVatW7a5z3dzc5OHhkeYFx9OmTRvbP1+tW7fW2rVrdezYMcIuAAC4K7sC7+eff65z586pVKlSun79up555hk98sgjKlq0qEaNGnVPx3B1dVVAQIAiIyPTjEdGRqp+/fr2lGUzbtw4ffzxx/r11195CIGT2b9/vySpXbt2atiwIcsYAADAv7JrH14PDw9t2LBBa9asUUxMjFJTU1WrVq27rpPNyIABA9SxY0fVrl1b9erV07Rp0xQXF6eePXtK+mupwenTp9Ps+hAbGytJunLlis6dO6fY2Fi5urrKz89P0l/LGIYPH64FCxaofPnytg5ykSJFVKRIEXtOFw7CMAzt2bNHkmzXGwAA4N/YtS1ZVpo0aZI+++wzxcfHy9/fXxMmTNDTTz8tSerSpYuOHz+u3377zTY/o/W95cqV0/HjxyVJ5cuX14kTJ9LNGTFihD788MN7qoltyRzT6dOn5ePjIxcXF129elVubm5mlwQAAEySmbyWqcB7/fp1rV69Wi+++KKkvzqwycnJtvddXFz08ccf3/UGsdyAwOuYVq5cqWbNmqlSpUq2pQ0AACBvykxey9SShjlz5uinn36yBd6vv/5aVapUUcGCBSX9tb6yTJky6t+/v52lA3e2d+9eSVKVKlVMrgQAAOQmmbppbf78+QoKCkoztmDBAq1du1Zr167VuHHjtHjx4iwtELiN9bsAAMAemQq8Bw8e1GOPPWb72d3dXfny/d8hnnjiCVsXDshqtwMvHV4AAJAZmVrSkJiYqPz5/+8j586dS/N+ampqmjW9QFb5+w4NBF4AAJAZmerw+vj4aPfu3Xd8f+fOnfLx8bnvooB/OnPmjJKSkuTi4pLmtwwAAAD/JlOB94UXXtAHH3ygGzdupHvv+vXr+uijj9SiRYssKw647XZ395FHHmE7MgAAkCmZWtLw/vvva/HixapUqZL69Omjxx57TBaLRfv379fXX3+tW7du6f3338+uWpGHsZwBAADYK1OB18vLS5s2bVKvXr00ePBg3d7C12KxqEmTJpo0aZK8vLyypVDkbQReAABgr0w/WrhChQr69ddfdfHiRR0+fFjSX79mLl68eJYXB9zGHrwAAMBemQ68txUvXlxPPPFEVtYCZOjvOzSwBy8AAMisTN20Bpjh9OnT7NAAAADsRuCFw7vd3X300UfZoQEAAGQagRcOj/W7AADgfhB44fBYvwsAAO4HgRcOjy3JAADA/SDwwqEZhsGSBgAAcF8IvHBo7NAAAADuF4EXDu3vOzS4urqaXA0AAMiNCLxwaKzfBQAA94vAC4dG4AUAAPeLwAuHxg1rAADgfhF44bD+vkMDe/ACAAB7EXjhsE6dOqWkpCTlz5+fHRoAAIDdCLxwWOzQAAAAsgKBFw6L9bsAACArEHjhsG53eFm/CwAA7geBFw6LLckAAEBWIPDCIf19hwYCLwAAuB8EXjikU6dO6fLly8qfP78effRRs8sBAAC5GIEXDokdGgAAQFYh8MIhsX4XAABkFQIvHBKBFwAAZBUCLxwSN6wBAICsQuCFw/n7Dg3swQsAAO4XgRcO5+TJk+zQAAAAsgyBFw7n9vrdxx57jB0aAADAfSPwwuGwfhcAAGQlAi8czu0OL+t3AQBAViDwwuGwJRkAAMhKBF44lL/v0EDgBQAAWYHAC4dy8uRJXblyhR0aAABAliHwwqH8fYeGAgUKmFwNAABwBgReOBTW7wIAgKxG4IVDIfACAICsRuCFQ+GGNQAAkNUIvHAYf9+hgT14AQBAViHwwmHExcXpypUrKlCgADs0AACALEPghcNghwYAAJAdCLxwGKzfBQAA2YHAC4dxu8PL+l0AAJCVCLxwGGxJBgAAsgOBFw4hNTWVJQ0AACBbEHjhEE6ePKmrV6+qQIECeuSRR8wuBwAAOBECLxwCOzQAAIDsQuCFQ2D9LgAAyC4EXjgEAi8AAMguBF44BG5YAwAA2YXAC9P9fYcG9uAFAABZzfTAO2nSJFWoUEHu7u4KCAhQVFTUHefGx8frjTfeUKVKlZQvXz7169cvw3lLly6Vn5+f3Nzc5Ofnp++++y6bqkdWiIuLY4cGAACQbUwNvOHh4erXr5+GDh2q7du3KzAwUM2bN1dcXFyG85OTk1WyZEkNHTpU1atXz3DO5s2b1a5dO3Xs2FE7duxQx44d9eqrr2rLli3ZeSq4D7fX71aqVIkdGgAAQJazGIZhmPXldevWVa1atTR58mTbWOXKldW6dWuNGTPmrp9t2LChatSooZCQkDTj7dq1U1JSkn755Rfb2PPPP69ixYpp4cKF91RXUlKSPD09lZiYKA8Pj3s/Idhl3Lhxevfdd9WuXTstWrTI7HIAAEAukJm8ZlqHNyUlRdHR0WratGma8aZNm2rTpk12H3fz5s3pjtmsWbO7HjM5OVlJSUlpXsg5tzu8rN8FAADZwbTAe/78eVmtVnl5eaUZ9/LyUkJCgt3HTUhIyPQxx4wZI09PT9vL19fX7u9H5rElGQAAyE6m37RmsVjS/GwYRrqx7D7mkCFDlJiYaHudPHnyvr4f9+7vOzQQeAEAQHbIb9YXlyhRQi4uLuk6r2fPnk3Xoc2M0qVLZ/qYbm5ucnNzs/s7Yb+4uDhdu3ZNrq6u7NAAAACyhWkdXldXVwUEBCgyMjLNeGRkpOrXr2/3cevVq5fumCtXrryvYyL7/H2Hhvz5TfvzFwAAcGKmJowBAwaoY8eOql27turVq6dp06YpLi5OPXv2lPTXUoPTp09rzpw5ts/ExsZKkq5cuaJz584pNjZWrq6uthuegoOD9fTTT2vs2LFq1aqVfvjhB61atUobNmzI8fPDv+OGNQAAkN1MDbzt2rXThQsXNHLkSMXHx8vf31/Lly9XuXLlJP31oIl/7slbs2ZN219HR0drwYIFKleunI4fPy5Jql+/vhYtWqRhw4Zp+PDhevjhhxUeHq66devm2Hnh3nHDGgAAyG6m7sPrqNiHN+fUqVNHf/zxh5YuXao2bdqYXQ4AAMglcsU+vAA7NAAAgJxA4IVpTpw4Yduh4eGHHza7HAAA4KQIvDANOzQAAICcQOCFaVjOAAAAcgKBF6ZhhwYAAJATCLwwDXvwAgCAnEDghSlSU1O1b98+SXR4AQBA9iLwwhTs0AAAAHIKgRemuL2c4fHHH2eHBgAAkK0IvDAF63cBAEBOIfDCFOzQAAAAcgqBF6ZgD14AAJBTCLzIcezQAAAAchKBFznu+PHjth0aKlasaHY5AADAyRF4kePYoQEAAOQkAi9yHOt3AQBATiLwIsexQwMAAMhJBF7kOPbgBQAAOYnAixzFDg0AACCnEXiRo44fP67r16/Lzc1NDz/8sNnlAACAPIDAixz19x0aXFxcTK4GAADkBQRe5CjW7wIAgJxG4EWOYocGAACQ0wi8yFHswQsAAHIagRc5hh0aAACAGQi8yDHHjh2z7dBQsWJFs8sBAAB5BIEXOYYdGgAAgBkIvMgxrN8FAABmIPAix7BDAwAAMAOBFzmGPXgBAIAZCLzIEVarlR0aAACAKQi8yBHHjx/XjRs35O7uzg4NAAAgRxF4kSPYoQEAAJiFwIscwfpdAABgFgIvcgQ7NAAAALMQeJEj2IMXAACYhcCLbMcODQAAwEwEXmS7Y8eO2XZoqFChgtnlAACAPIbAi2zHDg0AAMBMBF5kO9bvAgAAMxF4ke3YoQEAAJiJwItsxx68AADATAReZCur1ar9+/dLosMLAADMQeBFtmKHBgAAYDYCL7LV7eUMlStXZocGAABgCgIvshXrdwEAgNkIvMhW7NAAAADMRuBFtmIPXgAAYDYCL7INOzQAAABHQOBFtjl69Khth4by5cubXQ4AAMijCLzINuzQAAAAHAGBF9mG9bsAAMAREHiRbdihAQAAOAICL7INe/ACAABHQOBFtmCHBgAA4CgIvMgWR48eVXJysgoWLKgKFSqYXQ4AAMjDCLzIFn/foSFfPv4xAwAA5iGJIFuwfhcAADgK0wPvpEmTVKFCBbm7uysgIEBRUVF3nb9u3ToFBATI3d1dFStW1JQpU9LNCQkJUaVKlVSwYEH5+vqqf//+unHjRnadAjLADg0AAMBRmBp4w8PD1a9fPw0dOlTbt29XYGCgmjdvrri4uAznHzt2TC+88IICAwO1fft2vf/+++rbt6+WLl1qmzN//nwNHjxYI0aM0L59+xQaGqrw8HANGTIkp04LYg9eAADgOCyGYRhmfXndunVVq1YtTZ482TZWuXJltW7dWmPGjEk3/7333tOyZcu0b98+21jPnj21Y8cObd68WZLUp08f7du3T6tXr7bNGThwoLZu3fqv3ePbkpKS5OnpqcTERHl4eNh7enmW1WpV4cKFlZycrCNHjqhixYpmlwQAAJxMZvKaaR3elJQURUdHq2nTpmnGmzZtqk2bNmX4mc2bN6eb36xZM/3xxx+6efOmJKlBgwaKjo7W1q1bJf21W8Dy5cvVokWLO9aSnJyspKSkNC/Y78iRI7YdGsqXL292OQAAII/Lb9YXnz9/XlarVV5eXmnGvby8lJCQkOFnEhISMpx/69YtnT9/Xt7e3nrttdd07tw5NWjQQIZh6NatW+rVq5cGDx58x1rGjBmjjz766P5PCpLYoQEAADgW09OIxWJJ87NhGOnG/m3+38d/++03jRo1SpMmTVJMTIwiIiL0008/6eOPP77jMYcMGaLExETb6+TJk/aeDsT6XQAA4FhM6/CWKFFCLi4u6bq5Z8+eTdfFva106dIZzs+fP78efPBBSdLw4cPVsWNHde/eXZJUtWpVXb16VW+++aaGDh2aYcfRzc1Nbm5uWXFaEDs0AAAAx2Jah9fV1VUBAQGKjIxMMx4ZGan69etn+Jl69eqlm79y5UrVrl1bBQoUkCRdu3YtXah1cXGRYRgy8f68PIU9eAEAgCMxdUnDgAEDNGPGDIWFhWnfvn3q37+/4uLi1LNnT0l/LTXo1KmTbX7Pnj114sQJDRgwQPv27VNYWJhCQ0M1aNAg25yWLVtq8uTJWrRokY4dO6bIyEgNHz5cL730klxcXHL8HPOaW7duaf/+/ZLo8AIAAMdg2pIGSWrXrp0uXLigkSNHKj4+Xv7+/lq+fLnKlSsnSYqPj0+zJ2+FChW0fPly9e/fX998843KlCmjL7/8Ui+//LJtzrBhw2SxWDRs2DCdPn1aJUuWVMuWLTVq1KgcP7+86OjRo0pJSVGhQoXYoQEAADgEU/fhdVTsw2u/7777Tm3atFFAQID++OMPs8sBAABOKlfswwvnxPpdAADgaAi8yFLs0AAAABwNgRdZij14AQCAoyHwIsuwQwMAAHBEBF5kmSNHjth2aLi90wYAAIDZCLzIMrfX71auXDnDJ9oBAACYgVSCLMP6XQAA4IgIvMgy7NAAAAAcEYEXWYY9eAEAgCMi8CJL3Lp1SwcOHJBEhxcAADgWAi/um9Vq1YIFC5SSkiI3Nzf5+PiYXRIAAIANgRf3JSIiQuXLl1fnzp0lScnJyapYsaIiIiJMrgwAAOAvBF7YLSIiQm3bttWpU6fSjJ8+fVpt27Yl9AIAAIdA4IVdrFargoODZRhGuvduj/Xr109WqzWnSwMAAEiDwAu7REVFpevs/p1hGDp58qSioqJysCoAAID0CLzIlCtXrigsLExvvvnmPc2Pj4/P5ooAAADuLr/ZBcDxGYah33//XaGhoQoPD9eVK1fu+bPe3t7ZWBkAAMC/I/Dijs6ePau5c+cqLCzM9thgSXr00UfVpUsXff3110pISMhwHa/FYpGPj48CAwNzsmQAAIB0CLxIw2q1asWKFQoNDdWyZct069YtSVLBggX1yiuvqFu3bgoMDJTFYtHjjz+utm3bymKxpAm9FotFkhQSEiIXFxdTzgMAAOA2Ai8kSUePHlVYWJhmzZql06dP28br1Kmjbt266bXXXpOnp2eaz7Rp00ZLlixRcHBwmhvYfHx8FBISojZt2uRY/QAAAHdiMTL6fXQel5SUJE9PTyUmJsrDw8PscuxitVoVFRWl+Ph4eXt7KzAwMF239fr164qIiFBoaKjWrl1rGy9evLg6duyobt26qWrVqlnyXQAAAFkpM3mNDq8TioiIyLDrOnHiRLVp00YxMTEKDQ3VggULdOnSJUl/LUNo0qSJunXrplatWsnNze2ev8/FxUUNGzbM4rMAAADIGgReJ3P76Wf/bNyfPn1aL7/8ssqXL6/jx4/bxsuVK6euXbuqS5cuKleuXA5XCwAAkP0IvE7kXp5+dvz4cRUoUEBt2rRRt27d9NxzzylfPrZjBgAAzovA60T+7elnt3377bdq1apVDlQEAABgPlp7TuRen2p27dq1bK4EAADAcRB4nci9PtWMp58BAIC8hMDrRAIDA+Xj42N78MM/WSwW+fr68vQzAACQpxB4nYiLi4smTpx4x0f9Sjz9DAAA5D0EXifTpk0bBQQEpBv38fHRkiVLePoZAADIc9ilwcmcOXNG27dvlyTNnj1bBQoU4OlnAAAgTyPwOpm5c+cqNTVVTz31lDp16mR2OQAAAKZjSYMTMQxDYWFhkqSuXbuaXA0AAIBjIPA6kU2bNungwYMqVKiQXn31VbPLAQAAcAgEXicyc+ZMSdKrr76qokWLmlwNAACAYyDwOokrV64oPDxckhQUFGRyNQAAAI6DwOsklixZoitXruiRRx5RgwYNzC4HAADAYRB4ncTtm9WCgoLu+KQ1AACAvIjA6wQOHjyoqKgo5cuXj63IAAAA/oHA6wRmzZolSWrWrJnKli1rbjEAAAAOhsCby1mtVs2ePVsSN6sBAABkhMCby61cuVJnzpzRgw8+qJYtW5pdDgAAgMMh8OZyt29W69Chg9zc3EyuBgAAwPEQeHOx8+fP64cffpDEo4QBAADuhMCbi82fP183b95UrVq1VL16dbPLAQAAcEgE3lzKMIw0e+8CAAAgYwTeXGr79u3auXOn3Nzc9Prrr5tdDgAAgMMi8OZSt7u7//nPf1S8eHGTqwEAAHBcBN5c6MaNG5o/f74kljMAAAD8GwJvLvT999/r0qVLeuihh/Tss8+aXQ4AAIBDI/DmQreXM3Tu3FkuLi4mVwMAAODYCLy5zIkTJ7Rq1SpJUpcuXcwtBgAAIBcg8OYys2fPlmEYatSokSpWrGh2OQAAAA6PwJuLpKamatasWZK4WQ0AAOBeEXhzkXXr1unYsWPy8PBQmzZtzC4HAAAgVyDw5iK3b1Z7/fXXVahQIZOrAQAAyB0IvLlEYmKilixZIknq2rWrydUAAADkHgTeXGLRokW6ceOG/Pz89MQTT5hdDgAAQK5heuCdNGmSKlSoIHd3dwUEBCgqKuqu89etW6eAgAC5u7urYsWKmjJlSro5ly5dUu/eveXt7S13d3dVrlxZy5cvz65TyBG3lzMEBQXJYrGYXA0AAEDuYWrgDQ8PV79+/TR06FBt375dgYGBat68ueLi4jKcf+zYMb3wwgsKDAzU9u3b9f7776tv375aunSpbU5KSoqaNGmi48ePa8mSJTpw4ICmT5+usmXL5tRpZbk9e/Zo69atyp8/vzp06GB2OQAAALlKfjO/fPz48erWrZu6d+8uSQoJCdGKFSs0efJkjRkzJt38KVOm6KGHHlJISIgkqXLlyvrjjz/0+eef6+WXX5b0Vyf04sWL2rRpkwoUKCBJKleuXM6cUDaZOXOmJOnFF1+Ul5eXydUAAADkLqZ1eFNSUhQdHa2mTZumGW/atKk2bdqU4Wc2b96cbn6zZs30xx9/6ObNm5KkZcuWqV69eurdu7e8vLzk7++v0aNHy2q13rGW5ORkJSUlpXk5ips3b2rOnDmS2HsXAADAHqYF3vPnz8tqtabrWHp5eSkhISHDzyQkJGQ4/9atWzp//rwk6ejRo1qyZImsVquWL1+uYcOG6YsvvtCoUaPuWMuYMWPk6elpe/n6+t7n2WWdn3/+WefOnZOXl5eaN29udjkAAAC5juk3rf3zBizDMO56U1ZG8/8+npqaqlKlSmnatGkKCAjQa6+9pqFDh2ry5Ml3POaQIUOUmJhoe508edLe08lyt29W69Spk/LnN3UFCgAAQK5kWoIqUaKEXFxc0nVzz549e8d1qqVLl85wfv78+fXggw9Kkry9vVWgQAG5uLjY5lSuXFkJCQlKSUmRq6truuO6ubnJzc3tfk8pyyUkJNh2l2DvXQAAAPuY1uF1dXVVQECAIiMj04xHRkaqfv36GX6mXr166eavXLlStWvXtt2g9tRTT+nw4cNKTU21zTl48KC8vb0zDLuObO7cubJarapXr54qV65sdjkAAAC5kqlLGgYMGKAZM2YoLCxM+/btU//+/RUXF6eePXtK+mupQadOnWzze/bsqRMnTmjAgAHat2+fwsLCFBoaqkGDBtnm9OrVSxcuXFBwcLAOHjyon3/+WaNHj1bv3r1z/Pzuh2EYafbeBQAAgH1MXRTarl07XbhwQSNHjlR8fLz8/f21fPly2zZi8fHxafbkrVChgpYvX67+/fvrm2++UZkyZfTll1/atiSTJF9fX61cuVL9+/dXtWrVVLZsWQUHB+u9997L8fO7H7///rv279+vQoUK6dVXXzW7HAAAgFzLYty+6ws2SUlJ8vT0VGJiojw8PEypoUePHpoxY4Y6deqk2bNnm1IDAACAo8pMXjN9lwakd/XqVS1atEgSyxkAAADuF4HXAS1ZskRXrlzRww8/rKefftrscgAAAHI1Aq8Dun2zWteuXe+6JzEAAAD+HYHXwRw+fFjr16+XxWJR586dzS4HAAAg1yPwOphZs2ZJkpo1ayYfHx9ziwEAAHACBF4HYrVabYGXJ6sBAABkDQKvA4mMjNTp06dVvHhxtWrVyuxyAAAAnAKB14Hcvlmtffv2cnNzM7kaAAAA52Dqk9bw1zKGqKgoHTx4UN99950k9t4FAADISgReE0VERCg4OFinTp2yjRUoUEBHjx5VjRo1zCsMAADAibCkwSQRERFq27ZtmrArSTdv3lTbtm0VERFhUmUAAADOhcBrAqvVquDgYBmGccc5/fr1k9VqzcGqAAAAnBOB1wRRUVHpOrt/ZxiGTp48qaioqBysCgAAwDkReE0QHx+fpfMAAABwZwReE3h7e2fpPAAAANwZgdcEgYGB8vHxkcViyfB9i8UiX19fBQYG5nBlAAAAzofAawIXFxdNnDhRktKF3ts/h4SEyMXFJcdrAwAAcDYEXpO0adNGS5YsUdmyZdOM+/j4aMmSJWrTpo1JlQEAADgXi3G3vbHyqKSkJHl6eioxMVEeHh7Z+l23n7QWHx8vb29vBQYG0tkFAAD4F5nJazxpzWQuLi5q2LCh2WUAAAA4LZY0AAAAwKkReAEAAODUCLwAAABwagReAAAAODUCLwAAAJwagRcAAABOjcALAAAAp0bgBQAAgFMj8AIAAMCpEXgBAADg1Ai8AAAAcGoEXgAAADg1Ai8AAACcGoEXAAAATo3ACwAAAKdG4AUAAIBTI/ACAADAqRF4AQAA4NQIvAAAAHBqBF4AAAA4tfxmF+CIDMOQJCUlJZlcCQAAADJyO6fdzm13Q+DNwOXLlyVJvr6+JlcCAACAu7l8+bI8PT3vOsdi3EsszmNSU1N15swZFS1aVBaLxexy8A9JSUny9fXVyZMn5eHhYXY5uAdcs9yF65X7cM1yF65X1jAMQ5cvX1aZMmWUL9/dV+nS4c1Avnz55OPjY3YZ+BceHh78hyKX4ZrlLlyv3Idrlrtwve7fv3V2b+OmNQAAADg1Ai8AAACcGoEXuY6bm5tGjBghNzc3s0vBPeKa5S5cr9yHa5a7cL1yHjetAQAAwKnR4QUAAIBTI/ACAADAqRF4AQAA4NQIvAAAAHBqBF6YYsyYMapTp46KFi2qUqVKqXXr1jpw4ECaOYZh6MMPP1SZMmVUsGBBNWzYUHv27EkzJzk5We+8845KlCihwoUL66WXXtKpU6fSzPnzzz/VsWNHeXp6ytPTUx07dtSlS5ey+xSd2pgxY2SxWNSvXz/bGNfLsZw+fVodOnTQgw8+qEKFCqlGjRqKjo62vc/1ciy3bt3SsGHDVKFCBRUsWFAVK1bUyJEjlZqaapvDNTPP+vXr1bJlS5UpU0YWi0Xff/99mvdz8trExcWpZcuWKly4sEqUKKG+ffsqJSUlO07buRiACZo1a2bMnDnT2L17txEbG2u0aNHCeOihh4wrV67Y5nz66adG0aJFjaVLlxq7du0y2rVrZ3h7extJSUm2OT179jTKli1rREZGGjExMUajRo2M6tWrG7du3bLNef755w1/f39j06ZNxqZNmwx/f3/jxRdfzNHzdSZbt241ypcvb1SrVs0IDg62jXO9HMfFixeNcuXKGV26dDG2bNliHDt2zFi1apVx+PBh2xyul2P55JNPjAcffND46aefjGPHjhnffvutUaRIESMkJMQ2h2tmnuXLlxtDhw41li5dakgyvvvuuzTv59S1uXXrluHv7280atTIiImJMSIjI40yZcoYffr0yfa/B7kdgRcO4ezZs4YkY926dYZhGEZqaqpRunRp49NPP7XNuXHjhuHp6WlMmTLFMAzDuHTpklGgQAFj0aJFtjmnT5828uXLZ/z666+GYRjG3r17DUnG77//bpuzefNmQ5Kxf//+nDg1p3L58mXj0UcfNSIjI41nnnnGFni5Xo7lvffeMxo0aHDH97lejqdFixZGUFBQmrE2bdoYHTp0MAyDa+ZI/hl4c/LaLF++3MiXL59x+vRp25yFCxcabm5uRmJiYracr7NgSQMcQmJioiSpePHikqRjx44pISFBTZs2tc1xc3PTM888o02bNkmSoqOjdfPmzTRzypQpI39/f9uczZs3y9PTU3Xr1rXNefLJJ+Xp6Wmbg3vXu3dvtWjRQo0bN04zzvVyLMuWLVPt2rX1yiuvqFSpUqpZs6amT59ue5/r5XgaNGig1atX6+DBg5KkHTt2aMOGDXrhhRckcc0cWU5em82bN8vf319lypSxzWnWrJmSk5PTLFlCevnNLgAwDEMDBgxQgwYN5O/vL0lKSEiQJHl5eaWZ6+XlpRMnTtjmuLq6qlixYunm3P58QkKCSpUqle47S5UqZZuDe7No0SLFxMRo27Zt6d7jejmWo0ePavLkyRowYIDef/99bd26VX379pWbm5s6derE9XJA7733nhITE/X444/LxcVFVqtVo0aN0uuvvy6Jf8ccWU5em4SEhHTfU6xYMbm6unL9/gWBF6br06ePdu7cqQ0bNqR7z2KxpPnZMIx0Y//0zzkZzb+X4+D/nDx5UsHBwVq5cqXc3d3vOI/r5RhSU1NVu3ZtjR49WpJUs2ZN7dmzR5MnT1anTp1s87hejiM8PFzz5s3TggULVKVKFcXGxqpfv34qU6aMOnfubJvHNXNcOXVtuH72YUkDTPXOO+9o2bJlWrt2rXx8fGzjpUuXlqR0f2I9e/as7U+3pUuXVkpKiv7888+7zvnf//6X7nvPnTuX7k/JuLPo6GidPXtWAQEByp8/v/Lnz69169bpyy+/VP78+W1/L7lejsHb21t+fn5pxipXrqy4uDhJ/PvliP773/9q8ODBeu2111S1alV17NhR/fv315gxYyRxzRxZTl6b0qVLp/ueP//8Uzdv3uT6/QsCL0xhGIb69OmjiIgIrVmzRhUqVEjzfoUKFVS6dGlFRkbaxlJSUrRu3TrVr19fkhQQEKACBQqkmRMfH6/du3fb5tSrV0+JiYnaunWrbc6WLVuUmJhom4N/99xzz2nXrl2KjY21vWrXrq327dsrNjZWFStW5Ho5kKeeeirdNn8HDx5UuXLlJPHvlyO6du2a8uVL+79kFxcX27ZkXDPHlZPXpl69etq9e7fi4+Ntc1auXCk3NzcFBARk63nmejl9lxxgGIbRq1cvw9PT0/jtt9+M+Ph42+vatWu2OZ9++qnh6elpREREGLt27TJef/31DLd58fHxMVatWmXExMQYzz77bIbbvFSrVs3YvHmzsXnzZqNq1apswZMF/r5Lg2FwvRzJ1q1bjfz58xujRo0yDh06ZMyfP98oVKiQMW/ePNscrpdj6dy5s1G2bFnbtmQRERFGiRIljHfffdc2h2tmnsuXLxvbt283tm/fbkgyxo8fb2zfvt04ceKEYRg5d21ub0v23HPPGTExMcaqVasMHx8ftiW7BwRemEJShq+ZM2fa5qSmphojRowwSpcubbi5uRlPP/20sWvXrjTHuX79utGnTx+jePHiRsGCBY0XX3zRiIuLSzPnwoULRvv27Y2iRYsaRYsWNdq3b2/8+eefOXCWzu2fgZfr5Vh+/PFHw9/f33BzczMef/xxY9q0aWne53o5lqSkJCM4ONh46KGHDHd3d6NixYrG0KFDjeTkZNscrpl51q5dm+H/szp37mwYRs5emxMnThgtWrQwChYsaBQvXtzo06ePcePGjew8fadgMQzDMKe3DAAAAGQ/1vACAADAqRF4AQAA4NQIvAAAAHBqBF4AAAA4NQIvAAAAnBqBFwAAAE6NwAsAAACnRuAFAACAUyPwAkAu8PTTT8tisejjjz9OM24YhurWrSuLxaIPPvggW75z4cKFacYnTZqkUqVKZel3AUB2IvACgIMzDEOxsbEqV66cdu3alea92bNn68yZM5KkWrVq3fU4DRs21KxZszL1nd7e3lq6dGma92JiYv71uwDAkRB4AcDBHTp0SJcvX1aXLl3SBN7Lly9ryJAh6tKliyQpICAgy79z2LBh+uWXX3Tt2jXbe9HR0Vn6XQCQ3Qi8AODgoqOj5e7urtdff12HDh1ScnKyJOnjjz9WjRo15O3trRIlSsjX1zfLv7N79+7y8PDQL7/8IklKTk7Wnj176PACyFUIvADg4GJiYlStWjU99thjKly4sPbt26dDhw5p0qRJmjBhgmJiYrK843r7O11dXfWf//xHS5YskSTt3LlTN2/epMMLIFch8AKAg7u9hMBisahatWravXu3+vfvrzfffFOPP/64oqOjM+y4jh49WkWKFLG9oqKi1LNnz3Rjd/rO28ds06aNfv75ZyUnJys6OlrFixdX+fLls/OUASBL5Te7AADA3W3fvl1vvPGGJKl69eqaOHGiTpw4ofnz5yslJUV79uzR0KFD032uZ8+eevXVV20/t2/fXi+//LLatGljGytbtuy/fmfDhg3l6uqqFStWKCYmRjVr1szK0wOAbEfgBQAHdvToUV26dMm2hKBGjRr65ptvNG3aNHl6eio6OvqOSwyKFy+u4sWL234uWLCgSpUqpUceeeSevvN2hzd//vxq2bKlli5dqt27d6tx48ZZeIYAkP1Y0gAADiw6Olqurq7y9/eXJHXu3Fnnzp1T9+7dJf211rZYsWKqUKFCtn2nJL388statmyZdu/ezQ1rAHIdOrwA4MBiYmLk7++vAgUKSJIKFCigEiVKpHk/q5cY3P5OV1dX21iTJk1ktVqVkpJC4AWQ61gMwzDMLgIAAADILixpAAAAgFMj8AIAAMCpEXgBAADg1Ai8AAAAcGoEXgAAADg1Ai8AAACcGoEXAAAATo3ACwAAAKdG4AUAAIBTI/ACAADAqRF4AQAA4NQIvAAAAHBq/w+c7G1Dmza/FQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(m_and_n, generation_time, 'ko-')\n", - "plt.xlabel(r\"$M+N$\")\n", - "plt.ylabel(\"Generation time (s)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "From the plot, we can see (sans artifacts for small $M+N$) that there is a roughly linear relationship as we predicted." - ] - } - ], - "metadata": { - "interpreter": { - "hash": "4b11832e3fb1d317fabfdf226ff96dd8761e1caa77b8bb75a64cd45c858a9356" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/advanced/Tutorial 9 - Contagion on Hypergraphs.ipynb b/tutorials/advanced/Tutorial 9 - Contagion on Hypergraphs.ipynb deleted file mode 100644 index 7dc86db2..00000000 --- a/tutorials/advanced/Tutorial 9 - Contagion on Hypergraphs.ipynb +++ /dev/null @@ -1,205182 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "2d0f3716", - "metadata": {}, - "source": [ - "## Modeling Contagion with Hypergraphs\n", - "This work is based on the paper [The effect of heterogeneity on hypergraph contagion models by Nicholas Landry](https://aip.scitation.org/doi/10.1063/5.0020034)\n", - "The SIS and SIR simulations will each take several minutes to run." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "6b7c2ac2", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import random\n", - "import time\n", - "\n", - "import hypernetx as hnx\n", - "import hypernetx.algorithms.contagion as contagion\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "b5be46e0", - "metadata": {}, - "outputs": [], - "source": [ - "n = 1000 \n", - "m = 10000 \n", - "\n", - "hyperedgeList = [random.sample(range(n), k=random.choice([2,3])) for i in range(m)]\n", - "H = hnx.Hypergraph(hyperedgeList, static=True)" - ] - }, - { - "cell_type": "markdown", - "id": "631bee3a", - "metadata": {}, - "source": [ - "## Initialize simulation variables\n", - "- $\\tau$ is a dictionary of the infection rate for each hyperedge size\n", - "- $\\gamma$ is the healing rate\n", - "- $t_{max}$ is the time at which to terminate the simulation if it hasn't already\n", - "- $\\Delta t$ is the time step size to use for the discrete time algorithm\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d74c7a8e", - "metadata": {}, - "outputs": [], - "source": [ - "tau = {2:0.01, 3:0.01}\n", - "gamma = 0.01\n", - "tmax = 100\n", - "dt = 1" - ] - }, - { - "cell_type": "markdown", - "id": "b3f19f88", - "metadata": {}, - "source": [ - "## Run the SIR epidemic simulations\n", - "- The discrete SIR takes fixed steps in time and multiple infection/healing events can happen at each time step.\n", - "- The Gillespie SIR algorithm takes steps in time exponentially distributed and at each step forward, a single event occurs\n", - "- As $\\Delta t\\to 0$, the discrete time algorithm converges to the Gillespie algorithm. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "4b5e18bd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.618687391281128\n", - "0.21742582321166992\n" - ] - } - ], - "source": [ - "start = time.time()\n", - "t1, S1, I1, R1 = contagion.discrete_SIR(H, tau, gamma, rho=0.1, tmin=0, tmax=tmax, dt=dt)\n", - "print(time.time() - start)\n", - "## ~512.8926649093628 sec\n", - "\n", - "start = time.time()\n", - "t2, S2, I2, R2 = contagion.Gillespie_SIR(H, tau, gamma, rho=0.1, tmin=0, tmax=tmax)\n", - "print(time.time() - start)\n", - "## ~161.48380184173584 sec" - ] - }, - { - "cell_type": "markdown", - "id": "909ffee4", - "metadata": {}, - "source": [ - "The Gillespie algorithm is much faster in many cases (and more accurate) than discrete-time algorithms because it doesn't consider events that don't happen. Instead, it calculates when the next event will occur and what event (infection, recovery, etc.) it will be." - ] - }, - { - "cell_type": "markdown", - "id": "cbc76561", - "metadata": {}, - "source": [ - "## Plot of the results\n", - "- Dashed lines are the results from the discrete time algorithm\n", - "- Solid lines are the results from the Gillespie algorithm\n", - "- Plots of the numbers susceptible, infected, and recovered over time\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "476ece59", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure()\n", - "plt.plot(t1, S1, 'g--', label='S (Discrete)')\n", - "plt.plot(t1, I1, 'r--', label='I (Discrete)')\n", - "plt.plot(t1, R1, 'b--', label='R (Discrete)')\n", - "plt.plot(t2, S2, 'g-', label='S (Gillespie)')\n", - "plt.plot(t2, I2, 'r-', label='I (Gillespie)')\n", - "plt.plot(t2, R2, 'b-', label='R (Gillespie)')\n", - "plt.xlabel(\"Time\", fontsize=14)\n", - "plt.ylabel(\"Number of people\", fontsize=14)\n", - "plt.legend(fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "5cfe7e23", - "metadata": {}, - "source": [ - "## SIS Model\n", - "In this model, once individuals heal, they may become re-infected." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "792d13a4", - "metadata": {}, - "outputs": [], - "source": [ - "tau = {2:0.01, 3:0.01}\n", - "gamma = 0.01\n", - "tmax = 100\n", - "dt = 1" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "67999c75", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.0778007507324219\n", - "0.37310004234313965\n" - ] - } - ], - "source": [ - "tau = {2:0.01, 3:0.01}\n", - "gamma = 0.01\n", - "start = time.time()\n", - "t1, S1, I1 = contagion.discrete_SIS(H, tau, gamma, rho = 0.1, tmin = 0, tmax=tmax, dt=dt)\n", - "print(time.time() - start)\n", - "# ~680.240907907486 sec\n", - "\n", - "start = time.time()\n", - "t2, S2, I2 = contagion.Gillespie_SIS(H, tau, gamma, rho = 0.1, tmin = 0, tmax=tmax)\n", - "print(time.time() - start)\n", - "\n", - "\n", - "# ~236.78710913658142 sec" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "b1528139", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure()\n", - "plt.plot(t1, S1, 'g--', label='S (Discrete)')\n", - "plt.plot(t1, I1, 'r--', label='I (Discrete)')\n", - "plt.plot(t2, S2, 'g-', label='S (Gillespie)')\n", - "plt.plot(t2, I2, 'r-', label='I (Gillespie)')\n", - "plt.xlabel(\"Time\", fontsize=14)\n", - "plt.ylabel(\"Number of people\", fontsize=14)\n", - "plt.legend(fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "b59bac25", - "metadata": {}, - "source": [ - "## Animation of SIR model" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "4efd9d76", - "metadata": {}, - "outputs": [], - "source": [ - "import hypernetx as hnx\n", - "import matplotlib.pyplot as plt\n", - "import random\n", - "import time\n", - "import hypernetx.algorithms.contagion as contagion\n", - "import numpy as np\n", - "from IPython.display import HTML" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "24962b8c", - "metadata": {}, - "outputs": [], - "source": [ - "n = 100\n", - "m = 40\n", - "\n", - "hyperedgeList = [random.sample(range(n), k=random.choice([2,3])) for i in range(m)]\n", - "H = hnx.Hypergraph(hyperedgeList, static=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "3a83ee04", - "metadata": {}, - "outputs": [], - "source": [ - "tau = {2:2, 3:1}\n", - "gamma = 0.1" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "a7df1503", - "metadata": {}, - "outputs": [], - "source": [ - "transition_events = contagion.discrete_SIR(H, tau, gamma, \n", - " rho=0.2, tmin=0, \n", - " tmax=50, dt=1, return_full_data=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "12938dae", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "At time 1, 0 was infected by 4\n", - "At time 1, 6 recovered\n", - "At time 1, 10 was infected by 9\n", - "At time 1, 24 was infected by 3\n", - "At time 1, 25 was infected by 9\n", - "At time 1, 29 was infected by 39\n", - "At time 1, 51 was infected by 37\n", - "At time 1, 60 was infected by 39\n", - "At time 1, 68 was infected by 5\n", - "At time 1, 69 was infected by 0\n", - "At time 1, 70 was infected by 24\n", - "At time 1, 74 was infected by 27\n", - "At time 1, 81 was infected by 29\n", - "At time 1, 82 was infected by 11\n", - "At time 1, 86 was infected by 37\n", - "At time 1, 89 was infected by 15\n", - "At time 1, 91 was infected by 38\n", - "At time 1, 95 was infected by 0\n", - "At time 1, 96 was infected by 33\n", - "At time 1, 99 was infected by 15\n", - "At time 2, 0 recovered\n", - "At time 2, 1 was infected by 19\n", - "At time 2, 5 was infected by 2\n", - "At time 2, 7 was infected by 34\n", - "At time 2, 11 recovered\n", - "At time 2, 13 was infected by 18\n", - "At time 2, 14 recovered\n", - "At time 2, 42 was infected by 16\n", - "At time 2, 44 was infected by 31\n", - "At time 2, 54 was infected by 32\n", - "At time 2, 55 was infected by 28\n", - "At time 2, 64 recovered\n", - "At time 2, 71 was infected by 7\n", - "At time 2, 75 was infected by 7\n", - "At time 2, 77 was infected by 18\n", - "At time 2, 82 recovered\n", - "At time 2, 84 was infected by 34\n", - "At time 2, 87 recovered\n", - "At time 2, 91 recovered\n", - "At time 2, 98 was infected by 14\n", - "At time 3, 2 was infected by 35\n", - "At time 3, 7 recovered\n", - "At time 3, 21 was infected by 1\n", - "At time 3, 37 was infected by 1\n", - "At time 3, 38 was infected by 20\n", - "At time 3, 39 was infected by 8\n", - "At time 3, 51 recovered\n", - "At time 3, 56 was infected by 35\n", - "At time 3, 57 was infected by 12\n", - "At time 3, 63 was infected by 17\n", - "At time 3, 74 recovered\n", - "At time 3, 79 was infected by 6\n", - "At time 4, 2 recovered\n", - "At time 4, 5 recovered\n", - "At time 4, 31 was infected by 22\n", - "At time 4, 69 recovered\n", - "At time 4, 96 recovered\n", - "At time 5, 39 recovered\n", - "At time 5, 70 recovered\n", - "At time 6, 4 recovered\n", - "At time 6, 30 recovered\n", - "At time 6, 48 recovered\n", - "At time 6, 68 recovered\n", - "At time 6, 79 recovered\n", - "At time 6, 99 recovered\n", - "At time 7, 81 recovered\n", - "At time 9, 1 recovered\n", - "At time 9, 44 recovered\n", - "At time 9, 60 recovered\n", - "At time 9, 63 recovered\n", - "At time 9, 71 recovered\n", - "At time 9, 77 recovered\n", - "At time 10, 3 recovered\n", - "At time 10, 26 recovered\n", - "At time 10, 29 recovered\n", - "At time 10, 95 recovered\n", - "At time 11, 21 recovered\n", - "At time 11, 38 recovered\n", - "At time 11, 75 recovered\n", - "At time 11, 89 recovered\n", - "At time 12, 13 recovered\n", - "At time 12, 86 recovered\n", - "At time 13, 42 recovered\n", - "At time 14, 46 recovered\n", - "At time 14, 57 recovered\n", - "At time 15, 15 recovered\n", - "At time 16, 10 recovered\n", - "At time 16, 56 recovered\n", - "At time 17, 31 recovered\n", - "At time 21, 37 recovered\n", - "At time 22, 24 recovered\n", - "At time 23, 98 recovered\n", - "At time 25, 84 recovered\n", - "At time 27, 55 recovered\n", - "At time 32, 93 recovered\n", - "At time 38, 54 recovered\n", - "At time 39, 25 recovered\n" - ] - } - ], - "source": [ - "for time, events in transition_events.items():\n", - " if events != []:\n", - " for event in events:\n", - " if event[0] == 'R':\n", - " print(f\"At time {time}, {event[1]} recovered\")\n", - " elif event[0] == 'I' and event[2] is not None:\n", - " print(f\"At time {time}, {event[1]} was infected by {event[2]}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "950570a6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - 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"At time 1, 56 was infected by 35\n", - "At time 1, 60 was infected by 19\n", - "At time 1, 64 was infected by 36\n", - "At time 1, 68 was infected by 18\n", - "At time 1, 69 was infected by 0\n", - "At time 1, 71 was infected by 7\n", - "At time 1, 77 was infected by 18\n", - "At time 1, 82 was infected by 11\n", - "At time 1, 84 was infected by 34\n", - "At time 1, 86 was infected by 7\n", - "At time 1, 93 was infected by 11\n", - "At time 1, 95 was infected by 0\n", - "At time 1, 96 was infected by 33\n", - "At time 2, 10 was infected by 9\n", - "At time 2, 14 was infected by 37\n", - "At time 2, 15 was infected by 13\n", - "At time 2, 21 was infected by 1\n", - "At time 2, 25 was infected by 9\n", - "At time 2, 30 recovered\n", - "At time 2, 37 was infected by 1\n", - "At time 2, 38 recovered\n", - "At time 2, 39 was infected by 8\n", - "At time 2, 44 was infected by 31\n", - "At time 2, 51 was infected by 37\n", - "At time 2, 57 was infected by 12\n", - "At time 2, 79 was infected by 6\n", - "At time 2, 81 was infected by 29\n", - "At time 2, 87 was infected by 5\n", - "At time 2, 89 was infected by 2\n", - "At time 2, 99 was infected by 15\n", - "At time 3, 1 recovered\n", - "At time 3, 2 recovered\n", - "At time 3, 4 was infected by 38\n", - "At time 3, 5 recovered\n", - "At time 3, 7 recovered\n", - "At time 3, 13 recovered\n", - "At time 3, 14 recovered\n", - "At time 3, 15 recovered\n", - "At time 3, 29 recovered\n", - "At time 3, 30 was infected by 36\n", - "At time 3, 31 was infected by 22\n", - "At time 3, 38 was infected by 20\n", - "At time 3, 54 was infected by 32\n", - "At time 3, 55 was infected by 21\n", - "At time 3, 69 recovered\n", - "At time 3, 75 recovered\n", - "At time 3, 91 was infected by 25\n", - "At time 3, 98 was infected by 14\n", - "At time 4, 0 recovered\n", - "At time 4, 1 was infected by 19\n", - "At time 4, 2 was infected by 35\n", - "At time 4, 5 was infected by 2\n", - "At time 4, 7 was infected by 1\n", - "At time 4, 11 recovered\n", - "At time 4, 13 was infected by 18\n", - "At time 4, 14 was infected by 37\n", - "At time 4, 15 was infected by 13\n", - "At time 4, 29 was infected by 16\n", - "At time 4, 39 recovered\n", - "At time 4, 62 recovered\n", - "At time 4, 69 was infected by 0\n", - "At time 4, 75 was infected by 7\n", - "At time 4, 77 recovered\n", - "At time 4, 79 recovered\n", - "At time 4, 99 recovered\n", - "At time 5, 25 recovered\n", - "At time 5, 29 recovered\n", - "At time 5, 31 recovered\n", - "At time 5, 37 recovered\n", - "At time 5, 39 was infected by 8\n", - "At time 5, 51 recovered\n", - "At time 5, 52 recovered\n", - "At time 5, 60 recovered\n", - "At time 5, 62 was infected by 23\n", - "At time 5, 71 recovered\n", - "At time 5, 77 was infected by 18\n", - "At time 5, 79 was infected by 6\n", - "At time 5, 99 was infected by 15\n", - "At time 6, 15 recovered\n", - "At time 6, 25 was infected by 9\n", - "At time 6, 29 was infected by 16\n", - "At time 6, 31 was infected by 22\n", - "At time 6, 37 was infected by 1\n", - "At time 6, 51 was infected by 37\n", - "At time 6, 52 was infected by 23\n", - "At time 6, 55 recovered\n", - "At time 6, 60 was infected by 19\n", - "At time 6, 63 recovered\n", - "At time 6, 64 recovered\n", - "At time 6, 71 was infected by 6\n", - "At time 6, 99 recovered\n", - "At time 7, 15 was infected by 13\n", - "At time 7, 48 recovered\n", - "At time 7, 55 was infected by 21\n", - "At time 7, 63 was infected by 17\n", - "At time 7, 64 was infected by 36\n", - "At time 7, 87 recovered\n", - "At time 7, 99 was infected by 15\n", - "At time 8, 1 recovered\n", - "At time 8, 44 recovered\n", - "At time 8, 48 was infected by 3\n", - "At time 8, 63 recovered\n", - "At time 8, 87 was infected by 5\n", - "At time 9, 1 was infected by 19\n", - "At time 9, 44 was infected by 31\n", - "At time 9, 60 recovered\n", - "At time 9, 63 was infected by 17\n", - "At time 9, 68 recovered\n", - "At time 9, 71 recovered\n", - "At time 9, 77 recovered\n", - "At time 10, 25 recovered\n", - "At time 10, 42 recovered\n", - "At time 10, 55 recovered\n", - "At time 10, 60 was infected by 19\n", - "At time 10, 68 was infected by 5\n", - "At time 10, 71 was infected by 6\n", - "At time 10, 77 was infected by 18\n", - "At time 10, 98 recovered\n", - "At time 11, 6 recovered\n", - "At time 11, 24 recovered\n", - "At time 11, 25 was infected by 9\n", - "At time 11, 38 recovered\n", - "At time 11, 42 was infected by 16\n", - "At time 11, 55 was infected by 21\n", - "At time 11, 77 recovered\n", - "At time 11, 82 recovered\n", - "At time 11, 96 recovered\n", - "At time 11, 98 was infected by 14\n", - "At time 12, 3 recovered\n", - "At time 12, 6 was infected by 11\n", - "At time 12, 24 was infected by 3\n", - "At time 12, 38 was infected by 20\n", - "At time 12, 77 was infected by 18\n", - "At time 12, 82 was infected by 11\n", - "At time 12, 84 recovered\n", - "At time 12, 87 recovered\n", - "At time 12, 96 was infected by 33\n", - "At time 13, 3 was infected by 0\n", - "At time 13, 13 recovered\n", - "At time 13, 37 recovered\n", - "At time 13, 84 was infected by 8\n", - "At time 13, 87 was infected by 5\n", - "At time 13, 98 recovered\n", - "At time 14, 6 recovered\n", - "At time 14, 13 was infected by 18\n", - "At time 14, 29 recovered\n", - "At time 14, 37 was infected by 1\n", - "At time 14, 48 recovered\n", - "At time 14, 51 recovered\n", - "At time 14, 52 recovered\n", - "At time 14, 68 recovered\n", - "At time 14, 98 was infected by 14\n", - "At time 15, 6 was infected by 11\n", - "At time 15, 29 was infected by 16\n", - "At time 15, 48 was infected by 3\n", - "At time 15, 51 was infected by 37\n", - "At time 15, 52 was infected by 23\n", - "At time 15, 60 recovered\n", - "At time 15, 68 was infected by 5\n", - "At time 15, 69 recovered\n", - "At time 15, 77 recovered\n", - "At time 16, 2 recovered\n", - "At time 16, 44 recovered\n", - "At time 16, 48 recovered\n", - "At time 16, 51 recovered\n", - "At time 16, 57 recovered\n", - "At time 16, 60 was infected by 19\n", - "At time 16, 69 was infected by 0\n", - "At time 16, 75 recovered\n", - "At time 16, 77 was infected by 18\n", - "At time 17, 2 was infected by 35\n", - "At time 17, 15 recovered\n", - "At time 17, 24 recovered\n", - "At time 17, 44 was infected by 31\n", - "At time 17, 48 was infected by 3\n", - "At time 17, 51 was infected by 37\n", - "At time 17, 57 was infected by 12\n", - "At time 17, 75 was infected by 7\n", - "At time 17, 91 recovered\n", - "At time 17, 98 recovered\n", - "At time 18, 15 was infected by 13\n", - "At time 18, 24 was infected by 3\n", - "At time 18, 54 recovered\n", - "At time 18, 91 was infected by 25\n", - "At time 18, 98 was infected by 14\n", - "At time 19, 54 was infected by 32\n", - "At time 19, 56 recovered\n", - "At time 19, 69 recovered\n", - "At time 19, 81 recovered\n", - "At time 19, 93 recovered\n", - "At time 20, 52 recovered\n", - "At time 20, 55 recovered\n", - "At time 20, 56 was infected by 35\n", - "At time 20, 68 recovered\n", - "At time 20, 69 was infected by 0\n", - "At time 20, 81 was infected by 31\n", - "At time 20, 93 was infected by 11\n", - "At time 21, 24 recovered\n", - "At time 21, 48 recovered\n", - "At time 21, 52 was infected by 23\n", - "At time 21, 55 was infected by 21\n", - "At time 21, 57 recovered\n", - "At time 21, 68 was infected by 5\n", - "At time 21, 95 recovered\n", - "At time 22, 24 was infected by 34\n", - "At time 22, 44 recovered\n", - "At time 22, 48 was infected by 9\n", - "At time 22, 57 was infected by 12\n", - "At time 22, 60 recovered\n", - "At time 22, 79 recovered\n", - "At time 22, 95 was infected by 0\n", - "At time 23, 1 recovered\n", - "At time 23, 14 recovered\n", - "At time 23, 44 was infected by 31\n", - "At time 23, 55 recovered\n", - "At time 23, 57 recovered\n", - "At time 23, 60 was infected by 19\n", - "At time 23, 79 was infected by 6\n", - "At time 23, 82 recovered\n", - "At time 24, 1 was infected by 19\n", - "At time 24, 14 was infected by 37\n", - "At time 24, 21 recovered\n", - "At time 24, 55 was infected by 28\n", - "At time 24, 57 was infected by 12\n", - "At time 24, 82 was infected by 11\n", - "At time 25, 5 recovered\n", - "At time 25, 21 was infected by 1\n", - "At time 25, 39 recovered\n", - "At time 25, 42 recovered\n", - "At time 25, 64 recovered\n", - "At time 25, 79 recovered\n", - "At time 25, 93 recovered\n", - "At time 26, 5 was infected by 2\n", - "At time 26, 39 was infected by 8\n", - "At time 26, 42 was infected by 16\n", - "At time 26, 64 was infected by 36\n", - "At time 26, 79 was infected by 6\n", - "At time 26, 93 was infected by 11\n", - "At time 27, 13 recovered\n", - "At time 27, 54 recovered\n", - "At time 27, 60 recovered\n", - "At time 27, 64 recovered\n", - "At time 27, 79 recovered\n", - "At time 27, 95 recovered\n", - "At time 28, 1 recovered\n", - "At time 28, 13 was infected by 18\n", - "At time 28, 29 recovered\n", - "At time 28, 44 recovered\n", - "At time 28, 48 recovered\n", - "At time 28, 51 recovered\n", - "At time 28, 52 recovered\n", - "At time 28, 54 was infected by 32\n", - "At time 28, 60 was infected by 19\n", - "At time 28, 64 was infected by 36\n", - "At time 28, 79 was infected by 6\n", - "At time 28, 95 was infected by 0\n", - "At time 29, 1 was infected by 19\n", - "At time 29, 29 was infected by 16\n", - "At time 29, 44 was infected by 31\n", - "At time 29, 48 was infected by 3\n", - "At time 29, 51 was infected by 37\n", - "At time 29, 52 was infected by 23\n", - "At time 30, 4 recovered\n", - "At time 30, 57 recovered\n", - "At time 30, 64 recovered\n", - "At time 30, 75 recovered\n", - "At time 30, 77 recovered\n", - "At time 30, 81 recovered\n", - "At time 30, 84 recovered\n", - "At time 30, 86 recovered\n", - "At time 31, 4 was infected by 38\n", - "At time 31, 57 was infected by 12\n", - "At time 31, 64 was infected by 36\n", - "At time 31, 71 recovered\n", - "At time 31, 75 was infected by 7\n", - "At time 31, 77 was infected by 18\n", - "At time 31, 81 was infected by 29\n", - "At time 31, 84 was infected by 8\n", - "At time 31, 86 was infected by 7\n", - "At time 31, 87 recovered\n", - "At time 32, 1 recovered\n", - "At time 32, 3 recovered\n", - "At time 32, 10 recovered\n", - "At time 32, 13 recovered\n", - "At time 32, 29 recovered\n", - "At time 32, 30 recovered\n", - "At time 32, 48 recovered\n", - "At time 32, 63 recovered\n", - "At time 32, 71 was infected by 6\n", - "At time 32, 87 was infected by 5\n", - "At time 32, 96 recovered\n", - "At time 33, 1 was infected by 19\n", - "At time 33, 3 was infected by 0\n", - "At time 33, 4 recovered\n", - "At time 33, 10 was infected by 9\n", - "At time 33, 13 was infected by 18\n", - "At time 33, 29 was infected by 16\n", - "At time 33, 30 was infected by 36\n", - "At time 33, 42 recovered\n", - "At time 33, 48 was infected by 3\n", - "At time 33, 60 recovered\n", - "At time 33, 63 was infected by 17\n", - "At time 33, 87 recovered\n", - "At time 34, 4 was infected by 38\n", - "At time 34, 5 recovered\n", - "At time 34, 13 recovered\n", - "At time 34, 30 recovered\n", - "At time 34, 42 was infected by 16\n", - "At time 34, 60 was infected by 19\n", - "At time 34, 87 was infected by 5\n", - "At time 34, 96 was infected by 33\n", - "At time 35, 1 recovered\n", - "At time 35, 5 was infected by 2\n", - "At time 35, 13 was infected by 18\n", - "At time 35, 30 was infected by 36\n", - "At time 35, 52 recovered\n", - "At time 36, 1 was infected by 19\n", - "At time 36, 5 recovered\n", - "At time 36, 52 was infected by 23\n", - "At time 36, 68 recovered\n", - "At time 36, 69 recovered\n", - "At time 36, 75 recovered\n", - "At time 36, 79 recovered\n", - "At time 36, 82 recovered\n", - "At time 37, 5 was infected by 2\n", - "At time 37, 31 recovered\n", - "At time 37, 48 recovered\n", - "At time 37, 64 recovered\n", - "At time 37, 68 was infected by 5\n", - "At time 37, 69 was infected by 0\n", - "At time 37, 75 was infected by 7\n", - "At time 37, 79 was infected by 6\n", - "At time 37, 82 was infected by 11\n", - "At time 37, 91 recovered\n", - "At time 37, 99 recovered\n", - "At time 38, 31 was infected by 22\n", - "At time 38, 42 recovered\n", - "At time 38, 48 was infected by 3\n", - "At time 38, 60 recovered\n", - "At time 38, 64 was infected by 36\n", - "At time 38, 82 recovered\n", - "At time 38, 91 was infected by 38\n", - "At time 38, 98 recovered\n", - "At time 38, 99 was infected by 15\n", - "At time 39, 31 recovered\n", - "At time 39, 42 was infected by 16\n", - "At time 39, 44 recovered\n", - "At time 39, 52 recovered\n", - "At time 39, 54 recovered\n", - "At time 39, 60 was infected by 19\n", - "At time 39, 68 recovered\n", - "At time 39, 82 was infected by 11\n", - "At time 39, 98 was infected by 14\n", - "At time 40, 21 recovered\n", - "At time 40, 29 recovered\n", - "At time 40, 31 was infected by 22\n", - "At time 40, 44 was infected by 31\n", - "At time 40, 52 was infected by 23\n", - "At time 40, 54 was infected by 32\n", - "At time 40, 68 was infected by 5\n", - "At time 40, 91 recovered\n", - "At time 41, 15 recovered\n", - "At time 41, 21 was infected by 1\n", - "At time 41, 24 recovered\n", - "At time 41, 29 was infected by 16\n", - "At time 41, 71 recovered\n", - "At time 41, 75 recovered\n", - "At time 41, 77 recovered\n", - "At time 41, 86 recovered\n", - "At time 41, 87 recovered\n", - "At time 41, 91 was infected by 25\n", - "At time 41, 95 recovered\n", - "At time 42, 13 recovered\n", - "At time 42, 14 recovered\n", - "At time 42, 15 was infected by 13\n", - "At time 42, 24 was infected by 3\n", - "At time 42, 25 recovered\n", - "At time 42, 30 recovered\n", - "At time 42, 51 recovered\n", - "At time 42, 63 recovered\n", - "At time 42, 71 was infected by 6\n", - "At time 42, 75 was infected by 20\n", - "At time 42, 77 was infected by 18\n", - "At time 42, 81 recovered\n", - "At time 42, 86 was infected by 37\n", - "At time 42, 87 was infected by 5\n", - "At time 42, 95 was infected by 0\n", - "At time 43, 5 recovered\n", - "At time 43, 13 was infected by 18\n", - "At time 43, 14 was infected by 37\n", - "At time 43, 25 was infected by 9\n", - "At time 43, 30 was infected by 36\n", - "At time 43, 51 was infected by 37\n", - "At time 43, 63 was infected by 17\n", - "At time 43, 81 was infected by 29\n", - "At time 43, 96 recovered\n", - "At time 44, 3 recovered\n", - "At time 44, 5 was infected by 2\n", - "At time 44, 75 recovered\n", - "At time 44, 96 was infected by 33\n", - "At time 45, 3 was infected by 0\n", - "At time 45, 4 recovered\n", - "At time 45, 51 recovered\n", - "At time 45, 69 recovered\n", - "At time 45, 75 was infected by 7\n", - "At time 45, 81 recovered\n", - "At time 45, 86 recovered\n", - "At time 45, 89 recovered\n", - "At time 45, 96 recovered\n", - "At time 46, 4 was infected by 38\n", - "At time 46, 51 was infected by 37\n", - "At time 46, 69 was infected by 0\n", - "At time 46, 71 recovered\n", - "At time 46, 81 was infected by 29\n", - "At time 46, 86 was infected by 7\n", - "At time 46, 89 was infected by 2\n", - "At time 46, 91 recovered\n", - "At time 46, 96 was infected by 33\n", - "At time 47, 30 recovered\n", - "At time 47, 37 recovered\n", - "At time 47, 48 recovered\n", - "At time 47, 64 recovered\n", - "At time 47, 71 was infected by 6\n", - "At time 47, 79 recovered\n", - "At time 47, 91 was infected by 25\n", - "At time 47, 95 recovered\n", - "At time 47, 98 recovered\n", - "At time 48, 37 was infected by 1\n", - "At time 48, 48 was infected by 3\n", - "At time 48, 60 recovered\n", - "At time 48, 62 recovered\n", - "At time 48, 79 was infected by 6\n", - "At time 48, 95 was infected by 0\n", - "At time 48, 98 was infected by 14\n", - "At time 49, 39 recovered\n", - "At time 49, 51 recovered\n", - "At time 49, 60 was infected by 19\n", - "At time 49, 62 was infected by 23\n", - "At time 49, 89 recovered\n", - "At time 49, 91 recovered\n", - "At time 49, 93 recovered\n", - "At time 49, 96 recovered\n", - "At time 50, 39 was infected by 8\n", - "At time 50, 51 was infected by 37\n", - "At time 50, 89 was infected by 2\n", - "At time 50, 91 was infected by 25\n", - "At time 50, 93 was infected by 11\n", - "At time 50, 96 was infected by 33\n" - ] - } - ], - "source": [ - "for time, events in transition_events2.items():\n", - " if events != []:\n", - " for event in events:\n", - " if event[0] == 'S':\n", - " print(f\"At time {time}, {event[1]} recovered\")\n", - " elif event[0] == 'I' and event[2] is not None:\n", - " print(f\"At time {time}, {event[1]} was infected by {event[2]}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "82bc96f9", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - 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For example, the scenes data gives character scene incidence information from the novel Les Misérables by Victor Hugo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### List of Lists" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:08.078278Z", + "start_time": "2024-05-16T22:40:07.953216Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "list_of_lists = [['book','candle','cat'],['book','coffee cup'],['coffee cup','radio']]\n", + "\n", + "H = hnx.Hypergraph(list_of_lists)\n", + "\n", + "plt.subplots(figsize=(4,4))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Dictionary" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:08.210057Z", + "start_time": "2024-05-16T22:40:08.096618Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.118175Z", + "iopub.status.busy": "2024-04-18T16:29:53.117998Z", + "iopub.status.idle": "2024-04-18T16:29:53.131987Z", + "shell.execute_reply": "2024-04-18T16:29:53.131644Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.118166Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scenes_dictionary = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP'),\n", + " 8: ('FN', 'TH')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes_dictionary)\n", + "\n", + "## HNX has a built in draw function - more information may be found in tutorial Basic 2\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Nested Dictionary (adding metadata to incidences)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:08.986522Z", + "start_time": "2024-05-16T22:40:08.946861Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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edgesnodesweightmisc_properties
00FN7{'time': 'early'}
10TH1{'time': 'late'}
21TH1{'subject': 'war'}
31JV1{'observed_by': 'someone'}
42BM1{}
52FN1{}
62JA1{'role': 'policeman'}
73JV1{'was_carrying': 'stick'}
83JU1{}
93CH1{}
103BM1{'state': 'intoxicated', 'color': 'pinkish'}
114JU15{}
124CH1{}
134BR1{'state': 'worried'}
144CN1{}
154CC1{}
164JV1{}
174BM1{}
185TH1{}
195GP1{}
206GP1{}
216MP1{}
227MA1{}
237GP15{'accompanied_by': 'dog', 'was_singing': 'Frèr...
\n", + "
" + ], + "text/plain": [ + " edges nodes weight misc_properties\n", + "0 0 FN 7 {'time': 'early'}\n", + "1 0 TH 1 {'time': 'late'}\n", + "2 1 TH 1 {'subject': 'war'}\n", + "3 1 JV 1 {'observed_by': 'someone'}\n", + "4 2 BM 1 {}\n", + "5 2 FN 1 {}\n", + "6 2 JA 1 {'role': 'policeman'}\n", + "7 3 JV 1 {'was_carrying': 'stick'}\n", + "8 3 JU 1 {}\n", + "9 3 CH 1 {}\n", + "10 3 BM 1 {'state': 'intoxicated', 'color': 'pinkish'}\n", + "11 4 JU 15 {}\n", + "12 4 CH 1 {}\n", + "13 4 BR 1 {'state': 'worried'}\n", + "14 4 CN 1 {}\n", + "15 4 CC 1 {}\n", + "16 4 JV 1 {}\n", + "17 4 BM 1 {}\n", + "18 5 TH 1 {}\n", + "19 5 GP 1 {}\n", + "20 6 GP 1 {}\n", + "21 6 MP 1 {}\n", + "22 7 MA 1 {}\n", + "23 7 GP 15 {'accompanied_by': 'dog', 'was_singing': 'Frèr..." + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## nested dictionaries allow you to associate data with the relationships\n", + "\n", + "nested_dictionary = {\n", + " 0: {'FN':{'time':'early', 'weight': 7}, 'TH':{'time':'late'}},\n", + " 1: {'TH':{'subject':'war'}, 'JV':{'observed_by':'someone'}},\n", + " 2: {'BM':{}, 'FN':{}, 'JA':{'role':'policeman'}},\n", + " 3: {'JV':{'was_carrying':'stick'}, 'JU':{}, 'CH':{}, 'BM':{'state':'intoxicated', 'color':'pinkish'}},\n", + " 4: {'JU':{'weight':15}, 'CH':{}, 'BR':{'state':'worried'}, 'CN':{}, 'CC':{}, 'JV':{}, 'BM':{}},\n", + " 5: {'TH':{}, 'GP':{}},\n", + " 6: {'GP':{}, 'MP':{}},\n", + " 7: {'MA':{}, 'GP':{'accompanied_by':'dog', 'weight':15, 'was_singing': 'Frère Jacques'}}\n", + "}\n", + " \n", + "H = hnx.Hypergraph(nested_dictionary)\n", + "\n", + "## The data associated with each incidence may be viewed from the hypergraph's dataframe\n", + "H.dataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Numpy Arrays" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:10.068048Z", + "start_time": "2024-05-16T22:40:09.995488Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## Numpy arrays must have shape (N,2) where N = the number of desired incidences. \n", + "np_array = np.array([['A','a'],['A','b'],['A','c'],['B','a'],['B','d'],['C','c'],['C','d']])\n", + "\n", + "H = hnx.Hypergraph(np_array)\n", + "\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Pandas DataFrames" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:11.076673Z", + "start_time": "2024-05-16T22:40:11.045899Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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dogscatsweight
0TogoAmber1.0
1TogoGeorge5.0
2BaltoBill1.0
3BaltoFred5.0
4TuxDaisy5.0
5TuxFred5.0
6TuxHenry5.0
7BuddyBill5.0
8BanditCozy1.0
9BanditAmber1.0
10BanditFred1.0
11BanditBill1.0
12BlackDaisy1.0
13BlackFred1.0
14BlackHenry8.0
15TogoCozy12.0
16RosaZukoNaN
\n", + "
" + ], + "text/plain": [ + " dogs cats weight\n", + "0 Togo Amber 1.0\n", + "1 Togo George 5.0\n", + "2 Balto Bill 1.0\n", + "3 Balto Fred 5.0\n", + "4 Tux Daisy 5.0\n", + "5 Tux Fred 5.0\n", + "6 Tux Henry 5.0\n", + "7 Buddy Bill 5.0\n", + "8 Bandit Cozy 1.0\n", + "9 Bandit Amber 1.0\n", + "10 Bandit Fred 1.0\n", + "11 Bandit Bill 1.0\n", + "12 Black Daisy 1.0\n", + "13 Black Fred 1.0\n", + "14 Black Henry 8.0\n", + "15 Togo Cozy 12.0\n", + "16 Rosa Zuko NaN" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## Data for large hypergraphs are often stored in a csv file\n", + "## These can be read into a Pandas DataFrame for insertion into an HNX hypergraph\n", + "filepath = '../data/dogsAndcats.csv'\n", + "\n", + "## uncomment the filepath below to run in Colab\n", + "# filepath = 'https://raw.githubusercontent.com/pnnl/HyperNetX/master/tutorials/data/dogsAndcats.csv'\n", + "\n", + "df = pd.read_csv(filepath)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:11.694228Z", + "start_time": "2024-05-16T22:40:11.600918Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " edges nodes weight misc_properties\n", + "0 Togo Amber 1.0 {}\n", + "1 Togo George 5.0 {}\n", + "2 Balto Bill 1.0 {}\n", + "3 Balto Fred 5.0 {}\n", + "4 Tux Daisy 5.0 {}\n", + "5 Tux Fred 5.0 {}\n", + "6 Tux Henry 5.0 {}\n", + "7 Buddy Bill 5.0 {}\n", + "8 Bandit Cozy 1.0 {}\n", + "9 Bandit Amber 1.0 {}\n", + "10 Bandit Fred 1.0 {}\n", + "11 Bandit Bill 1.0 {}\n", + "12 Black Daisy 1.0 {}\n", + "13 Black Fred 1.0 {}\n", + "14 Black Henry 8.0 {}\n", + "15 Togo Cozy 12.0 {}\n", + "16 Rosa Zuko 1.0 {}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## The first two columns are treated as edges and nodes by default (this my be changed in the constructor)\n", + "## and the 'weight' column is treated as weights for the incidences\n", + "## misc_properties can be user defined or generated by HNX for storing properties unique to individual\n", + "## incidences\n", + "\n", + "H = hnx.Hypergraph(df)\n", + "\n", + "print(H.dataframe)\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Additional Constructors\n", + "\n", + "In addition HNX has constructors for\n", + "\n", + "- NetworkX bipartite graphs\n", + "- Incidence Dataframes\n", + "- Incidence Matrices\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T04:25:30.239328Z", + "start_time": "2024-05-16T04:25:30.232725Z" + } + }, + "source": [ + "### Bipartite Graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:13.248125Z", + "start_time": "2024-05-16T22:40:13.223614Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.254324Z", + "iopub.status.busy": "2024-04-18T16:29:53.254010Z", + "iopub.status.idle": "2024-04-18T16:29:53.303938Z", + "shell.execute_reply": "2024-04-18T16:29:53.292829Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.254302Z" + } + }, + "outputs": [], + "source": [ + "B = nx.Graph()\n", + "B.add_nodes_from([1, 2, 3, 4], bipartite=0)\n", + "B.add_nodes_from(['a', 'b', 'c'], bipartite=1)\n", + "# Add edges only between nodes of opposite node sets\n", + "B.add_edges_from([(1, 'a'), (1, 'b'),(2, 'a'), (2, 'b'), (2, 'c'), (3, 'c'), (4, 'a')])\n", + "\n", + "HB = hnx.Hypergraph.from_bipartite(B)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:13.759144Z", + "start_time": "2024-05-16T22:40:13.700071Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.305657Z", + "iopub.status.busy": "2024-04-18T16:29:53.305197Z", + "iopub.status.idle": "2024-04-18T16:29:53.448759Z", + "shell.execute_reply": "2024-04-18T16:29:53.437300Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.305575Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ], + "text/plain": [ + " A B C D\n", + "index \n", + "a 5 0 0.0 0\n", + "b 1 3 0.0 0\n", + "c 1 0 0.4 0\n", + "d 0 1 1.0 1" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filepath = '../data/incidence_dataframe.csv'\n", + "\n", + "## uncomment the filepath below to run in Colab\n", + "# filepath = 'https://raw.githubusercontent.com/pnnl/HyperNetX/master/tutorials/data/incidence_dataframe.csv'\n", + "\n", + "df = pd.read_csv(filepath,index_col='index')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:15.718694Z", + "start_time": "2024-05-16T22:40:15.636090Z" + }, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " edges nodes weight misc_properties\n", + "0 A a 5.0 {}\n", + "1 A b 1.0 {}\n", + "2 B b 3.0 {}\n", + "3 A c 1.0 {}\n", + "4 C c 0.4 {}\n", + "5 B d 1.0 {}\n", + "6 C d 1.0 {}\n", + "7 D d 1.0 {}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "H = hnx.Hypergraph.from_incidence_dataframe(df)\n", + "\n", + "print(H.dataframe)\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Incidence Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:16.656311Z", + "start_time": "2024-05-16T22:40:16.647238Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[5. , 0. , 0. , 0. ],\n", + " [1. , 3. , 0. , 0. ],\n", + " [1. , 0. , 0.4, 0. ],\n", + " [0. , 1. , 1. , 1. ]])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "M = df.values #from the last example\n", + "M" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:17.279112Z", + "start_time": "2024-05-16T22:40:17.188583Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " edges nodes weight misc_properties\n", + "0 0 0 5.0 {}\n", + "1 0 1 1.0 {}\n", + "2 1 1 3.0 {}\n", + "3 0 2 1.0 {}\n", + "4 2 2 0.4 {}\n", + "5 1 3 1.0 {}\n", + "6 2 3 1.0 {}\n", + "7 3 3 1.0 {}\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## Names of edges and nodes correspond to index of columns(edges) and rows(nodes)\n", + "H = hnx.Hypergraph.from_incidence_matrix(M)\n", + "\n", + "print(H.dataframe)\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# HNX Hypergraph methods" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:18.262612Z", + "start_time": "2024-05-16T22:40:18.243770Z" + } + }, + "outputs": [], + "source": [ + "scenes_dictionary = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP'),\n", + " 8: ('FN', 'TH')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes_dictionary)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dual Hypergraphs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All hypergraphs have a natural dual structure where the edges and nodes switch roles. Edges become nodes and nodes become edges. This can be constructed by calling the `dual` method for a given hypergraph." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:20.013662Z", + "start_time": "2024-05-16T22:40:19.809860Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.454181Z", + "iopub.status.busy": "2024-04-18T16:29:53.453959Z", + "iopub.status.idle": "2024-04-18T16:29:53.631216Z", + "shell.execute_reply": "2024-04-18T16:29:53.630827Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.454172Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,2,figsize=(15,5))\n", + "HD = H.dual()\n", + "hnx.draw(H,ax=ax[0])\n", + "ax[0].set_title(\"H\",fontsize=15)\n", + "hnx.draw(HD,ax=ax[1])\n", + "ax[1].set_title(\"H-dual\",fontsize=15);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Access the objects in the hypergraph" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:20.891736Z", + "start_time": "2024-05-16T22:40:20.884945Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.631748Z", + "iopub.status.busy": "2024-04-18T16:29:53.631669Z", + "iopub.status.idle": "2024-04-18T16:29:53.634243Z", + "shell.execute_reply": "2024-04-18T16:29:53.633951Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.631740Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'BM', 'BR', 'CC', 'CH', 'CN', 'FN', 'GP', 'JA', 'JU', 'JV', 'MA', 'MP', 'TH'}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# There are 3 hypergraph view objects: Edges, Nodes, Incidences.\n", + "H.nodes.items" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:21.378390Z", + "start_time": "2024-05-16T22:40:21.366756Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.634745Z", + "iopub.status.busy": "2024-04-18T16:29:53.634668Z", + "iopub.status.idle": "2024-04-18T16:29:53.639379Z", + "shell.execute_reply": "2024-04-18T16:29:53.638854Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.634739Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0, 1, 2, 3, 4, 5, 6, 7, 8}" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.edges.items" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:21.843767Z", + "start_time": "2024-05-16T22:40:21.834020Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.640210Z", + "iopub.status.busy": "2024-04-18T16:29:53.640049Z", + "iopub.status.idle": "2024-04-18T16:29:53.642370Z", + "shell.execute_reply": "2024-04-18T16:29:53.642106Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.640197Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{(0, 'FN'),\n", + " (0, 'TH'),\n", + " (1, 'JV'),\n", + " (1, 'TH'),\n", + " (2, 'BM'),\n", + " (2, 'FN'),\n", + " (2, 'JA'),\n", + " (3, 'BM'),\n", + " (3, 'CH'),\n", + " (3, 'JU'),\n", + " (3, 'JV'),\n", + " (4, 'BM'),\n", + " (4, 'BR'),\n", + " (4, 'CC'),\n", + " (4, 'CH'),\n", + " (4, 'CN'),\n", + " (4, 'JU'),\n", + " (4, 'JV'),\n", + " (5, 'GP'),\n", + " (5, 'TH'),\n", + " (6, 'GP'),\n", + " (6, 'MP'),\n", + " (7, 'GP'),\n", + " (7, 'MA'),\n", + " (8, 'FN'),\n", + " (8, 'TH')}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# The number of nodes and edges is returned by the shape property\n", + "H.incidences.items" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:22.325872Z", + "start_time": "2024-05-16T22:40:22.317096Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'nrows': 13,\n", + " 'ncols': 9,\n", + " 'aspect ratio': 1.4444444444444444,\n", + " 'ncells': 26,\n", + " 'density': 0.2222222222222222}" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## basic information about the hypergraph\n", + "\n", + "hnx.info_dict(H)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:22.773733Z", + "start_time": "2024-05-16T22:40:22.768673Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(13, 9)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The degree of a node is the number of edges it is contained within. The optional `s` parameter places a restriction on the size of the edges you consider (default `s=1`). The degree function looks for all edges of size $\\geq s$.\n", + "\n", + "Note: `H.s_degree(node)` is a wrapper for the degree method and returns the same thing." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:23.758238Z", + "start_time": "2024-05-16T22:40:23.748596Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.643047Z", + "iopub.status.busy": "2024-04-18T16:29:53.642900Z", + "iopub.status.idle": "2024-04-18T16:29:53.645587Z", + "shell.execute_reply": "2024-04-18T16:29:53.645149Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.643039Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.degree('JV', s=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `dim` (dimension) and `size` methods return information about an edge. The size is the number of nodes contained in an edge and the dimension is one less than the size. The dimension is so named because if we consider a hypergraph as a [simplicial complex](https://en.wikipedia.org/wiki/Simplicial_complex), then each edge is a simplex. The dimension of a simplex is one less than its number of nodes." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:24.735075Z", + "start_time": "2024-05-16T22:40:24.726815Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.646427Z", + "iopub.status.busy": "2024-04-18T16:29:53.646272Z", + "iopub.status.idle": "2024-04-18T16:29:53.649000Z", + "shell.execute_reply": "2024-04-18T16:29:53.648645Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.646411Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(3, 4)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.dim(3), H.size(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `neighbors` method for hypergraphs works similarly as for networkx graphs. It returns an iterator that goes through all nodes which share s edges with the given node. By default s=1." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:25.716867Z", + "start_time": "2024-05-16T22:40:25.707850Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.649809Z", + "iopub.status.busy": "2024-04-18T16:29:53.649677Z", + "iopub.status.idle": "2024-04-18T16:29:53.653436Z", + "shell.execute_reply": "2024-04-18T16:29:53.653055Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.649800Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['BM', 'BR', 'CC', 'CH', 'CN', 'JU', 'TH']" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(H.neighbors('JV'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`edge_neighbors` returns the same thing on the dual" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:26.650867Z", + "start_time": "2024-05-16T22:40:26.640798Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0, 3, 4, 5, 8]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(H.edge_neighbors(1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Hypergraph representations\n", + "There are different ways to represent the data contained within the hypergraph. `H.incidence_dict` returns a dictionary whereas `H.incidence_matrix()` returns a scipy sparse matrix in Compressed Sparse Row format. `H.incidence_dataframe()` places the matrix in a dataframe and indexed by nodes and edges. `H.bipartite()` returns a networkx bipartite `Graph()` object." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:27.681913Z", + "start_time": "2024-05-16T22:40:27.673730Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.654126Z", + "iopub.status.busy": "2024-04-18T16:29:53.653983Z", + "iopub.status.idle": "2024-04-18T16:29:53.657107Z", + "shell.execute_reply": "2024-04-18T16:29:53.656735Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.654114Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: ['FN', 'TH'],\n", + " 1: ['TH', 'JV'],\n", + " 2: ['BM', 'FN', 'JA'],\n", + " 3: ['JV', 'JU', 'CH', 'BM'],\n", + " 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", + " 5: ['TH', 'GP'],\n", + " 6: ['GP', 'MP'],\n", + " 7: ['MA', 'GP'],\n", + " 8: ['FN', 'TH']}" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.incidence_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:28.242130Z", + "start_time": "2024-05-16T22:40:28.226895Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.658213Z", + "iopub.status.busy": "2024-04-18T16:29:53.658026Z", + "iopub.status.idle": "2024-04-18T16:29:53.666389Z", + "shell.execute_reply": "2024-04-18T16:29:53.666066Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.658198Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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"iopub.execute_input": "2024-04-18T16:29:53.670487Z", + "iopub.status.busy": "2024-04-18T16:29:53.670362Z", + "iopub.status.idle": "2024-04-18T16:29:53.827426Z", + "shell.execute_reply": "2024-04-18T16:29:53.827089Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.670476Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## Networkx and HyperNetX visualizations of the bipartite representation of the hypergraph\n", + "fig,ax = plt.subplots(1,2,figsize=(15,6))\n", + "BH = H.bipartite()\n", + "top = nx.bipartite.sets(BH)[0]\n", + "pos = nx.bipartite_layout(BH, top)\n", + "nx.draw(BH, with_labels=True,pos=pos,ax=ax[0], node_color='lightgrey')\n", + "hnx.drawing.two_column.draw(H,ax=ax[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Connected components\n", + "\n", + "\n", + "\n", + "Hypergraph metrics generalize traditional graph metrics by including parameters for edge size and edge intersection size, also called the *width* of the intersection. In the figure there are two hypergraphs. Each illustrates an (edge) path of length 2, connecting Blue, Orange, and Green. The path in hypergraph I has *width* 1, while the path in hypergraph II has *width* 3. The width of an edge path is the size of the smallest intersection. An $s$-connected component is one where between any two edges in the component there is a path of width $s$ connecting them.\n", + "\n", + "More details can be found in `/tutorials/advanced/Advanced 5 - s-centrality.ipynb` \n", + "To learn more about some of our research in this area, check out our paper, [Hypernetwork science via high order hypergraph walks](https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00231-0)\n", + "\n", + "`s_components` and `s_component_subgraphs` return a generators which iterates through the edge sets and subgraphs for each s-connected component." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:30.768499Z", + "start_time": "2024-05-16T22:40:30.757184Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.828133Z", + "iopub.status.busy": "2024-04-18T16:29:53.827942Z", + "iopub.status.idle": "2024-04-18T16:29:53.831384Z", + "shell.execute_reply": "2024-04-18T16:29:53.831050Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.828117Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1-component edge sets:\n", + "{0, 1, 2, 3, 4, 5, 6, 7, 8}\n", + "\n", + "2-component edge sets:\n", + "{0, 8}\n", + "{1}\n", + "{2}\n", + "{3, 4}\n", + "{5}\n", + "{6}\n", + "{7}\n" + ] + } + ], + "source": [ + "print('1-component edge sets:')\n", + "for comp in H.s_components(s=1):\n", + " print(comp)\n", + "\n", + "print('\\n2-component edge sets:')\n", + "for comp in H.s_components(s=2):\n", + " print(comp)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`s_component_subgraphs` returns a generator object which iterates through the sub-hypergraph for each s-connected component. " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:31.830090Z", + "start_time": "2024-05-16T22:40:31.770151Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.832013Z", + "iopub.status.busy": "2024-04-18T16:29:53.831913Z", + "iopub.status.idle": "2024-04-18T16:29:53.860352Z", + "shell.execute_reply": "2024-04-18T16:29:53.860003Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.832006Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1-component sub-hypergraph incidence dictionaries:\n", + "{0: ['FN', 'TH'], 1: ['TH', 'JV'], 2: ['BM', 'FN', 'JA'], 3: ['JV', 'JU', 'CH', 'BM'], 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'], 5: ['TH', 'GP'], 6: ['GP', 'MP'], 7: ['MA', 'GP'], 8: ['FN', 'TH']}\n", + "\n", + "2-component sub-hypergraph incidence dictionaries:\n", + "{0: ['FN', 'TH'], 8: ['FN', 'TH']}\n", + "{3: ['JV', 'JU', 'CH', 'BM'], 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM']}\n" + ] + } + ], + "source": [ + "print('1-component sub-hypergraph incidence dictionaries:')\n", + "for comp in H.s_component_subgraphs(s=1):\n", + " print(comp.incidence_dict)\n", + "\n", + "print('\\n2-component sub-hypergraph incidence dictionaries:')\n", + "for comp in H.s_component_subgraphs(s=2):\n", + " print(comp.incidence_dict)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:33.035043Z", + "start_time": "2024-05-16T22:40:32.862074Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.861140Z", + "iopub.status.busy": "2024-04-18T16:29:53.861032Z", + "iopub.status.idle": "2024-04-18T16:29:53.946600Z", + "shell.execute_reply": "2024-04-18T16:29:53.946233Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.861133Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,2,figsize=(10,5))\n", + "for idx,sh in enumerate(H.s_component_subgraphs(s=2)):\n", + " hnx.draw(sh, ax=ax[idx])\n", + " ax[idx].set_title(f\"component {idx}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The methods `component_subgraphs` and `connected_component_subgraphs` are wrappers for `s_component_subgraphs`. The methods `components` and `connected_components` are wrappers for `s_connected_components`.\n", + "\n", + "The `is_connected` method with optional parameter `s` (default `s=1`) returns `True` or `False` depending on whether the hypergraph is s-connected." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:34.163008Z", + "start_time": "2024-05-16T22:40:34.151130Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.947289Z", + "iopub.status.busy": "2024-04-18T16:29:53.947191Z", + "iopub.status.idle": "2024-04-18T16:29:53.951554Z", + "shell.execute_reply": "2024-04-18T16:29:53.951194Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.947280Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(True, False)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# The Les Mis example hypergraph is 1-connected but not 2-connected\n", + "\n", + "H.is_connected(s=1), H.is_connected(s=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# s-Line Graphs and s-Adjacency matrices\n", + "\n", + "In graphs, two nodes are considered **s-adjacent** if they share s edges. In hypergraphs, two nodes are **s-adjacent** if they are co-incident with at least s hyperedges. Similarly, two hyperedges are considered **s-adjacent** if they are co-incident with at least s nodes.\n", + "\n", + "An **s-linegraph on the nodes** of a hypergraph is a graph on the nodes of the hypergraph where graph edges connect s-neighbors.\n", + "An **s-linegraph on the hyperedges** of a hypergraph is a graph using the hyperedges as nodes where graph edges connect s-adjacent hyperedges.\n", + "\n", + "The corresponding adjacency matrices are the **s-adjacency** and **s-edge adjacency matrices**.\n", + "An s-adjacency matrix with the zero rows and columns removed is called an **s-auxiliary matrix**.\n", + "\n", + "**Note**: At present these matrices are unweighted, we will introduce weighting in a near future release." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:35.283951Z", + "start_time": "2024-05-16T22:40:35.274952Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.955850Z", + "iopub.status.busy": "2024-04-18T16:29:53.955684Z", + "iopub.status.idle": "2024-04-18T16:29:53.958755Z", + "shell.execute_reply": "2024-04-18T16:29:53.958449Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.955835Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(matrix([[0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0],\n", + " [1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]]),\n", + " array(['BM', 'BR', 'CC', 'CH', 'CN', 'FN', 'GP', 'JA', 'JU', 'JV', 'MA',\n", + " 'MP', 'TH'], dtype=object))" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## the adjacency and auxiliary methods return a matrix and has an optional keyword argument to return an\n", + "## index of the row and columns ids\n", + "\n", + "mat, rindex = H.adjacency_matrix(s=2,index=True)\n", + "mat.todense(),rindex" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:35.816896Z", + "start_time": "2024-05-16T22:40:35.809590Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.959400Z", + "iopub.status.busy": "2024-04-18T16:29:53.959303Z", + "iopub.status.idle": "2024-04-18T16:29:53.962573Z", + "shell.execute_reply": "2024-04-18T16:29:53.962125Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.959393Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(matrix([[0, 1, 0, 1, 1, 0],\n", + " [1, 0, 0, 1, 1, 0],\n", + " [0, 0, 0, 0, 0, 1],\n", + " [1, 1, 0, 0, 1, 0],\n", + " [1, 1, 0, 1, 0, 0],\n", + " [0, 0, 1, 0, 0, 0]]),\n", + " array(['BM', 'CH', 'FN', 'JU', 'JV', 'TH'], dtype=object))" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mat, rindex = H.auxiliary_matrix(s=2,index=True)\n", + "mat.todense(),rindex" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:36.375557Z", + "start_time": "2024-05-16T22:40:36.365446Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.963351Z", + "iopub.status.busy": "2024-04-18T16:29:53.963244Z", + "iopub.status.idle": "2024-04-18T16:29:53.978227Z", + "shell.execute_reply": "2024-04-18T16:29:53.977864Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.963344Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(<6x6 sparse matrix of type ''\n", + " \twith 14 stored elements in Compressed Sparse Row format>,\n", + " array(['BM', 'CH', 'FN', 'JU', 'JV', 'TH'], dtype=object))" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.auxiliary_matrix(s=2,index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Distances and diameters\n", + "Just as connected components of graphs can be generalized to s-connected components in hypergraphs, the distance and diameter can be generalized to s-distance and s-diameter in hypergraphs.\n", + "\n", + "We can compute s-distance between edges using `edge_distance` and between nodes using `distance`. See the glossary in the documentation for detailed definitions of distance between edges and between nodes.\n", + "\n", + "Exercise: \n", + "\n", + "1. What is the 1-distance between 'FN' and 'MA' in the hypergraph below? Hint: create a *path* between them by linking $s$-adjacent nodes, then count the number of nodes visited.\n", + "2. What is the 1-edge distance between hyperedge 4 and hyperedge 6 in the hypergraph? Hint: create a *path* between them by linking $s$-edge-adjacent edges and count the number of edges visited." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:37.493048Z", + "start_time": "2024-05-16T22:40:37.409010Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:53.978907Z", + "iopub.status.busy": "2024-04-18T16:29:53.978805Z", + "iopub.status.idle": "2024-04-18T16:29:54.039313Z", + "shell.execute_reply": "2024-04-18T16:29:54.039033Z", + "shell.execute_reply.started": "2024-04-18T16:29:53.978899Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplots(figsize=(4,4))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:37.936547Z", + "start_time": "2024-05-16T22:40:37.931102Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.040087Z", + "iopub.status.busy": "2024-04-18T16:29:54.039973Z", + "iopub.status.idle": "2024-04-18T16:29:54.042722Z", + "shell.execute_reply": "2024-04-18T16:29:54.042377Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.040079Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Optional parameter s is not shown, defaults to s=1\n", + "H.distance('MA', 'FN')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:38.479116Z", + "start_time": "2024-05-16T22:40:38.471217Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.043204Z", + "iopub.status.busy": "2024-04-18T16:29:54.043118Z", + "iopub.status.idle": "2024-04-18T16:29:54.046076Z", + "shell.execute_reply": "2024-04-18T16:29:54.045773Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.043197Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Optional parameter s is not shown, defaults to s=1\n", + "H.edge_distance(4, 6)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If the edges or nodes are not $s$-connected then the $s$-distance displays a warning and returns `inf`." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:39.518129Z", + "start_time": "2024-05-16T22:40:39.511922Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.046608Z", + "iopub.status.busy": "2024-04-18T16:29:54.046516Z", + "iopub.status.idle": "2024-04-18T16:29:54.049182Z", + "shell.execute_reply": "2024-04-18T16:29:54.048879Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.046600Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "inf" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.edge_distance(4, 6, s=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The $s$-diameter (`diameter`) is the longest s-distance between any two nodes and the $s$-edge diameter (`edge_diameter`) is the longest s-distance between any two edges." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:40.896439Z", + "start_time": "2024-05-16T22:40:40.885091Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.050023Z", + "iopub.status.busy": "2024-04-18T16:29:54.049805Z", + "iopub.status.idle": "2024-04-18T16:29:54.053360Z", + "shell.execute_reply": "2024-04-18T16:29:54.053050Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.050012Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(4, 3)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Optional parameter s is not shown, default is s=1\n", + "\n", + "H.diameter(), H.edge_diameter()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Below is a drawing of the hypergraph to help confirm the outputs:\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If the hypergraph is not $s$-connected then the diameter methods throw a `HyperNetXError`." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:42.513532Z", + "start_time": "2024-05-16T22:40:42.510808Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.054053Z", + "iopub.status.busy": "2024-04-18T16:29:54.053907Z", + "iopub.status.idle": "2024-04-18T16:29:54.056239Z", + "shell.execute_reply": "2024-04-18T16:29:54.055775Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.054041Z" + } + }, + "outputs": [], + "source": [ + "# ## Uncomment this cell to test the error message\n", + "# H.diameter(s=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If your hypergraph is not s-connected but you want to explore the s-diameters of all of the s-connected components (edge or node), use `node_diameters` and `edge_diameters`. These methods return a tuple where the first element is the maximum diameter over all s-components, the second element is the list of all s-diameters, and the third is the list of the s-components (edges or nodes)." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:43.578271Z", + "start_time": "2024-05-16T22:40:43.569968Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.056742Z", + "iopub.status.busy": "2024-04-18T16:29:54.056646Z", + "iopub.status.idle": "2024-04-18T16:29:54.059640Z", + "shell.execute_reply": "2024-04-18T16:29:54.059278Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.056735Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1,\n", + " [1, 0, 0, 0, 1, 0, 0, 0, 0],\n", + " [{'BM', 'CH', 'JU', 'JV'},\n", + " {'BR'},\n", + " {'CC'},\n", + " {'CN'},\n", + " {'FN', 'TH'},\n", + " {'GP'},\n", + " {'JA'},\n", + " {'MA'},\n", + " {'MP'}])" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.node_diameters(s=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:44.123786Z", + "start_time": "2024-05-16T22:40:44.112685Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.060295Z", + "iopub.status.busy": "2024-04-18T16:29:54.060202Z", + "iopub.status.idle": "2024-04-18T16:29:54.063273Z", + "shell.execute_reply": "2024-04-18T16:29:54.062953Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.060288Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1, [1, 0, 0, 1, 0, 0, 0], [{0, 8}, {1}, {2}, {3, 4}, {5}, {6}, {7}])" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.edge_diameters(s=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Collapsing nodes and edges\n", + "Sometimes a set of nodes are in the exact same set of edges, or more than one edge encloses the exact same set of nodes. We call these duplicate nodes and duplicate edges. We group the duplicates into equivalence classes and choose one node or edge from each class as a representative. The collection of nodes and edges in the same class are replaced by the single representative of the class, making the hypergraph less noisy. Use the methods `collapse_nodes`, `collapse_edges`, and `collapse_nodes_and_edges`. \n", + "\n", + "There are some parameters that can be used:\n", + "* use_uids = list : allows you to choose which representatives you want to use for the classes\n", + "* use_counts = True/False : If True then number of elements in each equivalence class will be added to the name of each representative. \n", + "* return_counts = True/False : If True and the count is added to the properties of the representative.\n", + "* return_equivalence_classes : returns a dictionary of equivalence classes along with the hypergraph.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:45.188147Z", + "start_time": "2024-05-16T22:40:45.145114Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'BM:1': ['BM'],\n", + " 'BR:3': ['BR', 'CC', 'CN'],\n", + " 'CH:2': ['CH', 'JU'],\n", + " 'FN:1': ['FN'],\n", + " 'GP:1': ['GP'],\n", + " 'JA:1': ['JA'],\n", + " 'JV:1': ['JV'],\n", + " 'MA:1': ['MA'],\n", + " 'MP:1': ['MP'],\n", + " 'TH:1': ['TH']}" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_node_collapse_counts,eclass_counts = H.collapse_nodes(use_counts=True, return_equivalence_classes=True)\n", + "eclass_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:45.720999Z", + "start_time": "2024-05-16T22:40:45.684693Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.063944Z", + "iopub.status.busy": "2024-04-18T16:29:54.063860Z", + "iopub.status.idle": "2024-04-18T16:29:54.097775Z", + "shell.execute_reply": "2024-04-18T16:29:54.097441Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.063937Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'BM': ['BM'],\n", + " 'BR': ['BR', 'CC', 'CN'],\n", + " 'CH': ['CH', 'JU'],\n", + " 'FN': ['FN'],\n", + " 'GP': ['GP'],\n", + " 'JA': ['JA'],\n", + " 'JV': ['JV'],\n", + " 'MA': ['MA'],\n", + " 'MP': ['MP'],\n", + " 'TH': ['TH']}" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_node_collapse,eclasses = H.collapse_nodes(use_counts=False, return_equivalence_classes=True)\n", + "eclasses" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "execution": { + "iopub.execute_input": "2024-04-18T03:53:54.902837Z", + "iopub.status.busy": "2024-04-18T03:53:54.901997Z", + "iopub.status.idle": "2024-04-18T03:53:54.914724Z", + "shell.execute_reply": "2024-04-18T03:53:54.912627Z", + "shell.execute_reply.started": "2024-04-18T03:53:54.902804Z" + } + }, + "source": [ + "If use_counts == True, the collapsed nodes will be enlarged according to the size of the equivalence class" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:46.880976Z", + "start_time": "2024-05-16T22:40:46.666838Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.098441Z", + "iopub.status.busy": "2024-04-18T16:29:54.098349Z", + "iopub.status.idle": "2024-04-18T16:29:54.231191Z", + "shell.execute_reply": "2024-04-18T16:29:54.230892Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.098434Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,3,figsize=(15,10))\n", + "\n", + "pos = hnx.draw(H,ax=ax[0],return_pos=True)\n", + "pose = {nd:pos[nd.split(\":\")[0]] for nd in H_node_collapse_counts}\n", + "\n", + "hnx.draw(H_node_collapse,ax=ax[1],pos=pos)\n", + "hnx.draw(H_node_collapse_counts, ax=ax[2],pos=pose) ## note the node size reflects the counts" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:47.221864Z", + "start_time": "2024-05-16T22:40:47.196249Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.231859Z", + "iopub.status.busy": "2024-04-18T16:29:54.231767Z", + "iopub.status.idle": "2024-04-18T16:29:54.247415Z", + "shell.execute_reply": "2024-04-18T16:29:54.247052Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.231852Z" + } + }, + "outputs": [], + "source": [ + "HD_edge_collapse = HD.collapse_edges()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:48.159363Z", + "start_time": "2024-05-16T22:40:47.993317Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.248001Z", + "iopub.status.busy": "2024-04-18T16:29:54.247865Z", + "iopub.status.idle": "2024-04-18T16:29:54.424836Z", + "shell.execute_reply": "2024-04-18T16:29:54.424402Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.247986Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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jybjzDUs44Gft7Bks/HYCSjjM2fc8SF7n2A1MaQhRM24d4UIP8aNbYuuZBsBrv7/GZ2s/48MRH9ItpRtaNErhTTcT2rKZZl9/jSHl+EmdJwiCIAhHUrgkVoFbC0ZJuKIt5lbx+91nxL9m0TLFzptXdt/vtr/++iu33HILW7ZsaVzWrl07Pv74Y3ofwMu9X9aUo2oaIzrGXnjed999TPrqO1b+tBBbp31/X19//fXU19eLQEMQjrVoXR0Vzz6H+4cfsA8aRNpTT2FI3fV/YE3T+GD1B7yx9A3OaX4OT5/xNEadEU3RqP9+E76F5dgHZOEanoekk1BVhfn/G8uCb76kefdejLjrfix2R+OxFjb4+KSkmslVDUQ0DZMskW2OBRQ5ltgbksLtgUdhIExY0zBKEuemxHF9ZhI9ndbGIMjvbuDH/3uFglXLOePiKzl9dGyyuqao1E3chH9ZJcm3dcaU4ySiRrj555sp9hQz4dwJJFoSiVZVsXX0RRjz8sj56EMk/f6LDAmCIAjCicy3pIK6iZswpFpJvLrdAU2wjioqbf85hSfO68A1p+87+9Ps2bMZMmQI0Wh0t3UWi4X58+fTpUuXfR5jRVEd+WUeLu+dQzgcJiMjg3uuu4O/3Xgv1g5JXH/99Wzbto0ZM2bstu+RDjTEk4IgHAD3lJ8pf+YZtGiUjJdexHnuubv1YkTUCM8ueJZvNn7DHV3u4I4ud8SyNwWj1IxdR2hTPfEXtcLWK9Zr4G+o54d/v0zRmlX0u/xaep9/MZIsE1ZVxpXV8nFJNfm+IM0tJh5rkc6o5DjSTQbkveTfVjWN0lCESZX1fFJazdcVdXSwm7k+M4nL0xKxOl2MfvRJFnz9JfO+GkvphnxG3v0AVqeL+AtaEq30U/vFOlLu6YbBZuDlgS9z6aRLeXjWw7wz7B30yclkvvYqBdffQM1HH5F0yy1H/HMXBEEQhGNBi6rUT96Cb0EZ1p6pxJ/fEslwYAlRyhqCRFWNnATrfre9++679xhkQGw41eeff77fQMNuNhCMqoSjKt9++y319fVcffEVyKZYJqr09HRUVd3nMY4UkUJGEPYhWlND8b33UXLffVi7d6PF5Em4zjtvtyDDHXZzx7Q7+H7z9zzX7znu7HonkiQRrQ9S9fYKwoVukm7s0BhkVG7bwmeP3kd1UQEXP/YMp114KZIsUxoMM3rZJh7dUEyexcSXXVow57S23JadQqbZuEuQoWkKmqY0/ixLEllmI3fkpDDvtHaM69ycLLORh9cXc/HyTZSHIsiyjjMuuZKLHn2K8i2bGPvYAwS8HiS9TMJV7dCiCrXj16GpGinWFF4a8BKLKxbzn+X/AcDaqxdxoy+k7vMv0PZyYxQEQRCEE5nSEKLq3ZX4FpcTN7olCRe3PuAgA6Cozg+w30Bj69atrFy5co/rkpKSuPDCC3E6nfj9/n0ex26K9Rt4QxE++OADRo4cSWZGFmo49owwZswYPv300wNuf1MSPRqCsAeapuH+8UcqnnkWJInM117FMXLkHqt5FnuKuWv6XVQHqnl32Lv0SusFQLjYQ/Una5D0Mil3dGlMf7dl2WIm/+sl4tMzuOChf+JIiE3Onlnr4Y6127DIMpO6t6KHa2e6PEUJUln5I/UNvxMMFBMIFBEMlQJgNmdgMWdjtmQTF9eLlOSR6HQmBic6GZzoZGG9l9vWFHDm4vW83SGXfvEO8rp056rnXuOLv/+Vn958lQsfehy9y0TC5W2p/nA1nl8LcZ6ZS+/03vyl2194Y+kbDM0ZSoekDsRfeSX1//sKz2+/4Rw27Ej/KgRBEAThqAltqadm7DoknUTK7V0wZjsO+hh1vggACftJaVtVVbXH5W3atGHo0KGkpKSwceNGPB4PVuvegxazPhYEbd68lWnTpvHNN98gmXUoJSE0VT2mqelFj4Yg/Em0qoriv/yF0gf+hvX002k+eRLOs8/eY5CxsmolV/14FRE1wudnf94YZATW1FD1zkp0cWZS7uzaGGQs+3ky3774DDkdu3D5ky/iSEhC1TRe3VrO5Ss209lu5ZeebRqDDL+/gI2bxjBnbl/W5j+I270Snd5BcspwWrd6nNatHic5+Sx0egdu93LWrn2AufP6sWnTSwQCRQCcFmdnaq/WtLObuXT5Zt7YVoGmacSlpnH23Q+wdfkSFn33FQDmVvE4h+bgnl5IcEMdADd0uIEMWwbj1o2LbdOuHZauXakfN+7I/iIEQRAE4SjRNA3P7GKq3l+FIdVKyl+6HVKQAZDmis3jKG0I7HO7Zs2a7fJsYTAY6N+/P6NHj8Zut7Nu3ToAEhIS9nkcfzg2wuDrL78gJSWFc845B9kYGzalhY/NkKkdRI+GIGynaRru77+n/PkxSHo9mW+8gXP4WXvdfmrBVB6d/SjtE9vzxuA3dmaWmltKww9bsHRIJP7SNshGHaqqMPOzD1n643f0OOd8Blx9Y2P17jcKKnhlWzkP5KXx17xUdJKEqkbYvOUVCgs/QK93kpF+MZmZV2C1NtvnNfh8Wygtm0BF5SRKSseTnX09ebl3kmw0ML5LC/6voIL/FlVi1Unckp1Cs2496XvZNfw+eSIZrduR3aETjiE5hMt91E3aTNq93dHpdVzS5hLeXvE2f+v5N+LMccRfeQWlDz1MaMtWTM333SZBEARBOJ6pIYW6rzcQWFmNfWAWrrNiCVsO1Y4hU4W1ftqlO/e6XXJyMueccw6TJ08mLi6OoUOH0qVLF8rKyqiri73sO+OMMzD8qXbWDpqmxepdhaKoqsq4zz/luuuuQ6/XoxhiAYYaVvjHU/+kpKRkl+FTa9euJRwOU1tbi8fjYfny5QB07dr1kK97T0SgIQhApKKC8ieexDtjBs5Ro0j9x9/Rx+85fZ2maXy05iNeX/I6I/NG8ky/ZzDpTLHMUpM345tfFrtRDc9DkiUiwSA//N/LbFmymCE33k634TtzWs+q9fDS1nLuz0vlb81i8zdCoQpWrb4Ht3s5LVo8SHbWteh0ll3aEA6Hqa+vByA+Pr7xJmSzNadVy0do0fx+6ut/p7Z2DiWlE0hPOw+93s59eWl0dliYV+9lmz9EntVE7/MvxuJwUpS/muRmzTBb7cSd3wLv7BIilX6MGXYubHkh/13+X77b/B3XdbgOx/Dh6Ma8QP2X40l99NEj8BsRBEEQhCMvUuWn5vN8lLoQCVe1w9op6bCPmWQ3YjHoKKzZ99wKgLfeeouamho6duxIdnY2mzdvJhQKAZCWlsbVV1+92z6+UBSzQUa3fUiUJxhly/L5FBYWcuONNwIgbe/RIKJQVlZGYWHhLsc4++yzKSgoaPx5R92Opk5GK9LbCqc0TdNo+GYiFS+8gGQ2kf7kkziGDt3r9hE1wnMLnuPrjV9za+dbuavrXciSjBqKUjt2HcGNdcRd0BJ771gua29tDRNfepq6slJG3fcQzbv1ajxWWSjMmYs30NFuYWyX5ugkiYaGZaxYeRuypKdjx38TF9ezsZ1bt25l8eLFFBUV4fV6d2mX3W4nJyeH0047jZycnMauWK93C6WlsSFOWVnXYrVmo6ga7xRXUhmK8Ne8NFwGPSG/n/lfjSMhI5POZ44AoGFGEZJewtkvC4BHZj/CyqqVTL5wMrIkU/nqq9SN/5JWM2cg72PsqCAIgiAcjwJraqidsB6d00jiNe0xpDTdd9kV7y5AUTUm3N5nv9t6PB6mTp3K5MmTCQQCWK1W+vbty2WXXYbNZttl2/zSBt6fs432GQ4u6ZGN1ahj8spSnBYDQ9qmNm6nqRrehaWY8lwY0+1Ndl0HSwQawikrUlZG2eNP4Js9G9f555P66CPo4uL2ur0n7OGBGQ+wuHwxT5zxBBe0vACAaEOImo/WEK0Lknh1u8ZCPlUFW5n44tNomsqFDz9BSl7znedWNUYv20RJKMwvPduQZNQTClWyaPG5WMzZdO78NkZj7K3K+vXr+eWXX6ipqSE5OZl27dqRkJBA/PYel7q6Ompra1m7di1er5cBAwbQvHlz0tJiPSSRiJvCoveJhBto2fIB9HonDZEoz28pI8Wo577cNHSyxJali1k3dxZDbrwNs81OqNCNb1E5zrNy0TtNLK9czjU/XcPbZ75N38y+hIuL2TzsLNKfeZq4iy8+Ar8hQRAEQWh6mqrh/qUAz4wiLB0Tib+kNbKpaQf5TF5Zyt1jlzHlvv60Tdv78Kk/8/v9+5z4vaywjkVba/GHFZwWPSa9jqiqMbx9CulxVlRVQ95esdz7ezmGZCum3AM/f1MTQ6eEU46madT/739UvvgSst1O1ttv4Rg0aJ/7lHpLuWv6XVT4K3hn2Dv0To9V6gyXeGOZpWQpllkqLfbmYevyJUz+1wvEpWZwwcM7M0vtMKG8lt/dPiZ1b0WSUY+qRlm95l5AptP2IENRFH777TfmzJlDixYtOPfcc8nNzd1tUnpubqwY0ODBgyksLKS6upqFCxfSsmVL2rVrh8HgJCf7JjZvfoWi4s/Iy70Dl0HPzVnJvLqtnEVuH33i7GS178j6+bMpXruKlr36YMy0EzDrCBd50Hcw0SW5C23i2zB+/Xj6ZvbFmJWFfcAA6saOE4GGIAiCcEJQfBFqx8dqW7lG5mEfkLXHZC+H66z2aSQ7THyxoJBnLuh4wPvtK8gAMOpkoorGzf2bUVTr54uFhRh0MuXuEOlx1sYgQ9M0ZKMOLazs83hHmsg6JZxSwsUlFN10E+WPP4Fj5AiaT/p+v0HG6urVXPnDlQSiAT4/+/PGICOwtoaqd1agcxpJuatrY5Cx/JcfmfjiU2S168hlT72wW5ChaRoflVQzNNFJz+3ZpbZseZWGhiV06vh/mLYHGePHj2fu3LkMGzaMq6++mry8vH3eDCVJIjc3l27dutGuXTvWrVvHggULUFUVg8FFVtY1+HybqKz8CYBWNjPtbRZm1XoAMJotZLRuR8GqFaiqiqSTMTZzESn2ooaiSJLE5W0vZ1bxLMq8ZQA4hg8nuHYtamDfmTUEQRAE4VgLF3uo/L9lREq9JN3UEcfA7CMSZAAY9TJX9s5hwu9F5Je5D/k4ywrr+H1bbePPHTJduIMRlhTUkWg30TrVTrMkGxOXlfDN0mLqfGEg9kwgGWXUyLHNOiUCDeGUoKkqdf/7H1vPO4/Q1m1kv/ceGc8+i8657+7EaQXTuGHKDWQ5shh7zliau2LDnzxzS6j5bC2mVvEk39oZncOIqirM+PR9pn/wX7oOP4fzH3wMo9my2zGXuv2s9ga4PjMWgAQCJRQUvk/zZn9tnJMxY8YMNm3axFVXXUXfvn0P6kYoyzKtW7emT58+lJaWNqbHs9tbk5w8nOrqaYQj9QAMTHCwNRCiIBCbeJbXuRtBj5vKbVsAMDVzoakq/pWxXN/DcoehaiorqlcAYMzNASBSXHzA7RMEQRCEo823uJzKt1cg2w2k/KUb5pZ7TvjSlO4Y1ILmyXbu/GIpnmDkoPf/bnkJo9+ax5u/bWJbdWxupqZpdMuJo6jWz8z1laQ4zAQjUaKKxsriBsYuLOTnNWWoqhabEB4+tsV1RaAhnPCUhoZ9ro9WV9Pw/SS803/Fed55NJ/0Pfb+/fa5j6ZpfLz6Y+6fcT8Dswfy/lnvk2BOQFM16r/fTMOkLdj7ZZJ4VTtko45IMMik18aw9MfvGXz9rQy5/rbG9LV/9lFJNTlmI4MTYvm5S0rHodNZyc6+DoANGzYwe/Zshg4dSsuWLQ/hE4nJyMigffv2rF27loqKCgCSEgciSUbqaucD0NFuIcGga+zVcKWm4UpLp2DlMgB0VgO6ODORwu3rTS6cRifFnlhgYciKTRQPF4lAQxAEQTj+aFGVum82Uvf1RmzdU0m5vQv6OPNRObfZoOO/V3VHUzW+WlKEqh7ctOit1T4ANA3GLSokFFWQJAmXxcD6cg++sMLibbXU+iI8OKINfxnSklapdn5YVc7Swjokgw41JHo0BOGQhLZuZfPwEVS98W+UP2VhglgvhnfWbCpefZXQpk2k/v1R0p98Ap1939kXomqUZxY8w6tLXuWmTjfx0oCXMOvNqCGFmk/X4l1QStwFLYk7pzmSLOGtq+XLpx6lYOVyzn/wMbqPPG+vx66NRPm+sp7rMpO218sIUVr6JenpF6HTWdE0jalTp9K8eXPOOOOMw/6M2rZtS3JyMqtWrULTNHQ6C664ntTVzWfMmOfR62TWvvo8ixt8+KOxcZxpLVpTV1bSmOJOZ9UTrQ83HjPTntkYaOiTk5GMRtGjIQiCIBx3ovUhKt9ZiW9pBfEXtSJ+dCsk/dF99G2WZOO/V3fHHYjy4Zyt+EP772FQtgckl/bMJi/Rhtkgs6Xax7LCevzhKPX+CIGIyrLCelok27lnaCvirUYS7SbO6pDGE6Pa0zMvAcmoQ1NUNPXYBRtiMrhwwgosX0G4sJBoTQ22fn2xDx7cOMQoWlVF3ZcTCG/dgq1vP5xnj0Q27/8NhqIq3D/jfmYXz+bpM57mwlYXxpY3hKj+eA3R2iBJ13XA3CZWpbOqcBsTX3gKTVW47KkXSW3WYp/HX+UJENY0zk5yAVBZ+TORSC1ZmVcBUFBQQFVVFSNHjkSWD/9muGMY1dy5c6mtrSUxMZHEhL7MnvU1b789m86dO5Ns0BPWNIqDEVrbddhcLpRwmHAggMlqRbYYiNbvnIOR5cii2BsLLCRZxpCVRbi46LDbKgiCIAhNJbipntpx65AMMim3d8GYdWhVvptC+wwXGvDZ/AJe+nk9N/bNIyfRttt2xXV+suKt6GQJVdXQ6yR65cXTIzeedWUe1pY2sKakAYdZT7t0B5IEl/XKRifvOrw60W4CQDbGniO0sIpkPjZ9C6JHQzjh7HjTbmreDOfIERhysql8+RUiJaVoqopnxgwqXnkVxe0m8Y47iBt94QEFGQDvrnqXGUUzeGPIG41BRrjUS+V/lqP6o6Tc0aUxyNi2fAnjH38Qs93Olc+9tt8gA6AsGCbBoCPLbAQgECwkO/sWbLbYvps2baJly5Y0a7b3atsNDQ08+uij9OjRgx49evCPf/wDj8ez1+1TU1Ox2Wxs2RKbdxGNOnn00Wm89NKtxMfHY9bFbgPVkdj4UaszLtY2d2xImmTVo3qjqNszV2Q5sijxlDQe35CdRUQMnRIEQRCOA5qm4ZlZTPUHqzCk20j5S7djGmTs0CHDxYPD22A36Xht6gY+nLOFDRXuxmea+8Yv45K35/P+7C1EFBVZlkhxmPGFFGZuqCLVZcIXiuIPKwxonUSP3HiK6wLIkoQkSXsstCeZZNBJjd/fx4Lo0RBOGNHaWvQJCY29FrLNRmjbNjKefZbie+6l6o03MKSlESktxT6gP44RI5BNpgM+/rySeby1/C3u7HonA7IGABBYV0vt2Hz0yVaSruuAzhkLEFZOm8K0D/5LXpfujLr3IYyWAyvyk2TSc3t2Cobtbx/s9o6YTemN61u1akXXrl33Ovk7GAxy0UUXMW/ePALbMz0tXbqUSZMmMX/+/N0K+0CsVyMjI4OyslimqLvuuoshQ7rQp08mb70FOknCptdRvX3CmMUVB4DPXU9cWjo6a+w2odQFkVNtZNmzKPOVEVWj6GU9xsws/IsXHdD1C4IgCMKRokYVvAvKcU/dhmNgNs6zcpHkI5NV6lAk2k3ce2Zr5m+uYfbGKt78dTOpThPJDhOzN1ajahpvTN/IssJ6Up0m2qU7kWWYub6aDJeZfi2TKaj1s7yogZ65CaQ4TPxeUEvvZol7fG6QjDpkox6UY1cyTwQawnEvtHUr2y66GGOrlsRfckljzQZTy5bIViveuXNxXXwR1f96A/uQwaQ8+CCmffQI7Em5r5yHZz/MGRlncGvnW4FYt2vNJ2swt0sk4fI2sXzUqsqssR/z+6Rv6Dr8HAZfdyuybs+TvvekOBBG/4d7QSTixmRMAUBVVaqqqvaZQ7u4uJj+/fvTqVMn/H4/dXV1VFdX4/F4+OSTT7jzzjv3uJ/NZsPn8zF27FiWLl3Kt989TDhc2rg+yainOhILNIxmM3qziUBDPQCy1QBAtDaIYXugoWgK5b5yshxZGLKzCU+ciKZpRyxNoCAIgiDsS7QhhHdeKbJVT/LNnTDluY51k/bIoJMZ0DqZ/q2S2FjpZd7mGkrr/LRMsVNQ48ciwbYaH9PzK+iQ4aRFsp1uOXGM7JhOj7wEPpm3jXELC5mzsYawojKsfepezyXpZELbGpDtBvTxR2cC/J+JQEM4/qkqaiCAWt9A9XvvEdq4iYTrrsWQkYGlSxc8P/+CMS8PS9cuhLdsRTYaD/oUf5/zd8x6M2P6j0GWZJSGELXj12FqEUfi1e2QZIlIKMhPb77GxsXzGXzdLXQbed5BP1iXhiNkm2Lt0zQNtCiyHPs5HA6jKArGfbR/y5YtVFVVoSgKVquVhIQE2rdvjyRJ+wxQXC4Xfr+fBx54gGnTpuF0VFFVtapxfZJRT+UfJqhZnXH4dwydMupAJxGtDQKxoVMAJd4SshxZGLOz0AIBlJoa9Em71gwRBEEQhMMVLvag+iLIdiOGFCuSYdeR/6FCN76F5chWPdbuKegdBz6a4ViRJInWqQ5ap8aGdSmKygtT1rFoay039G1GqxQ7//frJsrcQeZsqqZNmpMeeQlcc3ouSwrqSHIYuX1gC8yGvb/slCQJSS+j+Q4+tW5TEYGGcFyKlJQgGY1IFgumFi1IuuMO6saPJ/mv99Hw9TdUjHkBU8eOBJavIFJWRuarr6BLTGLzsGHUfvopyQ88cMABx+rq1SwuX8wbg98g3hyPpqjUjFuHJEskXN4GSZbwuxuY+OJTVBcVcP4D/6Blr9MP6bpkJP7YgWmzt0Kvj91kZFnGZrPtN3gJBoP4fL7dj72PyeMmk4n6+nqqqqro3r379qUaiqIya9YspDffZMy6bY3b79Y78YefFS021lOWtk8yU9QdDdhnuwVBEAThYNV/vxn/yioknYziDuEYmI29XwY6uxFN1fCvrCKYX4sx24HttHRkw4n5XaTTyTxwVhse/Gol4xcXMmZ0Z/51eVd+XVfJ5kovHTNjPTSyLPHshR1xmg0HdFzZohdzNAThj8qeegrfnLnIZhOy3UHeuLEk3/MXGr77juDKVcRfdx31X35J9Ztv4hg2jNC6dSgNDRhzc0l78klK7rsPa+/eOIYOPaDzTdw0kQxbBgOzBgLgmVlMuNBD8m2d0dmNqIrCpNfH4K6q5PInXyS1+aHXtkgy6KnaPulakiQMeieqGiuWp9friY+P32fA0Lx5c1JSUqirqyMUChEMBhsngHXr1m2v+/l8Pjp27MiKFSuQZRmvdzN+/1YefviLWArcK28k2Rx7A6RpGv6GBjJatwNADSqggi4h1u26I7Vtlj3WsxEpLkK2WtHFH/niR4IgCMKpQQ0rVH+wGtUfIfGa9ujsBrxzS/HOL0WfYsHSPhHvvFIilX6sXZMxt0044Yfvmg06Hh7Rhoe+WslrUzfw5LntObtTOme0SCTOuvPl6YEGGQA6lwlJd+w+FxFoCMcN3/z5lPztQQzp6aQ/9STRmloqX3qJipdeJvWhB8l45RUKrryS4Lp1WHv3xtanD74F81H9ftheHM85/CwC116DISPjgM4ZjAap8FVwSZtL0Mk6tKiKd14ptt5pmHJjVcPnfPkZJevWcuk/nz+sIANiQ5S2NAR3LpD0RCN1QKxHIhKJEAgEsO+l1kezZs0YMWIEZWVlRCIRwuEwfr8fl8vFiBEj9nreUChEQkICnTt3BqCuLkAorMdms5GYmIiheUuSjLHbQSQYQAmHsLlib0+0QCww0m8PNEq8JehlPSnW2NyScHExhuzsE/4GLwiCIBx7mqZBVKP6/VVEqgKk3NkFQ3JsaHDceS3wr6omuK6WcJEHVA3H4GyMqbsnQjlRZcVbuWNQC16fuoH3Zm/lkZFtibMaUVUN+RAmtss2A4Hlldi6730ux5EkAg3huFD3v/9R/vgTJN58MykP3N+43DdnDpLBQGjbNjzTp2Ns1ozQ5s2kPvkE1g4dcF14AUpdHeY2bRr3SX300QM+77KKZbRLaMdFrS4CILCmBtUbwd4nlgmqdMM6Fn/3FQOuuoGs9h0P+zqTjHrqIgpRVeW9d97hv//9PwoKCgGZDh068Je//IUzzjiDxMTEPfZs6HQ6zjjjDFavXk1ZWRl6vZ7s7GxatWqFbi+T0lVVJRwOk/SH+ROqGkani92YFU2jIaqQZIy9IfFvr7S+I82t4o/N3dgxkazYU0ymPRPd9uAuUlSMITvrsD8bQRAEQZAkCQwSttPScU8tILShDtlqQGeLfUfJZh2Rch+WjknY+2Wisx742/0TRf9Wyawv9/DVkmLSnCau79vskIIMANUTIrihrolbeOBEoCEcF0zNmmHu0AH5D+lZI6Wl+BbMx5CZhXvKFKy9e5H93rsU3XobNf99C+Ozz2BIScGQknLIGY+KvcXkOnOJN8eG/XgXlGJs5sKw/e3IsimTiEtLp+eoC5vkOpMMejSgKhwlKyuL559/nuxsByZTCp9/Pp7rr7+eH3/8kZTt11RSUoKqqphMJmw2G3a7HbPZTNeuXenatesBnTMYDGKxWEhOTgYgGvVhNCai09mYMWMGxcEwz24uJckQux3smAS+I82tGoggOwyNk++KvbFAY4dIURH2wYOb5PMRBEEQTl2+pRVoQQV9kgVbj1QipV6888vQJVowt4yLFc6tCeAYkoNzcDaS7sScj3Egrjsjj40VXlqk7HmEw4GSjHq0oIIaVpCNB54ls6mcvL8h4YRi7dkT++BBeGfPxv/779SNH8/mc0YhGU0oXi+qx4Nv1myUmhoyX3sN74wZuCdNRvvDfIdDkV+TjycSK3aneMKEt7qx9U4DwN9Qz4YFc+ky7GykfcybiEaj/Pzzz3zwwQfMnz9/n+fLsZgwSjIrPQHOPfdczjnnPFq2akazZik899xz2O128vPziWy/LrvdTnJyMjabjVAoRHV1NeXl5ShKbGJXfn4+CxYsYM2aNRQVFeF2u1FVtfF8qqpSU1MD0JjNKhgsRZZNWCyxYGFJgw+zLJO9vYigr74OvcmEcXuRQ80fRR+3My1eibekcX6GpiiES0sxZIkeDUEQBOHQKO4QlW+twL+8inCpFy0a+x6LO7cF+kQz7qkFlL2wiHCxh7jRrXGdmQvHUX2MI8Ggk3l+dCf6t0o+rOPoHLHvdtUdbopmHTQRaAjHjYTrrkfncFB0191Uvv4vLJ064Tx7JNlvv03L6dNQvV7cP/+MuU1rXKNG4fn1VzTl0DMp+CI+vt38LfGmWG9GtCZWAM+YEevN2PT7QjRNpcOgM/d6jPz8fNq3b8+IESO4+eabOeOMMxg8eDC1tbV73N6qkzktzsYyt2/7eEsZg95BMFjN2LFj8fl89O/fn0AggNvtRpIk4uPjSUlJITs7m4SEBDweD9FobDiTqqo4nU4MBgPV1dWsW7eOurq6xmCjtraWUCjUOGxKVcOEI7Xo9Q4kSSaqqsyt93J6nA2zTkbTNMo2riMhM6exzYo/gj5u50TxYk9xY4rbaGUlRCIYxdApQRAE4RCEtjVQ8cYy9EkWEq9oS9x5LbC0T0RTNaJ1QeyDs1Fqg2ghhfjRrbD3TEVTT426TbomCKZ2FBpWPMcm0BBDp4Tjhs5uw3nuKAIrVqBLSCD+2mtxDB4EioJkNGLISEeprwcg48UXDvt8he5CImqkcRjQjjoRuu1zEerLS3EmJWOxO/a4fzQa5fzzz2fjxo27LJ8xYwb33nsvn3322R73GxBv5/NAiKCmsnnVWvr06UMwGMRutzFx4kS6du2K1+uluroag8Gwy1wNvV6Px+NpzDQVCoVo1qwZ8dszPtXX1xMKhQiHYzcUTdNIT0/HYrEAEAxWotfZMBhiE72Xefy4owoD4mPXWFtajKe6inb9BgGxG5PSEMLYLDYxvjZYizfibfzMwkVFABiys/f/gQuCIAjCH6ghBc+MYqxdk3Gd3bwxO1Kkyk/tuHWoYRV9sgVLt2QCq6qJlPtQmrtiqW1FkdgD0hhoHKMeDRFoCMcFNRzG89MUvLNmYWzeDC0UQjYakHQ60Onwzp6DFo7gGDIE2EOdh0NQ7N2epnX723mlNohsNzSOYWyoKMeVkrbX/adNm7ZbkAHQs2dP0tLScLvdOJ3O3dZnW0z0ibMTVTXatGnD8uXLqa4u5H//+5LrrruWmTNn0bZtW2RZJhCop6ioGqPJgtHgIhKRGudpRKNRIpEIBsPOiXB2ux23243b7UbTNCwWS2Mhv2jUByhYLHnIcmyfWbUeWtvMZGwfNlW4ajm2+HiSsnMBCG5tQNLrsHSI9YhM2TYFvaSnW0oslW64oAAAQ+bOORuCIAiCcCCi1QFCW+qx923fGGQEN9ZR/eFq9MlWVF8EzWnENaIZxjQ77t8K0dmN2Hql7Va0T9gzyaRDMsoi0BBOXaEtW6j78kuU+nqco87B0q0bZQ8/QsO332Hu2JHazz6j9oMPSbz11sbaGE3xFqPCV4FZZybOFAeA4o0g23Y+tPvdDdjiE/a6f3Fx8R6XJyUl4XA4qK+v32OgAdDFYUEngSbradmyJS1aNKd79+4sW5bPv/71Om+//Q6SVILJVA5ohEJhwiE9ekMCKSmxNtXWLsZgWEtJqQGnIx2DwUBtbS1ms5lIJEJcXBxWqxVJklCUEIFgCTrZgl4fGxq21utnoz/ELVmx8Z9Bn5eyjRto228AkiyjRVUi2xowtoxHNurQNI3x68YzNHcoydbYPu4ff8TSrRuy6fivwioIgiAcXxRvGC2qYkjfmQhGsuoxtYpH5zSicxkJrq/D81sRruF5BDfV4V9WiaVzEjrDgRXlPdVJkoTOaULxhI7J+UWgIRwzajiM+4cf8c2ZgzEvl8Qbb8KQGqvNkHDTjVQ89zwb+/bDkJVF7tixWDp2aNLzB5UgFr2lMWjRuUy7RPz2hEQ8NdV73b9du3Z7XG6z2QiHwyQmJu51X5dBT0BRqY5ESJUM6GUZvd6BqqoEAh4aGlaisRGTsTlOZxsUxUQ0GiIQKKe84juMxlxq6xZgMBYQjchUVsoEgyF0Oh0ORwSTKYDJHL8zyAiUICFjNmcgSRJBReWj4mo6Oyx0c8Z6PIrXrkKSZbLadQIgVOhBDasYc2LDqhaVL2KbexuP93k8tn7LFvzzF5Dx8ksH8akLgiAIwnZRFSSJ0JYGLB2TCBd78C0sw5Bmxd4vC73TiFIXwr+iCnu/TBIub4vqi6CziyDjYMgOo+jREE4tvt+X4J8/HzUSwXX+edj69dsls5O1Vy/sAwfiOu88Em+68Yi0IaSEMOp23qz0CWa0QBQ1EEW26IlLTaM4f/Ve9+/bty/9+/dn9uzZOJ1OmjdvTjgcplmzZgwYMACbbe8FhGRJ4pnH/sFpZw4jKzsbYzDA+PHjmTVrHt999zle72oglYipE1uiBgwSJJtNGBWZcOgMAoEoStSLpiWCtIG4uDOIRh1omobNFsbvL0eiPZGIm2CwDEnSY7FkIcs6VFVljdePSZa5LiMJWZLwuxvYsux3Mtq0a8w2FdpUhz7Vgn77Df3L9V/SwtWCnqk9AagbPx5dfDyO4cOb4LchCIIgnGrM7RLROY34FpejuEOEi7wYcx3YeqcjbZ8IrU+0gAaSQUaSpcYsSsKB0zmNxyzrlAg0hKNK8fqofPUV6seNxzV6NCkPPYg+Lm637SRJIvm+e/eZVvZwhaIhzPqdaVt3VL6O1gYxZtpJyMzGW1uDu6oSZ3LKHo8xceJEbr75ZhoaGhg2bBiKonDhhRfStm3b/Z6/qqqKv958E2VlZThdLrp07szPP/9M376tqKmZxaJQNhtCbjRJxhNVMUoS2QYdOjWZdi4rlZVh9Lr21GhbiJq9tEzqSsnmzYRCAXR6B5GIh0ikHp3Ojtmchry9wJ5PUakORbktOxmbXoeqRFk57WdMVhvt+g7Y/hkEUNxh7B1jFdYrfZX8WvgrD/d+GEmSUP1+GiZ+S/zllyMbxU1fEARBOHiSLOE8M5e6rzcQrQviGJCNrVcqaICq4Z5ZjHdhGfHntTgmNSBOFjqnkUiJ95icWwQawlHjmzePssf+SbS+ntTHHiP+yiv2GUgcySAD9tCjkWQBGcKFboyZdlr2PB2jxcqKaT/R/4rr9niMxMREJk6cSE1NDcFgkLi4uH32ZPzRBx98sL0dKkFVxShLmCQJr3cN88N5zAhZ6a6P0t0ik2o3EFJgWzjKMyGZAYEGoprKt6FslkabU1ATpn7datL1EnfoDPS367AqfkymVAwGVyw4UFVqIgo6CdrYzWRbYvMqtiz9nXAwQLcRozBarGiqSmB9HfpEM4a02LV8u+lbjDoj5zY/F4CGH35A9XqJu+yyQ/78BUEQhFNbpNpPqNCNMctBuNCDb14pSkMIFJVIhZ/QNjeJV7XD3DLuWDf1hKZzHruhU2LKvnDEKR4PZf98nMIbb8KQnU3z778j4eqrjnggsT8hJYRZt7NHQ7bosbRLxLugDE3TMJjNdBg4lFW//kIkvO9JVImJiWRmZh5wkPFHRlnCJEv4FRWPouJTVOaEsuhh13NpeiLZFjOyqmCVVXon2XmtTRJJVPC6uwfvN9joYDPxTNwsJreo5NHUGuZWFfN6cRTNmI7B4ESSJPyKwnKPn8JgEJ0kkWeNXfeGBXOZ8tbrxKWm4UyK9dq4pxbinlqAqWUckiwRUSOMXz+ec5ufi91oR9M06saOwz5wIMYskW1KEARBODiaphHcWId7eiyLVNL1HYi/tDX6FAu+xeWES33onEbSH+wpgowmoHMY0cIKaih61M8tejSEI8o7ezZl/3wc1e0m7ckniLv00mMeYOzw5x4NAFufdKrfX014qxtTcxfdRoxi5fQpzPj4PYbdevdhnU9TVUo3rcdksZGUnUPI70fW6TCYTJh1OnSShDeqsj5oJqpJ9HaC0+lEVe1IEqhaFE2N0sEIPxbX83OoGY+mR7g5J53SUh0mKjkzoz9x/glsUtti3X5t1aEI+b4Aekmis8OKTR/rfq4q2MqU/75Oi56n0WnIWQD4V1XHsnuMao4pO5Yxa8rWKVQFqrisbaz3IrhiBaH8fFL+et9hfR6CIAjCqUeLqvgWlxPa5sbUKg5btxQknYyteyq27qmoYQVJLzfO0RAO3x9racjJR/fR//h44hNOOorbTenf/0HRLbdiat6c5pO+J/7yy4+bIANigYZJt2taVlOLOPRJFrzzSgCIT89kyA23s3L6FNbMnH5Y51NVlaDHjaYqqKpKJBQkGtnZlWmQZVx6mQbViUVSwL8ef6gBAEmS0clGZNlMROdkaoNMki7Mjbl5mCxZ2O2tURQvoVAFmXYd52YlUhmOsrTBz0pvgDi9np4uW2OQsWHRPMb980Hi0tIZduvdSJJEpDpA3VcbsHRKwt43NjdD1VTeW/UeA7MG0jq+NQC1X4zFkJWFrV+/w/o8BEEQhFNLtC6IZ14J0foQtj7p2HumIel2fS6QjToQMUaTkp2xZ51jMXxK9GgITc7z22+UP/Ekqt9P+rPP4LroouOyeueeAg1JknAMyqbuqw34l1di7ZpCpyFnUbo+n1/e+T8iwSBdzjr7kK5HVRQADNsL6AGNE7R3LUCoQyfpkdCoq1+EzpiG2RiHrCmEgluJWLpQENKRaYhiNliRAJerB+7iz6jzrCGk6dgUsRLwBUkw6OlkMZJkNDTO06gtLmTKm6/RstfpDLvlbgxmM2pYofbzfHQOI/EXtWpsy7SCaWxt2MozfZ8BwDNjBu5Jk0h97LHjKmgUBEEQjm/BDXXUjl+HIdtB/EWt0Dv3Xn/peHxmOJHtyNR1LDJPiUBDaDJKfT3lzz+P+/tJ2AYOIP2ppzCk7b2y9rEWUkLEm+J3W27tkUJocz11X2/EkG7DkGpj2K13YTCbmf7hW5RuyGfQdbdgdboO6nyqoqAqCvodRYY0bedKTYPtN1a7LBHQQLN1xqIVEAgW4A1uQta5MFmaUa+YCUTDpBh1lIYBKURN2IWKHaM3H0WXQKIliSy7Dat+Z5aOSChEwOumsnAbA6+5kc5njowFH2GFugnridYESLmrK7JZv71JGu+ufJfT0k+jS3IXwsUllD78CPZBg4i/8oqD+7AFQRCEU5Kmanh+K8I9rQBz63gSLmuDbDXsf0ehycgmHZJJJ3o0hBOXZ9o0yp58Ci0cJv2FMbjOP/+4fyMRioYwWXd/oyJJEnEXtiRc6qXm83xS7uiCzmpg6I23k9mmHb+8+yYbFs6lzen96DRkOMl5zTBZ9z8JXAmEMdea0Qd0aMYosqJHinVyoAFaRAFZorvVyBxPkF/qFK5N70JmvBFVVVEARdXI0jQSLAlURGV8ikySUSbFZEBJ6Iu7/BNMWoCWzuTG3pJoOIyntgZPVSWutHRyOnTGvr3ieaTKT83n+Si1QRIub9OYZQpgdsls1tet58PhH6KGw5Tcdx86u52MF18QvRmCIAjCfqmBKLUT1hNcV4tzaA6OITli7sUxEss8dfSrg4tAQzgs0bo6Kp55FvePP2IfMoS0J55orO59vNvT0KkdZKOOxKvbUfnfFVS8uZzEq9phzLTTtu9Acjt3Y/WMaayY+iNrZ/+GLT6BLsPOQY1GcKakkJiVQzQcQW8woDebsDnjUWvDhFfUYZJNSCYdmgayKkFQQ9VHQY7V79DFmTBJcHG8lR89YcaX19JabyDDZCBqlFnc4GdIopNbc5tx65ptzK73cktWciyoM3cj7MhBUYNIkgG/x42npppAQz2SJGFPSMSRmNgYgPhXVVH31UZ0TiMpd3fFkLozyNA0jXdWvkPX5K70TO1JxTPPEFq/ntxx49C5Dq4nRxAEQTj1RMp91Hy2FsUXJfG6DljaJhzrJp3SdE4jikf0aAgnEPeUKZQ//QwoChkvv4xz1DnHfS/GH4WV8G5Zp/7IkGwl9S/dqPkin8q3lhN/XkusvVKxOJz0Onc0Pc+5gIqtm/HV1WC02qkvK8FgMqNEovjqa1EiEVBVEhOzMZboiZiiuF0NOPQKGhqqWUNCIxIJgwSSAaLRCKqikGfUc1mSiaXeIGv8QZYGAqRbTPRyWck0G2lhNXF9ZhKfldZQE44yyGXFicLCOi8rvAFuNK7BFQmhN5tJyMjEFp+ITr99SFRUpeGnrXjnlmLpnET8Ra2QTbveChaVL2Jl1Ur+O/S/uCf/QN3YcaQ9+SSWjh2O6O9EEARBOPH5V1RS99VG9EkWUm/sGKvuLRxTOqeJaF3wqJ9XBBrCQYvW1FD+9DN4fv4Zx7BhpD3xOPqkpGPdrIMWVIK7VAbfE32CmZTbu1A/eTN132zEt6QCe590LB2TkPQyaS1aAa0AyG7fcY/H8K2sJGoMIOeZsUQ0dEYjmqqiREPIZh2yToaIhqTXockaOr0eSZJJlWVGuqxIViuaBJpORVMVog11+CSJu6waySE9k6pq+bCoEqek0UYHgy0ySVY78Uk5WOyOxuBP0zS0iEL991vwL6sk7rwW2Pqk7zE4fHflu7RLaEevQBrbHr8X1/nnEXfZpYf3gQuCIAgnNU1Rafgx9iLL2i2FuAtbiorexwnZaUQpdB/184pAQzhgmqbh/uFHKp59FiSJzNdfwzFixAnVi/FH++vR2EEyyMRf2Apzu0S8c0qoHb8e2bYFa/cUDBl2DCkWdImW2GSrP30WmqrhX1aFJEEoFdz1laTmtcBgNlNdXIjZYiMxO5tQjYdofYioSyUY9eJMSt6eDSqKUhdEsumRLQY0VY/eZEZTFSRZ4nqbgxv1OlRFRZV1hPUGEsy7XpOqqqieMGpAAUUlWhsg+bbOmHKce7ze5ZXLWVS+iH/1ep6Se+/DmJVJ2hNPnLC/Z0EQBOHIUzxhar7IJ1zo2eeLLOHY0DmMqO7wn7JcHnki0BAOSKSykvKnnsY7fTrOs0eS+thj6BNO7PGWQSW4S2Xw/bG0TcDSNoFIpR/fwjL8yytRZ5dgyLRjbpdAtCaAKc+FzmVEi6igl5FkUGoC6FwmgjWe2PAlTYKohiM+EU9dDVWF2zD5TEgNKjRoWCQT0XIvUdkbO7EKplYuDEbTLjcIo8W6j9aCGlZQPCEUTwSiKrpEM7LRQPLNnfc5Ge+9Ve/RJ5hF3gNvEa2qIm/CBGTrvs8lCIIgnLpCBW5qPs8HIPnWTpjyxFy+443OGXs20YIKkuXoPf6LQEPYJ03TcH//PeXPj0HS68n89xs4zzrrWDerSRxoj8afGVKsxJ3bgrhzW6CGFFRvGFXRUOuCyFZ9LINUQEGNqmghFS2qoXjCBErrMWY50QIKUU3FItvQOWRCkSCaqqHZQXYZYxmsVA0kGdUTJlobRItqqMHYpHFNJ8fmdEgSaFpsnS+CGlbRIgpaVIWwihpVkc06dC4TOqcR2bD/7uv8mny0KTO49xcdUm4z8v43AVOzZofw6QqCIAgnO03T8M0vo37yFow5DhKvatdYs0E4vuysDh5CFoGGcDyIVFRQ/vgTeGfOxHnuuaT+/VH08bvXnTgRaZq2z6xTB0o26ZBN2ye5pez5rX9waz2BpZXUmErIbZ+G3m5E0iQ0VcNs0mPSHITrG5BMOgxOK8hsz3cLmHXINj1aRCHaEAJNQ9LLqIEoaiCKZNCBqhKp8AMgmfSxeR8mHfpkC4YE825VV/dGDYXIf+Re/jJbxXH+KDKefBLZIibwCYIgCLtTwwr1EzfhX1aJvW8GrrObHfD3jXD06f5QHfyPWSaPNBFoCLvRNI2Gb76h4oUXkc1msv77HxxDhhzrZjWpsBpL8Xa4gcaBqLAVY1ZUcmpakpLYDJ0pVqhI9UcJlXgwtYojUh1A5zBgahGHrJfRVA1JlggHoqieCMYcZ6yQnhor8ifbYl2gkg6QJYyZDiSj7pDzk4eLi9ly9x202FhE6V3nM+TuMWJsrSAIgrBH0ZoANZ/nE60OkHB5G6xdT4y09qeyHT1NR7tonwg0hF1ESkspe/wJfHPm4LrwQlIfefikrJsQUmJFa45GoNFmyECCrevwzSgjvLoetSwIKrEUt94I5lbxaMEoUpyJxmf77f9V/RGiNQFkWUbW/+lNURN1Nnh++43Shx/BbYzy31uTeffOp0WQIQiCIOxRYF0ttePXo7PpSbmr6y6FXoXjl2SQkSz6o15LQwQaAhDrxaj/cgKVL7+MbLeT/e472AcMONbNOmJC0Vigsb/0tk1BlmWsOYmYRjuI1oViFcBVLTZUKtWKJEsYsx3o4kywvUdix4O+GlTQQgoYmrY7WtM0AkuWUDd2LO4ff0LX/3T+2nMpdw647ZDmrQiCIAgnN03V8PxaiHt6Iea2CSRc2uaojvUXDp/OGcs8dTSJfyEC4eISyv75GP75C4i75GJSHnoIncNxrJt1RO3o0TiaD9U6uxGdfc/ns3ZK3uNyc5t4THlO5CYKNBSvD/ek76kbO47Qxo0Y8/JIe/IJ/p29Dn3xFka3Gt0k5xEEQRBOHqo/Qu2EDQTX1+I8MxfH4OxDHqorHDs6pxHFHTqq5xSBxilMU1Xqxo2j8tXX0MW5yP7gfex9+x7rZh0VR3Po1OGQDTo4gGxR+xOurCSwaBHljz+BGgziGDqE1L8/ivX006nwV/DtNy9yd9e7sejF5G9BEARhp3CZj5rP1qIGoiRd3wFzmxM7tf2pTOcwEq0OHNVzikDjFBUuLKTsH4/hX7yYuMsvI+VvD6KznzrjLE+UQONwKKEQkW3bCK5eQ7SmmlBhIQnXX0fcpZdiSEtr3O6TNZ9g1Vu5rM1lx7C1giAIwvHGv6ySum82ok+2kHxzJ/QJR364sXDk6JwmQlsajuo5RaBxitFUlbrPP6fytdfRJyWR8/FH2E4//Vg366gLK0cv69TRpPp8eObMwT9nDoGVq5AMBiw9uuMcPpzE669HMu46dKsmUMNXG77iho43YDfaj1GrBUEQhOOJFlVp+HEr3nmlWHukEn9Bi1g6deGEpnMaUTxHtzq4CDROIeGCAkof/TuBpUuJv/pqUv56H7Lt1OnF+KOgEgROjkBDDQTwzpyJ+8ef8M6ciRYKYe7cGdf55+McfhaGzMy97vvZ2s+QJZmr2l11FFssCIIgHK8Ud4iaL9YRLvYQd0FLbKeliUyEJwmd0wiKhuqPorMZjso5RaBxinD//Atlf/87usREcj/7FGuvXnvcTlE1qjwhHGY9NtPJ+8/jRO/RUMNhgvnriJSVUvXv/yOyZQvmDh1I/svdOEaMwJiVtd9jNIQaGL9+PJe1vQyX6eRLYSwIgiAcnNDWBmrG5iNJEsm3dcaU4zzWTRKakC4xNvRNcYdFoCE0DS0SofKVV6n95BMcw4eT/tyz6Ow7h8hsqvQy4fci8svcFNcFKK7zE1FiReESbUayE6zkJlo5s10qwzukYfxzLYcTVDAa69E4kVK5qpEIoXXrCKxYQWDNWiRNxdSpE/FXXIFj4ACMOTkHdbyx68YSVaNc2/7aI9RiQRAE4USgaRreuaU0/LgVU56ThCvaNhZ4E04eOpcJ2WlE9YQh/eiMaBGBxkksUllJyb33EVi1itS/P0r8NdcgSRIRRWXa2go+W1DAvM01JNqM9MyL58x2KeQkWMmMt+AORCms9VNU62dDhYe/jFtGkt3EFb2zuaJ3DhlxJ3Z2oh2TwY9GHY3DoUajhNavJ7B8BcE1a9BCQfTpGTiGDsHSpQuG5D2nxd0fX8THF/lfcFGri0iyJDVxqwVBEIQThRpWqPtmI4HlVdj7Z+Ia0QxJJ4ZKnYxkkw5TyzgU79GrpSECjZOUGg5TfOddRCsqYkOlunUDoLDGzx1fLGFNqZteefG8cXlXRnRMw6Tf9ySvDRUevlxcyNdLihm7sICHhrfl0l7ZJ+y4zR1Dp4zy8ffGRotGCRcXE9q4ifC2rWihMLrEBFwXnI+pRQv0iYmHfY4J6yfgi/i4oeMNTdBiQRAE4UQUrQ5Q8/laorVBEq5si7Xzob28Ek4Mkk7GkG6DoxhIikDjJFUxZgyh9evJHTcOS8cOAExdW8H9E5aTYDMy8c4z6JYTv8s+0YiCpyaIpyaI0aLHmWTB4jAgSRKtUx38c1QHHhrRlpnrK1lSUM/3K0oPKEg5HgWVICad6bgJlLRIBN/ixXin/4pvwQK0YBBj8+bYBw/GPrzvQQ+L2pdgNMgnaz7h/Bbnk2ZL2/8OgiAIwkknsLaG2gnr0dmNpNzVFUPqqZkc5lSjBRXkpKP33CYCjZNQw6RJ1I8bT9pTTzUGGW9M28jr0zYwvEMqL1/SBac5Ngko4A2TP7eM/Hll1Ff4dzuWwaQjr3MSnQZnkdbMiUmv46wO6aQ4LXyzpJhNFR5u7t8cl/X46xnYl7ASPubzM7RoFN+Chbin/IR36jSUhgaMubk4zh6Jc+RITK1aHZFAaOKmidSF6rix441NfmxBEATh+KapGu5pBXh+LcLcPpGES1sjm8Xj4EmpvhDidn1RKRlkoh4xdEo4RKFNmyh7/Alc559H3KWXADBpRSmvT9vAX89szT1DWyJJEkpEZd7ETayZVQpAyx4pdB+egzPJgiPBTCgQxVMdpLbMy7r55fzw5gp6nZNHs67JOBMtdM2OI81p5j+/beLDudv4y9CW6OUTZ6L4jh6No02LRvEvXoz7pyl4fvkFpb4eQ04OcZdfjnPkCExt2hzRXpaIEuHD1R8ystlIcpxN10siCIIgHP9Uf4Sa8esJbazDOSIPx4AsJPn46NkXmpCmQf4k+PkfkHM6XPRe4yrZokepDx21pohA4yRT+drrGFJTSXviCSRJYlOll0e+Xsl5XTIagwx3dYCf31tNdYmXXmc3o8OADCz23d/uJ2c7aN4tmR4j8ijeUEdtqY+lUwpo0SOFrDbxpLnM3NA3j39P38ik5aVc2H3/KVWPF2ElfNQCDU1R8P++BPdPP+L5ZSpKbS2GrCziLrk41nPRrt1RG8I1ectkyn3l3Nzx5qNyPkEQBOH4EC7xUvNFPlowStKNHTG32nX4tKZp1IfqKfGWUOItodRbSqW/kgRzAlmOLDLtmeS58nAaRcrb41okALNfhYo1oISgYO4uPRuyRU+k3HfUmiMCjZNIpKQE74wZpD3xBLLVSiCscOcXS0iPszBmdCckSaK+ws9XL/2OyaLnogd7kJK7/xuGJEtkt00go2UcG3+vIH9OGUFvhFY9U2mebOeCrpl8s6yE5sl2umTHHfkLbQIhJXREAw1NUQgsXYr7pym4f/kFpboaQ0YGrgsvwDliJOaOHY76/JCoGuX9Ve8zNGcoLeNbHtVzC4IgCMdOYH0t1Z+tJZiqEbzEwRr5d0rXlDYGFDuCi0A00LiP3WAn2ZpMbbCWhlADAHpZz1m5Z3F528vpmtz1uJnnKGxXXwjTngRPOdhTIBqCgfftMnxKtuhRA1E0VTsqvVki0DiJ1E34H7LVimvUOQB8tbSYTZVeptw3AJtJTySsMOXd1VjsRi56qAfmgyzWotPLtD09HaNFz6bFlbiSLaTkOhnYJpn1FR6+W15Cp0wX8gnQDRuKNn2goakqgeXLY8OipkwhWlWFPi0N16hROEeOwNy58zG9Kf+y7RcKPYW8NPClY9YGQRAE4cjxhD279EiUeEsori2isHALlS1r8EkBmBXb1qK3kGnPJNOeSe+03mTYMxp/zrBn4DQ6G7+zdhx3YdlCJqyfwLU/XUvHpI483OthuqZ0PXYXLOy0aTrM/Vds2NTpd0J9AdiSofctsfWqArIuNh9HAy2kIFmOfBggAo2ThBoOU//VV7guuADZZkPTND6fX8Cw9qm0TnUAMPvLDTRU+rn4kZ4HHWT8UbPOSTRUBlg9s4TTLzBjdRoZ1j6Vf03byPoKD+3Sj/9u1abq0dA0jcDy5XimTME95WeiFRXoU1JwjByBc+RILF26IB0Hc1dUTeW9Ve/RN7MvHRI7HOvmCIIgCIfAF/Ht1gvxx797wp7Gbc06M5n2DBKrHXRUWtGyy8VkxWc3BhJxprgDfvnlMDpom9CWtgltuab9NSwsW8jamrX8VvQbESVCz7SeonfjSPHXgKcC/NXgqwIlArYksCZv/28iLH4f1n4Hcdkw+B8Q9sIP98PQJ0BnAFUFOZZpSrbGHv3VQBRZBBrCgfJOn45SU0P8FZcDsHhbHesrPPxzVHsAGqr85M8tY8DlrUnMtO/rUPslSRIdB2Yy96uNFKyu5tuZn/DNN9+wcs1aPjaZGTKwPy+++CJt2rQ57Os6Ug4n0NA0jeCqVbFhUT9PIVpahi45CefwEThHjsDSrdtxEVz80W9Fv7GpfhOP93n8WDdFEARB2At/xE+pt5RS3/bgwVPS+PdSbyn1ofrGbY2ysbEXonNSZ0bkjdilRyLBnED9t5vwbasg5Y6uGA/zu38HWZLpk9GH3mm9mVU8i8lbJ7OpfhOjW43GpD/6SVZOSkoESpbA5t+gZuP2hRJYEmKBg78G1Eis96JyLUT80HYU9H8AjDb45hbocQN0uyq2q68KlDAs+xzZ0QzoihqIHpVLEYHGSSKwajWGnBxMLVoAMHZhAc2TbJzRIlbcbfWsUkxWPe3OSG+S8xmMOrLaxFOwpoYZv83grrvuQpfagp9WllL928ecddZZrF27Fpvt+MzLHVJCB3VD1DSN4Jq1eKb8hPunKURKStAlJuIcfhaOESOw9uiBpDs+64lomsa7K9+lZ2pPuqV0O9bNEQRBOGUFo0FKfaWxXghPCSW+ksa/l/pKqQ3WNm6rl/Vk2GKBRLuEdpyZc2ZjEJFpzyTRkogs7f2lVmBNDb6F5cSNbtlkQcYf6WQdg3MGk2JNYdy6cSDB5W0uFz0bh0PToGQprJwA/ipIbgu9b4P4PLBuDzIg1kMRrI/NxVjyCRQvgpAHNvwMRktsm5T2ULYSFrwFJhsULYK6AiRAn/0Gaujo1NESgcZJIlJUhDE7u/HnlcUNDGqTgixLKFGV8i31dD0zG71x7w/DCxYs4Mknn2TJkiUkJiZyzTXX8PDDD6PX7/mfSWabeLYsr+b9f48ju20CnmCExfWruXnMvxnavTVLlixhwIABTX6tTSGshLEarPvcRtM0Qvn5sZ6LKVOIFBWhi4/HcdZZOEeOxNqr53EbXPzRvNJ5rK1Zy7vD3j3WTREEQTiphZUwZb6y3YKIHX+vDlQ3bquX9KTZ0si0Z9IqvhWDsgftMk8i2Zq8z0BifzyzizE2c2HrdWQfKDskdeDi1hczdt1Y8px59Mnoc0TPd9IKuuH7e0BToOuVkNYZXJl73laWY4GHNQHOfhFCXqjbCpXroGItxLeAaAC2zYY2Z4MzAzJ6gBJGkiRMUtujMmwKRKBx0ggXF2Pp3BkAVdUorguQmxh7kA56w+R2SKJVr5S97r9w4UIuv/xy6urq8Pl8VFdX89hjj7FkyRK++eabPe5jsRtxJJhwV8eyVDjMBpxmPZuKKwFISEhoyktsUkElSLw5frflmqYR2rAB908/4flpCuGCAnRxcTiGDcP51JNYe/dG2kvgdbx6d+W7dErqxOnppx/rpgiCIJzQIkqEcl95Y+BQ7CnepYeiMlDZuK0syaRZ08h0ZNLM2Yx+Gf3IdGQ29lIkW5PRy0fm+yRc5iO8zU3CVW2PSg9D15SubHNv4/vN35PlyCLbkb3/nYSdqjbAuMtjQ5wufAfajDy4/U12SOkArpzYsCp/DbiyY8eRdbDmu9gcD2cmtDoLdV01uqI5kD7iyFzPH5xYT0zCHmmaRqSoCNc5ZwNQ4QkSVlSyE2LdZyF/FF9DCMM+Kn8uW7aMq666ilAoRDAYpKGhgZqaGsrLy1m4cCGnnXbaHvezOowEPJHGn9NdJt587J/07duXjh07NuFVNq0/19EIbdyI+6fYsKjw1q3ILheOM4eS+s9/YjutN5Lh0CfPH0u/l//O0sql/N+Q/xPd2YIgCPsRVaNU+CtivRDe7fMj/vD3Sn8lqqYCICGRakslw5ZBlj2L09JPawwiMh2ZpFhTMMjH5rvDt6AU2WHE0j7xqJ1zVPNRbK7fzNSCqdzY8cajdt4TXqAexl4COhPcOgMSWxzacWQZLC7odRNsnRmro6GpULwYIkHIPR2aDYLaLRgrJ6FzrwZdOfS4vskuZU9EoHESUN1uVK8XQ1asYF5hjR+A7PhYj0YoqKAq6l4zTQUCAWbOnInBYMBsNmMymUhLSyMvLw+9Xk8gENjjfgBx6TaqCndmuZj81rMUblrP6qULm+ryjoigEiSxIkDVm//BPeUnwps2IzscOM48k9RHH8F2+ulIxt2LGJ5o3lv1Hq3jWzMwa+CxboogCKeYSCiIr64Oq8uF0bLvoapHi6IqVPor9xhElHhKqPBXoGhK4/YplpTYcCZHJj1SezQGEZm2TNJsaRh0x99LKDUYxb+sEnv/LCTd0UtMopf1DMgcwH1/v4+bPr5pl3Vt2rRh3bp1e9wvGAxy++23s2TJEvLz8xk1ahTffvvtUWjxcUDT4Lu7IFAHt82KzcU4XDoDNB8EZStg9TexGhodLoDU9rBtDmybi4SOSPJ5GIt+gfjm0PzIDXMXgcZJYMcDsRaKlZT3BGOZBOKsseU6vUQ0pKKpGuyhxoVer0eWZSKRCJFIBI/Hs8v6rl277vXcVqeBlNxY+ty7776bpXOnc/4/3iEh5ehMMjpYoa1b8UyZwt1fbia9PJ9amw3HmUNJeeABbH37Ip8EwcUOq6tXM690Hi8PeFn0ZgiCcMRomkbJ+rUUrFxGQ2UFDRXlNFSW46uva9zG4nThSknFlZJGXGoaWW07kNu56TP0qZpKlb+KUt/2YU07MjhtDyjKfeVEtZ3ZdpIsSbFAwpZJl+QujX/PsGeQbk8/ooVdj5Tgxnq0sIqtZ+ohHyMcDjN16lS2bt1Kamoqw4cPx+ncf+r6Lild0Mt6clvlsmDWgsble5vrCaAoChaLhXvuuYevv/76kNt8Qpr/H1g3GS4f1zRBBkDYD8u+iM3bMNpi8zzicmJBR8UacGagpJ5O2JuIsXkGLPssFoTYkprm/H8iAo2TgGyxoEtKIlxUDEBEiXXrGre/yTBbDWgaBLxh7HHm3fY3GAx07dqVpUuX7n5sWaZnz557Pbe3LoTJoufuu+9m4sSJfD1pChM2RCmtC9Bye/2OYy1cUNA4oTu0bh2y1UpxKz2VV53Jpdc+j2w68b5IDsS7K98lz5nHsNxhx7opgiCchMIBP/lzZrD8lx+pLtyGxekiPj2TuNQ0cjt3xZWShj0+EX9DHQ2VFdRXxgKQkvzVLJw4gbjUdLoMG0mHwcOw2A/s+0LTNKoD1XutJVHmKyOi7hzOm2BOiA1ncmTSPqk9mbZYj0SGPYMMWwZm/e7fiSe6aE0AyaRDF3do321Tp07luuuuo6ysrHGZ3W7ntdde45ZbbtnnvkadkXRbOhvYQFragb1wtNlsvPXWWwDMnTuX+vr6Q2r3CSfsg5kvQu9boe3ZTXdcozU2Z8PRFVI7w9qJsPi9WNVwozM2tKrci1bXgJbSDsmaBJX50Kx/07XhD0SgcZIwZmURKY4FGuHtgYZBH3uLbdpenMXfsOdAA+CGG26gqKiIqqqqxmWSJHHllVeSmbmXrAdAKBDl6VceZeL3X/Hdd9+Rl55I8Pe1rNpkINPZAovF0iTXd7DCRUW4p0zB89MUgmvXIlmtOAYNIumuO7H3788t357FtR3anbRBRpW/irAS5s6ud6KTj//MWIIgnDjc1ZUs/v4b1s6aTiQYonmP3gy85iZyOx5YgVJN0yjdsI4Vv/zAnPGfMvfLz2lzxgB6nXcRCZlZ1AZr91qQrsxXRkgJNR7LZXI1ZmkanD04NqzJHptwnWHP2G92wZORUhdEn2A+pJ7sxYsXM2rUKMLh8C7LvV4vt956K1arlauuumqfx3AZXdQU1ZCekY7FbKFPnz6MGTOGnJwcAK6//nq2bdvGjBkzDrp9J5VV/4ulpD3jL01/7M6XxeZsFMwHbzmgo8TWhYefeoGfLvsX/mCY5hm5fPTqQ/SOFsSCkz245557mDt3LqtXr6Zdu3YsX778oJsiAo2ThCE7m3BxEQARRYst296jYbTosbqMlG9uICV3z12fSUlJjBkzhl9//ZWtW7dit9vp168frVu33us5/e4QSkjl488+AGDQoEGN694DPvroI66//vrDv7gDFCkpwT3lZ9w//URw9Woksxn7oEEk3nYb9gH9kf8Q9ISUEEb55Bkm9WdziufQL7Of6M0QBKFJbVm6mJ/efBVJp6PbiPPofOZwnEl7z2j4Z5qm0RBqoD5RRX9uZ6x9bKzesIiplV/R8N1nBBwQ0nY+5DqMjsZAon9W/8YgYkf2Jrux6etDnOiitbFA41A88sgjuwUZf/TQQw9x2WWX7XMo1Bl9zqDcUc7dw+9GbVB56qmn6N+/P6tXr8bhcJCeno6qqofUvpOGpsWqebceERvWdABqa2vJz8/H5/ORm5u776LIshzLPLXhZzDHURdQ6Hv9Eww+rRM/PdSaxK7nsW7pKhLql0N2Htj33vt04403snDhQlauXHlw17idCDROEoasTHzz58cyUG3v0dBvn48hSRLZ7RLYsKicoD+C2RqbvBbyR9iyvIr4dBtpzVzYbDbOPffcAz5nTYkPo1WPoqjIf5j78fn8Aso9Qa4/68hXBo+UlcWCiyk/EVyxEslkwj5wIIk33Yh94EBk656j9MOpDH68q/JXsaB8ARe0uOCIpU4UBOHUoqoK8yaMZeHEL2nevRcj73oAs33PD/nesJcSbwnF3uKd8yS8pRR7Y3/3R/2N29oMNjLtmeSldEHZVk1oTRkdWw1i+LnXkx2fi9O4/3kBwq6U2iCGDgefbSoUCvHbb7/tc5vS0lJWrlxJ9+7d97rNRedexJrkNaS3SKdjckdOO+00cnNzmTBhAjfddBNjxow56LaddKrWQfkqGPLP/W4aDAa555572LZtG/3792fjxo1EIhFatGjBPffcQ0rKXgJ9ayJ0vRwsCbx41/VkpyXw0YTJsOlXtC0zadZejs3f6HLBXut1/Pvf/441t6pKBBqnOnvfvtS89Tb+BQuIkI5RJ+/SbZre0sXG3yvYsryK9mdkAOCuDrJ8WhHNOieR1swFQMATZsH3W3BXBRh0VRtcyXt+UA96w9RX+MloFbdLkAGQEW9mWVEdqqrttq4pRCoq8Pz8M+6fphBYtgzJaMQ2oD8Zr7yCfdAgdPZ9VyOPqlEUTTmoyuDHm4gawSAbUDV1t4JOvxX9hsPgoGf63ufWCIIgHCh/Qz0//Ptlitasot/l19L7/It3GyK1oW4DE9ZPYGrB1F2qW1v0lsZq1r3Seu1S2TrTnonT6Gz8rtI0jdW/TWX6h2+xdNP7ZN3/KKSIQONgqUEF2XTwj3dutxtN0/a7XUNDwz7X75j3EojGMlbGxcXRunVrNm3adNBtOmlVb4j9N6vXfje97bbb+PTTTzGbzSQnJ9O6dWvWrVvH5s2bef7553n++eex7uWlKsltAfh+ziqGDziNSy65hJkzZ5KZkc6NZ13MbffehDExHjSNJ596io8//pht27Y10UXGiEDjJGHp0QNTq1bUjR1H+NL7MOh2fcA3mvW07p3KunnlxKVayWgRR9AfwWTVE5++88F868pqqgo8SBIUra3FNdCKpmpIfwgYlKhKwZoaTBY9cam7/+POjLMQUTSqvCFSnU0z0S5SWYnn519wT5lCYMkSJIMBW79+ZLz8EvbBg9Ht5c3anoSVWLfwidqjUe4r57E5j/HywJd3KzpYF6xjWcUyRjYbeczytwuCcPLw1dcx7p9/IxIKcfFjz5LTsXPjOlVT+aXgF8blj2Np5VKSLEmc3/J82sS3IcuRRZY9iwRzwgHPFZAkiU5DziKlWQsmvT6GL/7xAFeP+RfOpOQjdXknJV28CaU+tP8N/yQ5OZmkpCSqq6v3uo0kSfseskPsewho/H7yer1s3ryZa6655qDbdNKq2wZGB1h2Lxz8RytWrODTTz8FYj0bU6dOJSEhgZycHAoLC6moqGDq1Kmcf/75+zzOluIK3hr7Pfff/wB///vfWbx4Mffecy+WtGRuvu9WkGWSkpJo0eIQa3jsw9FLsCwcUZIkEX/lFXh+/RW5ugqDfvdfbXa7BNKaO1k7u4T6Cj/++hCqomF1xOYq+BpCbFhUQceBmWS0jqe2zL/bMRRFpSi/lkhIIadjAro9nCcjLjYXorR+7/U3DkS0uprasWMpuOZaNg0cRMVLL6Gz20l/YQyt5s4h+63/4jr33IMKMiBWQwNO3EDDH/FT5CnihUUvNN7QdxSQmlE0A5PexGnpey6wKAiCcKDCAT/fvPAkSiTCVc+9tkuQ4Q67ufe3e3lw5oPIkswrA1/hl4t/4f4e93NO83PoktyFREviIU1ITm3WgiuffRW90cjkf72AEo3sfyehkT7eTLT20L5/b7vttn2uP++888jIyNjnNg8/9DBFy4vwVnqZN28eF154ITqdjiuuuAKARx99lGuvvXaXfdauXcvy5cupra2loaGB5cuXH9LE4xNG3bZYOtv9/P/x888/7/JzVVUV06dPR6/XEx8fC1JWrFix39Opmkb3tnk8P2YM3bp149Zbb+WG0Vfz3mcfxOZzECtRMH369EO6nH0RgcZJxHnuecgmE6mzfmqcCP5HkiTRvl8GjgQzi3/YSsnGeiQJLM5YoLF6Zgkmq568Tkk4E82Eg1EC3nBjb0YoEGXr8io8tUGy2yVgtu15MrXDbMBp1h9SoBGtraVu/JcUXHc9GwcMpOL5MUhmM+nPPkvrObPJfudt4i64AN0B5PPemxO9R6N5XHP+2uOvzC+dzyu/v0JYCSNLMu6Qm8Xli+mf1f+EHhYmCMKxp0SjTHr9BerLS7nwkSdxJu8cB55fk89lky5jScUS/m/I//HRiI8Ynje8SXtRrU4X593/d+orypk34YsmO+6pQJ9gJlobPKR9H3/88V0Su/xRy5Yteeedd/Z7jMKiQiY/PZnTOp/GpZdeSmJiIgsWLCA5OdYzVVZWRmFh4S77nH322XTr1o1JkyYxY8YMunXrRrdu3Q7pGk4IIQ+Y9p/SeU/D1PLz85kzZw7p6emYTCb8/t1fCv9ZekoS7ZvtOuG7TfNWFJUWH3ibD5EYOnUS0dltuC68kOxvJpJxdvs9bqM36ug1qhkbFlawdEoBUUXF7w6hqjbWzinljItaYnEYyGgVx4rpRYR8UTQVSjfWoQGaqtGyRwoW+74zNmXEWyg5wEAjWleHZ+pUPFOm4Fu4CADbaaeR/vRT2IcORR+/767FgxWMxm7ARt2Jm3VqRLMRJJgTeHze47y0+CXu73E/s4pnoZN09Mnoc6ybJwjCCUzTNKa++yaFq1cy+tEnSclr3rju18JfeXDmg7SIa8F7Z71HliPriLUjrUUrzn/gH2z+fQGVBVtJyW12xM51MtElmFHqQ2iKetCVwY1GI1OnTuXf//43n376KVu3biUtLY3Ro0fzyCOP4HK59nuMi566iEukS7ity557Rz7++OPdljX1vIDjnisbChfsd7N27drtcfn8+fNJTk6mS5cujT0b+9K3ewfWF5bssmzjlk3kZh1YxqvDIQKNk0zyvfdQ9PN07pzxPmr4gj1WupZlmbZ90tm8rJK6cj/r5pWzePJWNE1Dp5co2VBPNKwQCSss/aWAaFjFbNfTtk86iRn2PQ6X+rPMOAtLC+r3ul71+Qhu2ULNe+/jnT4dNA3rab1Je/xxHMPORJ+QcDgfwz7tyMFu1p2YhZo0TUNDo1daL27seCP/XvZvdJIOX8RHv8x+WPWnXt54QRCazrz/jWXNzGmcffcD5Hbq2rh8a8NWHp39KAOyBvDCgBeOSq9wRpt2VBcVsHLaFM645Eqszv0/6J7qjJl20CC4qR5Lm4P/LtXr9dx///3cf//9B71vmbeMre6tXNVu37U2TnnxeeAugWgY9Ht/6Tl69GgeeOABKisrd1keiUSYPn06SUlJ+61rAvDXa87hjCsf5Pnnn+fSSy9l4YIFfDTxc/77ypuN27z55ptMnDhxl+FTmzZtwuv1Ul5eTiAQaBzO1r59e4x7eL7cExFonGR0Tifzrv4bg//vEer+9z8S9/IPMByIIkkSmW3i6dg/g29fW0Y0ovLLB2uRdRIGo46QP4KnOkiPs/NIa+FCfwABxg7ZCVbmbarBH45iNcb+mal+P4H8dQRXryJSUopkNEA4TNo/H8MxbBj6xINPx3codgydOpF6NDRNaxzrLEkSErG/X9rmUmwGG88vfJ5Uayp/6/m33bYXBEE4UCunT2HB1+Pof+X1tOs/uHG5P+Ln/hn3k2ZL47l+zx21oaeSJNFh4BB+/egdtq1cRvt+g47KeU9khkw7hgwbvvllhxRoHI4FZQtwGBx0SOxwVM97wonPBU2F+gJIarXXzaxWK19++SXnnnsuXq93l3X19fW0b9+e5s2b72XvnXq1SmXiOy/w6Ouf8PTTT9Msrxkv3PskV111ZeM21dXVbN68eZf9br75ZmbOnNn4847hbFu3biUvL+9ArlQEGiej6rRcvul/JbeuXo1/1SqsnTrttk3AG0GJqBiMOiq2ujFa9Fz5VE88NUEaqvx460JUbHXjqw+R1Sb+gFLe/VFWnIU4q4HqGg/JtaWE1q0nVFAAqoIxMwvnyBGYWrQ4rLkWh2rHZPAdKfhOBKqmUugupJmrGXXBusZsHhE1wpCcIXyx9gsKPAX8WvQro1uNFkGGIAgHbcvSxUx7/790Oescep130S7rnlv4HCXeEsadM+6oV9vWG01ktetI8ZpVtD69L3q9yKi3L5IkYT89g7qJGw+reN/BKnIXsah8EUNzhooaTvuT0Q0MVlgzEQY+tM9NBw0axJIlS3juuef47bffCAQCdO3alb/+9a+cffbZ+z+XtxJCHkZdcDGjboy9jIzWBQnk1yBbdv6ennzySZ588slddm2K6u3iX8JJKKKorOk8AFt2Le7vv0epqsI+ePAuD5++hhA6g0x1sZfSjfV0HJiJzWXC6jCS1jzWNb1pSSXzv91M0BfBbDvwG7vi9WGYM4uct77EV7ORQDSKpUtnHEPPxD5kMIa9FZc5Sk7EyeCTtkzitd9fQyfryHXm4o/4yXPl4TK6qA5UY9KbSLYm8+S8J3EanZyZe+axbrIgCCeQ8k0bmPSvF2jRozdDbrh1l++L1dWr+X7z9zzb91laxDV9+ssDkdOpK1uX/U7ZhvVkt+94TNpwIrF0Tab+xy34FpXhGnHk57b4I34+z/+cTHsmg7IHHfHznfDMLuh0Cfz+EfS7H3T7fhxv3bo1n3zyyaGdq3ItGO27VCCPNoTQx5uRDLpDO+ZBEIHGSSisqDjNepxnn41kMuP+4QfC27YRf/nlSGYLkizhbwgTjag4k8xYnUZa9tj+8C/tHHZjcxlB09i8tJIO/TP3ORxH9fnwzJiBZ8oUvDNnoYXDJKQ2Z3GfUVzx4A0Y0vZe3v5o29GjcSINnVpYtpC/dP8LDoOD/Np8ANbWrMUdcrO2Zi0RNULLuJaY9WbaJMRynIvhU4IgHIi68lK+efEpknObcfY9DyLLuz58jF83ngxbBqOajzrgY4bDYdavX09JSQmpqam0bdsWi8VyyG20xyeQlJNH4arlItA4ALJRh61HKr5F5dj7ZqJzHLnvO1VTGb9+PCElxO3tbhe9GQeq182w9BNY/yO0P+/InCMahJpNkNG9MY2tqqio/iiyWb9LjbQjRfxrOAlFFA272YCk0+E8axiGzAzqxo2n8vV/EXfVVegzslg9qwS9Qab/Za0xGHd+qfzxwTQ+3UaL7ikYzXv+Z6KGwwSWLqVu3Hi8M2eiBYOYO3cm+b77cA4/i/fmVrG5yse1x1GQATt7NE6UyeAzi2ayuX4ziqpwQcsLuLvr3Rh0sR6mX7b9Qpwpjnt73EtUiWIz2kgwJ+yxYrggCMKf+d0NfDPmCcw2Oxc+9DgG4649vfXBeqZsm8LtXW5HJ+//7aff7+eZZ57h/fff36Xwm8Ph4Nprr+Xpp58m4SCTffznP//h5ZdfprysjNy0VN5yJTJkxMg9bjtjxgxef/11Fi1ahNvtplWrVjz44IMHNGH2ZOMYlI1/ZTU1Y9eRfHMnJF3TP1RqmsakzZNYX7ueGzrcsFsRWWEf0jtDbl+Y9gQ0Hxjr5WhKmgYF8wGpsUI4gFofJFLiwd5n3/VQmooINE5CkahKnHXnUCdLhw4Y/noftZ9+ysLXvmeL1hprvJleV3ZAr5f3+ubbbDNwxuiWjT9LkoQaDhNct47A8uWogQCeH39C0utJvvsuHCNGYMzameqwfXqIn1aVo6gauqMQNR+oHVmnTpQejZbxLRnZbCQrqlbwr6X/IsOeQf/M/gzKHsSiskV0T+lOui19l31EkCEIwv5EQkG+ffFpwoEAVz77ChbH7nPmvtv8HYqmcGHLC/d7vKKiIs4++2xWr1692zqPx8N//vMfJk+ezOTJk+nY8cB6Jb788kvuv/9+3n77bXr17Mnfbr+FCy+9jI2bNpGyh2G48+bNo3Pnzjz88MOkpqYyefJkrr32WlwuF6NGHXiPzMlA5zCSeEVbqt5fiXvqtiMyhGpW8Szmls5ldKvRtE1su/8dhF2d/ya8Mwi+uwsu/Wy/BfwOStU6qN4AzQeDMTavStM0/GtqkIw6dPspU9BUJO1gZ/kKx72bPl5MXpKNf47atZaGFo3iXbaSyllLUIoLcLgM2E4/DVOrVugSE9E5nUjyrg+oUV8Atb6WaGUlwTVrCKxZC+EQ+sxM7AMHYkhPx7iXKqFzNlZz9QcL+fWBgTRPPrjq3UfSl+u+5IVFL7Ds2mXHuikHpcJXwczimSwoW0CFrwIARVN4uu/TtI5vfYxbJwjCiURVFL579TmKVq/ksidfILV5yz1ud9vU29DLev4z9D/7PF44HKZfv34sXrx4v+du0aIFS5YsOaCaDKeddhq9evXizTdjaTinffg2Vz38T/76wAM88sgj+90f4JxzziE1NZUPP/zwgLY/2XhmFtPw01YSr22PpX3TZXdcWbWSH7b8QJ+MPmJexuFY9wOMvxLOfAr63dc0x/TXxSaaJ7aE5gMaF4fLvHhmFOMYkBVLg3wUiB6Nk1BYUXGYdu/ilvR6HL264+jVnXBpKb558/DOnIVn6tTYBjo9+oR4dPHxqIEgSk0Nqt/XuL8+PQPH0CFYOnc+oAnd7dJjVS/XlXuOq0AjpIROmN4M2DnXItWWyqVtLmVIzhBmFM3g49UfE1bDvL7kdfpl9mNE3ggSLUcnRbAgCCcuTdOY/uFbbF32Oxc+9PhegwyAYk8xg7MH73X9Dh988MEBBRkAmzdv5qWXXuK5557b53bhcJglS5bw6KOPNi6zxyfQq3NH5s+fD8D111/Ptm3b9pkdp6GhYa+Fz04F9gGZhArc1I5fT/wlrbB2Sj7sY/5W+BuzimfRL7MfA7MGNkErT2Ftz4lNCJ/2BDQUwfDnQX8YyWoKF8YmgCe1hJwzGhcrvjC+eaUY0m0Y0m1N0PADIwKNk1BEUXFZ950lypiRgfHii3Gdfz5KbS1KTQ3R2lqUmlqidbUY4uIwd+yAPiExFnwkJqJzOA6qHYl2E8kOE/llbs7ulL7/HY6SkBI6oTJO/XFYm6ZpJFmSaOZqRsv4lvRI7cHamrVM2TqFzfWbub3L7aRYj21WL0EQjm+Lvv0fK6dNYfjt99KsW8+9bqeoCqW+UjIdmfs95nvvvXdQbfjggw949tln95mworq6GkVRSE1NbVxmc7pwWi1sLi8HID09HVVV93qMCRMmsHjxYt55552Dat/JRJIkEi5rQ91XG6j9Yh3hfh5cI/MOumr4DovLF/O3mX/jrLyzGJQ9SCQdaQpDH4e4bPjpYShZCpd8FCvqdzCiYVj9DWz6BVqcGQsytmez0hQV79xS0MvYT08/KpPAdxCBxkkoomg4zAeWjlY2GJBTUzH84UbelNqlO8kv8xyRYx+qkBLCdDhvC44hSZJQVZXpBdPpmtyVa9pfgyfsYUbRDF5a/BJxpjju6X6PyDglCMIerZk5nTnjP+WMS66i4+Bh+9y20l9JVI2SZc/a53aKorBq1aqDakdFRQXl5eWkpx/cSyiL00UkFGr8ecyYMXvd9rfffuOGG27gvffeo0OHU7uAnGzSkXBlW7xzS2n4cSvhIg+JV7ZF5zq478L1teu559d76JbajafOeOqAEgQIB0CSoOeNkN4VJlwH/9cD2p0Xy0yVe8a+527UboXlY0HSQcgNPW/abR//qmoUbxjnoGzkvST4OVJEoHESkiQw64+P//nbpTmYvLLsWDdjF2ElfEL1aPzZqppVVAerubzt5WiahsPo4NwW5+KP+Plx648Eo8ETqhihIAhHx7YVS/nlnX/TachZnH7R5fvdvj5UD7DfTEINDQ1Eo9GDbk91dfU+A42kpCR0Oh0VFRWNy4wWC7X19aSm7buXZebMmZx77rm8/vrrXHvttQfdtpORJEk4+mVizHZQ+0U+5a/8jrVbCrbT0zFm7H94c5GniNun3U62I5s3Br9xQg1BPmFkdoc75sLyL2Dx+/Dx2ZDUGtI6x3o44vPAYIG6bbE/NZugcAHYU2DEC9BsINh2DqHWVI3AhloipV5sPVLRJxx6iulDJQKNk5A3GKWsPnCsmwHEejTembUFdzCC8wB7WY60oBI8YQMNTdP4tfBXWsW1IseZ07hMkiQq/BVkObJEkCEIwm4qtm7m+9fGkNu5G2fefNcB9Xim2WKpyct95XRM2nuWqISEBGw2Gz6fb6/b7ElOTs4+1xuNRnr06MH06dO54IILAPA1NLBy4xYeGH3JXvebMWMGo0aN4sUXX+TWW289qDadCky5TlLu7Y5vfineReX4FpVjzHViPz0dY3MXOodxt6E1NYEabp96O1a9lbfOfAub4eiN8T/lmJ1w+h3Q+zbYOhNWfwU1W6BwPrhLAQ0s8RCXGws8zn0jVvxve2apHRR3mNqvNhAu9uA8Mwdjzu5Z5Y4GEWichCKKSoUntP8Nj4K2OyaEl3no3ezgcqcfKSdyj0Z+bT5lvjJu63xb47IdDww3d7oZVdv7WGVBEE5N7qpKJr7wJAkZWYy672Fk3YH1eMeZ4rDqrRR7ive77cCBA/nxxx8PuE1dunQ5oKxT999/P9dddx09e/akd+/ePPbcGEKRMDfccAMAjz76KCUlJXz66adAbLjUqFGjuPfee7noooso3z6Xw2g0HnT9jpOZzmbAeWYujsHZBPNr8S4oo/bL9dtXSujjzegSzOjjTfgNYe5p+Ac+1cM7Ga9hWhbCpy8Hg4ykk5D08s4/Bhl0EpJBRtLFfo6tk0AnH9W5ASc8WYYWg2N/dogEQQntt+ZGcHM9tePWgSSRdG17THlNXKPjIIhA4yQUUTQM+uOjjkKLZDsGncS6cvdxE2gEleAJ2eWraRrratbRLqEdzV3Nd1tvNVj3sJcgCKeygNfD188/jt5k4sKHH8doPvChE5IkkeXIoti7/0DjnnvuOahA4y9/+csBbXfZZZdRVVXF448/Tnl5OS1zsvnPc880ThAvKyujsLCwcftPPvkEv9/PmDFjdpm/MXDgwH1mpjpVSToZS8ckLB2TiNYGiVT6UWoCRGuDROtCeAtr+Yf1VYr1pbxS8SD2TWHqo1tAOcTKCLsEJrG/88dARb9zPX8IXqTtwQt/Cl7+GOSwh2W7LN8e/KCTTtw5jAZz7M8eaKpGcF0saAxtqMPU3EXCFW2PaFX4AyECjZNQRFExHGI2iaZm0Mm0THGQX+Y+1k1pFFbCJ0xV8D9aVrmMaYXTeLDXgyfuTVIQhKMmGg7z3cvP4Pe4ueL/2bvv8KiqrYHDv+mTZCa9d1KABEKoIr1XxQaKYq/YPhWvvfd2vfauKHYQFEUEFKSjdAKBUEN67236zPn+GAgihCSQZFL2+1wfbs6csoYyc9bZe6/13H/x8G5+1+ZIfSRHKo80ut+kSZO47bbb+OSTTxrdd9q0adx0001NjuHuu+/m7rvvBmDVZ+8T0Su5/rV58+adtO+8efNO2SY0jdJXi9L3xHej3WHnlQ0Psy87nY8nfMzA4BMVyiSHBHYJyeb4138S2BxIVgeS/divNgeSXYJ/b/vn/v86h8PqAKPtlO2SzXHS/pzNIL4MZ8KilCNTyU6MvCjkzlGa0yQrzoTldEnMafY9w6jOSQlUC4zuSFYHtgoTxn1l1G0pwF5pRhWuw2dGd9z7BbZKN/jmEolGJ2S1O1C3g79cxyWE6NtV5amO1kfjuPdT3qfWWku0Z7SrQxEEoZ1zOOwse+91io6mc/mTL+Ib2niJ2tMZEjqEl7a8RJW5Ci/NmadfvPfee6hUKt5/v+HmfldccQVz5849q4clFpMJc10d7l7ezT5WaB5Jknhl6yuszFrJG6PfOCnJAJw3yfJjowwuJNml+uSFk5KYE0kQtlO3ndj+r2TJ6jgpgXKYbMeSpmOJUgOJz1mRy04/gnOmbSq5M7koN2EvN2GvtjjPpZTjnhzgXGcT0bxWBK1NJBqdkMXWfkY0ABKCPVmeWojdIaFoB/MzzTYzvtr2MY2rqVKKU9hauJU3R78pRjMEQTgjSZJY+9VnHNm6mYseeJzQ7j3P+lyjI0bz/ObnWZ+7nmmx0864r0ql4r333uOKK67ggw8+YNOmTeTn5xMYGMigQYO4/fbbmTp16lnHkndgHzK5nIDIqLM+h9A0H+/5mPkH5/PMkGcYFznO1eE0SKaQIVMoQO26SpuS9O/RnVNHXhocvbE2LVFymE9skylkKHy1aGK86kehVMEeyBvpn+YqItHohKx2qX0lGiGeGK12sssNdPN3faWKjjii8cmeT4j1imVs5FhXhyIIQju3Y+lidi3/lfG33EncwMHndK5A90CS/JNYk7Om0UTjuJEjRzJy5EiAFuvpI0kSWXt2ERQbj1bXvp7YdjY/HPyB91Pe5//6/R/Tu093dTjtnkwmq59CJZxK/K50Qla7o90sBocTlafayzqNjtYZPK0sjQ15G7ilzy3IZe3nz1UQhPbnwKZ1rPvmcwZfegXJE85+9OCfxkSMYWPeRsz25lczbKkR2LLcHOoqyolO6tci5xNOb1XWKl7c8iKzes7i1qRbXR2O0AmIu5ZOxuGQCPHW4u3Wfgar/HUaAvQaDrSnRKMDdQb/LPUzIvQRTI6e7OpQBEFoxwoOH2TFB2+SOGIMw2Ze22LnHRs5FqPNyJaCLS12zubK2rMLD18/fMMjXBZDZ7etcBsPrX+IiVETefi8h8U0XaFFiESjk3FIEtP7hxMb0HiXz7bUM1hPWjtZEN6RRjTSK9NZlbWKm3vfjFLefpJHQRDal9qKcjJ2bafXmAlMvP2eFr1JjPGKIVIfyers1S12zuaoKSuj8Ohhovv0FTe/reRA+QHuWX0PA4IG8OLwF8XoudBixN+kTsbmkDhaUofR2r4atyWGeHKgsB2NaHSQROOz1M8IdA/kotiLXB2KIAjtlLGmms2LF6B00zLmultRKFt2UahMJmNs5FjW5qxt86agNouFHct+RufjS3hCUpteu6vIqc7h9pW3E+UZxVtj3upwaxiF9k0kGp2M7VgTHWU7qO70Tz1D9ORWGKk2WV0dSodJNHKqc1iesZwbe9+IStE+q0kIgtB2JMepN/lWs4ltS35Ehow+YyaiVLfOTeKYiDGUmcrYU7KnVc5/OpIkkbZ+DTaLmf5TL2m199aVlRpLmb1qNjq1jg/Gf4CHyvUFW4TORSQanYz92BdRe0s0EkI8AThY6PrpU2Zbx6g6NXfvXLw0XkyPF1U/BKEry92/FwCZXI7DYa/fbrfZ2L70Z4y11Zx38YxWrcaUHJCMr9aXNTlrWu0a/1Zw+CCVhXn0GTcZvW/HKkneEdRaarlz1Z2YbCY+nvBxhyv7LnQMItHoZGwO54hGe+hX8U8x/jpUCpnLK09JkoTF0f47gxfWFfJL+i9c3+t6tMr2HasgCK3HbDDw+4dv8+ndN2Gqq0UuVyA5HEgOB3tWLaeyMI+BF16G3s+/VeNQyBWMCh/VZus0CtMP88t/n0dCIjA6pk2u2ZVY7BbuW3MfuTW5fDj+Q8J0Z9fQURAaIxKNTsbeThMNtVJOXKDrO4RbHM4umu19RGPevnm4K92Z2WOmq0MRBMGF1FotU//vAXS+/sy7/w7K8/OQyeWkbVpH/qED9J14AX5hbVOJaUzEGDKrMzladbRVr1OSlcGPLz6Jd3Aow2Ze16rX6orsDjuPbHiElJIU3h33Lj18e7g6JKETE4lGJ2OX2meiAZAQrHf5iIbJZgJo16MEZcYyfjz0I9ckXCPmywpCFyeTywmJ78HE2+4msFssXz9yD9uW/Ejmzm0kDB9NSPzZd/1uriGhQ3BTurEmu/WmT5Xl5bDwhSfwDAzi0keeRqkS69NakiRJvLz1Zf7M/pP/jvwvA4IGuDokoZMTiUYnc2IxePv7o00I8eRgYQ2OY6MurmCxO0c02vNi8K/TvkYukzMrYZarQxEEwUXKcnNO+tkvPJIJt91NeM9erP/2CzQeHsT0HwQ4bx7bglapZUjIkFZbp1FZWMCi5x/Hw8ubGY8/j9ajfZVp7ww+2v0RCw4u4OkhTzMmcoyrwxG6AFGYv5M5vhhcoXBxIKfRM0SP0Wonq9xAN3/XPKk32Z0jGu116lSVuYr5B+dzZc8r8dJ4uTocQRBcYPGrz5KzL5WA6BjCE3rhFRhEdJ/+mA11aDx0dOs3kD2rfsc3NJz+Uy9u094SYyPH8uSmJyk1luLv1nLrQqpLi1n4wuOotG7MeOIF3PSeLXZuwemHgz/wwe4PuLf/vVwWf5mrwxG6CJFodGBHimupMlpwVytRKeSoFXIKqsyYrXaMFjsmqx2FXIZK0T5GN45XnjpQUO2yROP4iEZ7XQz+3YHvsDlsXJvYcl19BUHoOMrycqguKUbt5oaxugpjdRV716xk68+LMFRXEhDVjbAeieh8fFnz1WfUVVYwYtYNbRbfyPCRyGQy1uasZUb3GS1yztqKchY+/zgymYzLn3wRD2+fFjmvcMIfmX/wwuYXuDrham7ufbOrwxG6EJFodGBvrjzEsr0FaJRyrHYJhySB83+s3F/E8cH0T64dyITEIFeGCoC/ToO/TsP+gmqmJIW4JIb2PKJRZ63jm7RvmNF9Ros+KRQEoWNY/+0XxA0awrhb7iTl99+wWcyEdO/JsCuvY828T6gpK8EzIIiDf29AfmzYeu/aVQy/6vo2G9Xw0frQP7A/a3LWtEiiYaiuYtELT2CzWLjy2VdbvXpWV7SlYAuPbHiEyd0m89Cgh0R3daFNiUSjA3v8ggTuHhsHONdmyGRwuLiGhdtzGR7nz88peRwursVd3X7mUSWE6ElzYeWp9jyi8cPBHzDYDNzQ6wZXhyIIQhvb8vNCtv36E73HTMA3NByFUknKiqWkrFjKwU0b8A4OYeyNt6PVeSA5HJRkZlBbUU5YQq82v3EcEzGGt3e+jcFqwF3lftbnMdXWsujFJzHWVDPzmVfxCgxuwSgFgP1l+7l3zb0MCh7Ei8NeRC5rHzMchK5D/I3rwEK93UgI8SQhxJOkcC8SQjzRKOTkVxp5d/VhfD3ULL5zGMPi2s8TooQQTw4Uuq7ylNluBtrfiIbJZuLLfV9ycezFBHuIL1tB6Er2rfuTv374hsufeBHf0HAAQuJ6MPLqm1CoVBRnpiOTyVC7uSGXK1AoVQTHdSdu0Pm4tWKTvoaMiRyDxWFhU/6msz6H2WDgx5efoqaslMufeAHfUNHHoaXlVOdw+6rb6ebZjTdHv4lKISp4CW1PJBqdgNFiJy2/mud+3cf9P+ymymjl42sHMv+2IfSN8HZ1eCdJCNGTW2Gk2mR1yfXNNmeicVZVpyQJ7K0T96/pv2KTbNzS+5ZWOb8gCO1T/qH9rPjwLS76z2NE9u5Tv33Zu6+Tuvp3dD7+xAw4j6KjR9jw3TyMNa4tEQ4QoY8g3if+rJv3Wc0mFr/6LBX5ecx47Dn8I6NbNkCBUmMpt628DU+1J++Pf/+cRp4E4VyIqVMdmNFiJ6/SwE878/hxZy5h3m48MqUnO7MrOT/Gz9XhndbxBeEHC2sYFO3b5tc/PqKhUTYh0bAaYd9iOPAbVGQ6/7PUgj4EvKMgKBH6XQNh51aH3OawUWmq5LHzHiPcM/ycziUIQsfhcNjZuWwJHt4+2G22+u0/PPcYhqpK7FYrAy64mMDoGHYuX8LhrX+xau6HTL7jXlQa107/HBMxhvkH5mN1WFHJm/6k3Gax8MvrL1Kckc6MJ54nKCauFaPsmmosNdyx6g4sdgtzJ83FV9v237WCcJxINDqwuRuP8uaqw3i7qZgzoTvT+4ezNbOcLRnl2OwOZDKQy2TtqnlfjL8OlULG/oJq1yYaZxrRKM+A7XNh1zdgrICoYRB5PvSZCW7eUJXrTDoOr4Ltn0P0CJjymjPxOAu7i3eTW5fLxXEXn9XxgiB0THK5grE33c76b75gx9KfsRgM5O7fS01ZKX5hESSMHEto957I5HLOu+RyZHI53kHBLk8ywFnm9pM9n7CzaCeDQwY36Ri7zcqvb75M3v59XPboM4R2T2jlKLses93MvWvuJa82jy8nf0moLtTVIQldnEg0OrCfU/IBSAr3YmVaEUtS8qk1WymptXD7tztRK2RUG228c1U/gr1c/8UEoFbKiQvUs99FC8Lr12jI/7VGw+GA9NWw9RM4/AdovZyjFQNvAr/Y05/MYYfDK2HXV7B7PgQnQa9LoBnzYO0OO39m/0msVyyBHoFn+a4EQeio3D29GHfz7Wz47ku2/rKQ6tJSInsnE3fe+XTrNwCZXI7kcDiTjYtbppxsS0j0TSTIPYg1OWualGg47HaWvfs/svbs4pIHnySiV59GjxGax+6w88j6R9hTsodPJnxCvE+8q0MSBJFodGS3j4qlsMqIxebA6pBQyGSkl9Ritjno5ueOQwJ3tRW1sn0txUkI1rO/wDXzjM12MxqF5kSVFmMlpHwH2z6F8qPOZOGid6D3DFA3MqdVroAek6H7JMjdCinfQ+lBGH5/48ces6dkD6WmUtEFXBC6MJVGy6hrb0Yml5G2fg1Ws4nYgeejUCjrkwxJktpVWVKZTMaYiDGszl7Nw4MePmNsksPB7x++xeGtf3HR/Y8R3ffcppsKp5IkiRe3vMianDW8NeYt+gf1d3VIggCIRKNDC/HScknfUJTHGvLZ7A7WHyphxd5Cnr24t4uja1hCiCfL9xbicEjI23hal9ludlacKtoHWz+FPQvAboHEi+GSDyFiMDT3y1wmcx7nEQQbXocdX8D5dzZ6HofkYHXOanr49CBcL9ZmCEJXZqytwWIyERLXA2NtNeu/+ZwhM2bh6R8A0K6SjOPGRI5h/sH5HKw4SE/fnqfdR5IkVn32Afs3rmPqPQ8QN+j8No6ya/hg9wcsPLSQ54Y+x+iI0a4ORxDqta9H3UKzXDN3C7tzK+t/vunL7RwtrUPRTjqBN6RniB6j1U5WuaFtL2y3Yi7YjdZsgA+HwsHlMOw+mLMPZnzuXIdxLl/mvtEw8EbI2+GcUtWItNI0igxFjIscd/bXFAShwzMbDGz7eREaN3cuvO8hBl54KVVFhfzx8TtUFha4OrwGDQoahF6lZ032mtO+LkkSa7/8lD1/rmDi7ffQc+jINo6wa5h/YD4f7f6Ie/vfy6Xxl7o6HEE4Sfu+IxXOyF2lwF19YlBqd04lZquddjZT6hTHK08daKvpU7XFsO6/8FYfzGmLUQPM+ALm7IXRD4O+BftWhA2A+Imw90cwOdehrF+/nmnTphEaGopMJuPnn39GkiT+zHGuzYj2im656wuC0KHYLBa2/fojNquF8y6egdrNnR5DRnDeJZejcffAzdPT1SE2SKVQMTx8OKtzTl/mdtOCr9m5fAnjbr6T3qPHt3F0XcOKzBW8tOUlrkm4hpt73+zqcAThFO38llQ4E6tdQqc5kWjIZSCXy1DI2/cfq79Og79O07rrNCQJcrbBj7fCG4mw4X8QPwFz8pVovaOh92XNWrTdLD0ucP6auRGAuro6kpOTef/99+t3OVhxkLzaPMZGjm2dGARBaPccdjspvy+ltqyU8y6ajruXd/1r0cn9mXL3f9C4e7guwCYYGzmWA+UHyK/NP2n75p8WsGXxD4y69mb6Tpzqoug6t9yaXH4+/DMXxl7Ig4MebJfT6wRBrNHowGwOBwVVJtRKOW5qBRabA6PFDpKEyWpHIZehkMnafB1EUySE6Nlf2AqVp6xG52jC1k+hIAV8omH8M9DvanDzwfL382fVFXzbtm189dVXlJSU0K9fP2677TZ8fHxOv7NWD+GDIGMNdJ/ElClTmDJlSv3LkiSxOns1kfpI4rxFDXlB6IokSSJt/WpsViv9L7gEr6BTR1aVqvbfyXl46HCUciVrctZwdcLVAGxfuphNC75m2BXXMPBCMZWnNeTW5PJN2jdMi5nGpOhJyGXt+wGj0HWJRKMD02tVvLhsPxqlHLkMHBL8sjsfu10io8yAQi5DkiTmXj+o3SUbCSGeLEttwbnHFVnO3hc7v3L2voibALMWQtx4+McIj8luanZX8Pfee497770Xh8MBwIIFC3j//fdZt24d3bp1O/1BEYMh+y+oKwF90EkvFRmKyKzO5IZeN4gnUILQRW35aQHbfv2Jix98ksCoBj5HOgCdWsfg4MGsyXYmGil/LGPd13M575LLGXzZTFeH12Hl1OQAzi7s/1ZqKOXzvZ/jo/VhfNR4lApxKye0X+JvZwf2wiW9MVntWOwOrDYH4xOC2JZZTlmthcRQTyw2B2abvd0lGeAc0fhk/VGqTVY8tWf51E6S4Oga5+jFweWg8XT2vhh0c4O9Lyx2S9O6gh+Tnp7OfffdV59kHJeTk8Ptt9/O77//fvoDj6/7OE2isadkD/E940nwFc2qBKEr2rt2FZt++IahV1xNZK8kV4dzzsZGjuWlLS+xZfUSNs79hP5TLmL4ldeJBylnqdxUziPrHyHaK5qbet9ErPeJ77NqczWfpX6Gm9KNG3vd2KzvM0FwBZFodGDTkk/t+OmuVlBQZeI/E3u4IKKm6xnsXOB4sLCm+R3CTdWw+3tnglF2GAJ7wYVvQp8rQH3m+czNHdH49ddfsdvtp31t5cqV1NbWotPpTn3R3RdkcjCUnvJSQV0BsyNniy9hQeiCMnfvZOUn75I0bhLnX3alq8NpEaMjRvP85uf5aulbXDLuMkZff6v4fDsHvlpfJkVPYkXmCj7f+zlX9riSpIAkjDYjc/fOxSbZmJ00G536NN89gtDOiESjk7E5JJTtcATj32IDdKgUMg4UVDc90Sg+4Gyst3u+cy1G4kUw7W2IGtrksrQquYpqc9MXoRsMDZfglSQJk8l0+kRDJge5EmyWU17yVHuS5Nfxn2IKgtA8RUePsOSNl4lO7s/4m+/sNDfj1fuO4l+poSLRnfE3dZ735QoOyYFcJue6XtcR4B7At/u/Zd6+eVze43JSilOoNFdyR5878NE2sEZQENoZkWh0Ms5Eo/0vClMr5cQG6EgraGRBuN0Gh5bD1k8gYz14BMKQu2DADeB56ohOY8J14fxR9keT9x8xYkSDryUkJODv73/6F03VzkaAHgH1m45XZUnyT0LeAf6MBEFoOVXFRSx+9Vn8wsK58N6HkSsUrg6pRWSm7GDpW6/Qf3hPNrgdwiJZ0SCm85wtuUyO1WFFJVcxpdsUVmevZm3OWo5WHcVP68cT5z9BsK4FS7ILQisTdzudjN0u0c779dVLDPHkQGEDowt1pc6StG8nw4JrwGaG6XOdzfXGPHZWSQZAuD6cwrpCbA5bk/YfMWIEM2eeuqBRqVTy1ltvNXxgXYnzV50/tbW1pKSkMO/3ec5tFZCSkkJ2dnbzghcEoUMy1tbw48tPo9RouPThp1Fpta4OqUXk7NvDL6+/SFSffsy+4kmMNiNbCra4OqwO6YeDP2CymQDnyDs4G/FtKdjCqIhRVJgqMNlNHKw46MowBaHZxIhGJxOo13SYRKNniJ4V+wpxOKQTC9ZzdzinR+390Tn9KGkGDLoVQvu2yDXDdeHYJTsFdQWnreZxOt9++y39+vVj3rx59eVtn376aYYPH97wQSUHQKEBjyC2b/yLMWPG1L/04H8eBOD6669n3rx55/J2BEFo56wWMz+/9jymmmquev6/J/XK6MjyD+1n8avPEdozkWlzHkWhUhGpj2R19mpGhosO4M1xsPwgL2x+gT0le3hw0IN4abz4I/MP3tr5FpfFX0apsZR7+t/DH5l/sOjQIipMFczsMVNMURM6BJFodDJ/Hy1Dr1VyYXKYq0NpVEKIJwaLnZzicqIK/3BOj8rfCd6RMPYJ6Hetc1F1C+rh2wOlTMmG3A3MSpjVpGMUCgUPP/wwDz/8cNMvlLPFmRwp1YwePZoF+xdwqOIQDw9+uP5plSAInZvDYWf5u/+jOCOdK556CZ+Q9v+53BRFR4/w08vPENgtlkseeAKl2tmbaGzkWH5N/7V+nYHQuPkH5jMsdBhzJ83lP2v/g8VuYVK3STz919NcEncJpcZSJkdPZmzkWAaHDOapTU+xrXAb0+Ono2qtprOC0ILEJ0Enk1FaR2ntqQuQ26NE92oeVM4n5PMB8PPt4OYNV82He1Jg2L0tnmQA+Ln5MTZyLAsOLkCSpBY/PwBVOVCd5+ylgbNU4a7iXYwMHymSDEHoIiRJYu2Xn3Fk22YuvO8hQuLbdyXApirNzmTRS0/hExp2yjSwMRFjKDOVsadkjwsj7Die+/s5Pt3zKTq1jkHBg/hk4ifsKd3DnDVzGBs5lgpTBSPCRjAmYgx2h50wXRhvjH6Dp4Y8JZIMocMQiUYnY7U7UCna8XCqJMHRdTD/avw+G8j1ylXs9ZsId2+HaxdDjykgb91Fklf2vJKjVUfZVritdS6QvRVUHhDUG4B1OevQKrUMDhncOtcTBKHd2f7rT+xa8Svjbr6D2AGd499+eX4eC194Ar2fP9MffQ6Nu/tJrycHJOOr9WVNzhoXRdhxfLj7Q/7I+oP3xr2Hj9YHSZLo6duTzyZ+Rqx3LGty1hChj+CCmAuQyWQo5ArsDjteGi+8NF6uDl8QmkwkGp2M1S6hao+LNMw1zr4X7w+Gry6CsnSY+jr3hX3Ph263gX98m4UyMGggMV4xzN07t+VHNSQJcrdA+ABQKCkxlLCtcBsjwkeIxkqC0EXs37SO9d9+weBLZ5I8YYqrw2kRVcWFLHzhcbQ6PTMefx7tacp6K+QKRoWPYnX2ahdE2HEsO7qMD1M+5KXhL5Hgl4DVbq1fbyFJEvFe8ehUOpakL2F/2f764xSt/BBOEFpDO7wjFc6Fc0SjHf2xlh6GZQ/B/xJg+cMQ0AOuXwp3/g2DbiYmLKjhylOtRCaT8Z+B/+Gv/L+Yt29ey568PN1ZMStiMBa7ha/3f42P1oehoUNb9jqCILRL2Xv3sOL9N0kcOZZhM69xdTgtoqaslIXPP45SpeLyJ1/E3bPhJ+pjIsaQWZ1JRlVGG0bYcazKWsUjGx4h2COYt3e+TU51DiqFCrvDTomhhC/2fUGkVyQLLlhAT9+e3PT7TWzK2+TqsAXhrLWjO1KhJVjsDtRKF/+xOuxwYBl8dQm8N9BZQWrwbLhvD8z8GrqNqG+w1zNYT065kRqTtU1DHBk+kpt738zbO99me+H2ljtx9lbQeiP5d2fx4cWUGcu4JuEatMrOUc5SEISGlWRn8svrLxDRK4mJs/+vU1QFqqusYOHzj+NwOLj8yRfR+Zx57dyQ0CG4Kd3E9KnT2Fa4jUc2PMKTQ57kg3Ef4Kf148bfbyStLI1aay2f7fkMN4UbN/a6ER83H/43+n8MCR1CsaHY1aELwlkTVac6GZeu0TCUw86vYNtcqMqGsIFw6SfQ6xJoYNpQr1BPPN2UHCmupV9k23Y6vbvf3ewp3cOD6x/k0wmfEucTd24ndNghdxtSxHmszV3PjuIdzOwxkxBdSMsELAhCu1VdWsJPLz+NV1Aw0+Y8QpnBTpXRRKi3Gx6ajvlVa6ypZtELT2AxGbnymVfx9A9s9BitUsuQkCGszl7NTb1vaoMoOwa7w86ctXO4sfeNXN79cgDuH3g/n+z5hNkrZzM4ZDA+Gh9u7XMrbio3wNlP460xb7kwakE4dx3z009okNXmgjUa+btg62ewd5FzjULv6XDeLRA2oNFDYwN0XDM4CkdrVYA6A6VcyWsjX+PWP25l1rJZPHn+k0yLnXb2Jyw9hMlSzSJZNXsydzE2YiwDghr/PRAEoeM6XFTD2r3ZVCx4A7vZxqaoSbz08npMVkf9Pv46NRG+7kT6uhPh405coI4JiUHtOgEx1dWy6MUnqauqZObTr+Ad3PQHJmMjx/LkpicpNZbi7+bfilF2HAq5gjWXr0GlUCFJEjKZjJ6+PZndZzY51Tmszl7NQ4MewlvrDTgTE7EmQ+gM2u+nnHBW2myNhs0Mab84e1/kbgOvCBj1MPS/Djya/sWiVMhRKWRkltUxIKrly9k2xt/Nn+8u+I4XNr/AYxsfI6U4hTkD5qBTn7rQsTEFedtZGBROjbGU6xOvp5d/r1aIWBAEV7PaHfyxr4ivN2eyNb2ES4t+w99SRfbQmxgYGcWlx5IKT62S/Coj2WVGsssN5FQY2JpRTkGVCb1GyfQB4VxzfiRxgXpXv6WTWExGfnrlGaqLi7j8qZfwC29ac9PjRoaPRCaTsTZnLTO6z2idIDug4yVpZTIZkiThkBz8XfA3Yfowuvt0552d7yBDxsyeM0WSIXQaItHoZCx2B+rWTjQOroCl90FNAcSMhpnfQvfJoDi7v05+Og2ZpYYWDbE53JRuvDDsBfoF9uPlLS+z9OhSpsVO44oeV9Ddp/sZj7XarazJWUNeTQ4V9ir8PYK4pueV+Lq1fdIkCELrKqwy8f3WbL7fmk1xjZnzonx42H0XRlsxM556gfCeTXu4kFdp5LstWczfmsO8vzIZEuPHtUOimJAY5PJiHlaLmZ9ffY6ynCwuf+JFAqNjmn0OH60P/QP7syZnjUg0zuCnIz9xoOwAs/vMxlfrS7g+nBe3vIhOreOCmAtcHZ4gtAiRaHQyrbpGw1QNvz8Gu76GuAlw3S/OKlLnKMzbjT25VTgcEnK5a9aXyGQyZnSfwYiwESw6vIhFhxax4OACevn1Is47jjB9GOG6cLw0XhTUFpBbm0tuTS67indRZipjiHcPrsjay6iZP6ISSYYgdCqSJPHFpkxeXr4flULOpf3CuOb8KIr/XMT2dduZNueRJicZ4PzMe3BST+4ZF8+KvYV8/XcWd367k/hAHR9e099lIxw2q5Ul/3uJgvRDTH/sOYLjzvyg5UzGRIzh7Z1vY7AacFe5N35AF/N75u9sK9zGzB4zSfBLAODyHpcT5RnF1JipLo5OEFqOTGq19siCK8Q+toznLu7F1YOjWvbEmRvh5zucC74nvQj9r6+vHHWu9hdU8+HadJ68IIEAz/ZRncnqsLI6ezV/Zv9JXk0eubW5lJvKAVDKlIToQgjXhRPnE8elcZcSv+pFKD0Cd2x0ceSCILSkGpOVh3/cw7LUQm4e3o37xsej16rYuXwJa+Z9wpgbbqP/lIvO+TqpuVXc/0MKeZVGXpneh4uSQ1sg+qaz22wsfesVMlJ2cOnDTxOV1PeczpdTk8PUn6byxug3mBA1oWWC7CQ25m1kSfoSLuh2AaMiRrk6HEFoVWJEoxOxOyTsjhZeDG41wern4e/3IXIIXLcEfLu13PlxPt0DyK8ytptEQyVXMSl6EpOiJ9VvM1gNVFuq8XfzRyn/xz8dc41zOtnoh10QqSAIreVAYTV3frOT4hozH13Tn8m9nQuiD23ZxJovP2XAhZe2SJIBkBTuxc93DeOxxanc8/0utmeW8/gFCWiUrT9X3+Gws/z9Nzi6czsXP/j4OScZABH6COJ94lmdvVokGv+QUpzCkvQljAofJZIMoUsQiUYnYrU7q5y02BqN/F2w+HYoPwoTnoMhd0ErLFDzdFOh1yrJrTSR3Lw1h23KXeV++ikAB5aBzeistiUIQqeweFcuj/6USrSfB7/+33C6+XsAkHtgH8vefZ0eQ0Yw6uobW/SaHholb83sy8BoX57/NY3duVV8cHX/+ocxrUFyOPjjo3c5tHkjF973MDH9BrXYucdEjGH+gflYHVZUclWLnbejyq7O5s/sPxkQOIAp3TpHx3hBaIxo2NeJHE80znlEw26Fta/CZ+NBoYbb1sGwe1olybDb7Tz55JN8fOdULh3YjdjYWJ5//nk61Iy+vYsgYjB4R7o6EkEQWsCKvYXMWbCbqUkhLL5zWH2SUZabwy+vPU9ofE8m3zkHmbzlv0JlMhnXnh/FwtuHUFpj5tq5W6g121r8OuBce/LnFx+zb/2fTLlzDt0HD2vR84+NHEu1pZpdRbta9Lwd0d7SvTy28TFivGOY3n06cpm4/RK6BvE3vROx2p035+e0GLzkEMydAOteheH3wy1/QlBi065vtVJYWIjD4Wh852NeffVVPvzwQ2Y/+gJ3vr+EV199lddee4133333bN9B2zKUQ/pqSLrc1ZEIgtACssrqeHDhbib3CuZ/lyfjpnY+YKmtKOenV55G5+vHRQ88jlLVuk/okyO8+erm8yiqMvHoT6kt/vBFkiTWffM5u//4jYm3/R8JI8a06PkBEn0TCXIPYnXO6hY/d0eSUZXBnavuBGBK9JSTp94KQicnEo1OpH5EQ3kWf6wOB2z+ED4e4VxzcPNKGPs4KNWNHmo0Grnnnnvw8vIiJCSEwMBAXnvttSZ9Mf71119cfPHFTJ16AZIugEsuu4yJEyeydevW5r8HV0j72dmkMPESV0ciCMI5Mlnt3PHNTvx0al67vA+yYwUvLEYDP73yDA67nUsfeQatx6l9dhwOB1lZWWzfvp2VK1eycOFCvvrqK5YsWcKGDRtITU2lsrKyWfHEBuh4dUYfft2dz9ebs1riLdb7a+F37Fi6mDE3zCZp7MQWPfdxMpmMMRFjWJO9pmONUregYkMxt6+8HV+tL++Pex+tsn2sQxSEtiLS6k7EYjvLNRqV2fDznZC5AQbfDuOeBnXTyxFeffXVLF68uP7nsrIyHn74YYxGI08//fQZjx06dCiffPIJM27MRpJkbNi8nY0bN/LGG2807z24SuoiiBkFugBXRyIIwjl6Zsk+0ktqWXznMDy1zhELyeFg6duvUVVUyJXPvYan/8n/1g0GAykpKWzbto2KigpkMhleXl74+Pig1WopKCggLS0Nk8mETCaje/fuDBo0iJiYGORNmHp1YZ9QtmdW8PzSNPqEe9M3wvuc3+eWnxey+cfvGTHrBvpPmXbO5zuTMZFjmH9wPgcrDtLTt2erXqu9qTJXMXvlbBw4+GjCR3hpvFwdkiC0OZFodCLNXqMhSZDyLSx/BLRezopSMc2rgpGamsqaNWvw9vY+5bVPPvmE+++/H72+4ZrwjzzyCNXV1VwwciAyuYL3HHZefPFFrr766mbF4RJVeZD1F1z8vqsjEQThHC3akcv8bTm8NqMPiaGe9du3LP6BjJQdTH/kGQIio+u3OxwONmzYwIYNG5AkicTERC655BLCw8NRKE5dz2YwGEhLS2Pr1q0sWLCAwMBALrzwQkJCQhqN7bGpCRwuruGRRXuYf9v5eHs0PtLckN0rl7NtySKGX3U9513c+s30BgUNQq/SsyZ7TZdKNEw2E/esvocSYwlfTf6KYI9gV4ckCC4hEo1OpFlrNGqL4dd74eAySJ4FU15xJhvNZDKZuPXWWxt8vaqq6oyJxg8//MC3337L1998w285SuIUpbz+8pOEhoZy/fXXNzueNrXvJ+di+YQLXR2JIAjnwGyz89Ky/VzaL4wrBp4ofZe1J4VNC79lyPQrie47oH67wWDgp59+4siRIwwbNowhQ4ag0506neqf3N3dGThwIAMGDKC8vJzDhw+zb98+bDYb4eHh9dO0TketlPPBrP7M3ZhBSk4lo3sGntX7LDh8gKqiAqbe/QDd+g08q3M0l0qhYnj4cFbnrOaOvne0yTVdzeaw8eC6B9lfvp9PJ35KjHfzu6sLQmchEo1OpMkjGvuXwq/3ADKY+e053SirVCrKy8sbfN3N7cxlGR988EEeeeQRpl12OVsW72X68AmoTeW8/PLL7T/RSF0E3SeeVYImCEL7sTy1kPI6C3ePjavfVlNeym/v/peopL6cP/3K+u3FxcV8++23WCwWrrnmGuLi4k53ygbJZDL8/Pzw8vJi37597Ny5k9LSUpKTk884lcrLXU1soAcbjpQwLN6/2dUF8w7tZ++alUT06kO3fgPPmNi0tLERY3kw40Hya/MJ1bVtI8K2JkkSz/39HBvzNvLO2HdIDkh2dUiC4FJiMXgnYjneR6OhxeB2K6x4FBZcDRHnw52bz/lpfGJiImq1mrq6ulP+i4qKws/P74zHGwwG5HI55bVmAHx1GhQKRbMqV7lE6REoSIHerT/1QBCE1vX15iyGxfkRG3BiVGLVp++jUCqZ+n8PID9W2ttkMjF//nzUajWzZ89udpLxT0qlkuTkZJKTk0lPT+fgwYONHjO4mx8lNRZ251Q261oFhw+QsuI3gmO7kzB0ZJsmGQDDw4ajlCtZk7OmTa/rCu/seofFRxbz3LDnGBE+wtXhCILLiRGNTsRqO8OIhqEcvr8S8nbClNfgvNugBb5s1Go1c+bM4fXXX6e6urp+e3h4OHfc0fgw+bRp03jxxRcxa3yortWzaVU6b7zxBjfddNM5x9aq9i4CtR66T2p8X0EQ2q20/Gp2ZFXw0TX967dVFhZwdOc2Jt1+L+6ezhFLSZJYsmQJtbW1zJ49+7Tr0s5GdHQ0dXV1pKWl4efnR2Bgw9Oigr3ciA/UsfFIKQOjfZt0/qKMdHatWEpo9x4kjZ3YKr0/GqNT6xgcPJg12Wu4OuHs1t9ZHRJZJjNZRgtZRjNZJgu5JgvuCjlRWg1RbmoitWqi3TQEaVzTHPCbtG/4LPUzHhj4ANNiW3eRvSB0FCLR6EQaXKPhcMBPt0HpIbhxOUS0XOdXgPj4eN588022bt1KWVkZYWFhDBw4EKWy8b9e7777Lk8++SQvPfEAFWWlbAgPY/bs2Tz11FMtGmOLkiTntKmEC0HVeh17BUFofd9sySLIU8P4hKD6bbtXLUfroaPHsJH127Zv305aWhpXXHFFoyO1zZWQkEBZWRlbtmxhwoQJaLUNl0AdHu/PF5syyaswEOZz5uqAJdmZ7Fz2M0ExcSRPvKBJVa5ay9jIsby05SWqzFXNqr6UZTTzZV4Z8wvLKLfaAVDJZIRrVURo1RSZrawtr6HEcqKpYT+9OzeE+XNRoDdu59rAtol+O/obr257lRt738j1vdr5tF9BaEMi0ehEjq/ROKW87YbX4cgquGZRiycZx7m7uzN69OhmH6fX6/nfG2/gNeYWegZ7ctXgDtBdu3APlB2Gya+4OhJBEM5BrdnGz7vymD0yFuWxz02rxczeNSvpNXo8KrUGALvdzvr160lOTiYxsWkNTJtDLpdz3nnnsXz5cjIyMkhISGhw36RwLzy1SjYeKWXmoIY/L8vycti+dDF+4VH0m3yhS5MMgNERo3l+8/Osz13f6NN+SZJYVVbNF3mlrCmvwVOp4MoQXyb6eRLlpiFEo0LxrxH5OrudHJOFg3Um5heUc++BbJ45ksfMEF9uDPMnyk3Tau9tU94mntj4BBfHXsyc/nNa7TqC0BGJNRqdiOV0i8HL0mHtyzDqIYgb3yrXff/994mOjkar1TJ48OBmN9vbm1dNhcHK8Hj/VomvxaUuAne/ZpcCFgShfTlYWI3BYmdirxOjGYf+3oiptobkCVNObDt0iJqaGs4///xWi0Wr1RIREcErr7zCoEGD0Ov1BAYGcskll5y0fkMpl3NejC+7siuxHVvLZjKZuOGGG0hKSkKpVHLB5MlsW/IjPsEh9L/gYuQK1z9TDHQPJMk/qdF1GlVWGzfuzeDa1AxKLTb+1zOCXUN78WxcGMN89IRr1ackGQAeCgU9Pdy4ONCH75Nj+XtwAjNDfJlfUM7IrQf4Lr+sVd5Xakkqc9bOYVjYMJ4Z+kybr38RhPZOJBqdyGk7g2//3FkVaXjrPGVZsGAB999/P08//TQ7d+4kOTmZSZMmUVxc3ORzbDxSSpSfOxG+TW8S6DIOB+z90dkJXOGaecCCILSM7HIDAJH/+OzJ3L2TkPge+ISE1W/btm0b4eHhTep5AfDXX3/x+OOPc+edd/LOO+9QWlrapONiY2PZvXs3s2bNYvPmzaxcuRKr1crEiROpq6ur369vuA8Gi50jRbWAc8TFzc2Ne+65h9EjR1JRmIenfyADL7wMpbL9fE6NiRjDxryNmO3m076+t8bApB2H+Luyji96R/P7wO7MCvHD/SymP3Vz1/BMXBg7h/biimBf7j+Yw337szHYW67QyNGqo9z555309O3Jf0f9F6Xc9QmdILQ3ItHoRE6Utz32RMVqhF3fQL9rzriWoLa2lrlz5/Lwww/z/vvvU1bW9Cc/b7zxBrfeeis33ngjiYmJfPTRR7i7u/P555836fjdOZUcLKxhVPcO0lk7ZzNU50GSqDYlCB1ddpkRf50aD82JG8SqokJ8Q0/00jAajRw9epT+/fuf7hQnMZlMXHXVVQwbNoyXXnqJDz/8kHvvvZdu3brx008/NXq8j48Pr7/+OkOHDqVXr14kJyczb948srOz2bFjR/1+Eb5u+HqoScmtBMDDw4MPP/yQKy+7FLmpDoVKzaCLLkOpPvvGfq1hbORYjDYjWwq2nPLad/llXLDzMJ4KBX8M7M6UAO8WGR1wV8j5b48I3u4ZyS/FFVy44xBHDadPdJqjsK6Q21fejr+bP++OfRc3pVivJwinIxKNTsRqO7YY/Phc3JwtYKp0NuRrwKFDh+jduze33HILr732GnfffTc9evTg77//bvR6FouFHTt2MH78iSlZcrmc8ePHN+n4kmoT327OIjnCiwFRPo3u3y6kLgLPcGd5YEEQOrScCsMpI6mVxYV4BZ2YSnW8T1BwcOOdne+77z7mz59/yvba2lquuuqqk5KFhnh5eZ00elFVVQWAr++JKlM33ngji567hdTcKhwO5+d+bWUFWxb/gEKpwic4FJWm4QXlrhLjFUOkPpLV2avrt0mSxAvp+dx/MIfLg3xZ0j++VdZTzAzxZfmA7qhkMq7dk06J2XrW56oyV/HAugfQqXR8PP7jZi1uF4SuRiQanYjF7kAplyGXH3sKVJ4BMjn4xzd4zKxZs8jKyjppW1lZGTNmzMBisZzxeqWlpdjtdoL+8aUMEBQURGFh4ZljtTmYuykTvZuKWedFdox5rXYrpP0MvS8DFy+sFATh3GWXG4j4R+Umi8mIsboK78ATSUVlZSXgHG04k5ycHD799NMGX7dYLLzwwguNxuTh4VGfaDgcDu677z6GDRtG79696/cJCQmhe2w3akw20ktqMVRXseWnBSjVavwjo5ErFI1exxVkMhljIsawNmctDsmBXZJ46FAu72UX82xcKK/3jEDbilWieurcWNQvlhnBPiwvrcJ+LElrDovdwvKM5QwLHcanEz8l0OPsurQLQlch7pY6EavdcfJC8Mos59P3BtYSHDhwoMEnbPn5+axZ0zrNlYwWG3M3HqWkxsRNw6NxU3eQea1H14KhTEybEoROIqfccNL6jKriIgA8/5FoVFRUoNFocHM789SYv/76q9FGoxs3bmw0Jg8PD8xmM1arlbvuuou9e/eeMkry8ssv8+P8b/FxV7E7PZ/NPy1AJpcz+LIrUDShrLgrjY0cS5mpjJ3Fu7kzLYtv88t4s2cEsyPa5oZdr1QyLcCH3TUGVpRWNetYm8PGwoMLOVJxhAtjLsTPrWXLHAtCZ9S+P5GEZlHKZdgcDhwOyTmqYaoGrWeD+x+fEnC2r/v7+6NQKCgqKjppe1FRUYPTDIqqDOzJrcZotvF/Y+MI8+4AC8CPS10EfvEQ3MfVkQiC0AJMVjtu6hNP/x02Zy+Gf96s2+12FE0YIfDz8+O8886jrq6O2tra+v/M5hPrARobJQbqy9Dec889LF26lPXr1xMeHn7KfjKZjD5BWhw7f0fSyhkyfRZuuoY/79uL5IBkfDQ+PLTzZ464XcanvaO5IMC7TWOI89Ayyd+Ln4oqiNCq6ePZ+PeQJEn8dOgn9pbu5YbeNxDhGdHoMYIgiESjUwnzccNqlyiqMRHi5QbeEZC60Nlg7jRTk3r16oWbmxtGo/G05xswYMAZr6dWqxkwYAB//vknl1xyCeAc6v/zzz+5++67T9rX7nBwuKiWo6V1hHhpmT067qQFmO2e1QgHlsLQe1qko7ogCK7nr9NQUnMiEfA6NpJRVVxEcKxzyqm3tzcGgwGr1YpK1XAFp6SkJKZOnQo4PwdNJhNms5m6ujrKysooLS09Y3+M42pra/niiy9ISUlh7dq1dOvW7bT7WUxGvA6to8puI3T0dNy9OsY6gVq7hNW9P2UVm/lm8AOM9NW7JI4Jfp4cMZj4vrCMXjo3FPIzf64vz1jO9uLtXNnjSnr49mijKAWh4xNTpzqR41MAssucJRvxiQZzNRgrTru/l5cXDz/88Glfu+GGG+jevXuj17z//vv59NNP+fLLL9m/fz933HEHdXV13HjjjfX7FFaZePfPw3z5VyZapZzkcO+OlWQAHPodLLVi2pQgdCIBeg2ltScSDa1Oh8bdg6riE2vMfHx8kMlkDT6QOS4oKAiNRsOBAwdIT0+ntLQUq9WKXq+nZ8+ejBs3jvvvv7/RmJ566inWrVvHd999h16vp7CwkMLCwpOu/9CDD3LRxPE4TAYOBJ1HWgWkpaWRkpJCeXk5VVVVpKSkkJKS0vzflFZUYrEyPSWdSnVf5NZ8IhRNK/vbGmQyGdMCvKmw2tlTazjjvutz1rM2dy3TYqbRP6jx6mOCIJzQwe72hDMJP7aoMafCyGCAoGOLBzPWQa9LT3vM008/jZeXF6+99hoFBQX4+Phw11138fTTTzfpmjNnzqSkpISnnnqKwsJC+vbty4oVKwgKCsLhkFh/qIQle/LxdVcze3Qs0X4eLfBOXSB1IYT0Bb9YV0ciCEILCdBrKKwynbTNKzCYqqKTEw2VSkVdXR2enmeemnTHHXfwyiuvkJmZicFgwGBw3sDKZDIuv/xyevRo/En4okWLABg9evRJ27/44gtuuOEGbBYLe7dtIb+wiMGXXEFVtoXduZX8594LTyrs0a9fP8A55ac9yDVZuCIlnVq7nflDLubWpR+wJmcN3bxOP2LTFiLcNMS6aVhfXkM/z9N/N+0o2sHSjKWMCR/DiPARbRyhIHR8ItHoRLQqBTEBHmw6UsqMAeHOalORQ2Db3AYTDXCWZLzvvvuoqalBr2/+MPbdd999ylSpsloz323J5nBxLSO7+3NRchhqZQcdQDNVweGVMO5JV0ciCEIL8tdpSM07eUGwV2AQlUX59T/rdDrCwsIoKipqtGGfl5cXzz77LOvWrWPXrl3U1dURGhrK2LFjiY9vuPrfcQaDgYULFzJgwIDTTpmy2axsX/oT98y8jMGXXIFXYBDJUg0bDpeydvteov11TXznbetwnYmZu9NRymQs6R9PtJuGISFDWJ29mpt63+TS2Eb66vkir5RCs4Vgzcl9Rw6UHWDRwUUMChrE5G6TXRShIHRsHfTOT2jIlYMi+G1PAeV1xxYdDroFMjdA8YFGjz2bJOPfJEni76NlvLL8AKW1Zu4aE8uMAREdN8kA2L8U7BbodZmrIxEEoQUF6DWU1pzcvC2sZyK5+9MwVFUCztGIAQMGUFlZSW1tbaPnVKvVTJgwgYceeohnn32W2bNnNynJAMjLy0OlUhERcepCY4fdxs7ffqGioIBB06bjExIKQFyADp1Gye6c5lVQait7agxcvOsweqWiPskAZ/WpPSV7KDW2/fSp9evXM23aNEJDQznfR0/BmpVsKD/5zza7Optv9n9DD78eXBZ/Gffeey8DBgxAo9HQt2/fNo9ZEDqqDnz3J5zO5QMiQAY/bM9xbki4CPQh8Ne7rX7taqOVTzdk8P2WbJLDvXl4Sk96BLf/KiiN2rsIooaBV5irIxEEoQUF6DRUm2yYrPb6bYmjxiGXy0ld/Uf9th49eqBQKMjIyGi1WBwOBzk5OURHR6P8V4lah8PBrhVLKcvJYuC0S/ELP5GIyOUy+kR4sSu3st1Mkzru78paLtt1hCithsX94gjWnFhMPzJ8JDKZjLU5a5t/3r//5pprriE5OZmhQ4fy9NNPU1ZW1uTj6+rqSE5O5v333wcgUqsmw3gi4SyqK+LzvZ8TpgtjVs9ZKOTOqmM33XQTM2fObHa8gtCViUSjk/HxUHNhnxC+/jsLo8UOSjUMuQv2zIeq3Fa77u6cCl5efoDM0jpuHt6Na4ZE4d5R+mOciaEcivdD0nRXRyIIQgvz1zufrv9zQbibTk+PYSPZvWo5DoczAVGpVISFhXHo0KFTbmiNRiO7du0iN/fcPl8LCgowm83Exp68DszhcLD7j98oOnqE/lMvJiAy+pRj+4Z7U15rIbfizAvW29LK0iqu2p1OX707C/vG4qs6+fvAR+tDv8B+rMlpXr+m//3vfwwfPpxvv/2WPXv28Pfff/Pcc8/Rt29fDhxofOQeYMqUKbzwwgtceqlzSrGnUkmZ1VnauNJUydy9c9Gr9Vzf63rUCud0qnfeeYe77rqLmJiYZsUrCF2dSDQ6oTtHx1JWZ+aJn/c6n3ANuAHUOvj7/Ra/lsFi4+u/M5m7MZMYfw8emdqT5AjvFr+Oy1RkQvIsSLrC1ZEIgtDCAnTORKPkX9On+k68gJrSEjJ2ba/fFhUVhY+PD1u2bDmpN0ZlZSV///03Bw8erN9WV1fHr7/+ypdfftloPyKA0tJSysrKSEhIQKc7sc5CcjjYu/oP8g8dpO+kCwmKiTvt8XFBOjzUClJyTl9hsK0tLqrgxr0ZjPH15Js+MeiUp+9DMjZiLJvzN2Ownrnq03Hr16/nwQcfPG1jxNzcXGbMmNFo08TT0avkVNnsVJhrmZs6lz8//ZO3p7+Nu6oD9XkShHZKJBqdUFygnpcuTeLHnbks2JYDGj2cdxvsmAd1TR9ebsyBgmpeWX6A1Nwqrh4cyS0juuGpbbjOfId0aAV4BIKmfS6yFATh7AXUj2ic3EgvODae4Nh4/vrhO2zHmuwpFAoGDx6MzWZj69atWK1WwDmiodVq8ff3rz/+4MGD5OfnYzabSU9PB2jwBrimpoa8vDy8vLyIjo6u3y5JEmnrV5OTlkryhCmEdu/Z4PtQyuUkhXuzK9v106fm5ZVyZ1oWlwX58GmvaLSKhm8zxkSOweKwsCl/U5PO/c4775zx/e3bt4+VK1c2O2YvhQIkG/P2fkGttZbxieOJj2vauhpBEM5MJBqd1GX9w5k1OJKnluxja0Y5DL7d+cLWj8/53GabnYXbc/hgbTqBeg2PTE1gcIwfss7WyK6uFMqOQFiyqyMRBKEV+HqokctOHdEAGH/r3ZTlZbP268/qt3l4eDB48GBKS0tZs2YNNTU11NTUYLfb60ciampqSE1NZdCgQURHR1NSUnLaa0uSRFFREfv378fDw4OwsLCTXjuwaR2Zu3eSNGYi4Qm9Gn0vyRFelNZayK90zfQpSZJ4O7OIRw7lcku4P2/1jETZSBO8CH0E8T7xrMlu2vSp3bt3t8g+/6ZTgFvN75QYi7ip9008ev+j/Pnnn80+jyAIpxKJRif21IWJ9IvwZtanm/l8VzVS/+tgy8dgbrxySkMySmt5bcVBNh8tY3r/MO4cHYevh7rxAzuinK2gUENIP1dHIghCK1DIZfh6aE6baAR1i2XsjbdzYNM6io4eObE9KIixY8dit9v5888/yc3NRSaT4eHh7MOwbds2tFot3bt3x9vbu747uFx+4uvWarWSkZFBZmYmgYGBxMTEnLQA/PDWvzm6YysJI8cSmdS0Bx09gvRoVXJScirP8nfj7EmSxHPp+bycUcCD0cE8FxeGvIkPnsZEjGFd7jqsDmuj+2q12kb3cXNza9J1/2lb4RaU1hzGxcwkwvPUil+CIJw9kWh0YlqVgm9uGcwNQ6N5bmkaTxaNRrLUOqdQNZPV7uD3vQV8vO4o3u4qHp7ck1E9ApE38sSqQ8vZAiHJoGr8y00QhI7p393B/ylp7ER6jx7P0Z3bqC49MTLh5eXFuHHjCAoKIiMjg+rqaoqKijCZTOzcuZOEhAQ8PDyIiooiJycHo9GIJEmUlZWxY8cODhw4QE1NDXFxcURHR5+UhGSkbCdj1zYSRowmpt/AJr8PpULOgEgfDhRUn/1vxlmwSxL/OZjDhzklvBAfxn+6BTdrdHts5FiqLdXsKtrV6L5jxoxpkX3+Laf6KCbdOJL9G56eJgjC2RGJRienUsh54sJEPry6Pz9nyPnFPpzqNW9ypKBptcvzKgz8vreAD9YcISWniml9QrhzdCyBnp3k5rvkIJSfpmRlVR5U5UDE+W0fkyAIbSZAf/oRDXD20Bh25XW4e3mx+af5lGSd+KxQq9Wcf/75BAQE4ObmRnp6OvPmzcNut1NbW8uePXsoKyvDbDazadMmli1bxpo1aygtLSUgIIBevXrh5+dXfz67zcahLX+Rs3cP3c8fTkz/85r9XvpF+WCxS5TUmBrfuQWYHQ5m78tkQWE57yREckt4QLPPkeibSJB7EKtzVje67wMPPICPj0+Dr1955ZX07t270fPU1taSkpLC3BVzAXCrC6Yow0pNvrNR43vvvce4ceNOOubIkSOkpKRQWFiI0WgkJSWFlJQULBbLKecXBOGETlB/VGiKKUkh9I30ZtlqB7rdV/HCe6+QFTmdvpHeRPq6E+nrTrCnlpJaMznlBnLKjezNr2L9oRL8PNRMHxDOzEERdGunnWfP2qpnwW6G8EEQ2g9C+oI+CHK3gsodghv/0hIEoePy16nJKmu46pFKrSFx5FhMhjq2/rKI+POGEnfeEORyOWazGUmSCA8PZ8SIEXz00UdYrVZWrVqFQqFApVJhNBqprq6mb9+++Pv7ExQUdNIIBoCptpY/535E9t5djLz6RqKT+5/Ve4n0defX3fn4eqiZPSq28QPOQZ3dzs2pmfxVWcvcXt2YHOB1VueRyWSMiRjDyqyVPDDwAZTyhm9LIiMjWbZsGTNmzCAvL++k16ZPn85nn33WwJEn2759+0kjH9+//BHwEe7XX8+8efMoLS2tX8R/3C233MK6devqf+7XzzmlNiMj46RF/IIgnEwmubpEhdDmHN9fjSE3lf/z+5gjpUbyK03YHSf+GshkEOKpJcrPg2nJoVzcNxQPTSfMSR122PkVZP8NpYedb9wzzJls5O+CyPNg6D2ujlIQhFb08vL9rNhbyLoHzzzlRnI4OLxtM4e3bMI/IorkiVMxmC389ttvBAQE4Ofnx4YNG7j11luprKyksrKSqqoqcnJyqKmp4bbbbkOSpJOmFUmSRHHmUY7u2MqR7VuYeNvdDZawbap75+/iYGENK+4beU7nOZNKq41r92SQVmfky6RuDPfRn9P50srSmLl0Jm+PeZuxkWMb3d9kMrF48WJSU1PR6XSMHz+e885r+gjQ/rL9fLnvSwYGD2R6/HQ+yinG7JC4Lzr4XN6GIAinIRKNrih3B3w2Fi7/EnpdgtXuoKDSREGVkQC9hjAfNzQN1D3vtMy1sPxhSF0IvjFQWwQRgyBqOIQPhKihro5QEIRW8NmGo7yx8hBpz01u0v4l2ZnsWvErdosFVWAo+XUmJLkck8lEYmIiI0aMwOFw1I9a7Nu3j1WrVnHrrbfi7u7sy2CzWMg7mEbWnl1YDAYCY2KJHzwMN9253bADrNhbyO3f7GD1f0YRE9DyI9DFZitX7k6nwGzl2+QY+nt6tMh5r152NTqVjo8nnHtlxDPJrMrk09RPifeJ59qEa5GQ8eDBXMb5eXJhoHerXlsQuqJO+JhaaFT4AOg2Eja+AYkXo1LIifRzJ9KvizUnkiTnqAaSs0+GoRSG3g1uPpD2C8iUsO0zqCsRiYYgdFIBeg0Gi506s61JI7cBkdGMuvZm8tL2sn3zZkorKvFwdycgJIQwf1+MtdVo3DzqRy/0ej2SJLFr2zbiIsMpzjxK3oF92K02ArvF0nvUOHzCIlqsPPjoHgG4qxUs31vIXWPObXTk37KNZmbuTsdol1jcP46eHs2v8NSQK3tcyWMbH+NQxSG6+3RvsfP+U1FdEV/s+4JwXTizes5CIVeQVmvA6HCQrG+59yIIwgki0eiqht8PX18C6ashblyju3dKMhkojv0TsNRB5iYY9Qjs+hoG3gR9ZzlHf7Sero1TEIRW88/u4E2dIqrSaIno048NqWn4aNxICPChLCuT/X/ksR+QKxW46b1QabVUV1aiNdaSvnUTlSlKVG7uRCcPILJ3H9w9z25dw5loVQrG9Ahk+d6CFk00DtaZuHJ3OmqZjF/6xxHlpmmxcwNMip7E3NS5PLjuQb6/4PsW78pdaarks9TP8NJ4cX3v61ErnGXZd9cY8VMpCNd20jLtguBiItHoqmJGOxc/b3yzayYatSXg7gvyY1PE9v4I3pGgVIOxAsIGOLeHD3BdjIIgtLoT3cHNRPs3bRrQli1b2Lx5Mx4eHkycOJHIyEjsdhum6hoM1ZUYqioxVFdhM5nwj4imt5c37l5euHt5oXXXIZO3bsHHKUnB3P3dLrLLDC0yUp1SbWDWnnSC1CrmJ8cSpFG1QJQnUyvUvDHmDa5ceiXPbX6Ol4e/3GKjPHWWOj5L/QyFTMHNvW/GXen8PZEkiT01Bvrq3Ttfw1lBaCdEotFVyWQwfA78cB3kbneuQ+hK3h8E/t2hz0zody2kfA+9L4XcbaALdL4GzulV4gtIEDot/3+MaDTVoEGDiIuLQ6lU1pdblcvVqPz80P+jZO1xdrsdhaLt1r2N6RGIRilnxb4Cbht5btWnNlXUcF1qBj09tHzTJwYfVevdNsR4xfDs0Gd5aP1DhOnCuKvvXchl55aUVZoq+TLtS+qsddzZ9068NCdGkbJNFiqsdpL1XWzasCC0IdFHoyvrOQ384p2jGl2J3QozPncu+v7zWXglwll5SqaAjI0Qcd6J5EIkGYLQqXm5qVApZJQ00LTvdJRKJQEBAWfs6fBPbZlkAHholIzuEcCy1MJzOs8fpVXM2nOUgZ4e/JAc26pJxnFTuk3h3v738umeT7nrz7uoNFWe9bmOVB7h7Z1vU2up5ZakWwhwP7nPx+5qA+4KOXHunaQvlCC0Q2JEoyuTy2HYvbDkbig+AIFdpCvq9i+g2wi49CNntanMDbD/V1j3GjhsYKkFuQqihzunVwmC0GnJ5TL8dRpKmzGi0RFMTQrh3vkp5FUaCfNu/kLnRYXl3Hsgm8n+XnyQGIWmlad7/dMtSbfQ07cnj254lCuWXsF/Bv6HsZFjUcmbNmWr1FBKWlkaf+X/RbRXNNPjp6NTn1qB61Cdkf56d5Ry8UBJEFqLGNHo6vrMdPaO2PSWqyNpGw47LH/IOXoBzmpTPabAJR/A6IchZgw4rM4pZetfd22sgiC0iQC9plkjGh3B2J6BqBVyVuxt/qjG3NwS7t6fzeVBvnycGN2mScZxw8OG88OFPxCpj+SBdQ8wadEkPkj5gMyqTKwO6yn711pq2VKwhQfWPcC0xdPYkLeBURGjuDbh2tMmGRUWGwaHRD9PMW1KEFqTGNHo6pRqGHI3rHwSxjzmXBDdmaV8Cz7RENAd7LYTVadsJig5BAOuh4QLoTofztChVhCEzsNfp2nWGo2OQK9VMbK7P8tTC7h5eLcmHSNJEm9lFfFqRiGzIwJ4JjbUpYukQ3QhfDbpMw6WH2TBwQXM2zePD3d/iEKmINgjmHBdOAabgdyaXCrMFQBEe0Zzd/+7mRY7DU91wxUDlxRX8kNhBXNEkz5BaFXiTkqA/tfB+tfgr/dg6muujqZ17foG+l/r/P/Hkwy7DfJ2gd3sXJ8B4BnqmvgEQWhzAToNB4pqXB1Gi5vSO4T/LNxNYZWJYK8zr0OQJIlnjuTzcW4Jj3QL5t6ooHZTiamHbw+eGvIUcwbMIbUkldzaXHJrc8mvzSdUGcqo8FGE68OJ9owm0S+xSXEvKakkSe+Gvqs1pxWENiYSDcE5fWjw7bDxLRj1EHj4uzqi1mExQM5WqMiC2mJIvgpC+zoTjtxt4BMDbr7gcDjXrwiC0CUE6DVsPFLq6jBa3PiEIJRyGb/vK+T6odEN7mdzSDxwMIf5heW8FB/GTeEBDe7rSnq1nqFh5948tcJqY3NVLS/Gh7dAVIIgnIm4mxKczrsNZHLY8pGrI2k9O78EfTCcd6uzpO+X0+DdAfD745D1F0Se70w6RJIhCF2Kv05NSY0ZSZJcHUqL8nJXMSzOn2WpBQ3uY3Y4mJ2WycKict5PiGy3SUZL+rOsGrsEk/xFM1ZBaG1iRENwcveFATfA1k9g6D2dsxv2zq+dVbbOvwN6X+Zck5G5AQ4sg6psqMqBvO0w4EbQB7k6WkEQ2kiAXovF7qDaZMPLreWb0bnS1KRgHv0plZIac31zwuPqbHZu3JvBlqo6vujdjYn+Ld+pvD1aUVpFst6NEI3oBi4IrU08uhVOGHKXc3rRjnmujqTlVRdAcRr0usz5s28M9JgMYx6H7pMg8RKIGuYc0dn1lUtDFQShbR2/Ae9sC8IBJiQGI5PJ+CPt5OpTFVYbV+xOZ2e1ge/6xHSZJMPscLCmvIbJXeT9CoKriURDOMErDJJnwt/vg62TfeGqPeDi95wjFQ6Hs+M3ON9nXYlzNGfck3DDb3D+nS4NVRCEtuWvcz7Z7oyJhq+HmiExfiz/R/O+IrOVS3cdIcNoZlHfOIb56F0YYdvaWFFLnd0hEg1BaCMi0RBONuw+qC2ClO9cHUnL0npCv2uc/18uP9HxO3cbyBUQ1h80egjq5UxKBEHoMupHNDpZL43jpiQF8/fRMsrrLGQZzVy08zBVNjs/94unbxfrI/F7aRWRWjU9PUQ3cEFoCyLREE7mHw+JF8Gmt53N7Tq73K0QnCSSC0HownQaJVqVvNN1Bz9uYmIwkiTxVWouF+08jFwGv/SLo3sXu9l2SBK/l1Yxxd+r3ZTuFYTOTiQawqmGz4GKDEj72dWRtK6aIig/eqJ3hiAIXZJMJuuU3cGPC9Br6NnTj//VVuGnUvJLv3gi3TSNH9jJpNQYKLLYmCSmTQlCmxGJhnCq0H4QMwY2vHliLUNnlLMVFFoI6evqSARBcLHO2B38uI0VNeyN1GKvsfJlz2gCNZ2rslZT/V5ajY9SwXleYgRbENqKSDSE0xs+B4pS4cifro6kdUiSs5RtaD9Qdr0ne4IgnCxAp6G0E45oLC+pZNbuowz09EC1vZQthztfY8KmWlFaxXh/T5RyMW1KENqKSDSE0+s2EsIGwMY3XB1J66gpAJUbxI52dSSCILQDAfrON6KxoKCcm/dmMsnfi/n9YhkU7s2KvQ037+vMMo1mDtaZRLUpQWhjItEQTk8mg+H3Q9YmyN7i6mha3rbP4cgq8Il2dSSCILQDnW3q1Kc5Jdx7IJurQnz5qFcUarmcKUkhrD9USo3J6urw2tyKkio0chmju1ApX0FoD0SiITSsx1Tw7wEb33R1JC1LkmDPAgjqDYquOVdZEISTBeg1lNVZcDg69ro0SZL4b0YBTx7J486IQF7vEYHiWIWlyb2DsdgdrD5Q7OIo296K0ipG+OjxUCpcHYogdCki0RAaJpfD8Pvg0HIoSnN1NC0nZytUZUPSDFdHIghCOxGg12B3SFQYLK4O5aw5JIknj+Txv8wiHosJ4cnYkJPKuIZ5u9E3wptlqV1r+lSZxcbWqjoxbUoQXEAkGsKZJV0OnuGw6S1XR9Jy9i4CfShEDnV1JIIgtBP+uo7dtM/mkLj3QDZzc0t5pXs490QFnbZXxBUDw6kx2TBbu0CfpGNWlVUjARP9PF0diiB0OSLREM5MoYKh/wepi6Ai09XRnDu7DfYtht6XOUdsBEEQgMBj3cFLazreiIbJ7uCWfRksLqrgg8Qobgjzb3DfC5JCGNzNj/SS2jaM0LVWlFbR39O9y5b1FQRXEndaQuP6Xwdu3vDXu66O5NxlrIO6EjFtShCEk5wY0TC5OJLmqbXZuWbPUdaW1/BF725cGuRzxv293NWYbXY2Hy1vowhdy2h3sLa8RkybEgQXEYmG0Di1Owy+HXZ9A7UdfBHh3h/BN1Y06RME4SRuagV6jbJDVZ4qt9qYkZLO7hoD85NjmdDEm+m+Ed7sy6/GYnO0coSut6GiBqPDIbqBC4KLiERDaJrzbgW5EjZ/6OpIzp7VBPt/dY5mnGbusiAIXZt/B+qlUWC2cMnOI2SbzCwf0J3zvXVNPjY5whur3cH+gupWjLB9WFFaRYybhnh30ZhVEFxBJBpC07j5wMAbYdtnYKpydTRn58hKMFdDbzFtShCEUzm7g7f/NRqZRjMX7TxCnd3OL/3iifPQNuv4IE8tod5aUnIqG9zH4ZAwWGznGKlr2SWJP0qrmeTvedqF8YIgtD6RaAhNd/5dYDPB9s9dHcnZSV0IwX0goLurIxEEoR3qCN3B99cauWjnYdQyGb/0jye+mUnGcX0jvNmbV3XS9CmHQyKn3MAP23K46cttPPJjakuF7RI7qw2UWm1ifYYguJBINISm8wyB5Kvg7w/AanR1NM1jqoZDv4tF4IIgNMhfp27XicaOqjou3XWEQLWKn/vHEa5Vn/W5+kZ4Y7Y5SMuvJrvMwHdbsrnj2x3MWZDCgu05qBRyft2TT3FNx1oc/08rSqvwUykZ6OXh6lAEocsSiYbQPMPuBUMppHzn6kia5+Ay52hMr8tcHYkgCO1UgF5DaTvto7GuvIYZKen08NDyY99YAtTnVqrVZHVQVmvm0cV7uG/BLhbuyGHNgRJ6h3nx+uXJfHrdQAZF+fLDtpwWegdt7/fSKib4edZ3RhcEoe2JRENoHr9YSLwYNr3t7EnRUaQugsgh4B3h6kgEQWinAvQayg0WrPb2VY3pt5JKrt1zlCHeHnyfHIuXSnnO53x5+X7SCqoxWuxckBTCf2f0YUJiEHKZjG7+zhGAqUnB/JZaeM7XcoUjBhNHDGYxbUoQXEwkGkLzDZ8DlVnOxncdQV0ppK+G3tNdHYkgCO2Yv06DJEF5XftZEP59QRm37s1kSoAX85K64a5oma/thBBPfNzV9An35vxYP+IC9UxLDuG31Pz6feIC9dSardSaO9BDpWNWlFThJpcx0lfv6lAEoUsTiYbQfCHJEDsONr4JkuTqaBqX9rPz116XujQMQRDat4Bj3cHbyzqNj3OKmXMgh2tC/fggMQq1vOW+sqf3Dye3woiXm4qdWRWYbXb6hHtTWmvh/TVHyCqr44ftOSQEe7bYNdvS76XVjPTVt1hiJgjC2RH/AoWzM+J+KN4Hh/9wdSSNS/0RYseAh7+rIxEEoR2rTzRcvE5DkiRePVrA00fy+b/IQF7tHt7i6wwifN0J9tJitTvYl1+NQi4js6yO+EAde3IrGfe/dfy+r5BxCYF4qBUteu3WVmKxsr26TjTpE4R24NwnegpdU9QwCD8PNrwB3Se5OpqGVeVC9l9wyUeujkQQhHbOz8P1IxoOSeKJw3l8nlfK4zEh/F9UUKtd69rzo/huazYqhYw3/jjEwh259Ivw5tXpfdhfUEP/KG80yo6VZACsLHU2Ipzg1zFHYwShMxEjGsLZkcmcazVyNkPW366OpmF7fwSlFnpe4OpIBEFo59RKOd7uKpdVnrI6JO7Zn80XeaX8t0d4qyYZAFcNjmR6/zDSS+r4fFMGPYP1vHBpb7zd1QyJ9UOjVLAyrYib5m3jl5S8Vo2lJa0orWKQl8c5V+YSBOHciREN4ex1nwwBCbDxDYha6OpoTi91kXPERSuebAmC0LgAnWua9hntDmbvy2RNeQ0fJkZxSZBPq19Tp1Fy+6hYPLUqtmdV8NbMvgD8kpLH/K05bMssRy6TYXU4qDBYuLhvWKvHdK7q7HbWV9TwYLcQV4ciCAIi0RDOhVwOw++DxbOhcC8E93Z1RCcrPQyFe2Dkg66ORBCEDsIV3cFrbHauSz1KSrWBL5O6MbaNpvxIkoRSIWdInB9Ldudz1aeb2ZFVgZtKwfjEIP53RTLbMss5VFTLDUOj2ySmc7W+vAaTQ2Kyv3i4JAjtgZg6JZyb3tPBK9JZgaq9SV0EGk+In+jqSARB6CD823hEo8xiY0bKEfbVGpmfHNtmSQaATCajqNrExDfXsye3ihqTjZcuS2LZvSO4cVg0v+4uYPX+Yq4cFMGExNadxtVSVpRWE++uIdZd6+pQBEFAjGgI50qhgmH3wPKHYOzj4BvT7FNkldXx+75CssoMZJcbyK0wUmGwEOrlRqSvOxG+bnQP0jMlKQSdpol/ZSUJUhdCzwtBJb5wBEFomgC9hn35VW1yrXyThZm70ym32vmpbxy99e5tct1/CvLU8sm1AzlUVEN2WR0z+odztLSOj9cdxdNNyaI7hhLq7dbmcZ0NuySxsqyKWSF+rg5FEIRjRKIhnLu+V8PaV+Cvd+HCpo1s2B0Sqw8U8/XmLNYfKsFdrSDKz4NIXzfG9QzE211FfpWJnHIDK9OKmLsxg2d/TePSfmFcc34UPYIbacJUkALl6TD1v+f+/gRB6DLaaurUUYOZK3YfQZJgSf84lz6Bn5AYRGyAB2+tOsz87dl8tyWbAZE+3D46lhCvjpFkAGyrqqPcahfdwAWhHRGJhnDu1O5w/h2w7jUY9QjozzzEnpJTyb3zd5FVZiA5wpvXL0/mwj4haFUNl1HMrzQyf2s2P+7M45fdeUxICOKpab3wcmugqsj+peAbC91Gncs7EwShi/HXaag22TBZ7Wf8TDoX+2qNXLk7HS+lggXJsYRp1a1yneaI9vNArZDx4tL99AzxJDnCm905VVQbbRRUGVEr5PQK9UIuB722fVZzWlFaRYBaSX/Pth8ZEgTh9GSS1BFaOwvtnrES3uwNg26CCc+ddhdJkvhmcxbPLU2jV6gXz13ciz7h3s26jM3uYH9BNavSitCqFVzSL+zUJ24Oh7MSVkBPSLjw7N6PIAhd0rpDJVz/+VY2PTKWsFaYMrStqo5r9hwlSqvmu+RY/NXt43mfJEks2pHLvL8ykctkKBUy/HUa9uVVEeipJSbAgz/3F9Mn3Iuvbx7s6nBPIUkSQ7fsZ6i3jv/1jHR1OIIgHNM+PuGEjs/N25lkbPscht/v/PkfzDY7Dy3awy8p+dwwNJrHpiagVja/FoFSIScp3Jswbze+3pzFu6uPcFm/MAZG+57YqTwdKjKh16Xn9JYEQeh6AnQnmva1dKKxpqyam/ZmkKx356s+MXi2s2Z4fSO8ifJ156HJPYj212G1OzBa7ezIquDF3/ZTbbKSXlyLwyEhl7dsp/JzdchgJsNo4dk4MW1KENoTkWgILef8O2HzR7DtMxj5QP1mh0PiPz/sZmVaEe9e1Y9pyaHnfClfnYY7RsexaEcOX2/OQq9V0iP4WLWWrL9B5Q4+3c75OoIgdC0B+tbpDr6kuJK70rIY5avn017RuCnaV9FHmUxGbIAOHw81O7MrOVhUy297Clh/uIQ6s42hsf7cNiKGxFBPHJKEnPaVaPxeWoWbXM4In0bW7wmC0KZEoiG0HH0w9J0Fmz+EIXeByvk08NXfD/BbagEfzOrPlKSWa6KkVsq5clAkFQYrX/6VxUOTe+CtlUPedug2wtnnQxAEoRl8PdTIZbRod/Bv88t48GAOlwT58HbPSFTtbDTguE3ppezIquCH7Tko5XIGRPnwnwndGRLrR6i3G24qBTJZ+4x9RWkVY3z17S6BE4SuTvyLFFrWsHvAWA67vgHg678z+XjdUZ64ILFFk4zj5HIZ1w2JQqmQ8cWmTGwF+8BSCxHtbw6xIAjtn0Iuw9ej5SpPfZBdzH8O5nBtqB/vJbTfJANgW2YFkgSJIZ58et1APrt+INcOiSYuUI+7Wtluk4xKqw2HJHFxoLerQxEE4V9EoiG0LN8Y6HUZbHqHlXvzeHrJPm4a1o2bh7feNCa9VsUNQ6PJKKtj6/6joA8Fr4hWu54gCJ1bS5S4lSSJl9LzeS49n3ujgnilezjydnqjftz/jY3jpzuHkBjiSbnB3GpVt1raUaOJiX5ejG/DZoeCIDSNSDSEljf8PnZXKPm/73cxMTGYxy9IaPVLxgTo6BWsY2OpB1LEYGjnX+iCILRf/jr1OSUaDknikUO5vJNdzFOxoTwaE9JuRwP+SaWQ46FRkRTuTUp2JR2lKOVfFXVISHi0s8X1giCIRENoBdmqWG52PE6iIpe3ruiDog2mCjzzzDPcPqY7D181CXmvi5DJZPTs2bPVrysIQucToNec9RoNq0PirrQsvs4v440eEdwZGdjC0bW+vhFelNZayK80ujqURpnsDg7WmUh2QVd1QRAaJxaDCy2qos7CDV9sRefhwWem+9BmRELPqW1y7V7dQpj8yIdEhYZy+cAIlErx11sQhOYL0GvYkVXR7OMMdge37ctkXXkNH/eKZloHXTPQPUiPm0pOSk4lYT7t+wY+rdaIVZJIFk36BKFdEiMaQosxWe3c+tV2Ko1W5t06Et/IXs7Gec0Yfl+1ahWzZs1i/Pjx3H///WRlZTXtQLsFpWRmYk8/Mg1qfPwD8Pf3P8t3IghCVxaga/4ajWqbnVm709lUUctXSd06bJIBx/oVhXmTklPp6lAAmJtbwtLiyvqfHf/4TtldYyBUoyJA3T67lQtCVycSDaFFHO+VsTe/is+uH0i0vweMuB9yt0HWpiad47///S8TJkzg+++/588//+TNN9+kb9++7Nq1q/GDqws4XFDNdVfM4LO7L+DSGVeSnZ19ju9KEISuKECvwWCxU2e2NWn/UouNGbuOsL/OxA99YxnTCRYl94/yRi6TUdaCZX7P1u4aAw8dyuGz3BKA+kX1dofE3lqjmDYlCO2YSDSEFvHy8v0s21vA21f2o3+kj3Nj/EQI7AUb32z0+PT0dB555JFTtldWVnLrrbc2evzgMAXzHp3JH3/8weX3PsOh9HRGjBhBTU1Ns9+LIAhd2/Hu4E1Zp5FrsnDJrsMUWKws7hfHIC+P1g6vTXQP0mOw2Fi1v9jVofBCfDiXB/vyYno+9+zPIsvo/HM5WGek1manj75lO7gLgtByRKIhnLN5mzL4dEMGT1+YyKRewSdekMlg+Bw4sgoKdp/xHCtWrMDhcJz2tR07dlBUVNTwwcYqpsTC5dfeSp8+fbjy0mlMvP9tKisr+eGHH87mLQmC0IU1tTt4usHExTsPY3I4+KVfPIm6znPDq1TIqTXZ+GJThqtDwVOp4Nm4MD7uFc2+WiPPpeeTY7Kwr9aEt0pJlJvG1SEKgtAAkWgI5+SPfYU8uzSNW4Z344Zhp+mV0etS8I5qdFTDZjvzFAW73d7wi3nbADmEDQCgX6Q3Sq2OsOgYjhw50thbEARBOIl/E0Y0UmsMXLTzCO4KOb/2jyfGvfPd7E5OCuFAYQ3pJbUujeN4md2J/l48FhPKoToTE7cdZEFhOb083JDLZB2mFK8gdDUi0RDO2q7sCu6Zv4spvYN5bGoDvTIUSme38LRfoCy9wXONGzeuwdd69uxJaGhow4Fkb4Hg3qDRAeCn0xDsLpGVkUFISMt3IxcEoXPzclOhUsgaHNHYXFnLZbuOEK5V8XO/eEI06jaOsG2M6h6Au1rBir2FLovBLkkn9SAZ5+fJuvN6Mtnfi901BkqsVoAO0adEELoikWgIZyWrrI6bv9xO71Av3riiL/Iz9croew24+8OmtxvcpXfv3syZM+eU7RqNhg8++KDhc9eWQHk6D3y5hXXr1pGZmclff/3Fj6/OQULGJdMvb87bEgRBQC6X4d9A5alVZdVctTudJL07i/rG4afuvGW0tSoFY3oGsnxvgctiUPwrgai22TE7JEb66vBTKXk9s4g79mViFyMagtAudd5PSKHVlNdZuOGLbXi7qfj0uoFoVY10Y1Vp4fw7YO3LMPpR8Dz9KMMbb7xBcnIyn3/+OUVFRfTp04dHH32Ufv36NXzuzPWgcie3qoarrrqKsrIyAgICOO/8ofS+4kuKrGoiz+G9CoLQNfnrNJTUWk7atqasmhtSjzLOz5OPE6PRKjr/s7qpvUO467udZJcZiPRr2+pOn+eWkG4wo1MqOGIwUWm1o1fKyTZayDdb8VM5b2GyTBYUMhkOSaqvSCUIQvsgk8TERqEZTFY7sz7dTFaZgcV3Dmv6F4+pCt7sDQOuh4kvtEwwdissexDCz4N+s055+c2Vh/DQKLhtZGzLXE8QhC7jpnnbkMtkfHb9QMBZXWrCtoP09XTnq6QYVGcaxW2AxVKKwZiFyZiL0ZiN0ZiD1VaFVhOCm1sEbm4RaLURuLtHo1C0j4XldWYbA15YyZzx3Zk9qu0+Sy0OB1fvOYoCGRU2GxFaNTqFAoskEa5Rsba8hgGe7kzw9yLeQ0uEVo1dkk4ZAREEwbXEiIbQZHaHxH3zU0grqGb+bUOa93RL6wWDboGtn8B5s8E74twDytoE5mqIHX3al/tFePPL7jwMFhvunXh6gyAILS9Ap+FAkbM8tsXh4Na9mbgr5LyfGNWsJMPhsFJSuoq83G+oqNxcv12l8sXNLRKVyouKyi3kFyzC4TACIJdrCQ66iPDwa9Dre7XsG2smD42S0d0DWba3sE0Tjb01RtQyOTeF+zPuX31J1pZVkWu28ERsKB7KEyPqIskQhPZH3H0JTfbSsv38kVbIx9cOpG+Ed/NPMPT/IHUhLLwBblwOynNYQFmVA7vnQ9Rw8Dz9QvG+kd78lJJHam4Vg2P8zv5agiB0Of56NaVHnGs0nj2Sz95aI0v6x+OratrXptlcQl7+9+TnzcdsKcLLawCJCa+h0/fCTRuOUqk7aX9JkrBYyzAZsykv30Re/nzyC37A07Mf4eHXEBQ4FbncNYvOpyQFc+/8FHIrDIT7tM30qd21RipsNt7ILOTjnGISdG701bsz0MuD1FoT8e7a+iRD+teCcUEQ2g+RaAhN8vnGDOZuzOC5i3sxITHo7E7i7guXz4PPJ8OKh2Hq/0B+FnOcTdXw9wegC4J+Vze4m7e7mlh/D3ZlV4hEQxCEZgnQaSipNfNzUTlz80p5uXs4/TybdpNdWrqafWn/QZJsBAddTFjY1ej1DVTmO0Ymk6FR+6NR++Pl1Z+oqDsoLfuTvNxvSUv7D7k5X9K79zu4ubXAaHAzje0ZiFopZ8XeQm4ZEdMm17wmxI9+endSaw2k1hjZX2tkW1UdX+aVUmSxMt7Pk8N1JuI9tCLJEIR2TKzREBq1Ym8Bd3y7k9tGxPBoQ2Vsm2P7F7B0DsRPgEs/diYgTVWR7Zx+Zal1LizXnznpWX+ohJ925vLipUl4aEReLQhC0/y2p4A7ftmDcmQIk/w9+SAxqtEbWofDxtGMt8jK+hB//3EkJryGSuV9zrFUV+9h7957sdoqSOj5CoGBk8/5nM11y5fbqTBY+PGOoW1+bYCjBjMpNQb+KK3i78pagjUq3ORyeuncmBXqR69O1CxREDoTkWgIZ7Qjq4JZn25mQmIQ71zZ78xlbJvj8Cr46RZQ62H0I9D7MlCd4YuiMgdSvgWbCTReMOAGcPdp9DJVRgtP/rKPqwZFMiRWjGoIgtA0W46WccmedKICPfjzvJ4nrQU4HbOllH1776WiciuxsQ8QFXkrMtnJI7bWwkKqlvyK+chhrDm5WHJzsFdWoQoJQR0ejioiArd+ffGcPBm5VnvSsTZbDfsPPEZx8TLCw64lLu5RFIq2axL4445c/rNwN5sfHUewl7bxA1rIvytJzc0p4bDByFg/L3ZWG9hYUYNNgrm9ownTds5+JoLQkYlEQ2hQRmkdl32wifhAPV/dfF7jZWybqzIHfrsfDv8BWm9IuhyCEp2dxN19oSoXKjIh6284tBz0oXDhWxA3BuRNH514589DKORy7hoT17LxC4LQaf2SVcLso3k8FejPnb3Cz7iv3W5g2/bpWK3l9O71Nj4+59e/JkkShs2bqfjuO2pWr0Gm0aBNSEAdHoYqPAKFlxfWwkKsOTlYcnIwHziAwssLr5kz8bnictTh4SedKz9/EUczXsfdLYaEhFdxd2+bAt5VBisDX1zJExckcv3Q6Da55r9Z7Q4eOpzLWF890wKdD5rSDSbuSsvmokBv7owMdElcgiA0TMwlEU6rrNbMDV9sxcdDzSfXDWj5JAOclaeuXujsGL7jC0hbAts/B8l+Yh+VOwT0hKmvQ58rQKNv9mX6R/qwaEcutSYbOq34Ky8IQuOWVdciM9gIs555FFeSJA4cfBKjMYdBA39Cp+te/5q9qor8Rx6lds0aNPFxBD/xOJ7TLkKh82jwfJasLCoW/YhkNFKxYAG64cNxHzQImVyOTCYjLOxy/PxGUlj0CwWFPxIQMAlPfWKLve+GeLmrGBbnz7LUApclGkeMZox2B8l6dyRJQgJi3bX4qhRoW2q0XRCEFiXuuoRTGC12bv5yO3VmO4vvHIq3eysPR/vFOntrTHzB2RujKheM5eAVCR7+cI4L/fpEeLN0TwH78kX1KUEQGldqsbG8rBpNnoEyL8sZ983PX0Bh4c8kJv7vpCTDuG8feffeh72mhvD33kU3blyTFi2ro6II+s/9OKxWajdsoOrXXzEdOID39OkodM5KVVptEBHh11FQ8DO5uV/j7TWI4OALW70q1dTeITz80x5KaswE6Ntu2tZxu2sM+KoURGjVyGQyjv9uPhEbSqSYNiUI7VLnb2sqNIvdIXHv/F0cLKzh8xsGEuHbtp1gUajAtxuEDQBdwDknGQCeWhXJ4V4cLaltgQAFQejsvi8oQy6DkBo7pbXmBverrtnLocPPEhY2i5DgS+q3127YSNZVs1B4edHtxx/Rjx/f7MpIcpUKz7Fj8b3mGixHj1L8vzcwp6fXv65QaAkLm0lI8EVUVP7F0aNvYjIVNfu9NseExCDkMhm/7yts1eucjiRJ7Kkx0EfvfsrvZaLODV0ja2gEQXANkWgI9SRJ4vmlaazaX8R7s/rRJ9zb1SG1GJVSzqsrDlB2hpsGQRAEuyTxVX4ZFwf6EOympqSm4c+MQ4eexd09jvi4J+q3WfPzyX/gAdwHDybqu29Rh4edUzzanj0JuP9+lP7+lH74EdWrViE5HICzJK6PzxBiY+7HIdk5evR/VFRsO6frnYmPh5qhsX4s31vQatdoSL7JQoXVTh99Gz/8EgThnIhEQ6g3d2MG8/7K5LmLezMu4Sx7ZbRTY3sGUWO2s2xv2z+JEwSh41hdVk2OycL1YX71vTROp6YmjaqqnXSLvru++pNksZB73xzkHh6E/fc15JqWmV6k9PLC//bZ6MePo2b5Cso+/RR7dXX961ptKHGx/8HTM5m8/G/JzfsOh6N1HqpM6R3C5qPlbf7Q5qDBRKJOS3f3tp+yJQjC2ROJhgDAstQCXly2n9tHxXLN+VGuDqfF+XqoGRbnz2978l0diiAI7dji4kp66bT007vjr9c0OHUqN+9bNOog/P3H1W8r+fBDzPv3E/b2Wyi8vVs0LplCgefkyfjNvg1rQQHFb7yB6fDh+tflcg3h4VcTFnoVVVW7SD/6JiZTy488TOwVhCRJrExr3Wla//ZWZjHlVjvKs2nyKgiCy4h/sQLbM8u5b0EK0/qE8tCkHq4Op9VcmBTCloxyimtMrg5FEIR2Kt1gIvnYOoAAnea0U6dsthoKC38hNOwq5MdKbTtMJiq/+x6fq6/GLSmp1eLTdu9O4P33owwOpuyjj6lesaJ+KhWAj89gYmPud76Xo29QUbGZlqxi76/TcF43X5a34ehwjsnC1uo6ksW0KUHocESi0cUdLanllq+20y/Cm/9e3qflGvK1QxN7BaGQyVieKqZPCYJwetlGC1Fa5/ScAL2G0loLDsfJN+oFhT8jSVbCQq+o31a9fAX2qip8rrqy1WP85NtvGffBByR89CFhF1/MoLg4li5aVP+6VhtCbMz9eHsNIC9/PkeOfM71119LUlISSqWSSy655JyuPzUphE1HSqkyWM/xnTTN76VVqGQyxvp5tsn1BEFoOSLR6MJKa83c8MU2/HUaPrl2IJpOXrXD213NiHh/ftvT9gsZBUFo/6ptdipsdiLdnKVSA/Qa7A6JCsPJJW6rq1Lw1Ceh0ZxYy1bx/fd4DB+OOqrxqacGg4H//ve/jBgxgsTERC6++GKWLFnS5DjDw8N55ZVX2JGSwl9LlzIsPJzLZs5k569L6/eRy9WEhV1JeNi1VFXtxWI9xO23X8v48eObfJ2GTOoVjF2SWLm/baZP/V5axVBvHZ6d/DtKEDoj0UejizJYbNw8bxtGq53vbh2Ml7vK1SG1iQv6hPLgot0UVpkI9tK6OhxBENqRbKNzmlTUsZ4M/jrnyEZprQU/3YlFyEZTDm5uJxIKe00Npj17CH31lUavUVRUxLhx49i3b1/9tv3797NkyRJuv/12Pvzww0bPMW3atBM/xMfzxpAhfBUUxOp33yFWLsdz8iRkCudNubf3AJKSInj+uXmYLUVs3CjHaGz0EmcU5KllYJQPy1MLmDHgzF3Tz1WV1cbflbU8F3du1bsEQXANMaLRBdkdEvd8n8Lh4lo+v34Q4T5dZ97rhMQgVHK5S8ozCoLQvmWZnCMXkW7OpCLwWFO6f6/TMBpzcHOLqP/ZmpsLgLpbt0avcdNNN52UZPzTRx99xBdffNGsmO12OwuXLsVgszHyyiupXbuGq4YOY9Tw4fX7aDSBxMTMwdv7fAzGTIzGbOz2c8s2pvQOYcPhUqpNrTt96s/yGmwSTPL3atXrCILQOkSi0cVIksSzv+5jzcFi3p/Vn6TwrvXh7eWm4pbh0ZhtjsZ3FgShS8k2WnBXyPFTOUcDjo9olNSeKCBht5uwWIpPSjQsOTkAqMLP/HT/yJEjLFu27Iz7vP32202KNTU1FZ1Oh0aj4fbbb2fx4sWcd9NN+N95JwFqNYHV1RjT0ur3l8tVhIVejod7HDZbDenpr2Mw5jTpWqczuXcwFruD1fuLz/ocTbGitIo+OjfCROdvQeiQRKLRxXy64Shf/Z3F8xf3ZkzPQFeH4xIX9Q2jtMZMRZ2l8Z0FQegysk0WIrTq+s7TbmoFOo3ypBENkykPAK32RFJhzctH5u6OwsfnjOffs2dPozHs27cPu93e6H49evQgJSWFLVu2cMcdd3D99deTlpaGpls33lq+jI/uuZfyuXOp+vVXJJut/ji12hcPjzjkCjcyjr5FWdn6s6pKFertRr9Ib5altt7osNnhYHVZtRjNEIQOTCQaXcjSPfm8tOwAd42JZdbgSFeH4zJRfu6UGSzsyqlwdSiCILQjWrkMk/3k0c5Qby35lSdGNORy59ouh+Mf27QaJIsFHGceKXVzc2s0Bo1Gg0LR+KJntVpNXFwcAwYM4OWXXyY5Obl+NESh0+F78014TruI2vUbKH3/A2zl5f94Dxpiut2Lj+9QCgp/IifnC2w2Q6PX/LepvUNYd6iEOrOt8Z3Pwl8VtdTaHUwOEImGIHRUItHoIrZmlHP/gt1c0jeUByZ23l4ZTeGmVpIY7MnO7EpXhyIIQjsS5aYhz2zB9o9ythE+7mSXn7gJ12qDkcmUGP8x7UgVHgE2G7bCM5fOPv/88xtNNkaPHn1WsTscDszmEyMvMpkM/ehRBNx9F/aaaorfeBNjamr963K5itCQ6URG3ERt3WHSj76OwZDVrGtO7h2M2eZgzcHWmT61orSKcK2KRA9RuEMQOiqRaHQBR4prufWr7QyI8uG1Gcn10wK6sv5RPmSXGShroOuvIAhdT5RWjU2CfPOJaZURvicnGjKZAq02FKPpn4mGsyKSJSf3jOf38fHhgQceaPB1tVrNM88802icjz76KOvXryczM5PU1FQeffRR1q5dy9VXX13/+nXXXec8Z1QUgfffT6ablg2vvUZRWhpVlZWkpKSQkpKCp2cf4mIfQKnUk5HxTrOmUkX4upMU5tUqvYkkSeKPsmom+3uJ7yxB6MBEedtOrqTGzA1fbCVQr+GjawegVorcEqBXqCdKhYxd2ZWMTwxq/ABBEDq9qGPVprJNlvrKU5G+7uSUG5Ak6cTaDW3kySMaYWEgk2HNzQEGn/EazzzzDAEBAaxatQqDwcDq1atxOBx4e3vz1VdfMXDgwEbjLC4u5rrrrqOgoAAvLy/69OnD77//zoQJEwAoKCggOzu7fn+5uzuzPv2UrKwTIxb9+vUDnDf0arUf3aL/j6KiJRQU/oTBkEFo6EwUisZHEqYkBfPun0cwWuy4qVuuz8XuGiMFZiuTxfoMQejQRKLRiRksNm7+chsWm4MFs4fg5dY1emU0hValoFeoJ7uyKxifGERBlZGdWZXsya3E7pC4oE8ISWFeKBUiMROEriJMq0KGs/oUx9Z1R/i6Y7Y5KKkxE+jpvPF2c4ugqjql/ji5Wo06Lg5bRWWj15DL5fzf//0fV111Ffv27WPEiBFEREQwffp0PD2b1vl67ty5Z3x93rx5p2zLzMwEnBWyyr/+GkddHd5XnOhsLpcrCQm5DHf3buTlzSf96BtERtyEVht8xmtN6R3CaysOsu5QMZN7hzQp/qb4vbQKL6WCwV66FjunIAhtTyQanZTN7uD/vttFenEtC2YPIcy78UWIXU3/SB8+XneUp5fsZenuAqpNVgL1Wix2B3M3ZXD14EjuGB0nfu8EoYvQyOWEalT1/TTAOaIBkFNhqE80PD2TMRizTxrl8L16FnKvpj999/f3Z9SoUYwaNaoF30Hj1BERBM6ZQ8XChVR89RXmoUPxuugi5Crngygvr35oNKHk5H5BZuaHhIZegadnrwbP183fg4QQT5alFrZoorGitIrxfp6o5GLalCB0ZCLR6IQkSeKZX/ex9lAJc68fSO8wMfR8OomhnhwqquHPA0VcPTiKiYlBhPu446ZWsDevirdWHeK/Kw7w1pX9XB2qIAhtJNJNXd8hHJxV6q4aFIHyHze8nl59MZkKsNuNKJXORESm0WA+kt7m8UoOCbPRhqnWikqrwM1DhbyRKbJyNzd8r72Wurg4qn75BWtWNr7XX4fSzw8ArTaI2Jg55Of/QlHxrxQWLSEu9n7kcs1pzze1dzAfrUvHZLWjVZ379Kkso5n9dSbmRJ95NEUQhPZPJBqd0EfrjvLN5mxenZ7E6B5ds1dGU2zPrOBoaR3nx/gyZ0L3k6aWjekZiJe7iuvnbiWv0ihGNQShi4jSasj8R6KhVSkI9NRQVntilEMh12IwHsViKUapjAZArtdjLy5q1dgsRhuFGVXUVVkw1lgwVlsw1lpx2P6xeFsGWg8lbno1bnoVbno1/uE6vALcTzqXTCZDN3Qo6qgoyr/8kuI338Lnqitx6+UcvZDLNYSFXU5VdQp79txOXd1B+ibPRSY7NZGYkhTC/1YeYsPhUia0wJq330urUMtkjPXVn/O5BEFwLZFodDK/pOTx6ooD3DM2jpmDum6vjKbYl19FhI8bgXotJqv9lDUs/SN96BPhxeKdudw9Nt5FUQqC0Jai3NSsLKv611YZeZXG+p/Uan9AhsVSgbt7NODsCq4MCsJhMiHXtlw5VkmSqCo2krO/jMKMapDA3UuDu16FX5iuPqHQ6lRYzXaMNVZnAlJjoa7SQnFWDek7SvAM0BKR4EtwjBeKf4x4qMPCCLzvPirmL6D888/RjR2L5+TJyBQKZDIZ3l796N37LXbtupaMjPeIibn3lBjjAnV0D9KxPLWgRRKNFaXVDPPRoVO23OJyQRBcQyQancjmo2U8uHAPl/ULY86E7q4Op907VFTLiPgAzFY7u7IrmNw7hIIqI7uyK5ma5JxrPDUphNX7W6dGvCAI7U+Um4Yyqx2j3Y7bscZ5kb5u1JpPdOtWKNzw8xuDQnFipFMVHIyme/cWSzRsNgdFR6vJ3ldKTZkZN08VcQMCCevug1rb9K9uh0OiNLeGnLRy9q3P5+DWQsLifYhI8MHd0zkVSu7uju+NN1C7Zg3Vy5djyc7G9+qrURxbnO7rM4SYbvdxNOMtvLz64ec38pTrTO4dwhebMrDYHOdU3bDCamNLVS0vxYc3vrMgCO2eKKnTSRwuquG2r7YzqJsPr0zvI+qON0GPID2peVX0ifBmZ7azS/jholru+X5X/T5F1Wai/T2w2M7c8VcQhM6hl4eWCX6e1NpOJBZJ4V5E+Jw8fVKl1GO1Vdf/LNdqsRUXY6/692hI8xVnVZOyMpuDWwrQeqjoNymS4TPi6dYnoFlJBoBcLiMw0pMBk6MZdnkcYfHe5B2qYOPCIxzdXYJ0rDmhTCZDP3YsfrNnYysqoviNN7EUnOiPER19J35+I9mXdj8mU/4p15maFEyNycam9NJzeu+ryqqxSzBJlLUVhE5BJBqdQHG1iRu+2EaIlxsfXiN6ZTTVJf3COFJcS4BOTWGVmcIqI/FBOtRKOZuPlgHgplIwKNoHtVLe5CZWgiB0XBFaNb10Wmr+8XBBLpORXWHEZj+xTSZTYLWWn/hZo0GmUmOvrcVhMmGrqMBRV4fDYKCpJEkidW0uv767G7VWwfkXx9BvYhQBEXpk/6q+5HA4qDRVklGVwc7CnazOXs3f+X9zoPwAxXXFWOyWU87v4aWhx+AQRl3Vg9j+AWTuLiV1bS4Wk61+H21cHAFz5qDw86Nq8U84TKZj71dOr8T/oZC7kbr3HhyOk8/fI0hPjL8Hy1MLmvx+T2dFaRV99e4Ea0Q5dkHoDMTUqQ6uzmzjpi+3YXM4+OLGQXhqxYdzUwXoNYyI92fdoVJyKww8tngvtSYbWpWCtPxqzo/x447RsfX7i1EiQej83BRyCs02CixWYjycU6D0xz5Xa0w2fDzUACiVOkzmE4u/ZTIZDquF2j/+oKquDkedASwWFP5+6EaPxn3AAORqdYPXtZhsrP3mAIe3F9N3fAS9R4Yh/1cfH4vNwv7y/aSWplJqLMUhnUh83FXumG1m7NKJkRidSkd33+708e+Dr5tv/XaFUk5sv0B8gt05vL2Y1LW5dB8cjN7H+X6VXl74XnM15V9/Q+VPP+Fz1VXIZDJUKh96J73Hjh0zOXzkFXp0f+qk9z8lKZhvt2Tzot2B6ix6EJnsDtaU13BPpChiIgidhUg0OjCb3cHd3+0ks9TAD7OHECoqIzXbPePi+WT9UQ4U1uDroWZqUgizR8UwIj4AgC1Hy/gjrYg/0gr5/tbzCfdxb+SMgiB0ZDKZjAC1khLLiaf8+mPTlf6ZaCgUehx2Iw6HDblcienIEcwHDwLg3n8AysAAkMsxHzxI1aIfcVTXoBs7pr5fxT9VlRj47f091FaYmXhLL+IHnrygOrMqk8WHF7M8YzkGu4GhoUM5L/g8wjzCCNWFEqwLRqPQ4JAclBpKKagrIL8un0MVh3h166tUW6oZFDSIy+IvY2jYUJRy5/vxDdGRMFTB6q/2k/JnDkMviyVhSCgASh8f3PokkXffHCSzBb8bbwDAyzOZ+PjHOXToGby9BhAUdEF9nFN6h/D+mnQ2Hy2r/wxtjo2VtRjsDjFtShA6EZFodFCSJPHkL3vZcLiUz28YRGJo0zrKCifrHebFS5clMWinD3+ll3HD0GiMVjvv/HmY3/cVUme2ERekp8Zk47st2Tw0uaerQxYEoZX5q5UUma31P7upFChlMmpMJ7Yplc7SqzZbHSqFjpply1F46FCFh+N5wVRkSufXq27IEOq2bKF2wwbU3bqh7X5yBTur2c667w8BcPmjA/EJ9qh/zWw38+rWV1l4aCG+Wl+mx0/n8u6XE6I7fWM8uUxOoEcggR6BJJPMlG5TuD35dv7I/IP5B+dz1/+3d9/RcdTXAse/M9ubVmVXbdWsZsu9d2yTAAZs0wkYO0ASSAgkQMjLIyHJywsQCCkkISGhhADBGByKIXlgHFONG+69SJbVe1ntrrbvzrw/Vl5ZuADBgGz/Pufo2Jodzf5GOmd27vx+9963b6HEXsKDcx6kOLUYgJQMEwu+M5b3/1HJ20/vR6fXUjohMaNgmzOHtGuuof03v8E0ehTmCRMAyHMtpqdnE/sP/ASH42w0msQDmBG5KRSkm3l9V+t/FGis7PRQaNQzzHLyqnYJgvDFEov5T1F/frea5zY2cN9lo5hV/skv6EKCoqhYDVpG5tqp6/Jz5SPrWPDHNSz5oI5Lxrm4a14Fv7xsFD++sIIXtzR+0cMVBOFz4NDpaIn05yBIkoTNqMUX7p/l0GqtAMRiXkL796OEQ5imTUVFBVlG6vsCME2YgD4/n3Bl5YD3URWVQ9s7kGWJBbeOHRBkNPoauXbFtbx68FXumnIXq65Yxa3jbz1ukHE8Bo2BBSULePbCZ3lu3nNIksTVr13NipoVyX00OpnZ1wyldEImbz+zj562/rySzO/djmncWJq+dwexrq7k76O05E5isV5aW/854Pd0wahs/r2ndUA+y8ehqCorOz2c77CLZaqCcBoRgcYp6JVtTfx65QFu+3IZX5mY/0UP55QmyxIr97RyxaPr8UfiZFgNfHVqITqNzC1nlzJ/dC65qSbmj84lGI1T2+n/oocsCMJnzKnX0BGJofRVZFKUKFajFl8wgqqqqKra9xRfJh7vRQ0GkXR6DEOGgKqi+AdeJ2StFp3LRexDDf1qdnTgbvUzZcEQbOn9T/FXN67mqv+7Cm/Yy5ILl7Bw2EL0mg/ld7Tvh81/g1U/g39cB49/GZZcAa99H9b9EapWQTw24EdGOkby7IXP8qWCL3HXmrt4cveTxPr2kSSJs786DFu6kTce20U0ksj1kHQ6XL99EDUep/muu5LHMplcOBxn09j07IBCGReOzKHLH2FjbTefxHZvgPZITCybEoTTjAg0TjHrqjv5wYs7uGJCHrefI5rInQxzhjr5w9Vj+dH5w8hLNXHlxDwURWV3U3+ZytouP06rgRoRaAjCac+h1xFXwRdP3Gxv3bYYs9xIbziOJEl9XzJarZVwuI2oNYRPrcatbqXLspmDh35FODKwzKtstqAe8ZS/q6mXg1s7yCm14yzsX/r6r+p/cctbtzA+azzLFiyjIqOi/yCxCOx+GZ6cB3+ekggq9rwMgS5wlINGB3Xr4J374dkr4Pej4N0HwNdfptasM3P/zPv55cxfoqgKb9W/RVxJnKfeqGXBbWPIG5bGgfXNyQBCl5VJ9r33Ej5wgNDBg8lj5eddRyjUiNe7M7ltdJ6dYVk23j3wyfoPvdHpIU2rYbLd8tE7C4JwyhA5GqeQyjYf33pmC1OLM7j/slFievkkMWg1zB+dS0xReLeyg30tXr5ckckPXtzJ/8wfjiTBva/tJRxTGJZj+6KHKwjCZ8ypT3w0uqNx7DotGtlI2PsI8dB4mpuzica6iEQ68fn2Eo/7kVUd4ZI6NE0HUcwBFJ9CTvBKDHoHAEo0SnDHdvSFhQCEA1F2vdtIRq6F/IqM5PtWuiu5e/3dXFRyEffMuAdZOuJZqymkMQAAO85JREFUYM37sPxb4G2CwplwxZMwbB5oDUefgKpC6y7Y/AR88Cj4WmDYfCg5G+REx++5Q+biDrlZ37ye6p5qytMTTV6tdiNjzsmnuzmAvyeMta8SlW3WWUi/+AVqrH+WJC1tGqUlPyIS6UhukySJ/5o7lL0tHhRFRZY/3ufUG51eznGkoP2Y+wuCcGoQMxqniDZviOv/thFXqok/Lxr/H5UOFE5MI0mMctnZVt/D7eeUkWHRc81fN3D9kxuJxVXuvngEOXZR2UsQTndpWi2yBN3RRPJ3cckdyFIES2w5DU1L6ehYide7E0UJIctG0h0zyZK+TFb1RIb4FzLKfB8pttHJ48k6HdrMLKyzEx21m6p6UFUYNScveSPuj/r5wXs/YHLOZP5n2v/0BxmKAu8/CH+/CDJK4Nvr4WuvwcjLjh1kAEgS5IyGBX+A27bB8Ivh4CpY/ycI9c/UphnTKLIXsaNjBy29/f0vbGkmZI1Ew/5ulL5ZGEmjQZOWRqS2DqXv9yJJMqlpk1FViMfDyZ8f7UpBr5Fp9gY/1u+7JhCmMhDifLFsShBOO2JG4xTQG47xtSc3oQJPfW1ysqa7cHJJksSEwjQ+qOkmrsAfF45jX6sXTyBKfrqZ4TmispcgnAm0skS6VktHX56CPWUMw4b9mde3r6Usx0B2ajYGQzbBUBM9PZvIyryQUGozPdvexKvU0OpbQ0bzIfLzrkWJRIi73ZhGjyLwwUb0o0bT3dRL3tA09KbER7Cqqjy3/zkmZk/ku2O/i0HTF0AocVhxJ2x6HM76Lzj7LpA1n+xkjPbETIbdBev/Am/+HM76HtgT+X3D0ofR5m9jbfNaLii6AIs+sXTJmW/F3ezH0xFMJqkbCgoIbd1GpKYGY3liBsRoyKa7ey1+fzUpKcMBcNiMlGfb8AWjkPrRQ3yj04NBlpiTJmaMBeF0IwKNQS4aV7j52a00dAd44dvTyLaLsn+fpbIsKxaDlq31bi4e62J6ieOLHpIgCF8Ap15L+xGVp2xmE1G5HEWXjtWaQjBYT33dY3i9O2hufh7iCpJOAl8MNRzFu+Zt2hrbE53BJRlJo0GNhDGk5SBpdLiGpSWP3RnsxKazMbt8NqnG1P5BHHoH/B1w9XMw7MJPd0KOcjjnZ7Dmd7DuYTj3f0FrRJZkpuVO443aN9jUtok5+XMAMFr0WNKMdDX1JgMNjdWKLs9F+EAlhrIyJElCozFiNhXS69+HzTYMSZKRZQmjVkObN0RFzkfPUqzs9DArzYZF+wmDKEEQBj2x/mYQU1WVnyzfzbqDnTzy1QkMyxZP1D9rGllmTH5i+dSRlVQEQTizOPQ6Wo8sZyvLWHQyvlCMHs8WPti4gECwFqPRRVbmArJ9s0n/oIDsqknkHphBtu4CUBR02TmkLbya1CuvJOMb36BXsZBVbMNs668i1dzbjE6joyz9iAIfTVtg779gyrc+fZBxmCkVpt0MET/Ub0zkcgBGrZFRGaNo7m3GF/b1/w5cFgKeCAFff8BlKC8n7ukh1t6f7G2xlBGP+YkckQCfYtIRiakfeR3tisTY6PGLZVOCcJoSgcYg9qe3D7JscwMPXD6aGaXiyfrnZXx+Kt3+CPXdgY/eWRCE05JDp6U5HB1wo2wz6fAGQ7Q0v0hGxmwmjP8HTud5OJ3nkTf52xRc9kOcc67GkllK6tx5GCsqkHRajKWlGMtKiadlobOZcbqsyWO6Q27aAm2McY7pf/NAN2x+EpzlUDDt5J6YNQum3ARaPfj7S9AW2gvRaXQc7OmvKmVzGNEaZLqbepPbdNnZaGw2wtXVyW16fSKhPRr19r+NQUNcUQlG4ycczqouDypwnkM8SBOE05EINAapl7Y08ttVldxxbjmXT8g76vWeUA+7O3ezqm4Vuzp2UeepoyfUg6J+siZJwtFKM23YjInlU4IgnJkcei1BRSGkHBFoGLX4wypu9wZyc65Eo9EjyyZiMS+a1BT0QwrR5eWCXosSCKDNzCLWlbiZV2Ixwv4IGhn0R+TZHXQfREamKKWo/82r3078O+FricTuky17RCJHw12dSDYHtLKWYnsx1Z5qYkpiJkeWZdJzrbjbA8RjfUnhsowmM5O4pz+pXJa1yLKReLy//PfhXEK3v3825FhWdnqZkGLGqRe5h4JwOhI5GoPQhkNd3PnSTq6amM93v1Sa3B6IBlhRs4JlB5axr3sfABnGDC4tvZTOUCfheJgUXQrTXdOZmjMVs878RZ3CKU2WJcbkpbK9vodLxrpEGWFBOAMdLnHbE41h6muWZ9VrqO+Kky5JKEqiypJWayUe9yNJGlRFQWOxIWkNqNEomox0FF9iKZKs1RLwRTFadEh9laYi8Qg1nhpGOUehOZzkHY9C7ftQOAP0n+E13GSHjn0QdIMlMSPxr8f/xc9/+nOuv+l6nvzLk6iqSkq6kbYaLyF/BHOKgXA4zE2//CVbt22jsrmZ+fPn88orr6DVWonF+pddWY1aFFWl2x/FlXbsIQTjCu92+7ijKOuzO09BEL5QItAYZNq9Ib6zdBuTitK599KRyZvcVw++ygMbH6A32svsvNlcP+J6iuxF5FvzMWqNdIe66Q51s797P+ub1hOKhci2ZDPGOab/A0z42MYVpLKptptGd5D8dBGwCcKZxtH3hN0djZFj7As0jBrCcQWLdThd3atJTZ2MVmsjEukiFuslHg8SV/zESnV0BdZjTRmKGomgBIMo0Rixjg4kv4qaVYYky3QHu4mpMVwWV/8bN22GsA+K53yscdbW1vL3v/+dyspK0tPTmT9/Puedd95H/6DeCgY79NSDJYNNmzbx9BNPM2RoMf5QYtmoJEnozVokIBJSsNgl4vE4ZquVb557LisaGpKH02ptAwINgzbRr6OjNwQcO//ifbePoKKI/AxBOI2JQGMQicUVvvPcNmQJHlo4Dp1GJhwPc/8H9/NS1UtcVHIRN4+9GZfVddTPZlmyyLJkUZFRwQVDLqC5t5lt7dtoD7Qz0zUTq956jHcUjqfYaaXYaWFbvVsEGoJwBjJrZKwamc5of0L44eVAaZnX0db4SzZvuRK7fRzRqIdu9/uE/I2Ew+3Ewl6inh5ypXmkYKbn5eWo8ThSh4dQ0Eu86Ba0dju90UTuw+GSsgA0bYWMMkjJ+cgx/u1vf+Pmm28mHO7vYfHHP/6Riy++mKVLl2I2f8S1KyUHOvbT63GzaNEiHn/8cf7r+z8k2qpl84patDoZvVmL3xuh7ZAHJaZgsul56DcPEnhrFVtfew1vMNErQ6u1Egq3Dji8XivR4Q0f650BWNHpocRkoMwiqikKwulKBBqDyIOrKtlS5+b5b07FaTMQV+Lc8tYtbG/fzt3T7+bSsks/1nGMWiPFqcWkGlJ5v+l9Vtau5Pyi8wd+mAknpJElgpE4v1yxn/mjcz92d1tBEE4fDr2O9kh/oJFiTPS3ULQVVAy7j9bWV+nsehdFiWA05qLr0mNqL0DvtaILGDGoTiSHlrjPC0YLOHMxuUYi6RIBS2+0F7POPHDWubcDMoo/cmzvvfceN954I4pydF7eq6++yve+9z0effTREx9En+hbccsttzBv3jzOOecctHoNiimCNc1ANBTnzv+9lYbGev74v0vwuUPEwnGioRjFihGO6BKu0dhQ4kEUJYYsJ24tDBoNHb3HDjTiqsq/O71clZ3+kecqCMKpSwQag4TbH+Gva2q45exSJhUlLrwPb3+YTa2beOzcx5iSM+UTHzPdlM7cormsqFnB2ua1fLngy8iSjIra33VWOK5Z5U4eevsgW+rdyb+JIAhnDodOS2skmvzeoJPRayR8oThFjqGUlHyfoqKb8Xi2Y7ePJRzZS0ztQsrRosZiWGfMQLbZkCSJXneIYLOflIo0ZDlx/e2N9GLVJWabQ7EQHYF28v0dUPDR1/tf/OIXxwwyAFJTU3G73Xg8Huz2EyxL0hl5/v/eYeu2bWzasi1xjiYt2COUTnaixiSGjS5Gq5ewZRiRJAlfZ5BYVEVjklCj/b8brTZxHrGYH70+8Z46rUzncZLBt3j8dEVjnC+qTQnCaU0EGoPEC1sSa12vn14EwLqmdTy+63FuG3/bfxRkHGbUGpnpmsmbdW+yo2MH47PGI5F4Ou+P+PFGvJh1ZuwGsUb2w8YXpJGdYuS1nS0i0BCEM5BTr2WTp7+0qyRJ2IxafKFo3/caJFmPJOmIxQKYJ08EJCKtbUSrDyJZLEiShKqqRCMxZA0Dikv0RnvpDnbz8LaH0cpadnbsoM23mW/7RzMjFsKoPf6SonXr1h1z+5AhQzjnnHPIz8+nsrKSSZMmHfcYDc1t3HbvX1j1ylKMxsR7yciYtWYC0QAphhT+58d3c3BTO96OIFqdBnumhbxhaRh31aBGY6BL3Eb0BxreZKBh0mno8UeIKQpaeeDDrTc6vWTotEywi5l2QTidicfag4CiqCzZUM/8UTmkWxJJh4/ufJRxmeP4+sivf+rjO81ORjpGUuWuYm/XXnLyc5AkCavBSq4tl1RjKpIkccstt3zq9zqdyLLEhaNyeG1XC3FFNO8ThDONQ6+lKxondsTMgc2gxRfuf5IvSzq0WjOKEkaSZFBVNKbETbsaCgGJ4EJCBklKBhrukJtt7dvY0bkDo9bI5OzJXFFyCcWSiQcPvsCjO0+87OnDjfBkWWby5MlcccUVOJ1O9u3bR+yIpU3HsmXLFtq73IyfMx+tVotWq2XN+2tY9sQy0i3prHmpki2v1xLwhtEZtIyc42LC+YVkFaWALKFy5BiOtby0b49jXD5Xdno4z5GCRlT1E4TTmpjRGATWH+qivjvA764aC8CB7gNsbd/Kb2f/9iOXOKmqSjweR6s9+k/pjXgJx8LU++rZ3LqZRl8jHcEOrnj4CpwGJ0PTh1JsL6ajpoN558/jyiuv/CxO75Q2f0wOf1tbw6babqYWZ3zRwxEE4XPk0GlRAW9MIV2fuBZbjTo6u/r7RSQCBw2K2jfLIcvIJhPQF2hYEk/stXoZCQklriBrZGo9tWgkDWMcY7io9CJMWhMaSebs7cv5d/YQ7q58gcvLLifPdnQfJYCJEyeyevXqxJisVs4++2wmTJhAV1cXDQ0NSJJEcfGJcz2+PGcWu157LJF8bnEQCkS57rrryEkvZNFFN5JdZMeRZ6On3U88ppKS0Xdeqori60XW9fe+iMUSMz+HZzYAOnsjpJr0aDUDP8eq/CGqg2H+pzT3hOMTBOHUJwKNQWBvsxeLXsP4glQAlh9cjtPk5OyCs4/7M62trdxzzz04nU5qa2spLCxk0aJFlJeXJ/d5du+zNPgaKE8vpyK9ggxTBnElTltGG18b9TXyU/IBuP3Pt1NSUsLs2bM/0/M8FY3LT8WVauK1nS0i0BCEM8zhJnLuWIz0vr4aNqOWQDhOXFHQJJcDxeGIGQZJp0O22VCPmAnRGTQgQSym4A13s75lPRUZFSiqkqwKqKoqWLM5z5jLP51jWbJvCT+c/MNjju2HP/whq1evxuVyce6551JcXExtbS2BQKI07dSpU8nKOnF/CptJy8jyIZA3HowpHNrWjlYxYE+1M+f8aZhseu6+72ccPFDD7+7/M5FQDI1WZt+uHXRVH8Tt9+OPxdi+fTuBQD35+Ykyt4d1+MJkWI9uxPdGpweTLHFWmu2o1wRBOL2IQGMQqO8OkJ9uTk6p7+/ez8TsiejkY3dK9fl8zJo1C0mSuOaaawiHw1RWVnLPPffw85//nOLiYmJKjFAsxKy8WUzKnkSGKYNqdzUftH5ATIkhy3Ji3XA0ypIlS7jjjjtEY7pjkCSJeaNzeHlrIz9bMPyoJ3OCIJy+UnUatJJEVyRGSV+l2BSjFotRSzASx2pMXA80GjPQXzlKkmXUUIhYRwc6p7Nvm0R3sx9buoEGpQEJifK0cmo8NcSUGFpZm7gGp2SDt5lLSi/h73v/ftyxXXDBBTz99NPs2LEDi8XCgQMHiMfjAFRUVHDDDTcc/UMBN2h0YOibdYj0zczoEku9THYDsl4CJBr2uQGVfduraWlvpK3GS8ATRtbIXLjwIhqaGpOHHTduHACNjcuSFacg0RfKYTMcNYyVnR5mp9swi+upIJz2RKAxCBwONA5r9DUyPnP8cfd/4oknqKqqYvz4gfvEYjFeeOEF7rzzTrSylsXDF7OqbhW/3/J7hqYPZYxzTCLIkGTsejuSJPHKK6/Q09PD9ddf/1md3ilv3qgcHlt9iI013UwvdXzRwxEE4XMiSxITUszEj5itsBn1xOIKPcEo1r6+GpGIh1CoGbO5IJGnASjhMOoRORJavQazXY+qgFbSYtVZsegsdAQ76I30kmpMTeyYWQFbnqYrNZ1cay6BaACz7tj9MK699lqampp48803MZvNWK1Wxo8fz5QpU9BoPtSoddcL0LYXLFkwZCak5oO3BYxp0Nf5PKfYzlMr/4rJaKTYVko4EOXp6U/RetCTSLOQJLpb/GxY/g7GAxtIvfJKZEMikOjqWjOgYR9AiyfE0JyBsxYdkShbvAEeHJb/Sf4UgiCcokSgMQg0ugOcVZZ46hVVorQH2sm1Hn/t6saNG4HEutwPJwRWV1cn/+80O7mm4ho6Ah2sblzN2/Vv0x3uRi/r0fY9dXriiSe44IILyM0Va2WPZ3Senfx0E//a2SICDUE4w9SHIrSGo0zrW+Zj0susr+4iP81EXloiANDr7QQClShKBI0mMTugSUsn1trfwE6WJbwdieZ2hcMLuWnVTYzJHMP+7v24rC7m5M9J5OTlT4Gd/0DXfYjhmcMxaU0nHJ/L5eK66647/g7eVtj9D4iGoPx8kDTQcQCCPRANQvbI5K4N1Z20b5AonWVGmy6jtRvQ6jWoiordaQIkjBYdgV27Cev1ySADIBbzDcjPiMTi+CNxMiwDZzT+3elFAs7NEJUOBeFMIOYtBwGrUYc/nHjypZW0GLVG/FH/cfdPS0sDwOFwDOgICxyzE6zT7OSCIRcwJWcKOkmHQWPgnYZ32LZ/G2+++eaxp9iFJEmSmDcqlzd2txCLH7tuvSAIp6ewovJ2d/+Teo0sM7YglUis/yGPVmuls+tdIpHu5DbF58X3ztsD8jQ0WpnWag82vY0Zrhn8s/qflKWWsaFlQ7IyU0CN0503jgU+H9cOverTLWlt3gZ/ngKWTJj934n+HPkTwWCHnhrQGsDan8dRs7MDQ1mEfFc2kMgZCfZGCAdjaPQatq6so/GAG6XXh2yxDnirWKx3QKDhCSSS4zOs+gH7vdHpYZLdgkMvnnMKwplABBqDQEG6mfruRAKfJEm4rC4afY3H3f/qq68GICMj46hAY8aMGUCiEZQ34iWmJAIYs86My+piiH0Is/JmUemu5PZf3066I5158+Z9Fqd1Wpk/Ogd3IMr6Q11f9FAEQfgcFZr0HAyEBswe727y8PruluT3Ol0anZ1v4fdXJbdpHQ4Ih4k2NiW3uYal4e+J4G7x860x38IT9rCidgWdwU52duxkdeNqHtzyIDc2/JNp7tVc89J8ntj1BKFY6D8bfIor8a/B3p+PEfJCuAeUeCIfpC+hPeiPEO6NkV1oT854qyr43WEsNj06nYYhY5201XiId3aiOaIRoKLEUJQgGk3/Mqme4OFAo39Gwx+P877bx1yHmM0QhDOFeKQwCBSkm9ha505+n2fLo8ZTc9z9zzrrLB544AFaWloIhfo/gMaMGcOll14KwNrmtTT6GrHoLBg0Bkw6E/6In95oL0PThjLEPoR7V9zLpQsvPWZpXGGgEbkpFGWY+b8dLcllboIgnP6KTAaCikp7JEaWIZGTYdBq2Frfk9xHlvUYjS483m04HInqfYaSEuTUNPwb1qMvSOQjpOdYsKTqadjvZsyXSrhz8p2sb15PrbeWR3Y+ws6OncTUGF8q+BIXZYxnf907PLv7Sap6qrh7+t3oNfqjxneUWAQivYkowZoJlz4GdevA6kxs8zYl9tHooW0P+DvBnkdrjwZVgtyU7OShQr0R4lEFa3piOZhWJxP0hlEIYprYXzo3Gk38Lo6sONXtj6DTyNgM/Z8va929hBSV80WgIQhnDHGHOQgUpJtp9gTxhaLYjDpm5c3i3g330tzbfNxcjf/+7/+mqamJjRs3EggEGDZsGOPGjUPuezrV7m+n0ddIvi2fUDxEi7+FzmAnGknD0v1LObTpEJ0tndzwDbFs6uM4XH1qyYZ67r10JDpRLUUQzggFxsTNfV0wnAw0CtLNLN/WRDSuJK8FmZnn09j4DEWF30ajMSBpNFimTcX35lvY589HNicqC+ZVpFP5QSuhQBSH2cGCkgU8suMR1javZUHxAu6cfCd2Q9+NeNpINror+XX3Rp7d9yxfG/m1Ew+2di2s+mni/8EeWPg8DJ0LqgJbngZTOgw7PzGbkTsegm5o24ta/Q5S0IlB70IJaMGUWDbV6w6jNWjQGROJ5f6eMDIK+iFD0B1ROtfvr0KWTej1/Q9h2nwhMqy6AUu/3uryUmY2UGw+uhKVIAinJ3G3NAjMKnciSxKvbG8GYN6QeZi1Zl6ofOGEP+dyubj00ktZtGgREyZMSAYZABOyJ5BtycYT8VCcUszcornk2/I5O/9sxmWNY+55c3l277OMrhj9mZ7b6WTeqFw8wShrDnZ+0UMRBOFzUmhK3BTXBCPJbbOHOglE4ry5ty25zZW7kFjMQ1fX6uQ2y+TJEI8T2Lw5uS231I4kSzQdSMxiR5Uob9W/RVFKEbKUKDuuqAqKqkDFxUwumMM1xiKe3/P3Ab06jvLuL+HpBVA2FybdAPY8+MdXE68NuwCcZaDVg6SDrFGgN4PdhVo8m8bMMkwGPzqdgebKxLhiEYVQbxRbhhFZlgl4I3Q1erHrguiLipD6Pm8UJUIgUIPVWp78DIrFFbbX91CRnZIcXlxRea/bK2YzBOEMIwKNQSDHbuLciiyWrK9DVVXMOjMXl17Msv3LTpircSLDM4bzrTHfYlbeLHZ17mLJ3iXElBhTc6Yy0zWT84eczzUV12DUGk/y2Zy+KnJsFDstvLaz5aN3FgThtGDWyIywGnmj05PcNiw7hUlFaTyzoa5/P3MhGRmzqG94IrlNk5KCafQo/OvWJXM8dAYtOaV2GvZ1E43E6Qp2ISFx3fDrMOvMLNm3BEVVEhWoNFrIn8Ks0gXYVNi77UkIDywhC8CbP4e1D8E334E5d8LYaxLBhtmR6J3ReRD0tkQPDVVJ/NunOdhOnaSiGXE2uaUO6vd2s+u9Rpoq3UTDib4cXY297F7dSDQQxmGPoukrSALg91ejqnEslrLktiZ3gJ5glJlHVOmrCgRxxxQuykz9z/8YgiCcckSgMUh8dVohB9p8bKxJVC25eezNpBhSuOPdOwjHwx/x00eLKTFUVWVC1gTGZY4jw5SBTtbx8sGXqXRXoqjKUaVxhROTJIn5o3JYuaeVSExUnxKEM8W1uQ5WdnpoCvXPaiyeWsi66i4Otvff+Oe5FuPxbMLv7y8zbpk+nVhHB+Gq/kTxIaOdKDGVPasTieLeiJciexGLhi2iqbeJ1w691n99lmU8GUXkp5UR6W2B7c9B5UrwNCRmOALdoMRg6IWQ1V+qlj3LobMSnroQDrwG6cUw7lrwd0D3IYhH8Ya9NPqayLO5yDBlUDTKQfmULLqaejm0vYOmKjc736xn1+pGVAWKssLYi5zI2sPJ4ip+fw1mSzFabX/Fw+oOPyNyU3Cm9D/I2uwJMtZmYpTt2D1BBEE4PYlAY5CYXpJBaaaV+1bsJxJTSNGn8OCcB6nuqeYna37yiauOHK4aUtldSa23lhm5MzBrzWxq3cSq2lWJKXpEoPFJzR+Tiy8U4/2qji96KIIgfE4uz0rDrJFZ0txfde78kdlkWPQs2VCf3JaRMRuj0UVT03PJbfriYrTZ2fjXrk1uM6foGTHLRXutj9AhLXaDnU1tmyi0F7KgeAFrm9fywoEXiMQTgY1FZ0FjTKF44k1QNANCHtj/Omx5CmpWQ95k6G2FF66Hd38FvxsFB16HlNxEgOGug566RJWprBHQvg9fTx01nhrSjGkU2AqSuRR55amUT8yiZHwmQ8Y4KRiZwdCpOYydnkpKqhZdTk7yPCKRTlRiWC3lyW3eQAR3IDKgaEZXJMo2n5+rstNP2t9EEIRTgwg0BglJkvjtlWPY1+zlF6/tBRLLn+476z7ebXiXxa8vpt5bf+KD9PGEPLT2trKiZgX/rP4nVT1VrKpfBcC03GnMdM38rE7jtFeeZWNcfipv72v/oociCMLnxKrVcGV2Oktauoj09cUwaDVcNSmfl7Y0EogkyohLkgZX7jU0NS8lFuvt2yZhnTWb0O7dBHbsTB4zqyiFwlEZVG1q40rXQt6uf5vqnmqmu6Zz1dCr2NG5g4e3P0xHoIMsSxa/mPkLUswZiUBh1JVQcRHkjAVTGpjTIXsM1G+ANb9NfH/Z4/CNlXD1s4nE71U/A08T8dR8miNe3mzfTDAWZIh9SDK3Qokr1O7uorcnjGtoGvnD0smvyCAr10B43x4Uvx+Nqb+BYHvHKvz+g+j1/Uuktta5WVfdRYmzv6fGYw0dvNPt5UJn6mf1JxIEYZASVacGkTH5qfx0wXB++spuJhSlc9GYXOYWzaUopYjvv/d9rvjXFVxUchFXD72a0rTSYx6jN9LLrzf/mnRjOr6oj0JbIZfmXUqKPgWr3jqgy6wsnaFxZsgDO5ZB3Rpw1ya+FAXSiiCtEPImwbjFYDl2F/C7Lx7B2/vbicYUdNoz9HcoCGeY61wZPNnUyYpODxdnJnIUrplSwF/eq+bV7c0snFwAQG7uFRyq+QPt7W+Qm3sFAObJkwgd2E/PsmXoc3PQOhNP+8smZeLpCKDfN4wy11Ae3fEoi4YvYkLWBHItuTyz7xke2vYQl5ddzmjnEYU7JAlSchJfh+VNTlzb6tbABb9KNOeL9S27Tc0DUyqBiJ8Nje/RbrUwPnM8ZWllA6pCNVX1EPRFKRmfibbv2qYqCsG9e1G6uzHPmZPcNxr14PVsJjv7kuQxAuEYe1q9TB6Sjkbu2xZXeKq5i8W5GRhFtT5BOONIqlioP6ioqsrty7bzxu5W7rt0FJdPyAMSAcRTe57ixcoXCcVD3DTmJixaCxadBa2sxR1y0x3qpt5Xz86OnZw/5HxS9CnIkoxZaybNmIZFZ8GsNWM32LHqraQaUs+sYMPbDO89ADv/AfEIFExLLCtIKwJZk1he0H0oUXPemAIX/gZKvpT4/xF6Q1H+uaOFcfl2KnJFBRVBOFNcui2RZ7F8XH/i8zee2kSLJ8Rrt85M3nDv2XMH7p4tTJ3yWrJbthIK0fH734NWi/PWW5H1ibK5IX+UDa9UEzeH6S6rIis1k1l5sxKvxUK8UPkCuzp34TA6mFs0l4r0CvTa4/TT8LbAKzeBOQPOfwCsTpRYBN8/FhEMe9lz1nfQGe2MyhhFmqk/oVtRVNpqvHTUecmrSCM9p382InToEP7V72OZPg1jef8Sqaam5/F4tjJ06M/RaBIPsN7Z387uZg/XTC5INupb2tLF9/c3sGFqRbKClyAIZw4RaAxCoWicn7yymxe3NLJwcgE/WzAcoy5Rxzwaj7KmaQ1xNU6dp46OYAdRJUq6MZ10Uzoui4sUfQoGrYHOYCedgU6C8SDheJi4EkdFRZZkwvEwi4Ytwm48Q26Uq9+Bl24ASU5UYxl/7cCngUcKdMOulxLNrnRmyCiGjJIBu6yp6kCnkZlSnPE5DF4QhMHglTY3N+2t493JQxlm6bu5PtDO157cxMs3T2d8QeLmPRRuZePGBWRnXURZ2V1IUuL6HWlpoeMPD2EeM4bUq69KBiaejgA73mogHlMZNceFI6+/8Z2qqtR561jXvI49XXsYmTGS0Zmjsevt2HQ2jFojeo0+eaxo1b9R37kPT9549g2ZStkbP0WOhnht+g1MHXY5ZWll6I6oOhWLxGmr8xHqjZCeYyEt29L/Wmcn7n/8A0NpKSnnnZfc7nZvpKl5Ka7cq0hLm5Yc5wMr9jPSZWf+mNzktrmbK3HotSwdM/AaKgjCmUEEGoPYsk31/PTVPZQ6rdxxbjlnD8tMTkd/EoqqEFNiROIRgrEg/qifnnAPoxyj0Miaz2Dkg8z6h2Hlj6F4Dlz+1+MuiTpKPJZY89y+B3LGQMHU5Es7Gtw0uYOcNyIbrVgOIAhnhIiiMGH9XuY7U7m/PDHbrCgqs3/zDiNz7fxl8YTkvt3da9m953uMGP5bMjLOSm4PbN6M+7nnSP3KV7BMmdJ/7FCMXe820tXkp3ick5KxTqQPXe+9ES8Huw8SU2MEYgH2de1LPGyKR0k1phKMBvFGvZxVv5NpTXtID3ppzJ8AVz5Fvi1/wDIpgJ42P/vWtaDRypRPzSbV2V8RKh4M4nnlFTRmMynz5yNpEp8V4XA7dfVPYLWUk5NzWfKYu5s8LP2gnptmF1OQkQhWtnr9XLilir+PGsJ5on+GIJyRRKAxyO1u8vDj5bvY0ejBlWrimikFLJycT7pFTEF/LJUrYelXYNp34Ny7E0ukPglVhdadiYBjyGzIHAaAJxBh+fZmzqlwkpdm+YiDCIJwunjgUAuPN3awffoIrNrE9eSVbU3cvmw7v7p8NF+ZlJ/ct6bmT3h9uygr/RFmc1Fyu/uFFwhs3ozjm9/EUNL/pF9VVA7t6KB6awcZLgsjZ+VhMB87lTIUC9ET6qEj2EF3qJuecA8mrSkxu6234Xr3N+hKvoQ8ZuFRP6soKvV7uqja1IY908Tos/MxWvpnOeKBAM3/9QOijY0U/P1ptKmpie3xINWHfo9eZ6eg4AZkObGEqzcUZenGejJtRi4em5sMPm7bV8/aHh8fTB2ORvrkD8kEQTj1iUDjFLGjoYdnNtTxrx3NjM6zc+lYF2aDlvJsGyVOCwbtGTAz8Um56+DRWYmZiKufA/lTzDwceg+6qqDiErAmZkT+taMJm1HHnKGZJ2e8giAMek2hCJPW7+W+8jyud/XPjv7o5Z28vLWJ5TfPYHhuIq9LVRX27b8Ls6mI3Nyr0OsTS6uUaJSux/9KpOYQKfPmY509a8BsQ2ejjz3vN6M3ackqSsGRb8WWbjxqRuKElPhRD1bCgRhNVW4a93UT6o1ROCqdsklZyapTAJHaWhq+fTOxri4KHnsU09ixfeeisnvPrXR1rWbypFcwm4cAEI0r3PXyLryhGL++YjQppkTA0h2NMX7dHr5flM13C7M+/rgFQTitiEDjFOP2R9jb4iEYUajt8uP2R4gqClk2I4UZZkoyrRSkm9F8mpvq08Wyr0LzNrjp/UQJyE8jHoO9r4CshRGXALBq017+9yc/Zv/m1QQCAUpLS3nyySeZOHHipx66IAiD1zf31LLG7WPVxKG4jH1J3dE4l/9lHf5wjH9+dyYpxsQNdzTqpqb2EUymPFy5C5H7ehypsRjeFSvoffddjKNGk3b1VcjG/gZ30XCM5qoedq9uornKg91pYuRsF2WTstDpP/6DJVVV6WkP0rC3i7YaL5IskV1sJ78iDfsRS6VUVcW3ahXN//UDDKWluB76A/q8vOTrDQ1PU1l1NyNH/omszAuS2+97fR9/W1PD89+cysSi9OSxvrW3jre6vGyYWoFT3z9bIgjCmUUEGqcwVVVp9Yao6fBT3x2gpSeECpj0MnmpJvLSTOSnm8mwGj7Zk7DTgbcZfjcSLngAJt94co7ZfQiqVsGIy3BHtYwdO46CkZP4/m23MKaskKqqKkpKSigpEUmPgnA664rEOHfzAXINOl4eV4q+78FOXZef+X9cw/SSDB5ZPCF53fX5DtDZ+RYGYxY52ZcNuB4Hdu2i54UX0LvysF9+GTrHwByyw8ucdr/XRN2eLvRGLRkuCykOE6nZZlxlqVhSDegMGqLhOEFflKAvQtAXIeCNEvCGCXqjmFN05FWkk1uWit44cDmWEg7T/tsHcf/976R+5Stk/fguZEP/8lyPZxtbti4kL28x5WU/SW5/Y3crNy3Zwk/mVXDDWcXJ7U80dvDjqiYeHVGYLAUsCMKZSQQap5FYXOFAq48djT3sbfbS3BPEatSSn2amPMtGSaaVwgwzNuMZ8HTpnfth/Z/gjn1Hlac90sqVK3nttddwOBxcfvnlDB8+/PhBmaLAjqVgz+eHj61g7dq13PHQc2SnGJlW8jETzAVBOC1s8fi5eFsVX3c5ubvMldz+7z2tfPOZo2++3T2baG9/HYu5jNzcK5L5DQCxnh7cy5YRWL+e1Cu/QsqFFxzzOuTpCFK5sZWetgDeziCezhAajUTphExUBQLeRCdxWSthtukx2fSYbDoceVYyXNajkssBoq2tNN56G+HKSrL/92ekXnLJgNfb2l5j3/4fYbUOZfy4Z5PjruvyM/+hNcwodfCXxeOT493q8XPxtoNc58rg3rK8D7+dIAhnGBFonMaCkTibartZe7CTLXVu6roDmPUahmXbmFyUzviCVIblpGDSn4Z9Gx//cqJHxuWPH3eXG264gSeeeAKn08lVV12F2WzG6XTyve99D43mQ0sTVDXRJKt+PXRWM3zxfcydO5etew+yY/N6hhTkc/PNN3PjjSdp9kQQhEHvr40d/KSqicdHFLEgMzW5/f7X9/HXvuVEk/qWEwH4fHupb3gKi7l4QM4GgBIM0nr3PXiWL8dQUUHawquxz5+PbDZzItFwHL8njKqoyLKE0apHb9KccBZbVVWiDQ30vPgiXU8+hT43F9dDD2Ec2t8nQ1EiVB38JY2NT5OVOZ9hw+5Dq00UvghF41z253UEIgOXiXVHY5y76QDZBh3Lj5jpEQThzCUCjTNItz/C+uou1hzsZO3BTuq7A8gSTChMY3a5k2nFDkblpaA/HRLLf1UCU26C2T845svPP/88CxcuxGg0ctlll1FeXs7+/fsBWLx4MfPmzTv2cdv2Qu37GGffBsDVX/82o86ai81Xz2233cYjjzzCdddd95mckiAIg8vhXIS3u7ysnFhOiTmRYxGNKyx6/APquv28dutZOKz9y5DC4U6ampfh9W4nz7UIh2POgOP516zFvXQpve++i2y1Yr/kEtIWXo2huPjDb/+JKaEQ4YMH6X3nXXqWL0fW6Ui7ZiH2y69AY+2vnhcKNbNr9634fLspK7uLPNdXBwQuP3xpJ8u3DUx8V1SVRTsPscMXGJC7IgjCmU0EGmewhu4Aaw92suZgJ+uqu+j2RzDqZCYPyWBGSQYzSh0Mz0lB/g96d3yhwr1wvwsuexxGf+WYu1x22WUsX76c8847j5kzZ1JVVUU0GgWgtLSUe+65p39nRYFDb4O7HlAg5EH/5R8xceJE/vriCjbXuVk8pZDbb7+NTZs2sX79+s/hJAVBGAx6Y3HO31KJTpJ4bUI55r6+Om3eEPMeep/cVBOPLJ5Abqop+TOxmI+9+35IR8cbFOR/g5KSHyDLA5e0Rhqb6Fm2jJ4XXyTudmOeOpXUyy/HUF6OPs+FbPnostpqPE68x0Osq5PwwYNEG5sI7tqFbDSQeumlmKdORfrQrENX9xr27Pkesmxg1Mg/YbePTb4WV1R+++8D/Pndan51xWi+MrG/lO/valv5VU0rS0cXc3bG8ZerCoJwZjkN18wIH1d+upmrJxdw9eQCFEVlX6uXdQcTMx6/f7OK+1fsJ82sY3qpg5mlDmaUOCjIOPE0/qAQDST+1R1/rD6fjzFjxjBlyhQaGhqSQQZAKBQauPOGhyHQlag8FQ9DxE+OM53hw4ej1cgoKiioVFRU8NJLL30WZyQIwiBl1Wp4fEQRF26p5IeVDfxhWAGSJJGVYuTJ6yfzrWc2M++h9/nD1eOYVe4EQKu1MWrkn2hoeJKD1Q/g8e5g1MiHMBj6y8Dq81xkfv8OHN/9Dr6VK3E/u5TmH/TP0GoyMtDn5aHLz0eX50KXm4sSiaBNz0Dp9RE+WE3c7QZVQedyIZnMaNLTyL7rR+hyco46D1VVqKl9mJqaP5CePpMRwx9Er+9f9tXZG+bW57ax4VAXd54/bECQsbrbx69qWrmjKEsEGYIgDCACDQEAWZYYkWtnRK6dG2cVE47F2Vbfw7q+GY+fvLKbuKKSn25KBB2lDqaXOEi3DMLpcYsTtCboqT/uLnPnzqWpqQm/34/P5xvwWllZWf83e/8JPQ0w6/tgzUpUndr9MjNGFnLgwAH84RhmnYxWlqmsrKSwsPCzOitBEAapCquJXw3N57v76plqt3JNbgYAo/Ls/N+tZ3H7su1c9+RGbvtyGbd+qQxZlpAkiYKCr5OSMprdu29l/YbzyMm+FFfeIqyW/muQrNdjX7AA+4IFxDo6iDQ0EG1oINLYSLShkUhjA4FNm4i1tSFbrZhnziDlnHMxT5yAnJKCLjcX2WxGa7cj6Y4uBBKL+WhpXU5j47MEAtUMGXIrQ4puQZL6l9Buru3mlqVbiSsqS74xheml/cUvWsIRvr23jllpNu4oyv4Mf8uCIJyKxNIp4WPxhqJ8cCiRWL72YCdV7b0ADM9JYWZZIvCYVJSGebAklj88JdHJ+8JfHfPl3t5eHnvsMTZt2jRgu9Vq5b777sPpdCYClfd+DVNvgqwRiYTw5u2wZzmbDnUx/buPcf13fsDUc+Zj8tRy44038thjj7Fo0aLP4QQFQRhsfnCggX+0dvP8mBKmpVqT2+OKyh/fruIPb1VxVpmT3181dsBDmkiki4aGp2hqXkY02kVq6hTy8hbjdJx71JKq41FjMdCcOAn8SL7e/TQ1LqG17VUUJYzTcR75BV8j1T6h/5iqyhNravjliv2MzU/lT9eMJ9ve3+vDE42xaOchmsJRVk0cimOwXP8FQRg0RKAh/EfavKFkfsfag520ecPoNBLjC9ISMx5lDka77Gg1X1DVkZe/CU1b4DubE9WijsHtdvPss8+ybds2FEVhxIgRLFq0iJzDywoOvQtVb4GzHIrnQGo+7P0X1LwLWSP5v1Yn3/neD2ipr6G4eAh33HGHqDolCGewUFzhmp2H2Ojp5acluXwzzzngxv+9yg5uf34bJp2GhxeNZ1zBwB4TihKhvWMlTY3P0uPZhF6fiSv3anJdV2E0fPrZAkWJ0N7+Bo1Nz+LxbD7h8X2hKP/94k5W7G7lhplDuPOCYeiOuJ7v8gW4YXctPbE4S0cXM8H+0TkjgiCceUSgIXxqqqpS3eFPBh4bqrvwhWPYDFqmFGcwszSDmWUOSpzWz69xYO1aeOpCuPbVRJDwSXUehIySRDnbmtWg0UHx2bD3VQh74bx7CWDgpc0NjC9MZ4TLftJPQRCEU09UUfnFoWYeaehgntPO74cVYDuikl9zT5Cbn93KnmYPP50/nK9OLTzmdbG39wCNTUtobX0FRQmTmjoFs3kIJlM+JmN+4l9TAVqt7aifVZQIoVAzwWADwVADwWA9oWAj7p6NRKNdpKVOxZW3GKfjnGPOmOxv9fLtJVvp8IX5zZWjOX/kwJyOpc1d/KiqkaFmI4+PLKLQZDjqGIIgCCACDeEzEIsr7GryJAOPrXU9ROIKWSkGZpQkllnNKHUMmII/6VQV/jwN7Hmw6IXjzmoc09v3JmYuLvkzuMZDZyVU/RvctRB0w/TbIHcMOxu62dHo5coJ+Rj1p0FJYEEQTprXOnq4fV89Tr2OJ0YWUWHtrzoViSnc9/o+nlpXy8TCNK6dXsT5I7LRa4+eAU7kULxCd/caQqFGgsEG4nF/8nWtNhWTKQ+j0UU02kMo2EAo3AooAEiSBoMhF5MpH5u1gpzcKwfkgBxpT7OHJRvqeHlrE0McFv6yeAJDHP0zFYG4wl2VjTzf2s3inAzuLXNh/KJmrQVBOCWIQEP4zB3ZOHDNwU72NHsBKM20JsvoTi3JSDZ9Omn2/hP+8VW48Dcw+WMuafJ3wlPzIeKHOXcmKleVnQdd1bDzeYhHIXcsStlcXtofIsduZGaZ8+SOWxCE08KhQJgbdtdQEwzzwNB8vpKdPuD1t/e38djqQ2w41I3DamDh5HwWTi4YUAr3w1RVJRrtJhhq7JupaCAYbCAUakars2MyFWAy5iVnPAyGHGT5+LkToWicFbtbeGZ9HVvre8hOMXLNlAJuPKsY0xEPUI48l1+W53NVTvpxjykIgnCYCDSEz93xGgeOyU9NzniML0zFcDIaB664E7Y8DTe9D45jP8U7ysbHYc3v4cs/AV8bSHJiRiSjLPH/ps30SmY2KMMZM2kWTttnODMjCMIpLRBX+FFlI8tOMAtQ2eZLziQEIjHOqcjiq9MKmVHi+Mz6GDV0B1i6sZ5lmxro9keYWepg8dRCzqnIPCq37sjZmb+OLGK49fiBkCAIwpFEoCF84T7TxoGxCLzxI0jJhaIZUDD1+PsqcZD7gpu37oEhZ0EsDJVvgKSBEZdC0QwC9dsJbH+JkDWfvC998z87aUEQzhiqqrK0pZu7PiKvoTcc45VtTTyzvo4DbT6KHRYWTS3k3IosclKNA5Kx/5MxdPsj7Gjs4dkN9bx9oB2rQcsVE/JYPLWQEqf1qJ/5cL7J74YVkHIyHgAJgnDGEIGGMKh8uHHgxppugtH4p2scGIvA7pfg4CoonAkV8xI9MY4lHgONFrYtTZS3NVoT+/a2Q9BNPGsMKyMjkSM+zh5djMF09IezIAjCsexMVmqKcV2ug6/mZlBwjIBDVVU21bp5ZkMdb+xuIRpX0cgSualGCtLN5KeZyU83U9D3lZ9uJs2sIxxTaHQHqO8O0NAdpL778P8TX/5IHEiUJb92WiEXjc09ZknyYFzhn+09PN7YwT5/kJ8W5/KtfOfnV8xDEITThgg0hEHtw40DdzR6/rPGgaoKte/Dzhcg6ofsUZA3CSyZ0FkFbXugZDYEvdBVCR0HwFkBYR9MvwWUOMqBFQQad9FJGraZN5JhFx1wBUH4ZHqiMX5b28rzLd30xhXOzUjhepeDOek25GPcyHf1htnb4k0GDw2Hgwd3gJ5ANLmfSachGI0nv9drZPLSTeSnDQxIip0WyjKPXQGwNhjm6aZOnm/pxh2Lc3a6je8XZTNRlK4VBOE/JAIN4ZTyqRsHxiLQuBGq3wF3TSLpu3IloCYSv61ZoDPB9Fshdxwceg9yx9CbOZH3KtvJbF1NYU4mmaO+9PmdtCAIpx1/PM7yth6ebOpgT2+IIpOea3MdXJ2TTrru4zW+8wSjydmKpp4gqWZ9X0BhIstm/FjLTeOqyltdXp5q6uSdbh92rYarctK5LtdBsVmUrRUE4dMRgYZwSjtR48BrJuczaUgGWSkGNPIx1jbHQtC2D17/L0AFvQVKvgxdVdC6G6Z9B7VxE6qqssLxdaJ6GzNLHThE8rcgCCeJqqps9gZ4qqmTf7X3IEtwcWYa17scjEv5BEtEP6HOSIznWrp4urmTxlCU0TYTX3M5uDgzDbMoWSsIwkkiAg3htPHhxoEfHOqiIMPMnHInpZlW0sx6hmbbyEoxDlw2EAnAew9Ay45E343z7iEc8NHZ1YnaVY1HNeHNmsr4/FQMx5spEQRB+JQ6IlGeb+lO3vyPsZmYlmql0GSgwKin0KQn36jHcKwHJ8ehqCrtkRh1wTB1oQh1wTAH/CH+3elFkuDizFSudzkYnyKWRwmCcPKJQEM4bR1uHLizsYdQNE5cgdpOPwadTJHDgsNiIMOqJ8NqQEZF2v0SGfufIYCJ121XUGkZz8hcO1OL0hiaY//MykwKgiAc6fBypqUtXRzwh2gIRYj1fVJLQI5B1xd49AcgeUY9PdE4daEwdcEIdcEI9aEwDaEIIaX/Y96p11Jo1HOBM5WFn2CZliAIwn9CBBrCGSMcjdPqCbG/1UdVu48ufwS3P8Lhz2BJgnIauKD9cVLxYRh9CZbZt32yruKCIAgnWVxVaQ5Hqe+blagPJmYm6kOJgKIzGkvua5JlCkx6CvsCkAKjIfFv32yIRSPK0wqC8PkRgYZwRosrCj2BKIqikmbRJxpVhTzw9i+gZTukDYHz7wez6IIrCMLg5I/FaQpHSdNpcOi0ogytIAiDhgg0BOFYlDhsfAyatsLlj3/RoxEEQRAEQTjliEBDEE4kGkyUuxUEQRAEQRA+ERFoCIIgCIIgCIJw0oli2YIgCIIgCIIgnHQi0BAEQRAEQRAE4aQTgYYgCIIgCIIgCCedCDQEQRAEQRAEQTjpRKAhCIIgCIIgCMJJJwINQRAEQRAEQRBOOhFoCIIgCIIgCIJw0olAQxAEQRAEQRCEk04EGoIgCIIgCIIgnHQi0BAEQRAEQRAE4aQTgYYgCIIgCIIgCCedCDQEQRAEQRAEQTjpRKAhCIIgCIIgCMJJJwINQRAEQRAEQRBOOhFoCIIgCIIgCIJw0olAQxAEQRAEQRCEk04EGoIgCIIgCIIgnHQi0BAEQRAEQRAE4aQTgYYgCIIgCIIgCCedCDQEQRAEQRAEQTjpRKAhCIIgCIIgCMJJJwINQRAEQRAEQRBOOhFoCIIgCIIgCIJw0v0/7CqCcwTDEB8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,2,figsize=(10,5))\n", + "hnx.draw(HD,ax=ax[0])\n", + "hnx.draw(HD.collapse_nodes(use_counts=True),ax=ax[1])\n", + "# hnx.draw(HD_edge_collapse, with_edge_counts=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`collapse_nodes_and_edges` simply runs both of the above collapsing commands." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Updating the Hypergraph\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:40:59.873955Z", + "start_time": "2024-05-16T22:40:59.799308Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.425670Z", + "iopub.status.busy": "2024-04-18T16:29:54.425515Z", + "iopub.status.idle": "2024-04-18T16:29:54.499753Z", + "shell.execute_reply": "2024-04-18T16:29:54.499341Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.425661Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "np_array = np.array([['A','a'],['A','b'],['A','c'],['B','a'],['B','d'],['C','c'],['C','d']])\n", + "\n", + "H = hnx.Hypergraph(np_array)\n", + "\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:00.829438Z", + "start_time": "2024-05-16T22:41:00.771190Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "H.add_incidence('A','g')\n", + "plt.subplots(figsize=(5,5))\n", + "hnx.draw(H)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:01.677797Z", + "start_time": "2024-05-16T22:41:01.616443Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.500707Z", + "iopub.status.busy": "2024-04-18T16:29:54.500478Z", + "iopub.status.idle": "2024-04-18T16:29:54.513127Z", + "shell.execute_reply": "2024-04-18T16:29:54.512827Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.500690Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplots(figsize=(4,4))\n", + "hnx.draw(H.remove_edges(['B','C']))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Building sub-hypergraphs\n", + "There are two methods that can be used to look at different kinds of sub-hypergraphs: `restrict_to_nodes` and `restrict_to_edges`. The method, `restrict_to_nodes`, builds a sub-hypergraph from a specific subset of nodes and all edges that they are included in. The method, `restict_to_edges`, builds a sub-hypergraph from a subset of edges and all nodes contained in the edges." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:03.062820Z", + "start_time": "2024-05-16T22:41:02.906932Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.579781Z", + "iopub.status.busy": "2024-04-18T16:29:54.579686Z", + "iopub.status.idle": "2024-04-18T16:29:54.712454Z", + "shell.execute_reply": "2024-04-18T16:29:54.711909Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.579774Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scenes_dictionary = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP'),\n", + " 8: ('FN', 'TH')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes_dictionary)\n", + "\n", + "fig,ax = plt.subplots(1,2,figsize=(10,5))\n", + "hnx.draw(H,ax=ax[0])\n", + "hnx.draw(H.restrict_to_edges([0, 1, 2, 3]),ax=ax[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:09.356839Z", + "start_time": "2024-05-16T22:41:09.249846Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.713543Z", + "iopub.status.busy": "2024-04-18T16:29:54.713349Z", + "iopub.status.idle": "2024-04-18T16:29:54.790156Z", + "shell.execute_reply": "2024-04-18T16:29:54.789857Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.713532Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplots(figsize=(15,5))\n", + "H_restrict_nodes = H.restrict_to_nodes(['JA', 'FN', 'JV', 'MA', 'BM', 'TH'])\n", + "hnx.draw(H_restrict_nodes)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:12.261858Z", + "start_time": "2024-05-16T22:41:12.253117Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.790839Z", + "iopub.status.busy": "2024-04-18T16:29:54.790747Z", + "iopub.status.idle": "2024-04-18T16:29:54.794214Z", + "shell.execute_reply": "2024-04-18T16:29:54.793923Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.790831Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: ['FN', 'TH'],\n", + " 1: ['TH', 'JV'],\n", + " 2: ['BM', 'FN', 'JA'],\n", + " 3: ['JV', 'BM'],\n", + " 4: ['JV', 'BM'],\n", + " 5: ['TH'],\n", + " 7: ['MA'],\n", + " 8: ['FN', 'TH']}" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_restrict_nodes.incidence_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When hypergraphs are very large and disconnected, often it is beneficial to isolate those components made of a single node and a single edge.\n", + "As in the above example we identify these **singleton** components using the `singletons` method and remove them with the `remove_singletons` method." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:13.333008Z", + "start_time": "2024-05-16T22:41:13.325787Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:29:54.794914Z", + "iopub.status.busy": "2024-04-18T16:29:54.794769Z", + "iopub.status.idle": "2024-04-18T16:29:54.802104Z", + "shell.execute_reply": "2024-04-18T16:29:54.801797Z", + "shell.execute_reply.started": "2024-04-18T16:29:54.794904Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[7]" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H_restrict_nodes.singletons()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:14.035867Z", + "start_time": "2024-05-16T22:41:13.948511Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:33:17.598273Z", + "iopub.status.busy": "2024-04-18T16:33:17.597231Z", + "iopub.status.idle": "2024-04-18T16:33:17.687406Z", + "shell.execute_reply": "2024-04-18T16:33:17.687090Z", + "shell.execute_reply.started": "2024-04-18T16:33:17.598244Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplots(figsize=(5,5))\n", + "H2 = H_restrict_nodes_remove_singletons = H_restrict_nodes.remove_singletons()\n", + "pos = hnx.draw(H2,return_pos=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, sometimes we care only about top level hyperedges that are not contained in any other hyperedge, although they may intersect others. These top level hyperedges are called \"toplexes\" and can be found using the `toplexes` method, which returns a new hypergraph consisting only of the toplex hyperedges, note the toplex hypergraph we obtain need not be uniquely defined." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `toplexes` method on the above hypergraph removes 3 hyperedges. While HNX will pretty consistently remove the same two edges,the hypergraph gotten by restricting to a single set of toplexes is not unique." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:41:16.317487Z", + "start_time": "2024-05-16T22:41:16.044079Z" + }, + "execution": { + "iopub.execute_input": "2024-04-18T16:38:37.111111Z", + "iopub.status.busy": "2024-04-18T16:38:37.108693Z", + "iopub.status.idle": "2024-04-18T16:38:37.278619Z", + "shell.execute_reply": "2024-04-18T16:38:37.278144Z", + "shell.execute_reply.started": "2024-04-18T16:38:37.111047Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(2,2,figsize=(10,10))\n", + "hnx.draw(H2,ax=ax[0,0],pos=pos)\n", + "ax[0,0].set_title('Original hypergraph')\n", + "\n", + "hnx.draw(H2.toplexes(return_hyp=True),ax=ax[0,1],pos=pos)\n", + "ax[0,1].set_title('Toplexes from toplex method')\n", + "\n", + "## remove different toplex edges to get new toplex representations of the hypergraph\n", + "hnx.draw(H2.remove_edges([4,5,0],inplace=False),ax=ax[1,0],pos=pos)\n", + "ax[1,0].set_title('Toplexes: Look at edges 0 and 8')\n", + "\n", + "hnx.draw(H2.remove_edges([3,5,8],inplace=False),ax=ax[1,1],pos=pos)\n", + "ax[1,1].set_title('Toplexes: Look at edges 3 and 4')\n", + "\n", + "fig.suptitle('3 Toplex representations of H, can you see the differences?',fontsize=15);" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "hnx", + "language": "python", + "name": "hnx" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/basic/Basic 2 - Visualization Methods.ipynb b/tutorials/basic/Basic 2 - Visualization Methods.ipynb new file mode 100644 index 00000000..8de14ca9 --- /dev/null +++ b/tutorials/basic/Basic 2 - Visualization Methods.ipynb @@ -0,0 +1,827 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:19:26.299166Z", + "start_time": "2024-05-16T05:19:26.297464Z" + } + }, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment this to use Colab" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:37.725778Z", + "start_time": "2024-05-16T15:25:35.239967Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:50.678069Z", + "iopub.status.busy": "2024-04-03T18:43:50.677898Z", + "iopub.status.idle": "2024-04-03T18:43:52.891469Z", + "shell.execute_reply": "2024-04-03T18:43:52.891113Z", + "shell.execute_reply.started": "2024-04-03T18:43:50.678060Z" + }, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import matplotlib.pyplot as plt\n", + "import networkx as nx\n", + "import numpy as np\n", + "import pandas as pd\n", + "import warnings \n", + "warnings.simplefilter('ignore')\n", + "\n", + "from collections import defaultdict\n", + "\n", + "### GraphViz is arguably the best graph drawing tool, but it is old and tricky to install.\n", + "### Uncommenting the line below will get you slightly better layouts, if you can get it working...\n", + "\n", + "# from networkx.drawing.nx_agraph import graphviz_layout as layout" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data\n", + "\n", + "The data in several of our notebooks are taken from the jean.dat dataset available from the Stanford GraphBase at https://www-cs-faculty.stanford.edu/~knuth/sgb.html. This data gives character scene incidence information from the novel Les Miserables by Victor Hugo." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:37.736962Z", + "start_time": "2024-05-16T15:25:37.726713Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:52.892627Z", + "iopub.status.busy": "2024-04-03T18:43:52.892468Z", + "iopub.status.idle": "2024-04-03T18:43:52.914387Z", + "shell.execute_reply": "2024-04-03T18:43:52.914114Z", + "shell.execute_reply.started": "2024-04-03T18:43:52.892619Z" + } + }, + "outputs": [], + "source": [ + "scenes = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualization\n", + "Use the default drawing tool to visualize `H` and its dual. This renders an Euler diagram of the hypergraph where vertices are black dots and hyper edges are convex shapes containing the vertices belonging to the edge set. It is not always possible to render a \"correct\" Euler diagram for an arbitrary hypergraph. This technique will lead to false positives, cases where a hyper edge incorrectly contains a vertex not belonging to its set." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.081220Z", + "start_time": "2024-05-16T15:25:37.738496Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:52.914823Z", + "iopub.status.busy": "2024-04-03T18:43:52.914750Z", + "iopub.status.idle": "2024-04-03T18:43:53.055002Z", + "shell.execute_reply": "2024-04-03T18:43:53.049466Z", + "shell.execute_reply.started": "2024-04-03T18:43:52.914816Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also view the dual of this graph easily, using the `H.dual()` command." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.174401Z", + "start_time": "2024-05-16T15:25:38.082418Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.056319Z", + "iopub.status.busy": "2024-04-03T18:43:53.055947Z", + "iopub.status.idle": "2024-04-03T18:43:53.160461Z", + "shell.execute_reply": "2024-04-03T18:43:53.158088Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.056300Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H.dual())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Basic Visualization Parameters\n", + "We will now explore some of the basic visualization parameters that are special for hypergraph visualization\n", + "* collapsing vertices and edges\n", + "* label options" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Collapsing Vertices\n", + "By passing in a hypergraph with its nodes collapsed (using `H.collapse_nodes()`), we show nodes with identical hyper edge membership to be collapsed into a single dot. The drawing tool automatically detects if nodes and edges have been collapsed, and the dot is labeled with the list of nodes it represents. In this case, `{CN, CC, BR}` and `{CH, JU}` were collapsed. The size of the dot increases to reflect the number of members. We pass `with_node_counts=True` to show the number of nodes in the collapsed node instead of its label." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## A note on random seeds\n", + "We will use a consistent random seed across the next few diagrams to make the layout consistent. This is done by passing an arbitrary integer `{'seed': 39}` to the layout algorithm. The default layout algorithm is `nx.spring_layout` which takes a `seed` parameter which determines the inital random positioning of the vertices. Thus, `39` is passed into this function for that parameter to make the initial position (and final position) consistent each time the cell is executed." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.259249Z", + "start_time": "2024-05-16T15:25:38.175484Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.163345Z", + "iopub.status.busy": "2024-04-03T18:43:53.163029Z", + "iopub.status.idle": "2024-04-03T18:43:53.302276Z", + "shell.execute_reply": "2024-04-03T18:43:53.302025Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.163314Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "kwargs = {'layout_kwargs': {'seed': 39}, 'with_node_counts': True}\n", + "\n", + "hnx.drawing.draw(H.collapse_nodes(), **kwargs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Label options\n", + "For anything but trivially small hypergraphs, the number of items in a collapsed element can be large, causing the label to be very long. You can set `with_node_counts=True` to mitigate this. This will replae node labels with counts where there is more than one element at that node.\n", + "\n", + "The collapsed nodes from above have been replaced with `x3` and `x2`, and the rest of the labels have disappeared." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similarly, hyperedges can be collapsed and relabeled. We will use the dual to illustrate this." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.347132Z", + "start_time": "2024-05-16T15:25:38.260393Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.302659Z", + "iopub.status.busy": "2024-04-03T18:43:53.302595Z", + "iopub.status.idle": "2024-04-03T18:43:53.364402Z", + "shell.execute_reply": "2024-04-03T18:43:53.364060Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.302653Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H.dual().collapse_edges(), with_edge_counts=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Disabling labels\n", + "If edge or node lables are a distraction, they can be turned off completely by passing in `with_edge_labels=False` or `with_node_labels=False`" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.395298Z", + "start_time": "2024-05-16T15:25:38.348302Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.365941Z", + "iopub.status.busy": "2024-04-03T18:43:53.365839Z", + "iopub.status.idle": "2024-04-03T18:43:53.394567Z", + "shell.execute_reply": "2024-04-03T18:43:53.394297Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.365933Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H, with_edge_labels=False, with_node_labels=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced Visualization Parameters\n", + "Properties like colors and thickness can be adjusted. This allows style parameters to be passed directly to the corresponding Matplotlib function. The mapping is as follows:\n", + "* `edges_kwargs` => `matplotlib.collections.PolyCollection`\n", + "* `nodes_kwargs` => `matplotlib.collections.PolyCollection`\n", + "* `edge_labels_kwargs` => `matplotlib.annotate`\n", + "* `node_labels_kwargs` => `matplotlib.annotate`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Colors\n", + "By default, we cycle through one of 10 unique colors for edges. This can be overridden using the `edges_kwargs` parameter. Here we adjust the linewidth, edge color, and face color." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.481555Z", + "start_time": "2024-05-16T15:25:38.396208Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.394986Z", + "iopub.status.busy": "2024-04-03T18:43:53.394895Z", + "iopub.status.idle": "2024-04-03T18:43:53.456663Z", + "shell.execute_reply": "2024-04-03T18:43:53.456406Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.394977Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H.collapse_nodes(),\n", + " edges_kwargs={\n", + " 'linewidths': 2,\n", + " 'edgecolors': 'brown',\n", + " 'facecolors': 'pink'\n", + " },\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Node colors\n", + "Pass an array of matplotlib colors to configure the individual colors of each node. The order of the array corresponds to the order returned by `H.__iter__()`.\n", + "\n", + "In this example, we color the collapsed nodes red that are larger than 1 node:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.573758Z", + "start_time": "2024-05-16T15:25:38.483491Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.457101Z", + "iopub.status.busy": "2024-04-03T18:43:53.457033Z", + "iopub.status.idle": "2024-04-03T18:43:53.521883Z", + "shell.execute_reply": "2024-04-03T18:43:53.521637Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.457094Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from hypernetx.drawing.util import get_collapsed_size\n", + "H_collapsed = H.collapse_nodes()\n", + "\n", + "colors = [\n", + " 'red' if get_collapsed_size(v) > 1 else 'black'\n", + " for v in H_collapsed\n", + "]\n", + "\n", + "hnx.drawing.draw(\n", + " H_collapsed,\n", + " edges_kwargs={\n", + " 'edgecolors': 'black'\n", + " },\n", + " nodes_kwargs={\n", + " 'facecolors': colors\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Edge colors\n", + "Pass an array of matplotlib colors to configure the individual colors of each edge. The order of the array corresponds to the order returned by `H.edges()`." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.655569Z", + "start_time": "2024-05-16T15:25:38.574791Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.522285Z", + "iopub.status.busy": "2024-04-03T18:43:53.522216Z", + "iopub.status.idle": "2024-04-03T18:43:53.581628Z", + "shell.execute_reply": "2024-04-03T18:43:53.581379Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.522278Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cmap = plt.cm.Blues\n", + "alpha = .75\n", + "\n", + "sizes = np.array([H.size(e) for e in H.edges()])\n", + "norm = plt.Normalize(sizes.min(), sizes.max())\n", + "\n", + "hnx.drawing.draw(H,\n", + " edges_kwargs={\n", + " 'facecolors': cmap(norm(sizes))*(1, 1, 1, alpha),\n", + " 'edgecolors': 'black',\n", + " 'linewidths': 2\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Font\n", + "Fontsize and other attributes can be set with the `node_labels_kwargs` and `edge_labels_kwargs` parameters. Here we set the font size at 24 to make the nodes appear large for illustrative purposes." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.751373Z", + "start_time": "2024-05-16T15:25:38.658700Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.582143Z", + "iopub.status.busy": "2024-04-03T18:43:53.582043Z", + "iopub.status.idle": "2024-04-03T18:43:53.646485Z", + "shell.execute_reply": "2024-04-03T18:43:53.646211Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.582136Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hnx.drawing.draw(H.collapse_nodes(),\n", + " node_labels_kwargs={\n", + " 'fontsize': 24\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Font attributes can be individually set by passing in a dictionary mapping nodes to values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:38.837848Z", + "start_time": "2024-05-16T15:25:38.752321Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.647088Z", + "iopub.status.busy": "2024-04-03T18:43:53.647018Z", + "iopub.status.idle": "2024-04-03T18:43:53.706684Z", + "shell.execute_reply": "2024-04-03T18:43:53.706343Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.647081Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scenes = {\n", + " 0: ('FN', 'TH'),\n", + " 1: ('TH', 'JV'),\n", + " 2: ('BM', 'FN', 'JA'),\n", + " 3: ('JV', 'JU', 'CH', 'BM'),\n", + " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " 5: ('TH', 'GP'),\n", + " 6: ('GP', 'MP'),\n", + " 7: ('MA', 'GP')\n", + "}\n", + "\n", + "H = hnx.Hypergraph(scenes)\n", + "\n", + "colors = defaultdict(lambda: plt.cm.tab10(len(colors)%10))\n", + "\n", + "def get_node_color(v):\n", + " return colors[v]\n", + "\n", + "def get_cell_color(e):\n", + " return get_node_color(e[1])\n", + "\n", + "hnx.draw(\n", + " H,\n", + " with_additional_edges=nx.DiGraph(H.incidences.items),\n", + " edges_kwargs={'edgecolors': 'black'},\n", + " nodes_kwargs={'color': get_node_color},\n", + " additional_edges_kwargs={'edge_color': get_cell_color},\n", + " edge_labels_on_edge=False, edge_label_alpha=1\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:43.444709Z", + "start_time": "2024-05-16T15:25:42.769974Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:53.784576Z", + "iopub.status.busy": "2024-04-03T18:43:53.784491Z", + "iopub.status.idle": "2024-04-03T18:43:54.345883Z", + "shell.execute_reply": "2024-04-03T18:43:54.345435Z", + "shell.execute_reply.started": "2024-04-03T18:43:53.784566Z" + }, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "data": { + "image/png": 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mIiKiF4sVWyIieiEGBgYQiUTw/vvvQ9d1TExMyGnFiqLgtddew/Xr1/Hee+8hGo1iZmYGH3zwgby/2+3G9773Pdy8eRO///3voeu63O4HAIaGhvDd734Xd+/exYMHD+ByuRCNRjE1NfXUc6vVaggEApaW5UKhgFgsBgC7VmyTvhQaJW71Q0RE9LIx2BIR0VdOVVUAwMmTJ3Hy5EnH2wwODuKP//iPLZ/7i7/4C8vH4XAYr7/++q7HGRoawtDQ0HOf38cff4xisYhgMIhIJIJQKISdnR2k02kUCgXkmju2+wTcAQTdQeQb3dAbCoWe+7hERET05WCwJSL6lrlz5w4qlQpOnzkFj9+NXL2I//K3/2fb7c6mjuHH6dewtraGaDQKwzDg8XjwyiuvPPcx2+32l3HqX5kTJ06gVCqhXq+jXq8jn89D0zRsbW11/+zbArzW+4T0EDKZDIrFIvx+/3NPXSYiIqIvD/8vTET0LdPpdJDL5ZDbyWNgNI1UKI5au461yrbldhv5LYxvRaEoChqNBgYHB5FMJl/SWX+14vG4ZejU9vY2rl+/jvPnz6OttbFQse+Fq5Y0XJ29Kj/+5S9/iXA4jEgkYvlvOBxGMBiEy8WxFkRERF8VBlsiom+gTqeDarWKWq3m+F/DMHDp0iX86T/4KVwuF84OH7cF24rRwOT0Iej5FtbX13H06NEvXJX8IlXeF6ndbsPtdkNRFADdPXF9Ph+CwSBq7ZrjfY6MHsHBqYO4c+cOfD4f0uk06vU6KpUKMpkMms2mvK2iKAiFQohEIpbAKz72er2OxyAiIqJnw2BLRPQNYRgGcrkc5ubmsLa2Jvd/9Xg8CAaDCIVCSKfTiEQi2NrawszMDAzDAACcGz6Bv3z0vu0xb+Ue4a30WaysrCCXy2FwcPCFPqcX5bPPPkO5XEYgEEAoFEK1WoXb7UYul8O2a9vxPglvAj6fD6qqYnh4GAcPHrR8XdM0NBoN+ader6PRaCCbzWJ5eVmuO1YUBel0GqOjoxgZGeF0ZSIioi+AwZaIaI/rdDpYWVnB3NwcSqUSQqEQDh06hFQqhWAwCK/XKyuRAOS6UZ/PB0MzADdwdviY42Nf3riFo9ooXC4Xbt26hXg8ju9///sv6qm9MPv370exWESz2USj0ZDV1nv37iHXlwMcOrDb+TZyvhza7TYCgYDt6263W1ZkexmGgU6ng0ajgVKphGw2i1u3buHGjRuIx+MYHR3F6OgoEomE5XtHREREzhhsiYj2qHK5jLm5OSwtLUFVVQwMDOD8+fPo6+t7YhgS7cSlUgmhaABRXxTJQAwHkuOYL6xabnu/uICMkoHb7YamaUin01/pc3pZ4vG4nGrcarVw5coVTE1NIRKJ4GL9Y9vtXboLKwsrUKBAURTcvXsX8/PzCIVCCIVCskIu/tt7ccG8d288HsfExARUVcXOzg62t7fx6NEj3Lt3D8FgUIbc/v5+rtMlIiLaBYMtEdEeous61tfXMTc3h2w2C5/Ph4mJCYyPjyMYDFpu22g0UK1WZQusmPhbr9cBAPfv34fb50I03h2adH74hC3YNtBGdKoPacQwOzuLeDz+Yp7oC6aqKgzDgKIoqFarALpbC3m9XtRddUC33j7hTeLszFnk83msrKxgYmICmqah1WqhWCxia2tLthoD3eptb9gNhUIIh8MyUHs8Hrldka7rKBQK2N7extraGubm5uD1ejE8PIzR0VEMDQ1xXS4REZEJgy0R0R5Qr9exsLCAhYUFNJtNJJNJnD59GkNDQ5Yqnq7ryGazck0s0K0OBgIBBAIBRCIRJBIJrK2tYXx8HKlkSt737PBx/Ot7v7Ed+25xHj8d+y7cbjd2dnYwMTHxjWqP1TQNV69eRavVQiAQgK7rUBQFxWIRXr8XVVRt94m5YnC5XHKN8vj4uO01UVUVzWbT8qfVaqFSqaDZbMr7hsNhDA4OYmBgAPF4HIqiwOVyoa+vD319fTh27BgqlQq2t7eRyWSwsrICl8uFgYEBuS6396IGERHRt41iiP+zEhHR14phGMhkMpibm8PGxgZcLhdGRkYwMTFh2ZoG6LbPrq2tYXV1Fc1mE9FoFENDQ0gkugOOzKFL13VcvHgR+/btw9jEKPoGuuG21m7gJ//qP4VmWMuTx0KT+I/7f4xSqQRN0xAKheDz+QB0Q7PX67X88fl88u/mScNO5ufnEQwG0dfXh//Xws+xWrcOapqKj+K/OPcf4da1O+h0OjIMRiIR+P1+27Gft1VXhM9qtYpWq4V2u41CoQBd12EYBpreJtYn1mz3m2xPYb9rP8rlMmq1Gi5cuPBcYd8wDLTbbVQqFeTzeeTzeaiqCr/fj4GBAQwMDKCvr8/x+dTrdWQyGWQyGRQKBRiGgVQqJVuWY7HYc70GRERE3wSs2BIRfc20220sLS1hfn4elUoFkUgER48exejoqGW7HcMwUCgUsLKygu3tbSiKgv7+fhw9evSJk3VdLhdcLld3cFGxLINt2BfEsfR+3MnOWW4/V19DpVaBz+dDo9FAIpFAOByWa0R3C3SapkHTNMvnDMOQLbvNZhOZTAaBQACZTAY3du5jRy9Zbh/2BqHpGur1OrxeLzRNkxVPVVXR6XQst/f5fPD7/fD7/Za/+/3+XUO21+u17M9bLBbR19eH/v5+rLRXsA57sG3n21iqLsmPL126BL/fLyvjvX/cbrfl/oqiyPNKp9MwDAPlchm5XA7ZbBarq6twu93o7+/HwMAA+vv7ZetxKBTC5OQkJicn0W63kc1mkclkcO/ePdy+fRuRSESG3KettyYiIvqmYLAlIvqaKBQKmJ+fx/LyMnRdx+DgII4dO4ZkMmkJJ6qqYmNjAysrK6hWqwgGg5icnMTg4KAt+Ip9a0WQFH80TcP29jYqlTL2H56U9zk7fNwWbDtQgQE/JkKjePToEVwul61ibKbrOtrtNlqtluWP+JzYhgjoBjxVVbvb5iia7bGC3m5VVmwzpOs6KpUKUqkUEomEnC7cbrflf9vtNmq1GgqFgiVYu1wux8ArPudyudDpdKCqKgKBABRFQcPdAOynhWMTx+DX/VhaWpIDoMTzLBQKaLVaMDdEeb1eS9D1+/0IhUKIRqNQlO4Aqng8jng8jqmpKdTrdeRyOeTzeWxtbUFRFKRSKdmyLKYw+3w+GWI1TUMul0Mmk8Hi4iIePnwIv9+PkZERjI6OYnBw0BawiYiIvikYbImIXiJN0+RwoFwuh0AggKmpKYyNjdm2kKlUKlhdXcX6+jo0TUNfXx8mJyflukzzY2azWWxubqJWqwHoBisR4CKRCHZ2dmToMTs/fAL//NZf2s7zXmkBh6ITCIVCKBaLSCQSlrBq/mMemiRalX0+HwKBAGKxmPxYVVWsrq5ieHgYPp8PnR17ggx5A5bn5nK54PF45HY85unCu72+vaG30+mgWCxaWpuB7vAmcWGgWq1C0zQUAwWgpxvYDTeCCEJxd0N5KpXCwMCA5TaGYUBVVVuobzQa8tji+5JKpdDX14d4PC6ryuFwGOFwGBMTE2i1WjLk3r9/H/fu3UMsFpMhNxKJQFEUuN1u2cZsGAaKxSIymQy2t7exuLgIt9uNoaEhjI6OYnh4GH6/3/E1IyIi2osYbImIXoJqtSqHQbXbbfT19WFmZsa2pYuu69je3sbKygoKhQK8Xi9GRkYwNDRkCyb1eh1bW1vY3t6GpmmIxWI4cOAAotGoba2mmPzr8Xigqho8nm4l70T/QfjcXrQ1a4vv9Z0HOKNOymrv7du35dc8Ho8Mq8FgUAZNn88Hj8ezaytssViU9weAlt623SboCcCAgdXVVUvbcalUgsvlksfd7VhiGrHTcCURPkXgbbfb8nUplUrI5/MoThSBnvznV/3YKe/A4/FA0zTH6cTmtcdObeG6rqNer6NUKqFYLGJ7exsulwvJZBKpVAqpVEo+rrgAMTIyAlVV5ZrchYUFzM7OIhgMypArqvuKoiCZTCKZTOLw4cOo1Wpy+NTly5ehKArS6bSs9obDYcfvERER0V7BYEtE9IIYhoGtrS3Mzc1hc3MTHo8Ho6OjGB8ft4WfRqMhh0G1223EYjEcOXLENlDIMAzkcjlsbm6iVCrB4/EgnU4jnU4/sSLndrvRarVQq9XQarbgiXS3nPF7fDg1cBhXN+9abr/S2kZb7yAUCqFarcoKo2jhfR6iVblarUJRFOzs7KDZbkI1dq/YulwuGb4ajQY0TcPOzo6trVmEXHPgFR87rXMV4VM8drvdlkO6VF3FkrJoOydPy4tsNgtd1+FyubC8vIy1tTXH9mbxp/c1crlciEQicj1ss9lEsVhEqVTC7OwsACAWi8nJyKJ67/F4ZFVW13WUSiXkcjlsbGxgaWkJXq9Xfj2dTssKsDjWgQMH5NrmTCaDmzdv4saNG0gkErJlOZFIcF0uERHtOQy2RERfsVarhcXFRczPz6NWqyEWi+HkyZMYGhqyrYnN5XJYWVlBJpORraVDQ0O2ilq73cbW1ha2trbQbrcRDocxOTmJRCJhC76VSgW1Ws3SNtxud6uji4uLGBjpR/jzYAsA54eP24KtDh21qIp9sQnZztvbKm0+ZqfTsbT/mv+Ida8iPNVqNXRcDgtZAQQ9fjlESfD7/cjlcti3b59coyvWxopjipZoc/B1u92WsGkOvV6vt7umttGQFxmariYM2DcOGAgPYGr/FCqVCrLZrNx31lz1fdpQq2AwiFgsJr9XgUBA7mErWqVLpRKWlpawuLiIcDgsW5bD4bAM+6IqaxgGqtWqbFleX1+Hy+VCOp2WQVe0awcCAUxMTGBiYgKqqsrhU48ePcK9e/cQCoXkNkK9HQRERERfVwy2RERfAcMwkM/nMTc3h9XVVQDA0NAQTp06ZVsT2+l0sL6+jpWVFdTrdYRCIRw4cAD9/f224Fsul7GxsYF8Pi8HCqXTaYRCIcvxO50OdnZ2sLOzg3a7LUOd1+tFLBZDs9lEo9HA2NgYfF7r+tRzwycA/Bvbc7pfXcLx2H6EQiG5zU1vK68ItL1rV71eLzweD4LBoPx7Pp+X4SvfLgEF++sY8gZt1UMR0NrtNkKhENxut2N1WkxgbrfblvArhkv1rgV2u93QdR2NRgP5fB6lQAkI2R4WEXTXtIr9blOplO0cn2WolaIoiMViSCQSSCQS8nvt9XrR39+P/v5+aJqGcrmMYrGIjY0NrK6uwufzyUquCMeKoiAajSIajWJychKNRkOG3Dt37gAAkskkBgYGMDg4KH9ePB4PhoeHMTw8DF3Xkc/nkclksLq6itnZWdn6PjExgaGhIVZyiYjoa4vBlojoS6SqKlZWVjA3N4disYhgMIhDhw5hdHTUNuCoVCphZWUFm5ubMAwDfX19OHDgAGKxmG0KciaTwebmJhqNBgKBgNzKxdxeK6YgZ7NZFArdlBiLxTA6OmoLvrlcTm6hYw54AHC4bxJhbxC1TsPy+Tv5WZzvHJC3X1zstum63W4ZXkOhkGwDFsOYdqv4ZTIZeV4tveN4m6DXD0VRkMlkZJVZBMBisSjXuO7WamweCNVL13WoqirDbqPRQL1eR6fTQaFQQC6+4xhsW/kWiq4iGo0GPB4PDMOwBb6nDbVqtVqoVCqoVCpYXl7G8vIyIpEI4vE4EomErIa73W5LVbZSqaBUKmFnZwebm5twu92ykmsOx8FgEGNjYxgbG0O73Zbrch89eoSHDx8iEonIkCt+3sRFhnQ6jWPHjqFcLsuW5VKphOHhYcfnQkRE9HXAYEtE9CWoVCqYm5vD0tISOp0O+vv7ce7cOaTTadvE4q2tLaysrKBUKsHv92N8fByDg4O2EFSr1bC5uYlMJgNd15FIJDA2Nian4ArmSluj0YDP58PAwIAl6PRyu90yCPtKXgwOP57q63G5MTN0DB+tXrPcZ0PNQfMYiAajqNVqCIfDSKfTux5jN7quo9PpQNM0OQxpq5lxvG3I0w14igJZlRWtzPV6XQ57Es9JBGzx50kB2+VyyfAZCoVgGAYajQZGRkagKArKLuueugCgGAo6pQ6yalZ+D+7duwePx2Nrb37SUCvzHradTgfVahWVSgUbGxtYX19HMBiUITcUCsmBULFYDLFYDGNjY3LCcqlUQjbbPZ9EIoG+vj6kUin58+Tz+WSbs6ZpKBQKyOfzWFlZwcLCAvx+vxw+lUqlZAVYbD906NAheVGBiIjo64rBlojoC9J1HRsbG5ibm0Mmk4HP58PY2BjGx8dtFdJ6vY7V1VWsra2h0+kgkUjg2LFjtjZWXdflMKhyuSyHAaXTaVvwFUOA8vk8NE1DNBrFvn375BpM82OWSiU0Gg1LeywArK+vo91p49DRg5bHPjd83BZsASDnr2EsNgLDMNBsNh33Rd2tBVi0KYtju91uVKtVuN1uNIym42sc9HaDbV86DU19vA63XC6j3W6jv79fVl01TZOBudls2irR5unNIuyKj8UwLZ/PJ1+7ustasQaAkBHC2OiYHAQmQrF4js1mE5VKxbZ/rjiO1+tFMBhEJBKRU4+9Xq+symqahlqthnK5jGw2i62tLXi9XsTjcSSTSUQiERk8Q6EQQqEQRkZG0Gq15ITlubnuPsTRaFSGXPHz6Ha7ZVXWMAw5/VlM3hbDxwYHBy2t8LutpyYiIvq6YLAlInpOjUZDbtXTaDSQSCRw+vRpDA0N2QY3ZbNZrKysYGdnR060HR4etm0/02w25VY9nU4H0WgUU1NTtgm1IqRms1lUKhVLq2pv8G21Wt0taz5v2RWBLhgMIhQKoVQqob+/H4l43PYczw0fd3zuj2orOBM7BL/fj2q1ilKpW9UUgVkE2N6hTSJIhkIheDwe6LqOcrmMwcFBeDweZKpVoGo/XujzYOtSFJjHS3k8HtTrdfnYTkTAFqFT/BGhtzd8inbcfD4Pt8eNel/Nfj7G4yFemqbJymovUY12GmqVz+cBdNuFo9Eo4vG4rEa73W5ZlTUMA/V63dJ+LL6eSCTkvrdAtwIshkSpqipD7srKCpaWlhAMBmXIjUajsgIs1vdOTU2hVqshn88jl8tha2tLrh8eHBy07XdMRET0dcNgS0T0DERInZ+fx9raGlwuF4aHhzExMYFYLGa5bavVksOgms0mIpEIDh06JLdfMT9msVjE5uZmN0x9vl4ynU7bgm+73cbOzg6y2SxUVZWTa82TdcVjVioV5PN5WQ2NxWKIx+OW/VY7nQ5KpRLcbjc0TUevqcQY4r4ISm1r2rxbmser6mFomgaXy4VsNgsAMriKCqZY8+rxeByruqKFWHxttzW2ItgWSyVUK4/33hVhv1KpIBgMwu1221qNn7bGVoRPTdPQarXkOdXrdTSUBoy0fSIyakChUYDL5YJhGPK/Tvvn7jbUSlVV1Go11Ot17OzsyGp/LBZDNBq1tB6Hw2GEw2EMDg7KanC1WsXi4qIcGCVCrriw4fF45HApcQGhVCpha2sLa2tr8Hq9lnW5ItSLLYEmJibQbDblutx79+5hY2MD7777ruPrSERE9HXAYEtE9ASdTgdLS0uYn59HuVxGOBzGkSNHMDo6agmKIqSurKxga2sLANDf348jR44gGo3aHnN7extbW1toNpsIBoOYmJhAMpm0Bd9qtYpMJoNisQiXyyVbUnuDrxh4lM/noaoqAoEABgYGEI1GHYc3ic+1Wq1uwOuo8Hgf/y9BURScSBzAxcxNy/1yehmqz0DSn0Cz2YRhGM89LdcwDLlfbL1e7677rBYdbxv8fI0tDEMGVE3ToOs6DMOQzxmwVobNwVr8fbfwKV6ParWKVCoFj8eDnCvneD7uRrd9WtM0uN1uWWUXob53ja/TUCuPxyPXr4opzNVqFYVCQVb2o9EoYrEYwuGwDJ7BYBDBYBADAwPodDool8uoVCpYXV3FysoKQqGQrMAGAo/3/xWfE2uqi8UiisUitre35ZZBopprbj0eGRnp7uerqmg07G3Zgq7reP/99xEIBPDGG2/Iz7fbbbz33nuYnJzEqVOndr0/ERHRl4HBlojIQbFYxPz8PJaXl6FpGgYGBnDkyBHbmlhVVbG5uYmVlRVUKhUEAgHs27cPg4ODluALdKuLm5ubssqZSCQwMTFhWxOraRpyuRyy2SyazSb8fj+Gh4ctracAZKtqPp9HuVyWVbd4PG5bE6mqKsrlstzDVlVVGcbF48Ti1srzuZETtmALANueEsbCw3C5XCiVStA0zVYVNU8cNrcCi7+LimSxWOzuH6u2HL8PomIbTyTgq1vDVaFQgM/nQyAQsFRfxYRjczs0YN12qPfv7XZbbvkDAA23c5Abjg4hFAmjXq+jXC4jnU5bnmuj0UClUnFsxRbDpCKRiFzL63K5ZFVWDK+q1Woy6LpcLkQiEbmVj3lLIFGVVVVVDp/a2trCxsYG/H6/HD4lho2Zq7Kjo6NoNpuyZfnRo0fd1zkelyFX/Ax5PB6kUinH1wPoXhR45ZVX8Dd/8zdYXl7Gvn37AADXr1+Hz+fD8ePObe1CpVKxDUT7KmUyGXzwwQf48z//812nVj/Lbb4M77//PhKJBGZmZr6yYxARfVsw2BIRmWxtbeHevXvY2dmB3+/Hvn37MD4+bguK1WoVKysr2NjYgKqqSKVSOHHihG1NrKZpcmuWarUKn8+H4eFh9PX12YJvvV5HNptFPp+HYRiIRqMYGhqSranmxxRDf5rNJrxeL9LpNCKRiG3f20ajISt7QLcSJ7blqVQq8Pv9iEQi0HV72+0rY6eAG/bXaLaxirPRIzIEFotFuN1uS4B1CpWiNTcUCqHRaMDtdsv1nu7CAuCQbUXF1uWyhx6PxwNN03YdbKTruiXwmsNn72ApURXN5/PweDwoJ8v2BzSAgBGUjy2Cou1mn6/t7R1q1el0UKvVkMvl4PV6EYlEEA6HEQwGZfAUA6HS6bTc97ZWq2F9fR0AEA6HZcuyufVYVGV1XUetVpPt6JlMBm63W37dvO+tqAAPDQ2h3W6jVCqhVCphcXERCwsLCIfDMuQmEgnH11iIRqM4deoUrl+/joGBAeTzeayuruKHP/yhYyu62aVLl9ButzE6OorR0VGk0+ldt4h6Ufr6+vCnf/qntn+jX9RuQfn1119/6c+ViOibgsGWiAjdoHL37l3cv38fyWQS09PTGBgYsLzp1HUdmUwGKysryOfz8Hq9chuV3nDVaDTkVj2qqiIWiznuUavrOgqFArLZLGq1mlwfmUwmbW+qxbrHYrEIXdcRDocxOjoqg5H5MSuVCorFIlqtlgw+4XDYEnzr9TpcLhc8Hg86bfsa132pEaQ8UeTViuXzDypLWO+sy4pjvV6X1U4RXsXfRaDtrcbV63XLWtnd1tgGPH55e3PLsdiuSFSBnbbUcblcciJxL3P41DRNrq8VFd9ayj7JytfxoVQoyRDvdruhqqrt+T1pba+u62g2m7KyWygU4Ha7EQ6HEYlEEAqFZPAUWwKlUilZla3Vatja2sLm5iYCgYBsWTa3HovqrriwIfbLzeVy8uvJZBLxeFyeo8/nQ39/P/r7++WFk1KpJNeKi8FUT3Lo0CGsr6/j008/RalUwvHjx58aiAHg+PHjWF1dxerqKmZnZ+XFn9HRUQwNDT33dlJfBrfbbWv3/yo4rcEmIqIvhsGWiL71ms0mPvnkE2QyGRw+fBhTU1OWoNJsNuVWPa1WC7FYDIcPH7ZVlgzDQD6fx+bmpqxi9vX1ob+/3/YGttVqyWFQmqYhHA5jfHxcVjAFMfwnn8/LKcCixbT3Db+oupXLZTmxd2BgwBZ8BZfLJSuY1WoV/YNp29fHXQPIwxpsy0YdnaCBgUASnU4HzWbTdhHgScT6WPHaapqGats+gTjg8cH9+WOaBzSpqopWq1vedbvdyGQy8u/mdbbmYN1bNTSHT3EhIBKJwO/3w4CBJf+i7Xx8HZ9s4xbPdW1tTT6WubXZ/LH5tXe5XLIqaxgGWq0WGo2GbG12uVxyOyDzhQhzVVbTNNTrdTnFOJvNwuPxyCFhwWDQtiXQ4OAgWq0WKpUKyuUylpaWAACRSEQ+rnkycyqVQiqVgq7rqFartgq3E0VRcO7cOfzmN79BPB7H0aNHn3ofALKSbBgGyuUytre3kclksLy8DJfLhcHBQYyOjmJkZOSZtx3SNA03b97E6uoqOp0OUqkUpqenLS3VOzs7uH37NiqVChKJBC5cuCAnXDtVWLPZLG7fvi1b4EdHR3H69GnL2u87d+5gZWUFrVYLoVAIR48exeDgID744AMAwC9+8QsAwOTkJF555RVLK/KtW7eQyWTwwx/+0PJc3nvvPYyNjeHEiRMAgIWFBTx8+FDuJX3o0CEcPGjdrouI6NuIwZaIvtWy2SwuXboEXddx4cIF9PX1AXgcUldWVpDJZKAoCgYGBjA0NGRrP22329je3sbm5iba7TbC4TD27duHZDJpC75if1IxkTiRSCCZTNqCb6fTQT6fR6FQgKqqsmVUDBMyP6bYdkcEX7Emszf4mtfZijW2QLe6HEtYB1wJp9OHcHNj3vb5dSWHMd8Q3G43ms0m2u22JXSIampvS674u9jDVmhqbdsxQp7HFbNINAq1o1m+LiqtYo2ypmlywnG9Xrc9Xm/gFX8XbdMi/LaVNnTFPik65o7JYCTCjc/ns01XNm8jJB7XPDFaVFcVRUEgEEAgEEAy2b1IUK/XUa/Xsb29DQCWkCsClmjhjkajsgIs9r4V07XF183Dw0QFOJ1Oo9PpoFqtolwuY319HWtrawgGg3LCsmh/d7lciMViz1xZXFxchNvtRq1WQ6PRQDgcfup9xM+hoihyqNbhw4dRq9WQyWSQyWTw2WefAei2CO/fvx9TU1NPfMxbt25hfX0dr7zyCkKhEB4+fIgPP/wQP/7xjy23mZ6eRiAQwO3bt/HRRx/hxz/+seMFmmq1it///vc4efIkLly4gFarhWvXruHatWt45ZVXAACXL19GLpfDzMwMEokEarUaWq0WgsEgXn/9dVy8eBE//vGPd50Uvm/fPjx48ADValX+jhGV89dffx0AsLy8jDt37uDs2bNIJBIoFov47LPP4PF4MDk5+dTXmojom4zBloi+lQzDwKNHj3Dr1i0kEgmcOXNGBrNms4mbN2+iUCggFAphamoKAwMDtvWr5XIZm5ubyOW6E3RTqRT6+/sRCoUsx1JVVVZnRQAcGRlBLBZzHAa1s7ODSqUiQ4VTsBB7lZZKJaiqKgOLaGU1P6ZoR200GjJMBYNBGcaSyST8PufgciZ9GP9i4ze2z8811nA+dFSuNa1UKqjX6/Ixe9fYulwuS6AUe/WKbXqMHQA9RcGg12+6v3PF2bw2tZc4DxF4xZ92u205P/EYpVIJHo8HzbDz4KiAFpSvqa7rMqj26m1zFv8Va1/NlVRRXQW6A6FEsBOVdPHzkM1m4ff75aApc+uxeV2u2LaoXq/LwVyRSASxWAyRSES2ZXu9Xrn/sbhAUKlUkMlksLm5Ca/XKyu5TuuInezs7ODRo0d46623cO/ePVy5cgVvvfXWU4dCXblyBV6vFwMDA+jv75f/zsLhMKampjA1NYV2uy1D7vz8/BODraqqmJ+fx4ULFzA8PAwAOH/+PH79619jcXFRXpw4fvw4hoaGAACvvPIKfvWrX2F9fR3j4+O2x7x//z4mJiZw+PBhAN01xTMzM/jggw9w7tw51Ot1rK6u4q233sLg4CAAWF43cVHC7/fvOoxKdGIsLy/L6uzy8rLcexgA7t69i+npaYyNjcljlMtlzM/PM9gS0bcegy0Rfeu0221cuXIF6+vrmJqawqFDh2S4yOVyuHmzOwnYaRiUqqrIZrPY3NxEvV6H3+/HyMgI+vr6bMHXPAwKAGKxmOOaWE3T5LY17XZbrncUwc/8mI1GA8ViEbVaTQakaDTqGHxFWNE0TQYVc5ASYdftdqPVsldMASAVTGDAk0BGLVo+P1tfw46xI0OhCJDm7XXMf8wajYZtXWzbYY2tmIgMdCvYYgCWCMMi2Irq827b+ew2AEgE3Xq9LgO6qqoo6xXH23eKHVT0ijyOCLjPun+uYRjodDpoNBqyygp0q7Ii5Jpbj0XFVdM0NJtN1Ot1OTTM4/HICceBQEC+FqICLF4zsS5XDJ8SPy/miyWivT0ej8uf23K5jGKxiGw2C7fbjbGxMcfAJ6iqisuXL+PAgQMYGBhAOBzGe++9h/n5+ae2yabTaayurmJzcxOKoqCvr0+u6RXPxefzYWxsDGNjY7LCu5tqtQpd15FOP26td7lcSKVSKJfLMtiK7gygGzij0SjKZYehYegOSCuVSlhZWZGfMwxDbqFUKpWgKAr6+/ufeG5PMzExgcXFRZw4cQKGYWB1dVWGafFv+sqVK7KCDXRb+7+sIVdERHsZgy0RfasUi0VcvHgRzWYTMzMzsrpiGAYWFxfx6NEjxONxHDlyxFJZEUN7MpkMNE1DPB7HwYMHHdfEimm0jUYDXq8X/f39SCaTtqDTaDSQz+dRKpVgGAYikQj6+/sdg68YBtVut2W1LRQK2cJ0s9mUYQbohqZwOOzYSqooitxTVlWdhzfpho5RpJFB0XruaKEWaGPE3y9fn1gs9kxvsEUYFO3Kuq47tiLLPWx7iCnDIuBomiZbcEVluPe/TlVDEXxrtRq8Xq8cFlSMFG23hQF42160tBZ0XYfb7Zb7wZqDrHldb+/gLEVRZPuyuSrbbDZl1V9UgcPhsHwtxXApsSWQGD5VrVblWm5xn3A4LC8kmKuyqqrKCcvZbBbb29vw+/2ykitajxVFkY8zNDSEZrOJSqWCZrP5xO/p7du3AQCnT58G0K22njlzBjdv3sTw8PATW5KHh4eRTqfl65DP53Hv3j3cu3cP8XgcAwMDGBwclC3nT5uy/FVQVRX79+/HoUOHbF8LhUKWtvo/xMTEBG7duoVCoSAvuogLCmKd8/nz523bL72orZKIiL7OGGyJ6FtjcXERV69eRTgcxuuvvy7bSDudDm7duoVsNovx8XFMTEzIN4rFYhErKysol8vweDzo7+9HOp22tRM2m01ks1nkcjlomoZIJIKJiQnb/py6rsuqW6PRkEOBzBNqhVarhWKxKPdFDYfDSCaTsg3V/JhijaWY1huLxSwVQKHdbqNarcp2XJfLhWKxCKAbEHtDQywWw7HYFK7n52yv56q+gwnPsKyWitANPK5mmduBzdvviFZu+VwNh2BrqtgGAgFb268I5Z1Opzv06fMKam+rMQAZiETQFX8X1Wbz82467GHr031IRBPyNWw0GojH45ZWZzFIq7eiKKrGwWBQTowGrFVZMRCr2WzKwOzxeGQl17wuV2zTk0wm5bnU63VLm7OYsmyuAIuqrK7rjsOnRCVXrOMWxwoEAmg0nNuzge6gpbm5Obz99tuWn7cDBw5gbW3tmVuSA4GA3PKn0+mgUCggl8thfn4es7OzcgjW2NjYE9ujI5EIXC4XdnZ2ZKAWF5zMwTSfz8uvt9ttVCoVxGIxx8dMJpMol8uyJbiXqHZns1l5scxMVPWfVm0OhULo7++X+2cPDg7KqrVYQlCtVuVewURE9BiDLRF946mqiuvXr2NxcRFjY2M4duyYDBelUgnXr1+Hqqo4fvy4rISINsCVlRWEw2FMTk4ikUjY1q+Kds1KpQK32y0rZL3Bt91uy2FQmqYhFArJSlZvSBXDoETwFeGnN6R2Oh2Uy2VUq1UYhoFAICBbTHsfU1T4xERfUcFtt9vysdutNoIh6xYnwWAA+wMjUKDAgPVN+XxrHa+GjsuA3Gw2ZQXWKVia24dF2BMfd+rWgUuAtRVZcRjoIyqloq25t3otgq75T2+1V9y22Wyi0+lAcSlopuzVSbG+VryeYjseJyLQm/+IoAZ0q7IiMJqDp8fjQTgchq7rMuSKAU/mtbTm1mMxECqRSEBVVdTrdTQaDbkeNRAIyJDr8/nk90G0MYv29lqthmq1ikKhIL8ejUYRiUSwsbHxxCrpwMAA/tE/+keOX3vrrbd2vZ8gtvjp6+uTr6lYczswMCC3H8rlclhbW0OhUJBrZ514PB4cOHAAt27dkhXwhw8fQtM07N+/X17IuXv3Lnw+nxweJZYVODl69Ch++9vf4tq1a5iamurudfz5BOezZ8/K3xFXrlzBzMwM4vE46vU6Wq0WxsfH5UWZzc1NDA0NPbFFft++fbh79y50Xcf09LTlaydOnMD169fh9XoxPDwslzG0220cOXLkqa81EdE3GYMtEX2jVatVXLx4EeVyGSdPnpRDV0RwvX//PsLhME6ePGlZm/jw4UMUi0UMDw9jaGjIEhQ7nY4c6NPpdBAMBjEyMoJ0Om15sypCg5hY7HK5MDo6aqmkCeZ9SkWr8/DwsK06K0JYrVaT63HFNijmxzSvrxRtyWI4kQgPnU4H7XZbhqRWq2ULtj6/D17djWFPHzbUHcvXFpsbKJVLcCnd0Clamz0ejwyx5jArzr9cLstWXaFt2Fuhza3I+udtmQAsjyu/7hCkRYhzIkJvq9VCu92W++K2jTY0lz1ku+su+T1UVVVOYTY/N/OxndbYiqnJrVZLDv7yeDyyAivWHIstf4LBoNwSyNx+bK7ahkIhSwVYDBtTVVXeR1Q+vV6vnLAs2t3Ng6zS6XR3D9/Pf2bEulwA8t/NV0EsA1hYWEA4HEZfXx/6+vpke7R5+yFRpX+a06dPwzAMXL58WW73873vfc9ywen06dO4fv06qtUqEokE3nzzzV0DfCKRwDvvvIPbt2/j/fffBwC5RZdw7tw53L59G1evXkW73UYoFMKxY8cAdCuxJ06cwK1bt3D58mW53Y+TsbExXLt2DYqi2IL2/v374Xa78fDhQ9y6dUtW4p1apImIvm0U42l9MUREe9T6+jouX74Mr9eL6elp2Waoqiru3buHjY0NDA0NYf/+/ZaBSvfv34eu65icnJT3EdvqZLNZua4yFutu/xIMBuH1ei1DqF42TdPwq1/9CvV63RKczMRkZbG29OSZ4xgetVbCOp0O/t0vf4MPW7fwaeeB7Tj/OPETTPi7rZdimNaT9hoVe8aKllxRRf2n+X9pu+1/cOxd/JNX/lcAgHu372NxbgnA41AqmEOseU2tud14tzbYWq0GXddlRa3irWAhZd/eaGhnCLFq3LIHr2A+bu/63t2ObQ7V5j15xfCn3qq7eN7mdbmdTvdigN/vl+3Hvd9jcSwxfKrRaMiWcxFyeydpA93v5cbGBhRFgdfrRTgcxrvvvuv4Gv6hVldX5WAs8UfXdfj9fhlyY7GYfD3EuvWv0tbWFj788EP8w3/4D1/Kml4iInp+rNgS0TeOruu4ffs2Hj58iMHBQZw8eVJWUqvVKm7cuIF6vY7Dhw9jYGAAQDc0bG5uYnFxUW7xI6o7nU4Hi4uLqFQq8Pl8GBwctK2J7a0gvmyiLbq31VlM5jUHI1EJrVZrtsfxer2IxqI40tiHTwv2YLusbmMyOCyPKQbciGOJ4GreAgeAZc2mU7UWAIKex62+vYFZhEtd12VrsVgva96jVzC3QJuDb++64pbHeUhSVInKCwDVahVerxder9fS5qyqKtrttu3YXq8XgUAAXq9Xfi96q7Ii4Iq1r+Ztmfx+vzx/cVxzVbbZbKJQKKBQKMgQGgwGLa3HoiorKv7mKcviXETQrVaryGQyCAaDctr3ky5W/KEMw7BUZUU7vmjz39jYgMfjkV8X/2a/Ks1mE+vr67ap5ERE9PXGYEtE3yiNRgOXLl1CLpfDkSNHMDk5KcPE5uYm7ty5A5/PhzNnzsjBMaqqYm5uDjs7O+jv78fo6KgMqdVqFQsLC9B1/YnDoFRV/dq1AwYCARlezes2xZpYn88n25l9Ph8M3bmBJxQKYZ8+BDdc0GBt+Z1vreON4ElZydR1HeVyWa5xNTMHf7ElkKIo0HQAdYfjeoOO9wUeT4EVVV9VVS1t2+JcetfZin1sBXP4VhQFtZA93AOAXwvI24sgttsaSfMxxfpasS+xqMaan495rSzQXfcsgq64AOD3+2XINa/LFWtlRZtzs9lEqVSyTEsW63Kdhk91Oh3U63XU63Vsb28/fr5+P1KplDxWJLL7VOM/1NLSktyKSgRx0VItth8S2+1kMhlsb2/L/We/Cr///e/R6XRw7ty5r+wYRET05WOwJaJvjEwmg0uXLgEAXnnlFSSTSQDdUPfw4UMsLy8jnU7j4MGD8g17rVbDgwcP0Gq1MDU1Je9jGAYymQzW1tYQCoUwNjZmCTKtVgu5XA6lUgmapu06dOZlMldnRZgT03lFqGy32zLwtJotx8fxeD2AamDM049lddvytdVOBqVaBV7FbQuuospobskVoc281rGjq3AS9D6u2OqGLlt2zY/Zu37XvLXObtU2EU7FJGJxO8Mw0PTYXwO36kGz2rSFaxHcndbYmvfQ9fv9MlCLECmGFpn38hXEhYZIJCLPUUzIFq9tb3u5OcSKydBiLbZ5WrKYsiyei1h3HQ6Hkclk5GTrdruN9fV1eL1epPvTGJ746oJko9HA5uam3GtZdBqI763Yfmh0dFQOKPsq/ehHP/pKH5+IiL4aDLZEtOcZhoGlpSXMzs5ieHgYhw4dkiG01Wrh4cOHqNVqOHnyJNLptAwS+Xweq6uriMViGB0dlRUzTdOwsbGBWq2GyclJpFIpeR8xjKfRaFiGQT1p+5GXxTxRV7TCOlU+RcVzt704XS4FjUYD465+LMMabDXoyHmr2O8blgOonjQxWEwUNrcS11Xn9l/LVGQ8DpKitdl6ji75PTEPrHJa59r7sWjZBYCOz94W7e/45Osk1vY2Gg1ZTe1d09t7DuZhUqJ1ut1uyyFau62pBazTkkU4bjabKJfLcgsq0bIsWp3F9zsQCCAej8v7iKALQA6eCgaD0DQNmUwGhmGgr68PgUBAHsswdJyaOf6VtuSKanIoFJLtx263G/F4HIlEArFYTB5fvFZERES9GGyJaM9TFAVTU1OYmpqyfS0SieD11193vF9/f/+uW2RMTk5+maeI999/H4lEAjMzM1/q4z6JCAu9VUFRyW21WjKsdfd+tU8DBoBoLIpQKITD6gQ+at+xfX2ps4kD/m7FWkwNNgdXc2uuqLaJdb0AUNOc90g1T0X2en2WKq/58c2B03wMM3PQFX/E1kfitVEVFZrbft+gFpRhSqyjFettzcfvdDq26cwul0uuixXB1+/3w+fzyceq1WqWwVu7hUi3222bltxqtVCtVlGtVuVaWXNQNrc5x+NxWcFvNBrI5XKW8xR7JItjRSJhHDl52DYp+8uWSqWQzWbRbrdx8OBBtFotuY1VPp+Xg9pE0GWwJSIiJwy2RETfUOY1toB1Eq9YJyoquCIsiPW3ZsFgt6I24knDp3jQNqzhb7G9adu/tlar2aqq5nAttgRSFAXoKIBD0dZcsXW57O2+AGTLr2ipFs9DtBubQzUAS+gW/xXb+DQDzpVjv2radujzirPT9GHzcUWgF+FVVLJFBdbn81kGUInbNJtNWYU1V5J7ieFSgUDAcqFC7EkLQIZcse8tAHnMSCSCUqmEWq0Gl8sFXdeRy+UsFeAT08cQCndDrbrLRY8vQ6fTweDgINbX15HJZDA0NIRgMIjBwUG0221UKhWUy2WsrKxgZWUFw8PDlm12iIiIAAZbIqJvNPNaUrH/qsfjkRVEMUxKBKh2q41A0DoB1/f5GlFd1zHuHsC8umH5+oa6g3KzioDrcRATE3x793kVwc1clWxjlzW2poqtAVjW2Jqrr+LvTlsAAbBVQEX4bDablvW1u01ERg1otpqyhfppe9ia98/1er0y6KqqCk3TZBuzWIMr1uH6/X7Zpiz2q+0Npk4URZHrcqPRqHwMUZkFuu3WIui6XC7k83m0Wi25flVUnEW78uHjBxFPxOQx/vLhv8d/cOwn8Ht8u53GF6LrOtbW1tBsNuH3+5HNZhEIBJBIJOR5iy1/VFWVQ7iIiIh6MdgSEb0EGxsb+PTTT3H27Fn09/fjxo0b2N7ehqIoSKfTmJmZQTgcRjabxQcffIA/+ZM/ke2vAHD9+nUUCgV8//vf3/UYYhqvrutyLafTsCKxFY9hGGg0GrZg6/f70Gx2Q9+EQ7A1AGy7izjinwAAGeDE2lNBBE/zsCfDMNDU2nBiWWOrPL6/0/brIkyKsGpe3+oUPsVjmKvWWtC5Khn4vGIrKr+KoshW6t6Q7bS21zxMSjyO2PpIrH0VFwLEelpRxRUh+EnDpnqJsCzW5YqWZbFHrBCJROT+vaJF2u/3Y2JqDKMTj4ehbVV38M8++1f4/97+NRKBmOVYP0idx0ys284vJkC3Wi3Zlu3xeOD3+zG2bwzDo/YBVJ1OG8lUErVqtx1bURSsra0hn88jHo8jFovJ9fIej8fSLk1ERGTGYEtE9IItLy/j6tWrePXVVzE0NIS/+Zu/QV9fH9555x24XC7cu3cPH374Id5991309/cjEolgeXkZR48eBdANRisrKzh9+vQTj9NqtWRg6W2dFRVE0Zorgmuj3kAylbTcVlT6AOCgNob3Wzdsx1rqbMtg63K5ZIVXVFJFmBPnZQ6njY7zGltzsPV4vJa1leZWY/PWQua9cs12q+6aQ2LL6zARWfMg4A4Anxd9RcVZDIIytx2L/XQFEWjF7c172Iq1t+b9fUXbMtAN3D6fzzI0yjwIrHfLoN2YpyWLoVNCtVqVa3vFut+hkQFLqAWA//7y/4Sm2saWuoOt2o78/LC3D/vi/bahY+KChtiXN5/PY2NjAz/443cQ7tk2yOP1YHzfGDbXthCPx9FqtbC9vS2rzZubmwgEAnL7H7+pe4CVWyIiMmOwJSJ6gWZnZ3Hnzh28+eabGBgYwPLyMgzDwPnz52XwuXDhAn7xi18gm81iaGgIU1NTWFpaksF2Y2MDmqY9dZ1hIBCwhTxVVdHpdOTnRTgQ6zk7bftUYJ/fJ/eLHXQnEVL8qBvWELjY3pBVOhHums2mLeiZK5ji+Wo6APthLa3ITtOcewdiqaoKn697rubA6bTWVjyGaNV1uVyOW/34O/aBVebqbC/zUCsRwMRFAxFyeyvKIviK+4mQaz430T6uaZrcMkgMm9ptva9ZvV5HtVqVe98qiiJblkVVeHh0CJMH91nu98naLfxu+TPHx/y+ZxrZTBYej8ey/ZC4eGAedNVutzH3cB5nztkvxvQPpZHL5tFuteH3+zEwMICtrW7QDQaDqNVq2NnZQSaTgdfrRSwWQ71et+0pLV7/TqcjB3KJ9nW/349WqwWPx4OhoSHLIDK3243EUAwej/PQrka1iUa55fj97nQ6cnhXtVpFxpPDXGjFdru30q/jZPwostks1tfXcfToUZTLZeTzedmWnkqlMDAwgP7+fsv5ERHRs2GwJSJ6ilqthl//+tf40Y9+hGQyiUwmgw8++AB//ud//lxvQNfW1tBqtfD9738fqVQKAFAsFlGtVvHzn//ccltN02QlbHJyEnfu3EEul0NfXx+WlpYwPj7+1EAj3oibhxiJVlrR9iraR0XIau6yl63X60G12h0INe4ewEN11fL1rF5CsV1BWAnYQpv4WLQom/cDBoCOU6qFvRVZVDN723zNIVe0XT9pH1vAul7XMAxo0KB57JVed9MttxESREh2Cjq9Q63E7TVNk23B4nYi0JpDvsvlkutlzdVcczVYBGMxcOpJw6YMw0ClUpFrWMPhxxVTcRwACIWDmL5w2lrBVtv4v37yLxxfv1eix3EqdVi2HlcqFVQqFdny7jSZud3soFQsW9buiufcN5DEw7uzCIVCCAQCSCaTKBQKiEQiGB4ehq7rcjBWqVRCLpeD2+1GNBpFLBZDJBKxfD9EqO50Otjc3JTTlQGgUqkgEokgFoshHAlhYCgNxQ1ohr0VvbBTxNWL12EYBmKxmNx+yPwzLCrifX198BX8+G3lou1xPul8hsPB/YhEIigWi8jlcti/fz/Gx8e7gTiTQSaTwezsLAAgnU5jdHRUbif2VTEMA1evXsXa2hra7bb8Hbeb3t+Fu3kZU+CJiBhsiYieIhgM4k//9E//4G1GEokEisUiFhcXkUwmZdhLJpP4zne+Y7u9OF4gEMDw8DAWFxcRDoexubmJd95556nHE9VCMRnZ7XbLFlbzkCfg8d6w1WrN8bFcbrd8nAlXPx5i1XabLVcRJ/yT8tiapllCpxi8ZGYYBlq6Pdh6XG543Y//FyX2kRWP7XiOn7cYdzodS+txL1HBNYdP1ec8wMqvBuTjGoYBl8slw6k4L/Oa2t61tuI2IsSKUGwOrAAsLcsioD3L/UTbt3nYlN/vh9vthqZpKJVKUFUV4XB415/fYCiI0+dO2i4E/Ks7f421yrb99i4/fpJ6Tb5+YjJzu92WFeBarWYZfiWGVq0uriI2fdz2fRkcHsT8owWsra1ZBl1tbGxgcnJSrhkOh8Oydb5Wq6FWq6FYLEJRFBlWo9GobBXf3t5GuVxGMplEIpGQ55bP51GulPHK987D43N+K9Sqt1EvNDE1NSWD+/LyMgAgHA4jkUhYth9yu90YS49ioJVGpr1jeayF+jI+vnQR/X1pRKNRrK2tYWpqSp53JBLB/v370Wq1ZMi9ffs2bt68iXg8jpGREYyOjsrfG1+Wra0tLC0t4e23337iz4jQ+7vwi17kIyL6KjDYEhE9hWir/ENFIhFMT0/j/fffh6IoOHv2LBKJBFZXVxEIBGyVTLP9+/fjk08+QTAYRCQSQTqdfurxRKgVbay7tW0Cj6uhtZ71kkIsFkXt89B7UBvH37av2W6zpG7JYGuuoJrbgM3reeV5OgyPMldrAcD9+RY55nM3b9tjboE2b3Ek9A506uW0vhbo7mErvi+i6iqCnLnVubfNGYDj+lrzIClxvmKrJDHkyeVyWdqWewdQiWquaFkWFyUAWCYui9chFovtWt33+bw4OX3c9rO3Ucnin9/6S8f7fM93GkZDQ8ffkfcz75crJjOL5yNaqv1+P4LBILY2th0HSU2fP4PPPrmGRr0hh54BwOrqKoaGhmQ4VhRFVmTT6bTcC7harWJ9fb37ffu8WqtpGgYHBxGLdavE0WgU0WgUikvByNQgAiHnQVStRgs7GwUYhiGfVzqdlpOZK5UKNjY2sL6+Lqc4x+NxhEIh7A/uswVb1aVBSbtRKVfQaDSgKAo+/fRTjI6OYmBgQAZFv9+P8fFxjI+PQ1VV2YI9NzeH+/fvIxgMYnR0FCMjI+jv739iV8KzqFarCAQCz/T7BPjyfhfSV+vy5ctot9t48803X/apEL1QDLZE31C/+tWvcPjwYRw+fPhln8pzcarq9X79wYMHWFhYQLPZRCQSwfHjxzE+Pi6rB9/73vdw69YtVCoV9PX14dVXX0WhUMCNGzfQaDQwMjKC8+fPyzf7m5ubuH//PkqlEhRFQV9fH2ZmZmQL4LO23z2LaDSKt99+Gx988AEURcGpU6fw8OFDfPTRRzh58iSCwSDq9TrW1tZw9OhRObV2aGgIXq8X9+/fx4kTJ57pWGLtY+/rKYYRiWFOYtuZbmXSPnEYgCUAJF0RxFxhlHVrdXexvYmOr2OpborQBnTfFIvvr/mP2ra3gJrX13bv67ytjmBeV2vek9e8xlY8X3H/Tqcjw18jUnd83v6OtYJl3srHKVSYj2WeSNzbeiweC4AMh+ZtgcxVWfP9zNVcMf3YfDzxequqKm8rWs17z9ftduPE9HEEgvYq3X/36b9EW7NfIBjxpDETOCjX+ZqrxOYLD+b9csV2U61WC8ViEdeuXMeP+n9gq/CFwiHsm5xAZivbreR/Pnyq0WhgbW0NbrdbVm1DoZB8PqKlOplMQlVVFItFFAoF+biFQgHtdhvhcBiBQAButxsj+wfhd3jeAFAulvHZx9fh9/llm3PvZOZkMgld11GtVlGpVJDNZrG1tdV9zjHnsFwO1/DW2GtoNBp49OgRarUa7t69i7t37yKRSGBwcBADAwOyXVysBx4aGoKu6ygUCshkMlhfX8fc3By8Xi+Gh4cxOjoqfz88j8uXL2NpaQkA8LOf/QyhUAjnzp175t+FPp8PH3zwAQDgF7/4BYDusolXXnkFQPfn+ebNm1hcXITL5cL+/ftx8uTJ5zpHIqLnwWBLRF8brVYLd+7cwblz53a9zf3797G8vIxz584hEokgm83i008/tbTQ3b17F2fPnoXb7calS5dw6dIluFwuvPrqq1BVFR9//DFmZ2dx7NgxAN2gd/jwYcTjcaiqirt37+Ljjz/Gu++++6W2/QmxWAxvv/22rNy+8847uHXrFi5evIhOp4NgMIjBwUHLG1VFUTA5OYn79+9jcnLymY5jrhSK6qxYqymCkajsiaDYajrv5er3+eQEZcMwMK6kcRfWYFsyash3yoi7wpbgKarFYu/X3rWpTvvY9lZsFcUlB145ra01E6F6t2qWCH8iDBuGgbbPXjV2aS506h2oUC3nvNsetuZzM089Fi3E5iAtguqTqrmiKmseQCUGSZnXLptDsznUivbtVquFdrsNRenudyva0Y+dOoJINGx7Dh+vXsdHq9ftzw3A3+/7HuL+uGXdtnm/XFHdFOtrxXMV2xiJiyqz9+dw4sxx2zFGJ0aQ28lDUzXZwlypVFAulxEIBORkZ0VREAqFEIlEEA6H5UWqWq2GQqEAn8+HdDqNTqeDer2OcrmMQqEAv9+P82+e3TXUtpptbC9nEY/FUavVsLHR3doqGAzK9bzid43L5ZLTmg3DQL1eR6VSgVbW4Qq7oCvWCv5iYwVvJV9DMBjEwMAAtre3cf78eZRKJeTzeczOzuLhw4cIh8MYGBjA4OAg4vG4/HkS+/kePXoUlUoFmUwG29vbWFlZgaIoGBwclC3Lz1JVnZ6eRjgcxsLCAn74wx9CURTs7Ow88+/CYDCI119/HRcvXsSPf/xj2/7Uy8vLOHz4MH7wgx8gl8vh8uXLSKfTGBqyV+vpq/Oki8FAt1vn2rVr2N7ehqqqCAaDOHbsGKamphxbzQuFAv72b/8WP/3pTxEOh1Gr1XDt2jXs7OxA13WEw2GcOXMGw8PDL/Np07cUgy0RfWXEXqbPIpfL4eLFi08clKJpGu7fv4+33npLts5FIhHs7OxgYWEB+/fvBwCcPHlSfn1qagq3b9/GT37yE/nYY2NjyGazMtiOjY1ZjnPhwgX88pe/RLlcRjwef74nvYveNbGxWAx/7+/9Pfmx0xrbXo1GA8PDw8/VCigClQiF5hZXs8eDigy0mi34A9Y3/r6A3zJheZ9nEHe1ZdvxNpQ8+n1J+ZhiWFXvml7zcdsOa2ydKra7ra0VxHFEa+6T1tiaK68AoPrt4drX9sHtclueh6gkWs/NuneteRhUbwuxCLmiuurUemx+LuLNpLkqK9ayiscW1fZ6vS6Hc4nwZR5AJc692Wxi5sIZJPsStufcUtv4v1z8546v7yuR4xjzD8jzM++XK0KuGGgFQJ6HWPMLdH/+gsEgSsUyatU6wpGQ5RgerwfpwT4sz6/A5/PB5XIhEomg3W6jXq9jdHQUAGTFeHu7uwY4EAjIKdeRSASpVEpeXAiFQnIN8NSxfYjGnX/HtJsdbC5uweVyy/WzqqqiXq+jVqshm80ik8nA5/PJtbyiI0JRFFlNHhwcxO2dWayo65bH32huYS2zjoFEP1KpFDY3N1EqlTA4OIjBwUFomiYHS62trWFxcRE+n09Wcvv6+uTPmAjUBw92q+eZTAbZbBbXr1/HtWvXkEwmMTY2hrGxMUSjUcfn6/P55EUn8TvleX4XikFnAGwVewCIx+OyuyQajWJubg6ZTIbB9gV70sXggYEB3LlzB+VyGd/97nfh9/tRrVYt3S1Pc+3aNei6jnfeeQcejwflcvmZJrUTfRX4k0e0R73//vvyjcby8jIURcGBAwdw8uRJxzfzDx8+xNLSEqrVKnw+H0ZGRnD69Gl4vV6oqoq//Mu/xIULFyxbyKyvr+OTTz7Bn/3Zn8Hr9aJer+PGjRvY3t6GoihIp9OYmZmRrXNiXU8qlcLc3Bzcbjd++tOfPvF5GIaBubk53LhxA/F4/Il7s4r/4X744YeWz+u6jkQiIT82vwETrYfmwBwIBJDP5+XHlUoFd+7cQT6ft4SWer3+pQXbP0S73UapVMLKygreeOONZ76fqKSZpyD3/myIdl0RfIBugO4NtqFQyLJOd78+AjgsS11St3DGfwCAdTCV+e+9AbVl2INtb8XW9XmAE5z2sRWB1bx2WDAHWfPtFEWBrujoeBy2OVIf7/8rAqJ4DXuPK0KnmQiq5osITnvYOlVze6cl7zZIyhxagW6YFGtwe6u54ngHDu/H2MSo/ZsH4H+8+nNs13O2z4ddAbwbf8XxPuZzDoVCskps3grH4/HIkOvxeAADWJpbwolpe9V2fN8Y5h7OIZ/Py6ptPB7Hzs4Otre3MTIyIoOdCJ6lUkm+/s1mE6VSSd5XfO8PnTyAcCxkOx4A1Kt13LpyF15Pt31afN89Ho88lnkyc6FQwM7ODtxutwy54XBYBs8DoX1YKVuDraEAN7fvYHitH6FQCD6fDxsbGxgYGJAXKURV1jAMlMtl5HI5ZLNZrK6uwu12o7+/X24JJP49hEIhTE5OYnJyEu12W75O9+7dw+rqKt59991dv2+9vszfhb23FxV3enGedjF4YGAA9XodiURCTuo3T05/FvV6HWNjY/L/wV/lFG+ip2GwJdrDlpaWMDU1hR/84AcoFAr47LPPEAqFcODAAdttFUWRIbRareLatWu4desWzp07B4/Hg4mJCbmNjLC4uIixsTF4vV7ouo4PP/wQfX19eOedd+ByuXDv3j18+OGHePfdd+Wbd7HX5FtvvfXU8+90Ovjss8+wurqKffv24ciRI0+80isqhm+++aataul2u+X2OL2trk7bsph99NFHCIVCOH/+vNx387333ntqhfBF+fjjj5HP57F///7nrnaYq2WCefCQqGyaJ/m2Wva23EAwYAnFUVcIfa4YcnrZcrsldVsOogIeVx5FxVO8puZW4g6c1thag/XT9rEVxOOL4Gge7iSCj5gkLD5u+VvdPtse5j1sn3QuZiI8mtfKAo+3/9ktrAKPh1OJsGq+X++0ZPF5TdNkG7D5Y/NtzC3Lk/sncPDIfsdzn8+s4F/f+43j1/448SpCbue1o06vjxjuJKZUiwFPtVoNLperu/1Pu41cNo++/pTl/oqiYOb8DD775Kpl+JTX60Wn08HOzg76+/sBdL/flUoFAOQb82aziUqlglKpBLfbjVAohFPnT+waatutNh7emkOz0USxWUQ2m0UgEJCtzmIbJZfLZZvMLIJ7oVCQ1eVoNIqxgHMbppo2MOoaRblcRqPRQLvdxmeffYZ0Oo1UKoVYLCa/V/F4HPF4HFNTU6jX68jn88jlctja2oKiKHLf24GBAfn7UFy0HBkZsWwZ9qy+zN+FT/u9S1+9Z7kYfODAAVy8eBHFYhGDg4MYHR195mFiAHDo0CFcvXoVW1tbGBwctIRcoheNwZZoDwuFQpienpataaVSCbOzs47B1jxEKhwO4+TJk7h69apczzo1NYV//+//PRqNBoLBIJrNJjY3N2VAXV1dhWEYOH/+vHxjfuHCBfziF79ANpuVgcvj8eD8+fPP1IJ8+fJlbG1tYXp6Wt5fVJ6cxGIx2XI5MDBg+/rzvokDIPfgPH/+vHyznM1mn/txvkrPsrWPE5/PZ/k+iEqmea2qCIDiYwBoNuxVlUDAL0ObXGfr6rcF27rRxI5eQtoVd1wL6zTgpv0sFVuX8kxrbEU1tXsf+xtr8RzM1duOz3kfXVfdJUO6OJZTe3Xv8c0XZ0TINQdpETrNYRWw730r1teaW4/N62tFYBQDnMznZ94aSDz28OgQDh8/5Phc2+0O/ulv/59QHS4yjHn6cdp/4KmD3Rxfw89DrN/vlz9/YkugRqOBq5ev4Yd//H243NbvVbIvgfF9Y8jvFCxDuIDuOtpWqwW/3y8nQKfTafm6i0Am7nP41EHEUzHbuQFAp61i5dE6Av4AAoMBaJqGZrOJer2OYrGIfD4Pj8cj1/KaW49FeBdtziK4l8tlGDAQTAbQUKz/lpbb63h34C25hnV2dhYulwvb29tYX1+Hx+NBX18fUqkUEomEvBAiAvX4+DharZYMuQ8ePMD9+/cRi8XkutxIJCJ/xp5n2N0X+V1o/ndEXz9PuxgMAMPDw/jpT3+Kra0tbG1t4Xe/+x0OHDgg31v06v1eiwuuGxsb2N7exoMHD3DmzBkcOuT8u4boq8RgS7SHpVIpy/94+vr68PDhQ8er69vb27h//z4qlYocICTe+Io3U7FYDEtLSzh27BiWl5cRDoflG5xisYhqtYqf//znlsftrQrE4/FnXldrGAZee+012brU6XSwuLiI8+fPO97e6/XiyJEjuHHjBgDI4TA7OztyLd3zEhNVFxYWEAgEUK/Xcfv27ed+nK8zUTkUPxfmSp74urmyWa/ZJwQrigK3x21p8d3nHsQNdd5223XkMOztXvE3b8vjRNd1dByGRwW91jdhYqKyeMzdiMqaruuOa2zFfc0/o1rQeT2ZX30cFkWoM68z7j2m+K9TWHWaXvy0aq75IoBTy7K4nQi14uPeAVSapiGRjOP0WedlCrqu43/63S/xqGnfm1iBgh8GzqJRr6NpCta9ofxZiDXDYi2mCLlzs/M4fNT+JnjywD4U8kW40a26hkIhuQ7V/PoBj7etEUOrxOty+NRBJPqcW2jbrTbu33gEF1wyFJsnL4uhXY1Gd/uhYrFom8wsvu8ivKdSKaiqimq1ioF2H5Y91nbkil5FTi0g7U3B4/EgHo+jWq3i5MmTsqW6VCphe3sbLpcLiURCBl3x8+D3+zE8PIzh4WGoqopCoYBcLofFxUXMzc3J4VSDg4Po6+t75u/PF/ldKH7nbm5uYmhoSP6s09fD0y4GC4FAQLazz8/P4+bNm5ienpZr9RuNhmV4VK9QKISDBw/i4MGDuHXrFhYWFhhs6aVgsCX6FqjVavj973+PAwcO4NSpU/D5fMhms/jss88sIXj//v2Ym5vDsWPHsLS0hMnJSflGWFVVJJNJxyFH5onEz7Ov4qlTp+Tjl8tl3Lhx46mDkU6ePAm/34/79++jVqvB6/UimUzi2LFjX6hqoCgKXnvtNVy/fh3vvfceotEoZmZm5DYWe5mYCCv0rtsURAASgcl8H7NIJAJNfRwCJ91Djutsl9VtnPcfAQBLMARgWQ8KAKqhQYf9+xb02luRzetdzedtfrzdtvcRj2G+nXgd2l5767WiK/AZPige63685q15zHvZOh3L3AYsXove1uPeaq55kJT5+2RuSTavUzQMw9Z63DuAKhKN4Pxr53b9t/nZZ9fxbzZ+6/i174SP4UBsXLZWi3AtzknskbzboK4nEcOnsps72Dc5YVvXHQgGkB7ow9b6tjx38XMg1m3HYjG5LVCtVpOBNhgM4tCJA7uG2k67g+uf3EJ+Jy/PRVRkza3HIlCLCnCj0ZBTlhWlO5lZBF3zutxEIoFj7UNYrq7bjv3Z2nWcCRxHLBZDIpFAoVBApVJBPB5HJBLB6Ogoms0misWi7MIBuiFFrMENBALyWP39/ejv74eu6yiVSsjlctjc3MTy8jJSqRR++MMfPtP344v8LgyFQjhx4gRu3bqFy5cvW7b7oZfvaReDJycncefOHSSTSbmOfGNjQ+77HIlEEAqFcPfuXZw6dQqVSgWPHj2yHOP69esYHh5GJBJBp9NBJpOR9yd60RhsifYw8wAkoDtZOBqN2iop4gqrubVoddVendm3bx9u3bqFR48eoVwuW7aVSSQSWF1dRSAQ+NKuyLvdbui6jrW1Ndy7dw/BYPCp++4qivLE/Xn/4i/+wvLx1NQUpqamLJ87efKkZT/FwcFB/PEf//GujxMOhy0fDwwM2I7zdSRabnsHGAHWabkiAIlqY6ft3JobDAVRKpYef+zyY8idwpZm/TlcUTNotVtwKdbKpQiBZh3FuVoa8vRu9/O4FdgcFJ2Yh0OZg695srH5gk7La0/nvrYPisPC295j976uog1Y/BG37a3IivuKCpe5fdhpWyCxftY8cdi8d+9ua3qDoSDOvnIGPp/zv9kHdx/h38z9LUo9exIDQEjx463gGcv5i+donuos9ukVA8qchpQ9iaZpWJxfxtET9n/TUwcmMf9oHp2OCp/Ph06nA03TEAwG5RpV8SbaPJV5/7EppAac23A1VcPSgxUE/UEMDQ3JSdHlchnFYlHu/xwKhWQ1XATmQCCAZDIpLxo1Gg1kMhkA3RbocDgs970d8wxDgQKj58JN3l+SW/yI13VjY8PyuzsQCMg9bDudDkqlEorFIpaWlrC4uIhQKCRDbjgclv9+E4mEDOHtdvupa2N7f5c+7+9CADhx4oRtb22n5RNvvvnmE8+FvjxidgLw5IvBQPdi0e3bt1Gr1WRb/6uvviq/9uqrr+Lq1av4m7/5GySTSZw8eRKXLl2yHOvatWuo1+vwer0YGhrC9PT0C3/ORACDLdGeJqYU79+/H8ViEXNzczhz5oztdpFIBLquY3Z2FiMjI9jZ2cH8vL2F1OfzYXR0FLdu3cLg4KCltXffvn14+PAhPvroI5w8eRLBYBD1eh1ra2s4evToF2oD1nUdd+7cwdraGgYHB7F//35ZiaA/nLntUxDVQXPoEm+AxH8bDmtsAcAf8NumGo8raWzBGmxb6GBbL2LYnbIEUqeqnqY7Hyvotf8ciED1pDW2Zk5hXoRb+bGhQ/Xag7yn5bW1/JqHYInP9TK3IpuHVvWGzt59dsX9eqce97bcAo9DrTgHczXXXEFWFAXT508jGHLuglhZWsONubv4tPXA8evvBGagdICG3pB735rP1Wmys1iTLAK7qOY+TWYzg5GxIcTi1kqPx+vB6bOnce3ydTlECuj+LIg1tl6vF4FAQP68Hzt9BAOj/Y7H0VQNs3cW0G4+Pk9RlRXrmcUa20qlIgdhhUIhBINB+Vy8Xq8c7qSqqlwznMvlsLOzA5/P113K4Ukho1unTGeVPMb2jUNrq3JNrvhdLqq48XhcXkD0er1Ip9NIp9PQNA3lchmlUgkbGxtYXV2Fz+dDPB6HruuyTTsYDGJ0dBQjIyNPfe3pm6fVasklPk+7GHz8+HEcP26fTi6k02n80R/9keVz5iGTZ8+e/RLOmOjLwWBLtIft27cPmqbht7/9LRRFwaFDh+RermaJRAJnzpzBgwcPcPv2bfT39+PUqVO4fPmy7bZTU1NYWVmxVTk9Hg/eeecd3Lp1CxcvXkSn00EwGMTg4OAXruDevn0bm5ubOHToEAYHBwFwCMlXwVydFcxtsiIMide+tssQLr/fZ6sATbgHcUV9ZLvtOnYw7hmQxzevUzVrOexhC9iHRwGPpxk/ad2uOfCKdbaCeUiWbLH3qrtORDYPogJgqcI6HbN3fe1u613NQdCpmtt7v06nYzmuqOj2rpUW9wO6YejsK9NIJJ1bcbc2t3H/9gP8u8qn0GF/TuOeAZzydX8HiHAtwnPvhGbxOb/fb2lZbjabaDabMrCLQL7bxYj5hwuYeWXa9vmRsWHMPphFpVyV25OZt6Ipl8vQdR3BYBBjUyNPDLVXPrqKQq5blRUty2IbK5fLJauyYiCUeA61WreibQ655tbjaDSKaDQq1+WKduWoL4RMyBpsVWjY0jIYD4zIrYyWlpYQDofR6XSwvNzdHzocDsv9dMUFPzEQKplMQlVVbG5uIp/PI5PJWKYpi5kJ3E/020Vs95TJZByHSBJ90/E3HtEe5nK5MDMzIycbm/3Jn/yJ5eMjR47gyJEjls+ZW40FMSTC6Up/MBh0XGMrPO/aKlVVcfr0aXllWdM0rK+vP3HIBT0bESxE66ZgDiXBYFCGkd72XK2jweO1/i8imUjatoGIG0ncq2/YwpHi8iERTACALRya5etVwGFJb9BjD7Zer8cWwnsDrviaaN01P3enCcodn319LQD41cfbJInHFBcCdttDVzw3UY01H88cfsVj7rYtkLi/aCkVjymqub0B2XxMcY4nzhxDesB5cFBuJ48rF6/ifnsZC50N29cVKPhp7FX4P99ySVwUcZrQ3BvKXS6X7BIwX1AxV3NFyO0dQFUpV7G9sY3BkUHbOZ05exrXr9wEAPn4qqqi3W7L/XKHxgcxNG6/L9D9uZu/vwiPyyvX5YqtekRVtnf4lBgIZa7KNptN5HLdoOr3+2W1V1zc612XqzeAed2+7GOutoiR6KC8WCBC7YEDB+TwqUqlgo2NDayvryMQCMhKrq7r2NnZQbFYhK7riEajiMfj8Pl88n6Li4tQFAWjo6OW6hp9s125cgX5fB5HjhxhtZ6+lRhsiQhA901is9nEgwcPcODAgecaAvVFHT58WAaTer2OBw8efKNakT/77DPk8/ld11gCkJU7EVjmKuv4H+f+2nKbo4OT+B/+o/8D4FDpenjvIXLZbiuwCH2KoqDRaMgqk1PQCgaD+KM/+qPn+j6Pj05gfHTC9vmf4I8dbv1sVE3FX/6bT7Bd27F8freKLbD7HraCuTK7W/AVmm7nVmhvy76H7dPan0X7sLmy2ztAyvxY5mFY5jW25gFN4jF6B0KJ18JpTe+xk0cxOu78prZareHmZ7dheID3Kzccb3MhcASDnsd7y4rnIMKteZp27yCp3gqyqOb2tleLtmLR0izuuzi3jPRAGm6P9ecykUpgcGQQ2xvb8nPisVVVxeDYAA4dd65Q6bqO+XuLqBSrlrWyohouhkKZq7LiNuK5mKuyomIsBjwVCgU5lV1cLBLfp7HgCHw1L9qwdiYst9exuLgo1+WGQiFkMhk0Gg2EQiFZldU0DbVaTU5K3trakhduYrEY+vv7LcP7QqEQBgYG0G63UalUbBen6JvtjTfeeNmnQPRS8TceEQGA3A+xv78fR48efSHH9Hg86HQ6yGazmJ2dhc/nw759+17IsV+EfD6Pcrksp6wKYo/SdrttqQR6PB7EjSCur963PM711fv4X77yY3z/qL1aPjE1juXFZXQ6qmzTFW24u4UqEU5exMWLp/G4PUgEorZgG/T4bbdVTFv+yM85hExz9dC8ntbcCi0+bjvsYavoCpSWAtW0DZHYQuhJ4Va0IjsFVXFxw2m9ae9wpt5Ks/jY6fvZu6Z3fN8YDh87aDsGALSaLVz95Do6nQ5+37iNitGw3SasBPCq+xjq9bo8nhgGJaYRi6FkonIqwry5umzep1e8XuI5+nw++W/AvEetuCCzMLeIQ0ftz+HAoSnsbO/YJlCP7x/D1GHn3xu6ruP6pzexs5WD3++3DL8zbz8UjUZlVVls8QN0q8Mi6Jpbj0WVVTzvZrOJSqWCUqnUHdplGj416h7Comat2lY9dfgTAegN3bJX7ObmJsbGxuRrVC6XUSgUUKvVZGXZ5XKh1WqhVCqhUqkgEokgGo0iEok83ss3FMToxAjiCedWdCKibyIGW6I9ymnq5B+id1Lwi6DrOubn57G5uYlkMomJiYlvVMVWrDsURCunue1UVLNE+Il4gxgL92OtlrU81n/9y/8bPj7yii1QBYIB7D+8H3du3JWfc9pqxtz6uheEvPaBRy6XPUw+bU32bsFXrrH124Ott+N1nIj8pNdOBMzeECdedxHkxG13W2tq3m9YhJTekOx0PAAYHB7AyWnnITBqR8XFDz9FpVxBAVV82rjneLsfhc8j6gvbqsfm5+T1emWl0+fzWbZAEj9jTpOdzdOSxRRlMYDK3JL96P4sRsaGEY6ELefmD/ixb/8EFmYX5eeGxgZ2DbWGYWD+3iLq5QY8Ho8c8ARAth2bLzqJ8wmHw5bALfaWFUOqxPpaUTkPBoMIBoOydVysy61WuxXieDQC2BsAUApWcTi2H5qmodFooFQqodFoYHZ2VrbSG4YhZxmYpyaLNcC1Wk0OoAK6+4gfPnYIQyOD3Z8Px1eGiOibicGWiF6axcVFbG1tYWxsDP39/c+1RcheYG41bbVaMtiI1ksZrj7/vAgSByMjtmB7c/0Rio0ykiF7BWb/wSmsLa+jWqla1oCKgNS7zY4IGV9nvfvYAnCsdj7Nk4KvAQNthzW2vrbPUs0Wj9G75na3wVLmQVLmlmOnVmXzz4G5/dg8kK13q53e1mMA6Ovvw/T5047/hnRdx7XLN1Cr1qDrOt5rXnHcO3ifdxAn/VPy/J80oVmcT7vdtmzxs1t7tWjfFY9rvvAiQrN5SNWDu49w7jsztnMc3zeG9dUNtJotDIz0Y//RKdttxPEX7i8iny1YpoOLqqwIoEC3KivW04qfMfO0ZE3T5H0qlQoqlQrcbrdsVza3HpvbnEXLdaepOgbbVW0Th7375WO1220ZUM3TtzudDprNpjwn8bqJc06lUtA0DbFEFKPjI/DusrUTEdE33df7nQ0RfaOVy2UcOHBA7kOp6zo2Nze/UcNOdF1Ho9GAYRjw+XyOgVIEFBFsDsXH8cH2Tdvtfj93DX9y6i3L/rBAN0idPnsKlz78RH7O3JIs/v6kibRfN09aY/usetu/ez/X8bQdJyL72g4pxHRfp9dQBLne4U4A5Ovu1Krcu5XP01rEnbYTCoWCeOW1c7ve7/b1u8jtdPdMfaCuYEXL2B8XCn7oOytbnneb0GzeTkj8XIlA6vM9viDQW+E1h1wxRMp8G9HJIEJoIVdAbiePvnTKep5uF6YOTmJjYwMHjjmHWgB4ePsRSrmK7fO9VVkxDEsEVjEt2e9/PDxMtBaLqqwIufV6HbVaTQZasb5WBE9xrBhiiLXuogzrtPHV9gYylQw09fH+xOL1GB4eBgC5/ldMWRYV4nA4jHA4DI/Hg0QqgYGhNAMtEX3rMdgS0Uu1vb0tKzgLCwuO27TsRWLoS71eh6IoCAaDtqDV6XQsFTDx51jSubXyytId/PjkG1DgtYWrZCqB8X1jWJh73KZprob1HvtpLcmGYeDq1atYW1tDu92G1+vF5OQkZma6VbRf/epXT9wb8Q/lNBUZn/9sdP/65AFSvZwqt07rawHA2/E53v5J63vNW+30VszNa0JFMBXf6972cPNk5ac9P0VREAwF8dr3vgOf3zmM37v9AKvLa3C5XGijg7+rX3O83XnfEaSUqKUqK9bIOm0nZG6hF+fcarVgGIZlSyDzemenKrCo5or7ibXMLpcLj+7N4tXv2tvvB0b6kRyM7/r6PLo7h8XZZYTDYctSgF7mwGqe+CymJYtKqrnd2lwpBSBDbrvdlm3Ofr9fhlxxIWvUPYSyNmc5ftvVwVYzg5gWkYFVURRUq1VomiZDdiAQQDKZRKfTQb1eR6PRQCaTwcjoMA4cPY5IT8u2mYHHF7mIiL7pGGyJ6KUZHBzE4uIiHjx4ICtaExMTco2ZYRjIZrOoVCoIh8NIJpPyDZrYr0/Xdcs+j4ZhyC0vfD6f3EqoWCwiFAqhXq+j73gM3qD1159a13F9/gFcAx78h4f/nuP5bm1msLKwYqlSCT6fz7p1SaWCcrksh+WI8xZvoHun5prD/Fi4H0G3Hw2tBbPLS911tDp0uGGvzh05cRhrq+tot9qOrbTA47bnpwXbra0tLC0t4e2330Y4HLaEmq+aAufhUb170j6pzdhccdztdk5tyADgbT1b5Wu3oOu0tY95SyWn195cEXWaquzE7XHjwmtnEQqHHL++OL+M2QfdMKVpGj5o3UDVYWBUVAnhe+Ez8CneXavJTuu2ndqsxb+N3mnJvetrza3M4nHExR5xm06ng9WlVUxMPZ7ErRkaVL2za1B7eGcW60sbcLvdqNVq8qLZ0zjtYWtewyqqsmJdrmBucxbt1q1WC8ViEUC3QhwMBjHoS+M+5mzHrcVbmNDHZGVWfN+3t7eRTCYtlWOv14t4PI7RsREMjw0jEt090AqGoSObz6CUL8s27Hq9jmazKb+/ouU6FArt2lHSaDQQS0WQHurD7zc+Qrldkl9P+pP4o4mfPPVciIi+agy2RPRS6LqOQCCAyclJzM/Py+pNsViE1+uFpmlYXV1Fq9VCf38/gsEgms0mDMNAqVRCNpuFz+dDf3+/rI6qqoqdnR00m01Eo1F5H1VVUSwWkcvluhWXigu+nm0wdLeOeD6ED1tXkfDH8O6+t2znPDCcRmZrG9ubGfnmXbQYmwfoiDeoohVRcBqoI4KXuY1VVVUcjI7gdnHRcvxry/ehaio8bsAFe0XP5/Ph1JkTuHnttvyc0z6rwNPbeqvVKgKBgG3f2hfBp9gr0gDgdrueGFTNnFqxzZORFUVBx+sQbI3u8Cjz4wDO7cdOx3S6bW81t3fNMwDL5GTg8bro3qnK5nB49sL0rlNvtza2cf/2AzmcabuTx9XOrONtfxA6C7/yuCL5tDW95gnP4udIBF4xMVm0XIv15WJ9rQi6Ypqwy+WSa1TNr48I1vduP8DQyBB8fh/0z0PtbhYfLWN9acMyYKtSqchJyM9SBRfPT1RlzRPMzcOnxNfN526eliyGTzUajW4LMQwofQoMxfp933bt4IznmGUyc6VSQafTQSaTkYE6FAqhL53C+L4xxBKxpz4HANjJ5rC1vg0Y1p9Jcd4iuOdyOayvrwPobnUUi8UQjUYt1W632w2vzwvd0NDSGsg2s7bj7abT6eDq1atYX1+H1+vFkSNHsLGxgUQigZmZGfzsZz/DG2+8gdHRUXmfn//855iensbU1BRqtRp+/etf4/XXX8fs7Czy+TwikQjOnTv3Un4/fd1Vq1VcvnwZiUQChw4dgqIouLp+D//N3/0zx9v/t3/0n+P00GFsbW1hYWEBr7/+urwgTLTXMNgSEQDg008/hdvt7m71owAun33bVMMA9Jb5YwN3795FuVZGZbiB2cb8E4/hMlzY1x7FTPqMfMO7trYGXdcxOjqKRqOBYrGIYrEot8EZGxuT1Vhd15HJZFAulxGNRpFMJuUb62aziWw2C8Mw0NfXZ6vgApB7PxoOecbldiESC+NC+xT+av5vcTi5H5Mx+1rfoyePYCebQ6PRgNvtlhVYcR6NRkO+Ge2dYCre9Hu9zsFNrFsEgMPxcVuwrXeauLu5gDNjh6EZKjyKvbI4tm8MqyvryGVzji2wT9quRrh8+TKWlpYAAD/72c8QCoUQDoflG1En7XYbN2/exMZGN1ikUilMT08jkUjsepzd+FzOFVNzS+xuzIHRHGh7b9Pd6sf+g+Bte7v9m39A56b5eLutxzV/XXws2lcF8161Zi6XC4ePHcLA4IDj8SulMpbmVuRrbxgGLjYe4kjAviZ12J3CBd9x28Cr3Z6XU8VZ3M/88y7CuLmi22g0ZGgTz723mtq7ptcwDMw+mMOx00fQeUKoXZlfw9riumXSsmj1N28n5PF4bMPbnsS8VjYcDsuQK1qQAchpyWKNsRgaJS7EuVwuBN1epLQ4cp6i5fGzRh4dowPv5/+WvV4votEoCoUCksmkHCI1dWgS4xNjTz1fACiXKph9MIvNjS05jEv8Gw6FQvI1F9XmZDIJVVVldTqTyWB7ext+v1/u3RsMBuW/iaDHuUNgNzdu3MDOzg7efPNNBAIB3LlzB4VC4bl/N9y+fRtnzpxBNBrF7du38cknn+AnP/nJnl+28mVSVRUfffQRNE3D9PR090Jru4l/8pf/LVaKm7bb/4MTP8TJgYNQVRX3799HX18fQy3taQy2RAQASCQSuH37Nvbv399tC9QAV+9vCAUwXIChdt+83rp1C1tbWzh58iTi8TiGfYP4q82/RkWvOh4DAFawitnsIt4Ov4HadhW1Wg0jIyOyDdDj8WBra8sSWH0+H1RVxebmJjqdDtLptPyfr2EYqFQqyOfz8Hq9SKVS8s20qqrI5/PodDpyPZ2iKNCazhU/V0BBqhXHRGsI/+Pd/xn/uwv/mW2tp8frwZlzp3Dl4lVZlRJTSw3DsLUeiwou8LiiI4iqlLkNWVTCjiQmgGX7OV5evIMzY4dhwIBuaHAp9jbLk2eO4/2/+d3jb5tDkH1S1XN6ehrhcBgLCwv44Q9/CEVRcOnSpV1vDwCXLl2C2+3Gd7/7XXi9XszPz+ODDz7Aj3/84yeuc3TidwjswLMNj3IKK05tyQYMdBzW2HrbXlubs6j8ml/HZ12zaBgGQqGQrP7ttkY4EAjgjTfe+FLavYN9YXz/+8OWz/0IP/qDH/cPpWkafv3rX8s9WYHHXQzmVufeCzDVahVtrb3ra748v4rFh0u2Nmnx77DVasnKam+btAi5z/q6i3/D5mnJYvhUL1EZFf/mxzCEHIqW2xiKgYeleYwrw/L24px0Q8eJ08fRP5h+pp/9Rr2BjbUtlItluBQ3RkZGZKW5Xq+jUqnI9f6RSEQOnxLPKx6PIx6PQ9d1ORirUChgZ2cHHo8Hp6MnEE2EEXqOYNvpdLC8vIzvfOc7GBwcBABcuHABf/VXf/XMjyEcOXIEIyMjAIATJ07gvffeQ7ValcMHv+3EXIRarYZXX31Vfm//2Sf/s2Oojfkj+K/e+U8AdPdPbjQaOH7cebswor2CwZaIAADj4+O4efNmdyjJyAiMDhx/QyjebrCdm5vDxsYGjhw5gni82w6Z1lM4s30Ma8ktLHlWdz3WlrqNf1P8BSZao5juP4VQqPtGqdlsYnt7G4FAAH19fSiXy8jlcigUCrLaOTQ0JNe06bqOnZ0d1Ot1hMNhxGIxSyAuFAowDAOJRAKVSkUGlkapgRDs4cnlV1Cv13FQG8dH3uv4Vw9/gX984j+03S7Zl8ShYwcx/3ABACwTYs2hVlR3AOsaXBGGzesogcfbxADAoZhzdebD+5/hP/nuP+ge19CgOLQkR2NRHDxyAPOPFp4r0AqitVq8CX6abDaLfD6PP/uzP5PPZXp6GhsbG1hbW8OBAwee+hhmXsX5f029b+6fpU24t2IrvzceFYbL/lp4HSYiyzC8y7pe8/etVygUwo9//OMXtj7560xc9Gm327bWbLH3rSAGSSVScZw8f3zX77ELLmyubMl/Z+bhXKLaKqq2kUgEfr9fXlDSNE1u+SMGW/WuB37a8/F4PPKxeon1w+L5DGEAN/HAdrtioIKhalpWgIPBII6eOIKpA5PPtC1XvVbHw/uzyGVzCAaDslvE3FKdSCSgqqpl+BTQvaASDocRiUTk71WXy4VIJIJIJCIvzImlHgAQ8jz9d4JQq3W3mEqlHk+3Fm3Xz8tc4RW/l8RrtptsNotUKvWt+Pe3uLiI5eVlnDp1Sr6+87lV/N8/+deOt//fvv2PkQ4nu1tjLSxgeHj4C3XYEH2dMNgSEYDuG/C+vj5sbW11r4obgKEBvQVBRQGKlQLm5uYwOTmJgYFuO2Sz2cSdO3cQCUTwZ+M/wXpnE39beB9lzV7JAABN0bEYX0Xd1cQb+ncQ1kPY2NiA1+tFOp2G2+2WrXhisrCYIiuCYSaTgaZpSCaTMhyL1uNyuSyrEOYBTbVaDZquIWVE7aHP033saDCKGe04Lm5fx7HUQbw2fN52/pMH9mEnk8PmevdKuHgD3W634fP5ZBtkb+uxaF0G7PuTitCkaRr88GA0mMZ6Y8dy3M+W71k+1g0NbocgeOT4YWyub6FRbzi24n6ZisUiVFXFL3/5S8vnNU2TbeDPw7fL/5qUzyvkvXZr/X3S83Sq1gLdrX52q/ruFmxF661grhyat8Ah63ZFgLX1WKy9Fa9nMBzEqQsndw13LsUNj+LByekT+OzSVcvaXFVV5QUHsWa/VqshGo3C5XLJECeOJSq54t+muWW596KFrutoNptyCrQIkOLilXldbrPZlOHZ6/PCH/WhpVhb4He8BSQSMwAMDA4PYv/BqV2nXJupHRXrqxtYWV5Fo96Q++yKCcvij3mSdSwWQywWg6qqaDabaDQayOfzyOVy8Hq9iEQiCIVCsrtFURQ5WCryeVgKeZ+vFflZ9P67chqw9rS2fifXr19HtVrF0NAQRkdHMTw8bBn+9U1RKBRw7do1jI+Py7XKhmHgv/7b/x4dXbXdfmb4KP4XZ7oDv7a3t2WVl2ivY7AlImlsbAy3b99Gp9Pp7j3ZAZzekwcjfgwNDWFsrFtVVFUVd+7cgcvlwoEDB+ByuTDuH8U7nTdwuXENm2H7vpnCtp7FL+t/jf21CQxjAP39/fKNWKFQQLVaRTweh8/nQ7Vaxc7Ojtz30uPxoL+/Xw5o0jQNhUIBrVYLwWDQVhUQFZRgIAi9ZcAd6Bm+FOmulVMUBSP6AMa0Qfzs0V9hf2wfBsP9ltsqioJTMyeQ38nLj8Uk191ajzVNk1Upp3W25qmwAHAoPmYLtpu1HB4uLeDI5H4A3QnJLkOH0rO3rdvtxskzJ3D54pVdX/svi6qqCAQCePvtt21f+yJvIn27VGzdz9CO6RTiRSg1v96dXSYi+9q7T0TebW1yb+B12r6HHhPrXXsHUJnX3MYSMcy8ehq+XfZmdSkueJRuZbUvncLA0ACy21nbdGkxfEt8vl6vIxgMWo4p/p2atyES62SBx9VcAHKtPND9N+y0N7V5XS7wuHOj0+4g1YpjM2AdvFRV6gikAzhz+BQCQYdtrnpomoat9W1sbWx3L4L5/PD7Hg+6EoG1d49d89Rjj8cjq7IiqItBV4VCAW63W1ZyxeslfvafpxU5HA7D5XKhUCggHA7L17BaraK/v/s71e/3y/APdCfKO1XAv4jp6Wmsr68jk8ng008/haIo6O/vx+joKEZGRuQ57WXtdhsXL15EJBLpzsj43C/vv4+Lyzdst3cpLvzTP/rP4VK6F2Hm5+cxMDCAvr6+F3jWRF8NBlsikkQ7cjab7VZtdeeqbSgcwrETR6G2uxXOe/fuod1u4+jRo/LNXCaTQT6Tx3eHX0Mj2sIH1Y92XXurQcNseBGFcAlxdwIxRFEul1EulxGLxeR62kQigUKhIFsZzROH2+028vk8NE1DPB6X6zoNw0Cz2ZQBQ7xJ05o63AFrUPKEHrcgqqqKI41JbMVy+B/u/iv8l+f/N/D2LDoOBAM4+51pXL98Ux5LBBxRgRI6nY5loI55DW6n07G0s4o2yiPxcXywdcP2ev3myu9lsAW6Lclu2EPX4PAAhkaGsLWx5fi6f1mSySSazSZcLteX8kbRu2vF9otPdOoNn45b/RiAV/U98+RleV6mwPu0bYgIlqqmIEKu2+1GMBzE9HdO71q1dMEFT8/k7CPHDyGXzcm10L0DqERgNXeA9O63a76fz+eTQ986nY4M44ZhyND6rC3L5gtco8YQNmGfKNzsU58aanVdx9LCMh7ce4h2qy3bjv1+v3wO4tyi0agMuc1mE/l8Hvl8Xu6xGwqF5MU1l8slq7JiqJ9Yl1sul+XX+4YTAJ4v2Hq9Xuzbtw83b96Ez+eD3+/H3bt3LbcZGBjA3Nwc+vr65OyGL2sgVCgUwoEDB3DgwAE0m01kMhlkMhncuHED169fRyKRwOjoKEZHRxGP77438teVYRi4fPkyWq0WXn/9dXlhqNSs4v/42/+H433+1+f+Hk4MdpeHiO30zp0798LOmeirxGBLRJKtHRmArjpXbQNhHyqtOh4+fIhyuYxDhw7JScTFYhGrq6vo6+uTa6v+fvin+G3md1gP7h6ydpDHv+v8HY5rhxHNhxAJR2SoVVUVuVwOqqoiEonA7XajXq8jl8vB4/Gg1WrB7XZbhkfpuo5qtSqDI/B4naZa0+BLWH8FujwKFA/QqrehqipC7iBOdQ7hevU+fjH3G/yjw39iO+f+wX5MTI1j/tGCrDJ4PB5ZKXK5XHIdmLn1GIC8DfC4zc68pcvhuH0qMwBcW7mParmKSOzzAVowdt3b9uSZ48huZy0VEKftZv4Qg4OD6Ovrw8cff4zTp08jGo2i0Whgc3MTo6OjlvV1z2K3YOt2PX9Lb2+lVnBqRfZ0PIDWrYID9rZmc3jt/brwvKH428ZpKrd5WyOPz4Pp75yCP+AcanOZPFLJFLw93RahcAgj48NYmF207Lcr/oiqq7jI5fF4HLffEpVbMRRKfC9Fa7IIyOYtjMR9n2U7oWGl3/Hz9/OP8NbYa7veL7u9g5WlVTQbTQQDQbiU7u+Ver0OADKwmodVmauy4pybzSbK5TKKxaIcgiUCsnitxCA/87rcer3+eF6Aywe34oZmPFtVdXp6GlevXsXvf/97ud1PvV63rMe/fPky3n//fQQCAczMzKBQKDzTYz+NGBwIdNcTT0xMYGJiAp1OBzs7O9je3sbDhw9x9+5dhEIhGXLT6Wcb2PWyPXz4EBsbGzh79qxcjgMA/6cP/9/YqRdttx+KpPFfvPkfA4BcW9vX1yer50R7HYMtEVmMj4/j1q1bsh0ZGqBrBlxu6xs2t9eNfDGHbDaLqakp2fZbq9WwuLiIWCwmp2Dquo7N1U0c6kzhWOwIPlE/Q9WoOR5fg4bb7vuI98fwmve8nEgrqrHJZFJWar1eL0qlknzzIioXQDcIi4FRoVBIVkzl1jslBaFR+7Re3dNtQxRvVif1UaxqW3h/7WMcTR3EqfRR230OHTuIrc1tVMtVS5VWVVXLG2Pz8Kjer4nPi//quo5BXxIhtx91zTogZbayjqW5FZw8+3iCpW5ojnvbBkNBHDl+GHdv3bNthfNlURQF3/3ud3H79m1cuXIFrVZL7oErLnY8jy+zYiu2W7F8DgbajhORrWFqt215dvs6YG89fhEVoMXFRdy4cQN//+///a/8WF8G8x63wOMLPv6gH+dfn9m1cpnL5HH76l0Mjwzh9NlTtq8fPnYIK4sraDatF5LMF4v8fj8ajQY6nY4MAiJUiwon8PjnRlRmBdEpYg7jIvCJiq95j+pefZEURpRBbDS3LZ9/WJiHpmu2izeZrQzu3r4Hj9srf47FNj0ALNsZFYtFAN3fi2J9rTh3seVPKBSS6/ybzSZqtRrK5TLcbrccJGUePuX1euW05GAoKJ9n0BNEtfNs6+e9Xq9l/aaqqrh37x727+92nQSDQbz1lnXfcPPPcjgcxl/8xV9Yvu7z+Wyfc3LlyhUoioLBwUEMDAzI77nX68Xw8DCGh4fl/1+2t7exurqK2dlZ+Hw+TExM4MCBA3I44tdNNpvF7du3MTU1JWddAMCNjQf4l9d/5Xif/+YH/yki/u5rkM/nUSwW8eabb+65SjXRbhhsichibGwMN27cQCaTwejoKAzDwNLcEg4cse+BGU1ELBW5VquF2dlZ+P1+jI6OyjCwurqKVquF0dFRBPwBDPkGcLFyGQsuh/1sPlfylvG3+B1OGkfRV0ig0+lYQq2maSgWi9A0Tb5ZEW/wvF6vDLtijZcIko1Go7u3Y8v5zbMn5Iavap1gfKJ2AL+PXsW/uP//w//+lX+ChN+6vYTb7cb5V8/h0u8+kZVR8560vaFWVIlE66X4PGCtproUBQdjo7hVWLAcb768jpXlNRw8fgCBwONwrhkaPA7rU6cOTmJlaQXl0uNBXk97I3P48GEcPnxYfvzOO+9Yvv4nf2KtXnu9Xpw9exZnz5594uM+C6/hXJl1u7+cCorm1mC47Wtfn7S+9ln0Bt+v8s3iRx99hGQyiWPHjn1lx/gqiHXm5tZ7XdcRCPpx7rVpBMPOE3dzmTw+u3gNMICVpVVMTI0jkUxYbuPxeHBy+iRuXr0lLw6ZpyXLAO33o9Vqod1uy8FSoi1anJf43onp5b0V2d3W5pofyzwUKxQKYergJIZGBrG5sIONZWuwbWotLJRXcCjR/T1bKpRw7859bG0+vp3f75f75ZqnLXs8HoTDYUslWSzl8Hg8co2tufVYVGXFhT7RsizW5ZqHT4lwbL5AFPKEnjnYFgoFVCoVpFIpdDod2Yoshhx9lcbHx7G2toaHDx/iwYMHiEQiMuTGYjH5eqTTaaTTaRiGgXK5jK2tLayurmJubg79/f04ePAgRkdHvzZV3GaziUuXLiGZTOLQoUPy85qu4b/6m/8OBuwXLt+aOo+fHPmu/HhhYQGJRALDw8O22xLtVQy2RGQh2pG3t7cxMjKCu3fvYmNjA/sOTMDjsQaO/sE0DFWB1um+mZubm4Pb7cbExISsymxubqJSqci9agGg0+hgZHsAqVgC98OzqKHueC4aNNzEXcTCEcwETslQ2263USwWoSgKYrGYfOPl9XpRq9XkkCjzgCbzHqKBQACK5nZsU/VHfejs6PI+zWYTQcOPQ619eKgs4f9z72f4z6b/MVw9w5oi0TCOnT6K29fuyOAqWvvE2lrzukLxRlkcR0xQFsSb6MOxcVuwbekdLFe2sDK/gsMnHr+pMaBDN3TbublcLpw5exq/f//jPXFl3uvQUg10pyJ/EeYBUgDQ8TtPRPa2dg+2u01eFl97lq2HnPzqV7+S7aRmBw4ceOK6t3379uHSpUsypOwV5p95cRHIH/Dh7GszCEWc124W8yXcunIHChRoened7M2rt/DWD79nu+3YxChWl9ZQKpbkcUToNLceA5DTk4HHAdF8fr1DqMT57zb0yjzh3HyfqYOTmDowKW9/PHUY7y1/YDv3e7lHGPEMYmFuAdnt7tC4eDwuJ4uLtb5A93edCLniuE5V2VarhWq1imq1Kqcli3W54veT2BIoHo/LPbmbzSZyuVz3++P3f37x8HEQfZ51tkC3ZVZMbE4mk3jnnXeee3/rLyKdTiMej0NVVRSLReRyOSwvL2N+fh6BQAD/f/beO06S9C4Pf6qqq3OcDpNz2JnZCTsbb3cv6+5QAoSNZcABDNhgwBgTbbAMBiMsDLYBY8IPESREEBjJllC41d3u3uY0aXd2co6dpnPuqvr90fu+U9VVPTN72gvS9aPPfnRTXamrqrvf5/0+3+fx+Xzw+Xyoqamh37mkQt3d3Q2/34+1tTXcuHEDRqMRHR0d6OjoUMh+326IoogbN25AkiQMDw8rfjc+NfYFPPAvqLYx6PT4lZd/jH4/kWtx9uzZb4jfhCqqOCyqxLaKKqpQgciR5+fnsb6+jp6eHhSzReisasJhc1iwG4hicXERhUIB7e3tlGiGw2Hs7u7C6/VSU6FcLoft7e1Sv5OzBR1ox1hxEvPSkmrfBHFDElekWzgqHkFroQnRaBQcx9EZdwDUFEYURZpVSSI5dDodrdyQGAuI0HRG1plK77E8g/aI0I5tMYjZyCJeXb2M97cpK5hAaVDt3/Jjc32LDn7lcSLyCq6ccMtNdMorAt127arGfHwD3csb6DjSrpBKClIRDNSOyzWeGrS2t2BtpXK+8LsFepRiX8qvxWFckQ+DSo7IWhm2WthPxi0nuIcZML700kuK/cXjcVy+fBnNzdr91QTNzc1YWlrC1tYWlXTKsbm5iampKcTjcZhMJrS1taGvr49e09nZWaysrCCZTEKv16OhoQFDQ0N08iiVSmF0dBShUAiiKMJisWB4eJhWd2KxGCYmJqhLeV1dHY4dO3YgWSGVTnKtOB2Hk0+fgNWubToWi8QxfmuSVk2JIVQinsTWxjYam9Sfj8FjA7g/9kC1XN7TLoc8+5acYznkJFd+j8m25f21LMuivrEO9Y11qrinLkc7uhztKIjKCZadWAAzwVlIkgS7fU8VYjKZkMvlqIya9P8mEiUFhk6no+RUXl2VV2UJKU6n00ilUnS/ZB3yXJSbT5G+3Gg0+uj7sHSfHofYulwuvPzyy4de/62ATqejVVlRFGlGOiGuxGHf5ys585NJDiJXTiQSWF9fx+zsLKanp9HQ0ICuri74fL63nRhOTU0hGAzi9OnTis+bPxHGb7zxp5rb/NjZ70arq4H+vbS0BJvN9rZUzauo4u1EldhWUUUVKhA58uLiIlpaWlBbW4tcpgC9WQ+2rM/RaDFge2cbqVQKra2t9Ic2FothZ2cHLpeLhr4Xi0Vsbm6C4zh4PJ7SIFfi0B5thr6gw7J7HWkmo3lOIiPiPjeNVWEdPXwH6qy1dECRz+eRTqepeycZSAqCQPvp5DmkpG83nyrAZFQOxHVmFvl8XjODdihzBFfNo/ji8tfQ4+pEh6NFdZ5DJwaRiCeQSe/FV8iJi5zUyqs65YNfsk2XvUnzeszFN/BKoYiNlU20dbUqr1UFI6n+oT7sbPlp1efdCp7RJrZvVgaoqthWyLDlv04pcvkxD9PHXF5tJXLJw5i5kNircgSDQdy+fRsjIyPweDxIJpO4d+8eAODo0aMASqRsZGQEFosFyWQSo6OjmJycpFXi0dFRiKKIF154ATqdjspagdLn7dKlS2hvb8exY8cgCAImJydx48YNzcinSuB5HifOH4PdYdN8PR6N4+7VexBFSTFRQLJV25raNTOCjS4TXnzxxUOfx9sODviF0z/52JsJgoCrV6+WnKNNJoiiSAlrKpVCKpWihNZgMNBJCoZhaF+uzWaj2xD3Y6Cy+RSROYuiqIheMuu0JePvNkxPT0On08HtdsNqtdLJCKfTCafTiY6ODqRSKToJu729TXtyW1pa4HK5wDAMbDYb+vv70dPTg62tLaytreHy5cuw2Wzo7OxEW1vb25KPu7W1henpafT09KhM+X7l9d9HMq+h/qhpwg+d/kf070QigUAggNOnT79rpNVVVPGkUH2iq6iiChXIjL7BYEBLS4m8CUUBGysbqnUZhoHb50JjYyOtyqZSKWxsbMBms9FsPFEUsbm5CaAU70AGpNFoFKlUCu2WVnwL8yK6oO7llSOuT2LU8wBLujVIkGgVgvSxlZNaUukhA2NS7chmsyimNao3OhYiU3JNlfeyCYIAa9aElmw9REnEn0z9FTLFrGp7nudx7NQxSp7lvXtkGanSykltpbgYi86IRrNHdZz5+AZEUcTS/IrKsEiUBIiSRg+pXo/+wV56nHcr9OAhCurzf1KDMC3jKK7AgZWe/E/i41xnQRCwurqKtra2A6tA4XAYOzs7CtMYgqmpKfT29qKtrQ1WqxV1dXUYGBjA4uIiXaenpwc+nw8WiwW1tbUYGBjA+vpeNT+dTsPj8cDpdMJqtaKhoYGS7YWFBTidTgwNDcFut8PlcuHUqVMIBAK0ingQOB2HkbPDsDvtmq8n40ncuTqKfL6AYrGIQqFAM2QlSYLBYNAktd/MKI84Y1kWBoOB3gOLxULd4iORCILBIOLxuGoii+d5WK1WuN1uuN1uSlyj0Sj8fj8CgQDi8bhCtl2qSu9d78eVIr9TMBqN2NnZwcTEBG7fvo2FhQXs7u7S70yGYWC1WtHa2oqRkRGcPHkSbW1tiMViuH37Nq5evYrV1VWFZL2lpQXnz5/H6dOnYbFYMDExgS984Qu4c+fOE3Nz1kIqlcKtW7fg8/nQ3q78nXxj+S6+MHNZc7tfeeXfwKDbI91LS0swm830t72KKr6ZUK3YVlFFFQrE43FcvXoVZrMZmUwGgiCA4zg8fPgQhUIeze1NqkF3S3sLNqQtiIKIXC6HtbU12r9EKmXb29soFAqora2lFYFEIoFYLAa73U57loaK/TBG9VhwriDLaVcWRUbEQ34WW8w2uhJtcOjtChJaKBSQyWRoTxkxjyLxHKTnVchqkw6TwwghuUes5Bm0/YVOBAy7CGcj+IuZv8MPDHyPanuny4Gu3k48nJwGsEdciZxRTnYPMzjvtjdhMx1SLPNnI4jlSxMQOxt+NLQoDUBESVD12gKle7W2sg5RePcSW57hVGQdANg3aR5V7oysJUXWH1KG/FZia2uLyvkPwujoKJqbm3H06FEFIQVKaolwOIzp6Wm6TC6J1+l08Pv9mJ6eRiKRQKFQUL3e3d2Ne/fuYWdnB7W1tWhqaqLKi2g0imAwiL/7u79TnVcymaQO6ZXAcixGzgzBWaPtNptKpHD32hiEoqCI7pIbNMlJ13sJWlJqAIpeWQB0IoBIiYHSxBbpy5VnZlssFmo+RbZJJBJIJBLULZm2cDyC6RuE2NbX18PlciGVSiEajWJ3dxc7OztgWRY1NTX0H3nOjEYjGhsb0dDQgFgshu3tbUxPT2Nubg4NDQ1oaWmBzWYDwzB021wuh42NDayvr2N5eRk1NTXo6upCc3PzE5t8EQQB169fh06nw+DgoOJeZIt5fOzC/9Lc7iP9L+J86wj9O5lMYnt7G8ePH69Wa6v4pkSV2FZRRRUUuVwOExMT8Hq96Onpwfj4OO3JYhgGXV3dKGSLMJqU8l2WY+H2uBDdjSMQCKCmpkZRlY1EItDr9airq6PSS5InWV9fTwcKgiAgEomgw9qGAVM/VnTr2GC39z3ngCMCU8EMj+ABpJJMkgzW5DJi0jPLMAwKhQLS6TRyiRxIz5gcBiuPdDIHSZI0M2iHsj24bb6Pe4H76N26g/MNp1T76DrSiaA/iEg4SpfJpdBkn2Q5gVasTLetCZd2xlXHWEhs4qTnCJYXVlTEVoKEQrEAXqeW1w4dH8LE3UnV8ncL9OC1iS2rNNwiOGxVlGEYFNkiRJ163/sZR71dWFpaQl1dHUymg2We73vf+yoOTIvFIo4eParZP8dxHFKpFK5cuYLOzk4MDg5Cr9cjGAzi7t279Lp3dHSgrq4OW1tb8Pv9mJmZwfDwMLq7u1EsFlFfX4+hoSHV/g86d5Zlcez0EFwel+br6VQG966PI58rTT6Qz0u5OdN71fAmm82iUCgoWhq0QHpl5YQ1n88jHo/T1wkRlptPESdk4pYs78sVhD0vgG8UKTKwV5W1Wksu/qRnOBaLIRQKURNCUsEmxlpErpzL5bCzs0PjgFwuF23RIVXzzs5OtLe3IxgMYn19Hbdv38b4+Dja29vR2dlJ89jfLCYmJhCLxXDmzBlF1R4Afu/mX2ElsqXaxm6w4D+++EOKZcvLyzAajYeaPKuiim9EVIltFVVUQWEwGPDMM3txAK+88sqhtzV5raj11uPIkSNP7HyefmJ7UkIQBLz66qtIZ7XdmHVmVlEVkrulAoA760At54bfEMbfzH0BnY5W1FnUktDjp0dw5fVryOfyCoMogoMIGSHC3bYKBlKJDZz0HEE8mkAoEIbH51auwEq04i6H3WFDU8u71zREz1YitoxmTqy895JAngks//+v1zjqrUIqlUIgEMC5c+cOtf5+1Ran04lEIlGxckrkkseOHaPXrLzqC5Qc0ru6utDV1YXJyUksLS2hu7sbLpcLGxsbNErrcdDd3wm7W/u8Muks7l0bQy6bU0zwlDtOH9aY65sRkiRRF23SA8vz/L73QU5YiVtyPp+nbsmkKivvry2vAOfzebCcWoosSRKWo9vICwXouXd+ckgOIu03Go2w2+3U4Itci/r6euTzecRiMUSjUSwvL2NpaQkOhwP19fXUKdlgMKC1tRXNzc20D3diYgJ6vR5NTU1obm6myqDa2lrU1tYilUphfX0di4uLmJ2dRV1dHbq6ulBXV/fYn5m1tTUsLCygv79flam7tLuB/33zrzW3+9nnvh9ey94EUiaTwdbWFoaGht5zMv4q3juoEtsqqqjiPQeO46DX6xGNRktuz0blVyFrZCmpLY8MIsuPZroQ1keRFwv45NRf4mdP/ih4Vrkfg9GAoeODuHnlluLY8iiRSoN0OYFrMHtg5gxIC0pp9nx8k57X0tyKmtgCyOWyMJvVVenWjlbVsncLeKmCFFljQHhQ5VZ+bRmGQdGoLeXUF95ZYru8vAyDwfBEMiWPHj2KK1euwGw2o6mp1DpAKlSDg4OwWq0QRRHz8/NoaGhAKBRS9N8CwNjYGOrr62G1WlEoFBAIBKhTb1dXF5aWlnDz5k309vZCr9cjmUxibW0NJ0+e3Hfg7vI4IUjqe5DL5jB6fQzZzF7fejm5lUcEaT0f7wWIoki/kwRBoNE8LMtSkivv2S+HVoZtPp9XmE8RQis3QyrFCu3dV47lwLN6TIfWsJOK4icu/yfY9eqqpJNx4Cw3BClbItQ6nQ7FYpGaw5HzyGQyaGxsVBEu4pWQyWSQy5VUNHq9nsqn5S0oBCSmLRaLIRgMlkg5y8Jms8HlcsHhcFACr9fr4fV64fV6aTZ6OBzGzMwMVRnV1tbCYDAo8m7T6TS2t7exurqKpaUl+Hw+tLS0wO12g2EYWCwW9Pb2oru7G9vb21hbW6MtPqS6e5iYrng8jjt37qChoUHllC5JEj726u8gL6hl+cP1R/A9wx9ULFteXgbP8+js7DzwuO92PHjwAFtbW481+V7FewNVYltFFVW8J0EIajEtQlc2vuDNOhr/IXcwlhuI8AyP/mwnJk1z2Ezu4HMLX8JHe75NdRxfnRedPR1Yml9W5F7KUZ6nWy5N5hgGXfZGVZ7tUmILRVEAx7AI+UNIxBKwlTnM8kYeqWQKFquS3HIcq5l5+3YjV8wjmlUaDukfuSKX4830hJVfy5xOu2/bUDRoSsPLq4ZvBSRJwsrKCtra2p5I31tdXR2eeeYZTE1NYWZmhg7qifzQ6XRieHgYMzMzuH//PrxeLwYHB3H79m3FOY2OjiKdToPneRrnA5Tkxi+++CImJydx+fJliKIIs9mMurq6N1VJzeXyuHdtDOlUBUf0RyRI3l/6JK7TZz/7WZw/f/5tjzxZXl7G+Pg4vuM7vuOxt+U4DoVCgUpb5b3RpK8WKE3IlWfzlkNelSWTdvl8nhJJoKTiMRqN0Ol0kH8EssUcpoJrCKSjAIBwNoJwVmmc1II6HOO7EEntIp/P08xx4uZNyCf5Xk0mk6ipqYHFYlFEmHEcB6vVCpPJhFQqhXQ6jWAwSEm+3W6nPg3yqr5cShyPx5FIJLCysgIAsFqt9HVSleY4jsqR0+k0QqEQNjY2sLa2Brfbjfr6ejgcDurKTdyQA4EAtre3cffuXZjNZjQ3N6OxsZFmDDc1NaGpqQmxWAxra2uYmprC1NQUmpub0dnZSclwOQqFAq5duwaTyYT+/n7VOl+YvoSrq2Oq7ViGxa++8uPgZGZf2WwWGxsb6O/vV1zbtxqZTAYzMzPY3t6m3yXErKutre1tPZcq3huoPlFVVFHFexIsy0Kv16OYUVePOD0LTs9CLOwNqAnRkve2NefrsK7bQYSP49LGDfS6ujDk7Vftr2+wF5FwBLFoqb+tvApFzqec4Mr/u9vWpCK2ObGAtZQf7dZSlW9pbgXDpwZVx8/kMipiK0FCTsjgwcQUwsFdxXWRk0qWZfHc+55BOURJAlAmCwYHcsqhYBjjY5P4bO4yilBeYx/rxLfoT+JuYQ43UlPwp5TGWDx02q7Ib9I8CtgzkNKSInNFDigAwqPz1JK8ynt7Dxvlc1j4/X6k0+k33ffW3t6u2raurg51dXUVtzly5IiqbaCtrY3+9/Hjx/c9ps1mw/nz5x//ZMuQz+Vx5427SMSTAPayYYmigYDcP3JPDkOgM5kMpqensb29jUwmA4PBAKfTiZ6eHtTW1n7d5/5OgHwfkRYDkgtcIp4SNdgiRJdsQ3puy/N2CeSRQECJVMkNqOTbRXNx/K/xT1NSq4WOXCMGs52IsTFKBEn/tZxQOxwOFAoFxGIx5HI5+P1+AKXJE9IXS3pKSXa53W6nOeXJZJKapXEcB5vNRv+Rz6zBYKBV2UKhgGQyiXg8js3NTWxsbMBkMlGSS0yyiGtwY2MjwuEwQqEQHjx4QCXMPp+PkvT6+nrU1dUhkUhge3sbc3NzmJ+fR319PVpaWqh82OFwYHBwEEeOHMHm5ibW19exuroKp9OJzs5OtLa2KjKe7927h3Q6jbNnz6oIYDyXwi+//gea1/57j38bBuu6FctWVlbAsiy6uroq3rMnjWQyiddffx08z2NwcBAOhwMsyyIWi2FpaQkmk6mao1vFE0eV2FZRRRXvSZDqnFbkDwDwFh65aJ4OrkkFl4AMII8mO3HdOQ6RkfDpmf+DX7A3wmlQ9kGxLIuR08dw5fVrKBb2em3lEmd5/IT8/8nrXfYKfbbxTUpst9a3cWSgG0aTsgTtcNmxtbGFhqYGxXIJEtq727G8uKKIHpJXxhiGQTabhaEs77eUlqsknywYAAw9ZjKRQDIVx6oYUJ4zGIyYWrFUWIO/qCS1HFhwDAvhCVVsy1EwqGV75cZRlaq0hFAR4nUYgnsYAlZXV4ePfvSjB673zYZCoYC710aRTKToMrncmKCcjB1mUiGVStFB9fDwMBwOB0RRxM7ODkZHR/GBD3zgyb0RGbR62t+K/WcyGVqVlRN+YrKl1+sVLtIkt5YQYbJtpeeTEGGdTkertwzLYCvpx2+Pfwq72WjFczzNDKLf2IGUkKJu1olEAslkksqgjUYj/TzzPA+n0wm/3w+bzQa9Xk8rpsFgEAaDARaLBVarlRo7kcxys9lMpcdETh2NRqlhlN1uV5BjnufhcrngcrkgCAKSySTNdd3e3obJZILX60VNTQ29lj6fD16vF8lkEsFgEMvLy1hZWYHP50NdXR3NxyWku729HX6/Hzs7O9jc3ITdbkdLSwvq6+vpvWlvb0dbWxtCoRDW19dx7949TE5Ooq2tDZ2dnQgEAlhbW8Pw8LCm8dRvvPGnCKZ2Vct91hr81DPfq1iWz+exvr6Onp6etyVrl2B0dBQMw+Dll19WEHNi4kU+x6lUCmNjYwgESr8TdXV1OH78uEKqTZypBUFAc3MzrbJXUUU5qsS2iiqqeM9CkiRkYlk4oR446Ews0uHSAJsMHElPLMnSBAAHY0NXrgVzxlWkCmn8ydRf49+O/KBK4muxWjAw3I/xQ7gRaxnndFUykIpv4JWGk3TdlYVV9A6qDbwEsTS4LR8QmM0mHOnvwcP704rl8gFvJpPRILZaA2KJLtfpdPB6PWjJ+lTEVoSEDTGEvKQ21NKjNACV3gJiW2SKEHTqiYzDGkfJiWx55VBLOq3lcF1FCcViEXevjiIWiR+4brmC4DCTBffu3QMAvPTSS4pBtcPhUFS3c7kcrl27hp2dHZhMJgwPD9MqkpZkeHNzE9euXaMTEaTXr6urC9PT00ilUvjoRz+KfD6PyclJbG5uUunw0NAQGhr2Jpd2dnYwNjaGTCYDj8eDU6dOHegqTQiaKIq0qgrsGUnJ2ydK2bOlai2ZMCiPSyLZuHKCDIA6wudyOeh0OhgMBizEVvAHFfK7AYBlGPTUNKAn2oJUIgVJkmg/a6FQoPuTy5xNJhM1rbJYLEgmk2hqaoLNZqM9xOl0GrFYDLu7u9DpdLSSS8ix3BDK4/EoeoZJdrrZbIbNZoPdbldIjx0OBxwOByRJQjKZRCQSwdraGjY3N1FTUwOv10uruKQSnM/naRV3Z2cHNpsN9fX18Hg8VAnU3NyMpqYmGi/04MEDzMzMULMpi8UChmFoJTmdTmNjYwOrq6uYn58HAHg8Hk3VxeT2HD499gXNe/CLL/5r2AxKdc7q6ioAoLu7W2uTtwTESXpwcLCi3Jh8P167dg06nQ7PP/88bYG4ceMGXnjhBQAlY7upqSkcP34cHo+HXqOv12m6im9OVIltFVVUcSh8s5k1kJ4yVtIeJOtMexEY5dsBygzarlwLtnRBJHVpzEeX8ZWVS/hg+4uqfTa1NiEYCGFzrRTN8DgGOBadEY1mjyrPdj6xofh7bWkDnb2d4Hnl17uvwYu5B/MYPDag2ndnTwfWVzeQTJTkoPKKJABkMlk4tdNZ9kVdQx1aNtVu0QCwJgS0iS1TOu+3omJb0Gtnn/L5x3dzlUc3kWehvIJbJbXaEIoC7l0bQ3Q3VnEdcl3LPyPkmu/32TloUC2vWk1NTWF4eBhDQ0NYWFjArVu38KEPfeixKkLJZBIbGxs4d+4cHaxfuXIFhUIBZ86cgdVqRTweVxByQRAwOzuLM2fOgGEY3Lp1CxMTE3jqqaf2PRbDMOB5HtlslpJRufwYADWSIhVZ8o8sA/Y8Awh5lO+b9MAKggC9Xg+e57HEbOAzk1/SNP4CAJ7l0O9pgs1gQtwfg14qyYzJdySpAFutVpopnsvlEI1G6euk1zeRSMDpdCoydklVNpPJIJlMIhqN0tfNZjMsFgs9FpFUu1wuFItFSnIDgQD8fj8MBgPsdjtsNhslrXLiWigUsLu7i93dXQSDQVitVni9XjidTkpcifw4Go0iFAphbm6OxnWRWDuGYWjPbiaTwc7ODjY2NrCysgK3243W1lZ4vV4qfe7p6UFrayuuXr0KQRAQDAZx8eJFtLS00CqlIAr4+Vd/C6Kkfv6fbTuBD/U+q1hWLBaxurqKjo6OQ5lVPSkkk6XfknJn9s9//vP0s9vZ2Yna2lrEYjF86EMfoln2p0+fxle/+lXs7u6ipqYGc3NzaG9vR0dHBwBgcHAQfr//PWsgV8X+qBLbKqp4DyMUCuHixYvUbOa9hELxUf8ZOAg5AZxBSWB5i04xKCaSOvlAkRAXURBxNNWJW477AIAvrbyGI64OdDrbVMcdPDaA6G6U9hQSkP2RgbsWKeq2NamIbSAbRSyfgkNfmqUvFotYX15HR4+y55JlWRhMeoSCYXi8btVrwyeGcP3yDU2JbSatbepTjr16bQm19bXwsS4YwCMHJalcEwIwMGpCyTOlwfhbUbHN89rGUfo3QWwJtKq4ZHkVagiCiHs3xrAbiuy7XiWZt9xNvBIqDaq10NbWhpaWFgClAfP8/Dx2d3cfy51aFEWcPn2aEoednR3s7u7i/e9/Pz2H8uqSKIo4ceIEXd7V1YWHDx8e6lhEilssFmEymWjVlXxHyXNrCaElslp5NZcQfLkBVT6fV/b9Q8KENIsJZq70AdeASadHv7cJJl1pfwJX2lc4HKa9tERCDOxVl+UZu6RfFgCi0Sg1JCPbyauyLpcL+Xwe6XQamUyGThoQgmu1Wul3t06no1VZ4rCcTCYpadXpdLDZbHA4HLSKyvM8amtr4fV6EY/HEYlEsLy8/EiF4oXH46FuzETWnM1mEQwGsb29jY2NDbhcLtTX18PlctFzb29vR0tLC0KhELa3tzE6Ogqj0Uiru3q9Hg8ePIAkSTh+/DiKxSJ2dnawtLSEhYUFtLW14VZqFvd35lX3wMDx+JVXfkz1uVhbW4Moik80hu/rwUsvvQRJknDr1i2Iooh4PE4l5QQOhwM8zyMej6OmpgbxeFzl5Ox2uxEMBt/u06/iGwBVYltFFe9hLC8vo6urC8vLy8hkMgfK4L6ZsOBYhT1tBi/yKKTVxFZv2ft6lGfQapEXhmHgKtrRkqvHmmEboiTiTx7+NX7+1I/DzCuvqY7XYeRUqd+23CzqIHTbG3HJP65+L4lNnHD30L9XFtbQ1tWqIoLN7U24feUennnhvOo1t6cGTS2N2FjbVO0/k1FLDxmGqTjQJbBYzHA47GjOe7EgbCleC0hReOFQbaOH7pHc+y0gthUrtk+m76y8ikukoFXsYfb+HMIBdW/g4+BJTho4nU7636T3NJfTngCpBLPZrKiGRaNRmEymfYk1cfolMBqNtHK6HwgJlLdElEuP9zOS4jiOEl25SzshgsVike6nKBZxg5nAKrtT8XzsehP6PE3gZcoWvU0PG+wK+TGwV5U1GPYcyOUZuyT2h5g7xeNxRS+tvLpK9kOqsoTkBgIBBAIBGI1GWCwW2Gw2Go9ErrnVaqXHSqVSSCQSiEQi0Ol0qKmpgcvlokZbxFQqm81id3cXfr8f29vbcDgcqK2tpf21hKA2NDQgEokgGAzi4cOHNMKrtraWVsNJ1i0xm1pcXMTCwgKsVisSiQT6+/vp89TV1YW2trZSdu78A/za7J9p3ocfPfvdaHMp21UEQaBu63Li+HaAPNuJREJzeTVHt4q3ClViW0UV71EUCgWsr6/jpZdeQjabxfLyMvr79xx99zNr2NnZwdWrV/Ft3/ZtClnf2NgYYrEYnn/+eeRyOYyOjiIUCiGfz8NqtaKvr49WRwDg4sWLVK62vFyKw+no6MDAwJ5c9qBetWAwiPv37yMSiUCv16OxsRFDQ0MHxgik9GnM1yygPdUCW9IEo0tJbjgDB3BAMbdHasvNo+QkxmKx4KzhOAzWh8gzpUHkq6tv4B90qU1qampqcPzUCJYXVjTPrZLU8rxxBHezS6rlgomFy7WnFc7lcthe30Fjq9IsSqfTwe11YXFuCd29anfM/qF++HcCyOeUzsHZzOEqtlqoa6hFS9inIrYAkJbUBILHPhXbr8MVGYCmIzIrsGCFJ0s+5dVGHV/9mZUjEo4+kf3sJ0OsNKjWwn7ZyAflSxOUf9ccZtBeftzDTnDJ5cdAyXiHkFW5GZTcSEqeASyKIiWacnkyqZySSm6BKeIGex/bTKjiuRz39sNoKKr8BASdQPdrMpkgiiKtICeTSSSTSdq3S/pryfmYzWbaO0wqoYTsyqu2ZrOZXmedTkeNm4rFIjKZDLLZLCKRCMLhMJVAWywWBTkmhNnj8SCXyyEWi1HDKrvdjpqaGhohZDQa0dDQQKWzu7u7mJubo47LHo+HXm+Px0Mjg4LBIFZXV7G6ugqv10uzoeXS5/b2dqyurmJnZweSJGF5eRm5XA4+n4/e2+bmZvzm5F8iI6i/M9tdjfjhM2rzufX1dRQKBfT29h7q2XqSMBgMqK2txcLCArq7uyv+HtvtdqTTaaTTaUq+Y7EYCoUCzc222+0Ih8MK1/bd3a9vcqyKb15Uf3GrqOI9ivX1dWqm0draivHxcfT19YFhmAPNGnw+H/R6PTY2NmjfiyiKWF9fp6RUEAS4XC709vaC53lsb2/j1q1bsFgscLv3pLCrq6vo6enB+973PoTDYdy+fZuaZhzUq5ZMJnHlyhUMDAzg1KlTlEyPjo7i9OnTB14DkZGwaF1FOBXBM/kTsOuVckHOwKCY24sgISh3bTWbzfjgBz8IjuPwQRzObbWn8wh6Oh9fHva9+O4D1xEEARcvX1QRWwBo7WrFlQtX0djcALNFOYtvMOjRN9CLiXtKg6tMulIliYG8bCuKgop81tXXoeWhD9AoluY1FuoZUm1SV+Xeiootn+PBaBphff3gOA4Dw+r4pyreWhgMBtTV1VUcVOfz+UO5wxoMBhQKBRSLRboP0hO6HxwOBzKZDBKJxKHk0I8DuRlUoVCgE2ykMkrc20lVFlC6eQNQVHPlBlRk/2lkcJG9iyhTeWLg/a3P4ts7X8JfzP8lpDLpRpFVfs5YlqVOyMT0Sm7wxLIsJbl6vR4WiwW7u7sQBAFOpxOSJCkIazqdRjgchtFopORULj0mhJFEAqXTaSopJhJokotLzKfI+bndbtrDG4vFYDQaUVNTQydgOY6jVd10Oo1IJILNzU1sbW1RsylChkl/sDwyKBAIwGKxoL6+Hl6vFxzHQRRFhMNh2Gw2+Hw+hEIhLCwsYHl5GbW1tWhqasJoYAYXVm5q3ov/8sq/gUGnfJ5FUcTKygpaWlreMZOlEydO4PXXX8eFCxdw9OhRqo6IRCJIJBJwuVyora2Fw+HAzZs3MTIyAlEUMTo6Sp2pgZLp1Z07d1BTU0PHI7FYrGoeVYUmqsS2iireo1heXkZrayuAkr1+oVBAMBiEz+c70KyBZVk0NzdjbW2NrhMIBJDP59HU1ASgRPbkM8Xd3d3Y2dnB+vq6gtg6HA4cPXoUQKknbmFhAYFAAHV1dfD7/fv2qk1PT6OlpQU9PT10+5GREVy6dAknTpw4tNwpiji+tHwZw95eHHF1gH1EnHmLDoWkoBnLQ64DAIW07t0AjuNQzBcR8ofgqfUoXjMaDaitr8Xk2AM89bSa/Le2t2B9dQPhYJguy1So2CppLbAdCaLZoyTTbncNag01sGSNSEFJkAtQG9Ho8YjYapijfD3EVmRECLzarOpJyZDLwTAMTp49DputOvgiILEzbweOHz+O119/HV/72tcwMDBAnW93dnawuLh4qLifmpoa6HQ63L9/H93d3QiHw1hZWTlwO5/PB4/Hg+vXr9O4FlI9fpze3f1AKrKiKFLZLKnIHuSWTLYllV95X39Q2MV1/SSyjFrdAAAMGHxP77fhuabSd4de0iPHKO9pDjkUCgXNOCE5iSXkPJ/PI5PJKNySdTodEokEJYnEfIpUZbPZLJUH7+7ugud5aiRFpMdakUByl2XyOpEsExm30+mkkxOxWAxbW1vY2dmBw+GA2+2mxlCEuBYKBUQiEUQiEYRCIVgsFni9XrhcLjoRUVdXh9raWsTjcQSDQUpcfT4ffTba2trA8zwcDgdyuRzC4TACgQA2d7bwq4t/oXk/nq4dwukGtSHg5uYmstnsO1KtJbBarXj55ZcxPT2N+/fvI5PJgGVZ2O129PT0oKurCwzD4Pz58xgbG8PFixcB7MX9ELS0tCCZTGJychKCIKCpqQmdnZ0087iKKuSoEtsqqngPIh6PY3d3F+fPnwewR1TJD+1hzBpaW1vx2muv0d7c1dVV1NfX00qIKIqYnp7GxsYGMpkMrRCUE0ASXk8g7zU7qFeNzKqvra3RZUR2l0qlqJTpMBAkEaOBh1hLbONs/THY9VYYbHpkAnn6fuS9fe/23kmWZbE8v6oitgDQ3tOGKxeuYXtzG/WN6oH20MgALl14g77frEaPbQlKauuPhlTElmEZ1NXXojnpxYywfuB5848qtpJGxbbctOtxUMkR+esxjtoPQ8cHUVdfC1ESFX2QTwK5Qh6/8X9+F//q278bVt6+775LkwTKCYRUMoXRW+Oa68ufa7mk2lXjRO/gkYqSQgmABBHljdcL00vwb5XinnK5HNLptOL1tyoSST6oHh8fL2UxP+rJPHHixKH2YTAYcObMGUxMTGBpaQk+nw/9/f00Smg/nDt3DhMTE7h58yYEQYDVasXg4ODX+7aopFeeq10sFhWS3vJ4H/J9KndLJvuSJIkS4y0miKvcGIqMtvOxgdPjXw1+FwY9e0oTA2NADkpiK3BFep/lcULl3/0Mw1AHYwCU5JJKNFCaMCX5tfKqLOmVJZMl2WwWsVgM0WiUSqBJ77OW+VShUKASWL/fj1AoBJvNBqfTSY2hCCkuFouIRqO0F9dsNqOmpgZ2u50SV5J1m0gksLu7i5WVFayvr8Pj8cDr9VITLGJklcvlaFwQMcpKpVJwOBy0h7ihoQE+nw+/eflPsZFQkzgLb8J3+M7j+vXrGBkZob+loihieXkZjY2Nqt/Xtxsmk0lBUrVgsVjw9NNP77tOf3+/olWqiioqoUpsq6jiPYjl5WVIkoQvfEGZhceyLEZGRg61j5qaGlgsFqytraGzsxObm5sK+e/s7Czm5+fpDy7HcRgfH1f1qO1HEA+qghaLRXR0dGjm871Zs4xQJkKrt62mkhmHXHosN48CKru3vtOQJAlBfxjxaBx2p5Lg2+xWeOs8uD82BW+tV0VW7A47OrrbsThX6uctFoso5Avg9fuTwFhaW7pYV1+LliXfoYit/tHPUrncm4BUph4XWv21wFtTse3p60ZbR0uJXEBAshgDA+VzXhSLuLx4Efo1M1iG3feZuhC/i5v37iITLxGUvvZ2fOwH/zWi+TBSxQQ8Rh84tsLPOVOqsomS+Ih4AhvrG4hEKrsSaz3jkUgEwVAIp8+fhMlc2WSudJzSuT+cmMHqwlrFdcm+yTGf9OeIDKorDaxJFq0c8sxaAGhsbKS5tgTySb+BgQGFJwCBwWCo2A7R3t6uyNIlx9E6n3KQKiuJ6wFACayW9JiQ3GKxqOh1JRJcUsldYNZxh5uCxGjfA6NkwE+d+AG02pXXQg91LJLIi5QQahFrYqJUPiFDqrLkPSUSCUoqyeuEnJLvLI7jKAEl709uCsWyLEwmEywWC829JfsiJLNYLCKRSCCRSCAajcJsNsPhcNBeWJ1OR/tmk8kkYrEYNjY2oNPpqCsyIcOk1zeXy9EKrt/vh8PhgNfrhd1up8SVxBjZ7SWjrcXFRfA8T3t2eZ7HdjqE/7dxTfOe/MTZf4oXep7F9PQ0bt68ib6+PjQ3N2NnZwfpdJpOXFdRxXsJVWJbRRXfpKjkciyKIlZXVzE8PKwKf7927RrW1tYObdbQ2tqKtbU1KheTy+xCoRAaGxup3JnkEz5OFfWgXjWXy4V4PP6m+tgMQmVCQ6q3q4ZttKIRJpQcKstJ+LuR0BKQc1uaW8Gx00Oq1zu623Hryh3MTs3hqEYfaO/RI9ha36bywEwmoyK2DBhFfY5jWSxsr6KrvlWxXm1dLVq52kOdN8mxrWQO9OaJ7ZPLsN0PLW3N6BsoVbTER0RSggSpTHZ9L3gH0ZUE9DEl4S6vmN4OTeF3v/YZ5FOl9Z4aGMbPf/+/oiRGENXy6nIwDAOO4SBKDERJoBXUSiDEWu6ayzAMkvEkrr5+HafOn4TTpV0JYhkOoiRi5v7BpLb8mORY7+bP1TsNjuOg1+sVhlCkx5a8Xh7tQ6S88iou8CjLVihi2rCCOX3le+WQrHiFO6sitQCgE0ome3KInAhwgJ5VxwmRqiyw50JNDLHK36fFYlF892ezWeqWrNPpYDQaYTKZFNJj0isrSRJ1kM5ms0ilUgBAK7lyckwIqsPhQDqdRjKZxPb2tiIqiMiqSf9uLpdDPB5HOBxGMBiEzWaD2+2mkUGkz9vn8yEWiyESiWBhYQF6vR5erxc2mw0rKyuw2WxoamoCwzDIZDLY3d3Fzs4Otre34fP58ImpzyAvqr+7+tzt+MdHXwHHchgeHsbS0hKmpqawu7uLRCKBuro6haFgFVW8V/Du1tJVUUUVbwr5fB5jY2Oar21vbyOfz6O9vZ3+aJN/jY2NWF5eRnd3N1ZWVrC8vIxEIoEHDx4gFoup9tXS0oJIJIKHDx+iqalJUWG12WxU4hWPx3H37t3H7q+T96rt7OzQAcf29jYAoLe3F+FwGKOjo9SQYnNzE6Ojowfuuz/WjcZ03b7rhHMRjPumsGnZAcMqqwvfKIPv7Y0dzRxat68GDqcdi/NLiMfiqtd1Oh0GR47Sv7Uif8phM1nx5XuXVcv1Bj3avU1wMJYD98HjYGL7ZpA3qAeHjMCAKz653mhfnQ/DJ0pyU0mSVKY6BNliFovBRfAx9eQKqcZJkoTpnUX8zpc/TUntYGcP/vfP/RL0/N52ToO7crW2DCzDggUH/hDGSeRcCIicupAvYO7hHESx8uQCy7Dw1voOdCbXwjfK5+qdhrwiS8BxHHU3Jj2rcoMpUkGlkmQDjzHrHOaMlUltrejGy8WnYK3w2dVD+1kqMHufN1L1JGZPJpMJer0eoijSictEIoFsNotisUifAUJ6ySSty+WCx+OB3W4Hx3FIJpMIBoPY2dlBNBpFNptVTJAYDAYay+Pz+Wh/bjgcxsbGBra3txGLxWjlm2VZWK1W1NXVob6+HiaTCZFIBEtLS9ja2kI6nab7J27IbW1t8Hq9yOfzWFlZwfz8PEKhkGKfLpcLHR0daG9vh8lkwtbWFmZmZiBJkiJuymQyobGxEd3d3fB4PPj72Tdwa+u++t6DwXfUnMPO9g79XHZ2dqK3txd+vx+pVIpOKFdRxXsNVWJbRRXfZBAEAdevX6+Yibi0tITa2lpNV9CmpiZEIhHY7Xb09fVhcnISFy5cQDqdVvXcAiXyWlNTg1gspvoh7evrg9PpxBtvvIGLFy/SuITHxblz5+ByuXDz5k189atfxeTkJB1cOJ1OvPDCC0gkErh48SIuXLiABw8eKDIlK4EFi454CwZCR2AsquV0BCIjYcWxgcmaaaS5zFs68F5eXsbnPve5J7pPSZKwsrCq+Vp7TxskSVK5IBPUN9ajtt4H4HCRPzazRZPYAo/ckVnfgfvQM0SKWIHYvsnIHy0pMp/XPzFHZKfLgVNnj4Nl2VJfK7TPnwGD0eA96IPGfY99Y3Ecv/rlP0QxXxogdzY2449+4b/AatqT2Jt0Fpj5gycL5GBZFuefO4v+oT7VZI0WCCkiEwpOtxPHTg9BYrQNvgi8tR6cf+HsvrLlKh4fhUKBVmkJ5LJco9FI+1EZhkGhUEA2m0Uul4MoipQQ55kCLvF3scZVzqhtztfiTKIfYlZAsaiteDAw2t+1qUIS6XQauVxOcb5E/qzX66lxk8FgAMuyyOVyVEKcTqeRz+dhMBhQLBZplZdUZYm01+l0wmAwIJPJIBwOY2trC7u7u0in04qJGZ7nqetwbW2twqF3Y2MDwWAQmUxGQVzdbjcaGxtRU1ODXC6HjY0NrK6uIhqN0qo3x3FwOp1obm5GY2MjDAYD/H4/Zmdnqb8EgdlsRlNTE+2jBUqpAIuLi4hEIvR8dTodLC4b/s5/VfPafmfv+3CydQBLS0uYmZmh5+LxeKjT8927dxXeE1VU8V5BVYpcRRXfRJAkCffu3UMwGKzYX/PMM89U3N7tdtM+L6fTeSizhpdeeklzucFgONAQ4oUXXlAtK99mv141oNTr+9xzzx14nuUglTFH3oYT4UGsuTexrtuuuH5cn8SY5wFaEk1oTNUqSMmTIrvNzc1PzDVVjvXlDXT1dSqqOwBQ31SH2Qfz2A1HsLq8htb2FtW2QyODeD1wSTPyh2EYhVeQ3WTF1el7SGRSsJmUhKu2vhYtnA/3heV9z1VPK7aVe2wfFyIjoqjhiPykjKPMFjOeevo0JRgSKldr47k4ViMrsEVqNF+XJAl//+Ay/uLO39Nl9R4v/vhjvwaXfU/+yzIcXAbtfexs7UDH6+D2uCsaS/X0dsPr9eDOzXtIp9Ka68jPSRAEuDwunDh3DJyOe/Q+RYiSBAas5nFsDhvOv3gOd6/dRTSiVny8WRiMBnQfUecwv1cglxMTokiWk95Z8iwS0z5yDwEgJiRww/IASbbyfT9a7EC/0AGR29/8jBd5zRIJY2TA5BmVQzOJIiqXSROpNOkdJlFEQOkzn0wmaaVWvi0xn7LZbCgUCjT2SO6wTOTJcukxif0hMUIkeogQYKvVSg267HY7bDYbstksrRITsymHw0ENquRmU/F4nJpZmUwmGhlElhM5MnFo3tzcxM7ODpxOJzweD/5o8vPYzamVNG6TAz9y4qOw6s2wWq1YXV3F2NgY+vr6kM/nkU6nMTIygp2dHdy8eROhUAjDw8NviWv/YWOzqqji7USV2FZRxTcRHj58iJWVFQwNDT1WL+t7EYSMkh/8zngrjhxrx83tcSQL2gM+kZGwYl9H2BhBd7QNpuLBleHHgdyx9EmiWBSwtrSBziNKwxqGYdDe3YqHEzN4ODmNuoY6GAzKgYrZYkZPX7emnLkcNpMFhWIBr01cx0eeelnxmsNpR4+1GX+/e2vfffC0x1abGMqJbflgu9IEQ5EvQqs4+iSMo/R6Pc4+cwYGo4Gew77V2tA96MNGMKL6hERRxKdu/T+8Or1nFlNjd+BPPvZrqPd4Feu6DG6wjHqwms/lMXZ3AmeePglREsBCbdJD9+F24YVXnsfEvQlsrG3u+z7tTjtOnDumej5LFF4EIzKakw5GowFnn3sKY7fHsbP19cVz8DyPriOd6OpWT9K8V0D6UuWSdbmJlNwQipBaAJRQhpkorurHkWO1K7CMxOBU8Sg6xMZSVR6lKq/eoP1ZYfKM5khS0ku0F5icK+mzJXm7hOgSMk7OnXwnk23y+TxEUaQRPTzPQ6/X095aAkKQiVtyNptFPp9HLBZDLBYDz/OKvlxyPQmRJRXj3d1dRCIRWK1W2Gw2agxFjKuKxSKSySQ1kjKZTJT8kvdFsm5TqRQlrqSFxmw2w2azqSKDCBGe3J7D3829rnm9v6flJZi40neNy+WCyWTC0tISxsfHaSXb5/PB5/PB5XJhZmYGu7u7OHv2LCyWx1N37IdYLIbJycl9J8qrqOKdQFWKXEUV3yTY2trC5uYmhoaG0NTU9K6Po3k3QD6LXcgW4dG58KH253DE1b7PVkBCn8S4t9R7W6kyR7C1tYXPfe5zVGYWiUTw2c9+FpOTe/LfO3fu4ObNmyop8oMHD/Dqq69iZWUFX/ziF/G5z30ON27coJWMx8HKwqpm32pTWyN4PY98Po+Hkw81t+06opah72FvYGnUG6DX8fjSvUuaa3Y2tsHD7B8/QSu2FaTIOl6nMMeRO8CS5SzL0n8Mw6Cg0V8LfP3GURzH4amnT8Fq2xsw7vc8hLMhbCY2oA+r5bm5Yh7/4/VPKUit1WzGJ//jr6KjsVmxrllnhUmn7fo9MTpZyop02kuWVVJxX8kwz+tw8qkTOH56BDqddlXH5rDi1DMnKpLJjZUNXHv9RsVYKE7H4cTZ4+jo3v9zVQksy6KzpwMvf/B96O0/Ah1fnZOXOwzLK6CEOBIJMFmXYRhssgFcMtyrSGp1EoezqUE0Zb0oFAooFou0Ksqx2s8GW6FHXeBKZJuQVUIqjUYjfY5IL3A6nVb115LzJvm0pGqs0+lQKBRorE48Hkc2m1UZyhHzKZfLBbfbTYlkIpFAIBCgfbnku5RhGBiNRrjdbtTW1sJisSCVSmFrawvb29tIpVL03EjWbWNjI7ze0oST3+/H8vIyQqGQYp9WqxWNjY1obm6m9yiRSGBrawvJZFLRT+zxeNDY3ITPbHwNosb3yDFPDwZNbZienqZxSkajEb29vbBarchkMtDpdFRy3tLSgjNnziCdTuPChQuUWH+92NrawmuvvVYdY1TxrkT116GKKr5J0NDQ8KZ6WN+rkP8ok0FRIV2A0WnAydoBNNvqD67eOjYQNkVwRjpZ8Tgej4dGVtTU1CAYDMJgMCAQ2HOmDQaD6O3t1dw+mUxic3MTzzzzDPL5PG7cuIGZmZnHzsTMZXPYWttGU5vS2VSn06GlvRmLs0tYW1lHS3sL3B6lxJVlWbR2qGXKQHmSbalq++qYdm9YXX0tWqa9CBUry1L1DE/7VCsd7yBXZLlUcT9iaygY6LqPKydnGAYnnzoOl3vPeXS/ai0LFmPBUfBRA9iickAYyyTxGxf+GIuhvTgkg16P3/+5/4yjHcooK47RwVlBgryxtonN9S20dSn73UWpJEVloF1VBUpuzjVuF+7evKeQDVttFpx6+iT0FaKettd3cP/eFABQx2SHU60WYRgG/cN9MFvNmBp/eLjrzQAtrc3oO9oLs+XNxXe9FyAnfECJ1JFKKZEgL+k3Malf0FQuAIBZNOLp3DHYYIYgCvQ5IZNhlSZs9Do9WIEtOSHLkEOJXBPHY/lnkihTyDkSaTWpPJMJKrlbstFoRCaTobE9RLJcKBSo4zEh0Hq9XkH2OY6j1Vbilkyqs6lUCnq9HlarlUqKiRtyufyYZVnqikz2L6+4JhIJxGIx7O7uwmKxwOl00tg5Elnk8/mQz+eRTCaxtbWlcl7+6vpNLKfUBJRndfiZM/8cdcYabGxsYGZmBi0tLfB4PPQa6fV6hMNh3Lp1C8eOHaOxRefOncP9+/dx5coVmgf7ZkipJEmYnZ3F5OQkfD4fjh49+sQzuquo4utFldhWUUUV72nIq5iFtACjs/TftWY3PtT+HMaDM5iNVO4LTehTmLMsVnxdr9fD6XQiEAhQYtvd3Y2HDx/S/rNkMgmv14tQKKTaXpIknD59mlY5Wltb4ff7DyS28sEkIRHL8ysqYgsAbV0tWJ5fgSiKmLg3iedfflY18HG6nBWOpKS2NpMFK4FN3J2/j5PdynP0+rxo4+swWlyoeN48OIWEUnW0QwzIyPsl/5/n1W7cjMhAV9wb/BIyfdhc4qHjA6hrUEYYVSK1ALCd3oY/44c16FQujwXxiVf/CIHEXpyWjuPwP//dz+P0UXVMU43RA5ZRX4NsJouJ0ZIKgBh+Kc5NEnDzjTs4dmIINrt2PJbVZsWz73sGD+9PY2F2EWarGaeeOQGDUVuGurPpx/17UzSiJ5vJ4vqlGzh+ZkTzHACgrbMVZosJozfHKZHRQl1DHY4O9sHu0G6pkID33KBaEIR9neXln1ny+RclERP8PBb0lTOknaINz+SOwQQjREZU9WMWi0UUKtwrSZLAFTkVsRV5UdEnS4hqeX9tufRYLj/O5/OUaJJ10uk0bDYb3c5gMFA5NumxzWazit5dvV6viK4yGAwwGAyUuJKYHZZlYbFYYDabKakmfbOEQJMeWSI/JmSY53naR5tOp6lDP8/z1NzK7Xarjp1MJrG7u4vd3V0wFh6fnPp/mtf5H3e/hBZ7ycW/ra0NOzs7WF1dRTKZhMfjQSKRwJEjR2AymTAzM4Pr169jaGgIPp8Per0ex48fx9LSEh4+fIhwOIwzZ84cymSRQBAE3L17F6urqzQ7nlTAf+9Ln8ZfX/6C5nYMw+Dn/tG/xgdPvYh8Po/79+9Dr9fj1KlTb0nbTRVVVJ+qKqqo4j0LOXliWRaFlHLwpmN1OFk7APOmGdP6BWR12oNKkdmfCHm9XgSDQRw5cgTBYBCDg4PY2NhAKBRCPp+HyWSCzWbTJLYWi0UhATUajYeKTZIP+smgLpVMI7gTgrfOo1jXYDSgoaUeGyubSMQTWJpf1pQfH4ZI2MxWAMCXRy+riC2n43C8vh+fW7pWuQJ0iBzbx4VWhi2f5yGJSpMnubR5v3Po6etGW4eyKrpfvA8HDmPBUejiPLjc3s/unH8Fv/G1P0Eyt6cKYBgGH/+Rn8T7Tp1V7cfK22HgtAej43cnUMgXSqZRXnVFNxKOIhwM49KFNzA4MqA6fwKWZTEwfBR19bXgzTyMJm3H8MB2EOO3Juk25LMkFAXcvX4PR4f70NbVprmtr86Hc88/hdvX7qrky25PDY4O9sPtdWtuuwcJOTGrKEAeluwm40lsrG/iSH+P5rq5bBa3rt2peP/lODrUD2+tF6lCEle339Cc3NCHDeB31fet0iTKunEHm0Z1P3J3tAWGjHblnLxveQaxAAG3DFPY1FXOLfYVXDidOQoDp4eIPaMouUkTUJKsa6FQKIAFB5SpIkRepHmyxWIRoihSiTRpG5ATVgC0faC8mktIK4kzyuVy4HleQVbLDaiIlDqfzyOVSlEnZr1er2hjIJXcQqGgiB4yGo3UsZns3+l0wmazUbMpv9+v6NElZJv8TXJ3SUxQKpUCy7J0n0Sa7XQ6kUgk8D8f/DVSBbWXgc/gwhm+G7u7u3C5XGBZFg0NDTCZTFRSbTAY4PF4wDAMjh07hrm5OYyOjqK9vR3d3d0lOX9nJ5xOJyYmJnDhwgWcPXsWHo9HdbxyZDIZXLt2DdFoFENDQ1QZJkkS/sOf/Ff83t9/WnM7hmHwez/2cbz/xPMoFAq4c+cO8vk83ve+91VJbRVvGapPVhVVVPGehHzQSgZwhbR2ldBrrIHB349V2ya2rZUHiZXg9XqxvLyMaDRa6n+02ynZzefztE9LC+VEjgxeDwIZ4JVvuzS/oiK2ANDR047N1S0AwNz0PBqaG2A+RFRLuRS5w92E+yuz+PK9y/jYP/4x1fqtjU2oW3FhW9xVvQYAPEoD9ydFbCVIFYlt+bUkpEBuZFNexW1pa0LfwBHlMQ4wjFpNrmI3F4YluNdffHtlEr97+S9REJSTKf/he38IH3lO7TSuY3jY9U7NY6wurSLgL0klfbVezWvk3y49t4IgYPzuBAI7QYycHAZfQWLs8XlKpEQsqN5byB/C2M0JRWWcZdk92aok4cH4Q6SSafQP92mSR7vTjqdfPIc71+4iFo3D7rChf7Af9Q37Z0srsTeVUBRK/Zk6na7iBIMkSZifWcDS/DKefekZgNGejGBYBvFEHIX8wb3sUw8e4rnaZ2DmzWiwNGIirJEfbgIsGYdiUkPr3Mj1K+hyWHVuqNZhcxL6pE5N0zRyL8g+ipyAa4YJhLnKsv/2QgOGMl1gJIY6Ksvvqfw4Oq4ysYUIoMyXSNAVIUGipFD+HuVkFajslkyIInl/pAKczWaRzWZpDy7ZvpIBVbFYpO7HmUyG9g3LY5HkxlOZTAbZbBbhcBgcx8FqtcJsNlNCbrVaYbFYkMvlkE6nEYlEFGZThLjq9XoIgkCrxul0mjov2+12WCwWSuRXhRDuxGY1r/FPnPhueDg3zdJtaGig+bgcx2FjYwP5fB7hcBgejwc6nQ59fX3Y3NykvzvHjh2jEUbnzp3DxMQELl68iOHhYVp91UIkEsHVq1chiiJOnz5NY5IkScLPfvJX8Ydf/gvN7ViWxR/8m1/DR5/9VkiShMnJSSSTSbz44otUnl1FFW8FqsS2iiqqeM+DDJwKyQomQ2YdOIlDR7wF7qwLC86VitVbLXi9XhSLRczNzVES6/P5MD09jUKhgJ6enifyPg6CJEkIB8KIReJwuJQST6vNAl+9D8GdIERRxIPxKZw+V7l3eA/KAVGPr1QJHF+exnYkiHqXkrTXPsqzrURsdY88DSuZRz0usS3whcd2RJYTBXkV11vrwfAJtTx4v3gfAJgIjYFL68ClSj+5X566gj+/9QXVNj/ynd+D7/vwd2juo+SCrH7v6VQa98enIIoiWJZFXWOtxtaAv8yReGtjC9HdCE48dULVU03AMAx4To+iWIQglQj4bnAX926MKyYeyLHl5BYAlhdWkE6lMXJG7aYMAEaTEeeeP4tYJA6fz/umZMX5XB7JVAquGue+66VSaYzdHkMoFMa5Z8/uO2nD63n0HT2CybEHBx4/Eo5gN7yLGncN+muOYi25gkguolyJBbKNKZiX7BWzi+WxPS7RDk7kILDKibaQPopiukjluVoVX5ZlEUcSN4wPkGIrO5kP5rtwpNgKcFBN7pS7KbMsW7E3l9fx4AUeOZQZhzFATszBwBgOJKvlbsnl1Vy5QRypxppMJkUVWN67K3dLZlmWVmrl5JjIluXZv+QYpG+WxOcQV2WzuRSxQ/ZPKq7FYpGS1mQySXt2s9ksJElCTU0NreRms1mkUimEw2FKhk1WM373/t9oXt/nG4/jdN1RAKXoIpK329LSAoPBgHg8Dp7nYTabMTMzg4aGBrS1tYFlWTQ1NcFms2F2dhbXrl3DsWPHUFNTA6PRiFOnTmFubg7j4+MIhUI4deqUyhxufX0dt2/fhtVqxcjICJUui6KIn/6j/4JPfvWvNM+ZYzn84b/9BL7z6Q8CAObm5uD3+3H+/Hm4XC7Nbaqo4kmhamlWRRXvcgQCAXz2s5+lAfVvFrdv38bVq9qmPu81VOpVEwsSxIKGlNCyNyh35G04FuxHfVK7h1ALer0eDocDa2trlNh6PB5Eo1EkEol9K7ZvBZbmtHuG27taaJ+bf9uP7a2dx953u6fUwytJEr5y77LqdbPZhF57m+a2nCwP9UlVbCs6Iuf4QxEpMtC3O+04+dRx1fEPqtYux5cQy8dgCJogiRI+dfP/4tO3/p+K1P6T938rfuK7vldzP1bOBoNOW4I8enuM9qpKkgRvrboan0qkkEykVMvT6QyuXryG2Yez+6oAdKwOPKtHPJrA3etjmpMO5H6VX1P/dgA3Lt/a1zG5xuvatz9ZC+lUGvOzC8gX8geS2tWlVVz86iXshiPoH+yDr/bgz1tbZ1vFXuRyLM4tAQBYhsWZ2rOa5FWwFJFzZQ6ltuAYDp6iU7U8oUshx+RLk3CFAjWHAvbIX5iL4Q3LWEVSy0oMzuQG0FtsAyQoti83XyIS80KhAEGo3GOrE7Wr/nnkaJU0n88rWj8IiZRH8JBYHSILTiaTKrdkkpsqCAKVC5tMJuh0OgiCgEwmg3g8jmQySZ2h5e9Rp9PBZDLRKizDMEilUohEIkilUopzJP4IbrcbZrMZmUwGgUAAgUCAyouBUsXZbrejrq4ONTU1YBgGkUgE2WyWknhyfJPJBI/Hg9raWpjNZiSTSfzZ5BewmQqqrp+R1eM7ap+m52S329HU1ARJkrC4uIhQKIR4PI7a2lp0dHSgqakJ29vbuH//Pv19czgcOHbsGEwmE+7cuYPl5WWqsOjt7cWxY8ews7ODCxcuUIMrSZIwNTWFGzduwOfz4fTp0wpS++/+8D/vS2o/+e/+GyW1GxsbWF5exvDwMBob1f4OVVTxpFGt2FZRxduIhYUFTE5O4iMf+QgdIBcKBXz+85+Hx+PBCy+8QNcNBAK4dOkS3v/+9+Nbv/VbvylzGzOFFCTZgHZnO4CVhVX6t8FsQFt/O2rMzor7KAgFfHX+KvTbEswo9QOW987KQWb50+m0YhBOch/z6SKMDmU1j7covyrLq7eHgdfrRTQahc9XIsQGgwF2ux3ZbPZtzxze2fQjk8rAZFFWrWq8NXC4HIhH4wCA+2MP4PV5K8bAAI+IjGys3lxTT//7K6Nv4F+89J2qbU61DuJTu19R1Tjlf1cmto9X1dOSIQOA/jEybM0WM86c1zY72a9SK0kSJkLjYHIsxDCD/3X507izqq4CfvjpF/CLP6iWbQMAJ+lgN2hXORbnFhEKhunfNR6XprR4Z7uyfF6SJEw/mMVuOILT506pjIMIWIaFy+FCY1MD1la0jYjkkmQ5gYtFYrj6+nWcfvoU7A5tsihKIiCVjrPfhEMsGsf87DysNit6ervB7PM85LI5jN2dwM7WDhiGQW19LXp6uyuur3i/LIvBkQFcv3zjwHW3NraRTqVhtpjhNnrQ6+rDdEQdnZWvz4CL8WALapOncrgLTvj1YdXyiCGOuuyeE678c7KlD+GucRoio/3Z4SUdzueG4RVdKlVC+fckqcADjwyiKkiRi8UiuAqRP5yJAy/wtCIrdz0mEtz93JJJ5TibzdLtSDU3n8/DYDAoYr7I9SDHI9sRqbHcvEouPxZFkTolZ7NZ6HQ6GI1GSrTL5ceZTAaRSATRaJRWd8l+TSYTWJZFJBIBx3FUNm0wGKijs9x5OcFk8WX/bc3r9z2dL8NQ5LC2toaGhgZqPNXU1IRgMAi/3w+WZSmZ9vl8MJvNWF5exvj4OI4cOQKn0wm9Xo+BgQGsrq5idnYWkUgEg4OD4HkedXV1sNlsGB8fx2uvvYZjx47B7/djY2MD3d3d6OjoUEw2/vjv/yI+/dr/0TxfHafDn/zkb+LbHmWYh8NhTE1NobOz821TJVVRRZXYVlHF2wifz4disYhIJAK3u2SOEgqFYDQasbu7C0EQ6A90IBCA2Wx+20nP24lSrWtvEOaprcHM1Axy2UfV6RgQ2A6gaaAFR9uPaO5Dx3H4UO9zuGK5h/vjU6jP7pEA+SBdq+eUQN5rWUipia3OxIFhgfI4UFK9zekru7sSjIyMYGRkRLHslVdeUfzd3t6O9va9rM+BgQEMDAwo1unp6fm6BwmSJGF5YRX9w+qIoY6eNozfLpkCZdIZzD6cxdGh/tJ2kCpKKQm8NhcMHI+cUMDrkzeQK+Rh4JXXs7mxCYYxHlmUGc5AREEqgmd0lYltBeJVCQW9htJBBHQFHaQDTL8AQK/ncfaZ0zAa1SZKkiShIBQ0ySALFrOxGaSKKWCbx8e/8oeYD6yq1ntu5BQ+8WM/rXlsUZLgZJyaVepEPIGp+9OKZeUuzQT+rf37wnU6HTp621FEAZBKFcNK6x0/PQJvrRcTo5MoFpTPPfmMafWB53I5bK1uwTbQU5GMEvMiDpyK7IWCIcxNzyOVSuPEmeMHVml3tnYwdmeCVq7MFjNOnB7RXDeTzkBvMIDjlNfZV+tFfUPdgcoFSZKwtLCMgeGSZHTIfQzryXUkCwnlihyQb07DsGShn6PyXn9yr71F7cmMEB9FQ96n2FaChAX9BqZMSxXP0SKa8HTuGOySRUFqKxFrORiGAVdhcqtQKEDIaHsTCLygIJ2CICjifQqFgsL1WG4GRbYjhlDEgEquXEqn0zAajQqjK0LIyXbyY5FtdTqdIhKIZVkqRybrJZNJhdyYXCe5/JhUlZPJJAwGA6xWK3Q6HaLRKHieh81WmsSp5LzMcRw+Of9FFCT170eXownf0fMixKKAYDCI9fV1eL1eOBwOcBwHt9tNs3Xn5+fR0dFBz6G3txcrKyt48OABWltb0dTUBIZh0NbWBpvNhvn5eVy/fh0jIyO01/epp57C/fv3cffuXbAsi+HhYdTX701SCoKAf/N7H8NnLn5e817zOh3+7Kf+Bz50+n0ASjF1Y2Nj8Pl8GBkZeU+5l1fxzqJKbKuo4m0EiQcIBAKU2AYCATQ2NiIQCCAcDtOKXjAYhM/no5Xbj3zkI9Dr9XQ29uzZsxgbG0Mmk4HH48GpU6dgMpUqcKIoYnJyEsvLy2AYBu3t7aqBpiAImJiYwPr6OgqFAmpqamgPDgBcuHABzc3NNF/16tWr2N7exkc+8hHwPI90Oo0vfvGL+MAHPgCbzYaFhQXMzc0hnU6D53l4vV6cO3fusa4Py7JobW/B3PQCfR/5fB6L9+aRCCdw7NggjDptl9Znmk+gy9WCv7r9RTSHnTBye+sdhtTKia3WOjqzDoWk+jVO4tCYOthZ8u3GQZLd9ZUNdPd1qip8dY21MFtMyKRL1Y7FuSU0tzZXrLSVsGchpdfr0e5qxExoBclsGlce3sFLw+cVa9e4XdAzPLKSupq6KYbRxtVWvF/c40qRtYyjCjwlFvuZcXEcizNPn4bVZtV8PRaPwWrXfk2QBNwPT0IqAB//9B9hI6wmRyd6j+J3fvpj4Cs4hDIxHaxN6v1LooTR22pJcG2DWh6fz+URi8Qqvk+O43Dy/AicNSVjq6JYgMiI0DG6ioPR5tYmmnkb2Y0qz+2R6ZC837appQn9A72wWEukSpTEitJjCRKKUhE6lI6/vbmNuZl57IYj6OhuL1WV91EQFAtF3B9/gNXlNcV7PH3ulGY1WxAE3Lp+Bw2N9ejpU1dzB44dhX8ncKBD8urSKo70HwHP66BjdThT+xRe27igPp69CMFVgC6iVgwQIgYABkEPs2BEmlNKuEN8hE4wsSyLoijgvnEBy4atiufmKtpwLjcMEwylbvDHILUEbIX1WJaFTqhQzeWU35flZJUQXdLzKl9HTla1DKiItJlk2JLeWnn2rbwKTHpsSeWYKHZI/y25FuRvEjlEpNQ8z1PJM9kvcT8m64TDYUqsTSYTPX+58zKJAkokEpjOb2A0pDaMYgD8qyPfDo5hwfEs6urqEA6H4ff7kc1m4fV6EYvFaB/t1tYWpqen0dHRAbvdDp7n0dXVhe3tbayuriIej6Onpwc8z8PtdsNisWBmZgY3b95Ef38/GhsbkUgksLu7C57nUSwWsbS0BIfDAbPZDEEQ8CO/+wv4q8vaUUR6HY9P/8xv4f0nnwcA5PN5jI6Owmw24+zZs2/Kyb6KKt4sqk9bFVW8zSBklSAYDMLr9cLr9dLlxWJRQXLLIQgCZmdncebMGbzwwgtIp9OYmJigr8/NzWFlZQWnTp3Ciy+W8uM2NzcV+5icnMTm5iZOnz6Nl19+GVarFW+88QatcBDXXqA0mAiFQtDr9TSSJhgM0pia3d1djI2NYWBgAB/4wAfw7LPPHipGQGtQ1djaAJ4vydHkM+yRzTBuXLyJ7Ujl6lO91Ysfe/6fIXOERQgxeu7y/r/9HEUBIJ+qIF21fGPNAxZFYd+Bq1AUsLaklpQyDIO2rlZFBu7ko3zUSpAfQafTocvdTP/+skafLcMwFcnculi6vxXNo7jD/2xVdkQukYr9+h0ZhsGJM8dR465QOQuEYLZqu3uyYDEdeYiskMVrb9zRJLW9rR34g//wyzAatCdqtlZDaGpo0nxtbmZeRShtdivMFvX5BB6ZgWnKTTkWJ86NwOVRvkdRElAQ8yhW6KsEAIvVgmdefBrdvV2q18jnrba+Fi++8jxOPXUCFmvJNpdhGLAMq2mEJUeukMPNa7dx5+Y9ZLM5nHvuLIZGBvclteHQLl5/9ZKC1ALAsRNDcDi1lS8PxqcQ3Y1ibnpOsw/YYrWgs6dj33MFgEKhiDXZcevM9ei0q68NAOQaM5C4g3uK3XmnalmeLSDBlchcEQJuW6b2JbV1BTfOp4bBFzla9ZQ7fx8WlddlwDN6aCnyC0zJwZiQUPnnjZBDvV4Po9EInudpnA8hlNlslvYSy7cjhk8AaE6sJEmKuB7SmyvfjhhJmc1mmEwmcByHXC6HRCKBdDqt6OXlOE6RVSsIAuLxOKLRKDKZjOI3xWw2w+12U5kxUWXFYjFK2Mm5OhwOuN1uMAYOn1r6iuYVfc5zDNa0DolEqeLPsiw8Hg/cbjfi8TjW1tYQj8fhdrthtVrR0dEBk8mE+fl5bG1t0fvb0NCAzs5OxONxjI+P0/0ZjUaacfvgwQPcvn0bt2/fhtFoxPHjx3Hs2DEUCgVcu3YNW9tb+KHf+fcVSa2B1+MzP/vblNSKooixsTEIgoCnn36a9kRXUcXbhSqxraKKtxk+nw/hcJjOVEciEUpsCZEkr1cyFRJFESdOnEBNTQ1cLhe6uroUZHlubg69vb1oamqC3W7HiRMnFD26xWIRi4uLGBoaQn19PRwOB06ePAmO47C8vEzPMxQKQRRFOjvc0tJCzzEQCNDzS6fT0Ol0qK+vh8VigcvletNyWZ1Oh+b2ZjogkDtcxqNx3H39Dh7MT1fcnmd1+GdD346+s0cxp9+EIJYqIOUDOTlxk0OrYguo+2zf7dhOhRXVM62B6criKgQNAtnU2qioboVDuxX7KsvB8+XE9g3tFSvIUdeER8S2YsX28FLkIl+ExKpH3Hx+771VGrAPjgygvlE7eia6G0VBKGpWIhgwKIgFTO1OoVAo4tWLN1XrtNQ14I8/9nHYLdrV3lvzU+hv6dOU7EYjMcw8VFd5aveRIcsnd8g5syyL42ePwe3TdkROpdJ4/asXsbywovk62cfRoX6cf+6sQqrtqnHh6efP49wzT8HhdKi2YxgGHMNVlDwDJVOp4VOD6OnvxvMvP7uv4ZMoinh4fxpXL15DOpVWvNbe2YbmtmbN7dZX1rG6vPbIJEnE1KT298qRvh5NKXo5FueXFN8nI94TMHIa7ss6Cbmmyo7FBO6CU3N5UBdBWsriDfMYdnTqPlyCjlwjnsoMwKgzKHpmSQROPp+nZPcgMBWqbpIoggGj2Wcr6UWFkzFxMNY6JqnkEkkw6bUl8T7pdFphQEUIbqFQoIZQxEiK4ziaXxuLxei28ntDyLHFYoFer0exWKSuxrlcTtF/TCS+FosFHMfRiJ9kMknJcy6XQ6FQoLm0JpMJ+XwekUgEu7u7yGQyCtL8xcBNxIpqQzen3oofHPh2mM1mhMNhBIN7E1M2mw11dXV0koD8put0OrS0tMDr9WJ7exsLCwv0vBwOB/r6+sBxHCYnJ7G9vU174Ts7O+FyuRCJRMAwDDo7O6mj87Fjx2C1WfH9//2n8TdX/l7z3ht4Pf7i5/4XXjnxXOl+SxIePHiAWCyG8+fPw2rV/n6rooq3ElViW0UVbzNI9Mvu7i5CoRBsNhuMRiO8Xi/C4TAEodRTQ0wptEDMLAiMRiM1ysjn88hms1TqDIAaTBAkk0mIoqioqpJ14vGScZDH40GxWEQ0GqUkVl5tJpVmANTh8Utf+hJu3bqF1dVVxWz5ftAiFs1tTXRGn2bMPiK6oihi9cEKbt68jXS+8uDwTP0Q/tn7vhMLtUGkkTsUqQUAISdCLKoHerz5G8u8ay3tp4SmEsHNZfPYWlNXezgdh5b2UrWQbPdwclo1ONyDLO+S16GrZo9ILPvXMbOxqNqiAO2+PL8YQVbKV5aOs3vxO2SwXqn6VNE4Krf/vezp7UJ7Z6vma6lkCvNzC5pZwECpWvtg9z4KYh437zxAIqkkWrU1bnzqFz8Bj1O7Enxp8R6GrEdgtak/+6IgYvT2KCRRfQ+0ZMiCICLg33NbJdeU4ziMPDWs6aAMAJl0FrffuIt0MoOJ0UncunYH+VxlV3ZvrRcvfMvzaOtoxblnz+L5l56tGCEkB8uw4BiuYuVcp9Oh80gHdHzlSaV4LIHLX7uCuel51X5cNS4MHhvQ3C4WiWH8XkmJQLbbXN9EJBxRravjdeh/1Ge+H9KpNLY396rzBs6AU77TmusKrgKK9v1zcmsKDjCS+rne4UO4bB1FlEtobAVAAgYznRjKdlHnY/lnRi7XlZNcrcoqQSUpMpU1axBbkRdpVZZUZIkcmPxOlRyXld8F5LufmCWRbUkkUDqdRjabpZ958ltDyC4xajKbzdDr9RBFUeGWLP8eI/Jjs9lMK67ZbBbxeByZTEZBpHU6HcxmM82qzefziMViiEajSCaT9L0SKbLL5aK/04lEAsFgEIlEAgvRDXx5XduU7F8c+TBshtLksNPpRDqdxvb2tmqiV6fTYWNjA36/n95fn8+H1tZWpFIpPHz4EMlkEkCpPaSnpwcejweLi4uYm5tDPp/Hw4cPEYlE4PP5wHEcJiYmqCJLAvA7Fz+DG0vjmudp1Bvw1//hf+OlkafpsqWlJWxtbeH06dOHUmxVUcVbgSqxraKKtxk2mw0mk4nGBhByaDKZYDabEQqFEAgEKsqQAXX/5FthzEAiagKBACWx8oiaZDJJz5Hnebz88st46qmnYDQa8eDBA7z66qtvOqJIr+fR1tmqcI6Wz3YDQHg7jKuvXsNmqLKxi9fkwr97+vvAHDVhg1HGKewnQ9Wq2n6jSZHXUnsV/P0I7vL8iub2zR3NCqfRXC6HhxUqWnJDKZ1OhxqzAzWmPennV0bVVdtMQTv+RQKwLgQrV2xlGZjEObU88oQQ3krEVp5hW/4cNLc2oW9QbaoFALlcHjev3kF3n7bElAGDjJDBTKR0nV67dEfxutNqw5//0n9Dg1f7s3197T7YEIvubu39T0/NIB5TkxmD0aBpphQOhiEUlaRBkiQMnRyAr167AprN5HD7yl1k0nuTRtub27h44bLCgVl1DgYDjp0chq/Ou69TtBzJZAqTo/dx6dU3kNB4XwSiJEIQ1YRrcX4Jl7/2BmLRmGobvUGP0+dOakrXC/kCbl2/Q0kcy7L0ebo/rp1d29LWfKBhFVByqlZsZ2tFs7VFc918U1pTUQA8IlwMD2dR2dsuiCL8TBQZVjtHm5VYnE4fRWd+T8aulclMKqSENJLvA7nRklyaW9Hwi3wvaxFbnTLeh+M4SnLL44Sy2Syt5pZLluXVXGL6RAgyAFoJLifIRHpMqrmEuBKSq0Vcye8wz/MoFArUHEr+G0TMpshvOXmOCPGWf3fp9XrY7XY4HA4YDAak0mn8/vTnIGp8Ro5YmjFoaKXbWywWeL1eSJKE7e1tpFIpKiduaGiA2+1GMBjE8vIyJb5WqxWdnZ3Q6XQ0P5Y8483NzWhra0MoFMKdO3cQi8XQ2dmJpqYm9PX1wW63Y3p6GjNzs/jh//3z+Pu7r2vec5PeiM/+/O/hheE9D43t7W3Mz8/j6NGjaGnRft6rqOLtQJXYVlHFOwCfz4dgMKgisF6vFzs7O9jd3d2X2O4H0rMUDu8NQkVRRCSyV4mwWq1gWZbOzpJ1dnd3FS7MRB4dCoXg8/loRM3Dhw/pDzsBy7Kora3F8PAwvuVbvgWpVEohj94PWsS8o7sNDMuo+p6ICQ5xpRy9fA9Ts9OluBANcCyH7+r/EM4+fQaTxhUI0K5IyJFPq4mtzsThAEPgdxXkxJZAi+CmkmkENOJgDAY9GlsbFNdqdXkNQkXZYunikOpap6xq+6WyPtuCUERBrFzRXxcrE1tSsdV6b+WEV9MRWQL0Rb3mPry1Xhw7OaR53GJRwK2rt+Hx1VQ0jGLB4n54AoIkYOL+PPyBXfqa2WjEZ37pN9DaoJ3lOLEzj6+O38BHzr5f8/VwaBfzswuar9VWIKlabshDJwdQ16QtW87n8rhz5S7SZVVmoOQcfO3SdUw/mNGsGJdjP3IbjURx+8YdfO3Lr2F5cQWpRArXLt1AKBCquI2EkumUJEml/N1L1/FgfIoO2ssVGaeeOgGTWUMGDODurVEqWSbPC5lE2w1HKsruB0e0q79yhEO7qv7nU77T0LMaZlF6Cfl6teqEfDYlSVL02RZFETlBW+kAAHqRx9OpYTQUPYr9AFBE7hDTJjlR0zJfIhLifL6ygoI8C5rElhM1ncfllWOtai6J3dGq5pLtSDWXTL6VZ9/KiSg5JonxsVgs4Hmeuh+nUilFLyzLsjAYDDCbzbR/l5g+ZbNZRX8tIddGoxE6nY5We8vJMMdxsFgsGMsuYiWjnozVMRx+oOfDyGazCAQCigqtx+OBwWBAMBhEPB6HzWYDz/OoqalBY2NjyWBxcZEaafE8j/b2dtTU1GBjYwNLS0v0OvI8r5jIIcs5jkN7ezt8dbX4uT//r/jKvUua99ukN+Jv/+Mf4LnBp+iySCSC+/fvo7W1Ff39BysbqqjirUSV2FZRxTsA0r8ajUYVfbRerxeLi4sQRfFNE1sA6O7uxszMDDY3NxGPxzE6Oqqonup0OnR2dtKem1gshrt370IQBHR07Bml+Hw+7OyUMiAJ4fV6vVhbW1Oc99bWFubm5mjI/crKCgAoiO/jwmgyoq6hViGfJKRWPsvOMAyWp5Zx69ptJLPqniWCY74+/Oj7/hkW6oOIIrnvsTWdkVkGvPkbp2qbQRaxvPb7LO+5XJ5f01yvvUstx02ntK8xqdryj4itvM/2xswYoqn43rkVtau1BPv12R6UcypHXqNiqyvwIIa88ogQV40Tp8+d0OyblSQJd2/eQzKZQvdR7WoqCxbJQhLz0XkAwIXXb9HXeB2Pv/yl/47utjbNbedCa/jv1/4SP3f2B2DWIGPFYhGjt8c0DXqAffpryyYsBo73o6GlXnPdfL6A21fuIpmo/BmSJAmzD+dw/crNQ7UaSI/+RxD0B3Ht8nVcvHAZm+tbCuJhsVhgNln2jZOSICGTy+LapesIBUIVlQh9A73wVujJnX04B/+2X/W+gL3n4eH9aVWUEQDUuGvQ3Kpt6CVHedXWpDNjxHtCc92iNw/Bsncs8h7I+/LknY9ipQTk9yG1FsGE51IjqBHs9L3ICYz8vcqzXokjcaFQoJOIJC6HxPDIr005KHGrkGUr6CqfM4FWNZdhGEU1t7yCTLaTe0eQ3lxBEJDL5ZBKpZBOp1VVVHnfrNFoVBFX+fPA8zw1m9LpdNRsKpVKIZPJoFAoULm00Wik+xRFkVZYSc9uLJ/EX62+pnkNPtL6LDpcTbRlKBAIIJ0uTb5wHAeXywWTyURNssjnz2w2o7m5GTzPY3l5GcFgkH4e6urq0NTUhHg8junpaWxtbWF+fh4GgwFdXV2w2+1YXl7G2tpayWm6mMcvf/5/4e7qlOY5GnkD/tO3/gieOrIXm5VOpzE2NoaamhqcPHmyGutTxTuOKrGtoop3AD6fD4Ig0B9BAtJ/SyRObxZHjhxBa2srbt++jddeew06nQ6NjcpK0dDQEBobG3H79m1cuHAByWQSzz77rMLF0OPxQJIkBYn1+XyQJElBvHmex+bmJi5fvoyvfOUrWFxcxFNPPQWHQ20c8zjo6C5lupLBXjmplZOQcGAXV1+9hnV/ZYdQp9GOnzr3/bAMuTHHbVasKj2ugZSWDO6dRFEs4h8+cxrLhe191yMD3Eg4glhELee02Cyq3k3Syy3H3mCmVBUBlMS2KBTxtfFr9O90BRkyQViKIyllNIltpYptOUqOyOqKrT6/FxtC/hmNBpw+f5KeezkmRu/Dvx1Ad19XRZdPBgzGw2MQIWJ5ZQuLyyUXcpZl8dlf+h/o6+rU3G4tuoP/evXT+K7WV9DTrr3O1ORDpJLahJPjOHh8btXyaCSmcPntP9aL5nZtUlYoFHHv2hgSsf0nfDgdh5NnTuDcM09VvFYqSCUp86WvvYHrV24qen6B0rPT09eN5156BnaH7UDHZL2ex1PPnobNvjdpJie49Y11mrE9ABDYCWB6akb7NB+RAQDIZrKYm5nXXK9/qH9fZ2YA2FzfUki5AaDT3oVak7YZWa45DYmRFJVSQq4sgglFQUJhH4OnmqIdz6VGYBFLvxlyUnuQOkUO8v1KCC+p7jIMU9GNnMiHmYL264chtnKQc+d5nsqOiQGVvJorN6CSRwER6bHJZKLLScxOuTEUAIX8mLgkx+Nx6pJMIO/dNRgMlDyT41YiwyzLIpPJIBaL4c8WvoyUxqSeR+/AtzWep+dTU1MDg8GASCSCaDRK910sFmmG7traGiW+5Pfd5XLB7/djbW2N/h45HA60t7dDEATs7OzAbDajtbUVer0ejY2NqK+vRygUwv2pB/jh//0LuPRAbXYHAFajBX/2b38TXZ4W3L9/nxp7jY6Ogud5nD9/XjPPu4oq3m5845QfqqjimwgWiwUf/ehHD7Xc5/MplrW3t6O9vV2xTmNjo2IdlmUxMjKCkZERVALHcTh+/DiOHz9ecR2DwaA6n/JjASVC/sILL1Tcz2GglbNptVnQ0FSPwE5wX1ILlKR2giBg9I17iPZF0N/fp5l5yjIsvvPIK5j2LOKv7nwBRxPNMEBJVioRW71FB7VIEzTT12AwqIypKhlVJfkU1m3byHEH9CFLwHd2fRuabMqJCUmSMBedwUxUPVDPClkYzSzqj1tQ2MiDT+0fuSBJEpbmVjByZlj1Wnt3m0LSKpfslYMBA/2j+Jp2VyNYhqUS8S+PvoHvPP8BAAcTW6Byny33aMC+X/4sUBpQS5yGI3KZcZRez+Pss2cUE0xyzE7PY3VpDVabBa2d2u66LFhE81GsxEuO4qRaq2M5fPYXfwtHe7WJlj+5i4+/8WdwsBb8s6c+orlOwB/c15nYU+vWHFDK71nvUA9aO7X73orFIu5eG0U8Gldkz8rB8zyGTwyhsalB8bk7VC8tA9iddpC5CPkxzBYzTpw5rjCaYhiGVm0rtReYzCace+EpjN4cQ9C/J182W8wYOXlMc5t0Ko27N0crVr3lBkuSJGFhdhGt7S00poge22TEkb4ePLxf2ZldkiQsLSzjqMxwimEYnKk9iy+u/F9Vhq9kFFGsy4HzmxXXv4AibpsfoiBVJoeNeS+OZ3rBYS+7VX6N5Z+Tgz4zwJ5/g5ysSZJUsZIuiY8qwhU+0iL39U34yd2c5W0GctJJXs/n83TChRBMQm7LK9REek0+O0R+TBySC4UCUqkUXU5Mm4ikOZ/P0+OSHl8irSbqIpKhK4oiJsMLuB7S7t/+7sYXkYwlwNhA828dDgcl4/l8HiaTCaIowuVygWEYhMNhbGxswO12o6amBgzDwOPxwGg0IhAIYHFxEc3NzdDr9fD7/RAEAXq9HslkEltbW6ivr98zleQY/Pgn/zMm1rUnfSwGMz7zM7+Fk11DCIVCmJ6exsrKCsLhMHK5HN73vvfBUCG2rIoq3m5UiW0VVVTxrkZ3Xyf824EDSS0By7JYmV1BLBTF0Okh2M3acug+dyd++sV/iT8c+yws6yzqpb3BdTErQBQksJxyMLefFDmdTiOdTqsGj/sNJr1BJ1Ztm9i2BPbt3/2tid/HB9texrON5/aqWQzQ4zoCCSJu+m9C0Bj88nodEu1RmDdtMEbUCgA56d7Z9COdSquyUGs8LjhrnIg+6hvcj9gCRNbrQmQ3gmZHLVajparxq2NXaC/jQVJkoCRH1sqyZbnDEVvN/loojaM4jsWZ86dgtWn3zK4tr2N2ag4sy6JvuLdivA/LsBgPjUKChEAwgvH78zDrTfjzf//rGDiqTWojmQR+9fKfIpJN4Dde+ilNYl3IFzB2e6ziewRKWbFaIDLk7qNdaO9u01xHEATcuzaGaDgKQKmMAErtAEPHBlDf2ABWwzyIkJ2DCK7ZYsbTL5zH7MM5zM8slIxs2powODxQ0fGYZViIgoiiWNSsDvM8j1PnT+LB2BTWltfBcRxOnzuliKmSv887N+4eaGYnf65EUcSDiSmcOa92Ne7s6cDayjpSyVTFZ3BlaRVH+nsU527T2zDkHsZ4WH1P874suAgPNlsiWhkmhxuW+4hzlaXhdcUanMz00ftAiJe84luOgyq55ZJd8kxUqlLTloaidsU2z+ZhEI2an53HBZEsy03tyD+CdDqtkDMTkO1IHy+pSBNXZLK+nBATKXQmk0Emk6FVZNI7azAY6PUk/cvpdJqaXZF9ipDwmfWvab6npzxHca5pGMlkEolEAoVCATabDSQfl+d5xGIxJJNJSrCB0oR3NBpFOBxGNptFbW0tdDodrFYrDAYDdnZ2sLS0RI226uvrYTKZEI/HEQwGkclk0NLSAgEifvYzn9iX1P7CB/4VeutKLUoejwft7e3w+/1gGAbPPvuswpejiireaVSlyFVUUcW7BloSU7vDDre3hr5+EKkl2A1FcO3CdaxtbVQ8nk1vwU+d+RdoHGnFOL+kqKRoVW0PyrIlg5zDgpM4dMRbMBA+AgdXuR9ZgoS/X3kVvzv5RwiklVLObmcPnm98HlyleUoGSDclkK5LKAiIvApC/n95flVzFx09bfS/84X9yQEDBsMnBsEwjCL2JxSP4M58KV7lMBXbNTGgKe9mZRXb/aDVXwsoM2xPnDmOmgqxNP6dAMbvTZYMfHw18NVp92yyYBHMBLGeLBkOvXbpDtwWJz7zM7+OgSHtLOdkPoOPv/Gn8Kd28d3dH0Bvi3bf7uTYA2Qy+18rLeOoTDqDeDSOzt52dPV2aGz1KDro+jh2Q3umcqS/0maz4qnzp/H+D7+CxuZGTVIrBwMGoiBqytkJWJZF30Avzj9/Dk89fQYjJ4/tG+MT2Y3i0oU38MaFq0jGtSXSLMti6MQg+gaP4NjJYTic2gPs++NTiD2qSO/33JSrLLY3dxAsk04DJZLUP9hHz0ELhXxB04Sqr+YozKJZvQED5FrSkCAhxiZx2Tq6L6nlWRZGlqektrw396D3p+WsL3dHJuuTSmelfRLCqBO0I7QEnaCIE5Jn5z7Od6UWyg2oCAgZLc++Je+TSIWJwob045b34sqzbnmep8RVEARwHEevIdknyeAFSi0bqVQK2WwWX9y4hq2M2hjNyOrxzzvfD4YpZdRaLBZks1ns7u4qzJ7MZjN1c45EIvT7z+VywefzIZvNYn19HZlMhm5DKrvFYhEGg4E6QjscDjQ1NaFYLGJq5iF++Pd/AbfmxzWvr91kxZ/929/EQMsRTE9Po1gsguM4nDx5Eq+88gpefvllRaxgFVW8G1AltlVUUcW7Hl29nZqDMfkgRCGRfDRgKhQKGL8+jonx+ygKlc1uvrXzefzT578Dtx0LSDwSGxfSamLEm3UVK6tkUFm+7DCDN0fehm+3vh9P15/Z13h5LbGB/zH2e7i0cZXKNFmGQ525Ht/S+gpS6cqkM+vNINkaAzip4gB4Y2UT+bz6fdc2+GB5lKuqZaqjej9OB9o72xR9tsCeO3KlqB854lIaW0k1qZAT8v1IimbUj7RHbIdGBlDfqN3zGI1EcffGPXqMviHt+B8GpQrPWOgeACCZTGNrIYw/+rFfwdERbVKbK+bx61c+jbWYHz5zDf7lmX+kud725jbWV7XdeQlcbicMRrUE0L8VQHtPG3oqVItFUcTYrQmEAsr4HqfLiTNPn8ZLH3gf6hvrD9XLLBQFzM3M44uf+xIuXriMm1dv7Zt56/ZUniQAStLWmalZvPHaFSQTSaRTaVy7eF11rnJ0HulEQ3O95mdtdXkNK4sr++Y5K45f9lzdH3+g6QLd0FQPt9cNURRppa8ci3NLqmUsw+Jsw9OakmjRLGDb7ccV6ziybOVraOA48ByHXT4GEcre3IMgj8iSXwdCYuVVUfl3qtbkhpwocwwHRtBYh1efE5ESE8dlOeEl0TmPS3rJeQOgFVeWZRXZt+U53IS4EmMo0otb3l9LzKaMRiOdWCOOyvKeXXIOBoMBJpMJHMdhKxnE5zeuaJ7zt9adhVHQ0e1J6oAoilTmK0kScrkc9Ho9bDYbYrEY/H6/wjyKyIo3NjZoX67f74fRaKRZuOvr61SxYDQa4fZ58ImvfhKjy9pGUbZHPbXD7X3o6OhAoVDA7Ows4vH4E6m+V1HFW4Xq01lFFVW8YwjLqkUEWgNEt6eGVm0JyuMqCDQHtwuruPr6dUQTlStKnc4WfOzFH0WoPYdFdquyM7JJLcl7Ek6QxWwR39rxfvzQwPfBbdSuIgJAUSqqqrd61gALb8V3Hvl2LGz6K25bsOcR64igqNMmp4IgYG1R7ZDMMAzau1rBMAwKFdxwy3vwegeOYKj5iGIZybNNH0KKDABjfnUfo/xe709s1cRAV9CBlVh093aivatNc7tUKo2bV+6g+Cj/taWjGbZ94n22U1vYSZfiO2Yn1/Cb3/tz6DuhXYEtigJ+8/pfYjZcusYff+bHYdAwo8plcxi/O1nxvRHU1ms7p0uQ0DuoTaxFUcT4rUkEtvcmDWrrfHjuxWfw/EvPorb2cG7sxWIRsw9n8f8+90VMTT6kpGpny4/XX72E4D7RPZWQTCTxxutXMTM1q/gcFwpF3LpyG+srldUXEiQIkjLKKxqJYWJ07zpWclFW7KfsOyUeS2B5aUXzmIPHBujklbxHlyCVTGF7Ux3tUmevgyevvs6biTDuFGdRZCr3pRp1OuodUGQFJPSlqu5hSK0c5deCQC7tVZBcjT5uQlAJIWULGuvwIu01lbssa4GY2ZE+WEJ4SezPQVVesm9SWSTRd6TvlUTEEfMpAiJHJtJfSZKQzWYVxJWQWUJy5WSYOCRrVYb/1v+GZo90q6UO7298ihJkcs11Oh2cTieVIMdiMYiiCJvNBrvdDrfbjXw+j+3tbVqh1el0qK2thdVqRSgUQjgchtVqhcfjgd1uR11dHURRxPr6esnROZfGT37645ja0jZIc5hs+IUP/BBqzaXfIYPBgLa2Nuzu7tLEgyqqeLeiSmyrqKKKdwyV8iK10NmzJ6msRGr3Qywaw7WvXcfKqrbcFgDMOiN+4uQ/x9DJIdzPrWiuw1uUkrtK5lCHrdYSZLMlh812Ryt+4tgPP1b1VoIEM2eGWW/GP+z9VnxtdKLidoKxiHjnLoombanuyuKapgS4sbUBvJ5/NMg7eBDN8zxeOv8szPxe7+jkygw2wzuHkiIDwERgVrWsXEKtBQkSCgaNinueR3NrI5WRliOXy+PmG7eo2ynP8+jprxzvwzAMRkOjAEqVyw+3v4QjJzs0CbcoifjdW3+LiZ3SYPIf974ffY3a+564N0nPYT9oivwBZwABAABJREFUxfwIgoCWCiZXkiRh8u4D+LcCYBgGzS1NePFbnse5Z89WlGRr7X92eg5f+Nzf4+GDGc3KYzaTxbXL1/Hw/vShMm8BYHlxBRcvXEZkVz3ZRc594u4kZqfm9j+/R+Q2n8/j9vU7mn3aBxHccrI3/WBGswrtcNrR1tmq2K6c4JZH/xCcajoDJrv3LC/sbuNhaKNit7JZNMKo04Ete7ZCfOSxSW05yj9LpHorX15+3PLtJEkCq+GMLJa5IstNlcqrwvudn9z8SU54y2XNpI+2XM3D8zyNAxJFEfl8XrOKy/M8TCYTjEYjOI5TEFfyOrm/xIGZ53mIoohMJkMzcSVJwt3ILCai6vvPAPj+zg/CqC9l5UqShEQiQSuqRJpMHJDJMqBUbfV6vWBZFn6/H7FYjD53xWKRGofJq856vR51dXUwGo1YXF3GD//+f8T4ykPNa11jdeCPf+zXcbx7EOvr6zQbl7hGf73y8SqqeKtRJbZVVFHFO4Z4NI7d8OGqtr46L2wOm2IQU6naUg55XMLE7UmM3hlDoVjZBOml1rP48PDLmq9p9dk+iR97eTSLnuNp9dbKWCpuI6/ehrMR6FkDunzNeLnzefzphdcqVlclXkK8I4KcQ00w87k8NtfUkUkcx6G1oxkMA4iHccMF0NTSiO85/2HFsi/fe+NQUmQAmAzNq65tuRRZk0RyIkROPdh38A4cO6l2fgZKhO3W1dtIymJ1uvs7oTdUjvdZTawinC1VJm0ZO46MdFYcqP/x6Bdxff0+AKDR5sMPn1K7ogPAxuoGtjb3j2kCAIvVrFlJZvbph31wbwqBrSA6utrx8gdfwsmnThw6kksQ9iTHD+9PV3QXJmCZUv/jvrMzjyAKImLRGITiwQ6689MLGLs1DkGDsNJzlQTMzywgndLyMN9DOcElRIsQBXIvC/lCxZigvqO9KsMq+fbh0C6iGr3HNS4XapP1ECURD4JrWI4FVOsQeIpOPJsYgQ7qamdIpz0R8CRAKqiA9nMliZJCtqxlICXoBBSKBc3vSDKpcFA1l9wbso58MrFc1kzOt1zaTPaj0+lgNBoVUuVMJqOKbCNuyERSDJQ+AyS7tjzex2QyUTOpXC6HcDyCP19+VfP9POseRru5lCfNcRzMZjNYlkU6nUYmk6H7JiRaFEUEg0EatabT6eDxeGCxWBCJROD3+6k8uaamBl6vF5IkYWtrC8lkkh7HaDXjN177E0xva0+2OEw2/OEP/xp6GtpRW1tbIsKLi8jn89SIymKp/HtURRXvBlSJbRVVVPGOgWEYLM0tH3r9zu52xYDiUHmmGgOq9ZUNXHntKiKxaMXt2mxNmhEXcmfkSmZRb0aaTCq2crQ7WvER2wdgz9j2Jc+kentz+x4kCfgHx19El6sTv/1/v4h4usLgngVSLXGkfUmVq20lE6nWzpbHrkT/h+/6ERj1e32gXxl949AV21g+iaWoUn4qz9OsdB75Co7I/e19msRTkiTcvTmKyCPnZ6CU4dvSoR2Rwz766RwPPXK3lYCjrX0VnWP/6v4FXFi8XdqWYfDLz/4Y9LyaMGfSGdwfnzpUFauSDLkSZiZnYbXY8C0ffhnDx4dgsWgYGGlAFEUszC3iS//3KwrJ8X6w2W147n3PoKev+1CfBZZjcezEcEVX43Jsrm/Bv6WW+MrR3d+F5jbt3N5yyGNkgD1Jq/zcVxZXEY/FVdvqDXr0HT2iWg7syYOX5tW9tgDQ3tyFsfUV7KSiFc+tOV+Lc6lBGKFHTUFtjhXTJVFgDu57/3pQInxaKgSl+7tO0DADYwGJ26u4lpNNOcqrueX9v/JcXRLXQ9yHCbmW3zNCeEkcj5y4EqkyqeKSXNp0Oq0grvJngpBhYk6lZTZFyPCXQ7cRKSRU79GuM+Pb687T45D3TYhxLpdDMpmk50NybTmOQzgcRiKRoJMmTqcTVquVEnq73U6NtEj0D5Emx1IJ/MSnfgUz29rPotvqxC9++EdhetTzy7IsmpubIQgCZmZmkM1m0d/fr4oafDdjeXkZn/vc597p06jibUaV2FZRRRXvGBiGwc6WH8mE2v1Ta0Bc31QHs8WsSWq1Bkr7EbBEPIlrr13H0pI2sWYYBgZOHcGit+zlJFYa5D8u+QNKlVKtbawmCwYiPTBkjPuSiqJUxJdWL+BT059FKLOLj3/Hj4KHEf/tbz+PXLLywDdbm0aqOQ6J2Tt2KpFS5KAS6A16OF0OSNA+D63Ylzq3Fz/1kR+gf1+8fxOJXGW313Lc21ZK5sr7qbWeE03jKABes0dz+eTofexsKXuTG7sbwXHqn0gS77MUX0QsHwUAuA1u2M3ajrxfnL2Gz01fpn9/19EPordW26l47O447eM7CFoyZEmSNO9BNBTDwOAA+gZ6D503KUkSlpdW8OrfX8DU5ENFT+J+6OzpwPMvPwuH63CVYDkamurxwivPK3JttVDfWIeW1hZwTOV+TZZlMXxyCEcGtHuNtVBOcMl+yGv3x7RzSNs622Cza7uaMwyDzfUthSIDAILpMP6/1b/CrqAmPwSdxnoczxyhEynuvFPjAECYj+7zrp4MtJ5JSVSaPGn12AIA9MrPqZyoEimx1vFIlVan0yk+9/IqLXFsZllWsT7ZByGjkiShUCjQ/tr9qrhy4koigcj+CRnmOA6CICCbzdIqLsFGJojXgqOal+K7W1+C2+oEx3HIZrPIZrP0e4xIm0VRpOSWVIxdLhfMZjPi8TjC4TCKxSKSySSNIQKAcDhMpcNkG4fDge2QHz/6x7+I6U3tSq3H5sIf/NCvYqRngO4fKFWMrVYrCoUC3G43rFarwn26iirejagS2yqqqOIdgSAItL9pcVb7B7ccDMOgq1fdw/i4pFZ+DvfvPcCdG/eQ04ixMXLq7FedmdtX7vlmSC1QOt+cRtXWaDKCAYOBeDeyeQH5faI3AGA9uYk/evDnGA8/wO//059HNlfAlcuz4OPakloAyDtziHdEFP1wlSrpLrdrnyq19nn91Ed+AF31pV7EdC6DpaC6t9rA8ZoV8tE3Q2wN2hVbl9GlWjY3PY+VJaVh1kY+iO4ObfLJgoUgCZgIj9NlbY42zXUvLY/izye+Qv9udzbih05ouyAvL64gsBNUyWC1wOt51HjU70ULHDjU1dZpZsFqQZIkbKxt4tUvfQ3jdydo3NBBVWST2YTzz5/D4LGBfQ2CIrsRzcongdlswtPPn0fv0SOa99ZiteD46REAe268+6G7twvHzxx7LCdXrQouy7IIBkLY1pCJsyyLwZEBzeVA6XtmaWHv87QUW8Ov3PptbKe05ccMgH5PMzrqfRAce1U9b1Gb8If10UO/tzcLTVfkR9dIEIRSJTWv/b0o8iIlhlp9tXITqkrRQuWS5fJqLjGckhtfkf2QSCDyGSBOyfl8XlVxlRNXee9qeb4vifchRI84KmdzOfzp8lc02zWOWJtxzjNASSzJxM1kMgrzKLPZTN+bvHpstVrhcDiQy+UQCoWQTCZhMplgt9tRU1MDg8GAaDSKSCRC3boFVsInLnxS8zsXAGrMDvzO9/0i2rxNsNlscDqd8Pv9SKVSiEQiSCQSsNvtCAaDiEajmvt4u6HlAVFFFQSH+6Wroooqvm4UCgXcuXMHhUIBg4OD0D9yQ11dXcXm5iba29vhdDoBAMlkEgsLC7DZbGhoaKDVwZWVFRSLRTQ2NtIf6d3dXUQiEdTU1ND+l1wuh2AwCIPBAKfTSbcPhUIQRZHKpQDA2WYFb1LPwhZzBaw/2AHP8XSQQGaX9Xp9KV4gsoOv3r+K+5v7G7oQ6FgOJ1qO4rnukzDrjHR/66ub6B04ooou0SKJTS1NmJ9epCTwzZJaObY2thCNRHH8qRG4a/YGj0aNii3LsZg0L6Ev2aLZ87ZfJfcgZLM5GE3KYxofXROTaER3uhUzlmUURbFkJFNhsF6UBLy2fgWNljp87CPfj7+58jqsqw5k6pLIejOa2wjmIuKdEVhXHdBleUTCUUR3Y3DWKCtver1esypIIEFSEVQDr8f//MH/iA//yr8EAKyGtlTTqmbehFrehLWssnI64Z9FURSgY0vXuvw9E3KrcNHVqNhaeQsMnPL5WltZx/SDPYMqURLxt2MX8O9/6Ec13xuJ95mPzCFZKPWuOfR2OA3q6uSdzYf4g7ufp9eKYzj84rM/Ah2n/tlNJVN4MLEXuyGKJSJAjGDK4avzalfQyu4Lx+jAs4evsOxs+zE1+VBFPEVRpGRC67PV3NqEoZHBfWXEgiBg+sEMFuYWwTIs+of60NXTqbkuwzLoPXoEXp8Hd2+NIpMuPbMcx+HM+VOKqhHDMODAQRCFiv28Dc0NMJpNuHvtHjXoOQzIe5X34E5NTsNX51ORd1+tF/UNddje2lEoSsj9W1lcxZG+HkzuTuP3Jj+DvKB9HjqGxVBtG9ymUgU435SBLsmDBQezYIRR0CPLKbcN81HNz92TBKPxXSOWPQta5lEAIPBqAyn59St3Oy53Fy6XGMu3J+STXOdy0lMsFunzwrJs6fvrERkmJlJAqTopl6CXf/YIcSZVYXI+hKwTgn85OIHF1KbqGnAMi39c/zxyuRzNlCWVaCKBNhqN0On24n94nkc2m4UgCLBardQES6/X0/OXP2sOhwOZTIYaUXEmHj/7l7+OxYDa6R4AfHY3/tOHfwS6PGg2r8fjQTabxdraGiRJgsfjQVNTExYXFzEzM3NgT/7FixfhcDjAMAxWVlbAsiwGBgbQ2tqK0dFRbGxswGg0YmRkBPX1pT7jQCCAyclJRKNR6PV6tLW1YWBggH7Xy/e5uroKh8OBF154AbOzs1hZWUEymYRer0dDQwOGhoaqVeX3OKoV2yqqeBsgiiKuX7+OnZ0ddHV1UWfGlZUVTE1NweVywWKxoFAoIB6PY2xsDIVCATU1Ncjn88hms5ienkYgEIDdbkexWEQ2m8X29jaWlpboIDiTySAej2NhYQHJZBI6nQ7pdBrJZBIrKysIBoPIZDIIBAKIxWIIBAKYujWDTCGFnJBR/BN0RdibzUgkEjQ7LxwOI51O02UmkccHus7hnxz7IEwSj7GFB/v+uzM3gd//2l/gn/7Bz+C3Xv0z7ESD9PosLawc6lpyHIuO7jY6oCnHmzVySqfSuPb6dSzMLdBlBo2KLQC8//izeM08gV1GLSP8eoykyuWKAGCQEd3WbD0cRSsESUKqUMA+/jkAgM3UDna4NQwNtMJR44B5xwbzhq2i8Y+oFxHviCJvK00aLM+vaK63T70agPZ9eWHoKfyj8x8AAOzE1Pm0Zt6IkVq1W3GqkMFseK/aRQY78gGdfPDLMIwmsa0xKKtdgZ2AIlKnIBTxe2/8FTyNbvS1VnZCLopF3A/vbddia1WtNxVYwm/d+CzNGgaA7z327ej2qNeVJAmjt8dUxknyylM56jRkyICS2HKMDjrmcHPXu6FdvHHxKm5cuVmxmkoG0XLweh6nzp7EiTPH9yW1sWgcb7x2BQuzi4BU2teD8SncuHJTU6VA4Pa68cIrz6GhqTQAPnZyGHaHWvLNMAzujz3A3EPt+BIAqHG7cP7FszSP+bAgpJYQl3QqjaV5bTXDwLGjCgMqOTHK5/P424kv4rfH/rQiqTVwPE42dFFSC5SM3vKN2dK+JMBdcKq2y3J5pDjtCasnhYNckQFomkcBgMAWKRHT3HdZNfdxZMtaBlTl25dXZuU9uoTMEpmyPFqIEGjSt8owDO191TKbyqCAz/uvab7HD9Y/hWZrLYrFItLptMLVn+TjEvlzPp8Hy7Iwm80wm80oFouIxWLI5XKIRqMQRREWiwU8z9PfYrI/k8kEl8uFSCqGn/jUf6lIamsdHvzu9/9nDHX1QxRF7Ozs0Gfd4/FAkkrGYE1NTWBZFm1tbZSsHoSVlRUYDAa89NJL6O7uxujoKK5fvw63242XX34ZtbW1uHXrFr0WV65cgcvlwiuvvIITJ05geXkZDx8+VO2TZVm8+OKLOHHiBL2PIyMjeP/734/Tp09TglzFextVYltFFW8xJEnC3bt3EQgEMDIyAputNGgJBoN4+PAh6uvr0dDQAKD04zo1NQWO49DR0UEHSGtra4jFYmhubqaV1mQyia2tLTgcDrhcJVmiIAjY3NwsydYeRQIApapuJpNBTU0N7HY73T6RSEDIiYiuafd5Wd1m2Hxm2mtEIhDIsXK5HDiOQ2dtC372Az+I3/ruX8DT3ScOrBwIooDXZ2/hJ//2E/j/rv4NAoldrC2toVg4XB9fS3uz5kB6P1J5WKOpqYlp3Lx6C9lcFkadumILAM32Wvzyiz+OhdoAHrKrlFC8WRkygZaBlFFWxWbA4GiyC6QdNl3IocHUAM8+ubeCJMDqZnHLNo68qQhjxATbshNMscL14CQkW2PIeFLY2fIjldQyn9LelixNxLWfp//6vT8Dh9mGvKgmniadEU93ntDcbnR7L8+WmEfJKzWEeEiShCJThKBTS9VqZNcoGonhzo179F6lchl84qt/hCn/In7+n2pXa0m8z3TkITJC5tE5m+A1Kvt213f9+G9XP4OCuPcs97rb8X3D366534W5RYRDu5qvEUmy/NllWRa+Oq/mugQcw0HH6A585uOxBG5evYXLr19BOBjed135QBwoVY1f/JYX0NjcsO828zMLuPy1NxCLqgmzfzuA11+9hMCOeqKDQK/X4/S5U3jmhfNobtU2g1pdXsPq0hrmHs5j7PZERQJlsVpw/oVzqkzsgyCXvIuiiNmHs5qTUBarBZ09HaoKpAQJD4yL+HLojYpqB4dgxdPiEGx69WRaoSaHoqVEhjX7bPHW99lquyKXkcwiqzlpJvCl9QhJJf8q9dYeVrasZUJV7qBMUCwWqVOyvL+WEFdShZWfm3zfRH5MyLBWz+7fbFxEWlA/F16DA9/acI7KlyVJQiqV2nOcfiRN5nmeGkHp9Xp6TKvVSiOBAMBisUCn08FqtcJisSCXy2F3d5f2wSfzaXz8K3+I9Yi2wZrX6sInPvozaKyphU6ng9vtptJjQRAQCATA8zyKxSJ2dkr74Hke7e3tSFcyI5TB6XSiv78fNpsNvb291FSrs7MTNpsN/f39yOfziMViWFxchNlsxvHjx2G329HY2IijR49ibm5Ocf2tViuGh4dht9vpGKanpwc+nw8WiwW1tbUYGBjA+vrhIwSr+OZEldhWUcVbjOnpaaysrGBgYAButxsAEIvFMD4+jpqaGnR0dNAf1IcPSyYtpKoLAH6/H6FQCA0NDbBaS/Ee2WwW6+vrMJlM8Hq9dGC/tbUFQRDg8/no9rFYDIlEAg6HgxpRGI3GklSJ42C1WpHwp5GOajvVutudYHjQkHugNLjI5XJUGkUGfa3uBvz0t3w/fvt7fgHP9pzUnOWXQ5BEXJy7jZ/820/gd177c0zPqiXNWoNznU6nyI88CI9LOP3bAVy+cAXx3aQmSc8VM/CYXPjlp38cLf1teE03hiwOL3GshJzGYJnI5wgcohXtub0B/mx0Gc83PotnGs7uO6GwW9jFqOs+Niw70KV42BddYHMV+hMZIFOfQrIhrugNJKgsRS4dn5ialKPO5cV/+u5/o+kebOaNGGnoA6fxsyQ3kKrkakyek0rGUYTYplNp3Lp2h8bFhJIR/NLf/y4e7iziZ777h+B2aPeuMmCQF/KY2t0zEGqxtiiez1gigf985ZPIFPcmKPQcj489+8PgWPV7jscSmHmgzuqVv6/ySmlze6Pm9ZNLnnUMvy+pTaczGL0zhtdfvYjtA9yF5SCS5OHjQzj37FmYTNoTP0DpOl+9dP1AJ+VcNofrb9zAg4n913N73ZrLo5EoJkb3qjSba5u4deU28nnt50Cv53HmmdNoam2seKxylPdyF4sCpianNdft6e2GQRYRJUDAHfNDLBg2NNcHgEFPL76r5oOwRi3g4tpV9lxzBhIjlSq2Gh+/t7rPVjNWqyyjmAGjKUeWHvXYqpaXEd1KvfuE5GpVY/dzW5avK//tItFA5SZhcjJM9k2I5n5kuFgs4sHuEq6Ftc3F/lHdc+AfqSdIhZbjOFqhJfsl5lUAFISZeFEQeTRp4QEAg8EAh8MBSZKwu7uLrbAfP/UXv4bVsDqyDQAaXD58/B/+JPQCS+ODzGYzHA4HQqEQtra2IEkSWltb4fV6sb29jXi8NClltVrh8x3sxi6XK5PfL/kyo9FI32M8Hofb7VbcK4/HQ6u5BGTyXg6/349Lly7hC1/4Av7u7/4Ot2/fppMXVbx3USW2VVTxFmJnZwcPHjxAZ2cnGhtLA6lMJoN79+7BZDLhyJEjlHTNzc0hlUqhs7OTOpfu7u5ic3MTHo+HfrEXCgWsrKxAp9Ohrq6Obh8IBJDNZuHxeGiPSTqdRiQSgcVioaRY/oNBfpglScLG1A4KOfUPAsuxaBtuohVS0msLgM4ql6O5ph7/7uXvw6//g5/G010nDqwciZKIS3N38NFf/3EUhcP9KLV3tioC4/cjrm+miprNZHHz8i1Ao7KZfTQrzzEs/knfh/Evn/4uXLLdxwYqV54OdcwKskyjqfQ8kOvYmWqCWdgjFf9n4Ut4qfl5/OvB74fHqE0AgNIge9WxgUnPDHJiAf8/e+8d38Z93/8/D3sD3JvipkhRErVlSZZkW/JInL2TJnF2mrRpm52m+bYZbb9ZbdI2/X2zRxMnde3EiWe8JNvag5KoTXFvggRAgNjrfn9AdwR4B4ryqpPwlYceMW/jcLjP5/Uer5ejtwBdMH8JaawgwgXxHHPh6yu51mq1nDt9XnXdB299C2aTkhCZ9SZMOiNNjhrFunPuK8Sulm9ei9jaKtRLTQuNBcRjcQ4/e1TOtg15x/k/D/4HY7NTNFat4EOvepvqvlK29pz3LPH01Z48jZ4Ka7m8TTQS40tP/4i5WG5G44Mb3kRdgZJEpdNpTh7rkvtp8yE7U1pQXED7GmW5NmSIreYapDYei3P29Dkef+QJhgaGr/t34Sp0sfOWG6lvqlt0u+GBYZ56bP81s8DZ6L3cyzNPHSAUXLpidjwW59ihE6QX1OR7pr0c3Hco77E0Gg2dm9bS0t685HMtJLcjQyP4VDy4dXod7asz31FMiHPQ2s24fibvcXdXb+Wv172XttaVCAgYRiygoo0jGtMkyqPoRR3OpNK/2KsPkMqjVv5CIN/vTrFdUhl0SenmS3ulthm142ULUeUjutdbtpxNVCVrIGkfKYu7MEMrBWyzq5OkHtscFWgpsKvV8Kvxp1Tv2wZXCx32eiKRiEy4BEHAaDSi1+tl8SgpiJWtYREKhQgGg8RiMQwGAxaLBZPJRCKRIBgM5oibOZ1OAvEQn/nvrzPsUffBriwo5dvv/AJN1fXo9Xqmp6fla3I6neh0OuLxOBUVFRgMBkpKSrDZbPT398sEXI1gqn1Hiy1bSvXUQiwUvwuFQjz77LM4nU62bdvG3r17WbcuIyr3XDUulvHHgWViu4xlvEgIh8McOXKE4uJimpoyPXuJRIKTJ08iCALt7e3ywDk4OIjH46Gurk4WgJqbm2NwcBCn0ylHSVOpFENDGY/RyspKeX+Px0MgEKC4uFguVY5Go7jdbsxmsxwtTafTeDweRFHEarXKE4BYLEYkGGGqR30CZnaYKFrhyij3Xh3gjEZj3gFKFEUikQiVzlL+Yvfb+eYbP8Oulk1ohMVfOSPT4/z3vgcVy9XOYzAaqK1XkqAXEqIoEvQqJ8fRVDRngrOmpJV/vukTuCvDHNNefs4TTLXyRsgozkpl6aIookXLquC88E4gPsevex+m3rmCv1n359fM3gYNIU6XXGDc7MY24MToyZ95S1jjPDryCP6YP2e5WtZWOqdOr2N8dIKpCaXqq0ajwWlTWqNY9Jlr2Fy1RrEunk5wzp3pfVazepKWl5QWYytXJ7ZOvYsjB4/L1lKnRy7yxQf/k9lwJhvxlfd9Ar1OSfIle59IMsIl33yWrtpWLSvyJmJJfnrgQUbDuYGNtWWtvGXV7arXc/lCD36fPycrm+/3ZDKbWLdpLVt3bcpLMDSCFn0eUptMJrl8oYfHHn6c3p4+BRG8FgQhI+a08+Yd2B1KUiUhFotx7OBxuo6fXrStIN/nnPXOsu+xpxkZyp/dlCCKImdOdhMOqZdGhuZCHHzqMF4V8imhpb2ZdZvXLkkxWU2B++xp9QxdbX0t2kI9z1hP49XlV4B+Y/MreHf7G9FqtLgKnBSXFKFL6TBOqnsMJ0pjpMxJ1T7btJBmVp//XM8X6hlb5XOklrFNXxWPylabljKQ0r98x1+M6C6lbFkq95XOqdZfu/D40rVIxDU7ACxle7O3f3z6JBMxZTuBUWPgbbW3YDQa0Wg0xOPxHPEyvV6P0WgklUoRCoVIJBJy5lYKbku+vVJllF6vx2KxIIoigUBAPt5M0MeXHvxPJgLqwdVyRzFffNVfUuIoRKPRUFhYiCiK8nxA8scVBIGZmRn5v6uqqtBoNPT396v22T9fOBwO+RokzMzM5KhDS/cqG8FgEJfLRWdnJ0VFRXKLlySWCSgyxcv408AysV3GMl4EpFIpDh06hEajYc2aNfKgePr0aaLRKKtWrZLLSycmJhgbG6O6ulpWRY5Go/T19WE2m3NUkUdGRkgkElRWVuaUGnu9XlmACjITWalPRnrRS6VKyWQSl8uVUw4VjUYxGAzE55L4J4Kqn6mg2oHOosnp/1GDRGohMxiJokils4SP7Hob33jDp9jdvDjB/bf7frzk+9zQUi8TvhcDgiCQCCnTJyJpOXMnwWW08w/bPsqG1Wt5RH8MP0vPPEnIl7E1moyKSWRR0kVVdL4s7OD4cXp8/Ri0Bl7dcMc1s7eiIDLkHOVs8WVw67CM2/KKSsWEGI+OPMJ4KLu8Lf89lyYh3afOqlozJEQl6ZGI7bb6TtVjdi1SjiyKInaHjU3bNuCLK4mMWWvmwomLcoZtX88xvv74j4leLRm+ad0NvGLrTarnlTxEz3rOkLx63Ro0VFszWdhUIsWRo6d5yncq9/PoTHx+54dUn3Wfd5aei7lCRwsn1QBOl4ONWzew9/abKa0uUazPhhqpzYiyDfDYw09w4dxFEkvsYc+GzW5l5807WLmqdVECODkxxVO/38+4ih3OQiz2e00mk5w82sXJo12LZl4EQaCjcxXFeUqUISPYdOTpo4yPqJdlAlTVVrFl5+ZFxa8kZE/sBUHAPxtgZFDZ03fFN8CjwsG8gk4aNHx4zTu4s+GWnO+sqTUTrNJO69GEVNoEBIjXhv9X+mxVe2zVMqpqpcg6MccnW9o3O0u6MJv7XIluvrJlQGEllJ2ZzRYIkwSkso+rRoYTiQSTYQ8PThxSXCvAq8tvoNDgkHtodTodyWRSztBCJttqNmcClxKJlcqNJSKbTqcJh8PyNWm1WiwWiywOOewe41O/+hrjs+r2UTWFFXztLZ/GqjMRDGbGd51Oh8vlIhKJMDMzQyAQoLCwkPLycsLhMG63W96uurqaSCTC6Oi1A07Xi8bGRsLhMKdOnSIQCDA2Nsb58+dpaWmRvz+j0Uh7e3vOfmVlZezZsyfnO25oaODWW2+Vx5+qqipuvvnmF/yal/HyxrLdzzKW8SKgu7sbn8/Hli1bZAJ75coVPB4PHR0dciTS4/HQ19dHSUmJnJVNJBL09vai0+moqamRidvExAShUIjKyko5mhsOh5mamsJut8uCCpLggxSVlfaXVBWdTqf84jcajYTDYblnCMAzOIvRrsdkU1rvVHdU0H9sBEG8Nqk1GAxyNFnqDSp3FPPBG9/Mazv38Lvup3i65zgpMXfyen7wCo8ee5rbN+/K2KtImUcBpme9FGf1QFrNFlrbmpkcVw7oz1fISbpug0aHVafMUqXSSQQV1eQ3NN/GxrIOfn7hQTRhAzXpEvkzSLYO+ZAvY7vQBklCa7iOaYOPuCaBiMgvLt3H323+a/RavZy9fXToSQ6MH8nbFxs0hDhTcpHauUpKhgoI1cyBVrltIp1g39hTbCzdRKurNXNv8wTvdfrM0BIOhem5eIW2jpXyurSYzulBlWC+KtTVVtyAUaMntkBgqmsyl9hmTzzNFrNsA+OJqmROkgYmxjOqn/eeeozfnH5CXqfVaPnHD3xK9XNI9j7BRJAe/3z/d4W1AoPWQDqV5sqJAe5zP6PY96Ob306VXdmPlkql6DrWlVfRW8o8N7c2UVZRhiimiV0NouTLwmtVhKJGh8e4cO7idZX2LkR9Yx2r1rYv6oGbTCY5d+Y8g31Dz/k8akglU0v2zu25eIVL5y+r3tN0Ok3X0dOEQmGaV6qrXRcVF7Ljpm0cO3g8j1haLqTrSqfTnD97kYqqCvmZPzZ5hu+dvZtkWj2IoE/ruCG6ms6CVYp1ZRVlmC1mQsEQxhELkZY5RfohbU5jLjCiS2lJanKDRjOGWVquffnPCWoBmqWWIgOkdWm0CZXe8Cx1+4VK5wvLjBeeb2HgQ01oTdpX2lYqvc1Wr84+n0S2pcyyRJazs7jSfolEgl+N7SOuEqirNhWzs2AN8XhcHlulzK9Ufiz55UrnkISxpPYEKYCs0+lyLIGk7K3JZGLMM8nf/ebbTAfVBehqCiv45ts/S6HNxdzcHIFAQBaxMpvNmM1mIpEIFotFDoIXFxczPT0te+RaLBbKy8uZmJigtLSUmpoXrlLKYrFw44030t3dzWOPPYbBYKC+vj6HyGb3Hi9jGdfCMrFdxjJeYExOTjI9PU1nZyeFVz1RfT4fXq+XtrY2SkoymZdQKMTU1BTV1dVUV1fnCEDZbDbKysrkwXR6ehqfz0dpaalMiqPRKOPj45jNZgoLC+X9p6enSafTFBcXyxPSYDBIKBTCbrfLpFiKHEOuX2M4FGaoO07z1no0C6L0BpOeqrYyxi8oiWQ2qZXKqwC5DzabaJY7MwT3NWtu5nfd+9h/5XjGh/IqvnXvD7lj827MWlvORKW2WEkwO9esB2X16v8qVhY285Udf6NYnkqlePDBB/OS23gsrlryaMpDbA2inpWherrtGdI1FZ7h4cEneU1jpvxVyt6uLmrnniv3MxNV73kUBZEhxxie+CwNgzWkaqKkDcpsmYjIcfcxAnE/W8puULj4CoIAIuiziFDv5T5qVlRjs18VPlMhtTCfsdVpdKwqaqJrOlec59LMAKF4BKvBnDPJ0ev13HDjZkxmE/FUXPaXzUbKnyaZSvK9A//Dgb6unHXvvv31rKpT77WUsrVnZk7nWPfU2msQ0yL9p4Y55D7HRDp3Urm1eg2vXameKbh49hJzAZWqCAEqKytoXtlMYVEmeCOK4tXKgKuT7zzENpt0TE26uXD2ArM+v+q2S4HJZGTdpnWUVSwuFOP1eDl1/AzBOfUqj+cKm93Kus2dS9pWEARa21tkz9t8pcmXz/UQDoZZvb5DdZJstWcUk08cPol3Jn/5crY6MmSCUT2XMsGbRwf38989ylYKCZa0iW3h1dhSFgZ6B3ICPtKxG1sa6O46iyaqRT9lIlGhDHalKmIUDjtxa3Kfu6AuTEyIYxQNin2eL9QytgvFoyC/l21an1IlttlYSF4X9mVeD9GVMsDZ/529Xsr6ZpNhiWBKx5eywgvJsLTt+fAQ5+bUrZ/eWXsrBp2eVCpFNBqVW3ekY8TjcWKxmJwJzu61l0i1RGClnlzJ+i+VSmE0GpkKePi7+xchtQXl/N0dH8JlyQS9bTYbiUQCn88nz0MSiYRsNZRKpXIyuWNjY5hMJgwGAwUFBYTDYSYmJujo6FD/AoGbblJWvtx5552KZW9+85vl/y4tLWXPnj15j7lp06a865axjIVYJrbLWMYLjPLycsrLy3OW2Ww2RZSzpKSEuro6xf4rVmTUftPpNFeuXMHtduN2uykoKJD7RZLJJOPj4+j1eoqLi2XSODMzQywWo6ioKEdAKhAIYLFY5P7bdDrN3NwcgiBgsVjk/h5ZWTKuxzPgo6RRaYthL7HiKLcRmJyfzEqlU0AOcYb5HiG1SHyJvZD3bX8Dr1l7leD2HCOZTnHg7AkuDPaysWndddz5lz8k24PFsraxaAzTArXZhX9noyJezHjczcxVVdTHhp5hY9laqmwV8jZS9vbhwcc5OHE077GChhBn9ZepGa/AUWwiZVPPOl2evYzTUMDqotWq66XsFWSejTMnu9m+exuQsShSgznLWumG2k4FsU2JaU5PXWJ7zTrZ8kej0bBlxybsjkx/lTemTkjEMHz1sR9yfqI3Z7nTaufz7/wL1X0kwajZ2Cz9gT55eYm5BIvOwsCZESampnkmluubaDdY+dyOD6gec2baQ++VvpxlGo2G2roamlqacvpXM6Q2lpNpV+0tvppV9nl9nO++wLQ7v1DRUlBZXUHnhrUYjPnJUcbypkcup5ZIwwvREqDVadm8bZOipw7U+1wlFBYXctPeXZw+eYaxPKXHI4OjhMMRNm5V9901GA1suXEz3SfOqh4jm3hko+fyFY6ku3lm8ljez+VK2tka7sAkZrJwg/1DtLQ151jSANTW1XDx3CUS8QR6t5GkK45oXhBk0oDDbsatUunsMcxSGbu2cu31Qu2+L7T7gcUzttcLtYxs9vUsRnQlYirtl72t5CMvPU/Z22UTV51Ol1MynU2G42KSX42qC0btLFpDo61KPo6kY5Fd9mw0GuUxN9uyTKvVotfr5QytJDIllTNLSs1jvim+9OB/MhNUf+fVl1TzT2/4OGI8hd/vp6CgAEEQcDqdeL1evF6vTLSLiopwu91MTEzIPbWlpaWMjIwwPDwsWw9WVFTg9aqT6GUs4+WC5dz+MpbxMoUU1R0fH8dut8tWQZJXLWTIsTQx8vl8hMNhCgoKcuT0fT4fRqNRVkWWRCckASmdTieXDSeTSbk8anZ8jqBXnYCVNRWhN2fIy0JSKw3kCz8L5Bf+KbYV8L7tb+Bbb/4ct7ZvR6/V8Ysn7n8+t+9li3SekuB5mwcl8ctXigwZYtMeakQrZvZPiSn+6+J9ORlGyGRvX9v4St636h0UGl15jycKIsP2cQbnpkh78wuFTITH8l4R5KpYzkx7ZEGgSEK93FrK2AJsrFSWacJ8n610rzZsWUdR8XzwxatShgxw9zMPK0gtwKfe+kGKneqeplJ29PRMVw65XGGrZfjCOJ4xH8/EzhJZYPP08RveRbFFqRyaTCTpOnZKbk3W6XU0tzZx6yv3sm5j57VJbZ5sbTyW4Oih4+x/4pnnRWr1eh0bNq9j87ZNi5LaucAczzx5gMsXemQy8XxEZRbut27jWhxOh+q2506fVxUkkz+DQc+mGzaybuNaBWGU4HF7OLjvcN7MrlarZd2WTprb5suWs7N/C8lWkhSHTWcXJbXV6VJ2hNZiuppJFUWReCzO6LDyN6TT6ahryAQ3BVHAOGJRbWd3OpVtEAAzL1Kf7cLqHVAvRdYukrF9vpAymdK/bCymuJwtIiX9LW2f/RmkUmA1ex+dTpfzDPxu4hDehFIt3qY186qSGxQKy4CsrCxBEqaCec9q6Txms1kuQZbsfSSy7Y0G+IcH/iM/qS2u5v++6ZMU2JxyljYUyrQkaLVaHA6HTNKLi4sxGAwUFRURjUbxeDJVPTqdjoqKCmKxGBMTE/K+ZWVli35Hy1jG/zaWie0ylvEyxuTkJGazmdLSUjmiOzk5STKZzPGqDQQCBAIBuR8GMoOo1+tFp9PJ/beS+mEqlcJqteYQTlEU5QFc2nbozBjJuLoFUMXKUtKiktQunERIAlLSeRaW8mWjyOriPTe8jm+96XMkg8/fF/bliIPa8wSZT7Us7O1S67NdLGMLmRLHpnCt/PdgYIR7ux9V3bbV1cwHO97JlvL1ix4zaAjRkx4mMB1VncCGEuq9m9L0NztrC3D+zAXC0Qjh5LWJbWNhDXa9Uhn25OQ8sV3duYrK6oqc9fmI7fm+PsWyhspaPvTqd6huL2VrZyIzDAeH5eVOg5PQcBT34AwTKQ/dyf6c/XbXbeLWxu2qxzx35jzhUBijyciq1e3c/spb6Vi7SuEFq0ZqIT+xffrxZxgfzS+OtBQUlxRx0627qalbvHeu/0o/+x9/hlnfrOKaQd3m41rIfrYamuuprq1W3W54YIS+K/0cfvYIZ0+fW1TZeUXDCnbv3YXTpU6Qg3NBDjx1CJ93Nu8xWle1sHbjmpyeyoXvrKgQ54D1NFP6/FmsvbU38uGOP0OXVbgv/eb7evpV92loqpffk9qwDt2MMtBg0hkwa5XLPYbZRXymnzvUxZzUSpFfuIzttZBNche+o64lQrWQuGb30WbbBi0sjdbpdEzGvTw106U4LsAbK3di1WUseaTnRcq2StoAsVgsp49XuqaFxNdgMGAwGOS2oXQ6zahvkr/7zbfwhtRbDRqKq/n87R/CZrTIxzCZTIRCIdkPV1JflgSwAMxmMwUFBfh8PubmMoTdZDJRUlKCz+fD5/PJx/tDxD333CMnBK4H586d47HHHnsRrmgZLxaWie0ylvEyhhQhlSZW09PThMNhOcoKmVJjr9er8Kr1eDwZaxWnUyauUsmxxWKRMxqJRIJoNJozeZO8apPxJJOX81kAGSmozkwcs61/FtoZZB8zm9QunIhk/11gcfDKjl0vxC182eG2tht5xHScQc1UjriJBLWMbb4e22ysiFbiSM5b3dzX8zAj3knFdoKgwW5wsrd2F+9ue/M1s7djGjcj0zPEErliTqFkPlGizHesX0BsY7EYTx85lDdja9bNf0aNoGFdudKvtd83ii8SoK5hBQ3N9Yr1aqXIkUiUuTlldu6f3v8pDCrlrpK9D8CpmZM561wRF5N906TFNI/Hcie2BSYHn9r2XtXPNjUxxbR7hs4Na7ntlXtpaWtWLYXNR2rzweeZVX1elpo91Wg0dKxdxY6btmOxqlvMAETCEQ4+fZjuU+dUVa5hPlD1XEVeCosK6Virnqmf9c7SfeqsfOy+nn6efurZRXt77Q4bO2+5kcbmBtX18Vicw08fYWJU+RuRUFNXzZYbN+X4ZUsIaEI8betiVqd+DQICb2t9De9oey3VNVUUlxZnlmdlCgP+AO5JZQbabDFTVVMp/22YMCPEld+py6zUHEhokszpXngFKUHVZkpJVgVRQEipkEn9i+stmk0U1Xpts59L6b8XKitL1kHZ20oEV7YNEkV+MfakauVNi62abUUdcnBYstOToNPp5PLmWCxGMpmUr09yKUgkEjLxlfYxmUyIosiV8QH+9r5/zUtqm8tW8E9v/DhOq51QKCQfQ1JQnp2dJRwOE4vFcDgcGI1GZmZm5Gu02+1YrVbcbrc8jjscDux2OxMTE3IQ++WISCRCV1cXDz30EPfeey8PPPAAzz77LFNTU8/ruK2trezatbS5yDIJfnlgmdguYxkvY2QLQHm9Xvx+P4WFhXKvbCwWY3p6GqPRKBPYdDqN1+slnU7jcrlkAhuNRonFYpjNZrk0KpVKyarIZrNZVmyMxWKk02mMRiMhb4TZcXV/xLLGYgrKnPJEemGZFcz32maXcS2W4XmxrHteLthUvpr/u/sT9BW6eUboJi7mEsaYSsZWUshcDBoEOoJNSK4aVruRv7rnq6rbGrQGdIKeGnsVH+j4s2tmb0PaCAP+STzBOfn7iaVieZVfAVUlXf+4l+7hy6rbm3TGnO9+c5V6/27X5EUamutU13kiSnEs95SS7L5yy03csXW36jEkwajJ8AQT4XnrGiNGfOeDpNNpupMDTKVzj/uZ7e/DZVL68yYSCURRZO8dt1DfWJe3RFYSispHatXIar6y3KX8hpwuB7v37pQtZvJhbGSMpx7bz/SUuj9mNq7lx5sPRpORTds2qr4P4rE4xw6fkEmAdGy/z8++x59meGBYsY8ErVbL6nUdbN2xRbW8Op1Kc/JIF32XlRl9CUUlRWzbvTWH+E9rZ3nWdpqIRr1fXK/R8dHOd3Fb3U552erODplgZb8De3vUz93Y0jivS5AWMIwoAw8uo7pn84ze95y+h8WgUe2xzdNWoVKOnHoBSpGvB2qZ3GyCm50pTaVSCjIsZXElSCJSz06foS+k0n+NhrdW3izfd6kvNp1Oy5nS7GPn+JJfPY9UmpxKpeQMrXTd7pCPrzzyXdl3eyGaS1fw5df9NXazTSbC2eRWCnpHo1EsFkuOCrLb7ZYDz5KTwsTEhPx7Li0tRa/XMzw8nBO4frkgFArxxBNP4Ha7Wbt2Lbfddhs7d+6ktLSUri71zPq1IAVKsj2Fl/GHgWViu4xlvIyR7VXr8XhwuVyyEXkymWRqagqdTierIouiiM/nI5FI5JDabCEKiSCl02lCoRCCIMg+epI6o6S6KE2M3H1eYiHlgCYIAlXtZWh0mpyotkRqs0uxpOvLFpFaOJl4vqR23759nDp1Ku/6UCjEPffcI5dV/W+h2l7ON3Z+iobGen6rP4xHmJ+s5POyNZmvPbg6UjbqohnREoNex5GR09xz8veq25p1mYmyXqtnb+0u7mp7Cy59fjN7URBxx3yMBKaJJTNkPKyStfXFvCTSCUUpMoBZb+JXzzygenyLPrdncEPePtvzqstjiRiBuHLS557O/a5XFFbynb/8kuoxJCEmgK7p3AmRZlSPgEBYjPJs7GzOulc03ciNKzaoHlOv11NRWbEoyRBFkUQ6jkierFaexe7Ja5NNBQRoXtnErlt25u1lBUjEE5w4cpLjh0+SiCfybrcQ19tvKwgCm7ZuUJRkQ+a+ZCsdLzx2Kpmi6/hpThw5mRNUW4jyyjJuvnU3JWUlqusvnr1M98mzeX1zbQ4b22++gYIiFyP6KQ5Zu0kI6kEdg6jnE2s/wMayXKl2p8tBXcMKBdlyT04T8Ct7NQsKXRSVFMnltLo5PTpvbpbfabSqlqh7DLMyacpXjnu9UFVFzvO+VhOQejFKkZeChSW/+caZbHGo7PUSwdVoNASTEe6fOqh6nj3F6yk3FOQ8hzqdLqcySiLQ0jgoXUs28ZU0LyBDQpPJJIMzY/yf334bf0T5nAC0ltfzuds/gFGbeT6kDLAkWiV9PqnyQBqndTodBQUFxONxWRRKq9VSUlJCIpGQCa9Go6GsrIxEIsHIiNK3+X8bJ09mKmv27NlDdXU1drsdp9NJa2srt9xyi7xdLBbj4MGD3HfffTz88MM5pclut5t77rmHiYkJHn/8ce677z5mZmYUWVi3280TTzzBfffdx29+8xuefPJJQqEQAwMDXLhwgdnZWe655x7uueceBgbUFbOX8eJimdgu448a0svqxY4yvpiESTJLt1qtsipyKpViamoqJ8IKGQIcjUZzvGoTiQTBYDAn8pgdzZUytTCfTV04GRLTIhOXplUj9HqTnrLmIjkzm52py1abXOhXuDCS/lJkas1mM6961avk+/i/CYNWz5+vfSt/vvltPGk+zTnNICLqPbYARtPifbYSmsI1mFOZ77mk0Mmn85SuaQQNpiwf3mp7JR9Z+x7adM2qYjUSQskog/5JZiIB1T5bjaDlkaGHEVXsgoC8JMmsNyIy/4xU28soMStFmE5OXFAsE0WRZ48dVPXVzc7Yrqpo4kd/+X8pKHSpXoOUrR0JDjMTnSeNQlJA78vc02diZ4lmCUaVWYv4q63vVD3eUiCR2nQe9hqNRFX7SUPBMKG50HWRFovVwo7d21m1pl1WllbD9NQ0T/1+n6q40bWwmHKxGtrXtMllugtx+UJPTqlu9vsjG6PDY+x77Gm8nvzvX5PZxPZdN9C+pk2VpA0PjHD80EmSiTyE1WDAUxPipOUSoqD+A7GmzOwKriM+qiJXDKxc1aoa8Om7kr/XVrqfGo0G47gFEvPXrtVocBiVIlKzujmSwtXS2ays3/MhuIKaj+11ZGzT+tSL0vt7vVCzFMonNrUw8Ppb90FCKeX7ucjg4FWV23Iql7KrkqQxUSLY0neRXZYuVUlJ+xiNRjQaDVcmBvnC/d/GH1EveW+raOSLr/0YDotdLm+GeYIcjUaJx+OEQiG0Wi0mk4lwOJxjzed0OpmbmyMYzJxDsvcJBAL4/X78fj9jY2Mvy2qqWCzG5OQkTU1NqlVC2ZVO58+fp6amhltvvZWKigqOHj0qE38J3d3drF69mttvv10xT0in0xw8eJCSkhJuu+02brnlFhobMxUvNTU1tLS04HA4eNWrXsWrXvWqF9TvdxlLxzKxXcYfFa6VsftDQzKZZGJiApPJlGPr43a7SSaTFBUVKbxqrVarTGBTqRRzc3M5pcYSqU2lUnKmFuYVG6UI88LsRdgfYfxypl9FJ+gxas3yv7KqMla01lBUVERBQQEulwuHw0FBQQFFRUXy3y6Xi4KCgpx/RUVFsorziwnJpiH7M79Y57kebKtcx7/c9FlmS6I8pjuJP6oelV9KxhZAi5ZVoYyia0mBA/ecl8/95tuq2xo0RrTCfHZFoxF464bXszW+AVMy//nSiEyHZ3GrlP5adVa8MS/9jl6SZiWJLbK7VI8piUdJk19BEFSztuPBaSaCuZnKI4eP8/0Dv1I9rtudyUTsaFzP51/5IVavbVfdThKMEkWRUwuytYYZM4IoMJaa4WxyPgovIPC3N34QmyF/f2o+0SdYGqm9fPaKaj+ue8K9JBIpra+tr+GmW3dTXFKUd9tUKsXZU+c4+PRhInkCLEuBFBy7FiqrK2hubVJdNzkxxaXzyrL1fJ85HArz7FMH6Ll4ZdEJeMvKZnbetEPRU6zRaPC4PRzaf5hIOJeYJtMpfnrhPn438ETe4xYmHewKrcOaNjPQN0jAr6weMBgNtK1qVSwfGRpRTLABKqrKMVvM8wHHtBbTeO51u0zKPltREPHq54NZ2cJXz/Xdp6aKvFB5Xd5WTUBKA6L2f48Y5VO1ziagioBuVhb3SnCUg171apG3Vd2MUaPP6c+VbHwWnl8qaZaeY8neB5CdCSDzux31T/GPj36Xuai6nsHK8gb+/tUfxWIwodfr0Wg0RKNR+bySYJVEYh0OBzabDYPBgNfrlc9ltVoxm814PB4542y327FYLLjdbqampjAYDFRVVcnilC8XSGRcqmRbDHV1ddTW1mK321m9ejXJZFJhX9TR0UF5eTk2m01RgizNkSoqKrDZbDgcDurq6mR3iWxFa0nVehkvPZbv+jKW8TKG2+1Gq9Ve06s2Eong9/sxm81YrZm+q3Q6TSAQQBAErFarvH8kEiGZTGI2m2USm0wmiUajaLVa2fon27xeUnKcHopTUllMS22HLLAjoX5983P+nKlUigcffHBRf9eFSCaTnDx5krGxMXQ6Ha2tuRPGBx98kPr6eoLBIGNjY1RXV7Nq1Soeeugh9u7di8vl4sEHH6StrY2mpvnJtc/n4/HHH+eVr3wlVquVeDzOmTNnGB8fJ5VKUVhYSGdnJy6XC8gIRoyPj9PU1MTFixcJhUI55vNLQZmliH/e8XF+fvF3/GbkALdys2Kb6yH/xQkXlbES/IWZCdF/HX2Qt266g5tac43uBUHArLUSTM5PwhNinD2bd6N9TGDAOsK4dUo1Ewrgjc4qlhm0BvQaPQkSBBp8WEcdGP3z1+6y2BlHuZ9FN595kiZ9GypW8WjfAcW2XRMXeWVzpqz0wJGjfPA7n6N5g3p0fNrt47Vrb+FN629j5aqWvNZJEgEdmOtnNp51fWkweEykxTRPLBCMen3bnrzWRNnHVIMoiiTERF5SG4vGOPbMCVY01KqunxyfWhKB1Bv0rNu4loqqikW3m/X5OXm0i7mAemDlerCU67LZbazbpO5THQqGOHlUvTduYRnnwnUXzl7EPTXNhi3rVcubAQqKCrjp1l2cOdnN6PBYDukJ+Oc48NQhNm3biKvQSSQZ5f91/5zznit5P0tVvIT1kZVomScvZ0+dk72bs1HXWMdA31DOfU6n0gz2DdLanvsOEwSBxuYGzp4+N9+POatHW6An5cgQEJfRxhDKXmuPfpbSeK6VlXSMbPXfpULdxzZfKXIeyx9dGk3qpc+nLKbEn31Psv9lb58SU9w9+qTqsdc6Gmm3rsjJrEtjppT1lY6XXbmUfe+lnlxJbCqdTjM8O8GXHvhPgjH1MbGjqpmP33wXQnr+GEajkWg0SjQalXU4JCXmbNLucDjwer14PB5KSkrQaDS4XC6mp6eZmpqirKxMFpqSPlNRUaYs/nJshM3JOEbdH546sjRmQyajLfkFZ6OgQFklJMFoNFJXV8czzzxDWVkZZWVl1NTUyPd6GS8PLBPbZfzR4NixY0xPTzM9Pc2VK5lJyKZNmYm8z+eju7ubQCCAy+Vi06ZNsgVOMBjk9OnTeDweUqkUdrudNWvW5Pi1PfjggzQ0NBAMBhkdHcVgMNDW1iaXoSxEOp3mxIkTeDwedu7cicVi4fz58wwODhKNRjEYDFRXV7N+/eKiPel0Wh5QIFNqHAqFcLlcMtGR+mMMBoMctRTFea9am82Wo1gcj8cxmUxyNFESqpBIrTTIxmIxOfsYj8flgXN2eA7Nihd2cqLVajEajddFbM+cOcP09DTbt2/HaDRy9uxZfD5fzuDV09NDe3s7q1YpyYcgCNTW1jI8PJxDbIeGhiguLpYDBIcPH0ar1XLjjTei1+vp6+tj//793HHHHXJEV3outm3bpjoBXAp0Gi13rXodq4tbSItpReBgqRlbCStD9bidXgx6HfFEkr/81T9z/HN3YzbkTva1Gi1GjYlYej5DJxhF1q1fA8ehJFZIj3OAiE6ZwfPH1IVMLDor/vgsaCBUGyA9lcLktiAgYDaaQCWpbdbPfz4REUTYoKKMDJly5Fc27+SJQ8/ynn/5FN6Qn+0LehoBYrEEb159Bze3bsVkNlGfR3RKytamxTSnZ07nrDN4TWhSGroSV3CnZ+XlNY5yPrLprarHgyWSWlE9ux+PxTn27ElCwTBllaXK9fEE3hmffKx8fYPlFWV0bupcVFVbTIv0XL7CpfOX8xKV60U2WVC7Lq1Oy+ZtmxTK2ZB5Hx07dGLRvt7Fjg0w455h32P7Wb+pk/LKctVt9Ho9G7duoKyijO5TZ3POF4vGOPz0ERrWNfDLiYcYDU6oHgOgJbGCtsgKxfftmfEyMTZJRVXu+TUaDavXdXDo6cM5y/t7B2lubVaUiNfW13Lp/CUSUom0CIYRM5GVCdCCVW9Er9GSSOc+Sx7DLOQRLl9Y0n0tgquWrV1sP7VSZLjqZRt7aaedEjHL1z8tYSHBhfks6+Puk4zHlNUpRo2eN1fsBuYrgiQCqdVqZVKbXX4sXVN2369kNaTX60mlUvRMDvLPv/8e4bh61cSa6lY+/8oPo9NoicVixONxeew2GAzyMum6jEajrLMh2fw5nU58Ph9+v5+CggI0Gg0FBQVMT08zNjaGVqvF5XJhMBiYmZmhd2qQJ+OnODfXzz3jT+AyqffnCwjcULKaW8o3QRK5hLmgoIDq6moEQaCnpweDwUBHRweQsTUcGBhgx44d100SJVEsyaJoMSxFrPJaWdbNmzfT3NzM5OQkIyMjnDt3jl27dlFUlL8SZhkvLZZLkZfxR4POzk6KiopoaGiQexykspmzZ8+ydu1a9uzZgyAIHD9+XN4vmUxSUVHB7t272bt3L+Xl5Rw4cEA2NJfQ09NDYWEhe/fupbGxka6uLgIB5cQ+lUpx+PBhZmdnuemmm7BarYyOjnLlyhU2bNjAHXfcwfbt25fc5+l2uxkdHWVkZIRAIIBOpyMajcrech6PRyaGsViMWCxGIBAglUphsVhySG0kEsFgMOSIO0UiEVl1N3tA12q1pFIp4vG43PMDkEy8tOqWakgkEgwMDLB27VrKyspwuVxs3rxZMUiVlpbS2tqKzWaTB8Bs1NbWMjMzI3/XoigyMjJCbW0mSzY9PY3X6+WGG26gsLAQu91OZ2cnBoOB0dFR+TjpdJrNmzfLZdiL4eypc6plhxI2lKlnAK/lZbsQBlFPe7iBksLMBKR/ZpR/fOQHqtsatSa5vxQyxLK4uoiqmkrscRvrZjqoDJYpem9nVcSaAKy63HK1SFmIUE0AURDl3r9s6DRaDFpluW2JtZBahzLT2DV5kfufeoS3/t+Pyf3DpSXKSLs2pmV382YA2ta2qk5ssu19rvh7CCayJkgiGGfMhNJRno2fmz+uoOHvdn4Ik+761TJFUSS5CKlNxBMcf/YkwUAQm92G1aZUvp2enM7J/CwMpmh1Wjo3rGHrjVsWJbWhYIhn9x3k4tlLLxiplbBYmfS6jZ04nOqlg91dZ/HPqtuZZB8bFrc1isfiHDlwjO5TZxdtD6hZUc2uW27EVZD7PvaKfv798s/ykloBgXesfC1/vuOdivJM6Tk7d+a86rlLy0oUhDsWjTE6PKrYVq/XsaJhRe7xExoM4xkCIAiCajlyWBslrFm8nFyNzKlBrb8W1DOgmet76bxsrwWJRC41O71QbMoTD/DQ1BHVbe8su4FikzMn4y+VGS8Mviy0Icq2HMruye2bGeGfFiG1qyub+ewdH8CoN8i+81KFFSCXNsfjcRKJBCaTSf4nOSNAJrBjt9sJh8MEg0HZNlCC1WrNkGCdlrOaIf7Tcz/n5jK94JOhGS55+hX/gqEgW2KNtMWrmJ2ZlcWU/H4/kUhEvrcul4vh4WH8fj/pdJrCwkICgQB9Kn7j14LRaKS8vJze3t4cayUJL4a+SkFBAW1tbdxyyy04nU6GhoaAl04rZBmLY5nYLuOPBlI/idRPmi2KtHr1akpLS3E6nbS1tcnZWciUpzQ2NuJ0OuXeC6vVyvh4rqR/RUUFTU1N2O12Vq5cicFgwO3OLQFLJpM8++yzxGIxdu/eLWdVw+EwJpOJsrIyrFYrRUVFebO92XA6nbhcLszmTJ9VdlY1lUrJvnKCIMgDVDAYlAfKYDCI3+9ndnZWJm9ShjYSicgCUlJ0OVu1EeZLCrMFGNQGj5caoVBIHhAlGI1GRZ/NYmVF0nqHw8HwcMYyZHp6mlgsJos+zM7Okkwm+e1vf8uvf/1r+V8oFJJ7eyDjE7jUUmGvx8v+x55m2q3uDwwosrVA3hLaxVARL6HWMV958G9P/YIzI8q+RUEQZJVkCUkxSfuGlVisZrRoqA/UsHpmJU7t/D32x9QJSDiZlJWTJcRdMQINPkStcnJr1qko4l793/oKZU+sN+LnA9//guyJq9VqKCpWBopcZEh9QZGL8soyxXqYF4xKppN0e7pz1un9BjRxLYeFi8SZ/zxvW/1KOkrzl97ny9ZKpDaVh9QmE0mOH+iSVXLVsrWQKUPOPibMk7zCogJuvnU3dY11ea8PYLB/iH2P7cfr8S663XNFPvLZ2NxAdW1V3msaWsS+Z+Hxl1Id0X9lgGeefHbREmub3cbOm2+UrY+mdF6etZ0mqlGfFBu1Bv6y893cVHMDdoedHTdvw1XolLODcFV1Phiir0ddGGp15ypFoKU3z7YNTfWKz6rzGNAEMwRSjdjC1aztEnAtBWU1sS1pPzVo85Uiv8SWP2o+4Yth4WdPp9P899g+4qJyzKs0FnFT0Vp5v2xroIUENp/VndQXK4oiiUSCSxP9fPnB/ySSh9Suq23jE3veA6n5UubsPtrs35z0WaQgthTQlvQ1ANn6z+/34/P50Ol0FBUVYTabCQQCDMyN8a9Dv+Qh32ESamU2V2EQdLy5eg9faH8/7SVNeDweRkZGsNlsdHR0UFNTw+TkJH5/ZrwoLCzEYDDI465Op6OyspL+/v5rZtbVsH79ekRR5IknnmB0dJS5uTkCgQA9PT08+aR6CflzQTAYpLu7Ww6GT05OMjc3J1f/Wa1WQqEQPp8vp+JtGS8tlkuRl/EngezsqERAotEoVquVRCLB+fPnZQNySTBiYVls9jEEQcBkMikyb0eOHMFisbBr166ckpaamhquXLnCQw89RHl5ORUVFVRWVl67P+6qr53X60Wn08m+c4DsVet0OmUZ/3g8Lpc6SwOtlHXNHnyzPf4EQVjUKgPmo56SivIfCpYi3iCVI7e1tTE0NER5efl8djqZxGQysXv3bsV+2WT/ekUiotEYh54+TGt7Cy3tLaoekQshmDXESGBEmdnMuw8CN5g7OMxFICOC85Ff/iPPfPLHaDW5WRWdRo9BYyCenp/MJ0mw/oZ1HHoqk7FwJGy8oeROLgpXODJxAn+ejK1FZ2XAP0GxxUWRyS4/sylLklVtFYxcduOLzP++DJr8929DRTv3X1ZOTqwlNsKzmWBNUZFT1R/WEM98R21rV6oeO9ve59LsRSLJ3N98eboK7RoLpw7N91c2FtTw/nVvyHu9i5HaxYSikskUJw524ffNBwvUiG06nWZ6MjcoIpGSlrZmWlY25yUikMkMnjpxOoccv5jIzloVFheyKo94l887S3fXWdV1asjuabzWZNg/G2D/48+wel0HdQuynxI0Wg0da1cxoBvnyMi5vMrHToOdv1x3F3WOanmZ0WTkhl1bOXO8m8nxqZzr6bnYQ21djaLiwmqz0tjSwJVLvfKygD/A9NS0wpbIYrVQUVXB+Oh8sFVAwDhiIdI6l9fP1mOYpSaqXoqtBql0dqGKfb73U74sv5DUZKo7FuyW1r90GdvF+mqXsp8oinQH+umeUw82vK3yZjRk+leld092xi7b0zn7OZWC0tJySXDq3OgVvvbYD4km1at5NqxYxaduex96rU6uzJLmMkajUQ5Wm0wmEomEfL5QKCS3I5nNZoLBIHNzc9hsNsLhsDz2C4KAw+HIlDNbjDzqP8qxscvXVLJuMlRxq2kDa4raiUWiMnkVBIHq6mr0ej1FRUW43W7Gx8dxOp2yfdD4+Ditra3odDpqa2sZGRlhbGzsutWEbTYbe/fu5eLFi5w+fZpoNIrRaKSgoIANG9Rt2J4LdDodc3NzHDp0SG7pampqkpMU1dXVjI2NsX//fhKJBJs2baK+vv4FO/8yloZlYruMPwksRiDPnDnD1NQUa9euxWazodVqOXz4sGJAXHgMtR6viooKhoaG8Hg8OT26FouF22+/HbfbzeTkJF1dXVy+fJmbbrpp0WsTRRGv15sz6ECm1zaZTGK32xUCUAttfaLRqEzEF/rmSQQ4O0MrlUZJkebsgfp6rTxeLEh9Ql6vV+6FjcfjzM3NUVKi7lWZDytWrODcuXN4vV5GR0dzBsKCggKi0SgajUY+zwuJyxd6mHF72LB13TUDBg6Tjfv1h9iVXE25WLjothIEQaDdWofAfBXxqZFL/Mf+X/FXN79Dsb1JayGRTuRMZvRWHSs7Wjl/JmOzoxd03L7iZtoLW/lt3yOkxFSOsjKAy+BABKbDs8zFw1RaizDqMoTcZNTzylWd7O+9xOhsJlvoUynpl7CufCUCgmKCZS9zMH0lQ85KS9Uz84aEkZq6apwu9X4wKVsbT8U57zmXs65IX8yurTu567efl5fpNFq+sPPD6LXXN3SKoojH58HmVH+GUqkUJw+dIhaJy1UGekNmQriQKPtn5xSVCRarhfaONmyOhZk7Mee+TYxNcOrEGeKxF9f+TIJUZQIZ8rf5ho2q77t4LM7xQ8ev6TW6EEtVX4bMPe7uOsuMe4a169colKZFUeTXvY/ywOgTecXSnNj4+Or3UaVSHq/Valm/dR0Xz16i7/I8GUomU5zvvsiGLUqhrNa2FkYGR3K8q3t7+lX9dptaG3KILYAmpkU/aYLKKFa9iVAiN9Pn0fsRtAKCKCyZ4GWX0cpkLM89zudjKyCgSWoURDale2kyWEsNeCxEdsYzLia5Z2K/6nbbCzpotlfPi0td7a+V9l04nko9tNljbTKZRKfTIQgCFyb6+OpjPyCWVP9drq9p5+N77sJw9R2q1+tJJBI5vbXZrUgSiZVajSQxKWl5KBRidnYWQFb0lWx9JvR+fj2zH19y8Z5Vu9bCmypvodPWzNTUFMPDw3L7U3l5OWNjYwwPD9PS0oIgCBQXFzM2NkYsFpPLh0dGRhgfH5eVigsKCujt7c0htul0Gp/Pd80eVrPZzPr16/PqlqgJOr7uda+T/7u0tFR1m46ODrkX2GQysX379rzXoNVq2bZNKRi3jJcWy8R2GX9UeC49Dh6Ph7q6OqqrMxH4RCJBKBS6boIEyCXNBw8eZMeOHZSWzmdcpHKbyspKmpqaePTRR2Xhhnz42gPfx+vx0FBey4qSKqoLy7HrzMRiMaxWq1xmlEwmCYfDcqkyZAbVcDgsZ1mzPfaSySR6vV6edErrksmkTGql40glytIkUi0z9lJDr9dTX1/PmTNnMBgMmEwmzp49+5xIt9Vqpbi4mBMnTiCKIpWVlfK6srIyioqKOHjwIGvWrMFutxOJRJiYmKCqqiqnFPq5wjPjYf9jz7BucyflFerlspARefqzNa/mh2fvZVWqjnWpxpy+2GxIkytRFLHojFRbShkJz5fNf/mh7/LazptZUVih2M+ssxBOzveXi6SpbCjHPeHOKZ+utVfx4TXvJpaK5ygaAziN80Qymowrsrd6rY49Las4PtzP+ckxAqEg/3PgYd604xWKz+Iw2mgurKXHO5Sz3F7qQGLsJXmIrTltprVDvWRYEowCOO87RyydmynpLF3HvRcep9833/f43nWvp7lIPeMH6tnaibEJ/MEAdU3q6sbpVJquw6eJhqLceeed1/x9WcvsVN++tIyGKIrE0hHiiQTnTp9bcpnvCwnpvbHpho2qfeKiKHLi6EnCWRY719MPKR3/WiRGIh6jw2N4Z7xs2LqBouLM7zeRTvKjc//N4Ql1JWaA4qSLzaFVXDx0Adt2C84FPbkS2lavxGK1cO7UeflzjAyN0NBUR0FR7nOq0+toX91G1/HT8rKpiSnmAkHsC4IUhUWFFBQV4Fvg1at3G0m5ErhMVgWxTQkpPMIsxWKBTKqeK8FV3WaRY2kSSmL7UmVsr7evdiFEUeThqSN4E0pyZ9WaeF3FDgDFc7dQXXkh8c3O0qZSKZLJJBcn+/naYz/MS2o3163mYzf9GYKITJKl1qFkMin/LY3NoihiNBrl80iEV1onlSxrNBpMJtN8ENyk4V7f01xKjlzz/qzR1/Oqkh1UuSpyRKosFgv19Zmy+ZKSEsbGxohGo5hMJoqKihgfH2dqaora2lqMRiNFRUUMDQ1RU1MjizmeOXMGv9+PIAgMDg4yNDSE0Wjk1ltvvb4vcRl/slgmtsv4o4LVasXr9RIKhdDpdEsa2Gw2G2NjY1RWViIIAufOnXteAgDNzc2IosiBAwe48cYbKSkpYWBgAFEUKSoqQqvVMjQ0hFarvaYn3JWpQU71noNL8wqaWo2WcmcxNYUVVBWUUeUqpdDkoLKgjIrC0hxbH8mrdiFxlTzXspHtYysRZmkfQJHBXQouXrzI2bNnaW5uZt06dWuP54o1a9aQTCY5cOAAer2elpaWa5ZU50NtbS1dXV2sWLEi574IgsCNN97I2bNnOX78uFz+VVxc/IJ678bjcY4eOEZjSwPtq9uulpIq7/MdDTfSVFDL10/8iPHgMXYn12BH+Qwt/I6aHVU5xDYcj/IXv/wnHvjovyv21WsM6IQ4SXH+XibFBGu3rOaZxw5CVvBAr9Fj1CptH5yG3Em/WvZWEAQ2r2jEabbw2EwXn/3p17l1/Y04LUpRoQ0VqxTEVmfQYSmwEvaGWNeiop6cFmhpaL6mvU8kGeGi94Li+o0aGz84da+8bHfdJt615tWqx8o+ngTPtIfzZy9gL7DTtkbpXQqZoNGpo2eYmfJQUFDwggeNBEHA7/Nz5NAxwqGlK46/kBBFkY617Xn9cy+dv4x7clp13VKQnRVWg5p9Szgc4cC+g6xc1UJVUzX/cfqnXPLlF66pT1exOtSABs3VNoIjrN+yjrIK9R7oFQ21mC1muo6ckt+f3afPseuWGxXb1tbX0t83yKx3Vl7Wd6Wfzg1Kle+mlgaOHz6Z+/kQMIyYca2wMTanVO6ddnkonMn8HrPJz/UQ3HzxwsXGgoyAVG5v6kshHnW9fbVqGI/O8MTMKdV1ry/fgUVjVIhuSfczu4pgMeKr1Wo5PXyRbz7xE+Ip9XFrS/1a/mbPu9FptbIYlESQ9Xo96XRaHpOkfk5Jb8Nut6PRaNDpdCQSCXk+IFV0JRKJTDWSVsupyBUenj1MNL14JUepoYC3lO+hLOUkEAgwI2Z6TfV6PQUFBfh8Pll52eFwMDk5idvtpra2Fq1WS2FhIZOTk1RXV6PRaKioqODcuXP4fD4KCwvld+D+/fuJxWLo9XrKy8upq6u7ru9vGX/aWCa2y/ijQmtrK8eOHePRRx8llUrJdj+LobOzk+PHj/PUU09hNBppbW19zgRJQktLC6Io8uyzz7Jz504MBgMXL17kzJkziKKI0+lkx44dCgPwpSCVTjHmm2LMp+yRMxtMVLnKKHcUU2YvYkVxJdVF5VQ6SzHqDHLkdqmkNh6PKyaOS50weL1e+vv7l6z+fL3Q6/Vs2bKFLVu2yMtWrpzvpbzzzjsV+1itVtVyo6amphzLn4XnWazEKbtU6fmir6cfz7SXLds3Ysxj79NSUMe3dn+O/zh9N78ZO8SO1Coa0ot7lDY7qnlqMnei9uSlozzZf4hbGpSlU2adhblEgGxyndImWb91HaFQbhZDFNOwoBQ5O2ObDbXsbWtpBebNm/mPM/fypV/+B9983+cU+62vaOOX5x9WLHeUOXnbytuoqCgmQe6krFBTSENTnep1ZGdrz3nPklwgDrOqcDXfOX434USUIrOLD6x/I3e27FpSRYB/NsDF8xeZGJuktqEmL6kVRZEzx87innjupG4pOHXyTF5Su9SS3+eDiqpyGlvUhfImx6e4fKHneZ8jX9Y2uyR14ecURZET58/w/438klnyl12+pnEvd9bewtnT5xgezGSzUskUJw930b62jbpG9Qx+aXkJ2266gWMHjhONRPF5fIwMjlBTp8y2r1nXwTNPzvs1jwyO0N6xEoMxN2hUWVWJxXIhJ7sNoI3oKJp1oRGGFeXBHv0saX06k0G9en+yCW52L20+5OvZTi+ipK3mZSvq0oiIi1phPR9kizQ9V4iiyK/G96n2wjdZqtjiape3y8ZCBeTs3lqJ0Eq9tVqtlu6xy3zjiZ+QyENqt9av5SO73obu6tibXX4szRuyrX0kqx9JSCocDmM2Z6q7JEKs0+nkQLdGo8Gd8PHzqScZSSp9kLOhQcMNhjZeXbMLk95IMpmUBRQdDgelpZmAejAYlNuDJPsgr9crE9ni4mJmZmbwer0UFxfjdDoxmUyy/c/09LRcvr169WoqKipyxLeWsYylYJnYLuOPCna7nVtuuSVn2cLm/YKCghxyY7VaFeJAzc255YtqJCm7NEaNMLW2ttLaOj+prapSVwJ9IRGJR+l1D9HrHlKsc5ntVLpKr2Z5y6gsKKXSVUqh2QlpUUFqY7EYoiii0+lkk/elRvoTiQRHjhxh48aNXLhw4ZrbL2Mes75ZThztYvvuG/JuY9Wb+cym9/FoyQF+cPZeRhMzbE21YcjzSm+2V6su/+cnvs+Wu9ZiM+T2fmoEDSatmWgqlxBZC0wI2gUEQSWzbNNb0Qk6BWHMbK/M3taWlPDJD76V7979AJ9+wwcocxXn7LOmtBWtoFWoCXe0reRm11aG9Mrn/YaqLQpPULgqGHV1Yh1KBLk8m6sSbdKa8YfjHB49w4c2vJm3rLodo06ZlV54zFAozMVzlxgZHkFAoLquilXr1H14RVGk+/g5JsdeAgGnRTjLi01qbXYb6zapV2qEgiFOHstf+ns9kIJv2eRCTYk2Gz7tHEcsZ4mhTiy0goa7Vr2JG6sydlHrN6+jpKyEMye75Xfg+dMXCM4FWbW2XTXo4XBmFJOPHzqJ3+fn/NmLVFRVoFvg31tYVEjNimpGhjJl76lUisH+IVracschQSPQ0NzAuTPnFecyTllwVtjwxXNJejARJVQVwDbolJ/7bIKbLRSV73lQU2kH4JoZ2wUQMuXI2jx2QM8Hz1UsaiGOzF6kNzyuWK5Bw9uqbkabRVQhV517YX9tttJ09vITA+f416d+SiKl7jCwvWk9H931NhBze3F1Op1cdaXX6+Vl0jXI/exXxaQk5X6j0YhWq5V7cLUGHc8Gu9kfOEUqj5idhHpTJa8r3Ik+KBLw+UnbbHKpsFRSLf3WXC4XMzMz8vUVFhYyMzODx+OhpKQEi8UiO04YjUbcbrcseGm1Wqmvr8fhcHDq1Cn5uKIoMhmZoknFrm8Zy1DDMrFdxjL+RDAbmWM2MseFidySO42godReSKUrQ3SrXGUUW12UO4opdRTllFVJEedroauri4qKCsrKypZMbItLi9FoBeLxOLFYPK+Ay58CgnOha28E3F63g5WF9Xz9xI/4beAQu5NrKRGVGfIKcyE2nZlgMjfT0zs+yj1XHuC9q96q2MeoNZJIx0llkdM0aSyO3H5aUVSfGN1cfSOPj+zLy6sWZm9Liwv4xAfezA+e/gV/++qP5TxnZr2RVSWNdLtzs3tzhihRXQw0uWeptFZQl6cXNjtbe8ZzRuEn2+payYXJIe5907/iMNquqQoaj8a5fLGHgb5BeVJdUVNOx3p19V+Ac10XGB9R90f9Y4FOp2XL9k3o9cppRiqZ4tih4yTii1fGXE9GWcqSZZeC5iM5E7oZTlgukhLU15t1Jv6i892sKmrJWV6zoprCogJOHjuFdyYjfDbYO0QkFGHdlk5VdXST2cS2XVvpOnaaqfEpei5doX21MuDRvqad8bEJUsnM89jfO0BTa6MiW7WivpZL5y8rbNcEUaAkVIBPr8w+ewx+TAUW9L7cAM1SCW6+d3766r1W20ctYwuQ1qVeNGL7fAM1wWSEX08+q7ruluJ1VBgzPdkLP/NCm53s68iueNJqtRwfOMu3nvoZybS6kNaNTRv46E1vR6vRkkwmZQcD6TvKJpPZ50omk7KHbrZbg9FolAPWer2e/sgYj/pOMJNa3CvaiJ5b7Zu4sWQdGkEgponJtkBWq1UWVpyZmZFFrGw2Gx6PB5/PR2lpqeyVOz09TXFxsUx4fT4fZ86ckRWTpfWSvkVRURGDw4P47QEOTR8FDXyq5G8W//KWsYyrWCa2y1jGyxiF1henjDcbaTHNZGCGycAMXcO5JNSoM1DhLKHSVUqFs4QyWxHrmhcvux0eHmZ2dpY9e/Zc13V0rF2FmB09Fv90mW08Fs+jQK300KhzVPEvOz/Dd8/ewwNDR9iYamZ1uj6n3E8QBJrsVZz29ebs6/HNcXj8JFvK17GqSFkya9ZZCCZyFYvTpBFEQc7ipPMQv93V26lz1vLr3geYiap7pcrZ21iYSlsRFrMJY1Oau4/9D+/YklsBsb6iXUFsk6QYE9w5A5mAwI7K7fJfLFgn3dO5eICRuREMmvmSb52gpd7WyLrV669eX/6JspgW6e3po//KQI6IS1llKas3rMpLBi52X2ZqzJ1THQHXbxm1VOj1esW5Xgqs39yJ3aHslwY409WNfza/EraE6yEqC4WO8pHafsMY3abevIEzCyY+1n4XK4vURcesNis7dm/j4rlLslXP1ISbw/uPsGm7ukCWVqdl4w3rudB9kd7Lfayor8Vqy62SMJtNtKxs5uK5SwBEI1HGRsapWZFbbaE36FlRX0vfFaUNTclcET2FSoGw2WiIkqoIujldxopnAbLVqLPJmUzY8pUip9I5FkE5/q2JfF62aYiornrOeCH6agF+O3WQUErpIVuot/OK0i3XzApn99BmVw5I/31y+Dz/+tTPSOUhtTubNvDBHW+W361Sf6wk9pidJZVah6R+21gsJvvaS+1GqVRKbj+KkeCx4HFORq5d+r/G0she8wa0cUhcLXMOBoPy57LZbOh0OiwWC1qtFr/fT0lJCTqdDpvNhtfrpaSkBEEQcLlcjIyMcOnSJSKRiHx/HA4HjY2NssjW+Pg41dXVxMU40y4vpwKniQ1l2kuqbS9+tdsy/niwTGyXsYyXMb70+r/iz9a+Ak/Yjy82x5hvihHvBCMzE4z73QRjL64gTCwZZ9AzxqBnTF62bryD97/13arbh8NhTp06xa5du563EM7LwVbofwuiKBKLxlQnyWow6gx8bN2fsaa4lf+v+5eMxT3sTK7Gyvz+zQ4lsU2l0/j8Qe6+9Bv+z9aPK4SgtIIWo9ZEbMFkLyWmZJKYbzIpCAIr7NX8xZr388TI0xyYOJr3+qMpKXvrpMjkIO6c48jkYTaXbZEneRsq2vnJmfsV+w6lp2lkXp16ZUErJeYS9IJB0csnoJGFcHwxPysLcrOqZeZSiizzIkf5iK2YFhkcGCIVT7NixXxm2OawUlVbmSOwlY3piWmMWpPse5iNa9k9BYNB3G43kUiEZDJJXV3dkvrXa2pqKCoqetHLjrNRVFxEeZWawrdIf1+/3Kv6QiKbUKgRDxGR86Z+eo2jKntn4EhZuSG0miuHejCu1VOfr0dbo2HVmnZKykroOtpFNBrDPxvgwFOH2Lx9Iw4VeylBEFi1th2r1cK5MxfYsl2p/9DU2sjQwLDcE93b06cgtgANzfX09fYryswtaROmlJGoNlfhezYaRCxIE6uKYBrKb1uWrYScfT/zqiIvKLvNLs9VLUXmhVdGfiH6agH6QuMc9ClLvAHeXLEbk3bebWAxLBSVkojbsYFu/m3fz0nlqXC5qXULH9zxJkRRlIkskFN+LDkV6HQ6ucRer9fLWhgSJAsgqcrqVKCHJ2OnCKYXjyg4NBZeW7iTdmsdAIFAQPalNRqNcqlxMBjEbDaj0Wiw2WwEAgGKijLVXU5nRlhqenqaRCJBIBDI2CfF41RWVmK325mZmcHn88n3qqSkhDHvGI+M/p7Lid6Ml/oyO1nGc8Tyo7OMZbyMEQwGMRtMrCopkycZwWAwY+NisTAXDTHqnWTAPcKYz4076GV81s3ErDuv0uKLCZ/PRywW4/HHH5eXiaLI9PQ0vb29vOENb1gWgrgGpO85qkJsQ8EQJqNZ0aMnYXfNJloKVvC1Ez/iN7MH2ZlcTa2YUW7N12c77Q1QXODjd32P8aYWZS+5UWMikY6TXjAhS4pJdOgQ85RzSqRSr9VzR90eWpxN/OLc/xDTqStvZrK3fuZiESptRVycvcBcIsCuypswaA20Fzdi0hmILrDFGIt7ZGKr1+jZWr4FqZNWzPJx1aABIfNXKBFiMrSwj06g2FyaRWbzT2DHRseY9c3mLLM5bFTUlCMKouq+U2NupidnFMslXCurKk12XS4Xvb29S57IS4IzLxWxtdmslFaUoLwHAtFwjIvnLqvt9rxwLXKTIsVJyyXG9fnvf2migE3hdvRkMl1nurpxT02zbtNamVAo9ikr4aZbd9N1/DRTE1NEI1EO7T/C+q3rKC1Xt4ura6rDbLUw7Z6mpDR3G61WS8faVRw7dBwAv8/PjHuG4tLcnnOrzUpFZQUTY7nl7AICxXEXo+bc3u14Okk4GcNaIJD0JdAFFn/WFhLc/MQ2rdgPMu8wbSoPsX0BvWxfqL7alJjil+NPqa5bY29grTMTiLoeGyqYz9YeHTjDv+/7RX5S27KFD+3MZGql0uPs3tpseyBJ9EsSo5KytNK22QJT/nSIh6JHuBLPH8yBzHNzg3UV2/RtmESjHBySPodOp8t4agsCVquVQCBAQUEBOp0Ou92O3+9nbm5O9sjVaDTMzMzIasmpVIrZ2VmsVitarZaCggJZRCrlSHMq1k1vaS9ibNHLXMYyloRlYruMZbyMkU6nsdvt8gAeiURIp9OysqHDbKOhqJpqeykmk0nOksbiMSZ907iDXqbmPIzPuhmfdTPmm8Id9L5ok9zS0lJuu+22nGXHjh3D4XCwcuXKZVILVNdXEgzOkUgs6JFbUP4XjURhgVemoNGw/4ln2Lh1A648PpqVtlK+fuMn+PGF+3mwfz9tqVo2p1pptFfKZC8b014/bY3V7Bs9yObyTlY4cgmwIAiYtVZCSWXvXlpML5JZz13eWFDHFv0mfuV9mAqXI+9+2dlbURR5aPhB9lTtxW6ws6a0lWPjZ3O2n4nNkUil0Gu1bChdj0U/b3+UL+M6EOhXCFuVmEsx6aRAQv7fR8A/x+R4LnGw2q3UNlbnlGxmi1R5pr3MzQYXtYjKR54kuFwuXC4XACaTacm/Jb1ej8lkyvnN6/X6F6X0WaPRUF1bhVajJDWpZBq/L0BVVZWiPzQfJGGZa50TcslNdiVBXEhwztSPUWumKF6AJ+pTHGNFvIK1kSaFL/TE2ASBWT/rN6+jKI9dkdFk5IYbt9DX08/57gskk0mOHzxBR+cqVjSqexeXVZQSnAvKvZPZqKyuoLi0mJmrntF9Pf0KYgsZ65+FxBagKKEktpApR7bqTcSrw2gvORDS166IWZiJXYh8qsiiKCKkBISUgLhAbO6FzNguxb94KdjnOcN4TGmVZBB0vLlyN/Dcy5wP9Z3iP/bfrQgMSrhl5Vbec8Pr5C6TbBXv7N5aifBK34Vk7wMo7Pti8RjH45d5OtxNgsV/a+W6Ql5fuJMqQwmpVEoWnZJsAa1WK6FQSA6smc1mAoEAwWAQl8slqzHPzGSeV41Gg8FgIBKJUF1djdGYUVGenZ2Ve291eh1hV5SHw4/hj19tSVjkcQwlQiRSCfTal76lYhl/eFgmtstYxssYZrNZnthJPnaSwiHMZ2MMBoO8LJVKkUwkKXeVUFNSKR8rFotllI0FmAn5ZLI74p1kwj/NZGAafyT4vK5Xr9cryiN1Oh0Gg+FFs/35Q8OKhhpKqooJBcL4ZwJEo1Hi0TixeJx4LJ6xZ4gniEaV4WuTyUgoGOLZpw6wak07Dc31KmfIZEk/uPpNrClu4d9O/ZzJmJfdwlpqrCUMh3KtHaa9mYlFWkzzXxfv5XOb/lJBTHQaHQaNkXg695qkftu0mFYopwqCoOCHpTXlDF/x4Q2FaSwtxmxQn6hkZ2/jqSQPDv2Om6v2sKGiXUFsRURmQkFaiqrpLF6rerxswahAPIAvpuz5rbYpbVgWIplMMdg3mLPMarNQ31KXQ1AEMsEA6ZzVFVaqK659/KVizRqlx2k+tLS0XHujlwB6Q6YsuqbmhbsPS4XkPhxPJfjrp/9PDrltj9bTHKtRtaDJWKdEObD/EC1tzaxsb83bb9rY0kBxSRHHj5wkOBfk7KlzhIIh2tasVCWGNruNeDKOUW9UrF/d2cH+x59GFEUmJiYJzoWw2XNLiItKinAVunL8bwEKE04EUSlRMBsNUmUvQjSIxCsjGEcX91DPRj5iKy5i9wOZPtuUNjdD+0JlbPOJVl0vvPE5HnIfUV33yrKtFOrtz+kcgiBwoLeL7zx9d979b2vfznu2vT6HtGarH0tijdnLYF4oTVqWTCZlAuxOz/JA5DCTKXVdAwl6Qccu81o26JuwaHKfBSl4brdnPnsoFCIUCuFyudDpdJhMJubm5mQvXMgQf4fDgdOZCUiOjY0RCATk3lu73c60d5ppu4dzsQsEzPktthT3UtRwZPQoHQWr0Gv08vncbjejo6PE43GqqqpoaGh4Qf3ll/GHiWViu4xlvIyh1+uJRqNyJFWn08kli+l0Wl4mRWszJaxRhVetRGqlbWuMFVQXlMvqiZKlTygWZsI/ncnuXs3wTgZmmPBPE0subt7+fPGtEz8jEAviNNpwGu1UWEu4s/Fm1ezPHypEUSQtihgNBozFBmxOK3qtHqPOpJg8JpPKUnKNRkNrewuRcAT3lJtIOEJzW1PebN/WirU0Omv4xskf8zvPYYodLgWxDUWihKMxLCYjo8EJHh9+htvrblIcy6jNlCQvzIKmxIwN1EJeoEYUUkJmUhuMxugeGaem0LXE7G2YR4YfosauLugzPRfgro4bVJ+VhdcxEFCK7jiNBdgNUl9k/kns6NAo8SwlX7PVTH1LPdoFtkLZIlXLePnAoNXjMNjwRH1oRIF1kVZqEmq9wMpM8OULPUy7Z9i4ZT0WqzopdBY42b13J2dPnWNoYJj+KwOEQ2HWbe5Eq1M+mzqdjmQ6iVajzQkMOV0O6hpWMNA3CCL0X+lnzfrViv2bWho4cSTXMkkv6nAm7cwuUEcOxMKkxDRaQUOyOI7OZ0AbWtoUMB+Zh8XViDVJLSkWENsXIGP7QvXVAvzP5NPE0sp3bYWxiJuLOp/zcQ/0dvGfz/wy7725vX0Hd217XY7wljRGAznlxxKBzc7mZtv9JBIJgrEwR1KXOBq5eE0l92ZDFXc6t+HS2uSqCGmusdA3VhAEucRYCrRLBDuRSGC32zGZTHJPrUTEs3tvo0QZso1wxdJPKrL0wEalvgLHlJWb22+ioiDj1Z5KpZiamuLKlSuEQiFqampYv349dru6UN0y/vSwTGyXsYyXKSTlQ1EUCYfDaDQa2ZhdFEUikYhc9jPflxmVVRKlifVCUivtL5Ha7G2tRgtNpSuoL6rOKXUSRRFfOMDUnAed+frKgW66SUmS1HDFO0SPbzBn2c/O/w6XMXfAMmgN2PRmrAYLZtGAKa6n2VXLTWu25jmygJDPh3EB/vr+r7KnZTN7Wrco1mkFHXrN4uWiEk5dOUcgHGDbVXVdCWlRzFF+NlwNUszFAhi0hhyCq9VqVScoK1e1qpKmfBOoEksh/7zjbzgw1sW3gj8HFZeZ4HQMS03m2Xpo4AnWl66m1JJb/qgRNJi1FsIppRVRmhRacifuasQ2nJgvKxVFkWFPJntbY3fgdKqL2mRnb8OJGBa9kXAiN3PsC0dpcikFmaTrkO6XP+YnEFfaXFTbMuXXc7EQRq0eg075jM/6/MxMz5crmswmGlvr0eqWy+v/0KBP69gSXkVxyqVYp6YKLME742XfY0/TuXEtVTWVin0hQ1bXbeqktLyE0yfOMDk+xaGnryomm4yK7QVBkMtUs8ltW8dKRkfGSMQTDA0O09axEv2CCofK6krM5gtEIrnl2kVxl4LYphEJxMIUmDJ+oLGaMObLdoQlqM/nL0VOL3q/1JSRU/o0gka4Zrb3WtfyQpDas4F+zgT6VNe9rfImtMJzC6o+03uC7z5zT16C+YpVO3nH5jtz/Jele5jdWysRWYnUwrztXrZS8pDo5pHQMQLi4mKSVsHEzcZOVhnrsOgywRlJUVnqy7VYLDLZlUi0RHZ9Pp88D5HmGlZr5r2t1ns7Hp5gf+gA45oJ0qRhKa9KEer1K7ixfDsVpnJO+04zOjJKeVk5Ho+Hnp4eAoEA5eXlbNu2jYKCgqV/Mcv4k8AysV3GnzQikQiHDx/GbrezcuVKWb3vzJkzGI1GmpqaEASBZDLJpUuX0Ol01NbWotFoSCQS9PZmVGbLysrQ6/WIosjU1BQms5GmjgZ0hvw/Mb83QN+FAawWq1xGHAgESCaT2O12kskkkUiEcDhMOp3GYrHIg18kEiGVSsm9toCsjGg0GnOWpVIp9Hq9fI58pFZal0goo9eCIFBsL6DQ6nzRBpJUSjlRcYc9uMPK3icFJqG0spi24gbFqv+8/7+IJeKsrG2ksXIF1SUVxEJRJsenMBqNGIwGDEYDRoOBtuI6vrbvJ+xsWod2Qe9bSkyiFbRLysR1NrfjCfj4q3/7Ins37+COLbsX3d6ozxDmuVgAvcaASW8ikwJd+uRvsevSClp21Wyi4tZSfn/sTYr1K4x1vHftqwkmwgTjIXp8/QpiC6DXGtCl4yTF3GckX/9YLBrDmDWZjySV5dXBaIz7nzzAmlX1dG5oXjR7OxSYxGE2KYjtTCiAPzqH05QbBFmYOe0L5KpCA1h0ViwaG7/vPUhDQTXNRcq+yGQiyWD/kPy30WykcWW9ahYOIDAbwFycX332WrjrrruYnZ3l/vvvf87HuBZ2795NZ2cn3/rWt160c7wcYUob2Rlahz2tzLpmk4l8gaJEIsHxwydwT61gdeeqvL3KVTVVFBQWcOLISbweHwefOsTmHRvzWiClxaskQsiUzRuMBtpWtdJ96hypZIrB/iGaVzbl7KPRaKhvrudC98Wc5UUJF30oladno0GZ2IqmNImyKIbJxdW4M+fJT2yzye1CgqvqZasRSZGSSeP1lPmq2Qo9V8TTCe6ZeFp13Q2udpqsz81iZl/PMX5w4N68pPZVa27i7ZteKX/u7D5aKZgslSBn+wxL/5+t/B1IBHkieooL8SHVc2VjvbmZPbaNGEUdsVhMtgGSCKpGo8FkMslZYAC/359jBQXIfbUajYa5uTmZiMu9t6EgYXuES1zBXTq95PtmEAyssrThnLFjCOopX5GppKioqKCnp4ejR48yOztLUVERu3fvprS0dMnHXsafFpaJ7TL+ZJFKpThw4ADRaJQ1a9YgiiKpVIqTJ08SCoXo7OyUDc/Pnz9PMBhk5cqVcha1v7+fQCCAVqslFApRWVkpS+GXl5czcGmY8roSzHb1ng9rgZmWdY0MXxolPBeW+1jsdjvBYKbXNR6Pk0wmc8RiJF87o9EoL5P6bPR6vWKZTqe7blKr8CTM8uJ7sUoszz3azUB4lMKaIgprCjFYlNmNxXDv5cf5QvGHFMu3rdnAjo++MWdZeWEJRWYXpdZCKpzFVDhLqHCWYDVbGJt18/tLh3hF+w7FsSamJogGY9iKrJitJsw6MzqNega7yFHAf/zVV9h/5ggf+vrnef2u27ht885FP4NEcANRPwadEaNOLUOs9LJdKppLaym0OPCGcz1Euyd7WV3ctqRjmHUW5hIBskm3GrEVBIGgP5RLbBPqQkCJeJJDB87R1zfOLXs3UFCoPvkXAZNBnUyenrrMrhUbc68h6z7NxmYJJZQ95OFYim8d+y/aixtVSS3A4MAwyatiXwajgabWhrzK1LOeWWYmvZQVVyjW/cM//AP3338/p0+fVt13GS8+1kdaCaWVz8FSSG02hvqH8M542Lh1I04Vex8Ai9XCjpu2c+n8ZXouXckoJm9ZR0mZMmgEmX7xtJiWe8LrGusY6BtiLjBH/5V+GlsaFGJT9Q11XL7QQyo5X2HjTNrQp3UkNLnCQbPR3GqLRFkM7awBbXTxzOS1emzz2gQtYvmjiWlyjr2Uey6RvRdC/PAR9zE8Czy6AaxaE68rV777l4InLx3hh4fuy7v+1Wtu5q0b75DvkfRZpHsnlR/nBAeyyq6zCe6paC/7Y2eIsbj7QaHGzm3GjTRZq+VWDb1eTyKRkAWizGYz4XBYJrnSPCCdTmMymTAYDJly52BQnmdIfbayiJROwOfyc8ZwnoiKF3A+mNMmqiIV3NywG6PWiB8/vb29BINBtFotHo8HQRAIh8Ns376dysrK5TaPZSyK5RqqZfzJ4vTp0/j9fjo7O+UexStXruDz+WhtbZWXjYyMMDs7S11dnbzM7XYzOztLVVUVK1asIJ1Oy2IJhYWFGAwG0sk0l0/3MtKXX2rfZDHSuLYOs8Mk97BIPbTJZFLufZEiqJK8f3ZZcTqdlqOv2QQ2Ho+j0WiuWX4sHVcazBZmIKTB9MUmtq0l9Zjn9Awc6efYfx/l9AOnGD49RNCzNEGrw+OnGZtzK5Z3NrTz/r98Fw1bGnFWuBA0ApPeac6PXWFfz1HuPv4Q33ziJ3zyvq/z0V98mdRsjB8cuV/1HBa7mfNnLnD2fDd9gcuc855mNDi0qJfrztWb+eq7P4PfO8cHv/a3PHb82Wt+FpPByIshIC0IApvqlL16XcMXiav09KpBKknORnZ5dTbKK8pz/lbL2AJsqu+gvaYJIgL3/eppTp3oyXtPnZb5QFEyHGeuZ4bwkI8TY7kelNnZWlEUueLvURwrkUqzr78Ls87I7U3bVc/n9fhkgR69UU/TyvyVGH5fgKE+ZaZMKjF8rohGoxw+fFgOeKme2+/n8OHDz+s8/xvYt28fp06desnOZxCVgaiFRGOpmAsEefqJZ+i/ouzblqDRaGhf3caOXdvQarUcP3iC4YH8Pr4ioty3rtFoWL2uA4BIJMr4qLKPQG/QU1uXK8glIFCYUIr1hZMxYtm/cwHiteFr9mQKeV5GCwNa2TYxgiCgS6n/TtL63DaXhd6valg4Dj0fTEQ9PD7TpbrutWXbsemuncVeiMcvHlqU1L6ucw9v2XB7zrLssmopsJ6N7DJlyMwJppOz/HzuCX4fO7EoqdWgYadlDR8ufDW1+lJisZh8Dmms12q1mEwm+W8pGG4wGDAajfIzKCkfSwRTunaz2YwvMst58SIP8ziXrb1EdEsjtSXaYm6x7ea15jspDRQTDWb2czgcGAwGLl++TFdXF+FwmOLiYtLpNGVlZcukdhnXxDKxXcafJIaGhujr62PlypWyWu/U1BQDAwPU1dXJy3w+H8PDw1RUVOBwZKLyc3NzjI6OUlRUhMPhwGg0UlpaKhuoSz0niUQCr8fLyJVxxvum8lojaLVamlbX09hej9mcGVDT6bTcVyuRaakEWavV5iyLxWJoNBqZrErbQa43phqplbK00oCaTZYht/RJ+vvFwnt3vo5vvvHT/Oyuf+Zf3/gZPrLuzewyrKWkx4j/6SkmT47hG/WSVilZhkz/6n2XH1dd9451d1LZXsXq29ew5W030Lq7jZLGUnRG3YJjpPGNznB5eoin+5QTH4NRT39qnJ8+/lseOXCA8729DHgG6A/0kEqrEwqtVktpWSmdVSt5bcNuThw8xbu++HEeP37gmvdEbRL3fKd1W+o7FMtiyThnRpXELx8MWgNaYf7e5StFFgThasmhAAik0mnsBqvi328//z1O/Ov9DPzgaXx3d3Hv+7/HG2tfR421CrPOnPOvwOygwGQn9MQow185jPt73Uz8+yl+8P5/4fDBo/K5srPac/EAyXQSnUYv/zv48GE+sPfDfO2Oz/LPd36a17zitYRCId7/ng/wxte9ia986R+pLKumqb6Zb3zjG2h1WppWNmIwGojH4nzqrz9NXWUDRbYS9u66lWf3HWB0YBStVsvJkycRBIFHHnmEDRs2YDQa+fnPf84Xv/hFzpw5I09Wf/KTnyx6n7/xjW9QUVFBVVUV//Iv/5JDWn0+H+9617soKCjAYrHwxje+kfHxXG/egwcPsnv3biwWCwUFBdx22234fEq7G4CHHnoIp9PJL37xCyAT0Hvzm9+My+WisLCQ17zmNQwODgLwzDPPoNfrmZyczDnGX//1X3PjjTeqHt/v93PmzBni8VwRum3bttHRoXwmXypkv+OeC2lKp9N0nzrHkQPHiMfyC+wVlxZz8627Kasoo/vkWS6evbTocSVyW1pWQnllJkDU26PeD9rY3KAo4iiOu1S3nY3lBkfSlhTJksUNRDXXqYosEVwhkaeEWad8X0j3X/o+cs7/AopFiaLIr8b3ZXo+F6DBUsENBauu+5i/v3CQHx/+Td71b1h3K2/ecLuiPzj7cy78bNnjriAIiBo4GDvPDwOPMJxUBnCzUa0t5j3W29ht7UQnzM8XIpGIPF/Q6XTyXCGRSMj+uHq9HoPBIFd6SfMGyNiMSZodAea44ujnVPlZLglXiHNtcUkBgRqhio7plexKb6fBUIfVYsVsNsviU2NjY7LacnNzMzt37qS9vZ1kMsnISP6A0DKWIWG5FHkZf3Lw+/2cOHGCyspK2XoiHA5z9uxZioqKqKrK9NbEYjEuX76Mw+GgvDwzsUgkEgwMDGCxWCgry/SApFIp3G43er1e9mtzOBy43W60Wi1Op5OAZ45YJEZlUzlGk7oAUV1rLa6iAIMXhwkHM1FRqedFGoBEUcxZFovF5HKh7L5aQI6wZi+TRClAWXosDWzS5Hlhz9QLGTFXQ0VzKdPuGbQaLWWOYsocxXSyMmebWDLOWGCKK4kxxnVeIrYkGOYnB08MHeGdHa+iwJRbGripooN6ZxUD/jF0Bh0l9SWU1JcgpkUC7gDeEQ/eEQ8Rf4S4L0IqluQHh3/DrsZc8SeAV+68mb//2be59+hj8jKXw8HOzk1868P/QHmhsvdH0Ais7uzAbreh0WjoTK/k5KFT3P3ob3nHHa9hz8all775/X66u86h1+oyvcHZfcJGAwaDIWf5wknilnplxhbg2OBZNtUtfVJn0VmZS2SEmLKJrUbQyiXAIiJajY6UmAmcrCxu5LWtyufHqrfkXGeRvZDt9s3cULuBy74+BuaGyKb0pcN9zNSUwrt35Rznmcefpa15JWVlZVfL7kREEeYSISqt8/687kk3X/mLf+JzX/w8r3vd6yCe4sCBgwiiBhDY99R+zCYzDz74AP39A/zVx/6KppYmvrLhy4jAFz73WX77m9/xwx/9kNoVNXz9q9/grW96G88++ywul4uxsTEAPvvZz/KNb3xDtqH4xCc+waOPPsoTTzwBsKgF1r59+6ioqGDfvn1cunSJt7/97dx999185CMfATJ9uFeuXOF3v/sdDoeDT37yk3zyk5/kla98JTqdjtOnT3PLLbfw3ve+l29/+9toNBr279+vyAoB3H333Xz4wx/m7rvv5s477ySRSHDbbbdxww038Oyzz6LT6fjKV77C7bffTnd3Nzt37qShoYH/+q//4lOf+hSQeTf+4he/4Gtf+1rez6QGSRDvfwMvJGGaHJ/kqcf2s2HLekpUfGchU8a+ZfsmBnoHOHvmPOFgmM7Na+VKm4VIiSk0aFjduQr3pJtZ7yyeGS9FxYU529nsNsorypkcnw80FCVcqsecjYYos+bqJMQromj9ejRx9evIl7G91lggxPNkevX5lXGlnt2F7S9qz+1zwdHZS1wJjymWaxB4W+XNeUl8Pjxy/ln+6+jv8q5/0/rbeF3nHiCXrOZ75qRnMruCYCzt4ZHwMTxpZel0NoyCnlss61mrb5Azs5L2h4Tsqi7pfNkClFKAXhKhlESkNBoNBqOBifQUPdp+vHr1AJnqZ0prWJGuptO+FrvGxph+DK/XS0FBAYIg4HQ6mZyc5Pz58wiCQHV1NaOjo3LvscViobi4mN7eXurr1S3ulrEMCcvEdhl/UkgkEhw6dAiz2Ux7e7s8YJ46dQqdTkdzc7M8oFy6dCnT51RXJ7/0BwYGSKfTVFdXy8tGR0dJp9PU1NQQiUSYnp6WJfFLSkrkgWRybIrR4THWbV+DLY8CrKvYQcu6Rs4ePY+Ymh/kpL7abAIr+dxlZ2Cl7Ktk3wMZ4i2pL2ZP5CQCm708OyOk1tvzYpFaALPTTGl9EdMD3rwWEkadgcaiWhqpla1z3PgYZIq+9AR+Qvz2yj7uWv0axb5vbN3L14/9JGeZoBFwljtxljup39RAJBDBO+whEIrQNXaJkyMX2VCT23taWVzGm256Bb94/LfystlAgN898yQHT3fxyy/8OztWb1L9jHWNdYh6gWefPsjqqhbWVLVy8tBpfvno73jbHa9hz4aF5bDKflq7w8aqjW0MXhliYmgyp7dODRarhbUb11BaWgLAhtp2NIJGkWU92Heau7a/Bqt+aWV4mZJkK5FUKCf7ISBklTaKsgaWSJpAdI7AgoyRXqsn8/jmft+imPHJrXfUEoun6J27kinTTKXoPXCRdFz9c//+0cd457v/DK5eRTgZJprMVQudHB8nmUzyzre+PfP7Blavns8aGgwGvvvD72Exm1m/cT1en5fPfeZzfOnLXyQSifC9//c9fvCj73P7HbcB8L0ffJeWxlYefPhBPvHJj2N3ZnqEv/SlL7F37175uDabTVYMnZ2dlTOeJpOJoqIiObOSSqVwOBx8/OMfx2QysWfPHnbv3s2+ffv4yEc+IhPa++67j6qqKoxGI9///vdpa2vjt7/9LW95y1v4x3/8Rzo6Ovja176Gz+cjHo/zoQ99SNFq8J3vfIfPf/7zPPDAAzQ1NTE9Pc29995LPB7nox/9KE6nk5qaGn784x/jcrn4xS9+QUdHB3v37uX//b//x1/8xV9gNpt54IEHiEajrF27luPHj8sBt9raWsxmM5cvX8ZoNPLQQw+RSCSoq6tj8+bN7Nu3D5fLxbp16wB48MEHaWhoIBgMMjo6isFgoK2tjcbGedXrmZkZurq6CAQCOJ1O2tvbOXjwIHv37l2yuN0LSWolRCNRDj59iJaVzaxc1Zq3wqW+qZ7C4iJOHDnJ4aePsmnbhpxe9GykxTRmq5nGlgauXOqlr6dPQWwhY/2TTWxNaSPWpJmQLpKz3Ww0JJf+ytBArCaCqc+qqmaeXxX5Gj62SY2qJIBoEBcVgVpYnvxCfUehZJRfT6q3gtxcvI4qk3pAIh8eOvs0vzj+YN71b9lwB69ZezNAzudZbBzN/m4i6Rj7Y910J/KXuktYqavhVutGHDqrfBwpGCCN4dJxpfmBpOEhBZd0uoywlKTNIQXCI7EIXtssA8Zhgtale92bMdOiacTpdyDG0tgcmWtzOp1MTEwQCoWIRqPMzMwgCAIWi4VVq1bJSs3Dw8Py/Ku2tpauri68Xi+FhcrnfxnLkLBMbJfxJwNRFDlx4gThcJgbbrhBnuBdvHiRUCjEmjVr5GWDg4MEg0FaWlrkZRMTE8zNzVFXVyeX+E5PTzM3N0dlZSV6vR69Xk8wGCQSiWCxWOTtQqEQ4XAYu93O4PkRKhvKKCxXn4BZbGY27Oxk4MIQfs9cTq+tRJJTqRTxeFzRa5tIJHL6aqVlkjCFdB8kApudwc1WQ84msi8FqZVQ0VxKyBsm7I+qnm+h0IhGECinkAqhiG3aVcymgkz2TRFdGcOkz50o7q7dxE/P/Q53OL9xvdlhpqqjmpJ4gqHhKb535Nd8t+bziu0+9sZ388snH1BMuDwBH3f+7Xv497/8Iu+89Q2q56ivXUHqZpG3fPGjBOeClDuKKXcU85N77uFnD93HXXe+iZvX35D5nChlogQE7FYrqzvbqWtewUDPIJNDU3kzGuFQmMNPH6GhqZ5Va9uxm6y0VzRwbjxXIfjk0AXGg27+9eRPSYsJqhyF2PRWbHor60tXs6FsjeLYeo2eeFp7tWwyrbBVEkUQhAwJTolpgokI0QV9tjqNFlHMqE4n00liqRiD3nH6vaMMeiYY809j1pvYXteJy2nmTO8Z5nz5Mxc9l6/kPCcT4XFSC8oOmzqa2X3zbjZ0buTWW/eyZ+8e3vDG18ukaM3aNVjM8wR/69YtBINBRkZGCPgDJBIJbth2w/x90OvZuGkjly/llpdu3JgrZiUhnU7LbQzpdBqPx8PExAS1tbVyG0Jrayu1tbUkEglmZmYoLi5meHgYgLNnz6LT6WS7i1gsxszMDPX19Vy8eFHeZu/evfh8PoqKimRva+lvgHvvvRe3283BgwfZtGkTIyMj+P1+zp8/z+DgIDt37sxRvY1Go/T29vKGN7yBT3ziE3z3u9/lnnvu4Z3vfCc/+clPuPXWWzGZTKxYsQKtVpvTOtHU1MTIyAh79uzJEbRT/Q57eujo6KCtrY3R0VG6urooKSnB4XCQSCQ4cOAAFRUVbNmyhXA4fN1iXC8GqZUhQs/FK0y7Z9i0dUN+z1uXg917dnL2zDkO7jvEpu2bsDtsqtumxTSt7S2MDI4wMTZJKBjCassNjhaXFuN0OfHPzttZFSdcCmKbFFMEE1HshtwAVtqeJFkYR+9VEux8qshinhYECQICmqRG4V2b0mbeVVKVUL7v4XqEpZaC304dJJiKKJYX6G28okRp8bYYHujexy9PPJx3/ds2vZJXrd6ds2wpY5pEfC8lRng8cpKQuHjPqkNj4XbLZuqEUkjnZmIlSJlPyStXyshKRDaVSskBbkk8SqfTkRASjNknGDNNktAuTYMBwJ60UT5Xytqi1ei0OiLWCFPBKcLhMFarFYvFglarZXh4GFEU5feR3++X3wsVFRV0d3czMzNDSUkJJSUlmEwment72bx585KvZRl/elgmtsv4k0Fvby8jIyOsXbsWmy0zgRgbG2N0dJTm5mZ52czMDOPj41RXV8v9sn6/n4mJCUpLS+VloVAIt9tNQUGBvCwSiRAKhTAYDESjUbmfZXZ2FpPJhNlsRhRFhi6P4p6cpmVNk2pUX6fX0bSmgdG+CXrP96HVamWSnN1Xmy0MFY1mBsDs7bJLkKVl2SJR+UjtwqiyNLkFcgbCFwppMU0qncxEZtdU0XNoYNFofjay+5YcggVHwsLYwBiNLbnWP1qNlte13MJ3T//PNa/HYNBjMho40H+ai1MDtJXllj81Vq3gVdtu4bcHlD298USCD/3L33JxuI+vvPeTqt9vU1UdT3zzbv7sn/6KfacO56x74OhTbG1fx6ff/iH2rFcXNJJgt1pZs24V9S0r6O8ZZGpoStU2CaC/dwCvx8uGrRvYUr9aQWxHfJNYBTNf3/UpvnPqbi76LmC8+tx0uc9SYHLR4MxVDRYEAbPWSjARII3IwidCFNMcv3QWrVZLQ2UN8ZRycqQVNHRPnWfQO8GQd5IRn5vE1X7lamcZb+m8nXVVK9FdVfQsTrs4xDN574nVMk8kIskIibTynC6Ti0d//whHDh/hicef4Dvf+U/+zxf+noOHn5UuPO/xrwfSe2Eh7PZc1eeysjL6+/tl/0hpX6PRiNFoJJlM5mSuJAEXqSLEaDQqeldNJhOiKMoTQsi0JIRCIXkiuW7dOrq6uvjRj34kk3CppWLDhg384he/YHx8HL/fL5PmrVu34nA4cDgc3Hnnndx///1s3ryZRx55hO9///vY7Xb5c0vnhfkSSKPRKGem86GiooKmpoy1zcqVK+np6cHtduNwOBgaylibbNy4UW71iEQinDhxYtFjSnhRSW0WfB4f+x7bz9oNa6muVbeO0eq0dG5Yy/joBMcPHGfNxtUU5yljRgPbb97Gvt8/TX/vAKs7lX3JTS0NnDw2L8RVFHcxZFYKTgW8EezlysqMeFUEbUCvsOl5rhlbyHjZLiS2aX0qJ2CiRnBf6O+pPzzBAd851XVvqtiNSbs0j3KA+888yT0nH827/h2b7+SVHbvyrs/GQjVpfzrE78Mn6E+pGI5nQUBgg76Zm2ydGAS9bL0kWQVJWe90Oo3BYJDH9WwPXEmcKh6Py9aBOp2OQDpAv2GIcf0kaWGJ91+EcrGUFk0zTtHOdHiaiDmC3W6XlZWl/n6v1ytfX2trKzabjWg0isfjYWZmhtLSUvk9Mjw8TElJCYIgUFNTQ19fH2vXrv1fbWFYxssby8R2GX8S8Hg8nD59mtraWioqMjYcc3NznD9/nrKyMrlfNhwO09PTg8vloqQkU7oZi8UYGBjAZrNRXJyZdCQSCUZGRjCbzfIkMZlMMjExgcFgoLS0FK/Xy+zsLKIootVq5cmsKIr4/X5mZ0U0opb6VSvQq6isCoJATVMlBrOeoUsjiGlRJrWiKOb41UoCD9nLJLKaXaqcXX68cFn2ebORTWohQ+gffPBBxcAiRYSX4jO4afsG9EYdntgMAKl0UvZGNVoMVLWVMXx2PIfEqh03X0S/v2eA+qY6Bam8s3EXTw+f4JJ3YNHrA3A4LESn4/zgyP188zV/o1j/6Xd/iH1XjhFw+1UVnb517w/pHR3kR5/5OjazkuAU2J389is/4OPf+TI/ePhXOeuOXDjF6//uw/zn33yZdy3I/AqCoDif3Wpj7boOAs0r6O8Zwj2sTnBnfX6efvwZmu3VinUAxwbP8Zq1N/GpTe/lN1ce4/fDT2YmSYj8/OJ9fH7zx2TLCAlajRYdetJiWvamzLpY6iqr+NW+3+EJzRARM5n4VDpNMpEkkUzh9wf58dRD87sgsLq8hV2NG2kqVl5nU1UDTc2N9F5RF9LZtCVTBi6KMBWZUt2m0FSERqNh+/ZtbN++jb/7wudprG/m/vsz5eXd3WeJRCKymNvRo0ex2WyZdoPiCAaDgcOHDrNixQog81s7eeIkf/Gxv1A9nwSDwSBXW3g8HrnsT0IikZDVzLN/c9kEEaCuro5kMsnRo0fZtm0bkPldDgwM0N7eDsCqVas4cuRIzu90IfltbGzkm9/8Jrt370ar1fKZz3wGo9HIhg0buOeeeygtLaWwsJCenh4qKysJBoOyBgHABz/4Qd7ylrfwwx/+kMbGRu644w4GBgbw+/04nU4KCwvzkvvFkN17LAiCLFoDmfe2y+XKCaxdb2nii01qJSQSSU4cOYl7ys2adavzet5WVlfgKnTRdbSLSDhKTZ3679NsMXPjLds5fvAkK1e15ogDAlTVVnH+7EWikUxwpCDhQCMKpIXcF8ZsJER1vAjRsOBFooV4dQTTYO53JuTN2C6B2Ca1QO4Yk7oqHrXQ1kYiuNfqQ71epBH51fhTqus67PWstSv9z/Ph16cf596ux/Kuf+eWV3PHKnUBtXwQxUzLxvFYD89Gu0mweHtJmbaAO8ybKBVcCCmBtCZXjEq6bzqdjkQikeOVKwiCTGxzthHTzOoCDFtGmNHnr2paCK2ooSpVSYHHSZklQ0jRZ+YiwWAQu90u/4aDwSCTk5OyRsnIyAihUAibzYbJZMJut8sJBEEQqKiooLe3l3A4jMViobq6mt7eXgYHB2ltbb2ue7yMPx0sqyIv448esViMQ4cO4XA4WLkyI0aUSCQ4deoUZrOZhobMoJZKpbh06RJ6vZ4VK1bIGZL+/n40Gg1VVVVyJFRS5ysvL5eXTU1NyRkSrVYrT7ZEUZRf7gCBQIBUKoXdbicUCHO5q5egP6Ry5RmUVZWwavNKjCaD3EObLQwlDVwLCazUVystk/zxpAEO5m0GJCwsO15IaqXl4XAYn8+n+k8i9PnW+3w+nvr9fgRRwKQ1EUtFZFIrobDKRUHFvADUwj6rhcJWCxGJRBkbHlcs12t1/Ostn+aHd3yRD659I2tLWtAI6q9Bm82CIMBjl48w5FVGz1sr6nn3e97Cje/ayfbXbKW1swmDMXei+eCRJ9nzibcz4lZeC4BOq+PfPvZFvv7hzysII8CJS2dV98vnY+uw2elc38GGm9YTtSW5MjPMbDiQc4+SyST6aXUF56MD8+d7XfOt7K6ezxiPhyb5/dB+1f0sBivJlPKYGgQsZiN7t+8gYYah6Qlm/UHm5sJEonGSyRTpq9dm1BnY3bCJv9vzQd635bWqpFbC+z7wPpxOpXfo2s413LznJgBiqZhqttaiM9N98ixf/eevcuLESYaHh/nNr+9nenr66vshU+nwoQ98iIsXLvLIw4/y5S9+hT//yIfRaDRYrVY++OEP8rnP/C2/f/QxLl64yJ9/6M8Jh8O857135b1myBDSgYEBnnjiCaanp+X+1b//+7/nm9/8Zs62ly9f5mc/+5nqcRoaGrjtttu44447+P73v8+ZM2f4wAc+QFlZGa9+9asB+PjHP053dzcf/ehH6e7u5tKlS3zve9/D682dtLa0tLBv3z7uu+8+/uEf/gGAd7zjHRQXF/Oa17yGw4cPMz4+zoEDB/iXf/kXRkfn7ctuu+02rFYr//7v/8573vMeysrKWLduHcXFxYTDYc6dO8fExOKZJzUsDEhdqy/x5Y7hgRH2P/40sz5/3m0sFjPbd20jFolx6dzlvNvZHXa27tyiav2j0Wiob6qT/9aipSCh/J34dXNoRtUzlClXgqQzNwCS7x0pLoF4ahLKfUVdWmExJGUbYenf91KsXwRBYL/nNKPRGcU6vaDjLRW7l3QcURS5t+uxRUntXVtfe92kFsCdnuVnocd5KnpqUVKrR8tNpk7ust1Kha5IHsuzs7PSmC7NByQiK0FSQ5adD3QaZswejlm76LKdWTKp1ad0NERWsDd5E53ialxaJ6FQSP7erFYrsViMYDDI9PQ0oVAIQRCw2+3U1dVht9txOBxMT0/L+5SUlMjeuNLfWq1WfucYjUbKy8vp6+v7g34fLOPFxXLGdhl/1BBFkaNHj5JMJtm8ebM8CJw7d45YLEZnZ6ccJe7r6yMajdLa2ipnA0ZHR4lEItTX18vR9qmpTK9IVVWVvMzr9RIKhSgrK5OXSWbmOp2OUCgk97PEYjGsVqt8jtBciK5nz9C2voWSSvUyNKvdwqotKzl37CJzs8GcXltJqj97mVS6mN1XK00a1JZBLlkEZbT8hRxIkokkxw6dYMv2zUSTEWJpZR9RzapK5rxhkjH1jPK1rqf3cr9q5kMURSptpbyu5RZe13ILc/EQJycv8Oi5Z7gUGpK9AbVaDTarmblghB8d+y1fvP3DimO9ofUWTk1dQig0UFJYSdn6Kso0LgwzGhLuGDMeDxP+ae78zHv5wWe+yqaVa1Wv9aOvfRfNVXW865//hkB4Xpxj0jutuv1VPaa8KHIW8Lrb7sDt8/Dte3/Mrx54AJfZTrmjhApnMeX2YixaI+FUbr/rscFcIv2m5lfSM9vHRCiT+Xx48CluqdmBUZebrRcEQZWYIwh8+5lfMR3Kr6BZbHWxs2EDm2tWY9IvrRywsqqCv/vSF9j3xFMM9A9iMhpZt34dN+7aIT/DHpWJLEChsYiwI8KzzzzLv3373wkEAqxYUcvXvvFVbtyzg7t/dTc37t5BdX01N910M/FYnNe88TV86NMfYiI0SSgR4r2ffg++iI93v/vdhIIhOjo7+P7/fI85fZBgMMRsfFb13G94wxu47777eNvb3kYgEODHP/4xd911FyMjI3I1iMFgUPz2si03pG2+9rWv8U//9E986lOfIh6Ps3XrVr73ve/JmZimpiZ+8pOf8J3vfIfNmzdjNpvZtGlTjpiVhNbWVp566il27tyJRqPh+9//Ps888wyf+cxneNe73iVnalevXp1DOlOpFK94xSv46U9/yrve9S5gfvJZXl7O8PAwbrebioqKF6xf0m63Mzw8nNMOsZCsX2v/52rt83xxtusc9c311NSqB20EDbStasPn8XLpfA8r21tUY1gWqxmDQZ8j7CehvqGOngtX5Hd7UcKFx5BLqEUB/NEwTp+JVIEy+BOvjqAN6hBSVxV682Rs00u4h5mM7cIPmrH80aqty943i7SpYWFfquI0goAvMccDU4cV6wBeUbqZIoOS+Kud53+6fs/9Z57Mu817t72ePStvyLteDXExycH4eU7Ee67pJdygq+BW0wZcWpv8W1pMLVoqcdZqtbLQpDRPSCQSRJIRZuxeRk3jxDTXtuqRYE/bqE+uwBmwk4glMJRm3tlms5nZ2VlisRgmk0nuo/f5fOj1esrKygiHwwSDQfm5LSgoYHBwkLm5ORwOB06nE71ez8TEBM3NzWi1Wjmz29SUaduqra3l6NGjTE1NyW4Vy1hGNgRxOeyxjD9inD9/nvPnz7Nhwwa5tHhwcJBLly7R1tYmlxFPTk7S29tLXV2dnGn1eDwMDg5SUVEhLwsEAgwPD1NcXCwLzYTDYUZHR3G5XLhcLiDTazs1NYXVasVms+H1euVeFoPBIPfzplIpgsEgOp0uMyGsLaW6qTJvBFlMiwxeHmZy2C1bAAmCIJcbSqXKQI7X7cK+2mwBKQnZE6SFPntLKjnLsmeQBtVr7bduy1oqqsqZjIypDuxBX5jeo4M5E5ilXg/Alh2bKKtQ2u+o7R+cC/HEo/uYxMsgUwwyxUTYw9j4DHqtjt9/6DuU2ZUlj5/d/29c8qiXNhdiZwVl1FFGgWijc8NaVjY3573eC0NXeOPff5jByUyEel3zKp79N2VP8Dfv+T4bWlexfbW6ONFCTPlm+Pa9P+HHD/8P0fhVklRpAWtuhlknaPnZm/+BthVN1JVVY9AbGPAP85/dP6HcWkyFtYTd1duoss1PzEVRZMg3wXTIx+aaDrSCLue7/Nq+HzMeUPouNhXVsqtxA6vKm5ZssZH9taXFdMatVmXfUCLETHSGRDpJWpyf+Bk1RuocDajN08dDk4yHxvnyX32ZoD/IV3/y1SVdUzbSqTQarQarzsrqYnVbJVEU6e/vx2q1UlhYSDKZZGZmhmg0SmVlJWazmaGhIX784x9TX1/Pm9/8ZmZmZojH49TW1mIymYjH4wwPD+N0OnE4HLJ4VDKZpLGxEa1Wi9/vZ2ZmJkdNGJCFqNQwMjJCLBbD5XLhcDiYm5ujr6+PFStWUFZWxqVLl4jFYtTX18viL5/73OdIpVI88MADDA4O4nK5MJlMJJNJBgYGMBqNtLS0EIvFuHTpEgUFBZSWlsq6AWqqyC0tLbS0tMjX9dhjj1FZWUlHRweJRIKHHnqIiooK2traCIfDnDp1irm5OW699Vb5HfyHDFEUmYv58Xq8FJUWLbqdVqNVZFRPnzzDYF+mF3lOG+JwwRnFvtWRMtpi9YRXzoFO+T7UeQwYRzL96q0dzTS2Km1WHvn149d8F0ddEYLVSrE3Z18h+kju+0etr/Za1TnZyB5zpNaV7w8/xKlAr2LbCmMhn2t8u9y7nw+iKPLfJx/hd9378m7z/u1v5ObW6xOf6k9O8Fj0JAExvOh2FsHIXtMGVuprckqNtVptTsWV1B8rje3Zwe54PC7PEyKaCMOGMabM03IJ81JQGC+gfK6EWnNNRgwwlcLv92O32+WWDY/HI4vFSXOTdDpNXV0dOp2OeDzO0NAQVVVVFBQUyO9Co9Eo99RPTEwwNTXF5s2b0el0hMNhurq6WLNmDZWVlYiiyKFDh7Db7ezYsXSbvGX86WA5Y7uMP1pMTU1x/vx5GhsbZVLr8/m4fPkyVVVVMqkNBoP09fVRXFwsE9hoNCpPHCUCG4vFGBsbw2q1ypMnqa/WbDbLfWHSRFWv1+NwONBoNDgcDnw+H1qtFstVcRtRFAmHw2g0Grk3dnLYjXfGR/uGVvSG3EEfMpHz+rYVWB1WLnZlytWyhVikHrrs3is1sahsr9qFNgTZk4rnEve6nn1OHT1D8Z1FFBpL8MSU5MdWYKG0vgj3gOc52T70Xu5TJbZqmQ6b3Up1dSXaMQ1VFLNNbMdrDvAvul8TTkb56fEH+PTN71Yc6w2tt/CPh36gen4vc3iZ4xS9mAQDB7vO87bYK9jWoW4H1L6imSP/cT+f+8//y+9PPsP0rHomKhgJc+dn38+ONRv53Dv+nG0dGxa9D2UFxfzTBz7Jx97wbr5970/4ySP3Eo2kFMQ2Kab4yP/393TUNLCmqZVN7atpq2/gY+vfKW8zPDzIX3/pExzcf4h4KoGxsQDdrgr2briRzTVKQZsCs10mtjqNls6KlfQ8cpLv/NeX+dzIKGVlpbz/g+/ns3/7Gc6dPccn/uaTHDl8FIvFwmtf/1q+/s2vYrVmAkHvf+8H8M/OsnHTJr7z7/9BLBbnY3/9l3zmc5/mC3/7f/jJj3+KxWLmI3/3Ed741kxvst/j5zt////x2ve8mjPPnmV0aJSysjLedde7aGvL9GnF0wmmwrn9uKFAiCd+9QSjvaNYHBa23bGNQw8fonNnJ+t2ZUjYt//m29z8xpsZvDjIyJUR1t+0ni23buGhXzzE9/u+j9/vp6ioiL1793LHHXcAmd/cww8/zOzsLOXl5Rw9epR0Os2qVat43/veh1arpaKignQ6zdzcHD//+c85ceIEgiBwyy238Na3vhWDwUB5eTkf+MAHePvb305nZydFRUVcuXKF73znO3R3d5NIJCguLubP//zPaWpqYmhoiJ/97Gf09/cjCALl5eW8//3vl1sxJEgZzampKWZmZigvL6e0NPMbampqYnBwkMuXLxMIBJiYmOD3v/89v/tdxsdTskSLx+NotVpcLpfch2w0GikrK+PUqVMcOXJEtvu5Xuj1enbs2MHJkyd57LHHcDqdcj9xPnudPzQIgoBBb6SsvCyjaq9VD/wIgkBazJAbjTDfl93Y3CgTW1vKgjFlIKbNzcrNGGYhJGAYMxNfoSRXyaI4Op8ebVCf974uKeCpUooMV71ss4jtwv7Q7HNIY9RSM7gSqT03N6BKagHeWnnzkkjtL088xINnn1ZdLyDwwRvfxK5m9fe5GkLpKE/GTnEpOXLNbdfqG7jJ3IlJmB/jpfuzMFObncWV1kvEVqPV4NcGmLL1M2Pw5utkUUAQBSoT5dQla7AkLYTiIRLaBEajUVZZl7QI0ul0Tk+vFOAaHx9nbm6OgoICDAYDFosFn88ne9gWFBQwMTFBLBbDaDRSXFzM5OQkU1NTVFVVYbFYcLlcDA8PU1lZKYtIXbhwgVAo9Jx6+Jfxx41lYruMP0qEw2EOHz5McXGxHAmMxWKcPn0au90uT7aSySQXL17EbDZTXZ3JQqXTafr6+tDr9XIJXTqdZmRkBI1GIwsbpNNpJiYmEASBoqIimRhKPSOFhYXyQCyV32i1WqLRKCaTiUgkQjqdxmKxyINRNBplbm6Os0cusnJdExa7ulVEaVUxJouBC/8/e+cdH9dZZ/3vLdOrei+2ZVm25F5ix3Fipzc6JJQFAktbYHnpbanLwlKz7MIusIS6lFATIIEUQpw4iR333iTb6r2Ppt72/jG6VzOaGRUngTjo8AnW3D53Zp77nF8558BZNCX5gFMUBcMw0gis+fBLFaPJ1sf0bFn6pO4/16ztrkee5Nqbr8Ete4momR55ZfXFTAyHCY9m2jTMhqGBYUaGR8nLD6YtN8vPp2NpwxJ6upJekIIgUCAE2Opv5OHhA/zq8J9525aXE3SlK9puLGukxl9G2/jMvYQxEpyhk8+c+F+2jx/mg5vuwC5nBi/8Xh/f+MDnOLT/CG2tbdZ9TEVtcVLA54mj+7nl6D+ybdVGPva6f2JL07oZr6E0v4h/f9uHeM8r3siHfvgVdg2coLFiEU2Vi2mqWEJT5WIq8ooy9huYGOVw51keO7CPez78A7Tw1CQ5sn8C4WQPFz5elfWcAacXn8PD5bVruKJ2Df/+mS/w/bt+wFe+9mUuv+Jyent6OHP6LOFwmFtvehGXbb6Mp55+gv7+Ad7xtn/i/737fdz1g+9ax9v56GNUVFbw8F8eYvfuPbzjrf/Ent17uGLbFex66jF+fvfd/Menvs5NN9+I3TtVMv2Xe3fyxje8gYqKCh7404P8x9f+g699/at4vV4kQWJ5fgO9KeT2oZ8+RDQc5RXvegWiJLLrd7uITGQSgD0P7mHrLVu58mVXWr93X56P9773vXi9Xs6ePctdd91FMBhky5ZkqaIsy5w/f55AIMCnP/1pBgcH+fa3v82DDz7I7bffjsvlwuFwcOTIEW655RY+97nP0dzczLe//W0aGxtZuXKlVfVRWlpKVVUVsViMn/zkJ+Tl5fHBD36QYDBo+W4DfPOb36S2tpY3v/nNiKJIW1tbVmVzURStQGBVVfpnKsuyNZ5u376dvXv38o53vMMqb160KDOrl4rS0lKL4JvYsWNH2utbb701Y7/rr78+7XVhYSE33HCD9bqtrQ1RFK2g4QsJNpst2TZi5O69NDDQDR2R5Djv83spKSumr6cfAYECJUC3lN7WEJPiRMQY7hEnWp6M5s/skY9XRXGdlrOWIs81yJi1FJlkKXLadrOIDs6F4KaS44Su8IvunVmPtTm4nKWe7ErVqef7yd4/8KcT2X1vBQT+6apXc8WSmcfc1OMdVS6wM37EanfJhXzRx42ujVTLxcm+WWNKQTr1mWrei1Svekg+3zRNQ9M1hl0jdLp6CNnm7j9r021UJsooGMvHKyfV2RGnfG5NjQ+Hw0E4HGZiYoJEImFdl9vttsQy3W43o6OjBINBBEHA7/fT29trEeJAIEBfXx9DQ0OWbWIwGKSnp8cisqWlpZw+fZrx8XH8fj/l5eWcPXuW8+fPs3Jl9sqYBfz9YoHYLuAFB8Mw2L17N6IosmrVKutBcOTIEXRdZ9myZdaD8cyZM6iqavVvGIZBa2sriUSCxYsXWw8KM6JYWVlp9dAODQ0Ri8XS+mrNHpOCggJrWSgUIh6PEwgEMAzDElgwjdFNUplIJFCUZDRUiSuc2HeGRStqKCzNrvjpz/OzbttqTh86y+jgGJqmZQhDTe+rNcUlUjG9hPhikHqM+SIWjXP4wBHWrF9NXIuhGZk9tYvWVHFyVwt6DiubmdBy+hwbL8/MaGbL2gbyAhSVFDLQN9Wfucm3jIeHDxBRYvz0wJ941xW3ZRzrFcuu4c59P5nzNe3s2EtPuJ/PXPEuClzBjPWiJLL+srX4/F6rZykV16+8gh+84fP0jQ/SPTZA79gg//LNr1BUXMj7bn8zmxvXZr5fQ0fVFRRdweWzcec7P4hB9vs5HBnncGczh7vOcrizmY7RZMZ15Ocn00itCSOicvwXT8JHM491xaK1vGzltdgkiVAoxDf/67/5+n/9B69/4z8AsGTJYrZesZXvfff7xGJxvv+j7+FwOlm+Yjl3/ufXeOVLX8Xnv/hvlnJ5Xn4ed379TkRRYFnDMu786n8QiUT5yMc+jGHAy//pZXzvu9+nr7OPqoYpe6KrrtnGpk3JzModb34jx44e5bGdj3HzLTcDSU/eKm8lP/+/n3Hs3HG++a/f5NXvfzUlVcnzXnP7Nfzo8z/KeH/L1i1jxWUr0pZdefOVLC5MZkKLi4tpbm5mz549FrGF5CTx7W9/Ow6Hg6qqKl71qlfx05/+lFe96lXW97K6uppXvCKZeS4rK+Ohhx7i+PHjWSdzTz75JOPj4/zbv/1bGuk1MTQ0xIte9CJL1dhUh79Y7Ny58xnt/0zQ2tqKx+PB5XIxNjbG0aNH08bmFxoEQUBi0hInx2/WIEl+JZKCgUvql9DXk/zdFiTy6HZm9usP2UfxxMqwd7iJNowz3a/LcOgoZbGsrQJzHe9nzNia20yS2rkcMxfBnd6m8sDAPoaUzBJot+TgZaUzl7AahsGPn/49D558Iut6QRB455WvYdvS9XMi+EPaOA/GD9CpZddMMCEissW+nMvsDciClBYczkbkrYzs5P2zXAkknR5nH73efuLy3PtnnYqTymgZVUYFEhIJMTknMYmszWYjGo2mZ4NFkXg8jtvtxuPxWOJPZkbW6/XS19dHNBrF7Xbj9XqRZZnh4WEqKiqsyo6BgQFKS0sRRZHCwkKam5sZGxsjGAxSUFCA3W6nvb2dpqYmZFmmvLyc8+fPs2LFimfVenABlz5emE+BBfxdo7+/n6GhITZs2GCV6ba0tDA8PExTU5PVj9rV1cXIyAhLliyxlg0MDDAyMkJlZaW1zFTyLS4utghGKBRiZGSE/Px8a1kkErF6TsxlZgbW7XZbx1NVlVgshizLVsmwpmnWMnNypioqR/ccZ9GyGmobqrP2EtodNpo2LefskRa6WnvS/GrNcuNUX9vUDO70B/LFWiuY2ets1zfXrG13ew+V1RUUFBTRH8vMfNpcNqpWlNF2rGvO12Ses6erl4lQGK8vvWRppqxtKrEttAdY4irjXLSHnx74E2/a9GLc9nSiua1qHV0T3ezpPkH7WN8sMiBJnBlu5Z8f/gL/uu3d1OVVZ92mfvlS4vFMYS2n20leMEBxcSHrHCux2W3YHTZsdhvn+zv5tx99gxdtu4al1TUouoKiJ2bM+IxFJzjS1cLhrrMc6mymNYsKNEC8ObdIz8TpfuKqgtuW/lgpD0yVgp8+lezR3HHNjum7c/rUaVauWolok0g6GhlsuXwLuq5z9kyzRWxXrFgxSfySd7m4uJjGpiSxVHSF4cQQvqCPaDj9vjU1TJFBSRSpXbSI7q7ujN5uh+RADCVFV+oW1RFSQwAEC4M43U4EBCRhqq+xqqYSr82DKEiIgoCIxKEnDvHz3T9ncHAQRVFQVdWqEjFRU1OTZsWzdOlSy8vRzJhWV6d/L4LBIOPjmZN1SGYta2trLVI7HTfffDP/+7//y65du2hqamLz5s3WPb3UEIvFOH78OLFYzKq2eaFnbqyMnSHM+Fs2yW1xSRH+gJ/xsXEKlEDy5zJtiB60j1IdK0NUROw9LhKVmVUxSlEcMgtL5uRhCyDoAmgCSNNUkG1GWmBxvoHRVKI3ndT2xod5ePBA1v1eWnIFPjl3Zl83dH60+14ePp1dcEoQBN515WvYVr8hp3CTCdXQeDpxmj2JU2g5AhImKqUibnCsp0CaXczKfL6ZBNN8nkeI0u8dpNfZjybOfG2pyFOCVMcq8EW9qIqK6BFBmPK0nu57G4lErOe+KUZlCmJ6PB7C4XCajY/NZmN0dNSqTvP7/VYrhiRJ5OXlWW4K+fn51n7d3d1Wpre0tJTOzk6WLUvaXFVXV9Pe3k5XV1fGOLmAv28sENsFvODQ0tKC1+u1emgHBwctARSzN3Z0dJTW1lZKSkqs3thwOExnZyf5+fnWsmg0Snd3t6XYB8nMan9/Px6Pxyq3MftqHQ5H2rLh4WFsNps12dR13fKpNB8YkiQRjUYRRTFN8CkejyMIAj1tfcQicZauWoxsy/zJiqJIw9p6Avl+zp1ozRCLMmES3VRSm6uvaa6Yi02CuV22srHU0qp9Tx7guluvJmDPYyyRqaKbXxlkbCDEaG/2iX3qeaaf69zZ86xenznxzZa1LSgqIK8gyMjQqLVsk7+Bc9EexmIT/PLww9yx6UUZ571pyRWsL69jIhHl4OlmTg600s4A6gz2DYPREd7/yJf4yOa3sLUyM8sKZO21DuT52XJdsj8xWaaoohoamq4SrPGxZkNSeCeUJWMBMBGPcrS7hUOdyYzsucHs4l2pMHQDY6bJrG4wEQvjtrlybmKKjKQioanIgjiZiTKwWd/Z7N8t27TfgJlJ0A2djnAHYCAIpCtNkd2yZLap9JLgInQMVH3S/1mQKPOUsKKgwdqmKq+KRYFa6/XePfv446//yOte9zrq6+txOp3cd999tLRk7/WbCdMzkDP1maf22mfDK1/5SrZu3cqhQ4c4fPgwv/71r3nPe97Dxo1T/YHTS4+fr2hoaLCs2+YLRVEy/F/niulCV38LmNlb3ci0zDGhGRoiIkvqF3No32Hshg2/6mHclm4rN2IbQydZwiwP2lHzEuieaeOVAIY38zs3k9XP9H5PSRXRpPTjpmZsUzOu2ezlZiK904O0hmHw8+5H0YzM61vkKuPyvMacx9INnR88dQ+PnNmT/VyCyLuvei2X162dlYh3qAM8GN/PsB6acTsHNrY7VrHKtjjjeZrtHKnuB+b6kDxBp7+bIefIvPpni2IFlIwXUWibbKWSDVRlisiaqsqKoiDLMpqmWc9YSZIsG8OhoSGi0SherxebzYbdbicUCuH1ei2Ln+HhYcslIhAIMDIywujoKAUFBTidTtxuNwMDA+Tn5yMIAkVFRZaYndmf39HRQXd3NzU1NXi9XvLz82lpaVkgtgtIwwtDaWEBC5hEJBKhu7ub6uqpDOe5c+fw+/1WD20ikeDMmTP4fD7Ky8uBJOk7d+4cTqfTymJomkZHRwd2u93KoJh9taIoWgOwKbQiCIIVXTQMw7Kg8PuTEViz1xaSHm+m8EIkEkHXdUtAyjCSPpq6rlslQKODYxx4/AjhUG4FxbKaUlZuXoE4KTSSWn5sEl3zNUz151xsCfFcFYqn94ia502NOptlVE/t3INX8mEXHVmPVbuqEpszdzwu17V0tHYSj8UzlucqYapblq4ku9q7BLuQPO+P9t2HksWz1W8PIAkyXruLy6qW85qi6/hoxT9wR+nNXJ63kqDNl7EPQExL8K9Pfou7T/4xx7vKnKkICISVCcYTo4wmhgkp40TVMAk9nqYCbCKaiLO37STffvJe3vGLL/OS736Yf7nvO/z68KO0DHbOSmohKVxmrwnkXL9t2zbyvbnXA9QtrcPlcvHoI4+i6hqPnN/DyYEWdHQaGpZx7OjxZKn+5Pa7n0q2FNQvy60kbSKmxukNZ/cLBtKIpabrnDt/joKS7IqzZWWlaJpGW2s7kiDhkByMDIwQDodJ3v3k/7Ke5+w5ltQt4frrr6e2tpbS0lL6+voytmtra7PE3gCam5txOp1WQG6+qK6uprW11Rpjsr+vMm6++WY+/vGPs2nTJh57LLsozgsZcylX7u/v55e//GXa5wNw+eWX09SUKZD2XCA0npsQCYKAKIg5/WUhSdIqqstxOJNjaYGSl7GNJuiM2pLnERCSKshZ+KqQ5Zblstcxx/bUIKOoZI6zuqylbWP+Zz4LzNLkVHHDVK0Ic9n0QM/esTM0hzszzici8JryHTkV2HVD53tP/iYnqZUEkffseB2bF6+eMcAUMxI8ENvPz6OPzkpqG+Qq/tFzI6vtS+YcJDZhYDDsHOFo3gmOFJxgyDU3UivpElXhCjaPrGd5uB6P6rbmByaRTf3em4Q2Go0Si8WsQLDNZrMsfRwOBxMTE9Z3wvSwNY/j8XgQRZHR0VHrmB6Ph+HhYWuf/Px8JiYmiEaj1mtRFOntTWpeOBwOCgoKaG9vt/apqqpicHBwclxewAKSWMjYLuAFhfPnzyOKokVYzZLhlStXYrfbrR7aQCBgedOaxNQkv6nLfD5fWg/t0NCQlQ02o/6jo6N4vV6CwaCVNTGjlT6fz9ouFovh8Xgsj7dgMEg4HLYe4mZG1fShtdmm1CgVRUGJKBx64igr1i0jvyRzkgIQyPez/qq1HN1zgtBo5kN1uvDEXCwUsmG+tjuGYaSR2ennNddNhMKcOnmGZSuWZrUAEiSBJetqOP3UuTmVOJvQdZ3zza0sX7ks67rpWdvS8hJ8AR/RaBS73UbA4eeyiRXs6jtK/8Qwvzu+k1euvjZtH1EQyXPkMxjrx1vgZkVtUkjHzO0YhkHbWA/7e0+yv+cEzSNTqpgGBt8/dg8doV7eu+EN2KTkd1DRExjo2MT0bJwgCKi6krPfLqYkONFznkOTPbKn+9vQLjIrnwrfdYsYvusIxrReZ7vdzr/9++dm3d/hcPL+D72Pj3304yAbLF3TwOmzJznQ+SS3v/Z2/u1fv8Db3vx2Pv7JjzM0OMQH3vtBXvu618xaMmsYBn3R3gxSLwkiAWcQj8fDU088RUV5BaVlZfz5z38GoHR1KS1j56nwlPOVz32ZF7/0xaxZu4ay8nLWb1jP3T/9Ba9+3e1IksRvf30PwWAQh20q6JIsv5MREKzvamVFBUcOHuH48eMUFhaye/duenp6rOCYeb/sdjs//OEPueWWWxgaGuKPf/wjt956q/VddDqdGVlYh8ORtizVD/vyyy/nwQcf5L//+795+ctfTiAQoL29nWAwSHV1Nb/61a9Yv349hYWFjIyM0N3dzbp1cxO+eSFhvgQiFaml4881Du47RFlFKUsb6rKuF4SpAEvO0mQB1m9ey1M791CYCHLBnUn4hmyj5CvJgJQYk7D1OVHK0sv4hSwE2ixFnl55k+2ZIqpZ9penyOtsSM3cmudKXW4iosX4Tc/jWY+xo2ANla5MYbzke9H57pO/5rHmfVnXS6LEe3b8AxtrmnIGgw3D4IzaySPxQ4SNzPaRVPgFN9c517FELp9xOxOpWWnFUBj0DNPt7iUmZwZrc8GpJvtn80IBbEIyq4qAVT1mjiumQJSZnVVV1SLybrcbWZaJxWJWG4AgCBketk6nE1EUGR8fp7Cw0CpRHh8ftwhrIBCgq6uLSCSCx+PB7/cjyzL9/f3U1NQgSRL5+fn09vZSVVWFKIqUlpZy/PhxxsfHLaszSDpbLKgjL8DEArFdwAsGuq5z/vx5ysvLLSJqWvY0NDRYD0PTuiIV2UpZls7gN/psQ9M0/vKXvxCJRIjH45aUPkxlXEVRREDg5IEzVNVVUFOfvWzQ6XKw/so1nD3aQl9Hf5qAVGqPrXns+WI+pHb6pCfbRMbr9eJwOKwJ0XDfCLGaGMXuUkaV0YxjOvJd1K1czFBnZrnyTBgfDaFrBvK0LK0gCiQMBQwD3dDQ0DAw2LhjbfokeJGTXT8/CsD3nv4dL1t5NdI0Qhx0BBmOD6LoSlKlNGVCKAgCtcFyaoPlvLLhWkZi4xzoPcX+npMc7W+mwOUnrEzwxwuPsKF0OfrkdXhkL3mOzCyeJCTLEQESmsLJ3lYOdyZ7ZE/1tqLomVnli0Gpr4DN1avYUruazdWr6fqHVj70/o+wf99+ADZs3MBX7vwSGzbmshya9E02FFRd5f0fey9I8IV//SK93b0Ulxbz1re/Bbfbze/uv5cPvf/DXLnlKtxuNy952Uv40le/OOs1GkBfpNd6nYgnCEcjiIJIvjOf/Px8bn/NbTz1xFN0d/dQUFjAP/3zO9D9kFDjXBi7gJJQ0TTdysS+6R/v4J7f3MuPvv9jvD4v191wHbFoDJ/PhywkS5/z8/Nx2u0IiFay5IqrrmB0dIxf/SrpP7xmzRpuueUWTp8+bV2fz+dj06ZNlJWV8d3vfhdN09i6dSsveclLrG38fn+Gym+qZyQksxom2ZJlmQ9+8IPcd999/N///R+6rlNcXMxLX/pSK3D029/+llAohMfj4bLLLuOWW26Z9d6+0GCWIofDYQ4ePMjg4CC6ruPxeFi9ejV+v98Sxrr33nsBLGuibJ67ixcvZmJigs7OTux2O8uXL0/zDh4cHOTgwYPWZHzFihU8+eSTXHfddZaVXDYYusGJoycZ6Btg3WXrcDqzk+rZSpPzC/NZd9kaDu47jKRLGb2Xg/ZRlkam+r9t/Q7UYALDNfVsyFrGb6T3yM7Ub5pNQMqQDDRBQzQurnAw2/Pnd31PMaFl9gkHZS+3FG/Oehxd1/nOE79kV0v2nlxJlHjv1W9gfXWyjz9btnZMD/Nw7CDntZmV8QUE1tuWcoWjEbswv3J4VVbpdvfR5xmYV/+sL+6lbKKEEr0IAQFVUK3nsCAIlr+sWSZs9tGa2VYzi6tpmuW4YLfbSSQSJBIJK9gmSRLhcNgitW63m3A4bBFZn89HKBQiHA5b45jdbmdoaAiPx2NVvA0PD1NZWYkkSRQVFTE4OGj13pptXuFwmEAgYI2FExMTl6xewAKefQjGM/X3WMACnifo6Ohg9+7dbN26FZ/Ph6qqPProoyxdupRVq1b9rS9vVjz88MMMDw9bDw6TDJqlOabYkflQLSovZMX6BmQ5tyJgR0snzcfPp/XSplr7XGy2drb9pkfVc23v9Xq5+eabnzeqhoZhMBTvR8/SF2sYBrd+9710jCbLSr/64vdx0/LLM7YbjA4wHB+k0luDQ8qcjBpG0ppDNVQ0Q0XTVVQjNwl1Si4KnenBGEVT2dX2NHvbj3Oos5njPedJaDNbSMwVBe4gm2tWsaVmNZtrVlGbV541y2WWvE4XK5IFW8YEW9NV+sIDGVZJJiRkpCyekgIiCVXBacs2qZ/K4vRGemkZO5u21syg+8IBNq7dxCM7H6ZpZVNyUje5TXe4m4P9h6fOJwgsz2+gyluZ4XHZ093DhtWbuPs3d7Ptyq0p703LyJyLiPjsucuy3/nOdzI2NsZPf/rTnNss4LmBSWx37dqFruusXr0aWZYZHx/HZrNRUFBAd3c3Tz31FDfddJM12bfb7VmJraqqNDU1UVJSQmdnJ8ePH+eGG27A7/ejKAr3338/ZWVlNDQ0EIlEOHz4MKFQaFZi+8ADDzAykgzeORwO1m1am9WTOxW6oVvBrukYHhzm+0fvpl3MLNe/amgDDmOqEkBzq8SWTlilrVtLr6Dck55dDE9EePyhJ+f0DInmRwiXZ1YQBZsLkONzz6/MFFRtjfbylXO/yNpU8daqW1gbyMx8a7rGt3f9gifPHcp6PlmUeN81b2Rt1XIgMyCsGzoHlGaeiB9HmUFLAaBYDHKjcwOlUnaXg1wI2yL0evsZdA1jCHN8XhtQFC+gIlKGO570mDV7Zk0NjlShyng8mfl1Op2o6hTxdTgclt1UJBLB6XRagbSJiQkEQbC0RyKRiEUwZVlGVVX6+vrIz8+3Mqu9vb0IgmD18o+OjjIwMGAJQimKwtmzZ6mtraWgoMBys6iurrZayZ5++mlqamos27HHHnuMmpqaS2KOt4C/DhYytgt4waClpYW8vDwrqtfd3Y2maRfds/bXhkkAJUmyHi6pUfDpJbPDfSMcfvIYjRsacHmc2Q5JVV0l3oCXE/tPEY8l0vqSLobUzuY1OFO5cSrM6zCN3p8vMHvXsvWpCoLAS5qu4ptP/BKAu/bck5XY5jnyGIkPkdDi2EU7OrpFXpP/aswuWzQFzdBQdY2TfefY03aMPW1HOdB5kogyc7nbXBF0+thcs2ryv9XUFVTNqVwzl/puNhhA59gAMS1BqTfz96ihIhhCRmbIwOAPe//Cq7belLEPYNmfdGfpqdMNnTJPOeOhEKOjo8lebiOdcpd7yhnxj3J2tNladmTgKOdGWxg+NoRLc7Fy5Up6e3r5xMc+SSAYYPOWTWnnkUQJCRFV13LaJ01HJBJZ6Av7GyMSiVBZWWkJCqZ+n82yzOml39lQVlZmTbIbGho4e/Ys/f39+P1+2traANiwYQOSJBEIBIhGo+zfv3/W60v9DcbjcXbv2sOS+sU0rlyBKGXPcoqCmLM0Ob8wn7de9g/81/HvMRAdSls3bB+jLD5VpitF5KSYVFHCOu50zOcZkq0UGZJ9tsyR2M707NEMnZ91/SXrqNrorWWNf0nmPrrG/zx2N7svHM56TJsk8/5r3sjqyimRstRsbb8+ygOxffRqM1cO2ZDY6mhig23pjD3RqTAwGHOO0+3pY9w5c59uKiRdojhSSOlEMR4hqUBsiIY1lzAzrmaJsUlszYysmaU1y5FNt4PU3lsz6G6324lGo9ZxnE4nExMTRCIRq6zY6XQyPj5uiUx5vV4GBwet4/h8PoaGhizXCVN4ygzmm3MEk3hDknyb6yEpSLgwli4gFQvEdgEvCIyNjTEwMMDq1auByX7GtjbL/+xSgtlra8KU8xcEIa2UWBRFIqEI+x87xIr1yygoyR4JzisKTvbdHicSij4jsahsE4vp5caCmFSpNe1nbHYbNocNu/lvynK3M7ftwvMRL266kv9+4lcYGJzub+Xxcwe5ckmyT9EkWaqhEnTkoegJxhIjcxJmmg7d0Dk/2M2hydLiYz3nmIjnFg6bD9w2J5urV3F57Ro216xiWXHtnCdcM8EwjOR7zcKJZVHCYZP5w5nHecPqW3HImWV4mqEiYEub0O8+dZBTHTOrCY/ER4iomffGY/MStOcxZoQmry97pmdFwXLGE+P0RqYEniaUCC3DF/jpl35Cb3svPp+PzVsu4/s//l4ORV0BWZSTXqJ6soR8umjaAv72SFWSXbp0KQcOHKC3t5eSkpI0kjsfmBkrSI6FTqfTmoiHQiGCwWBa8C4/f24Zu2zfnXNnzzM4MMRll2/E7ck+ds5Umhzw+Hn/urdz1/GfcW6s1Vo+aBtNI7YA9h4XWkDBsBvZfWznaPcDM3nZzh4Imoty/2NDR+iMZXrE2gSJ28u3Z4gXKprKf+/8GU+3Hs16PJsk84Fr72BVxbK0/QzDIGGoPBE/zv7E2VnH9sVyGdc51hEQ59b/qaMz4B6ix9tPzDb3wKVDtVMWLqE0XoJsSKiaisqUsjGk3z8zeG72z6aOVU6n03rWJxIJy7rQZrMRi8Usgmy+jsfjyLKMKIo4nU6r1FgQBDweD0NDQ1Y/rtvtRpIkxsbGKCoqsiohUsWqbDZbGpFNJbqQDDZFIlPjvcvlmlEwbwF/f1ggtgt4QeDcuXPY7Xarz2JkJKlgumjRor/xlc0PqZL6mqYhiqI1KUr1oU1dpsQVjuw+xtKmOqrqKrIe1+V2suHKtZw+dJa+roE5k1tBFLDbbdgd9kkyKmObJKZJgmrH7rAh2+XkMrstZzYh6/udZ5/R3xql/kI21zaxu/UYhZ4Au9sOs766HtVQUXXFmuhYJXNzJLWGYdA63MuhzjMc7mzmSHcz47Fnh8hKosTS4mpuWHo525dspLFkSday34uFYRiMR0OMTYxRVlCaU2t/eUEdD53bw0PndvOiZVdmHgcDzdCQUyRY830BivzZiYBJpLsnMrO1ABWeymRfc20NcS1qWfZMh4DAhpL1PNa1i1BiKjuy4vIVfOkPXybo9OGWXVR5qynKIT6TeqwkwdWZyGK1ZK7/9l3fAiCmTmYmAOFiP5PJ0nYdDd3QkQU5S6BCwJ6lLP6FiMOHDzMwMEB1dTXLlk0Rk+HhYZ566imuv/56ABYvXkxpaSnd3d309fVx+vRpVq9ePW9thenCc/MRtZsJZrZs+rHGRsb4y4OPsu3qbQSC2T1PBUGwevCnlyZ7bG7etfoOfnbmHvb3HQFgyD6KgZGm9C3oAvYON/ElYYQsP2p9Hn2eopr9u23YjQwxptS/56LnMKpMcF9/diXjm4o2UTitJUBRFb6x86fsazuedR+7ZOOD172JpvL074EgCLQkunkotp9xY+ax2S04uM65nnqpYk7BrYSo0OcZoM8zgCrNXRvBl/BQHi4jGPEnx5ZpbUmpfbSqqlq+t6mVW6ba9PQKMbM02CzdN/cziayZtY3FYpY/rdvtJhaLEY1GcbvdOBwOZFlmYmICl8tlkd9U4mqz2dKIrXlMEw6Hg1Boalx2Op0MDk75zJs2QQtYgIkFYruASx6KotDa2kp1dbU1yWhvb8flcqVF05/vsNlsVjbIfMCYpULZvGkNw0jxppU4f6qV0NgEy9bUZS3vlWSJxo3LCRYF6W3vm0ZS7cnX9lTSasvqm/tCh0ByUpic5AkYmsHJoyfRJQPZIfGuTS/lQ9e+hgLPpNexNn8CahgGHaP9ltjTka5mRqJzLzmb8foFgaDHy7rK5byy6Xp2LN6ETXr2P0fd0NEMFd3QcDpsOB2F9I30U1NYkzVra5dt3LDkCu45/WeqA6WsLq3PPCYauiEgCsnv77LKxXgcubP6E8oEY4mxzHNJDopcU/2Iyb5aA9CzTtJtoo3NpZexs/MxFH2qV1nVVUai4xhOg+axZrrDXVR7a8hz5u6NhGRvsCQm71FSZCdZrowgYBhJv970HQSEOZYxm+9HQ7X6eyVkbOKUinq2nt+/F4TDYVauXMmuXbsIBoNWsFNV1bRMDyQnxXV1ddTV1XH06FHOnz/P0qVL03QIngl8Ph/t7e0WoQAsG7hnAlXV2PWXXVx/63UzViSZpcnTs7eyKPOG5a+i0JnPA22PkhAVJqQIPm0qsygIAvawA21YQazI/EFrNg1D0hG03N8tq5pHE5Jf+WmH0WVtVg/b6X9Px697HiemJzKWlzjyuLZwfVpwQNVU/vPRn3Cg/UTWYzlkGx+67h9ZUbbEuh7DMIgYcR6JHOKU0p7zOkyssi3matcaHNhm/f5E5Cg93j4G3fPrn82PBSmbKCGoJZ9B2mR/r3kvzdJiXdctQgpYwXKzrcm0FDSDC2ZpsenIYJYfm5lfk4Sa+9vtduLxuKWGbPbthsNhi+w6HI404ipJUloG1rQ9NGGz2RgfH7fei0l0zddOp5NYLGZdg8vlIpFIPCN/6gW8sPD3N2tdwAsO7e3tqKpqCRLE43H6+vqora2dU7R07969tLa2snjxYjZs2JC27sCBA5w7d85SxXwukfrwMQdtczBPJbWp2UCn24nT5bCIqSRL9HX0U1xZnFNUqqK2jIrasuf0vVzKkEUbcU0locdJ6AkUPUHx8mfWp20YBj3jQxzqPMvhrmYOd55lMJxJyC4GdklmbcVyS+xpSX4l+Z7gs3LsbNAMDU1Xs/aTFufNfJ9WlSzlaP9Z/nJhH+W+Ioo8mQRRNVRkpvptK4tKcx6vK0tvLUCFpyIta2lgICImS4SnZaZMeG0eNpVs4MmePaQST83QGImNEXT6CasRTo2ewm/zUeOrxWfPLoZlQhREEJJEVxDESVKbiWxkOxX6ZFY2GUhQLY4gC7acns9/r1i5ciV+v59ly5axd+9ebrjhhqzk79ChQ5SVleH1elEUxeqLBSw16p6eHkpLS5Ek6aImzTU1NRw/fpz9+/ezfPlyIpEIZ86cAeZmO2SO/9kIkqpqHD98gnWb1mbZcwozZW9vXnQNRa4Cfn7mHgbto/iiSWKbSuztXU6EpiwZW3QSFVEc7ellttnsfwAEVcSYVnqsTRLbXJ641vVPCidO3/ZEqJWD480Z+wK8puxqZFGytlc0lf/8y/9xsONk1u0dsp0PX/+PLC9dPPUedZ2jygV2xo8QZ2ZxvnzRxw2ODdTYS2bUlzAwGHOE6PH2MebMrOrIBVEXKYkWURYuxq4kv8+GaGRkXFPnCCaxTVWwTs3SmtaCZt9sKpGF9PJj8zdgqiGb6sem/Y9Zsjy9VFiSJBRFycgem69tNpulKWKSZU3TrPdiOiaYCszmeaLRKB6Px/qthsPhi2olWMALDwvEdgGXNAzDoKWlheLiYkv6vbOzE0EQrEh9allLLrjdbjo6OlizZo2VEdU0jfb29gzLjecKwbwAsl1GlAQcTjuSLCHJMrJdRpaTDxXZLiPbkq+nl8A9FzBLHP+eMKGMM57FZmi+6A+NTBLZsxzqPEtfaH72RLkgixKryuot5eJ1FctzqAY/e4hrCU73n2P/8UOsW9zEitqZyjWzpGZScMvSK/nW/rv5/ZnHecPqW7JmkzVDSzp0zjD5V3SVwWiyJE0URCsrKYkype7s/pBThDb7NRa7i1ldtJKTQ6cy1oXiUQJOL3bRRkSNcmrkFHmOINXeGhzyzPffQEcz9KyEGmD621R1jfHEGKOJUcbiY0TVKAJgl5wUuQopdpVglxayE9lgktOmpib6+vo4cOAAW7ZsydjOMAwOHjxIJBLBZrNRWlrKmjVrgOTzoLGxkaNHj7J3796LDmzabDauuOIKDhw4wEMPPUQgEKCxsZE9e/Y8K+N3e2sHi+pqycufuYIAcgtLbSxdQ54zwG8O3gfRTOVfQROR1MzfqIGBmq8gjSjIIVuaEj6Qpgeh6zqSKqJOI7a6nF2kL5UYpvqup54jpib4RffOrO91U7CBem+l9TqhKnz9Lz/mcOfprNs7ZQcfvfEt1BfXWsuGtHEejB+gU5u5zFVEZLO9gc325dZvMhup1dEZdA/T4+0jOo/+Wbtmo3SimOJwIbKR7GVFTH4+0zOyadc1ed+tzzHlvprEdSYPW9Ny0LT+MT1rTXsgh8NhEdNoNGoRVTMgbxJVs1IhtTfXrDZLrVJTFCVNrC2RSCDLsvU6FoulEVvT/zbV8meB2C4AFojtAi5xDA0NMTY2ZmVadV2nvb2doqIii6AODg5a2dxcCAaDhMNhurq6qKlJevp1dnbidrvTjL97eno4deoUY2NjCIJAQUEBa9euTVPUjEQiHDlyhL6+PjRNw+/3s27dulnVmdesnjny/rfATPY3FwNd00kkFJS4gpJQkASZ/KqZ+xb/2vDI3ositsPhcQ5NkthDnWfpHhucfac5QEBgWX41V9ZvYHP1KtZVLsdjd1ml0s+lQFHXWD/3X3iMB84/wYSSjML/tv9R6p+q4g2XvzQrwZ2Z1kKe08fVtZt48NxTPNVxhKtqM/1vk0Qwvd92OkKJccBAFERK3eXIYnLbgD2YYbNkZmszkXmlSwNLybPn0RftTypOTdu+0FWA1+ZBEmXsos0SjbpoUbbJ/yUVm3WrVNkm2HCKTkSHTL4DvDYvQUfQep9zhjH3Xu8XEkRR5LrrrrNeFxcXc9ttt1mv161bN+P+jY2NNDY2pi3bsWNH2utbb701Yz+zh9dEYWEhN9xwg/W6ra3N8vmcC2bK2gIcPXScq67ZNqdj5RKWqgsu4o7Nr+H4rmPEw/EMoaZsXrOWh3ZVFHuzA7RMa7fU6xYVEVzTjpFFPCpnptOYEmQTBIGHh/YzqGRWvbhEB68onbofCVXhPx75EUe6zmQ9rsvm4CM3TJFa1dB4OnGaPYlTaLO0B1RKhdzg2ECB5M/pDa+I6mT/bD/KPPpnPQk3ZRMlFMTykuPXDPclNUNuEkqTZJowM7SzedhCkmSaf5vbmKJS0zOuqe9bkqQ0ImtmdAHrHOZrs3Q4lcia9kKQrLwz+3QhSWwDgYBFqM3y5VQP3QUsABaI7QIucbS0tOB2uy3SODAwQDwep6wsWWqradqce5pqa2u5cOGCRWwvXLjAokWL6O/vt7bRNI36+noCgQCqqnLixAmefPJJrr/+eqtk+NFHH8XlcrF161acTiejo6PPipjI3wIz2d8YhoEySVITCcX6W0moqIpKIq6QiCdITJJYVUkuT0VeXh5Lq5ZlHDsXUnvVnivYRBsO0UFcj8+43Vh0gsNdzRzsPMvBjjN0jvbPuP1cIQDl9kLqXOXUuSpY5CxlzcomljXW/1XILMDu80f45qN38+iFvTStXJy2TpHhBB28f9edND5Zw1uueCXLa1I8Ig0jMwWJQGp576byVZwdbKNnfAgRGSObbzDJ0slcis0xLYosyMiCjEO0T5bq6vjs/gwil3yd7TeYnYYXuvLJdwaZSEQIK2E0NOyiHZ/dh8vmmlY4bCSPIAizEtxsn5pmaFm9R102Fy6bG0M3kKX0FoQ5wTDQDH2yZFxkJm347u5uHA7Hs2aNduTIEUpKSigtzV1GPl+cOnUKj8dDdXX1s3bMvwZaW1utzNLY2BhHjx6lsrLSmuA/U4wMjdDR2kFV7czBWxO5SpNL3IUEdmzhwJOHGBlKry7Jqoo8ua9h14kVh7F3pbPW6cJPopI5buuynrM1IBcMw6A3NsyD/dktk15auhWfnAwaxNUEd/75hxzrzl6u7LI5+dgNb6WuOPmd6lAHeDC+n2F9Zr0DBza2O1axyrY4g9yZiMoxejx9DLqH0MW598/mxQKUTZTgS3izVq1kI7Kmc4JJXFP3Sc3qSpKUVrJsXneq9Y8pGpVaKqwoSkZ22CTQ5jHMZ7P5fDYzsqlk2el0pr0GrGOafbjmMUyBKVEUrZJomLIASrUEWrD8WUAqFojtAi5ZxGIxOjo6qK+vtwbb9vZ2fD6flUEdGBhIU/qbCTU1NRw7dswaIIeGhtiyZUsasTVNwk1s3LiR3/3ud4yPjxMIBGhvbycej3PttddakUbTV/dSRce5TkZHR9MyrYmEgppIJ6mppWIX65M7HY8++iiBQABBEGhrayMQCDAwMMB1111HXl6y/C6RSHDvvfeyfft2iouL6e/vZ+fOnVx11VUcPXqU8fFxgsEgGzdutMoUZ4PPFiAeTyeqoViEI13NHOw4y6GOM7SO9j7j92ei1J6fJLLOCpa4ynBLyXKrQNBPZXUlNYurLUGl5wqKpvKbg3/mfx67m/1tyT4087PMVjZpc9k4S3eS4D5Rw1u2vZKG6iWT/axZJsIpf4uiwC31V7Gr/QB20YaiZydsJrHNNvGVRRsO2YUkSMiiHcVQCMg+7GL2Et2Zv42ZRFwURAIOP0Hn3AToJkMOIKRYH81lP0FENNKvTwBEYXISOZ+KVQPiepyR2AgxPYZdtOOUHLjlme1GzAzPs4VUW51nC6lllZcSYrEYx48ftyxPKisrWbly5byOMVvW9sSxU5RVls2LLGcrTXbanWy+chNH9h2lu7PHWi5k+f3rKd9YpTCONGJDiqSfP/V6s3rZCklyK+VQTc4GwzC4u/svk37g6ah1lbI1rwlIktqvPvwDTvRktwtz21187Ia3sqSoipiRYGf8KEeV87Oev0Gu4mrHGrxiksinkloDg3H7BD3ePkZdc9dQEHWBokghpeFiXGq6J/1027DpxDYVqaXaqQQ0NYsL6UTWzMCa28iyjKIoaf26brcbn8+HLMsYhmGVBKf64LpcLmvOo+t6WrVbIpHA4/FYrwsLC3E6nVYZcWFhYVqZcWFhIXa73TpeYWGhVcYMUFRUlEaqi4unhAIXsIAFYruASxbnz59HEAQqKpIWNxMTEwwNDVFfn1RbNQyDnp4eiwDNBqfTSVlZGa2trRiGQVlZmTWwmgiFQhw/fpzh4eE0yfpIJEIgEGB0dJS8vLyM/S5l9LT3MTKSuz90uljIs0VqTbS2trJkyRKuvvpqAB544IE57Xfs2DFWr16Nw+HgwIED7Nu3j2uuuWZO+zplF2pEZ1/7SY52n+Nw51nO9Lc/ayWdxbZgksi6K6lzlVsZBsMwcLldVFZXUFldgT8wNyL+TJCIJ7hwrpUfH76P/9h9d9o6wzAIh6P4fLmJkeyUOUMX79/1NZrEWj50w1uoKqrM2G76vQu6khmJ4+2nWVpRS0yPZuwDIGoibtmbQbyGYgOcGjmBXbQjAHEtTmP+SnRDy/opmeWX88kOQbKMed6cTxBANyYn/+bVZDvItMyykfQMTWap517erBsG44lxeqLdqHqmyI1L8rAivzHLnkmYPXLPFkxrjwVAQ0MDDQ0Nz+k5YtEYZ081s2Ll8nntl600WZIk1m1ei/u4m5bT56ztpiNNCE2AeFUE11kfgjElZpSKbBlbSJYjz4fY7h87w5ksonECAq+tvAZJFIkm4nz14e9zsvdc1mN47C4+fuPbqC2o4LTSwSPxQ4SNmfte/YKb65zrWCJP9e9bRFHXGHYN0+PtJ2yfu0q+TZOT/bORImz6zNPxmQIbqcTVfAabSsZmFtfEdOsf09PWLB2enml3u93s2LHjOa2UWrFiRdrrurq6tNfTW8mKitLbl6aLfi7g7xsLxHYBlyR0XefcuXOUlZVZPRodHR3IskxhYSGQJKHz9bJdtGgRhw4dArL3YD3xxBO43W42bNiAy+XCMAwefPBB68HxXJfJPp+QGh2eqzXDxcDr9bJ69WqAeZUbrVy50orkLl++nF27ds2rlPlIeysfv+/b87/gLCjzFlItFFLnqmCJq5zAtAyaLMtUVJVTWVNJQWF239bZYOgGgjh3BjY+FuJc83k62zqRbCIbGxthd+Z2siJNKyTODofLySs334LH5Z1lyyncUHc5BiptfZ1IkkRBXmZ2VEMjrsVwyumljgaQmCwXVw0Nr92Lx+7J0hebRPI9TGVSzTI/gaRaca73l5zAz43cJk9tYBcdCPJzWy4+HU7ZRbG75KL2fbb9vpcvX542me7r66O9vd1q44hEIrS1tREKhRBFkWAwSE1NTZrd2YULFxgeHkaSJKu15O8Zs2VtW86eo2ZRNR7vzNn56chVmtzQtAyP18PRA8cQs4wr+rTrMFw6SkkMR587a2Y9a8YWU0BqbkJoES3Ob3p3ZV23o2A1Vc4i4mqCLz90F6f7LmTdzutw8/Eb30ZeXpDfRJ/gvNaTdTsTAgLrbUu5wtGIPcV3XRAEdEmnx9VHr6efhDSzanIq3Ior2T8byZuTFdf0rO30MuC0a5q899msf1L3mV5aPP17ZR7H7GFdwAIuFSwQ2wVckujp6SEajVr9Vqqq0tXVRUlJiTVw9/T0YLfb04SdZkNpaak1oJuqyibi8TihUIgNGzZYEcPpxuDBYJALFy4Qj8dfUFlbE9msHFIfus9FqeBcM+7TkephbJY4xWKxNDGwmXDLiiu58/H/o3t8/ubvHoedkrwApXkBqgoKKfD40WIaKAKDRh8juoQdB3VFi1lWUk9VYeVFZbhSo+xzJbWqonLk0DE6WjusZfVrl+AudE/2U0+z5IgluHHZBvonQqiKjdP9bRnWF3bRxicufxsbynJnBYejY+S70omrTZLRDYHqknIMw2AsOo4zy+8mYcSRdRk5pcxYmtZ7W+6umOWdm5nQSbmmtNslQg5yO6nNmjXTa5jCTEYqYX52y3ovVZjf566uLrq7u2loaMDn86GqKidPnqS4uJiamhpL8K+5udnK3LS1tTE+Ps6yZcuQZZmOjg7C4fCcf7svBJTUFDMRCaHE5yY4pGs6J46cZNPWjRd1vmyet1W1lbjczqxjSza7L6U4jjzqQIxljmUzZWznit/3PcW4mpkRDcgebi3eQjge5SsPf48zfa1Z9/c5PXzshrcy4JvgnvAelFlEEYvFIDc6N1AqpQcbY1KcXl8//a5BdHHu1x+M+SmbKMEf9827cmS6KFfqcsMw0vpoUz1szd5b81mR63hpZeNZMu4LWMClggViu4BLEi0tLQQCAYu89Pb2oqqqFdlXFIXBwUHKy8vnNckURZEbb7zR+jsVdrsdu93O+fPncTqdRCIRjh07lrZNVVUVp06d4sknn2TVqlWWeJTT6bQyyc8Ujz76KMFgkLVr13LfffdRX19vlV/PhPlsmwqLOGWxcgDSfPRSMVN2YT6YrW8s1wP4mZZCyqLEHRtfwhceuWvWbV12m0VkS4MBvC5H2v0KKRMggSgJLA4sZlVhEw15y7BLM0n6ZEeq/cVcI+mGkSyLlQQR2SazcnUj0XCEwYEh8kvyKKpIigY1lNVwsjs909Ha149dkqkJFrLdvoNTg2c4JJ/hlNhOOJFAEmQ+c8U/sbp4ZhGww72n2V67MUMMShQkREFCRyPg8pPQE1lLvqNaBI/gs/ZP7Tl2y26CjiCTNyZr1jb5eUwntFO7QG6f2eT9S1Li6UR2vqitreW9730v733vey9qf4CdO3eyY8cORkZGntcWFz09PfT29tLY2GipAPf29uJ2u/n+97/Pvffey+HDh1myZAkHDx4kGo1is9kYGBigrq7OGt/N9X9PaFjaQO3iaoZHh2k7185A1xC6qs84rnZ39TDQN0BRycUpzWfL3hYWF07+nf7bMLIlKEWIV4VxNnsziJuo5MjY2uamgdEa6WXX8NGs615VdhW6pvHFB++iZaA96zZ+p4e3X/8aHnOepC8+s/WaDYkrHE2sty21xhsDgwl7mB5vH8PO0Zml31MgGAJFkQJKJ4pxq67Zd5gF00uOTUzXEpkuIpUrIwvpmd5srxewgEsJC8R2AZccQqEQfX19lgCHYRi0tbWRn59vZeb6+voALkrl0yyHmw5BENiyZQuHDh3iwQcfxOfzsXbtWnbu3GltI0kSV155JUeOHGHXrl3oum7Z/TwXuPbaa581dc1cWL5+GQefPEQ0Ess6ocolFvVcKEGnSv+bGB0dfdbPY+K21dfz30/ezVhsIv06bDKleQFKgkky63c7ZwygVHorWFnQRFPBCjy2+WedEloCSRCnBIXmiLH4OHv79nGw/xBRLYYkSDgkR/K/QjuqR2XEM0JXWzcOyc72tY14gxIJRSWhKMQVlbiiMBIOsbqkkc5znYiCQKmYT793kHIxyDtWvZ6leemlrNNL5yCZEfrtqT/zyhXpdigAsmAjYWhJFU7RRkJPZGxjYBDVIrglj6XWbaLYlS4eMpfS6elI6jRlZqxT31O2LNV8sW/fvr+bzOPw8DCNjY3WuAxJPYJQKMT27dvZunUre/futdbFYjFL7Cb1HtlsNkto5u8JDslJWUE5pfllxNZFGRgYoO1cOyO9o7kq7jl2+AQ7rrtqXm0J0zFdWEoURAxDSFMvFybErKLiukdDLUxgG0yvvBB0gUmB7vTt5dl/U7qh8/PuR7P+pld4a6h3VPDvD3yXc4MdWbYAv8vL9Vdv58+Ooxj6zCPDYrmM613r8TOpe4DBsGuEHm8/E/a5t8LImkxpuIiScBE2/Zl7TqcS2rkKYk7fzlQeNhGLxdICJaZSMZBWkbWABVxKWCC2C7jkcO7cOWw2m2UlMTY2RigUssrYUkWj5kL6Nm3aNOP6K664wvq7pKTEyuiaSPVGBPB4PFx++eVzei/PFKkTxucKHq+b9Vet5fjek4wMjqatM7Oif62HnyzLFBQUWNYfpuLocwWP3cVr197M9/b9lpKgP0lm8/wEPe5ZCWahs4CVhU2sLGgi3zn/cmrd0GkPdaAbOlXeSqR5+Jd2TnSyu2cvp0ZOpxE1zdCIqBEiKeV8gxND1t/ePJHteelCHgAqKgf6j4AP8CWzEMV4Cdj97OrZxdP9T+MQHThkOw7RwZUV2/Db09XAiz35fOGJ77Ktej0l3vSAkyAIyIIN1VAQBRFZkFGN9BLMM6fOsuvRJ5AFmWuvuQ5vdXLi6ZZd5Dny5pxBmQmCkHxvubOxAgktzlBsmDxnHk5p/u0G04VPXugYGhqyBP4gOdkOBoOsWrUqY1u73Z4WtFpAEoIg4JLdVJfVUFlaRSQRpq+vj9az7UyMpJOt8bFxLpxvZXHd7H3TESWK25Y9YDBdWEoQBDCkyeCOgaGArd+BUpJpi5YoiyKNy4gJyToWRrIcWXdMyyzOoRT5seGjdMQy7dRsgsSLCjbzxYe+y/nBTEEpAJ/LQ/1Vy2lx9814Drfg4BrHWlbYk3Z/CioD7kF6vP0k5MxAWy64FCdlEyUURvLn1D87G3JlaM11QIbGh0lop78WRTGDrKb+nUpsIalpYWqYPFP88pe/ZOvWrWljwVxw/Phxuru7M/yh/xrnXsCliQXZwgVcUlBVlQsXLlBRUWEN2u3t7TidTqsXc2RkhHg8bk0gL+WSGlVVefrpp/ntb3/L73//e86cSTeZv++++zh79iyQfEAdP36c++67j1//+tf8/ve/n7F87/z589xzzz1Wdnsm2B021mxdRdWSqQdDLkP65xobN27EMAwefvhhDh8+TFNT03N6vrdveQUfuOnlvHLTFWxcXE+JPy8nqfXZvGwpvYy3Nf0j7179T1xVsW3epLYj1Mne3v20jrdR669hcWARNmn2iL9u6BwfOsFdJ37AXSd+yInhkzmzj88UhpBU7w0pIbrDPbSOt3Fm9CxHB4+zr/8APeFMQZYidz5RNcbX9vww6zElUeaJ7j3cc+4PPNT+CMOxZLmgYRh84gOfYvv6a/jkBz/Nxz7wL2xcs4nPfejzGIbB0mA9wnSv25TP57qrr+d9/+99fPD9H6S0sIyqshq+993vEw6Heeub30ZBoIjl9Sv4w31/IKyE6Rns5I7X30F1WQ35vgJWLl/Fj3/4Y+t4DslBoauQPT1P80jHTtat38DnvvhvqHqSiL/qFbdhs9mYmEhm+Ts7OxEEgZaWpO1IbW0tX//611MuVeCuu+7iZS97GW63m6VLl/L73/8+7e388Y9/pL6+HpfLxY4dO2htbc24f7/5zW9obGzE4XBQW1vL1772NWvdN7/5zbTfyb333osgCHz721PiaNdeey2f+MQngKQP7Y4dO/D5fPj9ftavX8/+/dl9Q8338J3vfIdbb70Vt9vN8uXL2b17N6qq8uIXvxi3283ll1/OuXPn8Hg8RKNRvvjFL7JlyxZcLhcul4unn36aLVu2UFxczPXXX89VV11FW1sbkBwHH3roIV7ykpdYbR0ve9nLcl7PpY4k2cgeXBEFEa/Dx5LqOrZfcxXbb91G/eolONxTBOT08TMZ2bls6Jzo5sjAiZzrBUFAEiWrOiJZKSEBAoZuYOt1IsSzTCMlSFRGLUJsedlmEZBKikflxqgywR/6sqjaATvy1vCdv9ydk9S6XE4qrlqMOovj3irbIv7RcyMr7DUoskKrr51DpUdpC3bOmdQGYj6WDdaxqn8FxZHCZ0xqU1tNzJ7Ziwkgp/rsmnY+5nFtNht2u91KAJgWO2bVms1mm3NFWDQa5eDBg9x///38+te/5g9/+AO7du2a0/xiJixbtoyrrrpqTtseP36chx56KGP5i170omfVU3sBz28sZGwXcEmho6MDRVEs0ahEIkFvby/V1dUW2ejp6UnzUBsfH/+bXe8zxZEjRxgYGGDr1q04HA6OHTuWs6+us7OT5uZmNm/ejN/vJxaL5SzTPX36NKdPn+bKK6+cc7m2KArUr6pj0fJalHiC9IJP0zsv2d6YzvsEK5uWvljANkuP6Y4dOzKW+f3+DNue1Kx5cXFxRhY9Ly8vY9lc4bG7eePy16IaKpqhYmCgGzqKrhDXEiiaQnN/F3nOIOsqVmT0kM4FA9FBTgydRDM0VhU2sal07vYFUTXKgf6D7O07wHji+fFdz3Yd+a4AkiCyu/MIj1zYwzWLNmdss6F4Pf9z7NvEtQRnRlp4fcPt3H3XL/net36Qse3Pvvdz1EKFV3/2tTDpA5srif6TH/+U93/w/Tyxexe/+uWv+ed3vYd7772XW158M+/50Lv5n//6Nm978zs42nyQL3z2i5w6dYp7/vAbCguLOHfuHNHoVBbRICmWdWXlNvb07GXRusX86c8PsvbVG2jKW85TTzxFMBjkiSee4MYbb+Sxxx6joqIiw8IiFZ/97Gf58pe/zFe+8hW+8Y1v8LrXvc5qr+jo6ODlL38573rXu3jb297G/v37+cAHPpC2/4EDB7jtttv4zGc+w+23385TTz3FO9/5TgoKCrjjjju46qqreM973sPAwABFRUU89thjFBYWsnPnTt7xjnegKAq7d+/mox/9KACve93rWLt2Ld/61reQJInDhw/nbNEw8bnPfY4777yTO++8k4985CO89rWvZfHixfzLv/wLiqLwla98hXe/+9387ne/o7+/n+HhYXRdJxaLMTExwYtf/GLe9ra38fOf/5xz586xe/duQqEQkUiEH//4x3z0ox/lXe96F3fffTeJRII//vGPWa8jpkYx0DF0g7HQGJFwhEg4iqqoeH0+SkqKsE8TKItrMRJaZqbYa5sSO0uocU70nKBH7QFpbgEjUyU7F+yijeX5TVR6qmByXBERk17IcyimlwSJgCtIoD7I0rp6xsKjdFzooOtCD6dPnGHV2pn9chf5q/ngrs+ypWwDr6i7JWcALbM0WaKwuDDZ2tDhJlY3kbGP5ldR8xRsI1NjvKRIqNOE52bL2P6mdxexLK0JRbYAe/bupX04u6qx3WWndvtSHN7cVU35oo8bHBuokouYsIU56zvPkHN4Xv2zBZF8yiaK8ajuue002zFT9CxmI7Ozedymvp6+PtfrVOVkQRDmRGzD4TB/+ctfsNlsrF69mkAggK7r9Pb2cvDgQW666aZ53wfz+mcbd+aCv8c2hr9nLBDbBVxSaGlpobCw0BIi6erqwjAMS8E4FosxMjJCTU2Ntc9MHqzPZyiKwoULF7jsssus97dp0ybuu+++rNtHIhGcTqelDO3xeLKS1iNHjtDW1saOHTvSlIPnCptNxmZ7doYOWXjmD62/BkRBxCbYsWGfFFbRcIhOAnYZWZCp9c/fLkU3dBJ6nKgSxSHZ2Fa+FUmcu62CMSlg9J3jdzEaH5v3+Z9LjCdCGctkUSLPFWAwMsJ/Pv0TNpY34XekK5YHHH6urtzBn9oeJKbF+GPrQ3zvf76f8zyP/+wJ5M+lfIdSoiqpYZeVq1bysX9JkrYPf/RDfPXLX6WwsIi3v+0dAHzqU5/i+//7A86dbKWns5e1a9ayftIbsaZ2aiyxTgNIiGwt20zL9S/mw//0YW6quo6TJ05it9u5/fbb2blzJzfeeCM7d+7MmXEwqx3uuOMOXvOa1wDwhS98gf/6r/9i79693HjjjXzrW99iyZIlVgZ22bJlHDt2jC996UvWce68806uueYaPvnJTwJQX1/PyZMn+cpXvsIdd9xBU1MT+fn5PPbYY7zyla9k586dfOADH+A///M/Adi7dy+KolgtFO3t7XzoQx+y/FeXLl2a8zMw8aY3vckKHn3kIx9hy5YtfPKTn+TlL3854+PjNDc38/nPfx673U5jYyOGYRCLxThy5AixWIxQKMStt97KkiVLqKmpYfHixQwNDXHq1CnuuusubrzxRt73vvdRW1sLYFmAZX42Ojo6giji9rlw+ZykjoKaoTIWjiCKEk6HY5KwqShZ1JAMpgR47DY7a6rWsFxbzoHO/ZyPnseYgyLuTNlXgO5IN6XuUjaXbCXgCCRLTg0dAx1JmPs4K4syBb5CClYVsqKxkZGxYUZCwwS8wZzBNptkY2lwMY937aFl9AJvbnwt5d7sllHTS5MDwQAbt27gwO6DqEMJ1IJM8pmoiCKHZITJTG02ASlDMtBFHVHPXHdqoo0DY2ezXs/EhWF6cpBam9vOkquW5SS1IiKb7Q1cZm8g5ApxwnuGkCOTnOeCpEuUhIsonSjG/iz0z0Kmfd5csrMzEdlsx0gVHpzP69lw4MABIFPzIxAIpFmJxeNxnnzySXp7e3G5XKxevdoqD+7v72fnzp1s27aN48ePMzY2xpVXXkl/f39aKXJ/fz9Hjx5lbGwMURTx+/1s3ryZ/v5+Tp48CSRLjyFZ3bVo0aKMUuQjR47Q1dVFNBrF6XRSXV1NY2OjRejN8uf6+nqOHz+OoiiUlpayYcOGZ4VoL+C5xQKxXcAlg+HhYUZGRiwhJsMwaG9vp7Cw0Bpsenp6kCTJKksOh8OXbM9WOBxG13Xy86esBhwOBz5f9rqqqqoqmpubuf/++yktLaWsrIzy8vI0deAzZ86gaRrXXnvtvGyQ/p5gGEZGxN6cKAgIyKKMgO2iLF0Mw0hOovUEOgZ20U7Qkbu0OdcxUkWM3tJ4B4qeIKEliGsJEnry37gWn1qWslzRFFRdJa4nt4mpceJa8r+LVfqdjlyZ42J3PoOREUZi4/z3vp/zsSvemrHNppINHBs6TudEF50T3bS3ZheEAejt6EVTVbDN3Ou6ctVU5kqSJPIL8mlqmrImMgNHAwMDvO3tb+PVt72Gw4ePcM211/CiF9/K5suT2eWX3PpSnnriKQCqa6o5eOQAL73+Jbwz9E6OHj7Gnt172HblNrZv384Xv/hFAB577DE+9KEPAXDixAlUVWV4eJh9+/ZZAbr8/Hz27t1rebr6/X76+5M9hUePHqW+vp59+/YB4PP5WL9+vXXtuq5z5MgRtm7dytNPP43NZqOkpIStW7fy9a9/nXA4TEdHBytXruQXv/gFtbW1nDx5kne+8518+ctf5tFHH+Wee+5hzZo1nD59Gk3TeOMb38hb3vIW/u///o9rr72Wa6+9FpvNRiwWs4Jmy5YtS1PlTu2ZNe+nKfDn9/vZunUrsViM8fFx/H6/FaC87LLLgCS5v/HGG7nuuuu49tprue2226ws98mTJ3nXu95lkdpnAkEQcDiT35dUcSS37JlUv9YxDB3dMNAMDRFxyvNYEHDKTi6v2co6dR2H+w/TEmrGEHL/bkw17pkIbm+kl9+33sPKgtWszF81GeCSJseLyX5JYe5BL7tkpyS/FMMwSGhxNENFEmUcYqbI3YqCek4On6U73MeX9n+TVy69hW0VmdUU5ntJVU0uKink8h1b2Lt7L8P+fgzbtPcnG8QrojjbktVToprD8kfWERPpxFbRVe7ufjTr9vK4Tk93blJbt70Bhyf7mFApFXKdcx2aL8Fx72nicmaPcC44VQelE8UURQqQjGfH2/ViCG22Y6TuO1eiOtvrubQZxeNxent7WblyZdbsbmqP7okTJ1i9ejWrVq2ipaWFp59+mltuuSXNGvHo0aOsXr0ar9eLzWazxkHzep588kkWL17M5s2b0XWd4eFhIDn/GRsbo7e31wok5iKhNpuNTZs24XK5GBsbY//+/dhsNiuQBzAxMUFXVxfbtm0jkUiwe/duTp8+bY1pC3j+YoHYLuCSQUtLC06n0+qdHRwcJBqNWtkEXdfp6+ujoKDAInODg4PPuWrw8wVut5sbb7yR/v5+qwTozJkz7Nixw7ofRUVF9PT00NHRwfLly//GVwxDkTHyHc8vMZ1c0wpREC7Ko9ScnGqGgmZoSIKEXXTOOzurGmqGd6t5XbIoI4sybtvcyuFEQcIludMyOYZhoOgKO5v38ub/+xR2m4zDZsNhk3HYZV6ydjsbFjWkE2Z9ijgn/42T0JWsGVuAQvdUv/EfW3bxisarqc9bkraNIAi8eNEtfOf4XWjoeIq8hPqyE+XyinIkWUZDRTREEMSpmESK7c/0CgNBENImPamlfzfcdANnz5/hgT89yCN/foSbb7iFt//T2/j3L/87//Od/yEWjU4e05bMXAUCrFq9iscfe5yn9zzNNddey5VXXsntt9/O2bNnaW5uTsvYmpPFxsZGS9TF6/XS1NRkebqmCsUYhoHb7aapqQlN0+js7KSrq8s6Xk9PD6qqUlBQwOrVq0kkEmn9lWfPnsVut3PzzTfzgx/8gN27d9PQ0IDf7+fKK69k9+7d7N27l7Vr19LQ0ICqqtxxxx284hWv4NChQ9x///186lOf4lvf+have93r0DSNUCiUMQnOdj9z3eNs+MEPfsB73vMeHnjgAX7xi1/wiU98gocffpjNmzf/1UoJzawkkyRSM1S0ybcpWP7HyX8dspPN5VtYqazi6NBhzo2fmzEwNBvB1Q2dI4OHuDB+ji0lWyn1lE2KqsnWvdYMFQFxzu0OgiDgkJJZS8MwiGlRdEPHJtqxicng3PL8Kfs3RVf4+Zl7OTXczOsbXoXLliPjmeJ56w/4uGL7Few5spu+gu6MbbU8BXVEQR63zWD5o8O0hO+DA/sZSGSpRNEMhlp6sx7H7nFQd9Uy7FlIrQMbV3lWkh900eppRRPnpiwM4It7KZsoIS8WsL4DzzQI+EwI7cVa6c3H8scUmpoNppZAroB7Kmpra602spUrV9Lc3Mzw8LBl0wjQ1NSUsx9WURQURaGsrMwKzPv9fmu9LMuIojjreGEKjUJS7LO+vp6Ojo40YmsYBps2bbLGsJqamjQ3jgU8f/H3MeNfwCWPeDxOe3s7S5YssR4G7e3teDwea0AdHBxEVVXLL1bTNIaGhtJKYS4leDweRFFkeHjY6hdOJBKEQqGcyqqyLFNeXk55eTl1dXU88MADjI2NWRns/Px86urqePzxxxEEIW0g/2tgKDzK/o5T7Os4wb72k/gdXh58y+w+sX9NmBO2i8nImjAMg/H4BI+fP0iRx8+qiqXIgg2n5JhXD26ylzeBoicQSCqjZrve+UI3NCLqBC7ZY2WCBEHALtm5fNE6RkORDOGpRb52/vnyN8x67NQs03QUe/LTXu/tOcjiQA3yNMXnYncxW8su5/HuJ1jzkjXs+t/Hsx7vjn98o5VhVw0VEREZOa0c+WJQVFTE69/wD7z+Df/Ad6/Yysc/8nH+/cv/TkVFeca2BgZXbLuCx3Y+zv59+/ns5/6V/Px8li9fzuc//3nKysrSvKMFQSA/Px+3201nZ6d1PjN7u2TJkmSmbZKcrl69mt///vfWZG26p2sikaCuro79+/fjdDotpfQnn3ySJUuWEI/HWbFiBddffz0f+chH2L17N6tWrWJiYoLt27fz0EMPcfToUT796U9b11BYWIjdbud973sfb33rW3nZy17GPffcwz/+4z8CPGd2RWvXrmXt2rV87GMfY8uWLfzsZz9j8+bNrFq1ikceeYQ3velNz8l55wJj8n8Wn5n81ybJbCjeSEPeco4PH6M11DrjcWYjuOOJcR7s+BNLAkvZULQRpzyVZZUFm0U2VF1FFOZHcp1S8jukGzpRNQIYFDrzCDoCae0MhwdO0Dvazzsb3khhUXb/9dTsrdPpYNv6bTzduocO2jK2TVRGkE775+xl2x8f4aHB7GJlkY5RDDUzOGL3OKjbvgy7O5PUNrmrWVxQyJh7jG5hjm0bBhTG8ikNFeNTvTmVhOeLZyND+1wgm5ftXG2F5opUbRBZlrHZbMTj6Rlzc66SDaYw3uOPP05JSQklJSVUVVXNO/DV3t5Oc3Mz4XAYVVXRdT0ju+vxeNKWOZ3OjGtdwPMTC8R2AZcEWltbMQyDyspKINlPOjAwQF1dXZpolM/nsyZ2g4ODwNwiic9H2Gw2Fi1axJEjR7Db7TidTo4dO5aTcF24cAHDMCgoKECSJNra2pAkyZqsmigsLGTbtm3s2rULURTTJt3ZMDY8hqIp+IJeJDl3llFJKIyPhNIejuOxMEf6mznS18zhvrO0jaVH2leWzt6799eGIIiI5iR2Ggx0BHLfg6n+OAOP3cVNDVut7MZ8iLL5/R4dG7UmPrIks6IxM8s+3D9Cf99AytUaGfNlg2QEvmppOXLKZxhKjOKRfWkiXl6Hm6aKOo52pve2HWg9hU1IF/sKJUK4bG7k1DLJGd5mkTud2F5Rnr3kEWBH5VVsKtnAxIq38O6Bf+aP9/wpbf1LX/5SPvjR96ct0w0dnaRi88Xis5/+V9atX8uKFSuIx+P86f4/0dCwbEZv3Cuv2sa3/vtbFBUV0dCwDIDt27fzzW9+k1e96lVp26Z+DyKRpO1Sc3Nzmp8rTFlv3HHHHXz1q1/lDW94Ay960Ys4ffp0mnBSUVERt99+O3fccQfvf//7ee1rX8uJEyf45je/yRe+8AUcDgcOh4NVq1aRl5fHL3/5S+68806i0Sjbt2/ngx/8IIIgcOWVVwJJddPPfOYzXH755fj9ftrb2zlz5gzbt2/n7NmzRCIRXv3qV/PjH/94Vqu0ueLChQv87//+Ly9+8YspLy/nzJkzNDc384Y3JAMpn/70p7nmmmtYsmQJr371q1FVlT/+8Y985CMfyTiWZvWnClYf+jMJUs0FBgYem4fLSjazLNjA8eFjdIW7ZtxnNoJ7bqyZtrFW1hWsp6FwufUerGy4ZLPaEjRdR5qHx7UoiFaQTDM0Xrvspfyx9S+0jk+V/fcqAzy06xE2rlhP3bIlOY9tjm/IsGXJ5bgH3JwZP5V+f+wGifIocl/28uBUL1vDMLi7+1HULMExdSJBoj/TS9bhdbDkqgbs7vTxqdKbx7LCUhRnglHmRmglXaIkUkRZuBibmiQ209Wd4eKypjNZ9/y1ke39TF8/F5iZ01Aoe5VOKlLbokxMv4ezVdht2rSJpUuX0tvbS0dHB8ePH+eqq66aswjm4OAgTz/9NI2NjZSWlmKz2Whvb7fcJSBJYqfrjzidzkt2Lvn3hgViu4DnPQzD4Ny5c5SWllq9GB0dHUiSZGUuJyYmCIVCLF682NpnYGAAv99/SZcir1q1ClVVeeKJJ7DZbNTX12d4zZmw2+2cOnWKI0eOYBjJEskrrrgirX/FRFFRkUVuBUGYURzmzJEWxsbGkGSJ5euWUVSW/QFis9swHAL3PvoXjg220BLtpicx9Cx1bf71kHzg56Yx2ZQoTaVk6xiTRHY+2VlDN+ju6uHc2fMMDw1nva7lKxoyJhyxcJy25tx9qCbq1yxBlAV00idUgxMDDMQHWVU8JcZzWe3KDGLbNdpP//gI5cHkb64/PIgs2XBK2csVp98ngCJ3ejTeb/chCWLWbQVBwGv34rF5+NUvf8FjOx/nsUcfwzAMrtpxFdt3XIVmaEyfW+poc7La0A0dzfLKFaxlNruNT/7Lp2hrbcPlcnH5FZfz45/9OPeBgMuvuBxd19l25ZTn9fbt2/nP//xPtm/fnnM/MyNSXV2dVuImSZKVhYhEInz961/na1/7Gr/85S/ZsGEDb3/72/nCF74AJCeWr3nNa1BVlS984Qt84xvfoLi4mH/913/l9ttvp7e317qf27Zt4/7777eEl1atWoXX66WmpsbKwkqSxMjICJ/85Cd597vfbVnrfOpTnyIej9PS0sKZM2dyKq5fDNxuN6dPn+ZHP/oRQ0NDlJWV8a53vYu3v/3t1r381a9+xec+9zm++MUvWmXU2WFYvbKqoVhZ1tRS4knZ4awT7WeKoCPIFWXbGIoNcWzoKH3Rme1OzOsREdENLS2gpqKwd2gPR7oOs1RqoLaslvyCvDSSKyAhStJkUE1DN4x5kVxJkGgsaKCxoIGByBD7+g+zv+8IfZEBBuQRzrecp3ZpFbJoz3lMS1gKnTXFa/E6PBwcOJD+XgoTSCPZex5TM7YHxs5yOtyBy+bAnhJwMwyD8IUBZG864XB4HSzeuhTZmTy2KAgU+73U5hUiTu4uM3tGz6HaKA4XURwtRELCEI20nmFRFC+ajGYjtKn96fPB9H7ZXF625nJz/mOWFsuybFkA6bqOLMvE1QQjSoih6DiR8Rij8QlGoiGGY+OUD5fMOIY5HA4qKytpa2tj6dKlGfOtRCKB3W7HZsvUpbDZbGkKzHMVZsrLyyMvL4/ly5fzyCOP0NbWZrWgzRZsGBoawu12p5UjRyKRtKxvXV1dhop9TU1NmijpAp6/EIznSx3EAhaQA729vTz++ONcdtll5OXloes6jz76KEVFRRaRbW5uZmRkhMbGRgRBsFQ4a2trCQaDLF269DmZxPw94KGHHmJkZMR6cC5eXsuihuQAH0nEONR1mr3tydLi0/0X0OcxpKwsXfq8K0WOaZN2IZOZ10wkJ8jTyay5RhTm14er65QzRmYAAQAASURBVDp9PX2cPHqKUGhmZc7rX3SNVZFgoruzh/27c/sVAwQK/aze2ph13aHjRzltP01DXgPby7cjiRI/2/tH3vJ/n8nY9v/e9G+8ZM0OwpEwo/EQFXllmQckSRMlQc64D4d6T/PPD3zeev3Q676DU3ZYe2W7b8YMXrzJkuepkkjz3DZpKpiT6xGn6sp0/6mkUNBMH11mMjxtpYGBiIRTzj6RPnHiBB6PxxJBam9vZ3h4mFWrVmUdnxRFYf/+/TQ2Nlq9ZOPj45w4cYJly5alCcuZGB0d5dSpU2zYsIFwOMzp06dZu3atFeCKRCIcOXKElStX4vV66ejoYGRkJE38qaenh56eHkuoLxW6rnPo0CFLnO75hgllPGmbI4jEtMisvZACArqmI0oSAsmKjflWWMyEvkgfx4aPMhQbmtP2eY48KjxJ9dZQYpzxRIiQMo6iKjj63fjGApSUFFNSVkJJaTF2R6ZlmmEYaLqKARll/nNFe6iLlsFz+AbdrFmfDLrIom3SxzY3TGGpnnA3T/U+gWoFj0CIiUSJYcjpn4l9zIG/I0hUi/PZ5h+jCBqvXH0Dea6p/kk1FEcZTReClB0yBYuLkGQJSRTxuxz4XS5Ece6fnUO14094cSmuNEXhbKW5F5OhNfFsZmhTr8W8ZvP4qUQ3KSKoENUSRJUYUSVOTFeIqsm/I2qcmBZH1XOXHFcES/h/N75xxusxA16SJFFaWmo9o0KhEENDQzQ0NHDkyBFqa2vTMqHHjx+nrKyMgoICQqEQ58+fp7GxMY0cmwrF119/PRMTE5w/f57y8nJcLhehUIg9e/bQ1NREXV0dbW1tHDhwgB07duB2uy3P3lRV5K6uLp566ikuu+wy8vPz6e7u5uTJk/j9fq6++uqL+0AW8LzCpZvKWsDfDVpaWvD5fFZ/Rm9vryW/DqCqKgMDA5SUlFiTkf7+fpxOJ26325ocjoyMUFZWhizL6LpOd3d3Wo/u0NAQqqqSn5+PIAhEo1FCoZCV9dV1nfHxcex2u6X0F41G0XUdpzPZB6WqKolEwvJfEwSBeDxuGaNDcrJqrnf73WzZuOWvfEfnD/OhmdAVHjjwBD1H/kCr2s/JvvMzPhRnw3BkjJgaTyE3f1uklwXmytomp8rCJBEyN53vZDi1bLmorIhtJQUM9g/R191HX08/sWimmnc8Gs8gtk5Xbp9GAEEUWLp6cdZ1gz3DnFcugB1Oj5xmLD7GLbW3cNmi7AIZ+1pPckvjNkYGRqmsqcy6TXgijNfrYdJZNm1dcUrGVhQEHLP4GE++A7J/DkLWvw3Ss8W59haFZMH5vD43AYSc5HYyk8LcJ7ClpaX09/fT0tJCeXk5siwTi8UYHBxk8eLFyLKMLMv09/djs9lIJBK0t7enHaO7uxu73Y7b7UYQBIaGhrDb7ciyTCAQwO1209LSQk1NDYZh0Nrait/vn7MqeigUYmxsjGAwiCzLVl/a89UbUp+soEj9fWXrQ7cyXxgIkpAMZgGGPpU17WjuQlM0PD6P9Z/dPj+7jxJ3CcWua+mJ9HBs6CijidEZtx+JjzASH6HMXcbKglXkOZK/magaZbxqnIloiGh/nLbWNk4dP4XT6aKkrJjS8hICwYD13uRJT1rDMFB1BQFxXoJ11b4Kqn0VGLVmRYqGqiuIgp41aGXCLE0u85RzTeV1PN7z2GQ/LxhOHSGWKbxketn+vm8342qEgNNHnstPTIkTVWLomk6sc5zU8gyb007RohISQoI8pwu/04EgJAOTzPZIMsCjugkmAjhVR7KnncSs48B8BZ7mu89coOs6UT1BJBEjosaIanEiSiz5WosRUZP3LKzGZwwKzhUex+yChA6Hg6VLl9LT00NbWxuKoiDLMm632xKGisfjGeQ+kUhYy3Rdn7WHVZZlQqEQTz31FIlEAqfTSV1dHUuWJAUIKysr6erqYufOnSiKYtn9pKKiooL6+noOHjyIruuUlZWxYsUKS+9gAZc+FojtAp7XCIfDdHd3s2LFijTRqGAwaPWO9vX1YRiGJRoVj8cZGxujvLzc2scsxzNV9UZGRhgeHsblclkTtd7eXgKBAOFwsofHlJk3y2Oi0SiRSASfz2cN0uPj4zgcDqs8OBKJTClYahqSJKGqKg6Hw4qyxuNxJEm66FKkvzYGxDEeHt5HS7Sbtlgf2jwm7jMhIHko1QN86Rf/TUOghoB88YI006PW5ufu8rhYuaFxUoBlLhn7qd5aQRAwdHL0jE5S22l9b3OBbuhW+XIqRFGkuLSI4tIiVgKjw6P0dvfR191HaDyZyY3F4kx3HnY6Zw4KVNdX4vZmkhBV1Th9uplExdRkQgAMXWdRQQWF3iCDE6Np+zzdegynw0V1bXVGthqgefQC0ij4fIuz0Foo9EwRW5ecbj2iGRpyFt/O5O8GZsqVighp30rd0Gb1AE0qXF/EpHOSKWcjTGa561xherq2t7dz6tQpdF3H4XAQDAat73R9fT2tra0cPXoUp9Np2fWYkCSJ7u5uYrEYgiBYVjzmvTX3N/cJBoPzss2RJIlQKERvby+apuFwOKiurp5R5CUb+vv7aWtrY+PGjfPa7+JgZPwvyyZpyPZZVi+tRFVURoZGaW9tZ6h3BEPXLZLr9XkIFgTxBXxpvevTIQgC5Z5yytxldEx0cGz4GBPKzD2JPZEeeiI9VHmraMpfid/uxyW7KHGXkGrMq2ka4YkII2Mj9Pb1IcsyPq+XvII8bHIyuGqT7NaYo1miU3N7/pgq0OJky4CBjqorqAktZ3DDLE3Oc+RzXeX17Op5jJH4SHJllp+lbtNoj/bx+PDRtOVRJUZEiRHvnUCNTskm2112KhuKKMrz4XUmg2OKkZhpiEhelyESiPsIxPzYjeS90dDSAmHPVBjqYqHqGmElSliJEVZjRBJRwmqMsBIlosQm1yXt2Z4tW7a5IKbMTTDJbrfPWK6brR8/tSIkEAhk3aapqYmmpiYg2ee6devWnNcgSZLlxZ0K01/bxOrVqzN8sGfTGlnApYMFYruA5zXOnz9vKf1CsgxvdHTUUvM1DIOenh6CwaBFQIeGhpAkySrdMwmpmeE1DIPR0VGrVAWSWQlBECyynEgkUBTFOoZhGMRisbSeEFO11DyvpmnWxE8UReLxOKqqpqkgqmqyLGt6X8zzGT9ufZBjI83P+Dg+ycUSVwV1rnLqnOUU2gJTFiChBCPT/R7mCbO/xuVyUV5VRmV1BcG8oLV+Ppm0SDhC85kWhgaHufKarTnL2Oc6kcnWhzsbgvlBgvlBGpqWEZ4I09vdl3XSNVPG1u1zUbU0e7lo66l2RpxTvbyVnkpuqL4eWZTR0dhU28Qfjz+Rts+hjtPElQQOmx0BIU39eDA6zPeO/4w3lr4y5/U4JDsBh5ex+ATuNCsRYcaSydxlgGZWVkxmc6zJqZ66c1qmZ9quc4bV0yZIiOJkZnCek+DGxsxycJfLxbJly3LuEwgEMiZhW7ZMVXmY6qC54HQ6Z1Q/r6qqoqqqKm1ZWVmZlWlxu93PijVYQUFBmirqXDC9dHs2TPd4ng+mkwXztWgTKSjNp6A0Wfat6zpqQiUWjRMNxxgaHqK3txfDMMgvyKeoqBBJljHr1lPFqwRBoNpXTaW3ktZQKyeGjxOZzGbmQsdEB50TndT6amnMb8JjSw8ASpKEP+DDH0gXttHRCEWi6JqOzW5P/mYFAVlMPq+SPeZJ+7H5KCsLSMnfgEMilojhtGcff0zVZK/Nx9UV17G790m6I13Jn+i0n40qqvyse2dWwqZFFNTw1LPB5XGy/vIGvFmCdbkg6zLBmB9/3Je0c5qESWifTVI7XT05rilT5NQiqnEiqklY44TVKAktu3bGAhawgPlhgdgu4HkLTdOsfgqTgLa3t2O32y0FvLGxMWKxmOWNpus6AwMDBAIBKyM6PDyMLMtW6V00GkVRFKs/zTAMQqEQbrfbIjDhcDhpjzBZ9qkoCrquWxFqM/OaKoigKIolyiAIArIsW0TWzN5qmpb2IL0UiO3FIujysqFyBRuqG1lf3kC0NcRA9+Bzci6bTaaiqoKK6goKiwouKnJuia+gY3PJuDxOxlvG6eropipr2W22nGTmMVP/TagKNil3GV8ueLweltQvzno2URSx220kEpkTo6WrF2cl5eMjE3Rd6CFSl6xOqPFWc13VdWmlihtqVmQQ24SqcKTzDJsWrbSyMpqhEVfj/O+xnzChRIipZgl19klikSefsfgErpTy87ndj+xFxYL5f2ZvHKALpBHd7EebmxelYRj0RLoZjY8QtOdR4a2y9s+kQwvIhb9GlUpUDSeDHCRLYmXB9ux/QhLYXQ7cLg9ktjhjkCz9TYVgCJN5Y7MPXKDKW0Wlt5KBSD+toVbCapjEpDe0Mm1/A4MLoQu0hdpYEljC8rwVuHL0cacitf9WNdS0n8+UH6uOOll+LSDOuSdXFEQcNkdar2c2CIKAQ3KwrewqDg7u5+TIyYyf8b7z52iP9mfsaxiQGJhSQfYF3Gy8ohG7fW7X6FAdBGMBvIoHcY5j9VygGzoRJU5UncyuKnHCSoTwZIY5SWBjRNXYM2rV+VvDYbOT51lQAp4LwuEw999/P9dddx15eXn09/ezc+dOXvrSl1qta9Nx4cIFDh8+zMte9rK/8tW+sLFAbBfwvEVXVxfxeNwirYqi0N3dTWVlZZrFj9PptBQ9R0dHUVXVKpPTNM3qDzP3GRkZwWazWaQ1HA6j67p1DE3TiEQiaV6NsVgMURStiVlqnywkH4qKomQQXcAqRzZJrEnSn08eds8G3JKDjTWNyf+qGllaVJWeCSiB1jPtnDt5Abh4k3kToihSUlZCVU0FJWUlFzVpNibtYZKZ1PRrWbS0FqfLRa5q1aTaanYrkenvyyqNtjlTsrfa5Lp5KCeTnUpXL66h/Xy7VUUAUFZbQqDAn7GtoRs0Hz5H1BdBl3UW+RZxTdU1SNOuY9OipqzX8PSFY2ya7ME1ye3Orj10h5Pqr1Etbl1rNhS582gZbsdtMyfmcyP52UqSU/eUBAnFUDAA0WBSQEiytst6PTPFJoxJ6ycBytwVOCQnHtmDIICuG5PCutMPMHuw4+8JsVjMGmenlyKbolVlZWV0dHSgaRqBQMDqLW5paWF8fJzx8XF6enqApM/t9B7zVLht6X3DXtvzZ1JuGAYD8V7rd2+iwFVAgasgY9uEnrCI7vR/jw4dochZRLm3Artot8qo59XjT+bz5yenfoVNsrOxZDVLg4vnp+qeYyw0r0uWZDYUb8Ij+9jTt9sKOISiUf589GjW/ZTRKPqkZ20g6GXD1uXYZiO1BngUN8FYAJfmREDg3e9+N3V1dbz3ve8F4BWveAW33XYbt99+e1rWVtGUtCxqVIkxocTo6unkP97zOV796XfgKQ8SUf665cAm7n7317nirbdSubpu9o1TcOz+3XQdPceNH/sHADwOF363B7/Li9/lwe/2Tr72pL122hxWe4ggCNxzzz289KUvfbbf1iWBvXv30traar222+3k5+ezatUqgsEgLpeLF73oRVldKBbw18UCsV3A8xYtLS3k5+dbmdauri4Mw7DK7uLxOENDQ1RVVVkP1IGBATwejzX5GR0dtaxvIFkKHA6HLYEoSJYhm3L0kMzoAtYxNE1DURRLIMo8d2oGwiSxqaRV0zRsNpu1zMzevlCytW6bk5VlddQ5yiiNByiV8wnk+Vm1vBGnO/vks3ZZNd6AhxP7T6EqFxHJFqCwqJCq6grKK8uxzVPIBSbFVAwFVVfRDQ1RkDKyFMmeMomqqmQQZfpkNOVoWKJBKdnZmSaYqT1rpoKobmhoqobdfnEPxYamepY1LmV4cITe7j6Gh4ZYtKI667Yd57oJj0cIV4epCyxhR8WOrBPYddXLrWtMxdOtx/jnae/nptodxNQYD7c/TkSNTq7JPvErnvSyddmc5FJCNlVtpyN7MMSc1ItTatUYaIaGOIPnsIVULmpMdWdCsndXEEQEQ6DAUYCOgaqryWyXkVyHsZC1zYXW1lbq6+tzlvLHYjGGh4dpaGhAVVWam5vp7u6murqa2tpaYrEYbrfb8i+/lK3bBGHS0mdWZaOpLKdDmm08MEjo6T2QFslFACH5KvX/EVI7wdN/f4sC1fyq+T529+wnYPezvmQVG0vWUO2rmNN7nC17KwoiK/JXEHD4+XPHn1ENld/v3088i4WdrmioY8nqj0DeJKm1zdCuYAj44z6CcT92Pd0mSDeSCsGdoX4iaoz/98WPoUoGD7U+PZlxTQoxxdTs7TA6Oi/5wlvRPXbCSqao3/MBoijic7qTpNTlmSKubi+v3XwDTtlGVXkFPpcHm5T7Pn7l377Kn/7wAH95+s/A1Cje09Mz7776FxpKS0utwFwsFuP48eM88cQT3HrrrYii+LwV1Pt7w6X7lFjACxqjo6MMDg6yZs0aIPlwam9vp6CgwIqI9fb2IoqiVVIcjUaZmJiwJkGGYTA8PIzH47EmRKOjo4iiaGVjE4kE8XjcGrANw2BiYgKHw2GRVlOpzywnMXtpU8uSFUVBkqa8A83MmekZZ2ZtUyfmmqZdUhZETtnB+srlbKlZzWXVq6grqkAxYhgYKAmVngu9dF/oY++jB1l52QryCoNZj1NYWsDG7es4uucE4dDM/WUmAkE/lTWVVFZV4HLP/+GhaRp9PX0MDA6yaHkVUgqRTap9GkiCjChISIKYkUUVELP27iWzHsnlqX2dE9EwLod71rK+pIiLCMhoosbZE2eJxxOUlBdTUFQwryy0IAgUFOVTUJT8PWiGhqonUAzFIubRcIz2M50odoVFFTVcVX5VbhJuaFR7i2kN9aYtfvrCsazv4xVLb6HUU8xAzwAAESWKz56ZMSvyTBJb2ZHz3Lt7n2SRfwnlnmz9wTmyQghIomSV/mmGjs0sR87RZysIIoqeQEJCmFRJTqWpSV9QzRKFyprBEgSEBXKbFbquMzo6agUSU7/PZtvGkiVLrPG5uLiY8fFxAMuqQ5blnKV8C8iE+U00/XuzbJAVAgKrixqQRWmy/zNKRI3yUNuj1AUXcXn5BiTMftyZlcRny95WeCp52eKX8//u/zfOdHVl3U4dSQbIgnle1s9AarW4jj3iIDai0hYf4JTaMZl1TZLVsBKje2KQ6LDAPS2P5bzmmSCKIi7/xYsbPhPYZBm/y0PAlQzwr6hcwrb1VxJwe/BNLve5PXidrozxyQywzyUgpGs6SlwhHk2gqRoDbYPE4wlkQaZgVZGlUfL3jFTy6nK5aGho4NFHHyUWi6FpWlopsonBwUGOHTtGKBQiGAyycePGNMuj6ejq6uLEiROMj4/jcrmora1l+fLll9Rc8W+NBWK7gOclzp07h8PhoLi4GEj2yUYiEcu3Vtd1ent7yc/Pt0jo8PAwhYWFFBcXW3Y9breboqIinM5kCagoipSVlVmiUIqiUFBQQH5+viX45Pf78fl82Gw2y1Dd6/VahDoWiyHLMi5X0vfOzMzabDZr4haJRCZ7H5MTskQiYfXwpj70Tauh5zNeu/ZmFhVUsKpsGQ45PUOqG96klYM9TPWySiqWlNHb1s/JA6eprquiakn2SL/b62bDVWs5ceA0gz3Z/R3dHjeV1RVUVldmCKPMBYZhMNg/SGd7F92d3SjKZL+zoFC/fGmKHYyAJMjYRPtF9eZGo5GM8khRFjg1eoy9Lee5cdk2KgLFsx5HEiSWNy0nEo5wvuUCRw4cI78gj9LyEopLi+ednZYECUly4cCFbuioeoKO9m4M3aCiqYxNFbnVaSfiIZ5+bD+rS5dmENuu0X46R/qozMsULNpavpE+7wDtoS6+f+LnfOqyD2AT06+7aNLyx2PPHqA4PnSMzokuRuKjlLnLMj6T9KytadmS/EtCRhemAgyGkbQVmgmSIGOgIxjGpH3TlA3QnKuKU4jzfFSRX+jweDxWkC91PIRki4bX602bdJvCeyZSx9QFPLcwMJBEiVVF2YXGYlo07bUZ7BGsDLA49bcgIAu2nPZC8Xic73z9u9z3vV8Qj8eRK304NpcheicVjkciaKUagaCP5RtrsaUoTv/7Gz9P5dJKNN1gz/278Zfms+5V2zly7y4GWrqRHDZKG6pZ94qrcOQQmPr9p77Hsh1rWbYjqco73jvM3p/9meH2PryFAda9cjs7v/lbq+x3YmiM+z79A2746GvJq0yO5f3NnRy+dxejXYPY3Q4WXbaClbdejiglv7+PfP1XBCuKkGwS5586jihJLLliJStvSQq/uexOAu5kZtXn8hKYzLLufmAXv/vxb+lq7ySYF+SWl9zMv9z5/zAw+AIfoi6/jJ98/js89shjlJaX8onPf5zrbr6OuKaw+/HdvObW1/L9X3+POz93J2dOnuWHv/0Be554mofvf5g/PPF7lITK7p27+dq/3cn55nPIkkzN4lo+9tl/4fCBg3zjP74JQNPypK/1xz/7CVatWp1RivyRj3yEe+65h87OTkpLS3nd617Hpz71Kavy7TOf+Qz33nsvH/jAB/jkJz/JyMgIN910E9/97ncviXnPbFAUhba2NmtuGIlkD9IfPXqUNWvW4HQ6OXbsGE888QQ33XRTVqI6MDDA3r17Wbt2LYWFhUxMTHDgwAEgu/DgArJjgdgu4HkHc8Coqamxfvzt7e243W4r0jU0NISiKJSXl1NdXY0oihnKngArV6b7cS4MDvODYRjcvubGnP1EoiDisXlxyi4iapg4USqWlFG2qIT+jkGaj59jyfJF1sM+FbJNZvXmJs6fauXC6TYgKXZSUVVOZXUlBYVZlFnmgNGRMTrbO+ls78rqBdt+pouC0gKK84uQJTvyDJ6MJgRBACNH1lbPvDcOyYmua4wpQ2z/nzdzQ8NW3rzxpayrnF1d1u1x07S6kYbGZbRfaOfMiWYO7ztKQVE+peUlLKqrzSR7zOx0IQoidslJ46pGGhobkLJ8HiaiSoR9uw5ilx3cuPFKfte8K2Obp84d5rYNN2Tdv8RfxGB0GLtkZzQ+TtG0/sEisxRZngoGSIIECAzFhtEMnYa85dgEW7K/a6bMUKZnCyKiRXx19Cmv4RxIli8ntxVIktuLCXCYx1nAFPr6+vD5fJSWljIxMUFra6tl3TEyMkJvb2+aYvP4+Djt7e2WCnNPTw+BQICKirmVwi7grwerusFIW5iCKDbRjktyp/2eotEoN1x9E/v37beWad1hEieG8L5+BaLfTrQzjH+Lh5oVJehieum2puvsumcXa27ZzD/c+U7i4Ti/+fT3WX3jZdz6vttQFIWdd93Pwbv/zGu/8k8IwFNuB4E8H4sbknMEm02msCSPuuXV6LrOd770M/wlQV72sdeSiMZ5+H9+B0B5dTH1TbWM9iaDr7V1FZQurWR8cJTffPB/WHPTJjZ9/i0MtvXxh6/8nJLKQq5+y62IgsDTPjft+09zxWuv5dZ3vJj2Yxf41b/+iC23bKH+shVTeXXDQEVniBD3//oP3P+fv+GGd72Ul295I7FwlLYj5/jhyfus9//5z32JG//5ZbzrTR/jqV/u5J1v/mc+/LvP4w54ON9xFoCPf/RT3PT/XsENFbdzytnLiaHzjMUn+NXZR9BUjc+/+UNsfOlWbvrM7WiKSueJVo5K5/FdX8kVF67l7O4T/OM3/x8AVcXZ/cp9Ph8//OEPKS8v59ixY7z1rW/F5/Px4Q9/2Nrm3Llz3Hvvvdx3332MjIxw22238cUvfpHPf/7zs3/Bnofo6enht7/9LZBsLXM6nWzbtm3G58WKFSusbPemTZu477776OrqyjpfPXHiBA0NDZYKvNfrpampiSNHjizMXeeBBWK7gOcd2tra0DTN+uHHYjH6+/tZtGhRmmiU1+vF4/G84Eo0du/eTSg05XEYUqN0xProiPXTER9kTJt4Vs4jILA4v4KmsjqaSpewrLgWh2zn7GgzB/oPoxoqCS3B8vwGLi/bPGO/lyRI+Gx+XJKbiDpBgjilNcVJwZTBQYIBP44coi+Ll9dSWl4KqkBRceFFfZ7hiTCd7V10tHUSCScjp1l7mAUoKyvFK/pw2eZeWmbaiGQrsXN73MRj8TQF0iSRtHP54ka+++T9/PHULv54ahdrypfxpk0v5aaGK5BzZDNMyLLM4qWLWVS3iN7uPs6dPc/xwycpryqbUUBnNqRnwKZZnBiw78kDqDGNLddspnwiu4r17554mBW2SlasWpE1I1royuf9697BaGwsY51Zijzd7iekhGgePWOVdDvsdmvinHGKyQTpVKBBSFtp2hAZhj6VNRJyK5+m9hFrJHtz5yOcQ5ov8QtrPHomCIVClm2QruuWFoH52tQdSF022zaXMszc5guvcD17nYKqK4T1EC7ZbbV/fOPr/01Lc0tW6yf5qRHETcUsXlTF6nX1xI04iq5gGBBVFcKKgoFAUXUJr/7YGwB4+K4/ULW8lld9+HXWcaprK/jXmz+EEYpTVFM6KRbpoHDS/k0URdwuF/nBAKeeOsZI9xD/fNdH8RcmA+cu2c633/k1PC4XQZ8PPZRsR/K63QS8Xp780UPkleTz6n+5A0EQWLJ8Mep4lPu+8WtufecrEEURURQpX1rFLe9IKt6WL6pk968f4/y+M6zYkh5wN/HoDx5g+z9czzWvu9FaVrcy6a+qTY5R627dzOobktU2N7zzJez+xaN0nmylfssU8bn27S9i6WXZg6jxcIzYRJRlV6ykoLIIgOJFZdZ6uytZAeebvBf2HD7pn/jEJ6y/a2tr+eAHP8jdd9+dRmx1XeeHP/yhlaF9/etfzyOPPHLJEtvi4mLLe1dRFFpaWnj88ce59tprc+5jOnhAsiLF5/NZ7RbTMTY2xtDQEKdOnbKWmeXkqqpe0hoDf00s3KUFPK9gGAYtLS0UFxdbk/eOjg4EQbDKksPhMOPj4yxatOhveanPGfpGBni6+xgt0S6aI130K6PP2rFLAgGqCwqpc1SwPLEYn+qmXCij0lmITZbQ0agLLqbQVcCD7X+mOzzIru4nONB/kCsrrmB90bqc5WUAsijjtwdR9ARhZQIVhWBhsuw7EovgdDitUrVk+a8NWbBZD9H5IB6P09XeTUd7JyNDI9Zys3cv7bpkmepFVSxZuhiPd36EVkefUjBOkV1JRSKRSCO2kMzauuwJLl/cyKNnDwNwuPsM/+/eL/El//f5+jUfYH3Dyjlli8sqSimrKGV0ZAxdy5wURyNRYvE4gWBgntnG9G0VJUFJUSmla0txupwsdlZQ4AkyFB5N2+5Y/zkutLRyUDnJbWtejFPOnPy4ZRcuTyYBN0uRU+1+VF3j9NBJFH1KvGUqkGJgGEIGuU1W/2aWC4upRjxCur9t1jsgCAjTEk/Jz1tPik9l29ew8i1pJGWhDDkdDofjGWVbPR4Pw8PDhMNhq9f2YrLpzzdc7PfE/K6Nx8dpn2gnqkWxi3bskj3935S/bdL8BfbmBwGX5LJslszrNCaF8Qx0omoUl+zGLjnwujy89a1vzXk0//oy1qxvYFGwhriWIKooKLpqhbC8NjfL1tazuihJ3O5t+wnnDpzh49venXmskJPVRcvx2twUufKtfeySjQpPCauLltMyeJSS8hK2Ld9s7Vd3VTXf5mvUBipZXbSc3lhSlbs+bxF1RfX8tnuCtZvWsaZ4hbWPd4fMb770U8rVAkoqSvHa3NQ0LrLOCVBVXoE9KqYtMzEyOMz4wCg3Xndj1vUxNUmuS+umfk92lwOHx8nEcCht24rlNTnvrzvgYd2tW/jhe75B3ablLNnUwMpr11ukfjqSlkWZwaVf/OIX/Nd//Rfnzp1jYmICVVWtFi8TtbW1aWXHZWVl9Pdn2jpdKpAkKe39bNiwgXvvvZfz589bbXLPBKqq0tjYmHXMXGjJmDsWiO0CnlcYGBhgfHycZcuWAcmIX2dnJ8XFxVa0qre3F5vNNmMD/qWMb3X/nmO9zc/KsQp9PmoKC6kuLKKqoABXSo9bRBtFHNToajfovNCFL+ijalEFZVUlBB0Bbqt7OUeHjrOzcxcRNcIDbQ+xt3cfOyq301iwYoazgk20E3TkE9dihNUJdENDsiVLRB2SA7vknF9GbBKqqtLT1Ut3Zzd9Pf1Zs7KmjZIgCLjcLhYvXUTNomqr92cu0AyNhBpHEEgTmjItMqZPrn1+H4mEkiZw4pSchJRxrl621iK2JrrHB/jsQ9/i644PUFVbhSzY5nQ/gnmBrOXQABFtAkkFWbAhTwYM5ksC7HY7yxrrrdeCIPCGLbfyn4/8LC2r2TrRi6Kr9IX7+eqB/+GfVt1BgStTMTPb+b12N26b07L7SWgKnaGOpM9mCtzy7AGIpA/n9HJkAVmceu+pose5SrYFQUwT/wLQDQMdFQnZ2s+Y/P+s15IirTybMvbfAzRNY82aNc+oombZsmXs3buXBx54AE3TuOWWW9Js2C41PFN7N/M7FnAEaLI3MRAb4NTIKUbiIzPuYxNtOCQHRc4iFvkX4bV7c24/bxjJX5hmKKi6ZpHZVEhIScVxw6C3r4+R4dzXu6puDRNahPFElFAimkGqdEPH5rRbRC8cDrPp6i286SNvzzhWfnE+MTWObuhoumbtYxgGiq4SU+NJdXwMax1AfPJvRUtuE9eSAbe4phBT42i6jqbr6fuY26gJ65yCKKRto2NYx8y4jfKk8OTkOVIhi7IVPJTkdIKTTSne7ppZbO2Vn3oDl9++g7O7T3Ds4QM8/O3f8+ZvvIfqlZnkbDwxwXeO3Q3An9ufYviESsvhM3zpjZ/iJe+8jWve82JcPjd7//QkD/7oD3z/xK8BONR/kpAWtl4D7O07ynh8Im3ZdNhFGx6biye7DxJV/3oK1FXeMj66KfM7NBPMMV7TciudmwKmkAyAh0KhjACAiWAwSCgUekH0IP8tsUBsF/C8QktLCx6Px1I67u/vJx6PWz0KqqrS399PUVHRC64E+dlAkS1Inaucmvwiihd5cPlykzlDMgiVjBPOC+Pt9WGMGpw8FOLMsWbKqkqpXlTB6sKVLPLX8GD7I7SOtzEcH+E35+5hT+/TXFt1NTX+3JFhSGYt7aID1VAREWfM9uaCruv09w7Q2d5JT3cvhm7M6gGcX5jPkqWLKS0vmTPBMAwDzVBR9CkV4YQaxyV70q7bEhaahmgkii1F5MohJbOVjWW1lPjz6BtPn8ydCrdz9ORpyqpL0QQVEQlZtE32m84PTpcTr82TVKg2EiiTkyzRkCAu4vV5uFh/1c++6J28e/treODEk9x37HF2ntlHVIkj1DoZU8YZi4b46sH/4a1N/8DiwMzfBxNF7nxcNgeqrvKXzocp82RGqNMVlXNnbTEyyW3qZ57r80pF0oYle8BAM9Ss1ijTriTtfHEtymz3W5wuTmWAyuxltyIiiqEABgIi0qTP5IQS5menf0fPpJ9wNmwsWcONtVdmLYcVEWcsz9+3bx8+ny+tJ3YmmOJQJhYtWpRWZdPU1GT125qor6+nvn4qsOLz+bjmmmvmdD4TiUSCI0eO0N3djaZp5Ofns2bNGqv09fjx43R3d1NfX8/x48dRFIXS0lI2bNiQ5kt+5swZzp8/TySSFIdbvHgxK1YkA3qRSITDhw/T19eHIAgUFhaydu3aWUn3zu6dKHoCn92P3+7Dbwvgt/twy+55B0IEQaDYVUyRs4jeSC+nRk4xrmSWOBpMeuLqCUJKiPOh85S6S1met5yAPXtweKZSadM+RzNUNEPD0HUkQUYz1MzfIQIuyY1Dclnvr7SslM6OzqzHDuT5WVndyK6uIxS7E6i6ipJBbA00dGv5ohVL2P3gE+SXF2aQPiCZ7Z22j0GytFfRVUprKxjs6Wegf4BgYTI4d/LICQBUQ0NJuQbzeiqWVLL7wSdIaIr1vo7tO4rL4yZQkpf1nOa164ae8Z4AbG47xZWlHHpyPysuyyxVnq11Zb4oX1ZF+bIqtt9xI99685c58uA+qlcuRrZJGQHj8USy/WksPk5fZJDD+w4RLM1n4+uvsrbpbO/AMAz6Isn2lQklgqpr1muAUGICzUhfNh1OyU5M83JhvIMJZW6uCc8E5rNhNpFBSM5FTDtIRVFobm5GVVXKy7Op9ydx4sQJ7Ha7JR7lcDhybt/Y2MiuXbssizNBEBgdHWVsbCxDL2YBubFAbBfwvEE0GqWrq4tly5ZZD4v29nb8fr81QRoYGEDTNAoLCwFeUP1XF4MC2U+dq5w6VwVLXOUEUrJcRodBND9MuGgCQ8o9UdHtGuPVo9jCNrx9foja6bzQRVdrN/6gj6rFFbys9kWcGjvDo52PEdcSdIW7+dHpn1AfXMrVlTsodhflPL4gCNiE+ZfDRWNRmk+10NneRSI+pawK2TMfoihSUVXOkvrFBCd7qeYCVVVRjMSk++m0yLfkYDwxSsCRZ2VUc2dtvWl9MA4pmZEUBIGr69fy8/1/Sdtex+Cx7kOs6WqktLIYHY2EriEgIgtyss9zjsEbURTxyn5iWhTVmOpRjI3Hrd9KeqZxfpPoIl8er998K6/ffCuRRIxHTj9Ny/h51ElhlwklzDeOfI/XLnsZG0vWzn48dz5um5PHunYyHBvJSmzdsnvaktTca8o7ye7kg0t284vf3M2LX/LiqXLkXBvPcj/MwuNkv296P2+2vdMzu9mPrWEgGFMZl+kZ62wQBCGtNF4WJAx0uif6+I+DdzEYy54JExC4rf4Wrq/Zluw1xiCmRUloCVRDRdVVZEGiypa7vWNiYuKS6PHavXs3kiSxbds2bDYb586dY+fOndx0002Wsv3ExARdXV1s27aNRCLB7t27OX36tDV5PHr0KBcuXGDNmjUUFhYSjUYt3QNd13n88ccpKChgx44diKLIyZMnefzxx7n++utnLBlUdJWB2CADsfSJvSzI+O1+/HY/gcl//XY/Xpt39koOASq8FZS5y+gMd3Jq5BRhNTzjLr2RXnojvThEB16bhyJXEXWBelxycswaiY3xl44nkEQJWRDx2b0E7F6K3QU4ZXvaOJlLnM0uOnHLbsRpgboXveRFHDl0JK2X2sS1L76GgNPDlvImwvH/z955x8lN3vn/LWl6n9ned917NxgwvYbQk5B+KZdyyeXS8+MSErj0Xi7lUkgu5HLp5SCBEFromGJs41537e19dqcXld8fGmlndjS7awMH5Pbj1748GkmPHmmkR8/nWz5fGUkQ0QTJrMeLoBMQSRBxFEKsr3nLq7n3t3fxzQ99kVe/+/X4QwEGjvfx0B1/48NfuQGbJCGJInbRhtfuLpTtEnBJdvwOD1svOJvGtia+d8PXefcn/plUIsVvvvVzQA97Djv9ZBz6bx90+qhyBXnD29/IHbf+Dz//3C286m3X03PsBL/99s95/bvfSL2vCk0Fu2jDLTqpsgVQVQ1N1bAj4dDshFT9Pf2Fj32Gmroa3vXR9wLwj+97B1+/+SvUR+rYcs4ZpJMp9jyzm9e+9Q04C7V5q9UgbUotaAVChkC1EqBDriOt6PdVu1yHV/aZI88O1YcDO4vVJoZ6B7nv9rvZfPYWIlVh+rr7mOgZ5bLLLmOp3MJw3RIe7r8H9yGFmroaHA4nzkKebRv1rJTbSDWt4p7B25i8t5dFSxex/fGnOfTQXiRE1qmLEEWBg2INJwQX65VFiIKIy+WiXzrAds3OZm0ZHq8HAd0gDOD3+QGBXCaDAwftdbUoisz42Di5XJ729nYEBEZHRkglUyxbthQBgaGhISaik2zcsAEBgf7+fgYGBjj/vPMLaU8WCt6CUKhRPjU2z+VdOzg4yJ///GdAT28KBAKceeaZ1NbWkkxaP3Nr1qxh586dJBIJQqEQW7durThG1NfXc/bZZ7Nv3z4OHjyo1yb2+/9u0+5eKLz031Lz+D+Dzs5OnZwU8gsSiQTj4+OmBV/TNFMl0ygbEY1G/0899GGbj4XuRha5mljkbiRsrxyyImgCnjEfrgkPyZo46Uhqxvl73psnumAM16Qb75APKW9jMhpj8pkYh3YfobG1getbX83jY9s4FusC4PDEEY5MHGVt9RrOaz6XgEXd0pOBouoeU1nLo0ka1c1h+vv6gakXz3RrssPpoGNhOx0L23G55y6qlEwk6TzaxYmubvwRL+u2rLGsO+uxeRnLjBBxVJsvJCsvoCiKxCZjBEO6F6RYbOu8Jev49fYHyojzk7GDdB46Tn3zVDkgDVX3umbzDJwYpr2jzZxY6LAOqLWJdvyiA0WTySgZ1LxKoEItYVVTOB47jtfuo85TXrZnJngcLq5ccy5wLqqm0jnZzd6xA+wdO8gfj/6ZnJLmrMYzZ2yjxhvGKdmRBcHSi++tMKGvlC5r5YHs6u0sqSc4tW351RMEAVGr7LU1j4+GoAnT6hzPFF4qVPi1ivY+CVJbDCPU/OD4Mb6z61ZSctpyP7to452rX8+mujUl32eVLP2pHnO5ydM6ax9e6ohGo4yPj3PVVVeZz+q6devo7++nt7eXhQsXAvo1P+2000wPbVtbG0NDQ6xevdr0xGzYsKFEnbSmRjfe9fTonqlNmzaZv8nmzZu57bbbGBkZOaV6n7ImM54dZzw7XvK9KIj47f4ishsk6Ajgt/vLnhtRFGn1t9Lsa+ZE/AQHogfIKDOHcmbVLJlMhtHMGAcnDrEqsorloRX4HR5cNjt1nmqafHUmiYSZvbmgl8/y2LzYRetw2La2Vj78sQ/xo1t+RHRkAgCP183FV1/EprN0YZ4ad4iFwVCh5Fbp8QJOHw3eas5sLHiwGmH5Q/dw842f5ua33kAum6OltZkLL7mQLY26hoHf4aXOE2Fzve5xd0h2mv11bKzTc1n/8Mff8v73fID3XvkO2jva+MwXP8Prrns9y+s6WFu7hFBKf68sDreyumYR1Czi97f/jk99/CbedskbCYVCvP51r+eD7/0gQhI0FRyqDbfsoDYbMvvu0hx4cNKg6YJCEwPjeEU39ZoeofbWa9+MK2vn1ltv5Qdf/i6hUIjLLruMGi2ITdPfTXVamHZ16h4TEanSArRqdYxqek3gJq0avzb1Lg7gxYGNRqUKl1Ng/MQI3/jLl4jFYlRVVfHq617NW699E5IocfW5r+TZh57hpvd+nHg8zic+8QmuuuoqAEKCj2otyJXnXs6JN3Tyg698l3w+z1lnncW73vFOfvjDHxJSvdglO27BiYRIQPVgt9txS248oq6xEZb8eETdcCmqGjabDb+kOy/iqopH8mC3SyiiQlZJ6QYFu/5eTcgTuF0hQnY9nHc8P0rEHcRfiDYRchphTxCPrXQuYAjR5WXZFGMq/t9ms7F48WLLexZ0RePTTjut4nqv18v1119vLtfW1prLlTy006NYQCe38zWDnxsE7bkmfcxjHs8DVFXlzjvvpKqqygxP279/PwMDA2zevBlRFJmcnGTPnj0sWrSIQCCApmn09PRwwQUXvMi9f35x6Y/fYebYBiSPTmTdOpGtsgVOOXdPdsgk6+JkA3PIW1HBM+bFM+pDVEsJRqg6iNwgsyO1k7wqszi0iNVVq1gcWmRJDGeDoilklQxZJYNSmOBLgoRUKMOTy+bZ+9R+YtF4SS5LIBhg4eIOmtuaT0pYYXRkjGOHOxnoHyhhHIvXd9Da1mpJqBRNIS2n8Gg+kzxblYVRVdWslwxwcGKfKYh08x23sruvs6ztD7W8imsuvJjquqqydQd2HabveD/NrU0sXLKAQDAwQ55nqbCVphnSRtNzR1X+1vsAx2LHALhuwXVUOaosSzKdLMbSY3TGu+jwt1PrrkUUxTIDAMAtO37PuvplTCj9jGXGWBZeTlbOmARvWWg51e7qsv3M86yg51Rx0q0VWeQ1661UTfeEzkWxVrf6izPSVsMzoFU43tRxZz+mmS+saYiChKopiILItoEd/Ofe3yBr1jlePruXf1n3FhaFyktEqZrK0dhBFE2hxlVHxFmN3/7y1i3o7u7mySefLBsPFEVhyZIlrF27lr1799Lb28tll00pzx46dIijR4/yyle+krGxMe6//34uv/zyklBqA88++yyHDx8uO4Ysy2zYsIFFixZV7N+vjvyCkcxzF88REPDZfZZeXqNutKIqdMY6OTRxiFyRKNt0SIJEyBEk6AgScoYIOPwnpX8gIhJwhFE1FZfNjVN0zfqO0jSV7sQJDhw/QNgeorGxsSQaQETEVyAu0vOacjS3d+cTjz/BZedfzs79z9DW0YaSU5DzBRJU+KzIlfMqn2+IoojNZmNoaGjGfM6TQfGYUnwvK4qCJOnRQqqqmqRPFHWNjHw+j91uN8fTXC6Hw+EwlzOZDA6Hw/w9k8kkLpfLdEbEYjHcbrcpDjoxMYHb7cbj0Ynu5OQkfr+fVCpFPp+np6cHn89HJBJBVVX6+/txOp2Ew2EURWFkZAS73Y7f70dRFCYmJhBFEafTaRJXWZZnzW+PRCIzqhvP4+WDeY/tPF4S6O/vJ51O09qqew1kWaa/v5/6+npzwBwcHDTl0kEfAP8eQ5EXu5tZUl3PIncTNfbZVW6txCOsYMvZCPaEkX15YnWTyK7yUDATIqRqkqTDaXzDPlxRj0lQJsYmqRaree2C66lvrMNpoYh7MlA1hZySNUkt6ERS0RQkQcLusLHurDUc3ddJz9Fe6hvqWLhkATV1lcOfy46hqPT29HHsSCeT0fISNABHnz1OqCpEyB8qWycJEnbRjiooRMeihKvCFb226XQap8uJgIBTcpnE9oKl6y2J7VOxg6w9tMSS2LYvaaW3q4/u4z10H++hpraaJSuXUFVd7omcDiPsSivkoGroAir39d7P8fhxAMKOMDXuuV/H2VDlrqKqULdWRUVTdSJ2ous4t9/2J2KTMTZs2kDVwgBehxu32MB4ZqykDbvoIOyaOr8//uF/+Pxnv8Cxo8fweDysXbeWP9z2O7xeL7f+58/41jf/nWNHjxGJRLj6uqv51re/CeihyL/+/a+58upXAuUhk3/8wx/L2v3NH3+Fx+Pl3f/4biYmJlm7bg0//P6PyGVzvOZ1r+ar3/wKjkIZonv+ejdf/eLX2L9vP5IkcdqW0/jaN77CgoVTAiy9vb18/IYbue+e+8hmsyxdtpRvfvubnHa6Xq7jz3+6gy989gscPHCQhsZ63vCmN/Cxj3+0ZJJfPAEVBAEJPfz4js77+cPRuyr+FrXuKj644e3UuCNM5qKEnKV1oUVBJOgI4xAdhBwRM1f35QxFUXC5XJx33nll6xxFwnnTww6Lx9DZjGSyLBMOhzn99NPL1hmhzi80NDTi+TjxfJy+ZF/JOrfkJugIEnTqRHdDzUbGMqN0xbqQNRm7aCdUILEhRxCf3fechc4cohOH5JyVEOvRCXnyap6gI0g6m+aa9a/i9of/yJp15TmEqqYgqHMLE50LDh04xDe/9O984z++isfrwSC6f77tDtxuN21tbRw9fIybbryJjZs24rX7GekeK2vn5ptv5nWve51Zb/nlCKt5g7FcVie9aAyyWjZQHE2lqqq5rKoquVzO3F6WZVKplLk+m82a6wVBIJvNcuLECTNcPRaLlZTIkWWZdDqNJEnIsowoiuRyOXPc9Hg8puCozWbDbrdbfi7+bl6z5e8HL/832Tz+LnD0qF7XzlCLGxgYQJZlMyQjl8sxOjpKU1OTOaiOjIyYVr6ZkM/neeaZZ+jr68Nut7N06VL6+/sJhUKsX7+e48ePc+TIEeLxODabjdraWtatW2daFIeHh3nwwQc555xz2L17N/F4nKqqKrZs2UI0GmXXrl2k02kaGxvZtGmTObhqmsbBgwfp7Owkk8ng8/lYsWKFZWHuYlxVcyZjYvnLtBJONujCkXJS1VVDyp8kWRdHtVcOv9RsKvHGGKlIipZ0Cx01C2huacLtcZ/UMWdCsYJySk6YNUhhiuCKgsSKNctYvWpVyQR1NmSzWY4fO0Hn0S6ymXIlymJoqsbubfs57YINuGzlIc1OyUUyn8AfCtJ7vI/mdusyJi6XS1cQFnRl5ERB0GVL+3I8DiepXGk/dsSPMDw8ysTYJKGqUo+Z2+OioaWO/u5BAEaGR4nHE1xyxdwFdQyCCyIT+cmSWpoXNFeOdkinUtidNnoSA/htAaq9s5Pp6dDQ+Pa/f5tP3vCpEk/D0jXL+clv/pMNi1cTcoSJZqZCMBu89SYJHRgY4B/e+Ba+8KXPc9U1V5GIx3ns0cdRVY0ffv9H/L+P3sDnvvhZLr3sUmKTkzz+2LbScy/ui5EXLQgM9PcXtXt1od3H0DSd8AkIPPTAQ7hcTu66905OnOjmPe98L5FIhJs/exMAqWSSf/7Ae1mzZjXJRIrPfvpzvO7Vr+eJZ7YhiiLJZJKLL7iUxsZGfv8/v6OurpadO3ehFSZzjz36GO982zv52je/yplbz+TYsaO8/70fAODjn/pX87cr7ruIiIbGrw79iXu7H6l43RcF23jfurfgtjnpjB9BEMQyYgtQ66rXz1cQLD3rLzf4/X4ymQyiKJ6yerLf70eSJIaHhy09tqFQiJ6eHlwu10kprcNUfj5YK4Y/H0gradLpNINpfcxwSS4izjALAh1EnGE89tnfmXOFTbDjswVx2zyzRh3ownw5VE0tGFVCOEV9nB3PjqNqKk89+jSvf+Wb2NuzC1+hTJysydi06arxs7/zvvHFb9Hc2sz1b3z1DFsVyidNTHLTx2+mr6+PcCjMmWeeyQ033ICmWh/nox/9KG738/cOfKFhRUQrVRQw/tc0rYSYGv8LgoCiKCUCjrlcaURA8bIgCOTzUyJbBqE22tQ0DbvdjiRJaJpGNpvF7XbT0NBAPp+nv7+flpYWAoEAqqpy8OBBli5dSk1NDYqisG3bNpYtW0ZjYyOqqnLPPfewaNEiM+1gHv/3ME9s5/GiIxaLMTw8zJo1eg6YpmmcOHGCSCRikktDfdJQS85kMsRiMerqZs8P3LVrF6Ojo2zduhWXy8XevXuJRqOmSqaqqqxatQq/3082m2XXrl089dRTnHPOOSXt7Nu3jw0bNiBJEtu2bWPbNn0Cu2XLFmRZ5rHHHuPIkSOmFffAgQOcOHGCjRs34vP5GBkZ4cknn8TpdJo1eSvBCAOaDXP11grCVFikIAhoqoZ70oMr5iZVlSBVnbQUmPLb/SwKLmJRaDFh5ykQG02jPzmAU3LMEFqqw1BQzihpUnISDX0C5JI8uCT3SYXHTU7E6DzSSV9Pf4nleDZkk1kO7DzE6o0rK+bbxvIT1NRVcXjfEZatXGpp3TaIo6GMDOC0O9i6cDX3HNhesn1azbEn2UXjoTrWn7m27JjtS9pMYguQzWQrlJOxFlcqRpWrile0vYLJ3CTDqeGKv4mqqiSFFD/f/Qe6433EEimO7h/nlavP5pWrz2Fl49SkwSBExf0xvnvk4Uf5xMduLLtHD+0+wM0f+iR/vuN2mnxN1Lhr2T++H01JU+duMLcbHBhElmWuvvZqWltbEASRVQWBny994Ut88MMf4F/eP1W/ctPmTaUhyUWXQ9NUhIKQzVBRu21tupLzqtWr0DTVnDI7HA5+8OMf4HY7Wb5yOZ+8+RN88l9v4lOf/iSiKHL1dVfr5oJCmz+45T9obWjnwP4DrFq1il//6jeMjozy2BOPmOPWwkULzfa/8Nkv8JH/92He9A9vAqBjQTufvPmTfOoTN/HxT/1r6fUs3FOyqvDk4DM83v+M5e8GUOUK8J41b8Rps3Esfli/Fhok8wm89lKiZhxD1VRkNYtLevlM1q1QVVVFVVUVjz32GGvWrMHv95NOpxkYGKCpqcn8HWaCJEksW7aM3bt3I4oi1dXVZLNZJicnWbBgAW1tbRw6dIhHH32UVatW4Xa7SaVS9Pb2smzZshmNrUZtV32h8JwIpXVtnyvh9do8RJxhwq4wEWfYFIR6LohPxnn0gceJTcaoX95EPuJgWdViTm9eM+u+mqaSU3NmRI4oiDqhFSDoLJBXVWYkPVqRr8qq7mmeujZWY9+p441vfQNvfOsbCv2FfDZPLp0nl8mRz5ZHhb3Uy7FUuocqfV/8fhQEoWx5+vvGqBVvvFsNY7ORx+rxeExCm81mCYVCpic2lUoRDAbN5Xw+TyAQQBRFstks2WwWr9eLLMumYFsgEMDlcpkCTYZRIZPJWC5bGaTm8X8H88R2Hi86jh07hsPhMEnqxMQEiUSClStXAlOiUeFw2PSGjoyMlBXLtkI+n+fEiROcfvrpZvubN282le2AksLaPp+P9evXc99995m5JAZWrVplKsx2dHSwZ8+ekjys5uZmRkZGWL58OYqicODAAc4991xzH5/Px+joKJ2dnbMS27liNlJbbKk1SW2RpVXQBLyjflNgKhNO47K5WBhcyMLgIuo9pyZiMJAcZM/YXvaN7See119Oi4OLuLDlfGo9lc9dEATcNg8uyYWiqUiCdFITvcH+QY4e7mR0eNRs72RDjEZ7xxloGKSpqbGMTBv9yypZwlUhjh4+xuKl5Tl1BrH12wMlpWQuWLq+jNgCPBU7xIbBxcQnE/iDpS9lX8BLbWMNw/0jZh/UwrUphv6bzq1+arCQUzeVh1t0H2nQnxrk2ZH9rKlewVmNp+G3+8it0ajxhan1R+acS/2TH/2k4j16/1/vp7e3j+bmJtw2N6urVjGcHsYhTj1za9au4fwLzmfTus1cdMlFXHTxRVz3qmsLlvwBzr/g/Fn7YPwWOTWHS3SXtXvxJRdxYaHdQNBPUkmS1/IsX7WMvC0Diopb8nDa6aeRSCTo7emlta2Vo0eO8fnPfJ7tTz3D2OiYORns6ell1apV7H52N2vXrS0iU3o+roaKgMie3XvZ9vgTfOWLXzX7qigKmUyGdDpdRpDS+Sz39zxGTq2cQhBwOPE6BH5+6Jec2bgJr0Nvwy7aK3rUZFUmrSSwCXOPhHipQhAEzj77bPbs2cPTTz9NNpvF5XJRXV1tGknnghUrViAIAnv37iWTyeByuUwPkM1m4/zzz2f37t08/vjj5PN53G43dXV1s3pwM3KerJwzveSiIBTEyIotMIVzmUZ6Kz3XAbvfJLFhZxin9Pz9joqq8Pvf/pEvfOQrpJNT4mSvvPqVvPpnP5lxXyPs+K6/3sXXv/gNDuw/iCRJnL7ldL7+za/S2tFaktPddbyL11+hG3m2rj6Pd77znbQvbuM1b3oVoCGreT1/WBBIxBP8+ue/5cihI6RTaSJVEc47/zzWr1+HaBf53W9+z+GDRzh88Ah/u+cBAD73tc+Yx+o+3sMff3sbg/2DNLc28w/veBP1Dfr8QBDgwL4D3Hn7XxjoHyQYCrD59M2cd955ep5tTi4JRZZlmbvvvpsDBw6QTqfxer1s2rTJNIzffPPNXHnllRw6dIiuri5CoRBXX301Ho+HP/3pT/T391NXV8d11103o+GlmEyeDIpJqTEWVxJiNI5js9lMYgqY93U+nzc9rMaykf8LuqdWFEUznN/w8JoGtArLRn8URSlZNjy/BnHOZvVoJ+NZNoisMVamUnp5oJdzret5PHfME9t5vKiQZZnjx4/T3DwlANTd3Y3L5TI9quPj4+RyOVOVUlVVxsbGCIfDs07ik8kkqqqWvDAcDkcJIR4fH2ffvn1MTk6W5IEYlkUDxZ9dLldZnUaXy8X4uB5SmUgkUBSFhx9+uKQ/qqqa5zUTTvblVYxi7+x0UiEIAm63uyycV5REqkMrqG2soSocmab6OjekU2mGB4foHxrkhK2buCeO3+E365Em5RR/7voLS0KL2Vi7vuA90iwn3IIgYptjHxRF4URnN8eOdJJMlEruTyf0c8XhHccIRvz43eViXZIgIQsyweoAw4OjJBNJvL7SF6kgCKCBJEq0BRbQHe9C0RSW1DbTFKqmb6K03MfhVA/RfIKuwydYs3llWX86lraZxLZ1SVNFkqKi6EJJiMxcd3Wqn1YT5/ZAK+2B566S232iZ8b1PSe6aW7WQ7odkoMmb7MpjAS69+wvd9/Btsef4L577+P73/s+//apf+Oue/4CWFfuEQTMUhig32H9yV4UFNq8HYiihGSz8Ze772Tb49u47977zXYffuwhQk1+VE01CX9OzSJb1J28/trX0trWyvd+8B0aGhpQVZVN604jVwg1d7vchT7qnVRRTG+dKOhjxCdvvpGrr7m6pF0N1Zy4GffuRCbOXccfRFZlfA7rSVvE5cZfyPGMZie4r/thLu+4hI5AB4ECgbC6b0RBr4VrF0++JNdLEXa7nQ0bNrBhwwbL9XOpnysIAitWrDDr1k6H2+22zLGdDYqmkLO4l4wSNDrZFc1SJGJReRLjuQ45g0RcESKuMGFn6Hn93fJqnmh2gvFMlPFslN079vCt930bVS59H915+5189IMf4/u3/EeF85TJK1lUNFLJFO/9wHtYvXoV2VSez336c7z21a/jwScfwFtU0qu2sYbP3HIzN73z09z+4B/paFqgPygFaGhkclnS0QxjY+NEghFe/7rX43Q6OXz4ML/99W/xe/00Nzdz4XkXMtA7QH1DPZdfdRkOp4NQJMTYqJ7ic/sf/sSrX38dPr+PX/3s1/z8J//Nxz75EQCOHDrKrbf8F9e/6TUsWrKQkeFRfnHrL5HsEldcczmKrD9DDrcDySbx+OOPc+jQIV7zmtcQDAaJxWJMTpbqODz00ENcdtllXHbZZdx777384Q9/IBwOc/bZZxMKhfif//kf/vKXv/CmN72p4m9jhO9avcdmy4GttGx8FkXRTBXRNM0UkCoWQjTWncyyqqoly0a7c13O5XJlQlVGXixgph0Y85l0Oo0gCHNKUZvH3y/mie08XlR0d3eTz+fNvNNsNsvg4CBtbW3m4DswMIDX6zUHq/HxcRRFsSzlcbKQZZmHH36Y+vp6Tj/9dJxOJ6lUiocffriMXE73/M3kCTRErbZu3VqWi3MyCr4nY6EtfllVssR6PB4uv/zyk+rDXOHyuwn7IyxdPHdBDU3TyKrpOSnRToeiKWTkFBkljS0EnpCbVDJV8cV/MsRWVVT2bDvAxvPW4ZKs8m2dpOQky9cs5fC+o6xcU37OhqfWY/PS7l/IiXgnMjIXLF3Pz5+8t2RbDdgeP0Sk109qxQI83tJ7JhgOEKkNk0lnaFncxPQaqXqNR52iPp9hjc8V7R1tPPnEk5brBEGgtb1t2ne64UD/qaYmYWeedQZnnLmFGz91I0sWLOH+++6nrb2NB/72AOedf26ZSnLxsihIOCQH6UKIu88RKGr3TM4860xu/NQnWLJgCX+6/U/80/vfjQDs33uAdDqD2+1CReHhbQ/j8/lobWlhbGycI4eP8B8//C5nbT0LgMcffdw8pqIprFq9kp/+561MTEwQDIWmQlDRQ3/XrV/H4UNHWLioNBfM9KFrujdjIDHCvSceIafmLb1xAgLVHg+eghdFFERWRJZzRsPpNPtK88ArPRsO0alrbVuGuM/jhYaGhqLH0ANTueg2QaLKXUWtu5padzVVrohleaxTRVbJmiR2PDPOZC5Wsv7hXz5cRmoN/PK/f8XnvvRZqqqmRO9UTSWvZkt0Eq669kpEBBySG0GAH/z4+7TUt3Fw/wEiwal9JUnCH9KNoO6wC6/PW6YYLtoEbF4b/oyfs846y/x+y5YtHDt2jH379tHc3GwaniVRQlRsyCmVsUyUxITu0bvimitYskwv7XLJKy/me9/4PrlcHofDzp23/4VLX3kJZ2zVDRc1tdVcdd0V/PE3t3HFNZcj2fTnw+N3Ud0cJiNnqK2rZfGyxcjZvKXhet26dWYE2llnncWPf/xjzjnnHFNBe8uWLdx2220z/FKzo9L7ba7CT5IkmeS2OH2neDyYPj5YLRfPLTRNKxHCU1W1ZHk6kS2uAw+6R7hYkC2bzZYsZzIZ3G632YdUKoXb7Z4Xgvo/jnliO48XDZqmcfToUWpqakzS2tfXhyAIZthwOp1mYmLCzIPTNM0U9ZiLiJDX60UURaLRqBmeksvlSCQS1NTUEIvFyOVyrFmzxuxDNBp9zudm5IykUqmTDjtetLqD8GiQVDxFMpEiMZmsWFpgJu+s1bZOp/MFIbWnCpNwnsRcWlbzpOQkOXVKhMnj97B0w0LaljXTd3SAoe5h1ILwh6qqp3TOqViaI3uOsXzNUsvQW7fkIZ6fpH1RG8lkCq+31EpseFkAXDY3HYFFHI93ct7itfziqftQjYkGAmFPgDFHkqrqCLHROAFfwPSmGh6bs84+A1GsHJr9UqQj73z3O/jdb35vaWi59IpLaGqyru8nCKBpAk89+SQP/O1BLrr4Qqprqtn+9DOMjIyybNkyPnnTJ/mX9/4LNTXVXHb5ZSTicR5/fBv//L73lrXnswd47SvfwCuvupz/96EbeOrJp3jg/ge48OILqamt4emnnjbbtYk2REEin8vz0fd8jA/c8C/0nOjl65/7Ju96zzux2xxUR6qoqorwn7f8lPr6enp6evjUJ24GpsosXffa6/jKl7/Gq6+9nps/dxP19XXs3rWb+sYGTt9yGjfc+DFec81raWlt4drrrkEURfbs3sO+ffu5+TM3gSBwJHqCR/qeKiHFxQg4fLxl+bU8PPAwGTnLxtr1nF6/maCzvGyPospklQwuW7k3QxREZE0mlp9ALLq/RCS8M9TKnsfJoa2/DfeEG0VUUCQFVVRRJAVFVFAlFdEuEAoGCftDVPnChNzBk9IWmA0pOc14ZpzxTJSxzDhJOVlxW0mQSPRWXi/LMp1HO6mqqtLLwKhZ8lp5mHzX0U6+9Nmv8vRT20tC9g/uPcyZZ51h2fZ4eoJ2RcHq1J0eO3JW5t4772Pfvn3EYjGzrMtMoeCaqpHP6P1zSx5GesZxuOy4HLoRUReFjNDb3UfnkU7uuuOvRfuq5HJ5stkcTmfpvOOsc87g37/6Hb71jW+yYvUKVqxcTseCBeTTeXKF4xXXJTWivIr1QYyc0unE7VRQibjOtr0BSZJKBKIMsmu8Q2citkZocfHyTB7c4vxcY3m6x7bY+5rL5UocBdlstmR9Op2ez6+dxzyxnceLh1gsxsTEhBkypmka3d3dVFdXmy+owcFBJEkyvbOpVKqkLNBsg7fdbqetrY1nn30Wh8OB0+lk37595nqPx4Moihw5coSFCxcyOTnJ/v37n/O5GerLu3btAqC6upp8Ps/o6Ch2u5329vaK+wbCATyhUo9dJpUhGU+RjKVIxlOkCn+KMjdhJH/AR2t7Ky2tMysyvxgQBLGs1upMsIl2nJILRZNLPAMALo+ThWvaaVnaRP+xQQaOD6HIyimFIwMMdg1T1RChvrbOMt/WITnRRAUlZd1/Q8UWBFySmyWh5TR5k/z+LV/HITmo9oao8oawzcUL89KxR8wII9dXA7actYVvfPtrfOxDN5j5WgAbTl/PKz5+Cb2JHpp91vekIEAgEOTRRx7lu9/+HrFYjNa2Vr781S9x6SsuBXSL/Te/+Q0+fsMnqK6u4tpXXVvaRoHueyQPPV09DI0MgabhDwR45JFH+c63v1vWrlZQbT37vK10LOrgukuvJ5/Ncf1rr+fmf9MVkW2SjZ/94md89EMfZdO601iyZDFf+9ZXufTCV5SIT9125x/5xP+7kVdf9RpkWWbZ8qV8/dtfB+CiSy7i97f9hi99/qt846vfwG63s2TpEt769rcCsGNoHzuG91a8zo3eWj608Z1UuUKsqF6KVPBMT4eqKWSUNHIhN9coo1V6rUUETdBLQmklKyoefx4nD0ETcKgO0wtqd9rwBbz4I158YS+ewPMr3pVXZeK5OCPpUfqTAzMS2WK0+9s5o/5M7m29n4O7DlXcrr6hnrySQxZkVItaygICr3/Vm2ltbeE/fvBdGhobGE4Oc+mWVzAkTwnilZN3jUQuic/uRZDK78Gnt29nz57dXHDBhWZZl/vvvx9RFE3i5HK5cDqdJUTKZrPh9Xr1+YUGuXSebCKH1+tlcjiOQ9ANv9e8+mrWrC8vP+SwOwABr9eLTbIBAq3trXz+a5/hwP5DHD1whF//929ZvHQxb33XP6CpGl6vF3/Yj8PlQM7JSJKE1+stqf1qt9vxer0VNSGM87Iy0M4l7LjY+C2KoikQJQiC2WZxuSvjeEbOa3F4ss1mM8OUJUkyQ4UrLRvnaRy7+LyNczeWNU0rIbq5XK4kMi+bzZakhGUyGTNFDXRiOxeBuHn8fWOe2M7jRYOheFecS5vJZFi6dCmgh6kMDQ1RVVVlDnxGMW7DKpdOp8sbnoZ169bxzDPP8Mgjj5iEM5VKIUkSLpeL0047jT179nDkyBHC4TBr167l0Ucffc7nt2rVKpxOJwcOHCCZTGK32wmHw6dU+87lceHyuKiqKx2008kMyXjSJLzJWJJUIo2qqLjcLppbm2hubSYU1l8GAn8fITpWCsrFcDjttK9ooXlxAwNdQwx0DSHnlZMmtgAHnz6C/yIvPqdfJwBG/hsCNtGOpqnYgg40VUMQSydh+nZTXlYJCDkdrG967mH0/1sovmZjyQmeObGfZ3sPMxQfYyiml+n45T9+ydy2uB4xwNvf9TYuvuwi7vzzXcQmY6zfuI6FWxbw5PATPNj3AJtqT2NlpDTn0cDyFcv481/+jKIpJQrEBt75rnfw5re/kcHUAB3BBSXrsoo+NqiaBoLA0wefIJaPkVEyLF++jDvu+nOF0NxCfq8g8a+fvIHPfvqzZR57TdO44MLz2bG7VJ04mY+XeFdb21r579/83PLcAC685CIuvvSSkudS0RQe6n2Cw9GuivstDrXzzjWvx1so3WKlfKtpKlklY0Y2COb9ah0hIQgiWoGcGJEC02v/zuO5weaQiDSF8IU9+MJeXN7nr+6tpmlklCzRbJSh5DAjmVFyam72HYsQcoQ4s+EsWgrGpje/5U3c8ac7Lbc99/xzCTUESCtJPLZyL5mAQHIixeFDh/neD77L1rPPQtVUHv2z/m4t9u76ClEBhkFblvPkhAzJNPh9/jKvYnRknNPOPJ2Np21EyU2VngkEAmYoayQS0QloUWir2+0mEomYtUxBN0BFIrognpxRWLpkKROjMRyiG4fTjt1px+awlTwykUgEh9NpPh8et5eNGzewceMGNp2+mV/+7Fdk0xncbg+RSIRgOEBVfRhV0xAd+v4ej9vsg1W/imGQWofDUUI2jXUwlX4023IxkS0ODTbCj43fQFVVFEUxiaYsyyXhyUY7DofDJMpOp9Mkrsa+DocDm81mLjudTux2u7lshI0bpNY4R1mWS46vaRq5XK5Ef8AIRTaQSqVmLac4j79/zBPbebxoSCaTpoXPWBYEwSSt4+PjyLJsWuRkWWZ8fJyamhrzRTddpMEKdrudLVu2mMuyLLN//35TDbm1tdX0ABu4/vrrzc+1tbUly6CrInd0dJR8N12URBCEMlGS5xturwu310V1/VSukqZpoILdZkcSbIiCiKLKiIL0snHATGYnkQQJn6NyWNGUgrKbtJIkLafKcnVtdhstS5poXNjASM8oPUf6yKZLa+w5nPrL1uVy4iz6czmNzy5cDhcOu71sglUMrSA4VPY92kuuRqgpaKSpTGQnCTj8c1I6rvKGuGTFmTSFavnug7/mzj0Pk5Vz9EaHaArVlpFaAy2tLfzTP7/LXD4YPaj3A43u+HGWhZYXlGLL9xUEkJD062uRA2qX7DT6mpBV2fIcDFVkny1ALB8jJSdxFYigrlNsBd14EXAETyrnVKsQMlwJgiAU7hldKTmn5LjnxCP0J4cq7tPmb+KqhRdhr/B7aZoueJVVMhhnJwk2JMFWOJ71ddRzwhVExPk82xcIiza2k1Uzz0tbqqaSyCcYSY8ymhkjmplArvD8zQa7aGdjzUZWVa0u8eZfcdUVfOijH+SbX/tWyfaLlizkqz/4IqqmWI5tAgJOyY0j4qSqqor//PF/0tBQz45DO/jOp78H6M9+TtHHYr9dz3uva65DEAQevfdxtIs07E4HASXIw797iAfufogf/er7AOw9uIf77rof37+7URLw+1//nkceeYQ1a9aYEWDbtm2js7OTYDCIy+XC7/ezb98+brnlFi699FJznnHs2DFuueUWtm7dSl1dHU6nk4997GO8Yecb2Lp1K4Ig0HW8i77+Xt734X/G5XNzyy23sG7LatqWNPPTH/6Mmroalq9ajiiK/Ph7P+Gh+x/mwze/n7SSLNkWYCIT5ZZbbuGVr7mMunAN6USGYyeOlvWrGAap7erqMmvCViK2BuE0QogN4mrofkwZD+QSD6lBXA3iKMuyWboH9HzXfD6PzWZDlmXTu+z1epEkiXw+TzqdNkU9M5kM8Xjc9Kin02mi0ShNTU1IkkQmk2F4eJjW1lYcDgfpdJr+/n46OjpwOp2mIrIRmj19OZ/Po6pqWf/mQ5HnMU9s5/GiIZFImPXOQLe2OZ3OkmW73W4OZIbisBGaYtREmw3RaJR4PE4kEiGfz5uhyE1NTbPs+fKEoDMBZE0um+g4BOcLVqsymUxy5513cvHFFxMOhxkeHubBBx/kmmuumVM+NMCRiaM8OfgUnbEuBATWVK3mktaLcNsr91kQBDw2Hy7JQ0pOkFHShcm5WFAYFRElkcCiAIsWLULOKWiKhsPuwOF0PI+T+Eo0SbMkEs83NE1D1VTS6TSxWIyoI0pOzbE0tBSn5Cwj3Yqm8IM9/8XRiS7sop3Ndes4r+lM6r2z54SvbFzE99/wST5z5Xu55dE/srP7IPXBuYeAZZSpyf3iUCFCQ5ORsFUkt4IgmnnTJesKE2tFU5C08hxkQyXZLjlwirroV4SZayqLRbnNVjgVsbOyfhfnqqGRyCX46/GHiGYrG+vWVq9gY91qFMoJjKbpJVEyStqMYBARsYn2MpVzFRWJ6eHIApImvTSTteeBoiqmyNNYJspEbqJi7vXJYHFwMafXbcFrt1bb/twXP8uVV13B7bf9ieHxYdZvWst1r72movKsQWr1EFiR//rFrXzkQx9j49rNNC1o4j2ffjcfu/4GANOj7Hf4UclT01DN2z7yFn70xR/z5Q9/lUtefREf/vqHOXLiGHv37DPLpr39fW/l4IFDvOmat+Byu3jF9ZexYtMKYrEYWVsGUZa48qor+fznPs/1119PNpvl97//PdlslomJCdMbCDphmpiYIJ/PoygK69at48Ybb+SnP/0pP/rRj7DZbLS1tXHllVcy0qOrKk9MTDDcN0psPIEginzzS9+i81gXkiSxbuNa/uPW7yCIutFqYmKCXD5njhmKquh9UGQkh4gv4sEbcTMxMUHtwhocop10LEM6kUErGu8URTHJ20zE1vi/WOUYpoitASM1xBiHjFI+BjE2iKOxXS6XM72yoiiSyWSQZdkshyUIQsl1NWrUappm5g8by0ZZM+NcipcN7+10Ilup1I/hsTWi9+ZL/cxD0E4lNm8e83geYCgPGxbWnTt3ks1mTa/noUOHSKfTpsfzxIkTJJNJ09M6NDSEqqpcfPHFMx4nGo2yfft24vE4oiia4cZzKbvzYiBdEEbKq7lTtsBXgk2wU+2qm33DU8CpEttEPs6OkZ08NfQ0Y5kxiz7bOLv6LM5o2WIZpjUdL6ayqz7RtBpShVMSgSmuM2t8Bq2iV61/qJ/tD+8kVjdJsirBFW1X0OBtsGz790f+zGMDT5d85xQdvHP1m1kSWmC5TyXIiqznUc0xV/qJwW10xbvw2X1c3vpKnJLb3Ff3LFbed/obS9VU5EJYoygI2EXre03VNHJKloF0Hy3eNmyFMinWr8DKr0VN01BRyzxVGtpJEw3jNxxNRbnnxMOkZGtvniiInNN0GsurFgFCmWfcILRTeY562PH0XNqiI1uWidHvsalzmBePen7RHT82Z49tTsmZRHY8E2UyF3teDCoGwo4IZzVspclnLeBWjIHkAP3JfhYG20tq64L+2WPzmfe+QWqnP0PHJ4/Tnewu+W5pcAk1hbrmB6MHiOdLVZn16AP9Xq92VRFxWadwZOQsvYle1OJjqiDmRcS8hCiLiDn9f0ERLL3Ms8FKo8F4fm0OCbffjdvvwu13IUnPPYRf0yCTzJKOp8ml8mgyHD169Hnz2BrtGMtGDdrimrGiKJYQS0EQTGJplEYUBIFcLmeGJweDQSRJIhaLIcuyKZI1MTFBNpuluVn3XEej0ZL53Pj4OBMTE2aq1tjYGENDQ6xfvx5BEBgdHaW7u5szzzwTURQZHh7m8OHDXHTRRdhsNgYHB9m1axdXXXXVSdWsnsffH+Y9tvN40ZBIJEpKBaRSqRJrWyaTKSFE2Wy2RPUwk8nMKewkHA7PSn5fShAEEYfkxCE5yefzxOIxckoOu1vC7vj7qDVZjN079jAkDdEcaGJZeCleuxef3YvX7sVr0z977HOvS/dihlEaYa/lKK+na2ynofFY1y7uObSNkWSU0USU68Pn4FHsnHbeRvyB8ntcRMQulnubM7Eckbowo9XDbK3bWpHUPt7/dBmpbfI28PaVr6fGXcXfev9Gf3KAddXrWBa2VoUuhi6kovdM09TCBFOrGIZteGw7/B2FvGUwMjv1ayVUJLe6YnLRctE6VdNQVBXJQoBFQMAhOqh21pJVsiaxrXAUrMhtXs0jq3mcFiWgNNOocTKhyxrd8X4e6HnCslYugEO0c1HbVpp9DRTShU0omkJWTpvEHkrDjmc4smXotn5/TvVNPQlRt3k8N2TkDGNZncSOZ8aJ5xPPW9uKqpJVcmSVPAI2zm3ayml1G2c1tqXyKR4bfIy8KnN2wxkoWIceQ+H5kpyWpDaXzxM9PIlH9KLaVVS7gmpTyXqm0kJCznAZsdU1CvSyaaOZMeyizayLXgyXzUm9p47+1JQgFSKoThXVOe0eLia8Rf8L6syE18oAZozp+axMPhsnNqrrhjg9Dtw+N+6AC5fXiSieCpEGt8+J2+fUR0ZNhKBCdHiCyZE46fiUvsj0vlnVq4XyEoXl0S0zl/KZrmhs6JQYZRIVRWFsbAyPx2NZo7bYMD1dxTqfz5cs53K5kgg+QzHa6IMxPzTaTKfT2Gy256wqPY+XP+aJ7TxeFGiaVpLor2ka6XS6hOhmMpkSopvNZvH7p15q0wfCv0fY7XaqIvo1MVQMDTVgVVNQNAWlopfw1NDT08P+/ftJJBJIkkQoFGLr1q3YbDY6Ozs5dOgQyWQSr9fL4sWLzVp8p4oNm9aznrXPU+9fHJie1UKerdWEMSkncErWL90z2lezu/8Qv9ihC7VUpz28fd2VhAIhy7DTSoSjrrEWuSaHmlJYHrEWKTs6cZw/HvtLyXdnN57OtQsvRxIl7uu5n/1RXRn8b31/Y9vg46yuWsPmuk0zeACnIAgiElPePyuin1EyOEQHdZ5a4rlJ7K6acv/nSZDbYihaHlFzlu2rL4s4bc6SY1XOsy3qjaYhazLRzCRV7pD1NmZrc8eB8WNs699R0RPntXu4rP1cqgqeKlXTQ4jVgjBUvqjklVAIO56NrCiqwtGJYyyNLLVcLyCYk1qx6PM8nhtUTS1RcU/mk4xloowXyGxKnj2tZi6QVYWskicr5/X/lTyyqhPS0+s3cnn7xZZiY9P7+uzoszw59BQ17houa7mYPLkZiJ+AQ3KYhqnpGOwbQFM1RFVClCVIFwSKJKAgcht2hOnhRNm+oihgCP8PpoawiXbctnLDks/ho0atYsQi6qe0QWvCK6ggnCLhne7NzaZyZFM5JoYnEQRw+XRPrsfvxuF2nJLWhSiKBKv9+Kv1OVE+myc2liA+mmBiJEYunatIVCspJherERevt9q/WFjK+M7Y31Badrlc5twO9PmLUZtWluUST6osyyUkdPqyQWwNZLPZkv2thKMMZel5/N/GPLGdx4uCdDqNqqrmwJTP50sGPiOfxBjYNE0jn8+XKeS9lGqyvtAwXiI2wY6N0heMhlZCdlVN0SczJznGp9NpnnjiCdasWUNzc7NZokjTNE6cOMHevXvZsGEDoVCIiYkJtm/fjs1mm7F80csV+XyebCZLJpMlm8mSzWbN5XB9gOraCKIglZMSTbDMCbaLdkYzI1S7asrWAbz7zFcTdPv4t7t/yDOJo/z7pjVIooSmqpZEVtEUbELpEO7xuBgZHOHM+jMtjzGWiXLrgV+bE2yX5OQNS69jfe1qVE3l3p77TGEnA2klQ7W72iS1w7FxagOz59PqdXilonDqqXPIyBkWBBbo54dO0uyifdr5aAXyak1wp8itgCgIZl1gDZ3c2gRro5eIpIfyTnd/VoCqqciqjIZG0OnHirzOHCJa7sXVNI2nh3azZ7RyKZUqV5jL2s81lY8NKJpCMl8almoT7EhzEP/qjvUwkBzkzMYtZj/KJ4ICCJoZfZCS49Mm9gX/+hwHF03TUFDMUFXdo1y+b++JPo4d6cLhdLBl6+ay9T0neuk6Wkp87A47Z51bfq+f6DxO17GpbWcr9SUIAuvOWY2q6f1UVfWkSpDNBRO5CYZSQ4xlxhnPRskq2dl3mgWqppHOZ8kqeTJKjqycLxg6pyAJEmc3buH85nPwzyDGZ6A73sPD/Q8xno1S5aristaLyWuzkFrRQeFRLEM6m2F0aNxyz3x2ymPrtDnx2DxlBF9CRIxJqDYV1a7Sn+inJdCCwyLiIuwKk1PzTOZiZetmgyaCZkV4FRAKocySLBXI7+yE12xXg3Q8QzqeYZwJREkoCVt2OE/NOG932qlqDFPVqBu9Msks8bEEsbEEkyMx1Jw6K7GdjkrE10AlImyoUhsiVy6Xy8xbHhoawufzlXloZVkuibibXrM2n8+XENdcLlfi2Jju+JivYTsPA/PEdh4vCpJJvZ6eMZAZif8GsTWEAooV8awU/OaSc/n3Dp1A6DmcyUSO3u5eek70kUwkcXmcuL1uvAEPXr+HSFUV1TOkn2QyGTRNo7m52XxpGLnI+/btY926dWaOjM/nIxaLcezYsZcNsZ0yAsj6BNb4Q9VDaI2JLSqZVJa+YwMMdY+gKqWTne4ugXUXrCLij5R7yATrME+7aCev5BhKDVDnsQ4Rft36ywg4fXzsz9/kqZ59nNm+FkmQLHM3raZUKhrrqzdYeu2ySpaf7Pslybw+cWz1N/O2Fa+j2h1BURXu7r6HI5NHyvY7q+EsFoemvPKHh0/w5ls/wfvOez2vXHW2Zd3Fkn4W7k9NE8w81Lwq0x7oQMPwYGlklAw+i7IhsWycgNNfkdyCgKTZkQSDPutRDGKhHu307XWPp/77i4JU0f2raSBr+ZJrb5TBKUcl0lROahVV4aG+J+ma7K2wD7T4G7iwdavl5F1AwCbYyWs5REHCJsys1m0gp+RIy2mT1FbqnyAIoJUKW2lF2xmHmi3fU1EUVEEtq2+qagqCRb1db8BLNBoFIJPLlOXl2502c30xZCVfbuAUKNnWitg6vU78kakasrFcedunClVTmczFzPzY8WyUvJqffccZ4JScoAlMZhOMZybJKuUk1kDA4WdZeAmrIstZHF4wJ8XzWC7GowOPcnTyGAB+u48r2i9H1vIzEjiPzYcoSOSUbFFKwhQGugct9tKRy5aWIwo5w+WeawFsORvipM1cHvNMUNdeZTn21LlrkVWZ5PPkAdck0CSd8MpM/YaCAqIsIeREJFknvWQFRG3m8VBVNJITKZITev8ku4TH7zLJrs1+asZ6l9eJy+ukprVK95pOpomPJ3WyO1qeuwyViWylUkGzeXyn/x6BQABZlkkk9LB6g4waglHG/M0QmCp2XBQ7NkCfExbXrM1kMlRXT4kAztewnYeBeVYwjxcFBrE1LHJG6Mp0xTtjoDMU8oqFDoD/Ux7b2aCqKvFYgngsSSad1iX3U1nSyQzjw/qkLRwepe2yjoptBINBamtrufvuu6mvr6euro6WlhZEUSSRSPD000+zffv2kmO+2OHgaTlNJptFUqSS2oBWMEgW2MgquoJyJbg8ThaubqdlSRP9nYMMdA2hyFNKk/u3HWLD+Wvw2n1lxELRZGwWw2uNu5ZDE/tRNYUGb7PlcS9fsZWw2899h5/gzPZ1CIKEqJV7kDSLyaaIiMsiTA/g90fuYDIbw2Nzc3bj6VzadgGiAFk5wwN9D9Gd6CnLHV0RXs6m2o0l361vWcaBgS7+6Refo72qkbefdQ2v23QZXufM4Y3FBpgr26/CJkgk5BhCQYPYyosHkMil8Tm8BcEsq3YN4qL7GEXEQlh4gbZZhCRLgh0VFbGgDGwVQKkTPGNt0XcWqCRApaELWhnb5OQcD/Q+yUh6DKcFuQNYFGrnjIYNSBbRAAbBsIlOBE0oUzu2gihIoGk4RDsrqkrD0zXLu0g/0tQVOXkPrazm9SgDi8tSMezaP+WtiU3Gqa6pKlnvDwYs90un0vj8pQYRt6f0XtQ0DXfAhT/sxVcgs/ZT9JRZQVEVotkJU+wpmp0oCTs+WXhsHoKOAA7JyWQ2Tk9sgKPp/orbCwi0+JtYHl7CssgSGjx15vM22+8mqzLPjOzgmeFnTLFCp+Tkqo4rEWFGv7XXppcJG8+ME3IFy9YnU0kmxicq7p/LlZL9kCNMf7KvbDvVqyKmpwwUWlJj7Pgk1R3h8jFBgAZPPf1jg2TIoNrUF0TpW5NAkRRwKuWE1whjNoWrxIqEV8krOgEd1+dEdpddJ7oBN26vE/EUhKgEQcAb8uANeahfUIOqqCSiSRLjKeLjCWJjcXM7qEx05xrKPJ0IFwtXuVwu7HY7k5OTpNNp+vr6TIdGcekhoMxxYRBbRVFQFMWcH6qqWuLhNVLZ5hWR5wHzxHYeLxISiQROp9Mkpul0GkmSTFKSyWRKFPsMD+50Ygv6IDeb1+jlAv2FcWr5sqIoUt9YR31jHbKsMDQwRM+JHoYGh0vKBszWxrnnnsvY2BiDg4McPXqUvXv3snXrVgA2bdpUZhV9IXJajNI1iiyTzeeIyhOM58aJZqOMpceJ5iZI5hMk8ylzAunMOWmNtrK6dSVLli+eUYlZFER89gBuyUNSTpBTK4cFOpx22pe30LyokYHjQ/R3DiLnZHLpPEef7WLZhsVlJZTUgvdXnJaT6pRcBBwhxrNjKJpCk7e17PrZBQfnLjiNxdUdqAo4bXZskh2V0omyiFjWPoI1yToUPUqVq4oLW85hXfUq6jzVuryTpnIi3kXIEWJdVahkn5AzzIrI8jIBEb/Tyydf8W76J0cA6Bkf5rt/+zVnLlzPeUs2zel+CDr0Y7ltXvJqrlBjWbQUdPI5vGaIssAMz7l5WK3os3VfRFH3HBrEtnjfYg+tTbChCFPXfXqJHPMopgDWVDtagbIbjafyKR4beIa0ksHnsJ6ArYwsZmm4o7CLhqophRDw4ta1gue5/J4o6VNBGVlAQEFGEqxf91bhyIIgkJPzOGxzK9NltGMS2hkwOjRGdaQap6u0bZtkw2a3Iedl4hbE1u12YXfYyU8jQykLYuvyuPGGPLo3tuCRPVVPmBXyqkw0M85YgchOZmOnLLTltXsJOoKEnAGCjiCqBl2TPRwc72QkbR3CC3oawZLwIpaFl7AsvMis+a1pek3kuTyHxyY7eWTgEWJFobuSIHFF+ytxSY4ZVfl1UmunJ3GCFl+b5Tb9M3hr9b5q5HN5UxTRY/PgEJ1l47HmLuTqFw1t+WSeiZ5Jwq3lhFoURRpC9YwcHUORC2JVdhXNroczqzYF1aa9oIRXcSlQgfCK+amQ5umEN5/JM5nJMzmik0+X14k36MEX9KGJGjMNgZUgSiKBaj+Baj9Qh5yXiY0lSEXTxMcSJGOl3m0rMSq9fJN+wQwia2C6R3e6QrPRXm1tLalUyvTgxuNxHA6HWVJo+vyuUqkfY9lwjGSzWVRVnQ9FngcwT2zn8SIhmUyW5FOkUqmSfIpMJlOmiGe3200Ca9Q7UxSFvXv3kk6nmZycpK5Ot1QnEglisRg1NTUIgkA6nSYej5vFw3O5XInYQHE9NlEUURTFVOEzrMSG6p5Bvo3BVZIkcyCfPkkstmR6vB5q62qoqa/F7a4UD6xV9GicjIiLzSbR1NJIU0sjuWyO/t5+erv7UOTZJ1+CIFBdXU11dTUrVqzgzjvvZHR0FLfbTSKRoK3NehJzqtBUBQVrASzJJuGxufHgpomp8F1ZlUnmk0zkJpnIThLPxYnlYsSq4+yP7mfgbwN0LOhgwaKOGY0ekmgj4AiRV/Mk8/ESddnpsNklWhY30rSgnqGeEfqODjDaN85w/QgNTQ1l5VPyqozTIqKg1l1HLDfBZG4CAZEmX0vRWsHMbawPVJHOZbEjmbnTJURWsFYcnn4VexJ97BzZS7U7wpa6DXgcblT0PMJ94wcYy5aLrfhsPpaGFxe8IYXcVQ0zrDTs9bO3/2jJPr/bcQ9rmhcR9gbM85gNgqArqWqaiqzJKFr5PoPJYXwOV+GUdS/l7OWAiq+CdY6uEXIuCiJoU/rNxfeAqqnkzPIs1qWEVE0pKCIXjl/4JzJVU/d4rJcf7/kNybx1hIAkiLx22RV0BBtLJvWKpqCh4RDdFp5nAVGTLMmtnsdaKPsxAznRNI2D0YNlnlyAg9FDLAwtqFjf1OxjQc15ttJkiqxwaO8Rejp72XL26dTWT6slLEBzaxPHj50gNhm3bCMQ9DM2Ukr20qm0/jspWbJKhpyaJStkWX7mcxO1K0ZWyZpqxWPZaAkRPBn47L4CiQ0SdAQIOAPYRTtjmShHol083r+L0RnIbI27muWRJSwLL6Ej0IokTo0HmqZ738uMXRaIZqM83PcwJxKl5XcEBC5tvYSwM0hezVXYGzwFUjuYGiSrZAtGk9J3VyweI5VIIUnSjDnOuSJiKwgCEVeE0fRI6UY2ED0iYrZ0LM8lZJIjGfw15ar5ol2kpqOK0a4oqDbIov8VoKEVEV2D9Cqo0gtUAdOm/2lurUQQUFANwlvw7uZFyE+FNOczMgk5RSqaoetEF26/k0C1n2CNH7f/1GrS2+w2IvUhIvUhAHLpHLHRBKnJNInxlFn6x8B0RWRjudiDW7ysKEoJETY8uHa7nWAwiCiKxGIxJicnicfj5txvrsTWiOgz5pBGxN+8x3YeME9s5/EiIZFIlBDZdDpdkk8xW6mfYkXkfD7P+Pg4yWTSFBcwaqQZA9/k5CTJZNLcJ51Ok0qlTKXhbDZrig8IgkA+nzdV94zlbDZrLiuKYjn4A+aALssyLreLlrZmmlubCIamLMsnI0wyNjJGb3cfQwNDVNdW09TaRG1dzZxJrsPpoH1hO+0L28llKk9WYKp2XH19PU6nk/HxcbLZLIFAgJUrV7Jz507sdjsNDQ0oikI0GiWXy7F0qbXC6lxg1GY9GdhEG0FnkKAzSFuFMptGbo/NJuF0uXSaJRh0qzS81C7aCTkj5JQsSTk+YxihKIk0tNdR31rLSP8YvUcG8Id9BL2hkpxOI193ep6nx+bFa/ORlBNM5MZp1JpRNa2kRI0xQXQ79Gcio2RQNRW3bWoCp82hssx4JsqjfU+yLLKYNVUrzLITqqaye2y3pYKoU3KyrmZtSV5eMakFaAnXk8yVk7Qjw92c1rGKgcQgY5kRVlStrFhztxiCIGIXHFjdBxml/J415siVRaWmQmkrlRwSRXFqsm3m2ZZuZ/x2WiHE2ap/qqaY3jrDKCEg6t5zNHYM7+M/9/6WfIVyPh6bi39c/TqWhjvKjFqioPexkhiWTm5F8/iapmETbNhEmxk1MBM6J7u4o+suloQXl+VhLgwt4NYD/80bllxP2KJ+qHGuhoFgJkTHJti7fR+ppH7PDA8OlxNboK6htkBsrYmjQWwlm4Qv4sEf9kJApn9afdTnipScNvNjx7LjJPPJk9pfQMDv0Els0CCxjkDJNR5LR9k+tJsj0S7GMtb5vSIirZ5m1tSvZHl4CVXu8hxCg9DOJew4r+Z5ZvgZto88Y5m3f27TOTR5G2aMYPHYfNhFO5O5SXaObueSlsvMZ6z4ORsfjFaMmjH6KQgCqqKWRGJEnFWWhgMxIE3l2RYhN5kn71ZwBcoV5yWPjZr2Kib7rA0lAMiFvyn7lU52JRXNViC9Ng1NeoFKX0lQpAVpzg1UVUOQBURZRM2r5NJZ8nKO7HCWieEYoihid9rwRbwm0XW45h5hUQyH20F1SwQKNtZUTM/PzUxmSE6ky6LirAz4xcuzlfpRFAW73U5dXR3xeJxYTP+9h4eHqa6uNh0XxjGNudb0iD6D6BrEtthZMo//u5gntvN4UZBMJk1RItAHpuIQV6tSP7MRXZvNZqrzFXt0jWVRFM2QF2NZlmVzvUFGDSEDYxkoWZ4edgOloTs2m42G5gaaWxqpqqk6pVDdeCxOb3cffT39pFNTBKKvp5++nn4cDjsNzY00tzYSqZq7YIJzlsLldrud0dFRjhw5Qj6fx+v1snbtWhoadG+pJEkcOnSI3bt3Y7PZCAaDLF68+KTP738DNpsNm88Y4gqUQbPwhxvKu+ihp0F7GFnNk1JSKJpc0YMuiAK1zdXUNlcTHZnE7kzitZXm28qqjMMil7LGXUcyniDoCOv5paLAZDpB0G3N0l2Sm2Q+MW1CMbMxICNneLh/G+c1n0Wjt9707GnArtHdjFmQWpsgsal2Iy7b1CRxOqkFWFhjnR98bKSHze0r2T22F7/TXcjUVAtiRLNPvKeH3Mqqgq3IAzWdelYSNi4jtxUFkI1tKvuXRUFXUbYS5Jpe63XqXtHLY9zf8zh/OPLXivdQtSvMB9a/nVpPuPJ9JhSuooWRRF8vIhSiKk2jmioz2/0BsDC4kKsWXMHB6CFWVa0sWee1e6l1V/OTfT/jDcteS2OhJrJxpRRNmdGrB/qE9+j+Y3QdPlHyfV9PH6vWrSjb3jD+xSdL73VFU8gpWULNAVbUL8btdz2vKRDxXMIsuzOeGSetZGbfqQABgYDDP0VinUECdn+JN9XAaHqcI9EuDk90Mp6ZsGzPodhpcTSxqWU9qxqWVywRZqStzDXsuC/Zx8P9DzOSHrVcv7l2E0tCi8jOcO46qXWQkTM82Pc31lavRRRElGmRLv19A+zdu2/WPgFoNgWXf+oc7aKN4/Fj5WJbOQH7MY/1k9oJzesa8IYt3m82iIuTDB+p7AmfUz9FDc2lIjtkFKfxp4L9f6fWs+JQkJfJCHkRKWPDlrUhZSWS0SSjA2PYBDtOrxNf2EOgxk+gyn/K4feegBtPQHc8aKpGYiJJIpoiG8uSimVMBWQDmqaVENfpwp5WxNaIfguHw+TzedNBMT4+jsPhKJvvuVxTz3yx0wF0R4XL5ZoXE50HME9sXzR0dXWxa9curr322he7K7PCqGFW/KcoStl3c/0zwn5jsRgHDhxAVVXS6TSxWIxDhw6hqqpZ7Pvw4cNmGHAul+Po0aMlRLSrq8skswC9vaVKoyMjpSFNhmXQgGHpM2CEvBgwiK0xyTJCaqZDFEVq62tpaWumtr7mlESt0qk0vd199Hb3Mjkxc6hbOq3QeaSTziOdeLwemloaaWlrJlBBYGWuCAQCnHPOORXXt7W1VQxF9nq9XH/99eZybW1tyXIlzCVk9YVHKa2QRBt+Ub+WBnkpVVCeUk9WNZVwTRBFU8iqmZJ8W0WT0bRy1dqAI0iNq45ad7257uHOZ9jcsorWYGNZ70RBxO8IFNqcIqiVoGgKjw08yarIEpp8DWiaioju2ds5spOxTPkkTwDWVa8j4Jgi11akFqDGH8bv8hDPlD4/x0Z6ORTtxCFJJYq+pld+zgRX75FNtLEk0m56B63OeiZyW3CbFvLzykOShSleWxEiEgpyhbBv619B0RR+f/ivPNj7ZMV22wPNfHD92wk6A8hKnpyWnbFOsKrJCNgsBaNEQSxcI+u6wVbnpKGCILAssoSR6aGfBWyoXc/+8YPcuv/nXLPwSlZFVqKhkVOzlh6/YggIiKKI6BMQRMHM8xcEATmvIMsKNtu0HPSCx0lySEwkowh2yKk5M5xa8gh4OLXwSwOaphHLxcz82PFMlNwsBN2AKIgEHAGCjoBJZP0O34y/20hqjCMTXRyOdhLNTlpu48t5qZEjrK1fxYYl63G5rMls8TnohozZ3zPjmXEGU/3sHH3W8rkHXSRuffXaOZFaRVF4aOABHJKDNn972XaqqnLg2YOmEXk2JGJJip9rQRCIOKvome6Ft4EmSYgZ63M+saOX9tObcHrLDYmBZh+pRIZot/X1Lz72jGWhcoKeYqCJ2Cgo+IoqilNBccnm/6pLz+l9IaDZVWR7Dtlfes+KBcI7mpGwddqxH7ITcPrxhXwEq/34It5T0iIRRAF/xIc/ouevqopKfCxBaiJNNpEnk8iWeXSLhZ6M5WKiqihKScSeoih4PB6qqqqYmJhgYmIC0Odz9fX15HK5GWvYzgtHzaMY88T2FJHJZNi3bx8DAwNm2GwwGGTlypUlEuQvNLq7u82asCf7Z3gzi4mqFYmdaaCfKwRBn+R4vV4cDofprTWIZCgUwul0ml7XUChUYoGz2+04nU7TSxuPx021PWPZ6XSag2csFsPhcJg5svF4HLvdbq5PpVJmzTXQB0ZBEEpyOoy8keL8WYOwJpNJUukU9fX1NLU0Ut9QZ+YJnQxyuRz9vQP0nuhldGSWwvIVkEqmOHLwKEcOHiUQ9NPcqoc+e7wvk7AcQUBEZDIbYzQzSlrO4LV58Dv8BBz+OZWqeGG7JyAhzTh5NcivoilmWKCuzKuX/rFL5fdGvaexhIScu2ATb/nVp/iv13+BsKdCfDW6J9ZUPrYgZQKwe3QPgiDTHmgvnIOIoslsH95BNGsd9rgispIaz9TYpWmU5I6WHkNgUXULO3tL67CeGO9n/9hB6nxBy3zUKRVeYc454+bvP4Ow2kwlaXXyaoQIWzFgvWeYKsilEAVd4MWqr1akP6vk+One37N7hhq166pX8E9r3ojL5irkF+slVTRNF++Z6boYklTW62YmOgYZMtVlNV25uM5dh6KpSNNI8+LgIpaGl5DIJXi8/wni2UnW1+rlpKZvW3ocAUnQr9maRWtZ2raMzqNddB0+Tj6fR9M0kokkwVBAf0Y0mZySJadkWXfRSmwOiQwpZtDGmjNUTWUiO1nIjx0nmpmYNR8Y9N8h4AgQLIg6hZxBfHafpdd8OoZTYxyZ6ORwtIsJCzIrqSLhXIhINkiTrZEVi5fR3NY0q0HUTHeZg3Eoq2TZO74Hv8PH/uiBiqS2zd/GWQ1nkFUrk1q35DWf5+27tjMWGOW8xgsstz3e2U0yOfdSO8URSQYavI3lxBZQQzLioPU1UmWVnh0DtJ/ejM1Rvk3d0iry6TyJkcp9m22uYym0porY0iK29LQx3kbBu5tHcSm6h9eloL1AhFe1q6j2HPghi35NJxhDzIlIgzacPU5CrjAhd4BQOIQn4J6jgbEUoiQSrA0QrNUNrXJOITYaJxPPkkvkyWf0Z6uY6BZ7cB0OB36/H7/fb5JRv9+Pz+czv5ckCbvdTi6Xo7u7G7vdTjgcNud7xnzbOIYkSdTW1p7ilZvH3xvmie0p4vHHH0dVVU477TS8Xi+ZTIbh4eEyj98LjcOHDzM5Oalbxgt/Bomc6bPNZsPhcMy4zWzLc/lsLBt/Rg7ryx2qqhJLT5Ype84FiqIw2D9Eb3cvQwPDZQqDzwXxWIL9ew6wf88BIlURmtuaaGpuxDmLB+ClgKBTn0QqqkJntIu/DT3IockjuCQXgQLJDTgCBBx+/Papzy8H8jsXEhd0+1hZt4Bf7biLq1efT1OwxnI7t81NZV8hJOUk49kxWnzNbHvkCS696FJ6R3o4lj1GNDdhuU9HoJ1W/1R4sUFqZ/L+Laxp5p4H/sb2n99LbHCcxtULOPtfriGXzYMPyxqsxdBQiediOCU3DtE56/XR11tv89CDD3LpRa9gaGygJMVhal90cjsDAa7kutVJnPX9NT23NJZN8P3dv+RErLxkiYFzm0/jNUtegSiKuCQPgiDgsVc2ZLzY+McVbz/pfTRNI6MkTeOO0+5k+fJlLFm6mP6efnr7+5hIjaO4cmSVbInmgBUpORnIqqyX3slEGc/qpXdm8y6LmkjIFTLzYQ0SezLvqqHUKEeinRyZ6GIiWx5x45ZdhDNBItkQITlATXU1HSs6qG+sm7XtkyG0mqZxZPIwJxLHWRlZwY7hXfQnrdWJ69y1XNxywYw5tW7Ji6MQDr1v935OdPdQs6mWBm95Le68nOfI/vJa2DMhZUFsa911CJqAJpSOP2pQhsHK77J8WqZn5wBtmxrLyuQIgkDTmjpOPNVHJj43D/1zgaAIODIO1FTp2KGKKmoR0TU8vS8Y4XWoqI4ceXIkiNMLMAHOURfVjioizgjhQBj3LGlKlWBzSEQaQ+ZyLp0nOOxDTinIaZV8Vvfc22w2nE4nmzZtmtWAs2JFeZpCMYrr2QKcccYZp9T3efx9Yp7YngJyuRyjo6Ocd955ppXI6/VSVTVVnuDQoUMcP36cRCKBw+GgsbGRNWvWzFjzs6+vj3379hGLxXC73bS3t7N8+fIZw0e2bNnyvBKjFxLFKnkvd4iiiMvlmrMIlKZpjAyP0tfdR3/vwJzDtE4WxaFU42PjjI+Ns2fnXmrqamhubaKpuYlZnDovOiRRYnHVIhZXLSKTy3A4epg9E3vpS/bRHe9G1hRktdSV47a5CToCBcI7RYL9jqnl6arFLzam6qRO4XOX/wvpXJ6JdIxkNo3P6bEUFALdE2XlhZRVmXZ/O4tCi1h41kKO9RzlcOYIsbx1eHutu5YloSXm8lxIrYDAotpWdv7mAUIttZz7wVdhc+nXdyKepKWqeobrXVDSREPRFFJyAlnM47X7StafCmYaCw19qJnJrTVEQSy7HmqhUK4xpg2mRvnJnt8RzUzitZVHSwgIXLHwfM5p2mzmzf69jIfTMWWE0L3COTWvKxYrOaQqjdYqnRTllGwhwuHUyrVpaGSVXEl+7GQuNvO9qwg4ck4CNj/VgWrqq2rx2ryn9FsMJUc4PNHFkWgnk7lSgSJBEwjm/CaZdSt6jmBjSyMLlywgFC4vU2N5jmbY8Rw8xelhnh5+krAzxMaaDewa3U1n7LjltiFHkFe2v2LGPGm35DFJ7fHOExw9dIyhmmHOqz7bcvujR4+RzZ4cacxYEFu7aMdPgBil3m7Nq6sXC/nK1yIzmaV/7zDNa+vL1omSSMuGBrqe7EPOzO61t8Js4cpmXwvGzOKoLwBRFRFTIrZU6fioSiqKUy4lvU4Zzf7CqDRnbRn61D760n2Q1t+hEWdEJ7ueyEmV+iqGw22ntk2P/NE0jWwih3vIiShL2CX7KaVpzWMeJ4N5YnsKMJLe+/r6qKqqsnxQBUFg/fr1eL1eEokEO3bsYPfu3WzcuNGyzZGREZ566inWr19PdXU1iUSCZ555BoCVK1da7gPw7m//K4d7O3XPKAKiKOihc4KIUPxZEBANT6ogIgoCgmisw9zO3F8sbCPo5TVK1hU+mzlUxjaFz1PHK22vsbqO91z1lufnR3gJYGRyDFmRp85bLL/WsYkY/b2DDPYOkM1kEUShZDL8fMPqhatpGsODwwwPDnPiWDeXXHLJC3LsFwIuh4s1dWtYU7eGsfQYhycPc3TyKGk5jVIguMZfNBtlJD1aUdHYLbmmPL7TPMCBggfYKmT4+UKx13ZiYoJdO5/FbrezcdMGMwReFARCLh9B11S+0HTiakzaTe/wtJ/c7wgQcoZ18iYJdAvdFcuT+O1+1lavRiwWQpslT1NAAAHaq5pIjkyy6Ly1eCJTHsfhSX0yarcQzZp2IoBuKHS53eUrTorgTpFlXaHTuiSQKX58khAQ0YriYu2CA1VQzUiB0VSUvSNHWV+7ynJ/CYmN9ato8k15506VzL1coKi6uJQR9isg4pRcOKVT8wwZkNU8KTlNSk4TzUZ5dnRXxdBiQRaxZ+zYM3bcipuaYDV1dbVmvuCpYDA5zOFoF0cmuohNI7N2xUYkGyKcDRLKBrFp+jMq2STaFreyYHHHnFNETsZLm5bT7BjZTneym3XVa6n31HMwepi9Y/stt/fY3FzVccWMpaBckgdH4bfKZrLs3rGHpDNFc0sjNe7yaJKMnOHw0OFZw+GnQ1U1MukMrmkl8GrstcTk8jBuNSgjjc48tsSHkgwdHqNuSVXZOpvTRsv6ek481YeqvEClfQpQVXXWckcGREVETDlgWqR0CeE1Pbwymu357XtaTtMn99GX7IMo+O0+Iq4qqtxVhJ1hbBZiaLNBEARcfieNfn3cc/DSjxybx8sf88T2FCCKIqeddhrbt2+ns7OTUChETU0Nra2tZhjckiVTHhCv18uqVat45plnKhLbffv2sWzZMtrb2wHw+XysWrWKZ599dkZie6DnKDuP7n3ezu2FxPpFq/6uiO3VN77jlK+9MVkxSLBQqLVpKFya309bN2VsKBgWBKGQo2rVXvH++vcrO5a+5IjtT/7yawbGh0uNA9ONJNOMNBP5HKPpUcaz4yBMRQMI4pSCrJxTyYk5MyReQytsC5jXp2hfQS9147V78Dl8+Bzewp8Pn92H3+HDZ/fitDmmDESiUVdVsDT+FBs6Qr4ALqeLr3/lG3z58181hcuqa6r51ne+ztXXXT3rtbrkwstYuWolkiTyi5//EofDzs2fvpnXvv56PvT+D/M/f7yN2rpavvGtr3HJZZdw7/33ct0rXsWTXdtweJ10He/iq5/4Gnue2kM+n6ejvYMvfeWLvOLyywDYu3cfN378kzz2yGNomsaatav50U9+yIKFCyhcNQRB4Pjx4yxbpIeLPfXTu3nqp3dz2tsuY8HWVTy77Vn+eOMtdB3oIhyJ8KY3v5GbP3OTmWN1yYWXsnLVCkRR5Fe/+jXLVy7jL/fcyWc//Tl+dut/MTw0TFVVhGuuu4YPfvZjtAUa+cV//5Lvfed7HD50GK/Xy7nnn8vXvvHVorwqI3N3ypu97dFt3PTJm3hm+w6qq6u46pqr+NwXPjuzyMiUkPIMKJBoTUVF48RkH9sGdqBUCHd1Sk7Oat5ItSdcEhIr/n06a01klQx57bmHfObkPEk5SUJOkswlyRUUeO2CDUm0IYkSsiLjltxUu2uocddQ467GT4CnHn6acF2IyKIQvvCpi8sMJIdMMhvPJUrW+XKeApkN4cuXqva63C4WLOqgbWHrjNFaxVA11fRiz0ZoVU3lQPQAe8afxW1zc3bDVrx2LydiPTw99IzlPnbRztUdV80YteCSPCUGiM4jXaiaynD1MG9ueoPlPnvH95D1pnFx8kaDVDJdRmwb/U0ci5aHNSuh2YktwPjxCRweO+HmckFFl99J09p6enYOnGyluZOGUQrnVLVKigmvEb2nqoVyRB6d9JpKza7nj/DG8wni+QQn4icQEAg5Q1S5IkRcVQSdgTnlmpefzPPStXnMY0bME9tTRHNzMw0NDYyMjDA2Nsbg4CCHDh1i06ZNdHR0MDQ0xIEDB4jH46ZYhqIoyLJsKUk+OTnJ2NgYBw4cML+bbZ95vHxh5J6hPS/6KHOG/zmqJr8Q+M+7fveyMc48F6zqWMrbV1/OzTd+uuT70ZFR3vLGt3PHPX9i69lnzdrOL37+Cz780Q/xyOMP8fvf/YH3v+8D/On2P3HV1Vfx//71Y3zn37/LP771nRzuPIjXrnuHWn260e0Tb/0EHtw88OD9eLweDh44hNfrQVVV+vr6ufj8Szj73K385Z47CQT8bHv8CVMZ3CC1GhrNLc109R5jxdJVLLtyC62nLcPudpCKxrn7q7/mktdczPd/8n2Gjw/zvn96H06Xk0/edKN5Dv/9X7/gHe/6R/503/8AcMdtd/Cdf/8uP//Fz1i+cgVDg4M8vv1J/nbiCd6y6mryuSw3/dunWLJ0KSPDw9zw0Rt459vfxe133FZybYwIk85jnVz1yqv5t8/czA9v+SGjoyN88P0f5oP/8iFu+c8fzXh9pxSYp7WrlX6vaBp7Rw/y9NCeim0FHQEu6zgHv8M7a57n3xu0wr+TRVrOkMwnSOSTJPIJy/q/giJgk204cRLsDbOsbSnLFy/HKHWUllOklRRrz69sFJ4N/YkhDk90cjTaRbyojq2kioSyQcJZPcTYoZYT1kAwwMKlC2hqaZyzEq2maWiouuruHCJ6BpL9PDXyFLHcJC2+ZlZFViGJEkOpYR4deNxyHxGRqzuuxCFVnk+4JHcJqRUQGBkeZdI7ybKmJUQsahon8nGOTR5F9alogoagnZzVRheQKm035Ash9Ipo3tLnRvMraJKGoMx+jMEDI9hdNnzV5V5yX7WH+uU1DO63VgSvhJMlqEakznMht1bHFxURKWWHlNOs1iDZJDRJJe/Ik3fkUV0yqktFdubRpFM/toZGNBvVhQcnjyEJEhFXhCpXhCpXFT7HqUdAzGMezzfm2dJzgCRJ1NfXU19fz8qVK3n66afZt28ftbW1PPLIIyxcuJDVq1fjcDgYGRlh+/btFXPAZFlm5cqVNDU1WR5nHrB37176+/tn9Dg+9dRT5HI5tm7d+r/Ys3nMY3bs7TzI52/bbblOURS+/uVvzInYrl6zmn/9xA0AfOyGj/K1r3ydqqoq3v6OtwHw8U/+Kz/64S3s2V1uLOjp7uGa665h1Wo9ZHbBggXmuh9+/4cEggF+/ov/Mr1Li5foNYoF00tZCIMWJerr6pFECafHhTuoe8P23/EEnkiAaz7wWlYsX86Wtacz0D/Apz5xE5/45MfNSf6ixYv4/Jc/R6wgZvXYvduoq6/jgosuwG6309ragn9hNTtHdEPfP7ztH8x+dHS08/VvfZ2ztmwlkUjg85VPqr765a/yuje8jn/5wL+gobFo8SK+/s2vcfEFl/Cd//h2SemIuWPKnatoCk8NPsu+scMVt651V3FZ+3l47IV6kGioKKiackpOosnJSfbv38/mzZsrGjp7enqIRqOsWbPmFI7wvw9N00jLaRImkU2WpRK4JBd+u54+4Lf78Tl87H/mIKIo6sr3CRfkdXKVVlKz1tadCX2JwYIA1HESRWTWJTuJZHQV40DOj1jB9VRTV8OipQuoqbMWfrOCqunlw0TBVlGkrBhpOc2Tw0/Qk+hGFETWVK2h1d8CwER2kgd7H65oRHll+yvw2iuXS3JKbpxF5coE9BJ345PjjDWP86rGayz32z22WxdSk0D1ykiJk0vpsFJGttls2ONOct5p6wRQAzJSdA7H0KBv9xBtmxtLauUaCDcHyKXyjB+fOKn+niwMcvtciK1h7DCJbWEsNUPWjegsRcKeFJDiesqcIAiomkqePJpHRXMZxDeH6lJOifAqmsJIesQsE+aUnCVE11Ttn8c8XgTME9vnEYFAgL6+PqJRvZzGunXrzMGop6dnxn1DoRDxeBy//6WrjvlC4pFHHkHTNMsaqiMjIzzwwANccsklLF68+EXo3Tzm8dwQ9Pq58fr38P/e+IGK2zz77G52Du+lPdCKqEl47G7c9vLJ2OrVU3mckiQRqYqwcvWUZ6quTs9nGhkZIRAoHU/e+7738v73fYD77r2fCy48n2uuvZrVa1YDsPvZ3Zx11pklIZOz1RiWRIm3nnkVV736GsaTMd77m+3Un76Z1kCbObk548wzSCQS9PX20dLaCsD6DevNNkRB4lWveRXf/c73WLZ4BZdcejGXveJSguvq8RQ8Rzue2cnnP/sF9uzew0R0wjQQ9nT3sHzF8rJ+7dm9mz279/LrX/7a/M4oZdbVeZzlK5ZVPqkK4ci6JxeycpadIwc5NnG8YhPtgWbOadqMTRRLcqs1NF0ESKtQeqgI+/btw+v1mukpc0FDQwP19eWiOS8GrEiaikpGzpCS06QLf8XK0hFXBK/Nh8fmwWf34ba5sU1TGtfQcHvcKKpMoMrHsppFuAJOYvmJk+6jpmk6mZ3Qw4yTeT09QBRE2gMtNEn1ZA5lcCuVJ+qiKNLU0sjCpQtOqo64osrImoxDdCAK5bWurfp6ePIQz4xsR9EUPDY3G2s2EnTqIlTJfJL7ex4kp1oLE17UfAERV6hi+07RVVKD24jQiI5PMOIfYWPTerz28nDuaGacE/HjU+flPwVim7QuNeST/YxTTnrV4ByJLYUyQDsH6Ti9CZuz/J6sW6KXAYoPJS32LsepkNRKQlIng7IyQ4Vlo73p5XWKt9FUDVEVsaedCBkBWZZRVRWH04Fm05CdedJCCtWtorlV8vbcSRHerJJlIDnAQHIAAK/NU8jPjRBxRV5w4cbnw6HR1dXFrl27uPbaa5/Hns3jxcA8sT0FZLNZtm3bRkdHB8FgEJvNRjQa5dChQzQ1NeHz+VBVlSNHjtDY2Mjo6CjHjh2bsc2VK1fyyCOP4PF4aG5u1vMIJyaYnJxk9erVFfdb3b4Mu2TTcy40rWD9Lfyv6v9brVNVXa3S+Dy1rnQfrfBZF2UprJu2z/OBBQsW8Pjjj5NKpfB4SsOGurq6CIfDlmU85nFyGJ0cJ53N4Ha+NCyq6WyG0Unr+op/Lzhv3Rb+40Ofo9of4uPSh82wsemQXSq/O/pnzm48g1g2wTNHjuEQ7QTdPr32oMtHNB1DsttKQjwFQcBus5csg7VC8Nv+8a1cdMlF/PUvf+W+++7nq1/+Gl/6yhd57/veM03Aae4QEQh7AoQ9AUKeAMFAgPMWnjbVn6Jtjc8ejxsQsIsOREGkubmJ3ft28cD9D3D//X/jA+/7IP76MF/+5TdJJpNc/cqruejii/jpf/2Emuoaenr6uPLyK8nlDO9c6TiUSCR5x7v+kX9+3z+X9beltaVEQMpaZKp84ioIAtH0JLfs+TVLI4sqXo9V1UvYVLfaDGmWtTw2bCUEzvCuPN94KaWshF3lwj3PBzRNo21xMzlySKKEkFPLyi7Ntn9vYoAj0S6OTh43yaxbcrOmegWLQx10BFtxSk6iIxPsVvZZtmO322lb2MqCRR1l+aEzIa/myCk53JIbp+iaU9hxWk7zt777dE0B9DI962rWmYQhq+S4v+chUrJ1jdat9WfS5Csvz2PAKbrKPLVGv3qH+0hWpTi9/jTLfXeN7SpZlgN5HAMnN5ZYeWwBfHY/0cwImqu87M/JhDzLGZmenYO0bS4vAwTQuKqWE5l+MpMvXLnGkxGSmqkNsBafrOTRtdrP6IsoiHouVBxceQ9OpxNJklA1lVQ+CT4QPJB35MjZssgOeU6ENymnSCZS9CR6EBAIOAJUuSI0+1tpOfVUd5LJJHfeeScXX3wx4XB5SPxzQUtLCw0NlZ+RYsyT4Jc2XjpvwZcRbDYbkUiEw4cPk0gkUFUVj8dDR0cHy5cvx2azsXbtWg4ePMiePXuoqalh9erVPPXUUxXbrK+v5+yzz2bfvn0cPKiHWfn9fjo6Ombsy3ff+9nnjVyeKgxPiE56pz5PJ8rFk+/paGhowOl0cvz48ZIaZvl8nt7eXtasWVMWiqyqKrt376arqwtBEOjo6Ci7FpqmcfDgQTo7O8lkMvh8PlasWEFLS4u5zfDwMLt372ZiYgKHw0F7ezurVq2aNTfqlavPZWVVh279ZMqKKysKBeljPU9aVQvlU5gyOmhGSKP+2bhWFHJv1cL/xvd6/lXp/2XfT9vPWMbYtrDu4o+8jrAvOJUDV1inaoWXorFf4Tum9QVAEKGgaKWvKzJ0aIXfRjX3qWwAGZ0cp2ekf8br/HKF2+niM2/7EO++6o3md5df8Qr+fPsdltufe8W55mdJFKkPRegfHyMTH2cork9ox5ITjCUnCjRu5uc+p+RI5csnui0tzbzz3e/gne9+B5+68SZ++pOf8t73vYfVq1fx3z//Bfl8fs5CN9OxbNlSbvuf20u8lNsefwK/309zc3PJtiICXttUGLHb7ebyKy7n8isu593/9C7WrlqPOpDhUOwwY2PjfPYLn6G5pRkBgR07dlke37jP1q1fx4H9B1m4aOGsfZ5r+Z+e+ADf3PFjckrektgKCGxpWMeySOkxVU1F1uSCsNnsuPXWW3n/+9/P3XffTSwW47Of/SyPPPIIjz76KKBP7rq7u0mlUni9XhYsWMDw8DAdHR3cddddZmk5gKNHjyLLMn6/n8HBQVRVpaqqivb2dnN8y+VydHZ2Mjk5icPhoLm5mZ6eHhoaGmhoaNCJYG8vIyMj5PN58/0327vphYIgCNhsDnLy3EOOVU2ltxBmfHTiOClZJ1K+nIeWbCORbJBzzjiTQLg0wsGKQHi8HhYs7qC1o2XOhgRN08ipWTJyGrfNUygvNHvuraqp9Cd7eaj/IVRUBASWhpawKDR1/ymqwoO9DzOZK1cQBthYs56Focq/laNAaisR7Gfiz3BmxxacFirnQ7EhBlMDpefqVlHtKuIMJXmmI5W0JrZerwdx0obimuaFlkDzKQjxuU9hM7EsfbuHaF5XX3auoiTSsr6B40/2kk+fWhmgueC5CkkZMJ5dM7e2KF1tugfXOJZxrxrrrfYxvtNUDVGW8OQ8iLIedZLJZLA77EhukZwtR0JLgEdFcSnkbFk00fqcNDQmc5NM5iaJ5RKsCq99Tuf+QsGodjKPlz/mf8VTgCRJs+YwLV26lKVLl5Z8VxxS1tHRUTYxMPJ1Twbbtm0jHo8jSZJugRPFWT9X+m6m7UWxskKjIAj6drPI/M9EFEVRpK2tjePHj7N8+fIpa3FvL5qm0drayuHDpflshw8f5vjx42zevJlAIMChQ4fo6+srUkqFAwcOcOLECTZu3IjP52NkZIQnn3wSp9NJbW0tqVSKRx55hPb2dk477TTi8Tjbt29HFEVWrbIu3WHg3CWbWVu7mHw+b14DwBTbMZatrKXGsiAIz7kO8XRL7f8mbDaJ+sYGmtuaqK2rqfgbl5DtIo+/rMrk8jk0oYisq6VRAToxxrTOK4paFDlQFIVQbFRRyyMUjO0VVWEwNURvvJfueA/xXEo3PGjF/Zwi+ZqmEbFFWF27EofoKIleQBWQBMkk80YN2OpQmPPXn0HIVxqa+LV//wp79uzleOfxku/XnbGOr336S3x3362AXo7jlUvO5ZYn/lh2LYfiY4VjaqhGPqJRNrT4t5FsdMa6AHiw9wmuCV3Gxz7y/7jk0ktYvHgR0WiUhx58mKXLl6Kh8U/vfTff/94PePMb38LH/t9HCQYDPPXkU2zavIklS5dw+21/4qZP3syze3dWvB/e9U/v4rvf/h4f+sBHeM97383hw0f43Gc+z/s/+C8zPv8//9nPURSVzadtwuPx8Ktf/hq3282WlRv1kDmHg+9/7we8813vYN++/Xzx818s3Fe60Wgq9zWPpql85KMf5tyt5/HB93+Qt739bXi9Xg4cOMD9993Pt779rbLjW5Hb4gnovrHDfHfXz8goWcsatTbRxun1q+kINpetAz0EV9RKx9CcmsONtfvCMGx6PB6++tWvks1mzZJQ//AP/4Asy/zud7+jq6uLzs5Oli9fzsDAAOl0mni8tARNPB7H4XCwfPlystkshw/rytJGyLpBflesWIEgCJw4caKkzvb4+DiDg4MsWrQIt9tNPp83Fb1fLEhzJIW98QEOT3RybOIEKTmNqIqEc0EaM3VEskEc6szqusW/VygSYtGSBTQ0N8y5XJumqWSUDBklhVN0EXCE5lS+R9M0srkseyaf5eDEQQAcooMNNeupdleXnOOjA9sYTlsLIK0ML2dV1QrLdXqbTlzTSG1x//oTA6Q9aTbUrLPcf9/B/dM1nwBQ/HnE8bmXdsmk0yXGMANujxuxz4ZSVx5erYRkxJMgtgCJkRRDh8aoX1Zdts7mkHRy+1QfqjzzO/lUyelzEZKaafvi61accwtT5NdYNuYnxeOxoiglpE6WZbOaQHEbdpsdURFR0xqenBd/3o8Y1ysOjCfHwaNhD9rI2rKkhRR5R+6klZAHBgY4cOAAk5OTCIJAVVUV69evx+fzceeddwJw7733AlBTU8P5559v7nvw4EEOHz6Mqqq0tLSwfv36knPYs2cPPT095HI5gsEga9asMeeL072wExMT7Ny500wt9Pv9bNy4EVmWefrppwH47W9/C8CKFStmnS/O438P88T2ZY7ly5eTTqdRFMVUUDY+Fy9ns1nL70+GVM1EjudCkj0ej6XQi4GOjg4OHTrEyMhIyWDT3NyMw1E+ATl8+DDLli0zPUEbN25kcHDQXK8oCgcOHODcc8+lulp/kfl8PkZHR+ns7KS2tpZjx47h8XjYsGEDgiAQCARIp9Ps3r2blStXzmkCAuXkshLZtFp+Lnk3ldr934IsK/R299Lb3YvD6aCpuZHm1iaqakrDEI2XOVBmANFcOkGbUzihJmATbRbX99TOP6NkODpxlB0jOzkR751x2yhDXNh2HsvCS3CIDuyiA0ksHUJND3WFc2lobOCRJx/kB9//EXf97a9kSLP0rKV87D0fJej1c1nbeaTyWU5v2EDIFaDKG2QsWeqJGUtNEs8mCbi8ZBTrfDrQee7SsG5cO7d5C6IooigKH3z/h+jr7SMQ8HPxJRfz5a9/CYBIVYS/3HMnN/7rjVxy4aW6AW/tGs448wwAYpOTHD5UWSwJoKmpkdv+/Ec+fsONnLbxp0QiYd7ytn8wxa4qIRgK8bWvfJ0bPvavKIrCylUr+cNtv6OqSr+PfvSTH3Lzp/6N//ju91m3fh1f/PIXePW1rylrx8jrXLVmJXfffzefvunfuPC8i9A0jQULOnj19a8ue0ZnwujoKDsn9vObrjsqlvPx2Fyc07wZRJnx7Dg1rlpEodzIp2oqIiKqphLLTyIgEHRUDqczcvIikQigi0eBXj7OSNlobGzk4MGDCIJAfX29pZaDJEmmh9bj8RAOh5mcnKSuro5UKmWmuxhj84IFC9i1a5e5fzabxW63EwwGEUURl8v1omtBVCo1omoqPfF+Dkc7OTZ5grSc0YWfsiE6Mi2E8gFEROvx0uI7QRCob6xj4dKFVFVH5tw/VVNIy2myShqbaMNvC5WMWzMhnUkjqzJPjm9joOANDTvDbKzZUCLKo2ka24d20B231u9YGFzIproNFY+jk1pPkcFVQZo2tt51/G7OaTobyaKGaV9PP7H+RAViK2M/CWKr17LN4vaUhnS7vW6EpAR5AewW4cg9lXPVK5HHaPckDreNSFuobJ3T56B5XT3dz/S/YGWAjHd+pZQUKxSfi5VoVHHbUOqNtSLTxRE5Rj8MYmtU4zAMacY2Ztk8TTMrdZikUVYQsgJBVwhnSt9vdHQUp8uJr8pLRsowkZvAEZj9nlAUhSVLlhAMBpFlmX379vHYY49xySWXcNFFF3Hfffdx7rnnEggESsj5yMgIbreb8847j0QiwbZt2wiFQixcqEfQ7Nixg1gsxpYtW3C73fT29vLwww9z6aWXWo5nTzzxBOFwmI0bN5qpgaIoUlVVxbp169i3bx+XXXZZybWbx0sD87/GyxzFIbWnAlXVvViVCPH05Zm2k2WZfD5vuZ2iKIRCoRnD1wKBAFVVVXR1dVFbW0s8Hmd0dNTSEpbL5chkMubEFzAngcbgnUgkUBSFhx9+uOycjXzdWCxGVVVVycuhuroaWZbNUL+ZMBuRnQ2Gh/D5ILcvNnLZHF3HjtN17Dhuj5vm1iaaW5sIhoIz7icIApJgQ9RUFE2ZuUSIoJHNZxCRsNuLBVeEUyK5LsnFqqpVrKpaxVhmjJ0jz7JnbG+JIqqBak8VkmDDJXlwWITlaZqGos0exhYTY9RdXcerL3+V+Z3fHUBAYFPdGnKKSqggCLO5ZRV/PfiYud1Vn9GVj7f37uf01hU8MfQkOw5uLxN1SeeTpqEgmY8jFYjWN//9m4WweOtrtGrNSv78lz+VTcA1NN781jfz5re8GQ3oOtqFKEpsP/4UoiCys/cQYbefKm+Qs885m0e3PWzZPsA99/+17Lurrr6Sq66+suI+r33d9bz2ddeXnaOBc849p2RZQGDz5o3ccdefLVorBHKXGZlAEEQ0TeXXv/wtn7n5s5w4fgIEqFvfzIb3bMXfWHovh5wBLmo9ExUZcCIKIpdffAWrVupj1m9++Rtsdjtvf9fbuPHmT6ChMRGd4IaPfJy77/wr2WyOc889l29/+9sVhfH+7d/+jdtuu42HHnqIH//4x/zqV7/Sz7HwG333u98lEomwbNkyMxQZdPGp973vfTz99NMIgsC6deu49dZbcTgcPPjgg7zpTW9i3759iKLImjVr+OUvf0lbWxtut7tkolZVVcXdd9/Na1/7WjOi5qabbuJVr3oVO3fuNNv94Ac/yMTEhLnfbbfdxrXXXmteZ+M8PvKRj/CpT32KaDTKK17xCm655RZzYvn73/+eT3/60xw9ehSPx8P69eu5/fbby8bhYq+ioqmciPVwZKKLoxPHyal5OgJtXNhyHu3OZnY+sKuE/AiiNeGx+i4QCtByVqvl72IFWc2TltPk1AwiIm7Ji9vmnlPYsaIoDA4M4qlx89DQg8Tzuue9I9DB8vCyMjK/b/wAhybK67wCtPia2dqwpeKx7KKjhNRqaCXGR4CD0UMoyJYeX1VVObj3EGJeREiLaO7Sd5fil/U2TyKPPJ1KlxNbj1uv1z5pQ62eZsRzaGgeFSFVSroNAjfTu3jo0Bh2jx1/Tfn73Rtx07CyloG9wxX3fy6G5Of6zp8e+VVMYg2SWlzvtngbq9BlRVFMIxpMeXSLQ5dVVTWJrrHsLtJkyGb13GRjm1wup6fouT04VCc22U5yKEW1NBVNVwnTU1Y2b97M7bffTiwWM9t3OBwlxwedrBse2kAgQENDA8PDwyxcuJBkMsnx48e54oorzP2WLVvG4OAgXV1dlhGYqVSKZcuWEQjoUVfF5NcwDEzvwzxeGpgntv/HYVjhXmiLk2EFnA0dHR3s3LmTDRs2cPz4cXw+HzU1cy+dUAxjgN66dWvZAPR8lFCa/vIsXp5rqJoBVVWf04vuxc6zno50Ks2Rg0c5cvAo/oDfJLleX2VDgSCISAioqFMhthaQbPpvF52M4nK4TLGxKeOCseXJXZMqVxUXtVzABc3ncWyyk2dH93Ai3s2KyHLW16yjwWudJqDnFatzqlM6nBrh9q5ysuWR3KbYkN/uRUNFQGRzy8oSYmtg2/Fd5O0TqKik5LSlWmkxFE1BRMKoLmp5HmiIlKcclGwvwHD/MJPRGFULw5xIHAfgtqefYLQQAmsXbYQ9floi9bz3vOtLScULIJj0vELT+NUvf8M73vLOou9gaEcvf/vY7VzynVfhrdXvtzpPNVubNpYZOURB4lf//Wve9NY3cv+j97Fzxy4++N4P0dLSzFv+8S285x3/TOfRY/z6j7+mPtLADTfcwOWXX87+/ftnzW1+wxveQDweJx6P89Of/pRkMklfX1/Zdn19fZxzzjls2rSJW2+9lTVr1vDYY48hyzKapvH+97+fd7/73Xz/+9/nyJEjZDKZimNWNpvlox/9KBdddBHf+c53OHjwIB/5yEdO8sLqOHbsGLfddht33HEH0WiU66+/ni996Ut8/vOfZ2BggNe//vV85Stf4dprryUej5tq+dMhIJBTZMbSUR7tfwJZk+kItHFWw5m0BVpwSlOeodCFIXq7exkbGy9IH1gbIZ02F3bBjopqlhyyEhqyQk7JklFS5AuKxBI2gs4QgsXzNB2aptHf16971iIad/f8lbyaxybYWFu9hgZvuaDNsckudo48a9lenaeO85vKqwsYsIsO3JK3hNRm8xnc9qkQe1mVub/3b1zaerFlGyc6e0gm9HB0W9xO3j1NdMmmoXoUpNTc5xVWtWx1kTmsiS2611acRmzn+i7s2z1E++YmXBZexFCjn3wqz2hndI69PzkY7/u5vruLt5k+jzLmOdO/m57mZBBSSZJML66hjzLdg2uIXBUfz5gj5vN5MwrPQDabLZljpdNpJEkyiWgmkzG1aGZDPB5n7969jI+Pm4QZdKJpkEwrGBElBtxutxnlMjk5qUcg3HVXyT7TPdPFWLJkCU8//TTHjx+nrq6OlpaWGSMO5/HSwTyxncf/CootgjOhpaWFXbt20d3dzfHjx1m4cKHlxMDhcOByuRgbGzOJr6qqRKNR0xtrhKqkUqmSvNtiBAIBM4/XOM7o6Cg2m23WQfhQuptcPkO1LWiG104/RyuJ/pJ8Jgslw0ovupcaeZ0r4rE4B/Ye5MDeg4SrwrS0NtHY0oTLVf5CEQQBCQkREUWTZ/Te+gM+8nmZzmOdRMIRQpGQ2UahtVPy4oqCyOLQIhaHFhXdF4JlDpjupVXm0L6eizuYGrRcq3t1Cv0VQFYVbKJAxBNkcU0rR0a6S7Yfio8TTVUT9HjIKnNT8jSMBZXIpRWpnQ5ZVhjoG6BtYSs92lSfakMhk9jmVZnhRJThRJTx5CRV3lBRC9Pzy6yvm6zK2MT//deToip86XNftlyXnUhz8PfPsvW9F9HibWBN7dKKIbFNzY188WtfQBAEFi9dzP69+/mPb3+freds5a477uLuB+/izDPPxGcP8Itf/IKWlhZuu+02XvOaqfBqq0mvx+PB5XKRy+Wor68nkUgwPFzuWfre975HMBjkW9/6FoIgsGTJEpYsWQLArl27iMfjXHHFFSxfvpxcLlcSipxOp0smy7/85S8RBIGf/exnuFwutm7dysDAAF/60pdO7uKij9G33nqr6f1485vfzP33328SW1mWue6662hrawOoWBHAYXPR7Guh2dfC2pqZ9S4aat001DbOuY+apjGc6S+rp2u1XVbNkJFT5rayKhNxVmMXHXMitIlEgt079rBy7Qr6tF529u0oGLf8bKzdgM9ePpHuS/SzbeBJyzarXBEubbmw4rGtSC1AbCKOp3bKOPb00HaCjgALguURVrIsc3j/lKdYitnI15aPQUogf3LE1kJASrJJOJwOsjFNV++dZo9WQzIMzD3kuRiaotGzc4D205uxu8r7WbMoQi6VJzaYsNz/uRqUi8nlXNuca2TYdKN78fNsRNAVI5/Pm0Yv0A3/mUzGbEsURTPvXpZlHA6Hua3xvVEbXNM0stksfr/f7G8qlcLpdM7JgfLoo4/i8XjYtGkTbrcbTdO4++67ZzX6W93zRh8Non/RRReVbVepT6tWraKtrY3+/n4GBwfZt28fW7ZsKfMoz+Olh3liO4//NWQymVnJot1up6WlhT179pDP52cMXV68eDEHDx7E7/fj9/s5fPhwUfkPva2lS5ea+WLV1dXk83lGR0ex2+20t7ezcOFCDh8+zM6dO1m0aBHxeJx9+/axZMmSWScm98d3sn/kKAA+0U21LUiVFKDKFqDWEabGFiQoehEFseSFZEWQrMhupWUrGFbY2fB8bXOqiI5FiY5F2bf7AJHqCC2tTTQ0N5R5qnSCa0Mr8p5YwW630dLRzPjIONuffIaW1mbqGupK2il8OiWSO7W/Eb46tW4uXlpN05DVPJJoQxIkU411Otw2d+EYxRZ2Peft9NZVZcQWoHdsvDKxFah4mlYhgrpnyXrbYmTTWZYsX0LeniMxPiVSVBsKst8iv/PYSO80Yls43iz39LMjh3igezvv3/gG7BYE94Xy/I6NjDE6Mlpx/ej+QS5rP5cNdStN5XArbDp9U8k5bj59M9/91vc4eOAQNpuNTadtMtdVVVWxdOlSDhw4UNKGy+UikUiUTDjnil27dnH22Wdjt9vLPDqhUIhrrrmGSy+9lIsvvphVq1aRTqfZvHkzgiDQ3d1dYqDbuXMny5YtQ1VVMpkMo6OjrFy5cvoh54T29vaSkD4jXBBg7dq1XHjhhaxevZpLL72USy65hFe/+tXPe1mP2SAIgm5YQ7HMu1U1layi1+A1cunTchqfLUCVu2ZOYceyLPPsM8+Sy8ls2LKOHdEddMb0koBN3ibWVK22zGsdS4/xcN9jlga/kCPI5W2XVny2bIK9hNSafVFk3I4pb1syn+SRgcd4w5LXWrZz7HBXiSdNTNosSacSkMHajmeJVIWSP26Pm1w2hxi36US2CJpbRXOoCLmTVCgqQM4q9OwYoO20JiRbeRsNq2rJZ2XS0dI6u1bv8JOF0YYRqTWTOKex7XSByuL3pkEwDT0Sg8AaKTu5XA5BELDb7WWk1CB3iqKYcxRDmFGSJPL5vCmSKQgC6XSadLr09zJyUI22c7kc4+O6mn82m8Xj8ZBIWBsJDGSzWeLxOJs2bTIdFiMjU8Jo0/OL54pwOGwS7pOJAPT7/aYQ7LZt2zh+/DjNzc0zOiDm8eJjntjO438NVjVqrdDR0UFXVxcNDQ0z5jAsXbqUTCZjllHq6OigqampRNFz1apVOJ1ODhw4QDKZxG63Ew6HWb58OaB7QM4++2x2797NPffcg8PhoKOjo6Tk0FyQUNMkcmmOT3uTS4hEbAGqbUGqbUEiop9qW4AaRxiP6KxYl24ueULGdnO1HE/3FlutnyvmYjGeCaqqMjI0wsjQCOKO3dQ31NHc2kxdQ6358hYEAQEJYQ7e20hNhHBVmJ7jvey/5wALlyykubWpZIL+XEOVjX00TZuT0JWiKuTULBoqeSVHTs2QzJe/2CVBwi7akbV8SZdUVARNYU3DUtz2+0nnSwnsQDTK8qbGOXtsp52FSQ7nSmoB/H4fCAL7xvaWfF8bDFke59hID6e1T+XIz+Ue0zSN8fQkAliSWo0p8aDS+6wgbfwcJhyibeYUhYZALVcsuBAAVX3hyoKATvqOHTvG4OAg6XS6hEzMhtlyvz73uc9x00038de//pU//elPfPvb3+bb3/4269evp7W1lVQqZT47oiiSy+XYt28fmqaZpe2KYTXRKx6HDVgZsIrzAO+9914ef/xx7rnnHr7zne9w44038uSTT75opYWKoagKGSVFRslgPKiJfAJVhfZAx5zVjk90neDZZ/awZPkilm1o4aGBBxnJjCAisiKygvZAm+W+8Vycv/U+hGyRxx9w+Lmi/RUVIwhsgh2PzVcqNFQ4h+6eHha1T5WoeqjvERYE2i1TL7LZHMcOdZZ8J2gCUsKGEiztl+pR0Gwqgjw30lmplq3b4yI2EUOaLCe2oKsj24ZnVreeCdlEjr5nB2lZ31BWkksUBZrX1nPiqT5yqcpCfacKIzR4JkwXhLLKrZ0uLAWl+bTGZ4fDUdJOPp/H5XKZxNaYIxnztEwmg6IoJjFMJBLY7XZcLpeZXhaPx3E6nTgcDlRVJZ1Omyluhn6L0VYsFpvxXB0OBw6Hg87OTlwuF6lUij179pjrjTq7g4ODeDweRFG0FBadDr///7N33nGSXOXVfip07p6c4+5sznmlRRklhEUQQWSDSAaMDcYmCAwYGxtsAwZk44CJJvgDm6iAEJJWWVqtpE3aHCbn0DlW+P6oqZqu7uqemU0I3Mfmp62qW3G6bt1z3/c9J0RXVxd79uxh06ZN1NTUkMlkGB8fp7q62tIlMKEoCgcOHKCjo4NAIEAqlWJmZob29nbAEPBTFIWxsTFqamqQJKkiIPUCQuUvUcFFQ+EMXyk0NDRw6623Fq1fv369TUhKFEW2bNnCli1bSh6rMA3PCU1NTVx33XULurbFQkVjQgkzoYSLtgVE72yEt3qW+FZRL1VRK4WQxcUZuV+sSOxCiMnZEOixkXHGRsaRXTKtbS20d7bR0NRgHcuI3pYXZxJEga6eTjqXdDAyMMqTjzxFU0sT3T1dtgH12UZxjVra0jWq+e36ooM0BeyRJk3XiDsQWzMN2bQzyoeqq7glN+taetg7YI/o5RSVsUiElkApwqNT5AFk25pfUzv//YuIIAgkcgmmM1O2bSGfD5/bTSpr9xY9NVFeaboUUkoGn+ycYph/R/bfkmAQdEGYFYIy1tqj7HrxyjzU19extGcpzz37nOP217z8VcDssyiDZ/Y8g6Yrs77PAnv37GXZ8h5Wr1mJoijs3bOXXbsMtempqSmOHTtWNJnm8/lYv349HR0d+P1+mpqaaGpq4lvf+pZlQREMBtm1axe9vb2AYRm3ceNGNm7cyHe+8x26u7uLyGS+7dyWLVu4/fbb2bVrF/v37+cd73gHmUzGGvCCEUn9n//5HzZu3GjVo33jG9+wHbOxsZFYLEYikbCEnsxMmSeeeIKVK1cyPj5OMplk//79LF261KqX03XDazwWi6FpGsFgkA9+8IN86lOforu7m5/+9Kd86EMfKvu8LyQMQagkWW3uPYvn4kymptlQvxH3AtOOI5EITz36NEpOYceLtuGpd/OrgXtIKkl8so9tjVup8dQ47p9S0tw/sJu0wyRWyBXk5iU3OUZ4oTypBYhORBGWGtvGUxPsm9zPu9a93fFYxw+fcKzplGKuImILhoiUPLMw0plKpB3X+wNGOqoQlqGLoi5Nq1bgHIgtQGIqxejRSVrXFkfzZLdE51bD41bNzU1oni9tCzPVdyET2VDsU5u/zvKhnT1OfiQ2fzsUi0SZ0VqTKJrqxx6PB0EQrMyRfHE5c0xXU1ODLMsoikIikaC+vp5QKGTUjw8P4/f75w1UgPFMd+3axXPPPce9995LKBRiy5Yt7N6927rnLVu2cPjwYZ5//nkaGhpsdj/lsHPnTg4fPsz+/ftJpVK43W7q6+tpbS2uYRcEgUwmw549e0in03g8Htrb263xZ0NDA8uWLeOJJ54gm81W7H5eYKgQ2wouGsyajQoMJLQ0CS1Nf85eIyciUCuFrCivmd7cIFfjFzxl05YvNM4Hgc6fQS6Eqqr0nu6j70w/Hq/Hsg+qra81IiK4ZpWTS0dMBVGgrdvw1k3GU5w+cQZRFOno7sDns6tuLpTkLjRKm8yluKv3HhJKghu6XmypG5twGpj6ZfNj7/y3VLQcu7o3FxFbgKGpaS7pdCaAZqpsORKmo4NenAZXTN4FiykOxYtTjgUBOuubOD5iJ7L90yPkVAWXJFN8f6VFrDJqtiSxXQjyb8f2b/Maimqljf9qusbnv/g5Xv6SVxRFSDds3MCffPD9s8cRDfuW2SPq6OS0rJV6PjAwyMf+4uPc9q638fz+w/zH177OZ//+r1m2YhkvfdlNfOC9H+Qr//Jlmuta+djHPkZ7ezuveMUrFnRvS5Ys4d577+XYsWPU19dTXV2sOv7+97+fO+64g9e//vXcfvvtVFdX8+STT7Jz507cbjf/8R//wctf/nLa2tp49tlnOX78OG94wxuIRqPcfffd3H777Tz88MNUV1fzxje+kU984hO8+93v5mMf+xj9/f184QtfmH2MxnO85JJL8Pv9fPzjH+dP//RPeeqpp/j2t79tXc/AwAChUAiv14vP5+PkyZNs3rwZMAbYmqaRSCR4+OGHufzyy5Flmd/85jdMTExY2TW/DWi6RiQ7JyCUyCXojfazpnYt2xp7FtT/ZnNZnn3qOcZGxgmGgrzoqkuYYordAw+g6iqNvka2NGx2VFoHyGk5Hhx8iJjDpFjAFeAPltyES3QWHZMFuSypHZ0YtQn6/WbgfjY1bKDOW5z+nUgk6TtdXBIBRp2tE5RQbkHEVhCEsl62AIIqIMQl9JD926EHFxcZLoXwYBS330X9kpqibW6/a9YGaARdO78pqE5CUoWkuZCwFj6jwsyvfCLrJBAFxntXmMqcLyRamO6czWaRZdkWmUylUrbaWdPf2pzcymaz5HK5khonTmhubrZsdEzkBzp6enro6emxbd+5c2fRcQoDHqIoFgVH8rF06VIrM0SSJGvisRS2bdvGtm3byrap4LeDCrGt4KLB7PQqKA8NnSk1ypQa5VjGTiK8gjsvultNo6tmNsobRHbwznyhYTEqkOlUmlMnTnPqxGkCwYClrByqCqHp2rzWOhoa3qCHFWuWIwrz+waWSlVeKKkVEAi6Aty64tWcjpzhmbF91Ptq2dSwwTq2U9qwT/bPnk23Hctc0oDuuha6a1uZiNtVOpNphXafc+qigICma2iCVpLczkUwy0+SiLOEMKNkmE5PIwv2T4coiGxqW83Q1FTRvgPTo/Q0diy4Kta892pPyLbO+H9DyOt8w7h1AUGHK664nAceuZ/PffZzPLP3WYLBAH/wsj/g9r/8mE2BW9TNdGiVnJ4DdAQBZNHFG970OpSMwo1X3IQoSbzn/e/mbe98KwBf+/o/89E/v51bb3kd2WyOK6+8krvvvnteRWQT73rXu9i9ezfbt28nHo/z4IMP2qKwYNTtPvDAA3z4wx/mqquuQpIkNm/ezGWXXYbf7+fo0aN85zvfYWpqiubmZl7zmtewY8cOS6egt7fXel+qqqr45S9/yXvf+142b97Mhg0b+NSnPsUb3/hGK6pbV1fH9773PT784Q/z9a9/nWuvvZa/+qu/4t3vfjeAFa0RRZGOjg72799vE6cxhWYef/xx/vmf/5loNEp3dzdf/OIXuemmm87hL3uOmE1mSOQSHA+foNnbzhVtV5ZM+c2HpmucPHaKIwePAtDa3sLmHRs5HDnMwekDAKysWcmK6uUl3z1N13hk6HGm0tNF2/yynz/ofgmeEoRYEmT8cqgkqQU4faSX1WuMbKaTkVP0xwZ474Z34YRjh46XFPARsxJCRkT3zG/74ySAZEQrKella50nIqMWEFsE0KpUpOlzI7YA48encPlkqpqLRbv8tT5a1zUyfLC0DdDZopDQF34jnQhrYdv8dWbNrhlpBbtIknkcs8/Jj86aUBQFSZKsiWhFUWyqwIqioCiKVTOv6zqpVIpAIGBFkxOJhE2IsxLcqOBiQNArFdAVXCQ8+eSTXHppaW+93zV8664fcHD0GNNanEklwkQuTFgtL45woSAgUCMFDdJrpTcb5Dcoei96ZLcUzI/tuXj2VtdU0dHVQUdXO26va0GkU0REFKRFPQdd19Hm89XNO77TsdNKmjPRXmo91VR5qvjOke+R1ezpuqtrV3Nj1w2ouko8FyUoVzkeq296hP89+EDR+qt7tnNJd7F6rKZraMwpIc+XPmvW2jrdrTkwHUoMMpYaK9re5G0ilxb5xuM/Ldp249pdXLZs82wNYv41lHquAgcnTtAcqKfJX7fQQK+561lD01REUbSJlZX6PMqCC0XLkdOzRdv+4PqXs2Hjej7/xb8rez5JkAm6SttXvJDx/e9/n9tuu41IJFI2vTCdTvPcc8/ZVJcVReHpp59m3bp1VFVVMTY2xpkzZwgGg1RXV1NXVzevf/jZ4syZM+zbt49bbrmlbLuJ1Ag5PYeAiE/20xvpZ2lVtxGlX0Da8fTUNE89+rRVZ7xmwyqWruzm8dHH6Y/34xJdbG3cQqOvtJCNrus8NbqXE5GTRdv8so+Xdr+EgMtZs0ISZALzkNp4Ms6Ddz/Ezbe8FFES+fdD/8mq2hVc1X5F0fEi4QgP3fdo2fvOtCdRGovfB9/xEFJKXtCE5qVX7aSuwR4tjkXjPHKfYXmmuzWy64s9xsWwjOv0+fEUFUSB7h1t+Kq9jtsnT88wcXL6vKUim8gXRso/rlmvCs6iUWaKsCkSZda1ulwuS90433oHDJEmTdOs90xRFNLpNKFQyKqNTSaT+Hw+3G43qVSKXC5HbW2t9ZuKx+Mkk0laW1sRRZF0Om1NlJlqxoODg1RVVVmCTclkkiuuKP59VVDB+UQlYlvBRcPvW8S23dWA1y9YHxlVVcmoWSIkmcxFmFDCTOYiTCrG/zL6+RefMKGjM6PGmFFjnCjY5hFcRiqzNJvaPPvvOrkK10WO8p4Pgh0JR4mED/P8gcPUN9TRs3Ipja2NjgJIJrRZBWMJecHRlnJeuiYE8/9KnNwre1lTtxqAWDZeRGrBVEQ2yHFKTSIKkmP0vbmqmif6nuX0lN239JEze/nZbf9U1F7VNZS88wnzkHsBAVEXHMihcY85NcdjI4+gFDwXAVjWvQzRJfGNx/53tq50DoMzw+zsWedArksT27WNRkqYiuLYrNSAcrFqyeZxdHQUTcEtFEe/NF1z/M2IggT6wuqT869PEESEWfun3xV897vfpaenh/b2dvbv389HP/pRbr311nlr5srBfPbNzc3U1NQwMzNDJBJheHiYrq4ux9q3ctizZw/ZbJbLL7/ctn58fJzdu3fzyle+ks7OzkUdV0BAFiRW1DjbzhUinUnz9BPPMD1hRFhdbhfbLtmCv97HvQP3MpOZocZTw7bGrdZ773xekUNThxxJrVfy8pKuG8qQWmleUgtw+vgZamqrkWWZvePPkFQSXNpyieMxDx84Vva+waizdSK2SihX5DVbCuW8bAGErIiQEtF99slMrUpBF3RHnYLFQtd0Bp4bZckl7bh9xVkUDT21hg3QyPmdxM73mM2HSWqdRKNgLtrrFNUtjMya7U21ZBO5XA5Zlh0JtK7rZLNZvF77BLnpcmHuY3rXmlkcqVQKVVWtWnpVVRess1JBBeeCCrGt4KIgm806ik78LqPwA6TrOi5BpkWuo8VVZ7P20XWdqJJgUokYacZK1CC+SpSwGl9QVPBskdFzDOemGM4Vp4nWSEHqpSorvblBrqFeChES/Rcsyns+Z7mnJqcJz0Ro62hl9YZVuL3l0zlVXUHTRSQHgqeqqkXqytXwmjC8djXkBfgzl4NPmq0hEwSCchVJJU6goC7OaAD/8LIP8PJv/JlNIfngyAmS2TR+t7ewue13paOi6xoikiNR09FRAVHPjz4LFlk8FjlKUi2enOoOLbEG2S6vyNi0PV36weNPo+sawguEyFkiYLpmCWjp6I4KzEZ6cWkbDpfoIucwWVHQcnZSYX7V3BcqRkdH+dSnPsXo6Citra289rWv5W//9m/P2/E9Hg8tLS20tLTQ39/P+Pj4oontQlBYI1gOXtGHR/IsyL5H0zSOPn+UE0dPWeuqaqrY8aJtJMQ49/TfTUbNsCS0hLV1a8pOrsmCzInwaZ6b3F+0zSN5eEnX9YTcxamy4ExqnaCoOQbODLKkp5u0kmb30MNc1rrLMa15cnyKibEJh6MYML9vUlw26iYKbk0N5WDMOfpZiHJettmM8Z6JYRnVV/DOiQa5lSILS+efD2rWsAFasrMdyVXcb7WubSSXNmyAzuf3zEwhdjrmQkWjTIsemPNvzd/HHIfli0SpqmpNUplpyfk2QTDnUwvGeE7TNGsfUw25qmou2yiRSODxeKxIcTwer1jkVHBRUCG2FVwUJBLF6UO/63AitqWWBUEgJPkJij56RENa3vwoqWhMKzGm1AgTuQhTaoRJJcqkEiHtkOp4PhFW44TVOKeyw7b1bkHOU2w2Irz1s9Fet/DC6DYCwQBLlnXT1d2Jx2t8PHVdmxWXKv0B1dFQdA1p1krI/BCLolDWM9eEgGBFPgXdIEXxbIKgq/xkQKqEh63f8rCFoCtERkuTUlP45eKITGtVA5+47h385T1fs60fCI+yqmlJ0XUWQsdIry4XZdbQEHWRQ5MnebB/D69eeT2tgUaOzRx1bL+uds7TdElTSxGxHY1OMTgzRnd9e9k6Muu6L9iEihG1L/xt6OgouoJHLB5857QcbslT8lolQUZFtVK+Ae667xeAGSF3TlH/XcNHPvIRPvKRj1yQY/f29lJTU4PX60VRlHnTm88FC01FDshBQ1N8AWnHiWSCpx7eQzw+943r6Gpn0/YNnImfYc/YUwiCwJaGzbQH28sezy16GIgN8ejIY0XbPKKbG7uuo9rjnL4uCtJsTa2dWTr1hX29/aiKSn1DPY8MP4ZbdLOt0dld4PCBOdG6UvWxAIImIMZltKoC25+Aii5pCOr8EwTzednCLLFtLf4uatXnj9gCZBM5BveP0bW12AZIEAU6NjXT9/Qwmfj5/0ZbkwUFolFiwSSqGZF1iuqaPrROolGSNDexa6bLm+00TUPTNMvSJ5PJWGnNJszorEla02mD4OeXGySTSRoaGqx9YrHYRfekruD/Jl4YI9QKfu/x+0hs873aFurP6QRZkGhy1dDkqmG1xz5gSOoZI8qrRJlUZ/+rRJhRY7OqtxcGWV1hRJlmRCkWLakSA0b9bkF6c7UUnDcR9Fzra0VRpK2jle6ebhqbGoq2C4KIhDCbelyepKq6ioCGqEuzJj4LiNIKko0UGl67AlWekFWTq+qqo0ppSi0xaLOlJOrUuuuYSI+RVTO4pWJl4FduuJq9A4f52aHd1rrDY6eLiC0YEZxCsm6QW61sKqyGxo+P3cszY4f5de/jXLd0K43B4mtp9bdS562zll+y+nKeOlqs3ryn9xBL6jtKnu9CoUigxuGd0XStSAzLhDBPXTKAS3ST0QxvU4vM4pTSXYETdF3nzJkzZLNZJEmipqaG7m5nQbSLBSO7oHx/YKaoVwWruPYlL2ZkaJTTJ8/Q0t7EkuXdPDvxDEfDRwm6gmxr3ErIHSp5LAEBr+RjLDnB/YPFdfRu0c31XddSW8IOSJyN1BZGgnVdd/wd9h431I3FoMiek0+XtAsaHhwhPBOxH68M5JhMtoDYIoAaVJAj86sjO0VswbD8icxeh5ASISuA234tWrVaJFR1rkhOpxg5PEHb+mJVX8kl0bmlhTNPDaFm558QXShM+x9VVYvSi/OJbTnvWtN7GuxpyCbZzc9ayI/OmsuCICDLMqqq2mpxzfNmMhlL8A2MMjO3222dK5lMWqJwYJDnVCpFZ2fn+XhEFVRQFhViW8FFQTwen9eI/HcN+YTWnF1dqBedE5yUEAOCl4DbS7e72d5WgBk1ZolWTSpRpmZreZN6KV/T84OoliCaTXA6O2JbLyNZtkRmerNJfj0l7CgWilBViCU9XXR2d+L2lB8gGb630myqsDJP9FZHRZl3MJQfpS17XkFG1CU0XWUmPUPAFcArz9YcKc415oW1dqIg0uhtJpqLoOqqIwH9xPXv4NDoKU5OGqrZQ5FipU5BEJB0I6JYCA0VedYbuBQ+sO1NfPqxr9EbGcLjch7kr61dB3lE/3WbXspnfvb1onZ7eg9x67Y5C4eFKmOfTbRzse+fqqu4HFIwc1oO2TE92Q5BEPCIHsfn/H8dXq+3yDZDlmXbOtNi43xgZGSEn/zkJ7Z15zv90fIIzfttiKJIe2cb7Z1tZJQ0u4ceZDg5TFuglY31G8v+jiRBwiv6mMmEuafvV0UTUS7RxfWd11CfN4GUDxFxUaR2dHyURDxBIODn0cnHaPA2sK5ubVE7TdM4cnD+2lrbvURd0F6sfKtWLZDYlonYmhAQEMMyWlOBZoVLRw+oCInzO6yNDMdw+2QalhU/f5fPReeWFvqeHj5nG6D8FOR8b9tS9n7lvGtNQuoUrTXbAFa7cmnIoijajmMqG5tKx4qikMlkqKubez6mn7V5nmg0iiiKFtGtoIILiQqxreCiIJFIOHbUv6tQVZVMJmPVr5hKhPmzp4UfqvMJQcfyuV3ptkfCklpmluRGrbTmKTXClBJbkILw2UJBZUyZYUyZKdoWEn3G9bpqqBNDVnpztRQoWW8mSRLtnW1093RT3+A8qCsFTdMYHR6l91Qfbp+btRtX43I7k+v5SK0RgVt4SqlJcBv8jaiayonwKWRRIpFbGLE1z1njrp21NVJRNcX2t/O5PHzpFX/G6757O6lchvF4cWQdQBJlZE1DcRAuU3UFl+AuSchqvFX83ZUf4PuHf06Vp/j3W+epozXQZnsu3fVtNIXqGI/Zr2dP7/OO53BCoRjKYlAYoZ07hm5Z9BS+A2KpyLWuowu6ZYVU7h0WBBHBIc25FBRNIa2k8Ui+BYmZVbAwNDU1sXXrVtu66elpnnrqqXM+thnxFwWx5N8sko3wwOBviOVirKtby9Kq8qTdJbhxix4SSoI7e+8uEpeTRZnrOq6hwVecnQKzpNZVVXQ9qmboBTgpoZ8+2mv8o0Hg6MwxXrfiNY7vWv+ZARLxxWVaCRkRISugF0RT1VBuQdHUVDLt7GUbsJcJSBEHYgtoNQrieSa2ABOnZnD5XVS3FhMzX7WXtg1NDO0vVos/W5hCUjAXhS2sDS/0rs2vwXWK1oJBQmVZtkVn871rVVVF13XcbjeappHL5fD77SU26XQal8tl7WMKQplEN5fL2YiurutEo1GqqqqsNOfClOoKKjifqBDbCi4K4vE4giBY/z127BjZbJbly5cDRp1VJpOxUtBGRkZIpVK0txs1SZOTkySTSVpaWgAIh8MkEgmam41IZiwWI5FIWDUdiUSCRCJhda6ZTIZUKmXVgJidr8/ns7zestksHo/HcVnTNLLZrCW4kEqlSCaTRR+OfKJrLpvIVzx0GiSfjX1AvjiVCb/owe9uotNtT59SdY2wGi9Ka55So8S1C6tWGNNSxLIpzmRHbeslROpnbYmM9OZqVjcsZdvKDSzp7ipJRkshHovTd6af/jMDZDJzkeuJkQnWbVlLa0eLtW7+lDXBUWRqMZBEiZW1K1A0lecm9jm28ZdRRzUH0S7RhaZrKJpiRaF76jv49A3v5mN33VGS2IIR8VFUJ2KrIgs6ElJJchtw+XjHhtfy6MgjjCTtEfq1deuLno0gCOxcsp47Dz5sW39g8DgZJYvXZaYzl1ZEPteJLzNSlU9q868v/9SqpuKRi2trjUi5PLt3qQG5XRFZtJ5jmQwBXWcmM0VaNaIeSSWOT/bjFt3z1ndLgoQsuqxUeCOLQEDE/I2KuEt4mv5fgSRJRVGhc1Vi1XWdRCLBnseepq6+jmUreqiuqS5qN5QY4qHh3UiCyItadlHrLV9P6BV9yKKLjJrhrt57SCh2EikLEtd2XE2T39kSSChBahVFRRed0+tjiRiTY5Po6JxwnaDb38Wy6p6idoqicOxwob7+/BAQkKIulAY7QdfdOrpXQ0iXz9oy/cvzI7RA0bIQl0AFCg6nVitIQ+c3HdnEyPMTuLwy/tri/rqqOUhupcL48WKBxnOFVcPsoE+QnwVnpi6b2/LtfcztQJEacn67XC6HKIpIkmR9P/O3q6pKLpejpqbGWmfaAplE18zOM9OXU6kUiqJQW1tLLpfj2LFjDA0NUVNTY43fBgcHyeVyrF69GkEQmJqaor+/n23btuHxeMhms+zdu5c1a9ZU0pkrmBcVYlvBRYFJOs1U3fHxcQKBgCVcMDk5icvlsjrTyclJBEGw0l6mpqZscvHT09PkcjmLqE5NTVmS9GAQX3Nm0Tx/Npu1Ov10Ok0mk7FSczKZDNls1pp1zGaztuVcLkcul7OOX0rhOb/2svCDpKqqNVOZ71mX/9/FoPAc8x1DEmZJpFzFSuxR3rSWtUjuXE2vkd6sXsAor4rGuBImIWZYu3Qlr1p3Heualy/uGKrK8OAIfaf7mJxwHlhkMlmefXIfG7auo2tpZ1nyZEbdSnnTng1kUaLaXcVAwXpJkBzrcZ0gCgZx0fVZkqvnuHndFTw9cJgTE4VHNqEjCKLhu+oQtVV0BbfoRtJlNJxFtyRR4oq2K3ly9En6430ABFxBukPOdZA7lxYT25yq8Gz/EXb1bFrQvZZDud+5ouUM8me9D8VtRfKitiX+vKqm4BLdJSOwc2TXniYo6ILjJIGpLS2KIjXuOqYyhsqsJEgIGBHccnBJbqst6LPRQ9B0AUHQEBGRK5/z8w5N13h2z3MM9RvierFonMH+IWrrauhZ0UNbu6HcfGTmMHsnnqbeW8eWxi14HGrjTYiIeCU/oiCiaAr39N3LdMY+MSUJEi/uuJoWf7PjMQREgi7n9ONwbIbaPOKRjzPHegEIB8NMqzO8vONmx3anj58hkz67khYpJhcRWzCituI8xBaMqG0hkfUXEltdQIzIaHUF7413YQT6bKBrOoP7Rlmysx13oHgCqX5JDdlkjvBgdNHHLvzO5I8PnKKbhTW3+UQ3l8sZWUMFpV/mmKUwEmyOkUx1ZFM0ypzYzz+/OR4zU5dzuRyKotiis4lEgmAwaO0Xi8VwuVzWWGpmZsbyuzXHYIODg3R3d1vX2NfXhyRJuFwuNE1jYGCAaDRqEeEKKiiHypewgguOfLNvmBVFSiapr6+32qTTaZtAQSaTsfzPwCCa+UqZpu+aCTPFJn+5UBa/UGSh3PaFKh4XpgEthAgJgmDNrs4p8oq26OtCiW7+dZyLYbxXdNPhbqQDe3RA0zWiWpIJJVKU3hzTzt2XeH3zCl69/npuXPEi/O7FKaEOTI/w1PF9nDxzGr/qoUGuwu+gbAvg9XnZtH0Djc3OKX0m8omMhkoqm8Iju3GJ5x4JSzqoIvtk36LJs5HqLCFhZAB89iV/zN8/+K2y+8glo7YKuu5GFEWDlJWoSRYFkV0tu3BPuDgZOcna2rUl0zF3dK9zXP/UmYPs6tlU9nda6lnMWfTo5a1S5iG11jl047ft9HfVdR1ZdNmtkgoyI1S9NBFVNHXWOEmYTWE31ouIIIBLciEhE85N4ZG8pBwslKz7QSLoCqFoGXLzpDm7RQ9uh+hzBWcBXSetpkhrKYYH5jIVzH46Hk/g9hpWT3vG93AqepLl1ctZVbOy7PssCy48ouEHquka9w8+WJQJIQoi17RfSWugxfEYAsIsqS0mb8ePHGfp6iWOomc5JcdA3yCqoDJeN87q2pW0BYotlTKZLCePnS55D/NBirmMV6/gMShVCq7SrkEWUokUNNij3b6AQ7mGE7HFUEdeCIE+G6g5jf7nDHIru4vP0bKmgVxaITG5+G9joYuCuU4UiydYC8cfhRPtZmZZfnsn71pJkmzWQGAQXUVR0DStKOqbTqfx+XzWWMksMTPHZul0GkVRrKwJTdOszDnzWsPhMD6fz9onHA6j6zpNTU3WMSKRCBs2bLCufWhoiPb29qL7qqACJ1SIbQUXHOl0Gk3TbNFPc2YQ5tJbzE7UnC3Mn0nM5XK2FLP86CkYnXI+8VUUxdYJqqpqm8EsVDIurOspJLqFSr6LJb6l0onyt+fXFpoDqPxt5ZC/79mS28J9BUFARKRGClIjBVnhsVtVZLRcQYTX+O+UGiVXZuAf8gT4g1VX8qr117OyYXHqp6lchvtOPM7/HrqP/aPFwiY+wWN58prpzTuXb2LX1m1l05pLReY8spusmjVEoc6xFtLJ7seor51LmY1nE6TUFI0lauoKIQgCHtnDp65/j+M9mONLURANaxq9WChL0RXcuGdFt+SSdkmCILC9aSdBV4hl1UZUvfC9GYqPsr59OQ2BGpSCd+b54VOLIvFzZHZO/3shKYblSC0YhFbTtZIkOaflcBUQ28VAEkRUHZxuVdd1slqWrJaeTS8vnX7sk/z45cDcZNc8mRMLsaqqYGGIK1FyZobDbMa5+dutqathx66t6LLGbwbvI5wNs6NpB83+YuXcfHhErzWRous6j488wemonUCKiFzdfiXtwTbHYwgIs+nHxaTq1PHTuPyukpkm/b0DqIrKZM0UqqxxVfuVjuc4ceTkOXnOC5qAmJDQgvbfoxZQ0EUdQSv/DjtZ/kiS3csWDGLr5Jur1SgwVjpifq7IJXMM7hula3sbYqENkCDQvrGZvj1DC7YBcirngLnvfuE32RyL5E/kmwTYnNAvFa3N964tHDOZwQJRFC07n/xzmOO2/ABFKpUiEAhY1xyPx3G5XFabeDyOqqpW6nIulyMej9PRMZcxNjU1RW1trXVt4+PjSJJkRWej0SjxeJwtW5ztqCqooBAVYlvBBUc8Hgfm0lfMdGKTmJrpLSaxNYUPzI7OnD00ia6qqqiqanW65mxk4XK+WmChQqDTciHxLVxeDNEtxGIjsCbxLkV0nY55PsgtzBHc+Y7hEV20ifW0uept6zVdJ6YlmZxVaTbJb3tTKzeuvZzrll+KV17cwOPoxGl+cug33HPsEWLZ0rPhKT3DQG6cgdw4tb4qPn7FO7ly2c6yxy6lHmrCLblRdQVNFy2FYlNEZjFwUkX2y/68gQx4JA9fO/Tv1Hnr2FS/gfX1ax3FpZwgzCWq5q2d+7dLdCPrMoU+lwASMmZmrTyb6lyKHG6s28SsS2vRoLLeU4dP9vCXN/0RQxF7eCbkCRjnAUP9zPEmBNK5DKfCA6ypnxXeyRvEC4izxkylLXrmq3FF0BAFCRHJ8W/oEQXHZ7RgUi6ArDtZC+lk1SwZNY3fFSCazTlHxxEJuats0WRD+Eqy+eVWYMfOnc7veVNTE7feeitgKDAvVoVZEAQj9VwQWLKsi7Ub1xDOhtndvxuXKHNF2+WOntPW/oh4JZ9N3Xzf5H4OTh8qaCdwVfvldJbwujVJrZNK+sjQKCeOneTqm64oKYbWe6KPrJRjsnqSzQ2bHFWW06k0vaf6St7LQiFFXUXEFnHW9idavvSinDJyPrEVNAEhJqFXF9iZBTR0l4aQu3ACRalwmpFD47RvLE6NlWSRzq2t9D41iJJZ/Pta6EmbT3TNbK9y7ZyimmaGWmGE18m7VlVVFEWxEVYwxmmiKNrGbZqmWeVgZqlYbW2ttV8sFsPv91tju2jUSNM2U5fT6TSJRMIiurquMzExQXNzszWeGx4exuv1VtKQK1gwKsS2ggsO08PWJLbJpDHALyS2ZodcqOhnLpsdnVmXay6Xqh3JJ7b5tSrzLZvrSs2kmliMst/ZqEE7zdbm/8+JeJ4LuT1fCs6iIFAtBaiWAqypWkJXdyfdPV2EqhYn9Z/Iprjn2CP85PnfcHj81KL2vbpnBx+/+p3U+YtFXvLxowP38q1nfsalnRv5o0teS3OovmRbHQ1FN+oZU6rh0+cSjTRlJw/IQpRKRTYhCAJu2c0HN/8Jz44/x+OjT3DfwP2srFnBpoYNLKvuWRCZzo9qmhFPc70gSEa0soBQKeTmiKIAWTXLZGqClhLpkDAbJchLtQXwyh50dGoDVRwcPmlrP52IMJUIUxeopiT51OHRoWeZToVZXb+kaLOGQk7LIVAclbAOUOZ6zfpXTdeQJbmovaKpyKKEoqmIhgLVQg5dDAFDVXl2UdVVkrk4iq4Y0XOMCQa9IMqaUTOIgkidQ4p0hdz+dmD6lW/csp6O7nb6Y308NvoY7YF21tWvLesHLQkyXnGu3EBApD/Wz5loL82+uYG6gMDWxk20OqQGm9t9csCRtMZjMU4dO83q9atwSR7H65mcnsbtckOTTmegg2varnJUTO47NUh1dfk+cyHQRJWMt3giT2p14ZbmMq0ymYw1HjCxEC9b63gRGaW6+H3QqhWkyQubthodjePyyTStKP5muLwynVta6X16CF1dmLVZKeR/y/OVj02Y4x9zMr9wXGJO7BeKROV71+aPqZLJJKIo2to7RWdTqRQul8satyWTSTRNs0rIFEUhmUxaAqAAkUiEqqoqa+w2PT2NJEkW0Y3FYqRSKdavX2/d78jICEuWLKkoKVewYFSIbQUXHIlEAo/HYw1EU6kUsixbnZtpm2MSWVNAqpDYmsuFxHY+olv4MXCaCT2XZRPn0vEuhEzmE13zXIViVYUpzedKUs8WjU0NdPd009beiigt7rkMTAzz4JGn+PXxxxjMTBBW4wveN+j28+Er38YfrHZOszMxGpvir+//V/YMGlGTXx59iHuOP8ofbn0579hxC26pdFRBQ0MSZHK6kVKa1dKIgoRLMEiu0+9A0ZQiKw9wtvrxSB52tV7KzuYdHJp+nidGnuK/T/yYoCvAdZ0vZnXtqgULTtlTd3UkZEdipOoqki5bPE5HYyI9QUbLlBSJ0tHQdB1xVppUEIxJDU3X6axtJpEtHqCeGO/nkqUbyl5zPJtALjlRoCPAgvxlbXvlkVqgDBnRMV4ZfTbLsXByCxb+SgmARlbLksjFrckETdccRX/iSpysZvR93oyPWk9xRE0QBFx4AB1Fd474VnB+4fP72LpzM1XVIQ5M7ufQzCE21m+gI9hRdj+36MEluG2kNuiqYn39RtbXbzx/11fr54YbbijbprMpQOdL5leT3bp567xtzgkFwXJVVbnzzjtt5HYhXrYmxIgMFItcqReB2AJMnQnjCbipbiuetPVWeWjf2MzgvtGSk2KlJrudCCwUqyEXft+dorWF3rVmdLbQu9btdlvR2mAwaLs2c0xm6qA4RWeTySR+v98ap8ViMQRBsIhuOp0mlUrR2tpqnXd6epqGhgbrfsbHx/F6vRbRnZycJJvNsmTJEucHWEEFDqgQ2wouOOLxuFVfC0YHmF8fm06nLVsdMDpRl8tldeqFIgf5kvQwf8S2VOrOQpfPlviauFDk0ildOF+QqlDw5kLD4/XQvbSL7qVdBIKB+XfIQzabZbB/iN5TfUQjUaqQeE2VQU5zusq0g0XRpBIhk6f0e0nnBj754vfQUibqCnDn0Yf4wsPfIV6Q0qxoKt/c+1MeOPUUf/nid7OpdVXJY8iiTEbJ8avjjzKRmKGrpoU2fxNrWlfgld2z3rdzf4u0knY8Trk0Y0mU2NSwkU0NGzkZPsUTo0/ys9O/5IauBMurlxFyVeESXSUHR04QBAGX4DbqTFHR8n4bhv2PZF3XlsYtTCQn6I/10xXqcjyejo6mq1YkyTzasibnQfTJiX4uWbq+7DWm1SxVHuffj67ruCWPozhOKRSSWk3T8Dikwmu6NmvxM5u5UFDAtxAfznwY7x4kcrGy9NMjegi6qgnHwta68fQoHsnrmOKqoRpp5RgWQaqeM1Ll0c4qM6SC8rjquivQUHlk5BGm0pNc3noZVe6qku0FhNnUY/vwKpIJU+WuucBX+7sFSZLweDwFxHZhXrYAQk5ESIjogYLSoJC6oHre84HRI5PIXplAXXFfHmoM0LyqgbGjkyX3z/8+F4458iew8yesC0UrAZs/bT7M2tn86KwgCEXetbIsk06njXrmAoKcTqeRZdkirWaWnUl0FUUhlUpZ6cK6Pudda47DIpEIkiRZGQHxeJxsNmuJRmmaxuTkJF1dXda1mrZANSVUviuowAkVYlvBBUc8HreJFCSTSVuaSzqdtnWkJrE1kS8kBUYnKklz/qJOy06df6nlQuJXzvg8v/18EdxClDqfue1cU4Gd9r/gkVsBmpubWLKsm+bW5kVHracmpujvHWCwf8iagCiES5BodtXS7LIrZeq6TkJLEybB1k0b2bm6vJXMdDLC3+3+T3affrpsu96ZYd71v5/hNRuu5/273oDf7aw0G3D7ePX6G3iq/yCf2/2fDEXHERBoCTXQXdPK0rp2LunYyJL6Ntyyc4SwnIdtPpbXLGN5zTJGEqM8PbaXel8dOhp+OWD4mwoy4iI8d0VBRMyrVzUElRR0XbJl3zb6G6nX65nJzFDlrnIkdha5RcIkhQ3BGqq9ASJpuzfnqfFStkQAZtaBRsgddG4hCIiCuOCoaSGpNY/hBE3XkEURTTMIrKqpIKq26G658zoNxkVBIiCHSChzWQfC7P+JiIRcVVS7axFFkWWhlZyOzXmHjqVG6Qx0OUanc1oWl+hBFmVkZPRZ+6epzJjtb2TYyth/e6qukplVYhYRkSV3mXrlUjD7FWcybQp/5d+zuIB0ffsx7HXeAiLeMrWsFwpJJcnDI7txS24ub7usbLaEiIRX8hVF5COZCI+OPM4bQ0su8NX+7kPXF+Zla0KMyKiBgmwYcTYdeWZxPuhng3wbIE+wOGJa11VNNpljpt+eRu3UD833rc6frM6vtwW7P60Jc+xSOH4qXBZFEU3TUFWVqqoq27Wpqko2m7WlqCcSiSLvWlEUrXpb0z4xPzobDoepq6uzxgjT09N4vV4rojs9PY2iKLS1GcJp2WyW8fFxNm0q/12voIJCVIhtBRccyWSS2to5UpJKpaxUE3C2+sknuoXE1qwPMVFo9VOogOykiJwvpJAv1GQuw9lHaOfDQolwOeSrI5rL57vmthx8fh/dS7voWtKJP7C4wWYmk2Ggd5D+3gHisXiREBdgE5woh+6qEKvWrSg56DFxYqqXrz7+fQ6NnizbzoSOzo8P/ppHep/l9qvfwYu6N5dse0nXBn74hr/nX5/8Ef/vwK8YiU0wEpvgyYED/HD/PQAsqW/i6nWri/b1LXKg3hpo4eU9NxPLxlB1hYyaxiN5jVRiQcYtGe/NQiOLhhKyhCRIFqmkoG5WFETqvfVGClsJZV4dHVVXrfMKCPzoQ//Mkms2sur6bVa7vukRskoOt2wfhAkI9EdHyahZllV30xZqKop4mWcSkRzFvj7+sU/wpre8iXXr1hgtddAEDTk/uquDKImOz8clzq6fvXlJkotEwso9V1NgqBABVxBRkPIUkAUkQcTvCiAJskV0az31rBbdhLMz1r5pNU1ACDgeV5klt8b7LeISPEY9HSqKNhvF1dWifTVdtXkaZ5UMIiJuybvgFHcwSb6Ahlb8XARmBcjyzqtpC6pFt46PvRb8t1FhN52e5tmJZ1lStYRl1T1l27oEN27RU/S8k0qKO/vuxictzs7s/zJSidS8XrYmxLCM2lZc5nGxiC2ApmgMPDfCkks6HG2AmlfVk0vliE/MbwNkfg8LNQQ0zZhEkiSp6FueXy+bD6dsNl3Xi9SRPR6PNc4qJMhmGrKZZZfL5cjlchYh1fU571rzPLFYDFmWLaKbSCRQFMWyeFRVlZmZGTo6OqzrHh8fp7q62tpndHQUgK4u52yhCioohQqxreCCQlEU0um0lYqsaRrpdNrqJHVdJ51O24hvJpOxEd1sNlvW6seJ6BYS28IZyPzlhVj/5KNUqnEporrY9hcK50MtuaWtme6ebppbmhZ9/RNjE/Se7mN0eKxIDCMffr+fm2++uYQ40NlhU/N6vvqy29HRCaei9IZH6JsZpi88Qv/MCL3hIQYjYyiaPbo3GpvkA7/8e25aeTkfuvIPqfE6C2D5XF4+dMUfcsOKF/HZB/+DU1P2yGSp8bxPOjvf0ZB71idQ18iqGbQCi57CaNlCMPf31C3SYqw31oqiCLpQxqJmLkonIDhGGlVdo3dqmJXN9rrd0cQUvZFhdrSuYzA6OnstBe+N493NYXp6mmw2g86sYIojCddn05jtR1B1DUkQZ49sV5U2lJTnFKeL956FYERDnQS+3JKbVC6BDkiijFvyWLZKOjqCLiAi4HcFSatpYrkooiAhCSKTmQkavcVWMjo6ipZFFvPqOAXDskmS5Nl+bGF0UEMjrSbJqiJuyYMsLDTFvXTqs4BQ9JtUNXUR5Lb4N3AxMRAb4Fj4GJsbNzsqCOfDK/qQHSYFcmqOu/vuIZqN2rKWKiiPZDJF4RN38rIFENIipAXwFmReVSnogvFuXWgIgkAupTDw3Ajd29uKdCUEYdYG6Olh0tGM46T4fGKV+eMGUxDKRP7Efj4Ko7OlyrjA+Bbnj7NMmKVi5jmSySSCIFhjtEwmQy6Xs6Uhx2IxampqrHsIh8N4vV5rHBgOh9E0zUpDzmazTE9Ps3btWuu8Q0NDtLS02MZ6FVSwEFSIbQUXFIWKyOm0UT+TP/uXr9hnWvmYM4qaptk6Z103PG3NWT0wOudynraapjl6vuVvLySy823PRyniO9+HymmfhWChhNIpwnw25NYf8LOkp5uuJZ14fYv7yKRTafp6+xnoHSQRN34LpnVRqevIFxo7XxAEYdYqRqXGV8VmXxVb29baSEhOVRiOjtM7M8Sh/uPs7z3CaGqKMAnuOf4oTw4c4M+veCs3rnxRyfOsb1nO9279O771zM/51t6fkdOMgYPXIU0MwC26z2miQxREvLLPSLktQTjPvu7STG0Hk+SKgoCANK9nqo6OXOJveGpisIjYpnIZdrauxy3JJJU0cglCpigKostZFCaRSFgRCUdSq+slrVAsq6Si36RT6rUBVVGRClLMFS2HK49omhAFEfdsXa9T2q+Rzm2oTNd56slpOdJqCkkQiWTDuEUX1e7aov00NFRdQRaKf1/G32pxf3eD4KYQySyS4C4Mxn0Wi2dZ218gNcKnoqcZTPRzWduL8JaZfBIRZ9O9i+9H1VXuHbiPidSEw56/Ozhz5gz79u3jlltuuWjnTCWLNQmcvGzBeHeliIzqzdl3kEEPqgixCzvMzf/NpiMZhg+O07G5WE1elEQ6t7Rw5qkhVAcboPwsrPlEo/IxX7Q2f+zkNFaSJIlsNmsjr/nbFUWxRWdNdWTzGhOJBLIsW2Musx82gxWqqhKLxWhpabGuc3p6mqqqKutaJiYmjInzFuO5xeNxIpGIjehWUMFCUSG2FVxQmMTWnKkr5WFbaPVjLpuKx/ketqbQgdNyfroOzEnd59fH5nvemusKU5XLbV/s4OtC1LeWE6gqJ2K1UHIriiKt7S0s6emmsblx0dc2NjpOX150Nr8G2vwb/TYhCsUepi5Jptlbx/jYMO3jIdr9O/E3+LjmpquYSE7SFx6mPzzKzw8/wFVLd1Djc47eypLMu3a+mmuXX8JnH/gPDo6ewFOC2GbzZszNZ5LMpQm4FxfdEQQBWZAZHBjkrz75Ge7/zQNomsYVV13OJz59O6tWrgKB2XikswjS9S++kXXrjYHED773Q1wuF+/6o3fy6c98CkEwZub/+tN/w3//9/9jYnyCjs4O/uIjH+Ktb3+r4zW5RAktq/DUN3/FwN5juANe1t58Kae61gCXAfCJj/0lDz64m5fc+BIUVWHj5g24N9VbKdU//cnPeHbvc1x7/bXc+Ys7mZyc5Dvf+zajI6N84+vf5PTp0zQ2NfLmt7x59hka5Oxfvvo1qqurePNbjfU/+K8fct+99/H3//h52tpaURSF97z7fXzwQx9g7bo1HDzwPL/4+S8YHBg06l1XLONNb34jzc1NgM7kxCR//sG/4H1/8j7uv+9+Tp86zdve/jauuPJydj/4EL+6+1dMTExQ31DPi6+/hpfc+BKH52FOYjj/9nXmFJMbfc2MJYatiOdYahS36HUUG1N1BVk3aqyLI87FSCsZ4kqCoKu0wNtiCG6puGqpfsZMUXYig4UiOfm7m5H4C018VU0lp2W5tPnSsueSBRce0evYRtd1Hhp6mIF4uZpyO9LpNM8//zwjIyOW7kR1dTXr1q2joaHhrO7lfKCzs9OqlQQ4dOgQw8PD8yoxnwtKWf4UetmaEMMyanOuaL1arSBeYGJbiNh4grHjUzSvLBYxlD0ynVtb6X96CDVnn3wrR2zNWtr877f5b6faWnMfQRCsY5lENz9oYJZp6bpuE/g0kUqlEATBGq9lMhlUVbWitZqmkUwmqa6utt6DWCyG1+u19olGo2iaZqUhZ7NZYrEYy5cvt84zPj5OU1OTdW3Dw8O4XC6r3raCChaDCrGt4ILCFBUwI7Km+qG5bBJbc7nQ6qeQ2BZ62s6niFzqQ1HoYTtfdHWxy/mYbzB2vkjeQmp+5yO3wVCQJT3ddC7pWFCNaz6SyRT9Z/rpO9NfZNlQLvX4YsOJ1Oq6zplTvRw5eIRcbo5s7njRdhRdIejxsa55Geual1nbFC3nmH5ooqeug/989V/xowP3smd8T9F2VdOIpBK0FvDjYxNn+MIj3+amVVdw44rLaAqWT4M0MdA/wBWXXsn4+FyE6Cc//im/+fX93PfQr1i3bt3szRrExRBhsv82v/fd7/O2t7+VR594mGeeeZY/fs/76ezq5B3vfDvveNs7efLJp/jSl7/Aho0b6T3Ty8RkmWiUIHDyN8+x+mWXsPYPLmHgmeM881+/YfnG1ehXvx5BEAiGgnzlji+zfPly+gcG+MZ/fIPu5EquW3qpdZjx8XH27t3L+z/wx0iihK5pfPUrd1BdVc2nP/MpkskUP/jeD2ynXrV6JbsfeGjumR49RigU4sjhI7S1tXL69BlUVWXFyhXoQDaT4cabbqSjo51MJsNP//dn3PHlO/jrv/trREGwmNuP//vHvP5Nr2fJkm5csovHH3ucn/7vT3jLW99CV3c3fb19fPMb38Tn9XHVVVc5PRQKU53zo8I2cutvZjI9PrteZzg5QHewxzHFO6Ol8ctBq1baTAt36goCLj+xXJzeyAAtwQbcoqdkBNUkuAIZPGcZwXXq/+Yjt1a5iJWSPhsRU5M4RdFnT8Sx8AmeGHnKsk0SELiq/QpW1RkK57FshGce2mftIskSq9etoqGxjnAmzIGpA7QGW+ipXlr2njyiD1lwVqEF2DP+NMfCx23rVtQsd2xr4vHHH0fTNHbu3EkgECCdTjM+Pm59E38bMCd5S6W6XiiUsvxx8rIFEBIS5ARwFaQj1yjog4tTMz8bFH5Pp3vDuH0ytZ3VRW29QTftG5vpf3bE1hUsJHPH3JZPWkuJt+VnvsGcFkm+yKZ5LJ/P5yj8aJaRmfskk0lkWbZIayqVsgSnzGMmEgkrLRmMtONQKGRdy/T0NKIoWpM18XicRCLBqlWrrGsfHh6mq6vrvGduVfB/AxViW8EFhameZ3aMqVQKj8djdaKmjLzZgWUyGURRtD6k2WzWiEYt0LN2Pg/b/JlPp+2FMvsLFY4qFyU93yj8iJpEdaGksZDcipJIe0cb3T3dNDSWt8ophKZpjA6P0Xe6j7Gx8aLQTf7H94VKasMzYfY9c4DwdBivz0tDUyN19bU0tzbjDXpmB9OlUL4OUBREXr/pJnynVAYT9uhNOpdjKlU8SKv313B4/BSHx0/xT49+l23ta7lp1RVcv3wXoRI2OACf+sSnbaTWRDQS5WMf/jg/v+tnxt89bwCj6qoh6jP7TDo6O/jHL/4DgiCwctVKnj/4PHd85Z+58sor+J8f/y93/epOrr3uxQD09BiDf1MB16ny9WU3/wHbb7uRvX2HWXPTTo7d9wwn9x9hKhGhIVjD7Z/4mPF7RKSmtpprb7yW3Y8+bBMxUhSFd//Ru6iqCiEIIgcPHGRkeIQPf/QvrHS319z6Gr7wD1+w9lm9ZjU/+K8fEovGECWR4aFhXvHKV3D0yFGuve7FHDlylJ6epbjcLgQEduzcjjqr8CsKAu941228/71/yvDgEB2dHdad3fCSG9i+Y7tVZ/vT//0Zr3/jG9i+YzsATU2N9A/08uADu7nyyisdJsBAL6r5cya3siDT4G1iNDmMCii6wkhykI5At+PgN60k8cmm0JQw66Lr/M41+xto9NUxFB8mLWWQZ4XHXCWIqz4PwS31FoiCiKLljMrmgveuHLmVJMkavAsFlktOZzJ+gxp7x/dyJnbGtu37x/+bazqu4qr2K9AFnWQ6SSaVIVQVZMslmwiGAgzEB9g/tY9NDRsJlIlkC4j4JL/NyqsQh6ae59mJ52zr1tetZVXNipLHzWazTE5OcvXVV1t1h4FAwIpymW3279/P8PAwqqpSV1fH5s2bbVYow8PDPP/880QiEWRZprGxkcsuM7IjfvSjH3HZZZfR3t5utf/pT3/K5s2bWbp0KYlEgrvuuotLL72UU6dOMTU1xbZthvCbmYp85swZDh8+bB0PYMeOHUxMTJDJZLjiiiusY2uaxi9/+Us2bNhAT0954a1CJBfhZQuzqtsRCa1BsW9w6+g+DSF18QnS6NFJXD4XwYbiSGig3k/LmkZGDxv9df7320k0Kn99oftBYR2tuQ7sacgmgTWXTdsfwLH+O5vN2iK5pj5KfnQ2Ho/j9Xot0hqPx9F13VJQzmazJJNJy4dW1w3v2vr6emsMNz4+jsvlsoju1NQU6XS64l1bwVmjQmwruKBIJBLzetg6Wf2YHWc2my3yYJNl2eZxKwjCWXvYFhLTUp62hdsXE7HN334+iW4+OV0sadR1neqaKrqXdtPZ3YHLvTj1yEQ8Qd9sdDaTdo4oFD7D3zZEQbQFe5ScQu+ZftLJFCtWLae2vtamvKnqKhklhdNAWkBAFtyzAjlgigyV+h3kq9CaaPTX0RqaS/M26mQVqn1+Xrb2CtqqGmitaqCtqpHmUB0xdZpcJolPCuCVvEXCQPfd+5uS9/7Ig4+SzibxFAhxSIKMqmdQdBUdjR07t9u2X7JrJ1/+p6+wb99+JEniyquuoBDCbC2nFZXPI1PrN67nj658Nf4nvTx84ll8VQHS0SSnJgZoCNbw4x/9D9/99n9x+WWXMzY2RjQWRXbLuKW5T1N9Qz1VVSHMP97I8Ah19XU2wbnlK+zRsI6OdgLBAE11zXzuHz5H15IutmzdzP2/uR+Ao0eOsnrNaovIjoyO8aMf/Yi+M33EY3HrXqampuno7MD8DSxdOkvmgUw6w9jYGN/4+jf41je+ZZ1bVVW8/tJ1mUJeBHgOpciti+7gUk7GjgGQVJNMpMdo8hXX8Glolkr2fFEfERlR0OkKdZFWU8RyEZJKAgEBn+THI3lnfXwLr3KO4LolT0kinA9ZcoFu1NZS0NaJ3BZOLpbDnK2QsU+Tr4nj4WLl8wcHHyKajXJNx5V4vB4aGurZtH0DoihyeOYwE6lxLmneWVbYShZceEVfSfVrgNPR0zwy8qht3dra1Wxr2lL2Psyo6NDQEPX19Y6RqieeeAJJkrjiiitwuVycOnWK3bt3c9NNN+HxeBgeHuaxxx5jzZo1XHLJJWiaxsjISNnzOuHgwYNs2rSJHTt2IEmSpU4LRlpyJBJhdHTUykhwuVyEQiEefPBBUqmURZJMAt7Z6expXQ7pEl62/hICUmDY/hQRW4yorXiBia3jd12Hof2jdO9sxxsqzn6q7agil8wx1RsuWx5UOCbJJ61mdkOhLkihBaKZ6WYS3fxyoEDAWXU9lUohSZK1TyqVQtd1S9/E9K41J2LASEMOhULWPuFwGFEUrb46mUySTqdZtmyZ9dwmJiZoa2uzrn94eJhgMGhzzqiggsWgQmwruKBwElbK70QXsrwQnC/i+Nuu/VwozpbQSrJER2c73T3d1NUXi9GUg6ZqDA+N0He6j4nx0obzUHpi4Hzg0KFDVtTARCgU4qabbiq7nyCI1mDdnDBZvtI5kqDrOoqWcySkgGWzAgbJTSsZ7h+8nx3NO2j0FdfDpZTiCEStt5r6YICpzASqrtgEmd77olc7njetpkmraQQEvJIPvxywLEbyFS4LoWkaiqqg6DkkZItfCAI2MR8dnZyeQ9ANMS3zdfB6509LN5+HxJwdhUt2IQoib931MgJuL78SvoOu65ycGEAfTfK2t9zGZz/3N7z+da9Hdrn4zUP38+C9D9iO63EvLiXevLFVq1bxhS/9I1VV1XS0d9DZ1Ukul2NwcJCTJ05y00tvsiYH/umLX6KhvoHb3vE2amtq0HSdT3zsL4ueqccza5MBpDNGGcXb33mbNVCD2T5kdoxpp6tzeGj3Q1x/3Q0MTwzmRdzMvkewljRdI+SqpiPQzWCiD4CZ7DReyUeVuzjNUdFziJqhbFz+8RiRUEGAoBgiIIfQdIWUkiKrZwCBoFyNoudQNOd3QNUUNFRckhuZ0mm55i2JggS6Q2xfz2tEoYq3cyZAfrp1PlbVruDRkccdL+GZ8ecYT06wrLsbd53MwZmDjCSG6Qh1sKlhY8lL13Udr+RHFuSypHY4McJvBuy/3dU1K9nRvM2xfT5EUWTnzp3s3buX06dPU1NTQ2NjI11dXdTU1DAxMcH09DQvf/nLLdK7efNmhoeHGRwcZNmyZRw5coTOzk7Wr19vHTc/mrtQrFixgo6ODsdtJgEXRdEW5WtoaCAUCtHX18fq1YatWW9vLx0dHSVrQMtB1xfnZQsgRmUw3Mps0GoUGDmLPuQ8QFN1Bp41bIBc3uLhdtPKerKpHLExQ4ukcEKjXHqyWRsrCAK5XA63221FfnVdtz13VVVtAQMz8y2/TMx23ZpGJpMhFAoVZdsVqiObRDebzZJOp2lsbLSuPRwOU1tba/Oudbvd1u9yZmaGXC5nZREoisLY2Bhr1qx5QYjIVfC7iQqxreCCIhgM2mZ8/X4/kchc+qXX6yUcDlvLHo+HmZkZq8N2u90oimItu1wuFEWxZijNzt0UQcgXlZIkyRaZzRdS0DTNNqNZanupFOVCzEeI89N/zxam965ZF7wYEl5TW8OSni7auzpwuRb32seiMfpO99PfN+Ao3JGP/HtciM9uIdweN2s3rpq3XVVVla2GcSHRHdt53M7KuiZU3RCQcYJhwzL3DDVd41f99zKUGKI/NsCWps1sb9xmi/44EVuv7CWtpkqmi5aDjk5KTZJSk4iI+OQAL7p8F7+6+17H9svWLsftds9GyBSbMu9QfJC2oCHSsXfPM7PHB0mU2PPUHpavWM6GjRvRNI2HH3rESkUuh3zSL2LY6OxqXosPN8RyHBs4zUTfCbq6u/izD31w9nnqTE1OU7KGchatba1MT00zMTVJY70xiXDqRHGUbtXqlTy0+2Emxyd5za2vRRQEVq9exV133kMul2P5ymWIQCweZ2R4lNvecRurVq0E4PixE47nNgeEADXV1dTW1jI+PsGLLrMrZRt+wHMEtfCOyvcD9j0UVOrcDWTUNBPpMQBGU8N4JA8eB8XerJZBEiQkh1rcvCtwFD7yu5wF0X5b0HWdjJouILD6bEp3sZVVZ7CDly39A54dt6cCm9B0jTO5fibD09S4q9jWtI2gK+jY1jiTjkfyGs9S14siziYimSjPjD9Lg3duUqvF38TmxtKEuRAdHR20trYyMTHB1NQUo6OjHDt2jO3bt1vqtD//+c9t+6iqSjweB4zo2GJTfp1wtpGypUuXcvr0aVavXk06nWZkZISrr776rK/DycvWFyiTCaELiFHZILJ50H0aultDyP42nJBByagMPjdC9872IhsggLb1TfSnh0lFMkXvY2EacmGplZmtpiiKJYpptskfC2maZktDNtsEg0HHvsis6zaz7RRFIZPJ2FLj4/E4gUDAOk80GkWSJMsyKJlMksvlrH00TWN6etqmjjw+Pk4wGLT2GR0dRVVVurvtqvkVVLAYVIhtBRcUgUDASmERBAGfz2dZ/phqe6bljzl7aFr+yLKM2+22KRnnqyOLomhbdiK2+bW2+f5thUTV3J5PygqJL9hTkvPb5293Uig+F+QTWqvubAFEUXbJdHZ1sKSnm+ra4uhOOaiKyvDgML2n+2bJxsKv82xVj1vamtmwdR0+b3FNktO5LpQvpKZrKFqupF+rW/TMeojmUHWVU5FTtAVbWFm7jKArgFf2EsnNEHRV4RbdqJpK1oEkB11Baj31JJQ4adW5pmxB14tGQonxF5/+EA/vfsQSaDMhSCIrr91kLSuaioiIIIhk1AyjyTFLkGhwYJDbP/xx3v7O29j33H7+9V/+jc//4+dZsmQJb/7DN/FH73qPJR7V39fPxMQEr3mtEV3euG4zf/O3n+EVr3zF3LlnU+W++fVv8fhjT5CKJWA8Rf/Pn8O9ooeB/gF+9pOfc/XV17Bv3z6e33fIkdf+5H9/wmf/5u84dfIUfr+fQCDAP335K7znne/iB9//AV/9yh1MT09z33338ZrXvYYvf/WfWL1mNS+/+RVcddVVfOKTHwdg9drV/PD7/03Psh68Hi+apvGvX/s37r77bn78Pz+muamZW171SqqraojH47zo0sv43g++yx1f/Ree3vM0K1ev5J+++E/8x3/+B69+zau45dW38L3vfo/9+/bzpS9+iSf3PMnBgwd58xvfzH99/7/4l3/+F5579jmWLV/GV+/4CldedSW9vb1cd+31ALQ1GpGxN7/lTfzHN/89747nyK0A6IJOKpelylVNNBdBR2doVkxKcrAwSqkp/EK5WtGL76N9NhAEAa+DEnQ5XNF2BVe0FafMX0iEXNW8edVbbOt0XWc8PVzG97kYkiTR0tJCS0sL69at4+mnn+b5559n2bJleL1eR6JoTtItRGinsF92yvg5W8GeJUuWcPDgQSYnJ5mamiIQCFjRu7OBo5dtmYgtGOrIhcQWQK1RkMfLT2aeC8zxTKnvXjqWZfjAOO2bm4veO1ES6djSSv/Tw6iZ0taB+ZPZ+WJe5oS8OeYxRaJMKIpi0y3JJ76loumpVAq3223tY7pZmEQ3k8mQzWatulhdN7xrq6qqrDFVOBzG7XZbEd1oNIqqqlbqsqIoTE1NsXLlSuuZDA8P09TUZKmbaBC+AAEAAElEQVQuV1DB2aBCbCu4oAgEAqiqavmkmWQkk8nYJOEzmQw+n89KizFrafNtgPI7YlMwIb+zdrvd89bWmihMkV2sCNRiRKLmI6GlthcS2oWirr6OJT1dtHW2LVrNMhKO0ne6j4G+QVt0aj4UinMtBrJLZv3mtXR0t8/feBaxWIxf/OIXSJJEfX09GzZsOC8fQyMFWSGrptHQLN9NTdcsgaSEkrBFkBr99TRiF91SdZVIdgav5IMisSADPtmHKIiEXFV4RC8xJbqoQXAsm2Q8Mc1EMsx4cpotreu5b/ev+ciHPsLjjz2Bruts276NgdokpxKjtn1zWg6X6GI4MYSOxmhyFB14/ZtfTzqV5prLrkWURN77/vfwjnfeBsAd/3IHn/rEp/jT93+Q6alpOrs6+chH/8I65vFjx4lEokXX+eP/9788/tgT9pWazqnjp3nDm97Axz/2Cd74xjfS3t7G5TdexcP3PGhrGo/Hecub3srfff7veOUtryAWjXHXXXeRiCd54+vfxDPPPMMH/+yDHDl8hFe/9lVMTRsTMR1dBmlsamq0+pk1a9agaRqrV69CFARuv/0TfOM/v8mf/8WH6OvrZ2hwiJMnTvH3X/x7Dhw4AMAnPv5JPvGXn6CxoZEbb7yewcFBvvPt7/Dq17yKq6+5Co/HzTtueyetra189ctftQZyt3/0dr7wpX9k9Zo1fPXLX+GWV7yK46eO0dnZyY9+/P+49bWv4+DzBwhWBQ2BvcIcSuYi3gAdgQ72Tx6gJdhgqf6GMzM0eZsdI4kZJYVb8jp6915oldgKzFpmEY3F94kmqqqqGBoaora2lnQ6jSiKJfu56upqxsbGrDrwQng8HsuFAIw+9Gz6a1MM0On47e3t9Pb2MjU1VfI6ForFeNla1xaVHFMktGoFLiCxXQjik0nGjk7SsqaY7MtuiY7NLQw8M4qmGGOTwsn3QsuffIiiiKZpRbW0YIyl8tONTVGoUr8jVVVRFMVKF9Z1nWQySSAQsMZXiUQCSZJsNo75+2iaRiwWo6mpybpWc7LDPO/ExAS6rltWUqlUiunpaXbu3Dnvs6yggnKoENsKLijMQZ5Zn2F2hOl02kZss9msjdiay4W2P6aQVC6Xw+fzWVHVfCKbrzBozmaWWjb3KVwujLqeTVrt2bY/G0Lr9rjp7O6ge2kXVdVVCz4XGCJKQwND9J7uIzwTWfS9OaUeF6LUMRuaDBGX+Wbi81FfX8/OnTsJhUKW9+ODDz7IjTfeuKh6Ll3X0XQVRVdm62nn/qsugmCWQ1pNEUkXkz0AX14aqVtyUyca0dtUngpzIpckmo0ymQxzJjzGSHyKseQME4kZkop94HdN54tYtXUp9+3+NalUyhhcZBL0vPEKJvpihONRmqtn09HQyWk5RpMG4c1pOXJqDkmS+Pjff4oPffYjxDNJ4pkUvzn5JIlsmlgmwZJXb+W9N68mnk2SzKZ4Xpjmm3t+xvbOdSSyMVv69fFTR8lms/zxe/7UWveSl8z5u+q6zto1a/j6N/4dSXABGocmTrLh8s1Wm1te9UqWLOnma1/7Gq+85RVWitr6DUYd4dKu/+LDH/0wf/03n7H2UXUN0K1I5utef6u1rbu7i//6/ndQdWPgdcdX/5kvf/WfePs7brPaKLpKSkny+S/+HXfeeSd/8qfv561vewtvfdtbZp+dwFWXX8XwyAjtra0sW76M3t5efvXre6yI7Fe+8hXe+773cMurbgGMSYFf33sf3/rmt/jwh/+ChnpjcNvR1jlvHaQH43cScIV4cee1ZdtW8LuJTCbDE088wdKlS6murkaWZWZmZjh27Bjt7e00NzdTX1/PY489xsaNGwmFQqRSKUZGRmhvb6euro5169bx0EMPEQwG6erqssSj1qxZA0BTUxMnT56kvr4eXdc5cODAoks4wJisTiQSzMzM4Pf7ba4GS5cu5dFHH0XX9XNWtS3lZesPOHvZAgiKiBCX0EP2/lsPquiSjqBeuAmdct958xs5MxDF7XdR111T1MYdcNG6oZHhfWPoun1yvlS0Nv/4+UrihanL+d61Zv1tqUlvc/LDDEJks1kURbFS1HVdJ5FIEAqFrN9PNBrF7XZb4zszOmvuoygK0WjUNtkxMTFBQ0ODNQYcHh5GkiSbancFFZwNKsS2ggsKc3YumUxSU1NjdZZm52kKHpg1HWb6sDnzaKbQmMRWEARbHYm5nE8A87ebxyhHZJ1mP/OPV7hc+AFzOp7TB66caq5lvZNnjVPqI2m2A2horKe7p5u2jtZFp5DNTM/Qe7qfof4hVFUtmU5dCvmTBItNPZYkiTUbVrFk+eJracwZXhN1dXXcddddDAwMlK0xSykJMlraIK6agqKXFls6n0iVSDMuTLEUBIGgK0RADvL89BF+ceZuMkqWwUiUiUSi7DncoovlNXPP0nzP7t9nCOnous7/e/RuXnrJdUynokRSUWKZJBPJKaLpGOmcwlBkgnTffv7hgW8v+N5UXeX5sZM8P3aSgNvHlvY17OhcR0d1M7quc/e+3eSypeuyR0dGyTeLUXTVpogMsHHTRq558TVs27yd62+4juuvv55XveZVZLMZhoeHefGLr7G1N8xuREfRIQANHVEQOXLkKJlMhmvy9s9pObJqBgHBEg7btm2rbf8dO7azdt1avvfd7/GRj36YH3z/B3R3d3HFlfb010suvcT6tyzLbN22laNHjkEZq5gKfn9RTtBLlmXq6uo4fvw48XgcTdPw+/0sXbrUEtK54oorOHjwIE8//bSV8ZRPDJqamti1axeHDx/m6NGjNgsVMMSm9uzZw4MPPojX62XLli3MzMws+j46OjoYGhpi9+7d5HI5duzYYRGW5uZmvF4v1dXVCy4V0SXnCdFSXrY+v4/wdLFNmgkxIqMWEFsEI2orTS9eyOp8Y+zYFC6/i1BjccTUX+ulaXU9Y0emrHWFwoDlvvP5YwgzAJCvFWKWgZXLbjKVrc19THVk8+9Z6F2rqiqJRIKGhgarX4tEIgQCAeu3OT2bRWOmpqdSKaLRKJs2bbKue2ho6KzFxiqoIB8VYlvBBYXL5cLtdls1GqIo4vV6LWJr1tlm8wa/brfblgZrCkjlH7MckTVnLvOXC7fnH18URdv2+epkSxHjUgrPTtZA5gxs/raF1qd6PB66e7roWtJJMFRa+MQJuWyOgf5B+k73EQk7RxLnqxcCe4r3YpSrdV2ntr6Gzds3Egidnzoas47HFFEphbgSs1I4LyYyivM5fSVqBwVBYF3dGkbik3zjwC9I5uz7mxMfqqqhKBoScPPKq5Acoi9PHdln/ftrv/5vqPIyk4qSyhWn+Z2rIngim+LRM8/y6JlnaQk14JJlRsMTIAqgOR+7Js+yRweyag6/y/5cJEninnvv4vHHn+D+++7nX/7la3zqk5/mnl/f7XhMszLVya4GsCx+8gfeOpBR0yiaYlsHOA4Cb3vHbfzb1/6Nj3z0w3zn29/lD9/2VkeyWih6VM7zuILfX3gkL26xdCqsJEls3FheaMrlcrF161a2bt1ask1HR0dJRWOfz2cT3AO45ZZbrH8HAgFuvfXWwt1YunSpLdImSRIvetGLitqBEZnL5XKLSkPWAio4iOwv1svWur6IjNpR3OdqNb9dYpvfvw4fHKdrexu+quLJjqrWINlkjolT05Y4prlvOVKraZqlDWLW2eZ71xrfDLsWSSGy2aw1qWLuk0wmberIiUQCj8djZdeZEzFm5kkulyMej9PV1WUdd3p6mtraWou0jo+PI8uyVW8bDodtfrcVVHAuqBDbCi44AoGATdDGFJAy4fV6rYgtGMStkOjmt3e5XBZRBoPYFi7n718qYpuvhJxPNEspKRcS1bNVOnYijfOqHAvQ1NzIkp5uWtpaFp1CNjU5Td/pPoYGhheU3lyO3J6NP62u60iSyIo1K1i2qqfsM1MUBRYx/sjlciQSCZs/8sWG+Zw0XSWSjTGaGKcvNsB0OkxOzeJ3FV+bqpWOGAuCwPXdV7Kyejl/++DXeXboKKqqzQqrFT/3WIfzIHDP0X3WvzPhpGMbE7d89u1lty8YAkymZhBFEbfPRf3yJqaOjzk2veKqy23LOS2H20nNVxB40WW7uOyyy/jEJz/B8p4V3P+b+1mypJsHHniQq6+5Oq+xCOiOtaU6WBY/K1Ysx+fzcf/9D/CGt72u5PunFZFRnTe+8Q18/KMf5447/pkjh4/wlj98c9F+Tz21h8uvNO5PURSeffY53vu+94CuW6mBZ1PjeDHw4IMPUlNTw5Yt5f1X/69iz549ZLNZLr/88nnbukVTvfr3N0qv6zqZTIZjx47hcrloa2tb8L6q37kfPBsvWwAhIyKkRHRfga5GSEEXdIQSmgfnivnSkE2IooimaAw+N8KSne24fMUfu4ZltWSSWVKTGdskfDliawpqmsTW/D6bZDKdTiMIgkVanWDWcZukNZPJoOt279pkMkl9fb11X6Y6stmnRSIRBEGw0pBTqRTJZNIiurquMz4+TktLi3U/w8PD+Hw+myduBRWcLSrEtoILjmAwSCIvldLv9xONzkULvV6vLSXK4/HYiLDL5bJF48zlfAugWCxmLcuybCOu+bOe5YiriVJEtpRFUKmIbSHy2xfaCJX6KHp9XrqXdtG9tAt/YH614HxkM1n6+wboO91PLBpb1L7515ufony2qceh6hBbdmykqqZ8/e/01DTjY5Ps2FRaQGLfvn20tbVZitvPP/88giDYZogvDAQyaoaJ1CTxbJxoNoZb9NFT3UFvbIDe6AAjibFZSx1QVI1MLkfA5XMktu/7yd/yli2v5NUbrrd8ZAvRXdPGf9zyaX743D3808PfI6s6C3ptbl9dtE5RFZ49cWhuOaVYwiQXCsb7JwECsiyCILDpD7ZwMLmXiUF7WObqa6/k8isus63LaSpuyT7Q2/PUHh58YDfXXn8tjU2N7NnzNJMTk6xevZq//NQnef/73k9TUyM3vuRG4rE4jz/+OO9533uQHYjtDdfdyCtveQV//Mfvw+v18qEP/xmfuP0TIOtcsmsnkxNTHDtylDe/bY6oOk1A1NbW8spbXsntH7md66+/zjFK9u//+u+sWLGcVatX89WvfJXwTJi33fY2dKC7uxtBELjzzjt56Utfis/nswaPFfz+wCW6ZxXHBX6fiW0ymeSuu+7C5/Oxc+fORU28qgHV8AcueD66rpNOpvEVENmF6DGIYRnVV1ACIYFWpSJFLv6w1+l7qWRUBp4bpXtnO5LsYAO0ronBfWPkJu3ZZaWOr+u6Ve9sRmdNTRLTDkgQhJJWd7quk06nbRZAyWTSyroDLIcLMw3ZJLpmXayuG961NTU1Fmmdnp62Uu3BIL6ZTMbaR1VVRkZGWLFiRaVEo4LzggqxreCCIxAIMDk5N6j1+XyMj49by2aE1iRSHo+HXC5nLZupyKbFjpliY3bc+RY/+UIW5nIpb9pSFj/zedcuVEm5sH0+SXRKRc5v39zaxJKebppbmhHExXX2E+OT9J3uY3hwZFFRVSfk1/PC4lKPwbiXZauWsnLtirKDHU3XSChxlECWluXlLSJSqRRPPvmkpbTd0NDAtddee94itiIioiAairSCiFfyI4suTodP88szd5PKZgmnEuiKRCKbZjIxQzqrkM7lSGdzZGb/q8xGVq9au4b6gN0fVNU0To2P8Vf3/js/P/QQn7nxfSyrd04hBHjDlpu4etkO/vq+f+fh088Ubd/cVuz9e/D0UVIZe8pxLpU9617f7/IR9PgIeQKEPAGCHj8hj5+Q20/A7efEdB97Bg6hA7IkWpHRhroaXvknL+PU/jOM9Y0hu2SWre/hZZe8vOgcOVUpitiGqqp45JFHueOr/0w0GqWru4vP/+PnuOGmG5AEiUw6zVe+8lU++uGP0dDQwC2vvgWxxADpzOnTTE0a9Wsa8MGPfgBd1Pn8X/89oyOjNLc087Z3vdW2j8sxhVTnbW9/G//9w//mrbe9zfFcn/27z/KP//AF9u/bz7Lly/jJz/6XxsZGBATa29v5zGc+w8c+9jFuu+02/vAP/5Bvf/vb5R7//3lomnZWGTIXAn6/f0G1gB7RO8tnhd9rJepSacwLgqyj+VSkVHHHlEymioltGS9bE2JERm0tru3XqpULSmznK2Mq3J5N5Bg9NEHbxqai77wgCrRtaKT3qSzZZK6sw0G+hU9+Fposy1Y03RxblXp/nLxr0+k0tXnlIoXetZFIBFEULaKbTqfJZDJ0dnYCxvhhenqaxsZG6/s/Pj6Oz+ezUpcnJiZQFKXiXVvBeUOF2FZwwWFG1kwi6ff7yeVyVh2I12v4SZoWPh6PB13XyeVyuN1ua7bQlK3P964ttADKJ7qF5ubzEddColoYoS3lbWvCSXypFDl2Iof+gJ/upUbt7GJUggHS6Qz9vf30ne4nES8vNHS2WChJdnlkPAEPNXXVrFi5nIC/fC1tTssSzUUWrES8a9euBbUrBRERSZCQRBkBkWgqwWRymplkjOlEhOlUlJlklKlkhJlknHAqxnh8islkGPUsJgp8DjPkqbxU+eeGjvKa7/w579n1Gt6+8xZcknO33FrVwL+++hPcefhhPv/AN5lJGVkPzaF6WkINRe3z62tNqKkczHJsURAIuH0ETHLq8VHlCVHlCeB3ewh4fATdPoIePwG3D0mUjOdWEAnNqjn+5+B9HBg9YRxXFBAl4/cuANVeY9+V25azcttyAGo8tY4DLEVTcMv257VmzWruvPuXs2RVsCyYzPrVd/3Ru3jXH73LdgwzAp5T50ocNF3n5OkT9naiyJ9/9EP8+Uc/ZDungMDKZavIzu5vvK/2d3Z4aIj6+npe9oqXFd0HwOo1q3nsiUcdtwF88pOf5JOf/KRt3cmTJ5mYmKC5ublICO2ZZ57h1KlTLFmy5KJYYui6zv79+zlz5gyiKNLT08P69YYadTab5cSJE6xbt67k/g8++CDV1YZ/dl9fnzHJtWwZ69evt5TsDx48yMDAANlslurqajZu3GilI545c4Z9+/axc+dODh48SCwW46UvfSmJRIIDBw5Yg+rGxkYuu+yyi0p4zecwH3yuih/nQqBWKY7E1klAaiHfRiEpQlYAd4Fvb7XiGB0+H5gvYwuKHRZEUSQ5nWb8+DTNq+uL2ksuic6trfQ+NWhTnC+EWTubP1bRNI1cLmdlWZl6JqWQSqVwuVy21GWY0xjI5XJkMhmL6Or6nHetOcYKh8PIsmwR3VgsRi6Xs95pVVUtKyjzWoeGhqirq7P2qaCCc0WF2FZwwZFv+RMIBGxetiaxBWOwlJ/2UkhsFUWxEVtzudC71u/3U1tbi9/vx+v1WtHR/H3NyK95bJfLhSRJ1na3240oitayx+OxmZz7fD4r7dm8VqCIVJswr0EURTKZjJVaLQgCre0tdC/tprG5YVGDM13XGR+doO90HyMjo+glBHoWCqfZ5vwPZf52t8+F1+/BE/DgDXjw+M3/upFkCZ/kJyiHyt6PrusklDhJ9cIQ8UI8fuoIp6cGiKTjRNIxIqk4kXTcSh02MZ2KMBwdL3GUxcPnLo7spAqUgrNqjq8++kN+dexx/ubGP2Z96/KSx7t57ZW8aMkmPv/AN7nryCNsaStOQwZ4+uTBonVuReLdl70WWRYIuP0OAzwBWZQs8lgITVcRmctymE5G+K/nfslIzIiCCoIRrTUR8HgcB2QB2Uy7NRWRjfcjpym4nGpsMe0pdQRAEkQ0XUfXiy1cS/3i9AKDS0VzTuuWBAnvrMew/ajGbz+ZTDIyMso//sMXeOe731kyte9s4fF4mJqaoru729a39ff3l62PO9/o6+tj5cqVXHvttUxNTbFnzx4aGhpoaWnhiSeeWNBAtLe3l6VLl3LttdcyMzPD3r178fv9LFu2jGeffZZoNMqll16Kz+djcHCQhx9+mBtvvJFQyJh9UVWVo0ePsn37dutb8Otf/5qenh4uvfRSNE0jHo+/IKK4FZw91FAOxopJl5Plz3xetjDr/xyR0RoL3nGXjh5QERIXfug7XyZXfpvocByXT6auu7qojdvvomNLK+MHp3A6lDnuyY/ompP8ZrRWFEWr/tYJqqqSy+WsiSgw+jmfz2cdNx6PI0mSNZ5Lp9Pkcjkb0Y1EIrb626mpKVuZxdTUFKqqWjXYmUyGycnJSi1/BecVFWJbwQWHOeNnEtt8L9t8SfhMJmMTIchms1baiyldD3OWQGb6jdlpm0R3+/bti7a+uZhQVZUHHnyA5tYmupZ04vGWtoFwQiqZor+3n4G+IeKxudrjxfrlloMkibh9btx+Nx6/G69JXAMePD63FZErhIhIlau6rLUFGCJBsVzkolnuALxu40sX1C6tZLjq3/7wvJFbp4htOutMqo5P9PHG73+MN2+7mT+5/A34XM7Psc5fzT/c/Gd85OrbZmv4ivHUwWeL1sVTSSRNpNZbTVbL4UQDNU1FEMQ8KjcHHdDQkJA4NTXA/x76DalcBp9sXKfLJdlIRlOwBlkovr6gq7ieVNFVXKJcVGNbeH5mr1oUii19NF1Dcnge2mz7/OOommIj9ho6o/FJwukEbsmFR3bjEd14ZBduyU3Q5cMru/niP36Jz3/u77n8isv5yEc/XPJazxZ+v59MJsPMzIxl1zI4OIjf77cpNI+MjHDkyBFLrKW+vp4tW7ZYg8hEIsFdd93Fi170Ik6cOMH09DTBYJBt27bZbGBKobq62orIhkIhTp48yfj4OJIkMT09vSDhJL/fz+bNmxEEgaqqKiKRCCdOnKClpYXe3l5uvvlma6Jz9erVjI6OcubMGUshWNM0tm3bZqUtZjKGmE5ra6t1n5VIz+8+tICKLmkIqv27Usryp5yXrQkp7EBsMdSRxQtEbMt9gwuztgrHKFOnwsgeiaqW4r7RX+OlYVUtE0eL7ZlMYls4wW+6S5jL5dKQC71rc7kcuVzOeu9M79pgMGjdRywWQ5ZlazwXi8VQVZX6+nrrOiKRCJ2dndZ5x8fHraADGH2YIAhW6nIFFZwPVIhtBRccfr8fQRAsQSgzGmp2pmb6sFnjYUZKTWVjs862lJctzFkAmZHXFzIkSeKKay4vaUfiBF3TGR0Zo+90H2Oj47Mqw+d2n4IozEZa3VbE1YzCenzuRdf2ekUvQVdVSSEkMD6QSTVBPBcjkU0zkzTSfmdSMWaSMWaSUQLuILdf9d5zurdzgVf2UOerPm/E1utEbHM5XC4ZSRJpDtZzZfd2Gvw11PurqQ/U0hCo4UdHf8k1Sy6hK1T6o98QrEFyII4T4WlOj/Tb1mVyGaZjYc6MDNBYU086GyVQIlVSEAQEZMffqKZr7Bk8yN7+wwb5m00dliSxaPDWEmxwnOQIukIIiHmBUAFFVQi5A45pgkKJGsWFrkPXrJpfAFVXbL9TTdcYik0wnjQGjik1AwXjZgHY0bKeT376k3zy058sOpf576VLlpJTyw2653+vGhsbmZyctAjomTNnWLp0qU2bQFVVVq5cSXV1NYqi8Pzzz/PYY49xww032AawBw8eZNOmTYRCIQ4ePMiTTz7JS1/60nkFfvKjN4Bl0xYOh1EUhYceeogXv/jFZY9RV1dnu5b6+nqOHTtGJBJB13XuueceW3tVVS1FVjC+BfnX4fF4WLJkCQ8//DDNzc00NzfT1dX1W1VEr+A8QAA1qCBH7H1lMllsSwbze9kCCHEJVKDgM6lVK+hDFyYduRClypWguP4WYPjQOC6vjK+m+PccbPKjpFVmeueEN03rt8JorakdYgpG6XlK7E5Ip9N4vV5rTJFMJq2yMXO7oihWJoWZKZH/fkciEXw+n7XPzMwMmqZZaciZTIZwOGxL4x8aGqK1tdX2zldQwbmiQmwruOAQRRGfz2dZ8gizHpKFlj/5Fj2mgJSJQm9bl8tlI7aFFj+/L0gmkvSe7qO/d4B0qvgjP6/frCRa5NWMuJrk1e11nZcUPgGRKlfVrKVFaYzGJvnyI9/jyb4DzKRi5FTnaO365hXcfpXjphcsREGgzl9NQ6DWIKf+GuoD1dT6q0i7Rovau30uurqaAVhVt5S/vObdRW2Gsqf5+ZlfsLZuDZe3XoanRBTcaYD2dJ7Nj4lUJs0PHvgpmVyabavXI4sSfbEztPhbHI8rCy5U7H+jdC7Dlx79PrtP7bWtlyQRl6t4ouVVm3aSEGpt6zySj7V161D0HAICuq4h6BrhTIQTM2e4pG2Dwz0av7Ny0HUNBIqouK6bachz70kiFyerGe+TUXMt0x6qw+/ycGD8BKfDAw42P5DMpbhuib3G23z+pQfKc8fRdTNyXP7T29DQwPDwMJlMBkVRmJqaYteuXTZiW6jEvGPHDn7+858TjUZtZHDVqlVW6t+6deu49957SSaT86owlyK+iqLg9Xq55JJLyu5fDoqiIAgC1113XVEflD9Iz68bNLFz505WrFjB6OgoAwMDDA4OzkuwK3jhQ60qJrZOqcgwv+UPgKDPpiPX2fsw3aujezWE9PmfAC/U6bCuZQFpyZqmoWs6A/tGWbKzHbe/OHOlpitELq0QH01a+8DcO6PrujU5ZApwmu9xNpu1eXebMKO6Zp+h6zrJZJJAIGDzrnW5XNb+iUQCVVWtiK6iKMRiMUvpGAw15JqaGou0jo+PI4oiLS3G9yYajRKLxdi0aVPJZ1JBBWeDCrGt4KIgGAzaLHz8fn8Rsc1fdrL8ybcMcrlcNu/bQi/b32VomsbI0Ch9p/sYH5so2c4ybXdJs2TVXVT36vaemyG9oqrMpGKEUzGmzehqMjYbYY2yrK6Lt257+byk9vvP3sWXHv4vUrlM2XYvJIiCgNftMv7ncuFxu/C6ZAIeL0trO1nbsJKNTetor2qixhdCQEAtSK2OZ+N8++h3i46dyfMvnUlHi7YDBFzGzPdwfARF1fBKQlHqrYCzSuzTxw44HjOVSXPPngfRNA2/K8BQYphmX7NjEDGnZ5EEGQ3jWkeiE3z0nq9yYtIeCTbUNmXS2YLBHFAV8JHV7BNO9d7iNFgdjZSano2qOg3+5p+AUXQFt4OCsaqryHl1vroOWTWNjo4kSIiihCy6cItu/MEQ7cEWwukoe8ee5+DECZQ8UbP9E8fY2rKGOm9eNNMwx533+uYaz18u4Ha7qa6uZmZmhunpaceoRiwW49ChQ0xPT9v6wmQyaSO25uAT7KmGZ4va2lrL73I+TE9P25anpqYIhULU1tZa9X+NjeVV0EtdQ21tLWvWrGHPnj2L3r+CFwYUTSGtGN99NZQrEnZKp5y9bBcqruhEbMGI2ooXgNiWQuH1O2VbmSRVzaoM7hule0cbksNkYcPyGpS0SjqcsSaIzHfRnOyXJIlUKmUFBGRZJplMWloh+TD9bfNLwjRNs8oeNE0jmUxSU1MzVxMcjeLz+aw+KRqNouu6Zelj6oisXLkSmPOubW5utkj48PAwHo/HIroVVHC+UCG2FVwUBAIBpqamrGW/38/ExBxp83q9Nm9bj8dDOBy2ll0ul80CyIzYFnrXnqu9zW8T8Vic3tP9DPQO2AaqALJbzhNpclvk1ev3ILsX9xqnc9m89F87UZ1JxphORQnProumnYWdQh4/H7/2nbxi3TVlzzUSneQvf3UHT/Q5E60XKl68eQ1rU3Mf8oDsZ3XtKtbUraKnuqdI4EjX9SJSO56c5j/2/zc1Dtm++dHqSNrZY9gvB2j2NfPKnlfgl/2GABm6RTShdJTwDde+jHuffoh9Jw8XbZuKhjl45hiblq1hff0GZMlVUkhJnxWQenrweT75668RSceL2rjdsiO57qhpRHYgP7WeuoI1ArIgo6iaVau7WOi6jujgW2sc3X5tOS2LJMoE5RAIBs0UC6LBNd4qruvexYvaN/Pc2BGeGz9KSsmgofP40D5uXlacUlBabXWuWlkQhIXwWsBIRx4ZGWFgYMCqOc3Ho48+it/vZ/v27fh8PnRd59577y3qA53+NudSi9/c3Ex9fT379u2bV6E8mUyyb98+enp6CIfDnDx50kqL7urqYs+ePWzatImamhoymQzj4+NUV1dbEeZCxONxTp8+TVtbGz6fj1gsZpvwPBvceeedrFy50hqEnyvM2ubrr7/eZpVyIZFWklbZgKbrKLr9fc5mMjz7+IHzpsFwrsg2pVFrc6SVNAnF6FN0d3EktaSX7QIitmAQW6PA3r5eq1Fg7MKkvy7EDnC+TCktozO4b5SubW2ONkDNa+sYem6cdFq32U4pioIkSeRyOZvNoN/vJx6Pk0gkrHRi85rS6bRVLgbGOyvLskVak8kkmqZZk2Wmd23+OxoOh6murrauZXp6GlEUrXrbeDxOKpVi7dq1xv1pGiMjI3R1dS3K87iCChaCCrGt4KIgGAwyODhoLZupyCYxNVORTUsgt9ttedVKkoTb7baZjrvdbivtxsniZ7FYyGDEtJ+45ZZbzuocTlBVleHBEfrO9BOJRvD6PYSaAjQG6uair36P48ytCV3XiWdTBhlNRpmeJanhZMz6dz55Pdeo6a7uTXz2Je+ntaq8AM3PDj3I5x74T2KZZNl2L0TIkki1u4p19WtZV7+GzmBHydrhQlKr6hp3nXqY/3r+F/jdLnYEiv35srMR2xqvjzVNLaTVDN6CVOMmXxMb6zfglowopFH3KiAiouoqOlpJ0rK0rZP7/+n7/MtPv8vnvv+vRX62u/c9waZla6hx16DoCpKgOdotqbrKjw7cxx2P/xDNYVDsdsuIJWqxb9v2MmJ6cZ1yrafOSC0uuHZV16hyO9f8aqgIuo6Qp8hs31fB5SA6pWoakoPVVshVlZdCbNT66npx8rFf9nFZ+1aW1bSxd+wgE8kYvZFhppJh6v01xvEWax9SpqkphAeGKNLw8DC6rtPc3Gxrl8lkiMVibN++3Yp45k8UXkgIgsAVV1zByZMn523b3d2Nqqrcf//9CILAihUrLBujnTt3cvjwYfbv329Fl+rr62ltbS15PFmWicViPP7442SzWbxeL6tXO6uC/7bg8/l42ctedlHrBnU0tFlim9Oy1r9NnDp+pih6XgrnU4SwFBQtS8ZX/F1QQjncacl2DY5etguM2AqagBCX0KvsfZse0NBlDUE5v6TKKbq80DRkE+b7n5xJM3ZkkpZ1xRkNoizSsqGBM0+mkaW5NGRTe8O0RjQtFEVRxOv1kkqlyGazNoFOXdetulhVVUmlUrbobCKRwOfzWaTVVCE3RdsymQypVMp6b03v2oaGBisyPT4+bnnOg5G5kclkWLJkyUIfbQUVLBgVYlvBRUEgELCU9lwuF36/H03TyGazeDwem+WP1+u1BgW5XM4ituZyPpE1l/MtgC4UOjs7yw66FoNIMszE9DgZJYPb52LJtnZEaU4kSNM1oukEY8kZZkZjRQJLtihrmXrV8wmfy8OfX/VW3rjlprLtphIR/urXX+P+k2eXIiheBFGP+fC6Fa+hxlM978y6rutoeYSwLzLMHc/+gGMzvQDUlEjR1jSd1Y3NdFQZA4hkLlFEbDuDHSXPL4symq6VIFTGAEqWZD7wmrdz865r+dOv/hWPHpyri92970k+8Oq3IwgCEpJVn5pPbjNKls89+C1+feIJ52uQRaQS6thv2vgHNIWqiDkIcBVGbAVBmFUp1qj1Vpe4J+M8GgqiLhVFZ40UZichKezrdRzSlXXQBeOYs/W4Zsp3JBtmMD5IQknSHKxhTf1SJHyciQzT4J+bABN0AYTSEfRELsVkKkxXqKVs2rKpAA/GAHflypWsWLGiKKphWt+cPn0ar9dLMpnk4MFie6ezxTXXFGdi5Ksgu1wu1qxZM+9xRFFky5YtbNu2zXHb+vXrS3rCLl26lKVLl9rWeb1eLrvssnnP+9uEqSnx24CqqUWkVlFUBs8MLfgYFyOqK8Vcpn+XDWqVAhP2a3D2sl24WJgUllGqiifttBoFafL8WnWZKPcMy6Uhm9vN5eRkhpm+KLXdxcrfLq9M55ZWJp6fRtfmygs0TbOcI/JJrCnIadbLCoJAKpWy2R6a5WBm/b2iKKRSKdvEWjQaJRQKWWOwcDiMJElWRDeRSJDJZCzRKE3TmJiYsKkjDw0NUVVVZSuTqKCC84UKsa3gosDsKM36L/PDn06nyxJbczmf2OZ7q+XXlMDZR2wXgnxCfa54dvR5Ts8MWER1OhWzRVwjqZhjhOy3hc1tq/jcS/+U7lrnFEET9x1/ks/c929MJ+2KlbIgEZJ8BCUfQdH4r7Us+QhKfmu5PlhrRerPB5LJJAcOHGB0dBRVVQkGg+zYscOqB3JCnbduXtVqk9Tq6GTVHD86ei//c/zXqHn+r27J+feytrkFT95vKaEkqaOY8NnOh24ILQkCAlLJCHJh3HFZezd3/f23+NbdP+ZT3/wS0WScxw49TU7J4ZJdCAgk4kmqq6tIqyl0dEZjU9z+q69ybKLP8RyiKOByOd/bppZVvGv7a3hkZHfRNq/kwycXD/pVPcf+icPIosym5uKUUAEzxdKo1xURkUUXoiBZ3reFqeAm8c8fZBZORNigm+cSERBQdIUT4WMcmn7eIgsCArcsvYWOUBPRbAyfa26ALc7u5wSP7OJzT/07siDz5rUv48pOZ+GliYkJstmsRehK9TeCILBr1y6ee+457r33XkKhEFu2bGH37t3O9/Z/GA8++KA16O7r60MQBJYtW8b69esdJ46OHTtGb28v8Xgct9tNW1sbGzdutMpffvGLX7Bjxw6bRcnQ0BBPPvkkL3/5y8lms7bsn/HxcXbv3s1VV13FgQMHiEaj1NTUsGPHDptV0eHDhzlx4gSqqtLZ2YnH42F0dJQbbrhhwfda+A4ADPeNkMstbuLzQkdtBU1ATEhoQfu7qAUUdFE3Iq2z11DKy9bjdZNJzy8YKUZkoDhLSau+MMQ2/9mZE1L545Kifj3vOZtiaaZFjyAIhPtiuHwywaZiD2tftcewAToyY3nXqqqK3+8nl8vZvGtN0U4zLdjj8ZDNZm2/wWQyidfrtfqdRCKBIAg279pMJmMRXdO7tra21rrXqakpPB6P9c5NT0+jKIqVupzL5RgfHy/5/lVQwbmiQmwruCjI97LNJ7ZmLalJXM1lWZYRRbHIu9ZcFkXRZvlj1tmqaolB6yx0XefYsWOcPn3a6sR7enro7jbSRROJBPv27XP0fCxMRT506BDDw8MsW7aMw4cPk81maW1tZfv27WWl9QG++vCPODR2YhFP8LcDlyTz/svewNt3vAJJLE00E5kUP3z0Tg6cPspVvg0EgwZxDcwSWI9gzBAvZMCUTqW48847bal8OjoZOUPMGyfqiZN1Gb+TJl8jb1r1xpLHymazPPDAAzQ1NXHFFVfg8XisAeu5wCBIGjo6z0+e5I5nf8hQfKyonbsEOfcUEJZkrnSdoDpLno1KTR1N1fDI5VPTnXDbS1/LjTuv5EP/8lnueWo3e48dYNe6bUZaWXUVw4MjtHY083j/c/zlvV8jXKL2FyDk88/64NpR663iM9e8D1EQiGTDxdutaG3hgEZgOh2lq6oFpyJUUZAQBZB0L6quktNyJLIzeETf7GDQIQ1ZV3AVRGcFBCRBcky7NqHPTg1IgsjWpu2srV/PsZmjHJk5QiQb4eD0QXa17MLv8tkmP3RdLxu1XV23lLvPPMJ/HfllSWLrFNnMR37UtLm5mZe85CW27bfeeqv170AgYFsGo58tXPd/Ab29vSxdupRrr72WmZkZ9u7di9/vZ9myZUVtBUFgy5YtBAIB4vE4zz77LAcOHGDbtm3IskxXVxe9vb02YnvmzBk6OjpsNnWFMG2XPB4PzzzzDE8//TTXXnstYBDuI0eOsHXrVhoaGujv7+f48eM23+L5kFNy6ELxu9N3qt+hdXlclKht1FVEbBFnbX+iLusaSnnZ+vy+BRFbISciJET0gH2iUgupFon+baIwDdm87/xJrYljM8geCW91cXq7v95LdXeQ5JGkFa0VRdFSL88nj5Ik4fF4SKVS1nnNsZiiKGSzWasuVtd14vE4wWDQIsexWAxJkmxe2blcztpH0zTC4TBtbW3WeScmJqiqqrJqe0dHR9E0zRpzVVDB+UaF2FZwUeB2u23KxWb6i5n6IoqiNYMIc961+YMEt9td5F3r5GVbDgcOHODMmTNs3ryZhoYGUqkUsdjcAH6xno/xeJyBgQEuv/xyFEXh6aef5tlnn+XSSy9d5BN6YcAveghJfoKSj7VNPfzJdW+io768auHE2CT79x6kJRWkpXb7vOdYCLlNJpMkkglinjhhf4SwL0JOniVSWYo8Rkvh6NGj+P1+du7caa2bz+akFNLpNJqm4/cbhCaeS/DtQz/jV2ceK7mPU8S2UNkYIKk4D94yahpREK10XV3XyWhpPJROxcsqWVwlIn1tDc3896fv4CcP/4o9R/eza51BpARBIJvL8q0nfsbXnvmRLeqcDwGBnsY2huPF9ZwCAp++5r00BGqJZCOO5LGuSDjKQFpNk8glqfKU/9sIgiE0JYtGym5WzeIViyPAuq47+vua9bBGKrMxOVEKRoRcxS262NSwic0NWxhJDnM8fJyMmnHw53XIrczD1uZ13H3mkbL39/sEp3Tm3xb8fj+bN2+2agMjkQgnTpxwJLb5IlKBQID169fzzDPPWJMOS5cu5YEHHiCVSllaESMjI1x1VXmPsg0bNljpmWvWrOGRRx6xMlNOnDhhS71et24dY2NjCy6t0XUdXSj+LY+PTJCMvzDdAqSYjJNknRrKIUeNiSpBEEiWsPxZiJetCTEiowYKPhoiaFUKUvjcnANKYaGiUZa7wWy0tjALzWgEY89P07a5EZe/uF+r6QyRjmcID0bxer3WOMhpAtccZ2UyGWtcBsY3VxAEazIlk8mQy+Vs0dlYLEZ1dbU1HgqHw3g8HmufcDiMqqrW7zyXyzE9Pc2qVaus8w8NDdHS0vJbS9ev4PcfFWJbwUWB2WHmW/g4ednmqwHnE11w9rLNby9JUllim8vlOHHiBFu3brVEC4LBII2NjZayppPnYzwet6Xr5ENVVXbu3GmJL2zZsoVHH32UTZs2vSA6bhEhL9137n+hopRgPwHJizRLopatWsrKtcW1fflQFZXDB48uKiLgJK5hO6agEvXGCPsiRHxRVKn8RMV8GB4eprm5mccff5yJiQl8Ph/Lli1zHNA6QdM1YqkoR547TntHG53dHWi6xmODz/Fv+/8f0yWsekxUeYrTxwrhFt0srVriuM0lujG1kMGsgTVEpJwI8nQszPV/8Sbu+MBfsWN1aX/AV135EmLJBJquIiCSUxX+88QvuevYwyX3Cbp9XL18O/efecpx+9u33sL29nUAzGSchWpqPc7CbLIoE8smSopHOcEreREAyUENWdFzRdFacwBpPjcBEUkQrXTycjAIsEazr5lWfyuqriEK4mzUXrOOWy72s7V5DVKJ9PEKLizq6ups/U59fT3Hjh1zLF0ZGxvjyJEjxGIxS4lfVVUr1bO+vp6qqip6e3tZs2YNfX19BAKBeW2L8i2YzNKbdDpNIBAgFouxfPnyomvO9y0uh2wuiy45RGtPDixo/98GxJSEkBPQXfbrVqsU9CHdKiMoFbFdiJetda6wjNpWPBuq1Zx/YltODbnwe1qYhgxYApqF30lN0Rg9NEnb5kYkd3Gf17y6Hj2no6cEMpmMFbkthGHP5iGdTlvE1/Su9fv9c+JVs+rI5jgmmUyiqqolrqmqKrFYjJaWFutap6enCYVC1j6moJ05pkokEoTD4d/Zif8KfjdQIbYVXDQEg0Gb16zf77dZNXi9Xlv01O122yyA3G53kZdt4XK5GttoNIqmadZsohOcPB8LrXfy4ff7LVILxoDJnNm8UMTWVq9q1qaKXoKSn6DktdWrBmQfoiAsuPY4EPSzeccmautryrabnpph/9MHSMTPXfFYERXCPiMqG/XG0MXzlwYXj8ctP701a9YwPT3Nvn37kCRpXkVGRctxZuQUR546ycpVK+js7mAiOc2/7vtvnhjeX3ZfURB5xfJrcLtThDPhku2CriCvXPoKqj3VjttNJWQwUtQULY1LdJUkYnuPHuBI30lu+Is/5I9e9kY++dY/IeB1JtchfwBVVxmLjfPhu/+Jw+OnSl7nkto23rr9Zr7w2Hcct+9oX8dbt7zcWg5nZhzblVJEdonG4LLKvfBouq7rSGKJGlR9fgJpPkNRkIypgzLpyfn7mJMLYNTVqnnetOXSkb2yh9V1PWS1Cy/0VsHZIZFI8Mgjj7Bs2TI2bNiA2+1mYmKCvXv32vrQnp4eTp48yZo1a+jt7WXJkiXz1gteSFsTQS62kYqFY0xPOL+HLwQICEgxGaXOHrfVPRq6W0PIGuQtk55zS8jHQpWRAYS0CBkBPPaHpFUpi1c1X8j5SvwWipTgZyfiCzVCSulLKGmVof1jdGxrLVKjFwSB5nX1TBwKo8bUsuMPVVUtH2lTxNPUnzCvI5FIUFVVZV1zLBbD6/VakzLmeMrUqsjlckSjUdsEzfj4OI2NjRaBHh4eRpblknZeFVRwPlAhthVcNAQCAWZm5j60fr/f5m3r9XqZnJy0ls2IrRnlM1OR871r8y2B8mtunbAQMaLz7fm4UHgFN0HZJKg+Kx3YFmGd/Z9ZrwpzNTmF12jWs8LCBbWWLOtmzYZVSGXqNzVN49jzJzh17PRZ3qlxbWkxbaUYxz2JshYoZbGAP01tba3lA1pbW0skEuHUqVNlia2AES3taV5BzWX11DfVc/eph/jmoZ+SyJVP7Vte08UHtr2FlBrhN4P3lxw01XnqeGXPK6hyO2cDOEHVFXxi6SjwU0f2Acbf6V9//j3ufvJB/ufz/8zK5uWO7Z8dOsLH7vky06nSkecrl27lfbtu5c/u+UdHQbMGfw23X/kO233OOBBbn+TD6yAcZaLeV0NoERHbrJZ1PJ6qKWXrwQuRn55sRGYX8r7PEeH86Pl8g+RtzWt5YuR3y9P59wGFVjdTU1OEQqEismR+n8y0ZYCBgeKoZ3d3NwcOHOD48eNEo9Fzti0JhUJMT0/bjrNQe55S6H0BR2tNSFFXEbEFI2orTs6RvXQqUxShXaiXLcyS6LCM2lxwLhn0kIoQuzBD4XLfXqdobSHRddonMZNm/MgULeuK7fZESaR+dTXxaHkdCTMNWVEU4vG4NYbKzyRQVdXKVDPbNTU1We9FJBIhGAxaWhjT09MIgmBpkiQSCeLxuEV0dV1neHiYzs7O8ybCWUEFTqj8uiq4aAgEAqRSKYuY+nw+m3etWRtipnx5PB4jSjXrxWZ21OayafGzUGIbCoWQJInx8fGzrrMsRDKZtGqtYK5zzzdBd8IrGi7jxfIGAoKHoOTDPevBuVgSbT7LwnQnYTZKu5DjeX1eNu/YQENTeV/aaDjKc08fIBYpLSpU8jrRSblSs2Q2Ssp99nVfgiZQlQ5Rk6qmJ7G0bFuv11uURl5VVcXQ0MLsLyRZIuNX+ehDX+LQZHmxL4/k5i1rX87Ll13N3slneGL0iZIkp9Xfys1LXopX9lnqvfNFfJRZxVPZoXbUxJ6j+2zLfWNDfPPx77FrxQ6u7L6c2pARGdZ1nR8fvI8vPvJdVK10pPI9l7yWN2y+gY/c+2VHMSlREPnUNX9EjS+EqqvIgmFDVF44yhkt/gZCnmJiq+saOV1F142UZVMNutTz0nStyA5ovvfAJKbSLLlVdaWk6rTT3rYjlUm3f/nya5hKL6wusILzh2Qyyb59++jp6SEcDnPy5Ek2bSpO1Q8Gg2iaxokTJ2hra2NycpJTp4ozGdxuN+3t7Rw4cIDm5mZb1s7ZYMWKFezdu5e6ujrq6+sZGBggEoksSjwqH5l0hpHB0XO6posBKSY72/6Ecrgm52rYU8lUMbFdRMQWZutsC4kthjqyeB6Jban3v3ASpZDE5vvQloK5T3o6y0xvlNolxZOiskeiY0sLkeMJnCQEzPR6n8+Hqqokk4boVH50Nh6P4/F4LNKaSCTQdd3KaMvlciQSCWsiRtd1pqamqK+vt0jr+Pg4LpfLypCbnp4mlUpVvGsruOCoENsKLhqCwSC6rpNOp/H5fDbLH7/fb7P8MYmtuZxPZE0v3Hyimy+CUAqSJLF69WoOHDiAKIo0NDSQyWSIRCI2n7bFQJIk9uzZw6ZNm8jlcjz33HN0dHTMm4bc42tlJu0tmtE9V5sF8+M5n4iWiY7udtZtXmM9Wyfous7Jo6c4fvjkoq5NRyfuSRhpxv4IWXmBik8OkFSJmlQVNalqQukQkm58/J1qjfLR0NBgS28HI6VqIQPRrJbjf479mh8euYvcPOmjW5vW8idb30STv44Hhh7gwJThKepEbKvcVbyy5+XIoky+a6pIeSKV07LIomtWSKr476DrOk8fLU6RliSRGXGCKz9wK39924d46a5r+PuHvsUvDu8uea6g28ff3vABrurZzh1PfY8DJRS837XtVayfjQZrqOi6RCwXdRSOyie2ToO/ruq2sjWoGS3NWGqagCuITwrgk4v/hpquOYpGGYSzNBnOazUrUOVC1RQ0NMca3vlQKnLrk728d/PrFn28Cs4N3d3dqKrK/fffjyAIrFixgp6enqJ2NTU1bNq0iaNHj3Lw4EEaGxvZsGEDe/YUe3IvXbqU/v7+Iq/ds72+eDzO/v37LbufJUuWnHXUtv/0ILr2wrGLKwVBFRGTElrA3l+oIQVd0A1/aDAsfwpKmBfjZQsgxCVQBJALanprFKTB85+O7JRF5bStMA253DhGURRr4jo6mEB0i1S3FU/Se4JuqnsEwifjRdvS6TSiKOJ2u40a5lTKJhpleteakVcw0o6DwaA1TpiZmUEURYvoplIp0um09U7pus7ExAStra3WmGR4eJhAIGA7bgUVXAhUiG0FFw35lj8+n88iF4XENpPJ4Pf7bcQ2EAhYHX42m8Xv99tk7YGSYgn5WLt2LYIgcOjQIdLpNF6vd8FCQk4IBoO0t7fzyCOPWHY/81l2nG+YaceLST12e9xs3LqelvbyhD4eS7Dv6QOEp8MLuhZN0Czxp7Avck7iT27FRU2qmppkNcFM8KwGHitXruT+++/n8OHDdHZ2Mj09zenTp9m+vbx6c290iM899XV6I+Uju1XuAH+06VZe3HUpiq5wZ9+dnIyUrlUFWFO7epbU2uE40z8bzTDqa3P45dIRnFgqQTRZPJAxrLJEqhv8vONLH2PtletJy6WJendNG1+8+c9ZUtvOQ6f38IMDdzu2e1HXJl67/nrbdWuojmnIMH/EtqeqA6ecdEuSSQdBEEkqSdyix5Gkqprq+GwBjOYLI7gAkigjoZNTsyAIiEiU2s1IRzYvs/QgWRCKayEruPAQRZEtW7Y49s0333yzbXnVqlU2FVfAMcqUSqUsn9t8FNosNTU1FVks1dbWFq1bt24d69ats5Yfeuihs8osUlWVgdMLy0h5IUCKyUXEFtHwtJXiBpFyEpBajJctGO+oGJHQ6gv6PreO7tMQUufHN938FjtNWpswt+Wvy/eudUIh8dV1nZHD48gekUB98SSfp8ZFqMtHrH/u2em6Ti6Xs8Zi5rkEQSCbzeJ2uy2BTzPrLJvNkk6n6ejosI4RiUSoqamxSPnU1BQul8sSlgqHw2SzWevdUBSF0dFRVq9eXfGureCCo0JsK7hoMDvTZDJJXV2d5bFmKiPLsowkSZYSsulVm+9dm2/xY9bZ5qcfz0dsBUFg7dq1rF27tmjbfJ6P+XYM+Vi+fHmRouV8KJzNzScHi4na5hvBLzT1uKW9mQ1b1+PxlPdyPXOyl6MHj88b/VVEhYgvaok/aeLCanqd4Mt6LTLry/nOeRa9rq6Oyy67jIMHD3L48GECgQCbN2+e10Pvi09/e15Se3XnDv5o0+uo9VaRUlL87MzPGU4Mz3tNQVcIl+CyYrWarjtGYIFZnqej6jl09LLCUVMRZ0IpScY70bGshXiTVJbUXrF0K39z/R8T9PgZjU3wt4983bFda7CBj1z+NpvypyAIqLrKTLqMIrKuI4lu4+9a8KdtCTajO0R69dlnIMgiAiKiIBJyVztOAoiiNLdemFtPvr+nUPSPspBlN5quoqIag2NEx99l/t9FoFjVtILfDyiKQjqd5ujRoyxbtmxB2g0LOeapU6cshdn+/n7GxsbmtRBywkj/KLmsk5HOueFcs4lKQYq6yLUUCzQqVXPENlnSy9a/YGILhjpyEbHFUEcWzxOxnQ/5mhj5JDV/2QmFqcuKooAOk0fDuLe4HW2A/E1e1IxGcsx4vubYygwimKVfHo+HSCSCz+cjkUjg9/uta4lGo0iSZJX0pFIpstmsFXnVdZ2ZmRlb/e34+DiBQMBSAh8fH0dV1Yp3bQUXBRViW8FFgyRJ+Hw+SxnZrLM1ia0pQ79Yy5/85d8VUQJzVrdwUFRoFeC0rfA45odyvkGH7JJZv3ktHd3tZdulkin27T3I1PhUyTZZKWulGMc88XMSfwpmAgaZTVXjUYoN6M8VbW1ti1ZhLPckm/x1vG/z6/n/7P13vCT5Xd6Lvyt1TifnNGdyzrM5B8ULso0IxlxhIQSYIGPL8EMyYFlgzEXXFhdz+RGMEYaLdS0krNWuYHe1u7N5cj5zZubknDvHCvePnqrTobrPmbg7q354LZrurqqu7lNd3+/z/Tyf5znSticvCctG+cbQ37JcIeKmFB7ZjSCI1lcmXf9HtUzVnJ5DEiTLwdcOC2H7v5ckSZyfGGcoF0F2Vpacf+bwP+Yzh/8RopCP//n17/0XYtlE2XaKKPPrj3/Wth8WYCVrZxzlwSW7SefS+B3O64XoUqke5NWTJYs+1+N0dENDFiUUyWlVXwuhGhpSwfdTyGvt/6Lmc2tfvIIgIiOiGjlyRi7vUy1I14OXCiSG1jH163Vb+2OvFXv1foedS+33Cy5fvszAwABNTU1s3br1th13ZmaGgYEBNE3D7/fzwAMP3FSLzJ0yjbpTJopisoJEOJCD6XxLT6pClq3H6163mgjI99LqUNr1oQdVmLn1saf0N22Oz4W/lcJKrrn9WqZR5jZm1q3pPQIgSwrLg1EadwRtW3N8nW60jE4mnCOTyVgFBMCaewWDQZaXl1leXiaTyVhOx2bCQyAQKMquVRTFUhNEIhFUVbWuVVVVWVpaYuPGjdbnm5qaorGx8bZ5m9RQQzXcGyyghg8M7LJsC4msy+UqIrJm3poJh8NRFBlUGvlzO1bP7yYMw0DX9SIpcenrQMXXS7ep9HpjSyN7Duxasy9pYnSSi2cGyky4DAzSStois8lbMX8y8uZPdakQgaQfRb+9OYJ3CgICH9/4GD++/WP4FR+CILCYWuQbw39LPFcuAa4Ej01vaLX3xBDI6TmcUvW/3ezyQvn+osCZuQlGVxZt9rgO3eArH/s8j/avyjT/8NjfMLBg73z9c0c+yebG8pV343rl2d44Ki9Ri2UT+B0BKi0dCBVfAUmQcUiuKvtWIoprTcjXT3BlQcFARzVyVh+xeN1RuZTgVjwfATJaCvtPu0rHZxOLnF24wnxydcGk3hXkoxseuQFjKxsYBvoa38lqrFH5drKgkM1mCXjsI6reb3j88cdv6/F27tzJzp07b+sxZVnmscceu+XjLM4tkYiVL0bdLtyJqq0Z+6PVlcT+uHR0RUfMiRWzbG+4z1YXEKMSeqhYGWJ4zIih27NYY2Vm22Tams8VzlWqzQFglfiaC/eFjwVBQMvqTJ9boGNfM6JU/BkEQSDY52XpcgR1WS0ytjTbsRRFwe/3W9XZwrYxVVWtXlpd14lGozQ1NRVl13q9XmufxcVFdF23FpPT6TRLS0trtv/UUMPtQo3Y1nBX4fV6iURWXUE9Hk+RQYbL5SqKAHI6nUVZtoqilD0ujQC6W7iVCY7dgGcX6G4+LnxOEAQr5sccECtNNiRJYtuuLfRurC4ByqQznDt1gbnp+dUnBYg7EoQ9YcLuCJlbMX/SJYKpAKFkkMB186c7JW27E+gNtPML+3+MzfW9yNfjlibjk3xr+FtkdPvvRREUWxMld5XIGztoqNdlyNWl4wuR4oqx5JRp29ddldRmExlmTo2z4yf6kQQZzdB4Zfhd/ufFF223f3LDEf7RtqfRDM2qpBYilo3aVp7N/tpoLk7V2rkgQKVrWZTQdQ2HXP496LpuS/YMY+2Fn4KtzZMoPqWS5wRBwiFIaIaGTv7vq6NbMmVrD6Oa07VIoR1sngQLCKJw/eMbtPuaafc2M51Y4MLiVWYSiyynI5xduMK+5mqVworCdutVu79d2RkKAqpeHn+UNbLIa5i23Qy+/vWv8+CDD9LRUV1RUkNljF4dv6PHv1P3aztiC/mqrbjkJJ3K2GfZ3kDkjwkxIpcRWwAtqCIvVL/HrgfmWF44vpVWZmG1bWo9plGFFV2zT9YwDMuHRNd1krEUS1ciNG4NlVeOJYG6TX7CSxFLhpzL5dA0zZILu1wuotGoZU4FeaNFRVEsP5RYLIamaTQ0NAD56mwkEinqQZ+fn6ehocF6n+npaSRJoqur64a+xxpquFnUiG0NdxU+n4/Z2dUYAlOKbA4GZsXWfOx0OlFV1RrUHA5HUSSQoigYhoGmaUUSmw8qCgfDUrJb+jhUH2Tvwd14/dUjI2amZjl/6iLZTBad6+ZPngiEBFxOJzIKjdy4k6GsyfgzPvxpH56sJz95d4HgXu0lXm/GbiWURvncLnT72wCQBYlnex/kiZ7DSIKEJMgIAozHxnlj5k1bQ6SkmsTAoC/Qx4WlC2Wv30jFFiCrZQEBWZCrUpZcQZXdFXLTtq8b2VW5Gp6YjzJ7dhJd1Tl67l1++PGPMxmZ5Xde/zPb7buDbfybh34SURQREdENDbXELTqctY+yMb+nSGZ1USpv4lS8XaEJky0qGatgYPfLNwwd/TqJEwxhXbFKxYQTlApGVXcLvcEueoPrnxQahkFOz2BgRh/dXBVKQEAWJVS9tHJr2OYZm5idnWVqaop9+/ZZ96tcLse3vvUtGhsbiyqo8/PzvPrqq3zkIx+5qXOsYRXxaJyl+VvLvl0P7sSCpBRVgPKqrOZXUZbysX+2WbY3GPkDeWKLkSkTaOghFW6B2Ja6HpfeMyq5JK8nu1bXdYv4mmoqURSL+20BLW4Qn0zh7yofYySHRPeBduLDaQwtX0k151yQ7781zyUSiRAIBIjH4zQ0NFjnGg6Hi4w+V1ZWMAyDpqa8ZXU6nSYajVq58WZ2bUdHR9XkhRpquJ2oEdsa7iq8Xi+ZTMbqF/F4PBZRVRQFl8tlrUg6HA4r0ieXy+F0Oosifkxia74uy/I902NbDZUmDqUrvJX2E0WRzds30r9lQ9UJeS6b48KZS4xNjOfNnxpXzZ9CjhC/cuBfo4jfn4PRv73/X1R9fVNoC5tCW2xfU3WV2eQUx+dPlr0mIuIQHaSSKRSHUnS95kld+d9d1XMoVWJ+rO20fMUj0FlH8442hCo9kEvX5lm+ulqdf+X02/zAw8/yay99lWQuXba9U3Lw75/8eTyO1YmkKEgooohmqFaVNpIJ276fSWxXMjeW4Vr4eXNaDpdNtVs3jIpRSYX7m2Zd6yO45n73nglU/j4AZxYu0+5totnbcPPHqkJuKyEQCDA+Pk4qlSqSJ7pcLpaXl617P+SJrcfjqfXe3QaM3aHe2lLciaqtqIqIKRHdXTy2af6cJeu3y7L13ASxFVQRISFh+ErkyD4NQzIQtJv/vVcbtwurtYX3/dIe3FKY+5mL+KZCzSSXsDofEgSB5FwGySniaS6XaTu8Cr5egei1pJVGYd7fksmkVZ1dXl62CLXpdJzL5YjH40WV1+XlZerq6qx52fz8PJIkWdm10WiUeDzO/v371/jmaqjh9uH70/2hhvcMhc7IQFGWLVAU+QNYN0yz77aQ6AIWsS2M/LkXcCOTA1N6DOXGE4UDomEYBIJ+HnrifjZu7a86IZ+bm+dv3/o7Xkkd5WznBUYbxwl7IpajsVfxfN+S2luFLMq8Nn2UZK68180tu0GA1195g5f//nuk1RRpLYWmq1WckYV1/S1SuQxNO9po2dVRkdQqkkTsymIRqQV49czbfOXNP+fasr2U8V89+L+zob7T5tQEZFFBvn5+dv21btmDS87/rpdS9s7Nq8crflyU9yiKtgVb3dAq9Kfbi3LzQlw9L6de03Tt3pDKl+L47Hn+fvRNq1pdiJV0hCcef4rP//K/Wdex8uRWXrdDucfjweFwEI+v9p3Pz8/T0dGB1+stajVZWFiwJsGQv++/+eabfOMb3+D5559nairvTG4YBs8//zyXL18u/iwrK/zDP/zDus7rg4xcNsf0+OzaG76Pka/alj6JFQVkZyDlugliC3l35DII102kbgJ2plHVUg5uVIZsHq/UONN8XdM0a24EEBtPkYnYO2M7/DLujnyGrSkx1jSNdDptORkLgmBVZ83jRqNRBEGwjKXS6TSJRMIyjTIMg/n5eVpbW63PMzU1hcvlKvqN11DDnUaN2NZwV2GuzJsGUIVZtkCRLAbyRLbwhl6aXWtGAq2VAXevwq6f1uyBMZ8zV3w3bu3noScfIBCqLM/NaTlevPY9/mjsz7jsuUrMfQuOxjVUhGboZG16b92ym6XFZRKJJDv370BDzX/9wqr7bylEhDX7a+fjS/z94ruEuitX54JuD588fD99jU1lr8Vcab49+Krtfh/f8jgf2fxw1fcXBRFJkIlmo2WvmdXacDpCWiuvBpfCjkDphoEsVCL3FUzT1tFHqpv/Z6wvKqsaHnvsMT73uc/d0jFuF3Y1bsYt27u8JnJpZhOLXFsZZzI2t67jCeRzfddLbv1+f5Gp38LCAk1NTTQ1NTE/n19UMd1TCye9Fy9epKuri2eeeYa2tjbeffddMpkMgiDQ29vL6Oho0fuMjo5+31d7DcNganz6lts63mtIMXtypwXyY79d5I8kiThdN+5mLEbs3+tmiW0pCuchgiDY9tZCsazYDubCmyzL6LpeVL0130NVVQRBKJP6Robi5JL2n8fb7KKpv94irWY7mM/nQxRFAoEAuq5bhQfIy5CDwaBFWpeWlpAkySK60WiUdDptmUbpus7MzAw9PT3ftw7qNbw3uPd1mzXcU3C5XIiiaFVsFSUvxzSJrdlHa1ZsBUHA4XBYRNd8XC3y515BaR9OaZatCZPQmtuUTsC9Pg97D+2hriFU9f0mYpN8a/g5ljPVq2Y13Dp6/T1cWr5U9rxbdjM5NklDcz0NTXVo6EhC9duwKMpIQmUlwvHJc/zqC19lMVdZ5tvT0MiHdu/FpShs2dzD2++et15zBlx07O223W9jfTf/6sFPIQuKleVaCbFcrKhCmMvmkBXZckSeTsyR09cxcSwwC863JCh5ubFUPjlSdRWxwnezHqKaVtMk1SRJNUFCTSILMi3uZoLO0NrneYeQzWaLqi83A7fi4ume+6tuE8nG+X8uv0C7r4lHOw/S4W+uSlxNcqut42/o9/uZm5uzJuMrKys0NTVhGAZDQ0NAfmKs67rVnwfQ29tLd3f+Wty1axdXr15leXmZtrY2+vr6uHjxIktLSzQ0NKDrOuPj4+zZs2fN81lJL6Aa+fP2yD4kMf+by+lZBi8MsmFzH4pDJq1mMC8+l+ypsJhiINgalWnkcjmmJmaYmphGzVX+nvYe2Y3X50FALPlt21+zmq5z6p3T7Dy4HUmWSl5TuTZo72B+L0FMyKBBabO85ldhpnLkj9vjJpMuz8Gt+l4ZESElYpRIn/WAiiHk2xXWi0qmj9Yxry84mIvRpqrsRrJrZVkml8tZvhTm/cFs2yokuiYMHcJX49Rt9SM7y++Rjf11JCeyqFGdZDKJy+Uqcl02DIN4PI6u62QyGdLptGXsZmbXNjU1WaR1fn4el8tlEd2FhQVyuVyRsVQNNdwN1JZRarirEAQBr9dbFNlTmGULefJbLcu2lMgqimINAKbT3/sZmqYVfb5qA6P5XKlZlIne/h4eeeqhqqRW0zVemniFPx/47zVSe5dwuPkIKbW8OumSXExPzrD74C40NBRBXlNloFwnvnay2m9d/B4/880vs5gMV9z/49se4n/bfxDX9RX9zZtWSawoifQc2YAolw8FHsXNbz/9OVxyXjUhiTKK4KjYzxq+fm0d/+5Jvvjxf8dP7/55fmb/L/Jbv/A7LCwsMpOYLzObKr2kn37iGf7lL/4yn//lf0NXazc/8JEf5ML5i/yT/+2HqA800tXWw0/+xD9ncXHV6dnQDb7yf3yF7Vt2EPAE2di3id/57f9Y9H3p6Ki6xkpmhUcefYyf+Oz/zo9/9p/R09LHrr49/OH//4+YWBrnX/3sv6a3uZ/+jRv5m2/9jyKTpNdee43Dhw/jdDppa2vjV3/1V62Ky6c+9Slee+01vvrVr1qyQbO6WG0/yFd6f/7nf57Pfe5zNDY28uyzzwL56uXHPvYxAoEAfr+fhx9+mKGhIY4ePYqiKEUmfACf+9znePjh1cr6yuU5fvSjP0Kdv57WxjY+9uGPs7JS/vufji/wl+f+Fz/0mX9Gf88mGoPNPPLAYxx97ai1zfjYOP/4B3+IjqZOWuvaObTnCM8//7ztdQB5YqvrOisrKywuLuL3+3G5XDQ1NbG0tISmaSwsLBTFhABWrAhgeSiY90q3201bWxsjIyP5856eRtM0OjvLJfKlUA0V1cjhlN15BQz69f8MIrEobx89RiabsXKKdYzrmch60X86Wtlzq6/pSIpE94ZODj24n/auVlKpJCsrK0X/SQ4Rl9dpOaZbqgG0gn8X/9/Q1SFktwySgWaoRf9NjU+TTd+8Y/37BYIhIMXLSZ7u0dBlvWLkT2nf7XphW7WVQPff2vzBVFiZSiqT2JY6JJvPV2ufUlUVSZKsBSJTrVVKQCsthOk5g+mzc+iqfTXf3aGAQyebzVq/Q8MwSCQSeDweVFVlcXGRSCSCJEmWWWM8HiebzVpqC03TWFxcpKOjoyi7tq6uznJdrqGGu4VaxbaGu47SLFuPx1OWZVsoYyvt13I4HEWRP7IsW8fLZrMcPXqUbDZrVQISiQSJRMJaScxkMqRSKUvCpqoq6XQat9ttyYYymQxOZ94NVVVVstms9VjX8wOBuUqq67o1AJmDmqqqeffYgkEO8oNaJpMhmUxaK52lIe6FMuNKcLld7D20i8bm6m7Fs4k5vjn8beZT5RmntsfNOQklg/Sm7St4NawPhqHbym5lTaK5uwWny4GBYVWOrP1s8k/tKpI5TeX/OPrn/I9z3614DrqqM3d+kp/79A/z3YlVEhLwe2lrbWRmdpGO/d24/PZZkF949KfpDrYVPScIglW9NStgJpbSSxz9xpv8+Re+Zj2XTWX5u//xv7h0+hJ/8d2/pKltbSOj//61v+Izn/0pXn7tJcLhMB999uP880//JL/3f/4fpFMpfu1Xv8g//ZEf54V/eB4Q+Le/9m/5r3/25/zuV36XBx58gNmZGQYHr5DVs2h6Li8zvn5sRZQRBYEXvv4CP/Qz/4Tf//Z/4rVvH+X/+sIf8Nbfv8UDzz7Aj/78D/O3f/otfvEzv0Tv/h4e7XucqakpPvKRj/CpT32Kr33ta1y+fJnPfOYzuFwufvM3f5OvfvWrXLlyhZ07d/KlL30JgKampjX3M/EXf/EX/OzP/ixvvvkmkJ8UPvLIIzz22GN873vfIxAI8Oabb6KqKo888ggbNmzgL//yL/n85z8P5Bf0/uqv/orf/d3fBeDsmbN8+JmP8L9/6if46lf/E7Is89qrr+UX/Wzm0d/5yv/Lwugs/+TffYofO/IDvPLCy/zARz/B8dPvsnHTRj73i79MLpvlH773XbxeL5cHBqtKgN1uN4qisLCwQCaTse7Fbrcbj8fD4uIi8/PzZb13dpLFwgW9DRs28O6777J3715GRkbo6upat2GgSyr3DRAFEZfbyfzUAifePM3uh3bkz1OyJ0tz03M0NjeiKMXnWbroKMsy/Vs20Luxh4mxKYYuD5FI5Meovk29AAjrNCbLZXNcuzzMfU/Y54DeLdOouwEpqqDZyIE1v2orRYYbz7I1IYZltNbyBQE9pCJFb2xqbBfRV/i3NQluIYldq32q0C3ZnF9omlYkOc7lckXuyGWfRddJhFMsXa0QAyQKeHtdOOYUi9hmMhlyuRwtLS2k02kWFxcRBIGGhgbr97m0tITL5bIycU1TOFOGnM1mWVhYYO/evdW/uBpquAOoEdsa7jpKI388Hk9Rtq3T6SyqLJiPzcHC4XAUZdeaWbZmJFAul2N5eRmHw4EkSaRSKVZWVqwBIJvNWnlsZr9uPB4nk8lYg4cpzTEHpGQyidPptHLkUqkUiqJYjzOZDLIsW0S2cMApJbaF4e3mQGNuB5WrsyY6ezrYsXdbVft83dB5c+ZtXp16wzZXtBDejIdQMkgoFcSl5icJ7rqbWwWvIY+0Zi+N09I623ZtQUfDIa6vN6w0rmUpGeHzz/8eJ6fKpc4mcsks06fGyMYyeCmPe9qyqZuMG+q6yuOKAH5ox7M8ueE+63Ep4dZ0g+HlKS4sXGVwcYTLCyPsbm/l67/7DdvjXb1yje/+5fP86q/9StXPCrBx00Z+63e+DMB//O3fZc/e3fz73/qS9fof/9kf0d+ziYHBy7S0NvMH/9d/4T/9/n/in/3EjwPQ37+BBx96kGQugW5T5ZZFhU3bN/HPfunH0QyNH/4Xn+R//OH/S6AuwEd+7EMA/NNf+lGe+8vvcOXSFR7te5w//MM/pKuriz/4gz9AEAS2bt3K9PQ0v/Irv8Kv//qvEwwGcTgceDweWltbrfdaaz9zorhp0yaLlAL82q/9GsFgkL/5m7+xfuebN2+2Xv/0pz/Nn//5n1vE9tvf/jbpdJpPfvKTAHzl977C/gP7+f3/8vvWPtt3bAdgIlpc6Q3PLnPm+Xf4l3/7JQJNId5MX+BHf+bHefHvX+Rrf/Hf+dKXf5PJ8Ql+4B/9ADt35XO7N2zot3WoLoTP52NiYoJkMsnWrau5u01NTczOzrK8vEx/f3/VY5TCNKYZGhpidna2KDqoGlySC8NGZi2Sr54KgsDKUphMKoPX47PM0AphmuMoirLmgqIJSZLo3dBNT18X0xMzTE/N0NiSX9wp/l1Xvt9fvTxEXVPINtpmaX6ZWCRus9e9iWp9tpnx25dlCyAkRcgK4Cj+7vWgarvAaHsMG9OoQhSO9bC6cLMeGXLhwrau69Y8p1CGrKqqtSBvB7NgYCQFElMZfJ3liwCSItJ9oB11SgA9b+wpyzJut9vKtlVV1cqu1TSNcDhMZ2en9b7z8/OEQiGLHM/MzADUsmtreE9QI7Y13HWYUmST2Nll2eZyOWsQczqdlvOfLMs4HI6i7NpCd0BRFIseS5JUJNuRJMla3TSPX9rzUuhYWBhWbq64lkqHC18v3L4SmTXfw+75alVaw2uw+8BOepqrV1OX0st8c+jbTCWmbV8XDAF/2kcoFSSYCuLQau7HtxuZCsTW5/ZhCHmZo12+qKEbCGLlCdXFuWv8y+d+l7n4UsVtEotxZs9MoOc0FFlh8NwVBL+AIa9O4No3tLJYb3+tbW/q5xfv+3HrsaqrjKxMcXlhhMuLwwwsDHN1aayoX1YUBDbpbhKRcidoE6+/9vq6iO3+/fus6KOz585x9NXXqQ+UE4mJkQmSsQSZTIbHnygnOF7Fu2qzbOSFyYahIwsyR/YfYU/DXnJGDlXXqG+o58DeA3T7etAMjeaevNNnZiX/dxwYGOD+++8vmkA++OCDxONxJicnrb7QUqx3vwMHDhTtd+bMGR5++OGKi1ef+tSn+OIXv8g777zDfffdx3/7b/+NT37yk9bE8uzZc/yjf/yPbPdt9tbjlFali/ND0+iazv/1I6uLB7+GgJ7Lfy8AP/vzP8sv/fznePnF7/H4k4/xiU98gkP7D9se34TpgFxYsYU8sT116hS6rt+wW6ooivT29nL+/Hn8fj+NjeskmIJsSX8LIQgC7d2txCMJZsfnUXMargrVWs1Q2bp7MzaecGtCEAQ6utvp6G5HN/R15wunUmlGro1w4KF9tq9/kKq1AGJWQkiLGK7S2J98pFg6lcbjLc5ovZksW8ib1IkRGb2pxJ9DMTC8OkLixhMW7DwzZFm2Wg/Wm11rbmPua5pHFc5fzGNWW+DOZDLWAnxmMYcuqAQ6ypUWiltGbDdIT6gkEgkCgYDVUmGac5quyeFwuOi3m81mWVlZYfv27dbxpqamaGtrK4okqqGGu4Uasa3hrsPn86FpmiXvNZ2RM5kMLperKPLH7XbjdOYrW9ls1iK2hY8Ls2xNMyrAWt00BwJzMKmUB1to8gDlxNVObrSex3YVWvN8TIJrV6U1MEg6koTdEZq7mnmm/0m8SnnweiHenT3BS5OvlPUyirpIMBW4TmYDSMbdi0UqzK283bBbwX8/IFPB/beprhEDHVmwH/BjsTjBYLmrtYHBtwde5Usv/xFZrbJR2vLwAktX5qwCkENWqKuvQ0xIaHL+msjkcoxmVmzNmAQdPnvwk/zD0JsMLAxzeWGEq0ujZKq8J0CD14+8xt94vY7lHq/HMpBKxON89GMf4bd+57eKttF0jc6ODkaGR9Z1TIR8/UUQJAQBHA4nAedq75ciyjT5mtkQLK4gtnraWAuXLl1iZmaGWCxm9Y+Kosjk5CThcJhsNsu5c+fo6uqyMiEhXxm5dOmSlfU4PDxMd3e3VS2JxWJcvnwZv9/P7Owsuq7T0NBAb28vzc3NfPzjH+fP//zP6evr44UXXuDVV1+1jl3oZloKp+SgxdvAtqYtPNC2h8HMWURJ5LP/9VcQCq4JCYGPbHsMgJ/89Kd4+pmneOH57/LySy/ze//xK3zlK1/hF37hFyq+j3mf9/l8RRPcpqYmVFXF7/dXPc9K6OvrY2Bg4KZMaUrvwQCSLLNl70bae1vxuDzIYvm0yDAM9OvGaXaT9fnZeTRdo7W9Zc1zEAVx3dXawYtX8AV8th4KiViShdnF8p3eA1TKXr8ZSFEF1VWyMCgb6B6NVKKc2N5Mlq0JW2JLvmorrkFsqy1wF8KuOlu6CF6KQp8QwzBQFMVSkZnI5XJW+1OlY+i6bsmFAWYGFpBdMp4Gm8qtR0BuAm1Ms3ppzTYtp9PJ1NQUwWCQ5eVlgsGgdS7z8/OIokhbW/5eGYvFiEaj7Ny50/a8aqjhTqNGbGu46yjMsnU6nUVZtoXENpvNFhHb0uxa87EZTF6YZVtosV9IHmE1QqfSY3Of0seFA3fh8czHpQN76TZQPLGyI9g6OjFXnLA7QsQdQXLKfKjnafY0Vh8kIpkIfzfyHUaiY9ZzsiZbEmN/2lfR9OdG8corr1iGEGNjYwiCQH9/Pzt37kQQBJ577jn6+vqIx+NMTU3R2dnJ4cOHmZyc5MKFC8TjcVwuF5s2bWLLli3WcVOpFCdOnLDcFXfu3Mn58+fZvHmzJcP8+te/zv79+5mdnWVubo4tW7awfft2Tp48yfz8vBU639/fXyTdPHbsGNlslvr6eq5evYqu62zevJlt27Zx/vx5RkZGkCSJnTt30tfXB+QnBmfPnmVycpJsNovL5aK/v59t27at+R2lKhBbvxJAFhy2E5pYNM7K4koZsc1pKv/5zb/kr858p+L7yaKEO6JzdbA4vkWRZVraWpAuSmievHz/1auXiGcrSKUNnV964T+s9fHK0OIP0t3fRaDBT3QpZrvNE089Yfu8YZTn14KAgc6+ffv41jf/jt7enqKJobnPxk0bcbvdvPK9V+j79E/e8HmvF9u2beMb3/hG0e/3tddew+PxsHPnThobGwmFQpaaZGZmhtnZWfbs2cPzzz9PIBDgypUr7N69mzfffBO/308sFiMQCODz+QiFQkQiEUZHR9m4cSO7d+/mT//0T1lZWcHhcLBt2zYymQxXrlzB6/XS0tLCT/3UT/GjP/qjdHZ20t/fz4MPPmid765dO3nle6/w67/5b+0/kAGKpPBI9yGaf9DPX3/xT/BkFDybi6Xp78Qu4Jnzsq9lG51dnXzmsz/FZz77U/z6F36TP/mTP6lKbJ1OJ5/4xCfKnvd6vZZkuhB2z9ntn0qlrMrtjaASiRAR0dHwh3x4ZfuoNK2gn9zuONFIjIvnLhEI+tm4tZ+OrvZbjp6LReNMjk2x8+B229fHht4/1drbRWohL0dWm8vvT5pftTWQMrNsb4ZcizHJ1olZD6kwfWMxQnZ/79J5CKzfNMrctzDO0FzUN82kzKKAHUxDzsLCgK7rxMfTOD0OJHf5fMBZr9C6uQkn+X0SiQSGYdDR0cHY2BiTk5PEYjE2bdoErMrzm5ubrXnZ9PQ0DofDIro11HC38f4rddTwgYdJbE1n5EJiC6vZtWZ/iCm/MZ2Rzexak9jayX0KHwNlj9cisqWD1HqILqwOOIWS5WrQdR1N0Fh2rzDcMMrZzgtcax5m0b9EV30XP7vr02uS2jML5/i/L/wZI9ExnDknrdFmtsxuYvfUDnpWugimA7eN1JoYHR1FEASefPJJ9u3bx5UrVxgeXo2cuHLlCqFQiGeeeYbt27ezvLzM22+/TVdXF88++yw7duzgwoULlsMp5MlnKpXiscce44EHHmB4eLjIVMzExYsX6ejo4Nlnn7VIqNvt5v777+fZZ59l+/btnD9/nomJ4omfSXwff/xx9uzZw8WLF3njjTdQFIUnn3yS/v5+Tp48aRmRXb16lenpae6//34+/OEPc+TIkSIH12rIqPbE0SN7cFTIpL149lKROzjAcjLCz37r31cltQG3hx+77yGkZLnUUpFkAkE/Tt1FOJnklcGLjC1VrvLYVXHXg5ZACNkh82Nf+GHb637Hru186qc/te7jCQhousbP/oufYWV5hX/2Yz/BieMnGBoa5rvf/Xt++tM/jaZpuFwu/tXn/xVf+NUv8N//8q8YGhrm3Xfe5c//63+zjvXs0x/iD//L/31Tn8vEz/3czzExMcEv/MIvcPnyZf7u7/6OL33pS/zIj/wIjY2N1qLH+fPnmZycZGBggJaWFv71v/7XTE5O8nu/93vMzc3xta99jd/4jd/gp3/6pwHYuHGj1W7R29vL4uIi2WyWn//5nyeRSPDFL36RxcVFpqameO6551hZWbH8CJ599lkCgQBf/vKX+cmfLCb1n/+Vf8PJEyf5xZ//Jc6fO8/g5UH++I/+mMXFxXzPPwAGGAZbt23lR3/sR/ib3/wzukY89KiNLA1Oc/Rrf8/lNy/w0vi7/NOf/kle/IeXGB0Z5fSpM7z26mvrWuC5nTC9Dy5evEhnZ+dNyRwNG78Bs3qqCA7bWC3d0KxqbaXMZDNuJhqJcerdM3zvhVcZHR6v4tBvHqcyERs4fxmHU6GlvTx3OpfNMT1m32ryXuF2ZchLcRm7CGotkKuaZXsz5FowBEQboyjDpaM713ZHXu97liq1oDKxLXRULvQUMRfwoXyR3w6m4s1EKpVCkiScipPkeBYtY//56noDCN78HyAajeLz+XC73TQ1NbG8vGwZSUGe+CaTScs0yjAMpqen6e7uvmMqrRpqWAu1im0Ndx2KouBwOCxiK4oiLpfLmtSbfbaFpKY0u9a82Rc+LpxEFK5ymo8L9zedBgsfF75umkqZKF0NLs2VNau+hduYRNisNBVKknNijhVXmBV3mJgrjiGs7qeICk93PcGhlv3VvkbiuQTPjbzAxNwUDal6QskgLtWJQL43xi4ephpuZMXb4/Gwd+9eBEEgEAgQiUS4evWqZQbT3NxcVI195513aG5uZseOvOuo3+8nGo0yODhIX18f0WiUubk5nnrqKcu9+uDBg7zwwgtl793d3W0RWhOFsiefz8fS0hITExNF5hUOh4N9+/ZZ5zw4OIiqqlZv0NatW7l8+TKLi4t0d3eTTCbx+Xw0NjZaMVXrRUa3J7ZexZO/VgzpeuZr/vuem5lnfnahaAV+YH6YX/7O7zITq0xEexua+ciefXgcThRWCXN/Ty8dHe2EmkL8x9f/jKGlcbK6ioyXrY0b1v051osDHdvxO118+BMfYlPvZl77f99gZngGxa3w9FNP85mf/ef8w8xR5oeW+Jf7P2tDDwrCa69DEiXa29t55fXv8YVf/QIf/dDHyWQydPd088wzT1sVkF/74v8PWZb50m9+iZnpGVrbWvnMT38G4/pRR4aGWVq8NclmR0cHzz//PJ///OfZs2cP9fX1fPrTn+af/tN/yrlz5wiFQnzqU5/il3/5l9m+fTupVIqzZ8+ye/dua78/+ZM/IRAI8OlPf5qf+qmfsszqTPj9fgzDIJ1O09DQwNe+9jV+53d+h8cffxxJkti7dy9f/vKXrfuSKIp86lOf4rd/+7f5iZ/4iaLz3bxpI8+98By//sVf56H7H8btdnPo8CE++SOrVVHDMPLGcobAn/zZH/Mffvt3+Hdf+HdMT03T0NjAjn072fHsVjRgKjbHZ3/251iZWyIQ8PP0M8/w+1/9fe4mxsfHOXHiBKFQiMOHq/f32kHId1UilCzyKaKCbui4JW/ZawCZXAqHYk6VyvcHkCS5SGYOMDE8ydzkPJ09HbR3tSEVSUarE9t0Kk0uo7JlxxYUqXwhbHZ2nkBg7RgV04H/buB2VW3N2B8tUNxOo3s0khH7z+Lx5rNsb6pqG5bR68qdmPWQijhnT87sFr7LjlvwXKGPR2GWrR3MeUthXm1hddY0jTILAHYwiwDm4o9pcOn3+/PfkQrT5xbo2NdsG/UmNBrk0lnS6bQVp1VXV8fc3FxRn+/8/DwOh8PqdTd76mvZtTW8l6gR2xreE5RG/thl2RZm15Zm2TocjqLtZVkuysYtfSxJUhFRrlSxLSWphY+huJ+mUP5svma6F8LqAGXuk5bTrLgihN1h4o6E7eJ/l6+DH9zwcepddeUvFuDqwjWOnzuFK+pkm7a57PX1DPCl29zIhKC+vr5oUG1oaGBwcND6TksnedFo1Ap3N9HY2GjJgmOxGIIgFO3n9/tt8/lM4luIq1evMjo6SjKZtHqLCjMxAYLBYNE5u1wuq5cI8tdA4XXV19fHa6+9xgsvvEBrayvt7e1FjrfVYOeKLCDglPISrzy5zedparrGhTN5h+P09crPdy4f5Usv/xEZrbJTzQ/veZb2ZplELsO1hVmSbp2+BzeyobuH7/zEn+CU7SvDdxy98Muf+HzZ0z9Z/2NVdzMMgxe/9yJgkNNyKFL+d7Rp00a+/o3/AeQnezpaUVSKKIr86q/9SpkxlWHoGAZcvjZwfV8NBIF/ePnvgfy1b14NV4YGy/TQGS1d5Iz66KOPcuzYsbJzjsViRCIRvF4vf/AHf8C2bds4d+4cPT09RfuZ1+f27dsZHR217kdmb2zhvQTyCy1/+qd/WuQoPDo6WhSFZsYJlcr+DODRRx7mtddftfuiefHlvy96SpZlvvjrX+Tf/sa/zX/igu8ilknwwFf2c35hkBZvAx/b8CiyqKzpiny70dfXV7agtV4ICLhlny0RcElu/FX889xydV8DgP17qy9C3ijcfh/PPPNMxdeDm+rZvmntHkZN03juuefuGrm9Xb22UlQpI7YIkMDeAdrtcbOyFL6p9xajMtYqWAH0oApzleXIdu9VOqeoJEOu5oZsypBNZZo57ymcVxSSXjtkMpkiI01zTDPJsaqqxFcSRIYThDaV/y4EAZQ2AdeU0xojTYNPVVWZnZ2lpaWFhYUF2tvbrc83NTWF3+8vG/9rqOFuokZsa3hP4PP5iiZopZE/LperLPKncHBWFKUo29Z8XBgBFIvFipwJC4lrYQxPKXEtfGzCfJzL5YrIra7rlkTIPJ71HrJEVIwR9uT7ZVOKfd8lgCRIPNbxMA+0HanqlpnNZTl3+gKz43ME8FfczjwHu77fUlOrO4H1ZkvejmOPj49z7tw59uzZQ0NDA7IsMzg4yPLyctF2dpPaasZTdXV1fPSjH2VmZoa5uTnefvttWlpaeOCBB9Y8R7sMW7dcHMsgCAICEktLyyTi+d+CIRl85fW/4C9Pf7visRVR5pH+A4xGJ/mH4VHS6nWlQYuMnwAN/rr3jtTeAgRBACNfuS1UMBTClIQWf4/5nttq21uodslbrxXkTyKiVJCOm+cRCAQIBAJ0dHRw+vRpIpEIDoeDWCxm9aJD3lTFzH51u90sLCwUGauZizvrkdhGIhHOnz/PX//1X/O//tf/KnvdKd+MTNcgo6XyX4MhIAoCCAJ+p5eHOvfzYMc+RiKTvDNzniNtu3BxL0WCCbdNKnsvQZKksrHzTuK2GUhViP2JSVHb5wudkW+UXAuagBCTMALF9wrDq2PIOoJaPEasFfEDxfF9hWPMWtm1hcTYrMiqqlokOVZVtWp2rRk3WKgwSqfTRcaa5qK/ojnJzRs4WmzGRlmkc28rQiQfAxQOh1EUhWAwyOjoqBWtaC5Yq6rK3NwcO3bs+L78rdXw/kGN2NbwnsDr9bJYIA/0eDzMz89bj82KrUnQzIptaZat6S6oKEpRJFBhxI8sy0XOyGbeLKxG+JRG/BQSWXNwkSSpaHvz/U1IkoSma6woYSKeKMuuFXJSdTdZgBZPM5/Y8HFaPNWjLxbmFjl74jzpVGWCbML8nm6lKlsNpaRxaWkJv99fkSgGAoGivzfA4uIiPp8PURQtGebKyopVkY3FYkVV+kpYXFykoaGBjRs3Ws8VLnrcChRFobu7m+7ubrq6ujh69CiZTMYy5KiEjGpPbO3Q1NzErj07eOf0Sf7g2v/kwvKw7XaQJ3GiAm9Nnr6xD3IPQdVVFMEuRxREpOtqijt5BgW/lypM2KzUhkIhZFkmkUhYuZLt7e1MTk7icrnweDwsLi6STCata7SxsZHJyUmGhobo7Owkl8sxOjpKY2Nj1UqMiR/4gR/g2LFj/MzP/AxPP/30rX9krqsIEK3PbBgGgsH16m2e6PaHuukPdZNTy6Wb72fYyYdreP9CyIgIGRHDWdxsm3DF1syyvZkxTorIqCXEFiFftZWWqv8e7VITTOOnQrO59WTXFhpgmhVfwzCKsmtzuRwul2vdMmRN08jlckUKplQqhcfjyc9ZIgYxLYm/vVyZILskNDGDsKAQjUZpamqipaWFSCTC2NgYfr/fquiazu2mUqWGGt4r1IhtDe8JfD4fqVTKGqTcbje5XM4ySXC5XOi6bq1WFjojOxwO60afy+VwOp3Wiqa5f+ljczApdSQsJbZmVEehKyEUV2zNCq3Zx5vVs8Q9CZZdK6w4w2ji2qYTkJfHPdR2P492PIQkVndIHDg3yNjwePXjCULZIHqnqrLJZJIzZ86wYcMGwuEw165dY8+ePRW337JlCy+99BIXL16ku7ubpaUlrl27xv79eQlfIBCgpaWFkydPsn//fkRR5OzZs+syoPD5fIyNjTE7O4vX62V0dJSVlZUb6om1w+DgIG63m1AohCAITExM4HK51kU87HJs3bIbA6NI3mpiyZPkj8PPE87YOwoDiKKAwyF/4FfDdUO3jVyxnGnNauK6sNq7axf1ciuQJIlYLMbs7CyapuF0Ounu7qaurs6S7I2NjVlkd/PmzZaZiyRJbN26lbGxMc6fP48oijQ0NFTMwy1FYbTP7YRjnZVeZR2/gfcTXMq9VF2uQUDIuyM7ixc2dUW3nO8L4fEUX7c3WrUVwzJ0ld+z9VAxsa0U/Vf4XKVt1pNdq+u6pTgTBIFcLmdJkmGV+FYbg8zqrPk+pgzZvPdks1lyuZwlFzYMg9nLC8jOVtwNNgu2Dp2cP4WmaZYiqrW1lcnJyaIc6qmpKZqbm6s6NddQw91AjdjW8J6g0BnZ6/UWOSP7fL4ii3rTbArKia2qqkXEtnTwKH1caLpQKPMxDR3Mmz6sGkgVSnhM8o1TYMW1wkJgkagrVlE6WQkNrnp+cMPH6PR1VN1ueXGFM8fPkUyUS8nMAbRUBl26TelK8u0guz09PWiaxssvv4wgCGzatIkNGyqbEtXV1XH//fdz4cIFBgYGcLlc7Nixo6hn7vDhwxw/fpxXXnkFl8vF7t27iUQia5Lb/v5+wuEwb7/9NpA3l+rv72d2dvaWPqMsy1y+fJl4PG71/z788MPrIkd2xNYje/JV6XSUwcURBhaGGVgY5uTURRZjEZujrEKSRBRlfU7b9zQMHUmwH5Zmp+ZwuV3U19fZ5QPZQCj639LvLqdlQchX8/LZojf23Xo8norOwIIg0NXVVWReVgqv12sZl9mhUIFgombKUsP3C6SogtpYrthJZBNl5KmwYgs3vqAr5ESEpIjhKcm292sYooGgV4iKsonsKzSRLGxxMknrWtm1pjmTuThWqA5aT3ZtaQxQOp3G7XZb+ySTSSRJsiq66XQaVVXRFgQML9hFrMsBkbatzWVtEktLS+h6frFhZWWFI0eO2J5XDTXcTdSIbQ3vCcxeM5PYmjfiTCaDz+ezbqCZTAav12sR2Ww2i9frtaqmJgk1B4NCx9BCZ2OzwprNZvF4PJa8OZ1OW4OBCUmSLKKs67o1aKXENAvBRZadK8Sd9uZP68Hh5oM81fWYZY5jB03TuXLpKkODq7LUUiIL2JLZQtwpKbIoiuzbt48DBw6Uvfaxj33Mdp/Ozk7LYdEObrebRx55xHqcTCat68GEXdalJEm2Lqm7d++2/m33+uOPP1713Pv7+y2X5xuFSWwzqspKIs5yIsH5sTn++K3nmY3nJdn5iYuGqtpkWxRAUSRkeX3RCVpWJbmcWHvDm4SZB/zQQw/dkeOrhmpbrVU1ldmpOURRyBPbdcCU1uo2ES8AiuQgo6XJFThYi4KIiIggiEiChFKlB7uGGgBGRkY4c+aMlbl74cIFpqenq5o/1bA2pLi9qVNCS9BEcQRSYY+tiZup2mqeEiItgh5QkcKrY3XpMe0WkwvnHSaphfXJkE0iWym7tjDCpxSmIZ05f8rlcmWOyqlUyppjKYpCNpulubmZ+rp6iAEOFUkpv++5ezxIKZBVJ6qq0tnZSTweZ3Z2FsMwaGxsLDOIrKGG9wI1YlvDewK3O2+kY5paOBwORFG0ZDOmfNi8UZt9tGb/iNlnWxjRU5pV63A4ipyQvV4vkUiEVCpFLpezjKB0XcfpdCLLMslk0lpZNTBIuzIsyItEvBGScnmG3noh6AKdRjsf3vwMbQ3VnXUj4Shnjp0lFo3bktnC1eG1UMlE6v2Iubk5VFUlGAySTqc5d+4cXq+XpqbyHMf3O85OjnN88hIJmxxeyP9dslkVXa+2KAEOh1xxdV6RJFocdbTrjbRK9fzVK3/HyNQEjo3rvz7eb6jUC2n+7oOhYFXDr1LkjdgEdMO+PcApudANHe3667qh52OYDMjfWQzc3JqkvYbvL2zZsoVNmza916dxz0PQBcS4jO4v7ueOU96uIYr5LFszTxhufBFXjMho7eUVYj2YJ7aVTKPWs7Bc2gJV9h7XjS0laVWVU1qdXY8MOZPJFPXfplIpKycb8tVZXdepr69n3759N3QvBSCU/x87JcrdzrWuoYZKqBHbGt4TiKKIx+Ox3PkEQVhX5E9plm3hY6fTSSqVssicz+djcXHRMp0y3QQLpTjma1bfrENmQV8k7o6z5FghI9kTk/VA0iTqMyHqUnVsbdrMzj3bqwaqG4bB0OAwVy5ds76TwtduBmbQ+71AbA3D4Pz58yQSCWRZprGxkSNHjtz44Ps+wGwkUpHU6rpONqtWNUAq7ad1y062NPaxtWkDWxv7iOkLpNQo/oFQfgIoimjpPDnzNrx/iZipMKj0N5VEGSiRAxo6sizhcCjUNdhXayv1LhsGiIKAgLzao1sCt+wmqSZtK7uqfm+ZJJmYn59nbm7Omtg2NjbWZMx3CdXu8TXcGKRYObFNqtWzbAtxI4u6QkqEjADO4u31oGp7f6mUOmBHYtfKri2t1hqGUVadzeVyVu+tHcyF+sLs2nQ6jdfrLSK6iqLg9XrvyXG1hhrWgxqxreE9Q2mWrcfjKSO2pY8LI4IcDgeRSMQisoFAgGg0SjqdxuVyWe7HpoOvaZGfy+UIBAJW7E8kEWFOmmfZucKifwlVvPnJrFN1UJeuI5Dw48t48Xq97Ni7jZa26o7H8ViCsyfOEV7O91ra9cbCzRHc201q7SS8twOtra186EMfuiPHfr9A0/KkthocisLu9s3saNrA1qYNbGvaQHewHalgIvI/r30d55wL0RDx1/no39qL8ryM4nHQsr296vENw2BwcJDh4WGSySQul4sNGzawfft2wuEwZ86cYWlpCUmS6OzsZM+ePRUn65qmcfbsWSYmJsjlctTX17N3717L2Xp+fp5XX32Vhx9+mAsXLpBMJnniiSfw+ytHVZVCN3RESWLrzq22kmzDuP7/qvTICgJISOiGbuN0LOCW3aRyqbLX7MjyvYBUKkVrayterxfDMMocyWu4MQwODnLlyhWy2SzBYJDdu3cXGecUwk6KPDw8zODgIIlEAq/Xy6ZNm6we6pdffpnGxsYi8710Os23v/1tHnvsMZqamtA0jfPnzzMxMbGucyhER3c70Wi0qN3mXoEUVci1FzvMJ1T7Vgszy7YQNxT7g4AUkdGaS5IMZDD8OsTLF4hLH9tl15qoVq21S2OA8uzatWTIZha7+RhW/UxUVSWVStUyZmv4wKNGbGt4z2BWVE3YRf5Eo6u5dU6nk+XlZSv7MRQKsbS0RDwex+/343a7URTFyr81HY41TSMYDFqRQMvLyyRyCSKeKPPORZaCSzds/lQIT9ZNKBUimAzgN3yIgoiu6zR1NLJr/06czuoOoqPXxrh88Qq6tpqzC/mBsVR2fDOyYjs58r0iT/6gYD39tJIg8s8P/QA/c/hHi0hs6Qp9PBcnlUuxwbWR7kc6CdWF8Mo+cppKz+E+JKV6P+65c+cYGRlh7969NDY2kkqliMViqKrK0aNHaWho4KmnniKdTnPixAlOnz5t26NsHmtqaorDhw/j8XgYHBzk6NGjfPjDHy4yPTFzhguN4eyQ9zAu+LzXL1EREUkRK1QrDATENUmoIAhIiIQzYQQBvIoX0ZI+i3gUL2k1VURtRWF9vc3vN5RGbqwVT/V+xde//nUefPDB97x3LxKJcN999+F2u5mcnOTo0aM8++yz61qgGRsb48KFC+zfv59QKEQ4HObEiRPIskxvby/d3d0MDg6ye/du6/qemJjA7XbT2NgIwKlTp4hGozd1Dhs3b6Cjp52RqyOMXBsrUjndDdzKWCOmRYScgKGs7l+N2N4qxLANseW6HDm+Ol1eSwVVqrYSBKGq4RMU99+appWFsmTTJ8QO+daWbJFpVCqVKkqIMIsEt5oWUEMN73fUiG0N7xm8Xi/j46sRNqYU2RwI3G635VKsKAr19fVMTU0RiUSor6/H7Xbj8XiIRCKoqko8Hrd6VVwuF4FAAFEUmZ+fR1VVVKfKnLzAVMsUMUf8ps2fMMCf9RFKhajP1OHWV40aDNFAdsls27WF9q62qodJJVOcO3mBpYXlsqie0gn87Y4qqZHau4f19NM2ekJ86dmf4UD7TmRRqpqfuphaoNPXyY4NW5EFGY/sy/ec93jx1FeftORyOa5evcr+/fstaarP56OpqYmhoSF0XefIkSPIskwwGGT//v288cYb7N69u8wRU1VVhoaGOHToEG1t+Wv94MGDfOc732FkZIStW7da2+7cuZPW1uq95QCaoWEUSJFVXcUwdEBAFmVb8qrqKkLe29j2mKX7+J0+RqMjfG/yRepcdTS7m2lyt+B3BACDeG51MU0RnQSd936FI5PJVDWuea9RyXDp4x//+Lrite40Cq//rVu3Mjs7y8jISJFBXSVcvHiRvXv3WsZ5Pp+PaDTK0NAQvb29dHV1cebMGRYXFy0/gfHxcbq7uxEEgUQiwejoKB/72Mesit2NnoPT6WDrzi1s3NLP6PAYQ1dGymS7dwq3MtYICHl35IbVlqS0msqrOITKWbY3/X5xCVTKZsZaMIc06Si6lxQ6H5sL0KUy5LVaL8xKLFSuzpptVGaagx3Mli1zHzO7NhgMWtskk0ncbvf7+j5QQw23A7UrvIb3DD6fD1VVLeJqyuaSySRer5eGhgaGhoZYXFykra0Nh8NBMBhkZWUFv99PLBazbuCZTAa3201dXZ0lo3Q4HUSJMle/wIBjkKTj5s2fREMgkArQmGvAn/Sj6LJVERbk1cGmvqmevQd34XJXz4OcHJvi8vkr1oBUuKprknOT7N4uElqr2t49CIJAnceDW3EytbRcldTubtvMbzz9GRo8QRSxeBJvN5FZSC+wqW5jEal9efhdPJ1rV4+i0Si6rttKGGOxGMFgsGji09DQgGEYxGKxMmJrLiSZVSXIT/Lq6+uLlBbATcvfREFER694nWYyWSRFrLoQYIfeQB9excsbM68xlZgEwC17aHG30u5tx3Hdsdzg3jXiMmFKz83M6HsJ1aSXdxNvvfUW4XDYemzmFq8Fc8H1+PHjnDhxwnpe13WLyLhcLlpbWxkbG6OpqYl4PM7S0pLlOG+227zwwgtFx17vORRCVmQ2bumnb2MvE6OTXBscto2Su924lbFGislFxNbAIKkm8Sm+ou1Ks2xvBgICYkRGbyhpF3EaGG4dISVV/CyFBNe8bxcqrkoXp80+2kKPD8DyAjHvw+Y2a5lGybJcll1b6I5cSHRr434NH2TUiG0N7xmCwSChUIh0Oo3T6aS5uZnGxkZisRihUAhFUejs7GRmZobW1lZrFTMSiXD16lUgP/HJ5XJ4PB4aGhrQDZ1ZdY4BcZCoGCMlpMC3xolUgKRJNOTqaco1EMwEyaVzFtmUZMlyOzT7Y3bt30HPhu6qx8ykM1aVFioP+NWI7c3029qZSNUGtzuHp7bt4PiEwOuXL6NWcbH+oV3P8DP3/2MkMV9zlEV5zb+LiEDIUYdHzpuCjIdn+O2jf7yu81orE/hO4WaqBKquXv8+RMBesSDLErFoDF/A/ke+OL9EU0uj7WtN7mae6fowr0+/SjgbJqUmGY0NMxobZoO2ke7uLjRDs60O3Us4depUkTeBHVRV5eTJk0xNTSHLMlu2bGF6eppQKMS+fftsJcHf/OY32bt3r5VFnUwmOXPmDHNzcwiCQGNjI/v27bOkj/Pz85w7d45IJIIoigQCAe677z7m5+e5dOkSkJceAxw6dIi+vr6y912rB9yMo2psbOTKlSvouk5XV1eRA+y1a9e4cuUKyWQSRVFoamrigQceqPr9HD58uOx3uZ5r2jQFOnjwoNV3bqLweu7u7ub06dPs37+f8fFxa2w0jyEIAk899VTZb+Bmq2+SJNHb30PPhm6mJqa5dnmIaKTcbfh24VbGGilWHvuTVBNlxPZ2VGwBe2JLXo4sXie2JmG1kyQXVmerJRiYC9hQbDiWy+Vss2ur9eiqqlokSTfnVOb1kUwmLcNOoCgtwg53OtathhruJGrEtob3DIFAoEx69sQTTxQ9bmho4Pnnn7cmIibhczgctLe3I0kSc4tzTGQmGdZGmRXmyAbKLfvXC6fmpEltpDHXgByRkUUJh8NBNpe1BjRJkooMIoKhALsP7sLr81Q99tz0PBdOXySVShcZRRSikMzarfDeLROpTCZj9TLXcGPQDI255QRzi1k2N26w3UYSJD596Ad5rO8QCTU/ocxXa/NdphWPrWv0+HvxKf58HJWa5Qsv/z7JXLriPoXw+/1IksT8/HxRPrD52ujoKKqqWhOipaUlBEGw7ePz+XyIosji4qJFXnRdZ3l5+bbEnZiyv/w1by/BE0SBQDBQ8doeGxljfm6e7bu22RJjr+Ljqa4P8fbsm0wlJqznh7mGa8ZFc1sTk4lRpJJeW0mU8co+eydmdOI5e5KwkFxiU2gzGDp/OfjXZPXifr4GqQFv1EW6Lo0hF0+KvbKXQ82HCTpDCAg4pbUrVKdOnWJ6eponn3yy6nZnz55lYWGBBx98EKfTyfnz51lZWbHI1VrQdd3qz3788ccRRZFLly5x9OhRnnnmGQRB4M0332TDhg3cd9991nUC+eiQSCTC7Owsjz76KGDvLLzeHvCFhQXcbjePPfYY8Xict99+m1AoRH9/P8vLy5w+fZojR47Q0NBANptlYWFhzc+Xy+VuSnXgcrlwu93E4/GyvudCdHR0cPLkSWZnZxkfHy/atq6uDsMwyGQytz36TBAEOrs76OzuYHZ6jquXh1hZWrmt71H4XjczbgmaiJiU0L2r5leJXAJKeOzt6LEFEKNy3pi9ZHjWQyrCnKtM9VQqQzbHdXM7SZLKxnOzWmvCHGfN58zr35Qhrye71iTDqqpaviLmMVKpFB6Pxzq3QlPOGmr4oKFGbGt4X8N0+YtEIjQ1NVnOx1PzU4xoo8xos8z4ZtF8N+/46NO8NGlN+CIePKoHryc/Sc86slbuWyHMnFtZkenf3MeGzX1V+19z2RwXzw4wNz1fdAxRFIsGutIqbak8uRC3y0SqEpLJJM8999wNS90WiXBKuEpMqD5wOg2FvUY/HTSUkYPGtnr6tpRPAkVDZjEVZiQ8xdjKNKPhKcbDs2XkAPI9q//p2S/gkO9+9IYkSHzh4V+Ch9e3vaeg8mAYBhmt3J3XRDQXpcndbG7M//nWX3Btedx2W9tzkyS2bt3KuXPnrBiYTCZDJBKhp6eHixcvcuzYMXbs2EEmk+HUqVP09PSUyZAhXy3q7+/n3LlzOBwOyzxK0zQ2bLAn9OuFbmhIYn6yJyCi61rZRNPONbwUwbogF89eQtM0du3daV/1FWUebn+U80tnubh8Pv+kBAO5iyjL+6irD5ZHBekZVpaXcYlu6urryhapREEkrZW3Pujk0A0NQchLKqcT00Wvr0gr7Jzfjjqmk6lPkWpKYij53/4iC4zFR9lRv4Mjzffbft7C7+by5cvE43GeeOKJIlOZUuRyOUZGRjhy5AgtLS1AvkL53HPPVX2PQkxMTGAYBgcPHrS+40OHDvGtb32LhYUF6urqyOVytLW1WQsqgUDA2t90sK82gR8bG1tXD7iiKFaFNhAI0NbWxvz8PP39/SSTSWRZpq2tzWp/WQ9hvXDhAn19fYRCITKZDPPz8wSDQdrbqzuQA+zYsYPTp0+jKAptbW1omsbKygrZbJYtW7ZYn7+9vZ0LFy4QjUbp7l5V/vj9frq7uzl27Bh79uy54XNYWlyhrjFYdRuA1vYWWttbWFxY4urANRbmbq+T9i1VbaNKMbG1MZASRRGX20k6dWu9w4IuIMYk9GDxnMLw6BgOAzKr72e7f4Gk2NzOlBObMB8bhlFWrS2szppGX2vJkB0Oh3U+qVQKQRCs34O5SF24+HgjxNa8lwwPD5NOp/H5fGzfvt3Ksn3xxRfp6uqyPBXeeOMNZmZm+MEf/EEURbHmEh/+8Ifx+/03pZiooYYbQY3Y1vC+R2NjIysrK4g+kSFjmFHXOHPtc6Vxl+uHAXVGiEDcTyARoNWfn8xlpSzJTNIaTEwnwsKVV8jf6Osb69mxdys+f3Wd8+L8EmeOnyOdSlsDWGkfbSkqVWntHt8pCIJAMpksimOqhgw53hUuMyCsTbK2Gl0cNDbjRCJMuOg1SZbYcd9msnqGycg8V5fGubI0zrWlCa4tjZNS1zdp2dq44T0htbcKy0TMsCdrirB6y37+6lG+PfjqDb/H9u3bEQSBCxcuWNFY/f39yLLMI488wpkzZ3jppZeKpJ6VsHv3bgzD4NixY1bczyOPPHLLhj95+e91YlvFDXQtNLc2cfEsDF8doX9rHx6XB6GCrHhXwx6CjiDvzr2dN7GSDC4kz7LfcQCvr9yUyxVwMnllkhNvnqaxqYGm1kaaWhtxe9y4JBcZLV22QFHnqmM+NUeLp5VWTwtjseLfS0pLceipg4hpgfm5RRbmFpjWpkg0xC2Ce3H5IpFMhB/o+8cVP7cgCGzbto1t27at+R0lEgl0XS+SyjqdzhuKZAqHw8Tjcb75zW8WPa9pGvF4nNbWVnp7ezl69CgtLS20tLTQ1dV1Qz206+0BDwaDRaTDbF8BaGlpwePx8Pzzz9Pa2kpraysdHR1rXl9tbW2cPXuWVCqFw+GgoaHBMkxbCxs2bECSJAYHBzl37pxFyktVDT09Pbz++us0NTWVOdcePnyYS5cu3dQ5XDhzEc3Q2LS1n/bOtjXHj8amBhqbGgivRLh6+Rozk7Pr+px3ElJMJlfwUZM5+3HJ7XFXJbbrXdgVw3IZsQXQAjmkBaXsWOa/SxVOhaaQJsxqrUl4zXulXXXWVM9U+pupqloWA5ROp/F4PNY+5mKO+ftIJpNVJdKlGBgYYGxsjAMHDuDz+VhYWODdd9+12seamppYWFhg69atVrSYw+GwvFFMBYXf779pxUQNNdwIasS2hvc9FjyLXGq5zPHMqdUnb5DbiYZIMBskmPCzwdOHEycZI0MkFyGbzcuMNU1DEISi/hNzwHK73ZbsqKO7jU3bN1YNOFdVlSuXrjE5OlUkVTIlyLquo2maNWiZA2SlKu3djv65keOOMMsbwgWSQnXSGTA8PGLsooPinkfDMFjR48xqS6S9Ot/+3rtcW55Yt7z2+wk+JU82ri2P8x9f/zPbbTKx6t+bIAhs376d7du3l70WCoV47LHHKu5bGvsjSRL79++vaEzU3NzMJz/5yarnUwrDMJCEtYem9RhG+fw+fH4v8ViC+dkFOrrbkEVHxZ7Z7usy7zdmXiOpJtEEjXOxs+xXDtiqFzo3t5NJZZmdmGN2eu76e3ppam2kuacJyV1+o8roeef3Vq+9S/R8cp6NoX58AR8bNvWiaftZWlhmJjbNmDFGxAiT1u6Oo20hSu8JhfcjVVWpq6vjyJEjZfuZ39vhw4fZtGkTs7OzTExMcOHCBR599FEaGhpu63nakYDCXsann36ahYUFZmdnuXDhAhcvXuSpp56quhizceNGK3e2FH19fVafMeQdwHfu3Fm0TU9PT1UpMuTJc6XfiiiKtsddL6LhKCffOc1l3xU2btlAV29n1fELIFQX5ND9B4jH4ly9PMTk2NR75ssgJiVQBZDz738jWbaFWO/5ixEZjEzZPEML5omt+d2Zv4FCh+TC502iWzjGmnLjUtWWWeEtdEfWNK2q2qJUhpzNZjEMw9pH0zTS6TTBYNB6n0QiUeSWXA2apjEwMMCjjz5qmQSaMY3Dw8M0NzfT3NzMyMgIuq4TjUYRRZGuri4WFhYstYQpob9ZxUQNNdwIasS2hvc9LqUHSCg37twoGxKBZIBeRw+tYgu6rrMQX8AQDVRZtQaWVCovGTRJp0lwnU4noihaFQ1fwMe2XZsJhAJV33dlKczpY2fJZrJFvbSWi7KN3HgtE6lKz90MuS3d52YnKwnSvClcZESovqIvGAJ72MABYxOSIRLW48xoy8xqS8xqK8yqy2S4Lie+8wad9zYESGRT/NqL/5mMVt5LruU0Zq5O2+x470AzVGSxerVdUzV09KIKiYFh2/O6YVMf505dYHFukY7uNlQ9iyTISKL98FfvauDprg/zxsxrLKUXyegZzoXPsq9hv21lb8OuHrKpLJHFfF9tPJYgHkswNjzBgSd3oziLP4tbdpHVMrR6Wmzff+46sTUhSRLNrU00tzaxhz0k0klWsrevD9Lr9SKKIsvLy1alMJvNEovFrAmp0+kski+ajvQmQqEQExMTuFwu2/5YE3V1ddTV1bFt2zZefvllxsbGaGhoWDMXFG68B7wSRFG0qsY7duzgm9/8JvPz81YczwcZiXiCsyfPM3jpKv2b++jZ0L1mtdrn97Hv0B627tjM0JVhxoYniv72dwMCAlJMRqvLjxMVie1tMpASVBEhIWGUtDgZ/rySw+4+UzhOF3pwWPteN5s0F7RzuVzRYkoulytzRxYEoeLvyey7LqzWplIpJEkqyq41DMOS/6uqSiqVWpeEHvLO95qmcfTo0aLndV23+u8bGxtRVZVwOGxFVjU3NzMwMADke95Nyf3NKiZqqOFGULuaavhAQVEVOqV2OsQO6vQQ00t5Z0/BJVhmSKZDqCAISJKEqqoEg0EMwyAej+ePoyjW4CBJEu1drWzesamqmZKu6QxdGWFsaNyaBJoDV6n82Hxf04zKroq6HvJ7syZStxK/YGBwmQneEQbICuXukYXvE9J89KutJLQ0/1M7yqy2TNq4eXOvteCTXLSJDex33rp50fsNhmGAAf/h9T9mLGJPXidPjrHBc29P0IUKebSFmJ6a4drgEIceOIDHW7miISDQ0dPB5YtXWJhbsp7XDBVDz1eG7Sp8btnNEx1Pc3z+HUZjIyTUBBfDF9jdsKdse0EU2HSgn0tvDZKMrfbV6prO1LUZeneUO6WHcys0OpuRRRlVL/4NzSbnqn52r8uD37V+IrcWFEWhr6+Ps2fP4nA4cLlcnD9/vuhzNjc3c+3aNUv6a/Zom+jp6WFwcJA33niDnTt34na7SSaTTE5OsnXrVnRdZ3h4mPb2dtxuN7FYjFgsZlUxvV4viUSClZUVPB5PUXRJ4XvcSA+4Haanp4nH4zQ1NeFwOJiZmQG4IWL8QUA6lebi2QGuDlyjb2MvfZv6cDiqLya5PW527t3Bpm2bGLk6wsi1UXK5yvf/2w0pqljENlUhy9ZzmwykBEFAisiopd4dAhghDcLlU+fCViUoJrWm2stcNDe3MQmdma5gXseGYVgxiJVkyGbLlElsdV0nk8ng9/utfVKpVJE7ciKRQBCEqlXgQphV5IceeqisbcD8vGYM4/z8PEtLS7S0tNDY2Eg4HCYWixGPx614uZtVTNRQw42gRmxruCEU2sAfO3aM0dFRAMupOBQK0dXVRV9fsaHSc889Z9uvuWvXrnX1gVWDHz9dUidttBKeWKEuVEcgECCjZlAUxZpEQX6wUVWVUCiE2+1G0zTm5uZIJpPWSqppn+9wOHC5Xezct426xupymWg4yuljZ8ll8wOBLMuoqlpEZEvlx1BugFPNROpORv+sF2HiHBXOMyMslx0z3yOkoakamqojaBA2Yowyc8Pvsx54HS6CHhd1Xi/1Hi8bk920JPIVpjrHvStvqvZX+duBF3lx6G3b1xavzROZDsPGe5fYarqKuI4e8unJGSLhCK+99DoHjuynubWCW6wAsiSzffc2zhw/SyQcJXhdcaEb1zMkRfvJoyRK3Nf6IEFnHecWT7OSWWEwfJmtdeX3K1mR2HJ4IxffvEw2vWpmNju2QHt/Kw5X8aRNFARUI0eLu5mpEgOpueQ8AsINZ/PeCnbv3o2qqrzxxhsoisLmzZutiTPA3r17OXbsGK+88goul4t9+/axsrJaNZZlmccff5xz587x1ltvkcvlcLvdtLS0oCgKmqYRi8V46623yGazuFwuNm7cSH9/vjLd2dnJ1NQUr776Krlczor7KcTN9ICXQlEUpqamuHQpbyjm8/m477771i3N/KAhm80xeOkq164M07uhh/7NfWtmsDudDrbu3MLGLf2MDo0xdHWETPrOS+OlWOF01T7L9nZVbOG6HLmj/HPpQRXCzopjcakMufQ1RVHIZrNF8wDTz6NQhrye7FpJkizSasqSTdKqqiqZTKZI6p9IJCyFxnoQCAQQRZFkMmmbfW7C7LNdXl5m165dOJ1OAoEAly5dwuVyFS0cfT8rJmq4O6gR2xpuCa2trRw6dMiSxczMzHDmzBkmJyd56KGHim6gO3bsKHNLrSZbq4ZmqYlOuRN1PEezp4nGxkZyuRwZV5poNEosFrMInK7rBINBayVzcnKSbDZrGSyYJNTtduNwOFBVlUQiQVNrI5u291eVyRiGwdjQOFcHhshk8kTadDU0bfcrEVkzNsiURJdivSZSd6Nqq6FzlmFOCVfRBP06+c+TWFXT0VTtpivA60GdK8C2pj62NPaxpbGX6fQos5k8IRB0gZbpFjzJcoOf24nnnnuOzZs3s3nz5jv6PmDfJziwMMx/fvsvbbffVNfN+fOn7/Rp3XGYZK4atdV1nfnZvMN4LpvjndffZevOLWzeZl+lFwSBrp5Okokki3NLFrHNv59OTs+S1XNlk2QT2+q2E3QEeXv2DWaTs7gkF72BvrLtnG4HWw5v5NJbg2jq9b56TWfy6gwbdpX3VybUGK2eljJiG81GSWQSeJzrq6qshVdeeYW2tjbLtdQOiqJw5MiRoh5Zs5oJ+aqQGcVj4hOf+ETRY7fbbdtjax7/wQcfrPj+kiTZOqOW9pzeaA84wL59+6x/NzU18fjjj1fc//sVmqoxdGWYkWujdPV0sHFrv61hWiFkRWbj1n76NvUyMTrJtcEhkolyJ/DbBVG9HvvjyVdREzmbLNt1VmyrjX1Wm09aREiLGK5ibwvNn8MQDHSt2APDhElsKxlDms8XzitUVS1zRxZFsWp2bS6XKzIZM03FzOOa7siF2bXZbPaGIqMURWHLli2cOXMGwJpnLS4uoigKvb29wKqiwyS0kP+tXbt2rYiw1hQTNdwN1IhtDbeEwogGj8dDXV0dDQ0NvPbaa4yOjhYRWUVRbsgFs+h9EOlwtONYVGgX2+jv6EfTNKZcU0SjUZLJpCWbMQwDv99PMBhEURTGxsYsG33Imx+YLprRaBRYjfARBAG3x83W3Ztpaau8Qgn5XrqLZwZIxBJFOXSmtNgkriaJNAl0oYlUIbG9WyZSN+qqPKbP8Yp+lrAWzxPZO0xigy4/W68T2K2NfWxt6qPJU2ed96tTRy1SK6oirVNtuDLrkyKaKFQbmMH1PT09bNu2reJq9lNPPfWe9QJFM3G+8NJXyenl0r+A08vnDvw43/izb939E7vNEBAwDL0qsxUECAT9rCyHrecuXxikta2FYMi+8iYIAlt3bGFpYcnmVYPR6BD1rkbavR22+7d7O3iq81len3mV0dgoLtlFq6fckdYb8LDpQD+Dx65i/kTmxhfo2NiG011cfdEMjUa3vXHSdGyG2TfmaGptoqmlkbqG0F1xQ6/h+xu6rjM2MsH46CTtnW1s2tq/pqeEJEn09vfQs6GbqfFprl4eIha1z3G+VUgx2SK2SZs+W7dnfePAuk2kwjJaa0nrjAS6T4Xw6jhhl11biMIqrtl/a44lpdVZ0x3Z5XJV/M1ns/lzMqXLqqpaSjTzGMlkEo/HY51LIpFAlmXcbjeqUB6RVwizKAB5MzSn08nAwACJRAJFUaw+eRONjY0YhlFEmpubm7l69WpRpbemmKjhbqBGbGu47WhpaSEUCjE5OXnLeZYAGzP9PNv0NIqgMBGbyDvyZYatPlZzUGhra8Pr9TIyMkIul7OcAoPBIEtLS5bpiN/vJxaLEQ6HURQFn8/HysoK6XSa1o4W+rf0oazRbzQ5NsXFswMY+uqAVCo/lmXZIq6SJJWZSEFl+bGJwqpsNROp9aLa8QCSeoZZbZlZbZlpbZEJdYGMUX0QvBW4BAfbWvrY0tTLpoZudjRvpMPfWvFzHZ8/wbmlcwDIWZm2qTaU3M315phqA13XmZmZ4dSpU4iiWCaNNxcr1tvHd7thGAb//tU/YiZuH4vwG4//C0JS9cnnvYT1TDkP3X+AV196nWxmddKZiCcrElsTDU0N+X42ihcImpzNvDr9PXY37GVb/Q7bfYPOEE93fZi3Zl5ncGUQp+iizlUueQ81Bejb3cPw2bH859ENJq9O07+7t2zbgMO+SrysroAhcG1giGsDQ8iKTGPz9UihliYra7uGGu4EDMNgamKaqYlpWtqa2bS1n/rG+qr7CIJAZ08HnT0dzE7PcXXgWtHiU6V9bmSRVIoq5Frykts7mWVr9clGbIgt192Rw6su6eZ4Vc00yhzfzd5ZE6XVWXOBfi0ZsqkOA6y5kFk4yGazqKpqyZB1QyeqR5C6BK54LuF1edlNZQl/JpOxDKcEQVhTqeR0OsvUFR0dHWXP1RQTNdwN1IhtDXcEfr/fyg40ce7cOS5cuFD03MMPP7ymNMYZcTC2PGb1wUL+Ztvd3U0gEGB8fJxsNmvJWerr65mamrIGkEAgwNLSEolEAr/fTzgctgYeU54cCPjp2dhNZ499xcZEKpli8MI1wsthJFEik8tYJFFRFFv5sUmMgLIqrp1kuXSgLzWeupHJgMfjwel02sqWs4bKoh5hUYuwpEVZ0iPE9FUpmYyLPrrW9T7rgQOZBilIoxSgQcz/765tW2hqy8cISIKMIlYezIeiw4xERml1tyJnFRpjjUg+e6mWKYeqBFOGbk4ENm7cyNTUFNPT08RiMbLZLPX19Vy7dg1JkvjoRz9aJkXOZrOcO3fOutZ8Ph+7d++2HCcXFhY4f/48KysrOBwOOjo62L179w1Xff/63Hd4feyk7Ws/sfcHeKh7PxdHr9zQMd/fMCouvJjXr9vj5uCR/bz9+rvWc2pufQswoigiGAq6oVrS5zp3HQ7Rwdml00SyYQ4134ckll9bTsnJox1PcGrhBBeWz7Ovab+thLm5q5FMMsvU1bzUbn58kY6Nbbg8xZFBQWcAERG9JJR7NjnHtratRMKR659NZXZqjtmpvLFUR2cHjzz8yLo+L9xcu0JtAloDwNzMPHMz89Q31rN5Wz/NrdWVTACt7S20trewOL/E1cvXWJhbtN3uRq9LMSGBBkh5KbId1sqyrYYyY7iECDkBlOLzVAM5RBx5t+ZCZ/aCMdpE4dhtVm5NYltYnTVhqssqKYfMGKBCGXI6ncbtdlv7pFIpRFkk58+w4lgkJkfQ6leNsLzYL4xls1kWFxeZn5+3+t9rqOFeQ43Y1nDXsGXLFqsnw8R6pcnpdJqOjg5CoRDT09NEo1EaGhoQBMHq5TClN8FgkNnZWcLhME1NTVaVNhqNWtE9Ho+HWCyGqqo0NjfQt7kHh7N65W9mcpZzJy9Yjp2FK6yme6FJVE3yoigKuVyuTH5cSn4LUVrFNXGjJlIej4ePfexjVZ2c7yXsbtjD7ob1G8VUw86dO8sk3ZIkWRKv+fl5FEUp6ys0YRgGr7/+OrlcjiNHjuDz+YhGo9bfIR6P8/rrr7Nz504OHTpkObieOnXKtg+wEs7ODvKHx/4f29f2tW3jswc/iYFBTrt77qR3A5WiewrR1NLI1h1bGLhwGcDWobWSCZMgCEiCgm5o6EZ+wtfsaWYiPsFobIRYLsZDbY/ilsvvT6IgcrD5MCFniItL59nbtA+nVJ5x27WlnUwqw+LkMoZhMHllmo17i3tzJVGi3lXHYrpYIj2bmOWxjke4MnDV9rMnEzeWizUzM3PLJn01fH9jeXGZd15fJhgKsHFrP+2dbWsqhhqbG2hsbiC8EuHqwDVmpsqj4W5koTYf+6OghXK2UmRYO8v2RiAgIEZk9MaSRTPFwPDoCEmpqmmUYRjWWF9YuTUJaGl2rWkwWW1eZJpEmWQ4m81ac5qcmCOuRFlpXULzqcTFG4sFO378OMvLy2zZsmXdkUA11PB+Q43Y1nBHEI1Gi1YUIS9XuRmTgNbWVq5du0ZHR4c1aCwuLhKNRgkGgwQCARwOhxUVIYoioVCIcDhskV9zYAFoaGhAkiTS6TTd/Z109VZ348tmslwdGGJpftlyTDb7aE35sUlSTfmxWaWVJIlcLlc1w3Y9JlJrkV3z3wAZI8ectoIsOD8wpPZOoLAvan5+ntnZWTZt2kQmk0GWZQ4ePFjx+5ubm2N5eZkPfehD1jVtSrcABgYG6O7utqq7fr+fffv28eqrr3LgwIF1/V1WUlG++PLvoxl62Wt17iBffvIXkUUpT2zV1YnXYmSZVCaN2/neSKdvFoZhYFD+WUu2Knq0edtGVpZXmJ2eK3LxLT1upQm4KEiAgG6oNLtbmYhPALCUXuQfJl7gkfrHqQvaO2xvDG4moAQ5vXCSHQ07kG1ycTfs7iWbzhFdjDE/ma/aun3Ff5cGd30ZsV3OrOAJ5s3szMUWuLncaii+Nmu4cbz44ou43W4eeughFhcXOXnyJNFolLa2Nh566KH3+vQqQtM0iwithfVeW5FwlJPvnOay7wobt/bT1dOxpstuqC7IoQcOEIvGuTY4xOTYVJGfxI1AislooVzliu0NOCMXfuZKZoxyVCFbSmwBPaQiFhBbOxlyaW+t6Ypswpw7mPuY97BqMuR0Or0aC4RBnBhqe4b5+ikyyq1JsKsZvNVQw72CGrGt4bZjbm6OSCRy29xj29rauHz5MouLi7S0tOD3+/F6vSwsLBAMBhEEgcbGRmZmZmhpaUGWZerr61laWiIajZLJZIjH40VuhF6/h217N6/pojg3Pc/FswMosmJFGqXTaRwOh638uLCKW0l+bIazF/belppIAUVEtpTYmvLkrKGyoIWZUZeY0ZaZVZdZ0vOGWFtdt97f/EHH9773PZaX8xW17u5uduzYwalTpwgGg1XJZzgcxu12V1yoCYfDRCIRxsfHrefMv18ikVhTKq3pOr/xvT9gIbFc9pooCHz5iV+g0VNnVSMLie3EwjRbfvIRGoP1fPmff54n96+6zeq6jiCKDEWucmF5tS1gIRlhPlHcOgCQSWV55Vvvoubyk7af/sQP0765/Nw3BjfR5y+WrunXCblmqGiGVraPS3IjCCLadUMsA321umpQ3Rq5APsP7+W1l96omKlpkM//rUxuRQQU2jzFFYqUmuTVU69yqP8wnd32LQrNnhYebH+YMwun6A9uQCjJ1RRFgc0H+rn41mVSsTQTV6bYvL/4e2p01TNoc+z51ALNrU1Mjk+tfhZz8SqTKWpxWAs1YntreOihh6zv+syZM4RCIR5++OH3xEzurbfeskwP10Imk7GN2bPDjRJMQzcYH5pgdnKOrp4OWjtakde4HoOBAAcO7WPHru1MjE0xOzVbppxZC7qok3ElyNdThbLfXH1dPct1N1aphMrEVpRE0kqM0nhtoVXEmfFa0Xnm4nVhnq1p6pTL5cqya819zOqsuf1a2bWGYEC9waJvjpQrgSaV31trqOH7GTViW8MtQdd1UqlUUdzP5cuXaWtro6enOOIil8uRShXHAciyvGbkj9vtpqGhgdnZWVpaWhAEgba2Nq5du0Ymk8HpdFrENhwO09jYiNPpxOPxsLS0hCAI1NfXo+s6KysrtHY209rZUlVGpeZUhq+MMjU+TTqVRvLmCaiiKKTTaWsAMgcyk9jCqvy4kolUoXTJHARL+2hLIQgCOUNlXgszp68woy4zoy6xpEfvat7lBw1mPElhfxKUu1qWYq3XVVVlw4YNbNpUHkFjxi9Uw387/U2OTZ23fe0zB36Igx078xOl65dKTi0mdRML00wsTBPPxIuvDzGf3yqLMovpvBlVRs1xbn7M9jp64/mTDA9MWI+Pj27k4Z7dZds5pZ1FfaKiIF6vwBroho5mlJNOzVCRBBkNtUh2XPi5SqHrBqJY/KKiKBy6/wCjQ2P2O7E2uRUEAbfsYUf9Li4ur37vqiPHiXdOEo1E2b7LXsrrU/wcaX2AS8vnafG0lL0uKxJbD2/iwpuXWZxapnNTOx7/6oJaJWfk2eQc7W1tRcTWRDKZ5LnnnqOto40du7bhdVZXwqw3t7IGexRKQ+PxOP39/ev6HVfCjSxKlCIajRZlCL8XuNU2F7fPR92OBnbvKL+X3Cr8vUE29tpHf912bFl7E03TePHFF0mn00UL16YSozC7Vtd1WxmyJqmk3EniShR1Q46UuL6FDTsIuoAUr039a/jgonZ113BLmJ2d5dvf/rZVzQyFQuzbt4/e3t6ySeTFixe5ePFi0XMbNmzg4MGDa75Pd3c3p0+fJh6P4/P5aGpqYmRkhMXFRTo6OiwL+pWVFRoaGojFYmQyeWOn+vp6vF4vDpeDnfu34Q9WnwTOzy4wPDiKrulWhdZ0WbaTH5tk16y4mhXZwtVXsyprTgTson/M/hpZltHQmb1OXmfVZWa0JRa0SI3E3maUyuXXi2AwSCqVIhaL2VZt6+rqiEajNyW9vzh/lT89+Q3b14507uZT+34QKCZrlXpsFUkp6lcVEECAgGPVPXg8umh7XcUWEwxfnCh6TnDaV1dCjnK5riiIaIaWr6jYXLa6oSMYelkvbU5XURR7Kd7K8goNNu6swVCAju7qPWGGaUqFUHHxaEf9Ljyyh1MLJ9AMDeP6570ycJVYNMaBw/uRlfJhUxEVdjfsYyh6FZ9Sfk053Q62HtrIpbcHmRicYsvBjdZrDS57t9nZ5Bx7O3ZXlIg2tzWxbfdm1mOMrqofrB7suwlN03jhhRfYsWMHx48fB/K9iMePH+fQoUP09fURiUQ4e/Ysi4uLSJJEa2sre/futZz5X3nlFUtdNDY2RjAY5LHHHuPixYuMjo5aKqDOzk7279+/5jndrCT9dsHprLW5rBeSJBUt3puL15qmFVVnVVVdbZvCIOfIknYnSbmT5Jzlzsw3dA6aTEivI6AGWR4J07AOA7AaarhXUSO2NdwQCo1vDh8+vG4jnI997GO39L5NTU24XC5mZmbYtGkTkiTR0tLC/Pw8bW1tiKJIU1MTy8vLTE5OEovF8Hq9JBIJ0ukUvRu7aW5rQhArzwI1TWNieJKL5wasGCCTsGezWUt+7HA4SCaTRVJiQRBQVdXaxiSu5oAmSVI+ZqSAyJrvaQgG82qYycx8Xk6sLbOghdFrJPZ9i+bmZhobG3nrrbfYs2ePlY0Meen81q1befnllzl16hR9fX3Iskw0GmVubm7NiesfHf+6LdFs8tbzm4//HAICupGX7WqaRnQlSrZCf6liyt5KzJj8Dj8CAuFMgpV03HbfzGy67Lnuztay57yyD4eNeZIgCAiGUNEESkcHQyt7VazC1ERRYnx0gu7ecrfuxib7yqehG0W/+7Wqt32BfoKOOt6aPUrKtaowmZma5ej33uC+hw7j8ZZX6wRBoD+wienEhK2jsjfoYdP+DQwev0YiksQbzB9DkRRCziDhTLEUfDYxi8PhoL6hjqXFYkn69t3b6N9cbERVDaX9x6dPn0ZRFHp6enj77bfZsmULTU1NhMNhrl27Rjqd5vHHH7dyJwcHB3niiSeKjnHq1CkymQzbtm1DEAQGBweJxWJs3LixTK1TirSaut5PvbrIEM/mF+5mxudQkxpbdpa3suiGQXhphbrG1YUU0UaOakJAxGVjAGbi8uXLzM/Ps23bNlwuF2NjYywsLPDggw+i6zpvvfUWvb29PPnkkyiKQmtrK9/97nfZsWMHXV1dKIpCNpvl1Vdfpa+vj71796JpGufOnePtt9/mscces95rdHSU/v5+63ucnJzk6tWr3HfffQQCAdLpNOFwuOr3ZuJOk9r3mjh/0GD238KqS3JhddYwDHJaDqHOIBxaIu1Oosm3JjF2qW7kqAN9yaC/dSOSKJFMJlGz6k0tuNZQw72CGrGt4X0Pswq6efNmJicnLeLY09NDMpkkm81aq+H19fUYhkFvby8+n490Ok17Tyv+gL+4h68EK0thxocmyaQzeDweEomEtbLqdDrJZDIWUS00hSo0kSqVH5v9NWbvbS6XI5PLEhGTzKhLTGYXmFGXWNDCaGua5tz7uHDhAtPT0zzzzDPv9ancFjzwwAOcPXuWd955xwqb37VrFwChUIjHH3+c8+fP88orrwD56nBX19rxSdFMOdGUBIkvP/mLhFyBfOURg2QyxfG3ThBZiTClLtkcCRxyQaWggNxKgoRb9nJ2ftR2P6ck0dxaXIVVFJmOtvKV/jqnvbkS5CfIqq6S1xYX//Z0Q0dEpLTkaGfCZCIYDPDWa28RDAUJhtaX3buyHKa+sfgcDQw0VUWW7dsg6l31PN31Id6ZfYuwkEAw8ucYjUR59aWjHH7gkC2RFgSBdm8X86kZ23tNqDlI364exgen2HZ4VS7Z6GooI7aL6SVUXaW5tckitpIksu/wXto6yhcYbgSJRAKHw4Hf76enp4ezZ8+Sy+Voamqiu7ubY8eOWcQmm82WRbcBbNu2jRMnTvDSSy/hcrnYuXMn8/Pz6zIryt+L88QWBFQ9R87IV6Wauuo59/ZF6hfqaCj9jgUwBAOdAqKAQKXaYTUBtqqqXLhwgUOHDlmRc9u3b+c73/kOw8PDbN26lUgkUhQLVthuYj536dIlQqEQu3evymoPHTrEc889V6To8Pl87Nmz6uo+MzODy+WipaUFURTxer1W7uh7jRqpvb0wF8FNnwXLTNIpkPTESbmTZD3p6hfsGhAMASEqUafXUy80IusyU1NT+L1ea6EtHo8jy/J7lsleQw13AzViW8P7HmYv09atW9m6dWvRa6VEoVr2mmEYJNTinlRd1xkbmuDi2UuWW7LL5bpe6V3NhjOJqSkdMuXHhRm2hfJjURRBgOnMIkvZGNPqItPZRWbV5TtKYhvFAK1SPa1yA3s81RuAjh07xujoqK0c/OTJkwwNDdHb23tD8TTVsGXLlqKe02PHjpHNZt93rqKVPm+p6sDpdFb9burr6yvGBd0o/sXhH2F3S76CZV6/HrebfQf3sLIc5tprL9jup5SY2xRe+0vJKGm1XOImAG5FwdOh4HN6iGfy5jNd7S1IUvnMq85ZV1R1LazQ5qvLGqIgWrE6JnRDt1VQVIv5kWQJt8fDsbdO8NhTD6M4qvfnQz6mpJTYAqiaiiiJ152Ry+GUXDzc/hgDOy4zdGHYej6byfLma2+xZ/9uejeUVyYFQaDJ3cpiaq4snxagubuRdDJDPJzAF8rLlhvc9VyLDBdtpxs686kFWtpaGLgwiMPp4PCDB6mrD635mQthl0db+JvbsmULW7YU3ysKY9n6+vro6yuvDrvdbh5++OGK+60HZrU2pxdfh9sObGbgxBXue/hIWX9wXUMd4ZUwwTpzYaNy7nE1xONxdF2nsbHRek4URerr69dtzgR5o7iFhQX+9m//1vY9TGJbV1d8DXZ1dXH16lW+853v0NraSltbG+3t7TfVD12rsL7/IcsyOTVHzpEl40mh12nE3bfWKy3kRPxqAG/GT24hRzqZoakzv1CSSqdQ1dXqrK7rxONx6urqCIfDt9TnXUMN72fUiG0N3zcQBAEBEeP6an8inmR8aJJkPD9xT6VS+Hw+JEnC4XCQyWSsVXmn00kymbQGA0VRyGQy5HI5HA4HBgYrxJlKLjBvRJjOLTKTW0LlzjkW1osB2uR6WsU6WuUGWqQQDmF1oh+SglX2zsPj8TAxMcHevXutaoSmaYyPj9+SOYod1jIJu1l80AfoR3oO8iO7PlL0nICAIAqE6kKE6kJ0jtm79spSyS3+uttwJBPj8rK92ZJHUfJyYAE2t/dwamQAgJ7uNtvtQ077HlHIy40dkhNd14qqbObJ3AwhCYYCTI5PcfLYae57aO1FF13VmZ/NOwwXQlEc6IaGYeiIgn2mtCiI7Ni2nfpAPaePnbF6VQ3d4MyJs0QjUXbt2VlG0EVBpMHVxFJ6wZbcdm/tYGZoziK21Qyk9jftpaGxnr2HdttKoO9drH5nWa2Y2CoOhZ6tnYxeG2ODjeS61GDnRq+h2wlVVWlrayuq2JooPM9SB2WPx8OHPvQhK2rs1KlTDA4O8vjjj98wua2R2vc3dK9KKhgn401jOG5tYduRdeJMusjOqjS6m/C4PRiGwVxqDq/Xa1078Xi8SFkQi8XyrSvRKMvLy0SjUTRNo6Ojg+bmvBLn6tWryLLM9u3bgbxcfmpqikceeeSOjd811HC7USO2NXzfwTAMhgZHmBydIhgMWjKwZDKJ1+tFEAQ8Hg/hcNiq0pqV2mw2i9PlYkmNMKJOMZVYYM4IM5NbJGvj/Hq7UC/6aZXraZMaaJXqaJbqcAqrxhOlE5s4KQaEGT7Mh6seNxQKkUgkmJqasvriJicn8Xg8RcZKmqZx9uxZJiYmyOVy1NfXs3fvXurr86Rmfn6eV199lUcffZRz584RjUYJhUIcOnTIirYplCJfuHCB0dFRAL7+9a8D8Nhjj9Hc3Ew4HObMmTMsLS0hSRKdnZ3s2bPHGljNSm99fT3Xrl1DkiQ++tGPcu3aNa5cuUIymURRFJqamnjggdWom3sRHf5mvvjoZ4sm7nbmR6WuyCYcpSZM13f75tAL5PTyfdyyA5/Dab22oafLIrZ9FYhtnTNEIUkpPLeMlsEje8gZhq2BVGnvb9FJVkCwLsjk+BRzM/NcGbjK5m3VHVBlRWb4ynAZsQXTZRk0I4dE5ZiNto5WfE8+xPG3ThCPrUrFh6+OEIvGOXz/wbLqsSTK1LkaWE7bm3O19DWRjKXw+N00uioQ28QcNMGRhw4hyfaLN9oNxqW83xCPxzGU8s8QrA8wFZ4hnUrjchdLJ50uJ6lUCpfbiVhRiFwdPp8PURRZXFy07nW6rrO8vGzrZl4JdXV1TE5OFpGK9UKWZdrb22lvb2fjxo1897vfJRKJlFV330u8V9Xgr3/96zz44IN0dNgv2iUSCb7zne/w9NNPv6++LztkO9OkM+uLXSqDISBFJZxJN/U0IOsKsVgMPZ3GXZcnrel0Gk3TrOtY0zRSqRR1dXVomkYkEiEcDiOKIn6/n5aWFuLxOFNTU2zZssVKrJicnGT37t1WH/DQ0BCNjY01UlvDPYUasa3h+wrZbJaxoXFmp+ZIJBJWhdY0mspkMrhcLhwOB5IkkUqliJBgMrPAaHqaycwCc9oyGcPerOd2ICT6aJXqaFcaaZMbaBHrcIkOq7pl9unAqsOi9TwGlxjnXeEyvULnut6vt7eXkZERi9iOjIzQ19fH/Py8tc25c+eYmpri8OHDeDweBgcHOXr0KB/+8Ict50+A8+fPs2fPHpxOJydPnuT48eM8+eSTZe+5ZcsWYrEYuVyOQ4cOAflQelVVOXr0KA0NDTz11FOk02lOnDjB6dOni2S/8/PzKIpiSX2Xl5c5ffo0R44coaGhgWw2y8LCwg1+8+8vKKLMbz31S/idazs3V3ZFLr/FD0fGeGfmpO32PcFmErmkRWy7elfja3q6yomtT/GhiKvkOZfNWdeDYRhI1019Kpn72BG+tYpvodCqEmHgwiCh+hDNLSZpLQ/AVRSFxfklIuFoUV+u6VZuMm7NyCEiI1Y4V3/AxyNPPcTp42eZmZyxnl+YW+DVl45y30NH8AeK82IV0UHIWc9KprwHWhRFFFf+7+OSnfgUH/FccX/1XHIOwHJKLUU2k+Xy+as8cP+9t4BjLiKMD08g+0SaOxrLtunY0MbE8ASbtpQTzfx1Jlh/rxt1jJdlmf7+fs6dO4fD4bDua5qmsWHD+jPAN27cyPDwMO+88w5bt27F4XAQj8cZHx/n4MGDFcnuyMgIhmFYLTBjY2NIknTblTK3iveqGvzxj38ch8PeHf2DDlGTcCXduFMepJhMPJogFAohOxQMwyCdTuPxeKzfUCqVQlEU695rmlvmcjnGxsas+UF7ezttbfn7+Pj4OHV1dRZpnZ+ft0w5ASKRCIlEYl2pFTXU8H5CjdjW8H2F0avjpFNpfD4f4XDYkh8rioIsy0zF5ojlskyk5xhLzjCVXbijJDYoemm9LifucDTRpjTgFpyW9b8Z/m6iULpZSm5XiHFUOM+scGN9Oz09PZw/f55EIgHA0tIS999/v0VsVVVlaGiIQ4cOWYPiwYMH+c53vsPIyEhR3/OuXbssWdO2bdt4/fXXbaXCpglXYUA9wNDQELquc+TIEWRZJhgMsn//ft544w12795tmV7IsszBgwet405OTiLLMm1tbSiKgtfrfd+v4q+Ff/nAT7ClcX3Ot2u5IpvQDZ2/Gfw7223r3T4CTjc5PUvi+uE8zQ7qPUFiuYS9cZSjWIa8shymtS0/McpoaZxS/u9VyenYPrN2jYptqFhif/Kd0zz69MN4PPbut2a1b/jKMPsO7y15J6G4595QMYx8361d9VaWZQ7df4Brg0MMnL9s/QYT8QRHXz7KwfsO0lLyPTklFwElRDQXLjueJEtomo4kiTS6622I7Xy+F9nmO4nHEhx78zgOpdyR+l7C9NQM6XQaX9CLx1f+N2zqqmdlaYW6huLfs3lvNLhxObuJ3bt3YxgGx44ds5QojzzyyA0RKrfbzRNPPMG5c+d47bXX0HUdj8dDa2tr1fNyOBwMDAxw9uxZDMMgGAzy0EMPFS0Ufj/DLs/1gwwl68CV9OBOeVCyDus3H0/HrTQGyC/OG4ZhW52FfPU2EokgSRKZTIbm5mZ0XWdxcdEam1OpFMlkku7ubiB/HzYTJswxdWpqCrfbbRmr1VDDvYIasa3h+wqJeMJyNc46dE4uDxCJp5hIzzOemiGpr+3oebMIiB7alUZapXqahSCdrhZ8kjtv9Z/L5d2UCxxhCyuzpSgkt7qgc1oY4pRwzbafby24XC7a2toYHR3FMAza2tqKJlc3YrISDAaLjgv5gXa9ebGxWIxgMFjUj9bQ0IBhGMRiMeuYwWCwiCy3tLTg8Xh4/vnnaW1tpbW1lY6OjrK+tnsFz2x8kE9se8r2tfnZeRbmF6mrD1FXX4fH60HV7Imto8T1983p44zHpsq2EwWB7kB+AqMUXIM5j8oD2/dzafGKrXFUqMQReWpyikDAj8frwUC3rlOhgt3nWlU2ux5ch9OB2+MmlcxH8WSzWU68fZKHHn/AtjrW0FSPJIlMT8ywdecW3EUEuJx4GOgspBYJOEK4ZHv30I1b+gnWBTn5zimymXx/aC6n8s4b77Jj93Y2bik2sfMoXjRDJaGWO16bBeJGVwOj0fGi11RDZSm9RJO7qehesLy4zPG3TpLN5nDU3YtEKO+SHV6JkIgnEEWRi8cvc+CRPYgl15msyKQKcsKLjiIIFeTs64MkSezfv79iBNcnPvGJdT3n9/t58MEHK76PnYFXR0dHRZntBwGGYXD58mWGh4fzCxc+H9u3b6ezs5PnnnuObdu2sXHjap7zysoKL774Ih/96Efxer1lUuSlpSVOnjxJNBolGAyybdu2svdcb56wJEmMjIwgiiIbNmxg586d1jGy2aylUMrlcvh8Pnbv3k17ez4ne2FhgfPnz7OysoLD4aCjo4Pdu3ff+FhjgJxwIEVkQno9il4u9zUMg2w2W1TFT6VSyLJsVVrT6XwsmyAIzM3NWekMdXV1tLW1IQgCQ0NDRWPm8vIysixbrUTRaJRMJmN9Rl3XmZ2dpb+//6bMzGqo4b3EvTnrq6GGm8Try2c4F73KRGqOmHqTPS/rgFdw0eloot2RJ7INup86Z8AaWNLpNIIugESRlBjyg5lVjSiQGpdCFEVmjWVe4Qwr2GeRrhd9fX2cPn0aYM2c1Wq4W4OgXQX46aefZmFhgdnZWS5cuMDFixd56qmn7jk5W5u/iV99+KcQBMGKhSiEIAhcGxyyHrvdboaujdgeq3Cylcgl+buhv7fdrt1Xj+O6bLmQ2Gb1LE8+8CDJMzHb/cyoH/P6jK7EGB0eY9OOfpyS6zrhEBAEkAWljMjm7dyK/5Yi4ioRNrQCGbNh7R8MBS1iC/lK8fnTF9lzYFfZOSqKzJ79uzl1/Awj10bZvnt1Qpz/3ZV/roAjwMuT/8B9rQ/Q4CqXyAI0NTfy6FMPc/ytk4RXwvkzNAwunL1INBpl7/5ikuZTAmiGRlpLlR3LMIyKBlIziTma3E1WdXlqYpozx8+h3+O9tQDTk9PWfS4VT3P13DBb9m0s287tdxEOr1BfX/4dGQUmZDcqR/6g4710Sx4YGGBsbIwDBw7g8/lYWFjg3Xffxel00t3dzfj4eBGxHRsbo7Gx0XYRNJfL8cYbb9DS0sKRI0dIJBLWeGVivXnCY2NjbN68mSeffJKlpSWOHTtGY2Mjra2tGIbB66+/Ti6X48iRI/h8PqLR6GrWcjzO66+/zs6dOzl06BCZTIZTp05x6tSp9aUH5ATkmIIr6cGT9ZKKp3A4HChu+x7WbDa/aGYu6GqaRjabtXwrTKdjSZKIRCK43W6cTifxeJyWlhYEQSCVSpFOp+nszLcmGYbB8vIyTU1N1tgyPz+P2+22qr7z8/PkcrkbdjmvoYb3A2rEtobvK5zJXONyzJ4E3Cw8oos2sZ4ud0teTizXo2RFS94MFDkqA5YM15x0SJKEqqpFQe6VCC1AFpVjxmXOc3s+S2trqzVRNntsTNwuk5VSlMqsIV/5GB0dtfJ/Ib9SLwjCmqHyoijS0tJCS0sLO3bs4Jvf/Cbz8/PWgH6v4BeO/BgeZXUiU0psna7VCp0oimQyGcI2OaMAU2NTuFAIhoJ8e/hF4rlE2TZOSaHVF7Iel/blbtrYS+9yu+3xSyu2gigwPjpBz9YufIofp+i2rmGXdBPSwgLOaxgGGT2FgUGoLsjs9GzRpqPDY2zZvrnMaAigq7eT5aUVxkcm2LxtE7JS+BnLM3ZlUcYju3ll8iX2NR2gP2h/nbs9bh58/H4unL7I2MhqtXV8ZIJ4LMGRBw5Zfy9BEAg66tAyWlm8jUFlYjubnGU3+YrS1ctDXL4waLvdvQSThE5PTgNY1djZiXmCjQFau8pl7w6/TDabtV2osqq25S3W39d4r0itpmkMDAzw6KOPWkofn8/H4uIiw8PDbNmyhcHBQRKJBF6vF8MwmJiYsK3CQr4f1DAMDh06hCRJBINBkskkp06dsra5du3auvKEg8EgO3bsAPLjzbVr15ifn6e1tZW5uTmWl5f50Ic+VJQ/bGJgYIDu7m42b95s7b9v3z5effVVDhw4UNGd3xlx45kMYMTyTvWyLGPI+QWZaguvmUwGWZatsdDMiHY4HESjUVKpFLqu43K5aGpqwuFwMDY2RiCwuogeiUSQZdn6PKa3hSlL1jSNxcVFent7rXv19PQ0dXV1FoGuoYZ7CTViW8MHCnc6+sUjumhXGmkWgvR62+lytRAQPcTj8fzKqykP0vIuheaAZObcmuTR7J8trLqYAe7m64DlTihJkkUER4xZjnKOBOmq5+o11i9RFEWRD33oQ9a/C3G7TFZK4fF4mJ2dJRqN4nQ6URSFnp4eLl68yLFjx9ixY4e1It7T01M1VH56epp4PG4N7jMzeXOftcjw+w2artERaLEqT3ZulM7r30Ph30nV7GOlrl66ytS1SeJKkjf9p20n/T3BpiLDJFmUinpPdZfKFpu81oXFMHJf8RDy2FOPkM1lECSzUnv7WEb+WHkSWmgCVYiV5RXaOuzdm3ft20EkHGF8ZIINm/vy7tIICMJqBFghegP96IbBaHQEdVlnc88WJBtFgiiJ7Du4l9b2Vq5dHrJ+04ZmcPr4WXbt2YnvuqmUIECDs4lwdqUs19ehOOkL9JIpib7JaFkERAQhXxEv7R2/Vyef0UiUeGx1ocWsul45O4Q/6MMbKDdRypHFgT2xNQwDHR3BuL3XXQ03jng8jqZpHD16tOh5XdcJhUIWaRofH2fbtm0sLCyQyWTKculNmC77hWN7YWsMrD9PuLBdBvLVUFPOGw6HcbvdFceNcDhMJBJhfHx1EctUHCQSiYq/RXfYSzgWxXH9fm4aO5njuh10XUdV1SJibcqQV1ZW8q1Lskwul7Pyj1OpFLlcjlAoZJ1bOBymoaHBep+lpSXcbrd13KWlJSv2B/LkeWFhgX379tmeVw01vN9RI7Y1vOcwDIPBwUGGh4dJJpO4XC42bNjA9u3bOXv2LFNTU/loB5eL7u5uduzYYd2kzQiZjRs3MjAwQCKR4JOf/ORtOS+36KTL1Uyb3ECd6mVzXQ8NjhCQXwV1KA6ccp48yrKMqqrWwCuKIrlczpISmeRUKyEguq4jy/LqZLiggmtC07S8BElSed24wDXKeyQLIRiwW9jA0xy4oc9bzdL/dpislGLDhg0sLCzw0ksvoaqqFffzyCOPcObMGV566aWiuJ+1zn1qaopLly6haRo+n4/77ruvbBJTiudGv81yZjl/DFHmQ13P2vZVqqrGu28ct3JMCyHLErv27+Slxe+RUYsXG9q8bRxsNicIAmdmrvGnJ/+n7bk82nuIf77/E2vKKZ1Oh7UIYpIBtYIrsiRKGBhcdA9h2Mz1+wKdhFzllVSHJJO53rc7m5ylqSlUts21kQmutY+yqbN4cUMVVDzi+nqqbxalBlImstnKRm+iKHLo/gO888Zx+jb24nMEqhKgnfUhdtZXv+4KsaG7nw3d/WtvCLhl++/nMzs+U3W/Rx95dN3n835F/h5nMF3gLG0+LwgChm5w8US+37Y04sgQNFQ1hyyX36t0dAx08gL3D26u9fsBay0cmPfJhx56qMwEyhzbTDnytm3bGBsbo7W19ZaMs9abJ1ytXWatRXFVVdmwYYOtUqmam7U5vpsL3IZhWMaJlb7LwupsNpslmcy3TgmCQDAYxOPxMDMzYymqIF+NlWXZUlaZCwwNDXk1iBn909XVZb3v/Pw8oVDIOn9zUbjSIkMNNbzfUSO2NbznOHfuHCMjI+zdu5fGxkZSqRSxWL6nT1EUDh8+jNvtJhKJcOLECRRFKXLijcfjTE5O8sADD9z0Sr1TUOh2t9LtbqVNrsebVOit77QG2vn5eZyqA8GZ71kyB6jS3lhzMILV/iZJyjusmlJjczDTNI1MJmMNemZFVtd1S5oniiK6oTOgj/OOMUCG6g7NDUaAR43dtAh1KEL1n/daPUEPPfSQ9e+1TFaam5vLFhTq6uqKntu5c2eRSYfL5bLiegoRCoWKeqLWc95NTU22Bi1rYTmzzHwqH6lyf8t9KJJia8B14dxF2/ggWZY58tAhfH4vEyPjZaQ05AqSu+6qPRGe5wsv/eeyihzApoYefnT3R4r2Nw1x7Iiuy+2yTHcMw0DV7Su2kigx41hkRYmWv4bEh/ue4MTC22WvKeIqsV1ML9HmK3eYHp2Y4dUz764S2+sOtWIFo6jbCY/Xg+JQyJUQ2ZytO/Sq1NjtcbNjzzaW5lcIdIXu+HnWUIy0mgIhf53MzcyVvW76CyRjKa6cHWLbgc1l29iR2qJjFPTc1rCK29lvu9ZxAoFA/u+YTFqS11L09PRw4cIFlpeXmZyc5MCByguxgUCAsbGxIkXW0lJxhNat5AmbCAaD1vzDrmpbV1dHNBq9YSWQqqrWeG4uekP1xWRThmySU0EQ0HWdjo4Oqzqrqqp1Lma/bX19vXXtmxVok7SGw2F0Xbf+JplMhnA4bEmzIa9+am9vr7lz13DPokZsa3hPkcvluHr1Kvv377eMCnw+n2Uxv337dmtbr9fL5s2bmZiYKCK2uq5z+PDhqlLVQjgEhRapjk2hbvq87bTJDeQWU9TX1+PxeDAMgzl1jlQqZVVZzVVTk3SayGaziKJo9cMKgoDL5UIQBLLZLLlcDkVREAQBSZKKem0LTaLMY8hyvo/MHMiiJHmF00yKi1U/k4TIIbawiz5E3jvDkHsVfsXPjobttpPhRDzB2PB42fOyLHHfw4dpaKwnpabsCah0PVcwl+bLr/6xLan1KG5+66lfwiWvv/q9dfsWzpw8a1VttQrE1hAMBr2jtq/1JNtITyTA5mejSDLmGopWIe5qbHyG19Lv8NMf+9H8e2GQ0dK4pPX9Dm8VwVCQxfni34Was69cF6K5pYm56fk1t6vh9iP/G8lfs3sO7ubYm8dJJlbNtMzrWRRF5iYXCDYEaO9ttV53iE4kQUI39ArKBgHTZOxmnZI/qLibY4KiKGzZsoUzZ84AedlwLpdjcXERRVHo7e3F6/XS2NjIiRMnrIzVSuju7ubChQucOHGCrVu3kkwmGRws7jW/2TzhQjQ3N9PY2Mhbb73Fnj178Pl81iJ7W1sbW7du5eWXX+bUqVP09fUhyzLRaJS5ubmqpou6rlsk1jyPSjJkXdctabRhGMiyTCAQYHl5uYi0JxIJFEWxqtGJRAJN0ywZsqqqxGKxou91aWmJYDBokdaFhQVEUaS1Nf8bi8ViRKNRdu0qN+GroYZ7BTViW8N7img0WrSCWIrx8XGuXr1KIpFAVdWiAcKEx+NZN6n9Fxs/idIlMDoySn2gHr/fj6qqzDvmicfj5HI5i1Sash2giLh6PB6LpBqGYa2YZjIZUqmU1T/rcDis48myXLRaW9g7az42Zb2KopDJZTihDnJCvIK2RoRPOw08xh5Cgg8DIz/pqxIVVEM5Hmx9AFmwXz0/e/J82XcpyzL3P3KE+uvZmkm13OkWwCW5MAyDr77114xHZm23+eKjn6U7WNwXurK8YkUx2KGrp5NQXZCT754iHI7YEltJlBj2TpIRy8m0S3OwIdXJ1NUZhJ0ChlD8+QqdkT020mxdNxibnGFudgVdz+ew5umEftcqZSEbYmtfsS1Ha3vr2hvVcEcRCPp5+MkHOf7WSZYXV7O3TbWKIAhcOz9CoM6HL5jvB3ReNyArzR82kX+e/4+9/46TK72vO+HvTZVj59xAo4FGzsAAmOEkDodBQ5FUoEXapiyvd1deya+o1TpJsklLll85rNYKtCyuqJXoV9KKoiyZmiE5nOHkwSAN0MixgW6gc6iurhxueP8o3AcVbnU3MJhcRx9o2LduqltV9z7n+Z1zfrclyY02Je8mtm7ditvtFhYhTdOIRqMVAVF9fX0iQ2G5djmapvHQQw/x5ptv8txzzxEKhdi+fTuHDx8W69xrP+FqHDp0iNOnT3PkyBFha7GJXiQS4bHHHuPs2bO8+OKLQGnCfTWy3er3Vz2OsROPbfsSlFrdaZpG7na7K9sXa5ommUyGSCQi3lsymRSpyFAaW1mWJWTI+XyeVColgq/s3rVtbW3iXCYmJnC5XILoNtDA+xENYtvAu4rlPC3z8/McPXqULVu20NHRgaZp3Lx5kytXrlSsdzf947y6xmJiEU3TWFpaEsQVEP1kNU0TqYNer5dwOCxSgXVdFzOklmUJmZCiKLhcLhHe4Ha7kWVZpB3b79P24tozsfZDqVgsiiTgOZb4oXySeZyTbm240TjEFoboKQ3obsvv7FCqBrFdHdq97fSF+hwHP7PTc8zPVkreVE3l0MMPEG26I8/N1iO2qodnLr/KK6MnHV//O1s/weMDD9Qsf/PoKSLRCDt2b0fVnH8joXCIRz76MBfPX0J/rZbYRpoCjHomHbcdyqxFve1DlAsKhruy0lmejOzVaiVpM7ML5HIFchQ4c/0yu9ZvoWgWca+yWnvt2jVGRkZIp0vhQeFwmM2bN9PZ6Rz85ISe/m7ii3Hii0vC07eaim0D7xVIuN1uDj1ygNMnznJrbFy8Yt/LTNPk/PHL7HlkBz53QIScSZKEZC3f3seyLCzpgyVLtu0r7wdIksSGDRsEkXLC4OBgRcufclRbW5qbm3nyySeXXede+gmXW24A3G73sjadpqYmRwvNcrAnauCO/7j873w+j67rQvGVyWTw+XyCcGYyGVRVFaQ1k8lgmqYIq9J1nUwmU0FI4/E44XBY7CMWiyHLsiC6qVSKTCYjJhpM02Rqaor+/v63NYCzgQbebjSIbQPvKoLBIIqiMDs7W5H+ByXZjM/nq5Aj2wEK94rFxUXS6bQgoeFwGL/fj6qq3Lp1C7fbLSplhmGIWVEoSaQXFhZEywmXyyUkx7Zv1q7S2q/Zx7EDoEzTrOhPqiiKkCVn9Txv6Bc5zbUVuzGuszr5iLwdv+Spqc7a5PaDMph7u/Fw10dQpNoHuWmanDl5rmKZpmkcevgBIk2RiuX1iO3U0gJ/cLw2pRNgS9sgP//A361ZXigUSCVTpJIpkokEj36s/iBKVmS2bN9MS1sLVM73sPuxrTWVWICmYpiOwp3WMnJexqjirq7bFVsZCY9SK5EevXUn+Oel4TfYNbgZ0zIcr6MTfD4f27dvF7/50dFRXn/9dT72sY+tGPhlIxKN8NBjD2JZFslEksVYHLOOJNuuAq4WL774IpFIZNXJoIlEgmPHjhGPxwmFQjUD8Pcq7PC9d/p8JanUmseiNOjftX8HwVCAC2cvAVRM0mXTOa6dvcG+B/ZV7mMVVVsLiayRrpIl38lEcIIsr25YVH13nZmawR104/HWTgSdOX6OdPKt903P5/Nv+RkI725/2w8jVFUln8+LDA0ojS/siXFZlvH7/bjdbgqFApZlCV+sYRhks9mK6mw6ncbr9QqVVypV6mNv3ztt9ZhNdO3etS0tLYK0zs7O4nK5BNFdWFggn883etc28L5Hg9g28K5CURQ2btzImTNnkGWZlpYW8vk8S0tLBAIBMpkMN2/epKmpicnJSSYmlk8EXgltbW2lHnKWxdWrVzEMQzxAwuEwS0tLhMNhFEUhGAySSqXIZrP4fD7cbjeKopDNZgVx9Xg8IrFZkiTxYLLlx7aPplAoCA+toijkcjmKxaIgoJPyAj+UTpJg+UFLAC8PmltYQzuyJYNUOUixB4TL9cBt4A56/T00eZwlvzeujZJJ3/k8XC6Ngw8fIBKtJF4WzlLkgq7z+0f/O7pZW0UMuQP8xhO/UNMzFmBxIS7+d2Ip6VhxqvYQylVV3Z51HXSuaa3Zt2TBpvTaym0LtWRUkRVkScKjuB2/R6M371SCXzl9lF/4iX+IS1l92Ei1n27btm2MjIwID9jdQJIkQuEQoXCo7mB94tYUvf3dq97noUOH7ooInz9/HlVV+eQnP3lXCpJ3Et/61rd48MEHRVsPgKGhobfUi/peUH6PssktwODGdfiDfk4eG8bQjdsS99J3MxyMVLSkgtv3PfN2CnLVd7REbm+rVqSqADanZRUnaCx77zQMA1VRa7ZeSiXobu3AsCp/77G5RcZvvrXn1v1Gg9S+s7DvCfbktm1JsvvL2jkcALlcDlVV77QOvO23tScBdV0nm81W9JtPJBIEAgFxnHg8jqIoYlI+nU6Tz+eF5cs0Tebm5ujp6RH3uYmJCUKhkNimgQber3hvPoEb+FBh8+ZSaM+5c+fI5XJ4PB7WrVvHwMAAGzZs4OTJk5imSWdnJ5s3b+b8+fP3fKxEIiFSA5uampiZmRES4HA4TCwWI5PJEAwGcbvduN1uIQuSJAm/308ikRDyY7fbLeTHLpdLVGDtUCk72t+G/RCxt1vKJzmmXuGiOebYY1TAgm3SWg7Km9FkVfiNy0lsY7By99jRsr1mwAwlafil83dKoC6Xi0OPHKjpn2pf8axeOSFhWRZHr48wl447Hvcrj/1vdARaHF+LLcQq/i7kC7g9y5PGQpm3VFZk9j3uHP7Rn+8iaFS2mlHyzlVWTVbxOciQAUZv3qnYvn7uTTL5LCHvvfUMNk2T8fFxdF0X1YP7jd7+nruq2t5tImgqlaKzs1O02bgXvN09uJ2wXCrr24lacmsBEp3dHTz0+CGOvXaCbCaLZVl4PG4GNzi3UcoZWRRJrTOpIjmHSEl3UrKXO7d6ME0Tp25CwYjzZz92rTZ4roEPF2ybk52ObKsRqifxTNMkn88TCt1pRZbJZHC73YK0ptNpJEkSRDefz5PP5wXRtSyLpaUlotGouN/FYjFcLpc43uLiIrqui0muYrHI7OwsW7dubUyIN/C+R4PYNvCuQ5IkNm/eXCE5trFjx46aHqblnp3qFjIrIZfLkc/ncbvdRKNRZmdnWVpaEiENfr+fZDJJIBAQD4+FhQXhvfX5fCQSCXK5HH6/H0VRSmFP+byYdfV4PKTTaSEZs720to/GHkyOabO8pJ8mZ9aG+5QjSpCHra10WE1oiib2abcPsgfD1eS28YBaGR7F41i5OTd8AUMvyVrd7hKpDYWdSS3USpEvTU8xEV/ECT+98zM81Le7bsVocaG0nT34yeXytcS2xAMEisYdYrtl36DjINtlaqzP9dcsV/LOjwFNVvHWCY66OX4nCCuTz/LmlbM8tuOQ437qIR6P88ILLwh1w4MPPnjX1dq7QTlplFYIFiqXIj/99NMMDAyItmIul4tNmzaxbl2JbH3rW98CSoPFCxcusHnzZrZu3Uo8Hmd4eJiFhYWKfsz27//YsWMUCgWampq4du0aiqLw6KOP8swzz3Dw4EGuXr3K4uIioVCIAwcOUCwWefPNN0kmk7S0tFQkwcdiMc6ePcvi4iKWZRGJRNi5cyfRaMkH/vTTTwPw+uuvAyUp+FNPPVUjRbYsiwsXLnD9+nUxwN62bZvwPqfTaZ555hkOHTrE1atXicViBAIB9uzZQ0uL80TNSpAkSWQEWEA4HOKRJx7i6GvHWYzFGRwaRNVqv6NFs4hh6RiWjiprtRXdOlLlu4FpmTX7dZoIy2azhKK1EzuZVIbZqeUT7d9NNCZE3xnYz37LsnC7SyoYp6A7uzpr53jouk6hUBATfnauRyAQEPezRCKBoiiC6GYyGYrFotjGNE0WFxfp6uqq6F0bDAZF8OX09DSmadLfX/t8aKCB9xsaxLaBDxVkWWZxcZGOjg4URSEcDldUce1eeLlcDq/XSyAQEL7cSCSCoij4fD6y2ayozng8HpLJpCCZdiXV7ndrD2RN06RYLJKWcrxkDnPDnF62SisjsVceYq+0ASSET9fui2sfq6L6UYZ8Pv+uVIHeL7BlitVIJVPcGi0F2bg9bh585MDtkI5queMduBU37d7SjPliJk0hq7KxZaBm35ta1vKze3+qtHWd4y/G7hBb0zTJ53JAJanOZrNYFgQCpe+gHUjiC3rZ+oBzWMtQdg2qqdQM9p2kyFAKkHIKjpqenSeXr5yMOXz2zRpia5qGY2XLRjAY5GMf+xjFYpHx8XGOHTvGo48++raS23vFlStX2Lp1K5s2bWJ8fJyTJ0/S2tpKKBTi05/+NC+//DIdHR0MDQ2JSadXXnmF5uZmnnjiCXK5HCdOnODUqVMVwTSzs7NomlYTRnPu3Dl27dqFz+fj+PHjHDlyBFVV2bVrF4qi8MYbb3D+/HnR+7NYLLJmzRrhCb58+TKvvvoqn/zkJ9E0jSeeeILvfOc77Nu3b9mU2CtXrnDlyhX27NlDJBLhxo0bvP7663z84x+v6N159uxZduzYQTAY5OzZsxw5coRPfepTdyXfrq6MlkuTXW4Xhx49yIUzF1mzznmwnTcyZf87i1d1rpg6V2CXq9qWlhumjuRAYhW19ktd1IuoWu26YyO36hzjvYEGqX1nYAdS2pPqtuKq+ruZy+UqqrOZTEYoxQDRQtCWFNtE1w64hNIEm9vtFtssLS1hGIbYplgsEovFGBoaEsednJykvb1dEOoGGng/o0FsG/hQIRqNcuPGDVpbW1EUhaamJkFcA4EAXq8XTdNIpVIiEMruZWc3nff7/WQyGfGQ0jQNVVVJp9Oi7609uLV9NJIkoagKw8Y13iheQJecQ25sdBDlYXMbbcrtZusKooduOYm1CXS1JNmyLDKZDN/73vdwu90itKJ84Fnej7d6QFo+4LmbwY/dl7e6cmyTNKf1q8/FhmGZvJY+x8VcfSmfJin8aOdHeHL7g4SjkVWdo2VZZPQ0XtW5Wnvq2GmgNGHx4KMHCAaDeBT/shXwJ3qrwnf2rnwOydwSmqtSCppYSlIs6uK6WJZFLlebgqq5NL7/tz9g246trF23hoJemv3f++gWNFftbb2ZCD2F9prlAHJRxqk7iltWHYOjxidqe8C+NHyEX/l7/6Rima7rsIzS1faxQylpNBaLcfXqVfburX/xSrLS8u+wQS6TQ9VUNJdr2d6l5a/dbY/Tzs5Okd66ceNGrly5wuzsLKFQCK/XiyzLqKoqBoYjIyOYpskDDzwgbA67d+/mtddeY/v27aLSqqoqe/fuFZNPdkr00NCQCH5Zv349R44c4ZFHHhFV0bVr1zI6OirOr9xvB7B3717++q//mrm5Obq6usTxXC7XsoPXK1euMDQ0RF9fH1BSzMzNzQmya2NoaEj4pLds2cKzzz5LKpUSKa2rxXLkVlFktu3a6vhZLSWWwHPnHmpYOrpZRJUrv3BSPTny7VedyK2FhWWZpPQkIS2yqvfh8mqYVN7Ti0WdibGpOlu8f6EoCm0dzu35GnCGpmmiO4Ld9g+o8JHruo6u6+KeaFmWyPco712rqqrIBclkMui6LpQZhmGQTCYrJq8WFhYIBoPidz83NwcgVBiZTIbFxUUOHDjwTlyKBhp429Egtg18qBCJRDAMg0QiQTQaxev14vV6RViVJEmEw2EWFhaE9zYUCpFIJESV1uVyoWma8L7YoVG2NNgmu/Zsaj6fJ6nleK54nCkrtmyVVkPlQWUr26S1YnbWljirqlrj2bX74Nq9d6vJVyaTuV3ds8QMcXlismHcGYyVk9tqMrtacrtcuyH7mPby5Uht0sjwF4svcas4V/dYzUqILzZ/FHWmyAvPvURzSxMbNq2nvdOZwN05EfBpPvuN3e55WcLM1AyLsTher4dDjx68XRG9/0FcpcRsd8WxoVStrb4ueQdiq6oqWDD85mmmJ6fJFwq097awZmOP4/H+0d6/hzFd4MLZi7WfCxJKQcHwVA7MPZrH8X1LxdrHxrFLp0nnMvg9petqWRauOv7c5eD0XShHTTshBXzhgPPK9xHlVWTbbrBc25VkMkk4HK4Ikmpubi5NaCSTgmjaQXXVKA9wKV+3fFn58XO5HGfPnmVubk6kr9otQFaLYrFINputkRQ3NzdXtEWrPj97wHyvbWicyO0dabID8bQs3nzjFIPb1xBuvkOk80YORVIdv7NOVVvptmjCCWk9fVdtgqp/xwDjNyaEneGDgOaWJvrW9NLV23VPv+0PM0zTxDAM8Vux7/Hliipbhmz/3m35crmkOJ1OV/hvk8kkbrdbbJNIJDBNU3R2KBaLJBIJYZuAkkqkpaVF5AhMTEygqmpNoF8DDbxf0SC2DXyoYAcoxGIxEZ/f1NTExMSEaOMTCoVYWFggnU6LwanX6yWVSokQqWAwSCwWI5VKIUkSuVwOWZZF6iGUBmiax8Xr2TOcMq9hruD36rfaeFjaTpNSGsC63W7y+bwgt5ZlidZAhmEIwqtpmgimKE9XrE5KLj+/8gAL+3yXG8it1otVXhmuJrf1KsvVuFWY4y8WXyRpOrfQAVjv7ubHIw/jU9xiHwvzMd549SjhSJihzevp7O5ccWBaGkQrt8/b4PSJs3h9Xh589CB+v2/F93u/YftrywmeU8UWwONxk05nmJ6aYSG2wP6POwdGPdi5j4FwH4Shta2VE0ffJJlIVqyjFNQaYutWnMutfdHemmVFvcjhc2/ysb0fKZ2/ZaLI9XXIZ86cobOzE5/PR7FY5ObNm8zOzvLwww/X3ebdRLWi4X55E+vZBJy+t8upKo4dO0Y+nxfyZVmWeeGFF1acKLhX1COP9/0YDru8NTZOMpHkwonL7Hl0Jy536XtqYVI087gceik7V23ry5GLZmHVrasM06gh4KZpcvM9LkNeDXx+H31reunt78EfKJd6f7D6A7+dsNv1AKI9j33dKu/zuYrqbDabRVEUQVpzuRyGYQhVhN0uqK2tTezPnqC3SWssFkOSJFpbSwn5mUyGVCol1CeWZTE5OUlvb+97Ns29gQbuFo1vcgMfOrS2tnLt2jUh8wmHw0xPT7O0tERra6uI4LflxzaRnZ2dJZ/P4/F4RKU3l8uJCo7tocnlciiKwhQxni0cIyYllj0fH24e03axxmgXciRbvqyqagVZtqW+9gxw+XrV20LlYNP25RqGIZZXV1irJc73Avv86kmQ61V0Ad7MXOGZpaMYDhUQGw8HtvFYYKcIcSk/V0mSSCVTnDhyEp/fx4aNg/T096zo/StdG5VDjxzC5VJFWFNVRtPbjvjiUs31KtSphLk9HtK32xG1rI8Sba31pnpVD58d/KT4OxIN89jHHuHC2YtcuzIC3P4OOCQj1yOm+9ftdlz+0vAbgtjKKwx48/k8R48eJZfLoWka4XCYhx9+WMhv3+8IBoOMjo6K3yOUJIH2veR+Y35+nt27d1fIC6srqPa9ox40TcPr9TI/Py/8ePZ52xWgtwPlE23VqL4PWZbF1ERJ3pvPFbh86hpbH9goti2YeVTZ5Rjw5AxncqugOPprneBUrZ2ZnCOXvbcK9ruB8uusairdvV309vfS0uqcUm5hkTezlN8dLcskXogzk55mLjdLWk+/tXMqSsgpFSWlImVkMTHxVp5NKz0Hyielq5+d5Qni5c9QgEJbDjNSGwYVmm3CSJokEomKSefyiWYoeWdN0xQVXdM0S4FkZdXZdDotOjVAKYndDoqDUnU2nU5X9KGNxWI0NTWJe9Ds7Cyqqorf9+LiItlsttG7toEPFBrEtoEPHUKhEC6Xi1gsJmZIo9Eoi4uLNDc3ixh+W37s8/mE9zYej9PS0kKhUBC9acurp263m1Qhw7PZo5xnbMVz2Wj18qh7F17ZDQpCQljusbSJoN1KyF5eXn21/9k+3PKBol0ZtYmmTW7hjv/VfpCX+3CdHu6rHVDYxyw/r3KJrX0+9v50y+D7ieMcz1yuu0+XpPK58ENs9t4Jkykn49X7TyVTnDw+zJH5I2wc2Mjm6GZUeflbXih8x9/0VhNV7xbFYpGl+FLN8nzeOTXbJt95qUDfTmcZ2Y8OPEnIVSnVVRSFbTu30tHVwZvHTpLL5pyJrcPAPqiF2NW/hUggRDxVOWHz4vARAAzLQJGUZa/evn37lnn1/Y/+/n7Onz/PsWPH2LJlC/l8npMnT9Lf3y8qMPcTgUCAsbExmpqaKBaLnD59uqYa7PP5mJmZobm5GUVRRPWoHENDQ5w/f55AIEAkEmF0dJR4PM4DDzxwX86zWCzUJBzLskw6lcYfcPaxV0zSSbD34G5OHh1mamKaxbk4Y1fGWTN0R0VQL0jqbiqMqqyt+vdvWLVy41sj4++7xOG2jjb61vTQ2dXpGJBVDQuLollgKj3JeHqcidQ4RWv5hP8VdoicVlCWNJSEipSTkXgL+3PAvRJb20NfPiFrP49zuRyWYZD31hL5nFnAmwlUkFYb5ZO+dnXWJq25XA7Lsip612YymQqbgN29wSbc8XgcWZYF0bVtSGvXrgVK3//Z2Vk6Ozsretf6/f57TjRvoIH3IhrEtoEPHWxpzuTkpKioRKNR5ufnhTfO6/WKtGM7RKq9vZ2JiQnm50vtG2xviy1JDoVCXC3e4lnrGCnqy2gBIlKAJ7Q9tBXDWAULy20JYpzNZtF1XRBOVVWF38ZORNY0DcMwKuTHqqpSKBTq+m3LyW11lbZ89vh+kdvyfTn5ae39JI0s31p8iZvF2lAiG01KkJ+KPka7Fq15rfy9Vlc7DcVgzj3H3OQcmWKa/e0PIK3CM1vu83unEI/Fa44ny7KjxxZKUmSAK74xVHftrTy/VOChjv01y220trXw0Y8/xumTZ7k+P1LzulPgTtQdRVEUHtq2l6ffeKHitdMjF4gl40T8wXe2zP0ehKqqPPzwwwwPD/P8889XtPt5O7Bv3z5OnDjBc889h9frZdu2bZw+fbpinZ07dzI8PMz169fxer089dRTNftZv369IMZ2u58HH3zwvlWZr1y8yubtm2qW+wN+bly7QU9fDy53LeGGO9JkWVbYe3A3Vy5e4/L5K4xeukm4KUi0NQKUgqQMU0epmsRykiOX7melV8uhSArmMqqRclQT2/jCEvHYkriv2pN870WSGwoH6e0vSY093tVNuKSKKSbS40ykx5nJTL+1CUADlISKktBQllQkY/Wp2neLlUhtvcDE8jwK+zlrTxzbz1B33kvezIBceS3y/izqpFtsV30+duU3n88TDAbFsTKZjMjysP+2LEv8Dm0/vN2H1rIs4vG46NwApWqtpmmC6MbjcQqFgtjGMAxmZmbYsGFDQ1LewAcKkvVevNs20MDbhJGREVEVPXPmDG1tbWK2cmxsjGKxSG9vafY/lUoxOTlJU1MToVCIbDbLwsICpmkKLy6UZEQT8WneUC4yYk0ue3zJktglD/KQZzuapArJkaIoFbJj+2dph1PZCYk2+QXEAxHueHfsRvBwp3+uU0qxXfEFHMOkysmi0y3ibpOSy7cr33a8MMdfLL5EwqwfcjPo7uInIg+XqtpVWGnwmGxKkGhfQpVVfnroS7hEyq+0KoJbWlPGozgnyZqmyfnz57l58ya5XA6Px8OaNWvYvHnzivvOGVkhY5SQGLs+xo2Ryiq/PSnw4KO1PWLHboxxdvQCZwNXHfc/fmyan9nz42zeupFAcPmApfHpcU5kj985riQ7emzXh4foC/TzV69+j//8l39U8/q/+0f/jEd3HhTvqSbsqYEPNb7//e+zdv0aevtrQ850XeeNV49y8KEHatLCy3FHTWExNT7Nm0dPoWoKex/dictTSsb2qwFwUBw4/eZL94wqj6xlYlgGHtX5d28TZNMyyBmVk5jDR88yU5Yc7pQr8G4Ou1xuFz193fSt6SWyiiR50zJZyC0IMrtUiL+l40t5SVRl5ZSKZL0zpGq11Vp70rf6c9M0rUYyXygU0HUdv99PqmuRQrB2EtJzMYgHb03FNpfLUSgU8Hq9JJNJ2tvbhaVoZmZGjDsApqamUFVVkNL5+XkSiQRDQ0PIskwmk+HGjRusX7+eUCiEZVmcPXuWtrY2BgZKbecuX75MOp3mIx/5CJIkMTk5yZkzZ/jUpz4lKsMNNPBBQKNi28CHBoZhMDs7K3y0douR5uZmESI1NjZGJpPB5/MJOd7i4iKFQoFsNovL5SpJ59JpPB4PmqZxzrzB8/Jx8latx6Yc7XITH1V2Eyp4kAxALT1EXS4XhULhjsfp9syuXaUtlzmXh0mVB0dVpyfbftvlwqRsSbJTmNT98Ns6VVLLBwqnMld5eukI+jKVkYf8W/locJejZ65crl3+XxsWFulISR72UMeDZaTWftXCMkGSnP19q8GlS5cYGRlh//79IpTs+PHjaJrGhg3O/WSrISHhlr0Mrd/E0PraalY9bFy/iY3rN/GT9VY4uOpdsa57PetYv+r1v/T45/nS459f/QHeI7hx4wbDw8N87nOfe7dP5UOLM6fO0tLajNdXOdBXVZUdu7ehauqKQXa2mqKzp4OHgw/xxitHufDmFXYc2oJX9SNJ8qrriE73Nwmprk+3vOpbXa3NZrLMTlYmuZcT2XLFzDtJcmVZpqOznd41vbR3tq1I8opmkenMFBOpcSYy4+SNt+YXdhc8mPMWypJ2W2L8zlYI76a/sv35wB0rUHU3ARvlmRaulMeR2OqhIq5cbf6Bvd9sNitaBgIiaMpu6VMsFsnn88Lnbier2+0HoVSN1TRNVHQTiQS6rgsvra7rLCwssG7dOvEeJicnaWlpaZDaBj5waBDbBj4QiMfjHDt2jE2bNhGNRrEsi5MnT+L3++nvL3kyR0dHmZycFD7a1tZWFhYWSKVSBINBAoEAHo+H2dlZent7URSFUChEMpkUrX7sh0ChUGBsaYLD2kVu6jPLnpuKzIPaNva5NyFLMlkrSz6fr6iS2g85t9stpESmaVIsFpFlWfh5bNJavsyuQJfLfm3SarcTWE2Y1P3021aTZBuWZWFi8f3EMY6mL9XdXpNUPht+kK3eNY6vl0ubnWTXAAVfHsOtE1D9bIg6k8ySd1nCtKxVV3DLsbCwQHd3t2iV4Pf7uXnzJrFY7C72cv/bCTXQwHsVelHn1InTHHq4tm9mKHynfU85GXRCSZosEwoHeezJhzn8ylHSC1lCnZG6x15tT9sSeV6ZDJlVxPbmyPiy98V3muRGmyL0rumlp7e7rsTbRrqYviMxzk5jWveeqK1KKu2eDswFiF9fQirKrC5j+t1B+fOv+rMoz64o963b6iZbLqylPWAt1dgwzIiOMlf77u1nmK7rFe2z7Il1m+imUikURcHvL/nGbauSvY1plsKpWltbxW9lYWFBTM7bf5umKZ5TuVyO+fn5ZXuGN9DA+xUNYtvABwJ2j8dr166xZ88esezatWu0traiaRpNTU3cuHFDhETZoVCxWEz0sO3t7eX69evMzMzg8/mIxWKif2w+nycQCGBicd59i1eMUxj68g//NWonDxlbCBt+MaDyeDwYhkGhUArGkGVZ9KUsFAp4PB5RoTUMg3w+L3y+LpergvDaFdpqv62iKDVBUuVk9F79tva29t9OA7F6pBYgZWT5Vvxlxgr1JwOiSoCfij5Gh1abxFo+ECxvU+Q0I29Xaz/a+1HH1h2WZSErdyo7lt3C4i6IZnNzM9evXyeZTBIMBonH48zPz7Nz585Vbd9AAx9GzM3McePaKGsH16y4bvk9qBo2uXW53Tz80QcrX8O5mc9qQ6TkVVQVyyu2elFnYnSygqguh7eL5Hq9Hnr6e+hb00swVN8bbVkWC/n5UlU2PUG8sHhPx7PhV/10+3vo9HSxdCvJyJnrGLqxqgmCu8XdqIhW9Vnfvu6SJFX0dndSPNnQdR2407LLKlpIKQUrWDnZYfp0DNlAMSufQeXfaVumbEuby6uz6XSaQCAg1k8mk2iaJiq6yWQSwzBEv1td11laWqpIOp6dnaWpqUkcZ3Ky9D3t6XHue95AA+9nNIhtAx8ISJLE4OAgJ06cEDOe3d3dXL16lZmZGXp6evB6vUQiEebn54X8uLOzk+vXrxOPx4lGo7jdbjo6OpicnCSbzRIIBAiHw+TzeWZmZrgSH+V5/U1m9OUrch40nvDtY6s2gGmaJJNJcrkcbrdbeGBtQubxeMR/M5mM6KcrSRJer5d0Oi3aDAEiYKp8md1qqFqSbPe3teVS9citHYRhk+Dy5OTygWCNZM8hPRJwJLWTxQX+39iLLJm16ZGdwVai3jA9WgtPBHfjkV119+006KseTJqySbGtwFrfGrp93c5VGkn8v1pY5evUx6ZNm9B1ne9973vifLdt2yZUAg28e3j++eeBUrCSPfHVwHsH589coLWjlUCgNsG4cr2LhCMh+tbU9k+GylCpar+sjGybDsSy+iFStXLk5VBdrZ0Ym6JY1MX+7oZ8vVWSqygKXT2d9K7ppbWtpS6Z080iU5kpJtLjTKYnyBm5VZ1fPbR4Wuj299Lt7yGshbk1Ns7ZoxfIZd/afu8nliO21XkT1Uni5X9XK4/sbgg2isUiakKjWEVskSDvy+JLVUp+7WPb9iYoVWtlWRYENJfLoeu6kBibpkkqlRLjFyj1rvX5fGIssLi4iGVZondtLpdjaWmJbdu2iXOfnJykp6fHMRm9gQbe72gQ2wY+MOjr6+P06dPcunWLoaEhQVKnp6fp7u4WRPbixYuk02n8fj/RaJSWlhampqbweDzous7s7KyoWtqkU3YrvOkZ4c3sJVbKutio9LG/uIEWq0mQRK/XSzabFQ9QuyqbyWTQdV083Dwej5Aa2QTV3rac8Np+2/Jltle3fFvbg7uS39Z+v/fit7WXOSUf2xjOjPC3S4cd/bSdwVae/Zlv4FHfWw9Zy7K4fPUS4UiYzjbnEJlbt24xNjbGgQMHCIVCxONxhoeH8Xq9jd6A7zIeeOABhoeHee211/jkJz95Vz67Bt5+GIbBqWOneOixB+uSj2wmy41rNzBNk4W5Bbbv3lZDPqDMd4t1W0JrIUkyslQih9VeWOeqbb0ab53zL9unZVmMjdyq+Ns+r/K/VwObyJZPOtYjuS2tzfSt6aWrp6umjZKNzG2J8fh9khh3+rro9vfQ5e/Geztca25mjpdOvyLald1rLsO7gWrJsY3y+4WTtxYqQxt1XceT9VOkltTnfJkaYltNpm2/rd9/p+1VKpUS/aXtv03TrOhdm0qlKiqvsViMaDQqzm12dhZFUWhvbwdK/ttUKsWuXbtWfY0aaOD9hAaxbeADA1VVWbNmDWNjYwwODqIoCn19fUxNTYmKbFNTEz6fj7GxMYaGhlAUhd7eXtLpNKOjo1iWhc/no6WlhenpaRYWFkhGCnxn6TXiRnLZCl5I8vMjwUMMunpYWloinU4LD6zd8xZKPkzbP2NLje0+eaqqCoJa7qMtX6aqKoqiVJBWuwWB7cEt99Y6LYP757cF6pJawzL5QeIERzIX6163Vm/0PUdqofQ+R6+XUoo7P+HcJ/b06dNs3LiRvr4+ACKRCJlMhosXL34oiW11ONO5c+eYnJzkySeffMfPJRgMsn//fp5++mkmJiZE2nkD7x3EFha5dmWE9UODjq/fGrsl7iljN26SWEqy54HdBILOVV5JkkpVWssS4U+SJCFZ0optaarvayutX16xnZ2aJ5uubfFWPnHoNOG3HJyquJIkEQgG6O3voaevG5/f57hdLH8nxXgx/9Ykxj7VR7e/hx5/L+3eDhT5zsRCMpHk3OnzTE8tnzNxv7Fa0uw0mVVNUsuvcflnVD6BUv2anYth78smuh48ZPMaursySDLvyWFJJpJ153zsjgb28XO5HKZpCl+sYRhks1mi0ag4TjKZxOfzic4IiUSpl7gtXc7lcqTTaUF0LavUu9ZOXIZS71qPxyOIbgMNfNDQILYNfKCwbt06IT/u6uoiEokQDAaZnJwUD4iNGzcyPDzMzZs3WbNmDfl8XgwiNE2jvb0dWZYJtkX4i1vf50psfMXjbmeAB6yNtGulFMJQKCT629rkMhAIkE6nhcRZkiRRJc7lcvh8PpGS7OSttX255b1sTdMUYVLlTeTtnnv2cvvBbC8rJ7f36retrkpUD9zSRo6/jL/MjcJ03esWUfx8NvJg3dff67CvczneT9UKgKeffpoNGzasOsX5/QS3200wGBQDwAbeXbS0NpNIJCp8jJlU/VZfnd1dXL5wVdx7luJLvPT8y+zet5OuHufJJqfqryzJlRXWVYZI1fPjVleBR6/erPseyu+x9t93C1VV6e7rore/l+aW2uwB3dRLKca3JcZZY/k+6iuh2d1ckhgHeoi6ojXXIJ/Lc/HCZUZHRh3fz3vx/lfvc7RR/fyqR2ztiV6bXAIVFiBX2lNDbJEt8p4cnqxP7COfz4tnOCDSke1KayaTwTRN0fJH13UymYxo+QMlGXIoFBKkNRaLoSiK8NvaFih7G9M0mZqaYmBgoKFgaeADiwaxbeADhVAoRFtbGzdv3qSrqwtJkhgYGOD06dPMzMzQ3t6Oz+djw4YNXLp0SSQKulwu4a1dXFzkhjbD/5h/mYyDrKgcbWqUz4QfoZ0Ic3NzJJNJAoEAmcydwZosy4RCISRJIhgMsrS0JHzAkiQRCARIJBLkcjlBZG2/bT6fF71sPR4P6XRa9Eu1Ca8tU7bX0zStplWQpmkUCgVBxJxmrVfjt60mt/a61QOZqeICf774IktGrZ/WxlpXBz8ZfYQW9f3rf+zq6uLixYv4fD7C4TCLi4tcuXLlA1etXS59+p04dmMQ9sHAlh2bGdq6nvnZBaanZpidnmPDpvptpoKhAJu3beLc6fPAbclnUefY4RMMDq1jy3bnftFOk02yJWOWWSFWGyLlhPL9LC0miC/EV9zmbuXJkiTR1tFG35oeOro6aiTYGT1TqsqmShLjarn13UBGpsvfddsv241Xra0EQ2kib+TqdS5fvIJ+20/8XoT97FrpM64nQ3aSu9vr29VZm0zaIY22XNiV9pBpStZsm/NlBLG1gyNdLpfw0VZXZ9PpND6fT/h4E4kEkiQJopvL5chmsyLp2LIsYrEYra2t4n45OzuLx+MRFd25uTmKxeIH7vnUQAPlaBDbBj5wGBwc5PDhwywtLREOh+ns7GRhYYGRkRHRsicUCuF2u8WMZ1dXF7IsM5uL8c3Y9xiX5pY9hoLMbnOQR317CLpKwQ7hcJhEIkGxWBQkFkqtiLLZLD6fD0VRCAQCJJNJEf4kSVKpwXsqJQhqud+2WCwKH63P5xMBU+WEN5fLVaxX3vPWngF+K35bJ3JbLc+ycSZ7ne/ED1Ok/kDroH8zHwvuQanTK/K9hKuFCT5R57Vdu3Zx7tw5Tp48KT7PgYEBNm/evOr9FwsFPF5nDy/c9vpevsz169fJZDIVx7A9vQsLCyiKQk9PDzt27BCDoWPHjlEoFGhpaeHKlSuYpklvby+7du1ClmVefPFFMpkMw8PDDA8PA/D5z39eSIr379/P2bNnSSaTfOpTn0LTNE6dOsXk5CSmadLa2squXbvEd301uH79OpcvXxY+9/Xr1zM4WJKiptNpnnnmGQ4cOMDIyAgLCwvs2bOHtrY2Tp48yfz8PKZp4vf72bFjB52dncseq1AoiJ6PDby7sIOdFEWhvbON9s62268sTy7XbRhgemqG2HysggyqmoJpGcgoqyKoeSOLLCkocv1hj5Mc2amyWy5DHrtWW61dTrVR3VqmGqFwKSirp78Hj8ddsd1iPsa4kBjfTUuxWkhFmVa1lY2dm+j0d6Euc10Axm+Oc/7sRTLp+hX2dxPV9hl72XIof/aVwyat5fu21ysWiyKMERDPe3sbKSMjFSQsV+U+c74s1kLp+5TP54WdKJfLiYlwu6WPreKy5cKWdad3rU264/G4aEkIiPGD3bvWMAzm5ubo7+8X5zo5OUkkEmmE6TXwgUaD2DbwgUNXVxfBYJCzZ89y4MABVFVl06ZNLC0tcenSJfr7+xkZGQFKUsV0Ok3R0HktNswz8VcpSMVl97/W3cVno49AXCe5lMStuTFNk2w2K2Z+m5ubhVTJDnjQNE1IjexAKNtXq6qqWGb3q1VVVRBU22sry3IFadU0DVmWa/y21cFR9jLbb1u+DOr7bZ3IrZOfVpIkDMvkucQJDqcv1L12Kgo/Gj7IDt+6VX+eL774IpFIZNVhF4lEgmPHjhGPxwmFQm/J3xkzExzJX+Cf1Hld0zR27dr1loI4rl66xu5de+q+fubMGW7cuMHOnTtpaWkhm82STCbRdZ1XXnmF5uZmnnjiCXK5HCdOnODUqVPs379fbD83N4fX6+XRRx8llUrxxhtvEIlEWLduHYcOHeIHP/gBAwMDDAwMVBzXMAwuXbrE3r17cblcuN1ujhw5QiqV4qGHHkLTNM6cOcOrr77KJz7xiVVVVcfGxjh37hy7d+8mEokQj8c5ceKE8MfbOHv2LDt27GDfvn0oisKJEycwTZPHHnsMVVVJJBI1g89qJJNJTp8+jdvtFlWNaly7do25uTkOHjwIlAZ+Fy9eZHBwkJaWFgzDIB6P09fXRzKZ5I033mBoaIjW1lbi8TjXrl0jl8vx2GOPoWkai4uLHD9+nD179hAMBoU94JVXXqG/v5/+/n4sy+LIkSMoisLGjRsxTZNLly6hKAr79u1zPC/72o2NjfHwww8Tj8eJxWI0NzfjcrlYWlri3Llz7NixQ6ShOiGnZ1f0jt4Nlpd3Vh/Huudj79q7g5eee0Xcc5pbmxkcKt1DSuRWRlpmksyyLNyKh4JZEMRyNXJky7IcebdpmUhI5HI5FmYWK9JxxV5WYUmwr5/L5aKrt5Oevu6KXr66qTOXmWUqM8lkZpJcmcTYJd99LoGcVVCTGj2hPrYObsW9Qm9bKPmgL5y9SHwxDuD4Xt9NlCtJymXfK92PygMPobJqa7fQKz8G1PauBcREsfi7qKMkXOgt+crjKSYFdx4t60LXdQKBgCCp2WwWr9db0btWlmUxYWgHRdoTeZZlsbS0RFNTk3gPCwsLeDwesU0sFsMwDHHvKxQKzM7OsmPHjhWuaAMNvL/RILYNfOAgyzKHDh3i+eef58KFC2zbVkrS3L59O4cPH+by5cuEw2H6+vqwLItXzr/BX177Y6bN5WfAXag8pGzjsZYHUBUFo9lgamqKWKy0ndvtprm5mfn5eRYXF2ltbUVRFMLhMIVCgaWlJaLRqEhJLhaLZDIZ0aPO5XJRLBYr/LaapqHreoXfVtM0DMOgWCwKslvut7VJqN3Ltpyg2v+qe9xCrd/WidxWk1p724yZ41uxl7lemKp7/cKyn59qeowurfmuPs9Dhw7dlRT1/PnzqKrKJz/5yRXJz0p4KXsafZnK8/3A+mWkmMVikatXr7J75zGAYwABAABJREFU925B/AKBAK2trYyMjGCaJg888ACqqhIOh9m9ezevvfYa27dvF+0fbPJtS+I7OzuZnZ1l3bp1FfJ1b1XV2DRN9uzZIxI4k8kkk5OTPP7447S0tACl5OG7CWc6f/48O3fuFOEmtgx/ZGSkgtiuX7++Iukzk8nQ09MjzsUOWFkOR48eBeChhx6qKy3M5XIkk3dkg11dXWSzWS5cuEA6ncblctHT00NfXx/BYJD+/n5Onz5NsViktbWVvr4+jh07JghMNBqlubmZV199lUKhwObNm9m6dSuJREKExUiSxPbt2zl16pRoSdTR0VHR+7j6vKA0uLW9wrIsMz4+ztmzZykWi/j9fgYHB5cltWBTy3tPxa3ZXx3eVk54lyd3TsTSqlnu8/vYsmMzwydOo2kqu/ZtrziGaVnI1Jedlu5pCi7JjWFWphkv75GvPXcZGU3WAI1EIl0zIVR/X1X7uU1cwk1hAgE/knw7iMgsslRYYqmwRLKQxMJEU1z0B9fUPU5dWCDlZZScipwvVffaN7ThWgWhLeQLzEzNsrS0RHNTM81Nd3fffrtR/kywP0f7ubSa50X1xGy5LNkwDMbHxyvIbfk29v3EDlusSUfOeElRSWwB8r4MVik4Wiiz7P3Y9zbLcu5da+d0QIn46rouvLT2BFxPT4/4Ps/OzhIOh8U2U1OlZ7MddNhAAx9UNIhtAx9IhMNh9u7dy9GjR4lGo4TDYU6fPg2UHhx+vx9LgaenXuH75uuYK1QStvkH+WTwIImpRZbicSKRCEtLS4IMulwuWlpakGWZtrY2JicnicfjNDWVWv40NTUxOztLIpEQPppgMEg8HieTyYiIf7/fLwIfbCLr9Xpr/LZutxvDMCrWs/vbFotFQURtElwuP1ZVddV+W5sc1/M5WpbFjL7In8VeIG6k6l6/Na52fjLyCAGlkjytZma9PKRjNUilUnR2dgpZ11uBU8/d+43lKiCJRALTNIW8rBzJZJJwOFxB3pubm4VszSa24XC44hp7vV6WlpZWPC9Zliska7bHy/Zrwd2FM+m6TiqV4vjx45w4cUIsN02z5hqUHwNKRPfNN99kenqa9vb2CpJbD0888UTNsrVr17J27Vrx99atW9m6dWvFOuvWrWPdOmdFwdDQEENDQxXLqv1qe/bsYc+eygr8U089VfG33+/noYceqnvuTudVHvAVCoV4+OGH627/bqMembOrqvcSLtS/tg9FkdHcGl5f5X1EluS6pLZmPVnCsHRgdVXbyqUSFnYfU5O5mTkM4+4mCvwBP9HmCNGmKKqqYFmQKWZYzMeIFxZJF9/aPUcyQMoqyDkFKSsjAV6/i66+bpEmvVzlXNcNZqammZuZf8+HQNX/nq38XSjftrxa63a7Rfs9m9iWV2yre9fa3QvgTjqyTw+QNpew5Fo5spkvTURXh1P5fCX/rW0rsmXIpmmSTCYr/LdLS0t4PB6xTTwer3hOFAoFFhcXKywxk5OTdHZ2iudCAw18UNEgtg18YNHf38/c3BwXLpSksT6fj127djEzM8PR8WEOz15kvhhfdh8+y82nox9hf0upubmrRWF+fl40UrdnTGdnZ0mn0wSDQTRNo7W1ldnZWVKpFMFgEFVVaWpqYmFhQXgL7Rn76uAom9yWe3DtMKnyvrU+n490Oi38toDw5ZYvW8lv6yRJrk5KtpeXJyubpsm57A3+Jv76sn7aB3yb+Hhob42f1iZbKw2eyqXITz/9NAMDA6RSKcbHx3G5XGzatEkQkW9961tAqUn9hQsXRMVsJS/qexX1Ko13g5XSQJc79v0Mi7IHfXv37q0hrtXHqX7fAwMDItxtZmaGS5cusWPHDtavr1/tbsAZyUKSmewUzZ4Wou7ahN23E8sRkcrXaqu2AD193RX7sbCQpbv7nkqShIKKaZmlCvYqAoYqyVRpu9jCIoXC8rYVG5pLo7mlmZbWZjzeknVlqbDEQjpGPL9A3iis+vwd31NBQs4oyBkFqSgLAq66FHp6e2huXflztkyL2Zk5JscnayqV7wUsR2jvxldbvQ97W5vYLteWyZ4strfXdb2CKNoqKkVWcGe85AKVfmRD09G1IkH3nUwCy7JEuz4oqVNsa5L9d3lF1zAMEomECMeEkuw4FAqJc5mbm0OSJDo6OoDSZO/S0hJbtmxZ1bVpoIH3MxrEtoEPLLLZLKlUCssqBZZs2bKFgqTzXPEEL3EcVhiTPBjdye7COsyETiFUoFAokEgkxAOoo6NDPHzy+TyxWEx4EX0+H6FQiEQigaZpeDwe4X9JJpPCa6tpmgiEUlVVzOSW+23tZXZIlGEYgoyWB0fZFdlqD+5q/Lb1wqRslA8cLMvCtEyeT57ktdS5utdPRebT4YPs9NX2qCyXNN9tVeDKlSts3bqVTZs2MT4+zsmTJ2ltbSUUCvHpT3+al19+mY6ODoaGhsR7XI0X9b2IYDCIoijMzs7WyG+DwSCjo6PiM4WSz6o8uGw1KJ+4WA6hUEgkb9pS5Hw+v+pwJo/Hg9frJZVK0d/fv+rzs+Hz+RgcHGRwcJAzZ85w/fr1BrG9B2SNLG/OHafH38uDnbVVX8sygXc2Abvy+7fccUuVVPvcJOpXaufn5mlpbXHeiyShSEqJ3Dp895eTENvqnvnphWXOE2RZItoUpbm1mVA4SMEosJhf5MZijKX8Iob1FiThFkg5uURmswqyUTVpqMh0dXXS1tm2KlluPBZn4tYEuVytfPbdxupl7atH9bOtWmK8HOzraU/U2ZPFtu3HrqJ6Mr4aYgtgRnTcZmnSuVAo1LQcymQyhMNh8b4TiYQYP9h/W5YlJgftgLzye+Hs7CxtbW3i3CYmJtA0bcWwvQYa+CCgQWwb+EBidnaW8+fPI0kS+/btY2RkhDduneRY8SIpPcv66JqK9ZfySWYzpYFKVAry9/ueYkOgH8MwuHbtGuPj40LC3Nvby8TEBLOzs/T09KAoCq2treRyOebm5ujo6EBVVaLRKPl8XvhtVVUlGAySz+dF8INNWMv9toqi4HK5RDKiLXWyZcWFQqGib61NWu317PApu7/tcn5b20drGEZFhc6WWMOdgYVdqU3pWb69+Aojhcm61z8k+/hC0+M1ftpy6fNyM+PLobOzU6Tobty4kStXrjA7O0soFMLr9YrrYk86rNaL+l6EHTB05swZZFmmpaVFfH/6+/s5f/48x44dY8uWLeTzeU6ePEl/f/9dvSe/38/c3By9vb0oilJX+h0MBunq6uLEiRPs2bNHhEd5vd6K3orLYcuWLZw6dUoMsgzDYHFxkUKhUCPxLcepU6fo7OwkEAhQLBbF593A3cOv+hkMb6DVUytvB9AtHbCwDIvTx88TCgcJhUM0tUTv2hbw9sAmOvUrrYmlBOeGz+P1etl7cE9dwiJL8m3fsRNhKpFoyzKRpNL2pXuiSWIpRSHvXGUNhoK0tDYRjkbIWzli+Rg3Fq6TKtS2gLkrGNwhsjkFyXJ+761tLXT3dKG6VlajpFMZxsdukUxW2kjeDjJ5t7ibtkh3W60t37Z8m3qTAHZFt/z1arVTsViaKbcruu6s11l4EDXh9pyIHThpn382m8UwjJretbYsGRChiDZpjcViFeqxVCpFOp0W91PLspiamqKvr+++KIAaaOC9jgaxbeADiba2tgpfou2r+0Kd9fNGgX/w3X/ONu861iw0E0q50T06s7OzIiDC7/eLSlNvby8jIyPMzc3R3t6OLMt0dXVx8+ZN0UtOkiRaW1uF37a5uRlJkohGo8zNzYkwKUkq9bK1+9sGAgEhNU6lUiJMqtxbWy5TLl9my5ldLpcImCr329oBU3aFttxD6+R1hEop3oy+yJ/O/5BFo/4grd/Vxt+JPib8tOWhHDbuldQCFb5Pu2ptB/M4YbVe1HcapmkwMz1DZ53EXhubN5d6dZ47d070MF63bh2qqvLwww8zPDzM888/XyGxvhts3bqVEydO8N3vfhfTNPn85z9fd939+/dz6tQpXnvtNdHu5yMf+ciqw70GBgZQFIXLly9z5swZMdGwUuXVsixOnjxJJpNB07SasKUGVgsLv+ZnT+u+iqXlJEKTXYCFbhn09vdQKBTIpDP4Al5ct8lSLYF45/sbg1RTeYPSewiGAjzyxEfIZXMkE0nCkVDd1GRJksCq9Z3ahKl8qYmJBMRmFivWdXvctLQ2E2mOkiNTIrOx6+SNt1YBlQpSichmVeT88r+xcCRMT18PXt/K97NCvsD4rQli886BiU7XtXr524XVEtp7RT0l0nIol2bb65dXZ21Zsm0TApAtGXfOQ96bq9yXV0eXdRRDEc/sQqGAaZqkUik8Ho8gralUacLBfuYVCgUymYzw9VuWxcLCAs3NzeL5Njs7i6ZpQlWzsLBALpdr9K5t4EODBrFtoAHArbj4pY0/TUQKMOOdYXx8nMXFRWRZpre3F0mSGBsbY3FxkWg0KlqIjI+P4/F4iEQiYsA9MTFBIpEQZKq1tZWZmZmKZU1NTczPzwsPru23XVpaEj1vbb+t7cG1iazX6xXeWvtBai+zCS/c8duWL3O5XI4yZbtqa3uEoFZ+fD47yn9ffJWCpde9jvt9Q3w8tA9VqgzGqB6srHZA4YRqEvVW9vVuIplIceS1Y/T09vCRhz5Sdz1Jkti8ebNjb9xIJMKjjz5ad1snqXV1a6Lm5mY+/vGPVyyrDlmy4XK5eOCBB+oebzXhTHbbGyf4/X5HYr179+66x2xg9TAtE9MpFbnq5yNRUme0dd5JWa4gOLfXEX/fY8XsfsJJzuzxevB4PbdfN5cltxI2ka3ez52/DdPAyBukU2kURaGpJUqoOUxBzbOYX2Asfv0tSYy//xfP8rWv/j7fff0Z5IzC//P1/4dXXnmFP/mTPxHnWX2vW1xc5KmnnuLYm0dXJLWmbjA1Oc301Myq75n3QnL/7b/9t6RSKX7zN3+z7jo///M/z+DgIF/+8pffEnm+13u//VyySetyk3O2+sk+nl2dtcmkrYSyCakNd8ZXQ2wBct40ynxpXZvY5vN5stlsxYR8MpkkEAiICefFxUUURSEajQKIUEl7G9M0mZubo6urS5zvxMQEwWCwJteggQY+qGgQ2wYauI2IFGBxcVEEL1iWxeDgoEjXTafTTE9PC69gJBIhk8kwPz+P2+3G6/Xi9/tpamoSfluv1yvWjcfjYpnb7a7x4Kqqit/vryCtsiwLD64d/iTLsvDglldf7WXlhHclv639wLTJbLkEWbQiMA1+mDjFK6kzda+dgsxT4QPs8W9wDKCy/y7HO0VI36oXtUN+ewYEiaVSknA69fYnLzfQwN3ASZq7qt+qA0GuRgX5XUW7oLeG2sT35fZfr3oret9aBplMjq6BTgquHIuFRcbTN9/aKRql/rJyRkGNuZAsCTVZui9/4Qtf4Cd+4ifEqr/+678uCKOmaXT1dLFr7w7GJkZFhc4RpsXc3DwT45PoxfoTkythtST3y1/+8qq+L8s9H1aDu5Eh/9t/+29JJpOCbFevX4/YlvtvbfVWdS5Fue2nHJ6Ml4RDl6SsN42aKymkbHl/Op0W6i0o5RfkcjnRwsvuXRuNRit617pcLhEsFY/HKRaLwhqi6zozMzNs2bLlXZ10aqCBdxINYttAA7cxOjpKLBYjGo2yadMmrly5wtjYGBs3bhSV23Q6zfj4uJBUdnR0kMvlmJ6epre3F1VVaW5uJpfLMT8/T2dnp5Bb2n5bTdNETzo7kEpVVVRVxePxoOu6CI6y/ba21Nj2j6qqisvlEn5be12btNp/ly8rX89+OBcKBTRNqxgc2DPYpmlSlA2+FXuJK7nxutctKPv4qeij9Lhaa1ooVA88nMjt24234kX1Sm4ekIeEB/l+wbIsFuaWD59poIH3O+4nQZYdqq12hdW5ZU/9+8ty6cySJLEUX+KNw2+g6wb7HthLc0sz87k5pjPT+FQfyUISvXDvBFEqlqUYF+Q75191WrbUtRpd3Z10dLUj374n2em3TliKJxgfu0U2W1s5fCtYjuSu1Gf63fbw2p9zvfdQDvt5qKqqaJ3n1LvWbsVXDsVQ0fIuiu5KP3bOncVlKERDUXEuuVwOv98vJl+TySSKoojJV3ty2668mqbJ4uIinZ2d4rh2yKC9zfT0NKZp3lNYXwMNvF/RILYNNHAbpmnS1NQkJJ8bN27k9OnT3Lx5k/7+fmRZZmBggEuXLjE5OUlPT48gvNeuXWNmZkZE8Hd0dHDz5k3m5+dpb29HkiSam5uZmpoSqbKyLBONRpmdnRVhUrb82A6NsP22NuG1/bayLAvCWygUKvy2pmlW+G1tqXGxWBQBUHbohV25tWeA7fV1XWemEOPPF18ktoyfts/VxheaHyeo+CpaJpQ3ni+flX83yO1b8aI+4tmOlDR5+umnHYNzZrqnMZTK1hi9wV4e7voIt26Oc+3yCBs2rqert9pHazE1OfVW3lYDDdwVamW27x/Ua8tjV1gd5dWlDR1RlwhbEn/49W/wK//8V0mnS0oKzaXy1M/+CD/yjz+BS3YxFNlU9zx/8Sd+iTVDawB4/r8/j6Kq/OiXPs3P/NJPI+cV0jMZfvc3fo/Drx2mUCiwa9cuvvzlL9Pb2+u4v2984xtCivyNb3yD733vewCsXTMAwA9++Cz9a/oZWreRY28eZcfO0j3twvkL/It/+i947bXXMU2T9evX8yu/8iv09PRw8uRJ/st/+S/cuHEDVVVZu3YtX/3qVx3J8dTUFD/xEz/Br/3ar/Htb3+bS5cuMTAwwFe+8hXS6TT/8T/+R27evMmOHTv41V/9VfEMq66OZrNZ/tN/+k+8/PLL+Hw+vvCFUtpF+bOgUCjw9a9/neeee45UKsXAwAD/+B//Y2FDWFpa4rd+67cYHh4mmUzS3d3Nl770JT72sY+J78ULL7zAH/3RHwmL0IYNG/j3//7f86d/+qd897vfBeDBBx8E4Gtf+5rw6S/3DCoPVrQTlO1nqP16OdGthifjqyG2SGCGdbwer3gmF4tFERpl5z+EQiHxLLUVX/akwdLSEoZhCBmyrussLCywYcMG8X4mJydpa2urO0HSQAMfRDSIbQMN3MbatWs5deqUiMr3+/0MDg5y5coVAoEALS0teDwe+vv7uX79OgsLC7S0tKBpGr29vaLiawc5dHR0MD4+TjweJxqNoqoqbW1tTE1NkUgkiEQiIs1wdnZWeHBtiawdJlXut00mkxU9b+3+tvl8XswYezwe0um0WA9KvWzL+9vaD1O7ems/rO0H4qXCLb698PKyftp9/iF+JHJA+Gntfdqobhu0HLldDo899pj430899VTN608++eSyf8PKXtR6+MQDj3Nj5DqT41NkMlWtGySYbJmsyc1p87VhYTF2o+TJ9ga8WFUD70w6855srfFBQk7P1hA507ozCTF5a4qe3m4kBwlisVDg5PFhspnsssdYt2Edff09tcfO5jh6+Pg9h6TdUWYoKKqCoqpkghmKviKarKEpGi5ZQ1NcrAutRZFVisUixXwRRVVwuV23faN3UD/99/0BExOFWtWEJElIlnRX763eus/87Xf58s//YsWyYkHnr3/nf+CNePjYFz7GSreuH3z7OT75U5/ga9/5Pa6euMb/+a9+iy5PN5/50c/wr/7FVxgfH+c3f/M38fv9/P7v/z7/x//xf/Cnf/qnFeF21QiGgvybX/8qiWSCRCLB//1HXwegqamJycnKdPqxG2M89vDj7Nixg9/+7d/G7/dz9uxZUW38l//yX/LpT3+ar371q+i6Lvq8L4dvfOMb/MIv/ALt7e38u3/37/jqV7+Kz+fjy1/+Mh6Ph3/1r/4Vf/iHf8g//af/FKi953/ta1/j1KlT/OZv/ibRaJQ/+IM/4PLlyyLdHuC3fuu3GB0d5d/8m39DS0sLr7zyCr/0S7/EN7/5TXp7e0Vy+t/9u38Xv9/P4cOH+fVf/3W6u7vZsmUL8/PzfOUrX+Hnfu7neOSRR8hkMgwPD2NZFl/84hcZHR0lk8nwy7/8yyiKUpGqXk+GXF6ttd+PYRiEw2FRFbUnm+uRR6/kQXPXfm/VHhehQukc7PColpYWUb0NBoN0d3fj8XiwLAtZlitURsVika6uLhEsFY/H8Xq9dN0OI8xkMsRisfd8S7sGGrjfaBDbBt415HI5zp8/z9TUFLlcDpfLRTgcZsuWLcIvtLi4yMWLF5mbm6NYLOLz+WhtbWXjxo3iwTI+Ps6lS5dIJpNYloXP56O9vV2E5Ny4cYPh4WE+97nPLXs+HR0ddHV1ce3aNQKBAD6fj7a2NhKJBLdu3RIPr2g0Snt7O7Ozs8JXGwgEaGtrE8vsdVtaWoQH1+fz4Xa7hQdX0zT8fj+apgkPbjabxev1oigKfr+fVColyKjtt7U9uPYyOyTK9uDW89vaPW/z+bxISIbSQ13X9dLMM/BC4iQvJobrXicFmaciB9jrr23PUt7Kp5y8vlVy+24h2hQh0rST7bu3MTM1y/jNcaanZjANs3T3dJjo96k+DN1gfn4BRVUIh2vb0sQWFms3bOC+okTjKolleWWvo7ed0dEx1gzUyvRUl8rGrUO88sKry3oSh98cpqWtGa+3UtLu9rpp72rjwtmLb/Fd3MGif5Hx1oma5T8x+DnWhQdIpZK8/sIbWJbF3kO7aOtsRZZUZG6rMW7/33IE0LLsLq0WGT1bItGyWjd06Z2GaZmOkuSV3lc9lEucJUni//qP/7nuut//wx/wyOcfQTd1imYRwzKQJBlZsvckgSXR1t7Gl3/2y8gFhfWHhhj7iZt86y++xe5dpRZj//W//le2bdsGwFe+8hU+97nP8corr/D444/XHFNRFdweN0ObNwDg9ZYS4J2qq6ZhMjUxxW/8+m/g8/n4tV/7NUHI+vr6gFIP1FQqxYMPPkhPT2lCZjVpuV/4whdEaNznP/95vvKVr/A7v/M7bN++HShNONoV0Wqk02mefvppvvKVr7BvXymN+1d/9Vf57Gc/K9aZnp7mu9/9Ln/1V38lPKVf/OIXOXr0KM888ww/+7M/S2trK1/84hfFNj/5kz/JsWPHeOGFF9iyZQsLCwsYhsEjjzwi+rWuW7dOrO92uykWi6JjQfkzaiUZcrkNxefz8eSTT77jrXOqk+Orq/ytra0MDQ2RyWSwLIvJyUmhTmqggQ8TGsS2gXcNhw8fxjRN9u/fj9/vJ5fLMTs7K1q3TE5OcvjwYTo6Ojhw4AB+v598Ps+tW7c4d+4cBw8eZGZmhiNHjrB161YhA04kEkxPT9/1+djps4lEgosXL7Jz504URWFgYIBkMsn169fZuHEjqqrS1dVV4bfVNI3W1lYymQzT09P09fWJXrbZbFaEPJT3srWlRTbBtRut271p3W63kB/bvWntoKnyZaqqipCocm+tvcyWF5eHTtkS4fJWQMl8mr+KvcqVfH0/bUD28sXmx+lzt9eERJVfR7s3X3nFyg6mKpc9vx/ILZQGNl09nXT1dFIsFpmamObqrauO63pVL3Nz85iGSUtrM5JcO2hajDWI7XsB3f1dTE5M0dXdWfNaKBxk34G9HHntaN3vqa7rnDt9jn0H9ta8tn7DIDdv3CR1n8LBPAWv4/KZzCzrwgP4g3cqRvbvTkKqGbRnUhm8fq8jQdQtAwuTglHg+zefFmRRkRT2tO5jTbAyKdu+Kpl0hsnxKVStdD8KhUMEw8v7LO8Fy0mSZUuuL0nmzrWw69hOZOb8ufN1t49NLpLL5KAJTAsMywJbAWCBUlDAgM1bNyMV7/hmt27dyp//+Z8zOjqKoigV6ebhcJi+vj5GR0crjqWoCt09XbS1t62aQF27MoJRNLl8+Qrbt293rACHQiE+9alP8b//7/87+/btY+/evTz++OPLB09BRWXVTuQdGBgQy5qamlhcvHNPKw+EmpiYoFgssmnTJvHZ2e/bXu/69esYhiEkyjYKhYKorBqGwTe/+U1eeOEF5ubmREaEXcEcHBxk7969/P2///d54IEH2L9/P4899hihUKhuW6jqZeWwn1/l19E0TTwez3u2H6wtmTZNk8nJSZH70UADHyY0vvENvCsoFArMz8/z6KOPCo+I3+8XTcZ1Xef48eN0dnYKTwxAIBCgubmZQqHkWZmcnKS5uZmNGzeKdWwJz71AVVV27tzJG2+8wbVr19iwYQOyLLNp0yaGh4cZGxtjYGAAWZZZu3YtFy9eZGJigv7+fiRJoqenh2vXrjE1NUVPT0+F33Z2dpaOjg4hPy4UCqLnrSzLhMNhCoWC8NvaFdpyv60sy2Lmudxva/ti63lrbdmxaZpCflzuf53T4/y3heeY15fqXpterZXPRx8lpJQG0NXtgKq9tNXtFGyUN7p/PyY1appG35pelBaZs9fO1rzuU73MjM8CEG2OOu4jNt8gtu8FSJJEa0eL6AVZjfbONrbt3MqZU7Wfs43xmxOsGVhDa1slOZAVme27tnH41SP35Vw9RXdJcitVkuyZTOm7pigKHq+bbCZXUhTUQTabY2pymsEN6xxeLe3brbj5SNejHJk+TMHMY1gG7b6OWkJ5+//fuDrK9Ws3xHJZlnn8E4/h998h2+VEolgocvTwcSRZQlNVQYgjTRF6+pe/d5uYyJbsSG7LJcnlRHa195nWtlbRO7QamkfD5XX2USKB4TYwVRPdrZPqTiLrEnJBoegpPatWU1G275nbd25DURVWOu3kUpJrl0YARAsapyyAcvzKr/wKP/mTP8mRI0f44Q9/yNe//nX+83/+zzVtucpRTuTsa1lNmJwUOk5wyliwwxK/8Y1v1JBG207zZ3/2Z/zlX/4lv/ALv8DAwABer5ff/u3fFu9bURR++7d/m7Nnz3Ls2DG+/e1v8wd/8Af84R/+oajgOp3DStVau3NA9UTtexnxeLyi320DDXyY8N7QFzXwoYNdaZyYmKghPlCSJuXzeYaGauWugAhq8Hg8JBIJlpbqE7LVYna2NEAMBAJs3bqVubk5pqamxHE2bNjA0tISMzMz4hwGBgZIp9NiW1VV6e3tJZ/PMz8/D5QeuJ2dpUpfLBYDSgO/trY2DMMgHo+LSmZzczOmaYr3U96SxpYY2S0BbC+OvcwmtPl8Xjy43W43ilJqBF8oFNB1HUmSRHiUruucS93gv0z9j2VJ7V7/EP9zx1M0ue/MnpeT2eXaZ9izyOUoHyC8H8ktQFZ39l96VR+zU6XvSJMDsTUMg6X4nWutS7Xf/wbeHtRrPxMMB0kmnQnNwPq1rB1cs+x+T5884zjobe9sp9OhGnwvkJDwFGpTvG1iC+APllqT3esAvGy4T4evk4/1foKou4moO4pPdfYQSpLE5ERlEJppmlw6d7lmPfvftSsjxOZjLMwuMD05w/jYBFMT07R1tCCB+KdICqqsVvxTJKUucZIlWWyjyAqyVEuAl8Pf+UJtD2Ubez+1x7HKXY3Lw6X3baoWuk/n7JWzdK3tovVAC4ZhMHzzJAVfAUM1iC/FuXnzJmvXriXaFKWnt7s0Cak6VwS124GBuWyOa5eucfniFbLZyvvQ4OAgZ86cQddLEnqn979hwwa+9KUv8Qd/8AcMDAzw3HPPrfi+7hXd3d2oqlrh5bXtPbaKZ/369eJZ2NvbS09Pj/hnTzidPXuWj3zkI3z84x9n/fr1dHV1cevWrYpjSZLE9u3b+Uf/6B/xx3/8x2iaxssvvwxQYb+pTu93gmEYFbkTy13P9xomJiaEbauBBj5saBDbBt4VyLLM/v37GRsb42/+5m/44Q9/yJkzZ4jH4wBi1rw84MEJ69evp6mpiWeffZann36aN954Q8ia7hbXr18nmSwlAHd2dtLf38+NGzfEsqamJnp6epicnBTLgsEgXV1dzM/Pi2V+v5+Ojg7i8bhY5vF4aGtrI5VKiWWaptHc3Ew2mxUJnKqq0tTURLFYFMtkWSYYDIqWP1B6uPp8vpplXq8X0zRFRdv21tpVWigRbVmW0VwuXkqd5k8XnidvFR2viYzEZ6IP8rmmh1AlRRDV8tTjcjgNOG1pcvUA4v0y+10PmbrE1sOeA3tYt2GAppbaHrhL8aWK935ZukHBcL7+DdwbSt/D2u/izNRs7cqUfmNuj6tuoNf2ndto66g/SEwmkhUVy8ptt9436aLXgdguFZbI6aVWLoHbxNZY4bdVXkmtRKXn0K/5ebz7Y2yJbquzvsTCfIycQyuZ5X7fTuRg177tt6uN0m3va+2EmL1tPTIi3sU9Whz++S//Mx597JGa5T0bu/nsL/3oqvYxNznH13/t64yPjPPS/3iJ7/zx3/LZf/gZutd2c/DJA/ynf/NbnBg5wdnYGb7y7/81LR0tfOKnnyTUE8QhG6sCfb29DJ8a5pm//S6jo2OCbJXjx3/8x0mn0/zrf/2vuXjxIjdv3uT73/8+Y2NjTE5O8vu///ucO3eO6elpjh49yvj4uKjsXbhwgS984QvMzc2t6r2uBj6fj6eeeoqvfe1rvPnmm1y/fp3f+I3fqPhs+/r6ePLJJ/n1X/91XnzxRaamprh48SL/7b/9Nw4fPgxAT08Px48f5+zZs4yOjvIf/sN/EBPFAOfPn+dP/uRPuHjxItPT07z88svE43HR6qajo4ORkRHGxkqhfssRVZtwl/9u7e4BK3333m2Ypsn09LRQkTXQwIcNDSlyA+8aenp66OzsZG5ujoWFBaanp7l8+TJ79+5d9cBEVVU+8pGPkEqlmJ2dZWFhgdOnT3P16lU++tGP3pW/xOfzcerUKQ4ePIimaQwNDRGPx7l06RI7d+5E0zT6+/tJJpPcuHGDTZs2oWkaHR0dpNNpJiYmGBgYwOVy0dTUJCq5brdbBGPlcjkWFxdxuVy43W4CgQD5fJ6lpSXhq/V6vQQCAVKpFJqmCR+u7Y+1e9OqqiqW2RVwRVGEB7dQKKCqqpBqwR0iaigWfzH3AhcyY3WvR0D28vnoI/S72mv8sOUPzOoer/U8cE7S5Pc6uT32+jGCkSA9/T0EAv6K1+pXbL34m/xEmyKOr5cHR6WUDGety/zz13+NoFa5/6H0Wpr1cMWygcG19K6pDA357698j//zL//vmuP815/7dbZt3LLi4ObMwimmM5UVNwmJx7s/hiKrXIid5+rSldJ7m/XhSlSSK9tPbX8/jo+d46+Hn685zr/+0v+Hj+97BAm5QmJpWZA1an2oqqSiKc6yyhNHTpBKpunoamdo85DDe3ROAPb5vFy9eI31mwZrXpMVGYtScmz1fUOSJfYd3MsrP3yNZMK5/dXF85fo6e3GUxUk5fP72LBpPRfPXXLc7m5Q8tnWythnsrP0B/vw3/6OLidFBmrOEarJ4J3rqcgKXYH6ATQTc7WefEmS2LTVWW0DMLhhHalECp/fRzAcpLWtBa/Pu+qB+Nvlz3e73fzt97/DN775Df7or/6YRC5L89YOBp7YyNXsHG1SkTXBPBb1J04/+mOPk88X+IXPfBlZlvnMz3yGT37xkwD84n/6Rf7gq3/AV//hV9ELOlsf2Mq/+ZOvMmfOMxeb5+rSVXRL59zCWUKuEDm9pMixTIuZ6Vke2H+AZ57+Lv/TP/yfyGaz/O7v/m6NzDYcDvM7v/M7fO1rX+Pnf/7nkWWZ9evXs23bNjweDzdv3uSXf/mXSSQSNDc382M/9mN85jOfAUqBjjdv3nQkzDbuhSz93M/9HNlsln/2z/4ZPp+Pn/qpnxITtzZ+5Vd+hT/+4z/m937v95ibmxNBkg8++CCSJPEzP/MzTE5O8ou/+It4PB5+9Ed/lIcfflhMgvv9foaHh/mLv/gLMpkMHR0d/PzP/zwHDx4E4LOf/SzDw8P8zM/8DJlMht/93d9l9+7dju/Hfi7Z9wE7aGo5ddJKOHbsGIVCgYceeuietl8tYrEYuq43ZMgNfGghWe+X9JYGPhQ4fvw4MzMz7Ny5k8OHD68q2KIaqVSK733ve+zdu5e1a9euOhU5nU7z7LPP0tzczM6dO4X35/DhwwQCATZv3owkSRQKBU6dOoXb7Wb9+vVC0nvx4kUURWHNmjXIsoxhGFy/fh1A9Lw1TZNbt25hmiYdHR2ikjo1NYVhGLS0tKCqKpZliYCMpqYmsV4ymUTXdeG3tSxLNG73+XyCYNrSY/shbIdHFYtFprLz/Pnii8tKj3tcrfy91icISN6aZMhykmqaphgEVVel6g0AbH+vjWg0yic+8YllP5t3C9///vdZXFwstYcIh+jp66a7twuP18NL4y8xPH+6Zpt/suPnUaT6pZerl0e4ePYihmlwInieBVft59BSiLAnublGOjuwfoBtO7dULPu9v/4T/vnX/781+/idz/8yazp7Wb9xkN7+nrqVhmfGvkOqWEnWIq4oH+/7FLqp861r/y85o1SRc8978U8FK9ZVFKXi85xJLPCL3/7NmuN86ckf4/e+/GuAdLv6f+d80sVUTYKxLCl468hfb4yMcvrNMwBs3bGFwaFav2i9R9vs9ByJRIK169c4vm4YBi7V5fj9TafSvPzDVynkCw5bQm9/L3sf2O24zx8++yLptxgklXFlGOm6XrP8sZ5H2N++l/nZBY69eoKhretZN7QWRdJq5LPzcwv4fF58VVVbyzLRbys3FEmrDISrcz6SJPO3I39N4aqJktDE8r41vezat7Pu+7hflaSVhi/3chx7n98++5dczI4wm0mQLhSwKCWef7TvQVKFNIZl4FE1vKoLj6rhUV38i5/6lwxsHuBnv/K/3svbqQtVV5ByMkpRQckryLpStxfvanAvEwPvhbC/u/08y8/Xfj5VpyFXT2LZ1pnR0VFxz7RtPLIs097ezqP30DrOVlHV63d7v3D8+HESiQQf/ehH39bjNNDAexXvbU1FAx86hEIhdF2no6MDt9vN5cuXHdezHxJO8Pv9qKq67Kxzve3279/PzMwMY2OlSqbX62XHjh0sLi4KP4/L5WLjxo2kUinRQ1BVVQYGBsjlcsKDqygKvb29FItFZmdnhY+2s7MT0zSJxWJiFritrQ3LsoTfVpIk0ey+3G9re2vL/bZ2gJTtt7XPp3wgYg8IrhYm+Pr8M8uS2l3eQf7n9h8hrAZEwrJNosuTlAERXAWlwXt1CrITquXM73XYExLxxThnh8/xg2ee541XjpDK15IUj+JZltQCrB9axyd/9OP4NgUdSa1kSWxMr3UcuOZztZLPouH8PVdkhVQyxanjwzz33R9y/ep1DL2y0lQwCjWkFiDqLkmobySuC1ILYLoqt3ca7LaHmmkN1HqLXzpthyhZ6JaOYRliWyfvomXVrzr29PWg3vYhToxP1l3PCR2d7bS0tHBr9Jbj64qiUNALjt9ff8DPAw/ur/vdvTV2i4W5Bcd9bt9ZP5xntfAUPU4Ka+GztaXIK1VsNZdWs8ze7erJi8RCboG0mUYaNImuDbN2cA079mxnx55SG5jySbCV/PhvB8rD7cpVBSutf/HcJbip0BVsJuz2EnK7UWW5YsCkmwapQo65TIJbiQWuxqbI6QUyhTzxXIq8XsDxw7oH6KpBMVAkF82R7kiT7EqQbk2RC2cpeguYinl3fXzvgaC+26TWPofVfI72ujbKv3Mr+Wurq7VQkiHbz7l7/f66XK63ndQCFfLrBhr4MKIhRW7gXUE+n+eNN95g7dq1hMNhVFVlcXGRy5cvi7CJvXv38sYbb/Daa6+xfv16Idu9desWmUyGgwcPcu7cOQzDoLOzE5/PR7FY5OrVq5imSXt7+12fV09PDxs2bODy5cuEw2Gi0SgtLS0MDg5y7do1QqEQkUiEcDjMmjVrGB0dxe/3E4lE8Pv99Pb2cvPmTbxeL5FIBI/HQ2dnJxMTE3i9XsLhMC6Xi7a2NqampoREWVVVWlpamJ2dJZlMEgqFRLughYUFkskkwWBQ+G2XlpbI5XIiMMrv95NMJslms2iaJtr8qKpKoVAgXyjwWvosP1g8Xnf4IyPzI9ED7HEPgm5hqpUBTzZx1bSqao4k4XK50HUd0zQrpMlOsmR7G/tfPp+vkTO/F2AnSkNl6rNpmsQWYuS7av2YXtW5JUs1LMXi5cRRx9fW5LoImM6VykKh1our687+XKWMLGYzWc6cOsflC1dZt2GAtYNr0DSNxXzMcdsmT4nYXlisbH9iOBBbJ2zpHOSlq8crlt2cmeTG1C3Wdpak1KZlYFg689k4zd4wRtUX08IC6zZ5rvrWappKT38PoyNjJOKJut8zJ1hYNDVHcbk0Jm9N0dVbG+6kKApFvYimajX7bW5pYte+nbx59KTj/odPnuHxjz1a0+apo6uDjs52pm8Hi90LZEvGXXSTd1V+92YypX16vB4UVVlR4u9s0Shd40w6y9zkOIMbnVKTK+GSNT679sfxrPJ7f7+xUhXRwsIwdSTkFYOk7P1cv3qDKxevoqHhSrvpC7UxEp8qbWvJ2I18JGppq2lZ5I0iM+k7k5EeRcOjufCqGgGX7y3UWcsgl1KYDfed36NslFKYldv/5IKCbL0/Jg/vBcv1oHVKXnZaXo/Y2hO69vPMXtfuJLAcbt26xYULF0ilUiiKQiQS4aGHHuLkyZMVUuQXX3yRcDiMoijcuHEDWZYZGBgQ6dSWZXH+/HlGR0fJ5XK4XC56enrYvbtWEVL9Xu2+xQ008GFEg9g28K7ADkm6cuUKqVQK0zTx+XysXbuWTZs2AaU0xccff5yLFy9y5MgRIbdta2sTN/+2tjauXbvGsWPHxM0/Eonw8MMPrxg8VQ/bt28nFosxPDzMoUOHcLvdrFu3ThDvnTt34na76e7uJpFIMDY2htfrxe1209LSQiqVYmpqCo/Hg8fjIRqNkslkmJubw+124/F4CAaD5HI50cvW6/Xi8/kIh8MsLS3hcrnE9qFQiEQiIXy5qqri9/tJp9MoioLL5UJRFPx+P5lMhnw+jyzLuFwlOWUBnT+bfp6LuZt137Nf9vD32j7GgLcLy7IE2bTDMmRZRlVV8vk8xWIRVVVrBgWqqgppcjW5BecBiE1sn376adGmony/ToPW6pl4m2w6YclM87fpNyhSW9WMyAGe8h1Ak5xvg8VikUwmU5GkaR+vtb2VK/qVmm0UQ2Fudr7Uv3aZAdCzYy8Ry8Vrloe0AJ9ofYzZ8dka2aokSeQdwo0KdYit6jBRkM/nuXD2IlcvXWXt4FrMDudto+4mlgpLLOQqq4+W20TVFPTinQG102e0pWt9DbEFeOX0UUFs7ff0/bEXeWrt4/i0Wt+naZkoUkl2WU1uhzYPMXp9DMMwSCVTBEPBmu3rwcIiEAygqipz03O0OgRDyYpM0SiiKbXktre/h1QyxeULtd+BxFKC6yM3WLd+oOa17bu2MTs7t2JFdTl4C94aYhvLLVI0i2iyRiDgXzY8r17V1L6+6VSaKxev0NHdLhQi5duWI+i6t3vs/cRy5FZCQrLkCpWJE+zf9q2xcc4OnxPLvbN+9IEifaFWbsSn8aga6u19lYju7Yrw7fX/yf/9T2v2m9ULZPXCbWf0Ioos0xNsp9vfholBspBAt956MrqpWJheHd17514nFyWUgnqH7BbrS5jrkb/3I6rfi/33ShM+1b3W4U5olI3lflvZbJYjR46wfft2enp6KBaLzM/P172mY2NjbNiwgY9+9KMsLCxw7NgxWlpa6OjoYHx8nKtXr3LgwAFCoZAYL6yE1tbWd6Qy3EAD71U0iG0D7woURWH79u0rrtfU1FTRx7YabW1tog9uPaxdu5a1a9eu+txkWebgwYP84Ac/4MyZM+zduxdJktixYwevv/46ly5dYtu2bciyzIYNGxgeHub69esMDQ0hyzL9/f1ks1nGx8dZu3ataPeTzWaZmpoSTdObm5vJ5XIsLCzQ0dFR6uMYiZDP51lcXKS1tRVVVSsCppqamlBVVfSytcOkZFkW0uvyfntzhTj/z9R3mSnU75vapTXzU9HHaHFFxDLb02v3nLUHBm63m3w+LwJ2qsmtLU0uFos17RKWq97m83kymUzFsuUGWkLCWhVcVI6ipfPN5A+YM2vlvhoKPx38OKmCcxBQPcJsv4f2jnaGM8M12xVSBV6/cJiunk72H9rnuO+57ALPjr3s+NqPr/8RdnRug+2wuLDIrZvjTNyaJJ8rVeCd0meLdST3ily/Al4s6ly5eBU9n4NI5WsSEhFXlFup2okQS7I49ORB5sbmGbktbXYKVdnaVRvOBPDS6aP89Cd+omLZ5qb1LOQW8Wm1lVMTA+V2VKw9ILcJmNfr4bEnHuHo68dYii/dFbG19+PxemhVW4nNL9LUUiuflmUZ3dBRFbXmu7tp60ZSyRQTt2ql0BfPXaSntxu3pzL8yh/ws2FoPZcuOFssVgNvwUPc4b3MZuboDnThD/oxzfrkRKkjo5YpEcD2tg6e+rFex3XeS7AsCwsT8/Z/FSp92zaWszyUE5+ZqRlOHj9V8bqa1lDTGj4/dAaaiecyqLKCS1bIG3cIkyTOZ2UYpsnY0hRjS1O0+1rY2bIFNScxFZukqBQwXAaG6/6E6pmahakVKfpvT2BZCJJb+qciGaUU6g8CoQVnCbJpmjW/X6fvRbmVx/7bMAzcbrcgvMsRW9sO1NPTg99fsgVEIpG669sBWVDqsHDt2jXR7z6TyeDxeGhvb0eWZfx+v2Ov7Wp0dXWtuE4DDXyQ8cHVqTTQwFuA1+vl4MGDLCwscO3aNaDkkdm1axepVIrR0VGg9ADcuHEjuVxOeHBtSVGxWGRqako8EPv6+rAsq8ZvC7CwsCAIQktLC5IkEYvFxAM5Go2iKApLS0sVvWwVRSGVSpFOpykUCrjdbvFAPb14lf986y+XJbV7Ahv4ue7PEVEDFItFdF0XvW7tWV97OZQGCm63WwRmOT3k7W1tYng3vtvy9coHnU4py/bApN4+f5A94UhqAT7u20eLEnZ8zd53vdl9y7Joa28VLVbKYeZKn42/KkG5HN++8jS6WUtGB8Nr2N+xS/wdbY6yfdc2PvHUkxx65CC9/T0V0jgby3lsV4Llq32PYVcERVYw6wzTM1aGoc0bePJHPsaW7ZvxeNxiEsT+F/YG6Y7UWgFeHj5S83ltbl5f9/xMB59tecUpHA3z+Mcfq9ufdiVYWGiaRmtLC8l4nUkOWUI3dcfv2e79u4g21RLiYlHn3JkLNcsBNmxcXxPcdDfwFpxlv7bP1h/0Yy4z+Pb6K7e3f1+yrCBLivASvtdgWRamZWKYOkWzgG4VMSyDYrHkhy5axbsiZ+X3l9h8jGOHT2BVTQhISHhmS59VkzdIxB0ASpMDHrVyskOSJGTp7iKdZjLzPHvzZV6YPkI8k8YV9+KfDRIcD+Gb8eOJu9EyGrJ+n3zJUknCXAgWyDZnSXUmSXUlyTSnyAdz6O4iplRLAt8vqP78y/+unoBzeo/V91b7uWcHOi6nDoISUW1ra+PZZ5/l8OHDjIyMLJsHEg5XPoPsjgYAvb29GIbBM888w/HjxxkfH19VF4HVkN8GGvggo0FsG2igDmzJ88jIiOjrF4lEGBoaYnJykvn5eQACgQDr1q1jYWGBhYWSdNPj8dDf38/S0hKLiyViaXtk0um0WKaqKh0dHWSzWSEzUlWV1tZWisUiiUQCKFVQm5qaMAxD9MG1vbVwJ9zC9r++kbvI/2/hOXKm80NVRuLTTYf4O22P41I0PB6PqH7CnRRlr9eLoijoui78pja5tWev64V02S2JqlOQlyO35d6/6qAQJ4Jb70F/Oj/C2YJzX9GdrnVsddWv4C9HagFC4SCyW8akdh3FKCVqOpEd0zT5ix/+NafnawmPhMTfGfqMc0Vblmhrb2XXvp188jMfr7l+heLKHlsnWIpVEwYFEPU0kcvmCNeRmSYKpckCVVUYWL+Wj33qCXbt3VFD5p2qtvNLi1wcu1axzKt68NXxaNYLkJJu/x+Aqql093U7rrcaWJQmmZqamsikMo7rSJJUEXZlQ1EUHnhoP15f7fnfHL1JbL7Ww6yo9x4kJUlSfWKbLRHbaFOESDSCIqkVoVz278fj8bwrQU53i0oiW7xNZHVMTAr5Ajdv3OLYayeYnZ4TVXxzGUlvPZKTWErwxmtH61bitJQLJVu6L7X7o2i3J+BkScKjqihOk253SXCzco7rrgnOuUeYVRaxsFCLKq6UB2/MR2A6RGAiiG/OhyvhRs0pSPepU5olW+heg3w4T6Y1Q6o7SbJ9iWxThkIgj67pdxVM9V5A9YSDLVcvf5bYthk7Jdl+rbp3rZ2SvJrQKlmWeeSRR4QV6tq1a3zve98TLYmc1q8Hn8/HJz7xCfbs2YOiKJw8eZIXX3xxRXL7fgllbKCBtwsNKXIDDSyDTZs2sbCwwJkzZzh06BBer5f+/n7i8ThXr17F7/fj9Xrp6OggmUxy69Yt4ZdtamoilUoxPT2Nx+PB5/MRDAZpbW1lbm5OLPP5fDQ3N7OwsIDb7cbn8wlvrt3z1ufzCf9wPB4XpDGZTIoHd6FQQJdMvjX3IqeT1+q+J7/s4e80PcYaV7t4WNtVWrsSWywWRcXW7XaLdgeAqOi4XC4hOS4Wi46VnnrS5OXCfsoTrZ1CQFbygs0aizyXfdPxtTYlwhPePXWvzXLSZhvtHe11e9gqRmlQFG2uJbYLsRhHjWFwKKR+pPsBeoMrS8ic0qR1h4qtIit1Zd8CAecBUlSL8uJzLxNsCoLD5H+ikKj4W1Zk+gf66Vvbx8StSa5euspSPMGWzkGevfB6zfYvDR9h85rKKm3QFXA8l0w2i8vvqTtYc/Le3gvsfYRDYVLpNG6vs0fNsIzbktc719HjcXPgoQd49YVX0atSp4dPnuGxjz1S81l0dnfS3tHGzPTsXZ+rbMq4ii4KWuWk1WxmFk12vW+liCUpr4Vlmbe7EFd+rrlcnpmJGaYmplmKJTAMA6/PQ3t3yYqiSiryConk1Z7LTDrD4VeOUHQIZbMhIeGd9ZHqTyBLElFPgLyex7btu1wuDNOkaDoTY1uiLEuyowKhAgpMawvMW0u0FZtoMcIot+sPCgroGm4dSN/u1KxYGC4D06WXJMzafWK7Gliahe7Xsd9oqdWQjFwseXZtCfO7jeWeB+Wk1kmK7DRRZT/HbMKraZpQpLjcLto7lrc+2aqrlpYWNm/ezDPPPMPExMQ9vTdVVenq6qKrq4vBwUG+//3vs7S0RDRa+3xpoIEGSmgQ2wYaWAaSJLF//36ee+45hoeHeeCBB5Blma1bt3L48GEuXrzIjh07UBSFgYEBkskkN27cYOPGjSiKIiq04+PjDAwMoKoqbW1tZDIZpqen6evrE0Fatt/W5XKhqiqhUIh8Pi+IrKZp+P1+CoUCyWRSJDf6fD4kSeJmfIpv3nyWWT1e9/10u1v4B52fJKoGyefzImiqvApbKBQoFEryPjvQyZYWF4vF0gP+9t92hVjXdQqFQk1isn0NNU0Ts+N3S26hsm3HchLkvFXkr9Ovo1M7yHSj8TnfQ6h1Br8rSZtttHe0kdGdK3uqqeDxePB6a4OQnh97hYxSK1/WTJXeWBtTE1O0d7QjK3c34150CI9S6xDB8vcW7AqQp7ZlUTFukM/lyU/mkUIyVtVg2a7YVkOSJHr6uunp62Z6cgaX38P/9cI3a67ni6fe4H/77N+vWOZVPZiWUUNmZFXi5R++yp79uwiFnSvI1d7blbDc987CIuD3k8vlUFzO3xMnchuOhNh7YA9HXj9WEZW7FF/ixsgoA4O1CoHtu7bxw2dXrsD4/D5C4SChcIhgKEgoFKQ4X+TSYqVPdy47L8K23g8QRLaMzFYjm8kxPTHDzOQssflYhbdekiTWrO9HlmTU2313lwuSqkY+l+fwK284+taroSXcKDkFw2tQNAq0+qLEssmKMzYtk8IyEnALC83UMDAx5JXDohLuNGkzR5MRoskIo9ZLODaA7O1/EpiaiakaGJqBqZlY6n0iuyrgLb0TEx3JlJCKMnJRQSnKKEUVBxHLfYfT8wXuqHfKFTfl93T72WE/g6pfK0c2myWfzxMMBujq7iIcDROOhAgEA8uS+YWFBWZmZkS7wlgsRj6fJxQKibZ9q8WNGzewLIvm5mYURWFsbEw87xtooIH6aBDbBhpYAW63m0OHDvHCCy9w6dIlNm/ejKqq7Nq1izfeeIORkRHWr1+Poihs2rSJ4eFhxsbGWLt2rfDbXrx4kYmJCfr6+koEoKeHkZERpqen6e7uLgUStbdz69Yt5ubmRGBES0sLk5OTxGIxWltbBUm0WxHYkuGLqVH+ePq7ZMza1Fwb270D/GTbo/g0r3jI2w91ez9wh8Tm83lyuZzw1NqktVAokM/nxXK7Z26xWBSV23rk1jCMu6rcGoZRU2WBO2Eg1fLC72WOsmg6eyV/JHCAqOIcMLRaUquqKs0tzVxPXnd8XTEUos2RmuXxfILDcecq8vpMHwuLCyyML6C5NLp6uujt66alrWXZc7HhlIqsqRo+v49M2pmAA6gRGaq+LhISM9fn7ryfgoJeQ2wrK7ZO6Ohq51NdT7L9mY2cvn6x4rXXz54QgUziXGSVolFLblRVJZvN8OJzL7NxyxAbNq6v+325n9Vbj8dDoVBAUp2P5URuO7o62LpjC+eGK1skXTh3ke7eLjFJZCMQDLB+aJDLF0vJyl6fl1AoSDAcvP3fEMFQwLE1T2e2s4bYGpbBXHaeDv/dtzl7p2BZJuYyRBagWChya3ScqfEZ4rE4QA1pNU0Tj8fNmrX9FaTWXnel33GxqPPGq0dIJWsndpxQ8tr6SfcluLJ0GUVSWMqnmUxVpoablkW6UGCZ7C5cpkpHsZUpbZ6cVN9/WQ7FkugrdjKQ78JjrS7xVshnFQvdW0T3FCl6dAxfEUt5G6TFKsgFBTWnomY11KyKklORrPtX1a1HaqvTjO3ngy0rtidJFUXBMIyaZ5Rtl2luaSLa3ERrSwsbNg/ict9durCmaczPz3P16lWKxSJ+v58dO3bQ2dkpMjhWC5fLxcWLFzl9+jSWZREOh3nooYdq7iMNNNBAJRrEtoEGVoGmpiZ27tzJyZMniUQidHV1EQwG2bJlC2fPniUUCtHR0YHX62X9+vVcunSJubk52tracLvdDAwMcPXqVbFM0zR6e3u5ceMGCwsLtLS0CL/t+Pg48XicpqYmZFmmra1NkFtVVUX/WtM0SafTvBQ/xfcXj9cdKEpI/Gjrgzzg3Yhe1ClQEDIru/+sHXBhD6JtopvNZsnlcsKXZ5NYu9prk1t7ALEcuQWEX6m6hUI9smITePt8y+VjNim2/z5ZuMqlovPgYa97iCGtt65cDZzJcjVa21qQFZlMHSmyrMuOMuS/vvZdx5ZDId1Pb75D/F0sFBm7PsbY9TF8fh89vd1095YqBvXglIrsdXt48keeIDYfY/zmBAvzsQq/ZaQpQlJZpMldqTX2KwGKpiWkbm7NRdFTxX4tmJ6cpaOjDWkFP9c/+PhP8s3n/nvN8qu3brKlSo6syhqGg0eyo7ODRDzJ1Pg0mupiYP3aujWTO9Xb239LtZMV4zfH6e1fOfXX7XKXJlYk5++DaZnIVLaRGdywjlQyxejImFhWLBS5cPYiu/burG1ZtGUDnT0d+AP+uwpt6vR1OC6fzky/p4htdXLxcpCRMQ2L5/72BccQoPL7hcfj5sHHHkRTS8TDifDU+x1blsXpN08TX7y7Cpo35cOwCuTIoVs6Hk3Fq2ksZKuk+bJFXtfrVm/TQFxOsjk1gGLJXHXfIqU430/KcU6+xgXPCH2FDtYXegmYzl7rmvdeBHISKi5UXFhYmJqB7tMpeosl0ust3p/EFRUI3P4HYFJGdDXUjFaSMd+jhLne51xeybertfazwyatducA+7mhuTSamqJEm6NEohEi0fBb7qUeCoV4+OGHHV/bv39/xd+PPfZYzTp2j1sotTvs7r737IAGGviwokFsG2hglVi3bh3z8/OcP3+eUChEIBCgu7ubeDzOyMgIgUCAQCBAS0sL3d3dTExM4PP5CAQChEIhOjs7mZqaEsv8fj/t7e3MzMzg8XgIBAJ4vV5aW1uZnZ3F5XIRCARwuVw0NzezuLiIruv4fD68Xi95o8DfzDzHcKq+n9Ynu/lS1yfYGOjHsiyy2azw09rBUJqmkc/nhfzYHmDbsqdMJkM2m8Xr9QoSa6c35vN5XC4XsiwL/+dyvW6h0ndbTlTrkdt6+ygf0EzpC/wwe6pmPYAupZnHPDtqiLB9zPIWDisR2/bOkr+qnsdW0mWaqoKjrsVvcHTa+dw2pQfqJvrmsjmuXLrKlUtXCYaCQuZbnajr5LG1JyiaWppobmnGLXtXHxR0Hzu9fPnH/he+/GP/y1vax6EDq6tcrxbrBzasfuVlxrmWZZHRS6Ew5dd2+65tpJNplpYShEK3JcThIIViEU2rfOTKskwkGrmb0weoS14T+ZWr6W8n7obIwu0WQ5IMt38Dsgr9a/sYvT5Ws65NblvaWti9f6eYVLtbSJJE/9o+xm+u3vfY29/D5m2buVUY47WpV8XyDn+UnF4gXbwjZ5YkCZ9W6nebLeiOEyOWZHHeN0Jvvp3HUruZURe54rlJXHEOGbJhShaj7ilGXVP0FNvYkO8lbFb6053ucxXvHwmlqKIsqbiXSpYJCwvDo1P03SG6huet99ZFBt2no/t0SlppkAxJkFw1q5VSn417Z9XV8nQb9v+27+3BUJBINEzz7XtiIOjs62+ggQbe32gQ2wYaWCUkSWLv3r3E43GGh4c5cOCAaPeztLTEpUuX2LlzJ6qq0t/fX+G31TSNzs5O4bddt24dmqbR0tJCJpNhdnYWt9uNpmmEw2FyuRyxWEyQxlQqJchcMplkUU/yR5PfZSI3V/d8u1yl/rStShTTNCkUSpVaW45lE0vbX2vLjG1ya5M+v98vyK2dnmwnJmezWeGttauxK/W6ta+lXS2G2lAXp/XtAI/yZZIkkTFy/HX6dceUYo/k4jP+B+v6DldKQK5GW0eJUNTz2GqWVlFdNS2Tv7j8Hcd1u/KtRPU6vtGqgWkykeTiuUtcPHeJ9UODbN6+SbzmKEVWyqt/7+302/crRKW/qnIryzKHHjn4tl5zv+Yn4ooQdAXpDXbTE+ihJ9CDX3tn/XflgU9Ovz+n9RVZral0l3/XhzZv4NbYeE1KsWVZbNm+mXUbBoDl2zmtRO5a2loYWD/A9avOlgIbza3NbNuxlWhTBIBB73pOzZ0krafFOfSGWhlZnKJY1cLLpSgoLpli3iInO0uOb7lnSChp9mU282hqN7PqIpfdN1lQV6gmSzDummXcNUtHsYkN+T6ajTv3nZXef+3uJNSchpq7c98wZbNEcn06urdI0Vus8dvfCyzFohgoUAzcuSZyQRYk167urkbCXD1JWZ5sHG2KEG1uItoUobm5qaandAMNNPDBRIPYNtDAXUBVVQ4dOsTzzz/P+fPn2b59O4qisHPnTg4fPsyVK1fYtGkTsiwzNDTE8PAwo6OjDA4OIkkSa9eu5cKFC9y6dYu1a9dW+G2npqbo6ekR8uN8Ps/sbCk1VZZlmpubkSSJY5Nn+bMbPyRr1ffT7g5t4IvdTyLpFplMRgwSvV4vmqZRKBTIZrNYliVkxja5zefzQqZsk0efzydkyW63W5BYr9dLLpcTrYCcyK0dclXveto+2mqflI3qdj/VYR9PZ46QsJy9cp/2HSQs32lDUz74sUlttU+3HgLBAP7b1VKniq1syEQikYr3+urEUW6lJmvWVUyFDek1jsdZye87P1fp63OSIrveo71IP4iwsGrI7dtFak3TvP1bk/jftv+vq+pVfD9RSWQtWKWnWSrVZlcVjObxeli3foArl66KZT6/j70H9giCuRpSa69X73e0edtGZqdnSSVrq6SBgJ8tO7bQ1d1ZsVyRFLY37+CNmcNimSor9IfbuL44VdP7WVEkXC4Vf85bl6wuqSleDpxkT2Yj7XoT7XoTC8oSl903mdFq20VVY1qLMa3FaNHDDOX7aNWjJb/5KkltPcimjCvtxpUuEcKShNkUFV27uns/JMymy6TgylMI336mWaDk1Aqiq+RrJcz2e3S73TS3NBFpitDc0ky0KfKWZcXVSCVTJBNJ8rkCGzdsWnmDBhpo4F1Bg9g20MBdIhQKsXfvXo4cOUIkEqG/vx+fz8f27ds5efIkExMT9PT04Ha7GRoa4ty5c0xNTdHV1YWqqgwMDHDlyhWRnqgoCr29vVy/fr0iOCocDrOwsIBlWfj9fhRF4Qczx/j2zAvL+mmfDO/lk50HUWSFAgUxuLNlx+UktlpmbJPZXC5HoVCoILc2ic3n8xU9cz0ej5AfW5YlfLj2cpu4OoXgwB0vlGEYSJIkSPhyEmSbkB7NX+Ra0VlSeNC9mXVaZeuTclJb/jesXoYM9YitQlPLHRlyqpjmOyM/cNzXYLbXMQTGvtb1emoC5HOVKa5Oqcia0ri1v5NwIrdvaX+mRSaTpVgs3v4tuXF7Sqnlb3d4TIk8lLdQscOeypOnJeRlfJIWpV7ZklAL1FcNWJZVQ1g2bNrAYiyOXtRpa29l/ab14r5S95iW3Zu29mxs9Ug5VEXmgUP7OXV8WPzuNU2lf6Cf7p5uZNn5WBsjm7iVuknOKJGwnJEDknSHWriVqFXQGKqB3+ViMNPLNY9zBkBR1jniP8em3BoG8700G2EOZbaxJKe44r7JuDbHSrbUeXWJefUsET3AhnwfXXrLfW3HU5IwKyhFBXeiUsJsV3R1n47h1lc811UcDMOrY3gdJMxZjYAVpMPfTntTO80tTXUT0+8VpmmSWEqwGIszP7fA7MwsWKWJ4VAoBHfhZmiggQbeWTRGPw00cA/o6+tjfn6eS5cuEQ6HiUQitLW1MTAwwPXr1wkGg2J5f38/Y2Nj+P1+wuEwgUCAnp4e0fM2HA7j9Xrp6upiYmICt9uNZVnEYjG8Xi+GYTAXX+BPxr/HqdTVuufkUzz8g+5P0l4MkUwmRZ9Zl8uF2+0mlUqRSqXw+/3Islwhcy4ntzZhtWXGTuTWrtBWk1s7nMP26brd7hV73cIdf5Qd4GQTXZuAVnunZFlmtDDNS9nTzp+P2sbD3u01y6uTM+8G7R13fI1ZBymyYshEy/y13xn5AWmH9fyGl/5cZ81yQLz35ZDPV8oanYitXigyP7dAS6tDI9oG3ha8VXJrmiZzM3NomkYoHMIfeBfaeljgVu7Cj/12QYUnPvrEfd2fE7xNPj7+8Y/f3b4U+MzaHxd/6qbOn179JgBFxWDaqK2ypl1Z/IaPfanNnPJfRpccJq4kuOgdZVFJsiszhIZK2AywL7uZTfkMV9y3uKnN1A0zsxFXUxxTLxA0fGzI99JTbEO+L8lQTqd8R8LsWSwtM2UTw6uj+4oUPUV0XxHzPkuYs6SZY5rrhp+2RButxTbavK20eFvR5LtXqxQKBeKxOIuxODPTM6SSaRRFwbIscrcnEj2e2hZuDTTQwHsPDWLbQAP3iB07dhCLxRgeHubQoUO4XC4GBweJx+NcunSJXbt24XK56OnpIZFIMDo6ysaNG3G73bS2tpJMJpmcnMTj8eB2u4lGo6RSKebn55EkiVAoRCgUYj4f508mf8D4Mn7adjXKP+z+FH2RLvL5PMlkkkKhgNfrFX1uQ6EQiUSCdDotyK2qqgQCAdLpNJlMBq/XK5bbHtry9GOgpkLrcpUqj263m0KhIMitvXw1vW7hDmEt7zdYXr20XwfIWHm+kz7sWLn2Sx4+43+wIgUYKiWKTuRxuYqtoigVJNEpFVkxFJpuJyLfTE7w6sRRx31tSq91HGiWt65YDtWTBEWH8ChDN3ntxdfx+bysH1rP5o1blt3n+xUvvvgikUiEXbt2vdunAixPbjPpDImlJMlEku7ebnz+ylRbWZZp73znE43LW/BI96ni/GGCKqt4FA+pYpLmaJD8lMGiVis7nvUuECj6eTi5i+P+CyQVZ5/+tGuBV5VT7EtvJmiWbBQB08fu7BCbcmu46r7FqGsKQ1qeLCaVDG/6LnPRHGV9vpf+QgfKcmlo9wmyKSOnXWhpF77b3yVdKRFdXaQw6/el5VBaT3MjeYMbyRtAiWhH3VFavW20edto9bYSdUdrngXpdIbFhRhzs/PEFhYp3J4s1HUdXdfxeku/TVsZVP7saaCBBt7baBDbBhq4RyiKwsGDB3nuuec4e/Ysu3fvRpZlduzYweHDh7l06RLbtm1DkiQ2bNjA8PAwN27cYMOGDciyzJo1a7h06RLj4+OsXbsW0zRFYrH9vy/Eb/D71/6KZJ2wIoA90Y38eNPDFDN5YrGYkB2bpkkmk8HlcqFpGqqqEg6HSSQSonKrKIogt+WVW5vc2t7aanLrdrtFAnK5H9f+b7FYFInJ5W2CVmoHVC7FtYlmua/WMAxMy+Rv0q+RsmrJpYTEZwMPEZBrW2GUD06cSOxyhLKltVl4tizLImvUHjsgB/H5fViWxf97+X84ku62QhMtxdp2QHB3QVb5XP4OsXXw2Kr2BEAmy62x8Q8ssT106NBdDThnZ2d56aWX+OxnPysmXt4KZEnBtCo/s3rkdn52AVVT6V3Ti+ddDLKxLAsTUyQYl6NBad8aJEmi19dCLpsnq+ZqXr8evMk2fYiPJHcx7LvMpGvecT8pJcsrwVPsygzRVWwVy72Wm+25QYby/Yy4xrnunqQo1f7+y5GR85z2XuOSe4zBfA9rC11o79DQT7TWMTWURJWE2W2g+4oQtDD8OtlVtDxa8XhYxPIxYvkYl+OXAFAllYgaxat7UTMa+oKOnjHAQjyLyvvd2jkRgHgOAWJyNp+vn23RQAMNvPtoENsGGngL8Pv9HDhwgFdeeYXr16+zbt063G43O3bs4Pjx44yNjbFmzRo0TWPjxo2cOXOGiYkJent7URSFgYEBLl26xK1btygUChiGQVdXF7lcju+MvswPEidqAklsSMDnuh/lkx0HAVi0FkWqcThc6skXi8VYXFwkEongcrlQFEWQ23Q6jc/nQ1VVFEUhGAySSqVE5dYOfbIrt+X9bOFOJTaXy1W8ZvfAvddet+VhUeWz5ba39vXceUb1acdr8rBnO/1ae8V+bJS3FrpblFfS8ka+hswAdARK6xydPsX1pdp2JbIlszG91nH/1e2LVkIulxftKpxSkctDhd5qiMzbAbsa/1arg2+333QlSJKEguLYf9ei0jvat/Y+9lG6C9xtC54G3hrMiMHG+QHOBC9jyFXfCwkuRq6xa2ELezKbiBgTXPRcxykA2JBMTvgvsi6XZFNubYWn2W1pbM6vZX2+lxuuKa65b5GXa+8D5cjLRc57b3DFc5OBfDfrCt24HXz+9xv2fc3+vYfCIZpbmkQrMq+3RHaLZpH57Dxz2Vlmc3PMZWdJFZdvf7Qa6JbOfPG22skL9JT6jauZUsshn+5Dyrux9NJ90vZil/e/NU2TXC6HaZqimttAAw28N9Egtg008BbR0dHB5s2buXDhAuFwmJaWFpqamtiwYQOXL18mGAzS3NxMMBhkYGCAkZER/H4/TU1NeL1e2tramJ6eRlGUUkN2ReLPx57n1cRw3WN6ZTc/Hv4IW7UBCoUCyWQSXdcJhUr+2vn5eSKRCM3NzcRiMeLxOOFwWFRa7fVsWbLdlscmt3ZrH5v0Vqci21Wycslyda9bOxm5mtzabYXqkdvqFORyOdiYOcvr+XOO12RA7eSAexOmaQrPbjVJtrHS39Vo71g+OAqgPdRGVs/x36991/H1tdlufGatT2s5eXQ9lAdI6Y4V29VLDqemprh48SJLS0tIkkRzczO7du0SEvVnnnmGAwcOcPXqVRYXFwkEAuzevZu2ttI1saugDz30EGfPniWZTBKJRNi3bx/hcKkFyY0bNxgeHmb//v1inU996lN4PB7Onj0rJnbC4TDbt28X+waYn5/n7NmzxGIxZFmmqamJgwcP4nK5aqTIo6OjXL16lWQyiaqqtLW1sXPnTjweD+l0mpdeegmAv/mbvwFgzZo17N+/H8uyuHTpEtevXyeXyxEIBNi8eTO9vSuTUUmSUFExMcvCkt495I387fZWVt2QuQbeXkgtBptm1nEueqWmDK7LBucjV9kV28xgvoeIEeCE7yKFOsR0xDPOkpJiT2ZjDRHVUNlQ6GVdoZsx1zRX3bfIyLWV4nIUJYPLnptcc4+zptDJYL4Hn/X2+EdVVaWpOUpzSzNNLU00NUVRNedhpyZrdPo76fTfyR/I6JkS0c3OMpedYzY7S9FcnsCvBqZqUgjlKYTyZEiVUpgLKmpGxdD9uHIupMydgEH72eXz+dA0DcMw7nvqcgMNNHB/0CC2DTRwH7B582YWFhY4c+YMhw4dwuPxsGbNGhYXF7ly5Qq7du3C4/HQ0dFBIpHg5s2beL3eih62uVyOK5PX+bP5H3IjXdsixka3t5VfGPopQnj5/7P331Fy5Pl1J/qJiPQ+s7K8RVWhYAquYLsbPW2mMY4zQw5H3OFQXFKUjpbiimYf39HyvaMnvacVRa1Wh0+iRJGy+0iRMsseznBI9pgmZ9g9aLSBdwWgDFDeZlZ6nxnm/ZGIQNqqAho9rvOScxoVGREZkRkZ8bu/7/3eGw6HicVi5f68zk4sFgtut9sgs3a7nUAgQDweJ5FI4Ha7DalxJbnVH9iCINTJknXSW1u51cmt/sCvzbqtrPbqTsqSJBnOrnqfbmXWbWXVsjIXVFVVEkqGP01daPiZeAQHn3U8W0USdXLbCLXLtyO2TpfTqI5C4/5agHZPO1+f/zbJYqruNZtiZTjX2/RYHreqms8/ksOVlO0rtjtBURTGxsbwer3IssydO3d4++23+fjHP26sc/PmTSYmJvB4PExPT3PhwgU+/elPV1VMb926ZZDI27dvc+HCBT71qU8Z362iKExNTXHy5EnD0OzatWskk0meeeYZ7HY7KysrnD9/nk984hO43W5isRhvvvkme/bsYWJiAkEQCIVCTT8vVVU5dOgQbrebQqHAjRs3uHTpEi+88AJ2u53nnnuOd955h0996lPGpA3AvXv3WFxc5MSJE7hcLsLhMBcvXsRqtVaR7KYQ+MAMenZCQSkSyW2hoeGz+rBI5ierzGofXEzRhw1FbwHvZoChdB8L7pW617PmHNPeOQ7ERwnKPl5MTXDZeY+4qf7eAbBljnPefZ2TmYP4FXfd6xIiw8UehordrJhDzFiXmvbw6lAElQfWVeYsawyUOtlb6Metvj/DMrvDTltbgLb2NgJtAbxeD0ITd+ndwGFyMOgeYtA9VD5mRWElsspybIlwLkxSS1C0FJ+OC7O17Ohc4OHEgArmvBlz3oolb8EpOZAUiUKhwIULFzCZTKRSKRwOh2EsFY/HMZlM+Hw+ANLpNPl8no6ODkRRNPLpOzo6sNlsaJrG2toaXq+XQCBg/K2bM6qqisVioVgscvjwYeO+dvXqVcbHx8sT4S200EIVWsS2hRaeAkRR5MyZM/zlX/6lUZkSRZHDhw/zzjvvcO/ePY4ePYooioyOjpJKpZiZmUFRFHw+H93d3Vxdv8u/uvslMmrzGfdDjj38wv6/hsviIB6PG1VNWZbJ5/OGDDgYDGK1WolEIpRKJQKBAKIokkqlUFUVp9OJIAh18mO9J1av1ulEVd9vozxb/fydTifZbPaJsm71Hly9alnrgqwJ8NX0BbINsntFBD7v/gh2sVqWqpPbRqjs3d0JldVaaOyILAoiRZPCt5cbE+/92T0NjVt2yqxthkIFsS2Wtie2O/Wg9vX1Vf196tQp/vRP/5RkMmnI8kZHR431Tpw4wcbGBvPz8+zfv9/Y7uDBg3R1dQFw+vRpXnvtNUN2D+Xv48SJE8agL5PJsLCwwGc+8xlD3rd//35j30eOHGF6eppAIMCJEyeM99GrwI0wPDxs/NvlcjExMcG3vvUtQx1QaXSm/1tRFO7du8eLL75IMBg0tt3a2mJubm53xPa7CEVRiEVi5PJ5JKuIN+Ch3RF8X/vUNBURqc5k5/sBr732GmNjY4yNlTNWXn31Vc6ePbvtoP7SpUsUi0Wef/7579ZhVkOAXHuW/tVuMqYsYXu9U/KWLcayc52BTA92zcbZ9FEm7fdZtDZus8iJBd523eBwbpTBYmNXdRGBgVIn/aUO1k0RZqxLxJqQZR2aoLFo2WDRvEFvqZ2xQj8+tZ48NzpHr9dbJSt2OJ6uTLdUKhGNxIhsRYhuRYlGY6hKuY1BEsz4CSKrMrKthOIs9+wWbUVUS/O4tF1DhJKjnNebBeJEkRQJW8mOrWhHTIsoCRWTyWS018RiMQKBAOl0Gk3T2NzcNJ6ZAOFwmGKxSDAYJJfLkUqliEQiBAIB8vk8siyzublJb28vwWDQmARXFIW33noLn8+H2WwmmUx+392XWmjh+wUtYttCC08JNpuNZ599ljfeeIPp6WkOHDiA2WxmYmKC9957jwcPHrB3714jHiefzyNJEn6/n28sv83vTf8ZSoPeTXhoitT7AieEEeKhKGlTElmWDYlzJBIhGo1SKBQIBAJGz6zVaiUUChEOh/H5fAiCQCaTQdM0XC5XHYnVNM2QDVcS1UqDqMoqrMViMciPIAg4HA4j61Z/bbus20onZZ0kN+q9fDN7nRW5sSv0K84T9FnKD/nKjNva6m3dZ1rhQrxbGTLQ0DiqzdrGVx58rWHvbVvRS2cxYLxnrdR6u8zaZihUVWy3lyJ3dLXXvV6JVCrF5OSkcf3oyGaz5cxGMAgfYMiBk8lk1X7a2h65RlutVtxud9U6ejazjkQigaZpfOMb36jaj6IoRiU4Ho/XEe/tEI1GuXPnDolEwug318+lGSFOp9MoisL58+erlquqapDw7yU0VSMWixEJR1EUGZfXRbCzDa/05Nmd5YTZctKsioJaEYP1/Y7PfvazxqSELpX/2Mc+ht//yJTt2LFj392DanD7KPrz2ENOxpJ7yJryZMz1E2ILrhWcsp22gh8JkaO5MXyKm9v2+6gNYn1UQeOmY5a4lOJQbhSpiUpAQKBHDtIttxGW4szYlgib4tufgwCrljCrljCdpQBjhX6Cis94WTJJBAIBg8gG2vxN49ueFNlMlkgkSnQrSmQrQiKRrPts69Q2moA5Z8FeMkG83JqhSiqaW6VkK1KwFpDtJTTT+5flK5JCRkqTsaXBA/RAWk5iL9kR0iLYBSy28rWpZ7g7nWVna0VRyOVy+P1+4xySySR2u9243+n3S/0Z7nA4kGWZ0dFRJEkiHA4TDpefgxcuXKC/v5++vr5WFFELLVSgRWxbaOEpIhgMcvToUW7cuIHf76erqwuPx8PBgweZnJzE4XCwtbVFOp2mt7eXtc11/r9X/4Br2e3zaX/xwP/A8bb9JJNJwuEwpVIJr9eL1+tFEARD2hQKhdjY2KC9vR2LxYLFYqGnp4etrS1isRhOpxO3221Ubj0ej0FiRVEkl8uhqqphBFVJVGvJbT6fN8iDPsBp9lqzrNtKcqsTTJ0o65guLPFu7m7Dz2a/ZYDTtkdVQ70XSic0egW4shLcSIbcDKIoEuyoroZlS/XEVtUk7kbrv0MBgQPZYcNEqLav93GzdHVUSZEb9NhWVmx7+7eXq124cAGHw8HJkyex2+1omsbrr7/+xMfWDJVuo4DhAH7u3Lm670C/Bh6nj02WZc6fP09XVxdnzpzBarWSzWY5f/78tuei9yg///zzdcYw3+s+umwmy/TUNO1d7fSP9CFJT04+dSJb1wes/mBJkHdj3vM0HK8fB5akFWp9zATIt2dxrrkZj+/lWtsdZFGuW2fK+4CJyDgOpXxeg8VuvIqLy8675MTGDryL1g0SUoZTmQPYt+mPFRDoUPx0ZPxEpSQz1iXWzZEdz2fTHGXTHKVbaufl9mc43XcMn9/7VCc/NFUjkUgQ2SoT2WgkZkyu7hb677r2uERFxJyxYsvYsZVKCKKAYIeCrUDRWqBkKyLbZJ5G90DRVKBoKpSNqdohoUWxKw5EQcQUMIOt3OuezWaNZy6U7zvZbJaenh5jX/F4HI/HYzxPo9EokiTR2dlptANFo1H27NlDOp3m+vXrXL9+nY6ODoPkfrev/RZa+H5Di9i20MJTxt69e9na2mJychK3243T6aSvr49QKMT8/DySJDE2NkZOLPL7U3/BbHap6b7aTV7+zuDnOOAfZWtri0QigcvlwmQyEY1GkWWZjo4OJEnC4/Fgs9lYX19nY2ODQCCAy+VCFEUjNzcajWI2m41MW03TDHKr591ms1k0TTOMoHSSq1du9YpuZRUWMKqw8HhZt7WRPpUZrTElxZ+m3m742fhFF592PtPUfKr23/rftU7L26Gtva2OaNdKkVVN4/bWTMPt9xR6cSn1fWtPKkHWUWkeVWrgiqzH/QTa/Lg9zWWFeubxyZMnaW8vV3b1ikAlIpGI8bqqqsRiMUZHR6vWiUajRnVCNzTTB3GN4Pf70TSNQqFg7LsWXq+XUCjUdB+VSCaTFItFjhw5gsNR/sxjsVjVOo0+d4/HgyiKZLPZ75m8L5POlHvfJRE0UFFRNQWz3cShiSeLalI1FVGQHlb1mptald2bd5dfq2ka09PTzM3Nkc1msdlsDA8Pc/DgQeLxODdu3CASiSBJEn19fRw9etT4Levy4GAwyMzMDKqq0t/fz8TEhPG95PN5Ll++TCgUwmazcejQobpjqJQif+1rXwPgL//yLwFob2/n5ZdfrpMiK4rCzZs3WV5eNlozjh07RiBQVlLoBmgvvvgit27dIplMGgZo213DOmwJB7RT1+tZ8OewhxzYZCsH46Pc8k/VraOIKnf8s0xEDmLSyvcan+LmhdQEVx1TbJnjDd8zbkrxHfd1TmT30y43jhCrREDx8Ez2EEkxw4x1iRVzqKEbcyXWlTD/bePPuZC5xmeHX+FU55EnlqvLJZlotEJWHIk1NL7bLs+7Mnqnch39+tGJbqWzMZRbRYSCgDVnw0q5t1UyS6gOlbw5R8GaL0uZze/fmEoTNLKmDPgAX1nCbNJMmAQzFquVtCWFS3OTTqXLLtEPr69CoUAul6O7u9s49kgkQjAYNM5P/13s27fPMGHc2NhgY2ODK1eucPXqVbq6uhgYGKCnp+epV9RbaOEHAS1i20ILTxmCIHDq1Cmj3/aZZ54hHo8TjUaNKt3trVn+9b0/It7AaEjH6Y5D/GzfJ4ltRlhYWEDTNDo7OwkEAkaVdW1tjeXlZbq7u42+wf7+fkKhEFtbWxQKBfx+v2EWZbFYCIfDpNNpwyQqHo8bMmWdzOpyZZ3s6uRWn1HX/9ZJbm11Fqh7TZdb1Wbd6lUxvaKnKEqZLEsCX06ep6A16CFF5POuj2AVzFWy49qKqNlsNoh3rctypSS4WUWvq6ue6NRKkaO5NMlifSyFy+RkONrcMOr9VER3rtiWb+3DexvHC+nQq/pzc3PYbDay2Sy3b9+uW+/+/fu4XC48Hg8zMzMUi0X27Kne9507d7BYLIZ5lNVqrapG1MLtdjMwMMClS5c4evQoPp+PQqFAKBTC6/XS09PDgQMHeP3117l69SojIyOIokgoFKK/v78u6sfhcCCKIrOzs4yMjJBIJLh7927dOlB2gu7q6kKSJMxmM/v27ePGjRtAWXVRKpXY2trCbDYzNDS07Wf4JKi8ZouFIlcuXmN47xDdfV3vy8k4UUgyHZthOjbDc93PsNe3F2FHIqIhCrurTN+6dYv5+XmOHTtW1SeoV8vb2to4d+4c+XyeK1eucP36dU6fPm1sHw6HsdvtvPTSS6TTad599118Ph8jIyNAmfzm83leeuklBEHg+vXr2+aGnjt3jm9961u8+OKLxgRFs+NeXV3l9OnTOBwOpqenOX/+PJ/61KeqrqPbt29z9OhRrFYrV69e5fLly7zyyis7fi6SLGGN2yn4a9QcIhQ68rg2PQRkH6PpQe6766PAcqY8U94HjMfHDHWHVbPwTOYwU7YF7tuWG75vUSzxrvM2B/N7GCn0VcVLNYNHdXKmeIjnnGZmzEvcys00jKuqxFJqld+5+Qd0Otr5zJ6PcrbnBCZx++FjLpsjshV9KC2OkIgndzWRVzvxWLvNdsS3Upmjt6Xo62oP5fayLGM2mzGbzFAELaHhkJzYbDYUUSEjpClY86hulYIljyq9f+WKLMjITpm8M0eSOAAmvwmby86GtIZb85KNZ404Pii3SBQKBTo7H8XXhUIhBgYGjM/AYrEwMDDA4OAgpVKJSCTC1tYW09PTzM7OEgwG6erqIhgM1k3QttDCDytaV3oLLXwAMJvNnD17lm9961tcunSJZDKJ1+tldHSU37/8FV69+e2m+bQAn+9/ib++/0fIpDMkpTiqqiJJktEXC+Vqls1mY3l5mZWVFYLBIF6v13BIttlshllFe3s7JpMJm81Gd3e3IYfW+2X1rFtRFA1X41QqRTabNcitTlR192OdBOvLa+XKUH7w6m6QuqmUTjgrSa9OOnVyK8syf5G6zLrcWDb3Sddpui1Bg6TWolJyrJNbfT2TyVRVud0OHV2ddcsyxYzx76IiE8k1zlp80XcGZbOB2VVFpfhJHJGhTIb042/cYytis1np6WtOLPX3f/bZZ7l+/Tqvv/46brebiYkJIxZHx5EjR5iamiIej+NyuXj++efriOWRI0e4fv066XQan8/H888/v6OU9/Tp09y9e5ebN2+Sy+WwWCy0tbUZVQu3280LL7zA7du3+da3voUkSbS1tTEwMFC3L5vNZsQJzc7O4vf7OXr0KBcuPDL0cjgcjI+Pc+vWLS5dumTE/Rw6dAir1cq9e/fIZDKYzWb8fj8HDhzY9vh3i3KWrGb8F8q9gQggmgWefel0+Vp4AlKbzqS5nbzDdGyGjeymsXwzG2Kvb+/Oxwa7IkSlUonZ2VmOHz9ukH2Xy0V7ezsPHjxAVVXOnDmDyWTC6/Vy/PhxLly4wJEjR4weQN1zQJ9o6+7uJhQKMTIyQiqVYmNjg3PnzhmV1FOnTvHNb36z6TFVTpY1kyjLssyDBw84deqUcV2dPHmSr33ta3UGaIcPHzaq9gcOHOCtt97adbSLPeyg4MvVVWRz/gy2kANRFenJdpIyZdi0b9VtH7UlWHKvMZwdeFRpBA4VR/Arbq45plGEBgRUgLv2eeJSimPZMUwNhnVWm5W2hwZPgbaAISv+NBAvJPnmwnf4q+V3yCvNJxEANrNh/s87f8SfPHidTw29xEu9Z7CarGiaRjKRLBPZrTKRzWYbu8fvBrXZt5X36tp4NP27qazeVj4X9OeKKIqGn4FO8vT19MqmqIiYcmZsOTv2gp1CsUBOzWJuM5O35MlbcuRNeRDff7+ubJFJW1LM8nByux1sfjv35Dv4RD+ZRBaL1WJUdCORCLIs15mm6T4ZgiAQCATYu3fn33wLLfwwo0VsW2jhA4LH46Gjo4P19XXcbjej+/byr6//N76++lbTbewmKz/d9XEG1SCLC4vkcjk8Hg9dXV0sLi4yPz9PX18fLlc5fsZqtTI8PMza2hqhUIh8Pk97ezuiKOLz+bBarWxsbLC+vk5bWxsOhwOTyURnZyeJRIJ4PG4QP53cSpKExWIx5Mp6HJAoigZp1c2mdHKrL9d7ayvJbWXWrR4VpA829H5YRVEMsiuKItPKMteKjfuOD1uHmbDtrZvVrxz41BLWSnKruzDD9sZRdocdj7dexpvMP6qyh7LJhmRk2DtAT6GdZaqjPmoHZU/a21iW8BaxWi0NpciSKDE0MrSrnrjOzk4++clPVi37whe+AJTNeaBMMM+dO7ftfoLBYN1+dOzZs6euwgvlQeihQ4caSk51dHR0NK2avfzyy1V/DwwM1JFe/Vx0jI+PMz5eLe8VBKHKefdpQxAE0EBBJyYPrxqt4vXHQDqZZn11g/WVzXJlevAeWo3Z0GZ2dxJuYZfvn0wmUVW1oVw7lUrh9XqrqkJtbW1omkYqlTKIrT7xpsNut5NIJIz9C4JQZQJV2W/4pEin06iquisDtEqDMf2Y8/m8IbFvBk3TMJXMWBM2Cr4aV3sR8sEsjk0XaLA3MURWypGyZOr2s+hcxVmy0154ZMQmCAK9SgeejJOL9knSUmPCuGbZIillOZ0dp8fVWTZ5aisbPblczY/fZ/XwxX2f5TN7Psq3li7w+tJbZErbRwVF83H+69RX+crMNzkkjtKbDCCUnn6fdm30W6PrVCe+lSZ8lR4LlbFeukmhvh9dCq2/rhNdvXVGUzUsqhV33o0nX742EskEsrWEOWgmZ8qSlTKULO9fwowAeXOOJWWRJWUR2kAKSFxI5QmYAqTjGZx+p/Hsrzz/H6Qe+RZa+KDRIrYttPABQJZlJicnyeVyDAwMsBYL8S+u/AEruTAHO0YbbtNpD/C3x3+cgNnD4uIisizjdrsZHBw0svHm5+dZXFyku7vbqGqIokhfX58hTS4UCnR3d2M2m7Hb7fT397O5uWlIPHXZsc/nw2KxsLW1Zcxyx2Ix/H6/IdH0er0GudUNpsxmc10ckL5clysXCgWjOgv1WbdWq9UYiEiShKqqRm9tREnyWvq9hp9RUPLyI+4zVQOdyh7d7R7wZrPZ6O2tHOA0I7a1bsg6cnK5KpMpFkgX66OZBAS+OPY5Zt+Zrn+t5v10edyTyJIL+TySqTFxtVmsDI0MPfY+W3g8lCudYt0AvIxHVdpyz6xKQ/vcXUJVVO5PPWB9ZYN06hEpkgQJa9FK3lp9LW7mdia25d/M7nomn4aRVqPf55P2mX8QeFJzJF32at9y1hNbIB/IYt9yImkSoiYynhjjWmCSolRPiKY8c9iiNlyyw9g3gFO185HUBNcd02xYGitZ0lKWd3y3+J8O/xTHOg4/1jm4LE4+N/oJPjn0Em+uvMc3Ft4gVkhuu01OzXNZneS6XWKP2MNosQ+b9vTNi2rbTSqrs5UyY/2/uuoHHlVna6u1gCFLrvxbFMWqnt3Ka1ZVVRRZwW3z4Mg5gLZyi5FZwN5hI2vKkNSS5Mw5NPP7lzArgkKotEmotAkP53vCKxsEre0Ere20W9ppt7dif1pooRItYttCCx8ATCZTXeTE5/nRXW+v95zVYmBggPfee4/l5WXy+Tzd3d3Gg9fv9xvS5OXlZTo6OgyjqZ6eHqLRKJFIhGKxSFtb2RTJ4XDQ09NDKBSiWCwCZRMgv9+PyWQyZIWVlVtJkjCZTEaPrl65FUWxqjpbS24rs26LxSKiKBoSMVEUKRQKZIs5vpR+g5JWL681I/ETnhexCNUVnFpS25hkPPpedHKrKIoxCKrcTkdnAxmypmkUKcuAN7OJht/R8z2n6LZ1cC15tWp5M8MoffD0JFm2ZlvjQeTZo6ew2WptWlt42rBKzR1pNU0jLSfRePIBroCAKIiIiAhmEUXWDFJbabhmL9rriG28ECcvF3CYt3MR1hB3aQ3rdruRJIlQKFRXNXK73SwsLFSpISKRCIJQzsre7f41TTOyQKFcxS01yGnWsRsTNt1Ab2try6i8qqpKNBp96rJNMSdhTlopeaolvZqkkQtksIfK+eE2rBxK7uO6705dpV0VVe74ZjgeGcesVd/rzJg4qxxjxRzmUul2Q7VIXinw2zd+n0/veYXPj37ysc2ebCYrz/mPMyr38fb6VS5lbpEStq/gyoLCrG2ZB9ZVhopd7C3049jGrfn9oJkhYKXHg/535WSM7sKuL9OvK6M6+3DCU1cU6csqibDe761L4GVZRpZl/G4/DtmBq+SGkEjQ2oG3w0tGTBMpbZE1ZVHsMqrw/sluWkmTzqZZyM4D0GHr4Cfdf/1977eFFn5Y0CK2LbTwAwRRFOnv70cURZaWligWi/T19RkPX7vdzsjICCsrK6yvr+P3+2lra0MQBNra2rDb7YaLov63yWSiu7ubaDRKKpVCEASi0ahR0dUdlysrt7qM2O12k06nyWaz2O12g/TqofSV0mOgyk25Ml9WlzO/FnuPsNKYMH7CcYqAUD1IrnU5bmQMVYtKctuUFIsC7Z31Tr3haBgEiOUyFBv0tjpMdn5s5JNEo9VuvLUS5EZ4XHKbzxewyI0Hj584+3LD5Y8Lp9NZJ+WtRUdHx47rfBghCOVoncevRwokogmCbcG66/fgof2sLq0a/ew67EUbsdrdAJu5TfaYh5q+kwaIu5QxSpLE/v37uXXrVjkGKxikUCiQSCQYHBzkzp07XLp0ifHxcQqFAteuXWNwcHDXGZt6y8WVK1c4ceIEgiBw48aNbSvFVqsVSZLY2NioapeohMlkYmRkhFu3bmGxWAzzKEVRGB4e3tWx7YQqeXXIUUdsAfJtWWxbdlDLlUVXwcHe1B5mPHN16xZMRe75HnA4tg+32230x7YFA7jc5UmFj0Rm+He3/pB0E9nw1+a/zUJymV84/D/isjSXIiuyUs5J1vtjI1HkUvne5sXGOeEUq6YwU5ZFklK9fLoSqqAyZ11j3rJOf6mDseIA7gau8E+Kymu+8tlR29pRW52tJL469N7pWlmyvo6qqoa3hY5CoYDZbDaW5R+60+vXuB5n19bWhlWzYi6Zyaxm6fB0ETQFyQoZVpIr5M05NI9Glu0/z119Ju9DBdJCCz+MaBHbFlr4AYOiKASDQaxWKw8ePGB+fp6BgQFjFlmSJAYGBtja2mJzc5N8Pk9XV5dBOAcGBlhfXycUCuHz+Yy4n7a2NqxWK5FIWeamuyXr5Fav3KbTaZxOJyaTCVEUq2TJOrmVJKlhX60e56MPJvS+V5PJxI38fSZL8w3P+bhtjMPWYYO4VhpAAVVV4d2SW0VR6lyUoTwIamsLYDbX3x5XNlaRVYWtXGM36x8d/jgui5OVSH1vrd1u3zZjcDu3z0YQERE0gYnR6v7U8cG97B14NGDfjTFQC98PEJCQjP74TDpjkBgdZrOZ8SMHuXb5etVye7FxVXYzs8kez9A27/h4OHjwIIIgMDk5afyuR0ZGMJlMvPDCC9y4ccMw+dLjfh4Hp06d4sqVK7zxxhtG3M/k5GTT9UVRZGJigrt373Lnzh2CwWBd3zWUjc00TePSpUtG3M8LL7zwVDM/9XuPKWfGnLJQcherXtdMGvlAHvvWI6LXlQ2SktKsO+tl43FrEvWYyMfGGveXj7eN8f955lf5nZv/mYXkSsN17kRm+Efv/Ut+6djPMeTpA8pKj7JbcYRIOEo8HkdTt7nnaNBbbKe31M6GKcK0ZYmoaXuJsiZoLFk2WTJv0qu0s684SED1NKy2Nvr3tvuuua/rf1cSUH3StJa0VppGqapqGI5Vei8YbuXFomF0qO9DVdUqBUIulzMmVPS/dZNG/W9FUcp58whYSzakTRN7OkZoF9qRNZnZjRmKtiLmgIm4GqPA9gZe3w947bXXtvUkeOONN/D5fExMTOy4r8dZt4UWdgNB+35qcGmhhRZ2xHe+8x0CgQB2u51CocD9+/cplUpVplI6MpkMy8vLaJpGV1eXEXeiqiqRSIRYLIbT6SQQCFRJtDY3N43BgJ6Pq2+nx3s4HA7joa9pGul0GkVRjCqwvn4ul0NV1XKcgqIYfU26/FhRFLa0JL+f+CYy9a6fXaYAf8v/I5gEyRhcwKOBTOUARkdl1EMzcw2dAOsRQ5WyxoOHDzC2v16m+PXz3+QN8V2ShXoDl15XN3//1C8jiRLvnH+X0EbYOD6Hw8GP/MiPPJU+xRZ+cJAuJVEbXNNQnnAQEOsqLpJQriIV8gWsNmvDiYnvfPs80cijGq0qqNwZuFvHVA+1jfO54eYtEJpW3UMoIGI3bW+U1EI9Xn/9deLxOFC+r5QcRVIj8br1hJKIb7qt7IhNWQbrbfPxjuky66XNuvUB/vq+n+BUZ/NBf0kp8Qf3vsyFtctN1zEJEi/aT9ORLE+YPCl05+4tMc60bYmQqZFOoDE6Sn72FQcIKr7ytV9zT250D6+FvqxSZqwoSpWrvqqqhhmhbk5YKBQwmUzGREaxWERRFEOarigK+XzeMFfUNI1MJlPltq0/9/TMbV2toE8yq6rK5uYmbrfbMEALhUKoqmoY2iUSCUKhEPv27cNsNlMsFpmdnWVoaMgwW7s9cxvBC45OOzE5SqQU2VbC3G5r54t7f7rha6+++uo230h5omo7475m2InYFgoFw3djJ7SIbQtPG62KbQst/IBBEASmp6cZGBggEAiwf/9+w1Sqq6vLyLmFspRUlyavrq7S1tZm5Nq2t7djs9kIhUJsbGwYD2iz2UxPTw+RSIRMJmO4oeoz0x6Px4gC0quQeuRAZc+tXtG12+1G3E9l9AKUpYSpfJovx883JLVWzHzOcRbTw5zNykprpVFIo8+oUexDo/V0cls5y9/IOKpULLGQWSZpaexK+sWxH0MSy8cZi8SN/euz/i1S++GDSTAjPzSPgkc9swLV162qqsY6iqYgIWG1WSkWilisljpye/T4Ed741ncMLypRE7GWrBQs1dWejUxjslTGznFXLewOtS0R5qwFU9qM7KruD9bMKs69dvZ59tMWDOD2lKt/R4uH+RfXf5d4ob4N49WZr9JhDzLo6W/43mbJzN8a/0mGvYP816k/aZhJK2sK386+y5DSzSFGdt1X3eg8BUGgXfUTzPiIiSlmbEusmbZ2LP+HzDFC5hh+2c2+wgBdcltTNUkjF+TKf1dKv3Xyqk9QVq6rk9zK9aBcfa2s1pdKJUNppL+uaY+y13Vzw0p37Gw2W0WW9QlcfXJZlmVyuZxBhKHcM+5yuQzCF4/HEUXRIMK5XI5SusT44DgBZwBN07h46SK+Hh/ePg/hYoitwhbxUmxXEuTPfvazxr+Xl5e5c+dOlXP942bb7jb6qjYKroUWvptoEdsWWvgBw9jYGIqisLCwQDqdpq+vzyCvGxsbhityZY7r0NAQoVCIcDhMPp+no6MDk8mE2+3GarWyvr7O5uYmfr8ft9tt9NBZrVai0ahRjXW73YYhjC4/1gcAOrmtdEvWK7M2m41sNttQivb17CViamNp72fdz+ETXRSLRWMwUNlHpaqqYRhSi+3IbTMJsk7gvT5v3f42Nje5b24s+TvVeYy9/nKcTSqZMoxJnsQUqoXvPj6oqoEglMmtnl/bjEiKoggaD52TH5Fbi9VSlomK1ZJyn9/HnuEh5h8sGMvsRVsdsY3kI5TUEmbx/UXmtLAzKu8xoihi33KScsXr1os5I/Tv6UMSHhEEt8XF3zr40/z2zf9ASa3u3Zc1md+7+9/4vx//u3gs1R4DhUKB6MPeWHFL5mz6CJfsd8iL1TJoHQvWdRJSmpOZg9i1JyMflfmyftXNmew4STHDrHWZZXOozgyr7vxNKd4z3cGjOBkrDNBbakd8WMGtvF82im9rlkNbSbYqJyp1SJJkKJDgkZuybpioV3j16q9ubqgTaN00SlcuKYpCqVQyEgagrI6y2+3Gc0qPStOJbrFYJJ/P09fXZxxnIpEwJpoBtra2jAxtgFgsRqlYYm/PXrxuL3spV0hLaoloMUK4EKZE4+8aqMp21o9LXzY5Ocna2hof//jHjXVmZmaYmZnhM5/5DACXLl2iWCwSCAS4f/8+kiTx6U9/uu595ubmuHnzJs899xydnZ1199P79+8zMzNDNpvFbDbT3t7Oc889V/Wd3bx5k/n5eURRZHh4+IkqyS20AC1i28KHGJlMhq997Wt87GMfw+/3EwqFePPNN/nc5z73VHuvnjYkSWJsbAyPx8Pc3BzZbJY9e/bQ39+P3W5naWmJQqFAf3+/MQAQBIHOzk4cDgcrKyssLy/T3d2NzWbDYrHQ399POBwmEolQKBQIBAJGddZisbC5uUkulys7QPr9CIKA01l2+Mzn81Xk1ul0Gr21eiZgJdHT/20ymbiYucudfOO+2mcc4xxyDhuDiFKpZMjE9KqvvvxJyG3tevqgqqOr3jQK4Pzye2SE+mqtVbLw+dEfMf7WJaK7MYxqYXtcunSJhYUF42+LxUIgEODIkSP4fL7v2XE9LnZTGS1XcgWj4qaTW0FsvO3BwwdYXVmjWCgPbG1FO1Bd8dPQCGXD9Lp63t8JtLAjzBYzbQ9zY9uCbfj8Xr6+/DXC+er+2Yyc4X5iln2+/VXL+929/OTY5/kvU/Xy0UQxye/f/e/87J6fJBFNEN2KEo3GyKQzVa7APty8IB/nqvMeEVNjE76YKcV33Nc4lTlAm+J7onOtJLeapuFRnZzI7edAfohZ6zILlo0dHYCTUoYrjnvcU+cZKwwwUOpCVB95JdSisgWl9t6qr6+3qpjNZuM1RVGwWq1VZLbyuaC70iuKUpWFC4+ylRVFwWQykc/nEUXRIMQ6GZZlmVKpZBBSvTXH7XYbz+BkMmkYMQJGOkBbW5txLrFYjM7OTuP8dAdyfRsdZtFMp62LTlvXE0dU7RahUAiz2cyLL77Y8PWpqSmmpqZ44YUXjHOpRDQa5fr165w5c4a2tjaKxSLhcLhqncXFRcbGxnjllVeIRCJcunSJYDBIV1fXB3JOLfxwo0VsW2jhIdra2vjsZz+7q76Q7zUEQaC7uxuXy2U8WIaGhupMpfr7+6tcSd1uNyMjIywtLbGyskJ7ezsejwdRFOns7DSkycVi0ajq2mw2ent72djYoFQqEYlEDLmzw+FAEASjcqubRNnt9nKf4MMeWn1gYDKZKBaLlEolVophXk9eanh+PVIb51zHgUcDmWKxWCX30z8HfX+PQ24bQR/4dDSQIWdKWd7LXm8ot/uRoVfw2x5VeHVi+6T5tC1Uo6uri1OnTgFlF9LJyUkuXLhgVBV+UKBXXLeTEApC2UCqjtw+7G2srNpaLBbGDx/k+pUbQLli2wgb2Y0GxLalIniaOP3sSRyuevffY8Fj/OXKX9Qtv7l1k73esboonhMdR1lNr/HGyoW6beaTi/z7d3+PseQeY5lOLiurmnbNyrPpI9y1zTFnW214vEWxxDuuWxzMDzNc6H0ig7lacgvg0Gwcze9lX2GQB5YV5qxryELjHnMdGTHPdfsM96wLjBb6GJF7q6TSzUis/nelnFZvJ6mc+NT7bvWqrqqqhvmh3ktrtVqx2WxomkY2mzWMpXRTKd2DoVQqVVWJo9Go8d6SJBnJAfp2kiSRSqUQRZFEImEYNUJZhqxnwkOZ+MqyTGdnOWZOlmUikQh79+79nrYMmEwmTp482VCCfPPmTRYXF3n55ZfxeutVTvBIst3d3Y3ZbMbpdBoTADq8Xi/j4+NAeYxy//59QqFQi9i28ERoEdsWWngI3cn3+wGVUTi1SCaTxnG63W6OHTvGzMwMDx48oKuri+7ubg4cOMCDBw9YWFigt7e3ysnRYrEwPDxsOCPncjk6OjoQRRGv12tIk9fX12lrazMMNXp7ewmHw2SzWba2tgzDKb33Vn+g66RW/29lb60e65PXinw5+h2UBhmfDsHK55xnkYsyokU0+l71HildLqYPXqxWK4VCwajoNvrcmpHbupgfQaCjo75i+8f3XqMo1OdpdtiDfHTg+aplsUjMIMnfbzLkV199lbNnz9Lb2/vE+ygo+ceOmNA0jVKxiAZYzGaEiu9IQNg2D1bv04ayjG7//v288cYbhivvzZs3WV1dNeTvAwMDjI+PG9eBLrkbGxtjcnKSUqlEV1cXJ0+ebDqJtba2xsWLFzl+/DiDg4OEQiFu3bpFIpEwlAzPPPNMVc/dblGOANqe3JowIT/Mct6O3A4ND7Iwt0gsGmvqjLyR3a7PtoWnAafL2fA77XcNELAGiBaiVctTpSRzyTlGvaPGsmKxSHQryp5UP3fUNkJipG5/G44wrpKTnlx58q3W/V2/zwmawOHCKH7FzQ3HDEqD6qkmwB37HHEpxdHsGCYe3wOgEbkFsGkWxgvD7C0MMG9d5b5llaLYPI8YIC8WmbTPMaMtMVLsY7TYh1V4lDGrn6MOvbqq/85rZcqAQWhVVTXkxHokHVT30lbKne12u3HP0ftgg8Fy/FYmkyEej9PZ2WmQ3Wg0avhNKIpCNptFFEVSqRTJ5CMH6WQySSqVMqTRVquVpaUlzGYz8Xgcq9Vq9ObGYjFUVaWn53urtvB6vQ1JrR6Zde7cuTrTykroSrGvf/3rdHV10dXVRW9vb9X3VEuKbTabEaXUQguPixaxbeGHHpqmMT09bch2bTYbw8PDDA4OVq1XK0Wen5/nxo0bnD59mps3b5LNZmlvb+fUqVOGu7A+aB4ZGeHu3bsUi0W6u7s5efJklZx5bm6O6elpIwd27969jI6WBzW6JPqZZ57hwYMHRCIRTpw4wZ49e2iEBw8e4PP56O3tNYyJDh48yMrKCouLi2QyGYaGhti3bx/z8/MsLS3VmUqJokhvby8Oh4P19XVDmmyxWAxysLGxQSgUwuv1Gr1EHR0dxONx4vE4kUjEIMJ6pTadTqNpmlHJ1WVeuvmGxWJBA/4s/Q4JtbE751/zv0SnNUg+n6dYLBoz6/q56iQWHlVzdXKrz5I3ehDXkttGLpyBNj9mSzXZWU6t8W74asNj/cLYZzGLj26jpZJMKpmq6/H6YUK5W3T7cyuVZAq5PAhgd5QjoMzWR59r9fa7l9KVSiUWFxdxuVyGQYnZbOb06dPY7XYSiQRXrlzBbDazf/8jqWc6nWZ1dZWPfOQjFItF3n33Xaampjh8+HDdeywuLnL16lWeeeYZenp6UFWVt99+m+HhYZ555hlUVa2q1DwJdqzeCuya3B49foQ3v/0dJFXCIlsomqp77jYyG+/rWFt4cgiCwLHgBH+1+u26166HrmGOWohGyj2y6VTamBAb0QZJtqXJm+qjXx54FnHKdrylxpne+vsKgsCA2o034+Ki/Q4ZqbHp3aolTFLKcCozjkt9/IndyvesncizYGJ/cYi9pQEWTGvMWJfJidvH2RQFmXvWBWYsy4zIvYyVBrAo5Xusfl9vFPHTjOjqz2G98ioIghHto1d09W10iXFlL22xWCzH9VT00lqtVoP46pnSnZ2dRkb6/Pw8PT09+P1+VFVlfn4eSZLo6upClmXi8TipVMpINkilUhQKBQRB4Pbt28Y5CYLAxYsXsVgsWK1WrFZr3b+dTue2xLIZGn1fjZ5Zzcyi2tvbjbHDgQMHmr6P2WzmYx/7GOFwmI2NDSYnJ7lz5w7nzp0zvpsPWk7dwocLLWLbwg89bt26xfz8PMeOHSMYDJLL5UilGpsV1UJRFO7evcvp06cRRZFr167x7rvv8sorj7IF0+k0y8vLPP/888iyzOXLl7l27RrPPPMMUB4oT05Ocvz4cXw+H/F4nCtXrmAymRgaGjL2c/v2bY4ePcqpU6e2dR7s6+tjcnKSdDrN3r17DXLX39+P2+1menqaqakp9uzZw8jICKurq2xsbJDP5+nu7q56iPj9fux2O8vLyywvL9PR0YHb7UaSJHp6eojFYmxtbVEoFAgGg5hMJnw+H2azmXA4TCKRwOl04nQ6jVnvVCplRCWUSiWDgOhy5YvFKabzSw3P7QXXUfbayuYaNpuNQqFgkGNdaqwvr8zA1cmtHuMAjR/IlZK9RiYltTJkTdP4v2b+tCEBOdS2j0PB6j65eDT2PTeM2q1z5dNEJpulmC8gCCJOVzkGymx+/MFWI6yvr/OVr3wFKA9ObTYbH/nIR4zv7eDBg8a6TqeTsbExlpeXq4itpmmcPn3aqNAODg6yublZR2xnZ2eZnJzk+eefp6OjfC3ofdy69B+o63lrhnBoi2BHfd+Zjm2rtw/JraIp5akETS1nF9eQW3/Ax9CecuXWVrDVEdtQLoyiKoZjd0uG/PShaTR1BR50D+G1eEkUq3tek3KC9x68iyX5SK2gS16tgoVD8TGuBe6gitVkQxM07vpmmYiMY1MbG0BVkly34OSlzAmu2qfYMG81XD8lZTnvvsbxzH665ObX63bQXeorY9Z0iKrAcLGXoWI3y+YQM9Yl0k2Itg5FUJgxL3HftMxAsYuxQj8+ofy7qyWx+rlWKjD0Sc5ac0Cz2Uw+n0eSJBRFMSap9f5bi8VSlUsLGOvobS+607GmaaRSKVwul1GBjMfjSJJkTAYXi0UKhQLDw8P4/X40TSMUChEMBo171OLiojHxpigKsViMO3fuMDQ0ZFQv8/k8qVSKfD5vkGkAn89XZQC1W1itVsMHo1IevVsEAgFGR0c5f/48giBU3W9robc6dXZ2Mj4+zp/8yZ8QCoUMI60WWniaaBHbFn6oUSqVmJ2d5fjx4waJdLlctLe3G66F20FVVY4fP26YIpw+fZpvfvObRCIRY5miKJw+fdp4+E1MTHDhwgWOHj2K3W7nzp07HDt2zLiJu1wukskkDx48qCK2e/fu3dWNfmBgAJPJxO3bt7l16xYHDhwwZph9Ph/Hjh1jenqa2dlZenp66O3txW63s7i4SLFYrDKVAowKdiUBbmtrQxRFAoEANpuNjY0N1tfXCQaD2O12nE4nkiSxsbFBJpMxZrUtFgsej4dkMkkulzNkXzqhnEos8K30lYbnNWju5GVXtSttZS6hnn9bSW51KZm+vJLc6qS3FjrxrCSg+n87O6uJ7eXNG9yP15tbCQj85NiP1S2PReNV+9stmqkKDh48uGup7ejoKPfu3SOTyfCFL3yBVCrF5cuXiUajuFwujh07VvWeiqJw8+ZNVlZWKBaL2Gw2RkZGtp19B1A1hUghQkHOI4kSXosPp8OB01HfY/g00NHRwfHj5X7rUqnE/fv3OX/+POfOncPpdLK0tMTs7CyZTKbKPKYSTqezapl+/VRiZWWFQqHARz/6UQKBgLHcarUyNDTE+fPnjcGZbtS2E4IdQeKxGHaHA6u1sSHdttVbAaPndjtyO374IGsra9iLNpLOZNUuFE1hKx+h01HfO94IjdQMLTRH2fFaraqil4qlciU2EiUSjqCqAjRQlOY6spiT1VnF+kSeW3NxIDXKHe9M3XYlSeauf5ajkYNIOygeNE1D0kTO5MaZVhaZsi40JOGyoHDJdYex/AD78oNP3He7XRuGiMhgqYuBUifr5i2mrEskpPS2+1QFjQXrOguWdQaULvaXhnBq1qpJSt3xuDLbFqplyfrzQ5cL66of/Vh1l339WappGrlcDqfTadxrM5mM0X4D5Z7/Uqlk9MWqqkoymcTr9RrbxGIxzGazIbfVq7N6BqyqqmxsbNDX12fcUxYWFrDZbJw8ebJhNVMn4fl8vsrt+XHQ0dHBtWvXmJqaor+/n/X1dTY2Nh4rAigYDPKRj3yEt956C1EUG+barq2tkU6naW9vx2KxsL6+DlDVHtVCC08TLWLbwg819AxWvfryuBAEoWqQ6/F4MJvNpFIpg9g6HA7jQQcYQeupVAqz2Uw6neby5ctcufKI0DUafFe+z07o6urC6XRy7do1bty4wf79+w2XWKvVyqFDh4xZ4Ewmw+DgIFarlfv37zM3N8fAwECVqZQkSfT39xONRququyaTCYfDYUiT9Uggj8djmEqtr68bfUZer9cwidKlX/pAOScU+bPsOw0H8C7Rzo86nkMulftqdSdK/XPSe5l0l2X9PIvFokFu9eUWiwVZlg2nytrPuVH0j14R9gV8xnp5ucCX73+t4ee/LzBEu6O+shGLxp9IgrydqmC3UtuVlRWee+45g7C/8847WK1Wzp07R6lU4vr161XvOTs7y9raGs8++ywOh4NsNmtUKLZDXs4TtAUf+xwbIZvPcW3mDh+baOy4CeVrs3IQdPLkSb761a8yNzdHd3c3Fy9eZHx8nK6uLsxmM0tLS8zMVJOB2sFho6q6rqaYn583nL91nD59mr1797KxscHy8jKTk5O8+OKLDV1Aa+H1lwe0hUJh23zHptXbXZBbi9XCwcMHiNxtLJHeyG7sithqaOSVLLXMZzuiq6oKlVVgQZAQd0GMFUVhcWGJ5YWVD1S2L0kSXq8Hj9+D1+fD63EjmZ5M0aBpjSYgyuL88OYWaytrRLai5b5K7ZGBnAkzYlBCtVQbKSl2mZK7iCVVfV3oRKu9EGAw08uis94EKm3OMuudZ19ieHckVIN9hUF8sourjilKYmNCNGNbIi6lOZ7dh0V7PCPFynzxbY36BJFeuYPuUpCQKca0dampi7MBAZZMGyyZNugytTGuDBPUfMZ7NpIlV+bSAsYEqCRJFAoFw+lYd0qu7L/Vq6J6H73eO1sZ8ZNOp6tkyXosXuWkdyKRoKvrkXvx1tYWDofDUH1EIhFKpRIDAwNAefJufX2d/fv3N5Xo6pO47ycv1uPxcPz4caamprh37x69vb2MjY0xNzf3WPtpb283yK0gCOzdu7fqdbPZzOrqKnfv3kVRFFwuF88880xTs6kWWni/aBHbFn6o8d2WZNZCf6CePHmyjrjWDhZ3e6x6Rc/tdvPcc89x8+ZNJicnGRoaMvpuRVFkz549uN1uZmdnDWmybio1Pz9PX19fFWEQBIG2tjZsNhvLy8tGb26leVQkEiEajRqRQGazmZ6eHjY2NpBlmVgsZvTE6lWxbDaL1WbljyLfJqVm685HQOALgY8SNPspFApGX22lk7JuCqUPNvQHusViMSKECoWC8XelOYiegdtMgqwPjDo6q02jvr7wbeKF6uoXgEmUeLHv2YbfTSzy+FLk7VQFsDupraqqnD592pis2NjYIJlM8pnPfMYYdB0+fJi33nrL2CabzeJyuQxTlN0aITnMzh17bJtBlmWiW1HCoS3CoS1uzN7hS3e+xcf+bXNiW4tKk5dIJILD4aj6jLLZ+mtsN9Cr2m+88QaCIBhVYh1+vx+/38+BAwf49re/zeLi4q6IrQ6L1VKmQKrWfMDarHorgCSU1QsqahW51TE0PMTM/H0WWKzb70Zmk6O7nIsov3e1wVozubSqqca1IAoSAgKCsL3zs6ZpLM4vcXfyHoX89v2WTwK73UZbsO1h7E6g3B9ZE5n0uOZnldtpmtaw4ul0O1heWkEuPSKMRvVbA1vIQbavvgUm357BnLI0JKeqqjKU6SNjyrJljdW9HrJHcJUc9GW7dz72h8fSqbTxQnqCy467JE2NVUshc5TzruucyhzEqzZvKWh2r9OrzjvdBwUEOuUA3WqQiJRgyrLAhmnn/vUNc4QNc4QOJcC+4gBteIx7fqXkWIcuS66MBYKyGZ2qquTzeSPLVv+c9MxVfT/6pJ/ejiDLMplMho6ODuN3mEwmcTgcxvMpHo+jaZpxnygWi8TjcUZGRoxt1tfX8fv9xn7X1tZQVZXh4eEdP4fHwZ49e+p8O0ZHRw2vDx2V99LTp0833FetI317ezuf//znjb9ffvnlqtcq/65Fo9eef/75Bmu20MLu0CK2LfxQQ+8X1fPgHheaphGNRo0HUzKZpFQqVRFCvdKlE4hoNFqWkrnd2Gw27HY76XS6zqzqSXH79m36+/uNCtWJEyeYmZlhfn6eTCbD6OioQZKDwSBOp5OpqSmmp6cZGBioMpXq7Oykra2taoDsdDoZHR1lZWWF1dVVAoGAYTylS5E3NjbY2Nigvb0dq9VKV1cXm5ubRlVVVVWy2awh+/qL6CUe5BtHT7ziPsGwrazT0/uJdFOPSlmUTk71fiO9p1dfrvcy6ct1CXRl1q2OyvPVB2Ad3Y8qWpvZMN9aekQCK9Hh8DDgrpeMp1MZwwH6ccjtTqqC3UhtHQ5HVQVeH2BVymVrSdiePXv4zne+wze+8Q26urro6el56vEKqqoSi8QMIhuLxKqqcwP+buzm7asOqqoag0p9EkCWZXp6eiiVSmSzWZaWlggEAqytrbG62vg62w3cbjcvvfQSb775JoIgMDExQTqdZm5ujp6eHux2O6lUilQq9cS/Z0GsN4CqW6dJ9VYURdDKhFIntwg8JJQCpyZOcH32BkWxxkBqV87Iu6/Salq5cgwaAmI5g3cXVdrQRojbN++QTNRPGD0RBPB6PY+IbFsAh/PpSuJLJZloJEp0K0pkK0K+UOCFjz5fJ9m02+0cmTjMtUuPlBGVsm5r3EauM4Nmrp4Ukp0ysrOEOdMkO12Dsfgw2ba7ZE31ioo59zJO2YG/uHMFTK+mOlU7z6ePccsxy4ol1HDdrJTngvsGR7J76S91Nt3fdu9VO5nYbFtBEGhTvJzNHSUuppixLrEshZr2LesISVFC9ih+i5tD6gi9aodBWvXvR8+qrZQY6+ZRepVWb3nRjZ1sNpuR2a5vk8lkjElewIjx0ccChUKBXC5Hf3+/sU0sFjNadKBcrRVF0Zi0zGQyJJNJo01E0zSWlpaM9qEWWmjh8dEiti38UEOSJPbv38+tW7cMy/5CoUAikTD6YraDKIpcv36diYkJBEHg+vXrtLW1VZEESZK4dOkSR48eNSSflf0y4+PjXL9+HbPZTHd3t2EOUSwW2bdv32OfUzAY5MaNGwwPDxsZd/v27cPr9XLr1i2y2WxV363dbufIkSM8ePCAxcVF0uk0e/bsMchpoVCoM5UymUwMDg4SDocJhULk83nD9dHpdDIwMGD05AQCAVwuF11dXaytrRmRP/pM+HxpnQu52w3PZdTcyynTmGF4VNk31ci92GQyYbfbyeVyRtxLJYktFApV5LYyA1ePA9JR2QcmiiIdnY8iNF6d+TMjS7QSDpOFoN1Dm62RDDlmbP84PYrbVeq3trZ2JbV9nL4oHX6/n09/+tOsr6+zubnJu+++S2dnJ88999xj70uHpmkkYomHRDZMZCuKIjfPsRRFkeFg/7b73NjY4M///M+B8nl6PB6ee+45YyJgbGyMa9euoaoq3d3dHDx4kDt37jzxOXg8Hl566SWjcrt//35SqRTvvPOO0Ys8OjrKyMjIE78HPKoaNiO4zaq3oiAiIKBoSh25DbQF8M/52NSqycpmdnOH6/JxSa2CgIAomHZ1rScTKSZvTrK50ZhE7RaSSSIQ8D+sxraVXcyfcu54NpMlUkFkE4lknd/WnVt3OXr8SN22/YN9rK+ss772yIm6smprDzvI9tT3lOY6MpjnGxNbTdMwCyYOxka53nYXRaz5PQlwz3eficg4dqV5bJYOvZpq0iQmsvvwy24m7XNoQj35VASV685pEoU0hwojPK5Qo1EcUO31Uqte8GsenikcZlzIcs80z5J5s+GxVSImpXhLuoFHdbJX6WeQrrr+252Irp4IkM/nyeVyiKJoXFu6n4P+3NeJrj5xDpBIJDCZTAbRzWazFAoFYwJM0zQikYjxHIVytdZisRj3smg0SiaTMXK7W2ihhcdHi9i28EOPgwcPIggCk5OTBhna7aBUJ8bvvfceuVyO9vZ2Tp48WbWOy+Wit7eXt956y4j7OXHihPH68PAwkiQxPT3NrVu3MJlMeL3eul6U3eLIkSNYLBZu375NKpXiyJEjmM3mbftuJUlibGwMj8fDgwcPyGazDA8PY7PZDFOpvr6+uqpmR0cHDofDcE3u6urCbrdjNpvp6+sjHA4TiUQMoygoDyCy2SxutxvZBn++9F7D8/BKLr7YcQ4KqlGBlWW5Kr5H/74qBz+6eYdeKddf13OIc7mcIUsWRbEq61Z3HYXqioHP7zPMfW5t3WMyMl1/wBp0Or10OxvL/qKRRxK6WnOq7bCdquBJpbYej6ehkqAWZrOZgYEBBgYG6O/v5/z58zv2gtYiVoixnlkjOZUmEopSKm6fV1mLkfbmxPb06dNN5XA6jh49ytGjR6uWVZqYHDp0iEOHDtW9XrlOrRzO4/HwYz/2yBzs7Nmz2x7D+8GTVG8FQTD6bmvJ7XD7MJuhagJZVIvECjECtkZ9/I9DasuTTdIuCW0hX+DunSkW5xafyCncZrfR1hYwiKzX53mq0SCaqpFIJIhsPSSykSi57M595gsPFunu6aajqz7z+uiJI0QiUYqF6qq5IAhYo3ZyHRk0U/VnIbtKlBwlzNnmJN2h2DkQH2HSP1NXyZRFhTu+WSaiB5G03bW06GR7T7EXj+LiivMehZpKv4456yoJKc3p/DhW1fJYGd2V5LZyWdVxNIBDtnK8tI9D8ggz5iXmTKsN83grkRQzXHVMMaUtclDdwx6l1zCN0qGrgSr7b/X2Fj0zO5/PYzKZiEQiOJ1Ooz1GJ8PZbBZZlo3nq6Iohu+Gfn1Go1FsNptxT4/H40aGtv6+4XCYoaEhY5vl5WXcbrdR0W2hhRYeHy1i28IPPQRB4ODBg1XkQMcXvvAF498dHR1Vf+vo6+vb0a24Ua9KJQYHB5tKF51OZ8P3bQZBEDhw4AB+v593332Xd999l+PHj+NyuXC73Tz77LNG3+2ePXvo6ekxBg9dXV24XC6mpqaYmppicHCQsbExo++21lQKysR9dHSU5eVlVldXCQaDhutjZ2cndrudra0toxJgt5dzS+PJBH+Ue4OsWh+0LiLyefdHsGJGckhks1nDwEPfXpIkozJrtVqrKpuiKOJ0Oslms1Wv69vncjmjt7Yy67ZYLNYNyARBMPprS0qJV2f/rOHn3qMFsZrMdDkaE9t4NF7ntLwbcrudqsDlcj2R1LazsxO3212lJKjMRwSYnp7GbrcbZijLy8vYbLaq/OVGyBVyLOUWWMussZ5dJyeXibYn4sdUfPzq2U4V2x9kXFi7woHACH6rZ3vC+ATVW0EQjKxbVVORBAkNjT5PLzQojK5nNmqI7eNVaTVNRRDEitig5lAUhfn7C9yfeWDIPneEUJ7kCbT58bf5Cfj9OFxPV1Ysl2RisQSxaJRYJEYsGq+KCHscXL9yg49+/KW63GurzcqxE0e59M5lY5kuARZUAVvYQa67vrc1357BvOhr+F76vSRQ9DGU7mPBvVK3TtacY9o7x4H46I5mUrXV+zbFy4upCa447xE1NZaJR0wJ/spxhVPZgwRVX5X78U73uGay5NpJxkZxbE7sTJT2sa8wwKxpmTnrGiVheyfgjJDjsnSX2+J9RpRexs2jxj4VRTGUPlBPdHW3dI/HQ6lUIpPJVJlIAUYGrT4BmEqlUFXV8NEolUqkUin6+vqM9wmHw3g8HmM/4XAYVVUN6XI+n2dzc5Njx461XMlbaOF9oEVsW2jhBxRdXV2cO3eOt99+m3fffZcjR47Q2dmJxWLhxIkTzM7OMj8/Tzqdruq71U1yZmZmmJubo6Ojg3379jE3N9fQVArKlb2hoSE2NzcJh8Pk83na29sNx9p4vOwGLEkSiUQCQRB4q3ibpWJj6eFHHRN04iOTyRjVVp0E6vupJKl6BbZygCwIAg6Ho+51fTu9V9dmsxmu1frsfG2PbU9vDwIClzZv4jQ5cLqrB9RmzcyY0EfGnmaPZwihJmJDUWREQSIQCDQc6O2Ue9pMVTA8PPxEUltBEDh79iyXL1/mW9/6Fk6nk4mJCc6fP2+sYzKZmJqaIp1OIwgCfr+/Kh+2Gd6+/DaLbfXOmYpFwZR7fGLb7vI/9jY/KPja/Jv89o0/oN0e4MdHP84zXcdwmJvLRR+7evsw61Ynt6Ig0uVs3GKxmd1kvO3gow2hXHktl3qbQwMEDWqqbs0Qj8UJbYQpFWUGBwebTu7o1TGH047DWXaWf1K34mYoFcs92NlMjmwma+R2AnjcXjxuL8VikcXFxccmt/lcnlvXJzlxZqLute7eLvoH+1hefERA9fuOLWon356tq9qWPEVkWwlTvvFvSP8c+zPdZExZwvZ6BcaWLcaSc43BTO+Ox1878WbHxtnMUe7Y5pizNp48K4hF3nbe5FBumKFiD5Io1ZHRZiS3VpZcW8WtXReqZcpmxcRBZQ/j2gj3TStMS4tNK8w68kKRO/Z5ZrVl9mlDjBR7ERGMCq6iKFVZtlAmmGazucrdXzdBVFUVp9NJPp83Kq+aVq7664kJUI740c0YoWw8lU6njdYjTdNYX1+nvb3dmEheWVlBFMWn5sXRQgsfVgjak+iDWmjhQ4D5+Xlu3LjBj//4jzddR88QfZKA9KeFUqnEpUuXWF1dZWRkhNHR0SrHxdu3b+NwONi/f39VNVbTNFZXV1lYWMDlcjE4OMjy8rLRf1xrKqUjHo+ztraGyWSis7OTTCZDPB43SLUsy1zcvMUfhl9veLxHXKP8hOdFQ+6lRwLpkQ2qqmK1Wo3KoaZpRl5fLbmtfF13tayUnUmSxKc+9anvuTv2DxO+/q2vM981W7fcvunEHtqds3Il/H4/n/zkJ5/GoX3f4VfP/zpziSXjbwGBU52H+cl9n6bXtX2P/45Vt0qCq5XzagVBQEDgN6/9S/LKI6WEJEj8+MiPsd9f3dNvEswPSW0zMvLw5V0Q2nQqw9ryKplMY6m8yVzuz3e5nLhcLuxOe51b8fuCppHL5kmn02TSWTLpNMUdZPG62/qDBw+MXNPHxalnT9LTV6/iKJVKvPH6d6oitHRSl+vIkOusr9qaE1bcS41NoCrJoyIo3AjcI2Nu8FlrMB7fS1th5wmj2vu7IAioqsqKeZObjtltpb99xQ6OZPdiQmpIUptFOOnrNTLZq3Ut1icq9Sxz/fsCyBVzLFlDzFqXyQg7y8cBJE1kROnjqGkfTuzGc8Xj8RhGg6lUCp/Ph8VSllxvbW1ht9ux2+2G0R+UVVh6283q6ip79uzB6XSiaRozMzP4fD6DpC4vLxOPxzl16hSiKJJIJLh9+zanTp2ira0NVVX5zne+Q29vb12rUwsttPB4aFVsW2ihCRrZ49eiUf/edxtms5nnnnuOe/fuMTk5SSqV4vDhw4ZZld53e/PmTfbt22f0BQmCYFRnddfkoaEhw/U4n8/T09NT19Pm8/mw2+1G361eeTFmq5UUfxx5s+GxBiQPPxF8GZfFgSRJZDKZKmfjfL48GNfNOux2e7nK8TA6SJcS6wMe/TzsdjuFQqEu69blcrVI7VOGIAtlE5maVkfFsr08sIUyGb20eYtLm7c41LaXz418jEPBsabr7rp6W5F1iwCdjk4WU+XYn4AtwOeHf4wuZwPH621ILZrOZ7cnn/lcnpWlVeKxeNVym92Gy+3C7XbidLux2Z48c7MRVEUhk86QSmXIpNIPM0QfP4ZqJ+n9Trh59RZtwQDWmvMzm81MnDrKO+cfeQzolUprxE4umAWppmrrLSBbZUyF+qFZZT6spEmMx/dyre0Ocm0erQBT3gdMRMZxKNs761ZWbXUCCdBX6sSdcnLZeZesVN9KArBiCZGUMpzKHMSp2uvkxJIkNZQqN5Ml1y6rJMt6NV1/FqmqioTEPm2QfcVBFoR17kpzpKTt/QcUQWXGtMR9lhnR+tkjd9NuDRjvk8/nEUXRuCYqs2z1SdVwOIwgCKytrREMBkkkElitVqPqm0wmkWXZ6JPVY8l6e3uN419fX8fhcBjS5VAoRKFQ2LadqYUWWtgdWsS2hRZ+CKD3Efv9ft577z3ee+89JiYmcLlchovsjRs3mJycZHh4mO7ubuNh7vV6mZiYYHp6mvv379PT08Pg4CBLS0uUSqU6UykAq9XK4OAgc3NzqKpKOp0u97o6bPyH0J+RU+vzKSVEfsz+HNl4GsVaMsw69N5ct9uN2+0mn8+TyWQMQw6z2WyE0esOx5qmVWXT6scEGOT2/YTXt9AcoiAiFSUUW7V0U7E+fp/ihxmTkVkmI7OM+gb53MjHONlZP0H2WL23FeT2WPAoi6lFDrcd4lODn8AiVZO3bSXFGmUuu0OVVi7JrK2uE9oMISDgcrseEVmXC5P56Q4vSsUS6VSaVCpNJpVuWhn+bqNYLHLj6i3OnK13sm3vbGfPyBDzDxaqlkuqhC1iJ99Rfw75jiyu5catC5VE0KZYORgf5ZZ/qm7uQRFV7vhnmYgcxKRVt2/UivQqCXMlvKqLF9ITXHNMEzI3zpZNShnOu65zPLufTjlg7K+WnNb249a6JDcisfqEpL5e5QSlXtHVieJAqZPuXICII8UdaY6omGh4vDpUNGaFJWadS+wRejmqjeHXyj21lb20uVwOs9lsEN18Po+qqnR2dpJKpVhfX0fTNNrb243jj8ViOJ1Og+hGo1FUVTWky8VikUgkwr59+4xtlpeXaWtrMyadW2ihhSdHi9i20MIPEbq7uzl37hwXLlzgvffe48iRI3R0dGCxWDh58qTRV6v33eoDA4vFwqFDh1hcXGRlZQWv18vIyAgLCwtNTaUqzS8URSGRSPCljW+zXGicmfnXOl+ms+BHkiRkWaZUKlVVY1OpFG6325B9ZTIZcrkcpVLJcKXUCa4+k26xWOrIrSiKhqPyTr2tLTwZxKKpjtiqlhaxfRLcjy/ym1f/EwPubn5s5BzPdk8gCtXl8F1Xb4Wy7Hi87QAei5tBz0D9ujvJineo0mqqRjgcJp0q53oeOLgPh9P5dGXFQC6bqyKyhcL2/ZTfS2ysbbC0sMzAUL0R2sEjBwlthsmky9JjnUjathzkg9k65UPRm0cNOREL9UqTWlLoK3oYSQ3wwLNUt27OlGfKN8eh+JhRlN+u/7URLJqZM5lxpm2LzNjq3wOgJMpcdE6yPz/I3sJA3XWq+ybUktxGqKzMNqvW6ttWtqTIsowkSgzQRb/SyWpxkzumebZM8YbvY0CAeVaZV1fpUdsZlXoJ2oPGPkulkkE2NU0jm80azyebzcbW1ha5XI5IJIIkSTidTjKZDENDQ8Y2W1tbBAIBY6J1Y2MDQRDo7S33QafTaSKRCGfOnNn+WFtooYVd4en55rfQQgvfF3C73Zw7d46Ojg6uXbvG/fv3jcHU/v37OXLkCFtbW9y6dctwgITygHdoaIiDBw+STqdZXl42+ojm5+dJJh+5ZaZSKeLxOMFgELPZjM1mY14Kca1Q33sJcNo3zstdp+jq6jLkboIgYLFYyOVyqKpKqVQikUgYrzudTqP3Se/FzWQyFAoF4+9GLsdms9nI0S0Wv38Hwz+o0DQNqdGg26ShmR4vw/eHHcfyIwyXurGrO8tdl1Lr/PaNP+RXv/NP+fbSO8hqtcRUe/h/zSA8/D9N0xAF8clI7cM9NUMhX24H6OjsYHh0D109nTjdrjpSa5Vs/OlXG7uLN4KqqqSSKdZX15mdus/1yze4c+sui/NLRLei74vU/tIv/RK/9Vu/9cTb7xa3b0w2jAoymSSOn652ulVVFUmVsEYbSIUFyLdnd/076sl20pkNNnwtao2z4FrZMSKpWcZs+XAE9ueHOJ0ex9QsSkiAKfsil5x3DMfiWmlxrSRZJ7n6a3puOVRXa2uNpmoruvrfuqpIQCBQ8PBy4QSfVJ6jT9s5rx5gTQxz3nWD1+TvsKxukM1lDYNCwGh1qZwsLRQKRhrB5uYmCwsLiKKI31/ub9YnZ7u7u43z2djYoKenxzje5eVlrFbrjskLLbTQwu7QIrYttPBDCLPZzNmzZxkfH+f+/fvcuHHDkG/19PRw5swZZFnmxo0bJBLVsq1AIMDExARms5n5+XmCwSAul4vl5WXC4TClUom1tTUcDofhnrye2+I/L/x5w2MJih5eEA4RjUYRBKFqYNDW1kZvb68xKy7LMrFYjGw2a1RkvV6v0VfrdDoRRZFisWgYiujV20roWbctb7wPBlKx8QBXMcsNP/NaueGHBZ1qgNOFA/xo9iyfzJ3mSGGYdsWHoDX/HDazW/zHyVf5lTd/na/Nv0lerpb1NyO32znSbu9AW7XmtudjtVnrekkbYXF1gU9+6hNNX5eLJWKROMuLy9ybnOL65RtM351hdXmNRDzxRPE732vIJZnrl280fC3QFmB0X312uj3sKPer1yDvzaFaGvcL17m6I7A3OYS72Ni4bcm5RsgaqaqCNtvvduiS23ghdRy30jyCadMc5bzrmtHr2ihabbv30R3y9Wu50kRK31+laz40J7oWi4V2/LyknOCV9EkGle4dru4y1rUtvl56i69Lb7PlTBq/t2w2W5Vlm8vljCzb9vZ2uru7DXK+vLxs5NTabDbj+RaNRikWi0bEjyzLhvFUywuihRaeDlrEtoUWfkghCALj4+M8//zzRCIR3nvvPTKZshzO6/Xy3HPP4XK5DGfnqv4tm42jR4/S2dnJysqK4YAcCoWYn5+v6isqKEV+9/6rFNR6V1GraOaX9/0UnYF2crkc6+vrpNNpI0dwfX0dVVXxer309fUZA4BsNkskEiGdTiOKIl6v16jAulwufD4fNpvNILd6bm0ldFOrJ8WlS5e4cOHCtuu89tprzMzMPPF7/KCikUwSQLE2NpDaLu+yUCj8QBKZnaBPukCZfPgUFwdLQ7ySO86PZz7C2dwh9mxTzY3mE/zhva/yy2/8Y748+zrp0qN+zNrqraZpTSu6O/XTPnr56U06dHV1VfW457N5wptbzN9f4PaNSW5cu8WD2QdsrofIpDM/NBNQ4dAWc/fnG762f3wfHu+jST1N05AUE9Z4g3uUCLm2TNNKa21cmUk0MZ4Yw6I0jgqacj8gJaWrqqSNUEuaa+FS7XwkNUFvsb3pOhkpz3nXNVZM1S0pte9bKU2urNbqx6HfEyqNApsR3UoPiFKphCiKxvspioJXdfGicIIf5xXGtAHEbSaWdCSkNOela/y37NeYzM+SyWVwu93GsehZtjrRLZVKqKpKe3s7sViMO3fuEIvF6Orqqkop8Hq9eL1e429ZlhkZqZ/0aKGFFp4MrR7bFlr4IUdPT09d3q3ed3vq1Cmmp6eZm5sjk8kwMjJiDAhEUWR0dBSPx8P9+/exWCz4fD4SiUTVwOIPF77Oai7c8L3/xtBn6XeXTTMcDgfr6+sIgkA2mzVm3dfX1+no6MBut+PxeHA4HIRCIRRFIZ/Pk81mDXlxPl+O83C5XDgcDmOZLhMrFouG2cd3o0J47ty5uvihDwMaSZGhnGX7uMhms7z22mtYrVZ++83/wnpiq+p1h8XG7/+9f05bR6BquaqoXD5/7bHf7/1Cv65q40xqq1F69mUjWDDRr3TQr3SgoREX06xLEdZNUbbEBJrwaD+pUoYvzX6D1+b/inMDZ/n0npfwWcsESUOj/P+NiWE+n+f3/8/f5ztvlvOLX37lZX7ub/2NMunUTaK2IbRf+eOv8E9+/Td4cP8BDoeDoxNH+fKf/DFOp5Pf///9Pr/1L/8VD+4/IBAI8LnPf45/9du/haqq2M0O/sN//Pc899xZ0ql03cTFL/3SLzE8PIwoinzzm9/EZDLx8z//83zsYx/jX/yLf8Ebb7xBIBDgV3/1V3n22WeN7ebm5vid3/kdbt68ic1m4/Tp0/zKr/yKMSGWy+X4zd/8Tb7zne/gcDj4qZ/6qabn9kHh7q17dHS243K7qpaLosjx08c4/+0LVdeOPeyg4M/VfQ15fxbHlhNRluqutdpMWFVVsWDmQHyUW4GpqusHQBVVJr0zHI+MYxWsRqzadhX+Zq+ZkDie3Y9PcXPXNkcjjqgIKledU8TyKQ7mhxFrTq7y3lxpBFVrKqX34+rHWuuIX0l+9c9Fj4vT/y6VSkZMkAcnJ4oHGC31seQKMcU8Mtvfs+Jaijfly9jdVk6ZD3NEc4Kskcvl6OzsNN4nkUjgdrtpb2/H7/cb2chbW1v4fD4kSSIej3P48GFjm6WlJSO5oIUWWng6+PCNyFpo4UMIj8fDK6+8wsWLF7l27Rp79+41BpYHDhzA4/Fw584dstks+/fvr6q2dHR04HQ6uXv3LvF43OhvXV5eZs4a4p3IzYbv+VL7CZ4Jlh/isiwTCoWwWCzs2bOHUqlEJBIxZNChUAifz4fH4zGqw+FwGFmWcTgcFAoFo3orCAKpVMqI8rHb7VitVlKplDGQKZVKSJKEy+VqeGxPC7WGWh8WCLLYMPJHfUJn5Gw2WyaBeZXr9yfrXp9bXsDXXmMEJkI2l6VY0X/53aj8NSK2jeJLdr0/BPyqG7/q5mBpiCIym1KUNVOEDSlCTiyfX04u8Odzf8U3F97i5f4zfHb4owRtzbNKk8kkn3jlU9y6cctY9mdf/XP+6x/8N77xl1/D5XKViUQTUry+vs7P/PTP8k//j3/Kj33uR0mn0ly48DaapvHv/+1/4Nf+3q/xT/73f8K5cx9lY32TC29d4N7kFNmHbsWRrSiJeHN32m984xv89E//NP/xP/5Hvv3tbxuE9MUXX+Rnf/Zn+aM/+iN+/dd/na985SvYbDZSqRS//Mu/zGc/+1l+5Vd+hUKhwO/+7u/yD//hP+S3f/u3Afid3/kdrl+/zj/7Z/8Mv9/Pv//3/57p6envaoyKoihcu3SDj3z0bN3EmtfnZd/BMe5NTgHl68Ukm7HEbRT9NbE6ImQDGVwhj1HVhEeks3KZsf+Sm9HkILPehbrjKpiK3PM94HBsH6IgNp2g2alqC+VrdqTQh1d2ccV5j6LYOAN4zrZKwpTmVG4cm2Yxjl/ff+U51ZpDAYYsWV+vkvyqqlo2jaqQJetZxHoFV1VVVFU17tP688FrdnNG6uSYto8bhSmmpUVKtbFJNciJBc4XrnC5OMl+dYh+qd1oxcnlchQKBaOXVjdI9Hg8ZdfsGzdwOp2YTCbDHTkej5NKpTh27Ni279tCCy08HlpS5BZa+JDAYrHw/PPPc/DgQWZnZ6v6bnt7ezlz5ozxEK40ioJytVXP8TObzaiqynoxwh+t/GXD9xpwdPFTg58EyoOLjY0NNE1jYGAAURSxWq309PSwb98+Iys3Ho+zurpKMplE0zQ6Ojowm83kcjm8Xi/BYBCbzYaiKGWzmVTKkHqKoojb7UaSJCRJwmKxoKpqlTlWMywvL/P666/z5S9/ma9+9au8+eabxucCMDU1xZ/92Z/x1a9+latXr1YNBGulyK+++ir379/n/PnzfPnLX+ZrX/say8vLu/yGvv+hy2sFhIZV2yep2FZivKcxAbmz2NiUzOGybytz/qB6exvt72mRar2ae+Zhb+4nsqeqenNLaonLG7cJZyNNj00QBP7h3/9/V5FaHVcuX+GnfulnuBmepCA3N2XaWN9AlmU+9+M/xtDQEIcOH+IX/ue/g0ky8U//yW/wc3/z53jphZfIJHO4nR4+9ckfeSxZ8ejoKD/3cz9Hf38/P/MzP2MoQn70R3+U/v5+/ubf/JskEgnu378PwJe//GXGxsb4hV/4BQYHBxkbG+Pv//2/z7Vr11haWjIq/7/0S7/EyZMnGRkZ4R/8g3/wPZG5x6IxZqfuN3xt7/5R/IFHExKqquIIOxvGCecDOWShOtqm0oypEbpzHXRnOhq+FrcmmXMvVZHFSmKoQyfOOyGo+HgxdRy/7G66TsSU4E3nFaJS9SRH5TFUVlz1+7tOugVBQFEUFEUxKs2yLKMoipGBrm8ry3KVLFmWZaNvF8r3r8ooOAtm9mb7+Jz8Es9KR3Gw80RlTstzXZjiG653eStzlYyaI5lMYjabjcprKpVClmV6eno4cOAAPT09ZDLl30YoFDL6cJ1Op0F0W2ihhaeDVsW2hRY+RBAEgUOHDuH3+7l48aKRd+t0Oo2+2xs3bnD79m0j7xZgdXWVVCrF3r17cbvdRJJR/sO1324o47JLVv7u6P+AWTShaeVokGKxyODgYF0eriiKBAIBfD4fi4uLpNNpYrEY8Xgch8OB1+sllUoRi8Xwer34/X7cbjfZbJZMJkM2myWXy2G327FYLLhcLtLpNLIsY7fbdzTkyOVyRixSX18fpVKJra0tY9AYDoex2+289NJLpNNp3n33XXw+37Y9UZOTkxw5coSJiQkWFhZ477338Hq920YPvfvuu3UmXtuhUbVGhxIsogTrKyimOTtisfFgtXZ/zfZfKa8ViyYUe03kj1XZMZpmO+zv2oMkiCha9Xu/N32Dn+Gv1a3vdDmIbcWb7m8nklU5oN8tIftu9oM2qubae528fOJ5nNZ6E5/K8/nS//XHTff79tcu8OrPf5XnuzcxS2ba7W30OLtot7chiuXfzJGjR3j5oy9z/OgJXnjhBU6fPs3Z585SKBTY2Njk4IGDFPI7Txw1Q2UVVZIkPB4Pw8PDxrJAoCw9j8ViANy/f59r165x7ty5un2trq4a7QgHDx40lns8HgYG6t2hPyhUfv7Td2fo7O7A6/PWrXP89DHe/Mvzj4yPiiYsCStFX83nKWkUgjnETafRN6r/Lmujfyoxkhoga86RsKTqXlt1buIqOenMB6tieGqrt9vtvxJ2zcrzmWPctj1gwbrWcJ28WOQtxw2OFvayRy7H3NTKiKG+h1YnsQB2u904Ht0NXxRFIzZOP049c1YnurqfA5QzZPXJT/1vAK/DQ0Dys58hrqfuct++SlrYPie5hMx72Rtcyd5msNTFs76Jqixbh8NhOCqbTOVnodvt5ubNmywtLRmy5A+boV4LLXzQaBHbFlr4EKK3t5dXXnnF6Ls9evQo7e3tWK1WTp06xdTUFA8ePCCdTtPV1cXi4iIdHR243W40TeP35v+crVJjIvaTHedoM5cHc/F4nHQ6TW9vr/GQbwRRFBkaGmJ9fZ1IJGLIjzOZjNEzm0gk0DQNh8OBx+PB5XIRiUSQZZlMJkMmk8FqtWK328nlcuTz+R3No/L5PJqm0dfXZ8y26/16UJa0TUxMlPuzPB66u7sJhULbEtv+/n5jgH748GE2NzeZnZ3lxIkTTbdJJBLGAH43kCSpaSWqFMiiFmpeU8Cy6WpIOJtJa3ca0EoFiVr6rEkamqQhKE82WLObbYy09zMTWqxa/ubkpYbrO9zNr6ndYLtzfBzSu5vP631DFDh45ADje/c3PQYdpVKpTnVRiUIq/9BwCmL5OJvZEJORe5gEE0FLAI/mwpq38uu//uvcvnWbS5cu8Yd/8If81r/8Lf71v/7XT+V0aied9Fiv2vPRP9dcLsfZs2f5u3/379btq62tjZWVladyXDthO9l5rQHStUs3ePHcR+qqny63i4OHD3D7xqSxrmPLVU9sgXxbFmvYDip15LYZREQOxvdyrW2SglRflZ/xzmNXbHhKLkPtoFc2K/tZK/t4d3q/I7lRfIqLW/ZZVKHBZyNo3LDNECulOJQZRkKqqhZXktpasld5rejVWqvVarTFyHLZjV2SJIO81sYA6VXfymdCLpfDbDYb+y8VSuwp9XDaf5QF1rhSnCSqNf8dAcgoPLCsMl9Y53BkjFO2w6TT6aos21AohN/v59ChcjrAzMwMmqaRz+eRZflD6dPQQgsfFFpS5BZa+JDC6/Vy7tw52tvbuXr1KnNzc8YA5+DBgxw6dIjNzU1u376NxWKhp6cHgK8vv8W7ocZ9tc/YD9JTKFdf19bWiEajBINBwwVyOwiCQHd3Nx0dHWQyGVwuF93d3ZjNZvL5cv9ZMpk0CK4oigSDQex2O6IoYrFYKBaLJJNJoxKxm8+go6OD119/nXfeeYcHDx5UuSt7vd6qQandbt9R3tzW1lb393Yk43Gx00BTddQPeoWc2LSK2mx/O31+TSN/mjgj7xYHu+vlyKFEhGyuPiPU4Xpy1+udsJ3EubYP8YMgtTIKG2KU26Y5bgXmOfzK0YaktpHU2mw20zXc3XTfgT3Bht+vrMlsFELMFOe4Ld7jgXuJ9jNdfOEXvsh/+r3/hNls5vLly3R3d3P16tX3f5KPgbGxMebn5+nq6qKvr6/qf3a7nd7eXkwmE3fv3jW2SSaTO7YCVFYsdyNd3y5WqRbJRJKpO9MNXxveu4dgx6P8WSlvwpysd8jWJI1CW/nar+w11Y+lYfasIGDRzByM7W3oAKwJGnd9sxTFR/c6vR9V73fV7ws79ttWvD5Q7OL59DHsavNIqEXzOhdcN8lLReM8dDJd6WasO95X9s8qimKYQZnNZuNYdcmxLjHW19UJrt5bq2enQ5kgq6paNeFqqH/MFsbMQ3yqdJZns4fpkhrnBFdCReVmZor/FPkSF+13yNrLn62uKtKfn36/H1EUcblc3L9/n9dff5319fUd999CCy3sDi1i20ILH2LofbcHDhxgZmaGmzdvGjPnfX199PT0GHKwbDbLTGKRP5hpnFc76u7nFdcJJEnC6XSSy+XQNI1MJmOQ0Z0gCAKdnZ10d3cTi8XIZDL09PQwNDRkSHlzuRyhUMiQxHq9XpxOp2E0pRt6ADtXNkSRF198kRdeeMFwf/7GN75BOp02jqcWHwSJeVpyNM2sgrn++MRsc0l2I2K7m3NsFvmjvs8+20M9exsuXwtt1i1zuN5fxfb7CTkKLEmbXDVP803rJV61v8m3bdfwDPn5ey/+PMO+/rptml03yWKKA1840vS9jv/06R2PZ+7WA776n77CjZmb3Ere4Y8u/zGxeAzfaID/8W//DP/9v/93vvSlL7G8vMz09DRf+tKXmu7rV37lV/jjP24ujd4NPv/5z5NMJvlH/+gfce/ePVZWVrh48SK/8Ru/gaIoOBwOPvOZz/A7v/M7xkTdb/zGb+z426qcwNhuMuNJcX/6AdFItOFrE6eOVfWI2sONze7ywazhdFxpuFT5Xx2VFWW37GQssafhPotSibu++6hUy48rybNeHW72GTaqXvtVDy+mjtNeam5sljCledN1lU0xUhfto+9Pfw6ZzWZDyqtH+VSaQeXzeSO3XHfP149NEATy+TyZTKauMprL5arIcKFQQFVVw3BQVVXyuTxj9iG+6P4RfsL1CbrVnQkuwIopxL9d+a/83sofc3PzLharBb+//HnEYjEKhQKHDx/m7Nmz2Gw23nrrLd5++20jjq+FFlp4crT0Dy208CGHIAgcPnzY6Lu9ePEiExMT5PN51tbW6OvrI5FIcGPqNv85/TqyVk9c3GYn/+uxn8MjOpmdnSWdTmM2m+np6SESibC6usrm5iY+nw+/31/Xa1uLYDCIJEmsrq6iKApdXV20t7fT1tZGKBQik8kQj8dJJpM4nU6japtKpYyeKkmSdiXxEgSBYDBIMBjk4MGDfO1rX2N1dfWJP89IJGLI0ACi0WiVvPn9YruBeqNqLYDQhNhut6+dKsPNK7bV18fjkvaxziHMkomSUl35nV6eZ3RwqGqZ3WE3nFMfB+93IqFSptns9W23RyMpZAmLccJSnJAYJy1WV6StkoW/Nf4TvNx/puE+tjuHP3vwF4ye20c6keHa772HnHvoFuuw8OzfeZ7hF3Z2CbY57cxcneZb/+V1cuk8bT1tfOF//SKDr5Rl9l/kp3n1D1/l3/ybf4PX5+Xll15uuq/V1dXH6iFvhPb2dv7dv/t3/O7v/i6/+qu/SrFYpKurizNnzhhVvl/8xV8kl8vxa7/2azgcDr74xS9+z8mCLkl+6WMvYjJV/2YcDjuHjo1z/fINAExZE+a0hZKrWj6smTQKgRy2iMPYZyWp3M4puSMfJJ3JsuLcqDu2pCXNfc8iY8lq8ltLbhv12zYitfo6Fsw8lzvCPXWeGetSw8+lKJS4YLvBgfwQo3I/FvOjarXubqyTzkojKf3foihWkVH9ePT2ErfbbXwe2WzWkCyn02lMJhOlUqkqZiebzWIymYyKbi6XQ1VVI7u2WwjybPoQql/krmmOmcJCw/OqxGx2gVkW6HF04Er6OejZW5dle/LkSTY2NpiamuKb3/wm4+PjjI2N7cq8q4UWWqiHoH03nTBaaKGF72skEgkuXLhAoVAwZsYPHz6Mqqn82hu/yd30fN02AgL/r4m/zUTwAKqqMjs7SzabRdM0uru76erqIp/Ps7W1RSQSMQYLfr8fp9O57QA9lUqxtLSE3W6nq6vL6IVKpVKEQiFDhgbl6B1RFMnlcgiCgNvtxu128/zzzzfdfyQSYXNzk66uLqxWK9FolIsXL3L27FmWl5cpFotV21+/fp14PM7LL5cH8a+99hpjY2OMjY0BZVdkq9XK4cOHaW9vZ3FxkXv37vHxj398Wzn266+/vuseW33wWHvrFgSBUlcepbu+p85yz4mYryeiO1VitoOGRmTfJppUfRzWhA3PavNqzW4eOb/x9X/H7bVqJ+T/5Sd+jn/wN36pbt13vnWRbLpepvw4eBJi/Dh9yQoqUTFJSIyzJcYJSwkKQuOIFIBBdw//t+M/R6+rs+n7N8O1udv8wfwfIZg0FE1jKRTFtJLBIol0HujG4rCUnWFNds52PUO6lKGoNndH3i0sqgVXyY6z5MCh2BF/AARhuoP6gwcPDDL1QWF4dA+HJw41fO3i25fYWCsrEmRnieRw/b1AKIn4ptsQtEeV2sqK6naVZg2NSf80MWvjlojRxBA9ucZOyrV5spXLmxFdnZQJgsC6aYsrtrvIQnMlR4/czqniOGZMhkS4svdVlmXD8Vg/T72fVq/UQpkQ5/N5w8UfygZRuVwOh8OByWSiUChUuenbbDZMJhOxWAyfz2eQ3VAoZETPQfnZGI/H2bNnDyaTiY18mDfC77JsCTWNzKpFl7WdgXg7n9z/UQb6q03NZFlmdnaWxcVFPB4PJ06coL29fVf7baGFFh6hVbFtoYUWDHi9Xj72sY/x+uuvk81mjQfrl+//ZUNSC/DX9pxjInjACJzPZrMcPnyYeDzO0tIS+XyewcFB+vv76enpIRqNEg6HWVpawmIpS7T0APtauN1uhoaGjJ7d7u5uTCaTMRu/ubmJzWbDZrORTqcNqZougd7OsArKMretrS1mZ2eNGfyjR4/S3d39xDE94+PjLC8vc+3aNex2O88888yOPcaVg8fdoqFMulHFVgFyjfNKmxnh6H83yrmshFiUUOzVlVXFIr/viJXx7tE6Yju7stBwXbvTTia1vYPpdxsFSg+rsQnCYpyImEQVtpfF6/jE4PP8zIHPYZHqVQ3bEVpFUbh1/TbvrF1CditYBQlF03C4bFgPufDbbJgrCIckCIgiSIKAQ7FhL9nJmHPkpXzT99gORbFI1Fokak0gIOCQbThlB86SA6tqeWKn7B9kVJovzd2fp6unk/bOerJy9MRRoltvlo2PMiZMGTOys5poa2aVgj+PLVqW2upEczdmUgIC++OjXG+7Q95U7xHwwLOIU7bjLdXH9uhS4crqbaPz1NetPfcepZ0X0se57LhDSmr8O10zhfkr8RJncodxqNYq52K90qr31equyDrRrTSHyufzWCwWg9QqikIul8NisRhKHlEUyWazhvmU4fJe0durZ6Hr8mFN00ilUrjdbkMFZEoLnCkd4kcHurmYvsm19F2UBikBldgohNmwh1nY3OST5pd4tuMEZvHh/kwmDhw4QG9vL3fv3uWNN95gcHCQo0ePfmjz0lto4UnQqti20EILVVhdXeXtt98mGAwSDodJOAv82+UvozYgRgc8e/jfTv8ikiCysbHB2toaY2NjdHSUZ/+3traYmZnBZrMxMjJS1U+WyWQIh8PE43EAI86nkZNxLpdjYWEBSZIMkxh9+cbGBpIkEQwGiUajFAoFg1i1tbXx8Y9//IP4mBri1Vdf5ezZs/T29j7Wdn/xF39BJFKdS9qMxIii2JA4amgUD2fqemyFtIRlpjHB385dWR8EbkdS0/2JeidXRaBtqgNNffJHy4PwMv/wz6vdd/cNDHPhd16tW3fm9n0W73/3s4INYxo0MkKeLSnBphAjLMVJiI8vf3WaHfzPR36K012Ne2O3I7XZTJZL71whFovxrv8GOVMeq8lEUVFIFYskCwV63W7Moojp4QDebrLzXPcZMsUcRbVIIO8jmA8gI5Mx58iYsmRMOWTx/ZmBAUiqCadsxyXbccoOTNr3x5z6B1WxrSS0lUMsu93Oy594sWErxtrKOpffvQJAyV0kNRSvW0csinin2xCoN7naTW9wxpTleuAuqlhPhM2KiYnIOLZtjJ8qTaVq48Eq3ZX1ZfpxKYqCjMxN131WTaGm+5c0iePZfeyR+oxtK9VD+jK9P1YQBGw2G5Ikkc1mEQTBkCVrmmZ4Jfh8PmNZLBZD0zTa29uRJAlZlo3qbKUEW1VVent7DSIcCoXo6+vD4XCgqioLCwv4fD4jEm925QE3ilPMWVYp7FIB4bN4+HjvC7zY9QxW6ZEUW9M0VldXmZ4uG48dPnyY4eHhljy5hRZ2ge+Pp0sLLbTwfYF8Ps+VK1fo6OhgYmKC6aX7/Oo7/7whqXVLDj4uHScejSFJEmtra/T39xukFsq9sjabjbt37zI1NcXIyAgOh8MYgLhcLiM7dmtri3g8js1mIxAI4PF4jAe53W5neHiY+fl5lpeX6e3txWKxYLfb6enpYX19nVAohKIouN1urFYryWTyu5o5+n6g9wRXksjdOJJWwaw1MY5qPBjaqYe2smrbbD2xUZ+tpKGZVITS41WgK7GnrReHxUa2+Kh6uLC+YlSoKvFBOiM3gopKTEgTkZJsSlHCYpyc+P6kvPv8e/hfJv4GQXtjCfd210FoI8SV965RLBbZssTImvKIFetbpHLlNlUs4rFaETWt6nUdUVscq2LBXXLhLbnxltxoaBTEYpnkmrNkTfldyy4roYgySUuK5MNcVatixVVy4JDtOBTbD4RseSfUktlG134ul+P29UmOn56oe62nr5u+gV5WllYxpcxIOVOdGkK1qBT9BewJRxW53G0sj1N2sD8xzF3//brXSpLMXf8sRyMHkZp8H5X7r6zeVsYD6cejL9fvaTaTjTOFQ8woS0xa7tOogK8ICpedd0nKWQ7LoxQL5d+V3msLGDJim81mSI/1c68ktXqPrNfrNY4nlUohy7JBagHS6TSaptHR0YEoiqTTaRKJBIIgsLa2ht1up1gsGs8bfT+KohhZy7IsU0oWONf9HL4OP+/Fb/BW5BJ56u8LbTY/Hssjk7DLkZtMxqc53X6MU8Gj2E1lAj8wMEB3dzdLS0vMzc2xtbXFgQMHdpUw0EILH2a0iG0LLbQAlAchV65cQdM0xsfHUTWNfzv7JdJqff+iiMA/OPN3sMdFFhYWEASBQCDAwMBA3boul4ujR49y7949ZmZmGBwcNCReUJYD6724iUSCcDjM2tpaldmUxWLBarUyMjLC/Pw8Kysr9PT0YLPZsFqt9Pb2srS0ZOzPZDLh8/nYUMIf3Af2lNGM3NbK/5oNXp+mcdRO76VDauKMLJtlLLL1iYmtKIoc6Brh6tIdY1mhVGQ5vM5gZ3U1/IN2Ri4hsyUmCEtxwmKCLTGxbb/g40BA4HOj5/jC3k8hibvvgdYxfXeGe3em0Lnmon0NoIq4mgQBURBIFgq4LRaKqoq1SeVn0xHGkrJgVS3G8dlUK7ailbaiHxWVrJQnY86SMWUbZqTuBgWpQEEqECGGoIk4K2TLFs38AyVbriSVO0mCAZYXV+ju7aa7t6vutSMTh9kKR8jn8thDTtKD9YZbufYMlpi16jPSSeVuZMnBQoCBdA9LrrW619LmLLPeefYlhuu+g9oe2sr/Vho7VVaSK92O9WXDuR7cJTtXnVMUm/SZT5sWiJLguLAPj8VtbFssFlFVtSriTTeQslqtxqRXsVikVCrhcrmq1D35fB6fz2dIlbPZLJlMps7QUNM0ent7yeVyBhkWBIFIJILL5SKRSOByuQzCrauOgsEgZsnMc64JHAsimR6ZK/lJ4qVyb3Obzc+/evEfN2wzaIbKZ2ULLbSwM1rEtoUWWgBgYWGBtbU1JiYmsFqt/Kebf8y1zbsN1/2ZAz/KkfZ9FL1FIpFIecb6YV+SPmiohG6oNDs7y/z8PPl8nq6urqqBuyAI+Hw+fD5fldlUJBLB6XQSCARwuVwMDw+zsLDA6uoq3d3dOBwOQ0YoiiKxWIxAIEBJKTHnXPlgPqwm+MIXvvC+tt+ucrtTBVdzNJEUN6nY6vveDo3cUCvRsGJLuc+WnHVXVaRmONQzWkVsAeZWlz5wYpsVCuX+2IeOxTEhRYMo0CeGoAm0qR72mHv44okfpb+jp/F623zXpWKJqxevsbH+KAIpaUoTf1gRFWt+V1ZJIifLpItF3FYrRVXF3uB7UQWNddcG/cleJOq/WxERl+LApZQ/85IgP5QsZ8mYcyhPQPg1QSVtzpI2Z8EOZtVkkFyHbMfU4Di+19hNdXY73Lx6k0DQX1WJBDBbzEycPMq7b13EnLQg5U0otpqqrVWh6C1gTVT3Xepqht2Q28F0LxlTlogtXvdayB7BVXLQl32Ug1z7O66NAKp0TtaX66Z+kiTVEd0uLci5/BnetdwiJjU2tAqbYpx3X+cjynECmtfota00ldKzbnUjKVEUkSSJfD6P1Wo1Pl9ZlkmlUtjtdsN3oVQqEY/HcTgcRpScLMskk0ncbjd2ux273Y6iKCSTSXw+H6lUyoius9lsFAoFLBYLsVisihxvbW1hlSy8MPQRPim8zNsbl/nLjbfwWFyPRWpbaKGFx0eL2LbQQgtkMhmuX79OT08PnZ2dXFy7xR9M/mnDdUfMPRxRhpBlmampKURR5NixY9y9e5cbN25w4MCBqixZHZIksW/fPhwOR5WpVKO+IZvNZuToxmIxwuEwy8vLmM1m/H4/AwMDrKyssLa2RldXF7FYDIvFQltbm0GIF5xr5MV6o5Tvd9SS252iZXQ0JLYKCPnmUuSdBsCVPXONIBUaP0IUi2Js+6RGUuPd9ZE0D1aXePn4s1XLbHYrkklCkZ+AVKGREDJG5M6WmKiL3Xm/MGsm2lUv7YqPDs1HQPHQ09XN8VPHsNoa9zNu910n4kkuvXOZTLq6j1ev1kK9ylMntolCAZfFAoKA0oSMFUWZDWeInkzXjpVTs2bCV/LgK3nQchp5sWD05+aeULZcEmXiliRxS5nw2GUbzoe9uXbF9j2t5j5udbYZCoUiN6/e4vRzp+pe6+jqYGh4kIW5RWwhB5mBeuKX78hgSVibfhY7kVsBgX2JEW6Y7pA11ZuFzbmXccoO/EXvtpNTlRLkyopuZRtDpSmTToglScKhSbyYP8510xSL1vooIoCcWOBbwkVOyAfoLrQhSZJBVvX+W0mSsNvthixZP3/d3VhVVRKJhKHi0e970WjU8GbQl4XDYSP+Td82lUrh9/sNVZFukJjJZHjw4AEWi4VisWhUVlVVZWtri87OToOA92Ta+KzyIr2D9YqmFlpo4emiRWxbaOFDDlVVuXjxImazmQMHDrCZifDr7/xuw0Fpp6ONv3/i55m/94ArV66gKApnzpwxKq3Xr1/n1q1bjI6OGjEJlRAEgYGBARwOBzMzM8zMzDA8PNywygvlAUpbWxttbW2G2ZT+P508r6+vI4oiHR0dmEwmOjo6WNpaYco0Rx+Nq2Hfb2gU3VNJbit7SxsNMjW0hlJkISc1HPw+TiV1u6qtoAgIilAX+aNYlSozmSchAb2+Tnx2N/Fcylh2f3Wx4boOp51UIr3jPhUUImKSsJggJJWjd4rC+zdHqoRTtdGu+sr/U3z4NKfxHQiCwIEj+9m7r3mO7HakdnlhmRtXb9VNFuTFAiFr2XxMaLAPi+4wq2mkSyXcFguKptHsa8mYc0RsMYL5wE6n++i4EbCrNuwFG8GCHwWV7EMDqrQ5S0l8MnOmnClPzpRnixiiJpZJbsmBUy7Llj9ovN/qbDOsr26wvLhC/2Bf3WvjRw8S3gyjJTRyBQm1JhtasSmU3EUsqeqJEVVVjVznnX53Jk3iYGwv19vuoog1k0IC3PPd53j0EDb50Xs0mmCr7auFR/coXQZc2WtbuUwtqRwtjREU/Fw3T6EKjVQEKpfNdxi0d3NGPGxsq/fa6p4NFosFWZbRNK0qv1zvh9V7aKEc3SPLMj09PcayeDxOsVikr6/P2D4ajVb10iqKQjabpauri87OThKJBMvLywiCwNzcHG632zgO3VRKN6caHR1lr39v0++jhRZaeDpoEdsWWviQY2Zmhq2tLU6fPo0gCfyjC/+GRKGeJJhEif/tI7/MWHAUJVNicXGxinzZbDbOnDnDnTt3mJ2dJZPJMDQ01LDiV2kqNT09zfDwsDHD3gxOpxOn00lfXx+RSIRwOGzIzzRNM+Rnoigy61pEUZ68ovLdhqZpyLJsOH3q/2tGbuvwBMZRTwMCAmJBQnHUmtyU/9aP+UkkyYIgcLB7lHfmrhvLHqw1IbYuR0Nim6fIlpQg9FBaHBWTDQfPTwpBA5/mol0pE9kOzY+jiausw+ng5DPH8Qce3yBKVVRu35xk/v5Cw9eX7OuGXLqRMZRZFBEot+ImCwVcDyWTKhpmqfEwIO3I4sSBq7T977IZJCQsmhdfyQslKAklMqYcWXOOrJTfdfxRLQpSiYI1QZQEFtVcNqCSbTjkx8/OrSRAtXha1dntcOv6bYLtbdgd1QZoJpOJidMTXHjjbexhB5m+VN22uY4M5lR9jFKtwdN2x+5Q7ByIjzDpn6kr88uiwqR3honoQSRN2lY1UhlXpihK1d+CIBiyZLPZbOxDbx+xWCyMqP34ix7eNt8g10Rls2hdJ61leV45jrlUvi/qpBYe9d9arVaKxSLpdBpRFCkUClUy4UwmQzabpa2tzZhQTafTJJNJOjo6DIOoTCZDLBajs7PTqBLrMuRgMGhUhWVZZs+ePUiSRDgcJhKJIAgCi4uLtLe3k8/n0TSNvr76CYwWWmjh6aNFbFto4UOMeDzO5OQkQ0NDBAIB/s3V/8rk1mzDdX9x4q8zHhwlFAqxuLjI3r17SSQSXLlyhX379hmy4kOHDuH1erl37x6ZTIb9+/c3jLdwuVyGhHl2drbOVKoZTCYTnZ2ddHR0sLi4SDQaNc4lm81S9Ks8UJbe3wfzPUCtNFgfHFaS28pe26qet6b9tc37E59GxRZAKtYTW8VajsERaHy8u8V4Tw2xXW38vTpdDjQ00kKOsBgnJJWJbFJ8uvm2kiYSVL1lEqv4aMePWZPq8jtrz7Wnr4djJ480/B3o2zRDLpvj0rtXiEViDV+XBZlV26MIlaq+9YplVkkiryjIqkqmVMIqyWRKWZxmBw6zmUaHkDHlcGfcmNX3P1SwYMGJE2RAhrxUKFdjpTwF6cmjdkpWhQQZkmSwyhbsih27bDUMsHaCTojgg6vO1sLoOZUVrl+5yXMvPFO3TlswwOi+EWan75PryKBaqgmq4pCRXUXM6eqJFP33ttue20DRx550H/Puej+CrDnHtHeOg4m9dddopdwYHvW7QnXUj/7elQZS+npms9lY11Ny8kJ+gmuuacJS42s9IiT4pvQ2J9T99Nu6jYkJWZYpFotGprkkSeRyOTRNw+FwGH21xWKReDyOy+UyFD+lUoloNIrb7TYch0ulEpubm7jdbkOWXCqVCIfDdb20kiTR1dWFJEm4XC5u3LhBT08PqVSKqakpoOzqn06nfyDyaN944w18Ph8TE2Xn7tdee42xsTHGxsa+x0fWQgu7Q4vYttDChxSKonDx4kUcDgd79+7l/PJl/mjqGw3XfbH/FH9t38dJpVLcvHmT3t5ejh07hqZp3Lp1i6mpKZLJJOPj40iSxMDAgPGQ1/tuXS5X3X4tFguHDx/m/v37zM/Pk8vl6O7u3lVFUZZl4vE4gUCAQCDAysoK6WyGd3LXjTtbqpShqJS+rw07dFOURoPqhnm1FT1tRtxGU0fkJ++vrXy/7fpsxUbOyCLlyB9Zani8u8Whmj7b1a1N8sUCNkv1YD7tLfAV+1vkhfcXu1MLm2Yp98aqPtpVL37VXVUVbHRelX9LksShY+MMDQ82fY/trvVwaIsr7141ZJeNsGoLVUlJG1VsoSxHzj+8nhKFAk6zmUubVzGJJgQeVnUbbGuTLRzc2oekfXAmTrKgkLCkiFuSxKxJSk/otlwJk2LCW/TgL3rwFt1Y1Mb3AL33s9Lh92mj1iSvkjSHN8PM319gz+hQ3Xb7x/exuR6iEM6R7a1XJOQ6sk2JbSW53em315fpJm3KErZH617bssVYktcYytZXHCvvDfrnJkmSIYeuzIWtJcD6pJ2+TJZlHJKdl5VT3GKWKWm+4bEWhCLvOG9xXCtxkBE0tazWqey/NZlMhqmU/v1qmkY0GsVsNldJi/UM287OTuMz29jYQBRF+vr6jM9uZWXFWKYf89bWFh0dHcZ5bGxsYLVaOXToEKIosry8zJ07d9A0jcuXL9PR0cFLL73U9Hu4dOkSxWKR559/vuk6322cO3duW2VDCy18v6F1tbbQwocUd+7cIZlM8uyzz7KZjfC/v/sfG67X5+7k//nM/0SxWOTatWu4XK6ybPnh4OnYsWP4/X4uX75MJpPh2LFj2O12AoEAzz77bFXfbWXGrQ5JkhgbG8PhcLC4uEg+n28qYa7ExkbZcCQYDGIymRgeHuat0Huk5EdVumg+xv/j7X9MwOLjF4/+HE5LtYPuzNQsayvr2Gw2Q4IG5RiIQqGA1Wqt6v/VNM1wf64knSaTyahIFItFY1Clz+yrqkqxWD1Y1yuyxWLRGJjpMr7KAV9lNakyN7KKCD+GcdSTEMztqq5SM2dkq4IoSztuvx3a3QE63AFCqfKAW1VV5tdXODA4UrWe2+V6KqTWozppV73laqzqw6XZtzUr0gf2jb4bl9vFyWdO4PHWG6np2I7Uzk7d5+7te9t+ZioqS/b16n02WddqMsHDa1BWVbKlUvl6VcvVUkkQMDf4zeXIccc1zf7o6Adq3OQpOvHgpJ8uclKeqDVBzJogYUk9sWw5aU6xbF4FJzhLdvxFL/6CF2/RjSRIT7U6u12vaeW/G73PnVt3ae9qx+Wqln1LksTx0xN856/Ok+vIopmrPwfZWaLkKGLOVlenK39vO/XnQ7mlYCy5h6ypHOVUiwXXCi7ZSbD4SFGjaZpBYCsJrn7vgkeVWZ1gVi7T76uaphn3RoulLK0+Ko/hztu55phu7LQtwDXhHltanIn8WNmt+2GGLZSlxVBWBWUyGUPVo6oq3d3dxiSG3kM7MDBgHP/W1haFQoHh4WHjXDY3N8nlcoyNjRn39M3NzYa9tMPDw1X78ng8fPzjHycWixEKPVJWPE3oz5sPAj8IVeYWWqhEi9i20MKHEOFwmKmpKfbu3YvVaeNX/+Kfky7VD2gsopl//Pyv4DDZuHz5Mqqq8vzzz9dJKgcHB/F4PLz99tu8++67HDt2jEAggN1uN/puZ2ZmSKfT7Nmzp6EBSX9/P3a7fVemUvl8nnA4bBhGAWSVHNeV+niiaD7GKc8RHBZ7lSGWpmkk42VjkfX1MrmtdHMuFArEYrE60lu5fSaTMXrF9PMwmUxGz2xlFQEwSHEj6JUORVGMwWij6kfl+8M2xlHZ5sZRT4KmxHYbZ2Rz5tGx6kR+txWxrJAnJMbp6A0SmnpUSXqwulhHbLscwV2exSOImkBA9TysxvoIKl5s7E6+Wola0q5pGkPDgxz6/7P3ZzFypGm6Jvba7vsWHr7EHkHGQgYZQSaZZJLMpaqSVae7OrsHfXRQmpkzOhAkXUi60UhXwkA3I2AECMJgAN0IgjSCMJJmRqVzqs/pzjrV1VXduVRmMZOZRUZwj2Aw9tX33d12XXj+P83dzCOCzMjdHoAgaW6bm5ub/+//fd/7XZjtOdg8tJWPquHu7bvY3dnruQ4hI+U7esk6GUcRxC7RWpblL1KQv0gPNU0whgHeQdyWPGVsBXcxUh20vXbSMGDg073wNbwYaqRgwEBZrKIollGUKo7C6zjUhSbqQhPb/n2wJouwEkRMiSCmhOHVnrst9xR/XVFXQrdgfRmBrOs67t6+i9d/fMP2+UWiYcycmcbdgwaaaaeobR3CurOwtQp38t3rWVJgcpgtTeJu30OorN1Q7XFoBa8Uz8Gve6m7ca+MEuB5DS15/lkjtdYIIFnP6/V21Mum9Th+psbwkXAXVabTAZywyeyh6CnjR8wVum2j0YCmabRfLcdxtDa2r6+PHrtaraJeryOVStHfmXK5jHK5jMHBQfrMr1QqyOfzGBoaollHlUoFe3t71AgRADKZTEctbavVwsHBAV555ZUOE8TjsrW1hUePHqFWq4HjOEQiEbz++uvgeZ5GdmOxGFZWVsBxHP7iL/4C6+vrePr0KarVKjVSvHDhQoc4LZfLWFxc7EijvnDhgq31FMFNRXb5ruEKWxeXHxiqquL27duIRCKYmJjAf/nZ/xPLhXXHdf/TV/8VTkdHcP/+fZTLZfz4xz/uafIUjUZx8+ZN3Lp1C5999hlmZmYwMjICjuNw/vx5hMNhPHnyBI1GA9PT0471hsc1ldrZ2elIKQOAP1Q/hWzao3YRJoR3Zn5qW16t1KDrOgKBAFiWRalUgmmatKeh3+8Hy7Ko1Wq0VssKy7IIBoOQZRn1eh0cx4Fl2Q7hSlw0yaCNmKeQCIUgCFQE67reUaNGBo9WQynHQekLGkcBLz74JgNlJ3r1su12ciWOrU7vw4CJMlNDliu3a2TZEhpsu3WHMOIBnjxfd3XXXmfrEzwIiX5UFOcBMACIJo84qY01Iugzgo69Wl8U8r4AgBd4XLg0j8Hh3m7ch4naSrmK23/8DLXq0Q7PJkxsdEVre6Uhk+NKHAf5i3tM/SJq67dMHmmmCdY0HfezE9yDX/Whr3V0HfxJwoJFTI0gqoSBGiCzyhcpy2UUxTJU7sVdrQ3GaG8vlfEMgKiLiMohxJQIokoIgvlc8B836vplKeSLWFl6hskZu2P25Mxp7O7tYUN7BpPvPLYWVKF5VfDNzuepdcLFGrk9TNx6DQ/OliexGHlsC/3rrI4H4SW8UpgFh+d15dbJPHIca1TWmoJMviu6rtN1DcPoWI9kw0iShAAr4M/06/gjs4gdzjnaWeUa+Ht8hNfNVzCgtc2a/H4/FavkfHieR6VSgcfjgaZpKBaLiEQi9HkvyzJyuRx1+CfLdnd3EYlEaLaRoihYX19HNBrF8PAwXba9vY1kMklF5NbWFniex+ho7zKEXjSbTXzyySeYm5vD0NAQVFVFLpfr+NwymQwEQcBbb71FlxmGgXPnztHfpYWFBdy+fRtvvvkmPc/3338f4+PjuHDhAnRdx71793Dr1q1DU6RdXL5LuMLWxeUHxsLCAlqtFi5duoTfr9/Cv3v6j47r/dn463jn1I+wvr6O3d1dXL169cgZZ4/Hg7feeguLi4t4/PgxKpUKzp49C47jMDo6eqy6W2Iq9fjxYywvL2N0dLRDwNZqNTqrTlK+9pUM7jWe2PYFAFf5CxAFeyRub3cP+XweXq8XkiQhGo2iVCqhVCohHG73bySCtFqtwjAMx/OVJAkMw9D0t2AwCMMwoKoqFbDNZpNGYHmehyRJkGUZqqpCkiQ6MCTi1pp+bBVOTqLoRY2jXqS+lnBYnS2rs2A0xjbg1kW74CBiXTW1L9rulJDlSsiyZag92u70DXW2nFnZdnZGTvniHcI2YHhp/9h+I4Kwpe3OSWOaJmJ9UVy6+gp8fl/P9Q4TtdubO7j7+cKx+/EWhQqqQqeQP0zYAu06W9kSZSvLcoewBQDFMCD1qLddiazBm2s7EH+dWAf0kiEi2Yoj2YrDhIk630BRKqMgllERazBfwvVa4RQc+HI48OUAEwiqfpq2HFT9L+y2/CJYJ3qePFxCMp1AKBzqWIdlWVx+9RIyd/fRSDpHbYMbkY5l3d/Zo8QtmTyLqmGcro1hJbhuPw7fwuPQCmZLU2DA0Mm87vdB2u9YzaKIuBQEgf6fpDOTKCp5bgqCQCc+OYPDpeYMot4gHgrPqPu3FRUa3jNvY1Idxnlhkk6G6rqOcrlMJ0GLxSIODg6oezIxhiJZO6IoYmBggD4jt7e3wfM8xsbG6LK1tTWwLIupqSn6npeWlgAAZ86coe9je3sbo6OjPQ3jDsPqpEzeCxHbBJ7ncfny5Y6skImJCfrvQCCAixcv4ve//z29pisrK4hEIpibm6Prvfrqq3j33XdRrVYd+8+7uHzXcIWti8sPiN3dXaytrWF2dhYZtYj/0+3/2nG98fAQ/jdX/sfIZrNYWlrCzMzMsWeeWZbFxYsXEY1G8fnnn6NWq+HixYvweDzo6+vD9evXad3t5OQk+vv7bfsgplJPnz7F+vo6Wq0WrWXa3t6Gx+OhM+2maeL35Y8cz2WCG8Z86ozja5n9LFRVpcY8kiTB6/Wi2WxSccuyLDweD1iWRblcRrVa7ajlsp5vKBRCpVJBrVZDIBCA1+uF1+uFoihoNps0OqGqKk3H0zQNsixDFEW6zCpyiQAlrYCcTIpexDjqZd2JgcPrZFmFg853tfyxRGxbUL4QsCVkuTIKzPHb7kg+CcFYANVCe0D/zCFiCwCnvENgsgbtIesznVPrvgpOTU1gZna6p/g/tJWPYeDhvUd4trz6Qsfsrq096jgAIHEcrI1jSNTW1zX4botbzha1M1gDS7EVnM+eAW9+88MHBgwCmh8BzY/h+gD0L0yoiNBt8q2X2SmqYh1VsY7NwC44g0NECSEqhxBVwvDqX13NoWEYuHP7Lt58+w3bvRQMBXAhdRG3tI9sfaPVkALNo4Jv2aO21vR/Im6dDM+s985gM4kaX8e+N2s7x4KnjPXANiZbnSUlJDJKskwIuq5D/aKem0RROY6jrdqAdpSW4zi0Wi2wLEvTYk2z3a+W53hc4M8giX78wfwTFMa5nOOpZwsNyPixeRUeRkKlUgEAxGIx8DyPaDRKI5+xWIw+UzOZDAzD6PB22Nvbg6IomJmZoeJxZ2cHjUYDc3PPHc43NjZQqVTw6quv0vNeW1uDLMs4fbp3v+rDCIfDSCQS+O1vf0t75g4PD3eU5oTDYVupQ6FQwMOHD1Eul6EoCv2MG40GwuEwSqUSstksfvWrX9mOWavVXGHr8r3gm/9lcnFx+VqQZRnLy8sYHx9HcjCF/+LW/xWjEXvNnIcT8b+7/r8Ao4G29Tl//vwLH29sbAzRaBSLi4t4+PAhZmZmEAwG4ff7cf36dTx79gwHBwcwTbNjltyajtttKhUOh9FoNDA6OkoHVQ+bS9hT7WlqPDi8FXwNA8P296hrOvw+P8qlMu1HKMsyGo12/R5JVQuFQhAEAaIoIhKJUHEbDAZtIoLneYTDYVQqFSqAOY6DKIrgeZ6mNAuCQF1ACYqiUFELdKb3dUdvCWTQ4hix1QFGPllhe9j2nEMvW03UcEt8iCxbRvVLtt3pG449F7Y7zhHbK55ZxNSvN5IoSSJeufIKEin75AzhMLHZarbw2a3Pkc/Z3WgPo841kZPsLVGOE7HtptRq2YStCUA3AKcS4RYv42l07Ss3k3pRGIaBwAjoU6KIyRGcAtBiZZpyXBQrHe7Rx0VndeQ9RRhhE7KgQ9IFBJUAQloAQTUAzjz5aO7m2jbGT43Zls9Mz+Dg0T7KnpLtNWFMhO+gM6PE6o5sxepk3C1qCVcQwbLnGepOkwMBwGgw6FMjdD9WV2TrM4IY51nPgUwmejweOtlHXie1rcRUimTKMAyDAfTj7dYV/FFcRJlzTtffQQb/Vv1H3FAvQFL5jrraZrNJ05wzmQw4joMsy6jVahgeHqbCtFgsolQqYWxsjJ5PsVhENpvFqVOnqAAsFArY3t7G1NQUzSrK5/N4+vQpzpw5Q9sHvSgsy+Ktt95CPp/H/v4+VlZW8ODBA7z99ts0a6hb1Gqahg8//BCpVApXr16FJEloNBr48MMPOyZI0+l0R8SW4OQj4eLyXcQVti4uPxAkSeqoo/mv/vw/O3Kbt99++0sdMxwO0/qebkifPCtk9tzat3V4eBg+nw9PnjxBuVyG3++n6VmyIeODyqeO+7/snUPME4HXa4+w1Kp1SJKEoaEh7OzsoF6vo7+/n/Y/rNfraLVaKBaL4DgOHo8Hoih2CFcncctxHMLhMKrVKmq1Gvx+P3ieB8uy1KFTVVXab1HTNFpfS/5N0vtIPWq38ygZqJqmCRPOEVu2yYFl2C8lYrvpVWerw0BL1WzJmgzLYNeTQ0t7+R6lhIGBJNYX25HafKWEUq2CSKAzXdMf6J0C/FXQn4jjlasXD3UNPUzU5rN5fHbrc7RavVv59GLTu2tbdpSoJesILAvVIjJUw0BL1eEROgfKKnQElACaYtO2n6/TTOowuk2cuu93jyEh3Uwg3UzAhImqUEPxi/rcilDrbSHdRVSK4D+/+p9B+Ba0DfuzuZ9/bcf68xPaj67r+Md//Ec0m00qVr1eL+2zS1KTOY6jabPkeUjWA9qRXUkV8M+EG7iDx1iBc/ZGDQ38jv8EV0PnMehp36OtVguVSgXhcBjhcBj5fB67u7vUVIqI0Gazib29PcTjcVp602q1sLGxgXg8jlQqRZctLy+jv78f4+PjdNni4iISiQRmZ2e/1DVjGAbxeBzxeBxnz57Fr3/9a+zs7GB6etpx/UqlAkVRMDc3R/0gisXOya9oNIrt7W3qH+Hi8n3EFbYuLi7fGkgaW7fbZl9fH9LpNHZ3d9FsNtFoNODz+fBx9XM0DPvAOwAfXvGeQyBkr4kFgEK+HSETBAFDQ0PY3d1FJpNBf38/AoEAAoEAVFWl9VhE7JIWPqqqolKpIBgM2gYILMsiFApR102v10tTjQOBABqNBlqtFiRJorVkpmnSdGUyyCPpedZ2Mtb+qIZhQOc0R+Mops7Sc7Fu92VTkVmWhQIVWbZMU4vzbAUJM4QLGLFt4xeklxK2YcNPa2MTRgRMn4lbzOf03J/tbOLS9LmObXxfk7BlGAZnzk1jcmbyyPV68Wz5GR4sPnqpz0JhVOx57CmiXC8H7K5jSBzXIWwBoCg3kRbs35Uq00RY8aEu2iPu35SZlLWtzou06WHAIKQGEVKDGK0PQmM0KnKLUrnDXbqbgBD4Voja7yokc6VSqUDTNAiCQCOO5FlHMltkWaZlGKIo0pRfXdfRarUgiiJ8ohc3zIvoM8K4jQeOddUGY+AWs4iK3MBVdo463EciETAMg0gkgv39fTAMQyendF2npS7EGErXdayurkKSJExOTtKJxSdPnkAQBMzNzdFli4uL4DgOr7322pcSjvl8HgcHB0ilUpAkCYVCAbIs0/IbJ3w+H1iWxdOnT3Hq1CmUy2U8etTZJeD06dNYXV3FJ598gpmZGYiiiFqths3NTVy+fNkVuy7fC1xh6+Li8q2iVCrZnJBJj8BYLIZWq4X19XV4Un7caT1w3McNz2XwDI9A0FnYPnm8hGgkimAwCJ7nMTg4iL29PWQyGcTjcXi9XgiCgFQqhWw2C03TEA6HaU0sEd7lcplGX7vbgQSDQdRqNTSbTZimSU2m/H4/7ZNLTEwYhoHP50Or1aJRW4ZhaDSXpAuSejliAqMeYhzVPei3ilprKuJhmDBRZ1ptIfuF0VNJtEe66qpz1NEviMjb5x06YE0WfUaoLWL1COJGGBK6RIQInIoPYyXbjtA823UStl99Kp3X58Xl115BrC/Wc53DBK2mabj72SJ2tnZ6bnuUUNvy7jvWJ3tMCSo6JxEYB6cdiedR62o5peg6JEWCLHZ+jhqrw18LQOFUqJx9guLrNJPqvq4vaoDWDW/y6Jdj6JdjMGGiybVoynJJrMBgv9z+XTohrc4EQeiooW21WuB5nqbCMgxDzfaszzDS69uaMpuu9uEN7gI+9z9GA8711A+1p9jTM7jCzmIgPkC/Y6S3rd/vx97eHgzDQL1eh67rmJqaosff2tqCoii4cOECFeOrq6toNBp47bXXqPBeXl5GqVTCj3/84y/d+1UQBORyOTx9+hSqqsLv92N+fp76TDjh8Xhw5coV3L9/H0+fPkU0GsX8/Dw++ui5/4TX68VPfvIT3Lt3Dx988AEMw4DP50MqlXrpNnAuLt82XGHr4uLyrWJtbQ2BQKCjjnZrawuGYWBwcBAcx2FjYwO/qb4P0yFa2a9GMRkdB8MA/qA9iie3ZEiiRAczxIRjYGAA+/v7yGaziMfj8Pl8tBdgLpdDtVpFJBKhArfRaKDRaKDZbKLZbNJaXEEQaJQ1GAzSCK2u6zRFjIhYWZZhmiYdCHk8HuqWzLIsvF4vTNOEqqrUUAqwpF36e/TcdHBE7o5wOfWVNWCixNSeGz2xJTTYo1NlGz2ErU+wGzhJpoB+PYy4EUHSjCFmBME6WZ12cTZ9+rmwdXBGZlkWXp8HzcZLGAYdg/RgGhcvz0MQe0fuDhsc1qo1fPrxZ6hWqj3XOcygCwB06Nj27jtv6yDERF2A2lVX6lRnCwBKy4RTG989XxazxdNY6luxRca+DjOp7n6swPNMhBM7hqV37uAXvXMrYu2L3rnlEzvODxld1x1FLZnUI8sURaFR1FarhXq9Tj9/q3FfrVaDYRiYiIxiiBvEP2mfYN/MOR67wJXxQeBP8COIQSRRKpXQbDYxNDQEr9dLI6SmaWJiYoKeYy6XQ6FQwPT0dEe/2v39fczOztII6v7+PtbX1zE/P0+dll+GK1eu0H/3KuHpXs/KyMgIRkY6M2d+8YtfdPw/GAzixo0bPff94x//uOP/77zzTs91XVy+jbjC1sXF5VvF2NgYFhYWUK/XMT09DU3TsLu7i1QqRWfHm/0q8hn7gJM1GVw0zrZFjt9nM9gAgEatieHhYXAch4ODA+i6Th0y0+k0MpkMcrkcYrEYNYDq7+9HLpejvQ99Ph/C4TCCwSDy+TwVnvV6u/0KaWshiiJNEWs0GqjX6/D5fHTgxrIsFcYk6itJEliWhSzLaLVaVPSSNGhrqwzd69AiRwc4lYOJThFgFUxEJGjQkecqyDBF2nZHY17cYEczDMi6Bonr/EnxCxKChrftVPxFanHI9FHTIWpuYx4dHTs3cBp/e++fAADPdp0NpHwB34kLW5Zlce7CrKOZj5XDRO3u9h7ufrbQYRjWi8ME254nB5W17yOmhNHw2Xv4SrqIOtt5PTiGQdjwo8x2rp8xKpiUEyhJlY7lKquhytcxXh7BasR+3b8KM6mjamePmgD4srBgEVFCiCghjNeGEYDrFvtl4TiuQ9SS0gu/308/b0VRoOs6/H4/LdOo1+sdLc+AdvRWVVWaccODx4+1V/Gpeg+rHudsiCZk/Kr2D3iNm0e8HES8L07FqtfrRbFYBMuyqNfriEQiaDQa2N7eRjqdps799XodKysrGBgYwNDQEF324MEDDA4OYmpq6iu7fi4uLsfDFbYuLi6H8uDBA+zu7uJnP/vZ13K8gYEB8DyPxcVFLCwswOv10sgpAKiGit8X/uC47YQyjLjYThP1+ZzTI+v1Rtth84vjkFYPfX19YBgGiUQCLMuiUChA13WEQiGwLIv+/n7k83mUSiWYpkkNOOLxOIrFIlqtFjWUkmWZClZSX0ZaCdXrdTqYI70eSeSX9M0lUV/rPoDnbsk8z0PTNch+uyBkGhwYMGBYpiNtGQBkVsUBU0SGKSDLllFgqy/V99OJhiJD8nb+pCS5CGZavVteEIHSHTl2YioxBoHjoeoanu04m8b4Al7k7QbZL00wGMDla5dsfUWtHCZoTdPEw3uPsbK0cuS6Rwk1E6ajaRQAxLQQGrALW48uoTurGwDiZhjlrvUbjIxkI24TtgCw6d/Da9l51IQ6Mn57VOykzKScorNO9DIy+6oQjO//UOn27dtQFAWvv/76V7J/4vBuGAZt60MmDoF2mr6iKPB4PHQCk6xPzKRqtRpEUUSj0aDt1Mi29Wodr3rPYUIcwfvKbWiwT9CZMHFLX8BoKI3/IDpOt81kMnSy8uDgAJqmoVqtwu/3U2MoTdPw5MkT+Hw+zM7OgmEY6LqOhYUFmgbspvO6uHzzfP+f1i4uLsfml7/8JW7cuIHBwecD1OnpaUxOHm6Uc9LE43Fcu3YNn332GYrFIuLxOB0AfVz6HGXNns4pGSImGoPwhDwwTdOx5tLQDbS+iOgxDINkMgmO47C3twdd15FIJKgbJcuyKBaLMAyDGo709fXRnrbWNhTRaBTlcpn2sA2HwzStTlEUWk9LBkNk0ESisH6/H/V6vUP0chwHn89HWxB1w3oYgHfoKdtoi0QTJipMg9bGZtkSquwRBa8vCG9y6DfC6NcjCLUCgLcrsia2z+OwSF53NKYXIi9gMjGKR3vPsLa35bjOSRpIjYyP4PyFc+D53ud22EBWbsn406d3kDl4bvR0WKTxqOhjTiyh4dB6Jaj6e9aDenTnXr79ZgjPYBfJDU1BWAmiLHZ+v1RWw54vi/HyCBpCEzXRLqJf1kzqqOhsL77qqK3LyUP8CQRBoJN4wHNjKJ7naVTXMAw0Gg3wPI9gMAjTNFGr1SDLMn02kvXK5TJ4nkckEkGMjSHChPCb5oeo93jebbB7+G+Lf4e/Ct9E86DdNmh4eJhOKO7t7YFhGJw/f55mvKysrEBRFFy/fp0+rx49eoRGo4G3336binEXF5dvFlfYurh8xyFtEr4qvu4fbCL6vF4vJEmCoijIZrPgeR6euA9/LH/uuN15dRI8eKiqipbcQjBkTx9s1O0DHSKad3Z2YBgGkskkWJZFX18fOI5DLpeDYRiIxWJUxHIch1KpBMMwEAqFwDAMwuEwWJaltV9+vx+SJEGSJASDQSpwicit1WrgeZ66gQYCAdRqNZquTFpheDwearwCPO9fqHuc01r3lCJWpQyybAky8+Vb7VjxGRISZhT9RgRxLYyIGQD7hWhtynU0u6OGLGAIBjj18PuTOC4fFbU9l57Eo71nqLea2M0dYCCe7Hj9JFr+8DyP+UtzGBo5PPp4mKgt5Av47I+fQ5YVx/f1MoKsV7R2tDngGEXlDb5npDFuOkegD9gSztSHsCg+sR/ft4eBRhLThVO41//4S5tJHTc6e5z9fN/ErdMz/bCes98GrC3JDltHEAQqSoF2JJTU2pJJPdM06YQeyYIhk4JkIqxcLlOvAjIpSY7NVxm81XwFD6Nr2DCcvzc5vYj/V+Fv8Ioyg2vDl+nvnKZpdNJkdXUVZ86cwcHBAXK5HC5cuECNDbe3t7Gzs4MrV64gEomcxCV0cXE5AVxh6+JywpimiSdPnmB1dRWtVguBQABnz57F8PAwMpkM3n//fbz11lu4d+8eKpUKIpEIXn311Q4r/93dXTx8+JDORPf391PDh3fffRfj4+Oo1WrY2dnB0NAQGo0GQqEQXnnlFbqPVquFd999F2+88QaSySTdrlKpYHd3F6IoYmZmhkZj3333XQDAxx9/DKBtcPTOO+/YUpFN08SjR4+wurpKWxCcP3+eOjbW63X8+te/xvXr1/H06VMUCgUEAgFcunTpWMYaDx8+xMDAAERRRKlUwtmzZ1Gv17G+vo7F5jJ0hxrQYc8AzgkzyDazyOVyGJsYddx3o+4c/SRidWtrC3t7e0in02BZFpFIBCzLdqQrsyyLcDgMhmFsEV0icqvVKjU7IYiiCFEUqcglrS9I3SXP89Q8iqTadQ9ureJW9jobNt1RnqHGnUCdqQlEzEBH2x2/6Xneksns/BxYxVm86pJ2pLAl6dJHiZTZgdPAnfa/n+1s2oStz8Es7EWIRCO4/Nor8Af8h653mLhYXVnDg4WHVMySCQryfzJoPuy9dr9W4dv9V7uRdBH9ctSx9jWo+MHaugu38UBEwPCi1hXROmCLuK6cRUgJoCLWOl5TOBV73gyGmilMF07hYXzphc2kXjY62wsipL4NwnZrawuPHj1CrVYDx3GIRCJ4/fXX8Yc//AGRSKSjb/dHH30EURSpCZDTM72/vx8LCwvU6bZareLnP/85PB4P7t+/T916w+Ew5ubmaKnG2toaFhYWcO3aNdy9exfNZhPxeByvvvoqTd01DAP37t3D2toaGIbB+Pi4Yx1zr98xAPS37I033sCDBw9QLpfx5ptv0vPoxjRN8Dzf0bNW0zRaamE1hiKRXVIGAoD2AI/FYpAkibZTM00T4XCYCtN6vY5Go4FkXwKnAhP4TL6PT1oLjuekQsOn/gcQNS/eMF9Fo9FAJpNBOp1GIBDA6uoqFhcX0Wg0MDo6SnvYVioVPHr0COPj4xgbG3vRW8XFxeUrxBW2Li4nzOPHj7GxsYFLly4hEAggm83i008/pSlWAHD//n3Mz89DkiT86U9/wmeffYa3334bQBkp5E0AAPWNSURBVFvUfvzxxzhz5gyuXr0KwzCwt7fXcYzl5WWcPXuWNoHP5/O4e/cu5ufnqRja2NiA1+vtGGgsLS3hzJkzOHfuHPb397GwsIBgMIhUKoWbN2/ib//2b/Hqq68eav+/vLyM5eVlXLp0CZFIBGtra/j444/xz/7ZP0Mw+DxKSt5jMBjE/fv38cknn+DnP//5kb3yBgYG8ODBA/A8j3A4jGg0ilgshgyXx07hwLY+AwZ/1vcjVDZKtP9sf6Lfcd+NmrOwBYBQKISxsTFsbGxgZ2cH6XQaPM8jFAqB4zjs7+8jl8vRNGWyPJfLwTRNKoKDwSCN6Jqm2XFNCKIoIhqNolKpQFVVSJJE0/EIxGmZYRiAATSviS11HxmUkEMZ5zyDSCHSsV9V11BTX07UciaLuBlGwogiYUYQU4MQHQo0e4kITnYWr4akAzXHl2z7PUrYTsSH4BUkNFUZz3Y38cb8qx2ve32eY0V+nTg1NYGz588cen8eJmh1TcfCnxaxtbHdsdxJtHe7+x4lzDa9e47LR5pptHjZMRU5oPph68tEMZE0o6ihU9hW2AaaUDBWH8Q9ccl+Hv5dDDQTCKqBFzKTOqnorOM7+RakJDebTXzyySeYm5vD0NAQVFWlz4Xj0v1Mz2az0HUdT548weXLlyGKIiRJwp07d1CpVPDaa6/B6/Vie3sbH374YcfzV9d1LC0t4erVq2AYBp9++ikWFxfx2muv0WOtr6/TCdWlpSXs7Ox0/FYc9jtmXe/evXuYn59HIBA4NLuHTNoRN2RBECDLMnietxlIybIMn89H96coCur1OgKBABXnkiTRrBfinMzzPEql9u8AuRYXuTNgGjr+5H0MhXHOcvlD5TPsyAeYLYwhEgwjnU6DYRhMTExgZWUFLMtSAauqKhYWFmwTyS4uLt8OXGHr4nKC6LqOx48f46233qLRyUAggFwuh9XVVUxMTAAAzp8/TwcHZ86cwR/+8Ac6i/348WMMDw/j3LnnfTq7U50SiQSmp6fp/71eL+7evYvd3V06o76+vo6xsbGOwXg8HseZM2cAtFO8crkclpeXkUqlqPsuMTrqxfLyMqanp2lbgfn5eWSzWSp2CdPT0xgYGAAAzM7O4re//S1qtdqhTeYB4OzZs6hUKtjc3ISmae3WNzyH92ufOK7/Sug8kmI/9hu7CAaDqNfrSKbsUQNZVqBphzv+ErOQ9fV17OzsYHBwkA680uk09vf3kclk0N/fD47j6ICMtIUgkV/ifEwiuiSSa4VEdSqVCmRZht/vp9HcltJCRisia5aQY8vICCU0GbmjHUvUY48qFlu9hXs3HlP8wq04jH4jgqgRBPdFhI9h2uZT3e2BrOKkW0xwvSK24vFclo9jJMWxHGZSE7i79RgrO72ckb2oVew1oL0QJRGvvHoRybRzpIlwmKit1+q4/cfPUC7Zo6pAZ6q19ZpZ00uty63/brEyDiR7qjFncBhsJZDzFB2PGVT9aME5Fd1ggKQRwTPOnqaZYYsYVZIIqn5Uhc7rKHMq9rxZDDaTSDb6DzWT2g7uYqQ2RN/PVyU8v24jKSdarRZM08TQ0BBNVX3R9NTuZ3o2m4VhGHQCEQDNXHnnnXfoM3pmZgb7+/tYW1vD3NwcANDtSMbI6dOn8ejRI7rv5eVlzMzMUGffS5cuYX//eRupo37HrML23LlzNJJ5GOQ+53meilfyW2MVtc1mE6Io0t8jXddRLpchCAL97dA0DcVikYrscrmMarVdF87zPGKxGN02k8lgkEniTGwaf1f9J2S1guP5rcqbOPBm8Z8M/jX9Ph4cHIBlWXAch88++wyXL1/G0tISVFXFj370o6+0BMjFxeXlcIWti8sJUqvVoOs6Pvzww47lJF2VEA6H6b/JD3ir1YLf70epVKICuBfRaKdBC8dxGB0dxdraGoaHh1EsFlGpVGxpUn19fbb/P3369LhvD6qq0tS27v2Uy53td6zvlwzCZPnonqiqquLg4ADxeByVSgULCwsoDzaRU+wDEgkifhS5RlPX6vU6BgbT4AX7o+2waK0Vr9eLiYkJrK2tYWtrC4ODg7Rtz8DAAPb29nBwcIBEIgGe5+Hz+ZBIJJDNZpHP5xGLxcDzPB2wFYtFlEolmq5shdTmFqpFrDQ3UTTqyHFl7At5qELv1jA+QYTE26MjpVZvQRcy/UiaUSSMdjQ2aPrAc3w7asiaMGB0pMs6pSaScyZ/W9dhDBaMysIUOkWpIR2/fdBxjKTODUzi7tZjrPYUtr5jC9t4Io5LVy7C4/Ucut5hwml/dx9/+vQuTRN3gjjCkggtuc7W/faKOm569+DU5newlQBv8qgJzu81oPohC6VeZ4SU4WzydMCWMGakMFYbxP3osu31Df8u0s1+sGAPNZPaDu7B9xJmUi/DNx21DYfDSCQS+O1vf4tUKoVkMonh4WGIokNj4B50P9MB0LIHQrlchmma+M1vftOxnq7rHRlBJLWXQHrCAm3x2Gq1On4LWJZFLBaj1++4v2O9zrsXpmlC0zT6XeB53iZqJUnqqLUtl8tgGIZ6HJimiVKpBAB0gjEajVKjPoZhqAkfcbYfGRmBKIj4j6N/hb/L/h6r2HY8vzrbxP9j75f4DxI/Q38tjEqlgnPnzsHj8eDhw4f44x//CE3TcOPGjY7r6+Li8u3BFbYuLicIqZd8/fXXbVFPjuNQq7VzMg9LdzzOLDDP27+64+Pj+N3vfodGo4G1tTUkEgkaPfgmcBIDxxl47u3twe/3Y35+HgzDYOHJIhbUpxgNDtnWPdUcRq1QRSAQQDQaBcMwmJqecnThrZardBLhKDweD86dO4fd3V3UajX09/fT6EIwGEQmk6FRVhLRDYVC2NvbQ6FQoOLW4/Ggr68PhUIBpVLpucGU0cCukcOOnsGunkWWKcH0fHFtjpFF6xStBYBCq31/MSaDmBFEwogiiSgSZhR+9vn9aPImVFWFrrdFJ4lKsCxLlx3m3EuiL901k5zCQesStseN2Fr3c1jUdjZ9CgAObflzFAzDYPrsFKbOTB7Zguew83z84AmWHx9vYogI2u6otPU6d6cma4yGHY+9fxFjttOQAaDqIColTYRoCD3dqE2YCJl+eEwRLUbpeO2AbUeA+5QIAqoPNaFzQkjmFOx7chhoJcCCPTEzqe8yLMvirbfeQj6fx/7+PlZWVvDgwQO8/fbbx34OOj3TOY7r2F7TNDAMg5s3b9r2a92++/flRSPaR/2OHXXeTpimSScgJUmivWx5nqe1tlZRC7SNBDVNQ19fHz0OyXBJJpMdy1qtFtLpNGRZRqlUQrVahaIoSCaTdIKhUanjXHkCg/1JfKzcheHwsFVNDf/64N9jQh7Ez0d+QoX72NgYnjx50uHI7OLi8u3DFbYuLicIMbtoNBqOJhpE2B4G6aVH+ucdl0gkgmg0itXVVWxubjrW/+Tzedv/rTWgRxmxkDYNuVyu4/2RSOVJMDIyQtOcAeAn13+Mn+DHR25H0vB6MTU5fejrTszMzLzQ+oZh4De/+Q29HoIgQBAEmBEOT6rryFRLyPFlVMzjp8o6EfU4RwsG6v04r0+hHxHostYhQK0pm6RXbre4JW2GdF3v2NaaQtvL/ZRhGLAyB/g7BY4h6ke2/OlY/wgjqaFoCiGPH5uZXaiaBqFrYH1Uyx+v14tLr72Cvvjh9+thYkCRFXz+yZ86WvkctS/yfsj7c/qudacm73gy0Fn7xEBC7oPHkGDAQIO3O32362vbExxOkM8jZUSxznXWrReYKmSokCBgrD6IBxG7cN/w7yLV6gfHsPDAg+niKTzse3EzqZPkm47akjZh8XgcZ8+exa9//Wvs7OxAkiQ0m88/I9KeppfJ0mFEo1EqEPv7nX0EjoKk+ebzeboPwzBQLBZpNPao37GXQVbaotbn84HneZimCV3XUavVYJomPB4PLeEA2tFpWZYRiUQ6sppqtRoikQgV3M1mE8ViEdFoFMFgEMFgEDzPI5fLgeM4+uxSFAW5XA7RSBTnEucwrozg3+T+HnXDuSXQqrSDX6vv41+p/wIeU8SzZ89oKjQxzTqOGaKLi8vXiytsXVxOEEEQMD09jYWFBQDtmlZiJNLd5qAXs7Oz+OCDDxAIBDAyMkLNo0ht7GGMj4/j7t274Hm+oxctIZ/P48mTJxgcHMT+/j62t7fxxhtv0Nd9Ph8ODg5oqxunVLrp6Wk8fPgQgUAAkUgE6+vrKJVKuHr16pHn932HZVkk0gncXlvAvdIzlKQ69owcWqby/Gl7AuPuuMduSAUdOF0bAgMGBtOu17aKUatgBI4nbolYIFEawzBskVSrkOAVHp3xPwBMW9xyyvF/bg4TKSzD4mz6ND5ZW8TG/g5OD3U6YB/W8ic9kMKFV+cPTRE9qmVJqVDC7T9+hkbj6J7A3YKWYBW31kmDDjHNMtjqYRo12mzXrtfFpk1MAu36WgC9I7ZfbJN0ELZggCxbwpDRj7gchV/1oi50vtcWLyPjzSPVjLcN0pQXM5P6KvkmxG0+n8fBwQFSqRQkSUKhUKCO8TzPY2FhAbu7uwgEAlheXj40bf0wgsEgRkZGcPv2bczPzyMSiUCWZWQyGYTDYeppcBSTk5N48uQJFYLLy8tQlOff3KN+x17GCXhfzCLiC9IoK3muqKpKfxudRC3JOtI0DYVCAV6vl6Zna5qGfD4Pr9dLRaa1/jYQCKBQKKBWq0HTNIiiiIGBATAMg0EhhZutq/iYX0COLTme81p9C//V8v8NN7SLCMKLS5cugeM43LlzBx988AFu3LhxrPpiFxeXrw9X2Lq4nDDnzp2DJEl4/Pgx6vU6BEFANBrFmTNnjjXgSiQSuHbtGh49eoQnT55AEIRjzwyPjIxgYWEBw8PDjinNU1NTKBQKePjwIQRBwPz8fMcP84ULF7CwsIDV1VV4vV688847tn1MTk5CVVUsLi7SwduNGzcc3X9/iPy3lb/HU369/Z8Xy8J1hDGBPiaMNBtHwowi2JDAS/b6W6bBgUHbnMUwDOi6TqOCZLBPDMqs4lYURSiKQoUseZ2IW6sgJn9bRW9HKq3sLAh16eWEba+U5NkvhO2z3Q2bsHVKRWZZFrPzZzFx+ugsiMNE7frqBu7duX+k63IvQdu9jjVCSwQuec/7Yg4tzjZNgIgSQkhrR+yrvHMGSOAoYfvF3wkj4vj6PlvEkNEPBgzG6oN4GFmxrbPu20Gy2UePcZSZ1FZwFyPVw3sDf1m+qfY/giAgl8vh6dOnUFWVllKk02kYhoFSqYTbt2+3SyWmpl462goAV65cwaNHj7C4uEiNlvr6+mi7teMwPT2NVquF27dvA2hPiA4ODnYI7sN+x16Gbe8+zKaBfqNd2yvLMlRVpanI5NlEUo2j0SidCFZVFYVCgfYXJ98tkoFEXIyJ4ZNpmu26WlFEKBTC5uYm7S1Onn17e3vgFBb/0/H/IT6o3cYn5buO513Ravh78yP85ehNiKIIhmFw6dIlLC4u4g9/+ANee+01atjo4uLyzcOY34YGcC4uLidCvV7Hv//3/x43b960mXq8++67mJqawtTU1Dd0dj8M/lfv/+d4Vnau/zwOPDikuTjSTB9CDS/6jDDC3ueRDpVVUBy31116Cj6Y6+3JDGIkQwaMBGt6sTV6C4BGbEi9LQAqhslysr5VJFtrRTWPhsqk3eTLtxuAJ/9idWm0X65unx04qOTwv/7X/0f85/+T/xT/y7/+T2yvv//rP0BV2uI/EAzg8muvIBwJ29YjHBWl1XUd9+7cx8ba0Z/rcVr4kGN1p3WTSQTd0PFZ5D4qDsZQFyoziMvt7/ZSeBVZX2d5AUzgtYNXwJsccmIRC+Entn1cLJ1BnxqBARP/nfQe1K42KAkjgp8rV9piASY+jd1zTHk+Wz6FZOv5pJsBAw/jS45mUgAwVTh1pJnUl424Wu/RkyIajeLP/uzPTmx/P0T+D5/9l9iv7uP11hUIctsZ2ePx0LY9BNKrlqQa1+t1lEolCIKARCJBWwAVi0WUy2UMDQ1RAVwoFJDP5zE6OkonWkndczQaRalUopHcXC6HsbExaqL18d5n+F31I+hM70mr1/pfwb889c8hcgIMw8D9+/ext7eHy5cvH2n46OLi8vXgRmxdXL4HGIYBWZZx//59xGKxF3KqdPlm8ULCIJfAINePAa4f/WwUHNMWOmW5DM3UqMsnz/PQvc5uyXxLhOj3oNls0v6QAGhEVhAEmkpMhClJh7VGbolQPSxyS5Z3Gx8JqnMfS73LGdnn83W4uPbCKvisRCIR/GTuOlRVB8fYf8ZS6RRqlTqS6QQmZyYPNWQzTQMc2/unsNVs4eG9h6hWavD5fGg0nN21iaDqPtdu52Or8Or+P7mmJaHqKGp9mgdxJUrFs5OA9Gke8Gb7/fassf0iFZkFg6QRwTbXGWXNMWUYrAnOZAATGKsP4FH4mW0/6/4dJFrPo7YnYSb1ZQXpt6H9j4szKqPhM3EBF2qzCHoD9Bng9XpRr9dhGAYVtaQWudFowO/3o6+vjz4PGo0GyuUy4vE4FbWNRoPWDRNR22g0qIP98PAwNVYk6cvkd7LVasF/IOCvwj/BB+znKCglx/P/JHsHO419/M9n/keIe2KYm5uDIAj4/PPPoapqR7smFxeXbwZX2Lq4fA/I5XJ4//33EQwGce3atW/6dL51/PKXv8SNGzcc646/bvrYMAb5BAb5BAJ1CWKLRSgYgke0OzYbhgFRFKGqKur1OrxeL7SYc30eLwtgGAZerxetVoumuYqiCF3XoWkavF4vdF2Hqqo0MkYcUEmPSdKOwzRN2o6DRGa7xS0REbR9DRiwKgvjEGdkn8+Hd95550v3gPzzP//znq+9fv2Nnq+9KJ6AFzeuvw6gHbl999130Wg0HFs3OdHtHE1wSlEmn9mmz7m2dqQ5AJiAYRowOANNvmVbJ6AFnn82h7gik3NLmlFso1PYGoyJAxSRNtsGW4lWH9b8O7bjNfgWslIBCfl56xjREDFdOIWH8W/OTOpFjKScPrfuZYdF811ejBrXwNPIOl4z2+aGpmmi0Wh01J2TelpVVdHX14dAINDhlFwoFOD3+6kw1TQN+/v78Pv91OxK0zRsbW3B5/PR5z5xYxYEAbIs4/HjxxgZGcHW1hZEUcTFmYt4xbyA//fGr7BUW3U8/636Lv6Lxf8z/mdT/xFmo9M4c+YMeJ7H4uIiFEXBuXPn3IkVF5dvEFfYurh8D0gkEvjFL35x6DpO9bLfRjRNO3YLiW87LFgMCHEM8UlElQD8NRHxQAxBX7A98BbbfRqr1SoMw+gwF7MaPoVCIdRqNTSbTWiCXcxAA9SaBk5qC1HSt9IwDLRaLUiShEajAUVRIIoiWJalqcdWh1IicsnxyWdhrXd1Erdk/XbLHx6G0Fkbau1lK0nSlxa13xQcx9FrSbC+fytWZ2dravJhgothGNTZBrKCPZ1bMHikLWm/lR71tUHFT/fFMj0EGfP8PJJ61HEkkGGKSCP2xeoMRusDeBK2D/bX/Tvol2MdIjqoHmUmtYqZwmRP4f0i6ciHCdPjTj4c1tqq1+suL8+BkMWS9gzT+ilUKhXouo5wOExb9ZBsknQ6TaO6hmFQI6hwOIz+/n56n+zv74NhGAwNDdFl29vbME0TExMTNMNhfX0duq7j4sWLMAwDy8vLtI/7/HzbVM7DevCO78dI6/1YF3Z7voe/2/49KloN1xOXMTMzg1AohPX1dfA8j5mZGVfcurh8Q3w/Ro8uLi7fGwqFwku1mCA1n980I2IaaTEGf1XAkCeFZCTx3O2TL6NUKsEwDITDYTAMg3A4DI7jUK1WYZomdQElET0SLQoEAqg36pA9VdsxuZYATdXQMlvweDx0W1EUIcsyjVIQsxaWZTtMo3ie7xC41pRlVVVpJMUqbrvrden5yizQ1WbXEHSAxbF69H7b6Rb0Tq9ZjaOs61mNonqx7tmFk94bkdMQWIGK5N7GUb7nac499JhhEdp9ZgicydpqC/fZIuYtGeTJVh/W/Tto8XLHenWhiZxURL/c2T7pcDOpCjWT6iVMjxNJJRw2UWC91kfVPvfCFbYnzxN+BUKdQ1QPIxKJdJRCcByHVCpFJzg1TUMmk4Gqqkgmk9QV2TRN5HI5tFotjI2N0frbbDaLer2OyclJ6oCeyWRQLpdx5swZ2j4okUigVqu1syQ2NzE5OQmWZdHf34/LuPxC78f1r3Bx+XbgClsXF5dvFcQxtF6v4+7du8hk2kZJqVQKr7zyCh2UPHjwALu7uzh9+jR17vzFL36BarWKzz77DIVCAYFAABcuXLAdo1QqYWFhAfl8HhzHYWhoCPPz83RgdPv2bSiKgng8juXlZRiGgeHhYVy8ePHItMQ/j7yOptREzVfD/v4+crkcrQ8Lh8NgWRaFQgGmaSISiYBhGASD7QhupVKBYRgIBoPUNMkq1qWQ6PjUllQJoteLZrOJZrNJt5EkCSzLotlsUjFKTFtImrKqqtA0DRzHgeM4OpgkopYIWZpu3GXO0y1uWdlhcoEBDNEA5/TadwwncdQtxLoFrXW9w0SSymrY89h747Img6FmquNYNdFe68uYDAKan57nUe1+AIADi34jjH2u2LFOli3DgAEW7fudBYvR+gCWwmu2/a37d9CvPI/akmtxqjqGptBCVbSL8J3gHoJ6AHE51vOaOPX5fRFI1PxFt3P5engUfIq3vNfAMRyKxSJUVYXX64WiKGi1WggEArR2lmVZDA8P0+e/ruvIZrOoVqtIpVJ0QrBWqyGbzWJgYID2na3VatjZ2cHg4CA1i6pWq1hbW8PIyAhGR0exsbHhppy7uHwPcL/FLi4u3yrI4P/jjz+Goij40Y9+hLfeegv1eh23bt3qWLdWq2F7exvXr1/Hz372M5imiT/+8Y9gWRY3b97EpUuXcO/evY5tNE3Dhx9+CEEQcPPmTVy7dg0HBwe4e7ez3QOZ9f/Rj36EK1euYH19HWtr9kF9N0SQBgIBDAwMoNVqIZvN0uXBYBD9/f1otVooFAp00E36ArdaLZqeR64HQRXt7V8AgJdFiKIIv99PU4qJ+RNZTgSZYRi0rQfpZUsMorodiMlrBKeBn1XosSwLvkdbH13UekbivqsQB2lrhLZ7AsDKUcJ2U9qD4eDKmpYTkEyxI5JeFexiMaD5wDHc8+vc41AmOqPISdNuNqcxOopcjUbqOY7DoJqER7ebftWEBgpS2W6OZTKYLp6CoDubii2HnqHK1DomT6zX0JrG/TJR08M+C5evF6fsAZ018Cl/F5liBpqmoa+vj5pHlUol5HI5ZDIZeL1ejIyMUFGrKAq2t7dRr9cxODhI2+Gpqort7W2EQiHaxk5VVaytrSEUCtH+u6qq0j6+MzMz8Pv9mJmZ+Vqug4uLy1eLK2xdXFy+VSwvL+Pg4ADlchmvvfYaYrEY+vr6cOXKFWSzWRQKz+sPDcPAlStXEI1GEYlEcHBwgEqlgqtXryISiaC/vx/nz5/v2P/GxgYMw8DVq1cRDoeRTCbxyiuvYGNjA63W8/pVQRBw8eJFhEIhDAwMIJ1O0+jxYZCUOaBtlDQwMABVVZHJZGgNq8/nQ39/P1RVRT6fp4LS5/MhGo1CURQ0m01bSx5Vcha2XKstJnme7+j9SEQQx3Ed9buaptE/VgFNjKVIFJecL4nmkshs93kBz6NrnOosbA1Jf2lh+95779kmHqzU63X88pe/RLFY7LnOSUGuARH8JHW7uyazu4WQtd7WCR0GtjzOplGjzc4epS1GhuLgOhyw1NcyDAOOdY6QMyxDP1OWZZEyY47r7TPFjgkRUzcxUnful7rq24JudKaxm6YJQRcwXTjl6NBMzKQ0xu70fVLpv65L8reDU8aY4/I628CTyCr6E/1UuPp8PmoqFY/HkU6n6fetWq1ia2sLDMNgYmKCGkjpuo6trS2wLIvx8XH6fVtfXwcAWvdqmiaePn0KwzBoBo5pmlhddTaLcnFx+W7hClsXF5dvFYZhoFKpwOfzdYixcDgMQRBQqVToMp/PRwdDAOh2pAciAJp6RqhWqwiHwx0GVX19fe0oWPV5/SpJGyZ4vV7Icmd9YS+2traoOZPX68Xg4CAMw+gQt16vF4lEAoZhIJ/PdyyPxWIdAgH4IjVYdDi+BtQLDZqGrCgKFTb1ep3+kWW5Q8wQUUuOQQQrAOqETGpvBUGgwtcwDAiCAFEU6XJrxJJpsY6RQqsz8knj9Xrxl3/5l7T27quEvFdyLQ6juxb5MLG278lBYe1iNS5H4Nd9HeKs5tAKCAACqr+zplR3Pj/dNGiEXtd1xPWQo/DcZwq2iGm62Q/JIQJbFeooiGXH4xEzKSeImZTZddOclCC1psy7fHMM6Emkmv2Or+XFIh6xywDarXdyuXZddrfzejabxf7+PoLBICYmJuizv9VqYW1tDbIs49SpU/TZvru7i2q1iunpaVpru729jUKhgLm5Ofo7sbm5SY/p4uLy3cYVti4uLt8aup15j+KrdE92GggfJ4o0ODgInuextbWFZrMJoF3rOjQ0BADY399Hq9WiUd1wOAzDMJDL5VAul1Eul9FsNumgjiwrlUtQBLuwZZscOJajEVqCJEl0QEjSkQOBAAKBQIfjssfjgcfjgSRJ8Hg8EAShI+JIhDARsqZp0sg2aREE4HnKKsOBVe0/LbqofSUmPMRB1ev1fi01cr3qZ3txHDdkEyY2vc4OrCPNAdt2vYRtUO00HmN6uSJ3iUgBPPrMoG2tDFuyCU4WLEbqA457Xffv2NYnJBv9SNTjjq+1zaR2bMtPSox+WZEsy7ItTd/l+Oi6jkK+gMnKGCJGyHGdR+YylhoryOfzEEUR6XQa4XAYpVKJ1siWy2Wk02kMDQ3RCG6pVMLa2hpYlsWZM2dorW25XMbBwQHGxsYQiUTouhsbGzh16hT1ciiVSnjy5AlGRpwnXlxcXL5buOZRLi4uXyt/+tOfUK/Xcf36dZsw/fTTT+H1ehGPx9FoNNBoNGjUtlwuQ1VVagjiRCgUQqPRjl6S2Xhr6jLQrnFdX1/vaCuUz+epidOXpVarIRAIoFwuY3d3l0YKrBHYbNZuEAQAzWaTuhYDoE7GQNs4quXwxPYjiFAsSq8Pz/OQJAmBQACGYVChzLIsbZ1BBox039LzuklyTUg6Mmn3Q86HGFCRNkLW9GIiljmVh9FVD6yLWkf9ZC80TcOf/vQn7OzsgOd5TE9Pd7z+7rvvYnx8nA52h4aGMDs7i1//+tf46U9/ikgkgnfffRdnzpzB6dOn6XbFYhG/+93v8Bd/8Rfw+/1QFAWLi4vY3d2FruuIxWK4cOECHQSfJNbIk5O4zYsl1PmmbXlQ9SOq2u/3qmgXtpzBwqs9z14wTRMc08Osi7EL7aQRRY6tdKwmMypKTB1RM9CxPN1MYMO/a0uHrog1lIQKoqpz5Hy8PIKG0ETN4fx3gvvwq370tZ7X+550OrLVvftFaDQaePfddzu+J0fRbbJG6DX5Yj2v40zQWPu+EnRdp5+rtTa+Eayh2Wc3G+MbAvy7wefGb1+UGBBzuW40TYOiKOA4riMrhtBsNqHrOvx+P2035vF4UCwW0Ww2EfAFMJ2bwN34Q8fshAXhIV6PXEEynKTP40ajgYODAzAMg/Hxcfp7YBgG9vf3USwWEYvFMDo6Sq9Fo9HA+vo6otEo7WEryzKWlpYQi8Xoc0FRFCwsLCAWi2FycvLIa/5N89577yESieDixYvf9Km4uHxrcYWti4vL18r09DT+6Z/+Cb/73e8wOztLhUSxWEQul8PIyAht6fDJJ5/QnoN37txBf38/YjHnekAASCaTCAaDuH37Nubn56GqKu7fv9+xzujoKB4+fIjbt29jdnYWsizjzp07GB0d7UhrflnK5TLq9TokSYKiKJBlGYFAAF6vl9apFgoF6rrs9/upedPu7i40TUMoFEKhUEAwGATHcSgUCmiy9oEpAIhK2/k4EomgXC53pMiyLItoNIpKpYJ6vQ7DMOD1esEwDEKhEBXDgF3cEgGrqioVtNbXZFmGLMtU3JIIr2G03Y9VW8sfo8ONtxeLi4vIZrO4ceMGJEnC/fv3USwWOwTn8vIyzp49i9nZWdv2DMNgZGQEm5ubHcJ2Y2ODXm8AuHXrFjiOwxtvvAFBEPDs2TO8//77+PM///MXEjDHgUTOewm1jZ7R2nSHszHDMDBMA1WHiG1A9Xesa5pmT/MoA6ZNeCWNKB7C3nf2gC0iqncKWw4sRhpprAQ3beuvB3YQLT4XtlYBzYLFdOEU7vU/hupQI7wSWYM354FP89Jze5GetodB2si87P7IRNtxcTrOcUTtcVqWkegxcXEHQL/H1h7TDMNAVVWYeQMlKQ+T73rfLBDXkzCKJs3KUFUVHo+nY9KROKTLsgxRFOH1em09r8nzJRgMUlFbLpfpxKIgCKjX64j6IniDfQ3v4WMYXf2/DNbAnzz3kEISkimiXC6j1WqB4zgEAgEqaol5VKvVwujoKPr6+uj9nM/nsbm5CZ/Ph+npafrdW1paAsuymJ+fp5/NvXv3YBgGrl27duR1J075r7/++pGfj4uLyzeHm4rs4uLytRIIBPDTn/4UyWQS9+/fxz/8wz/g97//PZ4+fYqpqSmcO3cODMPgxo0bEEUR7733Hj744AP4/X5cu3bt0H2T7XRdx+9//3t8/vnnNvMonufx5ptvQlEU/P73v8cf//hHJJPJE5sFJ+/hzJkzmJubQyQSQbVahSAI1PVzYmICfr+f9mAkKb2Dg4OQJIkOBkmda19fH0y/c6RJVCT63kkUpdVqoVZ77pobCoXg8/nQbDZRr9fpvsn6qqp2GGeR10VRpINa6yCd4zgq/mRZpoNKmrrco+XPUXW2xMF0fn4eyWQSkUgEV65csQmERCKB6elpmlrdzcjICHK5HH2vpmlia2uLphsSE7Jr164hFoshGAziwoULEEUR29vbh57ji9LLNIpcswpfR1Gs2LaTdBFJ+Xl9ONm+xcnQWft1DGn262AavVOfyUQEOY+EEXFc94B1NuQaaCQg6Pa58ZJYRVGwvx+CaIgvZCZ1krWx36SR1EmJWqsDOfk/EbWkhr57OWOw8OR9DnsDypESfRYQ4U+2I/shk1gej4dOjFnPn4jaUChExbZhGFT8komwSCSCaDSKBBfHJWbO8XzqaOAD5Y/Yz+yjVCqhr68P/f39qFarKJfLqFarWF1dha7rmJmZQTwep+J1Y2MDGxsbSCQSmJubo+J8Y2MD1WoVFy5coM+tZ8+eIZfL4bXXXuvwcjhp3BR2F5evFzdi6+Li8rXj9XrxyiuvHLqO3+8/dHb83LlzOHfunG15MBjET37yk45lv/jFLzr+H4lE8KMf/ajnvq9cuWJb9jLClzh3bm5uYmdnp23UE4+DZVmMjIxgZ2cHBwcHdFDIcRzS6TS2t7ehKAoURQHP8+0Ba4hBd4yLNVhwFnGhqio4joPf76c9cUnqdiAQAMuyqNXa7VVIFFlRFDoIbTQaHQNXjuNopJSI7+5BLTHJIiKJZVn4PT5UPXYjIX9/ACGudyo5GSBbo/KSJNlSxIkTai+i0ShCoRA2Nzdx5swZZLNZyLKM4eFhAO26Ok3T8O/+3b/r2E7X9Y4JgZOgV4SQLOtVWzvcTNEeslacorUAEHQQtr0kHBG2JP3UMAx4TBERw48S27n/A7YIE/aeuBw4DDfSWA1u2fa/4d9BtNT7cyZmUqsRe4SYmEnNFCbB4GSitQRruu1XUe9N6N7/SYla6zYcx8E0TSoerSUMTu/Pk/ehFW/A5DqXq2EZXIUFoz3PyCD1+gzDoNVqQdM0eL1eWyYDEbWmaSIUClEhqWkaisViRwq+JElUQOq6jlg5jAE+gV2/3Wn+wMziscDhzb7rdJtGo4Hd3V0YhoFwOIzx8XF6zWRZxurqKlqtFiYnJ5FMJgG0v2P7+/vY2dnBzMwMfW5ks1msrKxgdnaWtgV6Eba2tvDo0SPUajX6jHz99dfB8zyN7MZiMaysrIDjOPzFX/wF1tfX8fTpU1SrVfA8j0QigQsXLnRkCZXLZSwuLiKXy4HjOKRSqQ4x7uLicjSusHVxcXH5CiGpsTzPY29vD7quI5FIgGEYDA4OguM42uc2Go1SIyRN01AqlWCaJnx+n6NxlKBIHYKDpBGSFOZisQhd16nDs8/nA8dxNPIRDAZpPTCp5yV1zSQC/OMf//jYg+4jOX30KsfhOKZhJB35zJkz2NjYQCqVogNETdPg8XgcJzdITfRJQNJBe9V1tlgZB1LetpwzOAy1ko7bONWnAu1WP92CxikqCjzvY9stbpNG1CZsG4yMGtNE0LRHtQabSWz596CynYZvRamCslBFWA32FJDJRj9qQh0Zv92NlphJjVSHTjQdGTjZ9OZedKRfn5Cotd5HvUSt1a2b1N+SP4qiwFcKoN5Xte27Ei0jnk3QfauqSie8dF2Hz+ezfS96iVpVVVEsFuk95fV6EQqFkM/nUSqV4Pf76XPp1dhFfMLcwYFp9xzY9u1jm9/DFE7R1mPECG9iYoJeV2IIJQgC5ufnaQaHrutYWVlBNpvFyMgIRkdHAbTrgO/du4dUKoWzZ88eed27aTab+OSTTzA3N4ehoSGoqopcLtdxP2UyGQiCgLfeeqvjep07dw7BYBCyLGNhYQG3b9/Gm2++CaCdXv3+++9jfHwcFy5cgK7ruHfvHm7dunXoJKyLi0snbiqyi4uLy1cMEbFDQ0PIZrPY3d2lA+xUKoV4PI5CoYB8Pk9TCEmkslwuo9wqwWDt4ohtPB8QkwEtGYD6fD709fVRgUxS4iRJQiQSga7rqFQq1CxGVVXaP5IMWEVRPDlRewz8fj9Ylu0w/FIUpaMN03EZHR2lNX7b29sdrqfRaBStVgssyyIYDHb8OcnoyFECasu771h3PNhKgDc7xTu5X6qCPaIs6DxEXbCl2XZHWem+LMekbZoYBik4168fMCXH5bzJYajuHPFa99tdjrsZL4/Q3rvd7AT3kfe006BPOh0ZOJ5B08tw0qK2u50WgYhakvpL+k9bxS/ZVtO09r1eDgOG/Vo2/DWovEqPx3EcFZKBQOBQUWttnUZELVknGo0ikUjA6/Wir68Psiwjn29P5AwMDCAcDONN8Rp8sBtRAcDHrU+xWd/G1tYWVFVFKpWiPcFN08T29jZWV1cRiURw4cIFKmobjQYWFxeRz+cxNzeHs2fP0omBxcVF8DyPq1evvtR91Wq1YJomhoaG4Pf7EYlEcPr06Y56Z57ncfnyZYTDYdqCbGJiAul0GoFAAH19fbh48SL29/dp2vfKygoikQjm5uYQCoUQjUbx6quvIpPJvNTzz8Xlh4obsXVxcXH5mkilUhAEAWtrazAMA4ODg2BZFolEAhzH4eDgALqu08hrJBIBx3HIG84uylpZR12pw+/30wGSdRDq8XgQj8dptITsTxRFRKNRlEollMtlBINBmvocCARQq9VQr9dPxCX6RRAEAePj41hcXIQoivB4PLh///5LDUD9fj/i8Tg+//xzmKaJgYHnLWqSyST6+vrw8ccfY25uDsFgEM1mE3t7exgcHDzUoOxFIL1/ndAYHTueA/s2JjDcTDtuY8BAXbAbGAXVAGACDHtMYevQM9Y0zd7Cli3itOHc4mfoi6it1lX3W5DKqPA1x9pfwnHNpPz6ydZAEiOpr5KTErUEq1gm9xTLss/raC3rWmvniRO5JEkwFANSwQM53uXAzQCVSAl9uX5alsAwDERRtGVHEFELtN3VyXtQFAWlUomeV39/Pz0PwzDQbDZpJNnn89H9ciqL2dIU/hS+D4PpnLzTYeB95WPckF7F5FBbPGqaht3dXeq0PD4+joGBAfr+c7kcnj59CkmScO3aNfoM0zQNDx48QLlcxk9+8pOXnsAKh8NIJBL47W9/i1QqhWQyieHh4Y7nrvW6EAqFAh4+fIhyuQxFUejn2Wg0qEt9NpvFr371K9sxa7Xa1/4sdnH5ruIKWxcXF5cT5KgUx76+PrAsi9XVVRiGgeHhYbAsi76+PnAch93dds0lqWcNh8OociWocGgHw7TbGxFhYq2zI4iiiP7+fuTzeRSLRYTDYQiCAJ7nqbitVCrwer108BkMBlGv1yHL9vTnr5q5uTlomoaPPvoIgiBgamqqw8zmRRgZGaGO19YBOsMweOONN3D//n189tln1BgnHo+fiDM2OcZh98KuJ2MTgwCQkPvgNZwH3Q2+CcMhwhv4woK6O832uMKW4DVEBEwvakznvdbLQAoAeJPHUCOF9YA9Qrse2MFcadphq+cQM6mH8SVb9NpgDTyJrWAuewYCI5xo+rDVxfukIOnAvSZivoyoJdta92F1eiZi1Nqqh0ReOY6DYRhQVRWBYghyX9NWgF0PVBHIh6C3dJq+rGlax/sxDAO1Wo26qjuJWkmS0N/f31Fvm81moSgK7R2bz+fps6pQKCAihHBdfBUfqZ/aroPCqXgUWcE0PwWgPWGVz+fRbDYxOztL62YNw8D6+jp2d3eRSqVw7tw5eg7VahULCwuQZRnXrl1DX1+f7TjHhWVZvPXWW8jn89jf38fKygoePHiAt99+m0aMuz9bTdPw4YcfIpVK4erVq5AkCY1GAx9++CH9PDVNQzqdxtyc3VTLqbWSi4uLM66wdXFxcTlBtra20NfXd2gdaDQaxdTUFFZWVrC+vo7R0VFqQmKaJvb29lCv12lqrumzCyDWYBH2RiAY7bYYJBLiBHFWLhQKVNxKkgSO4xCNRmmvW57n0Ww2ae3tV5WueRiCIODq1au4evUqXTYzM0P//c4779i28fv9NoMwADh9+nRHy5/u47zyyitHmpi9LIcJWwMmNr17jq+NNJ0jo8AhxlFKD2HbSwceEgBPGlHUuE5hW2EbaECGD86Ce6iRwpZv3+bWnJdKqPJ1BDXndGN6/oeYSclfmEmdLU33bF/0Mpy0kZTVKMmJ45hJWffVfa7dEFM5XddpqjFpvWXdjpwT6XHt4T2Qq0HUQl3prQxQChYQbkbh8/lolFXTNAiCAF3XUa/XbaK21WqhUmm7YJMUWnIOzWYTuVwODMNgaGiICjRd11EqlegkWiKRAMuyKDMV3Fce297rgZbBB9U/4pw8jWwmC7/fj2aziXw+j2g0ClmW8eTJE9RqNZw5cwYjIyP0HHZ3d/Hw4UP4/X7cvHnz0D7ox4VhGMTjccTjcZw9exa//vWvsbOzY+u5TahUKlAUBXNzc/QZTVK2CdFoFNvb2/SZ7+Li8nK43x4XFxeXE0SWZSwtLdna53QTDAYxPT0NRVGwtrZGo5LWmrlMJgNN19Di7NFaUfWAAQO/308Ha8TwxQme52lEkvSHBEB74EqSRCM0zWYTDMMc2Qbjvffew927dw+/ID9AunvEdpOV8mhx9mh4RAki3CN11zRNx/pawB6xpefRs8a297kne7T9yRwStRVMHkMNZ7Ordf/OsVLJk41+JOpxx9dKngo2Aifbhgk4ufY/ZB+HiVprKvFhx7TeO8QMynofCYIASZLA8zw1VeI4riNSS7YnUVySzUGyEULliOMkgRxtQgyK1N2cZVnIstwhaq1ptvV6nYpa0mOcHK9UKuHg4AAejwcjIyMd6dGkPpdl2Q4hNy2fQlQO208MwGN5GQvV+0in05iensbQ0BD29/exubmJhYUFqKqKq1evYnR0lNbTPnz4EPfu3cPQ0NCJidp8Po9Hjx6hUCigXq9jZ2cHsiwfum+fzweWZfH06VPUajXs7Ozg0aNHHeucPn0aiqLgk08+QaFQQK1Ww/7+Pm7fvn2iWQUuLt93XGHr4uLicoJMTk6CZVksLS3RQV8vfD4fZmZmoOs61tbWIMsyFEUBwzAYGBiAruvYL+07GkcZFYPW2pEBLWmz0WsgxLIsYrEYbQdEauXIgNU6+CTmNC4vzmHCxYSJjZeI1jIMgypvj9h6NAmCxWjKKtYOS0XuFRVKGs6tlA7YUs9zA4DhRgqcYd9nzlNEjbPXBTtxqJlUYA8Fb29x/TLQyPYJilunY/QSteQ1kmpM6ls1TYOu6x2ilohXknqsKAp0XQfP8471ouT7q+s6TZEm++I1Af6awwQKC1RCJfp+SKS2VquBZVnqrg6APj+IMZ7f76fHzWQytAftwMAAzV6p1+vY2tqCYRgYHx9HKBRCNptFvV7HwcEBspksrjGXEWKd60lXghswYu1z6+vrgyRJ2NjYQCAQwPXr12lrskajgU8//RQ7Ozu4dOkSrly5ciwn9eMgCAJyuRz+8Ic/4De/+Q0ePHiA+fl5pNPOdfFA2+vgypUr2N7ext///d/jyZMnmJ+f71jH6/XiJz/5CUzTxAcffIDf/va3uHv3LgTBbgrn4uLSG8b8Kj3vXVxcXH5gZLNZNJtNPHnyBKVSCcPDw7S2rBeKomB5eRmapiEQCKDZbGJkZASKomC9tgp5xC5opA0/hIqEWCyGarUK0zQRiUSQzWapgO1Vx2eaJqrVKqrVKrxeb4cxSb1ep4J3aGgIb7zxRs/zfu+99xCJRF6qx+93lb//+7+3pRF2Q1JEnSjxFXwefWhb7tM8uFa80FuMsiY+TnxuSyOON2OYKZ2i/7e2GDJh4h/7P7Hta7iRwpnmqQ6xQ48DE/9f6QO0GKVjecwI4q+Ua47nRngW2MSm3y7aE60YZsuTh25LUFilp5kUa7A4nzsDn3ZyNYdHtWQ6isPSRp2u71HHJsuA5ynIpA8s2ScxHxIEocON13pc4t4rSRJEUUSj0QDP83R9hZexP7Rju58Yg8Hw7jg4o12f22q1wDAMIpEIrbutVCrQNA08z2NgYIBeg1arRVvfpNNpmvFhmiat8Q8GgxgaGqIti9bX19FsNqnBWzQaRV4r4t+U/haqaZ9c87Je/Ifxv0ZhK49yuQyO4xCLxXDp0iUwDINMJoP79+9DEARcv379xIzgXFxcvhu4EVsXF5cT54c6X0YiLzzPY3Z2Ful0GltbW9ja2jr0moiiiOnpaYiiiEqlQgeKoijCn3BOB0742qmfuVwOiqLA4/FAkiQkEgk6kOwVdSV1cpFIBM1mE+VymZ6f3++n0Zdm054C7fSe79y5g7/5m7/Bv/23/xb379+n+/rlL3+JnZ1OU6F/+qd/OnKf32WOqtnc8O06Lh9ppnuKWhqtdXg5qHZGOEnElmEYMGAc62xN5rl5ku1YYByjtgWmCgWHm3gN19NgTfs+M1IB9WNGbYmZlFMPXmImpTEnl03wZdr/kM/aGnG1/jnsPiDRW4ZhwPM8FZ3EVMkqdonjrmmakGWZClYnUQuArkOcxVmWpY7C9HxrJsSyPdJrsiYqwRI0TaPff3LcYrGIQqEATdMgSRJ1dTdNE5VKBQcHBxAEAaOjo1TUWl2Mk8kkRkZG6IRbtVqlwpnjOLpNhAnhgnLO8b01jSb+9e7folKv4Ny5c5iZmUEul8Pm5iaWl5dx584dxONx/OxnP3NFrYvLDxDXPMrFxeXE2djYwPLyMubn58F6OPzfl/4/aOp2kfSj1HVc6X8FGxsb2Nvbw7Vr16io+jaRzWZx//59KkCtKbvLy8uoVCq0TYw1ynLq1Cn4/X48e/YMrVYL4+PjPVPiBEHA9PQ07t27h1arhUajAZ/PB5m3XzfW4ODlfBCTEvb392GaJh0siqKIZDKJg4MDFAoFRKPRngNga9/YUqlEUw39fj/tY3kU6+vrGB8fx9tvv41isYjPP/8cPp8Pp06dOnLb7yOHCdsG10RWtEd7BYNHutU7qt+rfy0Ax9Rdq4kUA8be3gfPU2CdnIFTRhQbXFcrIgbIchUM6r0dZUVTwGAjgS3/vm3bDf8uzlacjby6OY6Z1ExhsudEwItidRc+7qTcUXXU1vWIaO7evzU6SyC1sQTijk7EJQBq/OYEEbWCIHS46Yqi2NHrVtd1RGtxHETsbtblYBHsLg+BE6jjMklHBp630iLtrEi9aTQapa7vQDsl+OCgfR+Nj4/TZ7tpmjg4OEA+n0ckEsHQ0BCePXuGzc1NDAwMYG9vD0HVh/nULBY1e3ZDla/hYLiAG5EIGIZBIpHA48dt06nz589jZmbGTd91cfmB4kZsXVxcThRVVbG4uAi/3w+v14t/t/4bPCk9xUZ1u+NPU23hQvQcSqUSHj16hIGBgW+lqAXaxiiXL19GtVrFH/7wB+zv79PB8PT0NEKhEB48eIClpSW7SEilMDs7i2azeaSpFIl+SJKEnZ0dlCtlNB0iXaIigkE70kNaTBSLRbpvnueRTCbBMAwKhQIURbHtg+D1ehGPx6HrOorFIk2hDYVCx4pi+Xw+XLhwAaFQCKOjo5icnMTTp0+P3O77yFFiZ9O75xh1HWqlwMFZqBBR4+iIbAIBzR7R7xBPjuKv/bp1EsZKooeB1D5TONL8aLiRBusQbT3w5NFwMEHrRbLRj2TdWeyXPBVsBe2C7MtgGMYLiyEygUCMljiO6/jOcBxHBfNxRC2psbVCWvUQUev1enuK2larBV3XwTCMrUWMtWbWMAz4/X74DB98DYeJEdZEK9aAqqpQFIW+D13XEQwGqahVFAX7+/toNptIp9Po7++nz7BisYidnR2Iokgn+ID278P6+jry+TyGhoYwMTEBSZJw+vRpmKaJjY32ZMaZM2fwduotnPKOO77XR/UlfFL8HJVKBYVCAQAQCAQwNTXliloXlx8wrrB1cXE5UZ48eQJVVTE5OYnt+i4+OrjtuN7/YOwdcAyHhw8fUofgbzOhUAg3b95EIpHAnTt38OzZMxrxOnPmDM6fP08ju939XyORSDt6fYSpFNkulUohEolgr7gHg7FHTbWyQetgVVWF1+uFx+NBNptFo9EWwkTc8jyPQqFwaE9aSZIQj7cdaYvFInVTPc5EA3FCJfT19aFarf4gnTwPG1ArjIpdT9a2nDUZDDdTh+7TNE3UHIStT/OCM+0ip8MUySml1xLBdUpJjprBDkMqwgFbpOv3eq+SIWKgmXB4I+2o7YswVh7ubSYV3Efec3JmUsc1kiJClqTPWlOKgeeTBU5GUdZ9OIlaMqlEsjp4nodhGHRiyuv19jw/WZapOHdaT9d16rxOWgUBQKTinK7b7KvDF/TRnrSmacLn8yEajaLVaiGbzWJ3dxcsy2JkZITW6eu6jr29PeRyOcTjcYyPj9OMkXq9jmfPnkFVVUxNTdHJN8MwcHBwQJ87JC2bYRj82HsDft25HOMfsx/g/ccfIhAI4PLly6jX63jw4IHjui4uLj8MXGHr4uJyYjQaDSwtLWFsbAySJOH/t/53tjRIADgfPYOzkSlsbm6iXC7j8uXLPaMQ3yYEQcCNGzcwOzuLp0+fYmFhgUZYBgcHcfXqVSiKgoWFBZt49Xq9mJ+fRzAYxMrKCrJZu8gh4lMUxbbTaMLZJMdn+pHP51GpVCDLMrxeLzVryeVyVPRyHIdEIgFJklAoFA6tmRUEAfF4HBzHoVgsQlGUninML4LNnOh7XH99mAnRtvfAcZIiLScgmWLP/ZmmCZXR0OLtExPd9bVO27NOEVvLImtKMoEF49j2J8eUoZpaRw9YJ0bqA441sgeeHJrc4W2wrLBgMV04BUF3vg9XImtoOKTqvywd9ckO4tO6zOm9E2FKIrjW/Trtw7od2ZbUwhJUVe0pVgmkJQ/LsrRe14qmaWg0GmBZFh6Pp+N4XIOHWHOoteVNKH3tkohms0mNo/b29nBwcABVVZFIJDA8PExrgFutFra2ttBqtTAyMoJUKkXv4Ww2i/X1dfh8Ppw5c4YKYUVR8PTpU+RyOUxMTGBubg6yLGN1dRW5XA6ry6u43JqDxNi/IyZMPI48w+kLk4jH45icnMTS0hIymYzjdXJxcfn+4wpbFxeXE+PBgwfgeR4TExP4PL+I1aq9Ro5nePzz0b9As9nE8vIyTp06RaOF3wUYhsHs7Cxu3LiBfD6PTz75hArJcDiM69evIxAI4P79+9jb63SIJaZSAwMD2NrawubmZsegV5ZlmjLIMAzEmPOAPhVIIxwOo1QqwTRNeL1esCyLVCqFUChERS/QHmT39/fD6/WiVCrRiK4TPM+jr68PoiiiVCodGuUlkDRAQj6fRzAYBMuykCSpI/W6Wq2i2Wx+Z6O5uq73vCaH1WfqMLDt3Xd8baw12HM7Gq0VHdKQAQR7RDOBw3u0dk82OaUkJxwMpAzGRJYtU7OkXuJWMkSkm/Y0YpPpbZ7Vi6/TTKo7anuUILXysqKW1LKT7z2JqnIcR3vUHkfUkqhqd+sfVVXRbDbBcRwCgQBEUQTLsmi1WqhWq6jX65AOnCfQct4sao0aFdu6rkMQBAwNDWF0dJQ6JQNAuVzG9vY2OI7DxMQE7euqaRo2NzeRyWSQTqcxOTlJJ8wqlQrN8Jmbm8PAwACCwSBmZmZQrVaxsbGBvr4+3Ji/jn8++FeO56hAwX/z7L+HrMsYHx9HLBbDp59+emj5hYuLy/cX1zzKxcXlRCiVSlhfX8fZs2ehMTr+7cZvHNd7e+ANxD0x3LlzB4Ig4Pz581/zmZ4Mg4ODuHnzJj766CPcunUL8/Pz6O/vhyRJePXVV/HkyRM8e/YMtVoNp06d6jCQmZiYgM/nw7NnzyDLMjWVkmUZoijSQWyDsQsazuAgQkI8LkFRFDSbTVSrVUiSBIZhaJ0bEb2hUAgMwyAej6NYLKJcLsMwDFqba9v/F+0zSqUSFeyH0Wg0sLCwgImJCZRKJaysrNAejYlEAisrK+jr64NpmtQYa3t7GyMjI1hfX4ckSQgGg2AYBuvr68jlcnjzzTcPFRG3bt2i52Z1pbUKLbIMsDveHtVexfoa2RfQFhG9JgYOE7b7nhwU1u4o3KdEEDB80GFvDWTdn2N9LYCA6vwZknM2TdNREDplUZCoLRFoqR79bDNMEWnE6PXtVVc8Wh/AnjcLs8uWed+bw1h9EB7DHiXsxddpJkVq5633Qvf94xRxJctfRNQSEUsirdb9ELFKoqFOEFErSRJUVYUgCB2ZL4qiQJZlCIIAn88HwzDQarWgqiqt/fV4PGBbLOSmBMXbOWlj8DrkaBN8mUcoFEKj0YAoitS9mJxDsVhEtVpFNBpFOp3uMI/a3t6GYRg4ffo0wuEwvS77+/vY29tDJBLB9PQ0FbutVovW2VrTvU/7x3HF8wput+7YrsNBK4Nfrv8N/uXEL3D+/Hl8/PHH+Pzzz3Ht2jW33tbF5QeGK2xdXFxOBGIYNTQ0hL/b+gdU1KptnagYxs8G3sLBwQEymQyuXbt26MDt2w6pu/3000/xpz/9CVNTUxgfHwfLsjh79ixCoRAePnyIRqOBmZmZjmhKKpWC1+vF48ePsbS0hFOnTtFBKNAWH07Clm3yMI3nqaMejweVSgWGYSCRSFARy3Ec8vl82/00GgXDMIhGo2BZlq5PBKXtGCxLtzmK0dFR6LqOf/zHfwTDMJicnMTExAQA4MKFC7h9+zbee+89eDweXLx4scOgStd13L9/H7VajZ7f/Pz8kcctl8sdbZFM04Su69Qd2iq2rJE0J9ELdIqO7t6jveokrRxmGmXCxKbXOUo52hw4dJ/kHJ0ckVmThU/zOG5rPV8nsdctNsm6VpfkPjMEzmShd6VPH7AlEB1u3aY7DdtjSEg149jzdabcm4yJDf8upqvOpkC9SDb6URcaOPDbU/iJmdRIdeiF9tkL63V4EVFrFZWHiVqr8zExZrLW2B7Wo5bQarVgGAZNLTZNEx6Ph24vyzJUVYUkSWBZFtVqlR7T4/HQlkSKokCSJCRbKWx57RMHSkrGZGAKHNuuy61UKojFYrRNWLPZBM/zGBwcRDQapccvFovY39+H1+ulBlFAO4K7vr6OSqWCkZERDA8P02tTKBSwvLwMnudx7do1VKtVPHjwgEayvfsCRlPD2DC2bOf5oPQY/7T/IW6mf4TZ2VksLi5iY2MDY2NjPa+hi4vL9w9X2Lq4uHxp9vf3cXBwgIsXLyIr5/He/seO6/316M/BmiwePXqEdDqNoaGTGYh+k4iiiNdffx0PHjzA48ePUam0+yvyPI+hoSEEAgHcvXsXi4uLmJmZoSl6QDt1+cKFC3j48CGWlpbAsiytPZPRgsHYI3lmFdgt7SKZTKLVaiGVSoHjOOzs7MAwDCSTSSpMWZZFNpttC5W+PjAMQ9MHS6USDMNAOBx2FJIMw/SM6hJ+/OMf039funTJ9rrX68Vbb73Vseyv//qv6b9PnTr10m2BugUrcW3Vdb3DiZYs7zb1IWLCKmS7BS7521pX6SREDxPieaGEukMdaEDzIaaGHV2Srccx4Wwc5Vd9YI+oJjJN07HG1iliC6Aj6s2ZLPqNMPa5ToOmDFuCAaPj2GS77tZBo40B7HuzNv+qPW8Wo/WBF4raAm0zqYbQQNUhNXsnuA+/6kNf68v3LrW+HysnLWpJz9ruFj+iKPZsC0ZEq2EYtARBlmWasWGaJlqtFk1jbrVaME0TPM8jGAzC4/GAYRjU63W0Wi0qoJuZJjiJh+7rTOvWOBUlsYg+rZ2NYpomNjc3oes6fD4fhoaGOhzUiXlUuVxGf38/hoaG6Gv1eh2rq6swTROzs7MdQnhzcxNbW1vo7+/H3NwcBEFAOBxGvV7H2toaAGDu/BxuDtzE/+XJf43dpj21/3e772HAm8LZ9Ayy2SztaXvUc8zFxeX7g1tj6+Li8qUwDAMLCwuIRqPo7+/Hv1n/NXTTLsimQhO4EDuH5eVlaJqGV1555XuTJsYwDM6fP4/r168jl8vh008/pSmrkUgE169fh8/nw/3797G/3zkg83g81FRKURSoqgrTNFFnnPuWJoMpyLKMnZ12uxO/349wOIyRkRE0m03s7e3RAXc4HEYqlUKz2UQul6OiIxQK0agLSVn+LkEiWVYTHKu4IBEs63JrujF5zSperFFcp5TSw1xzDzON2vTtOS4fbQyAZdieQpmmP7MKVM5eQ3pYfa11P07K+bBP22oklTTt6cgao6PA2LMxnNK+vboHyZa9ft5kTGz6na/LYbBgMXWomdT6iZpJHQa57wB8KVELPE9JBtoO5S8qahmGgSiKME0TjUaD1u2SiG00GkUsFqO1uq1Wi9a+q6rarsc3gUAh5HjcXWEHmWwGe3t79P2dOnUKExMTHXW2sixjbW0N1WoVY2NjGBkZocI9k8lgeXmZZm4QUasoCh48eICtrS1MTU3hlVdeod/vg4MDbG1t0f8zDAORFfGvTv1H8PPOTsn//dqvcNDM4uzZsxAEAZ9++ul3tqbfxcXlxXGFrYuLy5eCpJVNT0/jYWkJj8vLtnVYsPgXY3+JcrmMzc1NnD9//lvbs/bLMDQ0hLfffhumaeLWrVvI5XIA2oPVK1euYGhoCCsrK1hZWekYbBHDLYZhUKlUsLe311PYxsR2Cw2roAPaPRxHR0ehKAp2d3fpADoQCCCdTtMWHWS7QCCAeDyOVquFYrH4nRv8kRR2awonaRVCahSJiLXW6pFtrELVKsa6ha8Vp8juYbW1Va6Ogli2LZd0EUm5z3Gb7v31Mo4KHOGITPd3zBpb+polvTjZo852n3Vus+Mkbkfrg45Kes+bgcy+uMHP12Em5fSZWgWqVdRaRehxRa0gCI6i1uPx9HSHJ5FYImqJuRSpsZVlGbVajZ6b3+9HX18fQqFQR0pzrVZDvV7vqJEOBAJtoV3kIKr2KLrKK6h5K0gkEhgcbJuddZszlUolrK6ugmEYnDlzBn19ffRara+vY3t7G+l0GufPn6dpyeVyGQsLC2g2m3j11VfpM9AwDDx58gR3795FMpnEz3/+c4yPj+PBgwfIZDKIShH8y4lfOGYsyIaM/+bZfwcVbUOqfD6Px48fO15TFxeX7x+usHVxcXlpNE3DgwcP2q1mQn78m413Hdd7M3UNSU8/Hj58iGg0itOnT3/NZ/r1EQ6HcfPmTfT19eHzzz/H2toaFQqzs7M4d+4cDg4O8ODBg47BIYmgDA4OolQqoSDnbfvmTR4iRHi9Xmoytba2Rp16fT4fxsbGoOs6dnd36aDZ5/NhYGAAqqoik8nQAbbP50MikYCiKCgUCh0D9m8zRED0ErdExJI6QqtQJcLB+ppTKql1m151tkS89BK2vRyAh5spsHB2FO7eXy/jqKNa/dDzc1juVGNrhQjUhBlxbtvTQ9hatyXCzad7kGzZRbzBmNjqEc0+CmIm5QQxkzpMvB9G92fdLVBfRtQahtEhaslr1swCEoF1goha4oBO0usVRQHLsmg2m/RZQias/H4/vadN00Sz2UQ+n6fPilAohMHBQfh8PjSbTTSbTfTH+5FoJh3PQU62EI6Eac9s4oZuGAb29vaws7ODVCqF+fl5hMNhmra8t7cHlmVx8eJFTE9P04h0oVDA1tYWUqkU3nzzTWp6p2kanjx5gnK5jCtXruD69euQJAmXLl3C5OQk1tfXUa/XMRk+hf/49L/AcGDI9screPH7/Q8Qi8Vw7tw57O7uolQqHfaxu7i4fE9wa2xdXFxemuXlZSiKgsnJSfzT7h+Ql+0D3qDgx8+H3sb6+jpqtRpu3rzZcwD3fYHU3T58+JDW3c7OztrqbhcWFmhPx1arBYZhkEwm4fP7cE/63LZfnxkAA4YOaoeGhpDJZLC2tobR0VE66BwfH8fGxgZ2dnYwMDAAUWyL4cHBQezu7iKTySCRSIDneXg8HiQSCWSzWRQKBcRisW99T2Hq+PtFCqaqqlSkkogtST8+rO622/yI4zgayep+zZpufFhbGEKLlXEg2ScnOIPFYOu5eOgWRN37cqqv5Q0OHv3o+tSe5lHHEH2maUJiRfSZQeSYzp7MGbYEE877Buw1t6P1QRx48ras6B1fBiP1AYjmi/dL/irMpJwmGqyfdXeWRfc6ZL1uUWvtUWsVtWT5Ye18rKLW5/OBZdmOkgXSv5bjOITD4Y5nq6ZpaDabdNKMZVl4vV7EYjH62WiaRo2nqtUqWrkWuCkOutQ5ydVkGyiyBcSMPoTDYRwcHKBSqSCXy6HVauH06dO4ePGi7dk+OTnp+L4SiQTOnTvn+Nprr71mW8ayLC5cuNCx7EbgGm4MX3PcB+Hs2bM4e/bsoeu4uLh8f/h+jy5dXFy+MlqtFp48eYKRkRG0OBn/sPuB43p/NfxnMBUDKysrmJycpLVV33dYlsX58+dx7do1ZDIZW93ttWvX4PP5cO/ePezv76PZbFIDGD7AAQ7a0m+2TVBIq5tIJELdlkkkA2gL67GxMfA8j52dHTqwlSSJGnYdHBzQKI8kSUgmkzBNE/l8viM98tuIVXwCz1M7TdOkA37geRsVALbUZGuN48umJh9WI77l3XeMjA60EhBM/ljR2l7GUUE1cGRrG7KvF01Fput8IexTpt2MSWZUlBwcu61YI7d+3YuEbN+PwRjYeolaW8JYeRhBxdkYaCe4j7yn4PiaE4d9lkTUks/muKLWKl5fVtQ2m03qkqyqKmq1Wsf3ltzj3bWuxWIRhUKBthBjWRbhcBjxeJyK2kwmQyfUFEUBx3EYHBjEKDPheD473BZMmPD7/WBZFtvb29B1HTMzM0gkEt/7CUsXF5dvP+5TyMXF5aV4+PAhAGBiYgJ/s/EbqIZdDI0FhvFqvO366/F4es7Qf58ZHh7GzZs3YRgGbt26hXy+HcXzeDwddbf5fJ6m1tZMuzkPAHiNtmFKvV6HKIrUPXV6eho+n4/WOwPtgfTY2BgkScLu7i4V1YIgYGhoCBzHIZPJ0NREQRCQTCbBMAwKhcK3WtwSEdstNojgIOY5ADpE7HFSk8k2vcyjrKnJvUyjNOjY8RzYT9wERprpjv0SnKK1Tb4FnbXv/zj1tfQcHV5z0LqOGIbRs872sHRk6/ZA+5qN1gcd19nxHkBhXu5eY8FipnT6S5tJ9RKWVsMx8u/jilpyD5KsAvIaqYsFQNvzkMipqqqQZRnNZhONRgPN5vNzV1XV1n9WVVWIoohIJALDMFCv15HL5VAut+u6w+EwfD4fNE1DJBJBKBSiBlM7OzuQZZkKXo7jIElSO5XZ7Idk2jMC6mwNJaaIfD5PU6snJyfh9Xrpc8fFxcXlm8QVti4uLi9MpVLB6uoqTp06hbXmJhYKD2zrMGDwL8b+Egf7B8jn87h06VJPt8/vO6TuNhaL4bPPPrPV3c7OzkJRFDQajXZUBs7CtrZfpwNYa9sglmUxNTWFSCSCzc1NFItt0cFxHEZHR+Hz+bC/v49arW1IRfpOiqKITCZDB9A8zyORSNAeuN9WcUsEabe4ZVm2wzGZDL5JmjHZxsk1Gejsh9vtpuzkmtyrtnbXm4HG2uuVE3IfvIZz71knYdurvjakHd2+hL6/l0xFJiSMiOPy4whb4Lm4DRkB9Du04tFZA9s+e+uW4yLowpcykzqOqCXX8rjuxyRrgNyP5N5RFKVjIqTVatFUYZJerOt6x748Hg8CgQBCoRD8fj8MwwDP85BlGR6PB5IkoVwuI5/Po16vw+PxoL+/H/39/dB1Hc1mE5FIBF6vF+VyGbu7u7QFWDwex8zMDAYHBxGPx1GpVKCqKliwGNCc07jX9Gcoloq0Z/bm5iYePHhAXdpdXFxcvklcYevi4vLCLC4uwuPxYGh4CP963dkw6rXEJaTFBJ48eYLh4WGk02nH9X4oSJKEN954AzMzM1haWsK9e/do5GZwsB3NMgwDjx8/Rlkv2bbnDB7VQg3r6+tQFIX2uyUwDIOJiQn09/djZ2eHOjKzLIuRkREEg0FaFwe0B+kDAwPwer3IZrM0osvzPJLJJERRpJGfbyMcx4HneUehSiJkx0lNJtscpyVQ92vWHrcEEya2vD1a/FiitVYh28uAyikNGQCCRwhb6zl9WWHrZSREDPvxDtjisfdDrtl4w1ksbfv2ob6kk7FpmghpwRc2k+oWo92vkX07Ha9b1ALPa2mtk0FEzKqq2tGnFmjfv4IgQJIkeL1e+P1+BAIBKl4ZhkEwGIQkSXRCptlsgmVZ6LoOQRAgyzLK5TJ0XUc4HEYymUQ0GoUgCKhUKmg2mwgEApBlGbu7uyiXy/SeHR8fRyqVovd2LBajpk4A0G8kIZii7f0rXhmhoSBtO1Sr1RCLxTA9Pe14LV1cXFy+Tlxh6+Li8kJkMu1+hlNTU/goexv7zYxtHS/nwV8O/wxLS0swTdNm+vFDhWVZzM3N4bXXXqN1t8SRFGin9UkeCXWHVOQQG8L01DRNHXaKfjMMg5GREaRSKezv7+Pg4IAOZAcHBxGNRpHNZqlDKMuySKfTCAQCyOVyNKLLsiz6+/up+dK3CV3X6TUgEbHu9j5AO7WaRNiIQQ5gT03ujtBa6257pSZ3YxVJGbGAJifb1gmrQYS1oG052d5JRDlFbEVdgGTYBUc3dH8vWWNrJekQtW0wMmrM8XvGmqaJoO5HXLanNn/ZqC3DMEg2+pGs9zu+Tsykus+n+4/T68Dz2uru9UlWAEkvtkZjyT3TbcTGMAz8fj+8Xi8kSaL3KUlrr9frtAUPyQrQNI3Wz5Njy7IMQRDQ19eHRCJBW/aYpolyuUxFcKVSgSzLVPCaponx8XFbuzXyna/Vau0UZbAY0J3Tx7e5TSiKglQqBeB5yvP3iV/+8pduFNrF5TvIDzMv0MXF5aUwTROLi4vtgUxfAP9+8feO6/3F8E0oFRk7Ozu4dOkSvF7v13ym325GRkYQCoXw0Ucf4datWxgdHQUABINBnD5/CtmGfUAVYEIIBAIIh8Mol8t49uwZxsfHEQ6HO9ZjGIbW0O7s7EDXdaTTaTAMg1QqBY7jkMvloOs6YrEYdWLmOI62/AmFQm3TH78f7733HgzDQCAQoDWBTmiaRqM9HMfB5/N11BU2Gg2wLAuPx0OFAkmVBDpNdAzDoJFWq8mTaZqoVCpoNBodgoDneSpSiaCwClUSMSNCw7pOt2uydbnVdZbsj0TTHCN3DLDZo8XPaKMzY4EImV6i1oCButCwLT9umx8qypwitke0++kmaUSxhG3b8gOmhKB5fEFjGAbG6oPISfY05m3fPoYbKfDmiw9LyHsdKw+jITRQdej9uxPch1/1oc8hHbp7P92fh1WwWlPgyYSGdQLIOqFCBCjw/DOxfi+sx9U0ja7LcRzq9bpNKANtAerz+eD3+22TW4qioFQq0XuXOJ5LkkSfBePj4z2fx5FIBPl8Hvl8HgMDA4jJcWwxGzC4zjpvNaBgIJpGlIuh0Whgd3cXAwMDPa8rIZfL4b333kMqlcIbb7xx5PrfJH/5l39JPQ9cXFy+O7jC1sXF5diQ+s0rV67g77Z+i5Zuj0wN+FK4Fr+MT/74CeLxOCYmnB02f+hEIhH89Kc/xa1bt/D06VOaQlvQc47rB5ggNX5JJpNQFAXPnj3D4OAgrXezkk6nIQgC1tfXYRgGBgYGwLIsraE9ODigdXYMw1C31GKxCMMwEIlEwDAMfD4fSqUStra2EAgEEAgEDnVxtUaDiUAG2uKAvGbtsanrOmq1GorFIu3RSfYlyzJ1hLWKW4ZhaIsfErG17q+7vQ9xlCVRWNISiPwhETeSdmwVsUTEkOXW92N773wFZaFmuy5ezYN+xVlQ9TKgqgsNRwEa+MIFuJcgJudykhxmIHXaOFrQWAlpAfTJEeSlUsdyjdWx7TvAWA+TqcMg9wRrspgqnMK9/sdQOXt9+EpkHb6CDz71ubAj90CvyK11HeuxyH1n7VFLXM2B52nIAGh7KZ7noSgKvaecPnerSRW5B0m/2mg0CknqNHUi7YBqtRo0TaMR4Xg8DkEQoGlah6g9bHKKYRgkEglsb2/TmnxP3IdG0n5Pr+nPEOViSCQSePbsGY0oH8ba2hpOnz6NtbU1NJvNngLb2mrrm8KdjHVx+W7iClsXF5djoes6NjY2MDExAcWnYX8vg9GgvWbuP5z4a2T2M5AkCVeuXDm0jcYPHUmS8Oabb+L3v/89isUinj59CmPE2bCJa/KQWRmKoiAWiyEajWJjYwPb29totVoYHh62DQTj8Tg4jsPq6ip0Xafr9PX1geM47O7uQtd16oZMludyORiGQSO6pJVIuVyGYRgIhUKOn6vf76cmWABQLpcRDAbpID0cDqNSqaBWq9GIE8dxCAaDqNVqdLBLRKkkSbRGkazLMAy8Xi8URaGClAgKEqEly4nYJZMGRPRqmtYhbnmet9XcWsUt+UPErXXQbRVDG74etbWtdEetq9VVuZcI7WUcFVT9hwrX7n06tvt5wYitHx4EDC9qbGfq8XENpLoZrQ/YhC0AbPn2MdRIgTdfvI8yed+iIWK6cAoP40u292mwBp5EnmIudxa8yXcIVqBzQqDb/diaym5dRkStIAh0IsRa8w2ARnPJumQChdyDxJ3YOhEEtE2oSGpyX18fNUYj+2o2m6jX61Q0k+yLQCBA19ne3oZpmpiYmLCJ4m6s391arQaWZTHpm8ZDLEJDZ41w1sigYpQRCoUgSRI2NzcxPj7ec9+qqmJraws3b95Eq9XC2toa7S+byWTw/vvv44033sCDBw9QLpfx5ptv4uHDhwiHw2AYBuvr62BZFufOncPo6Cju3LmD7e1teDweXLx4scPDoVwuY3FxEblcDhzHIZVK4cKFC/T9v/fee9QJem1tDSzLYmJiosO1/5e//CVu3LhB/Q8WFxexs7ODZrMJj8eDkZERzM7O0s/rwYMH2N3dxdTUFB48eABVVZFKpXD58mX6uW1tbeHRo0eo1WrgOA6RSASvv/76D9ZU0cXlq8D9Nrm4uBwLjuPw5ptv0v//7xP/294rJ0EHLS6HQ9Jzw+Ew8vk8WtEa0BUsYDQWq0triEXbUT8iLMfGxuD1erGysgJZljE+Pt4x+AWAaDSKyclJPHv2DOvr6xgdHaWDKpZlsbOzg729PWokQ5ZnMhkYhoG+vj7aEoREdE3TpAPObsLhMI2Okhq/YDBIo66hUAjVahX1eh0+n48uDwaDqNfrtJ8viYiJokhFrGmaVNyS3pyKotB6Q2tqMhGx3anJJEKraRoVwt0iFoBjajJ5T1aRQ/7UmQayor1vqmDwGGjZI+ok8ucUtQN6G0cFVJ9zDx9yr3QLW0fzqBcnaUZQQ6ewrbANNCHDi8MFU/f5hdUgonIIRamzRYzGatjxHmC08WJRYOD59TRNE0E1gPHyCFYjG7b1WryMpcgznClMOop+q1lYr9pb8rf1s3NyECeRWpL5YDUoA0BrZ8nkjlXUWutqI5EIrS0nkzatVoumJZP7OZ1O01pXTdOwtbUFABgfH+8pak3TpBkTpMYeaH9Oo6OjiMViqKkVPNOf2rZd1Z5hUp3uqHvvxdbWFoLBIEKhEEZHR7GwsIAzZ850XI979+5hfn4egUCAPsfW19cxMzODmzdvYmtrC3fu3MHOzg4GBwdx5swZLC8v49NPP8U777xDI+Lvv/8+xsfHceHCBei6jnv37uHWrVv40Y9+RI+1sbGBqakpvP3228jn87h9+zbi8TitG+5GEARcuXKFukt//vnnEAQBMzMzdJ1arYadnR288cYbUBQFt27dwpMnT3D+/Hk0m0188sknmJubw9DQEFRVRS6XO/HsCheXHzqueZSLi4vLN0y1WkUsFsPVq1ehSfYBckzqQ6I/gXw+31HDBwDJZBLnz5+HLMtYWlrq6H1JCIVCmJqagizLWFtbo4PwUCiEkZER6ppKIkuhUAjpdBqtVotGb4F2DXBfXx+azSYVuN2wLItYLEZFoCAIqFarHYZPoVAIgiCg0WjQdE2SQklamVhrE0m/XuI6a+1dS1IGrc6zRNw6tffpbglErgURt9aU5u6WQN3ROqtZ1aZvz1FwDjaTYM3O1kCHue4SnCK2Xs1zZA1q9z6/rCsy2d+X6WfrRK+U4y3/HnQc37Csl7txupVEqpFw3KbsqWAz6GwMRFKLSR9aa9qw9Q85Ns/z1N2YRN44joPf/zyyToydeonaQCAAwzBoD1uS1UCOXSgUkM/nUS6XIcsyGIZBLBZDOp2m52sVtSQ6CqBnpFbTNORyOaysrGBra4v2yOU4DmfPnkU0GsXe3h5M08QIPwYO9ij6gb6Hh2sP6CTTYaytrVEvgVQqBVVVkc1mO9Y5d+4cUqkUAoEAPedIJIKzZ88iGAxiZmaG9ts9deoUgsEgzp49C0VRqIP7ysoKIpEI5ubmEAqFEI1G8eqrryKTyaBafW7KFw6HMTs7i2AwiLGxMcRiMWQydiNEwtmzZxGPx+H3+zEwMICpqSl6jQmmaeLKlSsIh8Po7+/H6OgoDg7a/axbrRZM08TQ0BD8fj8ikQhOnz5tm4h0cXH5crgRWxcXF5dvEMMw0Gg02qYyPgANu+gIcxFMnD6NXC4HVVXx4MEDzMzM0EFRKBTC/Pw8Hj16hKWlJUdTKb/fj5mZGSwvL2NtbQ1jY2MQRRF+vx+jo6PY3NzE7u4u0uk0eJ6H3+9HOp3G/v4+MpkM+vv76YCdYRjk83kUCgVEo1HboJbneUSjURQKBfj9frAsS81wiEmUNUJrGAY8Hg8Vt81mk9YikuUksqsoChRFof8n0TBrNIu0+7FGaLvrbkVRpOKFpDpbI7TWulurcY81Mgi0B7MKFOxI9kExYzIYbj6PAHWns1r/bRWkGqOjybds+wsofrruYWnMHefgsMzE8bcn9Ba2JYwZzlGunufEMIhqYUSUEEpiZ9RWZTXs+DIYaRyvPZj1PZDPh0xOTFRHUecbqIr2GtHd4D4CFjMp4ijsZApG7gFyX5DrT4QtuS9JirvH46HtcMj3hUT8rcIZaE+gWNtqWWt+PR4PfD4fFc/dLamy2SxUVUU6naYTPIqiYHt7GxzH2TI4SD1uoVCgbb8ikQgEQUAmk0EgEMDMzAztj3v37l3kcjn09/djmBvFur7a9UECGDFxMXnxUFFYqVRQKBRw48YN+jkNDw9jbW0NicTzyYdo1H6PWZ9jLMtCFMWOZaRmuNVqf19KpRKy2Sx+9atf2fZVq9Vom7Tu56PH46H7cGJzcxNPnz5FvV6nz41uUer3+zuWkfuAHC+RSOC3v/0tUqkUkskkhoeHXYMqF5cTxhW2Li4uLt8g9XodpmnC7/ejpNpTWYG2I3Kj0YBhGJiZmcGzZ89oKh+pp/N4PJifn8fS0lJPUymv14uZmRk8ffoUq6urGBsbg8fjgdfrxdjYGDY2NrCzs4OBgQEIggCfz4eBgQHs7e3h4OAAiUQCPM/D5/OBZVnkcjnk83nEYjFbWxOv14tAIIBarYZIJAKO4+h7IK1GiOgl4pZEnLxeL1iWRavVQqPRoGKY4zg6WLRGmEg9rqqqUFUVsizTKBKJ0JLUZKtIIW7KTqnJ5DXifkvEe7eRkGEY2PYewGDsKcVpuR9exgMTvdvJWOttCTWh7qhIj3JEdhKrvWpsX1TYhkwfPKaIFqN0LH/RiK11QmCsNoCFWMW2zpZvD0PNFDiwHdscZ99ERBKmi6dwL/4IyiFmUiHT3obJKmjJvkl0n2QDWCO7xJSM4zi0Wi1q5NRoNHoaUnk8HnoPsywLWZapuAoEAujr63N8n0TUapqGgYEBKu56iVrDMFAul1EsFtFqtSCKItLpNKLRKHZ3d5HJZJBOpzE+Pk7vc7/fj/7+fuzt7SEWi2GMH8emvg4Dnfd5SSygYdQRj8d7fi5ra2swTRN/93d/17GcZVlcvHiR/t+p1tQpEmxd1h2tJ9Hrubk523ZWQ6gXMabK5XL49NNPMTs7i1QqBUEQsLm5ieXl5UPP1fodY1kWb731FvL5PPb397GysoIHDx7g7bffps9wFxeXL4+biuzi4uLyDULq2nw+H4qqs0jYWdpFPp+nkY7r169DkiTcu3evI52P4zicOXMGQ0ND2NnZwcbGhq2GU5IkTE9PQxRFrK2t0To+SZLowHZnZ4dGGjweDwYHB2GaJg4ODujgnrQSMU0T+XyeRqCshEIhiKKISqVCha4sy6hWq3TA5/V64ff7qVEOWS5JEvx+P+3tScQKEbEkNdnao1YQhI5BvjU1mQgIIkJ6pSY7bWNNO7ZuyzAMGI7Blte5B+toM03Xszoud0d8u6OENdHe5gcAgtrhA2CnlNxeqcjHMXWzim6WYZFyiNoWmCoUOBue9YK814gaQlixvyeFU7HrOXCscSXX0UlEOP1b0AVMFU45CnxiJqWYSkcfZOtnBTxvPwWgozcyWZ+cI2nZYzWU8ng88Pv9CIVCdEJHEATE43EEg0H4fD5IkoRWq4VWq0WzE5yil0D7Hs1kMjZRK8sytre3wfM8FbWyLGN/fx/Ly8vY29uDKIo4deoUZmdnEQ6HsbKygkqlgunpaZw6dcp2TUdHR+nxWI1DsBqynY8JE08aj7G352ycZhgGNjY2MD8/j5/97Gcdf7xeLzY3Nx23e1mi0SgqlQr8fj+CwWDHn5c1acrn8/D5fDh79ixisRiCwSA12XoRGKbtPn/u3Dn89Kc/pc9aFxeXk8MVti4uLi7fIMTl2OfzwWQMxKS+jj9JKYWA1I58kkiq3+/H9evXcerUKRwcHCCTydB0RVEUMTk5ifn5eSpGSV0a+RMIBDA3N4dkMolyuUzrXAVBwNjYGARBwO7uLq3XFUWROipnMhm6viiKSCaTAIBCoWAz0GEYhg7QK5UKfD4fNZeyiltyTpqmoVarUTHO8zw11Wk2mx11t+S9EtFBtmFZlkZ8NU3rqOHlOI6mnHbX0JL0ZRKZswpfEhW21tYSUbMnZqGwdmHXp4Th13w28eMUoSWQ9aq8PXWWMRkEVN+R29u26yFsX6adStJ0EFsMkOHK9uU9sEapWYbFeGPYcb1N/y50dPZxtZo6dfeWtU4akPXJdyJqRnC66uzY2+JlPA49hWE+n7ggkVhVVTsmSIDnkx/k/iG15D6fD4FAgJ5HJBJBIBCA1+uFJEl0gkYURdpKi7wXUjtL0uH7+/sdPxtd15HNZqHrOgYGBmgdaqvVwvb2Nv3+NptNbGxs4NmzZyiXy+jv78fs7CxOnz6NcDiMQqGApaUlcByHCxcuoL+/3/HaeDweWo7w8OFDiBmP4wTBprKOcrPkuI+9vT0oikLLI6x/BgcHsba25rjdy3L69GkoioJPPvkEhUIBtVoN+/v7uH37dk+jtqMIBAJoNBrY3NxErVbD8vLyCwvSfD6PR48eoVAooF6v08nDUMg+WeDi4vLyuKnILi7fc9577z1EIpGOlC8r7777LqampjA1NQXA3ubA5atldHSUmqq8GfyJ80pjzot7faYA0N/fj+np6UOPPTbW3rGu67hz5w68Xi94nsfo6Ci2trawt7eHZDJJTZ0GBwext7eHTCaDeDwOj8cDnueRTCaRyWRQKBQQi8U66sxIvW0+n0e9XqfGKeVymTomk9o54phcrVbpMYljMqm7tdbjEsHu1BLI4/HQ1ORWq0VbApEIbXcNLRHLvVKTAXRE8EzThGEaWPNsO1/b1vNWWNboLIkAWyO33YLUyRHZr3rBmExP46degreXK7JVYB6G9dwSesRx1JBhixjSe6eiOkGEW0wNI6T6Uel6zzKn4sCXw1Crs37XKk66xa71XLsdiOO1GCpcFQf+TsMi4LmZ1KnmmKMxmNWMjKQ6kwkTkgJvnWDpbtsjyzLq9TokSeqo7SQpwqT2vNlsIh6PO0YWSeTUNE0MDg7S2sxms4nd3V36/VlbW4OmabR23loDbxgGtra2kM/nkUwmMTExYSsh6D4miUy3Sx0u44F6DxtylxhlgMCEc5r86uoqksmkYy3p0NAQlpaWaH/rk8Dr9eInP/kJ7t27hw8++ICWOKRSqWPd704MDg5iamoKd+7cgWEYSKfTOHv2LB4+fHjsfQiCgFwuh6dPn0JVVfz/2fvT57jOdMsXW3vvnOc5E0NiBgEQIAASIiVRI4+GM1V1nL4+rvbtdnTfuA7fDof/AH/yH+Ev9nWHw+1o293tut19pqpzTlWdKlEDRZGSSJAAiXnORM7zvEd/yHpf5sZOUJRKVIml9xeBADJzz5mUcu31POtxOp1YWlrSjSliMBi/O5zGssYZjD9ovkrYttttmEwm+mWKCdsfJr/4xS/gcDiow6qqKhKJBOr1OiKRCA1dURQF6XQa7XYbwWCQ9sUSN0mSJPj9fkMSa61WQ7VahdfrhdVqhSzL9Aut2+2mX7BVVUW9Xocsy7BarbTUEuimvZISQDLvFnjS/0iEam8Cbe8okt5EaSJezo4E6t0e4awbSJbJCgXc924YrqVLduB69TI4PBGuZx3S84RlhxNxJ3Lf8HysEcZUdYw+JqNkCH37azkOj517SNozuud5jccf5V+mYUvnfQ04u00VGv6T9QNInL7sPKL68CP5FZ2Afxpnr2PeUsKaf9uwnE2x4NXiZfDgDW7b2fer17HvfZ28xwDAm3is+TdQNdfQj/naLCJSSJeWbbVadeKPOLikMoDjOJrIrSgKnE6n7rN/nqhVFAXVahWapsHlcqFarcLj8cDn8xmOS5Zl5HI5aJqGwcFBKhIbjQbS6TR4nqfOsd/vRzgcpv8uCWR2bKfTweTkJK20OI9qtYrt7W2IoohQKIRcLoeVlRXIZhm/qvyDYfmoPYa/nPwXT90mg8FgPG9YKTKD8QOHuG6MHzZ+vx/JZJL27JJ+Xq/Xi2w2S5NbBUGgo0Xy+Tzt0RUEAZFIBFarFcVi0TB2iIzwqNVqUBSFOrkcx+nKock4IBISRdKUga4wdbvd4DgOrVZLN6rHYrFQx7W3lFgQBJ0AOTve52mlyb2BUSR8qneZY0f/vsLR1iAdFktE81kH8WxJM+G8+bUe2d233JZwXmnyeanIT1uvl96eVhMv9C1HznMVyL8d0dNPXBtc5DNOdVD0defznqEtiEhZc4bjPDt66ezsYfI8udkBdD87Jt6E+eoMLEr/ESsbrm1UtCr9jJy9edJqtSDLMg1WO/t+CoKgcybJ55fMqSbIskz/Pfn9ftTrdYPwJUiSRJ1av9+PRqOBbDZLKyrIuQ0PD2NhYQGjo6MGUVsqlbC5uQkAWFpaeqqoJT2xDx8+hNVqxWuvvYbFxUWYzWYcHR2hdFqCtWw3rKdozz6iicFgMJ4X7Nssg/EDQNM03Lt3D0dHR+A4DpOTk1hYWADHcYZS5LOsr69jf38fb775Jnw+H3K5HNbW1lAqlWCxWDA0NITFxUUqjnd3d7G9vY1mswmz2YxwOIzr169/l6fL+AbEYjG02206zzYajYLjOAwODkIQBDrP1ufzged5xGIx5HI5FAoFKIpCyy/D4TDy+TzK5TI0TaNfsknfYT6fR6VSgd/vhyAI8Pv9qFQqqNfrsNvtNLmUjDmp1+uo1+v0cW9pMgnqIaXJvaNXRFHUlY/a7XbqtimK8kylySSgikAEMAA0LW0UzGXDdbQqFkTbQZoeS7Z1nrgj2yV/V/v01wJPEpF7hdvZx2dfA85JRcaT/fY6n2fp93xU9SHB68t5VU5DDmUMcEF9sNaZ9c91hsFhrDGEdd+O4bVDRxKxdggm3qRb/2zo1nlilzj4BLNqxmx5GmuBDWic/nhUTsUj7xYuFxfgMD8Rrr2uf6/YBaBL6AZAhW9vojepdgC6QrVarcJkMtGSfI7j4PV60Wq1aPkv6fElN1M4jkM+n6c3SSRJgsViwcjICDweT9/3SlVVerMqFAphamrqqTcxW60Wtra20Gg0MDU1hYmJCXpzZ2RkBLu7u9A0DRemZrEGY1UBg8Fg/L5hwpbB+AFweHiI8fFxvPPOOyiVSvjiiy/gcDgwOTl57jqapuH+/ftIpVK4ceMG3G436vU6Pv74YywsLODq1avodDq4d+8e7t27h2vXrqFYLOL+/ft4+eWXEQwGIYqiLrWX8f2lV8SenJzQgBqO4xCNRiEIAg2uCQaDupAbImLJF+xQKIRisYhKpUJHGQHdfttAIIBcLkdnSpLyyUajgUajAUmSaAgPCdqp1WrU+SKC1OFwQBRFtFotKiCIs0j6bkliMhE9FosFgiCg0+mg0+noZoOS8T69pcm918ZsNkPTNBokdGDt31s72hmEWTDr+jTJMZBt9f4+G4TUz7HlVR42ydpXLJ8VuGf/5rk+hVkcwPEcLZU+S+82z5YARzRf328Oaa6IAS1oCD3qV+rcmzxMiMohHEhJNMz6tNm2qYO0NY/BToSW3J49pt5rSa5nb6r12de8mgfTjQlsu/YM59ExdbDt38dyYwEAqMtPPnO9+yJjqkgoW7vdpq5uq9XSiVpFUejr5LgKhQI9l945sOSGjKqqtBLCZrPBYrHQECOv16sTnobz6HRwcHCAVquFycnJp/aYapqGdDqNg4MD2Gw2vPzyy7QkWtM0JBIJ7O/v05tTy9PLqOSKOG4d9d0eg8Fg/L5gwpbB+AHgcDiwvLwMjuPg8XhQqVSws7NzrrBVVRV37txBuVzGjRs3qOu2sbGBkZER6u663W5cvnwZN2/exMrKCprNJkwmEwYGBmh673ljKxjfT6LRKEwmEw4PD6EoCoaHh6kTKwgC0uk0VFVFOBwGx3EIBoP0S7qiKLS8mMy2rVarUFUVLpeLikufz4dyuQyO4+gMR6fTCbPZjEqlgkqlQsdzkNLkZrNJ54MSgUGEar1eR7PZhNVqhdlspq/1zhklz5PSZFLKfPY1ALTs+KwbSgRuC22krXnDtRM0HnExRpft7WElooqERwFPBCoVX9BQsxiFrUty6kKgyPH09u6eDVXq/d0PVdPA9ZzXsybGhjQvBI2HcmZub0Yog1P6u9AE4g6fdV6JCz7WGMQj365hn8euUwzJMWjqk3M9bxu99D7f6+zyPI8hcQD1dgOnNuOopqK5hD3rAYYrg3Q+bW+vt6IotNSehJxpmgaTyURn0ZIbJcVikbqu5PPQGzRFxK/JZKKfZ1EU6Xie0dFR6rJWKhUkEgl4vV5MTk6e+/5WKhUcHh7CZDJhcXFR5xifRRRF7OzsoFQqIR6PY2Zmhu6v0+ng0aNHyGazGB8fRygUwueff45isYhL3iUmbBkMxvcOJmwZjB8AgUBA9yUoGAxia2vr3C+zq6urEAQB77zzji4IpVwuo1Kp6GYPki+wjUYD0WgUDocDf//3f49YLIZYLIahoSHWw/uCEQwGYTKZsLe3h+PjY8TjcQiCQMVqMpmk5crEceV5HrlcDqqqUkeXlC2Xy2UoigKv10udL1VVUa12+xk9Hg/tTwwEAjQx2eFw0DJjIiAajQZNTSbOFxG+nU4HiqLQdcxms640mTwmx0CWV1WVjvshwoc8D8AgRI9tKUMZKwAMtiLgJA4qrxocX+DJDFSy3bNlym2+A5nvMw9YdukEce/xnOeIkt99DvO3r6ngwH/l2J+zpcoCBIQ1H9JcUbdclitD0RRwmtFJ7leWDMAw+zgmh3Eon6Jh0ru2TaGNlCmLWCdEj6l3271OOnn9rHtLrgcJWQKAeHsQtWAdNaux/PvInoC1ZcGgNkBTvjVNo+Xv5LPSbreNs41/e0wcx9GgNJKE6/P5qEPqcDgwMDCguzadTgenp6cwm806UVsul5FIJOD3+zExMXFuT/Xp6SkymQwCgQAuXLjw1P/25vN57O7ugud5XLlyBZFIhL6WzWaxvr4OADRMUNM02mry8ssvY8g2jGS7f+UCg8Fg/D5g3zYZDIaBaDSKk5MTpNNpOooG6H4RnZiYwPT0tGEdh8MBQRDw3nvvIZfLIZ1OY319HY8ePcK7777bd9wD4+koivLUcRzfJvl8nrqqAOD1ejE9PY3d3V0cHh7SL9lerxc8zyORSCCVSmFgYAA8z9PnM5kMNE1DMBikbivP8ygWi9A0jc7wdLvdMJvNKJVKKJVK8Hg81LEKBAKo1WpoNpu0NJmIBJPJhFqtRntyiSB1Op3ULWs0GtTVFQQBNpuNjgQiYphsj5SadjodGhjV67YSkULEqMKpOLH0CY3SgJH2IADQctnekuZecdXrOvaK0oqlf1qvR3bptnF2W8ATMUeep9vt02Pb3ciTMuWvErdniWl+pKEXtjKnIK9VENK8fc+b7KdX1JPj7hXPE+041lxbhn0eOZMYUqLgOf2163VlicMP6N8DnSuuPUnD5sHjQmkSD8OPIQnGWcS7/kM4i044mvZzy5+JWyuKIv1ck+oBr9eLcrlMk8LdbjdUVUU2mwXP87SPndBut3VOLTnmUqmEZDKJYDCIsbGxvqJWFEUcHh6iXq9jbGwMQ0ND5zq6sixjf38f2WwWkUgECwsL9L/Psixjc3MTiUQCAwMDuHr1KnWrOY7D4uIiPvzwQ2SzWVzyLTFhy2AwvlcwYctg/AAoFvVfQguFAu1v7MfQ0BAGBwdx584dcByHkZERAN0ETzJ79DzIF7ZoNIr5+Xn81V/9FbLZLIaHh89d50VD0zRsbm5if38f7XYbLpcLFy9eRDwehyiKuHfvHjKZDGRZht1ux9zcHMbHxwEAzWYTDx48QCaToaFLV65cQTAYxPr6Ok5PTzE1NYWNjQ00Gg385Cc/QaPRwP3792kfXiwWw5UrV6hg+5u/+Ru88847CAQC0DQNf/M3fwOXy4V3330XAGjK6Y9//ONzzymXyyGfz2N0dJR+LtxuN2ZmZrC9vU3FLUkmHh0dxfHxMU5PTzEwMABBEOjYnlQqRQNrBEGgPbP5fB6FQgE+n4+Wd4bDYZRKJZTLZTidTtqPS4RvtVqlpclElHq9XtTrddrPSFKPyWgW0q9Lgn7OliaTslHi6hLnTRRFGs7T68AR8aVpGo7NKUh9XNWoFIKHdwE8qHAi2yAp0ORx7/Z63b7aOcFRjo7dIAj70a8EWTjn3zjpsSWcLe3t5awAj2g+oM/9loxQRlQLGJ4/WzpMjvGsm6hpGqKdIPZsNjRNbd1rDVMLWUsBMSlMHfXebZJycrIdsk9BEHSvkZAwoBsE5RJcWG4t4Avnat8wqQ3fNi6XLgHd0G7DOJ9Wq4VWqwWz2UwrDwDQfnFFURAKhWg7R6lUgizLGB4e1t20arVaSKVSsNlsGBkZMYjacDiMkZGRvu9/tVrF4eEheJ7HpUuX+qYrE0gbislkwksvvURbCoDuSC4yZ/XVV1/F8PCwYX/RaBSTk5NIp9NYji1j1jOHvJiH38paThgMxu8fJmwZjB8AzWYTq6urmJiYQLlcxu7uLpaWlp66zvDwMDRNw927d8FxHOLxOGZnZ/HrX/8a9+7dw/j4OEwmE6rVKjKZDK5cuYLT01PU63WEw2FYLBY6juJpQvhFZGNjA0dHR1hZWYHL5UIul8OdO3dgtVqRSCRQrVbxxhtvwGq1ol6v0y/SkiThgw8+gN1ux2uvvQabzUaDlwj1eh2JRALXr1+nbuGtW7dgMpnw9ttv04Tr27dv48aNG7RnNZvN0jJeANQpMpvNyGazCIfDTz2nsbExPHjwAKIoYmJigpZfOhwOzM7OYnt7G/v7+xgbG4PVaoXD4cDY2BiOjo6QTCZpX7XD4cDg4CBSqRTdr8lkgsPhQDQa1Ylb4sCGQiFUq1U6v5bcdCGjqEjfLREVxBkjybNkfihJwCWuGREcZJ3zSpPJTFIyj5SUqxoCmTjg2N5/xM9Y+8ncZ7LNXkFHZp/SbQE6JxEA6hZ9CS4AmBUTrIpFl2RM1u0Vx/1ELcdxfVORAUCF3jEmYrGXs/2wZNtR+MFpnEEIZvkyONUY5NTL2TCn3nJqsuxYcxiPPcZe2z3bMUJtP1TlyTbJjQhCb1lyr+sO9J9BCwBexYOJyij2fIeGfbaFDh67trFQmYXH7dE5wkS8OhwO2ivee50URUE4HKaOZ71eR6PRQDgcNojjVCoFu92OkZERuo9isYjT01NEIhHE43GDyCQlzalUCl6vFzMzM+dWxqiqiuPjYyQSCcRiMbzxxhuG7blcLgwMDPRdv5eVlRX69zvu979yeQaDwfiuYMKWwfgBMDo6CkVR8Otf/xocx2F6ehoTExNfuV48HgcAKm6Hh4dx48YNrK2t4YMPPgDQdTDIcmazGclkEo8fP4aiKHC5XHjllVee6iC8aCiKgo2NDbz11lsIhbo9fy6XC/l8Hvv7+5BlGT6fD4FA17kiDiQAHB8fo9Pp4N1336VfbM+KflVVce3aNfplOJ1Oo1Kp4M///M+p63Pt2jX84he/QLFYRCAQQDgcRi6Xw+zsLLLZLKLRKGq1GvL5PAYGBpDL5TAzM/PU8/L7/VhcXMTjx4+xubmJyclJuj+bzYa5uTlsbW3h4OAAo6OjsNvtsNlsGB8fx9HREXVuLRYL7HY7hoaGcHp6SssdTSYTrFYrYrEYCoUCisUiXC4XLTP2er2wWCwol8u0NNlsNtMkZZKM3BseRYRvrVajfbekHNXlcqHVakEURSiKQoWMIAg0NVmSJLo8cXUtFgtEUaSuKwmRMplMSJvzaAltw7XzSm54RCcUTjFUQZBZucRh7BVevSNqVGh9E5Hdsgtm05Mez97f/Z4zuK3nZEIpqgqh58VekdkrkvuNAxIgIAQPcqjonk9zRaiaSoVnrzN9VnyS373in1yPISWGAyVhuNZ1UxMZUx5hJUCddnI9iSgmIr93PrGqquh0OtA0jd7oIMiyjHa7jQhC6NhFJKynhmtVsVWRErLwKT66Tr1ep6X1vWKy0WjQUWdkdA/QFdXkc93738Nms0n7bePxOP385PN5pNPpc0WtJEk4PDxErVbDyMhI32V697G9vY1Go4Hp6WlMTU091flnMBiMFxUmbBmMP3Bu3LhB/+6900740Y9+pHv8k5/8RPc4Ho9T4Qp0g6jeeuutvvsKh8O6/f0hQhzYjz76SPc8mfE6Pz+PTz/9FOVyGdFoFENDQ1QAl8tl+P1+3Rfrs5DAJAIJUSIiE+j2v5IyXSJsDw4OoKoqcrkcotEobDYbcrkcfD4f6vW6LhjmPNxuN5aXl/H48WNsb29jdHSUplqbzWbq3B4eHmJkZAROpxMWiwVjY2M4Pj6mzi0ZyzM8PIxkMol0Oo1gMEhLg8PhMC0xliQJXq+XphWbzWYUi0WUSiW43W4qSInQrdVqOleX9P0SN8xqtdLrR7Z3tjSZjAQiDi3ZztmkYZPJREWTJEnYdx73vW4TYpyOZyGu51mBSxxcjuPoMr0OacPUhMoZVSjprwX0Tm+vc9vrgpLf9PVz3muO5yDgyQiiXkHbu63zQoqiqh85QS9sO5yEglqFH/17gs8eW+9Ynt6AKQ7dXttHTuNc2yPXKYa5AVpGTdbvTR7ufS/JmB3g/Bm0pKLgouxG3dRA+cx5AcC++RA+zQN/00fT38nnlpwLCUNzu91wuVy00gDo/ts3m830vwVAVwRnMhk4nU6aPg50g5uy2SwN3zv7HtTrdRwcHEDTNCwsLNDRPP3ep1QqhcPDQ9jtdnqTkYlaBoPxhwoTtgwGg/E1IA7M66+/DrvdrntNEAQ4HA78+Z//OdLpNNLpND788ENMTk5ieXn5mYKgvkmCdDgchizLKJfLyOVyuHTpEux2OzY2NuDz+XTzNL/qvKxWKxYXF7G9vY2DgwO02206A9NkMmF2dhY7Ozs4OjpCPB6nvbBE3BLnlojK4eFhZDIZ5HI5eL1eOuuWOLSFQoGWJlssFl1pcq1Wo0KB4zjY7XZamlwul+FyuWjgk8fjof2OxNXtLU1uNBpotVrUle3tu5UkifbX9iYYk2U0TUMeJVTMxh5Yh2JDTA6B4/WlwYA+hbdXKJKZuL0zWWt93Fqg219L3pt+CcP9/tb32Pb/zHH8+WXKvZztZSWc12ebE8oIw6frd+0tNT7bZ3z23wQRoyHRB5vNgrYg6l6vmRrImgqISEG6vfP6j0k/Ncc9fQYtDUcCh4X6HO64vuwbJrVqXseCOIuQPagLWpMkCbVaDZqmIRAI0O2RSo5isUhL8Yl4rdfryGQycLvdtJdV0zTkcjlks1kMDQ0ZZs9qmoZsNotkMgmPx4OZmZlzb5J1Oh3s7OygXC5jZGQEMzMz9FpLkvHcGAwG4w+BZ49BZDAYDAZN+W02m3C73bqf3tLdsbExvPLKK1heXsb+/j4A0PmtnU7na+2v2Wyi2XzSf0mcTo/HAwCwWCzwer3Y2dmhIi8UCqFcLuP09PQr+2sBYGdnh+5DEATMzs5iZGSEOj5EPPA8j+npaXg8HhwdHaFUKtF1RkdH4XA4kEqlUK93RaDJZMLg4CDt/83lcrrwnlgsRufgNhoN6rr5fD74fD60220auAN0nWO/3w+LxULn1xKIgFcUhTq75JhdLhfMZjNEUUSr1aICi4RYEbFJxNDZES5HdmOJKgDEm935qoReIUIE7Xmjg0iwkdlsRtPa6rt9t/SklL030bdX1PXO6z0b9MSd49mqUKmwJoFKvSnDZ69B7/nxPI8BLth3uxm+3FfU9pYbk5s3vddKVVVaHq6qKgROwHg7btwBgF3rEURJpMdJytzJDQtZlukop7M3AhRFQaPRgKqqcDqduuqIZrMJpSFjvjoDvo/oVzkVO6F9WN1Wus1Wq4VyuQye5xEKhej2yI0m4kqTec9AN6Qpk8nA4/HoRC1xaoeGhgxjgEiScTKZxNDQEBYWFs4Vtfl8Hvfv30er1cLKygouXrxI953JZLC6utp3PQaDwXjRYcKWwWAwvgZmsxkzMzNYXV2l4zVKpRJ2dnZweHiI9fV1JJNJ1Go1VCoVnJ6eUgEaj8dhs9lw69Yt5PN5GhSVz+fP3V80GoXX68Vnn32GUqmEQqGAu3fvIhwO0z5eoOvaHh8fUxFrtVrh8XhwcnLyTMKW53k8ePAAhUIBAGga9uzsLCqVCra3t6nTw/M8JicnEQqFkEwm6To8zyMej8PlciGTyaBQKFDHLBAIYHBwEJIkIZ1OU3FvMpkQjUbhdrtpeTIRgU6nk5ZQl0oluo4gCPD5fHA6nWi326hWq3Qds9kMn89H05HJOsS1s9vtOnFDXjOZTFQYkSAlUqpc1xpIm3KGa2ZSTRhsRyDLMu3lJdskAo70CfeODeonGKt93GCbYoVDcFDxazKZYDKZdL25vfT2BdMEaKX/IFtZkXWOMaDvzyXXgZxD7zEIggAHb4Nfcxm2S/psyXH0jtw5O9qHiGgS6kSum9VqhdVqRVwehE01ireqqY6yrUbdd3J9ewO1yHtKxB8Ru61WiyZ4E4Gtqirq9ToNghqyD2Jenut73Vp8G1/wq1A1lQaeOZ1OhEIhur1Op4NCoUDDo0wmEwqFAlRVRT6fRzabhdfrpWXGJAQql8shHo8bApyazSY2NzdRr9dpwnq/RHtZlrG1tYXNzU0Eg0G89tpr9N++LMtYW1vD/fv3zy1dZjAYjBcdVorMYDAYXxPilpCRPMRFnJubQ7PZxNraGhqNBgRBQCgUwiuvvAKg+6X9zTffxIMHD/Dxxx9DVVU67uc8OI7Da6+9hvv379PALjLup5dIJIKdnR2diA2HwyiXy88kbC9dugRZlrGxsaELoyEu1NlQKY7j6KzNVCoFWZYRiUTA8zyGh4dRKBSQzWbRbrcRjUZpH2M8Hkc6nUYmk4HP56NlxsSFLRaLEEURfr+fiqlQKET7FXvLqp1OJ8xmM32NuLJkrm6j0UC73dYFTpFZuSTkhwg30qcJgCZCEydz33bSt1l1TBqE0+akIlhRnoRH9TqzvaL2bPowx3FQoKIuGEuRe/trybJnIWKO7PPsz1N7bDl9bytZh4QynXU7CeTcoloAJU4vyBtcGxWlATfsut7Zs27yWSeXvAe98BqHsdYQNp37hmPYd5wg1gxTR5qI+d6Ztr3XnDjBJNyMIMsyGo0G7eMm4jQuD6GgFHFqSxv2nePzuN96iFFxGH6/n25P0zTU63XUajXYbDYEg0EquvP5PBKJBCRJQjQaRSAQoJ+LVCqFYrGIkZERXS+8pml0PafTidnZWZ3D3Au5+aQoCi5duoTBwUH63pVKJTx8+BCSJOGll16io8d+H/zsZz/DhQsXcOHChXOX+elPf4rXXnsNQ0ND5y7DYDAY/eC0fs0zDAaDwfhBQUKx9vf3sbOzg2AwiOnpaZ0LtbGxgWazqQuVIm5TMplEIBBALBajQqvRaCCRSADoOs+9AiCfz1OhGgwG6TqSJNFyZa/Xq1un0WigUqkYZoYqikKDe+x2u064dDodKlycTqcuaKnT6egcXeIoEmELAB1NxD85b0E5E+zEaRzeabwKm/bEUTxbJgyAuqykxJmIxl6BVzZV8SDw2PCejFfjiLeeCJReAdrLefOoAeDEksK6wxjC9Hp1BW7VaXi+t2S6V5ST53r3vc+n8KH5oWEbbymLuAB9Si9xZ3v3Qa71WfFMrp+iKFCg4tPgPYi8sS/0WmMRvo5H1zNqNptpSjG52UBcY4vFoivfbbfb6HQ6MJlMdNYy2X+tVoOkSNiK7KFsMoZJAcBLymWMmbozvhVFQaVSQbvdhsfjgc/3pM+42WzSqoaRkRE6GkhVVaRSKZRKJYyNjemCpRRFwfHxMUqlEgYGBs51aVVVpSO3SLI5+fyrqord3V3s7+8jGAzi5Zdf1o0l+iry+Tw++OADOh7o2+BZhC3phX+WTAIGg8HohZUiMxgMBoMKmcnJSVy5cgWVSgUPHz5Eq9Xt/bRarbh06RICgQAODg6QSqXoOgMDAxgbG0OpVMLh4SEVGk6nE5OTk7BarTg9PUWpVKLrhMNhxGIxdDodpNNpiGI3JMhsNiMWi8Fut6NcLqNSqdB1XC4XgsFuaFCpVKLrCIIAv98Ph8OBVqtFg3zIcZMk2Hq9Ttch44KIeO4V1qIo0vWPLacGUQsAA50wBJHXhSsRAUV6doEn42R6S357RbQgCOf213pVj87t7S3vPTsyp9cRfZYeWw36UKdeUU44K9RJXzApsx7kQ323neFLOhFOArp6y7R7bx6Q5XrLvxVF6SZlW2yYEkf77mfLfABJkujMY5fLRWcW0zFKv3VseyGlx51OB3a7nfbNA92xPOQzF/QH8TJe0t286OW+8BAVrXtDJZ/PQxRFhMNh+P1++r5VKhXk83kqtsm/J1EUcXh4iHK5jPHxcZ2obbVa2NzcRKVSwczMDCYnJ/uK2kajgQcPHuD09BQzMzO4du0aFbX1eh2fffYZDg4OsLCwgBs3bnwtUQsABwcHmJqaQi6Xo8fdj94Ar2+Ds+nVDAaD8aywUmQGg8FgYGNjAxMTE7BYLIhEInjllVdw//59rK6uYmZmBoFAAIIgYGZmBg6HA8fHx2i32xgdHdUF5+zt7WFvbw/xeJzOlR0dHUU2m0WhUOjODI1EIAgCTTUmpcmBQABOpxM8zyMYDMJqtaJUKkGSJPh8Phr0RIKxyuUynE4nnRVMSpFJr67L5aI9oaQ0maQm22w2KhYsFgsVcMRdlWUZGqdh337S93pNSN1gIyI2SW8nKT0lZdRkVFCvOCWzcwlVU824Aw3wKG7DKB8ABhFxnqjgOO6pPba9JdFk+d4E595e3n4lyW444NbsqHF60ZNCkYZSEUi/7tlQKnLs5FhIb2zvvkekQexajgyubcVSQ8vdQVjTB1kRN16WZeqYS5JERTAJDyOJ3gSSqt1bEWAGsCIt41PzXWic/loqUHBL/QwLhTk4THbaT0vOp1gsotVqwe/3IxAIoFAoIJ/Pw2w2I5VKQRAEzM3N6UZ5FQoFnJycwGazYX5+Xvda7/mdnp7i8PAQTqcTr776Ku3j1zQNx8fH2NragtPpxDvvvKPrxX9WJEnCyckJ3n33XbTbbRwcHODixYsAuuOIbt68iTfeeAPr6+uoVCp488034XA4sLq6SvuL3W43FhcXEY1GDdu+ffs2Tk9PYbFYMDs7i+npafr62VLkZrOJBw8eIJPJQFEU2r4RDPYPMGMwGD9cmLBlMBgMBprNJm7fvo3Lly/D4/HA5XLh1VdfxcOHD/H48WOMjo7SBNeRkRE4HA5sb29je3sb4+PjsFqtcLlcmJ+fx/7+Pg4ODhCJRBAOh8FxHKLRKBwOB5LJJBKJBGKxGE2yHR4eRj6fp8LX7/eD53m43W5YLBb6mtfrhc1mg8lkQjAYpOE9ZCQQCR4iCczVahVOp5O6eC6Xi5Ymk/mlVquV9r2ScCTiMh7gBB1eNFyrsBJAgPcBVn1gEwBdEi8RihaLBaIo0hm2vYIPAKqCUdg6FQdMPfN0zpYhkxAm4mz20uvmnufY8gIPE/fkK8DZ5OCnzbEl29Y0DVE+gBqX1L1W4RqoyQ3YYTWI1LPCllw34gSfdSY1TYMiKYhjAHtu4xzhXesRwu0g3RYJ8QK6zh9xSsl72mq16Gert/S4Xq9DlmXdjRKg66yiqmHKMY4dj7HXt8m3sBc8xB9Z34Lpt+9Dp9OhgXCDg4NUnPr9flSrVSSTSXi9XoyNjekCrE5OTlAoFBCJRDA5OdnXtex0Otje3kalUsHY2Bimp6fpcu12G+vr68jn85iamsLi4uI3Gh8GACcnJ3C73fB4PBgdHcXq6irm5uZ0n4eHDx9iaWmJ3lBqtVoYGBjApUuXwPM8Dg8P8cknn+BP/uRPdNd0a2sLc3NzWFhYQDqdxurqKtxuN2KxmOE4JEnCBx98ALvdjtdeew02mw3lcrnvCCoGg8FgwpbBYDAYePnll/HJJ5/gs88+w8LCAgYHB2EymXD58mXs7e1hd3cX9XodFy5coKFYNpsNGxsb2NzcxNjYGLxeL0wmE6anp5FKpXB6eopWq4WhoSE6T3ZiYgKJRALJZBKhUIgKjEgkAqvVqivpJMIzFouhWCyiVCrB5XLRGaJkFi5xbz0eDw0h8vv9qNfrVMQ6nU5wHEfFdKfTQbvdRqPRoCKRCB2O42Aym5CwZvpeq/H2MP27VxwJgkAdWlK22+uAkqCq3nE6IiS0TMbxT07RoSub7k0TJvs9m2Lc72/TeSWdPM6dY9tPhPZLcgaAiODFLp80PF8w1zAleHXP9Zas9gr0fn22pCyZLB/XBnDsPIXE628K5IUS0koOrpadbo/MUD5bDk1GSRFXHeiWitdq3RsLZJYygQSM2Ww2LLguQoGKfRwaz9VUxLr2GEvaAur1OsrlMiwWCwYGBqiwlGWZOo48z9NANQDUEW2325ienjY4nIRsNou9vT2YTCZcvXpV51im02k8evSIBtT1E4lfh4ODA4yOdkvAY7EY7X3vDbdaWFjQ7cdqteoSly9duoRkMonT01OdIxsKhTA3102ddrvdyOfz2N7e7nvMx8fH6HQ6ePfdd2l/9FfN5GYwGD9cmLBlMBgMBux2O27cuIEvv/wSDx8+RLVaxYULF8DzPKampuDxePDgwQM8ePAAc3NzsNvtcLlcWF5exvb2Nvb29hCLxej8zcHBQTidThwcHNDSZIfDAYvFgrGxMWQyGeRyObTbbYRCIZpkbLPZkEqlkE6nEQgE4HA4qJAmJcaiKNKRPkTE9ApfkoBMRrrUajUoigKXy0XdQ5vNBpvNRufaqqqqS0kumMuo8sYRPC7ZAXfTgSaa1OElLi0pa+2dLQsYXc9eJ65mMqYhA4BX7gr+3iAlsi2O43Sjj866xLr9nSNeNRhTlHvHH5Ee0X5BVb37ifNRAMbgq7RQwhSG6fXoHS1EttG7P0Dfj0sgYVAcx2FSHsWmZc+wrz3rEVakblL5WYeSjHbSNE3X99xsNmlZsslkgtfrpe+Lqqo0jMzj8dCbIsvaJZTUMkp82XAMG+oWTHUBnqoLXq8XoVBIFx6VTnfTlcfGxpDNZpFIJDA7O4tyuYyjoyNYLBYsLy/rnE2CLMvY29tDLpdDLBbD/Pw8PRdJkrCxsYHT01MMDw9jZWXl3Pm2z0q1WkWxWMRrr70G4MkYL1KFQSABcgRJkvDo0SOkUim02236ue2dNQ3AUEIcDAaxs2MMOAOAcrkMv9//O58Tg8H4YcCELYPBYDAAdB3Fa9euwe/348GDB6jValhaWqJ9t6+++iru3buHBw8e4MKFCwgEAjCbzbh48SISiQSOjo7QaDQwNjYGs9kMr9eLixcvYm9vDwcHBxgYGKBlxgMDA7Db7UilUuh0OohGozS1Nh6PI5PJIJ/Pw+Px0PAn4tAWCgUUCgXqsJlMJip8SWmyx9MNXiLCl4wEslqtsNlsVMQQ8eFwOOisU1mWsWUxlp0CwLQ6DrvNDlEUad8mCVMi2yJltaRMmbiFsizT0Ciy7779tQD88OrcQ+CJ8CPvVa/7eV6frdon+AoARFnUCUjCWee6X3lwLz64YIcFLehLttNaAYqqD7rqvU6aptGQrrOjenieh9VqNZTijopD2DMdGVzborWCDiQ4tSeikMwWJn21Ho+H3rxwOBxoNpvQNA02m432pwJdcVatVsFxHO3zBrrXuFatYbI1hrXw474l6o/sm7hhfwNhd5iuUy6Xkc/n6agrMo7q8PAQOzs7qNfrhgTyXsrlMra3t6GqKhYXFzE4OPjkvItFPHz4ELIs49q1axgdHT23dPzrcHBwAE3T8Hd/93e653mex+XLl+njs8dL+mBJebIgCLh9+/bvFCzFQqQYDMbXgQlbBoPBYFA4jsOFCxfg8/nw6aef9u27XVtbw+PHjzE8PEy/TMfjcbjdbmxubmJzcxPj4+M0HGp2dhYnJyc4PT1Fs9nE4OAgeJ6Hz+eDzWZDIpFAIpFAJBKhX4gHBgZQLpdRKBTQ6XToTFC73Y5YLEb7bj0eDxwOB90eKU0uFou0NNpkMsHv96PZbKLVatERL1arlQofspzNZkNBLqFgKRuujVWzYFiJQTA9CUIizlSn04EkSVRoA6Aittet7O3H5TgOZUfVsB9e4+BSjM4dgfStAqDnQkqTz5YP45xWREHgYYa5r8t7Nh25H71Ob4wP4IDTz3vNo4qW0oaNt9Lj61cu3Stwe93ZXlRVhSiKkGUZQ4ji0GUsfd4y7eMV8TJNtSYutt1uh81m0wn2ZrOpKx0nycnNZhONRgMWi4WGlQFdkVwulyGKIqL+CPxmP36tfAgVZ0K8OBV3uC8R1kIwqSZks1nUajWEQiHEYjF6XuR61Ot1Xe96L4qi4OjoCKenpwgEArh06ZJujM/Ozg4ODg4QCoXw8ssv93V6vwlkfNDS0pKhNPjWrVs4Pj7W3QjopVAoYGxsDMPDXadekiQ0Gg3DHG0y+qj38XnlxT6fDwcHB+h0Osy1ZTAYXwkb98NgMBgMA5FIBO+99x6sVivu3LmDVCoFoFsaevnyZczMzCCZTGJ9fZ32gvp8Ply+fBk2mw07OzvIZrN0TMzIyAgmJiZQq9Wwv79PS2ltNhsVwcSlJev4/X4MDg7S/sR2uw2gKwyi0Sjcbjeq1SrK5TIVYg6HgwZWlUolug7P83C5XAiHw9TNbTQahtmqAHBgTfS9JiOtAWjyk+WIE2mz2ajoaLfbdJRMb4gTCbayWCy0hJnnedRMxnJnp+SELMq60TdnBTGhN7WYjA8iAtFms8Fqthi2DwCcwFM39mkuX284FikTJk4oObaI4uuzA6BoqdN5pGeFLBGXwJO+WBLyRSAlw81mE7Isw2KxYI6fgkkz3pPPCHkkmym0Wi0aFOb3+2G32+k2RVGk+wyHwwgGg3QkT7lcRqPRoCOlevtfScpvNBqFx+NBSAjiJeGy4RgAoK7VcbP5MY5PjtFsNjEyMkLL8wHQzz+56UFCxXTbqNfx4MEDpNNpzM7O4urVq/TzVavVcPv2bRweHmJxcRFvv/32tyZqASCVSkEURYyPj8Pr9ep+hoaGcHBwcO66LpcLyWQSpVIJ5XIZd+7c6duXXSgUsLm5iVqthp2dHSQSiXPn2sbjcdhsNty6dQv5fB71eh2JRIKGczEYDEYvzLFlMBgMRl+cTif+6I/+CF988QUePHiASqVC+27JF9/V1VU6Esjr9dJ5t4eHh0gkEtSVEgSB9szu7u5ib28Pg4ODtFd2eHgYxWIRmUyGliabTCZawpnJZJDNZuH1eqkwJb13ZIyK3++nY3ZCoRBNRpYkifbqAqD9tbVaTVdSbDKZoFmBE/Op4VoIGo/hdhRtpSuUSY8jGU/DcRwsFouuBJaUKZPlAOjKettcB6JgLAf29oz56XV7CSScCnjinJJ9nHVfz59jq3dd0edxbx8sedxbpkwex7Uo7mDTsI8UihjDAABjGBRxnWVZBsdx1DkHQK8fuV5nw6AmlRFsmYyl4sfuFK6rK4byVVVVqVNPRjuRY/B4PCiXywBAqxLItajX66jVarDZbDqxK8synHk7YrYI0o6s4TjSWhYWpwU3wm/qSpmz2Szy+TxNRM7n8zg9PUUsFoPT6YSmaUgmkzg6OqLVEcTJ1DSNli+7XC689957uqCmb4v9/X3aFnCW4eFhbG1t0et1luXlZXz++ef4zW9+A6vVipmZmb7l7hcuXECxWMSjR49gNpv7usMEEob14MEDfPzxx1BVlY77YTAYjLNwGstMZzAYDMZT0DQNOzs7ePDgAXw+H5aWlmCz2QB0S2FXV1dRKpUwNjaGoaEhKkDy+Tx2dnZgMpkwMTGhK6U8PDxEsVhEIBBALBbTlYkmEglomoZIJEJHpWiahkKhgHK5DLvdTufqAl2hl8/nIcsyLU0m6zQaDVSrVWiaBqvVSkfAaJqGUqkEs9msC5Hath3i0GksdZ1QRnBZuajrwyVOZL/QIuJMdjod3Tgh4tRxHIeMKY8HzkeGfS00ZzEo6ZNxSdoycWVJqfF5acVEeBbNFdx1PTS8vlydRUQK9l2HOOZk/ivpjT0PVdPw/9R+DhH63teY5seP1es6cUMcayKaSYkpcfCJ6CSu89n9qqqKutTAh+47UHhjufS70mvwolsqK0kS2u023b/b7YbNZkOpVKI3OiqVCr0xoSgK/H4/fb7dblO3knymW60WCoUCeJ5HOBrBR9otZNVc3+vyjuttTFrHIUkSEokEms0mhoaGEI1G6flvbGzAZrNhamoKOzs7qFarGB8fx/T0NP030Wq1sL6+jkKhgAsXLuDSpUus95TBYDD6wIQtg8FgMJ6JfD6P27dvQ1EULC0t0XTT3p6/s0E4rVYLGxsbaLfbiMfjdB1N05DP53F8fAy73Y7h4WHqEsmyjGQyiUajgUAgAJ/PR4VFo9FAJpMBx3EIh8N0HVVVUSqV0Gg0YLfbdWJEURS0Wi00Gg0qSM1mMyRJoj29ACBDxt/xv4HEnXGZNOCPpTfgwpOST1JKS4QlCTw6O7pGlmVaDk1EG+HQnUDClTJc59dqV+FUHbrniLAlpb0EUhJMxHqv0NU0DUWhjLueNcM+LjcuYkAO60qRe0t2yfxdUlLdz8HrFdf/wN1FgtcLPF7j8C87fwSrYDEcNzknsn0ipomgPRtY1euEA8ChJ4kDu7FkfEiJYbk5h3a7TftoSZ8t2WatVqPuscvlos5nLpfTjVgKBoP0ZoymaTSV2+FwIBqNQhAEtNQW/q75j2ihZTgWE0x43/JHqCdr4DgOExMThl7ScrlMS5MtFgsWFxcRCATo66enp3j8+DHMZjOuXbt27iggBoPBYDBhy2AwGIyvQbvdxp07d5DJZDA9PY2JiQkqiLLZLB4+fAiTyYTZ2Vla1qkoCvb29pDNZhEMBhGPx3UO7e7uLhRFQTwe15WC5nI5migbiUR0Dm06nYYoivD7/XQcC9DtTyyVSnSWba/jR0Kems0mdQiJYysIAna5Q9zjjQ5quBPA5focFa6ktJW4v6Ioot1u08Ris9lMU31FUYQoitTh7h19c9/zCGVLRbcvQRXwSuYyODwp9e0tO7ZarTrRR/pe+4UuAUCRL+MT+5eG519qL2BQ6S+SSCAVcWx7Bfl5DvFD4QD3zMaRLX/Bv4FhXh8e1BsGRRxsm81G3xPSF6tpGiRJQqfTgaqqdEyT1WqFxEv4B9OHUDj9zQJowLXCJQRMfvr+9CLLMnXwSeI28NvU41oN5XKZlrn3fn4LhQLa7TaCwaDuRku9XsduYQ8PA4+hccbrYpWteK3zMmbGL9Dy9d5jOTo6QrlchslkwhtvvEE/J5Ik4fHjx0ilUojH41hZWel7c4HBYDAYT2DClsFgMBhfC1VV8fjxYzx+/BjhcBiXLl2iX7qbzSZWV1dRq9UwOTmp651Lp9PY29uDzWbDxMQE7T+UZRkHBweoVCoIh8OIRCI64ZBMJsFxHKLRqE4gFgoFVCoVOJ1OOkYI6DqOuVwOqqrCbrfD4XDoRIUsy8jn8zCbzTRQSDAJ+MT7JRq80Xl7o3MVzqaNCldSgux2u3ViUlVVtNtt6tCScCYyVqYXDRp+7foEMqcv3w1IPixX5w3za8m59c5+7RW4pET5bI9tia/gY/sXhnNaac9jUI4aUpTP9tuSbff+3ftD9pdGEf9V+dCwn5f5i7jKzwIA7Tsm52CxWKCqKsxmM+x2O2RZRqPRoKOMiDtL0qrPCruH/AZ2hEPDPuPqAK5zL+mek2WZ9tmS60bcWlVVUSwW0Ww26VggUi1gMploUFE0GjWUxheLRXg8HjTDLXzcum04FgAYsQ7jnwX/HDz35P2qVqs4PDyEpmkYHR3FwcEBJicnMTU1hUKhgLW1NSiKgpWVFYyMjPTdLoPBYDD0MGHLYDAYjG9EKpXCnTt3IAgClpeXqfulKAo2NzdxcnKCSCSCyclJ6rbW63Vsbm5CkiSMjo7SMlBN05BOp5FMJuFyuTA8PEzdVkmScHJygna7jVAoRMOjgK5AyOVydJYtEbCKoqBer6Ner0NRFFgsFjgcDhoa1Wq14Pf7wXEc2u02DuQT3Hc+NpxjUPPhHfU1AKBzUMk4HEEQ+gou0l9LRgEB+hmuHMehwbfwieuOYX8TnRFcECcN22u32zRJudf1VRQFgiAYypzJfmrmBm57Vg37ma9OYaATNjxPxCoZgcTzPBWjZ8V5L4qm4N8pfwflzAicYYTxp8o1KlIFQdD12ZIUY6fTSfucicgmIV9ny5LJDYSqVMPt4H2oZ5xSTgP+BDfggQvtdhutVouWoDscDjidThocFgqFkM/noaoqwuEw3G43rRao1Wr0pkQsFtOFR6XTabRaLUSjUYRCIXAch0/qt/G4YwzRAoAV12W85n0FqqoikUggl8vB5/NhZmYGFosFBwcHSKVSGBgYQDKZRCQSwbVr16iQZjAYDMZXw4Qtg8FgML4xjUYDt2/fRrlcxuzsLOLxOBWdyWQSjx49gt1ux+zsLO1XlGUZ29vbKBaLiEajGBwc1I1D2dvbA9Ad9UFGmWiahkwmg2KxSMf2EMHT6XSQTqchyzKCwaBODGiahlarhVqthk6nQ/djtVppqSkA/Er7GDkUDed3tbOIcVNcd76qqsJqtdLyY9Jfe7ZMGAAtez0rPLP2PLZ9xtEpy815xJSI7jlFUSCKIp3X2wsR272BTL0/Vb6OOwFjeNSlxgWMKIM655Vcr3a7DZvNphNy7XbbcH69PbaqquLv+NtIc/praNIE/MvODVjNVlqe3Qu5hsQtJq4zz/O6EnMAupJvUpa87TzArnBkOL9hKYbZygRUVYXFYoHT6aTzbIHuZ6ZUKgHolo7HYjFdv3Ymk0Gz2QTQHWMVCATAcRyazSbS6e7M3pGREd3nM1fI4TfSR6haaobjAYAbjjfBn4KO0+kdA1SpVLC21u2FXlpawoULF546honBYDAYRpiwZTAYDMbvhKIoePDgAXZ3dzEwMID5+Xkqimq1Gu7fv49Op4Pp6WmEQiEAoKNNDg8P4XK5MD4+Tt1WSZKwt7eHRqOBaDSKYDCoEwCpVAqCIOjEiKIoyGazdBapx+MxJOpKkoRSqUR7NklKcsVUwy/xseG87IoN14vLEHiBJh83m024XC5aRi1JElqtFi0/JmW1JpOJBg719uaSnw3rDhJ2Y3DU1cwSrKqlb3+t3W43zJ0lyc9kNu5Zqlwdv7EZS2SXxYsYU4YMz5NAJ7Iv4gqTUCWyTL+vDvfNe3gg7Bme/xfmdxDjA7rnSLq0oih0VBIZ6yNJEqrVKmw2G8xmMzqdDn3PTCYTDYPiOA4ttPEz/Boqp3eKOQ240XoVYXuob29rrVZDu92GxWLB8PCw7iZJJpOBoigYHByEKIrIZrPweDzgeR6FQgFOpxPxeJxuV5ZlnJ6eolarwRv14kPhUzTUhuE68BqPV1ov4aXpFV1JcyKRwNHREU2HvnHjBsJho5vOYDAYjKfDhC2DwWAwvhWOj4/x+eefw263Y3l5mTqisixjbW0NmUwGg4ODGBsbo0KiUqlgc7Nbvjk2Nqab25lIJJDJZOD1ejE4OEjdvk6ng0QiAVEUafkoWadSqaBQKFAh6Ha7YbVaqRjMZDK0vJSkJK95tpG25A3ns4IFTMgjNGyKiEq3220oP1YUhfbXkvJgItJ63U/CLetdlIWq7jmrasFbtVdpqTP5IUFKvf+7Js4mmQVL9nfW5atxDfza9qnh3JbFOYwpwwbXlfS/nlfaTAQ36R/udXyP1Az+WvrIsK83hCVcMV2gJdqkr5nneZjNZsiyrOuRBkBLhclxWK1WQ6800BXZn6urODQbRzRNcqN4VVgBoA8Oa7fbNIVYVVWMjIyA4zhUq1Xk83lYLBbE43H6HhcKBWQyGaiqilAoRMf1AN3U75OTE6iqirGxMfh8PqTFDP5L7q+hwjiOyGvy4n8Y+VewC3a0221sb2+jUqnQET93794FALz33nsGd57BYDAYT4cJWwaDwWB8a1SrVdy6dQvNZhMLCwsYGBgA0BUWR0dH2NragtvtxszMDHU9RVHE5uYmqtUqBgcHdcKhVCrh8PAQJpMJ8XhcFx6VSqVQqVTg8XhonyPQFWW1Wg2VSgWSJMFsNsPlcsFisSCbzcLr9cJut3fH4Yhl/Ay/Bs5UfZphxl/gfZi5riDtdDqo1+t0+2edw15EUUSz2YQoilSA9s6wBQ/8wn7T4DJG5TBeEpd0z5FSY5IUTMQnKd89T/iSfTWFNj7yfG54n2Zq44i3Y4bnyc0Ds9lMxasgCDRQqZ9Ip+etyfifxb+GBv3XinHE8K6yQvtsSRK12WymvdDEYe/tiSXncJ773m630el00OLauB1cNaQSc+DwI7wLod0tIZZlmX4WnE4nJElCLpfDwMAA6vU6arUafD6fbq4yEa4kOIz0f3Mch1KphHQ6DZvNhsnJSfp5BoBHjQ38unyz73Uas4/iLdNrONg/MIz4KZfL+Oyzz3DlyhVMTU31XZ/BYDAY/Tl/4jqDwWAwGF8Tj8eDd999F19++SUePHiAUqmE2dlZ8DyPsbExeL1erK6uYnV1FTMzM/D5fLBYLLh06RKOjo6QSCTQaDQwOjoKk8kEv787tmVvbw/7+/sYGBig7t7g4CDsdjsymQw6nQ6i0SgVZD6fD16vF61WC5VKBaVSiQpQIt44jsOecIQ+xhri7RgUTobZ1v3fJBGpwWAQnU4HjUYDtVoN9XodNpuNlh8D3bRfi8WCRqNBHVwijACgbmpAdRh36lFcdJ4roXeE0Hk9l/V6HZqm0XJnRVGoE6uoct91eIGnY456y57JeB0ipAnErZVlmZ4n6R0mv1VVRZDzIM/rRxidagVIstQ3DIr83Wg0IEkSddPJHOJSqQRJkmhpd6fT0YVBuVwuRBwRZFHCrnao268GDfdaDzFTG4fD4UAgENDdiCDCmbj45LNFzq1cLuP09BR2ux0zMzNot9vY39/H0dERTCYTqtUqwuGwrpQZ6Ipua8qMmBpB2pk1XPvD1hGkuojr0Zdx8eJFnQvt8/kwNDSE9fV1xONxnVhmMBgMxtNhji2DwWAwvnU0TcPe3h5WV1fhdruxvLxMw6NEUcSDBw9QKBQwOjpKHTCgW/a5vb0NQRAwMTFBexFVVcXx8THy+Tz8fj8GBgZ0rloikYCiKHC73fB4PIZSYVEUcXJyQrdlsVhgcpjxc9MHkKEXf5zG4Y8ar4Jvg5asiqJInV4CGU/TbDbp2BqHw0HFSL1ehyRJNGmXiM4jUwIbduPM1/nCBfjFbrI0EV1E6NrtduqgnoUkNfdL0G2ihX+wGMfwLMqzmFbHDM+TUmGScE2Omcye7R0NdBae5/G5aQtrvDEU69/Y/hRB3mvYV7vdptsiicW97my1WqXhWCSdmZQl94rUutbA3yi/NLjFnMbhn5v/BF6zx7Dver2ORqPbCzs+Pk7fW1VVcXp6inK5jHA4rJu7XCgUcHTUDauKx+OGXthKpYLDw0MAwOT0JH7Z+g0SbWOZNAD8i7G/xCX/vOH5TqeDjz/+GGNjY7hy5UrfdRkMBoNhhAlbBoPBYDw3isUiPv30U0iShMXFRSoENE3D7u4u9vb24Pf7ceHCBepctdttbGxsoNlsIh6P68KjiLCwWCwYGRnRhUfl83mUy2UoikJdP5KsS8YCxWIxSJKEWq2GTW4PO05jou4EP4I3TN0RNc1mk46gIem6vT27QFcItVot6jryPE/nsgKgybmE+6Z1nAhGsfNe403wypPAJuKGnldmTIQuEZ4k8KmXFtr4e8tNw74uyTO4oI4b+mvJMfcTr/1GAfX22gLArpzA34qfGPb3jvklLJmnaDgVGYVERiBZLBY6+onsnzjjoihScX9W+ALdGwzNZhOf8w+Rshkd0jlhCq9YVgwJ2WT8T71ex9jYGBwOBzqdDk5OTiCKIkZHRxEMBul2CoUCTk5OYLFYqHM9NTVFe3VPTk6Qz+cRCAQwPT3dde3lBv798f8HdaVuOC4zb8a/vfC/Q8weNbx2cHCAra0tvP/++7rrwmAwGIzzYcKWwWAwGM+VTqeDO3fuIJ1OY3JyElNTU1QY5nI5PHz4EDzPY3Z2lgZBqaqK/f19pNNpBAIBjIyMUPHUbDaxt7cHWZYxNDQEj+eJG6eqKmq1GorFIlqtFgRBgMfjQaPRAMdxiES6o3QUTcF/bv4tWmgbjvdHpncQ5LslqZIkoVAowOFwQBRFSJJEBRFxUXsRRRGNRoPOZyWijYhAQRBw0/Iparxe6DhVB96R3tA9RxxhUpZLxO7ZHwC0/xZ4Inw5joNsUvAr1y3DOU43RjHaHDQ8T86HjObp/QG6PaBk7mw/WloH/7fWXxn3h2G8rSzRPlvSn2w2m1GrdcfjBAIBKIqCVqtFXWiLxUJnD7vdbt14HdKPS8KgNBeH39hu4eyXGh48/lh8E0pdhqIosNvt8Hg8NNzs6OiIuvGnp6cwm82YnJzUObgnJycoFAp0LrMoilhfX4emaRgcHMTp6SkkScLExARisdgTJ7lex52du/jCaewBBgC/xYf/w8z/BIfJrnteVVXcunULDocDb7/9Nhv9w2AwGM8AE7YMBoPBeO5omoaNjQ2sr68jGAxiaWmJuq2tVgurq6uoVqsGYZDNZrG7uwur1Yrx8XEaHqUoCg4ODlAulxEMBhEKGce6tNttlEol3bxSr9cLm82GXfkQH4qfGY4zIHrxcnOJCtdqtQpZlunMURIi1Ww2afIySevtFR9EEJNjJSicgtvRe4awqgEpiivSJd04n3a7DVEU4ff7nyps2u02Go0GrFarruRZVVW0tQ4+Cn1hWOdCexwz8rguIIrjOFqaS0qRz0JEp9vtpmKa7Iv8/l/4D1Hm9MLdoVnx3yt/BLvNbuizJa6sxWKhNwQcDocufbpUKqFer8Pv99NwLkVRYDabqeDleR4fiZ9hTzG68COtAbwkLMHj8Rj6VrPZLOr1OhRFgd/vx/j4OD2+druNg4MDtNttTE5OGhKRHzx4AEmS4HA4cPHiRSqGe8f4uN1uYIzHP2R/2feaTrkn8a8n/yV4Tu+253I5fPnll3j11VcRj8f7rstgMBiMJ7DwKAaDwWA8dziOw8WLFxEMBvHZZ5/h008/xdLSEg2Hevnll7G5uYm9vT1Uq1VMTU1BEAREIhE4nU5sbGxgc3MTo6Oj8Pv9EAQBk5OTyGQyOD09RbFYhMfjQSAQgMPhAMdxsNlsGBgYoGOAVFVFLpeDYBLwwPPYIC4BYNk2D6tiRa1WQ61Wo+N9iJixWq2wWq3w+Xw0QKrVasFkMsHpdFLRRpb3eDw0/VdVVeS0fN/92poWVJoVeq0EQYCmaeB5npbNEgF6lrNJxr2IkPq+H2aLCXaz3fC8pmm6bfSK1t4QrEqlYphlS45vkAuhDL2wbXIdmHxWOPgnfcCk3JjMqBVFET6fD06nU3cM5AZCo9FAsVgE0O3HJfOEe0X/Aj+DPfnIcI2T9izecrtg5a10myRYrF6vg+d5RCIRxONxXSI3KXtfWlqiDi/QFbVbW1uQZRk2m432Jtvt3TE+W1tbqFartEKB53kU1SLu5I03GXZre/jV6a/xx0Pv6Z4Ph8MIh8N48OABBgYGzk2jZjAYDEYX5tgyGAwG4zul2Wzi9u3bKBaLmJmZwejoKBUTqVQK6+vrsFqtmJ2dpYFIsixjZ2eHloMODQ3pxvvk83nkcjm0223YbDYEAgFawru9vU1Fb6vVwk5tH7csXxqOy8958d/Z/5Sm/+ZyOciyTPtrXS4XHA6Hzm0kJbH1ep26jSQhuVarGeazbnN7WOc3Dft+Q3oZXtmjE5C96ca99Pa3Eqe12Wz2nfMqQcZfCb8w7G9OncIlbcbg8HY6HTo+6OwsW7JP8rWBlGL3lioDwGPpAD9rGcuf/9x2HfOWCciyTGf+kmtLXPFe8UZGHdVqNVoCrqoqPB6PwVEWRRG1Wg3NZhNrri1kbAXD/pcsF3HVskxHQXU6HVitVgQCARSLRfh8PoyMjEBVVSSTSeRyOQSDQUxPT+uSoNPpNA4ODmCz2bC4uAiXy4V79+6hXC4jFoshnU5TMUxSlgFAVhX8+93/gKPGseHYAOBfjP2vcMm/oHuu0Wjg1q1bmJubw/y8MWiKwWAwGE9gwpbBYDAY3zmqquLhw4fY3t5GLBbDwsICFQ/1eh33799Hq9XC9PS0LnDq9PQUh4eHcDgcGB8f16Ufa5qGWq2GbDaLcrkMQRBgs9nQarUwMjJCRd/Pav+EY9kY3nQNy7jkmAXHcRBFEZlMBuFwGIIgoFwuo9Vqged5OJ1OuN3uviFG9Xod9Xqdzpe1WCwwmUzUcf3S/BBJPqVbj9M4/DP1jyHgiTgkJc/k3EmwExG9vX8DoKKP/M1xXHdEDq/hZ44PDOc63hrGVGPE4LqSda1WKz3uXiENgDqdPp+vr4NcVRv4n+vGPts5jOJ1ZYGO6iHl3pqm0RsWVqsVkiTRxGJVVeFwOOD1euFwOFAoFFCtVhGNRiEIAprNJur1Oh3H5PV6obg0/LfW3xv2L2gCrhcuw6ya4PF4EAwGqbufyWRQqVQwMzODw8NDNJtNjI+P0xJ0oCued3Z2UCqVEI/HMTMzQz8DrVYLt2/fRqfTQSAQwMrKSl+HtS7V8X/d+neoSjXDa2bejP9p+n/EgEM/X3hrawtHR0f40z/903N7mxkMBoPBhC2DwWAwfo8kEgncvXsXVqsVy8vLNDxKlmU8evQIqVQKAwMDur7HarWKzc1NKIpC+2tJ7y1BFEXk83mk02lomgar1Qqv1wvRLuOn9b8zHIdVs+CN4gpMvAkulwuSJEGWZYyMjFBhI0kSKpUKqtUqVFWFzWaDy+UyzHzVNA25XI6m+RLnFQDuhlbRMYm6fXsUF96SruvEI+n5DIVCT71+xFktFApUiMqyTF1YWZXxm/Adw3oTYhyX5BldibMgCCgUCrqQpn6Qkm6bzQar1aorVSYC/D/xv0Gda+nW82pO/Ev+XRocRa6ZqqrIZrP0urfbbQiCALfbDa/Xq3OhydgnAPS62u12+Hw+KlIB4JeND3EgG53Ri5jGW/7rBme7UqkgmUyC4ziYzWbMzc3RzyLQTUTe3d0Fx3FYWFigIWRAt0eXBEn5fD7kcjlcvHgRIyMjfa9fopHE/2Pn30PWFMNr/cKkZFnGxx9/jHA4jOvXr/d/UxgMBoPBemwZDAaD8ftjeHgYXq8Xn376KW7fvo35+XkMDQ3BZDJhcXERfr8fGxsbqNfrmJmZgc1mg8fjweXLl5FMJpFOp5HNZuF2uxEOh2n5MRkfQ1KVW60W0uk0Nj37gNV4HEv2ixgbGaPCFQAsFgst8SWCJxQKIRAIoF6vo1KpIJ/PQxAEuFwuOoqmtx/X5/NR8dlUmgZRCwCOjh3lapk+JgLeZDKhXq9T17TfHFvizJLXzgpSVTPOmyXn5rTqlyXiu3cfVCD3OMRklm2z2aRhUwCoODabzRhGGJuqXlhWuAYsPjvsvF60tVpdAVyr1WCz2RCNRmkYVO+xNZtNVKtVWiJttVoRjUaN5deShIlWHAdmo7Dd4Q7xuvAyzDBD0zRUq1WUSiWamu1wOLCwsEC3Kcsy9vf3kc1mEYlEsLCwQKsEZFnG1tYWTk5OMDAwgJdeegk2mw3379/H48ePaUry2eCvYecQfhz/c/zV8d8ajq8klvHTw/+qC5MymUy4cOEC1tbW6HEwGAwGwwgTtgwGg8H4veJ2u/HOO+/g3r17WFtbQ6lUwtzcHARBwMjICLxeL+7fv4/V1VXMzMzA7/fDbDZjbGwMIyMjyOfzSKVS2N/fp+IzFAohn8/DZDLRlOVis4TfVIzupQkCFqwzsPAWhMNhyLKMTqcDAEin0zCZuqWrHo+HCkjyuN1uo1qtolqtolKp0FAjEioEPBGfdaEJwywaAEOOQYStYSoaRVGkgUr1er3vDNveMmFSPtyvAIvn+L77VHueJH3EZBRPo9Gg5dS9/b3kPEwmE2w2G9rtNlwuF2w2m0F0T7Tj2OzTS5qQMpixjNKxSO12m4ZlkbCvXmRZRq1Wo+nUNpsNg4ODaDabqFQqdDkSBkVEqiAIGAxEccpndNuTNAlf1tcw1RpBuVyGLMtwuVwYHx9Hs9lEsVikrnm1WsX29jYkScLCwoKur7tcLuPhw4fodDpYWVnRCdjLly/DarXi0aNHkGUZFy5cMIjbleBlnDZTuJP/3HCN+oVJDQ4O4uTkBPfv38d7771nuMHBYDAYDCZsGQwGg/E9wGQy4erVqwiFQrh37x6q1SqWl5dpf+X169extraGR48eYWhoCMPDwzCbzTTNNhKJoF6vI5VKIZPJIJXq9rH2hgxtKntQOaODOdiJolVpwewxQ5ZlNJtNDAwMwOfzUbFEfpxOJ7xeL03jtdlssNlsCAaDqNVqKJfLyGazdDSQpmm0RzVvKgJ99EiIC8BsNuucR1EUMTjYnTNLynvP/rTbbUPAkyRJutJinufBWTjDDNVOp41is9g3IKq3N5gkLZNzIAKN9DtrmmZwTAFgxBzt+z5v148QUByQZRkmkwl+vx9OpxOlUomKaJKWXKlUdOOHSII2ADqbOJPJ0LFMkiTBbrfTKoCQEsF/Lv214RgeNNfhLtsQ9Xc/N2SbNpsN2WwW+XwejUYDyWQSPp8P165doyFmqqpib28P+/v78Pl8eOutt3Qly0D3BsD8/DzMZjNWV1chSRLm5+cN4vZPh/4Y6Vamb5jUx9lPMegYoGFSHMdhbm4Ot2/fxv7+PqampvpeXwaDwfghw4Qtg8FgML4XcByHiYkJ+P1+fPrpp/j000+xuLiISCQCi8WCK1euYH9/H3t7ezg9PUUoFMLAwAAdx+NyuTA9PY3x8XHs7u4in8/T0CeP34MH8qO++53lJpHP51EoFGA2m2EymeDz+WhpqsPhQDQaRblcRqlUQjKZhMVigdfrhcvlokLS5/PB6/WiWq0in88D6IYKEfGY9mUAfSswBI2HuWOCKIhUiHY6HVgsFiqEiEg9O38VeNJjWy6X0W63YbfbadmwKIrdEKsgB+2sbcs/SW8mDrCiKCiVSggGg33F6tn3yuFw0Pm5veFWiqJAkiXYBAvanL70OoUCbDYbHA6Hrs/WZDKh1WpR51sURZjNZkQikb4hVe12G2azGc1mE61WC16vVzfqCQAifAgj5mEcSwndujKvQBrVMOof1V1HWZbB8zy2t7fB8zz9LBF3tNFo4OHDh6hWq7h48SLm5uae6pxeuHABFosFn3/+OWRZxuLiom55Ey/gvx//X58bJvXfjv8WIWuIhkl5vV4MDw9jbW0N8Xi87+eBwWAwfsiw8CgGg8FgfO8QRRF3797F6ekpxsfHMT09TUWBKIpIJpM4Pj5Gq9WC0+nEwMAATTDWNA2rq6swmUyIRCLIZrNYa21gw7Vv2M+kdQz/zP8+JElCLpdDuVymSbx+vx9er9fQ61mv11Eqlej8U7fbDY/HQ3sv6/U6MpkMBgcHaVqxLMv4G/Uf0Dkj9DyiG0vFOfq4t7/WZrPR0l/yc9b1IxC3OBqN6pZRFAX/WflbyNA7s9P8OK6bVnTPtdttlMtletzAkx5bSZJ0iczkhyxDjr33WP9e/gw7yoluHxw4/J8i/wY2/kmatSRJKJVKtPzb5XIhEAjA6XTqzkVVVVQqFRSLRbRaLVgsFlgsFrRaLUxOTuoSslutForFIo6bSXzufWi4Xjbein87+G9g0gQUi0Xkcjk6j1jTNLz11ltUOGqahpOTE2xtbdGZy8FgsO/70I9kMonbt28jEAhgeXnZkJb81WFS/3s4TF3HuNPp4OOPP8bo6ChWVlYMyzMYDMYPGSZsGQwGg/G9RNM0bG1tYW1tDX6/H0tLSzqXStM05PN5HB8fI5fLQRAERCIReDwebG1tYXJyEl6vF5qm4f+e+A8oKRXDPv7S9yPEbd2S30QigXa7jaGhIeRyOVSrVQiCAL/fj0AgoBNOQFdgl0ollMtlKIoCu93eTV7+7fO9PZl1rYG/Fo0jaOaEC1jmFqjb2Wq10Gw2YbFYdON8CKQsuPeHJCGXSiVEIhGDi/gfxb+BBEn33CQ/itdNV6njS/ZN5gD3OrC9kPJki8UCQRBQrVZhMpkQDAYNrupnjXX8Y+1Twzn/K/+fYMoSR6vVQq1WQ6fTAc/z0DQNY2NjtOyX0Ol0UCwW6XX2er30fVZVFRsbGzCZTIjH4zQMqtVqwWw2IxwO40PuDo7FhOE4FrVZxEohmq49MDBAy4evXLmCSCSCTqeD9fV15HI5TExM9BWmz0I2m8Unn3wCl8uFlZUVgyP+ZeF+3zApAJh0T+BfT/4rCL8Nkzo8PMTm5ibef/99+Hy+r30sDAaD8YcKE7YMBoPB+F6Ty+Vw+/ZtyLKM4eFhxONxQ/pvs9lEIpHAyckJJEkCx3EYHR2Fz+fDbvsA/zX7c8N2PZIL1xuXEfB33cHj42OMjIzQETvtdhu5XA75fB6KosDtdiMQCMDlchmcxF5BRV4jpb4mkwkpUxaf4QvDMbxuehljwpOxMGQbo6OjNBCKlBWTEUS9v3uFJ8dxNL2ZlC8LgoC/Fn4J8YywHZZiuNS4oBtFBHRdV6vVSkuyyW8iZM86xqT3eHBw0CCoT8Uc/l3ROM/2MqaxIk/TkUlkpE8ymcTo6CicTiedSVwsFlGv12EymRAKhRAOhw0luIVCAUdHR+A4DqqqwuPx6BKyE+1T/MfsfzMch1k14184/hniA8O6bd67dw9OpxMOhwPJZBKCIODq1au05/mbUiwW8dFHH8FqtWJlZcUwourvTv6+b5gUALwRuU7DpFRVxa1bt+BwOPD222+f6+IzGAzGDw3WY8tgMBiM7zXhcBjvv/8+tra2cHBwgMPDQ4RCIcTjcYTDYfA8D4fDgQsXLmB0dBQ3b96E2WzGwcEBzGYzvvCu993u66GX4be6USwWkc/nwfM8zObuGBgSDBWPxzE0NIRSqYRMJoOjoyOYzWbq4pIeVZ/PR8OmTk5OaM8mCXhKuJJAn9Gw1oYFTVOTitF2u63rE+1NIu6HqqqQJAmdTge5XI66yqIo0rRjBGAIrdI4TSe8TSYTGo0GOp0OhoeHn/m9cTgcKBaLqFQqEARBV64syRLMJhMkTu86p7ki7U8mgpKUM7daLTQaDRSLRciyDKfTifHxcfj9fkNJeLVapc46uV7T09PweDy6/UX4EKJcGBktp3te4iVk3QVMWSfpNguFAhRFQTabhcViwdTUFC5cuGAQod+EQCCAGzdu4KOPPsLdu3fx0ksv6dzpPxt+tjApnucxNzeHL774AolEAvF4/Hc+NgaDwfhDgAlbBoPBYHzvsdlsWFpawvz8PBKJBHZ3d3H//n0qPoeHu65bOp2GpmlYWlqCJElYP32MjJw3bM8ruHHJNwfezyMYDGJrawtmsxl7e3uwWq0IhUIIBoNUuAaDQQSDQTSbTZqcm8vlaFovEaO9qb2BQABAt891s7VnGLtjVk2QKiLy2pPj4zgO7XYbmUxG55oS4XvWnSMOq8ViQS6Xo+OGgCfBUkLnHnDGsbVYrQjYArrnSM9wL0Sgn3WKyd/E8a3ValSEm83mbpq12YyRVhR7UlK3zaxWgsfvhZk30X2QsT+ZTAYcxyEYDCIcDhvKkmVZRj6fRz6fhyiKcDqdmJqaQiAQwIMHD5DJZGhKca1Wo33TcWsUGY9e2ALAreLnWHIuoJDNI51Oo9PpwO120zE+IyMjhnV+F7xeL9599118+eWX2NzcxMWLF+k58uDxr6f+JX569N/QkBuGde8UvsCQcwghWxCRSAQTExM4ODjAwMDANyqPZjAYjD802H8JGQwGg/HCYDKZMDY2hrGxMRSLRezt7WFvbw+7u7uIRCKoVqsIBoOwWq2wWq04cqSAqnE7s/wUNFUDBFB3bmVlBY1GA6lUCqenpzg9PUUgEEAoFKKlzw6HA2NjYxgeHqbitlwu05E/brcbsizreig5nkNRKxuOIWIOY3JikoYzVatV1Ot12Gw26vb29tj2urdE7PaWC/M8byhNNplM4EXjLFsNT8YekR5bUewGW+VyOZ2IPXv9zWYzbDYbLBYLzGYzOp0OCoUCRkZGDL2jk1wcexW9sFWg4kTMYNQcQ61WQ6VSQafTgSAI1Hnv7dfVNA3NZhO5XA6lUglA18UfGBjQlYVPT09jfX0dBwcHtF/Y4XBgamoK4XAY2WQZxy19r21DaeBv1n+OMXEIg4ODGBkZgcfjwa1bt5BMJr91YQt0S9Rff/31vq+54ML/0fdvn2k7L7300rd5WAwGg/HCw4Qtg8FgMF5IAoEAAoEAlpaWcHBwgO3tbbRaLaiqilQqBYvfisfVTcN6ZpjgyljxMPsQHo8HlUoFU1NTEAQBHo8HHo8H4+PjyGQySKfTKBQKcDgcCIfDtCTWZDIhFoshGo3SkthkMkn7XMmYIbPZjKapBRmy4TjCQlAnVqvVKnWgCaTUmPTYkt+dTgf1ep2W8BLq9TodlUOCpTjN2IPZ7nSQLqchy7JuGxzHged5WCwW2O12Kl7J737jbRRFQbFYRKPRMIQZjZhjfd+71fRjKFITmqbB4/FgcHCQhkP1JjL3JhZbrVaMjo4iGo0aBHS9Xkcu13Vky+Uy/H4/ZmZm6CgoAHgrdB3/75OfGo4l6cngfzv/v4HDaqfPxWIx7O/v03m7DAaDwfj+w/5rzWAwGIwXGovFgpmZGZTLZaTTabjdbuzu7mLbeQjVZsxHfDm4gutT15FOp2k/bCaTAc/zCIVCVNiREudisYhUKoWjoyMkEgkEg0GEQiE6h9Xr9cLr9aLT6SCVSqFYLOrmsqasGcDX57gbZlTaFSpCm80mLV8mkFLjp82wJYI3m83SIKhms/lkHI9PAYQz63IabDabzvXNZrNwu92IxfqL0X6QcUA2mw2VSkVXqixJEkRFAm/loXJ6AZ4zVzAQGoDH46EitdlsolKpoN1u07nCiqLA7/fTPtuzo4zy+W4Jca1Wg81mw8TEBJLJJDRN04naRqMB9VSCV3ajYtLPjG2oTdyvrOG1yDX6XCwWw87ODlKpFOthZTAYjBcEJmwZDAaD8cIjiiJOTk4wOTmJyclJlBplfPDojmE5HjxeCazAYrYgFArh+PgY8XgczWYT29vbODg4QDQaRSwWo8KV9Ne2Wi2k02lkMhlks1l4PB6EQiGavmu1WmGz2SAIAsbGxgB0xWe2VgJEw6HAXBWQETP0sSAIKJVKaDabtNSYzGrtl0rc6/ba7XY0Gg20Wi0MDQ3RfcuyjDuNh4DW1u3barUi4o7onlNV1TCypzeVmfwQIU3+pteW51GtVmG1WunoI7PZjJFqDIfiqW67abUAX8BPR9j0ivTHjx/DZDJhYGCAvg+99L4PsiwjGAzi8uXLNEgsEAjgiy++QDqdhiAISKfTqFQqsFqtuB67in9o/sbwXnyQ/hgvh67A9Nu+X6fTCY/Hg5OTEyZsGQwG4wWBCVsGg8FgvPAcHh5C0zSa6Hu/ugapT/nvgBRG+bQE+4ANJycnsNlsuHjxInieR71ex8nJCZLJJBKJBAKBAGKxGHUK7XY7xsfHMTIygnw+j1Qqhf39fVgsFho21W639f21HIeCWjAch4t3YnFmEZqmQRRF5PN5VKtVBAIBiKKITqeDarWq65kVBEFXFtwreonzerbH1mw2Q+AEQ4+t2tNjS8qdFUVBu91GKpWiovXsSCFBEKiD7Ha76d9msxnb29vw+/2IRPSCeUodwWFRL2w7moTTThYxIUhHBsmyDI7jMDY2ZhgfpGkaSqUSUqkUSqUSTCbTuaOfnE4n3G439vb2oGkaAoEALl++jGg0CgBY29hEoqk/nrJYwReFVbwSftK3GovFsLe3B0mSDKXPDAaDwfj+wYQtg8FgMF5oNE3D3t4eotEorFYrFFXBx5nbfZe95r6MZDKJk5MTAMDIyAh1QV0uF+bm5jA9PY1UKoXj42M8fvwYNpuN9tOSdOJoNIpoNIp6vY5UKkUDp4Cuc3lyctJd1iwgrxUNxxExhQGAOr2iKMLj8RjcQUVR0Ol00Ol00G63qeglI3F6Z9AKggBN07r9xRYLLTHmYOyx7YgdOvOXlCwLgkAdV4vFohOu5Oeso9uLz+dDpVJBOBym11RVVcSFSN/lbx/dw7w8Sl1Wr9eL/f19OJ1OKmpFUaS9zp1OBx6PBwsLCxgYGDAETOXzeZycnCCbzUIQBJhMJrhcLly7dk3ndL83+Db+/e5/NBzPr1Mf4WrwMgS+u91YLIbt7W2kUqnnEiLFYDAYjG8XJmwZDAaD8UKTz+dRq9UwMzMDAFgtrqEsGqOQpz0TeHP2dcgXZdy9exe1Wg3Hx8coFAp0Xi1xPkl/baVSwfHxMY6OjnB0dGRI43W5XJiensb4+DhKpRJ2dnZgtVrpCJy8WoQWNPb5WpsWZNtZWmLcarUQCoUMy5Gk4LNjb4CumCNBUqIoolKpoFwuQ5ZltFotKlhFnwicMRxVTaWuq8ViAcdxOD09xdTUFLxe7zNfe1Lu3Ol0YDabIUkSjo6O6LFJkgQZMjgzB43TX4eyrYmJyAQ8Hg8V5QDQbre7vcmpFPL5PDiOw8DAAEZGRgzHJooivVHRbDbh9XrpmJ5CoYCPPvrIMOv1oncGg/YYTltp3bZKYhlfFh/gWugKgG4CttfrxfHx8bcibO/evQtRFM9NRP59k8/n8eWXX6JarWJgYOCZjnN9fR2np6d4//33v4MjZDAYjKfDhC2DwWAwXmj29vbgcDgQDAahaRo+SN/qu9zbsdcAPBFOV65cgdfrxe7uLra2trC9vY3BwUHE43HaN+vz+eDz+TA7O4tEIoHj42Nks1m4XC7EYjGEw2HqDvr9fqiqimg0SkOg7tceAhXjsbhEB4rNIi3z5TgOiUQCuVyOOqa9v61WqyGRmOM4WooMdGf9lstlDA8Pw2azQVVViKKIB9Vt1FT9XFSLzYp48InYa7VaANC35Jb02BIBTRxk0md7NpmZOKter5ce/3BqDSedjG65hJKF1+cD/1s3VdM0CIKA4+NjSJIEu92OCxcuYGhoiJ4jgdxwSKVSAIDh4WFMTU0hGAxSdzYWi2F8fBxbW1sIhUJ0xjDHcXh38C38h73/n+Fcf5P6CCvBpW75Np6ESP0QypFXV1fh8/nwxhtvsCRoBoPxQsL+y8VgMBiMF5ZOp4NEIoHp6WlwHIed6j6SzZRhuagtjFnvNICuECb9soIgIBwOo9Vq4eDgAHt7e0gkEvB6vRgZGUEsFoMgCLBYLJiYmMD4+Djy+TyOj4+xu7uLw8NDRCIRRCIRKvB6E4wzUrbvcV+deglW3gJFUXB0dIRGo4Hh4WG02220223U63Xk83ldqbHJZDKIXfI3CZsCAEmSYLPZwPM8bDYbTA0ToNeeujm2mqah0+kAAKrVKsrlsk7Enp2la7PZYLPZ4Pf76d/k5+TkBKlUCqOjozohPl0fMwjbhtJCqpWDHy7k83kUi0WasLyysoJQKGRIQU6lUjg5OUGlUoHD4cD8/DzGx8cNAVOEpaUlpNNpPHr0CCsrK3R7C745RG0RZNr69yffKWK1uI6V4BKArrDd2tpCMpmkgWB/qNTrdUxOTvatDmAwGIwXASZsGQwGg/HCcnh4CAA0Cfhm6ny3lud42hN75coVXY+m3W7HxYsXMTs7i1Qqhd3dXaytrWFzc5OGFDkcDnAch3A4jHA4jGaziZOTEyQSCdpfC4CGUlmtViRVo8gOmPyw8l0HUhAENJtNhEIheg4EEixFxC7ps2232ygWixDFJ1HLJCgK6JaUktJgi8UCzlgJjY4o4vDwkJYLa5pGy5EtFgtsNhucTieCwaBOuJrNZp3YPEskEkEikUC1WoXP56MlyUOcscwaAG5u3cKsOgKTyYTBwUFaQh0Oh+kyjUaDhnpJkoRYLIZLly4hFov1navbi8ViwUsvvYSPP/4YyWSShovxHI93B9/C/3f/fzGs80+pD3E5cAk8x8Nut8Pv9+Pk5OSZhe3JyQkeP36Mer0OQRDg8/l0Zb2bm5vY3t7u9h/H47h8+TI9j8PDQ+zs7KBWq8FkMiESiWB5eZkK92w2i5s3b+LNN9/Ew4cPUavVEAwG8corr6BUKmF1dRWtVguDg4N46aWXqPOqaRo2Nzexv7+PdrsNl8uFixcvIh6Po9Fo4Oc//zkA4PPPP8fnn3+Oq1evAui6uP/8n/9zeuzJZBK3bt3CT37yk2e6FgwGg/FdwoQtg8FgMF5ISGhUJBKBxWJBppXF48qWYTmXyYmVUNeB29/fp25tP3iex9DQEIaGhlCr1bC3t4eDgwMcHBwgHA4jHo/TcCSHw4GZmRlMTU2hUqng8PAQ+XweDocDnU4HxVoRVX/NsA9Hx47j42NaXiyKItxut2E5EixltVr79r2qqkqFLvlJpVKQJAm5XI46yC1Py9Bjq2gKzGYzXC4XrFYrWq0WCoUCXnnllacGRPVDlmXdMZhMJhwfHyOZTKLT6XRH+UAELMZ1m14Fi/FFeDwecByHo6MjZDIZqKqKXC6Hk5MT5PN56phPTk7C5XJ9reMbGBjA2NgYNjc3EQwGaUnykn8ev7R9gFw7r1s+187jYekRlgOXAADRaBRbW1sQRdFQEn2WVquFzz77DIuLixgeHoYkSTrnPZfLwW634+2330a9Xsft27fh8/kwOTkJoPueLiwswO12o9PpYHV1FXfv3sWbb76p28+jR4/ozZnbt2/j9u3b4Hker7zyCmRZxq1bt7Czs4O5uTkAwMbGBo6OjrCysgKXy4VcLoc7d+7AarUiFArhxz/+Mf7xH/8R8/PziMfjMJvNNGCNwWAwXhSYsGUwGAzGC0kul0O9Xqdf3m+mP+273OvRl2HmzWg0Gjg9PTW4tefhdruxvLyMhYUFWnp879492O12Gi5Fwp8CgQASiQScTidmZ2cBAAfNIyDxmWG7QfjQaDRQKBSo+CQzdInTe7bE12q1GpxSnucNwVKVSoUeH0lUflTcQ0nRh2lZrVZMDk3Sx6lUCiaTqe91Ib26Z0U0+ektVRYEAYIgQBRFBINBOJ1Oeg43d9Zw2s7ptn0kpamoBbrl1qIo4sMPP0Sn00EgEMC1a9cwPDz8O/V9Li8vG0qSeY7HuwNv4T8d/FfD8r86/RCL/nnwHI9YLIbNzU0kk8lzb4gQ2u02HTtFxhD5fD76utlspg6tx+PBwMAAstksFbYTExN0WZfLhcuXL+Of/umfDD2+CwsLNGxsfHwca2tr+LM/+zMq+oeHh5HL5TA3NwdFUbCxsYG33nqLruNydcu/9/f3EYlEqNg3m830bwaDwXjRYMKWwWAwGC8ke3t7cDqdCAQCqEl1fJFfNSxj5kx4LfIyXf5pbu15mEwm2l9bLBaxt7eH3d1d7O7uIhqNYmhoCE6nE41GQycKUu103+1dGb+MQdsANE3Do0ePoCgKxsfH0Wq10Gw20Ww2kc/n0W63dev1ityzwtdkMtEwKUmSwHEcTCYTTCYTLDULoOiPQT3TYyuKInieRy6XMwhX0n/bexwOhwM+nw92ux12u50KbLPZjE6ng5s3b8LtdiMWi9H1LnjGDMK2JFZwWsvALluQyWRQKHRn/oZCIczNzdEQrt8VUpL8ySef6EqSlwML+NXpB8h39COZMu0s1ssbWPTPw2azIRAI4OTk5Cs/O16vF5FIBL/4xS/oiKh4PE6dXq/XqyufttvtqFSepIsVi0U8evQIlUoFoihSp5ckPvfuh2Cz2SAIgs7JttlsKBa751Sv16EoCj766CPdsaqqqhPdDAaD8aLDhC2DwWAwXjja7TYSiQQuXLgAjuPwSeYOZE02LHc1fAUus5O6tZcvX/7apbYEjuMQDAYRDAaxtLREw6ZIMi/QFcFra2uw2+3Yw75hGzx4RCzd/lEyEmhiYgKDg4OGZVVVRavVooK3V/gWCgWDU2qz2SDLMhRFQTabfZKm3GeOrSiJ2N3dpcnGJJ15a2uLunYOhwOBQAAOh4M+JqFUT8NmsyEYDCKXyyEajdJxQIPo32f7y7WbmFKH4HA4MDExgf39fUxMTHxropYwODhIS5JDoVBXEHIC/mjgTfz08K8Ny//T6Ye45LsIjuMQi8WwsbGBTqejCwc7C8/zeOutt1AoFJBOp7G7u4v19XW88847ANC3P5mIV1mW8dFHHyEWi+Hll1+G1WpFs9nERx99ZEiePvsePO09IZ+T119/3eDGPu3fQr9jPXscDAaD8X2CCVsGg8FgvHAcHh6C4zgMDQ1BVCXcyt4xLMOBw1vR6wC6bq3NZtOVev4uWK1WzM7OYmZmBrVaDeVyGZ999hl8Ph94nkej0UDGkgPO6Aa34sLO1g5sNlu391RR4HQ6oapqX7HidDppSetZJEmigpeIXhIclUgkqGCqumuG/lZFVek4I5vNRscMXb58+WuPtSECvFd8S5KEarWKTz/9lIohGa2+fbZKRMCbF96kJdUHBwdoNBrGBb8FekuSr1y5Ao7jsBJYwq9Ob6IklnXLnrbSeFzZwrxvFtFoFI8fP0YikaBlw+fBcRxCoRBCoRAuXryIn//850gmk195bNVqFaIoYnFxkV6LUqn0jc+V4PF4wPM8ms0mIpHIM69ntVq7c4hlmZaBl8vl3/l4GAwG43nBhC2DwWAwXihIaFQsFoPFYsGn2btoyE3DcvO+GUTsoW/FrT0PjuPg8XggSRIAYHp6Gl6vF1Wphp+t/cqwfNQchiZqKBQKtB9zdXUVwJMSX+KO9pb5WiwWg4NmNpvh9Xp1ZanHx8d4/Pgxrl+/DkmS0Gq1sJtPICfqS23NFjMuXbhEHxcKBVpKfBZSqtwrXHt/95ZMk1AtkiAdCAQQj8fpuXzw+Rpybf2xHLRPdeLdbrc/N2FrsVjw6quv4v79+ygWiwiHw+B5Hn8x+mf4deojw/Jr5Q0s+Odgt9sxNjb2lUKzUCggk8kgFovBarWiWCzSub69Jcf9cDgc4HkeOzs7mJycRKVSwePHj3+n8wW6n5OZmRn6OQuFQjTUymw2n5v2HAgEaAXC9PQ0CoUCTSFnMBiM7yNM2DIYDAbjhSKTyaDRaGBhYQGqpp4bGvV27DUA375b2496vQ4AVKAlGv0dusX4JawElwEAn376KVwuF6anp9FoNNBoNFCv1+kM297eVkEQdEL37G8i2MlYGFmWaSmyvW4HRP1xqGcG25KRP9lslpY79zrBvSWoVqsVTqeT9tA6nU64XC44nU7Y7XbqPN++fRulUgnRaJSK8jnfJHJpvbA9bWZREWvwWrrJ0M9T2AJAOBzG+++/r3vuVdc1vBq/9tT1rl17+utAV0Tm83ns7OxAkiQ4nU4sLS1hYGDgK1OGbTYbrl27hrW1Nezs7MDv92NpaQmffPLJV5/UV7CwsACr1YqNjQ00Gg2YzWb4/X4avNYPq9WKl19+GQ8ePKAhUxcvXsSXX375Ox8Pg8FgPA+YsGUwGAzGC8Xe3h5cLhd8Ph8elbcM41oAIO4cwoR7DI1GA6lUCsvLy9+6W9tLrVaD1WqlJZuJZn9hG3d0Z9WKoohqtYrZ2W6Zaz8kSdIJXvK7WCyi0WgYxKbdbqfnmEqlaJlxvx5bSZawubmJTqeDVqsFSZKQTCaRTCbB8zwVqrFYjP5Nfp61VHl0dBQnJyeo1WrweDwAgIu+SXyU/tyw7EZ5D69ElgE8f2H7PPF4PIbRPIR+wvjy5cu6xyMjIxgZGdE91zszNhKJGGbIjo+PG0KtFhYWsLCwQB9zHIcLFy7gwoUL5x5777xaAhl91UtvKfbZ/TAYDMbvEyZsGQwGg/HC0Gq1cHp6ipmZGXAch5vp/m7W27HXwHEc9vb2YLVan6tbC3Qd296xO4nGqWEZK29ByBYEAOTzXTF+nqgFuu6fz+frm1yraRra7bZO9DYaDVruenx8jOPj4+6+XHngTN6RqqmQZRlutxuRSAR7e3uYnZ3F9PQ0bDZb3+CgrwspFT89PaXCdtbX/33YKO/rhG02m/2d989gMBiMHxZM2DIYDAbjheHg4ICGRp00ktirHRqW8Vu8WArMU7d2aWnpubq1QNexJcJW07S+ju2QYxA81y3TLRQK8Hq933hmKMdxtDSZzCYFukFO/+W//BfMz88jEAig1WohkcohdWbMDm8S8MrKKwC67vHe3h4CgcC3OsOU53mMjIzg5OSE3ogYdETgNbtQkeq6ZTfKe/Rvu90OURQNs1sZDAaDwXgaT8/sZzAYDAbje4Kmadjf30csFoPZbMbN1K2+y70ZvQ6BE7C/v/+duLWapukc20KniJbSNiw37Byiy+fzed2M128Lnudhs9kgiiJcLhfC4TDcbnefY35SxiyK3Qbcp42x+aaMjo6i0+nQ+bQcx2HWZ0wVPqwl0ZS714yI6xe1HJnBYDAYvx+YsGUwGAzGC0E6nUaz2cTIyAhKnTJWi+uGZWyCFa9EVtBsNnF6eorZ2Vna9/q8IO4iDY76iv7aer2OTqfz1DLk3wWbzaZLKub7/K9e7RG2JNHZYukzi+d3JBAIwOVy4fT0SWn2XJ9yZA0atioHAJiwZTAYDMY3gwlbBoPBYLwQ7O3twe12w+v14qPMbUOyLwC8Gr4Km2D7znprgW4ZMgDq2Caaxv5aABh2DgLo9tfyPI9wOPxcjsdut+sSlUn5cy8qNPr38xS2HMdhdHQUmUwGiqIAAC76p/ouu1HaBdB1jsks4Gflgw8+wP3793/3A34KjUYDP/3pT1GtVp/rfhgMBoPxzWDClsFgMBjfe5rNJlKpFOLxONpKB7ezXxiW4Tkeb0Rf+U7dWuDJqB8qbPuM+nGZnPCau/Nm8/k8wuHwc+v7fSZh+x05tkA36VdRFBoINeIahF2wGZbbKO8DeNI//HWE7fXr1585nZcI1K+aSctgMBiMFwsmbBkMBoPxvefg4AA8z2NgYACf5b5AR+0YllkOLMBv9X2nbi2gH/WjaAqSzZRhmWHHEDiOg6IoKJVKz6W/lmCz2fTCts+4Hw0aFbeiKEIQhOcmtN1uNwKBAC1HFjges75xw3K71SOISldkf11ha7VaWdAUg8Fg/MBhqcgMBoPB+F6jqir29/cxMDAAXuDxUeZ23+Xejr1O3dqlpaXvxK0Fuo4t6a/NtLKQNdmwDAmOKhaLUFX1uQpb4thqmgaO4/o6tkA3xApc17F9HsFRvYyOjmJ1dRWiKMJisWDON4n7hQ3dMrKmYLd6hIv+Kdjt9q9V8vvBBx/A5/Ph8uXL+NnPfoaJiQnU63UkEonu/ubm6PzVn//85wCAX/3qVwCAcDiMGzduAAD29/extbWFRqMBp9OJ6elpTE3pS6d75wczGAwG4/sDc2wZDAaD8b0mnU6j1WohHo/jQWkdZbFiWGbKPY64cxD7+/uwWCzfmVsL6Ef9nBccNex40l9rt9vpXNfnAQlfIq7tecKW9ChLkvTcypAJ8XgcAJBKdd3s8+fZdsf+EMdW07S+y30V29vbCAQCeO+99zA5OYl79+5Rofzuu+8CAN566y38+Mc/xvXr1wEAR0dHWF9fx6VLl/Anf/InuHTpEtbX13F4eKjbNjmmYrGIX/7yl7SUu9ls4je/+Q2Ojo7QaDRQKpVw+/ZtrK8/CTl7+PAhPvroI2QyGTSbTRQKBaRSKaiqikwmg1/+8pdoNBpot9t0uwwGg8F4Nphjy2AwGIzvNXt7e/B4PHC73fjgcf8RP2/HXkOz2UQymcTi4uJ35taSUT+RSAQAkGicFxzVdWwLhQJisRg4zlge/G1hs3X7VzudDmw22/nCVvvuhK3NZsPk5CTq9Tp4nseMfwKz/gnIqqJbrio3wPM8fD4fXC7XNz62gYEB6rTOzs5ie3sb2WwWHo+HutMWi0U3t/fRo0dYXl7G8PAwAMDlcqFarWJvbw9jY2OGfciyjHK5TIXuo0eP4PF4MDo6CgBwOp2YmprCzZs3MTc3h2azic3NTbz11ls0EZvcEAG6vcXlchlms/m5vx8MBoPxhwgTtgwGg8H43tJoNJBKpTA/P4/9+lHfxOGILYQ53wU8fvQYFouFlpx+F3Q6HciyTEuRT/o4tgGLH06TA+12G/V6/ZlDjr4pz+zY/laQSZKkE1jPiytXruge/1/e/j+fu6zL5eorJp8Vr9dL/+Y4ztB3fBZZllGv1/H555/jiy+eBJOpqvrMvbvlchmVSgXHx8f0OU3ToGkaGo0GKpUKOI57bmnYDAaD8UOHCVsGg8FgfG85ODiAIAgYGBjA/2v/P/dd5q3Ya2i32t+5WwvoR/2IiohsK2tYhri1+XweAJ7b/FoCcSSpsO0THgV8t47tdw3P68U8x3FPLWuW5W5f9EsvvYRAIGBY91mQZRkTExOYnp42vOZwOGh6NoPBYDCeD0zYMhgMBuN7CQmNGhwcRFEq4VF507CMy+TES6FlbD/e+s7dWkA/6uekldDNhyX09tf6/f7nHtTE8zxsNhva7Xb38Vf02JJApx8KRPT2Cl2bzQa73Y56vU5Lib8ufr8f1WoVbre77+terxeapiGXy/W9udHvuBgMBoPx7LDwKAaDwWB8L0mlUmi324jH47iZ7t9b+1r0ZchtCclk8jubW9tLrVaDzWaDIAjn9tfGnUPQNI32134X9M6y/T702H6fsFqtEAQB6XQa7XYboigCAObn57G5uYnt7W3UajWUy2UcHBxga2vrmbY7OzuLQqGAe/fuoVQqoVarIZlM4t69ewC6PbdjY2P4/PPPkUwmUa/Xkc1mcXJyAuBJvy353LPwKAaDwfh6MMeWwWAwGN9L9vb24PV6wdsFfJFfNbxu5kx4PfIy9rf2fy9uLaAf9dOvv5YDh0H7AKrVKiRJ+s6EbW9P6dOEraqqUBTlubvI3yd4nsfly5fx+PFjPHr0CKFQCDdu3MDExAQEQcDW1hYePnwIk8kEr9fbt7S4Hz6fDzdu3MDa2ho++OADAF0xSxKhAWBlZQVra2v48ssvIYoiHA4H5ubmAHSF7fz8PB4+fIi7d+9ibGwM165d+/YvAIPBYPyBwoQtg8FgML53tFottNttTE9PY726iQGXURAu+i/CCgsajcZ33ltLqNVqdHRPv1E/UXsEFsGCk/wJTCYTgsHgd3Jcdrud9vTy5xRnqVCpW/l9d2yTySSGhobOfZ3MoQWAH/3oR4bX33//fd3jiYmJviOhRkdHzy1Fdjqd+MlPfkIfRyIR3WMACAQCeOutt849TkEQsLy8jOXl5b6vz8/PY35+/tz1GQwGg3E+TNgyGAwG43uH3W6nYmQCE3h//Ma5y7733nvf1WHpIKN+YrEYGnITxU7JsExvf208HjeEGj0v/H4/Ha3js3kx4h42LGMSzIDcdRp7x94wGAwGg/EiwoQtg8FgMBjfgHa7DUVR4HQ6kewzhgjo9tfKsoxOp4OVlZXv7NgmJydpafbrrlfw+sgr5y571s1kMBgMBuNFhAlbBoPBYDC+Aa1WCz6fD16vF8eNU8RdxlLZSc8E6vU6gsHgd+bWfh+RJAlffvklkskkzGYzZmZmcHp6Cp/Ph8uXL0NRFKytreHk5ASiKMLr9WJxcRGRSOT3fegMBoPBeEHgNJYrz2AwGAwG4zny+eefI5PJ4OrVq7DZbFhfX0cmk8H4+DguX76Mzz//HNVqFYuLi7Db7UgkElhfX8cf//Efw+12f2WPLYPBYDAYP9zbxwwGg8FgMJ47kiTh6OgIS0tLiEaj8Hq9uHr1Kp3X2mg0cHh4iOvXryMcDsPlcmF2dhahUAgHBwe/56NnMBgMxosCK0VmMBgMBoPx3Gg0GlBVFYFAgD5nsVjgdrsBAJVKBZqm4R/+4R906/3QxhAxGAwG43eDCVsGg8FgfGvcvXsXh4eHuHTpEp3PCXTHtdy6dQs/+clPUK1W8eWXX9LZrna7HSMjI5ifn6d9qLu7u5iamvp9ncb3ikajgZ///Od477334Pf7/+D2K8syOI7Du+++C47jdK/9PkY4MRgMBuPFhP0fg8FgMBjfKoIgYHNzE5OTk33no/I8j7GxMfj9fpjNZpTLZXzxxRfQNA2Li4u/hyNm3L17F6Io4vXXX6fP2e12/PjHP6auaTabxc2bN/EXf/EXX2vurdPpBM/zKJVKcDqdAABRFFGv1xEOh+H3+6FpGjqdDsLhcN9tKIoCRVEgCMLvcJYMBoPB+EOGCVsGg8FgfKtEIhHU63VsbGxgaWnJ8LrL5YLL5aKPnU4ncrkc8vn8d3mYjK+A5/lvZb6t2WzG6OgoHjx4AIvFAqvVikePHtHX3W43RkZGcPfuXSwtLcHn86HT6SCbzcLr9WJwcBCKouAf//EfEQqFMDMzA47jsLW1BQC4du3a73yMDAaDwXjxYcKWwWAwGN8qHMfh0qVLuHPnDqanp+FwOJ66fK1WQzqd/tZTb3/605/itdde+87TdNfX13F6evq158NqmoatrS3s7++j2WzCZrNhYmICo6OjALqlwaurqygWi3C5XFhZWUEoFAIAdDod3Lt3D/l8HqIowuVyYW5uDiMjI3T7JycnePz4Mer1OgRBgM/nw+uvv47NzU0cHh4C6F4zAHj77bfhdDppKbLFYsHNmzcBAH/9138NABgbG0MkEsHBwQFu3Ljx1HNbXl7Gl19+iY8//piO+2k2m9SBvXbtGh4/fowHDx6g1WrBYrEgGAxiYGCAbkMURQwNDeHWrVtotVoIh8N46aWXvtY1ZjAYDMYfLkzYMhgMBuNbZ3h4GFtbW3j06BGuXr3ad5lf//rXKJVKUFUVExMTWFhY+Fr7aLfbePToEVKpFNrtNiwWC7xeL+bn56nge970E88zMzOYnp7+2tt6+PAhDg4OsLy8jFAohFarhVqtRl9fW1vD0tIS3G431tbW8Nlnn+HP/uzPwPM8FEWB3+/H7OwszGYzUqkU7ty5A6fTiWAwiFarhc8++wyLi4sYHh6GJEnI5/PQNA0zMzOo1WqQJIm+VxaLBe12m+7bbrfj+vXr+PTTT/Gnf/qnMJlMEAQBPM9jf3//K8/NbDbjlVdeoY9lWcbjx48xMTEBoOsOLywsnPsZGB8fx/j4OIDuZ4vBYDAYjLMwYctgMBiM58Li4iJu3ryJmZmZvq+/+uqrkCQJlUoFDx48wNbWFmZnZ595+59++ilUVcW1a9fgdDrRbreRzWbR6XS+rVP4RpjN5q+9jiRJ2NnZwZUrVzA2NgagW7IdDofRaDQAdAXz4OAgAGB+fh6/+MUvUK/X4fF44HA4dNduenoa6XQaJycnCAaDaLfb0DQNw8PDtM/V5/PR5QVBgKIo55Ye8zxP+2qtVquuxzYWi33l+ZVKJdRqNQQCAUiSREuR2WxaBoPBYHxbMGHLYDAYjOdCOBxGLBbDw4cPqdvWCylR9nq90DQNX3zxBS5cuECTkZ+GKIrI5/N4++23EYlEAIC6k+exvr6O/f19vPnmm/D5fMjlclhbW0OpVILFYsHQ0BAWFxdpEu/PfvYzjI+Po1qt4vT0FBaLBbOzs9SN/dnPfgYAuHXrFj2fH/3oR31LkROJxFOdxmq1ClVV6bn0o1eIEgFKRLyqqtjY2EAikUCr1YKqqrqwJa/Xi0gkgl/84heIxWKIRqOIx+NfKwTqPJ7VQd3a2kKtVgPP8/D7/bhx4wYb58NgMBiMbw0mbBkMBoPx3Lh06RJ+9atf0Zml56FpGlRVfebtmkwmmEwmJJNJBIPBp6blapqG+/fvI5VK4caNG3C73ajX6/j444+xsLCAq1ev0h7Ve/fu6cKItra2MDc3h4WFBaTTaayursLtdiMWi+Hdd9/F3/7t3+Lq1auIxWKGUTWE3d1dHB0dPVUAPkvab7/ta5pGj3NnZweXL1+G1+uFIAhYXV2l15Tnebz11lsoFApIp9PY3d3F+vo63nnnHV2Q1zfB4/F85TJ+vx/vvffe77QfBoPBYDCeBhO2DAaDwXhu+Hw+jIyMYHd3lz53dHQEnufh9XrpGJi1tTXE4/FncmuBrlC7du0avvjiC+zv78Pn8yEcDmNkZETnbKqqijt37qBcLuPGjRvUJd7Y2MDIyAguXLgAoJvMe/nyZdy8eRMrKytUaIZCITqP1+12I5/PY3t7G7FYDDabDUC3H/Vp6cEbGxtfWWLtdrshCAKy2ew3Epr5fB5DQ0M0aErTNNRqNZ3o5DgOoVAIoVAIFy9exM9//nMkk0nMzMyA53kqks+DvDdftRyDwWAwGL8PmLBlMBgMxnNlYWEBJycn9DHHcdjc3KTBSA6HA1NTU1RkPivDw8MYGBhALpejTuTW1hZeeuklWvq8uroKQRDwzjvv6Mpey+UyKpUKjo+P6XOapkHTNDQaDSoIz5Y2B4NB7OzsPPMxtttttFqtp5ZIA13HdnZ2Fg8fPgTP8wiFQuh0OqhUKohGo1+5H7fbjUQigXw+D4vFgq2tLV2vcaFQQCaTQSwWg9VqRbFYRKfToefpcDiQTqdRrVZhtVr79gmTmwKpVAqxWAyCIHyjfmIGg8FgMJ4HTNgyGAwG41uj30xRp9OJv/zLv6SPR0ZGdGNo+iGK4jPtTxAExGIxxGIxzM/P4/PPP8ejR4+osI1Gozg5OUE6naZuJtBN5Z2YmOibXvxV44m+Ds9SYky4ePEiOI7D+vo62u02bDYbJicnn2ndubk51Ot1fPTRRxAEARMTExgcHIQkSQC6gVb5fB47OzuQJAlOpxNLS0t0nM7ExARyuRz+6Z/+CbIs03E/vTgcDszPz+Phw4e4e/cuxsbG2AxZBoPBYHxvYMKWwWAwGN8bJElCuVxGNpvFxf9/e/fu0sgexnH4Dax3EEzpBbQRMYWmsRLF3tq/1F5tBBWCoBYqCKIpLCIiATvPKRZlxeN6bHb3uzxPN8lcmPLDvPObxcUvHz8+Pl7dbvd1e2pqqiYnJ+vg4KAajcZrUE9MTNTj4+On7/72er132z8e89kI78DAQI2NjVWv16tms/nTazUajVpcXPzP+97a2nqzPTg4+Oa3oaGhWl1d/fDc4+Pjtba29uH/w8PDtb6+/ul1W61WtVqtD88DAL/L/3uZCQB+gdPT09rf3//p6sBV31cD3t3drevr63p4eKh+v183Nzd1fn7+7hMy09PTtbKyUkdHR68j0QsLC9Xr9arT6bx+iqbb7Van03lzbK/Xex2bvry8rNvb2zcj06Ojo3V3d1dPT08fPmVutVpvRp7/Ni9PhQHgd/LEFoA/Rrvdrna7/el+3759q2azWRcXF9Xv9+v5+blGR0drbm7udbGnH83MzFRV1eHhYTUajZqenq6NjY06OTmpnZ2dqvo+Mv2y34v5+fm6v7+vs7OzGhgYqKWlpTffbV1eXq7j4+O6urqqkZGR2tzcfHft2dnZL40kp9nb26uNjY2/+h4B+PM1/rG8IQC8s729XfPz819e1AoA+PWMIgMAABBN2AIAABDNKDIAAADRPLEFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAgmrAFAAAg2r+FPd/6DFdy2wAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### A very busy hypergraph\n", + "\n", + "filepath = '../data/newsgroups-topics.csv'\n", + "\n", + "## uncomment the filepath below to run in Colab\n", + "# filepath = 'https://raw.githubusercontent.com/pnnl/HyperNetX/master/tutorials/data/newsgroups-topics.csv'\n", + "\n", + "df = pd.read_csv(filepath, index_col=0)\n", + "df.index = df.index.map(lambda s: '.'.join(s.split('.')[-2:]))\n", + "\n", + "H = hnx.Hypergraph.from_incidence_dataframe(df)\n", + "# create functions for mapping hyper edges/weights to colors\n", + "norm = plt.Normalize(0, H.incidence_matrix().max().max())\n", + "cmap = plt.cm.Greens\n", + "\n", + "def get_cell_color(e):\n", + " return cmap(norm(H.incidences[e].weight))\n", + "\n", + "plt.figure(figsize=(12, 12))\n", + "hnx.draw(\n", + " H,\n", + " layout=nx.kamada_kawai_layout,\n", + " with_additional_edges=H.bipartite(),\n", + " edges_kwargs={\n", + " 'edgecolors': 'darkgray',\n", + " 'facecolors': (.65, .65, .65, .15)\n", + " },\n", + " additional_edges_kwargs={\n", + " 'edge_color': get_cell_color,\n", + " 'width': 4,\n", + " },\n", + " edge_labels_on_edge=False, edge_label_alpha=1,\n", + " contain_hyper_edges=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:25:45.739441Z", + "start_time": "2024-05-16T15:25:45.457401Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T18:43:54.346374Z", + "iopub.status.busy": "2024-04-03T18:43:54.346296Z", + "iopub.status.idle": "2024-04-03T18:43:54.530292Z", + "shell.execute_reply": "2024-04-03T18:43:54.530018Z", + "shell.execute_reply.started": "2024-04-03T18:43:54.346367Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## Let's take a subhypergraph focusing on the most interesting edges\n", + "\n", + "threshold = 0.1\n", + "\n", + "# filter out singletons\n", + "newdf = df[df.columns[(df >= threshold).sum(axis=0) > 1]]\n", + "\n", + "# filter out small weights\n", + "newdf[newdf < threshold] = None\n", + "\n", + "# construct hypergraph\n", + "H2 = hnx.Hypergraph.from_incidence_dataframe(newdf.T)\n", + "norm = plt.Normalize(0, H2.incidence_matrix().max().max())\n", + "cmap = plt.cm.Greens\n", + "\n", + "def get_cell_color(e):\n", + " return cmap(norm(H2.incidences[e].weight))\n", + "\n", + "plt.figure(figsize=(12, 12))\n", + "hnx.draw(\n", + " H2,\n", + " layout=nx.kamada_kawai_layout,\n", + " with_additional_edges=H2.bipartite(),\n", + " edges_kwargs={\n", + " 'edgecolors': 'darkgray',\n", + " 'facecolors': (.65, .65, .65, .15)\n", + " },\n", + " additional_edges_kwargs={\n", + " 'edge_color': get_cell_color,\n", + " 'width': 4,\n", + " },\n", + " edge_labels_on_edge=False, edge_label_alpha=1,\n", + " contain_hyper_edges=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/basic/Basic 3 - LesMis Case Study.ipynb b/tutorials/basic/Basic 3 - LesMis Case Study.ipynb new file mode 100644 index 00000000..6d326481 --- /dev/null +++ b/tutorials/basic/Basic 3 - LesMis Case Study.ipynb @@ -0,0 +1,2511 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:18.815852Z", + "start_time": "2024-05-16T05:24:18.814032Z" + } + }, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment to run in Colab" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# A Hypergraph Analysis of the novel Les Miserables by Victor Hugo " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As readers, we are mesmerized by the prose and drama and are horrified by the meanness of the time. But as mathematicians, we delight in the opportunity to study the relationships among the characters and discover what the hypergraphs they generate tell us about the story. We use the data available from the [Stanford GraphBase]( https://www-cs-faculty.stanford.edu/~knuth/sgb.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.118642Z", + "start_time": "2024-05-16T05:24:18.816890Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:21.656694Z", + "iopub.status.busy": "2024-04-03T17:19:21.656632Z", + "iopub.status.idle": "2024-04-03T17:19:24.123117Z", + "shell.execute_reply": "2024-04-03T17:19:24.122821Z", + "shell.execute_reply.started": "2024-04-03T17:19:21.656687Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import matplotlib.pyplot as plt\n", + "import networkx as nx\n", + "import numpy as np\n", + "import pandas as pd\n", + "import itertools as itt\n", + "import warnings \n", + "warnings.simplefilter('ignore')\n", + "\n", + "from collections import defaultdict" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.341113Z", + "start_time": "2024-05-16T05:24:21.119777Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.123768Z", + "iopub.status.busy": "2024-04-03T17:19:24.123625Z", + "iopub.status.idle": "2024-04-03T17:19:24.280508Z", + "shell.execute_reply": "2024-04-03T17:19:24.280200Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.123758Z" + } + }, + "outputs": [], + "source": [ + "lm = hnx.LesMis()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Basic Structure of the Novel\n", + "The novel is broken into five parts, which we will here reference as volumes: **Fantine**, **Cosette**, **Marius**, **St. Denis**, and **Jean Valjean**. Each volume is subdivided into books, each book into chapters, and each chapter into scenes. By shifting the level of subdivision, we are able to construct multiple hypergraphs modeling character interactions and relationships." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.351343Z", + "start_time": "2024-05-16T05:24:21.342741Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.280968Z", + "iopub.status.busy": "2024-04-03T17:19:24.280888Z", + "iopub.status.idle": "2024-04-03T17:19:24.288179Z", + "shell.execute_reply": "2024-04-03T17:19:24.287905Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.280961Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " title\n", + "1 Fantine\n", + "2 Cosette\n", + "3 Marius\n", + "4 St. Denis\n", + "5 Jean Valjean" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "volumes = lm.volumes\n", + "volumes" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.355863Z", + "start_time": "2024-05-16T05:24:21.352016Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.289748Z", + "iopub.status.busy": "2024-04-03T17:19:24.289636Z", + "iopub.status.idle": "2024-04-03T17:19:24.293540Z", + "shell.execute_reply": "2024-04-03T17:19:24.293173Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.289739Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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FullNameDescription
Symbol
AZAnzelmadaughter of TH and TM
BABahorel`Friends of the ABC' cutup
BBBabettooth-pulling bandit of Paris
BJBrujonnotorious criminal
BLBlachevilleParisian student from Montauban
.........
TSToussaintservant of JV at Rue Plumet
VIMadame Victurniensnoop in M-- sur M--
XAChild 1son of TH sold to MN
XBChild 2son of TH sold to MN
ZEZephinelover of FA
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" + ], + "text/plain": [ + " FullName Description\n", + "Symbol \n", + "AZ Anzelma daughter of TH and TM\n", + "BA Bahorel `Friends of the ABC' cutup\n", + "BB Babet tooth-pulling bandit of Paris\n", + "BJ Brujon notorious criminal\n", + "BL Blacheville Parisian student from Montauban\n", + "... ... ...\n", + "TS Toussaint servant of JV at Rue Plumet\n", + "VI Madame Victurnien snoop in M-- sur M--\n", + "XA Child 1 son of TH sold to MN\n", + "XB Child 2 son of TH sold to MN\n", + "ZE Zephine lover of FA\n", + "\n", + "[80 rows x 2 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### List of Characters\n", + "names = lm.df_names.set_index('Symbol')\n", + "names" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.360436Z", + "start_time": "2024-05-16T05:24:21.356760Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.293984Z", + "iopub.status.busy": "2024-04-03T17:19:24.293909Z", + "iopub.status.idle": "2024-04-03T17:19:24.297556Z", + "shell.execute_reply": "2024-04-03T17:19:24.297266Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.293978Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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SymbolFullNameDescription
0AZAnzelmadaughter of TH and TM
1BABahorel`Friends of the ABC' cutup
2BBBabettooth-pulling bandit of Paris
3BJBrujonnotorious criminal
4BLBlachevilleParisian student from Montauban
............
75TSToussaintservant of JV at Rue Plumet
76VIMadame Victurniensnoop in M-- sur M--
77XAChild 1son of TH sold to MN
78XBChild 2son of TH sold to MN
79ZEZephinelover of FA
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" + ], + "text/plain": [ + " Symbol FullName Description\n", + "0 AZ Anzelma daughter of TH and TM\n", + "1 BA Bahorel `Friends of the ABC' cutup\n", + "2 BB Babet tooth-pulling bandit of Paris\n", + "3 BJ Brujon notorious criminal\n", + "4 BL Blacheville Parisian student from Montauban\n", + ".. ... ... ...\n", + "75 TS Toussaint servant of JV at Rue Plumet\n", + "76 VI Madame Victurnien snoop in M-- sur M--\n", + "77 XA Child 1 son of TH sold to MN\n", + "78 XB Child 2 son of TH sold to MN\n", + "79 ZE Zephine lover of FA\n", + "\n", + "[80 rows x 3 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### Who are the characters?\n", + "lm.df_names" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.365380Z", + "start_time": "2024-05-16T05:24:21.361424Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.298244Z", + "iopub.status.busy": "2024-04-03T17:19:24.298148Z", + "iopub.status.idle": "2024-04-03T17:19:24.302070Z", + "shell.execute_reply": "2024-04-03T17:19:24.301599Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.298236Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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VolumeBookChapterSceneStepCharacters
011100MY
111100NP
211111MY
311111MB
411202MY
.....................
8575941400MA
8585941400CO
8595950401JV
8605950401CO
8615950401MA
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862 rows × 6 columns

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" + ], + "text/plain": [ + " Volume Book Chapter Scene Step Characters\n", + "0 1 1 1 0 0 MY\n", + "1 1 1 1 0 0 NP\n", + "2 1 1 1 1 1 MY\n", + "3 1 1 1 1 1 MB\n", + "4 1 1 2 0 2 MY\n", + ".. ... ... ... ... ... ...\n", + "857 5 9 4 1 400 MA\n", + "858 5 9 4 1 400 CO\n", + "859 5 9 5 0 401 JV\n", + "860 5 9 5 0 401 CO\n", + "861 5 9 5 0 401 MA\n", + "\n", + "[862 rows x 6 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### List of Characters as they appear in each scene\n", + "scenes = lm.df_scenes;scenes" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.374111Z", + "start_time": "2024-05-16T05:24:21.366222Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.302593Z", + "iopub.status.busy": "2024-04-03T17:19:24.302461Z", + "iopub.status.idle": "2024-04-03T17:19:24.311007Z", + "shell.execute_reply": "2024-04-03T17:19:24.310613Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.302581Z" + } + }, + "outputs": [], + "source": [ + "h = hnx.Hypergraph(scenes,\n", + " edge_col='Volume',\n", + " node_col = 'Characters',\n", + " node_properties = lm.df_names)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.380353Z", + "start_time": "2024-05-16T05:24:21.374931Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.311594Z", + "iopub.status.busy": "2024-04-03T17:19:24.311488Z", + "iopub.status.idle": "2024-04-03T17:19:24.316543Z", + "shell.execute_reply": "2024-04-03T17:19:24.316254Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.311586Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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edgesnodesweightBookChapterSceneStepmisc_properties
01MY11100{}
11NP11100{}
21MB11111{}
31ME11202{}
41CL11416{}
...........................
1375TH1330364{}
1385GI13120373{}
1395BZ1510375{}
1405MG1540378{}
1415AZ1612385{}
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" + ], + "text/plain": [ + " edges nodes weight Book Chapter Scene Step misc_properties\n", + "0 1 MY 1 1 1 0 0 {}\n", + "1 1 NP 1 1 1 0 0 {}\n", + "2 1 MB 1 1 1 1 1 {}\n", + "3 1 ME 1 1 2 0 2 {}\n", + "4 1 CL 1 1 4 1 6 {}\n", + ".. ... ... ... ... ... ... ... ...\n", + "137 5 TH 1 3 3 0 364 {}\n", + "138 5 GI 1 3 12 0 373 {}\n", + "139 5 BZ 1 5 1 0 375 {}\n", + "140 5 MG 1 5 4 0 378 {}\n", + "141 5 AZ 1 6 1 2 385 {}\n", + "\n", + "[142 rows x 8 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "h.dataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hypergraph with each Volume as an Edge\n", + "\n", + "We first generate a hypergraph studying the relationship between volumes. The edges are the volumes and the characters who appear in each volume are the nodes. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.420726Z", + "start_time": "2024-05-16T05:24:21.381242Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.317203Z", + "iopub.status.busy": "2024-04-03T17:19:24.317069Z", + "iopub.status.idle": "2024-04-03T17:19:24.346441Z", + "shell.execute_reply": "2024-04-03T17:19:24.346179Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.317188Z" + } + }, + "outputs": [], + "source": [ + "### Construct the edges as a dictionary named by the name of the Volume\n", + "volume_edges = {v : set(scenes.loc[scenes.Volume == v]['Characters']) for v in range(1, 6)}\n", + "\n", + "### Construct a hypergraph made up of volume_edges\n", + "HV = hnx.Hypergraph(volume_edges,name='Volumes')\n", + "for node in HV.nodes:\n", + " HV.nodes[node].name = names.loc[node]['FullName']\n", + " HV.nodes[node].description = names.loc[node]['Description']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.424239Z", + "start_time": "2024-05-16T05:24:21.421802Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.346934Z", + "iopub.status.busy": "2024-04-03T17:19:24.346854Z", + "iopub.status.idle": "2024-04-03T17:19:24.349874Z", + "shell.execute_reply": "2024-04-03T17:19:24.349554Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.346926Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "AttrList(['FV',\n", + " 'SC',\n", + " 'CO',\n", + " 'GG',\n", + " 'BR',\n", + " 'FF',\n", + " 'TM',\n", + " 'PO',\n", + " 'CH',\n", + " 'SN',\n", + " 'CN',\n", + " 'CC',\n", + " 'FN',\n", + " 'JL',\n", + " 'CL',\n", + " 'MC',\n", + " 'MT',\n", + " 'BM',\n", + " 'NP',\n", + " 'VI',\n", + " 'JV',\n", + " 'BL',\n", + " 'MY',\n", + " 'JA',\n", + " 'ME',\n", + " 'MB',\n", + " 'CV',\n", + " 'JU',\n", + " 'FT',\n", + " 'DA',\n", + " 'LI',\n", + " 'ZE',\n", + " 'GE',\n", + " 'MR',\n", + " 'SS',\n", + " 'FA',\n", + " 'PG',\n", + " 'TH',\n", + " 'SP',\n", + " 'IS'])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## What is in an edge?\n", + "HV.edges[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.683299Z", + "start_time": "2024-05-16T05:24:21.425173Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.350353Z", + "iopub.status.busy": "2024-04-03T17:19:24.350279Z", + "iopub.status.idle": "2024-04-03T17:19:24.604536Z", + "shell.execute_reply": "2024-04-03T17:19:24.602621Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.350346Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### Collapse the nodes to understand the relationships (same as diagram in title)\n", + "plt.figure(figsize=[10,10])\n", + "hnx.draw(HV.collapse_nodes(use_counts=True))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Noting the characters in the intersections between edges gives a sense of their importance. Which characters are central to the novel?" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.877341Z", + "start_time": "2024-05-16T05:24:21.873646Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.694274Z", + "iopub.status.busy": "2024-04-03T17:19:24.693689Z", + "iopub.status.idle": "2024-04-03T17:19:24.735303Z", + "shell.execute_reply": "2024-04-03T17:19:24.734412Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.694264Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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FullNameDescription
Symbol
JAJavertpolice officer of M-- sur M--
JVJean Valjeanthief of bread
COCosettedaughter of FN and FT
THTh\\'enardiersergeant of Waterloo and keeper of a chophouse
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" + ], + "text/plain": [ + " FullName Description\n", + "Symbol \n", + "JA Javert police officer of M-- sur M--\n", + "JV Jean Valjean thief of bread\n", + "CO Cosette daughter of FN and FT\n", + "TH Th\\'enardier sergeant of Waterloo and keeper of a chophouse" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### Who are the four characters belonging to all five volumes?\n", + "volume_char_sets = list(set(HV.edges[idx]) for idx in range(1,6))\n", + "core_characters = list(set.intersection(*volume_char_sets))\n", + "names.loc[core_characters]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.887482Z", + "start_time": "2024-05-16T05:24:21.878081Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.741842Z", + "iopub.status.busy": "2024-04-03T17:19:24.740935Z", + "iopub.status.idle": "2024-04-03T17:19:24.754955Z", + "shell.execute_reply": "2024-04-03T17:19:24.754682Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.741808Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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FullNameDescription
Symbol
COCosettedaughter of FN and FT
TMMadame Th\\'enardierwife of TH
EPEponinedaughter of TH and TM
TGLieutenant Theodule Gillenormandsoldier and grandnephew of GI
JOJoly`Friends of the ABC' medic
BOBossuet (Lesgle)`Friends of the ABC' klutz
MAMariusgrandson of GI
CRCourfeyrac`Friends of the ABC' center
MNMagnonservant of GI
QUClaquesousnight-like bandit of Paris
JPJean Prouvaire`Friends of the ABC' poet
BBBabettooth-pulling bandit of Paris
MOMontparnassegenteel bandit of Paris
GTGrantaire`Friends of the ABC' skeptic
JVJean Valjeanthief of bread
GAGavrocheyoung urchin living at Gorbeau House
JAJavertpolice officer of M-- sur M--
BABahorel`Friends of the ABC' cutup
GUGueulemerHerculean bandit of Paris
MMMonsieur Mabeufprefect of church
PLMother Plutarchmaid of MM
GIMonsieur Luke Esprit Gillenormandgrand bourgeois
THTh\\'enardiersergeant of Waterloo and keeper of a chophouse
FEFeuilly`Friends of the ABC' political idealist
CMCombeferre`Friends of the ABC' guide
ENEnjolras`Friends of the ABC' chief
MGMadamoiselle Gillenormandunmarried daughter of GI
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" + ], + "text/plain": [ + " FullName \\\n", + "Symbol \n", + "CO Cosette \n", + "TM Madame Th\\'enardier \n", + "EP Eponine \n", + "TG Lieutenant Theodule Gillenormand \n", + "JO Joly \n", + "BO Bossuet (Lesgle) \n", + "MA Marius \n", + "CR Courfeyrac \n", + "MN Magnon \n", + "QU Claquesous \n", + "JP Jean Prouvaire \n", + "BB Babet \n", + "MO Montparnasse \n", + "GT Grantaire \n", + "JV Jean Valjean \n", + "GA Gavroche \n", + "JA Javert \n", + "BA Bahorel \n", + "GU Gueulemer \n", + "MM Monsieur Mabeuf \n", + "PL Mother Plutarch \n", + "GI Monsieur Luke Esprit Gillenormand \n", + "TH Th\\'enardier \n", + "FE Feuilly \n", + "CM Combeferre \n", + "EN Enjolras \n", + "MG Madamoiselle Gillenormand \n", + "\n", + " Description \n", + "Symbol \n", + "CO daughter of FN and FT \n", + "TM wife of TH \n", + "EP daughter of TH and TM \n", + "TG soldier and grandnephew of GI \n", + "JO `Friends of the ABC' medic \n", + "BO `Friends of the ABC' klutz \n", + "MA grandson of GI \n", + "CR `Friends of the ABC' center \n", + "MN servant of GI \n", + "QU night-like bandit of Paris \n", + "JP `Friends of the ABC' poet \n", + "BB tooth-pulling bandit of Paris \n", + "MO genteel bandit of Paris \n", + "GT `Friends of the ABC' skeptic \n", + "JV thief of bread \n", + "GA young urchin living at Gorbeau House \n", + "JA police officer of M-- sur M-- \n", + "BA `Friends of the ABC' cutup \n", + "GU Herculean bandit of Paris \n", + "MM prefect of church \n", + "PL maid of MM \n", + "GI grand bourgeois \n", + "TH sergeant of Waterloo and keeper of a chophouse \n", + "FE `Friends of the ABC' political idealist \n", + "CM `Friends of the ABC' guide \n", + "EN `Friends of the ABC' chief \n", + "MG unmarried daughter of GI " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "### Who are the characters belonging to the different intersections? \n", + "## Replace the values in the array with the volumes of interest.\n", + "vols = [3,4]\n", + "volume_char_sets = list(set(HV.edges[idx]) for idx in vols)\n", + "chars_of_interest = list(set.intersection(*volume_char_sets))\n", + "names.loc[chars_of_interest]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.893865Z", + "start_time": "2024-05-16T05:24:21.888409Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.755442Z", + "iopub.status.busy": "2024-04-03T17:19:24.755372Z", + "iopub.status.idle": "2024-04-03T17:19:24.760785Z", + "shell.execute_reply": "2024-04-03T17:19:24.760533Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.755435Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of Characters shared by pairs of volumes:\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 0\n", + "(1, 2) 7\n", + "(1, 3) 6\n", + "(1, 4) 5\n", + "(1, 5) 4\n", + "(2, 3) 8\n", + "(2, 4) 6\n", + "(2, 5) 6\n", + "(3, 4) 27\n", + "(3, 5) 16\n", + "(4, 5) 17" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## What are the intersection sizes:\n", + "volume_intersections = dict()\n", + "for pair in itt.combinations(range(1,6),2):\n", + " volume_char_sets = list(set(HV.edges[idx]) for idx in pair)\n", + " titlepair = (volumes.title[pair[0]],volumes.title[pair[1]])\n", + " volume_intersections[tuple(pair)] = len(set.intersection(*volume_char_sets))\n", + "print(\"Number of Characters shared by pairs of volumes:\")\n", + "pd.DataFrame.from_dict(volume_intersections,orient=\"index\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Highlights from each Volume (A very very very short description...)\n", + "\n", + "Fantine: Volume 1 Lays the foundation for the novel. Most of the characters do not appear in subsequent volumes. Most important of these is Fantine. As mother of Cosette, she sacrifices her life in the support of her daughter and lays the charge on Jean Valjean to care for Cosette when she dies. In contrast to Fantine, Jean Valjean and Cosette appear in all the volumes. A central story to the novel follows their travels as they flee from the relentless pursuit by Javert and the dogged and often comical abuses of Thenardier. Jean Valjean, originally convicted for stealing bread, begins as a hardened convict but through the mercy of a bishop is transformed into a philanthropist.\n", + "\n", + "Cosette: Volume 2 follows Cosette's liberation from her caretakers, the Thenardiers, by Jean Valjean. They flee into hiding from Javert and find refuge in a convent, where Valjean works as a gardener and Cosette is educated. Much character development is done, including a long description of Waterloo ending with the singular way in which M. Thenardier obtained a silver cross of the Legion of Honour while saving the life of one Pontmercy.\n", + "\n", + "Marius: Marius Pontmercy, son of an officer in Napoleon's army and grandson of a Royalist, experiences conflicting loyalties and ultimately turns his back on friends and family and lives among the poor. He sees and eventually falls in love with Cosette. In honor of his father, he attempts to help M. Thenardier but discovers his treachery when M. Thenardier attempts to murder the person he takes to be Cosette's father.\n", + "\n", + "St. Denis: With his love for Cosette thwarted, Marius joins a group of students to participate in an uprising known as the June rebellion. They construct a barricade near the Rue Saint-Denis.\n", + "\n", + "Jean Valjean: Jean Valjean saves Marius's life when soldiers overwhelm the barricades. Marius discovers Jean Valjean's true identity from Thenardier. Jean Valjean dies at peace with Cosette and Marius.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hypergraph of each Volume using Books as edges. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:21.897664Z", + "start_time": "2024-05-16T05:24:21.894899Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.761168Z", + "iopub.status.busy": "2024-04-03T17:19:24.761101Z", + "iopub.status.idle": "2024-04-03T17:19:24.838497Z", + "shell.execute_reply": "2024-04-03T17:19:24.838117Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.761162Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "### Construct a hypergraph for each volume\n", + "### The edges will be the books and the nodes the characters.\n", + "fantine = scenes.loc[scenes.Volume == 1]\n", + "cosette = scenes.loc[scenes.Volume == 2]\n", + "marius = scenes.loc[scenes.Volume == 3]\n", + "stdenis = scenes.loc[scenes.Volume == 4]\n", + "jeanvaljean = scenes.loc[scenes.Volume == 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.046519Z", + "start_time": "2024-05-16T05:24:21.898488Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.839175Z", + "iopub.status.busy": "2024-04-03T17:19:24.839086Z", + "iopub.status.idle": "2024-04-03T17:19:24.970638Z", + "shell.execute_reply": "2024-04-03T17:19:24.970375Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.839167Z" + } + }, + "outputs": [], + "source": [ + "### Construct the edges as a dictionaries\n", + "vols = [0,fantine, cosette, marius, stdenis, jeanvaljean]\n", + "HB = dict()\n", + "for idx in range(1,6):\n", + " book_edges = dict()\n", + " for book in vols[idx].Book:\n", + " book_edges[book] = set(vols[idx].loc[vols[idx].Book == book]['Characters'])\n", + " ### Construct a hypergraph made up of volume_edges\n", + " HB[idx] = hnx.Hypergraph(book_edges,name=f\"{volumes.title[idx]}-Books\")\n", + " for node in HB[idx].nodes:\n", + " HB[idx].nodes[node].name = names.loc[node]['FullName']\n", + " HB[idx].nodes[node].description = names.loc[node]['Description']" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.138624Z", + "start_time": "2024-05-16T05:24:22.047344Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:24.974479Z", + "iopub.status.busy": "2024-04-03T17:19:24.974366Z", + "iopub.status.idle": "2024-04-03T17:19:25.045979Z", + "shell.execute_reply": "2024-04-03T17:19:25.045571Z", + "shell.execute_reply.started": "2024-04-03T17:19:24.974471Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(HB[1].collapse_nodes(),with_node_counts=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.274543Z", + "start_time": "2024-05-16T05:24:22.139493Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.046513Z", + "iopub.status.busy": "2024-04-03T17:19:25.046419Z", + "iopub.status.idle": "2024-04-03T17:19:25.124375Z", + "shell.execute_reply": "2024-04-03T17:19:25.123988Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.046505Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### In the final book there is a long section on the Paris Sewers. \n", + "### The only character in that section was the creator of the sewers.\n", + "plt.figure(figsize=[10,10])\n", + "hnx.draw(HB[5])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.278022Z", + "start_time": "2024-05-16T05:24:22.275382Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.124900Z", + "iopub.status.busy": "2024-04-03T17:19:25.124824Z", + "iopub.status.idle": "2024-04-03T17:19:25.128100Z", + "shell.execute_reply": "2024-04-03T17:19:25.127768Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.124893Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "AttrList([2])" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HB[5].nodes['BS']" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.287810Z", + "start_time": "2024-05-16T05:24:22.278943Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.128533Z", + "iopub.status.busy": "2024-04-03T17:19:25.128455Z", + "iopub.status.idle": "2024-04-03T17:19:25.131320Z", + "shell.execute_reply": "2024-04-03T17:19:25.131021Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.128525Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HB[5].nodes['BS'].memberships ## Bruneseau belongs to the 2nd book in volume 5" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.395466Z", + "start_time": "2024-05-16T05:24:22.288981Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.131843Z", + "iopub.status.busy": "2024-04-03T17:19:25.131772Z", + "iopub.status.idle": "2024-04-03T17:19:25.216844Z", + "shell.execute_reply": "2024-04-03T17:19:25.216574Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.131837Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### Separate the components and consider the large one\n", + "c1,c2 = list(HB[5].component_subgraphs(return_singletons=True))\n", + "hnx.draw(c1)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.501161Z", + "start_time": "2024-05-16T05:24:22.396490Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.217309Z", + "iopub.status.busy": "2024-04-03T17:19:25.217232Z", + "iopub.status.idle": "2024-04-03T17:19:25.292634Z", + "shell.execute_reply": "2024-04-03T17:19:25.292352Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.217302Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### Note in the first book of this volume the soldiers confront the students at the barricades\n", + "### Most of the students are killed\n", + "### In the 4th book Javert dies alone\n", + "### At the center, in the last scene (8), there is only JV and CO\n", + "plt.figure(figsize=[10,10])\n", + "hnx.draw(c1)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.504374Z", + "start_time": "2024-05-16T05:24:22.502111Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.293548Z", + "iopub.status.busy": "2024-04-03T17:19:25.293404Z", + "iopub.status.idle": "2024-04-03T17:19:25.296044Z", + "shell.execute_reply": "2024-04-03T17:19:25.295720Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.293532Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "AttrList(['JV', 'CO'])" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HB[5].edges[8]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Who knew who?\n", + "\n", + "We can examine the interactions between certain characters by studying their neighborhoods and induced subgraphs.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.517363Z", + "start_time": "2024-05-16T05:24:22.505317Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.296526Z", + "iopub.status.busy": "2024-04-03T17:19:25.296449Z", + "iopub.status.idle": "2024-04-03T17:19:25.306995Z", + "shell.execute_reply": "2024-04-03T17:19:25.306627Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.296519Z" + } + }, + "outputs": [], + "source": [ + "## In Volume 1, Restrict to the nodes in a neighborhood of Fantine \n", + "## and construct the subhypergraph of HB[1] restricted to these nodes \n", + "\n", + "FNnodes = list(HB[1]['FN'])\n", + "FNnodes.append('FN')\n", + "FNNeighborhood = HB[1].restrict_to_nodes(FNnodes)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.520618Z", + "start_time": "2024-05-16T05:24:22.518225Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.307683Z", + "iopub.status.busy": "2024-04-03T17:19:25.307568Z", + "iopub.status.idle": "2024-04-03T17:19:25.314705Z", + "shell.execute_reply": "2024-04-03T17:19:25.313429Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.307675Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1: ['MY'],\n", + " 2: ['JV', 'MY', 'MT'],\n", + " 3: ['FV', 'FT', 'DA', 'LI', 'BL', 'ZE', 'FA', 'FN'],\n", + " 4: ['FN', 'CO', 'TM', 'TH'],\n", + " 5: ['JV', 'MY', 'JA', 'FF', 'MT', 'BM', 'FN', 'VI'],\n", + " 6: ['FN', 'JA', 'JV'],\n", + " 7: ['SC', 'JV', 'BR', 'PO', 'CH', 'SS', 'CN', 'CC', 'BM', 'FN', 'JU', 'SP'],\n", + " 8: ['JV', 'JA', 'PO', 'SS', 'FN', 'SP']}" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "FNNeighborhood.incidence_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.637277Z", + "start_time": "2024-05-16T05:24:22.521605Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.315961Z", + "iopub.status.busy": "2024-04-03T17:19:25.315558Z", + "iopub.status.idle": "2024-04-03T17:19:25.405052Z", + "shell.execute_reply": "2024-04-03T17:19:25.404749Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.315946Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(FNNeighborhood)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.651181Z", + "start_time": "2024-05-16T05:24:22.638234Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.405600Z", + "iopub.status.busy": "2024-04-03T17:19:25.405522Z", + "iopub.status.idle": "2024-04-03T17:19:25.418601Z", + "shell.execute_reply": "2024-04-03T17:19:25.418042Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.405592Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1: ['MY', 'ME', 'MB'],\n", + " 2: ['JV', 'MY', 'ME', 'MR', 'MT', 'PG', 'MB', 'JL', 'IS'],\n", + " 3: ['FN'],\n", + " 4: ['FN'],\n", + " 5: ['JV', 'MY', 'JA', 'FF', 'MT', 'BM', 'FN', 'VI'],\n", + " 6: ['FN', 'JA', 'JV'],\n", + " 7: ['SC', 'JV', 'BR', 'PO', 'CH', 'SS', 'CN', 'CC', 'BM', 'FN', 'JU', 'SP'],\n", + " 8: ['JV', 'JA', 'PO', 'SS', 'FN', 'SP']}" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## In Volume 1, Restrict to a neighborhood of Jean Valjean\n", + "JVnodes = list(HB[1]['JV'])\n", + "JVnodes.append('JV')\n", + "JVNeighborhood = HB[1].restrict_to_nodes(JVnodes)\n", + "JVNeighborhood.incidence_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.764473Z", + "start_time": "2024-05-16T05:24:22.652266Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.419578Z", + "iopub.status.busy": "2024-04-03T17:19:25.419363Z", + "iopub.status.idle": "2024-04-03T17:19:25.500836Z", + "shell.execute_reply": "2024-04-03T17:19:25.500522Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.419568Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(JVNeighborhood)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.776436Z", + "start_time": "2024-05-16T05:24:22.765345Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.501475Z", + "iopub.status.busy": "2024-04-03T17:19:25.501385Z", + "iopub.status.idle": "2024-04-03T17:19:25.510424Z", + "shell.execute_reply": "2024-04-03T17:19:25.510118Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.501468Z" + } + }, + "outputs": [], + "source": [ + "## Combine the subgraphs\n", + "Fantine_edges = list(FNNeighborhood.edges.elements.values())\n", + "JVFNHypergraph = HB[1].restrict_to_nodes(JVnodes)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.886857Z", + "start_time": "2024-05-16T05:24:22.777311Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.511095Z", + "iopub.status.busy": "2024-04-03T17:19:25.510995Z", + "iopub.status.idle": "2024-04-03T17:19:25.593994Z", + "shell.execute_reply": "2024-04-03T17:19:25.593652Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.511086Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(JVFNHypergraph)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hypergraph of each Volume using scenes as edges" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.970733Z", + "start_time": "2024-05-16T05:24:22.887811Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.594448Z", + "iopub.status.busy": "2024-04-03T17:19:25.594369Z", + "iopub.status.idle": "2024-04-03T17:19:25.696734Z", + "shell.execute_reply": "2024-04-03T17:19:25.696413Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.594441Z" + } + }, + "outputs": [], + "source": [ + "## Scene hypergraphs for each Volume indexed by Book,Chapter,Scene.\n", + "vols = [0,fantine, cosette, marius, stdenis, jeanvaljean]\n", + "scene_edges = defaultdict(list)\n", + "HS = dict()\n", + "for idx in range(1,6):\n", + " scene_edges = defaultdict(list)\n", + " for row in vols[idx].itertuples():\n", + " scene_edges[f\"{row.Book}.{row.Chapter}.{row.Scene}\"].append(row.Characters)\n", + " ### Construct a hypergraph made up of scene_edges\n", + " HS[idx] = hnx.Hypergraph(scene_edges,name=f\"{volumes.title[idx]}-Scenes\")\n", + " for node in HS[idx].nodes:\n", + " HS[idx].nodes[node].name = names.loc[node]['FullName']\n", + " HS[idx].nodes[node].description = names.loc[node]['Description'] " + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.975352Z", + "start_time": "2024-05-16T05:24:22.971499Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.697205Z", + "iopub.status.busy": "2024-04-03T17:19:25.697124Z", + "iopub.status.idle": "2024-04-03T17:19:25.700954Z", + "shell.execute_reply": "2024-04-03T17:19:25.700534Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.697198Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'1.1.0': ['MY', 'NP'],\n", + " '1.1.1': ['MY', 'MB'],\n", + " '1.10.0': ['MY', 'GG'],\n", + " '1.11.0': ['MY'],\n", + " '1.12.0': ['MY'],\n", + " '1.13.0': ['MY'],\n", + " '1.14.0': ['MY', 'SN'],\n", + " '1.2.0': ['MY', 'ME'],\n", + " '1.2.1': ['ME', 'MB'],\n", + " '1.3.0': ['MY'],\n", + " '1.4.0': ['MY', 'ME'],\n", + " '1.4.1': ['MY', 'CL'],\n", + " '1.4.2': ['MY', 'GE'],\n", + " '1.4.3': ['MY', 'MC'],\n", + " '1.4.4': ['MY', 'MB'],\n", + " '1.5.0': ['MY', 'MB', 'ME'],\n", + " '1.6.0': ['ME', 'MY'],\n", + " '1.7.0': ['MY', 'CV'],\n", + " '1.7.1': ['MY', 'MB', 'ME'],\n", + " '1.8.0': ['SN', 'MY'],\n", + " '1.9.0': ['MB'],\n", + " '2.1.0': ['JL', 'JV'],\n", + " '2.1.1': ['JV', 'MT'],\n", + " '2.1.2': ['MR', 'JV'],\n", + " '2.10.0': ['JV'],\n", + " '2.11.0': ['JV'],\n", + " '2.12.0': ['MY', 'ME'],\n", + " '2.12.1': ['MY', 'JV'],\n", + " '2.13.0': ['PG', 'JV'],\n", + " '2.2.0': ['ME', 'MB', 'MY'],\n", + " '2.3.0': ['ME', 'MB', 'MY', 'JV'],\n", + " '2.4.0': ['MY', 'JV', 'MB'],\n", + " '2.4.1': ['MY', 'JV', 'MB', 'ME'],\n", + " '2.5.0': ['MY', 'ME', 'JV'],\n", + " '2.6.0': ['JV', 'IS'],\n", + " '2.7.0': ['JV'],\n", + " '2.9.0': ['JV'],\n", + " '3.2.0': ['FT', 'LI', 'FA', 'BL'],\n", + " '3.3.0': ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", + " '3.4.0': ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", + " '3.6.0': ['BL', 'FV'],\n", + " '3.6.1': ['FV', 'DA'],\n", + " '3.7.0': ['FT'],\n", + " '3.8.0': ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", + " '3.9.0': ['FV', 'DA', 'ZE', 'FN'],\n", + " '4.1.0': ['TM', 'FN'],\n", + " '4.1.1': ['TH', 'TM', 'FN'],\n", + " '4.3.0': ['CO'],\n", + " '4.3.1': ['TH'],\n", + " '4.3.2': ['TM'],\n", + " '5.1.0': ['JV'],\n", + " '5.10.0': ['MT', 'FN'],\n", + " '5.12.0': ['BM', 'FN', 'JA'],\n", + " '5.13.0': ['FN', 'JA'],\n", + " '5.13.1': ['FN', 'JA', 'JV'],\n", + " '5.13.2': ['JA', 'JV'],\n", + " '5.13.3': ['JV', 'FN'],\n", + " '5.2.0': ['JV'],\n", + " '5.3.0': ['JV'],\n", + " '5.4.0': ['MY'],\n", + " '5.5.0': ['JA'],\n", + " '5.6.0': ['FF', 'JV', 'JA'],\n", + " '5.7.0': ['FF'],\n", + " '5.8.0': ['VI'],\n", + " '5.8.1': ['FN'],\n", + " '5.9.0': ['VI'],\n", + " '5.9.1': ['MT', 'FN'],\n", + " '6.1.0': ['JV', 'FN'],\n", + " '6.2.0': ['JV', 'JA'],\n", + " '7.1.0': ['SP', 'SS'],\n", + " '7.1.1': ['JV', 'SS'],\n", + " '7.1.2': ['JV', 'FN'],\n", + " '7.10.0': ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", + " '7.11.0': ['JV', 'BR', 'CN', 'CC', 'JU', 'CH'],\n", + " '7.2.0': ['JV', 'SC'],\n", + " '7.3.0': ['JV'],\n", + " '7.4.0': ['JV', 'PO'],\n", + " '7.5.0': ['JV'],\n", + " '7.6.0': ['SS', 'FN'],\n", + " '7.7.0': ['JV'],\n", + " '7.8.0': ['JV'],\n", + " '7.9.0': ['JV', 'JU', 'CH', 'BM'],\n", + " '8.1.0': ['SS', 'JV'],\n", + " '8.1.1': ['JV', 'FN'],\n", + " '8.2.0': ['JV', 'FN'],\n", + " '8.3.0': ['JV', 'FN', 'JA'],\n", + " '8.4.0': ['JV', 'FN'],\n", + " '8.4.1': ['JV', 'JA'],\n", + " '8.4.2': ['JA', 'FN', 'JV'],\n", + " '8.4.3': ['JA', 'JV'],\n", + " '8.5.0': ['JV', 'PO'],\n", + " '8.5.1': ['FN', 'SP', 'SS'],\n", + " '8.5.2': ['JV', 'SS'],\n", + " '8.5.3': ['PO', 'JA'],\n", + " '8.5.4': ['JA', 'SS']}" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HS[1].edges.incidence_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Who knew who by Scenes?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Difference in relationships when drilling down into hierarchy of sets\n", + "\n", + "We consider the neighborhoods of Fantine and Jean Valjean in the Scenes hypergraph. \n", + "Starting with the subgraph generated by the neighbors of Fantine, we restrict to neighbors of Jean Valjean." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:22.996841Z", + "start_time": "2024-05-16T05:24:22.976090Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.701533Z", + "iopub.status.busy": "2024-04-03T17:19:25.701448Z", + "iopub.status.idle": "2024-04-03T17:19:25.718495Z", + "shell.execute_reply": "2024-04-03T17:19:25.718210Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.701525Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "## In Volume 1, Restrict to a neighborhood of Fantine\n", + "FNnodes = list(HS[1]['FN'])\n", + "FNnodes.append('FN')\n", + "FNNeighborhood = HS[1].restrict_to_nodes(FNnodes)\n", + "jvfn = list(FNNeighborhood['JV'])\n", + "jvfn.append('JV')\n", + "FNJVNeighborhood = FNNeighborhood.restrict_to_nodes(jvfn)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:23.362474Z", + "start_time": "2024-05-16T05:24:22.997621Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.718975Z", + "iopub.status.busy": "2024-04-03T17:19:25.718902Z", + "iopub.status.idle": "2024-04-03T17:19:25.973073Z", + "shell.execute_reply": "2024-04-03T17:19:25.972763Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.718967Z" + } + }, + "outputs": [], + "source": [ + "plt.figure(figsize=[25,15])\n", + "hnx.draw(FNJVNeighborhood)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While the graph shows FN and JV as central points we can more clearly visualize the core relationships by collapsing the edges" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:23.446612Z", + "start_time": "2024-05-16T05:24:23.363426Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:25.973737Z", + "iopub.status.busy": "2024-04-03T17:19:25.973603Z", + "iopub.status.idle": "2024-04-03T17:19:26.035238Z", + "shell.execute_reply": "2024-04-03T17:19:26.034919Z", + "shell.execute_reply.started": "2024-04-03T17:19:25.973725Z" + } + }, + "outputs": [ + { 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uF1+/nETqllzG3zmQoAht6iciIiIiNdOsg8byz3ew4qtdnDmtDwldQqs8zuVykfnc82S+9BJ+I48h7rHHsAUH1+wi+emw+g1Y9RoUpEPCYGPUodtZtQ8XVRcKqauMMLP+I+PfdT8HBk2BuP5Qg5EXl8tF9quvsv/pZ/Dt14+4Z56udnPBsuIKFjy6Ei8fG2Nv64+H59GNpIiIiIhIy9Rsg8aeDVl8/vw6Bp/RlgGntq322KxXX2P/448TMW0qYVdeicVagzXypfnwzXRIfB9sXtBrPAyYZKylaAhFWbD2LVgxz5heFdMbjrkFupwONai/eMUKUm68CY+QEFq/9Sa2oKo3LMxILuDDx1fReUg0oy7sYuZXISIiIiLNVLMMGgXZpSx4eAWRbQI5/dpeWKrZK6N45Up2XzqRsMsmEnnLLTW7wL4NsOASo0vUqDuh74XgU/OdxU3ldML2H2HJc7DzV4juCcfdCZ1POeIIR9m2bey+8CK82ral1avzql3w/ufiNH5+cxPHT+xKlyExZn8VIiIiItLMNLug4ah08vFTqynKK2PCnYPw8fes8tjKzEx2nnMuXq1b02r+a9WuVzho3Xvw+Q3Guovxb0B4I+rItGsx/PwI7P4dYvsagaPjidUGjpLERHZPvAzf/v1JeOF5LF5V7wj+4xsb2bZiH+dNH0BYnH99fAUiIiIi0kw0u6Dx2/tb2PBbKufe2r/ana1dDgd7Lp9E2fbttP3oQzwjI6s/cUWpMVVq1WvQ+wI47SnwqkXL24aw8zf46WFIXgZxA4xRl/ajqwwcRUuWkHzlVQSceCKxTzyOxXb4dRiV5Q4+eGwVlRUOxt8xEC97DYKZiDR7DoeTwuwy8jNLKMguxdvXg8BwO4Hhdrz1PiEi0mI1q6CxY20GX7+cxMj/daLncdXvObH/mWfJmjOHVq+9ht/gQdWfOGeXMVVq/yY49Qmjm9TRtrwFKh1O0vNKSc4uZs9fv5JzSigpryQ+xJdWob4khB743Y6vVx0+oF0u2PGzEThSV0LCECNwtDv2sIfnf/sdqTfeSPCE8UTfe2+VLX1z9xez8JEVtO4ZzkmTute+PhFpcrLSCslOLSIvs4T8zBLyM0vJzyyhMLu0yr1Gvf08CPordASG+xi/R9iJaR+k5hIiIs1cswoaCx9dgZfdgzOn9al274uCX34h5aqribj5JsKnTKn+pJu/gY+vAHuIMVUqpvdR1ZSaW8I7f+zmy8R0knNKcDiNv26LBWKD7CSE2vHxtJGSU0JydjFllX/vxB3u78WQdmFcPKQ1g9qGHv1+HmAEjm0/wM8PQ9oaaHOMEThaD/vPoTkLF7L3nnsJu/oqIqdNq/KUGxal8ss7m7nogSEERTTSUR0RMUVlhYNtq/az/tdU9u3MB4zwEBhmhIegCB8CwuxGmIjwwT/Eh7LiSvKz/gojGaX/+HNhjhFKfPw86To8hh4j4wgMV+tsEZHmqNkEjX278vlgxkpOu6YXbXpV3a61PCWVnWPH4tuvH/EvPF99h6mdi+CNM6HTGDj7JbAH16gWp9PFom2ZvLl0Nz9t2oevlwdn9I6le2zgwVGLuGA7Xh7W/7wus7Ds4GjHzswivkhMZ2dmEZ2i/Ll4SGvO7htHgE/V606q5HLBlm+MwLE3CdodB6PugoR/juZkzZ3L/iefIuqO6YReeulhT1VR7uD16YvpNjyWYWMb0RoVETFNXkYJG35LZeOSdEqLKkjoFkqPkXHEdQrG27cW70F/cTic5O4tZuOSdDYtTaespJLW3cPocWwcrbqHYa2meYeIiDQtzSZo/Pj6n6RuzuWih4ZW+UHlLC9n9/kX4MjLo+2HH1Tb0pWCvfDyMRDZBS7+pEY7cReWVfLe8j28tWw3u7KK6RIdwMVDW3N2nzj8vGs3DcrpdLFkexZvLtvF93/uw+5p45x+cUwc1pYOkbVYkO10GhsL/vwo7N8AHU4wFo3H9z94yP4nnyRr7jxiZjxK8NlnH/Y0v3+wlU1L05n46HA8vDT9QaQ5cDpd7NmQRdIvqez5MwtvuwddhsXQ45g4gqPMH72sKHewdcU+1v+aSsaeAgLDfeh+TBxdh8dg96+6MYWIiDQNzSJolBZWMP+OxQw8rQ39x7Sp8rj0++8n78OPaP3uO9i7V7O+wFEJr58BOTvhykXgH3HEGv5My+eat1eRllvKKT2juXhIa/q3DqnddKeq6s8r4d3lyby7fA95xRX835nduGBQq9pdw+mEPz+BX2ZA5mZj1Oa4OyC2Dy6Xi7333kvuRx8T/9wsAkaP/s/Lc/cV8/b/LVO7W5FmYvf6LH59dzMFWaVEtg6gx7FxdBgQhWcDPEhwuVzs31XA+l9T2LpyPwDdR8Yy7JwO2DxrsK+RiIg0Ss0iaKz5fg/LPt3OpY8Mxzfw8E/ByrZvZ8dppxN1992EXnRh9Sf87h5Y+gJM/BJaDz3i9ResTOaeT9bTPsKfly7qR+swv9p8GTVWVungoS828uay3ZzbN46HzulR+4XjToexy/ivMyBrm7Hh33HTcUV0I/XGmyj85RcS5sw57IL5z2atpbykkvNuH1DHr0hE3MXpdLH88x2s+no3rbqHMuiMdtV27KtvpYUVrF+UyoovdxIe58/JU3poDYeISBPV5IOGy+nirf9bRnTbQE68vOpRir0PPUz+11/T8eefqt0rgo1fwPsXwkkPw7Drqr12aYWDez9dz4KVKZw/KIH/O6M7Pg3YReXTtalM/zCJhFA7L13Un/YRddjbwlEJSQuNwJGzC7qdhXPYLaTc+ywl6xJp9frr2Hv88+/3QJevcXcMILK1+25MRKR2ivPL+f7VDaRuzmHwWe3od1Lrajc4bUj7d+fzzSvrKS+p5ITLutGmZ9Vr70REpHFq8mPSyRuzyc8oocexVbezdRYVkffJJwSPO6/6kJG9Az65BrqeAUOvrfa6uzKLOOfFJXy6No0nx/Xm0XN7NWjIADirTxyfXTcch9PFmc/9zheJabU/mc0D+pwP162EM5+HtDVY544k/ngHXq1iSZ4yhbIdO//xkjY9w/AP8Wb9b6l1/EpEpKGlb8tlwcPLyUot5Mwb+tJ/TJtGEzIAIlsHMv7OgcS0D+LLFxJZ9ul2nM4m/VxMRKTFafIjGl++mEhBdikT7hpY5VqFnPcXsPf+++nww/d4xsYe/kQVJTDvRCgvgit+AZ+qF4qn55Vw+qzfCfDx4KWL+tM1xr1P84vKKpn+URKfr0vj2Ql9OLtvXN1PWlkOa9+G356kMjOd3b+3xWnxo8177+MZ8/eajJVf7WLV17u4dMZwfPxq34lGRBqGy+Vi3Y/JLP1oO1HtAjl5cg/8gr1rdZ6cshxSClJIKUghtTCVlMIU0grTCPQKJD4g3vjlb/yK9o/G03r07xEup4vV3+3mj093ENsphJMmda9yiqyIiDQuTTpo5GeV8NbdSzn2gs50P+bwN9cul4udZ5+DZ3w8CS88X/XJfnoIljwHk3+A6J5VHlbhcDJh9lLS80r54voRhPkf/Qd0fXC5XNy8YB1fr9/Lp9cNp1NUgDknriyD1W9Q8c1T7P7UicU3gNavz8OjXR8AivLKeOPOJQw7twO9j08w55oiUi/KSyr56Y2NbF+TQZ8TWzHk7HbYbDUf2K50VvJL8i8s2LyAdRnrKK4sPvjfgryDiPePJ8YvhoLyAlIKU0gvSsfpMvYGslqstApoxWntTuO8TucRbj+6qVApm3P4bu56rFYLJ0/pQUyH4KN6vYiINLwmHTSWfbKdpF9SuHTGcLx8Dr8Yunj1GnZfcAEJc+fiP2L44U9UWQZPd4Oe4+CUGdVe84HP/+SNpbtYcNVQ+rUKqeuXYKri8krOeWEJFU4nn103Av9attQ9rIpSyr58ht33vY6nbyWtbjgJ20nTIbgV381dz/49BVx435BGNfVCRP6WlVbIN7PXU5xXxvGXdqNd3yN30zsgoziDD7Z+wAdbPmB/8X76RPRhdKvRJAQkEB8QT5x/HAFe/324UeGsYG/RXmPUozCFpIwkvtn1DRWOCk5ofQITOk+gf1T/GnfOK8ot49u568nYU8B50wcQFluHdWkiIlLvmmzQcFQ4ef3OxXQYEMXICZ2qPC711tsoSVxH+6+/rnpzvsSF8NFkY31CeMcqz/VVUjrXvL2a/zujG5cNb1vXL6FebM8o5Mznfue4LpE8f35fU9vrApSuW83uiZfhE1xKwsgsrAMvIS3+aj5+OZkzp/UhoWuoqdcTkbrbunIfP725icAwH065smeN98RYs38Nb/35Fj/t+QlPmyentTuNCZ0n0CW0S61ryS/P5/Ptn/PepvfYlb+LDsEdmNB5Aud0PAdv25FHiCvKHHzw2EqcDhfj7hhQ5UMmERFxvyYbNLas2Mv38/7kgvsGExJ9+HaylVlZbDtuFBE33UTYZROrPtm8k8DDBy79rMpDdmQUcubzizm2c0S93MCb6cvEdK59ZzX3ndGNifUQiIpXrGDP5Cn4d4shrtcmqCjkvYK5BLeO5ZTrBpp+PRGpHYfDydKPtrPux2Q6Doxi1EVd8PQ+ctOKSmclz615jlfXv0rboLZM6DyBM9ufedhRi9pyuVz8sfcP3t/0Pj8n/0ynkE48dexTJAQeeQpmzt4iFs5YSeseYZw0qXujfj8WEWnJmmzXqa0r9hPTIajKkAGQ+8GHYLUSfM7ZVZ8oPRGS/4CBk6s8xOF0cc3bq4kM9Oaxsb0a/Yfaab1iuPq4djz301Y2pueZfn7fgQOJe+YZChKTSc8bB8feRnfPT9m5Po/yL+6Bwv2mX1NEjk5RXhmfPbuWpJ9TGDG+Iyde3q1GISOzJJMp303h9Q2vc1P/m/j0rE+5sOuFpoYMAIvFwpCYITwz6hneO/09CisKmfDFBH7a89MRXxsS7cfoi7uybeV+kn5R1zsRkcaqyQaNvP3FRLSq+oPP5XCQ8/57BJ52Grbg4KpPtHIeBMRA51OrPOTHjfvYtLeAJ8f1NnfdQz26+cTOTD6mHVv3FdbL+QNGjyL20UfI++Rz9v8BERc/gAsr+at+hGd7GZseFmXWy7VFpHrp2/NY+MgKcvcVc9ZNfek9OqFGD0hW7F3BuM/HsSt/F3NPmstlPS5rkAcrXUK78N7p7zEweiDTfp7G06ueptJZWe1rOvSPpPfoBBZ/sJW9O8x/oCIiInXXJIOGy+kiP6u02t1ii5YtozItnZDz/1f1iUrzIHEB9L/M2EeiCm8u203vhOBGt/i7Oh42K91iAlm2I5v80op6uUbQmWcSdeedZL/6Ks6fvwUg7+S3jY0OV75qBI4f7ofi7Hq5voj8k8vlIvHnFD55ajWBEXbG3zWQ2Bp0Z3K5XLy6/lWmfDeFtkFtWXjGQgZED6j/gg8R6BXIs6Oe5ZYBt/DGhjeY/N1kMoozqn3N0HPbE9k6gG/nrKeksLyBKhURkZpqkkGjOL8cR4WToGqCRtmWrVjsdnx69Kj6ROveA0c59LukykN2ZhaxaGsmFw9pXZeS3aJ/61BKKx0s25FVb9cIveRiwq+5hrxZT+Lp4SQvzwqj74YbkmDwFfDHy0bg+OlhKMmttzpEWrqKcgc/zP+TRe9vocdxcZx1Y1/8gmrWfvvFdS/yzKpnmNh9Iq+c+MpRt541i8Vi4dLulzLv5Hnsyd/DZd9eRkF5QZXH2zysnDylB5UVTn549U9t6Cci0sg0yaCRl1kCUO2IRkVKCl7x8dUP+698FbqcDoExVR7y9rLdBPt6cnqvqo9prPx9POjXKoTFW7Pq9QM4/PrrCL3wQnxyUshYvcX4l76hcMJ9MC0RBkw09ih5thf8+jiU5tdbLSItUe7+Yj58bBU71mRw4qRuHDO+U433x/g99Xdmr5vNdX2u44b+N+Bhdf/00P5R/Zk/Zj5ZJVncu/hequtZ4h/iw0mTurNnYzYbF6c1YJUiInIkTTJo5P8VNALCfao8pjwlGc+EarqXlOZDxiboclqVh5SUO1i4KoUJAxLw8TzyIsqj8csvv3Dvvfdy0UUXMXbsWG6++WbeeOMNiouLj/zio3BMx3Byisv5M73+bu4tFgtRd91JYIgHmYk7Kfx98d//0T8CTnoIpq2DvhfCb0/Csz1h0VNQVvWTShGpmV2JmSx8dCWV5Q7Ou30AnQZG1/i16YXpTF80nRFxI5jSa0o9Vnn0WgW24qHhD/HDnh948883qz02oWsobXuFk/RLarWhREREGlYTDRql+AZ64elV9c1/RXIKnvGH3y0cgNzdxu8hVbd//TwxjfzSCi4Y3Kq2pf7HZ599Rrdu3Rg1ahQPPvggb7/9Nh999BFPP/00l156KXFxcdx1111UVJizrqJ1mB+tQu0s2lr9XOe6slitRB8/mNLAWFKuv56StWv/eUBAFIx5FKathV7j4ZcZMLM3LJ4J5UX1WptIc+R0uvjj8x18+WIisR2DGXfnQMLiar6BXbmjnJt/vRk/Dz8ePeZRrJbG93FwfOvjmdh9Is+seoY1+9dUe2zPY+PJSi1k73YtDBcRaSwa3ydLDeRnllQ7bcrldP41daqaEY2cXcbvIW2qPOS3LRn0bxVC67CqW+jWlMvl4rbbbuOss85i48aNVR6Xm5vLI488wrHHHkt6enqdrwswoHUom/cW4HA6TTlfVYKj/Sm1+OLZrSd7rryK0i1b/ntQYCyc+gRMXQPdzoIfHzQCx9IXoKKkXusTaS5Kiyr48oV1rPxqF4PPbMepV/XE2350U56eXPkkm7I38fRxTxPkHVRPldbd1H5T6RXRi1t+uYWskqrXm8V3CSEo0k7Sr2p3KyLSWDThoFH1tKnKjExc5eV4JsRXfZKcXeDpC35VL3pMzi6mfUTNnxBW5+GHH+aJJ56o8fFLly7lrLPOory85p1UMjIyuPrqq2nVqhXe3t5ER0dz8sknk7J5LU4X/P7HKs4880wiIyPx8fGhTZs2TJgwgf37zdn3IijCCH8B9z6GZ0wMyZMmU56SUsXB8XD6M3D9Kuh8itEOd2Zv+GM2VJSaUo9Ic5Sxp4AFj6xg3658zri+NwNObYPFenQtaH/a8xPvbnqX2wfeTvfw7vVUqTk8rZ48eeyT+Hj48PAfD1d5nMVqoffoeJI3ZlOcrw5UIiKNQRMNGtW3tq1ISQbAK766oLHbGM2oZrH4nuxiEkKrvk5N/f777/zf//3fUb9uxYoVTJ8+vcbHjx07ljVr1vD666+zZcsWPvvsM4477jicJfmU5Odw9uljCA0N5dtvv2Xjxo289tprxMbGUlRkztSloEhfAAqLbbSa8woWu509l0+iMqOaaVshreHM5+D6ldD+ePhmOszqCyvmQmWZKXWJNBeblqbz4ROr8PHzZPwdA2nVLaxW55mXNI/BMYMZ33m8yRXWjwjfCJ467ini/ePZX1z1g5EuQ2PoNiKWrLT62T9IRESOTpMLGpUVDopyy6oNGuXJRtDwrDZo7Kp22lR+aQU5xRUkhPrWstK/zZgxA2ctpy29/PLLZGcfeR+K3NxcFi1axGOPPcaoUaNo3bo1gwYN4o477uD8ceeStmUtBfn5zJ07l759+9K2bVtGjRrFM888Q9u2Va9TORr2AE88fWzkZhTjERFBq1fn4SopYc+UK3DkH2Exemg7OOcluHYFtBkBX94Cz/WHVfPBUT/7gIg0FY4KJ7+8s5kfX99Ip4FRnHtrv2rfA6uzIWsDiZmJXNjlwgbZjM8sHYM74nQ6WZa2rMpjPL09CIq0k7yhfjvtiYhIzTS5oFGQZUyrqW7qVEVyCraIcKz2aj6Ic3ZBcNV7YyRnG92fWtUxaCQnJ/P111/X+vUlJSW8+Wb1HVcA/P398ff355NPPqGs7J8jAZ42K9FRUTgqK/n444/rrSuLxWIhKMJO3n5jrYVXfDwJ8+ZSkZ5O8lVX4yypwRqM8A4wdg5c+wfED4TPbzACx5q3wFH9TsEizVFhTikfP72ajUvSOO7Czoy+pCsedeiCt2DzAmL8YhgZP9LEKuufzWqjd1Rvlu9dTkll1e8lcR2DKcwpJzNFXe1ERNytyQWN/MwDQeMIe2jEVTOa4XRC7p5qRzSSs40PsrqOaKxdu7bWoxkHrFq16ojHeHh4MH/+fF5//XWCg4MZPnw4d955J4mJiQD06jeQ0y+5hgsuuIDw8HBOOeUUnnjiCfbt21en2v4tONKXvIy/W/T6dOpEwssvUbpxIyk33ICrpt20IjrDuNfg6sUQ0xs+vRZeGAjr3genw9SaRRqrlM05LHhkBUW5ZZx7S3+6H1NNJ70ayCvL46sdXzGu0zhsVnNbdjeEQdGDcDgdrNpX9XtiUIQvgRE+JP+Z04CViYjI4TTBoFGC1WbBL7jqHW/LU1KqnzZVuBccZcb6gCokZxdj97QR5udVl3LZuXNnnV4PsGPHjhodN3bsWNLS0vjss88YM2YMv/zyC/369WP+/PmE+Xtz3IVT2bt3Ly+//DLdu3fn5ZdfpkuXLiQlJdW5xgMOHdE4wLdvX+Kfe46iJUtJu+NOXEcTvKK6w4Q34cpFENEVPr4CXhgMSR8ocEiz5XK5WP3dbj57dg1hcf6Mv3MgUW0C63zez7Z/RqWrknM6nmNClX/bv38/M2fO5KqrruLUU0/lggsu4J577mHJkiWmXifIO4ju4d1Zlras2pHZyFYBB/dbEhER92lyQcNqs+ByUe2HjMXDA1d102ysnsbvzqqP8bBZcLhc1HWWkYdH3XfZ9fT0rPGxPj4+nHjiiQc/5CdOnMj//d//4XS6sFoshIWFMW7cOJ588kk2btxIbGwsTz75ZJ1rPCAo0k5hThmV5f8MAf4jhhP3+GPkf/kl+x5+5Oinb8X0gvPfgSt+MdZzfDgJXhoOGz4xRqhEmony0kq+fWU9Sz/aTt+TWnPG9b2xB9TtgQcY75kLNi/gxNYnEm6vutve0cjLy+Pyyy8nISGBG264gdmzZ/P111/z7rvv8tBDDzF8+HD69u3Lb7/9Zsr1AIbGDmV/yX62526v8hh7oBcVpQ4qyvUwQkTEnZpc0AgMs+NyuijMrrojkWd8HBXJVbRVBaOlrafv33tpHEZCiC/llU4yCuvW+ciMhdZ1OUe3bt0oKioiq6iccP9/3qx4eXnRvn1707pOgTFtASDvME8TA085hej77iPn7bfJfP6F2l0gti9cuAAm/2jsybHwUph9DGz8gjqnQhE3y04v4oMZK9mzMZtTruzJ0HPaY7WZ8za9I28Hu/J3cXb7s0053/r16+nfvz+vvfZatW24165dy+jRo017oNEuqB1hPmGsy1hX5TH2v97rSgrU5lZExJ2aXtCIMBaB52dVPSzulZBARVX7N4DR0jakjdHitgqtwowb5j3ZxVUeUxMDBw7Ey6tuTyOHDx9+xGOysrIYPXo0b731FomJiezcuZOFCxfy+OOPc9ZZZ7H0l+949eGb+eKLL9iyZQubN2/mySef5KuvvuKss86qU32HCoo01s78e/rUASETxhNx441kvvAC2W8ceZF7leIHwMUfweXfgm8YvH8hzB4Jm79R4JAmaduq/XwwYyVYLIybPoB2fSNMPX9iRiIWLPSK6FXnc2VmZnLKKaewfXvVowqHcjgc3Hrrrbz++us1vsbEiROxWCwHf4WFhTFmzBiSkpLoEtqFLTlbDv63Zcv+2YnK6uXivBuGExTuyy+//HI0X5qIiJioyQUN/1AfLBbIz6g6aHjGJ+DIzcVRWE0v9ZA2RxzRANiTVbegER4eznnnnVfr1wcHB3P++ecf8Th/f38GDx7MM888w8iRI+nRowf33HMPU6ZM4elnZ2GPaE2Qvx8333wzffr0YciQISxYsIC5c+dy8cUX17q+f/MN9MLD20ZeNd+fsCumEHrZZex75BHyPvusbhdsNQQu/QwmfgneAfDuBJgzGrb+oMAhTYLT4WTJh9v4ds56WvcI47zb+xMS7Wf6dZIyk2gf3B5/r7pvQnrZZZeRUt3DnCpcffXVbN26tcbHjxkzhvT0dNLT0/nxxx/x8PDg9NNPp1NIJ3LKjMXeCQkJvPbaa/943ZfffIbdp+6tyUVEpG6aXNCw2az4h/gc7D51OF5/7Qhe7ahGcOtqg4bdy0ZEgDfJOXULGgB33nkn9upa7VZj+vTp+Poe+QPT29ubRx99lFWrVpGbm0tRURGbNm3iwQcfpNhpJSgqnqeee5HNmzdTXFxMTk4Oy5cvZ+LEibWqqyp/t7it+u/NYrEQedutBJ17Lml33EnBzz/X/cJtRhhh45JPweYJb4+FeSfB9p8VOKTRKs4v57OZa1n7YzLDz+vASZO74+VT93Vdh5OUmUTP8J51P09SEl988UWtXltSUsLMmTNrfLy3tzfR0dFER0fTp08fpk+fTnJyMgHlAdgsRtesSy+9lPfee4+SQ9pnv/baa5w66txa1SgiIuZpckEDjOlT1U2dOtBx6sDGfYcV0sZocVvNQuKEEHudp04BdO/enRdffPGoX3f66adz22231fn6WYXGPOW6dtCqqeBIe7UjGmCEjZgH7sd/1HGk3nAjxStW1P3CFgu0O86YTnXRh+BywJtnw2unws5FdT+/iIn27shjwSMryE4v4qwb+tDnhFb1toFeSWUJW3O20iO8R53P9corr9Tp9W+88QalpVU/KKpKYWEhb731Fh06dCA2KpZ2Qe0A6N+/P23atOHDDz8EYM+ePfz222+cfeq4OtUpIiJ11zSDRri92qlTttBQLL6+1S8ID2ljtLgt3FvlIa3D/Niyz5xNnyZOnMgrr7yCt3fVbXkP9b///Y93333XlBuPtLwSPGwWAn1q3r2qLoIifKtco3Eoi4cHcU89hb1vX5KvvobSP/80pwCLBTqcYCwYv2ABVBTB66fD/NNh91JzriFSSy6Xi/W/pfLxU6sJCPVm/J2DiOsUUq/X3Ji1EYfLYcr6jNWrV9fp9QUFBWzbtq1Gx37xxRcHNyMNCAjgs88+4/3338dqtdIppBMAlc5KLr/8cl599VUA5s+fz6mnnkpMXFSd6hQRkbprmkEjzF7t1CmLxYJXfHz1U6cO7KFRzfSpk7tHsT41nz/T8mtZ6T9NmTKFpUuXcvrpp2O1Hv6vvlu3brz22mu8++67+PvXfS610+li+Y5sesUHY7XWz9PSfwuKtFOQU0plxZFbS1q9vYl//nm82rRhz5QrKN+1y7xCLBbodDJc8Sv87x0oyYXXxsAbZ0PycvOuI1JDleUOfnp9I7++s5nuI2I5+6Z++IfU7OFDXSRlJmH3sNMhuEOdz2XG3kA1PceoUaNYu3Yta9euZfny5Zx88smccsop7N69+2DQ2F+8n4suuoilS5eyY8cO5s+fz+WXX47PXy2BXU5NnRQRcZf6mQxczwIjfCgtqqC8pBIv++G/BM+EBMpTqpk6FfxX0MjaDq2HHfaQE7pGERXozZvLdvPouXWf2wzQt29fPv/8c3bt2sWiRYvYsWMHxcXFtGnThl69etWow9TR2LKvgP0FZfxvUCtTz1udoAg7uIxd3ENjjryo1ebvR8KcV9h9wYXsuXwSrd95G8/oaPMKsligy2nQ6RTY9Dn8/CjMOxE6nAij7oC4/uZdS6QK+ZklfD07idy9xZwwsSudh8Q02LUTMxLpGtoVD2vd3/Lr2kXvaM7h5+dHhw5/h6O5c+cSFBTEnDlzePDBBwFILUwlLCyM008/nUmTJlFaWsopp5zCptXVvP+LiEiDaJpBI9xYWJ2fVUJ4fMBhj/GKj6Pwt2rm5Xv5QtwA2PAR9Dt81yUPm5ULBrXm5V+3c8epXUydetSmTRvatGlj2vmq8vu2TGKCfGgfYX4Xm6oER/61l0ZGSY2CBoBHSAitXp3HrgsuZM/kybR+8008QkyeTmK1QrezoMsZ8OfH8MsMo0NV51PhuOkQ09vc64n8Zff6LL5/dQPevh6Mvb1/le9b9SUpM4mT25xsyrnatm3L7t1Vtwav6Tlqw2KxYLVaKSkpOTitNK0wDYDLL7+cU089ldtvvx2bzYbTYay/szTQSK6IiPxXk506BZCfUfX0Kc/4BCpSU3FVt2v0wMmw/SdjVKMK/xuUQIXDyUerjr6Vo7vlFJeTlJrHiI7h9bbI9HB8g7zw8LRW23nqcDxjYmg1bx6OrGySr7wKR6F5Gwn+g9UKPcbCNcvg3DmQsdnYg+P9i2Dfhvq5prRILqeLFV/u5IsX1hHdPohxdwxs8JCRWZJJelG6KR2nAEaMGFGn18fExNCuXbsaHVtWVsbevXvZu3cvGzdu5Prrr6ewsJAzzjjj4DG5ZbnkluYyZswYMjIyeOCBBwBwOTRlSkTE3Zpk0LAHeBp7NRxm9+kDfLp3x1VeTvEff1R9ou7ngD0EVr5a5SFRgT6c3D2aN5ftxtXE2qQu35lFkI8nA9uENuh1LRYLQZH2Gi0I/zfvdm1JmDOH8u3bSZ16Pc5qdhyuM6sNeo2Ha5fD2S/B3iR4aRgsnAj7N9XfdaVFKC2q4MuXEln+xU4Gnd6W067uhY9fwzRkOFRiRiKAaUHjiiuuwGaz1en1Hh41G0z/5ptviImJISYmhsGDB7NixQoWLlzIcccdd/AYC5aDm/eFh4cfnJbl1NoMERG3a5JBw2KxEBTuQ0E1QcPetw/eHTuQ8867VZ/I0wf6Xgxr3oLyqp++XzSkNdszivh58/66lN2gSisq2ZRewPCOYfh41v6moLaCIn3Jy6hda2B7j+7Ev/gixStXkXbrbbgcR15UXic2D+hzAVy3Es58DlJWwYtD4MPJkFnzzcVEDshMKWThoyvYuz2P06/tzcDT2rptCs/6zPWE28OJ9jNn3VNCQgJXXXVVrV4bExPDtddeW6Nj58+fj8vlOvgrPz+f5cuXM3bs2IPHuFwuRp86ms05m//zen/fAH55e+M/QomIiDSsJhk0wFinUd2IhsViIfj88yn46Scq9lbdwpYBl0FpnrFWowpD2oUyrH0Yt32QxP78o+//3tBcLhd3fbKe91ck0y0myC01BEUceS+N6vgNHkTcM09T8MMP7L3vvoYZTbJ5Qr9L4PpVcNpTsHsJvDAIPr6q2ul1Iofa/MdePnxsJV52D8bdMZDWPcLcWk9iZiI9w3uaOn3yqaeeYsCAAUf1Gg8PD95//30iIiJMqwOgc0hntuVuw+H85wMJpxOsHk32I05EpFlosu/Cxu7T1d/IBp15JlZvb3IXLKz6oNB2xp4LK+ZWeYjFYmHm//pitcB1766h0lHNuo9G4LXFu/hwVSr3ntGNhNAj7ypeH4Ii7BRkleKorP3fVcDxxxPz0EPkLvyAjKefNrG6I/DwgoGT4PrVMOYxY3fx5wfCp9dW2w5ZWjZHpZPf3tvCD6/9Sfv+kZx7a3+jA5sbOV1ONmRuMGX/jEN5e3vz9ddfc9JJJ9Xo+LCwMD7//HOOOeYYU+sA6BTaiZLKEpIL/tllyulwNlhLbxERObymGzQifY0b2Wpu+m3+/gSedSY5Cxfgqqio+mQDJ0PaGkhdVeUhEQHePH9BP1btzuGJ7/47TN9YrNqdzSNfbWTyiLaM6dFw7TP/LSjSF5fLaOlZF8HnnE3k9NvJmjOXrHnzTKquhjx9YPAVMG0tnPQQbPkWnusPn0+DXLXOlL8V5ZbxydNr2LAolWPP78Txl3bF06vhpyz+2868nRRWFJq2PuNQ4eHhfP3118yaNYv27dsf9hi73c7EiRNZvXo1Y8aMMb0GgAT/BOwedrbkbPnHv3c6XVhtChoiIu7UJNvbgvHE3Ol0UZhdSlBE1U/tQ/53PrnvvkfBjz8SWNUHXccTIagVLJ8L51S9p8KgtqHcPqYzj3y1if6tQjipu4l7PZggq7CMa99eQ5+EYG4/pYtbawmONJ7k5mWUEBJdt9a6YRMn4sjNZf8TT2ILCiL4vPPMKLHmPO0w9BrofymsmAeLn4U1bxv/fMzNEBjbsPVIo5K6JYdv527AarVwzs39iG7nnumKh5OYkYgFC93DutfL+a1WK9dffz3XXXcdixYtYuPGjezevZuQkBDatWvHqFGjCA2t32YUVquVjsEd2ZyzmZPa/D3C4qp0YbU12WdpIiLNQtMNGn/dyObuL6k2aPh07oR9QH9y3nm36qBhtcGQq+G7u6D3BGh3XJXnm3JMO1buyuHmhev4LCqAtuENtz9Fdcorndzw/loqHE6ev6Afnm7+gPUL8sbmaa1V56nDiZg2DUduLun3/h/WwEACazhlw1RefjB8Kgy4HJa/Aktmweo3jXU+I26EgMYVPKV+uVwu1v2YzJKPthPbIYiTJvfAN7Dum9mZKSkziXZB7fD38q/X61gsFkaOHMnIkSPr9TpV6RzSmQ+2fkBReRF+XsZ7stPp1IiGiIibNdnHPf4hPlg9LDW6kQ05/3yKly+nbNu2qg8afCW0PRY+mAT5aVUeZrFYeHJ8byICvDn7hcX8vMn9najS80r43ytLWbYji1nn9yU6yMfdJWGxWv5aR1O7zlP/OZ/FQvQ99xA45mTSbr6FoiVLTDlvrXj7wzE3wbREGHkrrHsXZvaGb++Cwgz31SUNpry0ku/mbmDxB9voc3wCZ07r0+hCBhgdp3pGmD9tqrHpFNIJFy625v7dJc7pcGmNhoiImzXZoGG1WggKt9eohWrgiSdiCwsj5933qjmhDcbOBQ9vWHgZOKpe0xHo48nHVw9nQOsQLpu/gqe+24zDTT3bF23N4LRZv7M3r5QFVw5leIdwt9RxOHXtPPVvFpuN2Bkz8B0yhOTrrqckMdG0c9eKTyAce6sROIbfAKvfgJm94Pt7oSjLvbVJvcnZW8QHj61i9/osTp7Sg2FjOzTKKTollSVsydlSL+szGpsgnyBaBbRiZ+7Og//OYrHg6e3+dTIiIi1Z4/t0PApBkb41GtGweHkRPO488j75BGdRNbtN+4XDuPmQuhJ+uK/6a/t6MueSAdw2pjMv/LyNS179g8zCsqP7AurA6XQx68etXPLqcnrEBfHF1GPo2yqkwa5fE0GRvuSaGDTA+F7Gz3wWn86dSZ5yRfWjVA3FHgyj7oBp62DINcY6jpm94McHoTjb3dWJiXaszWDhjJXgcnHe9AF06B/p7pKqtDFrIw6Xw/SOU41Vr/Be7C/Zf7AVts3Lipdvk50dLCLSLDTtoHEUT8xDxo/HWVpK5tyq29gCkDDI6DC09Hn489NqD7VaLVxzXAfemjyYzXsLOG3WIpZur/8n2fsLSrls/gqe+WELNxzfifkTBxLq1/imbRxscWtyO2Crry8JL7+ER1QUeyZNpiI11dTz15pvKBx/jzHCMXAyLHvRmFL186NQkuvu6qQOnE4XSz/eztcvJ9GqayjnTR9AaEzjWJ9VlaTMJOwedjoEd3B3KQ3Cx8OHN/58g225xsOHnWszSd+W696iRERauCYfNPIzS3DW4EbWMzaWiOuuJevl2RQuWlT9wYOvgm5nwyfX1mijtmHtw/ly6jG0DvXj/DnLOOuFxXywKoXSCvN2tHa5XKzYlc3Ud9cwfMZPJKXm8fplg5h2QsdGOw85KNKOy+miINP8TQ5tQUEkzJ2DxdOTPZdPojIz0/Rr1JpfGJx4vxE4+l1idKma2Qt+fQJK891dnRylkoJyPp+1ljXf7Wboue05+YoeePk0/ifliRmJdA3tioe18ddqht6RvalwVrAo1Xh/Ly2qwNW4tzwSEWn2mnbQiLTjdLgozKnZlKWwK6/E75gRpN16GxVpVS/4xmKBM5+DgCh4/2IoP/I6kKhAH969YghzLxlAsN2TWxauY8ijP/LIVxvZnVXNdK0jKCyr5K1luzll5iLGvbyUpNQ8bh/ThZ9vPo6RnczdYddswZFGNzAz12kcyjMyklavzsNRXMSeKVfgKCiol+vUmn8EnPywMaWq9wXw2xNG4Fj0NJQVurs6qYF9u/JZ8MgKslILOXNaH/qd1NrUHbbrU1JmUotYn3GAt82bAVEDWJJqNIpwVDqxaWdwERG3atKPug7cyObuLyYw/Mg78FqsVmIfe4ydY8eScuONtHnzTSxeVUw58gmE8W/C3OPh1ZNh/BsQ2rba89usFk7oFsUJ3aLYlVnE23/s5v0Vybzy2w6GdwijW0wgCaG+JIT60irUl7hgOz6exmJFp9PFvoJS9mQVk5xTwp7sYnZlFvHTpv0Ul1dyQtco7jqtK8PbhzfaEYx/8w/2xuZh/WvBfli9XMOrVStazZ3L7osvIeXqa0iYOwerj/u7bv1DQDScMsNojbvoKfj5EWNq3vAbjClWXu7ZvV2qt2FRKr+9v4Xw+ADGXNGDgNBG9nNVjcySTNKL0ltEx6lDDY8bzpMrn6S4ohhHhRObp4KGiIg7WVwHVs41QU6Hk9lTf2XEuI70PC6+xq8rSUpi1wUXEjJhAtF331X9wemJsOASKMmGs1+GLqceVY2lFQ4+X5fGl0np7M4qJiWnmArH33/l0YE+2L1spOaUUH7IFLDIAG8SQn0Z1j6M8we1Ijb4yEGqMXrnvmXEdw1l5IRO9Xqd4tWr2XP5JPyGDiV+1kwsnp71er06yU2GRU/CmrfAHmrswTHgMmNjQHG7ygoHv723hY2L0+k+Mo5jxnVscjesP+/5mak/T+W7sd8R4x/j7nIazK68XZzxyRk8P/p59sz2pEP/KIaec/hdy0VEpP416RENq81KYPjRt1C19+xJ1B3T2ffAg/j260vgqdWEh5hecOWv8Mk18N75xlPo0feArWZ/dT6eNsYNSGDcgAQAHE4Xe/MPjFwUk5xdTHG5g4QQO63CjJGO+BDfgyMdTV1NO4PVlW+/fsQ/N4vkq68h/e67iXn0USzWRnpzGJwAZ8w0AsZvT8B3d8PimcYu4/0vNVosi1vkZ5Xwzez1ZKcXMfqSrnQd1jRv0pMykwi3hxPt17I2kWwd2Jo4/zh+T/2duIpjsXk0jdFfEZHmqkkHDTDWadRmU7iQ88+nZNVq0u++B+8uXfBu167qg32CYMJbsOQ5o+1tyko471VjDcdRslktxAXbiQu2M7SephM1JkGRdnYlNsxCbf9jjiH2sRmk3XIr1qAgou64o3HPpw9pA2e9ACNuMgLHN7cbC8ePuRn6Xgweja+TWHOW/Gc2383bgKePjbG39ieiVYC7S6q1xMxEeob3bNw///XAYrEwPHY4S9KWcG7lyCY3EiUi0tw0+Xfh2m4KZ7FYiHngfjxiYkidNg1n8RHCisVizLGf+AVkbYPZx8Cu32tZdcsRHGGnILO0Rp3BzBB02mlE33sPOW+8SeZLLzXINessrD2c8zJcuxxaD4Mvb4bn+sOq16vdOFLM4XK6WPn1Lj57bi2RbQIYf+fAJh0ynC4nGzI3tJj9M/5teNxw9hTsIdu6T4vBRUTcrMm/CwdF+JKXWYKzFjtzW/38iJ81k/LUNNL/7z5qtFyl9TC48jcI7wSvn2E8iXaa18a2uQmK8MXpdFGQbX6L26qEnH8+EdOmkjnrObLfeafBrltn4R2N3emvWQbx/eHzqfD8AFj7Djgq3V1ds1RWUsnXs5P449MdDDilDadd2xsfv0a8vqcGduXtorCikB7hPdxdilsMih6Eh8WDXf5/KmiIiLhZk38XDoq046x0UVjLG1nv9u2JefAB8j//nJx3363ZiwKi4OJPjCkuPz8Cr50KObtqdf3mLijSWODcEOs0DhV21VWEXnoJ+x58iLwvvmzQa9dZZBdjh/qrFkN0T/jkanhhECQuUKg1UVZqIQsfWUHqllxOu6YXg89s12Q6ulUnMTMRCxZ6hLXMoOHv5U+fyD7sDtyoqVMiIm7W5N+Fgw/cyNZhr4ag004j5KKL2PfoDErWrq3Zi2weMPpumPgVFKTBSyOMJ89Nt4lXvfAP9cFqs9TbXhpVsVgsRN5+O0FnnUXa9OkU/vprg17fFNE9jLVBV/4GEZ3hoynw4hBY/yE4tRNZXWxZsZcPHluJh5eNcXcMoE2vcHeXZJqkjCTaBbXD38vf3aW4zZCooaQGbcFpUzAXEXGnJh80AkJ9sFrrfiMbddut2Hv0IOWGG6nMyqr5C1sPNZ48dz3DePK84BIozq5TLc2J1WohMNxObi0W7NeVxWol5qEH8R85kpRpN1C8alWD12CKmN5w/rsw5SdjAfkHl8PLw+HPTxU4jpLD4WTRgi18P+9P2vWJYOzt/Q/ux9NcJGUmtbj9M/5tSORQKm3lbC37092liIi0aE0+aFhtVgLCfGrVeepQFi8v4p59BldFBak33Yyr8ijmxPsEwjkvwbjXYdcieHEobPuhTvU0J8GRtVuwbwaLhwdxzzyNvWdPkq+6mtJNm9xShyni+sOFC2HSD8YmgAsugdkjYdOXGkmrgaK8Mj59Zg3rf0nlmAmdOOGybnh6NY820geUVJawJWdLi9oR/HDa+3fEXu7PuuIm+nBBRKSZaPJBA4y9GnJNWAPgGRVF3NNPU7xyJRkzZx79CbqfDVcvhciu8NZY+Oo2qHDPDXZjEhTRMHtpVMXq7U38Sy/ilZDAnslTKN+92221mCJhIFz8MVz2DfiGwHsXwCvHwZZvFTiqkL4tlwWPrCAvo4Szb+5Hr1HxzbL168asjThcjhbbceoAlwMS8rqyumC5u0sREWnRmknQMO+Jud/gQUTefDNZc+aS//33R3+CwBi46CMY8xismg+zj4X0dabU1lQFRdrJzyxpsBa3h2Pz9ydhzivY/P3Zc/kkKvbtd1stpmk9FC79HC79wthV/J3xMPd4YzRNgQMAl8vFup+S+eTpNQRF2Bl/50Bi2ge5u6x6k5SZhI/Nhw7BHdxdils5KpzE53ZhZ8l2Mooz3F2OiEiL1TyCRoSd/IwSXLVocXs4oZdNJODkk0mffgdlO3ce/QmsVhhylbGjuIcXzDkefn+mxXYMCoqw43S4KMwpc2sdHmFhtJo3F5fDQfLkSThyc91aj2naHgOXfW10QrNYjdG0V0+GHb+06MBRUebg+1f/5PcFW+k5Kp6zbuyLX1Dz3nU9KTOJbmHd8LA2+b1Y68RR6SQhtwsWLCxJW+LuckREWqxmEzQclU4Kc825kbVYLMQ8/DAeUVGkTp2Ks6iodieK7AqTf4Sh18IP98P80yGniU/bqYWgvxbbunP61AGecXG0mjeXyoxMkq+86sgbNTYVFgu0HwWTvocLPzQ2+nvjLJh/WovcWDJ3fzEfPr6SnesyOGlSd0aM64jN1ize7qqVlJHU4tdngBE07JX+dAzozOK0xe4uR0SkxWoWn7zBB29kzbtptPn7Ef/cLCpS00i/596abeZ3OB7ecOL9MPFLyEuGl0fAuvda1JPmgFDvvzqDNY6beu/27UmY8wplW7eScv1UXOXl7i7JPBYLdDzB6FB1/vtQVmCEjdfPhD3L3F1dg9iZmMnCR1dSWeHkvOkD6Dgwyt0lNYjMkkzSitJafMcpMKZOAQwOH8LStKU4WuhosoiIuzWLoBEQ5oPFhBa3/+bdvj0xjzxM/ldfkfPmW3U7WZvhcPVi6HwqfHwlfHBZi2mDa7VZCQj3MWXBvlnsPXsS/8LzFC9fTurtt+NyNLMbEYsFOo8x9uCY8DYUZxnTqd48F1JWuru6euF0uvjjsx189WIicZ2CGXfHQMJiW85eEkkZSQD0Cm/ZC8HBGNEAYz+N3LJcNmZvdHNFIiItU7MIGjYPKwGh3vUyNSdwzBhCL7uMfY8/Xvd9GHyC4NzZcN6rsP0neGk4bP/ZnEIbueBIX7e1uK2K39ChxD79FAXffsfeBx6s/ahVY2axQNfT4cpFRvvl/FRjwfjb4yFtjburM01pYQVfPr+OVV/vYsjZ7Tjlyp5421vWOoWkzCTC7eFE+0W7uxS3q/xrRKNXeG/8Pf35PbXlTR8UEWkMmkXQAONGtr42hYu8+SZ8+/Qh5YYbqNhvQreiHmONNrjhHeHNs+GbO6GitO7nbcSCIuymTm0zS+CJJxLz4APkvv8+Gc/WoqVxU2G1/tV+eQmMnQfZO4yWuO9eAOmJ7q6uTjL2FLDg0RXs313AGVP70H9MGyzW5te69kiSMpPoEd6jWbbtPVrOSuOhgbe3J4NjBmtBuIiImzSboBEUUX+bwh3Y9M2ChdSbbsJVUVH3kwbFGV2CTn4EVsyFOaNgb1Ldz9tIBUXaycsswWlSZzAzBY8dS+Stt5I1ezZZr813dzn1y2qDnufBtX/AOa9AxkaYfQy8fzHsa3q7KG9cksaHj6/C7u/J+LsGktA11N0luYXT5WR95npNm/rLgalTNg8rw+OGk5iRSH55vpurEhFpeZpP0Ij0NbXF7b95REQQN/NZStauY/9TT5tzUqvV6Eh1xc+ABeaMhsWzwOm+/SbqS1CEL85KF4U5jXPkJmzS5YRNmcL+xx4j98OP3F1O/bPaoPcEuHYFnPUCpK+Fl4bBwssgY7O7qzsiR4WTn9/exE9vbKLz4CjOuaUfAaE+7i7LbXbl7aKwolALwf9yMGh4WhkeOxyHy8Ef6X+4uSoRkZan+QSNCDuVFU6K8upvrwbffv2Iuu02sufPJ//rr807cVR3I2wMvhK+vxfeOBPyUsw7fyMQFGkHaHTrNA4VcdONBI8fT/o991Dwww/uLqdh2Dyg70Vw/Wo441lIWQEvDIYPp0DmNndXd1gF2aV89OQqNi/dy6iLujDq4q54eNrcXZZbJWYmYsFCj7Ae7i6lUaiscIIFrFYLsf6xtA1qy+JUtbkVEWlozSdoHLiRrefORiEXX0TgaaeRdtfdlG0z8UbMwxtOeggu/cyYP//iMEj6wLzzu9nBzmCNqPPUv1ksFqL/714CTjqJ1BtvomhZC3oCavOE/hPh+lVw2pPG3hsvDIRProHsWmxaWU+SN2Wz4JEVFBeUc+6t/eg2ItbdJTUKSRlJtAtqh79Xy+myVR1HpRObh/XgepXhscNZnLa4eTZ8EBFpxJpN0AgMs2Ox1P8Tc4vFQsyDD+AVF0fK9VNxFBaae4G2I402uB1PhA8nwQeToCTX3Gu4gc1mJSDMp1EuCD+UxWYj9vHH8B04kJRrrqEkab27S2pYHt4wcDJMXQNjZsC2H+C5/vDZ9W7dbNLlcrH62918PnMtEQn+jL9zIJGtA91WT2OTlJmkaVOHOBA0DhgeN5y9RXvZkbfDjVWJiLQ8zSZo2Dyt+If6NMimcFZfX+JmzaQyI4P0O+8y/ymZPQTOmwfnzoWt3xttcHf+Zu413CA4sv4W7JvJ6uVF/HOz8O7YkeQrrqBsRwu8OfH0MabyTVsHJz0Im782AscXNzb4tL7ykkq+mb2epR9vp9/JrTn9+j7Y/b0atIbGrLSylC05W7Qj+CGclU5snn9/vPWP6o+X1UvTp0REGlizCRpg3Mg21KZw3m3bEjvjUQq++47sV1+rn4v0GmeMboS2NXZ2/u5uqKy/NSj1LSii8e2lURWrnx8Js1/GIzyMPZdPoiItzd0luYen3WhYMG0dHH8PbPgEZvWFr26F/PR6v3x2WhELZ6wkZVM2p1zVkyFnt8faAlvXVmdj9kYcLoeCxiEclS5sHn//nNg97AyIHsDiNAUNEZGG1KyCRlCEb4OuAQg44QSjU9FTT1H0x/L6uUhwAlzyGZz4ACx72ehMtW9D/Vyrnh1oQVxfncHMZgsOJmHuXCw2G3smTaYyu2Xs5H5YXn4wfBrckAjHTYfEBTCzN3xzBxTsq5dLblu1n4WPrcRqszDujoG06xNRL9dp6hIzEvGx+dAxpKO7S2k0Kiv+OXUKYFjsMFbtW0VpZePsfCci0hw1r6ARaScvo7hBF/xFTJuK7+BBpN50ExX76ueGC6sVhk81OlM5HfDKKFj6QpNrgxsUacdR4aQwt+mMynhGRdFq3lwc+fkkT55i/pqcpsY7AI652QgcI2+BNW8bgeO7u6Eo05RLOB1OFn+wlW/nrKdNzzDG3taf4ChfU87dHCVlJtEtrBse1pa1E3p1/r1GA2BE3AjKHGWs3LfSTVWJiLQ8zStoRNipLHdSnFfeYNe0eHgQ99RTWDw9SZ12A67yerx2dE+44hcYOAm+vdPYVTwvtf6uZ7LgSONmsalMnzrAq00bWs2dQ/mePaRccy3OsqYTlOqNTxAcexvcsA6GXQ8r58OzveCH+6C49iM/xfnlfPrsWtb9lMKIcR05aVJ3vHx0A12dpIwkTZv6l8MFjXZB7YjyjdI6DRGRBtS8gsbBG9mG7WzkERpK/MxnKdmwgX2PPV6/F/P0gTGPGruKZ26Bl4bC+qaxwVxAmI/RGayRd546HJ+uXUl4+SVK1q0j9aabcVVWurukxsEeAqPvMkY4Bl8Jf7wCz/aEnx6CkpyjOtXeHXkseHg5OfuKOfvGvvQ+PuFge1I5vMySTNKK0tRx6l+cFU48PP/58WaxWBgRN0LrNEREGlCzChqB4T5gocEWhB/K3rs30XfdSc7bb5P3+ef1f8H2o+DqJdBuFHxwGXx0BZTm1f9168DmcaDFbdMa0TjAd8AA4mY+S+Gvv5J+z724mtjUtXrlGwon/J8ROAZcDkueN0Y4fplxxJ9Ll8tF0i8pfPzUagLD7Uy4cyCxHYMbpu4mbn2m0X5ZIxr/5Kh0YvX478fbsNhh7MzbSXph/TcyEBGRZhY0PDxt+Id4u21qTvCECQSdfTbp99xL6ebN9X9B31AYNx/OmW20H31pOOxq3E/rgiKbTuepwwk47jhiH32EvI8/Zv/jT2gDsH/zCzfa4d6QCH0vht+fMQLHb09CWcF/Dq8od/Dj/I389t4WeoyM46wb++IX7O2GwpumxIxEwnzCiPGLcXcpjcrhFoMDDIkdgs1i06iGiEgDaVZBA4x1AO6amnNgZ2mvNm1ImToVR35+Q1wUev/PaIMb3Armnwbf/x9UNtw6laNhdJ5qelOnDhV0xhlE3X032fPnkzX7FXeX0zj5R8KYR2DqWug1AX59zAgcvz8L5UWAsVbnw8dXsX31fk64rBvHTOh02JtDqdqBjfo0xeyf/t3e9oBAr0B6hvfUOg0RkQbS7D7VD7RQdRer3U78rJk4cnJJm35Hw02vCW4Fl35uTF9Z+gLMHQ37NzXMtY9CUISdvP1Np8VtVUIvupDw664j49lnyXnvPXeX03gFxsCpjxuBo/s5xtqNZ3uR/eFjfPToIirKHIy9fQCdB0e7u9Imx+lysj5zPb3Ce7m7lEbH8a8N+w41PG44y9KXUeGsaOCqRERanmYYNIy9NNw5pcWrVStiH3+Mwp9+ImvO3Ia7sNUGI26EKT8aIxqvHAt/zG5UbXCDIn2prHBS1ICdwepL+LXXEHLRRey9/wHyv/rK3eU0bkFxcPrTuK5bxX7fkQQlPsb5wVdy/kmrCY9SV6na2JW3i8KKQi0EPwxnpROPKkbHhscOp7CikKSMpAauSkSk5Wl+QSPSTkWZg+J8997IBhx3HOHXXE3GzJkULm7gYfqY3nDlr9DvUvj6Nnh7bIPs4lwTwZF2oOE7g9UHi8VC1J13EHjG6aTePp3CRb+7u6RGrbSogi/fyWXhhovZ0PtTvHudgsdP98CsPrB8TpPe9d4dEjMTsWChe1h3d5fS6DgqnVirGNHoFtaNYO9grdMQEWkAzTJoQOPYqyH82mvxGzaMtJtvoSItrWEv7mk3pqxc9CHs+9Nog/vnpw1bw2EEhtnB0ji+P2awWK3EPvww/sOHkzJ1KsWr17i7pEYpI7mAhY+uYO+OPE6/rje9zj0Gy9kvwnUroO1IIxDP6gcrX2u064sam/WZ62kb1JYArwB3l9LoVLUYHMBmtTE0ZqjWaYiINIDmFzTC/woajaCFqsVmI/aJx7H6+pIy7Qac9bmZX1U6nADXLIU2I2DBJfDJNVDaAIvUq2DztBIQ4tMk99KoisXTk7hnn8GnezeSr7qK0s1b3F1So7JpWTofPr4KL7sH4+8cSOvuYX//x7D2cO4rcM0yaDUYvrgRnu8Pq98Eh+bQVycxI1FtbatwuA37DjU8bjh/Zv1JdmntN5cUEZEja3ZBw8PrQIvbxnEj6xESQtysWZRt3sy+hx9xTxG+oTD+TTjrRWNU4+XhsHupe2rBGHVqDEHQTFYfHxJeegnP2Fj2TJ5EeXKyu0tyO0elk1/f3cyP8zfScWAUY2/tT+BfDwL+I6IznPeqsTdMbF/47Dp4fiCsfRcc2hzx30orS9mas5VeEVoIfjiOyv9u2HeoYbHDcOFiaZr73gdFRFqCZhc0oPHdyNp7dCf63nvIff99cj900y7eFgv0vRCu+h0CYmH+qfDjA26ZphIU6UtuM5k6dShbQACt5s7B6uvLnssnUbF/v7tLcpvCnDI+fmo1fy5O47gLOzP64i54eNmO/MKobjD+DePnNKo7fHIVvDgYEheC01H/hTcRG7M3Uumq1IhGFapqb3tAhG8EnUM6syRtSQNWJSLS8jTPoBHR+DaFCz7vPILHncfe+++nZMMG9xUS2hYu+wpG3QWLZ8K8EyGjYaf6HGhB3Bw3u/MID6fVvFdxlZWRPHkKjrzGvVt7fUjdnMOCR5ZTlFvGuTf3p/sxcUe/z0N0T/jf23DFLxDWAT6aDC8OhfUfNaouau6SmJGIj82HjiEd3V1Ko+SoOPzO4IcaFjeMxamLcbr08yQiUl+aadCwk7e/uNHdyEbdfTfeHTuSOnUajtxc9xVitcHIW2DS98bmabNHGl1/GujvKyjCTmUj6AxWX7zi42g1by6V+/aRfNXVOEsaV+itLy6XizXf7+HTmWsJjfVj3B0DiWobWLeTxvaFC96HyT9BcAJ8cJkx9e/Pzxrs57UxSspMoltYNzysag18OEdaowEwInYEWaVZbMnRmioRkfrSPINGpJ3yUgclBY1rManV25v4WTNxFhaSetttDbeZX1Xi+sGVvxlTqr66Bd4eBwX76v2ywZG+QONYsF9fvDt2JOGV2ZRu3kzKtGm43NEIoAGVl1by7ZwNLPlwG31OSODMqX3wDfQy7wLx/Y0Oapd/Z+w6vuBiIyBv/rpFBo71mes1baoKLperRkGjb2Rf7B52fk9VW2oRkfrSLIPGwRvZRjZ9CsAzLo7Yp56iaNHvZL74krvLAS9fOO0puGAhpK8z2uBu/KJeLxkY4fNXi9vGsWC/vth79yb+uVkULV1G2h13uj9Y1pOcvUV8MGMlezZkMeaKHgw7twNWWz29tbQaDJd8ChO/Au9AePd/MGcUbP2+xQSOrJIsUgtT6RHRw92lNEpOpwtcVLsYHMDT5smg6EFapyEiUo+aZdA40Nmmsd7I+o8YTsTU68l84QUKf/vN3eUYOp1ktMFNGALvXwifXgdlBfVyKQ9PG/7B3uQ24xGNA/yHDyfuiSfI//pr9j30UKObzldX29fsZ+GMlQCMu2MA7ftFNsyF2wyHy76ESz8Hmze8fZ6x3mj7T80+cCRlGjta9wpXx6nDcVQYgf5IIxpgtLlds28NRRVF9V2WiEiL1CyDhqe3Db8gr0Y9NSfsyivxP/ZYUm+9jfKUFHeXY/ALNxbgnvmcsej25RGQvLxeLhUU6duovz9mChxzMtH3/R8577xL5nPPubscUzgdTpZ8tI1vZq+nVbcwzps+gJBov4YvpO1IuPwbuPhjI2C8eQ68dgrsbCQBvh4kZiQS5hNGjF+Mu0tplByVRxE0YodT6apkeXr9vM+JiLR0zTJowIEb2cY5ogF/7Sj9+GPYAgNJmToVZ2mpu0syWCzQ7xK4ahH4RcCrJ8NPD5u+eVpQpL3RjjjVh5Dx44m4+SYyX3yJ7DfecHc5dVJSUM5ns9ax9odkho3twMlTuuPl48ZFyRYLtB8Nk3+ACz+AylJ4/QyYfzrsbn7TYpIyk+gZ0fPoO3m1EI4KY0TLWk172wNaBbYiISCBxWnaJVxEpD4046Bhb5RrNA5lCwwk/rlZlG/fwd77H2hc02rC2sNl38Cx02HRUzDvJMjcZtrpm3OL26qET5lC6KTL2ffIo+R+8om7y6mVfTvzWfDICrLTCjlrWh/6ntiq8dzwWizQ8USY8jP8710oyTVGN944q95G5hqa0+VkfeZ6TZuqxsERjSOs0ThgWOwwfk/9vUW9F4mINJTmGzQi7OTub/w3sj5duhB9/33kffwxuQsWurucf7J5wHG3w6TvoDQXZh8DK181ZQ58cIQvFY2wM1h9i7zlFoLOG0v6XXdT8NNP7i6nxlwuFxsWpfLRU6vwC/Zm/J0Diesc4u6yDs9igS6nGh3Vxr8JhfuN9RtvjYWUVe6urk525e+isKKQnhHqOFWVA0HDowZTpwBGxI0gtTCVPQV76rMsEZEWqRkHDV/KSyopLWr8N7LBZ59NyAXns++hhyhJSnJ3Of8VP8DYqbnXBPjiRqPTT2Hddr0OivxrwX4jnt5WHywWCzH33UfA6NGk3nAjRcsb/5P2ynIHP725iV/e3ky34bGcc1M//EN83F3WkVmt0O1MuGoxnPca5CbD3NHwzgRIW+vu6molKSMJCxa6h3V3dymN1tGOaAyKHoSH1YPFqZo+JSJitmYbNIKjDtzINu7pUwdETp+Od7eupEydRmVOjrvL+S8vPzjjWTj/PUhZaezSvPnrWp8uMOJAZ7Cm8f0xk8XDg9innsTevx8pV1/j3p3ijyA/s4SPnlzN1hX7OH5iV449v3ONb+AaDasVepxrdFU7dy5kbYNXjoX3LoS9jTDYVyMpM4m2QW0J8ApwdymN1tF0nQLw9fSlX2Q/rdMQEakHTeyOoeb+bnHbNG5krV5exM+ciausjLSbb8blcLi7pMPrfIpxwxY/wBjZ+Hyasbv4UfL0suEX7E1uCxvROMDq5UX8c8/j1a4dyVOuoGznTneX9B97NmSx4NEVlBVXMPa2/nQZ0sS7HFlt0GscXPMHnP0y7FtvdFZbcAns3+ju6mokMSNRG/UdwdF0nTpgWOwwVuxdQbmjeW+sKSLS0Jpt0PDy8cA30KtJ3ch6RkcT9/RTFC37g4xZjbgNqn+kMbJx+rOQuABePqZWc9+Dm8CC/fpk8/cj4ZXZ2EJC2DNpEhXp6e4uCQCX08XKr3by+fPriG4bxLg7BhKR0IyeoNs8oM/5cN1KOPN5SFtjjNB9cDlkbHF3dVUqrSxla85WekVoIXh1DgSNmnSdOmBE3AhKKktYvX91fZUlItIiNdugAX91nmoiU6cO8BsyhIgbbyBr9uzGvVjYYoEBl8GVi8AebCy2/eUxcFTW+BRBEU3v+2M2j5AQWs2bC8CeSZPdPm2urLiCr15O4o/PdzLwtLacdk0vfPw83VpTvbF5Qr+L4bpVcPozsOcPeHEwfHQlZG13d3X/sTF7I5WuSo1oHIGj0mhW4eFpq/FrOoV0ItwezpLU5tcOWUTEnZp50PBtkk/MwyZPJuDEE0i77XbKd+1ydznVC+8Al38LI2+BX2fAa2NqfJN24PvT2DuD1TfP6GhazZuHIzeX5ClX4Ch0zy7FWamFLHx0Jenbcjntml4MOr0tFmsjaV1bnzy8jNA8dTWc8jjs/BWeHwifXAvZjWdKW1JGEj42HzqEdHB3KY3a32s0av6za7FYjDa3ab/XV1kiIi1S8w4aEU1zUziLxULMI4/gER5OytRpOIsb+ddg84RRdxqBoyjTmEq16vUjtsENirAbncEKG39nsPrm3bYtCXNeoXznTlKuuw5necPOFd+yfC8fzFiJh7eNcXcMoE3P8Aa9fqPg4Q2DpsDUtXDyI7D1O3h+AHw2FXLd3/o0KTOJrmFd8bQ20xEmk9RmjQYYu4RvzdnK/uK6ddQTEZG/NeugERzpS1lR02hx+2+2gABjM7/kZNLvu69pPPVPGGS0we05Fj6fanT1Kcqs8vCgSF+g6SzYr2/27t2Jf+lFStasIe3mW3BV1nwaWm05Kp389v4Wvn/1T9r3i2Tsbf0JivCt9+s2ap4+MOQqmLYOTrgfNn0Js/rBFzdBXqrbykrKTNK0qRqobdAYGjsUCxa1uRURMVGzDhpBEU2rxe2/eXfsSMxDD5L/2efkvPOOu8upGW9/OPM5mPA2JC8zFtlu+e6wh/79/WnkIzYNyG/QIOKeeYaCn36q94BZlFvGp8+sYcNvqYz8XyeOn9gVT6+az2tv9rx8Ydh1cEMijL4bNnwMs/rAV7dBwd4GLSWrJIvUwlRt1FcDjgonVpvlqKf9hfiE0D2sO0vStE5DRMQsLSNoNMHpUwcEnXYaIZdczL5HZ1C8eo27y6m5rqfD1Ushpje8Mw6+vBnK//l98PS24RvkRW4TDYL1JWD0KGIfeZi8Dz5k/5NP1ss10rbmsuCRFeRnlnDOzf3oeVw8FksLWI9RG15+MOIGI3Acezskvg8ze8M3d9Z548qaSso09vvoFa6OU0fiqHQe9WjGAcPjhrMkbQkOZyNtLy4i0sQ066DhZffAHuDZ5G9ko269FXuvXqTecAOVmVVPRWp0AqLgwoVw6pOw5m2YPRJS/9k+MriJLtivb0FnnUXUnXeQPe9VMufMMe28LpeLdT8m88kzawiO8mX8XYOIbhdk2vmbNe8Ao+nBDYkw4kZY8yY82wu+u6faKYJmSMxIJMwnjBi/Jr6XSQOoa9DIL89nQ1bj3URTRKQpadZBAw7cyDbdEQ0Ai6cncc8+g8vpJPWmmxtk7r5pLBZjge2VvxlPhuedCL89cbANrtHitml/f+pL6CWXEH7N1WQ89TQ5CxbU+XwVZQ6+f/VPfl+4ld6j4znrhj74BnqZUGkL4xMEx003Asew62Dlq0bg+OF+KM6ul0uuz1xPz4ieGnWqAUeF86g6Th2qZ3hPAjwDtE5DRMQkzT5oNJe9GjwjI4l/5mmKV61i/zPPuLucoxfRCSZ9D8NvgJ8fgfmnQvZOY68TjWhUKfz66wm54AL23nc/+d98W+vz5O4r5oPHVrIzMZOTJndn+Hkdsdqa/f/+9cseYqzdmJYIg6+AP142AsdPD0NJrmmXcbqcRtDQQvAacVS6sHnW7mfbw+rBkNghLE5T0BARMUOzv9NoTjeyvgMHEnnrLWTPe5X8bw+/wLpR8/CC4++By742FtO+PIKgwpWUFavFbVUsFgtRd99F4CmnkHrrrRQuPvoboB1rM1j46AqcDhfjbh9AxwFR9VBpC+YXBifcZwSOARNhyXNG4Pj1cSjNr/Ppd+XvoqCiQEGjhuoydQqMNrdJmUnkleWZWJWISMvUAoKGL6WFFZQVN48b2dBLLyXglDGk33knZTt2uLuc2mk1xGiD2+0sgtY8CEDunnQ3F9V4WaxWYmc8it/QIaRcP5WSdetq9Dqn08WyT7bz9ctJxHcJZdz0AYTG+tVztS2YfwSc9JDRFrfvhfDbk/BsT1j0FJQV1Pq0SRlJWLDQI7yHicU2X45KZ61HNMBYp+F0OVmWvszEqkREWqbmHzQOdp5qHqMaFouF2IcewiM6mpTrp+Iscs8u0nXmEwhnv0jQuAcAyHv/Ttj2g5uLarwsnp7Ez5yJT5cu7LniSsq2bq32+JLCcr54bi2rv93N0HPaM+bKHnjZPRqo2hYuIArGPArT1kKv8fDLDKNL1eKZUH70/78mZSbRNqgtAV4B5tfaDBlrNGr/0RbtF037oPZapyEiYoKWEzSawTqNA6x+fsQ/N4vK9HTS7r67aWzmVwWvPmdh97eR59Ud3hoLX90KFc3ne2Umq91Owssv4RkdzZ5JkylPOfzmcft357PgkRVkJBdyxrQ+9Du5tRYRu0NgLJz6BExdA93Ogh8fNALH0heO6mc8MSNR06aOQl2nTgEMixvG4rTFTfq9VUSkMWj2QcPb1xMff09ym1lnI+927Yh59FEKvv6G7Ndfd3c5dRIc7U9e9BlwyuOw+g2YfSykrXV3WY2SLTCQhDmvYPH2Zs+ky//T7vjPxWl89MRqfAO8GH/nQBK6hLqpUjkoKB5OfwauXwWdTzHa4c7sA3/MhorSal9aWlnK1pyt9IrQ/hk1ZQSNugXrEbEj2F+8n22520yqSkSkZWr2QQMguBktCD9U4MknETrpcvY/8STFK1e6u5xaC4qwk5dZCoOvhCt+NRaNzz0BFj0N2jjrPzwjI2n16jxcxSXsmTwFR34+lRUOfn5rEz+/uYkuQ6M595b+BIT6uLtUOVRIazjzObh+JbQfDd9Mh1l9YcVcqCw77Es2ZW+i0lWp9RlHweg6Vbcd7vtF9cPb5q1dwkVE6qhFBI2gCN9mNXXqUJE33ohv//6k3HgjFfsbZpdis/3j+xPZBSb/ZOxP8OMDMP90yNnt3gIbIa+EBBLmzqUiLY1dU67ikxlL2bxsL6Mv6cJxF3ap02JYqWeh7eCcl+DaFdBmBHx5CzzXH1bNB8c/m1YkZiTibfOmY0hH99TaBJkxouHj4cOA6AH8nvq7SVWJiLRMLeJuxGhx27ymTh1g8fAg7umnsFispN5wI66KptddKyjSTmlRBaVFf9Xu4WW0C534JeSlwEvDYd17oPnS/+DTuRPedzxByfoNxP34HOfc2Iuuw2LdXZbUVHgHGDsHrv0D4gfC5zcYgWPNWwc3tEzKTKJbWDc8rZ7urbUJqeti8AOGxw5n1b5VFFc0z88OEZGG0GKCRklBBeUlTWhH7aPgER5O3MxnKUlKYt8TT7i7nKMWHOkLHKYzWJvhcPXv0OU0+PhKWDix3nZebmpcLhervtnFV99VsveUmwjO/JPKl2fgcjrdXZocrYjOMO41uHoxxPSGT6+FFwbCuvdJ0kLwo2bGYnAw2txWOCtYua/pTksVEXG3lhE0Iqq4kW1GfPv2Jer228l5403yvvzS3eUclcCDLYgP8+TQJwjOnQ3nvQY7foGXhsH2nxu2wEamrKSSr19OYtknO+h/ShtGP34JcY8/Rv4XX7DvkUfVKaepiuoOE96EKxdBRFeyPr2K1KI0epYUa63SUajrPhoHtA1sS4xfjNZpiIjUQQsJGsaNbHPrPPVvIRdeQOAZZ5B+9z1H3GehMfG2e2AP8Kx+HU2Pc+GapcbT3zfPhm/uOGLHnuYoK62QD2asJHVzDqde3ZPBZ7bDarUQeOqpRP/f/5Hz1ltkvvCiu8uUuojpBee/w/oznwKg128zjemDGz4BjVgdkVlTpywWC8Pjhms/DRGROmgRQcPHzxNvP49muyD8AIvFQsz99+GVkEDK9VNxFBa6u6Qaq9GC/cBYuOhjOPlRWDEPXjkO9iY1SH2NwdaV+/hgxkqsNgvj7hhI294R//jvIf+bQMQNN5D5/PNkv/mWm6oUsyS6igj1CSXm0m+Nn/2Fl8LsY2DjF1qvVA2zpk6BsU5jV/4uUgpSTDmfiEhL0yKCBhjrAJrrgvBDWX19jc38srJIv+OOJjONpsYL9q1WGHoNXPELWG0wZzQsntWsn/Q6HE5+X7iV7+ZuoG3vCM67fQDBUb6HPTbsyisInTiRfQ8/TN7nnzdwpWKmpIwkeoX3wpIwEC7+CC7/FnzD4P0LYfZI2PyNAsdhGCMa5mxQOThmMDaLTdOnRERqqcUEjaCI5rmXxuF4tW5N7GMzKPj+B7LnzXN3OTVy1N+fqG4w5Sdj743v74U3zoTc5Por0E2K8sr47Nm1JP2cwjETOnLi5d3w9K56jwCLxULk7bcRdM45pE2/g4Jffmm4YsU0TpeT9Znr6RlxyELwVkPg0s+MbmzeAfDuBCNob/1BgeMQxj4a5ny0BXgF0Duit6ZPiYjUUssKGs186tShAkaPJuzKK9n/9DMULVvm7nKO6EBnsLKj6Qzm4Q0nPWTcfGXvNOaxJy6svyIbWPr2PBY+soLcfcWcdVNfeo1KwGI58pNai8VCzIMP4D/qOFKn3dCkN3NsqXbl76KgouDwHafajDDCxiWfgs0T3h4L804ymiQocJg6dQqM7lN/7P2DCmfTax0uIuJuLSdoRPpSnF9OeWnzbHF7OBFTr8dvyGBSb7qZir173V1OtQ62uK3Ngv22I43WoJ1Ogo8mwweXQ0mOyRU2HJfLReLPKXzy1GoCI+yMv2sgsR2Cj+ocFg8P4p56CnufPiRfdTWlGzfWT7FSL5IykrBgqXpHcIsF2h1nTKe66ENwOYwmCfNPg10te5M504NG7HCKKopYt3+daecUEWkpWlDQONBCteWMalhsNmKfegqLtzcp06bhLC93d0lVCgyv4/fHHgxj58LYecZUkpeGw45fzSuwgVSUO/hh/p8sen8LPY6L46wb++IX5F2rc1m9vYl/4Xm8Wrdmz+QplO/aZW6xUm+SMpNoG9SWAK+A6g+0WKDDCTD5R7hgAZQXGmHj9TNg99KGKbYRcTldOB3mTZ0C6BrWlRDvEBanafqUiMjRajFBI/jAXhotaPoUgEdICPEzn6Xsz43snzHD3eVUycfPEx8/z9qNaByq53nG6EZoO2Pdxrd3QWWZOUXWs9z9xXz42Cp2rMngxEndOGZ8J2y2uv0vavP3J2HOK9gCA9lz+SQq9u0zqVqpT0mZSVWPZhyOxQKdToYrfoX/vQPFOfDaGHjzHEheUX+FNjKOSqMphJkjGlaLlaGxQ7VOQ0SkFlpM0PD288Db16NFdJ76N3uvXkTdfTc577xL7iefuLucKgVFmrSOJjgBLvnMWL+x/BV4ZRTs21D389ajXYmZLHx0JZXlDs67fQCdBkabdm6P0FBazZuLy+lkz6RJVOY03WllLUFpZSlbsrfQK7zX0b/YYoEup8GVv8H4NyA/HeadAG+Pg9TV5hfbyNRH0AAYETeCjdkbySzJNPW8IiLNXYsJGhaLpcUtCD9U8PhxBJ17Lnv/7z5KN21ydzmHZbS4Nen7Y7XCsOuNzlQup7HnxpLnG10bXKfTxR+f7eDLFxOJ7RjMuDsHEhbnb/p1PGNjafXqPBxZ2SRfdRXOoiLTryHm2JS9iUpX5T87Th0tqxW6nQVXL4HzXoWcXTBnFLx7PqQ337UGjkpjMbyZU6cAhsYOBWBpWsubjiYiUhctJmiAsSC8Ja3ROJTFYiH63nvwat/O2MwvL8/dJf1HUIQvuWZ/f6J7GntuDJwC390Fb54FeanmXqOWSosq+PKFdaz8eheDz2rHqVf1xNvuUW/X827XjoRXXqF86zZSrp/aqNfstGSJGYl427zpGNKx7iezWqHHWLhmGZw7BzI2G3twvH9Rox/lq42/RzTM2UfjgHB7OF1Du2qdhojIUWpZQSPCTm5d1wA0YVYfH+JnzsSRn0/a7dNxNbKn+0ERdkryyyk/mha3NeHpA2MegYs/gcxt8NJQWP+hudc4Shl7CljwyAr27crnjOt7M+CUNlis5t4cHY69Zw/iX3yR4pUrSbvtdlwOR71fU45OUmYS3cK64Wn1NO+kVhv0Gg/XLoezX4K9SfDSMFg4EfY3zhHO2nBU1M/UKYBhscNYmrYUp6txvW+KiDRmLSpoBEfaKc4rp6Ks5d5ceSUkEPfE4xT++itZs2e7u5x/ONjitr5GndqPMhaKtx9ttMD96AoobfiRnU1L0/nwiVX4+Hky/o6BtOoW1qDX9xsymLinn6Lgu+/Ye9/9TWb3+JYiKTPp8PtnmMHmAX0ugOtWwhmzIGUlvDgEPpwMmVvr55oNqL7WaICxn0Z2aTabsptPMBMRqW8tKmgE1feNbBPhP3Ik4ddcQ8as5yj8vfFMBWiQFsS+oXDea3DOK7D5a6MNbgPtO+CocPLLO5v58fWNdBoYxbm39jvY1rehBZxwAjEPPUTuwoVkPP2MW2qQ/8ouzSa1MLX+gsYBNk/ofylcvxpOewp2L4EXBsHHV0HW9vq9dj06GDRMXqMB0CeiD74evuo+JSJyFFpW0Ig4cCPbcqdPHRB+7TX4HTOCtJtvpjylcaxZ8PHzxNvXo/6nt1ks0HuCMboR3Armnw7f31uvbXALc0r5+OnVbFySxnEXdmb0JV3x8LTV2/VqIvjcc4i8/Xay5swha96rbq1FDEkZSQB1Wwh+NDy8YOAkI3CMeczYXfz5gfDptcYCcpO4XC5cjvqfclSfU6c8bZ4MjhmsdRoiIkeh/laeNkI+/p54+dhabOepQ1msVuIef5ydY88jddo0Wr/zNlbv2m0MZ6YGXbAf3Aou/RyWPAc/PQTbfzIWzEZ2NfUyKZuy+W7eBmweVs69pT9RbQJNPX9dhF02EUduLvufeAJbcBDBY8e6u6QWLTEzkVCfUGL9Yhv2wp4+MPgK6HcxrHwNfn8a1r0HfS+GY242WkYfgbPcgSOnlMqsUiqzS40/Z//15+xSXJVObIHe2EK98Qi14xHqg0eoD7a/frf6e2Kx1G2dUn1OnQJjl/AZy2dQWF6Iv5f53eFERJqbFhU0LBaLcSPbgheEH8oWHEz8c7PYdf4F7HvoIWIefNDdJf3VgrgBvz9WG4y4wVi/8dEVMPtYOPEBGHSF0bGnDlwuF2u+38Oyj7cT1zmEkyZ1xx7gZU7dJoq4YRqO3FzS77kXa0AAgSed5O6SWqykjCR6hfeq8w13rXnaYeg1xrSqFfNg8bOw9m3odymu4TfiIBxHdsk/AsSBPzsLK/4+j4cFjxAjQHi3C8JjQBQWbxuOnDLj+P3FlG7Kxln092ssnlYjdIT8M4Ac+LPV68gjgJX1OKIBMCxuGJWuSv7Y+wfHtzq+Xq4hItKctKigASbv1dAM+HTrRvS995J+113Ye/cm+Lzz3FpPUKSd1C1u2FAuprfRBveH++Cb22HLN0Z3nsCYWp2uvLSSn17fyPY1GfQb05rBZ7bD2gBdpWrjQOtjZ0E+aTffgu2V2fgNHeruslocp8vJ+sz1TOwx0a11uCoclO0up6LyXCrbHYtn8jv4rngby/L5lDhOoaByHE5CsAV6GWEg3I5PpxBsIT54hB0YnfCqURc1Z1mlET7+NQpSui2HyuwyqPx7upXV3/MfAcQz0hefrmFYvf8OIM6D+2jUz/9rCQEJtA5szeLUxQoaIiI10PKCRoSd9G2Nbw8Jdwoeey4l69ax94EH8e7SFXuP7u6rJcLoDFZeWomXTwP/eHra4ZTHoONJ8Mk1Rhvc05+F7mcf1Wmy04v4ZnYShbllnHJlT9r1jaiXcs1ksdmInTGD5PxrSbn2Olq9Ph97zwZaJyAA7M7fTUFFQf0vBP8Xl9NFRVohpdtyKduWS9muPKh0YfGy4RHmgyPsUirbXYi9YCH+u+fj7/oO+k/GcswN4F+3n22rtwfWaA88o/0OW5ezsILK7BIqc8pwZP01kpJTSvnOPBx55Vi8bfj1j8JvSAyekb71PnUKjOlTv6b8isvlct/Ik4hIE9HigkZwpC9FuWVUlDvwrMFQfEsRdfddlG7cSOrUqbT58AM8QkLcUseBzmD5mSWExwe4pQY6HA/XLIXPp8HCS2HLBUYA8Tny2optq/bz0xsb8Q/1Ydz0AYQc5gaqsbJ4eRE/ayZ7Lruc5ClX0Prtt/Bu397dZbUYSZnGQvDu4fUf9A+MGpRtzaVsey7O4kosXla82wYRNKYtPh2C8Yjy/deNdC8ouRmWvQTLXoTVrxpTDIdNBT/zWzRbrBZj1CTQC+82h/kackopWr6XouV7KVyShne7IAizY6F+uk4dMDxuOO9seodd+btoG9S23q4jItIcWFwtrIl++rZcPnpyNf+7ZxBhcVrMd6iKtDR2njsWnx49SJj9MhZbwwexksJyXr3ld8Zc0YP2/SIb/Pr/4HLBunfhq9vAN8Roidv68FOKnA4nyz7ZwZrv99ChfySjLu7S8CMyJnHk5rL74ktw5OfT5p238YyLc3dJLcJDyx5i+d7lfHb2Z6af21lcQen2PMq25VC6LRdHVilYwCshAO8Owfh0CMGrVQCWmo4EFGfD0hfgj5eNfx58FQy91mgf3cBclU5K1mdSuCyd8l35lDpdRJzYCv9BMdiCzG9wUVxRzIj3RnDzgJu5sOuFpp9fRKQ5aXFBozi/nNdu+51TrupJuz6Nf0pLQytcvJjkyVMIv/pqIqZe3+DXd7lczL1pEf1ObkX/MW0a/PqHlbMLProSUpbDiBvh2OlGW9C/FOeX893c9aRty2PYue3pfXxCk59SUbFvP7svvBCLzUbrd97GI6xhNxVsiSZ8MYEOwR14eMTDdT6Xq9JJ2e58yrblUro1h4rUQnCBR7jdCBYdg/FuF4zVXscwXJQFS2bB8lfA6gFDroEhV4M9uM5fQ22s/3Q7ub+l0NbPA1elE3u3MPyGxOLdPsjU/ycnfzcZT6snL53wkmnnFBFpjprmI9c6sAd44ultq/+9Gpoo/+HDiZg2jYxnn8WnZw8CRo1q0OtbLBaCG9uC/ZA2cNlX8Psz8MujsO0How1uRGf27sjjm1fW43Q4OeuGPsR1cs+UM7N5RkXSat5cdl14EXumTKH1669jC3DTVLYWoLSylC3ZWzi3w7m1er3L5aJibzFlW40Ri/KdebgqnFj9PPDuEIL/4Bi8OwTjEeJjbuF+YXDi/TD0OqND1eJn4Y+XYOj1MPjKGk03NFO53YONTgvD7hxM8Zr9FC5NJ3NuEh4RdvyGxODXL6ru4QpjncaLa1+kzFGGt839bcFFRBqrFhc0jBa3jexGtpEJu2IKJYmJpN0+nbYffoBXwpF76JvJaHHbyL4/VhuMvMVYv/HhFFyzR5Le9mY+XTKAyNaBnDylJ/4hzeuGw6t1a1rNm8vuiy4m5eprSJg7B6uPyTeqAsCm7E1UuiqPaqO+yryyg8GibFuu0V7Ww4p320ACT2iNd4dgPGP8atT9qc78I+Dkh2HY9UYg/+0JWPaCsX5j0BXg3TDTVJ2VTmyeVqw+HvgPjcVvSAzlO/MoXJZO3pc7yf9mF759I/EbEoNXbO1rGh43nKdXPc2qfasYFjvMxK9ARKR5aXFBAyAowrfx3cg2IharldgZj7LzvHGkXD+VNu++g9Vub7DrB0X6ktZYO4PF9qXy8p9Jf3kaCVsfZkKboQRNfhVbMwsZB/h07kzC7JfZc/kkUm+6mfhZM7F4tMi3jXqVlJmEt82bjiEdqzzGWVpJ2Y48SrfmULYtl8qMErCAZ6w/fv2j8O4YjHfrICz1uBD6iAKijcYJw6Yam/79/AgsfR6G3wADJ4OXb71e3lHpwubxd7CyWCx4tzOmiTnyyylasZeiP9IpWr4Xr1YB+A2NxbdH+FH/nXUM7kikPZIlqUsUNEREquHGTyT3CYps4E3hmiBbYCDxz82ifNcu9t53Pw25lCcown6wM1hjk59ZwofPbuSrXZeQ0v8VQtmO7ZXhsPFzd5dWb3z79SN+1kwKf/uN9LvuxuV0HvlFclSSMpLoGtoVT6vnwX/ncjgp25VH3ve72f/SOtIeWErWG39Suikb77ZBhF7QhZi7hxB1fV+CTmmLT4cQ94aMQwXFwWlPwdQ10PUM+PF+mNkblr4IFfX3kKeywllla1tboBeBx7ci+vZBhF3UFYuXjZz3N5M+4w/yf9yDy1Hz9ziLxcKwuGEsTltsVukiIs1Si3w0GRxppzCnjMpyBx5qcVsln86diXngftJuux173z6E/O9/DXLdgy1uM0oaVWew3euz+P7VDXj7ejD29v5G+93RxxttcN+/CPpeBGNmgHfzW8vgP3IksTNmkHbrrdiCg4icPr3JL3hvTBIzExmdMJqK/cXGiMXWXMp25OEqd2Dx8cCnQxDBZ3bAp2MwtlCfpvN3H5wAZ8w0mij89gR8dzcsngnH3GzsPu5h7kigo7LqoHGAxWbB3iMce49wKvYXU7Qsnfwfd1O6LYew87tiC/Sq9vUHDI8dzifbPmFv0V6i/aLNKF9EpNlpkUEjKOLAXg2lhMY2nX0O3CHozDMpWZfI3ocfwadrV+y9e9f/NSOMaVp5+xtH0HA5Xaz8ehfLv9hJ6x5hnDCxGz5+fz159guHCW/Bmjfh6+mw63ejDW6rwe4tuh4EnX4ajvw89j3wILbgYMKvvtrdJTV5joJy0jftIrUwlYTFdvZ9tApsFrxbBxIwKh6fDiF4xvk3zDqL+hTSBs56AUbcZASOb243Fo6PvAX6XPSPLm51UZOgcSjPSF+Cz2yPvWc4We9sYt+s1YSe3wWf9sFHfO2QmCFYLVaWpC3h3I61W8QvItLctcygEfnXjWxGsYJGDUTdfhulGzaQMu0G2n70IR6h9dsr3x7giadP4+gMVlpUwQ/z/2T3+iwGnd6WAae0+e9Nn8UC/S6BNiPgoyvgtTFwzC1w7G1g8zz8iZuo0AsuwJGbS8bMWdiCgwk5/3x3l9SkOMsdlO3MM0YstuVQsbeYP/yTIAH6tB9A+Kmd8WobhLW5jrSGtYdzXjZGNH59DL64CRY9A8feCr3Pr/P/L84KJx61mD7m3TaIqKl9yX53E5lzkwg8uQ0BI+OrDXjBPsH0COvB4tTFChoiIlVoJBN6G5ZvoBce3jZytSC8RixeXsQ9+wyuigpSb7oZV2Vl/V7PYiE40tftncEyUwpY+OgK9m7P4/RrezPwtLbVP1kObQeXfQPH3QGLnoJ5J0HmtoYruIGEX301IZdczN4HHiTviy/dXU6j5nK6KNuTT/5Pe9g/O5G0+5eS9doGShIz8IwLIPR/nUk9oZxQn1C6nDEEn86hzTdkHCq8I4ydC9csg/j+8Nn18PwAWPsOOGr//uKodGI9ihGNQ9kCvAif3JOA4xLI/2YXWW/+ibO4otrXDI8bztL0pVQ66/c9UUSkqWqRQcNisRgtVNXitsY8o6OJe/ppilesIGPmrHq/nvH9cd+IxuY/9vLhY6vwsnsw7o6BtO5Rww3rbB7GSMak76E0D2YfAyvmGbuMNxMWi4Wo6dMJOvMM0qZPp/C339xdUqPhcrmozCyhcFkamW/+SdoDy8h4cR0Fv6Zg9bERfFo7om7qT/Qdgwgd1wnfPpFsKNhIr/BeTWfdhZkiu8C4+XDVYojuCZ9cDS8MgsQF4Dz6ZhDVLQavCYvVQtDJbQib2J2yXfnse34t5amFVR4/LHYYBeUFrM9cX+triog0Zy1y6hRAcIQ6Tx0tv8GDiLzpRvY/8ST23r0IOOGEertWUISdvTsavsWto9LJ4g+2kfRLCl2GRHPsBZ1r1zAgvj9ctchY/PrlTbDlWzjrefCPNL9oN7BYrcQ89BCO/AJSpk6j1avz8O3Xz91luYWjqIKyv/ayKN2agyO3DKwWvFoFEDAiFu+OIXjF+2Ox/fcG2OlykpSZxKXdLnVD5Y1IdA9jrVP6OvhlBnw0xVjLcdx06HYOWGsWHv7d3ra27F1Cibq+L1nvbGT/S2sJPqM9foOi/xMGe4T3INArkMVpi+kT2afO1xURaW5a5IgGHGhxqxGNoxV6+eUEnHgiadPvoGznznq7TtAhncEaSlFuGZ88vYYNi1I59oLOjL60a926knn5wenPwPnvQ9pqeHEobPrKvILdzOLpSdwzT2Pv0YPkq66mdPNmd5fUIFwVDkq35pD79U72zVpN+oPLyH53E2W787B3CyPskm7E3juEyKt6GxvntQ48bMgA2J2/m4LygqPaqK9Zi+kN578LU34yFpB/cDm8PBz+/BRq0FbZUVm7NRqH4xHqQ+RVvfHrH0Xux9vIWbAF57/ejzysHgyJGcKS1CWmXFNEpLlpwUHDl4KcUhwV2hPgaFgsFmIefQSPiAhSp07FWVw/o0IHWtzmZTZMGEzdksP7j6ygILuUc27uR4+RceZNZek8Bq5eCvED4b3z4bOpUFb1dIymxOrjQ/xLL+IZH8eeSZMp37PH3SWZzuV0UZ5aSP4vyWTMTSL1/mVkzltP8ep9eEb5ETKuEzF3DCL6pgFGB6NuYVh9ajZYnJSZBBhPxuUQcf3hwoUw6QdjE8AFl8DskbDpy2qnITqPsuvUkVg8rISc05GQCZ0pWZ/J/hfWUvGvKZ0j4kaQlJlEbmmuadcVEWkuWm7QiLCDC/KzNKpxtGz+/sZmfqlppN9zb71s5ndoi9v65HK5WPvDHj59di2h0b6Mv3Mg0e2CzL+Qf4TxpPaMmZC00Fi7kbLS/Ou4gS0ggFZz5mDz82PP5ZOo2Lff3SXVWWV2KUXL95L1zkbSH1rG/ufWUPDjHiw2Yw5/1A39iLlzMKETOuPXPwpbUO32g/h/9s47vKmyf+Of7NE2SVe605YOVimrbJClgoAgoKCAogwBBw7c83WPn/tVFAFxgAsQfV2g4maWvTd07z2StEnO748DFaTpXsD5XFcutDk550mb8dzP8/3e956cPUQaIzGoDU38DC4SwnrBjWvglh9BZ4LPp8D7Q8RSxGo+dxyVLuTNEFro0d2M+Y5u4BLIfnsX5Xtyqu7rF9wPAYHNGZub/LoSEhISFzqXsNA4vWIulU81CE10NMHPPUvx999TsHxFk59fb1Cj0iia9e9TYXPw05L9bFh1jG7Dwxh7Vzf0dQzrahAyGfS8Geb+DTpv0ZXq9xcb5bLTVlD6+mL5YClCZSUps2bhLCxs7SHVC1d5JdZ9uRR8fYzM/0sk8+VECtYcxVlgx6NPEP63diH4yX743RKH16AQVIEeTbLjtTd3L138pLKpWgnvDzd/B9O/BZUOPp0ES4bDsV/OERz1zdGoD6oAD8x3dEPb3pv8Tw9R+O1xBIeLQI9Aok3R/J32d7NcV0JCQuJC5pJtBvcwqlGq5G0iq+FCxXDVVVh37SbrpZfQdu7UpM3AMplM7KNpJuepgswyfly0j9J8GyNmxxHdswWbtH2jYMY6+PMV+ONlOPozTHhf/PkFjCokBMvSJSRNnUbK3HlYPliKXK9v7WFVi+BwYU8qFhu4jxVSmVoCAih9tWhivDFeZULTzohc33w5KHannSP5R5gQLWUw1JnIyyBiEJz4HX57DpZPhLA+MPQRiBzcrEIDQK5R4nNDB8oiMij8/gQVKSX4TO3IgOAB/HDyBwRBuDTdwyQkJCTccMnuaMjkZyay0o5GYzDftwBdt66k3XU3jpyc2h9QD5rLgvjEzhxWvrgNBIFrH0poWZFxBoUKhj4sCo7yPHhvEGz/6IK3wdVERxO2+H1sR46QOv8uhIqK1h4SIJbIVWaWUfJXKrnL9pH+1CZyF++lbEsGSm8N3uNjCHygF4H398L7mmh0cX7NKjIADuYdxCE4iPOX+jPqhUwGUUNFC+mpq8FZCR+Pgw9H4+fc3WTN4O4vL8OzfzD+c+JxFlWQ/dYOetGVHGsORwqONOu1JSQkJC40LlmhAWL5lCQ0GodMpSLktdcQEEi7516EypoDruqD0V/fpKVTLpfApjXH+XHRXiwdfbj2oQR8glo5GT6sl1hK1WUifDtfrEEvy23dMTUSXXw8Ye+8TfmWLaQ/9BCCs+Wcw87GWWSnbHsW+Z8fIuO5LWS9sYOidacQnAKGyy2Y7+xO0GN98Z3SEY/egSh9tC06vr25e9EoNMR6x7bodS8aZDKIuVx0qLrhC7CXMFL1IB2PzYXkLc1+eY3FgHl+d1QhXoR9rUQj17AxXXKfkpCQkDibS1xoSFkaTYHKbCb0jTco37WL7Ndeb7LzGs06SgpsOCobP1G1llTw7Vu72PlTEv0mRDHi1jjUdXQGanY0njD2v3D9p5CyRbTBPbKutUfVKDz69SP41VcoXruOzGeeaRbDgH/jsjmwHsij8H/HyXxtGxkvbKVg1REqc6x49AzAb2YcIU/2w39WF7wGh6EO8aw56b2Z2Zuzl44+HVHJm3fn5KJHJhOd3eb8yU9lj6B0FMAHV8InE5rdcEHhocJveic8w3zoWh7L38l/Nev1JCQkJC402shMq3UwmnWU5Nmava73UkDfsycBD9xP1vMvoOsaj2HkyEaf02Q+7QyWa2vUzkPWqWLWLtqL0+Fi7F3dCO3g0+ixNQsdRkNIAvzvDrHZNWEGXPmsmMdxAWK48kpcTz9FxmOPozCZMN99d5OeX3C6qEgpOR2UV0hFSgm4BBQmDdoYbzHDIsqEwqNtTuT35O5hmGVYaw+jRRAEJy5XBQqFrvkuIpNxwtaHgJ7X0zVwJ/z+gtgwHjMCRr8KprDmuaxCju+UDvT8oDNLsldRZi/DQ3NhvmclJCQkmppLXGjoEQQoybNhCmibTasXEt433oh1127SH3kUTUwMmqjGNTdXOYPlWBssNPb/lcafXxzBL9SLkbfG4dXC5TH1xisApnwJ25bCusfg5J9io3hIz9YeWYMwXXstzqIisv/vFRQmE74339zgcwmCgCPHiv1oAbZjhdhPFCHYnci0SrRRRkxjo9BGm1D4att8Q26+LZ+00jTi/eJbeyhNRmVlEVZrMlZbKjZrMlZrClZbKlZrMjZbOoJQiUrli04XJt604r9aXRg6rQWtNhCZrOEBmYIgiItGKiV0vgY6Xg3718Av/xHtpCcsEUutmgGFQcPw4Vfz7o7P+eOnHxh19XXNch0JCQmJC41LW2iczmoozC6XhEYTIJPJCHrmaWyTJ5N653wivvwShWfDV/b0RjVKtbxB5W2OSid/fn6Egxsy6HxZCIOui0HRzE2iTYZMBr1mQeRgWD1LtMEd/BAMvAcUF95b1nfmTJyFhWS/+BIKownT+Gvq/FhnSUWVM5T9WAHOogpQyNCEG/AaHIo2xhtVK5dANYR9ufsALrhEcEEQKCreQWnpYVFUWFOw2VKwWlNwOIqrjlMoPNHpLOh0Yfj7X4FOG4ZC4YHNllolQAoLt2G3ZwJiWZ1MpkSrDUantfwjQHQWfLwHoFLVnjPicgmic9iZ97lcAV2uhahh8NWtsOJaGPwADH5QvK+JiY3rQtDuAP4+/gfDDg9H276N7pxKSEhItCAX3qylCfE0aVCo5FKWRhMi9/Ag9K3/cuq668h49FFC3ni9wavLMpmsQQ3hxblW1r6/j/yMMobd1JGO/YMadP1Wxy8GZv0iZm38/jwc/QkmLAKfdq09snrjf++9OAuLyHjsMRQGL7yGD6/2OFeFk4qTRdiOFmI/VkhlZhkAqkA9ui7+aGJMaCKNyNVNP1FsSfbk7MFH60OwR3BrD6VOOBwlZGSuITV1BeXlx84SBWF4eXXBbB6NTht6erfCglJprNP73uWyY7Oli+LDmoLVlozVmkpx8R4ys77F6SxFLtcRGDiO0JCpeHl1cnsuZ6UL4PwyWL2PuEv416uiJW7KVpi4BDz8GvU7+TcymYyBUZex0fEX+V8cxjy/O0pTG99BlZCQkGhmLmmhIZPLms1C9VJG0y6SoBdfIO3O+eQv+xDfGbc0+Fz1zdJIPpDHT0v3o9YqmXh/T/wtXg2+dptAoYLhj0PMFeKq7HuDYOSL0H2auPNxgSCTyQj8z5M4i4tJu+dewhYvxqNPbwSXQGVaKbZjBdiPFmJPKgangNygRhttwmtwKJpoEwqvZgxSbAXOBPW19RKvktJDpKUuJzPrG1wuO/5+V9I+9klMpt7I5Y3/+pDLNej1kej1kefdJwgCdnsmGRmrSEv/nPT0zzEaexAaMg2zeSRy+blp7E6HG6EhXggG3w+hCeIu4XuD4LoPwdKn0c/hbAaEDGDlkZVk6PJQrDiEeU48Mqn/T0JC4hLmkhYacCarQXKeamoMV1yBbfYssl99FW1cZzx6927QeYz+Oo7vyK71OMElsH1dElv+dwJLJx+umNEZbRttAm4Qlr6iDe7ah8Vm8SNr4eq3wMO3tUdWZ2QKBUEvv0TqrLmkzJmHacp/cJb7IdgcyDQKNO2MmEZFoonxRumva/OT8IbiElzszd3L9E7TW3so1eJy2cnOXkdq2nKKirajUQdgscwmJHgyGk1Ai41DJpOh1QYRGXkn4eHzyM1dT2racvYfuJcjR58lOHgSIcE3oNOFAuCsFEuw5MoaXjdRQ2HuX7DyFvhwFFzxDPSd12SivU9gH5QyJQcH5RLwrYnC70/gPS66Sc4tISEhcSEiCQ1/HSd2X9i5BW0V/7vuwrpnL2n33EvkV6tRBdR/kmL0r90ZzG51sP7DA5zcnUvCqAh6jYlEfoHV7NcJrQGueQdiR4iZG+/2g3ELm63BtalwllViP1542h2qAHnAFGTHMin87Bn87n0Nr0HxqMO8kCkujZXfpOIkSipK2lx/htWaRlr6Z6Snf0FlZT7e3v3oEvcOfn7DkbeyBa9crsRsHoHZPIKysuOkpX1KWtoKkpIW4ec7lJDQqSidvQBqD+wzBMPN34lN4usehpTNMPZt8f3VSDzVnnQ1d2VL+XauufpKCr8+jibCgL5rK4SCSkhISLQBLo1v9howmvXiRNbpau2hXHTIlEpCXnsVmVJJ2t33NCgl2nTaGaw4t/rytry0UlY+n0jakUJG3xZPn7HtLk6RcTadxsK8TRAQBysmwg/3Q0Xb2ZUTKl3YjhVQ9ONJsv67k4xnN5P/6SHsJ4vQdfTFb0YP2q35BFWImYIPnkCuLrtkRAaIZVMAcX6tnwguCC7y8v5g955b2bhpCKmpnxAQcDV9+6yjR/flp0uU2tbOoIdHFLGxjzNwwEY6dHgOmz2T3btnsvfwKHzar0OQFdd+EoUKRjwHkz6BY7/C4qGQtb9JxjcwZCBbM7aiTvBD382fgtVHqZTymiQkJC5RLp1vdzcYzToEl0BJnq21h3JRovT1JfTNN7Du20fWy/9X78cbzaIzWHV9NEcSM1n10jaUagXXPZxARHzTNne2aQxBMG01XPV/sONjeH8wpO9qlaEILoGKtFJK/kghZ+le0p7aRO6SfZRtz0Llr8N7YiyBD/cmcEECprFR6Dr5ogr0w7J0KTKZjOSZs3Dk57fK2FuDvTl7iTRGYlA3fgW9MVRU5LNr9wx27Z6BzZZOh/bPMGjgJtrHPoGHR9sv91Eo9IQET6Z3r/+R0HMVem03/OK+5ljGNeTm/lq3k3QaC3P+AKUWFg+HXZ81elz9g/tT7ihnd+5uTONjUJi05C0/gMve+OBRCQkJiQsNqXTqtMVtUbYVk1myuG0OdN26EfDwQ2Q9/Qy6rvEYr766zo/1MJ7vDOZ0uti4+hh7fk0ltncAQ6Z1QHWBuxA1CJkM+twK7U7b4C4ZDkMfgQF3N4t959k4CmxVpVD244W4yhzIVHLUkUaMI8LRRHujCtTX2GehCgjA8sFSTk2dRsrsW7F89CEKT89mHXdb4EwjeGtSVLSTvfvuwOWqoGv8Enx9hzRLT4zVaqWgoICCggIqKiowmUyYTCYMBgMKRdO8RmUyGUZjd0J825G4fCg9p/yP3XtmEx4+j3aRd9fetO4bBTN/hh/ug6/niqVUI18CVcMcozr4dMBH68PfaX/TK7AXvtM6kv32TgrWHMVncvuLtvdIQkJCojoueaHh5a1FoZSfbgi/cBprLzS8b7gB2+7dZDzxJJrY9mjbx9bpcVXOYKdLD8qK7KxbvI+sE8UMmhxLlyEh0he3f3uYtV5MQl7/DBz9GcYvAu/wJruEy+rAfvxMnkUhjlwryEAV6oVH7yA00SY04YZ6O+yoIyKwLH6fpJumk3r7HYS9vwi5RlP7Ay9Q7E47hwsOc030Na1yfUEQSE39mKPHXsDgFUdc3H/Rahtu/+xwOCgsLKSgoKDq37Nvdru92sfJ5XKMRiPe3t5VN5PJVPXfOl39zQCcDhdOu4Ho8Lcosq/g+PFXKC7aSee4N9Goa9ntVOvhmoWi6cL390HecbhxjVhiVU/kMjn9g/uzMX0j9/S8B5VZj/fEGPI/O0xZhAHPvheGpbGEhIREU3DJCw2ZXIbBTytlaTQzor3pf7AdOkzq/DuJXLUKhVfdrGfPWBBnHCtk7fv7QAbXLOhBUJSxmUd9AaFUw+VPnrbBnQPvDoBR/wddr2+Qo47gcFGRXFJlO1uRWiKGoflq0USbMI6MQNPOiFzf+Pp9badOhL33LskzZ5G2YAGhb7yBTHlxfjQdzDuIw+VolUZwh6OUg4ceJjv7B8LCbiE66gHk8rrbBguCQEFBAcnJyVW33Nx/jDTOFg8hISHExcWdIyLUajVFRUXniZG0tDT27dt3jijR6/XEx8eTkJCAn1/dSiLP2Nsq1UoiAudgNHRl3/672Lr1auLi3sLb1Kv2k/S4CXyj4aOrYf1TcOWzdf79nM2AkAF8d+I7cq25+On80Hc1Yz9VTOG3J1CHeKEOu8BttyUkJCTqiEwQBKG1B9HafL9wD4JLYMwdXVt7KBc9FcnJnJx4LfrevQn971vI5LWvgG9YdZRDmzOpKHcQGGXkylmd8TBevKvejcZWBD8+CLs/g07XwJjXxdCyGhAEAUdW+emgvALsJ4sQKlzI9UpxtyLahDbaG6VP8wWQlfz2G6l33Ilx3DiCnnv2otyp+uTAJ7y54002TdmEqgWbrEtLj7B33+3Y7Vl07PgiAeZRtT7G5XKRlZVFUlJSlbAoLS0FwGw2Y7FYCAoKqhITjS2HOrvMKjU1lV27dmG1WmnXrh29evUiNja2xvOf3JPLDwv3cMvLA9EbRAFlt2ezb/9dFBVtJyrqfixhs+r2utr0Dqx7BCYvh451L/U8Q541jyFfDuG5gc8xNmosIIr3nEV7cJZUYL6zO4qLyX5bQkJCwg2S0AD+XnmUU3tzmfZ0v9YeyiVByW+/kTrvNvzvvRe/W2fXeGyl3cnXr+0gO6mE+KGh9L82GsUl5FDUKPavgW/vBpVOLAuJGnbO3c5ie1UCt+1YAa6SSlDK0EQYRWER440qyANZC7p4FX37Len3P4DPLbdgfuD+i05sPPDHA2SUZfDJqE9a7JoZmV9z6NBj6HRhdIl7Bw+P6pPlKyoqSEtLqxIVKSkpVFRUoFAoCA4OJjw8HIvFQlhYGDqdrtnHXVlZyf79+0lMTCQtLQ2DwUDPnj3p0aMHXtXshh7bns26xfuY9dogNGfttLlcDk6ceJWk5Pfx97uCjh1fRqWqpRFfEODLm+DE73Dr72IfRz2Z/N1kwg3hvHzZy1U/cxTayH5rJ+owL3ynd27R95aEhIREa3Bx1ifUE5NZR0muDZfThVyaxDY7XkOH4jtvLjlvvIEurjMe/ftXe1xhdjlrF+2lIEvsz+gyJFQSGfWh83gI6wNfz4NPxiMkzMEWfhf2kzZsxwpxnO57UQV7oO8RgDbahCbCgEzVeo31xquvxllYRNZzz6EwmfCbc2urjaU52Ju7l6GWoS1yLafTztGjz5CW/hmBgePp0P4ZFIp/BEJ5efk5ZVDp6em4XC40Gg0Wi4VBgwZhsVgIDg5GpWr51XeVSkW3bt3o1q0b6enpJCYm8tdff/HHH3/QqVMnevXqhcViqRKj7pLB5XIl0dEPYjT24MDB+0ncNo4uce/g5dXJ/cVlMhj3Drw/BL6cDrN+FgV7PRgQLKaEO11OFKfNGZQmLT7XdyB32T7Kt2fh0SuwXueUkJCQuNCQhAZg9NfjcgmU5NurXKgkmhf/O+7AtmcvaQvuI3L1KlTB5zZIntyTyy/LDqDzUjH69ni+fXM3RTlWTAGSM1hdEZwCFQWe2IPeQJazFM/E91Bu/ZFS7SOoY3tiGG5BE2VE4Vn3Ov2WwOfGaTgLC8l5/XUURiPe109u7SE1Cfm2fFJLU1vEccpqTWXvvtspKztCh/bPERQ0iaKiIpKTj5CcnExSUlJVf4XBYMBisRAfH4/FYsFsNiOvQ0ljSxIcHMy4ceO48sor2bVrF4mJiSxbtgyz2czw4cNp3769W6FxBn//K+jl8Q17993Btu0TaR/7FMHBk9xfVGuASR/DkstFR6px79RrzANCBrB472IO5h88JzNFG+uNtoMPpRvT0ScEXHS7dhISEhJnIwkNzspqyC6XhEYLIVMoCH7l/zg5cSKpd91N+IrlyNVqXC6BxO9Osu2HU0R29WP4zZ1QaxQolHIKs8sJl5zB3CIIAo5cK/ajp92hjhci2J3ItAo0UVNQxF+O7vAj+OXfiSzocehyR7Pb4DYUvztux1lYSOZTT6EwGjBcdVVrD6nR7MvdB9DsQqO09DDbd9yATKZHo36CjRsVJCe/TklJCQD+/v6Eh4dz2WWXYbFYMBqNF8xkV6fT0a9fP/r06cPJkyfZuHEjn332Gf379ydA2QG5QlZjOZJeH05Cz5UcOfo0Bw89THn5KaKjH3B/wcA4GPOauCsY1hd63Fjnscb7x+Oh8mBD2obzwhk9+waRu2w/FcklaMJbN09FQkJCojmRhAbg6aNFrpBVGwon0Xwovb0JffMtkqZMIev55/G+71F++mA/qQfz6XtNO3pcGV41aTCcdp6SOBdnacXpPAux18JZZAeFDLXFgNdloWhiTKhDvJApZEAnGPob/Pos/PwkHPkJxr8LJktrP43zkMlkBDz6CM7iYtIeeBC5pxeegwa29rAaxZ6cPfhofQjxDGnyc1dWVpKWlkZS0mFs9sepsCvYvXsQLtdRQkJCqnYrwsLC0Osv/F1BuVxOVFQU7dq1Y9OmTfz888/4eB1Hqaq9l0Kh0NKxw/PodREcO/4SXoa4mpvju02B5E3irkZQVwiKr9MYVXIVfYP6siF9A3O6zjnnPk2MNwofLWWbMyShISEhcVEjCQ1ALpdh8NNJFretgK5LHAFPPE7m40+w46ienMB+XD2/G2Edz3VJErM0pL+Pq8JJxaliMSjvWCGVGWUAKAP06Lr4oYkxoYkwIte42alQauDKZyDmSlgzV7TBHf0qdLmuQTa4zYlMLif4+edwFReTOn8+lg+Wou/evbWH1WDOBPU1xe5BeXk5KSkpVWVQYn+Fk86dN2DyLsVg+A/TpvUmJCSk5fsrHHYoTIGCU1B4Svy34BRUlImi1hQO3hH/3HTeDX7tyWQy+vfvT0hICJ8t/4IKwzZOnowhMjKy1sdaLLMpLtnLwYMP4enRwW2TPABXvQzpO8UG8Tl/gLZu1tr9g/vz/JbnKa4oPicJXiaX4dk3iKJ1pzCOjmxz5YsSEhISTYXkOnWa797ZjQwYfbtkcdvSHNyYTsZjjxOQlUjgko/x7dftvGP+XnWUU3suPWcwwSVQmVYqlkIdLcCeVAxOAblBLTZvx3ijjTah8GrARMVaKK7S7l0JnSeIJSI67yZ/Do3FZbWSPGs29mPHCP/kY7SxdQt7bEu4BBcDPx/I9E7Tz1vdrg1BEE73VyRXWc3m5OQA4OXlhcViwWKx4Om5mcyst+gStxCzeURzPI3zcVbCoe/h6E//CIridOD014pcCcYwMTxS7QmFyVCQBPaif86hMYj3m8LFHYNuU8FY/12fv77az4adv2BXFjJs2DAGDBhQa6+Jw1FK4rbxyGRKeiWsRqGoYbcn/wQsGgKRg0Tb2zqIo7TSNEauHslrQ17jivArzrnPWVZJxgtbMFwejmFIWF2eooSEhMQFh7SjcRqjv47k/fmtPYxLCmeliz+/PMKBv9LpdON8dP97moLH78e0ehUK47krhib/S8cZzJFnrRIWtuNFCFYHMrUCTTsjxlGRaKNNKM36xq+M60wwcQnEjoTv7hV3N655F9oNbpLn0VTIdTrC3l1I0k3TSZk5i/BPV6AOu7AmZsnFyZRUlNQpqM/lcpGdnX2OI1RxcTEAfn5+hIeHM3DgQCwWCyaTCZlMRmHRdnbsWIglbGbLiIzidNj+EWz/EEozIaAL+MeKydreEf/sWhhCQFHN14y14B9hUnBKFB8FJ2HDm/D7i9BhFPSaBZGD67zboZRpCRYSCBloY/369aSkpDB+/PgarXiVSk+6xL1D4rYJHDr8OJ06vuL+feXTTiw1/HwKbHob+t9Z65hCPEOIMESwIW3DeUJD4aFCH+9P2ZYMvC4LlaxuJSQkLkokoXEak1nPvj/ScLkE5NIHfrNTkm9j7aK95KWVMXRaBzoNDKbiirc4NXEiaQ88QNi7754T5mc0n3EGs2H0v/BrzM/GWVaJ/fiZPItCnPk2kIM6zIBn/2C0MSbUYV7ImktgdblWnCCumQsfj4V+d8Cwx0HVfOF89UVhMGBZ/D6npk4jeeYsIlYsR+nv39rDqjN7c/cCnNcUDGJ/RXp6+jnCwm63I5fLCQ4OJi4urqq/wsPD47zHV1TksW/ffAyGrkRF3d98T0IQ4OSfkLhE3MVQaqHrZEiYKTZN1wedt3gL/lcpnK0Y9nwBiUvh43HgGwO9ZkLXG0RhXANOhwulUsHw4cMJCwvjq6++YtGiRUyaNIngf7nanY2nZywdOzzH/gP3YjL2IiTkevcX6TAa+s8Xe5xCEiC89h3WgSED+SX5FwRBOE/EePYLpnxHNrYjBeg61ByqKSEhIXEhIgmN0xj9dbicAqX5Ngx+kvNUc5JyKJ+fluxHqZYz4f4emE83Q6pDQwh+5f9IuXUOue++i//tt1c95owbWFG29YIXGkKlC3tSMfZjBdiOFVKZVgoCKP11aNt7o43xRtPOiFzbgm9PYyjc9D/Y/A6sfxqO/wYTF0NA55YbQy0o/f2xfLCUpClTSZ41m/BPPkZhuDAaaffk7CHCEIFBbcBqtZ7XX+F0OlGr1YSFhdG/f38sFgshISGo1TWXxAmCk/3778HlqiQu7i3kzZE2biuC3Z+LAiP3CPh3gKtegvjJogVsU6I1QO/Z4m5G0kbxmj89Br88BfHXiT8Pqr681elwoVCJYjw2NpY5c+awcuVKli5dysSJE+nUyX1uRmDgOAqLtnHk6FN4GeIweNUgnIY/CWnbYeXNMPcv8DTX+JT6B/dn+cHlnCw6STvTuX0gqlBPVCGelG1Kl4SGhITERYkkNE7zj8WtVRIazYQgCOz8KZnNXx8ntIM3V8zsjO5fTZCegwbhd8ft5L79Drr4eDwHDRJ/7qNFrrwwncEEl0BlZtlpd6gCKk4VI1S6kHuq0ESb8OwbhCbaG6VJ07oDlcvFcpB2Q+Gr2WJY2fAnoe9t4n1tAHVoKGFLFpN0402kzJ2HZekS5C2QUt0YioqK2JqyFW+nNwsXLiQ7OxsAT09PLBYLV155ZVV+hUJRP7vhkyf/S37BJrp3+xCtphnC305tgFW3QHkedLwaxrwO4QOa3zhAJoOIAeKtJAt2fAzbl4n/WvpB33nQYcw59szOStc5GRre3t7MmDGDr776ijVr1uDn54fZ7F4UxMY8RnHxXvbuvYPevb5BpXLT8K1QwrUfwDu9YeNbcOWzNT6VhMAE1HI1G9I3nCc0ZDKxKbzgq6M48qwofdv2a1lCQkKivkjN4KdxOV0suvMPBk2OIW5waGsP56Kjwupg/UcHObErh54jw+k9tp3bEjXB5SJl3jysu3YTuXoV6lDx7/HpfzYT1smHQZPafjOwo9Au9lgcE0uiXGWVyFRy1JHGqiZuVYC+7dZlV9rg12fEWvTIy8TeDWPbeV9Yd+0iacZM9L0SCHv7bWStkFxdHS6Xi5ycnHPKoPKL8/km/BsG2AdwVdBVVc3b3t7ejeqzycv7g127Z9Ku3T1ERtxe+wPqgyCI/RLrn4bw/jB+UYMatJsUpwMO/wBb3oOkDaKDVe85YraF1sjPH+yntMDO+AU9znlYRUUFixcvRhAEZs+ejUbjXtBbralsTRyLyZRAfJf3kMlqENjrHoVdK+Deg7Wmht/6063IZXLeu+K98+5zVTjJeH4rHn0CMV1Vu1uWhISExIWEJDTOYvkTm4iI92PgtTGtPZSLivz0Mn5ctJfyIjvDb+5Eu26119Y7i4o4ee11KLy8CP90BXKtlu/f2Y0AjGmDzmAumwP78dNBeUcLceRaQQaqEE+xFCrahCbcgMxNanGb5cTvsGYeVJbB6NfEfo42QumGDaTMnYdhxAiCX37pnJ6elsLhcJzXX2Gz2ZDL5QQFBWGxWLB523js4GN8PuZzOvs2TSmazZbOlq1XYzR2o2v84ponxPXFWigG1B3+AQYtgCGPVN/Q3Zqk74TN78G+1aJlc/dprD0+ngqXlrHzu513eE5ODosXLyY2NpaJEyfWKPByc39j955ZREU9QER4DQ5hecfhvz1EEd5tSo3D/Wj/R/x353/5+/q/0SrP730q/O4E5TuyCHq4DzLVBfYZISEhIVEDbezbo3Ux+uulrIYm5tj2bNZ/fBCDr5brHu6FKaBu/RUKo5HQt97k1PU3kPn0MwQ99yxGfz1J+/OaecR1Q3C4qEgpqcqzqEgpAQEUvlq00SYMIyLQRhmR69vGSnuDaTcEbtsoulKtnglH1sGo/6u1Mbcl8BwwgJD/e5m0e+5FYTAQ8PhjzZ5wbbVaSU1NrbKZTUtLq+qvCA0NpW/fvoSHh5/TX7H8wHLUcjWx3k2zE+dy2dm77w6USg86d3q1aUVGxm4xK8JaADd8Ae1HNslp7Q4ntgoXBp2yaf5Gwd1hwiK44imxj2PbBzjTfFB4muFkCUQMPKe8y9/fn7Fjx7Jq1SosFgu9e/d2e2o/v6FEhM/j+PFXMBq64u3dt/oDfaMgarh4/VqExoDgAbyy7RW2Z21nQMiA8+736BNI6d9plO/NwaNHQN1+BxISEhIXAJLQOAujWUfqQcnitilwOV1sWnOcXb+kEJNgZuiNHVG5C5Fzg7ZjRwL/8x8yHn4YXbeuGM39Kf7D2ioWt4Ig4Mgur0rgtp8oRKhwIdcr0USZMCUEoI32RunTdpyamgydt1iT3v4q+H6B2KQ7/j0xT6CVMYwcibO4mMwnnkRhMuE/v3bL0fpwJr/izC0rKwsADw8PwsPDueKKK7BYLAQEBLjtr9iTu4eOvh1RNVGjdnLyB5SUHCCh55eoVKYmOSeCIPY//HA/mDvCTd+I9rT1wOUS2JNWxMncUlLyrSTnl5OcX05KfjmZxTYEAbw0SsJ89IT56LD46LH46Anz0dM11IS3RwOyYLwCYdhjMGgBzpd+Q118FD4aI9rt9p0n7sApxVKpuLg4kpOTWbt2LcHBwYSGui8FbNfuHoqKd7H/wAL69/vdfZN9r1nw+Q2QtgNCelR/DBBliiJAH8CG9A3VCg2Vvx5NjImyzRmS0JCQkLiokITGWZjMOvb/ZZUsbhtJeXEF6xbvI+N4EQOviyF+WGiDVzFN46/BunsXWc88i+7FZaIzWIG9RRr2ncX2qlIo27FCXCUVoJShiTDiNcyCNtqEKtiz7fZZNCUyGcRPOm2DOw8+uhoGzIehj1ZN5FoL70mTcBYWkfPaayhMJnxuurFB53G5XOTm5p4jLAoLCwHw9fXFYrHQt29fLBYLPj4+dX5N783Zy5CwIQ0a0/ljdJCatpygwPEYDPFNck5cLvh2Puz8BBJmwIgX6mVtXFBWwcrtKazYkkxSXjkAfp5qQr1FIdE7wocwHx0eGiWpBdYq8fHzgSxSC6w4XAJqpZwx8UHc2DecbmGm+n9eqHQ4dYEogsNhcDxsXgjf3Aa/PCmKgYQZ4GnmyiuvJC0tjZUrVzJnzhz0+up3WGUyBTHRj7I1cQy5uesxm93s7MSOEAMJty2tUWjIZDIGhAxgQ9oG6FX9MZ59g8j75CAVaaWoQzzr9/wlJCQk2iiS0DgLo78el0OgrNCO18W4Mt0CZJ4oYu2ivbgEuOae7gTHmBp9zoBHHsF24CDFbz0HkXc0mzOYy+7EfrKoqonbkSVOmlRBHui7m9FGm1BHGJCr67czc1FhssD0/8HG/8Kvz8KxX0UbXHPHVh2W7+xZOAsLyXr+eRRGA8Zx42p9jMPhICMjo8pmNiUlBavVikwmIygoiA4dOpyVut2wiV++LZ/U0lTi/ZtGFOTl/YrdnklI6NQmOR8AG14XRca4hdC97ufdlVLIJ5uS+HZPOggwOj6IlyfGExdixENTt68Wp0sgvdDK93szWLElia92pBEXYuDGvuGM7RqCrh7vNafjtOtU1FDxlntUbBzf8Cb89Sp0mYSy71yuu+46Fi1axFdffcWUKVPcpod7eXXEaOxJatpy90JDroCeN8Of/ye6T+m83Y6vf3B/vjr6FRmlGQR5Bp13v7aDLwqjmrLNGagnSn2CEhISFweS0DiLM1kNhdnlktCoJ4IgsO+PNP5eeZSACAMjZsfh0UR2rXK1mtA33+D4hOuQCS4Ks8oI69R4z3nBKVCRWvKP7WxyCbgEFCYNmmgThmFhaKJMKDwbUNJxMSNXwMC7IWqYaIO7aLBYK997TqvZ4MpkMsz334ezqJD0Rx5F7mXAa9jQc46x2WxV+RVn+iscDgcqlYrQ0FD69OlTlV9RkzNRfdiXuw+ALn61J4LXhdTUFRgM3WvOeagPJ/8UBeNl99dZZGw8nsuLPx5iT2oRod467rk8lkkJofh61v93ppDLCPPRM3dwFLMHtePPIzl8sjmJh77ay3PfH2Ra33DuujwGjbJ2wXF2jgYAfjEw+lWxtGr7R7D1fdi1HFPEICb2mcry3w/z119/MXjwYLfnDA2Zxv4D91BWdgwPj+jqD+pxk5hmvutT6Ofe/atvUF/kMjkb0jdwbez5pgoyhQyP3kGU/J6CcVQkcp309SwhIXHhI32SnYWXnxaZXEZRtpWwDq09mguHygonf6w4zOEtmcQPDaX/xOhz/OybAlVQEGGv/R+6d0+R8XM+XYaG1fscgiDgyLWeFhan+yxsTmQahdhncXU7NNEmlH66Zm8qvigIiodbfxfD1NY+JDaKX7MQDO5TmJsTmUxG0FNP4SouJu2ee/B9802y/HzP6a8QBAG9Xk94eDjDhw/HYrEQGBhY7/yKurInZw8+Wh9CPBtvDVtefpL8gr/p1PGVJhgZUJwBq2ZAxCAY8nCth7tcAgt/P8ZrPx8hIdyHD25OYHCsGUUTlQ4q5DKGdjAztIOZlPxylm9JYslfJ9lwPI+FU3sQYqp5F/PfORpV6LxFYdzvdjj4LWxeSPTvcxmsvYrffoPI0EAsUe2rPafZPIIjR31ITfuU9rFPVH9hTzN0GiemmfeZ51ZsGzVGuvh1YWP6xmqFBoBH70CK1ydTtj0Lr4GtbCcsISEh0QRIQuMsFAo5Xr7aCzIUrrUoyrHy46K9FGWVc/ktnWjfpxlCw07j0a8fxjW5FBw5Tsmvv523Yl0dztIK0Xb2qNhr4Syyg0KG2uKF16BQNDEm1CFeyBSSsGgQKh1c9SLEXglf3wYL+8HVb0Lna1p0GIIgVPVXpAwahN+BA9jvvJPfhg1FHhVV5TRksVjw9fVtMSG5L3cfXfy6NMn1UtM+RaXyxmwe1fiBOSvFID65EiYuPSf4rjoKyyu454td/H4kh/nDYpg/PKbJBEZ1hPnoefiqjozuEsS85TsY/dZfvDG5G0Pauw/cqyqdcodCBXETxFtKIoM3v8uh/TlsWPEilj7B0GeOWBp4FnK5huDgyaSmfkJ01H0oFG5c83rNgmUj4eTv4k6fGwaEDOCT/Z/gcDlQys//+lV4qdHF+VK2OQPPAcHSgoeEhMQFjyQ0/oXJX0dRdnlrD+OC4NTeXH5ZdgCNh4qJDybgF9r8DYx+PdtzsthJ+oMPErlqJerw8HPuFyqd2E8WYztWgP1oIZUZZQAoA/To4nzRxHijiTQir6cDlkQtRA2DeRvhu7th5XQ4cgNc9TJoDc1yOYfDQWZmZlV/RXJyclV/RWBgINo77sBnyVKu2ppIxN13o4ls+SA0QRDYm7uXGzs1rDn9bJxOKxkZqwgJvh6FognKutY/BamJcPP34Flzrs2e1ELmLd9BeYWDZTf3qnGy39TEh5r4fv5A7v1yN7d8mMidw2K4y43IEXc06jgxD+uFPKwXvQJ/4fv1f1G4YyWmzQvF9PO+t0FYnyp73JDgG0hKeo/MzP8REnJ99eez9AVzZ3FXoyahETyAhbsWsjd3L93N3as9xqNXILlL91GZWY46yKNuz0dCQkKijSIJjX9h9NeRdrSwtYfRphFcAonfnyTxh1NEdPHj8ps7ommhvAiTWUe5wojCx5fU+XcR/umnOAucp92hCrAnFYNDQO6lRhtjwnNQCNpobxQGqc+i2dH7wHUfwe7PRZvUpA1ionR4/0af2m63n9NfkZqaek5/xZnditDQ0Kr+CseQISRNnUbyzJlEfPopqsDm222rjqTiJIorion3a3wjeFbWdzgcJYSE3ND4gR38VmzmH/G8OEGugS8Sk3n86/10CjbwztR+tZYvNQcmvZolNyXw7h/HefWnw+xMLuCdqT0waM/9zHE6hHN7NOpAl96D+PnvRLb3fI3h3qliCOAHI8Scjr63Q6dx6HQh+PkNIzVtBcHBk6vfZZDJoNdM+OE+KEoFY/XWuZ19O2PUGPk77W+3QkMVKIoLZ54VJKEhISFxgSMJjX9hNOs5sDEDwSVcGral9cRWVskvyw6QtD+PPldH0nNkRIv+noxmPS6ngGbao5S+fAcnJ96BpuvNyDUKNO1MGEdGoo0xoTTrpbKD1kAmg243QHg/+GoOLBsl1scPeQSUdRd7JSUl59jMZmZmVvVXWCwWhg0bhsViISgoyG1/hdLbG8vSJZyaMpXkmbMIX/4JSm/3rkBNzf68/QB09mtcGrggCKSmfYKv72B0OkvtD6iJ/BNiiVvHseLKfQ38eSSHh77ay/W9LDw1tjPqVky1l8tl3D40mu5hJuYs3859X+5m0Y09z3mP11o6VQ0ajYauXbuyY/deBt9zD8qeM+D4etj0Dnw1C35+HHrNIjR6LLsO3UVx8U6MRjc2tvGT4OcnYfuHYgN6NSjkCvoF9WNLxhbu7F595ovcU4VMJceRb6vXc5GQkJBoi0hC418YzTqclS7Kiux4ekvOU2eTk1LC2kV7sZc7GHNHV8I7+7bIdV3lldiOi0F5FQfEQMXcPU78hs2mdN3bGEYPwH/eLchacSIk8S+8I+CWH2DDG/Db83BsPUxcAv7nN90KgkBeXt45ZVAFBQXiaby9sVgsJCQkEB4eXu/+ClVQEJalS0maNo2UW+dgWbYMhWfLrBInFyfjq/XFqDE26jzFJXsoKdlP1/gljR/UHy+DxgDj3jknOfvfpBdauevznQyK8ee5a+LaTK5Q/2g/XpvUjdkfb2PxXye49bKoqvsaIjQAevXqxdatWzl48CBdunSBmCvEW9YB0R73z//D50/Q9TWTemwhxp5u/g4aL+h6vehwddkDboV1jHcMmzM2ux2PTCZD4aPFUSAJDQkJiQsfSWj8i38sbq2S0DiLQ5sz+H3FYbwD9Yy7u3uzBuYJDhf2pOLTQXkFVKaVggBKfx0+nXyQpZahHBlJ2PDBZD5XRN77b+I5sAf67tWXIki0EnIFDFpw2gb3Vlh0GVzxDM6eM8jMyqoSFcnJyZSXlyOTyQgICCA2NhaLxUJYWBgGQ+N7PDTtIglb/D7JN00n9c47CFu0CLm6+UvpUktTCfVynz5dV9JSl6PVhuLre1njTlSWB/u+gmGP1tg7U+FwcfunO9CpFLwxuVubERlnuKJTAHMHR/HS2sN0DTXRp50vgkvA5ax/6RSAv78/ERERJCYmikLjDAGdYOxbMPwJZNuXEXLqfY7zKzErxqLuPR+ih58v1nrNhMTFcPh76Dy+2uuFeIZQaC+ktKIUT3X1fW1KHy1OaUdDQkLiIkASGv/C4KdDJoOi7HJC27dcmUVbxelw8ffKo+z7I40O/YMYfH0syiYOrBNcApWZZaLt7LFCKk4WIVS6kHuo0ESb8OwbJNrOmkThZ9iRS3GBHYCA++/Dtm8faXffQ+RXq1H6tswui0Tdsft2Iu2KZaj/eI7QH+/n1NqFrBEux6Y0ERoaSkJCQlV/hVbbPOJe17kzoe8uJGXWbNLvu5+Q119D1kyWtmdILWm80KisLCAr+zsiI+9GJmvkeHd+Iv7bbVqNh73w40H2pRXxxZx++Hi0zd6m+66MZUdyAXd8tpPv5w/ERyP2azTUVrtXr16sXLmSrKwsAgICzr3Tww8uu5/gXjdxYtNlpKtSiFgxEfzaQ9+5EH89qE+7UZk7gtEC6bvcCo0zr4m00jTa+1Rvq6v00WI7UtCg5yIhISHRlpCExr9QKCWL2zOUFthZ+/5eclJKGDK1PZ0GNp3doqPILiZwHy3EfrwQV2klMpUcdaQRwxXhaKJNqAI9qu3/MJp1VX8fmVpNyBtvcHLiRNLuXYBl6RJkSull3ZqUlpae01+RkZGBIAjodN3oE9KO/jkruEe2Eq5+A0Vc9ZOx5sCjd29C3nid1Dvnk/HkkwQ980yz9vGklqbSK7BXo86RnrEKQYDgoOpzF+qMywnbPhCtXT3ci/Hv9qSzbMMp/nN1J3pY2u5Ci1Ih5+0bujPqrb+Z/9lOlt4g9k00VGh06NABT09PEhMTGTNmTLXHqHQBBASOI027mfDe3yPb8h58vwDWPy2mg/e+VcyQ8Q6HwiS31wr1FIVGakmqW6FxpnRK6hWUkJC40JFmZNVg9NdRlH1pC420wwWsW7IPhVLOhAU9CYhsXAmLy+bAfrxItJ09VogjxwoyUIV44pEQiCbGhMZiQFaH0gejv560s1b7VAFmQl57leRbZpDzxhuY77uvUWOVqDuCIJCfn39Of0V+vthHYzKZsFgs9OjRo6q/Qi6XQ9m98O18WHUzHPtFzOHQeLXIeL2GDSPouWfJeOhhlCZTs71W7E47OeU5jQrqEwSBtLTPMJtHolY3cqfu2Hpx8nvtB24PKbU7ePirvYyOD2J6/4jGXa8FMBu0vDutB7M/SuSbnWlo9EpU2obt+igUCnr27MnGjRu5/PLL3e6sBQSMISNzNVZzGPrJy6HgFGx5H7YuEZ28Ol0Dai/x527w0fqgU+pILU11e4zSRwsOAVdJBQpj06TUS0hISLQGktCoBqO/nozjha09jFZBEAR2/ZLCpjXHCY4xMWJWZ3Re9S+fEJwuKlJKTgflFVCRWgIucaVOG2PCcGU42igT8gbY4hr9dRzYkH7Oap9H796YFywg++WX0cbHY7jyynqfV6J2nE5nVX7FmVtZmZhVEhgYSHR0NBaLBYvF4r6/wsMXJi+HncvFRPGkv2H8+2Dp0yLPwXTNNbiKish64UUUJhO+s2Y1+TXSS9MREBpVOlVQuBmrNYmOHV5o/IASl0BQVwjp6faQNTvTKK9w8tjojheMY1uvCB+eHNuJwsIKOg0IxuDX8NK7nj178ueff7Jnzx569+5d7TF6fQQANlsqen24aHow8nkY8hDs+hS2vCuKDLkS9q+BDleD4tyvWZlMRohnCKkltQgNwJFvk4SGhITEBY0kNKrBaNZxaJNY7nGhfOE2BRU2B79+fIjjO7LpfqWFvuPaIVfUrRRBEAQc2eWisDhWiP1EEUKFE5lOiTbahKlnANpoE0rfxjeRn3EGKy204+Xzz8TC55abse7eTcbDj6CJjkHTruVD2i42KioqSE1NrRIVKSkpVFZWolAoCA0NpUePHlWN2/Xqr5DJoMeNEDHgtA3uSLFxfPCDYoJzM+MzfTqOwkKyX3kVudGI93XXNen5z0wiw7zCGnyO9PQv0OsjMZmqn/TWmYJTcPQnsbHZzeeZIAgs35TEFR0DCDK2fFZGY+gSYmLFsZOEW1UgCA0+j8FgIDo6moMHD7oVGhpNECDHak0GBvxzh9Yg9mv0ng0/PwGb3oaVN4MxTCyp6nET6ExVh4d6hda4o6Hw/kdoaCIb51omISEh0ZpIQqMajGY9jkoX5UUVeJgujdWkgswyfnxvL6UFdkbeGkdUj9rTf53FFaLt7NECbMcKcRVXgEKGJsKA19AwtDEmVMGeTV5jbDKLjZdFOdZzhIZMJiPouec4NWkSqfPvJPKLL5B7SIFX9aG0tLQqGC8pKamqv0Kr1WKxWBg8eDDh4eEEBQWhbIpeGJ92cMuP8Pfr8PsLYinVhMXgF9P4c9eC//z5uIqKyHzyPygMRgwjmm4XLLU0FaVcib+u5tRtd1RWFpCdvY6odvc0frFj2zLR0jbOfZ/H1pP5HM4q4YmrOzXuWq1AlL8nXmoljiIXMlnjLK4DAgLYt2+f2/vlchVabTBWa4qbAxRiE/imt2HiUrFk7ddn4PcXoftU6DMXfKMI9Qzl77S/3V9HrUDupZKyNCQkJC54JKFRDf9Y3JZfEkLj+M5s1n90EE+ThuseTsA7sPrJucvuxH6ySHSHOlqAI6scAFWQB/pu/mijvVFHGJA3sSvVv/Hy1bp1BlN4ehD637c4dd0kMh5/nOBXX72kdqXqgyAIFBQUnGMzm5eXB4DRaKzqr7BYLPj5+Yn9Fc2BQgmD74fo0za47w2CEc9Cwswasx4ai0wmI+Cxx3AWFpF+330ovN7Do3/jU8wB0krSCPEMQSFv2HshI/NrQCAoaELjB7P7czHf4YwzUjV8sjmJdv4e9I9qHtc2h8OBzWbD07N6O9fGIJPJ6BFqoiKngHKHE1MjzmUymSgqKsLpdLoNgtTpwrDa3AgNEMupABRqGP8uXP4fsRE/cQlsXQyxIwgN60R6aTouwYXcjThS+ugki1sJCYkLHkloVIPRTwcyccU8JLbtOq80FpfTxeZvTrDzp2SiepgZdlMH1Np/XhKCU6AiraQqz6IiuQScAgqjBk2MCcPQMDTRJhSeLWuBWeUM5qZhXxMVRdDzz5N2993ounbFZ/r0Fh1fW8XpdJKVlXVOf0VpaSkgruS2a9eOIUOGYLFYMBpboVwjpCfM+RN+ekx08znyE4x7Gzxr311rKDK5nOAXXyClpISUO+4kfNkH6Lp2bfR5U0tTq9yF6osgCKSnf4G/3+Wo1X6NG4itCEozIcx9+VV2iY21+zJ5ZFTT9mbs2rWLhQsX8vPPP5OSkoLT6cTHx4e4uDhmzpzJ5MmT0WiaZiGnQ4Aneyhgd1ohwSENNxbw9vZGEASKiorw8fGp9hidNoyS0oPuT6L3BZXHP85TXgEw9GEYeA/sWwWbFhKa8jsVgWZytr5HQI8ZoDq/7FDprZFC+yQkJC54JKFRDQqVHC9v9xPZiwFrSQXrluwn/Wgh/SdG0+1ysZa8MtdaVQplP16IYHMi0yjQRJkwjWkn5ln46Vp9l8Bo1tdoQWwYOQLrLbeQ9X+voO3cGX1CQguOrm1QUVFBWlraOf0VFRUVKBQKQkJC6NatW1V/hU7XRury1R4w5nWIHQnf3A4L+8HY/0KHUc12SZlaTeibb5A8cxYpt84hfPknaGIaV7qVWpJKV/+GCZbi4p2UlR0lJvrRRo0BgILTk11TuNtDVm9PQ6mQMbFn48MFAcrLy5kzZw7Lly8/7778/Hz+/PNP/vzzTx577DG+/PJL+vbt2+hrqk7vCmxPKWRkr9AGfz55e4sLSwUFBe6Fhi6M7Jyf3J9EJhN3Nf7tPKXSQvdp0G0qofu+gB3Pkfrrfwj441Ux6C9hpihKTqPw0WI7UdSg5yEhISHRVpCEhhuMZh1F2eWtPYxmIetkMWvf34vT4WLsnDh8gILVR7EfK8RZaAe5DLXFC69BoWiiTahDvZAp2lb5kdFfR8axwhqPMS+4F9u+faTecw+Rq1ejMjffynhboKysjJSUlKpSqIyMDFwuF1qtlrCwMC677DIsFgtBQUGoVM3fcN0oYkfAvE2iDe7nN0CP6TDiedA0fekNgFyvJ+y9d0m68SaSZ84i/NNPUYc2zJpWEATSStMY3W50gx6flv4FWm0oPj4Daj+4Ns6sqp8p56mGfelFdA/zxqhr/GsiPz+fwYMH19jncIaUlBQuu+wyPvroI2644YZGXdfldAFQZHdQYndg0DbsuRiNRmQyGQUF7sPytLowHI5CHI4SlEo3uyfVCY0zyGQEdxwHO54jbdTz9Ew7DBvfhr9egy7XQt/bICgepY8OV3EFQqUTmap5y1ElJCQkmgtJaLjB6K8j82Rxaw+jSREEgQN/pHJgzXE6mjSEmbU4PztEPqAM0KPr7IsmxhtNpAG5pm2/NIz+Og5tzKgx0EqmVBLy2qucnDCRtHvuJfzDZcja+gS7jpzprzi7DCo3NxcQ3XPCw8Ordiz8/f2br7+iOfH0h+s/hR0fwdqH4dRfog1uWONC8NyhMBoJW7KYpKnTSJ45g4gVK1D61b90qcheRGllaYOsbR2OErKyvicifG6jG5sBcbKr8hDTrd2Qkl9Ox8DG5eSA+JqcNm1anUTGGSorK5k5cyadO3cmPj6+1uNvvvlmCgsLcTqdVFZWsnbtWgBcos7ABfz4869cP3Yku3fvrtM5z0ahUGA0GmsUGjqdBQCrNQUvLzfN894RotOXu3Modfjr/EkVKmDU/8HQR2HHx7D1fdj9GYQPRBlxB+CJo8COyuy+v0ZCQkKiLdO2Z5OtiNGs5/DWrAve4lZwCVSml1J+OJ+sjRl4llbQT6dArpahCfZEc1ko2hgTCsOF1fRuOu0MVlZUgae3+7Er/f0JefMNkm6aTvYrrxDw8MMtOMqmw+VynddfUVJSAoDZbCYiIqJqx8JkMrXuYJsSmUxMXY4YJDaKfzACLrtfvCma/uNLZTZj+WApp6ZMIXn2rYR//BEKr/rV/J+xLW1IWF9m1re4XHaCghuZBH6GglNiUnUNn2Ep+eWM6BzY6EstW7aMH3/8sd6Ps1qtTJ8+nZ07d9b5MTNnzmTixImkpqYSGhqKyyna2rqAFZ98TEJCQr1Fxhm8vb1rFhra0NPjrklonE4Hd7nAjcg/J0tDZ4IB88XdjEPfweZ3Ufx+B/Ahjo2rUY0cJ1roSkhISFxgSELDDUZ/HQ67k/LiCjwusMAkR76tKoHbfqwQV7kDJ1DqEFB28yf4CgtKs/6CFlBGs9hTUJRTXqPQAND36EHAgw+S9dxz6Lp2xTCq+er9m4rKysqq/oqkpKRz+iuCg4OJj4+v6q/Q6y+B1U7fKJixDv56Bf54+bQN7vviz5sYdVgYliVLSbrxRlLmzcOyZAnyemSEnBEaDdnRSE//HD+/oWg1jZ/4A6eFRoTbu4ttlRSUVxLq3fgenbfffrvBj921axd///03AwcOrNPxY8aMwd/fnw8//JDHHnusqnRK7rLzy/ff8NqrrzR4LCaTiaysLLf3q1Q+KBQetTtPOSugJAOM1QvOUK9Q0krTzv2hQgmdr4HO16BI3gbvluLc/hMcfAS63wh9bq3x7ykhISHR1pCEhhuqJrLZ1jYvNARBoOJkMeW7s7EdK8SZZwMZqMO8cEaZ2LozB6tGwYjb4/EPa7gjS1vC4KsTLW7r6AzmPW0q1t27SX/scTQxMY1u9m1qysvLz9mtSE9Px+VyodFosFgsDBo0CIvFQnBwcNvvr2guFEoxgTn6cvhqNrw3UOzb6Hlzk9vgatvHEvbeeyTPmEHa3fcQ+t+36lx2l1qSikFtwKCu3wp0cck+Skr2Exl5V0OGXD0FSRBzhdu7U/LFPjSLT+PE6qFDh+q1I1Edn332WZ2FhlKp5KabbuLDDz/k0UcfFXc0ZJC641ecTmejej68vb05dOiQ2/tlMplocesuSwP+EQOFSTUKja0ZW91fx5KA0ncbjnb3gyEati8Tk8fbj4J+t4OlX7PaP0tISEg0BZLQcIPR/4zFbTnBMabWHk61uGwOyndmU7o5A0dWOQofLdpYb7SjTKgjjOz8I5Ut354kvLMvo2/phNbj4pmgKlRyPH20dW7Yl8lkBD39FPbDh0m9cz4Rq1aiaAZP/7ogCAKFhYXnCIucnBwAvLy8CA8Pr9qxMJvNF2Z/RXMSmgBz/oJ1j8B3d8ORdaIzlWfDwvHcoe/RndD/vkXKbbeT/uijBL/4IrI6/C1SS1IbuJvxBRp1AL4+gxsy3PNxucSJbg0r4E0lNI4cOdKoxzfkHDNmzOD//u//+OOPP4j074JcIWPXr18TP+jKRtkze3t7Y7VasVqtbt3YdNowbNZk9ycxiX0cFJyC8OqzWUI9Q8m2ZmNz2NAqq98xU/hocZTKYcKTYrngni9g87uw7CoI6iqWWnWeAMqWtRiXkJCQqCuS0HCDUqXA06Rpkxa3lZlllG7OoHxHNoLDia6jL6ar26GJMiGTybCXV7L2w4Oc2ptLr9GR9BoV0eTp3G0Bo7+uXn8fuV5PyFtvimF+Dz9CyFtvtkj5mMvlIjs7+xxhUVwsGg34+/tjsVgYOHAg4eHhVa43ErWg8YSxb4k2uP+7A97tB2PfhvYjm/QynoMGEfLSi6QtuA+F0UTAIw/X+vfJLs/GrKufw5nTWU5m5v8IC70JubyJPpat+WL5jpf7MqzMIhsqhQwfj8ZNVNPT0xv1eIC0tLTaDzqLDh060L9/fz744AOeuu9VMnKTObI7kZuf+6BR4zAYxJ2okpISt0JDowmkoHCL+5OodKDzgWL3z8msF18jOeU5hBnCqj1GYVBTmVkm/o9aDwm3iA5sJ36FTQthzRz4+QnoNVu8r4amfwkJCYnWQBIaNWA06yhsI0JDcLiw7s+ldFMGFaeKkXup8BwUgkfvQJRnlXblpZXy43t7sZVVMvq2eCK6XLxfPEaznsx6+sxrIiMJfulFUm+/g/wPPsB35swmH1dlZSXp6enn9FfY7XbkcjnBwcHExcURHh5+6fRXNCcdRkHIJlFsfDYZet4CI54T8ziaCMOoUTiLi8n8z1MoTEb8b7+9xuN9db6cKDxRr2tkZf2A01lKcPCkxgz1XLQmkCuhLMftIX5eGiqdAsVWB0Z9w3c8zU1gHR0QEFD7Qf9i5syZ3Hnnndx3639Y9/fXmEPCie/VuHT3MyGWNaWYV1TkolHXsIPmqABrAXi6f055tjxAfL24w1VaeX4gqlwulg9GXw7Zh2DLe/DXq2L/Uvwk6DMPAtw0qUtISEi0MJLQqAGjv57spNa1uHUU2inbmkHZ1kxcpZVo2hnxmdIBXWdfZIpzyziObM3kt08OYQzQc938bmL510WM0V/H4S2Z9XYG8xo+HN9bbyX71dfQdu6MRyMDw8rLy0lJSTmnv8LpdKLRaAgLC2PAgAFYLBZCQkIu3f6K5sQrAKZ8Cds+gHWPwsk/YeJiMWm8ifC+/nqchYXkvPEmCqMJn2lT3R4b6hnKn6l/1uv86emf4+M9EJ2u+pXtBqFQgjHMfZ4D/5RMJeeX00Xf8HKj6OjoBj/2DFFR9W/snzRpEnfddRff/LCan/76hoSx1+Pn2bieuoKCAjQaTY0hllZbMl5eXdyfpCgFEGosW0stScVH64Ne5X6xwZFvQxttcn8dcwe4+g0Y/oTYw7F1sWiT226oWFYVfblb1ysJCQmJlkASGjVgNOs4uq3lLW4Fl4D9eCGlmzKwHcxDplag72HGs28QqoDzV2qdDhcbVh9j72+ptO8TyOCp7VGpL/6AJ5O54c5g/nfNx7p3D2n3LiDyq9WoAuvu8vPv/ors7GxA7K+wWCzExcVhsVgICAiQ+itaCplMTFeOvExsFF9yhdg4PvDeJrPB9Z0zB2dBIVnPPovCaMR49ZhqjwvxCiHflk95ZXmNk8gzlJYeoah4J3Fx/22ScZ6Dd3jdhUZow4VGly5diImJ4ejRow0+x8SJE+v9GE9PTyZPnsyr7zxPaWkJ0QPHNInQMJlMNX7mW60pmP1rcK8rOCn+W0Mie2pJKqGe7nt5BEHAWWBD4VMHxzO9DwxaAP3nw4FvYNM78Ol14BsNfeZCtylNussnISEhUVckoVEDJn89lTYn1pJK9Ibmb7ZzlVdStj2bsi0ZOHKtqAL1mK6JRt/NjFxTvXAoK7SzbvE+sk4Vc9n1scQNDrlkavyN/uIkqSHOYDKFgpBXT4f53XU34Z98jEx9/t/Y5XKRk5NTJSqSkpKq+iv8/PywWCxVOxa1TU4kWgC/GJj5M/zxEvz+Ahz9GSYsAp92jT61TCbD/OADOIuKSH/4YRQGLzwHn9+4fWbymFqaSqx3bK3nTU//ApXKB3+/yxs9xvPwjoC0HW7vNupUeGmUpBTUzVTBHTKZjHnz5nHvvfc26PFRUVGMHFl7f43L5UKpPPdra+bMmSxdupR+PQaD3qfR/SaFhYV4e7t3squsLMLhKK5596kgSSxbM7jPUkkrTSPEy/39rtJKhEoXyroIjTMoVGK6eNxESNkKm9+BHx+AX58R3dl63wrG+hsVSEhISDQUSWjUwD8Wt+XNKjRc5ZUU/XiK8l3ZCC4BXRc/vK+NQR1uqHHimn60kHWL9yGTwfgFPQhs1/AVyQsRg7+2Uc5gSh8fQt96k6Sp08h68SUCn3gch8NBeno6SUlJJCcnk5KSgs1mQy6XExQUVLVbERYWhoeHtELYJlGoYNhjEH3FaRvcQTDyReg+rdF2oDK5nKBnn8FZUkLq/LuwfLAUfc9zS7TOOE6lltQuNJxOOxmZXxMcfC1yeTN8xnhHwL6vQBCqfe4ymYwwHz3J+Y0TGgC33347n332GYmJifV6nEKhYPHixXUS6dnZ2eeVafXr1499f6WSn1XOyopS/Lwav6PRvn17t/efyc+oWWicEsvWathNSy1Npbu5u9v7Hfk2gPoJjTPIZGDpI94Kk8XE8W0fwsa3odM4sawqrFf9zyshISFRTyShUQMG/zOhcFaCaqqTbQQVKSXkrTiIUOHEa5gFj4QAFF41TzgEQWDPr6lsWH2MoCgjI2bHtciOS1tDqVLg6a1pXMN+TAzMmknBu++xtaiQ3SYTTqcTtVpNWFgY/fr1q+qvUFez4yHRhrH0gXkb4MeHxGbxI2vh6rfAw33zbV2QKZWEvPYqKbNmkzJ3HuGffIy2Q4eq+321vuiUun9Sn2sgJ2cdDkchwUGTGzUmt5jCwV4sNibrfao9xOKjr7K5bQxqtZqVK1fSr18/MjIy6vy4l156iaFDh9Z4TEFBARs2bOD3339n7ty5590vOAWcp//brxE7Gi6Xq9YdjTP5GbUKDW/3ZVMVzgqyyrJqtEE+IzQU3g0QGmdjssCVz8LgB2HXZ2IWx9LLISQB+t0GHceK4lxCQkKiGZCERg2o1Ao8TBqKcpreeUoQBMo2Z1D43QnUwZ74TO2A0lT7F0ql3clvnxzk6LZsul0eRr/xUcgVl24fgNFfXy+L26KionP6K7KyskAQ6B8TQ9RPPxP4xOOEDhhAQEAACsXF3+dy0aPxgmvegdgR8O1dog3uuHdqDLGrC3KNhtB3F5J803SSZ80mYsVy1OHixFImkxHiGXJ+6nM1pKd/gcnUGw+Pxpd2VcvZwXFuhEZsoBcfbjiJtcKJrpG9XeHh4ezYsYMbbriB33//vcZjDQYDy5YtY8KECbWed8aMGSQmJrJgwQLGjRt33v0up4DV6USvVuClbfikubi4GJfLVaPQsFmTUSg8USpN7k9UcApCeri9O6MsAwGhxh4NZ54VuafKbdlsvdF4icnivWbB0XWweSGsmiGWd/WeLdrmunmNSEhISDQUSWjUgtFfR2EdQ+HqisvupGDNUay7cvDsH4xxVCQyZe1ioTCrnB8X7aU4z8aI2XFE92y8peSFjtGsI/tU9c5gLpeL3Nzcqt6K5ORkiopEO1xfX1/Cw8OrdiyMOh1JU6aiWbyEgBEjJJFxsdFpLIT1hm9uhxXXirkDVzwtZhM0EIWnJ2GL3ydp6jSSZ8wk/NMVqE5btIZ6hpJaWvOORnn5KQoKN9Op06sNHkOtnBEaBacguPoynWt7hPLfX4/y7e50JvVqvOtVYGAg69ev59tvv2XhwoX89ttvVFZWVt0fERHBjBkzmD17NoF1NGFYs2ZNjfc7HC4KrJX0ifdB3ojMoIKCAoBadzR0OkvNpV6FSRDnXkCd2e2qcUejwN6wsqnakMuh/VXiLXOfuMPx2wvwx8vQ9QboO0/sdZKQkJBoAiShUQsms46clNImO19ldjl5yw/gLKzA54YO6LvWLc34xK4c1n94AL1Rw3UPJuATLPUHgCgEj24VncGcTmdVfsWZ/gqr1VrVX9GpUycsFgsWi6Xa/orQt97k5MRrSX/wIULfebtOKdASFxBegTB1FSQugZ8eg5N/wITFENytwadU+vpi+WApp6ZMJWXWLMI/+QSFyUSIVwib0jfV+Nj09C9RKg2Y/Zs2ZPAcdN7iLWM3dB5f7SEWXz1DYv35ePMprksIbRJDA7lczrhx4xg3bhxOp5PU1FRKSkqIiIioMZ+ioRSWVeAQYGBU43KDzgiNmpLFrbbUmsumrAVgK6rVcUopUxKgd5+z4ci3Nr5sqjYC48QdvuH/Ee2hE5fAtqUQc6UoONoNbXRfk4SExKWNJDRqwWjWc2xHTpNY3JbvzqZg9VEU3lrMd3RDZa59NdXlEtj6vxNsX5tEu27+DJ/eEbVO+rMB2Gw2rI5CKu1Oli3+mPTsFBwOByqVirCwMPr06YPFYiE0NLRO/RXqsDCCX36J1LnzyHv/ffyqqQWXuMCRycQykSob3OEw9BEYcDfIG7aLpQoOxrJ0ibizMWcO4R98QKhnKGmlaW4/N1yuSjIyVxMYeA0KRTNOJmUy0YFo16cw5BFQVv8+uLFfODM+3Mbu1CK6hZmadAgKhYLwcPeT7qagoKwCD60Sf0PjfpeFhYUYDIYa826s1uSaHcLO2AnXlKFRmkqQZxCKGl5zznwbmogWMvjw9IchD8LAu2HfajF1/JPx4N9RFBzxk8S0cwkJCYl6Is1Ya8Hor6PC6sBWVonu3wmtdURwuCj8/gRlmzLQd/PHNCEGeR1qoa2lFfy8dD+phwroNz6K7lfWsl1/kVNcXHyOzWxWVhaKSj0+JKAWPBk+fDjh4eGN6q/wGjIEv9tuI+fNt9DGdcFz4IAmfhYSbQL/9jDzF9ECd/0zog3u+PdqnBzWhCYqirDFi0mePp3U+XcR+shk7E47udZc/PXn71rm5v5KRUUuIcHXN/KJ1IGEmeJK9aHv3JbzDI41E+qt4+NNp+gW1q35x9SEJOeVUVnhIsS34WVwZ8jNzcVkMrm9XxCc2Gxp6HQW9yepg9BIK02rOUPD4cJZXNE8pVM1odSImRtdb4BTf8Pmd8Xepl/+AwkzRJHuVffMIQkJCQlJaNTCPxa31gYJDUeBjbxPD1GZXorpmmg8+gTWzcYxqZgfF+3FUeHi6ru6Edbh0mrSEwSB3Nzcqt6K5ORkCgsLAbG/wmKx0LdvX4IDQ1n11F4S4vvToV9Qk1zb7/bbsO7dS/p99xG5ehWqEPde9xIXMEo1XP6k2Bj+1Rx4dyCMOl2n3gBBr+sSR+jCd0iZfSuBr4Ksl0BqaWq1QiM9/XMMhm54erq3UW0yAjpB+ABIXOpWaCjkMqb2Cef1X47w2OhOjc6iaEm2nMhHr1XiZ2qcrW15eTlHjhxhcDXZKGew2TIRBEftGRoag1iy5obUklTi/OLc3u8osIFA3cL6mgOZDCIHibf8E7BlEWx5Dza8Kb6G+s5z2/MjISEhcTaS0KiFf0LhyuudU2E7nE/+F4eRqRWY53VFHepVp8cd2JDOn58dwTfEg5FzuuDVWl82LYjD4SAjI+McRyir1YpMJiMoKIgOHTpU9Vf8u8ZbtLhtuoZ9mUJB8MsvcWritaTedTfhK5Yj1zRuEiPRhgnvf9oG90H4ep5ogzvmjQY58Hj07UvI66+ROv8uZuULpA5KOS8rwWpNIy//Lzp2eL6JnkAd6DVTdBjKPgjmjtUeMikhlNd/OcKbvxzhqXHuJ8FtiaxiGyfzyhho0qDRN86iddeuXQiCQPfu7ifQVmsSAFptHaxtaxCrqSWpjIgY4fZ+Z2MyNJoan3Zw1UtiieHO5aLg2PMFWPqLgqPD6AaXHUpISFz8SEKjFlQaBXqjmsJ6WNwKLoHiX5Io+S0FbXsffCbFIq/Dl6Cj0slfnx/hwIYMOg8KZtCkWBSqi7Mh2WazkZqaWiUqUlNTq/orQkND6d27d1V/haaWSb7RX9fkFsRKb29C3nqLpClTyHr2OYKeebpJzy/RxtAaYPy7/9jgLuwH1yyE6OH1PpXX5ZcT9MwzXPHooyQtWQkvjj3n/oyMlSgUeszm0U01+trpcDV4mMVdjdGvVHuIr6eGR0d15Mn/7adXpA9j4oNbbnwNoNhWycwPE9GqFITnK5E7oF0dzTX+jcvlIjExkU6dOtXYrJ6bux6VyqcOGRoRbu8ushdRUllSe4aGXIbC2IYWOLRG6Hc79JkLh74Xy6q+vFHM6egzVwzE1F5aobESEhK1IwmNOmD019U5q8FZWkH+54exHy/EcGU4XoPDkNXBbrEk38baRXvJSytj2E0d6Ni/bX/J15eSkpJzbGazskSnKL1ej8ViYfjw4VgsFgIDA+vdX2H0b1pnsDPo4joT+OQTZDz6GLpuXTFNnNjk15BoY3S+RrTB/fo2WD5BnEBd/p96N8KaJk7gky3vcvnX28iLXYbvjFsAscY/PWMlAQFjUCpb0DlOqYae02Hze2K5mKb63dWb+oWzLamAB1ftoWOQgSj/pneIagoEQeDBVXtIyivn2zsH8sdru2hM99qJEycoKChg/Pjqnbng3ynuNSwcFZwSV/ndcMb2uGZrWxsKb02dvjtaHLlCtIvuNBbSd4qC4+cn4LfnRbHRZ464CyIhISGBJDTqhMmsJy+t9olsRXopeR/uR3AJ+M3sgraOaeIpB/P5acl+VBoFEx/oib+lbiVWbZUz/RVnl0GdsY308fHBYrFU7Vj4+vo2usHdaNZzbHt2kziD/RvTxIlYd+0m86mn0XTogK5z5yY9v0QbxBAM076CrYvg5yfhxO8w4X0I6lqv06SO6cHGcif9X34ZhdGIaeIE8vL+xG7PbJkm8H/T82b461XY86VYSlUNMpmMFyZ0YdzbRcxbvp2vbx+AXt32viaW/n2SH/dl8t60nkT4efCrQ0ChbPh7PzExkYCAAMLC3O9U1CnFvSBJFBoB7j8nqjI0agzrs7WNsqnaCO4uvjcuf+q0Ne4HYj9H+1Fi6nj4AMkeV0LiEqftfYO0QYxmHSd25dR4jLOskryPDyD3VOE3vXOdtrwFQWDHuiS2fHOC0I4+XDmjM1rPxtUZtwZOp/O8/ory8nJkMhmBgYHExsZW9Vd4eTW9iDKadVTYnNhKK9F5NX0Ta8Bjj2I7cIC0+XcRuXoVihpcaSQuEuTy0zkCQ2D1bFg8HIY9Cv3n17kePdQrlE8vS2SU72QyHn8cucGLtIBVeHp2xMurS/OOvzqMoeIEcMt74sqzsvrPKE+Nknen9WTc2xt4dM0+XpvUtU253W07lc+LPx5i9qBIRsaJDkjOShfyOoSeVkdhYSFHjhxh9OjRNT7PtPTPa09x375M3C3qdH56+RlSS1LxUnlhUBvcHuPIt6G+kBacDEEw/HG47D5RyG5+Fz4cDYFdoO9tosWym9ebhITExY0kNOqA0V+PvdyBrbSyWiEguAQKvjyMUOHEd258nUSG3epg/YcHOLk7l4RREfQaE9moRNuWxG63n9dfUVlZiVKpJDQ0lISEBMLDw+vUX9EUVDXs51ibRWjINRoxzG/CRNLuf4CwRe9JYX6XCuaOMHs9/PYc/PLUPza4phrsTU8TYYgg25qD4r65eBUXkXbvAkpusxF+9eOtN3Ef/AAsuRzWPQKj3SeSxwZ48eLELtz1+S4i/Ty4c1h0mxAbhzNLuP3THXS3mHhgZIeqnzsdLhQNFBrbt29HrVYTHx/v9pjy8pMUFm6pOcXdYYcdH4v2sGr3ZXEH8g5gMbi3KhcEAUe+DV0D+01aFZVOLNHrcROc+E0UHF/PE3cGe80SLXI9L8DnJSEh0WAkoVEHjP5ifXZhTjmBnuc3u5X8loLtSAF+N3dGaap9uzsvvZS1i/ZRXmRn1LwuRLbxL5SSkhJSUlKq+isyMzPP6a8YOnQoFouFoKCgBudXNIYzf5+GOIPVFVVICMGvvkrK7NnkvrMQ/zvvaJbrSLRBlBq44mkxLXnNXHh3AIx6RQwxq2HyPSRsCDqljq9OfM2cl17iyM1X4/1eMqa+MeC+aqZ5CeoqOgh9dw+E9YX469weOq5bCCdyynjt5yPsSyvi/67rilHXejuua3am8shX+7D46Hl7Sg9UClFYCIKA0+FC2QDjDIfDwY4dO+jWrVuNoZ7p6StrT3E/8A2U54m5JW7Itebya8qv3NvzXrfHCFYHgt15YZROuUMmg6hh4i33qCg4Nrwhlu51uU7cLQy8MJzNJCQkGockNOrA2VkagZHnTmRtRwso/iUJr2EWtO1rt8M8ui2LXz8+iMFPx3UP98IU0PiQqaZEEATy8vLOKYPKz88HwNvbG4vFQkJCAhaLBT8/vzaxyqnSKPAwqimsY8N+Q/EcOAD/+XeKYX5d4vAaMqRZryfRxogYCHP/hh/uhzW3nrbBfc1tXoKX2ovR7Uaz8shKZsbNIHeWFe83TGTMuwf1iuVooqJa+AmcpuctkLwZvp0vlraYO7g99J4rYokLMXLvl7sY+/bfLJzag87BLessZKt08vR3B/h0SzITeoTw3DVd0J0VeOpyCWLmRAN2NA4ePEhZWRkJCQluj6lzinviEjFx3j/W7SFrjq5BKVMyNmqs22MqT1t1X9BC42z8YsT3ybDHYMdHsHUx7Fou/q763gYxI8RSRQkJiYsSSWjUAbVWic6gPs9C1VlkJ//zw2iiTRiG11xK4XS62PTVcXavTyGmVwBDp3VApWl973Gn00lmZuY5wqKsrAyZTEZAQADR0dFV/RUGg/ua4tbGaNY3ucVtdfjOmYN19x7SH3iQyNWrUNfQPCpxEaIzwcTFog3u9/fCwv6iLW67IdUePrn9ZFYdWcX3h97HizQC/7uUwjteJXnmLCI+XYEquBXc5WQyGPM6ZOwR7Uln/wYa9+5SV3QK4Ps7BzFvxXbGL9zIM+M6M7lX7aVjTUFKfjm3rdjB4awSXpjQhet7hZ23uOGsdAH1FxqCILB161YiIyPx93e/q1ynFPeMPZCyBSZ94vYQp8vJl0e+ZFS7URg17sVa+a4c5F5qVEFt0/Grweh9YOA90O8OOPg/2LQQPrtedKjqM08sOavhdSghIXFhIgmNOmLy11F0Viic4HSR9+khZEoZPpPb12hDaCut5MdFe8k8XsSgyTF0GRLaajsBdrudtLS0KqvZs/srQkJC6NmzZ1V+hVZ74ayoGf11dXIGaywyuZzgl1/i5LXXkTr/LiI++xT5BfR7kmgiulwLlr5i/fnH46Dv7TD8CVCd+1ro4NOBbv7d+OLwl8wPjsbbMhivJZ1ImjKF5BkzCV+xHKWvb8uPX+0Bkz+B94eIOxsTl9ZYBmbx1bN6Xn+e+nY/D67ey4Zjedw2NIoOgc2z+FBiq2TNzjRe/ekIBp2Sr+b1Jy6k+sm509EwobFt2zZSUlKYMmVKjcfVKcV921LwChKb7d3wZ+qfZJZlMrm9e9cqV4WT8p3ZePYPRqZo/d3iZkGhEpvD4yZCSiJsXghrH4Jfn4WeN0HvW+vUAyUhIXFhIAmNOmI06yjI/EdoFP14ioqUEvznxKPwdF/b63IJ/LR0H/npZYy7tzvBdbS8bSpcLhcnT57k6NGjJCcnk5GRgSAI6HQ6LBYLQ4YMqeqvUCov3JfDGWew5rC4/TcKg4HQt97k1PU3kPmfpwh64fk2UUIm0cIYQ+HGb8SJ0vqnxObXCYvPqz2fGD2Gxzc9i2C6GplMhirAjOWDpZyaOo2U2bdi+fgjFDWExDUbfjEw9r+w6haw9IPes2s8XKtS8MKEeBLCfXhp7SH+tzudXhHeTOsbzlVxQagb2Ix9NoczS/hk8ynW7EjDWunk6q7BPD02DmMNgafOSgEAeT3sbdPS0li7di29evUiNtZ9qVOdUtxtRaLT0oC7QeH+M/SLw18Q7xdPJ99O7q+3JxfB7sQjIaAuT+PCJ6wXhC2DwhRIXAzbP4RN70DHq0XxHtZbsseVkLjAuXBnli2M0V/PqT15AFj35VL6dxrGMe3QhNe8orft+5OkHirg6ru6tajIKC8vZ9euXWzbto38/HyMRiPh4eH06NGjqr9CfhHVxZ5xBrOXOVrEIljboQNBT/2H9AcfQtetG97X1+CtL3HxIpdD/zvE0qmvboXFQ8Wdjb63V9Wdd1EX4iEX+KPQSv/TD1OHh2NZspikG28idd5thC1ZjLwFHNrOI26CWPKz9mHwjRKbd2thYs9QxnYL5ucDWXyyKYm7Pt/FM54HmNwrjBt6Wwj1rl/fmd3hZN3+LJZvSmLrqXz8vTTMHBjJDX0sBBlrD0o8s6NR12bw8vJyvvzySwIDAxkxYkSNx9YpxX335+CsEJ2W3JBcnMyG9A08N/C5Gq9XlpiJJtqE0rd+AZEXPKYw0XBh8IOw61PRgvmDKyG4h9jH0fkacSdEQkLigkMSGnXEaNZhK6ukNKWEopVH0HXxw3NAzfXVSfvzSPzhFH2ubkdYh9obxZuCtLQ0EhMT2bdvHy6Xi86dO3PNNdcQFnZ+bfPFxJmGfXfOYM1yzXHjsO7eTdZzz6Ht1BFdDfaYEhc5gXEw+1f49Rn46TE4sg7Gv4dgCCE7czXDzeF8e2Itd/W8D71KnIhrO3Qg7L13SZ45i7R77iX0rTeRtcau4hXPiM5AyyeKDbsD7qm1OVelkDOqSxCjugRxNKuE5ZuT+GhjEu/8dhyTXoXFR0+Yj17811v810OjILXASnJ+OSn55aQUlJOcX056oQ2nS6BPpA9vT+nOlZ0C67U7Up/SKZfLxZo1a6ioqOC6666rcRf3nxT3q92nuAuC2ATeYYyYJeGGLw9/iVFjZESEe2FTmVVGRVIxPlPcN+df9Kg9xJ21hJlw7BfY/A58NQt+flz8ec9bxF4PCQmJCwZJaNSRMxaqKcsP4u2lxntiTI0T95J8G798cIDwzr70HBnerGOrrKxk3759JCYmkp6ejtFoZPDgwXTv3h3P1ijJaAX+sbg93xmsOQl46CFs+w+QetfdRK5ehdJH+hK8ZFFpYcRzog3u1/Pg3f6UD72D8vLjTOn8Gt+uf5y1p9YyIWZC1UP0PXsS+uYbpNx+BxmPPU7Q88+1fEaLUg1TV8LvL8D6pyFlq5gV4sZN69/EBHjx1Lg4HhjZgd8OZ3Mqt4yUfFFQ7E4pJL3Qikv453ij7owQ0TGqSxAWHz29InyIDWhYQF2V0KjDjsbff//N0aNHmTp1KqZagjf/SXGvYbfy1F+QewRGv+b2EJvDxppja5gYMxGNwv2uVVliFnIPJbpOrdCz09aQyyH2SvGWdQC2vAu/vwR//B90vV60x/WvoWdGQkKizSAJjTpiOD2RLc63Eb2gJ3Kt+1+d0+Fi3eJ9qDQKLr+lU42N4o0hPz+fxMREdu7cic1mIzo6mhtuuIGYmJiLqiyqLqi1SvQG9TkN+y2BTK0m5M03xDC/BQuwLFmCrBWyRCTaEO0Gw7wN8P0CPH58jvhAb/z6XcZloZfx+aHPGR89/pxFCs/Bgwl+4QXSH3gAhdGI+aEHW373Ua4QdzNCe8NXs2HRZXDdRxDSo86n8NAoGRN//i5vpdNFeqGVUruDUG99k2dx1NV16sSJE/z2229cdtllxMTE1HretPTP8fTsVHOKe+IS8GsvWh+7Ye2ptZRUlHBdrPvMEsHhonxHFvqeAciaoNfloiKgk9hLNPxJ2LbsdC/HMogaDv1uE/+9iHfrJSQudKRPtDri3J+HWgbO9t6oAt2nvgJsWH2MnOQSRtwah9aj6etKXS4Xf/31F//973/ZuXMn3bt3584772TatGm0b9/+khMZZzCadS1icftvVIGBhLz2KuVbtpLz5lstfn2JNojOm8pxb7C/ow++eVZk7w5ksimOg/kH2Zu797zDjVePIeCxR8n/6CPyFi1qhQGfJvZKmPsX6H3hgxGw7QOxPKgRqBRywn096BxsbJbAv7qUThUXF7N69WoiIyMZUof8G7s9m7y83wgJnuxe9BVnwMHvxMTrGia6Xxz6ggEhAwgzuLfCtu7PxVXuwKNXYK1ju2Tx8IPB98Pd+2D8IijLEcv93ukjvk4rWnaRSUJCom5cmjPSelKRXkrBN8cwGNSU17JafXRbFnt/S2XgdTEERDS99aPVauXzzz9n/fr1DBw4kAULFjBixAh8W8Mis41h9G8doQHg0bcv5nvvIe/99ylZv75VxiDRtsjM+oYss4rK2evAO4IB3z5EiELPFwc/rfZ4n6lT8bvzDnLeeJOCzz5r4dGehckCM9aJzc3f3QNr5oC9+a2jG0ptpVNOp5NVq1Yhl8uZOHFinRZiMjJWIZOpCAhwH6zHjo9AqYWu7kur9uXuY1/ePq5vX0MGB1C2NRN1hAGVuW0FuLZJlGqxfGrOn3DLj6J72nf3wuud4JenoDi9tUcoISFxFpLQqAWX1UHe8oOoAjzwbe9NUY77VZOCzDJ+++QQMb0CiBsc0uRjSU9PZ9GiRSQnJzNlyhSGDx+OStV0K4SOykry09PIOnEMa2kJQiNXMlsao7+ewhYunTobn5kz8brictIffIiKU6dabRwSrY8gCKSnf4Gf7zA05m4w/X/Ir3iKybmZrD3xPQUpm6t9nN9tt+F9441kPv0MRd9/37KDPhulBka/ChOWwMFv4Y04sck9/0TrjckNTof4OVXdjobL5WLdunWkpqZy3XXX4eFR8240gCC4SEv/ErP5KlQqN4tFtiKxjCd+Emjd94R9cfgLgj2CGRjivrTKkWfFfrwIj97Sbka9kMkgvD9cvwLm74SuU8TU8Te6wOpZkLa9tUcoISGB1KNRK8Xrk3GVVeI/Mw7j5kySD+ZXe1yl3cmPi/bh6a1hyNT2TVpjLQgC27dv58cffyQgIIDp06fj7V23Rs1/n6e8qJDCrEyKsjMpOvNvdhaF2ZmU5uedUyah0XtgNAdiNAdgDAjEaA7EZA7AYA7EaDajULYtu0GjWYe9zIGtrLJZStZqQyaTEfTCC5y69jpS75xPxBefI9dLK5SXIiUleyktPUhUuwXiD+QKGHAX14Qm8PZvc/l69fXc0ucB6DP3HIcnmUxGwMMP4SwqJP3Bh1AYDHgOGtRKzwKIv07MOti6GHZ8AhvfhujLxXKhmCvE59XK/NOjce5nrtVqZc2aNRw5coRRo0ZhsdQtBK6gYBM2Wwohwa9Uf4AgwDe3Q2U5DLjL7XmK7EX8ePJH5nadi6KG31NZYiYyrRJ9F786jU+iGnwiYeTzMOQh2LVCtMddvBLC+oj2uB3G1JhxIiEh0XxI77wacFU4KduWhUefIJS+OoxmHdaSSuxWBxrdP786QRD4fcUhSvJtXPdQAuoaGsXrS0VFBd999x179uwhISGBkSNH1jtYr9Jm4+CG39n10w/knPpnRVJvNIkiwhxIaMfOGMwBmMyBqDRainKy/xEjOVkc27qJ4txsXE4nAAqlEv+IdgRFtycoOpbAmPaYAoJa1ULXdLrsoCjH2ipCA0Dh6Unof9/i5KTJZDzxJMH/9/JFbSssUT1p6Z+j0QTi63vZOT/3Dh/AyHaj+CLpN6avexj50XVwzbtg+KeJWiaXE/zcc7iKS0i9cz6WDz5A36N7Sz+FswYdIbppDXsM9n0lNuN+NhmMFki4BbrfCJ7+rTa86no00tPT+fLLL7HZbEyZMqXGUL5/k5b+OXp9NEZjz+oP2LxQ3OWZvFyc4Lrh62Nf4xJcjI8e7/YYwemibFsW+u7+yFStL9oueLQG0ZGq961w+EfY/C6snA7GMPFnPW4Cnam1RykhcUkhCY0asO7OQbA78Owjbmkb/U9PZLPLMZ8V1Lf/r3SObM3iypmd8QmqfWu+ruTm5vLFF19QWFjIhAkTiK9nTkNeWgq7f/6B/b+vp9Jmo13PXvQdPwmf4FCM5kBUWq3bxwZGn//F7HI6KcnLpSg7k9yUJDKPHeHkrm3sXPstAFovA0FRMQRGtycopj2B0bHoPBtmWdkQqixuc8qbpT+mrmhiYgh69hnSF9yHrls3fKZNbbWxSLQ8DkcZWVnfYQmbgUx2/uRxcsep/O/kD2wY/RyD/nwbFvaDMa+L4XmnkalUhLzxOsmzZpEydy7hn3yMtn0r23mqdNB9qnhL2w6JS+GPl0Rb3I5jofs0iBxcawZHU3O20Dh799dsNtd797eiIo+cnJ+Jjrq/+gWC5M3w8xPQ/04xvdoNLsHFl4e/5MqIK/HVue+fsx3Mx1VaiUdv9xkcEg1AroCOY8Rbxm7Y/J5o3fz7i+Lrt89cMaBSQkKi2ZGEhhsEQaB0cwbaWO+qlNZ/JrLWKqGRnVTMX18eocvgEGJ6BTTZ9ffv388333yDwWBg9uzZmM3mOj3O6XBwfPsWdv/0Pcn79qAzGOk+cgzxw0di8K/bOdwhVyhO74AEYInrWvVza0kxmceOkHHsMBnHjrBz7bdsWiU2vJoCgwiKbn9afMTiH94OZRP2lZyNWqdE56WiKLt1GsLPxjh6NLY9e8h68UW0nTq17oq0RIuSlf0dTmc5QUHV25l28etCR5+OfFZ0gEHzNsJ3d8OqW8SQv1EvV9X8y7Vawt59l6SbppM8axYRK1agrmP5T7MT0lO8Xfks7FwuNkbvWyWuHHe9AbrdAD7tWmQozkoXcoWMSkcl33//Pbt37yYhIYERI0bUu4ctI3MNICMwsJpdiNIcWHkzhPYSrVZrYGP6RpJLkuuUBK4K80LdhAtUEv8iqCuMfxcu/w9sWyoK5K2LIXakuPsReZlkjysh0YzIhAut47eFqEgpIfudXfje3BndWaneSxf8RdfhYSSMisDpdPHpk5vReqqZsKBHnQKj6sLBgwf54osv6Ny5M2PHjkWjcR/ydAbB5WL7D9+w/bs1lBbkE9KhE12vHE1M7/7NNrF3OxZBoDAz/bT4EAVI9skTuJwOFEol5ogoAmNiT5ddtccYENhk5UWrX96O0V/H5bd0apLzNQahspKkm2+hMiVFDPPzb73yEomWI3HbBFRKI926LXN7zA8nfuDBvx7kxUEvMjpyFOz+HH64XwzJm7BIbHI9jSM3l1NTp4JLIHzFclR1XHRoUQQBUhNF0bHvK6gogfAB0G0qdBoHmuYLDt31SzIbv98PMScpKChgzJgxdO3atfYH/gtBENi8ZQSenh3oEvcvm2qXEz4ZD9kHYM5fNaaAF1cUM/nbyfjofFh+1XK3n22OQhuZLyXiPT5GagRvSSptsHelWFaVvR8C4kTBEXetGLopISHRpEhCww35Xx7GfrKIwPt7nRO4t+qlbXgH6Bl+cyeObc9m3eJ9XP94b3xDmuaLND8/n0WLFhEZGcnkyTV4uJ+FtaSYH99+lZO7d9Bl6BV0GzEGc0TLrCbWFUdlJTmnToi7HkcPk3nsCIVZGUDTllz98uEBirLLmfhAQlMOv8FUZmdzcuJENBGRWJZ9gKye/TUSFxYlpYfYunU0XeIWYjaPcHucIAg88vcjrE9ez2ejPyPKFAUFSaKVbPJmGHg3DHlEtPIEKlLTSJo6FYXBQPjyT1AY3TsdtToV5XDoO1F0nPwTVHrofI0oOsL7N/nq8bcrfmfHkb/w8TMxadIkAgIatrNcWLiN7Tsm073bx/j4DDj3zl+fhb9ehZu+EVfA3SAIAnf9dhfbsrbx5ZgvCfUKdXts0c9JlP6VRtCjfZBrpP6MFkcQ4OQfouA4shb0ftBrJiTMBK+mq06QkLjUkYRGNTjLKsl4YQuGy8MxDDk3ZOnnZfspybUx4f6efP3aDgQBxi+oe3puTVRWVrJ06VIqKiq49dZb0dbQQ3GGjGOH+fb1F6m02xl9xwIiurlpYGyDlBcXkXX8aFXJVebRw9jKRL9+76BgUXhEizsf/hGRdXK5Svz+JHt+S2XmK63o1PMvyrdtI2n6zfhMn07AA/e39nAkmpHDR54iO/sHBvT/G7m85tdreWU5U3+YilNw8vnoz9Gr9OLK+YY34bfnwNwJJiwGcwcA7MeOkTR1Gup27bAsXXJhOJoVJou7NbtWQMEpsbG821SxvMrkPsCuLuTm5rJx40Z27NiB3hHAXY/PqNPurzv2H7iPosLt9Ou3HpnsrN3poz/Dimth+BMwaEGN51i2bxmvbX+Nt4e9zeCwwW6PE1wCmS8lom3vjfeE2lPKJZqZ3GOiU9WuFeByiLsbfedBUP36IiUkJM5HWl6thvLtWSCAR8L5qxpGfz0pBwvITy8j7UghV87q3GTX/eGHH8jNzWXWrFm1igxBENj10/f8/tESAtpFMebuhzD4XVilOXqDkcjuCUR2F3cfzpRcZRw7cnrX4zCHN/5Vr5Irk1mPrbQSe3klGn3bsN/VJyRgvv8+sl98CV18PIaR7le6JS5cnE4bmZlfExJ8Q60iA0Cv0vPakNe4/rvr+c/G//DSZS8hkytg0L0QNQy+mg3vD4Yrnobet6KJjiZs8fsk3XwLqXfdTdg7byNTq1vgmTUCkwUGPwCD7oPkjbDrU/j7DfjteXFnoPs00XpUXTfR5HQ6OXLkCImJiZw4cQK9Xk+HkF5UJJkaJTIqK4vJzv6RyIg7zhUZhcni3yF2JAy4p8ZzbMvcxps73mRWl1k1igwA25ECnEV2KQm8reAXDaNfgWGPijbOW9+H3Z9CxCBRcMSObBNWzhISFyKS0PgXgktsAtfH+6PwPP9L3Oivw1pcwe5fU9AZ1LTr1jST+507d7Jz507GjRtHYGDNXz4VNis/Lfovhzf+SferrmbwtBkNzrQQBIHsCgdJVjtJtgqSrRWUOV2E6dSEa9WE69SEatVoWsBJRiaT4R0UgndQCJ0GDQXAUVFB9qkTZB4XxcfJHdvY+aPocqXzMhAYHVtlsRsQHYvRfHbDftsQGgA+06dj3b2bjEceQRMTjSZKcjy52MjOWYvDUUxw8KQ6PybSGMnTA57mvj/uo3tAd27ocIN4R3A3uPUP+OVJ+PEBsVF83Dvo4uMJe/u/pMyZS/pDD4v2yYoLYAIkl0PEQPF21ctw4Btx9fir2aAxQOfxougI7VVtaVVJSQk7duxg27ZtlJSUEBYWxoQJE+jUqROb15wkOS2vUcPLzPoGQagkKGjiPz902OHL6aDxEi2Ia/gMzLXmcv+f99MzoCe3d7u91uuVbc1EFeiBKrT5elckGoDOGwbMF7M3Dn0rllV9PgW8I0Wnqu5TxdeDhIREnZFKp/6F7XA+ucv24z+vK5rw8y1SM08Wsfql7SjVcrpdbqHP2Mb3QmRmZrJkyRK6dOnCuHHjajw2LzWZ/736PCX5eYyYO5/2/epXIlThcvF9ThHfZBdworyCFJsdq+ufl4CfSoleISfdXsHpwF1kQLBGRZhWTX9vT6YF+RKsbb2V1PLiotPC4wiZx8R+jzMlV6bAcGz2icQm2OgyJLrOJVctgausjJOTJgMQ8cUXKDwlp5mLie07bkCGnB49VtT7sS9tfYnPD3/ORyM/It7/X+UaR3+Bb24DZwVc/RZ0Gkvxup9Iu+ceTJMnEfjEExduVkv+Cdj1Gez+DIpSwDcGuk2BrjcgeAWSlJREYmIiBw8eRKFQ0KVLF3r16kVQ0D/N2H98dpjME0VMfrR3g4YgCAJbE69Gpw0lPv69f+74fgHs+BhmrIMQ9+WxDpeD2T/NJqk4iS+v/hI/Xc3Be87iCjJe3IJpTBSe/YNrPFaiDZC6XcxOOfC12G/U/Uboc6tYBighIVErktD4F7kf7cdZaMc8v3u1X962skqWLvgLgJue74+XT+NcKmw2G++//z4qlYpZs2bVaMeYn57GikfuwcvXj6vvfRjfkLrXOKfaKvgkPY8V6XnkVjroY/Sgi5eOcK0Gi06NRSvePJTi6qjDJZBRUUmS1U6ytYJkWwUnrHbW5xVjc7kY6WdkerAfg7w9W32SIwgCBRnpZJ7u9TicGE6ldQcO6yYUKhXm08GCgTHtCYqKbVKXq/piP3GCU9dNwmPQIEJef63Vf3cSTUNZ2Qk2b7mCzp1eJzBwbL0fX+ms5JZ1t5BVnsXKMSsxaU3/ukAefDtfbLLuNhVGvkjBt+vIfPwJfOfNxXyX+4TqCwKXC07+gbDzUwoP/sYRZwjb1P3IqdDi6+tDr1696dq1Kzqd7ryH/vrxQfIzyrj2wYYZQBQX7yFx23i6xi/Bz0/cSWXPSvhqlphvkjCjxse/sf0NPtz/IUtHLKVnQO09csW/pVC8PpngR3ojbyPlnRJ1oChNDKvctgzsxdBhtLjzYekn2eNKSNSAVDp1Fo58G7ZD+ZjGR7udAGr0SmQyMAXoGy0yBEHgm2++oaysjFtvvbVGkVFpt/Hta8/j4e3DDc+8gqYOjaAuQeCP/BI+TM/l59xiPBRyJgf5cFOwH7EeNY9dKZcRplUTplXDWXlXpQ4nq7IK+DAtl0m7jxOl0zA9xJfJgT4YVa3zcpLJZPgEh+ATHEKny4ZRkLMNo/84Og+cWCU+ju/Yyo4f/wecX3IVGN0erWfLlDBo2rUj6PnnSbvrLvK7dsX3lptb5LoSzUt6xhcolSb8/RvWf6NSqHhl8CtM+nYSD/39EAuHL0R+dq+Ah6+YRL1rBfz4IJz6G+8J7+O6bwHZr7yK0mTCZ/r0Jno2LYfL5SIrK4vk5GSSk3NJTu5AiTMEmQw6KHK5iu+ILC1Blncd5KshuPt5kzqnw3VOKnh9EVPcg/5Jcc8+BN/eBfGToectNT72t+TfWLpvKQt6LqiTyBBcAmXbMtF38ZNExoWGMUTM4rjsAdjzuVhWtewqCOomCo7O46tc4iQkJP5BEhpnUbY1E5lagb6be5/6zONFCAJ4NlJkAGzatImDBw8yefJkfH3dp8cKgsAvSxZSmJ3J1Odeq5PIyK1wcPuBJP4oKKGzp5aX24cx3myq2rFoKJ5KBTeH+DE92JctRWV8mJbLM8czeCMpi4Wdwhni03qJ3GcwmnWU5NoIjo0jOLZD1c/Li4uqsj0yjx1mxw/fnOVyFXJadNTP5aohGEZciXXmDLJfeQVdXGf0vXo1y3UkWgaXq4KMjK8IChqPQtHwhuRAj0BevOxF5v48l/f3vM/crnPPPUAmE/sYwgeINrjLrsJ34L04Z9xC1gsvIjcaMV1zTeOeTDNTWVlJWlraaWGRTEpKCna7HblcTkhICPHx8VgsFsLCv6oQVwAAv81JREFUwtDr9ZBzRBRXuz8XV5PNncQdnfhJ4Cl+TjsdrgZnGP2T4j5TTHE/9gusng3e4eJuRg0r1SklKTy64VGGhQ1jeue6iTz7iSKceTY8ro1t0Hgl2gBqvbjL1eNmOP6rWFa15lYxMb73LOg5Q1wYkJCQACShUYXgcFGWmIlHzwDkaveT8b1/pKHSKHBUOBt1vZKSEn755Rf69etHx44dazx276/rOPDnr1x1+734hYXXeu7EojJu3X+KCpfAp/HtGOrj1eQlOjKZjL4mT/qaPMmyV3L3oWRu2H2CBRGB3BMRgKIVt5KN/npSDuSf93O9wUi7Hr1o10Oc2J9bcnWYjKNHOHTG5erfJVfR7TGaA5rs92i+5x5se/eRes+9RK5ejSqgDYawSdSJnNxfqKzMJzh4cqPP1T+4P/O6zWPhroXE+8fTP7j/+Qf5RMLNP8CG1+H3F/EPiMN59ZVkPPoYCoMBr2HDGj2OpqK8vJyUlBSSkpJITk4mPT0dl8uFRqMhLCyMAQMGYLFYCAkJqX5H1z8WrngKhj0OJ34TsznWPyU2ycdcCd2m4qwIbfCOxpkU9+DACaIT1h8vQ/TlMOF9ULvvobI77Sz4fQEmjYlnBj5T58+FssRMlP461BGtvyAj0Ujkcoi5XLxlH4It78Kfr4i3+MmiW5W55u92CYlLAalH4zTlu7LJ//wwAff2RGWufsegvLiCjx7eQEisibz0Mm55aWCDr/fnn3/y559/smDBgmrrjs+QdeIYnz1xP50HD+eK2XfUeE5BEFicmsPTx9PpYfBgUedwgjQts5XrEgTeSMri/05mMtjbi3c6heOrbh0de2RrJj9/cIDZr1+GWle/MYguV8fPSTUvysoExJKroJj2BEbFNknJlSM3l5MTJqIKCSH8ow/bvlWpRLXs3Dkdp6uchJ4rm+R8LsHFbb/cxoG8A3x59ZcEetTgQpe2A76ajVCQRtqR3pTuSSJs8WI8+jSsMboxCIJAYWFh1W5FcnIyOTk5AHh5eWGxWLBYLISHh2M2m5E31MmuPB/2rRZFR8Yu/lf0DGpvf0beGgeBXep1qsRtE9C6dHQ5XA7Hf4Ohj4pZGbWM7alNT/Ht8W9ZPmo5HXw61HjsGZxllWQ8vwXjiAi8LnMf5CdxAVOWB9uXwdbFUJoJ7YaKZVXRl9f6mpKQuFiRhMZpst/djUwpw3+2+4Ce7WtPse37U/S/Npo/PzvC7DcuQ62t/2Ta6XTy5ptvEhUVVaPLlK20lOUP34XW04vrn3oZZQ0T0RKHk3sOJfNdThFzw/x5tF0wKnnL7yr8mV/C3AOn0MrlLO4cQU9jyzsrZZ0sZtVL25j0SC/8LY23Ivyn5Op0qvnxI9jLyoCzSq5O73r4h0fUq+SqfOdOkm6ajvf11xP46CONHqtEy2K1prBx0xA6dnyJ4KBrm+y8BbYCJn03iQB9AMtGLEOlqOE1VVEGPz2Oa8tSUrbFYMsWsHz0Mbq4psv4qQ6Xy0V2dvY5wqK4uBgAPz8/wsPDq8SFyWRqHuODrP2seesQnvbDXOH5EgTGi+VlXa4DvU+NDy0pPcShX66kx1ElCkEGE5dA1NBaL/m/4//j0b8f5en+TzM+Znydh1ryVxpFa08S9HDvaq3TJS4iHBWihfPmdyB9p+im1neuGFRZw06ZhMTFiFQ6BVSkl1KRVIzPVPfbnC6XwL4/04jpFYB/mDh5Lc614hda/4nskSNHKC4uplcNtfmCy8WPC1/DXlbGdY8/V6PIKHM4GbfjKCm2CpbGRTDa31TvMTUVl/l48UtCe+bsT+Kancf4JD6yxfs2zs7SaAqhcV7JlctFQWb6WeLjCIc2/onL6RRLriKjCIqKrVPJlb57dwIeepCsZ55F17UrxjGjGz1eiZYjPf1LFApPAsyjmvS83lpvXh38KtPXTue17a/xYO8H3R+s9oAxryGPHUGo9naSf1SQMmM64Z+vRNMussnGVFlZSXp6OsnJySQlJZ3TXxEcHExcXFxVf4WHRwtNpgI64zRYUQR2gD7dxH6OdY/Aukeh/VWi6IgaDop/fdUJAuW/PkDP3UXIQnrDpI/AULvV7JGCIzyz6Rmuib6mXiJDEATKEjPQdfaVRMalgFIN8ddBl2shZYvYx/HD/bD+Geh5M/SeDUZpV0vi0kASGoD9WCEylRxdJ/crYEl7cynNtxM3OAQvX7ERvCi7YUIjMTGRkJAQgoPdf7HtWb+WE9u3cs0DT2A0uy+dEASB+w6ncMpWwfc9Yujo6b4Mq6UI1qr5qns0N+09wW0Hkvg5oT0hLZi7ofVQofFQUphd3iznl8nl+ASH4hMcSqfLxHr4MyVXGUdF8XF8+5Z/XK4MxnMazQOjY9F6/FNy5T1lihjm9/jjaGJj0MZKjaIXAi6Xg4yM1QQGjkWhqFuydX2I94/n/oT7eWHrC3Qzd2NERC2OVrEjUNy9mbDA20hatIPkKeOJ+GIVqvDoBl3farWes1uRnp6O0+lErVYTFhZG//79q/or1K1Y9ud0uFColdBhlHgrzYG9K0XR8ekk8AwQa+a7TwP/9mArxvXN7QQc/IOCjn3wvvb/2Tvv8KiqrQ+/UzOTNuk9k0IKCQQSIPQmKnYUQYqoIGJX9MOKer1eG5Yr1osdFQvd3hGkt9BDb+m915lMO98fBwJIZtIbnPd5ziPO7LPPnmQyc9Zea/1+v4CjjNEpqk3VzFk7B727nqcHPd2sNZoyKrEUGvC4TjLqvKiQyUA/WDzKMkTH8R0LYfO7EH89DLkfQlomyywh0V2QAg1EWVuFlwaZwn4N5f51OfiFu+MX5o4gCKi1SiqKDM2+VnFxMSdPnmT8ePu7YYLNxs5fvidmyAh69Hdca/1FbgnfFZbzQXxYlwgyTqOSy3gvLoyxO45w94F0vk2KQt2BNao6X+cW/X5ailKtJigmjqCYM1mxf5Zc7fzl+zMlV0EhBJ4VePj96xnqDh8h58HZhK9YjsJNcp/t6pSUrKXOVNAmTeD2mNpzKnsK9/D0xqepNdc2vovu4oNy5lL0oe+RPvc9MiePI+yTd1H2vrTRa/2zv6KwsBAAV1dX9Ho9Y8eORa/X4+fnh6ILuZFbzf+Qt3X1hSH3ic24eXthzzew+0vY/I6oWlVTBKYq9sW5EXXdR00KMnKqc5izdg4lhhKWXLsEjbJ5qoM12/NReGlw6uHRzFcnccHgGQZXvASjnxTfk1vfh08uhZBk8b0ad/35mTcJiQsA6V0NWMuMKB3I1ZoMFjIPljJ6WiwgKi7pfLUt2jHfsWMHWq2W+Ph4u2My9++jLC+XsXfNdjjX7spanj2Ww8xgH27w93Q4tjPwViv5uFc41+8+zgsncnkhuuNSxTpfLRXtlNFoKvZKrvKOHamX2D28aV19yVVIjyDi1mzh6F13EvjWm+j8Os9YUKJxcnOX4ubWC3e33u12DZlMxgvDX8B5mzPPbn6W3YW7eWrQU45vdGUyVGMfRO/bl4yZ95J1193o/3UrirFP1d9U22w2ioqK6oOKjIyMc/or9Hp9fcbC09OzS78P7fpoyGQQlCgeY1+AP5+BlE9AsHGwpxsWD3+cc09AZCjI7QdO67PXM3fDXNzUbnx6xaeEuTeu/Hc2NoMFQ2oxbmNCkXVC35xEF8PJDQbdDcmz4NifsOV/sGImuIeIJVX9p4O2632fS0i0FCnQQMxoaGLs/2FXFIs7494hZ8pdPPy0VBQ2b8fcZDKxZ88e+vfv79Ccb8+fv+Adoic4zn4zZ6nZwqz9afR20/JcVOO1xZ1FP50Lz0UF8fSxHJJ1rozz8+iQ6+r8tOQcKeuQazWVs0uueo0Sd5jNpjqK0k/Wl1wd6ZlP3O69/D1lInlR4edkPf5ZciXReRiNeRSXrCU29j/tfi0nhRPPDX2OJL8kXtj6AgdLDjJ/9Hz07nrH5yWNRP/lEjJumUb2K1/gd+QPDsQ9xJFiC1lZWRiNRuRyOYGBgfTq1au+cbvD+ivaCDGj4eAG3myE358U1YD63kzNwCkUHJlJr2wzbLkR3IOh7xTRn8P7TGmTxWZhwZ4FfJz6MaNDRvPi8BfROemavb7aPYUIVhsu/R2oh0lcfMgVYh9R7FWQnwpbP4C/X4J1r0LizTDoHvCJ7uxVSki0mos+0BBsQn3plD2qio0A6HzOlCbp/JzJPV7RrGvt378fo9FI//72HWSrSoo5sWMbY26/2+4uoiAIzD6UicFm46Ne4R1aktQSZgb7kFJRw/8dziTBVUuEc8tNzZqKh58ztZUmTEZLi5TBOgqV2unckquHIOfVV+n5+RcEjb2CLIuZHT9/R13t+SVXgdGx+OjDUSi77uu7UMnLW4Fc7kSA/3Udds3ro66np1dP5qydw+SfJ/PisBe5NKzhkiiDwUBWVhaZ+QWUjZ9A3LJlWH8uIqH0fhTeVxDe7yaCovt2en9FW2C1CA0b9tmsogHfmheh6AiMexeSbiX3xCuii/vNmyB/vyiTu/0T2PAG6IdA4s0U9xjFE1ufZ0fBDh7u9zC39779XKf2JiIIAjXb89H09Ebh3r1/zhLtSEAC3PA/uOzfYg9HyifiET1WlMeNHO3QPFJCoitz0d+hWKtMYBUclk5VFBtQOinQuJ7JQuh8tdSU12E2WVE5MPg7jSAIpKSkEB0djZeX/abzfat/R+nkRPxI+zKLuypr+aukko97hRPSgU3WLUUmk/FGbChX7jjKZzlFPN8BJVTup4LCqhIj3sHdKwsQ9OijWI8cRfHj7/T7diVKf3+7JVdKlVpUuYqOEf09omNx9207Y0GJ8xEEG7l5y/H3vwalsmN7aWK9Ylly7RKe3fQsD699mBm9ZjC732xqq2rP6a8oKCgAwMXFBX3PnhgfeBDFu+9Skp5EouovZNv+hKobQDELQgd265uY80qnaorFnowdC6E8EwITYdYqCOx7rou7UiM24oYMgCvnweFfYPdX7PzjUR7z98Gm1PBJwoMk97odWhBkAJhzqjHn1eB+RXibvFaJCxxXP7GHY/j/QeoKsY/jyxvAN07s4+gzCVRdpxdTQqIpSIFGqZitcBRoVBYb0Plozrl50/mKf+yVRYYm3cjm5eWRl5fHzTffbH8tFgupq/8gfuQY1Fr7Kjaf5RSj16i52rf5afzOwkWp4KXoYDZX1GC02tA4aLxvC9x9xN9nZXHTfj9dCZlCQdAb/yVtwgSyH3qYsK++bLDkqjDtpOhqfuwIx1O2svOXHwBw1nkQ0CO63tU8oEe0VHLVhpSWbsJozCG4HZvAHeGidOHJ+CfxqfNh0YFF/LbnN/rn9Udr1eLt7Y1er2fw4MHo9Xq8vLzqP7cqgoPIffwJFLH34zfaA9mOhZC6DPwTIPkO0XvCqfu9T6wWGwqFDLK2i7vAB74DZNB7AkycBcH96gMpuy7uKi1C7wl8IavmLdJIdPLl9cJifH94BNa9I5ay9J0qNvQ2g5rt+Sh0aoeluRIS56F0gqRp4vsufaMoj/vTQ7D6PzBgptjf4SaV4kl0Dy76QMNyKtBQeDoONNx9zt1F0J1yD68obNqNbG5uLjKZjB497MsbHk/ZSk15GYmXX2V3TInJwo+F5TweEYCim+1C9nV35seicrZXVDOynb01nN3VKFVyKk+VvXU3lJ6ehLz9Nhk3T6Ng3jwC//3vc55XqZ0Ijo0jOPYslauK8vqMR97xo+eUXHkFhZxxNZdKrlpFbu5SXFyicXdP6pDrWSwW8vLyyMjIIDMzk6ysLAwGAzKZjPFB41mlWcWmyE28NOQlRkWOsjuPbtw4rOUVFLz8MgrfOfg8uAtOroGUT+GXObDqWfFmOvkOUQa2GyAYq+mp/oOoXXNh3SHwDIcx/xKlbBsw7MvNWYpO1w9Xl3Nr36tMVTyz8RnWZK3h9t63MztpNkqZAjK3wp6vRDnStfMgfIQ4d9x1jRqv2eqs1O4pwnVEsNQELtEyZDKIGCEeJSdEedyt78PGt8RAevC9otiBhEQX5qK/07CUGpG7qZA7KH+qLDYS1sv7nMe0bipUGkWTlafKysrQ6XQOZSH3/vkLIXG98dGH2x2zOK8EmQymBnrbHdNV0amUxLpoWVNaxQhPt3Yt75HJZLj5aOsb+bsj2oQE/J95hvx//xttn754jL/B4XhnnQc9+g+sl0QWbDZK83JEid1TjuaHNq49v+QqSjQWdPf1k0quGsFkKqao+C+iop5ot5+V0WgU+ytOlUHl5ORgsVhQqVSEhIQwaNCgev8KJycnHjQ8yBMbnmD2xtk8UP0AdyTcYbefwOu2W7GWl1M0fz4KnQ7PyZMg6jIoz4Kdn8OuL2D7h+INdfIs6HlNk+RfO5yio7DjU9jzDaPdq6jRjoZxL0KPMWCnZ81gyKK0bCNxca+e8/jh0sPMWTuHcmM5b1/yNmP0Y848GTZEPK56DQ7+KHpzfHc3/PIo9LpBDDpCBzVYembYV4RgtuIywL8NX7jERYt3D7jqVRg9V+wr2vYh7FsCYcPEgCP2aofqaRISncVFH2hYS40ovezXPAo2gcoSA+6+52Y8TkvcNtWroaysDE9P++lzq8VC9qEDjJl5j/0xgsCi3BLG+XngrW7bX11ubi7r1q0jLS2NmpoawsPDSUhIYPDgwW16nVGebszPyOdIjZGe7ez7ofPRUNWNAw0Aj0k3Ydi7l/znnkPTMxZNnH33+n8ik8vxDg7FOzjUbsnVse3/KLmKiql3NZdKrs4nL+9bZDIZgQFNd4VujMrKyvP6KwRBwNnZmbCwMC699FL0ej0BAQENblR4a7358LIPWbB3Ae/sfoc9RXt4efjLdhWSfB58AGtFBfnPPYdC5477lVeCRyhc+i8Y9Tgc+kksQVo+HVwDRCfj/tOb5JzdrlgtcOQXcW1p68HZB2vSTL75KY6h48YQFe3n8PSGXNy/O/YdL217iQhdBB9e9iGh7qENn6x2gcSp4lGaBnuXnPHn8OpxprRKF1x/Ss32fJyiPVE6yJZLSDQbrQcMfUBUpTryi5jhWHoLeOjFx5JuBU37VgxISDSHiz7QsJQ69tCoqajDZhHOK50CUdmooqjpGY3AwEC7z1cVFyEINjwD7X+Z/11aRabRxAdBzasTdsSBAwd49tln+fHHH7FYLOc936tXLx599FFmzJjRJteLdnEi0EnF+rKqdg803H20ZB3uWhK3zUUmkxHw7L8wHj5E9uyHiFixHIWu5b05DZVc1ZSXkX/iKHnHjpJ/wk7JVVQsgVExF3XJlSAI5OYtw9f3SlQqjxbPUVxcXO9dkZmZSXl5OQBeXl7o9XoGDhyIXq/H29u7yVkThVzBg0kPkuibyNyNc5n00yTmj55PL5/zJbJlMhn+Tz+FtaKCnMceR+7qhuvwYeKTSidImCge+fvFrMHmd2H966IMZ1AieEaAR5hYpuTi0z6N5GaD2Mhdli4epSfh4A9QlQehg+HGTyB+HKZaGVXfb2xYdeoszri4X49C4YzRYuSlbS/x/fHvmRA9gScHPtl0Ez6vCLhkLox6AtI3iAHH+v+K6lY9LoHEaZg9xmDKqsJrWtM3BiQkmoVCKbqLx18PObvEgGPVs/D3PDHTNugu8Irs7FVKSEiBhqXUiFMP+zdulad2xN29z78p1vlqyT/ZNInb8vJyhyZ95YX54px+9hu8fi0qJ8ZZQ5K7/Ubx5vDll19yzz33UFtrP1g6cOAAt99+O3/88Qcff/wxrq6t2+GWyWQM9XDlh8JyrDYBRTvWLrv7aKkqzkUQhG5dEiTXaAh55x3SJkwk9/EnCHl/AbI2lDR28fCkR/9B9Og/CDi/5Crv+JFzS64iowiMir7oSq7Ky7dTW5tGz9gXm3zO6f6KszMWp/srAgICiI2NJSwsjNDQUNzawA1+RMgIll27jEfWPsKtv93KE8lPMCl20nm/H5lcTtC8l7FWVpD94IOEfbYQbWLiuZMF9IZr34TL/gP7lkLqcvFmprbkzBiVi9gg7RkuHh5n/1sPajufVTabGDSUpUN5xpmAouzUv6vzz4xVqMW5Yq4U+0cCEuqfslpO9dg58tHgjIt7cNBkMiozeGTtI6RXpvPCsBe4IeoGh+faRS6HyFHicfXrYhP6nm9g5R3U2B5ArhqN1j0dBO9ureol0Q0I7gcTPobLnxczfjsWwrYPxNLHwfeK5VXSe1Cik7ioAw3BbMVWZXJYOnW6mdjN5/zdLp2fluqyOiwmK0oHPR4GgwGDwYCHh4f96xQWIJPLcfP2sTsm3WAizlXTJjd1S5cu5bbbbmvy+CVLllBRUcEvv/zSpOvPmDGD8vJyvv/++/rH5s2bxzPPPMPD/3key/hplFos+Krbr/7b3UeDxWyjttKEi679vTvaE3VICMGvv0bW3fdQ/MEH+N53X7tdy27J1ckT5B0/Qv7xow2XXJ0KPAKionFy7l6mb00hN3cpWm04Hh6D7I4xGo1kZ2fXBxXZ2dnn9FeczlaEhITg5NQ+78kg1yC+uOoLXk95nRe3vcg3h79hUuwkxvUYh5v6TDAjU6kIefttMu+YRebd9xD25SI0MTHnT6hxFx2LB9556kVWnhUcnBUkHP9L/H9r3ZlzXf3PBCBOrmeyFOWZYDWdNS7gTIASOerMvz3DxefsBNZWsw2gYWfws8jJWUKuvAfP7VzImsw1BLkG8fXVXxPr1UZN7xp3sbys/3SE/GPUvJeFi2o1ss/eA9+eYmlVnyngJvVrSLQj7oFiCeSIR0RFua3vw+fXQEAf0Y+j941i1lJCogO5qAMNS5n4hdiYh4azTt2gV4bO17l+jHeQ/Z3+06URjno0ygvzcffxdViWkmmso38bZDOOHTvGrFmzmn3eb7/9xrx583jqqadadN2FCxfy+OOPs/KrLxkzfholpvYONE5JEBcbu32gAeA6ciQ+999P8bvvoU1IwHXEiA67tkrtRHDPeIJ7nsnKnV1ylXf8CCk/rsRkqAWZTCy5ioq5YEquzOZyCot+IzLi4XMC7aqqqvqgIiMj45z+Cr1ez5gxY9Dr9QQGBjoUgmhr1Ao1Tw9+mrHhY1l8eDGvp7zO27ve5prIa5gSO6X+Bluu1RL6wftk3HobWXfMImzxN6hDGvG50biLWYWzMgv12GxiNuKfQUhZOpiqxYAjeuy5gYSHvsXeAFaL40Cj2lTNt0e+5ssDW8i3yAl3d+LR5Ee5IeoGXFTtEwwb8nQIlnxcZs+FykvELMeal+Cv/0D05WLQEXMVKLu+B5JEN0XtLPZW9ZsOJ9aIAcf394ilVcmzRIlcV9/OXqXERUL3/eZvA+qlbRvx0GiobArEjAackrh1EGiUlYl9Ao4CjYqCfHR+9ne7TDYbuUYzYdrW3zC/8sorVFdXt/jc2bNnN7uEat26dRgMBp5//nkWLVpEwe6dFAeNbdEamoqb9xkvjUAH5XHdCZ/77sWQuo/cRx8jfOVK1CHBjZ/UTjRYcpWbU5/1OKfkSu0kqlxFifK6gVGxuPn4dpuSq/z87xEEG2r1aHbu3FkfXJz9t63X60lOTkav1+Pj49MlXltyQDLJAckU1hay8uhKVhxdwYqjK0jyS2Jy7GQuD7sctbs7+k8+Jn3aLWTOvIPwr79C6dvCmxC5XGwadw+CsKFt+2IaoD7Q+EePxtGyoyw9vJSfTv5EncVIgrOM/4x6hyHBo9v991K9PR+nSB0qP1fwu0xU9TKUwf6VYtCx7DbQeonma4k3Q2Dfdl2PxEWMTAZRl4pH0VHY9j5sfBM2vAF9bhKzHP7n93FJSLQlF3WgYS0xgEKGwt3+zlJVsfE8xanTOLurUTopqCh0rGxUVlaGWq3G2dl+NqKiMB+/cPuNWzlGMzYgrJVO4BUVFSxZsqTF51dVVfHVV19xzz321bEa4tNPP2Xq1KmoVCqmTp3Kqu+XU3z5mMZPbAVqjRKtm6q+z+ZCQCaXE/zqq6RNmEjO7NmELf4GeTuV4DQXmVyOd0go3iGh9B59GXBuyVXe8aMc276Znb98D3T9kiur1VrvX1Fd8xFVVaF8+OFisZna35/o6Oj6/gp3966t8uLn7Me9ifcyq88s1matZenhpTy54UleS3mNG6Nv5KaYm9Av/JSMqTeTeeddhC36AkUXf01wbumU2WpmVcYqlh5Zyq7CXfhqfZkeP52wqsVE+g4jPuSSdl+PuagWU1oFXlP+UZKl9RR3kpNnQeEhUSZ371Kxjt4/QTRnS7hJbK6XkGgPfGPEnqsx/xJlrLd9JMrkRowSA47osXZLFCUkWsNFHWhYyupQemocmilVFBsI7tlwJuKMxK1j5anT0raOdtIqCguIHmh/BzDTKNYz67WtCzR27tzpsPm7KWzcuLFZgUZlZSUrVqxgy5YtANxyyy28N3w42WXzwL99HXPdfbQXVKABoPDwIOTdd0ifejP5L7xA0ItNb07uaOyVXNUbCx5rqOQqtt7fwyc0rMNKrurq6s7rrzCbzXh4lJLQpwBPz4e45ZarCQkJQaPpnpKlKrmKy8Mu5/KwyzlZfpJlR5ex5PASFu5fyMjgkdw87368HplP1r33of/kY+Ta9lWGay0Wi40qdSmfnPiAX9b/SKmxlIEBA3lj1Btcor+EyrIt7Nk7v8Nc3GtSCpA7K9H2chAw+MXB2Bfh0ufEvpY9X8Gf/xKPmCtExaCoy7qmf4lE98fZC4b/Hwx5QFRy27oAFk8WZZoH3yvKNDtJsuYSbcfFHWiUGh2WTVlMVmorTHZLpwA8/Br30igrK3PYCF5XW4Oxusph6VSGoQ6FDIKdWhdopKWlter8lsyxePFievToQd++YolAYmIiPiGh/P39tzzw5COtXo8j3H2a7nXSndDExxPw73+T99RTaPv2xfOmmzp7SU3GxcOTqAGDiBrQUMnVEfKOHeXghjUINlu7llxVV1efIzObn5+PIAhotVr0ej2jR49Gr9dTWfku5eVBDB16PzLZhWOIFekRyZMDn2R20mx+TfuVJYeXcFf2iwyf6sv9n+0jffYDRCz4AJmq693w2gQbW3K38NnhRWzvtwXnDGeuj7qeSbGT6OHRo35cTge6uAsWG7U7C3BO8kPWiNwuIMqTxl4pHjUloqrXnq9g8RRw8RNLq5JuEQMTCYm2RqE6I2WdtV0MOH57Ala/AP1vg4F3i/46EhKt5KIONLDakCns37DYrALgWDpR5+vMsZQCh5ex2WwOG0Gtp/wrFEr7X+hmQUCBjNaqwZpMpsYHtfEcn376KQcOHEB51s60zWZjx/Il0M6BhkIhq/89Xmh43Dgew969FLzwIpqecWgTenf2klpEgyVXdUYK0k6Qf6zhkqvTQUdAVAwBPRovuRIEgdLS0vqgIjMzk9LSUgA8PDzQ6/X079+fsLAwvL29kZ8qIbBYqjh+4lfCwu6+oIKMs3FWOTMxZiIToiewt2gvS48s5fWKX3l06WZ+m3UNvvNeINIzCi+NV6f2nRgtRnKrc9mQs4FlR5aRWZVJuCaSEScn8cKcB/HyOLcPq85UTHHxX0RFPdkh6zYcKsFWY8ZloH2Jcru4eMPge8Qjb5/Yy7F3MWx5D4KSIHEa9J4g7kZLSLQ1oQPFozwLtn8kllZtWQBx14llVaEDJXlciRZzUQcaCi8NdQ58MNRaJRoXVb3EbUPo/LRUlRmxmK0oVQ3fiHh4eFBQYD8Y0bq5o9JoqSjMtztGr1FjEgQKTGYCW5HViIiIaPG5LZkjNTWVHTt2sHbtWry8znxJfnTgOO9NvZHDhw/Ts2fPVq/JHpUlxgbNFi8U/J9+CuPBg2Q/NJuIlStROhAc6E6onDSE9OxFSM8zjYr/LLna/sMKuyVX3iF6CgoLz/GvqKkRTQj9/f2JiopCr9ej1+sd9lfkF/yEzVZHUODEdn/NnY1MJiPRL5FEv0RKkx9jfcA8ot/6mT8eu52Zl8vRqpwJdg0mxC2EENeQc/4b5BqEVtm6vzObYKOwtpCc6hyyq7LJrs4mpyqH7OpssquyKTIUAWL519jwsbw0/CWc0wNY9fdBXDXnB5r5ed8ik8nb1MXdETXb81Hr3VD5t7LPKLCPeFz+PBz7A3Z/Le40//GU6IuQeItoDCi/MANfiU7EIxTGviCaUe5dLKpVLRwLwf3FgCP+eqmkT6LZXNSBhtJLQ+2OAoeGbu4+Goc1/h5+WhBECVWvwIa/YDw9PTl8+LDdOWQyGR5+/pQX2g9G9KfUpjIMplYFGomJiSgUCqxWa4vn6N+/f5PHfvrppwwcOJCRI0ee87jOyYMeiUl8+umnvP766y1eS2NUFhsIivZot/k7G7laTcjbb5F24wRyH32M0I8+RNaBMqodScMlV9nkHTtC9tHDZKSns/vgQSwaV6zOLiBXIJOBj4cHvXrGEt0zjtDQ0Gb1V+TmLsPbexQaTWB7vawuiZfGixvufp0SXX+ueu4/DI8by6HxfesDgE25m8ipysFkO5Pd9NH61Ace/wxI/Jz9kMvkVJuqzwkgsqqy6v8/tzr3nPl8tb71cwwKHFQ/V5RHFDonMXtx+EQecL7qVFu4uDcHS6mRuuPleE6IbrtJlWpxRznuOqgqEH0Rdn8NX08At0DoO0XMdPi04TUlJEDs0Rh4Jwy4A46vEsuqVt4h9hENvFOUzpWyaxJN5OIONDw1CGYbtmozCreGb94bayau99IoMjgMNAwGA0aj0e5NjrtfgMOMRugptakMg4nBHnaHNUpAQADXXXfdOUZ6zUGlUjFjxoxGx9lsNuRyOV999RVPPPHEuc8JAqVmC2PGXc+i9//Hyy+/jKod6sCtZhvV5XX1MrcXKqqgIILnv0HmrDsp/t//8J09u7OX1O6c7q84feTllyI4uaHR+RLs5YmzTEAoL6Uy/RjVB3dwaDNknFdyFYOTAyW4qqqDVFWl0ifhgw58ZV0L7ylTECoq4c03uU6fhNdtT9c/ZxNsFNUWiRmIU1mH7Kpscqpz2J63nUJDYf1YlVyFVqml0lRZ/5iz0plgt2BCXEMYETKCYNdgQt1CCXEVMyQaZeN/txazDWQg/0dNaUtc3FtDzY58ZGoF2j7t5E3g5g9DHxQbeHN3iaVVOxaKUqUhA0XVql43ih4nEhJthVwuChTEXAEFB8QMx9pXYN1rYqA7+F7wbSPTS4kLlos60DjdCG4pMzoMNArSKht8DsBZp0apklNRaF/J6bR/RllZGYGBDe+Mevj7c3L3TvvXUcjxVyvJMNbZHdNUHn/8cX766acWZTVmzpyJv3/j7raFhYVERUVRXFx83nNlZitWAWY/8igfPvdss9fQVKpKjSCA7gIunTqNy9Ch+M6eTdFbb6FJSMDtkvaX8uwoTvdXnB1YlJSUAKDT6dDr9fTr16/ev0L+D4nGmvIy8o4dqff32P7DckwGA8hkeAeH1kvsBkTF4KsPR34qI5STuxS12g9v7wvnZ9kSvO+6E2t5OQUvv4zCQ4du3DgA5DI5/i7++Lv408+/33nnGS1Gcmty6wOQWkstwa7B9dkOTyfHSnxNwWqxoVDKz5unKS7ubYVgFajZUYBzoi/yBoxd2xSZTCxjCe4PY1+CI7+IQcfP/we/PSlmP5KmQfhISapUom3x7wXXvweXPScGuds/hp2fiQppg++FHpdKfRwSDXJRBxqnHcGtpUbQN7wT5O6jobrMWP+F9k9kMhk6P61DL42mBBo6vwAqC/MRbDZkdr4g9BonMg2tb+YeMmQIzz//PE8//XTjg8+iT58+vPnmmw7HlJWVsWnTJtauXWtXArfIZAbAW92+b7+KU5kod98LP9AA8YbQsG8fuY8/QcSK5ajDwjp7SS3CarVSUFBwTmBx2mDS39+fyMjIekUona5xI0YXD0+ikgcTlTwYOLfk6rS/x8H1Z1Su/CN74B8diRD0LQF+N12wTeBNRSaT4ff4Y1grKsid+xRyN7cmBbIapYZIXSSROvv+QK3FarGh/EfZlD0X9/bCeKQUW6UJl4EdXF6n0ogN4r0nQGWuWFO/5xuxxEoXKsqUJt4MXq3vy5OQqMfFB0Y9DsMeggPfwZb/wVcTwCdWDDj6TBadySUkTnFRBxpyjRK5sxJLif1mb3dfLYIg7o57+DX8x6Pzc3bopeHs7Ixaraa8vNzuGJ1fAFaLheqyUty8G9ZgD9OqOV7b+owGwNy5c6moqOC1115r0vh+/frx3XffoW1EV3/mzJmkpKTwyCOPcP311zc4ptBkRgZ4qdr37VdZZECukOHi0TUM7dobmVxO0CvzSLvpJrJnP0T4ksVd3gcBRBWznJyceqnZ7OxsTCYTCoWC4OBgEhMT0ev1hIaGNvr+awqiypUe7xA9vS+5HDilcnXy+Klm86Pk5/yAX1Atq9/ayHrFbQRExRIYFdOkkqsLEZlMRuDz/8FaWUHOw/+H/pOPcU5O7uxlYbPYkP9jA+i0i3tA4IQOWUNNSj6qYFfUwZ3oPeAeBCMegeFzRKnSPV+JZS7rX4Ow4WLAEX+95I8g0XYoncTyqT6TIWOz2Mfx8//B6udhwO2iOaV7UGevUqILcFEHGiCWT1nKHAQapzw0qoodBBq+Wk7sKmzwOTjV7O3hQVlZmd0xOj9RErGiMN9uoDHay40VBWUcrzUS5dy6vgOZTMarr77KsGHDePzxxzly5EiD41xdXbnrrrt4+eWXcWqCA/V3333X6JjtFTXEuGhQt3Nqv7LEiJuX5rz67QsZhbs7Ie+8S/rkyeQ/9xyBr7zSqZKkDVFTU3Nuf0VeHjabDY1GQ2hoKCNGjCAsLIzAwMB26d1pCJWThpC43oTEiRLBO3buQrAN5Kq7H6r397BXchUYLRoLyi/QJvzTyJRKgt94g6y77ibr3vsIW/QFmvj4xk9sR6wW4Rz5cUEQyMldio/PZTip299l21pRh/FwKR7XR7X7tZqETAb6QeJx5atw6Ccx6PjhPvj1Meg1Xgw6woZKZS4SbYNMBuHDxKM0TZTH3fYRbHpbfL8Nvg+Czy+tlLh4uOgDDaWXRiydsoOrlxMyuYyKYgP2rGt0vlqqSuyXV4FYPuUo0HD38wOgvCC//mbnn1zr68Gzx3NYlFPC89HBdudqDuPGjWPcuHGsWbOG1atXc/LkSaqrq4mIiKBPnz5MnjwZNze3NrkWQLbRxPHaOu4KaaemybOoLDZcNGVTZ6OJjSHwhefJfexxtImJeE6d2mlrEQSBsrKycwKL03077u7uhIWF1WcsfH19z+uv6Ayqa45RUbGT3r3ewd//TMmVzWalNCeb/ONHzy+5cnLCPyKKwOhYAnrEEBgdg5t32xgLdiXkTk6E/O89MqfPIPPOuwj/+ivU4eGdth6L+dzP3MrKPdTUHCU6am6HXL9mZwEypRznxPb/PGs2amfoO1k8yjNhz2LY87UYeHhGiIpVfadIpmwSbYdXBFw5D0bPhd1fwbYPRCPK0MFiWVXPa0WjSomLiov+N6700lCbWWX3eYVCjpuXUyMSt84Ignhj6xlgX3nq2LFjdudQqZ3wDYvgxI5t9aZl/0SjkHNzoDeLcot5IjIAlzbcQR0zZgxjxoxps/nssb60Cg+lgj5u7V96UllswD/84lRh0V13HYY9e8l/eR6auDi0iYkdcl2bzXZOf0VGRkZ9f4Wfnx/h4eGMHDkSvV6Ph4dHh6ypueTmLkOl8sLX99y/Q7lcgU9oGD6hYWdKroxGCtJOlVwdO8KRzRvY8dO3gNgbcrrkKjA6Fv/I6Aui5Erh6kroxx+RMe0WMmfeQdg3X6MKaIFJXRvwz82dnNylaDTBeHkNb/drCzaxCVzbxxe5pot/lXroYfQTMPIxyNwsyuRunA9/vwSRo0RvjrhrQXXxbcxItAMadxhyHwy6G478KpbxLZ8OOj0MuguSbgWtR2evUqKD6OKfju2PwkuDtaIOwWJDZicb4eatbdS0D0SJW0eBRnl5eb3sa0P0vfwqVn/6AVUlxXbLp24N8uZ/mYX8UFDOzUHejl5al8NgtbGtoobLvd1RtnM5kyAIVBYZiB7QuELWhYr/E49jPHCA7IceJuLblSi92/79YjabycnJqXfczsrKwmQyIZfLCQ4Opm/fvvX9Fc7d4CbbZqsjP/87AgNuRC5vvFRQpTm35Aqguqy0PuvRUMnVmaxH9y25Unp5oV/4Kek3TyNz1izCvvyyU8wiz24Gt1iqKCj4mfCwu5HJ2j8zVneiHGupEZfJ3UjeUy6H8OHicfVrcPAHMej4dhY4uUPvG8WgI2SAVFol0XrkijNeMLl7xAzHX/+Bv+dB0i1iIOLdo7NXKdHOXPSBhtJLAwJYy+tQ2pFB1floKMqqtjuHi84JhUruUHnKz88Pq9VKTk4OoaENp6rjho9m/defse+v3xg2+dYGx4RpnbjU253PcoqZGujVrUoztpVXYxZsDPds/4bEuloLJqP1gnYFbwyZWk3wKTO/nDmPoP/0E2TK1v3J19bWnlMGlZubi81mw8nJqb6/Qq/XExQU1GH9FW1JYdGfmM1lBAVNbvEcrp5e56hcnS65yjt+hPxjYgByYO1qBOHckiux2TwWN2+fbvF3rQoMRP/pp2RMm0bW3fcQ9tlC5C6tdMVuJrazSqdOu7gHdpCLe832fJR+zqj1bVda2qE4uYk3e0m3QMmJU6pVi2Hn5+ATI/Zy9JkC7heXWaVEOxGUCOM/EOVxUz6FHZ+K/RwxV4rZj/ARUnB7gSIFGp6nvDRKjXYDDXdfLSd2F9mdQyaXofPVOvTSCAsLw8PDg5SUFLuBhlrrTPzIMexb/QeDJ0xBoWz4Rm16kDe3pqaRUlHDQI/uoSJitQlsragm2d0Fj3ZWmwLqS910F2GPxtmo/P0Jnj+fzJkzKXr7bfweeaTJ5wqCQHl5+TmBRVGR+Hfg5uZGWFgYffr0Qa/X4+fn1yX6K1pLbu5SPHTJuLi03S7b2SVXCZeMBRopufL0EoOOU1mPgB7RqLVdMxvkFBlB6Mcfkzl9OtkPPkjIBx8gVzfsSdQeWM9SncrNXdphLu7WahOGgyXororoFkFho3j3gDHPiLX1aetEmdy1r4gKQj0uFb05Yq8WlYYkJFqDWwCMeRpGzBH7N7a+D19cB/69xT6O3hNF6WaJC4aLPtBQeDiBXAw07OHuo6Wu1kJdrRkn54Zv/j39nSl00Oshl8tJTk5mzZo1XHHFFbjY2fnre/nV7PnjF45t30LPoSMbHDPG253erloePpzFHwNicFN2/dKLdWVVWGwCl3t3TM9EUWYVyEQflIsdl0ED8Zszh8LXX0fTpw/ul1/e4DibzUZhYWF9b0VmZiZVVeJ72tfXF71ez/Dhw+v7Ky6IG6yzqK3NoKxsC/Fxr7f7teyVXIlZD7HRfNv3yzEbzy25Om0s2JVKrrS9exGyYAFZd95J7mOPEzz/DWQdtLbTzeBVVQeoqtrfYS7utadUBp2T/Drkeh2GXAE9xoiHoRwOfCsGHctngMYDEm4Sg47ARGn3WaJ1qLTQ7zaxXyNtHWxZAD/cD389BwPugOQ7wPUC+/u6SLnoAw2ZQo7Co2kSt5XFRnz1DQcaUQP8+ePj/RRnV+MT0nCWITExkTVr1rB7926GD2+4WdEnNIyQ+N7s/fNXu4GGQibj417hjN1xhIcPZ/JJr/AufdO3pqSCew9m8ki4PyHajtkRO7gxF328t93A8GLDa+btGPbuJe/JuThFReEUEYHZbCY3N/ec/oq6ujrkcjlBQUEkJCQQFhbWbforWktu3jKUSjf8/K7qlOu7enoRnTyE6OQhQOMlVwGR0ackdju/5Mpl0ECC35xP9uyHyH/uPwQ8/58OWYvVIqBUyTvUxV0QBGpS8tH29kHhcgF/vmg9YMBM8Sg6IipW7V0CKR+DX69TpVWTwbULKm5JdB9kMogcLR7Fx2Hb+7D5HVGsIOEmGHQPBPbp7FVKtAKZIAhCZy+isyn6JBW5Von3tLgGnzdUm1j46EYuvyOemOSG1VWsVhuL5m4mItGX0Tfbbw787rvvyMjIYPbs2XZLTY5s2cDPb73K9Nffw0cfbneuX4vKmbk/neejgrgrtGtG/hmGOsbuOMpgDxc+6x2BvANuPgrSK1nxyg6uua8P4X3aX0u/u1BdVETWlKmYbTZ2TrqJ7OJirFYrarWa0NBQwsLC6vsr1B1Y/tIVsNnMbNo8HD/fq4iNfa6zl2MXs/G0seAZV/PqElEuuL7kKiqWmEFD8QxsGwns5lD+7XfkPfUU/v96Bq9p09r9et+/uRtndyvqqDsIDbmVHj0ebfdr1p2soOijffjcmYCmh0e7X69LYbXAiTWiRO6R30CwQfQVYtARcwUoLuDAS6LjMJTBrkWiH0dltti/Mfg+8T0m7xqZXImmc9FnNEDs0zDl2m/21rqq8Qtz48jWAruBhkIhJ35EEHv+ymLo+B6otQ3/aJOTk9m7dy/Hjx8nJiamwTFRyYNx8fBkz6rfuOyOe+2u62pfD+4J9eX5E7kkujl3uX4No9XGnQfS0SkVvN1T3yFBBsD+ddm4eWnQ9+5eqlxtzdn9FRkZGRQVFeHeJ4HLV/1Fz9VriH/0EfRhYfj7+18Q/RWtobhkDSZTcauawDsClUZDSHxvQuLPKrkqLSHvxNEzJVffLWPj4i8I79uPvmOvIbLfAOQd9OXsceN4jIcOUfDKq2gTEtD2ad+dSJvFhsJ9M1ZrNUFBk9r1WqepSclH6a3BKVLXIdfrUiiUEDNWPGpLIXWFGHQsnQbOPmKGI/FmCGjYC0pCokloPWHYQzD4fjj0o9jHsWSq6P8y6B6xfM+pm4owXIRIgQan3MFTixEEwW66v/eoYNZ8eZiKolp0vg2XkfQaHsTO3zI4si2fhNEhDY4JDg4mMDCQlJQUu4GGQqmiz2VXsf2H5SSMGYt/hP3G1Kcjg9hdWctdBzJYlRyDr7rr7Cg9ezyHIzVGfuoX3SEN4ADGajPHdhSSfE34ReUIbrPZKCoqqi+DyszMpLKyEgAfHx/0ej3Dhg1Dr9ejuPxycuc8gv/Ro3gNHtzJK+8a5OYuxd2tD25uDWc1uzKuXt5Ee50puTKb6ji6ZSN7/vyFH15/ATcfX/pedhW9L7kcF4/2l6D1f+xRDPv2kv3ww0SsXNmusrcWsw3cVuHlOQytVt9u1zmNrdZMbWox7pfpu3S5aofg7CV6Igy6C/L3i70c+5bC1v9BYF9RJjdhojhOQqIlKJSi5HLvGyF7B2xdAH88Jfq/9LsNBt4FnmGdvUqJRpBKpwDjiXKKP051mAo3m6x88eQm4ocFMXRClN25fvswlbL8WqY+O9DuF9GuXbv48ccfmT17Nl5eDX8IW0wmFv/rMeoMNdwy7y00LvazFfl1Zi5LOYKbUs4nvSPo5dq5Sku1VhtPHc1mSX4p/40N5ZYO9PvYvSqTrT+cYPrLw3B2v3DLfywWCzk5OfVBRVZWFkajEblcTmBgYH0ZVGhoaIPCAwWvvErpV18R9sXnOPfv3wmvoOtgNOayafNIesa+SHDwlM5eTpuSf+IYe1f9yuGN67DZbMQMHkbfsVcTHBvfrjfK5txc0m6cgCYhgdAPP0DWThmzZa+vxLv/46dc3K9pl2ucTfWmHMp/SSNw7kAUbhfu50uLsZjg2J9i0HHsD5DJIfYqMejoMUZyhZZoPRU5Yp/Qjs+grlJ0Gx98H+gHSwIFXRQp0EBs7iuYvxNVgIvdPg2ATSuOcWhLHjPmDUOpbrgUIetwKT++tYcb5iQRHNPwTp7JZGL+/Pn079+fy+0oAAGUF+Tz1dyHCIlL4PpHn3Z4Y5BWW8esA2mcqK3jlZgQpgR2TtlQWm0dd+xPI81Qx7wOXodgE/jq31sJiHDn8pm9Ouy6HYHBYCArK6s+sMjJyTmnv0Kv16PX6wkODm5Sf4VgNpNx++2YMjKIWLkSlV/X7PHpCE6mvUNm5scMH7YFpbJrlR+2FYbqKg6uW82eP3+hPD8PH304iWOvJm746HaTzq3esJGsu+7C58EH8L3vvna5xg9f3I9r8BYuGbOlSQaLrUEQBArf3oXSW4v3rfHteq0LguoiSF0mGgIWHgDXAOg7GRKngW83MjmU6JqYakRxgq3vQ8kxCEoSA474G0ApbQJ0JaRA4xT1O1VPJqNwb/gLq7ywlq+f3cqlM+LoObhhrXZBEPjmuW34hLhyxZ3261R///139u7dy5w5cxwamx3fsY0fXn+BkdNuJ3ncBIevwWC18fSxbL7JK2VaoBcvRoegVXRc7f2vReU8dCgTX7WKT3qHE9/BmZXMAyX89O5ebnysP4E9unf9dEVFxTn9FYWFopymq6trfVCh1+vx9/dH0UIpUUtREWk3TkAVpifss8+QdUODvdYiCFY2bR6Ft9cI4uLmdfZy2h3BZiNj/172/vkLJ3Zsx1mn49qHnjin56MtKXr3PYoXLED/6Se4DB3apnPbbHX89edANFzJyCtfbdO5G6Ius5KiBXvxub0XmlipHKjJCALk7TlVWrUMjOUQPECss+91o6huJSHRUmw2OLFaLKs6sUYMaAfOgv4zweXi7tPsKkiBxilsRgt5L23DbVQI7pfZr/n76Z091BksTHxigN0xe9dksXnFcW6bNxQXXcNBS3FxMe+99x5XXnklgxupk1//zefs+OlbJv3r5SbdECzOK2Hu0WyinDV80juc8HaWlDXbBF46mcsHWUVc66vjzZ76TvH2+GXBPqpKjUx+Orlb1U/bbDaKi4vP6a+oqKgAwNvbuz6oCAsLw9PTs01fW+3OnWRMn4HXtGn4z32yzebtLhSXrGXv3jsYMOBbdO59O3s5HUplUSG/LZhPzuGDjJg6nQHX3djmfzeC1UrWXXdjPHiQiO++RRXQsJhGS8gv+IkDBx7GtW4hg64a1Wbz2qN0xVHqjpcT8Hgysouo/6tNsdTBkV/FoOP4X6BQi6UvSdMgYpSkKCTROgoPiRmOfUvF/+8zWTQB9Ot+vXcXElKgcRZl3x7DcLiUwCeSkdnJBKTtLeLX91O5ae4A/MIaNp+rqzXz+ZOb6HdFGMnXRNi93i+//MKuXbuYOXMmwcH2pShtVivLX3yastwcbn31nSY1dB6oNjBrfxo5RjPX+XkwI9iHAe7ObXojUWQy83VuCV/mllBgMvNsjyDuDPHtlJv8yhIDXz2zhVE3x9JrRMfLejYHi8VCbm7uOY7bRqMRmUxGUFBQfWARGhqKq2v7l/KULlpEwcvzCH5zPu5XdY6HRGexL/VeDIZMBib/3CWDU0EQsBQVYcnPR7Ba6x8/Z63/XLfd585/3Gazsu3vP9m9eS0RsfGMuX4SmrNLqezNZW/e8y4jw1pRQfbD/4fSx4egV+YhUyodr/mcCc6d6+zx+3IfIT+rGn/hFfoO8TrnucbmPe9X3cjrtJlsFH98EucBXrgO9qax19zUee0vqBlzOXzOzmtu6vl2/n3ealvymqvyYd8S2P01stLj4B4CfaeIqlXe9gVQJCQapaYEdn4G2z+G6nyxP2jwfaLL/UWusNgZSIHGWZhyqyl8Zzfet8Sh7d2w/4LNJvDlM5sJjfNizK32o+S/vzpMxv4SbntpCHI7QYvFYmHhwoXU1NRw9913OzRFqykv48snZuMVFMLEZ15skitwlcXKl7klfJFTTIbRRC9XDTOCfbjRzxOXFmYcBEFgW0UNn+cU80tRBQoZjPf35M4Q3w4vlTqbrd+fIHVtNtNfGYZa07UaDo1G43n9FRaLBZVKdU5/RUhISKf4VwiCQO4jj1K1di0Ry5biFGVf7OBCoq6uiE2bhxMd/TShIbd12jpstbWYsrIxZ2dhzs4W/52VhSknG3N2DoLRvploW1Hg7sxevR9qi42kjHx0BlO7X7M1WHwECp83k7flNvzW5BOas7Zdr6cKG4FT4jRq/ngSwVjerteSOIuWBFf2AqLODq7+cX27a2tRcHn2P1sZnNqbqyXrPC8eb93PzG5Ab29egLoKMfCwGEDpBM7eonzu2dmzJvz85M7OqEJCUIWGoA4JQRUSijo0BIVP5xmldhekQOMfFL6/F5lKju+sBLtjdvyWzs5f05n+yjA0dpxhi7KqWPZSClfdnUBkkn3n1PLycj788ENCQkKYOnWqQz+D7IP7WfbCU0QkDeCq++agaeJut00QWFtaxec5xawqqcRVIedGf08S3JwJ06jRa9UEO6lR/qMcQBAESs1WMox1ZBpMnDTU8WNhOYdrjERqnZgR7M2kAK8Ok661h9Vs44unNhE1wJ+RkxuWDO5IKisr63srMjMzKSgoAMDFxeWc/oqAgIAW91e0NbaaGtKnTEGwWAlfvgxFB2RSOpv09A9IS3+H4cO2oFJ1bE+PIAjUbttO2eLFVP31F5zKVsg0GtShIaiCQ1CFhqIOCUYVGooqMFDMBJw698xE58189kUa/ffZc1WUlfDn8q8pLSpgxFXXE5+Y3Pi8TZwbASp//52yRYvweWg2LoMGtXidCJBpWkyB+S8OrnydwQNdiY1VnXmyOXP945RzX9uZf1dtFJCpwTX5n2P+uTZ7v5um/fyaNNd5X9nN//nZu36T3j+O5rN7ThNfs8UEefsgaysUHRVLq4L6QshA8Io668avKa+zia+5Ca+/ye+Zpvwsz1tnM+dytLamvmfszG13rpass7Wv2cH7vEU/v8p8KEiFsnTxfeXbE/x6Iaid7Zx/7tVtVVX1mz/WkpL6x2UaDaqQYNQhoWh698Zj4oQ2LRG9EJACjX9Qu7uQ0qVH8J/TH5VfwxmG2koTX8zdxNAbo+h7aajduVa+tgOFUs71/5fkMOI9duwYX3/9NWPGjGHkyJEO13dyVwq/vvdfNC6uXPd/c/GPbN7uc6ahjq9yS/i+sJxsownbqccVMgh2UhOmVeOikJNpMJFhNFFjtdWf66FUMMTDlduDfRju6dphBnyNcWRrHn99foip/x6EV+D5Uq7tiSAIFBUVnVMGVV5eDoCXl1d9b4Ver8fLy6tL73zUpaWRPvEmXIYNI/jtt7r0WluLINjYsvVSdLp+9Ip/o8Oua62qouL7HyhbvBjTyZOoo3rgOWkSmoQE1CGdvztmMZlY8/mHpK7+g16jL+PSmfegctK0ydyCIJAzZw416zcQvmI5ThH2y0odcdrF3dfnKla/NZJLp8fRc0jD4hxtQX2m+9Z4tL2k5tIOozxLVBXa8zWUpYFHmFhW1Xeq5J0g0XLK0sWSql2LROWqXjeIZVUh9vtu/4mtpgZTdg7mnFPZ51NZ6NqUFGx1dbiNuQTPqVNxHjLkgv4ebSpSoPEPBIuNvHnbcE70w+M6+3Wif356gMKMSqY9N9huY2D6vmJ+WbCPEZOj6XOJ/YAEYM2aNWzYsIFbb72VyMhIh2MrCvP5cf48SrIzGXP73SSMuaJFb2aTzUaO0Vyfscgwmsg0mKixWgnVqAnTOhGmVaPXiIeukzMXDVFZYmDZyykERXlw9b3t60IMYrlbXl7eOYGFwWBAJpMRGBh4TsaiI/or2prKVavIeXA2fo89hvcdMzt7Oe1Gaelmdu+5lX79luDpkdz4Ca3EeOgQZd8spuLnnxHMZtwuv0z8IkrumsIFB9at5q9PFuAZEMh1c+biGdg2fU/W6hrSb7oJmVJJ+LKlyLXNL7csLPqD1NT76Nf3B755upCxd/QiOtm/TdbXEGU/HMewv4TAJwciU3S939UFjyBA5hZRJvfAd2CugYiRokxu3DhQt488s8QFTl2VKEqw9X0xkA0ZKDaOx41rsd+LtbqGyp9+pOybxdQdO4Y6PBzPqVPQjR+Pwr3hnt6LASnQaICK39Oo3ppH4FODkNvxy8g9Xs53/93FuIcSCY2zL3W4cdkxUtdlM/6RfgRE2i/PsNlsfPnllxQWFnL33Xfj3sib0mIysXbRx+xd9RvxI8dw2az72mznsbtgNdv49r87MVSZmfR0st0yttZgNBrJzs6uL4U6u78iJCTknP4KJ6f2VffqKArfeIOSTxeiX7gQl8GDGj+hG7J//0NUVR9i8KA/2vVGv2b7dormv4lhzx6U/v54TJ6Ex8SJ3cK3pCgznZ/mv4zJYGiyCEVTMB49SvrkKXjceCMB/3qm2efv2TsTs6mM3nFLWfjoxkbLU1uDzWQl7+VtuA4OQndleLtcQ6IZ1FXDoR/FoCNjI6jdoPd4MegIHSQZtkk0H5sVjv4hyuOmbxBFCQbeCf2ni70cLUAQBAw7d1L2zWIqV61CplCgu+5aPKdORRN/8XnwSIFGA1hKjeS/noLn+GhcBjZcaycIAktf3I7O15mr7rHfz2G12Ph+/i6qy+qY9HQyWlf7zb7V1dV8+OGHeHp6Mn369CbV7x9cv4ZVH/8Pj4BArvu/uXgFdW3FpbZk/eIjHNiUy4TH+ttVAGsuVVVV58jMFhQUIAgCzs7O58jMdqX+irZGsFjInHUndceOEfHtSlT+7bdb3BmYTKVs3DSMHj0eIUw/q12uIdhslHz0MUXvvIM2IQGvO2biNmZMfZ9Fd6ElIhRNoWjBAko++pjodWtR6JreH3O2i7vOeTxfzN3ENff3ITyhYfGO1lKzs4Cy5UcJeGwASu/OE7uQaIDSk6dKq76BiizwjjpTWuUe1Nmrk+iO5O2DbR9A6nKQK8X306B7waflAimWoiLKV66kbOkyLHl5eM+6A9+HH+523wWtQQo07FD8+QGsFXX4zbbfX7F/fQ7rFx/htpeH4uppP5tQXWZk6Usp+OnduOaBvsgdaLBnZmby+eefM3jwYMaOHdu0tWam8+P8edSUlzJs0i30Gn0ZTs4d26vQ0RxNyWfVpwcZNTWG3qNCWjSHIAgUFxefUwZVVlYGgKenZ31vhV6vx9vbu0uWuLQXlpIS0cwvMJCwRV8g6wQ1rPYiM3Mhx0+8xvBhm1Cr277m3lpRQe4TT1K9di3e996D7wMPIOvGQWnWwVSWv/A0yeMmMGLq9DaZ01JUxLFLxuD/2KN4TW/6nCdPvk1m1icMH7aFmjIFX/1rC9c/nEhIz/Yx0Cv8YC8ypWNxEIlOxmaD9PViwHHwR7DWQeQlojdH7DWgurgy/RJtQFUB7FgIKZ9AbTFEXyGWVUWObnHWTLBYKP1iEYXz5+OclETQ/De6RWa7LZACDTsYjpRS8tkBfO/ti5Od3XKT0cKipzYTEuvJFXf1dngjmnWwlB/f3cPAayMcemsAbNmyhT/++INLLrmEESNGOFSiql+LoZY1n33IwQ1/o1SpiRsxmsSx1+Ab1rKGy65MaW4Ny1/dQWRfHy67Pb7JAYDVaj2vv6K2thaZTEZAQMA5/RVubm7t/Cq6PoY9e0i/9TY8J01qUYlLV0QQBLZuuxJX1xgSer/b5vMbUveT8/DDWKurCX7tVVxHtb+RXEew/YcVbPjmc254/Fl69B/YJnPmzJmD8cBBIn/7FVkTPuP+6eJemlfD4v9s48ZH+xEY5dEmazobc2EtBfN34jW1J85926c0S6KNMVaIfRx7voGsbaDRQe+JYtAR1E8qrZJoHmYj7F8pllUV7Ae/eDHgSLgJVC3LcNbu3EnOw/+HIAgEv/EGLoPa5vO0KyMFGnYQbAL5/92BU5g7XpNj7Y47uaeI3z5IZdjEKBIv0zucM+WXNLb/nMZ1D/ZFH29/J1UQBNauXcu6deuIjo5m/PjxDj02zqaqtJjU1X+wb/Uf1JSVEhQbT+IV1xA9cChKVdv3MHQ0JqOFFa/sAJmMm54cgMrJ/k5xXV0d2dnZ9aVQ2dnZWCwWlErlOf0VoaGhF0x/RVtTtngx+f95nqDXX0N33XWdvZxWU16+g527JpOY+AXeXsPbbF5BEChfuoyCl17CKTaW4LfeQh3S8jLGGnMN2VXZ5FTnkF2VTbGhGB+tD8FuwYS4hhDiFoKLquOyloIg8MN/XyT70H5ufeVtdH6tl2+s3bGDjFtuRb/wU1yGDm10fHHx3+zdN6vexf20hLgj89TWUP7zSWp3FRD41CBkSsnkq9tRfExUrNq7BKrywDdOLIXpMxncLqxyUIl2RhDE/o0tC+Do7+DsBQPugOQ7wK35n4WW4mJyHnmU2pQUfB9+GO9ZdzRps6W7IgUaDqhal03Fn+kEzh2IwkFvxaaVx9m3Oosb5iQ53FkTbAI/v7eXwowqJj2djJuX45TusWPH+Pbbb1Gr1UyaNMmhe/g/sVosnNixlT1//krWgX046zxIGDOWhDFXoPPrnh+ygiCwauFB0vYVM2nuADwDzr3RqqqqOidbkZ+fjyAIaLXac2RmAwICUF5E9ZGtQRAE8p6cS+UffxC+dAmaWPtBd3fg4MHHKCtPYeiQNchkbfPBbqutJf8//6Hihx/xmDoF/7lzkTej1EwQBPYX72flsZUcLTtKTnUOpcbS+ue1Si0+Wh+KDcUYLIb6xz2dPAlxCyHGM4Ybo28kwSehXcv7jDXVfPXkQzi5uDL1+ddRtrKcThAE0sZdjzo8jJB3G88u7dt3DwZjVr2Le/7JCla+tpMp/xqId3DbKrwJFht5L2/DuZ8/Htc6VgGU6OLYrHDib9jzFRz+Rfz/6LFi0BFzJSgvnLJQiQ6g5ARs+xB2fwVWE/SeIGY5ghKbNY1gtVL07ruUfPAhrpdcQtAr85rVr9adkAINB1hrzOTN24b7ZWG4j7YvT2u12vjhzd1UFhmY9PRAnN3tf3AZqk0seykFFw8nxj/SD0UjO2Xl5eUsX76c/Px8rrzySgYMGNDsm4mS7Cz2rvqVA+tWYzLU4qMPJzJpABH9kgmK7tlmDZ7tTerabNYvOcrYO3oRNcCPkpKScwKL0lLx5szT0/OcMigfybmzVdgMBtKnTMVmNBCxfHm3lekzmyvZuGkI4eH3ERF+f5vMKVgsZN4+E8P+/QQ+/59mZX0MFgO/p/3OkiNLOFhykCCXIAYGDiTYNZgQt5D6zIW3RuwPEgSBEmMJ2VXZZFdnk1OVQ3Z1NtvztpNbk0u8dzxTYqdwZcSVaJXt07hckHaCxf96lF6jLuXyOx9o9XxlixeT/8KLRK1Z7dDkSnRxH0Z09DP1Lu45R8v4fv5upv1nMB7+bStxWru3iNLFhx36KUl0Q2pLxVKYPV9D7m7RJTphkhh0BLa/PLrEBYShHHZ/Cds+gopMCBsmBhyxV5/rOt4IVWvXkvvEkyhcXdEv/BR12IXnESMFGo1QuuwIdcfL8X+4H3Jn+6VHNeV1LH05Be8gF66bneiw4Ts/rYLv/ruL3qOCGTGpcSdri8XCn3/+yfbt20lISODaa69tUamPyWjg5K4U0nalkLZnJ4aqSjQuroT17Udkv2TC+/bD2b1rRtS5J8r4/o3d+MQoEALzyczMpKamBuC8/orGpIElmo8pM5O0CRNxHjCAkP+91y3TvNnZX3P02H8YNnQDTk5tk9UreP11Sj//grAvPsd5QNMMnzIqM1h6ZCnfH/+ealM1w4KHMSV2CsODh6NoxhfUaaw2K5tyN7Hk8BI25mzEVe3KDVE3MClmEuG68GbP1xj7Vv/Bqo/e5ar75xA/ckyr5rJW13B85Ei8ZkzHd/Zsu+MacnHPPFjCT+/s5baXhzaaHW4uRZ+kIlhs+N3Tt03nlehCFBwUA459S6GmCAISIPEWsf7eRTJmlGgiVgsc/ln048jaKhpLDroHkm4BTdPuRUzZOWTdcQcyjYbwJYtb5C/UlZECjUawlBopeHc3TuHueN/muPE4+0gZP761m/5XhTNonON0+76/s9mw9ChjZ/UiekDTbnpSU1P58ccf8fDwYNKkSfj6trxB0WazUnDiOCd3p3ByVwqFaSdAJiMwOpbIpGQikgbgFx7ZaZmAuro6cnJyyMjIIONENlW7fbDK66j2O0BwSFB9KVRISAgajaQq0hFU/f032ffeh+/DD+Nzz92dvZxms337OJw0gfTt82GbzFf1119kP/Agfk88gfftMxodbxNsfLTvI97f+z7uanfGR4/nppibCHVzbObZHLKqslh+dDnfHfuOiroK7k28l7v73I28jcrEQCx5+uP9tziyZSPTXnoDH314q+bLf/55KletInr16gbVzey5uKftK+bXBfu4/bXhDrPIzcVSYiD/9R143hSDS//uWWYq0QysZjj+l1gKc/R3QAaxV4pBR9RlLTZvk7gIydkJWz+AA9+CUguD7obRT4Ki8f5Y49GjpE+ajPtVVxH48ksXVBWGFGg0AcOhEkq+OIjuqnDcRjm+Kdj5ezpbvz/JtQ/0Jay344bvVZ8eID21hCvv6o2+V9N2UIqKili6dCkVFRWMGzeOhIS2kV2sLi0hbc9O0nbvIH3fbsxGA66eXkScKrEKS0hErWm/KLu6uvqcMqi8vDyxv0LthkdFLwSjmkvuDKdHT73UX9GJFL3zDsUffEjoxx/hOmxYZy+nyVRWppKy4wb69vkYH5/W7cLDmQyPy+DBBL/zdqNfCuXGcp7c+CSbczZzT997uCPhDpwU7SdAUGetY2HqQt7f+z5Dg4Yyb8Q8PDVtY7gHYK4z8s3Tj6BxdWPyc6+0ai7j0aOkjbue4Dfn437VVec9b8/F/fjOQv74eD+z5o/AyUG2ublU/J5O9dZch4atEhcoNcWih8Lur6EgFVz8oO9kMejw69nZq5PoLlTmin0cW96D4P5w0+dN8nap+OEHcp94ksAXX8Bj4sT2X2cHIQUaTaTi93Sq1mfhOysBp0gPu+MEm8Cv7+8j72QFk55Kxt2ByZPJaOGPj/eTebCU5KvDGXBNhMOSq9PU1dXx888/k5qaSnBwMMnJyfTq1QtVG6lKWS1msg8dIG13Cid37aAsLweFUklIfAIRiQOI7DcAz8CWK+oIgkBpaWl9UJGRkVHfX+Hh4VFfAuWMD9tXZGOzClx5dwJB7SBhKdE8BKuVrLvuxnjggGjmF9Q9jLEOH36G4pK/GTpkHXJ56wJVm9FI+tSbsdXWELFiBYpGpJBTi1KZs24ORouRV0e8ytDgxhWW2orNOZt5YsMTaJQa3hj1Bn18264O/ciWjfz81itMf/29Vmc1Mm65FWQywr5cdN5z9lzcj2zL56/PDnL3O6NQtlFAIFht5L2yHW1vHzyvb7lJl8QFQN5eUSZ33zIwlIryuEnTxObfFjpGS1xkZG2H5TPAUgcTPoEelzR6St6/n6Piu+8IX7L4gnERlwKNJiJYBYo/TcVcVIv/g/1QOEjVG2vMLHs5Ba2rihsf7Y9CZb9sQbAJ7Pw9nW0/pREa58XlM+MduofXnycIHD16lJSUFI4fP45WqyUpKYkBAwbg5dW25lVl+bmk7d7ByV0pZB9MxWqx4BkYRERSMpFJyYTE90KhtB/kWK1WCgoK6oOKs/sr/P39z+mv0Ol0CILAvjXZbF55HP8Id8bO6o2rpyQ/21WwlJWRPmEiCi8vwr7+CnkXlwa2WGrYuGkooaEz6BH5f62eL/eZZ6j86WdRhaun/V1OQRBYcmQJr6W8Rrx3PG+MeoMAl9bLwjaX/Jp8Hln3CAdLDvLYgMeY2nNqm6TlrRYLH99/O1EDh3LZHfe2aq7KX38lZ84jRPz4A5qYM31rjlzcD27K5e8vD3PfgkuQNWGDpikYDhRT8uUh/GYnoQ5qWyUriW6KpU4sqdrzDRxbJTpG97xGDDoiL2lW46/ERUhNMaycBSfXwiVPwYhHwUGPo62ujoypN2OtqiJi5YpuK75yNlKg0QysVSYK3tmN0keL76wEZAr7X26FGZWsfH0n8cOCGDW1cUnQrEOl/PnpAZQqOVfc2ZuAyKY3ZZeUlLBjxw52796N0WgkKiqK5ORkoqOjm2T21xxMRgOZqXs5uTuFtN07qC4tQaXREpaQSETSACKTBqB2dSM7O7s+Y5GdnY3JZEKhUBAcHHxOf4X2H01PJoOFNV8e4sSuIhIvC2Xw+B4oFN2v8fhCx5C6n4xp09DdcAOBz/+ns5fjkNzc5Rw6PJehQ9ah1bY8EwdQvvJb8p5+msCXX8bjxvEOx87fMZ/PDnzGLXG3MKf/HFRNqNNtL8xWM/N3zuerQ18xPX46jyY/2ibzblr2NTt/+Z57PvgCtbbl6kyCycSxMZfiPvZyAp59tv5xRy7uqWuz2bj8GPf+r/FdwqZS/PkBrNUm/B9IarM5JS4gqvLF5vHdX0PxEXALgr5TIHEa+EgZMAk72Kyw7jVY9ypEXQqTFoHavg+SKTubtBsn4JycTMh773b7fg0p0GgmdWkVFH28D7cRIeiucuy6vX99Duu+OcLlM+OJGdj4TmZ1mZE/Pj5AYXolQydG0eeSkGa9wcxmM/v37yclJYXc3Fx0Oh0DBgwgKSkJV9e2350TBIGijDQOp2zl8L59FFdUYNG6YNO4gEyGk1qNPiys3r8iKCjIYX9FSU41v32YiqHSxJjpcfRI8mvzNUu0HWXLl5P/r2cJfOklPCbc2NnLsUvKjokola4kJX7eqnlM2TmcvOYa3K+7lqAXX3Q49s/0P3lk3SM8OuBRpvea3qrrtiVfHvyS11Je47+j/ssV4Ve0er6qkmI+fmAmY26/h8SxV7dqrsK336bsi0VErV+PwtWlURf3PX9lsv2nNO56u23c1y0VdeS/sh2P8VG4DgxskzklLlAEAXJ2iapV+1eIjuShg0WZ3F7jm6w2JHGRcXw1LL1VzIjd+JFDp/qqNX+Tfd99+D32KN533NGBi2x7pECjBVStz6bi1zS8b4tH24jD91+fH+Tk7iJuejIZr6DGnXytVhtbvj3B3tVZRPX345Jbe6LWNL+mPCcnh5SUFPbv34/NZkOv1+Pl5YWnpyceHh54enri6emJs7Nzk4IZs9lMeXk5ZWVl5xzFxcWUlJQA4O7mhqeLFirLqTxxGHN5Kc5u7oQn9icyaQDhffujsRPwHN6Sx7pvjqDzc+bKu3q3uS6+RPuQ+8wzVP74E2GLv0Hbq1dnL+c8qquPsG371ST0/h9+fle2aq7C//6XsmXLiV77N3Jn++/P9Ip0pvwiytW+PvL1LrUbJQgCj69/nPXZ61ly7RIidI43S5rCj2+8TGluNtP/+79WvVZzXh7HL72MgH89g+fUqfUu7kmJi/DyOl94YOfv6exZlcUdb4xozfLrqfwrg6r12QQ+PQi5kyQ4IdFEzEZR3nTPN3BiDSg1EH+9GHSEj3BYJiNxEZK6AlbeAdfMF53FHVAwbx7ly1cQtX4dinbYLO4opECjBQiCQMmXh6g7WY7/g0koHTR8m+usrHh1BzarwHUP9sXdp2nKTSd2FbJ60SFcdE5ceVfvFjvf1tbWsnfvXrKysigrK6O8vByD4Yy7sFqtrg86TgcgarX6vKCiurq6/hyFQlE/1svLi5CQEPR6PR4eHvVjbFYreceOiCVWu1IoykxHJpcTFBMnllj1S8YnNAyrxcaGpcc4uDGXnkMDGTUlps0aOyXaH1tdHRk3T8NaXi7Wk571HugKHDn6PAUFPzN82Ebk8pZLoNrq6jg+ajS666/Hf+6TdscZLAZu/uVmLDYLS65dgouq8c2FjqbGXMOUn6eglCv5+uqvcVa1LqjPSN3DihefYfK/XyEkvner5sq8+24EYx1hX3zeqIv79p9OcnBjLjNeHd6qa4LYK5f/WgqaaE88J0S3ej6Ji5SKHNi7WAw6Sk+Ahx763gyJU8EzvLNXJ9FV+PUx2Pk5zPwDgvvZHWYuKOD4mEvxf/opvG6+uePW18ZIgUYLsRksFLy3G7mTAr97E5E5aPguL6jlx3f2YDJYuOz2eMITfJp0jfKCWn7/KJWKIgOjp/UkdlDbNJIaDIYGsxOnAxGbzYarq2t9APLPLIibm1uzez8qi4tI37OTk7tTyEjdg6WuDlfvCBSaqzDXaRg+qQcJoy48R8yLAVN2DukTJqDp24fQDz7oMmZ+VmsdGzcNIThoMlFRT7RqrtOyg5G//YpTRMNZAEEQeGbTM6zKWMXXV39NtGfXvWE9Xnacm3+9mcv0l/HS8NZptguCwGdz7sUvLIJrH27dz7lw/ptU/PwT4X9836iL+5bvTnB8ZwG3vth6FS/jkVKKPzuA3/2JqEMdq4hJSDSKIEDWNtGb48B3YKoWsxuJ0yB+nMP6fImLAEsdfHYVVBfB3evA2b6AT/bshzClnSTixx+7VHa8OUiBRisw5VZTuGAvLv388LzR8U2FscbM6s8Pkp5aQv+rwhh4XWSTpGzNJivrvznC4a359BwcQL8rw/AMaL8PKZvNhtVqbTOp3Iaoraxl+497OLSlBpu1lrrK71HIKwjtlVCf7dD5dbw6j0TLqd6wkay77sLn/vvxfaDhG8OOprDoD1JT72PI4L9wdm5diVD65CnIXVzQL/zU7pjvjn3Hs5uf5eXhL3Ndj+tadb2O4OeTPzN3w1yeG/IcE2ImtGquXb/+wLqvFnLXgs9x8Wi59GfZ8uXkP/tvXH99gmPpLzl0cd+4/BiZB0q4+bnBLb7eaUq+PIilxIjfQ0nd9stcootiqoFDP4lBR/oGULtCrxtEbw79YId1+hIXMOWZ8OFICEmGqUvtltjVbN1K5ozbCftyEc7JyQ2O6epIhaitQB3kiuf1PShbeQx1mLtDF1mNi4qr7+3D7lWZbP3+BPknKxl7R69GHW1VagVjpscRGOXB1h9OcHhrPsGxniSMCia8r0+bKzLJ5fI2V6o6TUlONfvX53BkWz6WOivRyUGMmBxNbUV/Tu5KIW13CmsXfcKazz7EKziUyH7JRCYNICg2HoVk0telcR0xHJ8HH6D43ffQJvTGdVTbNOi2hpqa46hUnq0OMgwHDmDYu5eQ985vSD6NxWbhvT3vcXXE1d0iyAC4NvJadhbsZNGBRYyLGodK3vLNhfhRl7Jh8SJSV//B4AlTWjyPOiQEBIH81G/wDr/EbpABYLXYHEqHNxVrlQnDoVI8romQggyJtkftIipT9Z0CZRmnSqu+FgMPr0ixl6PvVNCFdPZKJToSDz1M/ByWT4eD34n+LA3gPGgQmoQEyr//vtsGGlJGow0oXX4Uw74i/O5PRNWEbEPOkTL++PQAMhlccWfvJhvRWc02TuwpZP+6HPKOV+CiUxM/Iphew4Nw8eiaXgZWi42Te4rYvy6H3GPlaN3V9BoeRPzwINy8NOeNr6utJSN196nAYwe1FeWotc6E90kiol8yEYn9W7VjKtF+CDYb2ffeR+2ePUSsXCHeNHYiBw89SU31EZKTv2vVPHn/+hfVGzYS9dcqZHYC3tUZq3l47cMsvXYp8d7dx2SpsLaQrw5+xbU9riXGM6bxExzw16cLOLFzO3f977MW37CbsrM5cdnllDxgpueUjxy6uK9ZdIjSvBomPjGgpUsGoHJtFpV/ZRL01EDkbegwLiFhF5sNMjaJAcfBH8BsgMjRkHSLqEikalovp8QFwM5FYDHCoLvsDqnduZOqtevwufuubtkULgUabYDNZKVowV4Eiw2/BxKRN0Elqqaijj8/OUDeiQqGjO9B4mWhzfpyLs6uYv+6HI5sL8BqthGZ6EPvUSEEx3h0iV25qlIjBzfmcmBjLoZKE0HRHvQeFUxkoi8KZdN2IQWbjcL0k5zclcLJ3SnknzgGgkBAj+hTZoED8I+M6jI9ARJgraggbeJNyN1cCf/mG+Sa84PJjmLnrptRq70blEZtKtbKSo6NHIXP3Xfhc699U7o7/7yTWkstX1/9dYuv1Vl8su8TlAolM3rNaNU8J3Zt5/tXn+eeD79s8WaAYLFwuE8fqqdp6T93m0MX91ULD1BdVsf4R+w3UzZ6PUGg4L87UOvd8ZrcuN+RhESbU1cFB74Xg47MLeCkg943ikFHcH+ptOpCJ3cfpHwEox4XsxwNYKutJf/113EdMQL3MfY3X7oqUj1KGyBXK/C6JY7Cd3dTuvQI3jf3RKZyrJzkonPi+ocT2frDSTavPE7+iQrGTI/DSdu0X4lPiBujp/VkyI1RHNmaz/512fzw5m48A5zpPSqY2MGBTZ6rrRBsAtmHy0hdl036vmKUagWxgwPoPSoY7xa47Mrkcvwjo/CPjGLIxKnUVpSTtmcnJ3fvYNevP7BlxTc46zyISBxAZL8BhPVJwslZarLrTBQ6HSHvvE36lKnk/+d5Al9uXaNxazAas9HpWme8VvH99wgWCx4TJ9odk1aRxta8rbw8/OVWXauz6OffjyVHllBQW4C/s/1SpcbQ+YrnVhTmtzjQsFKHxUvAvTbKYZABbVM6VXeyAkuJEc8JrcvmSEi0GCc36HereJScEBWr9i6GnZ+BT+yp0qop4Cb1LV6QBPQWM1jHV8OA2xscInd2RhsXT83GjbiNGoVM0b2UOaVAo41Q+WjxmhJLydeHKXx/L97T4hzK3gLIFXKG3hhFQKSO1V8cYtnLKVx1d298QpqueuKkVdLnkhASRgeTe7Sc1HU5bFp+nC3fnSBmUAAhMZ64+WjQ+WjRuKra9KbPbLJSVWyksthASW41hzbnUVFowCvIhZFTYogZFNAiDxB7OOs86DXqUnqNuhSrxULu0UP1JVYH1v2FXKEgODaeiH7JRCYl4xXcPMNDibZBExdHwH+eI+/JuWgTE/GcPKnD12CzmTAa89BqQls1T82WrbgMHIjS19fumGVHluHp5MnY8LGtutY/qaurY82aNRw/fpy8vDwCAgKIjo5mzJgxODm1XalkH98+/HTiJ7blbmNc1LgWz+PuI/6MKgryCYqJa9EchYW/YvW2oanwaHSs1SI0OTtqj5rt+Sh9tagjJIM1iS6Adw+49F9wyVNwcq0YdPz9Mqz+D0RdJqpWxV4Fyq5ZKn2hUlNTg9FoxNvbvm9ai5HLIWKU6MXS5yZRLKABXIYMpnbbVupOnEAT0702RqRAow3Rxnnjd19fSr4+RMG7u/G6KRZtr8bfmJGJvngHu/D7R/tZ8epORk2NIW5oULOuLZPJCI71JDjWk5ryOg5uyuXgxlwObsitH6NyUuDuo8HdR3vWcer/vTXn+VcINoGaijoqiw1UFBmpLDFQWWyg8tS/aytM9WMVSjmRiT6MuTWOwChdu9/gK5RKQuMTCI1PYNQtM6koLCBt9w5O7k5h89KvWP/VQnR+/mKJVb9kQuMTUKpb7qMg0Tw8brgBw969FLz4Ipr4OLQJCR16faMxF7Ch1bYu0DBnZ+GcPNDu8waLgR9O/MBNMTfhpGibL/+amhpefPFFPvnkE4qLi8973sfHh1mzZvH000/j2gb1ukq5koEBA9mat5Urwq/AqYU3MWqtM1p3HRWFBS1eS07uUjTB/thyz3/d/8RqsaHWtHxnz1pjxrC/GN0V4dKGhETXQq6AqEvFw1AO+1eKQcfy6aD1hISbxKAjsK9UWtVO/P3337z//vusW7eOwsJCANzc3Ojbty+zZs1i8uTJaNqqNDhiBBz8EdI3Q0zDG1aq4GBQKLEUFUE3CzSkHo12wGa0ULr8KMYDJbiODBG/yBSNfxhYTFY2LBPN6+KGBjKyDczr6mrNVBafChKKxOxDZbGByhLxMZvlzK/fWadG56NF5aRw+LzbqeBEd1ag4qJzQtYEud6OwFxnJOtAan1vR1VxEUq1E/refYjsl0xEUnL97qtE+2Ezmci45VYsRUVEfLsSpWfHNfGXlG5kz57pDB2ytsXBhiAIHOnXH9/Zs/G+fUaDY9Znr+f+1ffz0w0/Ea4Lb/mCT3Ho0CEmTJjAoUOHGh0bFxfHihUriI9vffN5cW0xr+14jRm9ZrSqmf3rp+fgHaLnynsfbva5p13co/aMx7hkA7Hbtzkc/90bu3D1dOLymS1zpK/amEPFb2kEzh2IwlXahJDoBhQeFns59i2F6gLw7y2WVvWZDC5N8+eScExJSQm33HILv//+u8NxYWFhrFixggEDWidGUc+2D6EiG8a+YHdI/rx5aHv1RjeueygbnkbKaLQDco0S71viqN6QQ8XvaZiyKvGeGoeiESlbpVrBJbf0JLCHjrXfHCE9tZj4YUHEjwjCvZEyLHs4Oavw1avw1Z9fjmWzCdSU11FVcipjUWygssSA2WglrJc37r6nsx1icKHqJo7dKieNKI3bL1l0cc/OrC+xWr3wAwTbAnz04UQmDSAiaQBBMXHIu1nNY3dArlYT8vZbpN04gdxHHiH04487rLbUYMhEJlPg5BTY4jmsJSUIBgPqUPvqWZmVmTgpnNC7N9zE1xxycnIYNWoURUVFTRp/6NAhRo8eze7duwkODm50/IwZM/jiiy/Oe/zYsWO8+OKLfPHFF1Q8WcGH8z6sf+77779n/PjxNHU/SucXQEVhfpPG/pOc3KWoVN7oYkdSW/kL1ooKFDqd3fGt6dEQBIGa7flo472lIEOi++DXU7wRvfTfcGK1KJG76t+w6lmIuVIMOqLHgkJST2sJmZmZjBgxgszMzEbHZmRkMHz4cBYvXsz48eNbf3H/XpC1HSwmUDb8maT08sZSWtL6a3UwUqDRTshkMtxGhqDWu1Hy9WEK3tmF19SeaHp4NHpuzyGBBETq2Lc2m9S12ez6I4OwBB8SRgUTGufVZpkDuVyGm5cGNy8NQV3XxLhVyGQyfELD8AkNY+D1EzFWV5O+bxdpu1JIXfMn239YgcbFlbC+/Yjsl0x43344u9u/uZFoHqrAQILnv0HmHbMoeudd/P7v4Q65rtGQhZNTUKMNxY4wZWUBoHIg05tTnUOwazByWet6BWw2G5MnT25ykHGaoqIiJk2axIYNG5rkf3PllVfy2WefnfOY76n+E6WTkq8XfM0rj7+CZwuzTx7+AeQeaTwb80+s1jry878nOGgyTh6i74kpOxttY4FGC3s0TJlVWApr8bguskXnS0h0KgolxFwhHrWlkLpcDDqW3AwuvmKGI/Fm8eZVokmYTCYmTpzYpCDjNHV1dUyfPp34+HhiYxtXrTu92XP33XfzwQcfnPPc/c8vYMFni5l+czVffLPM4Tz/Tk/nueeea/I6Oxsp0GhnnMJ1+M9OonTxYYo/ScX9inDcRoY0Gix4+DszcnIMg6+P5FhKAalrc/jp3b24+2rpPTKYuKGBaFykXYvmonF1pefQkfQcOhKbzUrBieOc3J3CyV0p/PbeepDJCIyOJTJxABH9kvELj5Tqt1uJy5Ah+D78MEXz56Pt2we3DpDnMxiz26A/IwdwHGhkV2UT7Np4NqExfv31VzZt2tSiczdv3swvv/zCddc1nk53cnIiIKBh9Zpeg3tRmFnIvHnzeO2111q0Fndff6pKi7FazCiUTf98Kir6HYulgqCgSajqPAAwZ2Wj7WX/RslqbnmgUbM9H4WXBqcmbPxISHRpnL1g0N3ikZ96RrVqy3sQmCjK5PaeII6TsMubb75JSkpKs8+rqqrizjvvZP369U0aHxoaypIlS3jzzTfRasVKFaPRyDff/YrexwUsRvLy8urHL126lGeffZYjR45QvXEj1Rs20OORR5q9zs5EMiDoABRuanxmJeA2OpTK39Mp+fIgtlpzk85Va5T0GhHM5GeSufGx/gREuLP1hxN8/uQmVn9xkIL0ynZe/YWLXK4gMDqWYZNu4dZX3ubuDxYx9u4HcfXwYvuPK/nqyYf46N7p/PnhOxxL2YLJaOjsJXdbvO+chetll5L7+BOY0tPb/XoGQ2abNIIrPD0dGiRlV2cT4tZ6Y8L333+/U88HcFI5Mfaesbz77rtkZ2e3aA4P/wAQBCqLCpt1Xk7uUjw8BuHsHIHCwwO5qyvmHMdraGlGw2a0YNhXhMsA/y7TVyYh0SYEJMCV82DOYZj8NbgHwW9PwBuxsGw6HFsFVktnr7LLYbPZWLBgQYvP37BhA/v27WvS2H79+hEaGsq3335b/9i3336LXh9GUoQPmI0EBATUHzqdKK4TEBBAUHQ0vkolzt1s81MKNDoImVyG7opwvGf0oi69koL39mDKqW76+TIZgT10XD6zF9NfHkbyNeHkHClnxSs7WD4vhUObc7GYrO34Ci58XD29SLhkLOMeeYr7P/2Gic+8SOzQEWQfPsiP/32JBXdMZcVL/2LnLz9QlpfT2cvtVshkMoLmzUPp7U327Iew1da26/UMhqxWS9uasrIdZjMEQSCnOocQ19YHGhs3buyQ83/++WdcXV3rj5tuuqn+ObVcTfDQYBITE/n3v//donXo/MRsSUVB0/s0amvTKC/fRnDQFEB8r6hCQupL1+whZjSa/4Vbu6cIwWrDZUDLPUMkJLo0SjXEXQtTF8Mjh8WejuKj8PVEeKu32NdRdLSzV9ll2LJlS7NKphpi6dKlTR47c+bMc0pYFy5cyO233y7+3ixGu+cpvcSslLW0rOUL7QSk0qkORtvTC/8Hkyj5+hCF7+/B47oeuAwMaFZ5jrO7mv5XhpM0NozM/SWkrsthzZeH2bTiOD2HBtJ7RDAe/s7t+CoufBRKFWEJiYQlJDL6tjspy88V5XN3pbDhm89Yu+hjPAODTjmUJxMc1wulSiplc4TCzY3gd98hffIU8v79HEGvvdouZWlmcyUWS0XrMxpZWQ4bwUuMJRgsBoLdWlc6VVJSQmVl6zKTVVVVFBcX4+PjWHnmkksuOSf74eJyxuBSrVBjtpl59sVnue6K63j00UebvQ43bx9kcjkVRU2XuM3JXYpSqcPX94ozawkNwZzVWEZDaFEzeE1KPppYLxTukheBxEWAqx8MfQCG3A+5u8XSqp2fw6a3ICRZlMntfSNoLt7exGPHjnXoHLfccgtz584lIyMDgE2bNrFkyRLWrvzEcaBxysfDUlqCWt+677eORAo0OgGllwa/e/pS/vMJyr87jimjEo8bopA3U9VJLpcR3seH8D4+VBTVcmB9Lgc357L3ryy8g10JS/AmvLc3/pE65FKJQKvwDAjC86px9LtqHCajgczUvZzcncLRrRvZ9esPqDRawhL6ngo8BuDq1Q7GPhcAmpgYAl94gdxHH0Wb2BevadPa/BqCIPq7yOStC/wEsxmZg+DRbBXLH1WtvI7JZGp8UBvN4+LiQlRUVIPPyRA/IwYPG8wVV1zB3LlzmTFjRrPWIJPJkCsUWM1NKw212Uzk5a0kIOAGFGf5kMhUKgSz/eDLZrVRZ7Dg5Ny8n70ppxpzTjXul7VeElhColshk0FwP/EY+yIc+VUMOn6ZA78/CXHXiUFHxCjRRO4iIjc3t/FBbTiHr68v11xzDZ9//jmCIHDNNdeIm0RyFVjtf3bKnZ1BpcZaUdHq9XYkUqDRSchUcjzHR6MO11H+7TFMOdXorghH07NlqlI6X2eGTohi4HURpO0rJj21mIMbctn1ewZOLkr08d6E9fYmrJc3Gldp5701qDVaopIHE5U8GEEQKMpIq892/PXx/xAEG37hPYjsJ8rnBkTFIJdL8rmn0V17jWjmN+8VNHHxOPdLatP5VSpv5HItRkPL+gzq5wkJwZRtv0TOz9kPpVxJTnXryugCAgLQaDQYjfZ3shpDo9EQGNhyKV8Ak82EAgU6tY5XXnmFxMTEJimpnE1NeRlWsxmdf8MN5/+kqHg1ZnMpwUGTz11Ldg5OdgIigOqyOgSbgLtP8wyzarbnoXBXo4mRGmMlLmJUGjGL0ftGqMyFvUvEoCN1ObiHQOJUUbXK6+JQZfP3b30ZpT2RDXvMnDmTBx54AID//e9/4oM2CyjsV6PYDAYwm1C4u7d4nZ2BFGh0Mi5JfqiDXChbcYySRQdReDjhMigQl2T/Fum7K9UKogf4Ez3AH5tNoDC9koz9JaSnFnMspQCZDPwjdGK2I8Eb72BXSVWpFchkMvzCI/ELj2TQ+EkYqipJ37OTk7t3sOfPX9n67VK0bu6EJ/YnMmkA4X37o2kDN+fujv9jj2I8cICchx8WzfwaKflpDjKZDK02FIPBcY1/Y6hCQ6jdvt3u8wq5giCXIHKqWhdoyGQykpKS2LJlS4vn6Nu3b6v/js1WMx4aD+RyOQkJCUybNo133nmnWXOUn/LQ0Pk27Ys7N3cp7u5JuLqeG9CYs7Jwu2S03fMqi0VhBnefpvsL2UxWavcU4TosqEkGqhISFwXuQTBiDgz/P8hOEWVyt30I61+HsGFiwBF/AzhduN9b0dGt1/e3lym2x5VXXonJZEImk3HFFafKRq11oLS/CWIpLQXOlFB1F6RAowug8nfB7/5ETFlVVG/No3J1JpV/ZaBN8MF1cCDqMPcW3UTI5TICInUEROoYNC6SmvK6+qBj5+8ZbPvhJC4eTmKmo7c3IT09UWukt0Rr0Lq5EzfiEuJGXILNaiXv2BFO7k4hbVcKhzb8jUwuJygmjoikAUT2S8YnNOyiDPRkajXBb75J2oQJ5Mx5BP3CT5Ep2+69p9XqMRhbF2ioQ0KxFBZiq6tD7tRwPX+IWwjZ1a3LnADceeedrQo07rrrrlavwWQz4aU58yX3/PPPN6vBEaCyUOzNON0U7giDIZvS0o3E9Zx3zuPW6hqsZWWoQuzXIFcWG5HJwM2r6RkNw74iBJMVl+Tm7TxKSFwUyGQQOlA8rnwFDv8supD/8AD8+jj0ukEMOsKGiWMvIIYOHUpQUFCrSqjOFtZoCgqFgkOHDtX/G5vtlFmf/c80S4lo1qfw6l4ZWemusguhDnXDK9QNj2siqNlZQM3WPIr2FKEKcMFlSCDOiX7InVpeguPi4UT88CDihwdhNdvIPV5ORmoJ6fuLObgxF7lSRnCMJ2G9xWyHzldqKG8NcoWC4J7xBPeMZ8TU6VSVFIslVrtT2PrtEjYu/gI3H99TDuXJ6Hv3QeXUvFKQ7ozK34+QN+eTMeN2Ct98E//HHmuzubXaUEpKmqZrbg/VqUZwc04OTpENlxCEuIawt2hvq64DMHXqVF544QXS0tKafW54eDhTp05tdNznn3/u8Lm3dr51TqARHh5OXV1ds9ZSXpCPs84Dlabx93Fu3jIUChf8/a855/HTsraqEPtN9hXFBlw9Nc2St63Zno9TtCdKz4vnb0xCokWonaHPJPEozzxVWvW1eHiGi70cfaeAh76zV9omKJVK7rrrrhab4A0cOJD+/fs3+zz3s0ugjOWAACr7IhXW0lJkaifkZ4l4dAekQKMLIndW4TYiBNdhwdQdL6d6ax7l3x+n4tc0nPv54To4EJV/695oCpWc0DgvQuO8GD4pmvKC2vpsx+aVx9m47Bge/s5itiPBm6AojxabY0mIuHn70OeyK+lz2ZVYTCayD6Zycs8O0nbtYO+q31CoVIT26kPkqWxHU3aFuzvOycn4Pfooha++irZPX9yvGNsm82o1IRiNWQiCDVkLXbvVp6RtzVlZ9gMNtxB+TfsVQRBalZnSaDQsX76cYcOGNevm3snJiRUrVtQbP7UUQRAoNZaS6JfYqnkqiwqa1J9hs1nIy11BgP91KP5Rk2w+JWurDnWU0TA0qz/DXFCDKbMKr2k9m3yOhIQEYjAx6nEY+RhkbBaDjY1vwd8vQ8RI0RCw57VicNKNeeyxx1i5ciWpqanNOk+r1fLRRx81aayjzR5qivj+8UvFRv2zmDFjRr0oh7WkBIW3d7ergpACjS6MTC5DE+OJJsYTS7mRmm351KTkU7MlD6dIHS6DA9H28kamaH0A4OHvjIe/M30vDcVktJB9uIyM1GKO7yhg7+osVBoFoXFe9WVWLjpJGrI1KNVqwhP7E57YH2H6XZTl5XByVwppu1NYu+gT1nz2IV7BoUT2SyYicQDBPeNRtGFpUVfCa8Z0DHv3kjd3Lk7RUXZv6puDVqvHZjNhMhXh5NSyRj+lvz+oVJgcmNeFuIVQba6mxFiCj7Z1fSb9+/dnxYoV3HLLLVQ0QVVEp9Px5Zdftmgn7Z9UmaswWo14ajxbNU95QX6T+jNKS9dTZyog6B9N4CD6l8i0WhQO6pAri414BzV9s6Vmez5yFxXauO5V2ywh0WWQySB8mHhc9Roc/EEMOr69E5zcodd4MegISe6WpVXOzs6sWLGCESNGUFjYNMNRhULBRx99RN++fVu/gJriUwux/z1iKS2t99LoTlyYdy4XIEoPDborwnG/VI/hQDHVW/Io/eYwcjc1LgMDcB0YgKKNbv7VGiWRib5EJvoiCALFWdVk7C8mY38Jf391GATw1bvVZzv8w9wlh91WIJPJ8AoKwSsohAHXjqeutpaM1N2k7d7BoQ1/s+Onb1FrnQnvk0REv2QiEvvj4tG6G8KuhEwmI/DFF0mfNInsB2cTsWxpq1PDmlMeGgZDVosDDZlCgTooyKGfQ3///qjkKn45+QvTe01v0XXO5tprr2Xnzp3cd999rFq1CkEQzl+XTMZll13GggULmt2AaI89BXtQyBRE6loX5FUU5hMa37vRcTm5S3Fz7YW7e8J5z5mzs1GHBDvctassNhDRp2mBnWC2Ubu7EOcBAcikrKyEROtxcoWkaeJRehL2LIa9i2HXF+AdLfZy9J0iNpp3I2JiYti9ezeTJk1i06ZNDsf6+/uzZMkSRo8e3TYXLzoMrv6iaZ8drCUlaOLi2uZ6HYgUaHQzZEo5zn39cO7rhzm/huqteVRvyKHq70w0Pb3Rxnmh6emFwq35ilUNXk8mw1fvhq/ejQFXR2CoNpF5oJSM1GJS12az49d0tG4qUT43wRt9vFezte0lzsXJ2ZmYQcOIGTQMwWajMP0kJ3elcHJ3Cn988DYIAgE9ous9O/wjo5B1c91zhasLIe++Q/pNk8h95hmC589vVXpYqxHLngyGTDw8BrR4nsYcqr00XowNH8vSI0u5Nf5W5C0s0zqbHj168Mcff3D06FGWL1/O8ePHycvLIzAwkKioKCZOnNhs2VlH2AQbW/O2kuCTgJvarcXzWEwmqstKGy35q6sroKTkb2KiG3YfN2VnOWwENxktGKvNTS6dMhwoxlZrwSVZcgKXkGhzvCJhzNMwei6kr4fdX8O6V2HNC9BjjNjPEXu1KKnbDQgKCmLdunX8/PPPvP/++6xfvx6DQVS5UygUxMfHM2vWLKZPn45O10Ymh3XVkLVdVPeyg2CzYSktc5jp7apIgUY3RhXggucNUeiuDKd2dyG1uwsp+/aY2E8U7IqmpxeaWE/UIW5tlnHQuqqJHRRA7KAAbFYb+WmVZKSWkLG/mCPb8pHJZQT20NVnO7wCXbpdPWFXQiaX4x8ZhX9kFEMmTqW2opy0U/K5u379gS0rvsFZ50FE4gAi+w0grE8STs7dq1HsNE49ehD48svkPPwwpX374t1Ms7izUSi0qNW+rZa41fbtQ+kXi7DV1NjNskyJncIvJ39hS+4WhgUPa9X1ziYmJoann366zeazx/Gy4xQbi5kUO6lV81SVFIEgNNqjkZu3AplMTUDAuAafN2dl4zLc/s+xslj0G2mqtG3N9nzUETpUkriFhET7IZdD5GjxMP4XDnwnBh0rbgeNByRMFIOOoKQuX1qlUCi4/vrruf766xEEgby8PIxGI6GhoagcmLi2mPSN4n/Dh9sdYs4vAKulTaXgOwop0LgAkGuUuA4JwnVIENYaM8ajZRgPl1K9OZeq1ZnIXVRoYj3FwCPaE7m2bX7tcoWcoCgPgqI8GDK+B1WlRjL2l5Cxv4SUn9PY8t0J3Lw09UFHcKwnqma6n0uci7POg16jLqXXqEuxWizkHj10qrdjBwfW/SUqXcXGE9EvmcikZLyCQ7pVoOd+5RUYZs6k8PX/ou3VC+fk5BbPpdWGtlri1mPiRIo/+JCKn37Gc8r5/QQAfX37EusZy5IjS9o00OgoNudtJtAlkDD3sFbNU1kk1jXr/OxnDgTBRm7ucvz9rkapPD97Ithsp0qnQuxfpxkeGuZiA3UnK/Ca3HYZIAkJiUbQ6KD/DPEoOgp7vxGVq1I+Ab94sbSqz2Rw9evslTaKTCYjKKgdS8BsNjj5t9jborGfUa7dsgW5m5tDI9OuihRoXGAoXFS4JPnhkuSHYBUwZVViPFyK8XAptbsKQQ7qMHe0PcUSK6Wfc5vdiLp5aeg9MpjeI4OxmK3kHC2vz3bsX5+DQiUnJNazvqG8OWZbEuejUCoJjU8gND6BUbfMpKKwoF4+d/PSr1j/1UJ0fv71JVahvfqgVLdNSV174jfn/zCmppI9Zw4RK1ei8mvZl5FW0wamfUFBuF5yCWWLF+MxeVKDfysymYzJPSfz4tYXya3OJci1+9QllxnLOFRyiBuibmj150DukUM4Obvg6mU/tV9athmjMYug4DcafN5SVIxgMjXioWFAqZajdWt8Z7EmJR+ZVom2d/fbBZSQuCDwjYHLnoNLnhFvqPd8Daufh1X/huixYp9H9BUOexMuaAoOQE0RDLTvhWQzGqnduROXEcPb1G+qo+h+K5ZoMjKFDKdwHU7hOnRXRmApN2I8ImY7Kv/KpOK3dBQeTmKmo6cXmh46ZKq2yTgoVQrCenkT1ssbQYimLL9WDDoOFLNx2THWLzmKZ6AL4aeyHQE9dCjaQD3rYkbn50/iFdeQeMU1mOuMZB1I5eTuHZzctZ09f/yMUu2EvncfUckqKRl3H9/OXnKDyJRKgt+cT9qNE8h5+P8I++JzZC1IV2u0oZSVbW31ejynTiVr1iwMu3fj3K9fg2OuibiG+Tvms+TwEuYMmNPqa3YUKfkpuKvd6efX8OtqKlaLhYMb/yZ+1BjkcvufIbm5S3FxiUbn3vD1zNmnpW0dZDSKDLj7aBsNjASLjdqdBbgk+SFTSZ8tEhKdikIJ0ZeLR20p7F8pBh1LbwFnb0iYJAYdAecLRFzQZGwGnxix18UOtXv3gkKBy5AhHbiwtkMKNC4ilB4aXAcF4jooEMFso+5kOYbDpRiPlFGzNQ+UcjQ9dPWBR1sZW8lkMrwCXfAKdCFprJ46g4Wsg6Vk7C/m8NY8dq/KRK1VEhrnRXiCN/pe3ji7X6S7G22EyklDZL9kIvslIwj3UJKdWV9itXrhBwi2Bfjow0+ZBQ4gKCYOuaLrlLUpfXwIfustMm67jYLXXyfgqaeaPYezNpw6UwF1pmKc1C3f0XYZOgRVmJ6ybxbbDTScVc7cHHczC1MXcon+EpL8klp8vY4ipyqHgyUHGRUyCidl6xTrCtKOU11aSt/Lr7Y7ps5UTFHRKqKinrAbJJxuvFcF2zfrqywxNikbajxciq3ajMvAC9+PRkKiW+HsBQPvFI+CA7DnG9i3FLa9DwF9xF6OhJvApfs1PjeL0jSozIW46+z2rQiCQN2hQzj374fSw6Nj19dGyISG9BMlLioEQcBSZKgvsapLrwSbgNLfGU1PL7SxnqjD3NvEr+O8a9sECjOrxN6O1GIKM6pABn5h7oQniCVWvqFt18wuAcbqajJSd4uBx56dGCor0Li4Eta3H5H9kgnv2w9n9zZS02glpV9+RcFLLxH0xn/RXXNN4yechdlcwcZNQwkPv4+I8PtbtY6Szz6ncP58otf+jdKO6ofZZmbWH7PIrs5m2bXL8NZ23S/JMmMZM36fQaBLIO9e+i4qeesaHJe98DQy4KZ/vWR3THr6AtLS/8fwYZtRqRp+fxW99z/KliwhZuMGu/N889xW9PHeDJ8U7XBNRQv3Ixgt+N2X2JSXICEh0ZlYzXBslZjlOPo7IIPYq8SgI+oyMSNyIVFVAJ9dDT5RMPlru6+vds8esu66m5B338Fl0KAOXmTbIAUaEudhM1owHivDeLgM4xFxV1CmUYjmgbGikpXCtX0yDrWVplMN5cVkHSzFZLTi7K5G39ub8N7ehMZ5oW6jZnYJsfk2/8QxTu4Wsx0FJ4+DTEZgdCyRiQOI6JeMX3hkpzWUC4JA7mOPU7V6NRHLluIU7fjm8p8cOjSXktINDB2yFrm85e8ba3k5x0aNxue++/C5234tbWFtITf9dBPRntF8eNmHKByUEXUWVpuVe/66h6NlR1l27TL8XVon+1qYfpIvn5jNuDlPET1oaINjBMHKps2j8PIaTnzcK3bnypnzCOacHMKXLml4HpvAh7PXMeTGHvQdY7+Pw1JmJP+1FDxvjMYlWcpoSEh0K2qKYd8yMego2C/6S/SZLAYdfj07e3Wtx2qBRddDyXG4Z4PDpvicRx7FeOAAkb/+0m1l7KVAQ8Ihgk3AnFuN8XAphsOlmLOrQQaqEDe0p5SsVEGu7ZJxsFpt5B+vIP1UtqMsvxa5QkZglEd9tsPDv+2a2SWguqyUtD07SNu1g4zU3ZgMBlw9vYhIEoOOsN59UWs7VibUVltL+uQpCGYz4cuXoXBrutdDZdV+UlKup0/CB/j6Xt6qdeQ+9TQ1W7cQtWoVMgdlZtvytnHXqru4M+FOHkh6oFXXbA/+t+d/fLTvIz68/EMGBw5u9XyrPn6Pkzu3c+f/PrNbfldU9Bf7Uu8mecD3DZr0AVgrKzk2ajTes+7A9/6GM1A15XV8/uQmrrmvD+EODPsqVmVQvTGHwKcHIZeU7iQkuieCAPn7RJnc1GVgKIPg/mLA0XsCaD06e4UtY9W/YfO7MONnCGt4cwbAUlzMsUvG4P/oI3hNb70hbGchBRoSzcJaZaqXzzUeLUOosyJ3U6GJ9ULb0wunKA/kmvbJOFQWG0g/pWKVc6Qcq8WGu4+GsAQfwnt7ExTjgbKNmtklwGoxk33owCklqx2U5WajUCoJjutNZFIykf0G4Blov5a+LTGlp5M28SZchgwm+J13mhVcpuyYgFLpRlLi561ag+HAAdInTMTv0UfwnjXL4diP933MO7vfYcGlCxgRMqJV121LNuZs5L6/7uOBpAe4q4/9zExTqaut4cN7ppM8bgJDJk61O273nhlYLJUkD/jW7pjSRV9S8NprRK1ZbVdpLPdYOd+9sYupzw7CK6hhXxPBJpD/6nY0Pb3wHN+8DJiEhEQXxVInllTt/hqOrwK5CuKuFYOOyNHQBbPHDXL4V1gyFS5/AYbNdji0cP6blC5aRPS6tSjayhywE5ACDYkWI1ht1KVXYjwi9nZYCg2gkOEU7n6mobwJ6jAtwWyyknO4rD7bUV1Wh1ItJ6SnF2G9vQlP8Ma1jZrZJUTK8/M4uTuFk7tSyD6YitViwTMw6JR8bjLBcb1QtoeZ0SmqVq8m+/4HmnSjfzZ5ed9y8NBjDBn8F87OEa1aQ+Eb8ylZuJCwzz9z6PFhE2w8uOZBtudt55nBz3B91PWtum5b8OOJH3lhywskByTz3qXvtYmL+e7ff2Ltok+4872FdmVta2vT2bL1UuLjXiMwcEKDYwRB4OTV1+DUM5aQN9+0e72NK45xZEs+M14dhkLZ8PoNh0sp+fwAfg8kog5pudO5hIREF6UqX2we3/01FB8B92DoO0UMOrx7dPbq7JO5Fb6ZBOEjYPJXDo0La7ZsIfOOWfjcdx++D7Sux7CzkQINiTbDUmqsDzqMJ8rBIqDw1qCNFYMOpwhdu8hMCoJAaW4NGftLSE8tJv9kJYJNwDvYlbAEsbfDP8IduSSf22aYjAYyU/fW+3ZUl5ag0mgJS+hb79vhyE+hpRTOf5OSTz5Bv/BTXAY3rezHaq1j46ahBAVOIDq6+epVZyNYLGTOvIO6tJNEfvstSl/7EsFGi5GXtr3E98e/Z0L0BOYOmouTonXqTi2hzlrHvG3zWHlsJdf3uJ6nBz+NVtl6DxtBEPj8kfvwCQ3juv970u64Y8deJjdvJcOHbUKhaDj4r9m6lcwZt6Nf9AUuAwc2OMZssvLFk5uIHx7E0Bvtm1YVLzqItdyI/+zWSfZKSEh0cQQBcnaKvRypK6GuAkIHizK5vcaDUxfZaBAE2LoAVj0rGvPdvFQ0NbSDuaCAtPE3ounZk9CPP3JYqtsdkAINiXbBZrJSd6L8lJJVGdaKOmQqOU5RHmeyHbr2ueky1pjJOlhK+v5iMveXYqwx4+SiRB8v9nWE9fJG49p+O+8XG4IgUJSRJgYdu1LIO3YEQbDhF96DiKQBRPYbQEBUjEN/hSZfy2ol6847MR4+QsTKFagCA5t03rHjr5Cbu+zUzW7rbrItRUWcvPFGnCIi0S/8tFEDpe+OfcdL214iUhfJG6PfINTNfhNzW5NVlcUjax/hZMVJnh70NOOjx7fd3Af2sez5p5j07MuE9urT4Bir1SgGeUE3ER011+5c2bMfou7kCSJ/+sluBvTQ5lzWfHmYW54fgs634d+hpaKO/Fe34zGuB66Du49xooSERCsxG+DwL2LQceJvUGkhbpwYdIQNh85qpDZWwA/3w6GfYOiDcOm/QWH//kMwm8mYPgNzbi4R365E6eXVgYttH6RAQ6LdEQQBS0Gt6NlxuBRTZiXYQBXoIqpY9fRErXdvl4Zym02gML2yPttRnFWNTAb+ETox25HgjXewq9RQ3oYYqipJ37uLk7tSSN+7C2N1FVo3d8IT+xOZNIDwvv3RuLq2eH5LaSlpEyai9PMl7MsvkTfB7by2NoMtWy8lrucrBAVNbPG16+dLSSFjxu14z5yJ3yONG/QdLj3MnLVzKDeW89Lwl7hEf0mr19AYa7PW8tTGp/Bw8mD+6Pn09Go7tRbBZmPlvH9TVVLMjDcW2P37yc1bwaFDTzBk8BqcncMaHGMuKOD4mEvxf2ouXtOm2b3m8nkpaN3UXPtAX7tjKlZlUL0hh8CnByJ3ktTpJCQuSiqyYe9i0Z+j9CR46KHvzZA4FTzDO24d+fth2a2iitYNC0S/jEYoeOVVSr/6irAvF+Gc1PX9mJqCFGhIdDi2WvMZ+dyjpdhqLMidlTjFeIoN5dGeKFzaJ+NQU153Sj63hKxDpZjrrLh4OImZjt7ehPT0RN1OzewXIzablbyjR0jbI2Y7ijLSkMnkBMX2FEus+iXjExrW7EDPsG8fGdNuweOmiQQ8+2yTztmzdyYmUykDk79vwSs5n5JPP6Xw9f8SsmABbmMaDxyqTFX8a9O/WJ25mv7+/ZkSO4VL9ZeicrC71VzMVjOrM1ez5MgSdhbsZEzoGF4Y/gLuavc2uwbAtu+WsXHJIm588jkikgbYHZeSMh6VyoPExM/sjil69z1KPvuM6PXrUNgJQAvSKlnx6g6uub8P4QkNq00JVht5r2xH28sHzxvsl1ZJSEhcJAiC2Bex5ys48D2YqsX+iMRpED8O1A0LSrSa6iLY9Tms/y94R8OkL5rUO1L555/kzH5I3HS57bb2WVsnIAUaEp2KYBMwZVfVmwWac2tABmq9O5qeom+HKtClXTIOVrON3OPlZKSWkL6/mIpCA3KljOAYz/rAw8OvY6VcL3SqSorr+zoyUvdgqavDzcf3lEN5MvrefVA5Na2Jv2zJUvKfe47AV+bhccMNjY4vLl7D3n13kjzgO9zdGy71aQ6CIJD9wIPUpqQQsXIF6tDGS6L+v707D4+zrvf//5otM5N1ZpJmT7N036AUClVBURRUcGUpBY/6Vc/xeI4CLucooh4PuJ3zAwXk6/G4cDy/gxQtKIuiiEcRFcGWltIt3ZKmmTT7zGQyyez3/f1jhilLk6btPV3o83FduZqLue8796RpmNe8P+/3xzRNPd7zuO7beZ/WD6xXtadal8+/XFfOv1L1ZUe/38PAxIDW7VqnB3Y9oNHEqFbWr9TqBat1cevFlv/b2b/1ed3/lS/ovPdcqdet/pspj4tGn9f6De/RGWd8T7NqLjrkMWY6rT1vukjlF71JDV/+8pTX+t8fbVff7ojed8trZJ+i8jn5/LBC93aq7oYVctUX6QUEgFNTakLa/nBuadW+P0olFdKSd+dCx+xV0zZmz4hpSr3PSOt/kAs1doe04v3SW27OLeM63O29MFnx/PPV9K1vvqpWWRA0cFLJRpNKdIYV3xlScndEZiorR1VJfqPA/Phcd3EaoyKDk4XNAvt2R2RkTPnqSnOhY1m1Guf6ppx0gyOXSaUU3LE1t1ngxg2KDPbL4XKpZckZ6jjrHHWsWKmq2qlffJumqf7P36Too4+q7Sf3ybNw+qVBppnVU395o/y+VVq8+N8teQ7ZaFTdl18hmaaa77xDnsWLZ3zu3she/WTnT/Tw3ocVz8T1huY36LyG89RS0aLm8mY1ljfK43xl6EpkEjoQO6BgLKjgeFDP9D+jJ4JPyOv06p1z3qmr5l+luf7ivKMfC43qfz53vWpaWnX5TTdP23ezfcdnFQ49pde+9gnZbIc+Lvrrx9R3ww1qf+hBeRYsOOQxiVhaP/rcn3XuO9q14pJDL7+SpOHvPS/TNFX70amXVgGAwvuk5/JLq8b2S4E50vJrpDOukqpajix0JMakrQ9I63+Y21ww0CGd86FcgCmdWX9FZnhY+z/8EZmplNruXzdlZfdURdDAScvMGEp2j+WqHTvDyozkx+d2VMmzMLdvh7P62KfnHEoqkVGwM6yeLSPq2TqqibGUXG6HWhYF1JrfLLCsSM3spyPTNBXu71PXxvXq3rRewR3bZGSzCjS1qGPFSrUvP0dNCxfL8bLGayOR0L4118iIxdR+/7rDzhrft++76t53p1772iflLpl6w7cjkQoG1Xfd9Uru2aP6L31RVZdffkTvRk2mJ/WLrl/ogd0PaHd4t9JGuvDYLO8sNVc0q8Zbo5H4iILjQQ3HhwuPu+wuzfPP0+XzLtelHZeqzFW8d/KzmYzW3fJ5jQ0O6G/+7U6VVvmmPDaVGtGfn3q92ts+oba2j015XM8HPigzk1Hbj++Z8phNv9mvpx/eqw9+/XXyVhy6Hyc9OKHBb21UYM1ClZ459SQwACgwDKnnT7kxudsfkjLxXKXD3yb5W/N/5j+cHinSkwspL/6YGJZsdmn+26SVH5Y63nhEjecTf/2r+j79aUlS6913yz3v1bf3D0EDp4z0SDwfOkJKdo1JWVPOWd5CQ7m7rUq2IlQcTNPUSDCmnvxmgQPdUcmUZs2uKFQ76lqL08x+ukpOTmr/ludy1Y5NGzQRCavEW6q2M85S+4qVal9+tsp8fklSqrdX3ZdfodIVK9T8nf8r2zS/5FOpkJ5+5hJVVCzR8jN/OOU77UfKSCY1+NWvKfLTn6rqPe9R/Ze+KLv3yEOwYRoamhxSX6xPwfFgoWoxPDmsWaW50NFc3qym8iY1VzSrtrTWkv0wZuIP99ytZ3/5oFb/yzfUtHDqyo1pGnpu84c0Pr5Nq877tUpKDj3mOLl3r7ouvUyNt96qqssuPfS1DFP3fOkvqp9Tpbf8nyVTfs3wQ3sU3zKihs+dW5TfAQBe5RJRqesJKdydDxH5UBHZLxXe/LFJlY2Sr/VgGPG1Sm3nS74jmyZomqZGf/ADDX/rdpWec46abrt12nHppzKCBk5JRjKr5J5wYZmVEU3J5nbI88L43AUBOSoPP43oaMRjKe3fFlLP1lHt3zaq5GRG3gpXbnzusmrNXhyQu5TxuVYxDUND+7ry1Y4N6t+7SzJN1XXMU8eKc9Rx1kqV9R5Q8GMf06zrr1PNx6Z+B12SRkN/0nPPfVDt7dero/0Tlt5r5MEHNfDlf1VJa6ua77hdJW1tll7/RNn916f08G1f0xv+5sM657LpR+R2dX9b3d13aPnyH6k6cP6Uxw185auK/upXmvv73005Oaxn26h+8e3Nuvyfz1Z9x6GrVUYyq/6vPaPy1zWq6uK2GT8nADgsIyuN90vphFTVLLmOfSPgbDSqA5+7UbHf/U7Vf/d3mnXdJw47Jv1URtDAKc80TaX7JwoN5aneccmUXE3l8izwy7MwoJLmiuKMz80aGuiOFqodo30TstltaphTVWgoDzQWp5n9dDU5FlH3c8+qa9MG9WzeqOTkhEqrfFqekHzrN6r+23fK/+Y3T3uN7u5vq6v7Di0/879UXX2BpfeX2LlLfdddp8zIiBq+/jVVXnyxpdc/3sIDB3TP525Q67Llesenbpz2Z3mmIc6YmNDuN1wo/7XXqvaTN0x53C+/87xi4YSu+vzKKb9u7Ol+RR7ao/rPniunj+WMAE5e8W3b1Hf9DcpGo2r8xjdmNLHwVEfQwKtOdiKtxK5wLnjsCsuMZ2Qvc+VCx4KAPPP9snuL8+7BeChRGJ8b3BFSJm2oIuApLLFqWuCXq+TU3uXzZJLNZNS/q1Ndm9ar69m/qv2Pz8g3mVTX2y9S8+svVMdZKxVoan7Fi9SDy3u26tyVD8vjsXZzt2wspv6bvqDxxx6T7+rVqv7wh2c0lepkk04ltfYLn1E6mdD7vn673KVT94AkEgf01/Xvyi9Lu1u2aZZ0he/7iQZuvllzH/+NXE1NhzwmOhLX/3zxL7rwmgVacsGhjzFNU0N3bJQj4FXN+2feiA8Ax5NpmoqsW6fBr3xV7rlz1XTnHSppbj7Rt3VcEDTwqmZmTaV6owfH5w5MSnappLVS3hd2KK8tLUrFIZPOqm9XpFDtiI4k5HDZ1bzg4PjcypriNLOfrsJ7dqv//R9Qwib9ubVWqWxGVbV1uT07zjpHLUvOkDO/TCeVCumv698pt7teZ6+4V3a7tUvtTNNU+H/u0fBdd8kYH1fZBefLf801Kr/gAtkcJ3/YjMfG9atv36rebVt0zVdv06zW9imPNYyUNm68RonkgM5d+bBKSqaetpIZHVX3e94rzxnL1HLXXVMe95cH92rrE0F98N/Ol2uKSXPJfWMa/u7zqvnwUnnm+Wf+5ADgOMiOj2vswYcUXrtWqa4u+VavVt3nb5TdffpUXwkaOK1kIgklduaqHck9EZlpQw6fO9fXsTAgz5wq2VzWvwg0TVPhgYPjc/t3j8kwTPkbytSWr3bUz6mSw0Ej67GKb9umnjXXqOKyS5W88j3q2rhB3ZvWKzo8JGeJW7OXnpGbZHXWOTJdB/TsxqvV3HSt5s//YlHux4jHFX30UYXvXavEtm1yNTXJd/Vq+S6/XM7AzMYfHm8De3frkW99Q6nJCV163T+pbfnZ0x6/a/dXFAzeo7NXrFVV1dS72ZrZrPZ/5CNK7tqt9p/9TK662kMel00b+u/P/1nzzqnTBavnT3m90bWdSvfFVPepsxnGAOCkkejsVPjetRp75BGZ6bQq3vxm+a9Zo7Jzzz3Rt3bcETRw2jLThpJdEcXz43OzoYTktMszp6oQPJz+Y2/8OpRkPKPe7SH1bB1Rz7aQ4tGUSrxOtSwKqG1ZtWYvqVZpkZrZTweRBx5Q/01fUMNXbpHviityEz6C+3MN5c9tUF/ndpmGoZrZbZr9OlNG5a+1ZPEdqq+/rKj3Fd+yReF71yr6y19KpqmKt71V/tWr5VmyRHZPcX7WjoRpmnr+t7/W73/0n6qZ3a53fupGVc46dBh4weDQo9q69ROaP+9Lamn5wLTHDt1xh0b/83uaffcPVbZq1ZTH7XxmQL/9r+265svnyT/F5nvZ8ZT6v/FXVb21XRVTLK0CgOPFSKU0/thjCt+7VvFNm+SsrZVv9VXyXXHllG+qnA4IGoByL7Ayw/HCEqvkvqhkmHLWlcqzICDvQr9KWitlK0LFwTRMDfeOa9+WUfVsGdFQz7hkk2pbK9WW37NjVktxmtlfzfq/+CWNPfSQWu+9V96lLx2NmpiIqef5TYXgUbtyhypbY0p3Xan2pW9R25krVFo5/Z4cxyITDmvs5w8qfN99Su/fL0lyzpolV0uLXM1NKmlukaulRSXNTXK1tMhZWzvt2F4rpBMJPf6D/6sdf/y9zrz4Ul34/o/I6Zp+etrERJfWb3i3qqsv1NIld0y7BDH25JPq/buPatYNN6jm7z867XUf+Pdn5XDZ9e5PTl0dif5+v8Z/16uGG8+VnSlvAI4TM5tVZmBAqWCf0sFepXp7lQ72aeKpp5QNhVT6mlXyr1mjije+UbbD/A49HRA0gEMwEhkldufG5yZ2hmTE0rJ5HPLMzzeUL/DLUV6cisNkNKX920a1b8uoerePKpXIqrSyRLOXVqttabVaFgVUUqRm9lcTI5lUz7XvUzYUUtsD98vpP/QaftMwdGD389rZ81GlEknt+EmjjKxDDfMWqGP5OWpfsVK1bR1F6eMxDUPxzZuV2tejdG+v0n1BpXqDSvf2KjN8cGM+ORwv7et48b28/L6meMw2zTExl0PP1vs06XTojOGomiaSh72W4TI19A9hmXap7jt+2VP2Kc8xs1kZ0ajkdMpeUfHK0PSiU8Kl7drQ/kGd0ftT1Y/vmOKe7XKf9UkZY3uV7nroZY+9+NMpvk8z/J7N6FrTnj/FtV7xszST86f7+jO4zxk//xlca8b3OcW1Znz+oa+Ve+jF/+HYvmcv/dm28Gdmqnuc6X1a+jPz8i9/hN+/6a734u/fUT3nmVxrhvdZpJ8ZY2JC6d5epfqCSh/ol9LpwjHOujqVNDfLs2SJfKuvkrujQziIoAEchmmYSh+IKdEZUrwzpHQwJtkkV3OFvPnxua7G8qJUHLJZQwN7xrRva67aER6YlN1hU8NcX6Ha4asrTjP7q0G6r0/dl18hz9KlavnP707bhB2b2K3169+jQNUbZQtfpn2bnlXPlk1KxeMq9wfUflYudLQuPVMl3tKi37uRSCjd16dUb68y/f0ys0bugRf/yn7Fr+9DP/aSX/MvPsU01T0Q1J+3Pqsyj1dvPPM8+corD3stU6Z6a3+hsbJdmhd8vzypWVPem5nJKLJunYzJSfmvveYVTZAvvrd4yqHH97Srwp3UG9r2q/BP6mXXzSYqlQl1yFWzU/aSySme59TP+WU3oEMeOJPv3yHu7XDXfcX/cqe6txlc65X3NoPnPM3PzIyudRT3WdznfKTXmubeZvo9m+Ixc4qfnxP+/XvZ+S+9zxlca5rHZnStGd7blNea4fnF/Jmxeb0qaW4+WHVuaZGruVmupqYp9wFCDkEDOELZ8VSuoXxnfnxuMit7hUue+fmG8nk+2T3FqThER+Lq2ZqrdvTtDCubMVRZ41Hrshq1La1W43yfnEVoZj+Vxf70Z/X+7d+q5mMf06zrpt+gb2DgYW3b/km1tf2jOtpvkJHNqq9zu7o2rlfXpg0KHwjK4XSqadFSdZy1Uh0rzpG/4dTsD8hm0vrDPXdr068e0YLXXKCLP/qJGQUo0zTU1X2H9u27S0sWf1P19e+a9viBm29RZN263BK2ZUunPM7IGnro9ucUGZzUVTetVFnV1FNZhu/eKiOeUd0/Lj/s/QIAThyCBnAMzKyh5L5oLnR0hpQZiksOm9xtlQcbymu8Rak4pFNZ9XWGC9WOWDgpZ4ldzQsDal1arbZl1SovUjP7qWbku9/V8O13qPk/vqOKN06/QdK+ff+hvV23KRA4X0sWf/Mlo1ojA/25PTs2rldw+xZlMxn5GxrVnl9i1bxo6WH7Gk60WDikLb97TM//9teaHBvThe//sJZfctmMfkZTqZC2bf+UQqE/aU7Hp9TW9g/THj/2yC904J/+SfVf/hf5r7562mP/8vO92vT4fr37k8vVOM2o2sxIXAO3bpD/yvkqO7vusPcMADhxCBqAhTKhRCF0JPZGpIwpR8BT2LPD3V4lm6sIDeWmqdCBiXy1Y0QDXVGZhqnqpnK1Lsv1dtS1V8p+mo7PNQ1DwX/8uCaffVbt969TyezZ0x4/OvpHbdv+SdntHi1bepeqqpa/4ph0IqGerZvVvXG9ujatVyw0KpfHq9ZlZxb27SgPVBfpGR0Z0zQV3LFVz/3mUe3561OyO51adP6FWvHWd6hmdtuMrjE29py2bP24DCOhJYu/ddgd1ZN79qj7qtWquOgiNf77v00bZLo3D+vR/9ii17x3jlZc3DrtdSOP7NXkpiE13HheUf4tAQCsQ9AAisRIZZXcG8lPsgorO5aUzWWXe67vYLVjmuUhxyIxkc6Pzx1Vz7ZRJWJpucucmr0419fRuqRanvKT+513q2WjUXVfcaXspaVqW3uv7N7pN0tMJA5oy9brND6+VfPm3qjm5vdP+WLZNE0N93Sre9MGdW3aoP5dnTJNQ7Vtc9R+1jnqWHGO6ufOl91+fJe1JScntf2Pv9Pm3zyq0eB++Rubtfzit2vx698kT1n5jK5hmqaCwf9fu/d8XRUVS7Vs6Z2H3UndmJhQ91WrZbPb1PaTn8heOvWSrLHhuNZ9fb0a5/n0tr9fNm0gSeyJaOSHW1T5llZVvmn6sAgAOPEIGsBxYJqmMoOTuT07OkNK7Y9KhuSqL8uHDr9KZlcWpaHcMEwN7YsWqh0jvTHZbFJde5Va8w3lNc3lp0VDeaKzU/uuXqPKSy5Rwze+ftjnbBgp7dnzb+oN/ki1tZdq0cKvyek8/Av0+HhU+zZvVNfG9dq3eaMSsXF5KyrVtvxsdZx1jtrOPFue8pm90D8awz3d2vz4o9r+5O+VSac0d+UqLb/4UrUsOeOI/p4zmZg6O2/S4NAv1NL8Qc2d+9nD7qBumqYOfPozij3xhNruXzftBJZMOquf/X8blZxM66rPr5R7mjG12bGkBr+9Sa76MtV8aCnjngHgFEDQAE4AYzL90vG5kxnZS51yz/fLuyAg93y/HGXFqThMRJLq2Taqni2j6t0RUjqZVZnPnat0LK1W80K/SorUzH4yGHv4YR3458/OqG/gBYNDj2rHjs/J7a7XsqV3qbx86t2qX84wsurfvUvd+d6O4Z5u2Wx21c2ZK39Dk6pq61VVWydfbb2q6upV7g/MaM8M0zAUC4c0NjigyNCAxoYGNTY0oNHgfg1171WZP6AzLrpEyy66RBWBmhnf7wtisV3asvXjSiYHtGjh11VXd+mMzgvde68Gb75FTd+8TZVvf/u0x/7+x53a+ZcBXf7PZ2vW7IopjzOzhoa/v0XZUEK1151VtNHSAABrETSAE8w0TKWC44XNAtMHJiSbVDK7Up6FuX07XA1lRak4ZNOGDuyJqGfLqPZtHdHYUFx2p01N8/2F4OGrLf4o1+Nt4OZbFF63Ts3fvlMVF144o3MmJrq0Zes/KB4PatHCrx522tJUxkdH1L1pg/o6tymSDwcT4VDhcYfTqcpZdaqqq1dVbb18tXUq8wc0EQ4Vjh8bHFB0eFDZTKZwXpk/UDi+4+zzNHflKjmcRxcYBwYe0o7Om+T1NmvZ0u+orGxmc+Fjf/iDej/+CflXr1b9F26a9tjOp/v1vz/aoTf+zUItft30S7Eij3Yp9qcDmvXRM+RurZz2WADAyYOgAZxkstGkEp1hxXeGlNwdkZnKylFZkltitSAg91yf7O7irPWPDE7m+jq2jqhvd0RGxpSvrjQXOpZVq3GuTw7nqd+Aa6ZSCl5/g2K//72q//6jmvWJT0y7x8YLstlJde78ogYGHlRT0zWaN/cLcjiOvc8mnUoqOjSUCxH5j8jgoKJDA4oMDSqdiMvl8cpXW6fK2nr56urylZDcR2VtrVwlx34fhpHUrt1fVV/fj1Vf924tXHiLHI4ZjLzNZjV8110a/Y/vqvzCC9V85x2yTTNbfrQvpvu/sUFzz6nVm96/aNoQHd86otF7dqjqsg5VnH9qjhIGgNMVQQM4iZkZQ8nusVy1Y2dYmZH8+NyOKnkWBuRdGJCzevqm5qOVSmQU7AyrZ8uIeraOamIsJZfboZZFgUJvx3R7HZzsTMPQ6Pd/oOE77lDpueeq6bZb5aw+/JQo0zR14MB92rnrZpWXz9ecjs8oEHidbLbiBDDTNAtBo1h9NKZpKBR+Snv33qpYbKfmz/+imhrXzOjrZUZH1feZz2jymb9q1vXXq/pvPzLt0q9UPKN139ggh9Ouyz97tlwlUwe8zEhcg9/eJM98vwLXLDwt+ogA4NWEoAGcQtIj8XzoCCnZNSZlTTlrvIWGcndblWxFqDiYpqmRYEw9W3LVjoHuqGRKs2ZXFJZY1bZVyn4KNuhOPP20+j79GdkcDjXd/i2Vrlgxo/Oi0S3a0XmjYrEd8npb1dx0rRoaLpfL5SvuDVsonR5Tf/8DCvb9WPH4PpWXL9SihV9XZeUZMzp/cuMm9X3ykzIzGTXddqvKVq2a9njTNPXY97dp//ZRXXXjSvnqpq6WmOmshr6zWWbaUO3HlxdtE0wAQPEQNIBTlJHMKrknXFhmZURTsrkd8rwwPndBQI7K4jTNxmMp7d+WG5+7f9uokpMZecpdal2SW2I1e3Fg2glCJ5v04JD6PvUpxZ97TrWf+YwCH/zAjN49N01TY2PPKtj3Yw0N/SrX5F33DjU3vU+VlcuOw50fnWh0i4J9P9bg4CMyzaxqa9+q5qb3qarq7Bk/79B//7eGbr1N3jPPVNM3b5Or7vCb523+Xa/+9NPdeutHl2rOWbXTHhu6f5fim4dV+4/L5aovm/FzAwCcPAgawKuAaZpK908UGspTveOSKbmayuVZ4JdnYUAlzRXFGZ+bNTTQHS1UO0b7JmSz29Qwp6pQ7Qg0FqeZ3UpmOq2hb92u0N13q+Itb1HD174qR8XUk5BeLpkaUf+Bderru1eJ5AFVVp6p5qZrVVt7qRyOE79Dezab0NDQLxXs+7Gi0c1yuxvU3HSNGhqvkrtk5lOpsrGY+j9/k8Z/8xsFPvQh1X7yBtlmsBv6QNeYfn7rRi17U7POv2LetMdOrB9Q+IHd7P4NAKc4ggbwKpSdSCuxK5wLHrvCMuMZ2ctc8szPhQ7PfL/s3uIsRRkPJfIN5aMKdoaUSRmqCHgKDeVNC/zTrss/0aKPP67+Gz8vR3VAzXfeKc+CBUd0vmlmNTL6hPqC92g09KScTp8aG69QU+M1Ki2dftfrYpic7FHfgXt14MD9ymQiCgQuUHPT+1RT80bZbEf295DYuUt9112nzOioGr7+NVW+5S0zOi86EtfPb9uoioBH7/rUWXJMs0N96kBMQ9/ZrLIVtfK/d/pAAgA4uRE0gFc5M2sq1Rs9OD53YFKySyWtlfLml1g560qLUnHIpLPq2xUpVDuiIwk5XHY1zferLd9QXllTnGb2Y5Hq6VHw+huU6u5W/b/8i3zvfc9RXWdycp/6+u7Vgf77lcmMqTrwetXWvl1eb6u83ha53XWWNpGbpqFkclDxeK/i8R4NDT2aDztVamy4Qk1N16i0tO2orh35+YMa+Nd/VUlbm5rvuF0lrTMLTd3Pj+h/f7Rd7lKn3vPps1Xun3qAgJHIaPDbm2R3O1T7seWyuU79CWcAcDojaACnmUwkUdgoMLknIjNtyOFz5xvKA3J3VMlehIqDaZqKDE5qXz509O8ek2GY8jeUqS1f7aifUzXtu93Hk5FIaOCWWzT2wM/ku/IK1d10k+yeo1sClc0mNDj0C/X13atodHPhv9tsJfJ6m+T1tMjjbZHX2yKvZ7a83mZ5vbPldL5y6VYmM54PEr2KJ/YrHu9VIt6reKJX8XifTDNVOLay4gw1NV+rutrLjnr5lpFMavArX1Fk3f2qeu97Vf+lL87o+2BkDT3zcLc2Ptaj9jNrdNEHFk3bt2Oapkb/Z4eSXRHVfeKsok1TAwAcPwQN4DRmpg0luyKK58fnZkMJyWmXZ05VoaHcGShOf0EynlFwR0j78sus4tGUSrxOtSwKqG1ZtWYvqVZpkZrZj0TkgQc0cPMtKpnToebbb1fJ7NnHdL1sNqFEok/x+H7FE71KxIOFz+PxXmWzE4VjnU5fvvJRq2RySPF4rzKZSOFxh6MsH05eHFRa5PXOlsfTdMy9IaneXgWvv16pvV2q/9IX5bv88hmdNzGW1OM/3KYDe8a06l0dOuvi2YetmI0/GdTYo92qfv9ieRcffswwAODkR9AAICn3jnJmOF5YYpXcF5UMU87a0vyeHX6VtFbKVoSKg2mYGu4dz1U7toxoqGdcskm1rZWFJVazWorTzD4TiR07FLz+BmX6+1XxtrfKv2aNvMuXW77czDRNpdPhfOjYXwghydSQ3CW1uQCRr3Z4PS1yufxFuYfE5s0Kr12r6KO/krOhQc133C7PokUzOv/A7rAe+/42SdLFH1mipvn+w56T7B7T8PefV8UFzap6W/sx3T8A4ORB0ABwSEYio8TucGGZlRFLy+ZxyDMv31C+wC9HeXEqDpPRlPZvG9W+LaPq3T6qVCKr0soSzV5arbal1WpZFFBJkZrZp5KNxRT56TqF77tP6f375V60SP41V6vqsstkLz387tknO2NyUmO//KXCa9cquX2HXC0t8l99tXyrr5KjvPyw55umqU2P79fTD3apcW6V3vLhJTPa0DE7ntLgnZvkrPFq1keWyeY4uaeTAQBmjqAB4LBMw1T6QEyJzpDinSGlgzHJJrmaK+TNj891NZYXpeKQzRoa2DOWW2K1ZUThgUnZHTY1zPWpdWm12pZVy1ekZvZDMQ1DE3/+s8L3rlXsiSdkLy9X1bvfLf+aq+Xu6Dgu92ClZFe3wvet1djPH5QRi6n8wgvlv2aNyl73uml3+H7JNSbT+t//3qHuzSNacUmrzntnu+wzqHyZ6axG/mub0sOTqrtuhRwVJ36pHADAOgQNAEcsO55SYmeu0pHYFZaZzMpe4ZJnfq6h3DPPV7SdnKMjcfVszVU7+naFlU0bqqzxqHVZjdqWVqtxvk9O1/EZn5sK9iny058qcv/9yoZCKl21Sv41a1Rx0Ztkc568O1mbmYzGf/c7hdeu1eRfnpYjEJDviivku+oqlTQ3HdG1hveP69ff26LkZEYXfXCx2s+Y2Z4cmZG4Rn+8Q5mRuGr+zxK5O3xH8UwAACczggaAY2JmDSX3RXOhozOkzFBcctjkbquUZ0EueDhneYtScUinsurrDOeCx9YRxUJJOUvsal4YKGwWWFGkZvYXM1IpjT/2G4XXrlV840Y5a2vlW32VfFdcKVfd9DtgH0/poSFF1q1T5KfrlBkclHfFilwwuuRi2UuOrJpgmqZ2PNWvJ9fuUqCxTJf87VJVzZrZpKj41hGF1u2So6JEgWsXqaSBnb8B4NWIoAHAUplQohA6EnsjUsaUI+DJ7dmxMCB3e1VR9kcwTVOhAxP5aseIBrqiMg1T1U3lal2W6+2oa6+c0ZKeY5Ho7FR47X0ae+QRmamUKt78ZvnXrFHpynNmvBTJSqZhaHL9BoXXrtX4b38rW0mJqt7xDvnXXC3PwoVHdc10Kqsn1+5U518GtOSCRp1/1bwZVZHMrKGxX+9T7I998i6tlv+K+UWrfAEATjyCBoCiMVJZJfdG8pOswsqOJWVz2eWe6yvs2+GcQcPw0UhMpNW7I5TbLHDbqBKxtNxlTs1enKt0tC6plqd86n0djlV2fFxjDz2s8Nq1Su3dK5vLJVdTk1wtLXI1N6mkuUWulmaVNDfL1dIiR8Ur98w4kq+V7u1VKhhUujeoVLBX6WCf0r29Svf1yUynVTJnjvxr1qjqXe88pq8VGZzUr7+3VWNDk7rw2gVasKphZvcYTWr03k6l9o+r6u3tKn9d43HrqwEAnBgEDQDHhWmaygxO5vbs6AwptT8qGZKrviwfOvwqaaksytQhwzA1tC9aqHaM9MZks0l17VVqzY/PrWkuL8oLX9M0Fd+4UYkdnUoH8yGgN6h0b6+MycnCcY6qKrnyoaOkpVmupuZcEGlpkXPWLGWGh5XqzZ/bF1Qqf410MKjs2FjhOvbS0lyYaWlWSVPuep5FC+VdseKYnl8qnlHn0/16+qEulVW59da/W6rqpsNPo5KkxJ6IQvd1Snabqq9ZKHdb1VHfBwDg1EHQAHBCGJPpl47PnczIXuqUe55f3oUBuef75SgrTsVhIpJUz7ZR9WwZVe+OkNLJrMp87kJfR/NCv0qKvKTHNE1lI5FcJeJQAWJgQMpmX3mi3S5XQ8MhA4mrpUUOn8/SwDTaF9OWP/Rp5zMDyqYNLTi3Thesnj+j8cKmYWr8D72K/qZH7jk+Ba5eULSRyACAkw9BA8AJZxqmUsHxwmaB6QMTkk0qmV0pz0K/PAsCcjWUFaXikE0bOrAnUlhiFRmclN1pU9M8n1qX1qh1WbV8tcd/nwwznVZ6YCAXOoaG5KqtzVUq6utlcxVvyZckZTOG9m4a0tY/9Kl/z5hKq0q05PxGLT6/SeX+mS11MybTCv10lxKdIVW8qUWVb249YRsuAgBODIIGgJNONppUojOs+M6QkrsjMlNZOSpL8hsFBuSe65PdXZwRtpGhyVzo2Dqivt0RGRlTvrrSXLVjWbUa5/rkcB7/pu7jYTyU0LYn+7T9zwcUH0+raYFPS1/frPblNXIcQRN9Kjiu0Xt2yExl5V+9QN4FgSLeNQDgZEXQAHBSMzOGkt1juWrHzrAyI/nxuR1V8iwIyLswIGfNzMaqHqlUIqNgfnxuz5YRTYyl5HI71LIoUOjtmMnu1ycz0zDVuyOkLX/oU8+WEbncDi14TYOWXtCkQOORjZ01TVMTz/Qr8kiXXA1lqr52kZz+4o8XBgCcnAgaAE4p6ZF4PnSElOwak7KmnDXeQkO5u61KtiJUHEzT1Egwlq92jGqwe0ymKc2aXVHo7ahtq5T9FFkelJhIa8dT/dr6ZJ+iw3FVN5Vr2YVNmrey7qj6U4xUVpGf7dbkc8Mqe02DfJd2FOXvAQBw6iBoADhlGcmsknvChWVWRjQlW4lD7nm+3L4dCwJyVBan+TgeS2n/tpB6to5q/7ZRJScz8pS71Lokt8Rq9uKA3KXF7aU4GoP7otr6h6B2bxiSaZias6JWy97QpPo5VUfdA5MemtToPTuUjSTkf+88lS4/eTYpBACcOAQNAK8Kpmkq3T9RaChP9Y5LpuRqKpdngV+ehQGVNFcUpSHZyBoa6I4Wqh2jfTHZ7DbVd1SqurFcFTUeVdV4VVnjVWWN57gEkORkWtGRhKIjcY2NxBUdSWhoX1TD+8dVHnBr6eubtOi1jSo9xiA2uXlY4Qd2yeFzq/p9i+U6AY3zAICTE0EDwKtSdiKtxK5wLnjsCsuMZ2Qvc8ozP7dRoGe+X/YZjGg9GuOhhHq2jiq4I6TIUFzRkbjSyYOjat2lzkLoqMwHkKoarypqPKoIeGbUbJ7NGBoP5YLEC4HixZ8nJzOFY11uhyprvPLVlWrBqnq1Lq0+piVeZjqryedHFHu6X+necXnPnCX/e+cVrUEfAHBqImgAeNUzs6ZSvdGD43MHJiW7VNJaebChvK60aDtVm6apxERa0eF8IBiNKzoc19hIQuOjcY2HkjKN3K9im00q93teEkJKq0o0OZZ6SZiIhRN64be3zW5TRcCtimqvqmo8qpzlVWV1voIyyyNPmcuS55YZjSv2TL8mNwzKmMzIPd+v8lUN8iwKsMs3AOAVCBoATjuZSKKwUWByT0Rm2pDD5843lAfk7qiSveT4vTufzRqKhZKFAPLyCkViIi1Pmesl4ePFn5cH3Ec0fvZImIapRGdIsaf7ldwVls3rVNk5dSo7r0GuIk37AgC8OhA0AJzWzLShZFdE8fz43GwoITnt8sypKuzb4Qyc2BGt2Yxx3PfuyMZSmlg/qIln+pWNJOVqLlf5qkaVnlkjm4slUgCAwyNoAECeaZrKDMcLS6yS+6KSYcpZWyrPwoC8C/0qaa2UrUjVgxPNNE2leqKKPd2v+JYRyWZT6ZmzVL6qQSUtFSf69gAApxiCBgBMwUhklNgdLiyzMmJp2TwOeeb589UOvxzlxRmfezwZyawmnxvSxNP9SvdPyFntUdmqBpWdXSf7STiiFwBwaiBoAMAMmIap9IGYEp0hxTtDSgdjkk1yNVfImx+f62osL8r43GJJD01q4ul+TTw7KDOVlWdRtcpXNcg913dKPQ8AwMmJoAEARyE7nlJiZ67SkdgVlpnMyl7hyo3PneeTc1apnAFP0UboHg0jnlEmlFB6cEKTGwaV7BqTvdylspX1KjuvXk7fie1FAQC8uhA0AOAYmVlDyX3RXOjoDCkzFC88ZvM45az2yBnwyOHP/fnCh8Pnls3CJm8zYygbSSoTSigTTigTSigbyv2ZCSVkxg/urVHSVqny1zTIu6TG0nsAAOAFBA0AsFh2In3wBX74pS/2s5GEZOQPtEmOKvdLQ0j1wc/t5S/d/8I0TRmx9MFrjr70+tmxpPTCb3S75PC9KNQEPHL6D37uKKP3AgBQXAQNADiOzKyp7FhSmVBc2VC++hCK54JCOCFj4mDVweay50JBZYmy0ZSyoYTMtFF43F7mfFGVxCtHwH3w8yq3bA76LAAAJw5BAwBOIkYiUwgdhSpINCVHZUkuRPjz1YmAR3bPydP/AQDAyxE0AAAAAFiODkAAAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACxH0AAAAABgOYIGAAAAAMsRNAAAAABYjqABAAAAwHIEDQAAAACWI2gAAAAAsBxBAwAAAIDlCBoAAAAALEfQAAAAAGA5ggYAAAAAyxE0AAAAAFiOoAEAAADAcgQNAAAAAJYjaAAAAACwHEEDAAAAgOUIGgAAAAAsR9AAAAAAYDmCBgAAAADLETQAAAAAWI6gAQAAAMByBA0AAAAAliNoAAAAALAcQQMAAACA5QgaAAAAACz3/wDHjd1z/3XpPAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(FNJVNeighborhood.collapse_edges(),with_edge_labels=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While the Books Hypergraph indicated many relationships shared by FN and JV it does not indicate if FN and JV actually encountered each other alone or who they were with. The Scenes Hypergraph drills down in the hierarchy of relationships to those core scenes where actual meetings took place and who else was involved." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hypergraph of Scenes in Volume 1 Book 1" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:23.457406Z", + "start_time": "2024-05-16T05:24:23.447482Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:26.035792Z", + "iopub.status.busy": "2024-04-03T17:19:26.035715Z", + "iopub.status.idle": "2024-04-03T17:19:26.043525Z", + "shell.execute_reply": "2024-04-03T17:19:26.043174Z", + "shell.execute_reply.started": "2024-04-03T17:19:26.035785Z" + } + }, + "outputs": [], + "source": [ + "df = scenes.loc[scenes.Volume==1].loc[scenes.Book == 1]\n", + "edges = defaultdict(list)\n", + "for row in df.itertuples():\n", + " edges[row.Chapter].append(row.Characters)\n", + "Hdf = hnx.Hypergraph(edges)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:24:23.559991Z", + "start_time": "2024-05-16T05:24:23.458335Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:19:26.044151Z", + "iopub.status.busy": "2024-04-03T17:19:26.044061Z", + "iopub.status.idle": "2024-04-03T17:19:26.120672Z", + "shell.execute_reply": "2024-04-03T17:19:26.120340Z", + "shell.execute_reply.started": "2024-04-03T17:19:26.044143Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[10,10])\n", + "hnx.draw(Hdf.collapse_nodes_and_edges(),with_node_counts=True,with_edge_counts=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/basic/Basic 4 - LesMis Visualizations-BookTour.ipynb b/tutorials/basic/Basic 4 - LesMis Visualizations-BookTour.ipynb new file mode 100644 index 00000000..f444bc93 --- /dev/null +++ b/tutorials/basic/Basic 4 - LesMis Visualizations-BookTour.ipynb @@ -0,0 +1,666 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:22:01.745513Z", + "start_time": "2024-05-16T05:22:01.743260Z" + } + }, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment to run in Colab" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:45.550846Z", + "start_time": "2024-05-16T05:43:43.190940Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:14.730797Z", + "iopub.status.busy": "2024-04-03T17:20:14.730676Z", + "iopub.status.idle": "2024-04-03T17:20:17.575119Z", + "shell.execute_reply": "2024-04-03T17:20:17.574804Z", + "shell.execute_reply.started": "2024-04-03T17:20:14.730788Z" + } + }, + "outputs": [], + "source": [ + "import hypernetx as hnx\n", + "import matplotlib.pyplot as plt\n", + "import warnings \n", + "warnings.simplefilter('ignore')\n", + "\n", + "from networkx.drawing import spring_layout" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Construction\n", + "We start with a list of scenes, and construct a hypergraph by converting this to a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:47.202415Z", + "start_time": "2024-05-16T05:43:47.172363Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:17.576453Z", + "iopub.status.busy": "2024-04-03T17:20:17.576317Z", + "iopub.status.idle": "2024-04-03T17:20:17.587471Z", + "shell.execute_reply": "2024-04-03T17:20:17.587178Z", + "shell.execute_reply.started": "2024-04-03T17:20:17.576446Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: ['FN', 'TH'],\n", + " 1: ['TH', 'JV'],\n", + " 2: ['BM', 'FN', 'JA'],\n", + " 3: ['JV', 'JU', 'CH', 'BM'],\n", + " 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", + " 5: ['TH', 'GP'],\n", + " 6: ['GP', 'MP'],\n", + " 7: ['MA', 'GP']}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scenes = [\n", + " ('FN', 'TH'),\n", + " ('TH', 'JV'),\n", + " ('BM', 'FN', 'JA'),\n", + " ('JV', 'JU', 'CH', 'BM'),\n", + " ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", + " ('TH', 'GP'),\n", + " ('GP', 'MP'),\n", + " ('MA', 'GP')\n", + "]\n", + "\n", + "H = hnx.Hypergraph(dict(enumerate(scenes)))\n", + "H.edges.incidence_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:50.453756Z", + "start_time": "2024-05-16T05:43:50.423377Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:17.588721Z", + "iopub.status.busy": "2024-04-03T17:20:17.588653Z", + "iopub.status.idle": "2024-04-03T17:20:17.599092Z", + "shell.execute_reply": "2024-04-03T17:20:17.598850Z", + "shell.execute_reply.started": "2024-04-03T17:20:17.588713Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'BM': [2, 3, 4],\n", + " 'BR': [4],\n", + " 'CC': [4],\n", + " 'CH': [3, 4],\n", + " 'CN': [4],\n", + " 'FN': [0, 2],\n", + " 'GP': [5, 6, 7],\n", + " 'JA': [2],\n", + " 'JU': [3, 4],\n", + " 'JV': [1, 3, 4],\n", + " 'MA': [7],\n", + " 'MP': [6],\n", + " 'TH': [0, 1, 5]}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.dual().edges.incidence_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualization\n", + "Use the default drawing tool to visualize `H` and its dual." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:52.091125Z", + "start_time": "2024-05-16T05:43:51.767767Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:17.599551Z", + "iopub.status.busy": "2024-04-03T17:20:17.599470Z", + "iopub.status.idle": "2024-04-03T17:20:17.813173Z", + "shell.execute_reply": "2024-04-03T17:20:17.808932Z", + "shell.execute_reply.started": "2024-04-03T17:20:17.599542Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(16, 8))\n", + "hnx.draw(H, ax=plt.subplot(121))\n", + "hnx.draw(H.dual(), ax=plt.subplot(122))\n", + "plt.title('Dual');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Book Tours\n", + "A book tour is a `Series` of `Hypergraph`'s from Les Miserables indexed hierarchically by Volume and Book." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:54.330457Z", + "start_time": "2024-05-16T05:43:54.057505Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:17.817277Z", + "iopub.status.busy": "2024-04-03T17:20:17.816613Z", + "iopub.status.idle": "2024-04-03T17:20:18.029081Z", + "shell.execute_reply": "2024-04-03T17:20:18.028830Z", + "shell.execute_reply.started": "2024-04-03T17:20:17.817239Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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VolumeBookChapterSceneStepCharacters
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.....................
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" + ], + "text/plain": [ + " Volume Book Chapter Scene Step Characters\n", + "0 1 1 1 0 0 MY\n", + "1 1 1 1 0 0 NP\n", + "2 1 1 1 1 1 MY\n", + "3 1 1 1 1 1 MB\n", + "4 1 1 2 0 2 MY\n", + ".. ... ... ... ... ... ...\n", + "857 5 9 4 1 400 MA\n", + "858 5 9 4 1 400 CO\n", + "859 5 9 5 0 401 JV\n", + "860 5 9 5 0 401 CO\n", + "861 5 9 5 0 401 MA\n", + "\n", + "[862 rows x 6 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lesmis = hnx.LesMis()\n", + "lesmis.df_scenes" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:55.564301Z", + "start_time": "2024-05-16T05:43:55.542022Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:18.029621Z", + "iopub.status.busy": "2024-04-03T17:20:18.029543Z", + "iopub.status.idle": "2024-04-03T17:20:18.034648Z", + "shell.execute_reply": "2024-04-03T17:20:18.034188Z", + "shell.execute_reply.started": "2024-04-03T17:20:18.029613Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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VolumeBook
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............
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" + ], + "text/plain": [ + " Chapter Characters\n", + "Volume Book \n", + "1 1 1 MY\n", + " 1 1 NP\n", + " 1 1 MY\n", + " 1 1 MB\n", + " 1 2 MY\n", + "... ... ...\n", + "5 9 4 MA\n", + " 9 4 CO\n", + " 9 5 JV\n", + " 9 5 CO\n", + " 9 5 MA\n", + "\n", + "[862 rows x 2 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lesmis.df_scenes.set_index(['Volume','Book'])[['Chapter','Characters']]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:56.217135Z", + "start_time": "2024-05-16T05:43:56.209429Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:18.035318Z", + "iopub.status.busy": "2024-04-03T17:20:18.035206Z", + "iopub.status.idle": "2024-04-03T17:20:18.038314Z", + "shell.execute_reply": "2024-04-03T17:20:18.038011Z", + "shell.execute_reply.started": "2024-04-03T17:20:18.035310Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Volume Book\n", + "1 1 (NP, MY, MB, ME, CL, GE, MC, CV, SN, GG)\n", + " 2 (JL, MT, JV, MR, MB, MY, ME, IS, PG)\n", + " 3 (LI, BL, FA, FT, DA, FN, ZE, FV)\n", + " 4 (TM, TH, FN, CO)\n", + " 5 (JV, MY, JA, FF, VI, FN, MT, BM)\n", + "dtype: object" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "book_tour_data = lesmis.book_tour_data\n", + "book_tour_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Book Tour Visualization (small multiples)\n", + "Draw one hypergraph for each of the `{Volume x Book}` pairs in Les Miserables. Volumes are rows and books are columns. Note an empty square in the grid indicates the volume either didn't contain the book with that index or the book was purely expository with no character interactions. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:43:59.869565Z", + "start_time": "2024-05-16T05:43:58.413567Z" + }, + "execution": { + "iopub.execute_input": "2024-04-03T17:20:18.039039Z", + "iopub.status.busy": "2024-04-03T17:20:18.038919Z", + "iopub.status.idle": "2024-04-03T17:20:19.222546Z", + "shell.execute_reply": "2024-04-03T17:20:19.222257Z", + "shell.execute_reply.started": "2024-04-03T17:20:18.039029Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for t, Ht, ax in hnx.book_tour(book_tour_data):\n", + " hnx.draw(Ht, layout=spring_layout, ax=ax, with_edge_counts=True)\n", + " ax.axis('on')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T05:45:41.387551Z", + "start_time": "2024-05-16T05:45:38.794506Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for t, Ht, ax in hnx.book_tour(book_tour_data):\n", + " Ht = Ht.collapse_nodes_and_edges(use_counts=True)\n", + " hnx.draw(Ht, layout=spring_layout, ax=ax)\n", + " ax.axis('on')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "hnx", + "language": "python", + "name": "hnx" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/basic/Basic 5 - HNX attributed hypergraph.ipynb b/tutorials/basic/Basic 5 - HNX attributed hypergraph.ipynb new file mode 100644 index 00000000..254fbfa1 --- /dev/null +++ b/tutorials/basic/Basic 5 - HNX attributed hypergraph.ipynb @@ -0,0 +1,1295 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "5c15d19c", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment if running in Colab" + ] + }, + { + "cell_type": "markdown", + "id": "9d435968", + "metadata": { + "toc": true + }, + "source": [ + "

Table of Contents

\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "7c78d854-302c-4632-bc28-02fe7441e943", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:00.096235Z", + "start_time": "2024-05-16T15:49:57.403440Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import matplotlib.gridspec as gridspec\n", + "import hypernetx as hnx\n", + "import warnings\n", + "warnings.simplefilter('ignore')\n", + "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n", + "#set plotting parameters\n", + "TextSize = 15" + ] + }, + { + "cell_type": "markdown", + "id": "75e2caf6", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "a848673d", + "metadata": {}, + "source": [ + "# Adding attributes on creation\n", + "\n", + "An attributed hypergraph can be constructed from creation using many common data structures for representing hypergraphs. To name a few you can use:\n", + "* Dictionary of dictionaries\n", + "* Dictionary of iterables\n", + "* List of lists\n", + "* Pandas Dataframe\n", + "\n", + "HNX will automatically detect the datastructure used and create the hypergraph object. \n", + "\n", + "We will now do a demo using the dictionary object that represents a set of 4 meetings involving 6 people with topics discussed by individuals during meetings as incidences attributes and intervals representing when meetings occured. Details on this example are provided in https://arxiv.org/abs/2405.04559." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "346ddbe9", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:02.208191Z", + "start_time": "2024-05-16T15:50:02.054618Z" + }, + "code_folding": [ + 32 + ] + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#node as people and hyperedges as meetings with topic and interval attributes.\n", + "\n", + "NS = 'P' # P = Person\n", + "ES = 'M' # M = Meeting\n", + "\n", + "HG = {\n", + " ES+'1': {NS+'4': {'topics': ['A', 'B']}, \n", + " NS+'5': {'topics': ['A', 'C']}},\n", + " \n", + " ES+'2': {NS+'5':{'topics':['E', 'F']}, \n", + " NS+'6':{'topics':['F']}},\n", + " \n", + " ES+'3': {NS+'2':{'topics':['C', 'D']}, \n", + " NS+'3':{'topics':['B', 'C', 'D']}, \n", + " NS+'4':{'topics':['D']}},\n", + " \n", + " ES+'4': {NS+'1': {'topics':['C']}, \n", + " NS+'2': {'topics':['C']}, \n", + " NS+'3': {'topics':['C']}}\n", + " }\n", + "\n", + "edge_attributes = {\n", + " ES+'1': {'interval': [0, 1]},\n", + " ES+'2': {'interval': [2, 6]},\n", + " ES+'3': {'interval': [3, 5]},\n", + " ES+'4': {'interval': [7, 9]},\n", + " }\n", + "\n", + "node_attributes = {\n", + " NS+'1': {'color': 'blue'},\n", + " NS+'2': {'color': 'red'},\n", + " NS+'3': {'color': 'green'},\n", + " }\n", + "\n", + "\n", + "H = hnx.Hypergraph(HG, edge_properties = edge_attributes, node_properties = node_attributes)\n", + "\n", + "HG_pos = {\n", + " NS+'1': (0.0, 0.5),\n", + " NS+'2': (0.0, 0.0),\n", + " NS+'3': (0.5, 0.0),\n", + " NS+'4': (1.0, 0.0),\n", + " NS+'5': (1.0, 0.5),\n", + " NS+'6': (0.5, 0.5)}\n", + "\n", + "plt.figure(figsize = (4,4))\n", + "hnx.draw(H, pos = HG_pos)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "07d3c2cd", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:02.879505Z", + "start_time": "2024-05-16T15:50:02.851806Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " weight misc_properties\n", + "edges nodes \n", + "M1 P4 1 {'topics': ['A', 'B']}\n", + " P5 1 {'topics': ['A', 'C']}\n", + "M2 P5 1 {'topics': ['E', 'F']}\n", + " P6 1 {'topics': ['F']}\n", + "M3 P2 1 {'topics': ['C', 'D']}\n", + " P3 1 {'topics': ['B', 'C', 'D']}\n", + " P4 1 {'topics': ['D']}\n", + "M4 P1 1 {'topics': ['C']}\n", + " P2 1 {'topics': ['C']}\n", + " P3 1 {'topics': ['C']}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Accessing incidence dataframe for incidence properties\n", + "H.incidences.dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0ec3b015", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:04.508363Z", + "start_time": "2024-05-16T15:50:04.500614Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['A', 'B']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Accessing the attributes directly\n", + "incidence = ('M1', 'P4') #choose, for example, an incidence\n", + "H.incidences[incidence].topics #grab the topics attribute on that incidence" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "24373a81", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:05.023725Z", + "start_time": "2024-05-16T15:50:05.017105Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'topics': ['A', 'B'], 'weight': 1}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.get_properties(incidence, level = 2) #grab all properties for that incidence. Level = 2 is for incidences" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a9008617", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:05.533654Z", + "start_time": "2024-05-16T15:50:05.521128Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'topics': ['A', 'B'], 'weight': 1}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.incidences[incidence].properties #alternative use the properties key to grab all properties" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "68df3bfb", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:50:05.995386Z", + "start_time": "2024-05-16T15:50:05.984568Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0, 1]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.edges['M1'].interval #another example for edges grabbing the interval property" + ] + }, + { + "cell_type": "markdown", + "id": "caf8f5b5", + "metadata": {}, + "source": [ + "# Adding attributes post hypergraph creation \n", + "\n", + "Similar to NetworkX, we can also construct hypergraphs from \"scratch\" by starting with an empty hypergraph and adding incidences/hyperedges/nodes as well as attributes on them.\n", + "\n", + "Here we again create the same hypergraph as before modeling the meetings, but building it up from an empty hypergraph" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "96d3260a", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:51:09.659911Z", + "start_time": "2024-05-16T15:51:09.579497Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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\n", + "
" + ], + "text/plain": [ + " weight misc_properties\n", + "edges nodes \n", + "M1 P4 2.0 {'topics': {'A', 'B'}}" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#add a single incidence with attributes\n", + "H.add_incidence('M1', 'P4', weight = 2, topics = {'B', 'A'})\n", + "\n", + "plt.figure(figsize = (4,4))\n", + "hnx.draw(H, pos = HG_pos)\n", + "plt.show()\n", + "H.incidences.dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6ec1c229", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:51:18.819402Z", + "start_time": "2024-05-16T15:51:18.748072Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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\n", + "
" + ], + "text/plain": [ + " weight misc_properties\n", + "edges nodes \n", + "M1 P4 2.0 {'topics': {'A', 'B'}}\n", + " P5 1.0 {'topics': {'C', 'B'}}\n", + "M2 P5 1.0 {}\n", + " P6 1.0 {}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#addinging multiple incidences and then setting attributes after\n", + "H.add_incidences_from([('M1', 'P5'), ('M2', 'P5'), ('M2', 'P6')])\n", + "H.incidences[('M1', 'P5')].topics = {'B', 'C'}\n", + "\n", + "plt.figure(figsize = (4,4))\n", + "hnx.draw(H, pos = HG_pos)\n", + "plt.show()\n", + "H.incidences.dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "016e985c", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:51:21.361465Z", + "start_time": "2024-05-16T15:51:21.279070Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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M1P42.0{'topics': {'A', 'B'}}
P51.0{'topics': {'C', 'B'}}
M2P51.0{}
P61.0{}
M3P21.0{'topics': ['C', 'D']}
P31.0{'topics': ['B', 'C', 'D']}
P41.0{'topics': ['D']}
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" + ], + "text/plain": [ + " weight misc_properties\n", + "edges nodes \n", + "M1 P4 2.0 {'topics': {'A', 'B'}}\n", + " P5 1.0 {'topics': {'C', 'B'}}\n", + "M2 P5 1.0 {}\n", + " P6 1.0 {}\n", + "M3 P2 1.0 {'topics': ['C', 'D']}\n", + " P3 1.0 {'topics': ['B', 'C', 'D']}\n", + " P4 1.0 {'topics': ['D']}\n", + "M4 P1 1.0 {'topics': ['C']}\n", + " P2 1.0 {'topics': ['C']}\n", + " P3 1.0 {'topics': ['C']}\n", + " P6 1.0 {}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#adding hyperedges and nodes using a dictionary.\n", + "H.add_nodes_to_edges( {'M3': {'P2':{'topics':['C', 'D']}, \n", + " 'P3':{'topics':['B', 'C', 'D']}, \n", + " 'P4':{'topics':['D']}},\n", + " 'M4': {'P1': {'topics':['C']}, \n", + " 'P2': {'topics':['C']}, \n", + " 'P3': {'topics':['C']},\n", + " 'P6': {}}})\n", + "plt.figure(figsize = (4,4))\n", + "hnx.draw(H, pos = HG_pos)\n", + "plt.show()\n", + "H.incidences.dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "09ddb49d", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:51:23.049270Z", + "start_time": "2024-05-16T15:51:22.967533Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": false, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": true, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/basic/Basic 6 - Hypergraph Arithmetic.ipynb b/tutorials/basic/Basic 6 - Hypergraph Arithmetic.ipynb new file mode 100644 index 00000000..9c658ffd --- /dev/null +++ b/tutorials/basic/Basic 6 - Hypergraph Arithmetic.ipynb @@ -0,0 +1,459 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "b230670c", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment to run in Colab" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "25962906", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:07.392559Z", + "start_time": "2024-05-16T15:56:04.622904Z" + } + }, + "outputs": [], + "source": [ + "#importing and installing packages\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.gridspec as gridspec\n", + "import hypernetx as hnx\n", + "import warnings\n", + "warnings.simplefilter('ignore')\n", + "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n", + "#set plotting parameters\n", + "TextSize = 15" + ] + }, + { + "cell_type": "markdown", + "id": "58498f08", + "metadata": {}, + "source": [ + "# Operations on Hypergraphs\n", + "\n", + "Here we demonstrate some basic hypergraph arithmetic including addition, subtraction, union, and intersection." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "69691cfe", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:07.395730Z", + "start_time": "2024-05-16T15:56:07.393838Z" + } + }, + "outputs": [], + "source": [ + "#plotting parameters to color edges for comparing and position layout\n", + "colors = plt.rcParams['axes.prop_cycle'].by_key()['color'][:4]\n", + "edge_color_dict = {'M1':colors[0], 'M2': colors[1], 'M3':colors[2], 'M4':colors[3]}\n", + "\n", + "HG_pos = {\n", + " 'P1': (0.0, 0.5),\n", + " 'P2': (0.0, 0.0),\n", + " 'P3': (0.5, 0.0),\n", + " 'P4': (1.0, 0.0),\n", + " 'P5': (1.0, 0.5),\n", + " 'P6': (0.5, 0.5)}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2b8d89c5", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:08.249427Z", + "start_time": "2024-05-16T15:56:08.220469Z" + } + }, + "outputs": [], + "source": [ + "#we start by defining our two hypergraphs for comparing\n", + "\n", + "HG1 = {'M1': {'P4', 'P5'},\n", + " 'M2': {'P5', 'P6'},\n", + " 'M4': {'P1', 'P2'}}\n", + "H1 = hnx.Hypergraph(HG1)\n", + "\n", + "\n", + "HG2 = {'M1': {'P4', 'P5'},\n", + " 'M3': {'P2', 'P3', 'P4'},\n", + " 'M4': {'P1', 'P2', 'P3'}}\n", + "H2 = hnx.Hypergraph(HG2)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b421c392", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:10.212542Z", + "start_time": "2024-05-16T15:56:09.807203Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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1axYcDgdMJhMefvhhDBo0yNtPhajWOBSBN9cfwpDkWNzV/fJmgxjROQHhJh3WHch0W1fVe6XMxo0bcfr0adftmmsus7JD1AJHSYk4OuJWceTGvwh7QUGN97NkZIiTTz0tcpYvr7B84sSJAs4Oa0Kn04nmzZuLF198UdhsNlFSUiImTpwokpOThUajESNGjPDyswkwp3YJ8VIDIdb+3SuHq+61EUIIRVHErFmzRMuWLYVerxfx8fHilVde8cq5A81/Nx0WSc98KTYfzKrxPjaHQ8zZnCKmr9on8kusQpz8XYgVd4uJo2+v8nU5fvy4a13527Zt22rx2ZG/s2ZliT/aJ4vsxUs8rt+1a5eYM2eOWL9+vVAUxeM2ltRUcWr6dJH11r+FvaBATJw40e0ze/DgwaJXr14Vlnnajqi++u7PLNHk6S/F76k5busURRHr168Xc+bMEbt27fK4/+Y/s8Qjn/wucostrmXVvVfKPtOrOl5N1UoNYe7nn8OSkoKE/7xzWc2/+rg4hN06AsW//gprRkaFdfwV6SUbXnD2s7vpDa8dsrpfLY888ggWLFiAN998EwcPHsSaNWvQo0cPr507UGQXWvCfTUcwtX9zXN+6YY3308oyxvZIhNXuwKY/zzhrRYOigYLM2v81SapS/Nt2wG5H6C3D3Na99dZb6Nq1K+6//37ceOONGDNmDISH3kj6xERE33cfHHm5ODd3HoTNfXomk8kEK1uJyI/9kHIWTaKC0LlxeIXlQgiMGTMGN954I+6//3507doVb731ltv+3ZIioQggJauw2vNUfq8MHz4cDRs2RN++fbFmzZrLLrfXA6EQArmffIKQG26AsXVrt/V2ux3btm3Dvn37PO5v7t4dcmgYin7+ucJyg8GA2NhYNGnSBPfddx8GDRqENWvWwGw2Y+7cuZg8eTJiPTRJUzlnDwPHvwf6/t05uraSnJwc/PDDDzh9+vRlHbaq1+bPP//E3Llz8cUXX2D48OFo2rQprrnmGgwePNhLTyhwfLbjJCABU/s387g+JSUFW7duRUlJidu6sCA9ejWPwi/HsmFVADTtDxSfg0Gv8/i6lImKikJsbKzrpqtmcACR7WQ6NOHh0EZEVFiek5OD5557rkIAXL58OTZt2uTxOPr4eETffz+U4mKUHjzoCoVCCGzcuBHr1q3DwIEDa++JENWy9JxiNG8Q7NbdZ9OmTVi+fLnrbyEEnnvuOeTk5FTYLtioRZBeg5wizz+MKr9XgoOD8dZbb2HFihX46quv0LdvX9x6662XHQq9HgitJ07AknIE4SNvd1uXkpKCNm3aoE+fPujYsSNuvPFGty84SatFULdrULpvf7Xn4a/IK3DwS+dcfe1GuK1atmwZEhIScN1116Fx48aYOXPmFZ+m7LVZu3YtmjVrhi+//BJNmzZFUlIS7r33Xrf//AR8eyATN7aLQYS54ghMRVEwceJEtGrVCv369UNSUhJ++eUXt/17NYtCsdWBI2cLnTXAinJxAusLvP1rktTFlpUFbVyc2/LU1FSPn8VHjhyp8li6mBg0eOB+QAh89e23CA4OhtFoxJAhQ3DXXXdhxowZ3iw6UZ3KzC9FTKjRbbmn94TVakVaWprb8vAgHXKLK9agf/nllx7fK9HR0XjsscfQs2dPdO/eHW+88QbGjRtXoUWoJrweCG3p6QAAQ8uWbuvuu+8+HD161PX3hg0bPAYPXWwslMICKKWlbuv4K/IqnD/uHHVbqXbw7Nmz+Nvf/obSC//eDocDzzzzDPbs2XNZh6/82hw7dgypqalYsWIFlixZgkWLFmHnzp244447vPaUAkVadhHaxIa4LV+6dCmWLFni+vvMmTMYN26cW3NcTIgRsgRkF1gA84U5rOzOL+na+jVJ6iJKLa7RweW1adMGUVEVp8iQJAm9e/eu9nja6GgY2rTBtc2aYf3f7sUf27ahpKQEixcvhtls9mrZieqSEIBWdh+w2Lt3b7daw6ioKLT20JoqSxIqz/U7YMAA7N69GykpKZd8r/Ts2bPaH2WeeH2WUFvGaUCWoY2JcVvnqWbD0zLNhSYJx/nzkC/8Ii1LxjabDYqiYOzYsfwVebnyM5zX761k9+7dsFgsbst//fVXdOrU6ZKHreq1efTRR2GxWLBkyRK0auUc7btw4UJcc801OHTokMc3gRoVW+04X2xDQoT7SG9P74+jR4/i3LlzaNDg4pVJZFlCuFmPnGIrYHJ2nfhy4w8eXxez2YzHHnvMtW/37t2RkZGBWbNmYfjw4bXwDCkQCKsVkoc5BE0mEz755BOMGTMG2dnZMBgMeP3112v02SHr9Qhv1QrNE+KhrFkDJS4O8FALSRQIOnXqhLfeegvPPPMMrFYroqKi8Mknn8BkqtksH2azGS1atKjRtrt370bcZb6XvB4Ihd0OSav1eP3KVq1aYdeuXRWWeQoFktbZl0koimvZgAEDMHfuXOj1esTHx0PLGe8vn7mBc8qVSlq0aAFJktxqncpC3KVU9drExcVBq9VWOE7btm0BAGlpaQyEF9gV57+7vor3TGXR0dGIjHSfZ1AnS1AUAVicHZEH9OmGuR8srdF7pmfPntiwYcOVPgVSgaoCIQAMHjwY6enpOHz4MBITExFRqZ9hdSSdDtH3349z8+cje85cRE2ZDH1j51Qdf/zxB6xWK3JyclBQUIDdu3cDADp37ny1T4fIJx599FFMmjQJaWlpaNWqVY3DYHUWL14MvV6PLl26AAA+//xzfPDBB1iw4PKmIKvTVDV79mwMHToURUVFAICmTZvimWeeqdG+l5OMqQoRScDhdc7+ZeWuFtK0aVM8++yzeO2111zLxo4di+uvv75Gh63qtbn22mtht9tx9OhRNG/eHABw+PBhAECTJk2u/HmoyOTJk7Fs2TLs2LEDAKDVavHOO+9A4yE8uhSdBQCYQ8Jq9dckqYtitVQZCAFnTWFNagU90QQHo8F99+Hc++/j3Lz5iJ58L/RJSbj55puRmprq2q7sC8/TCGYifxEREXFZP5pq4uWXX0Zqaiq0Wi3atGmD5cuXX3b3rDoNhNdddx0OHjzoamK89dZbEeyFq5LwV2QNNRsAbHkdOPod0LLiFD2vvvoqhg0bhu3bt6Nt27ZemcJn0KBB6Nq1K+655x68/fbbUBQFDzzwAAYPHlzj2ke1M5vN+Omnn7BmzRpkZmZi8ODBl65Zzb3QQVnj+cvbW78mSV2E1Qo5KMirx1y0aJHrsRwUhOipU5G9cCHOzX8PkX+7BydOnPDq+Yj8Vfn3SmUTJ07ExIkTr/ocdd7u2qhRI0ybNs2rx+SvyBpq3AOI6QBs+z+gxQ0VL/UGZ4fXS3UEvxyyLGPt2rV46KGH0L9/f5jNZgwZMsTjvEtUNb1eX/NfekIAJ34AgiIuXsXFA2/8miR1EVZbrV+HWDYaEXXvvchZtAjZ7y9A1N2TYGzTplbPSUROftERr7pkDIC/ImtKkoCB04FP7gK2vQv0efCqD3mp1yY+Ph4rV6686vNQzURYTgK5aVi0cCEQ18HjNt76NUnq4uxD6D5/qbfJBgMi77kH5xcvQfYHHyJy4gSY2rev9fMSqV2tXcuY6qnWNwF9HnZesWT7govX/iW/p4EDnbK/BoJjgRh+gZJ3VTeoxNtknQ6RkybC2L49chYtRnGlwYhE5H0MhGp0wz+BbvcAXz0OrJgInN7r6xKRFwyybkGoNQvoOaXCoCEib6jLQAg4L1IQOe6vMHXpjPPLPkbR9u11dm4iNfKLJmPyMo0WGPomkNjLWVM4vx8Q2wFo2A4IawzozYDWCGj1gD4EaNgGcDicIUPWAhodIOsuPNY672XdheUXlkkatz6KVEsUBfjzC3Rz7MKu6OHoEpHk6xJRAKrrQAgAkkaDiNGjIWl1yP30UwibDcF9+tRpGYjUgoFQzTrcAbS7FTj8rfOydudPACe2ArZi51UuHBbnpe66TgRKcpzLa0y6GBBdIVLrHiQrh0tdEGAMA0797jyM1uAcLVv+Xmt0X6YxOANsVes0Afpf3VII7FwEnN6Nzbq+yA25Bl18XSYKSM5pZ+r+eteSLCN81B2QdDrkrVwJYbMh5Lrr6rwcRIEuQL8lqcY0WqDtMOfNE8Vx4WZ11hIqNsBhB8SFe4cNUOwXbheWVXhctn25bcvvU/bYXup8LGuA4vPA0U1AUbYzlNov3BwWQCiey3kpkuYyAuSlgqfB8/Ye13k6j+Hqm3RP7wV2L3MGdlsx0Pcx/LwDaMdaWaolwmqr8xrCMpIkIezWEZCCTCjYsAFCCITWcJ5UIn9k0MrQaer285yBkKonay5MX1LHXwR9HvC83GG/GBIdVmeQLKvNdN2XC5DllzmsldaVW1b+WPZSoDTPw/YezoMrHJQja11hMVhjwA96ByI3hAA/mZ0B0lO4dNiA3FRnTW7JeSC6DXDzTCC+K2AMBfDHFf5jE12asFohG2p/lHFVJElC6I03QhMaiqKffoIkaxDcr6/btWGJAkGISQuToW4jWv0MhJIEyWRiHzRyp7nQtKz3fEHvOiWEM6R5DJ6lNQ6jVksJ1m45iCExEQiO0LkHVWshUJzjDOYxyUCbYc77FoMqNIUbffCLktTDF30IK5MkCcG9e8N69BgynngCEWNGo8Hf/85QSAFn3YEsdEgIxU3t6+4KUvUzEGo10ISHe7weMlG9IUkXmoP1wFVUnFhLbZi1cT2SOnZFs45X/uYPNelh1NXPtzT5N+FwAA4HJJ1vA2GZyHF/BWQJWS+9DEduHmL/+QIkjqynAFJksaPUdoVdpK5QvXwHOXLOI/ezFXDk5vq6KER+46t9p7E7/byvi0EBSFitAODzGsLyIseORdyrryJ3xQqcfvY5CLvd10Ui8mv1szpBUaDk5zun0yCiGin0wS9KUgdhsQCoX4EQAMJH3g7JaEDGU09DsVqQ8K9/QdLV/UhookBQL2sIiYio/lBcNYT1L2yFDR2KRu+8jYKNm3Dy4UegXAivRHR5GAiJiKhawmoDUP9qCMuEDBqExnPeRdHPP+Pk/Q9AKSnxdZGI/A4DIRERVausD6Evp525lOB+/dB4/nwU79qF9MlT4Cgs8nWRiPwKAyEREVVL2OrfoBJPzL16InHBApQePIi0v90DR36+r4tE5DcYCImIqFr1cZRxVYK6dkHiokWwnUhF6qRJsJ/nyHuimmAgJCKiatXXUcZVMSW3R+KSJbBnnUHahAmwnz3r6yIR1XsMhEREVC1/qiEsY2zdCk0++giO/AKkjhsP2+nTvi4SUb3GQEhERNVyTTtTT65UUlOGZk3RZOlHEHY7UseNhzU93ddFIqq3GAiJiKhaF0cZ+1cgBAB948ZosvQjSFotUseNh+XYcV8XiaheYiAkIqJq1fd5CC9FFxeHJks/giY0BKnjx6P00GFfF4mo3mEgJCKiavljH8LKtA0aIHHJEmgbNkTahAko2X/A10UiqlcYCImIqFrCagFkGZJW6+uiXBVtRASaLPoQuqQmSJs0CcW/7/J1kYjqDQZCIiKqlrBa/bp2sDxNWBgSF34AY5s2SLv3XhT98quvi0RULzAQEhFRtQIpEAKAJtiMxu+/h6DOnZE+dSoKf/zR10Ui8jkGQiIiqpZitULywxHG1ZFNJjSaOwfmPn1wdu48lB496usiEfkUAyEREVVLWK2Q/WwOwpqQDQY0+u9/EDnur8hdvhzFu6rvU1iwZQssxzltDQUm/+4hTEREtU5YbQHVZFyepNUi9C9/gZKbh/NLl0FYbTD37OG2XcF3m5H1yitwFBai2epV0MXH+6C05A+CDVoYdf5X38ZASERE1Qq0PoSVSRoNwkffBeh0yP1sOYTdhuBrr3WtL/z+e+SuXAk5NBT27GzYs7MZCKlKf2kfg4QIk6+LcdkYCImIqFrCYgnoQAgAkiwj/I6RkPU65H3+OYTNhpDrr0fRL78ie8FCaKKjAFlCxLi/wtShg6+LS/VYQakdxRaHr4tx2bweCCW9HnJIiLcPSxTQQk1aaDWSr4tB5FGg1xCWkSQJocOHAzo98teuRenBQyj68QfoYmIRPvou5K1cCXOvXgCcA21kvR5CCEgS37t0kcWuwOYQvi7GZfN6I7ehRQuE3zHS24clClh6jYQx3RORGBnk66IQeSRs6giEgDMUht08BIZ27XH+o48gbHbETJ+O0v0HULJvP0xdugIAZL0eisWCnEWLUfTLLz4uNdHV83oNoWIphT0vz9uHJQpYigByi22w2RVfF4XIo0CcdqY6JQcOoHjbNugaNYImLBT5X3+Nwh9+QMzTT0ETbEbJ3r0o2bcPeV+sQem+fQCAJsuWIqhrVx+XnOjKeb8PocMBUVLi9cMSBbISmwMO4X9NDKQOwmqFbDD4uhh1QlityH7vfSglJYj75wuw5+Yie/582LNzYM04jeyFHyD7gw8QNmwYZHMQzL17AzotJL06/n0ocHFQCRERVUtYbZCC1dE3XNLrEfP8c3BkZ8PYti2EouDs7LdhPXIEuR9/DF1iYyTM/jeU4mJYThyHHBSEyPETYEpu7+uiE10V/5soh4iI6pQaRhmXp2vYEMa2bQE4Rx83fPwxBPXqBW1cHEzdukMTEoKcRYshSTLC77gDQV27AACEwm4f5L9YQ0hERNVSyyhjT4QQMPfqhaCePVF64ADOzH4becuXQ5sQj6gpU1xhULFaUXrgACRZRtEvv0ITGYGIUaN8XHqimmMgJCKiaqk5EJZNKSNJEiAAYSmFUlICTUgoHIUFOPP22yjZsROS0Qh7ViaCevVG3qpVUIqKoGvYEMHXXefjZ0BUM2wyJiKiagmVjTL2xHriBLJeew2y0YTIyffCUVSEk1OmQikuRtTkexH3ystouno1TB2SYWzbFuGj74K+aVNfF5t8LCO3BE+u2OPrYtQIAyEREVVLUdE8hFXRNW4MU8cOCBt+C6LGjUPDR/8ObVwc8lZ/AX3TptDFxiJv9RfI/uBD6Js1Q+T48dAnJvq62ORjucU2rPz9pK+LUSO11mTM2duJiAKDsNogqzwQShoNYp591vW3qV07NJ43FycffAjHRtyK6AceQOGGDTC2bYvIcX+FoVkzH5aW6sqGP7Lclh0/V4Qiix0b/tAjLafYB6W6MrUWCA927IRmq1fB0Lx5bZ2CKCBl5JZg9obDmDWqk6+LQgRAfaOML0UoCiBJMLZujcQli5F612ic/fe/Ye7XDw2ffALayEhfF5HqyJSPdkACUH4WWSEACcCSX1IBOB/7g6sOhFmvv1Hhb2vGKViPHQMcDmS/9z404eEAgJhnn7naUxGpQlkTAwMh1RfCaoWkYyAsI8kXe1tZDx+GJioKSmkpir7/HvacHAZCFWkYYsDLI5JxY/tY17J/fXsQSVFm3Nm9MQ5k5OGW/271YQlr7qoDYc6SJTC0aQNNiHPSUkdeHhx5eYAQsBw7BtlkAth0TORSuYnBYncgM68Uvx3PwblCq181MVDgE0KoepRxdUoPH0bmq6/BlNweDR5+CNkffIjzH3+MBvffD210tK+LR3WgQ0IY9p/KqxAIy5MgwV+uQXXVgbDBo48i97PPEPP0UzD36oXCrVuRt3Yt8r/6GvGvvwZDixbeKCdRwKiqiWH7iRxX2wJ/QlG9YbcDQjAQemBs1QpR99wNfVJTmHv1hKlLF2TPm4cz//cuGtw3DbqYGF8XkWrZlP7NUWy1V7k+KToIn0zuVYclunJXHQijp0yGuXcvZDz5FIIHDEBQzx7eKBdRwKrcxFBsteOZlftw97VJ6JIY4VdNDBT4hNUKAKqfdqYqEaNHux5rwsIQff/9ODf/PZybMwdRU6ZAn5Dgw9JRbevRtPruAUF6LXo1i6qj0lwdrwwqMXXogKYr/4fMl15G1iuvQt+yBZuJiaoQSE0MFPiUskDIGsJLkiQJmtBQRN83DdnvvY9z8+YhevIU6BMb+7poVEs8zTG471Qegg1aZ6vPBf7QJ9xr8xDKZjPiZ76B0JuHoPjnbYDD4a1DEwWUKf2bo2uTiCrX+1MTAwW+shpCtU87czk0wcGInjYVugYNkbd2Dazp6b4uEtWS//1+EtuOZSO/1Ia8EufNYldQYnO4/s4rsfm6mDXi9Wlngnr0gOXECYSPGAFdfLy3D0/k9wKpiYECn2AN4RWRg4IQNXUKcleuRPr9DyD2+edg7sUfeoFmXM8mWLMnA+k5JRjVrRFu65KA93445hpl7E+uOhBmPPd8hb/tWVmwpqehIDgEBZu+cy2Pf+3Vqz0VUUCo3MRgVwR2pZ1HocWOKPPFL11/aGKgwMdAeOVkgwHht9+Owu82I33KVDT67394beMA8/KtyZg+rC2+3Z+JFTtO4l/fHkJ8uBHXt2rodxfouOom47xVq1D8669QCvLhyM+DUlwEYbXBkZ9X4UZETpWbGPJLbbA5BIosdr9rYqDAx0B4dWSjEY3mvAtzv35If/Ah5G/Y4OsikZcZtBqM6JyApff2xIbH+iPSrMeq3afQd+ZmFFmqHoFc31x1DWHEmNHI++prWE+eQvhtt0HTsCEKN3+HhJkzvVE+ooBTuYnhL+1j8MY3h1yjjInqk4uB0ODjkvgvWa9Ho7dnI+Ppp3Hq749CvPEGwm4Z5utiUS2Qy2oEBeBQ/Gt44FUHwtgXXkDDZ55BwfoNyPt8JYp37IQmOhqFP26Fue+1flVdSlQXPDUxRATp0LlxGDo3Dud7huqVi4FQ5+OS+DdJp0P8rFmQDEZkPPUUhNWC8JEjfV0s8gKL3eH6PN9+IgeNIkwY0Tke/xjWDrLsP5/nXhlUIuv1CBs2FGHDhiL3iy+Q88GHyHzpJQiHHc3XroVsNnvjNEQBo6yJYUTnBKScKcCDy3Zh/g/HsHDrCax/tD/Mhlq7zDjRZVE4ythrJI0Gca++AslowOnnp0MpLUXkX//q62LRVZi+eh/W7jmNuDAj7uzWGP8Z0wULfnQOKvGnMAjUwihjSJLzMgtCAA7F64cnCjTlPzP8rYmBAp+wsA+hN0myjNgXXoBsMCLr5VcgSksR9be/+bpYdIWW/ZqG+DATEiOD8OvxbPx6PBuHswph1muw6eDFy5TOH9/Nh6WsGa8EQsVqvdhkvH0HNA2iEffPf8Lcr1+Fi4ATkVPlJoZIsx6T+zXDPdc29btflRTYOKjE+yRJQsOnn4JkMuLMrDehlJQi+oH72V3ED93epZHbdTgMWhlGnQYhRv/qZnHVgfD0iy8i/+tvoIuNRfjI2xE2ahQKt2zh0HqiKlRuYpg5sgNmfnsI1zSJYBikekfYGAhrgyRJaPjII5CNJpydPRvCUooGjz3GUOhn3rrTfXqwf317UJ3zEOZ+uhy6uDjoGjdC8fbtsJ/Lhi3zNE4+9FCF7Rr9979XeyqigFC5ieHno+ewPyMfWfmlCA+6+IvSH5oYKPCxhrB2RU+dAtlkRNZrr0MpKUXMc8+yZY184qoDYdiIERWuWywVFUPS6iAHh1ztoYkCUuUmBruiQCdLMBv8r4mBAp+wWgGtFpJG4+uiBKzICRMgGYzInDEDwlKK2Bkz+O9Nde6qA2H8G69X+Ltw61bkrV2L+Ndfu9pDEwWkyk0MxVY7nlm5j/MQUr0krFbWDtaBiLvuhGw0IOPZ56CUWhD/+muQtJxtwB8ZtDJ0Gv9r+uf/NiIiqpJisULWsea6LoSNGAHJYMCpJ56EsFiQ8OYshnE/FGLUIsjgfzW87KhARERVYg1h3Qq96SY0+s9/ULh5M9IfegiKxeLrItFlWncgCztOnPd1MS6b9wOhRgPJZPL6YYkCmUmngYajC6keYiCseyEDB6DRvLko/vU3pE+bBqW42NdFostQaLGj1OZ/8zB7PRDKBiO0YWHePixRwJIlIDxIB52WFfZU/zAQ+kbwtdci8f33ULpnL9ImT4GjsNDXRaIA5/VvIMuRI8j930pvH5YoYFkdAp9sT0NaDmsBqP4RViskg8HXxVCloO7dkfjhB7CkpCDt7nvgyM31dZEogHk9EAqrFUpBgbcPSxTQ8kvssDt42Tqqf4SNNYS+ZOrUCU0WfQhbejpSJ06CPTvb10WiAMU2KiIiqpJisUDSc5SxLxnbtUOTj5bAnpON1PETYMs64+siUQBiICQioioJqw0yawh9ztCyJZI++ghKSQlSx4+H7dQpXxeJAgwDIRERVUlYrZB0DIT1gT4pCU0++ghQFJwYPx7W1FRfF4kCCAMhERFViaOM6xd9owQ0WbYUssGI1HHjYTlyxNdFogDBQEhERFXiKOP6RxcTgyYfLYEmIgKp4yeg9M8/fV0kCgAMhEREVCXWENZP2uhoJC5eBF18PFInTkLJ3r2+LhL5OQZCIiKqkmLlKOP6ShsRgcRFH8LQvDnS7r4HxTt2+LpI5McYCImIqEqsIazfNCEhSFzwPozJyUibPAVFP//s6yKRn2IgJCKiKnHamfpPNpvReP48BHXrhvRp96FgyxZfF4n8EAMhERFViTWE/kE2GtHo3f9D8HX9cfKhh5G/br2vi0R+hoGQiIiq5AyEHGXsD2S9Hgn//jdCb7wRpx59FHlr1vi6SORHtL4uABER1V+sIfQvkk6H+H/NhGQwIOPpZ6BYLIgYNcrXxSI/wEBIRERVEhYLA6GfkTQaxL3yMmSjEZn/eAGipBSRE8b7ulhUzzEQEhGRR0IICJuN0874IUmWEfOP6ZCMRmS99hoUSymiJ0/2dbGoHmMgJCIij4TNBgCsIfRTkiSh4ZNPQDYacfatf0OUlCL6oQchSZKvi0b1EAMhERF5JKxWAOC0M35MkiQ0ePghSCZnKFRKS9HwyScYCus5s0ELo65ux/0yEBIRkUdlgZA1hP4vevJkyEYTzrz1Foxt2yB06FBIMicauVxCCDiEw3lTKt0LBxShwC6dQ6GjFMfyguBQLiwTdiiKAodwwK7YoZE1iDPHoYGpATSyxu08f2kfg/hwU50+NwZCIiLyyBUIDZx2JhBEjh8HOdiM0kOHAMBjKBRCQAgBBQoUUekGBUIRrnsHHK6AJIRwbSdwcX8AkCDhVMEpWBSL5wCl2Cs8VsTF4FR5WeX9KxxLcQavCiFMKFVuX/Z3+TJUWFZu/7LHZc+pWqFARiGwcfWlN9XJOjQNa4o7W92J4S2Gw6R1hsCCEjtKTPbLen2vFgMhERF55AqEusCqIXSFi0q1N5cVJqp57DFMKJ4DhqeAUv6+fCCqcfmqCVxGjRFTkgeh40+/YveRrdjcTQ+7JCqEPm8yaU0I04dhZcpK5FvzPW6jkTSQJRlaWQtZkqGRNBUeayQNNLLG42NZlqGVLmwrayo8NsgG930u3Jedr/x6War6WNWVofL+/1j9B1rFhGJK/5auZZWP7xAOZBRm4GThSfye9Tve3fMusoqz0DqiNW5ocgMsdgU2h/Dqa3Ep9TMQyjLk0FCA1dlENRbsgz4nFNiExQKg+iZjIQTSC9KRXpCOjKIMWOwWVxjRSBq0imiFEnsJrA6re21Tpdol12NPtVMX9lEUZw1U2bbl99FJOgTrg/Hl0S+RZ82rskZIoG6/aCVIHgOEW5jwEIjcQkm5fbWSFgadwT0kVROugnRBiIhqjyzTSTT78jfE7g/D2Zu7Q9bqIEkSZEmGDBmyXOleuniTJAkaSePcvtK6yvtq4Czb3cl3u8pQuXyB1p/R6HAgWhuBLg2Tq92ueXhzAMCYNmOQXZKNwzmHsT5tPQ7nHoYi9QIQVAelvaheBkJNZATC7xwFTXi4r4tC5DeGdohD02izr4tBAUSppg+hzWHD6qOrsfzgchw672yC1Ega6DV615d+uCEcw5sPR6G1EDbF5jlwSO4313aSDJ2k8xg4JEhu++k1epi1ZlcNjMfaGdlzjU2VtT/VPPZYoyS7H1OW6uEPtXigpEF75CxejOjNxxE5cWLABTN/EmWKQu+E3mgc0hgf/fkRcg1rUKrcWadlqJeBEHYHHLm5EA6Hr0tC5DfyS6wotbGvF3nPxUElFechPF14Go9//zgOZB9A/0b98UDnB9A6sjVigmI8dpCva30S+vi6CH7B1K4dIsePR86HH6Jwy/cIGXC9r4ukeo1CG+HhLg/jlZ9n46j1G1gdraHX1E2XjfoZCIWAKCkBRN1W6xP5s1If9DmhwCasznkIy087k56fjr9+/VcYtUYsHbIUHRp08FXxyAtMyckIHjgQ+V9/BX1SExiaNvV1kVTPrDcjxDoQ+cYvseboGtzR6o46OW89rMcmIqL6oPIo41J7KR7d8ihC9CFYPmz5VYfBSZMmQZIkSJIEvV6PFi1a4KWXXoLdbseWLVswYsQIxMXFwWw2o3Pnzli2bNlVPydyF3rTTdDFxaNg/fpqX5NDhw5hwIABiImJgdFoRLNmzTB9+nTYLkxgTt6jVSKRoOuD7ZnbkV2SXe3rUt6RI0cQEhKC8Cvoclc/awiJiMjnhK1iH8JFBxbhRP4JLLt5GSKMEV45x0033YQPP/wQFosFX3/9NR544AHodDoIIdCxY0c8/fTTiImJwZdffokJEyYgLCwMw4YN88q5yUnSaBB8XX+c//hjKKWlVb4md911FyZMmICuXbsiPDwce/bsweTJk6EoCl577TVfP42AE61th3NiO345/QuAqt8rzz77LADAZrNhzJgx6NevH37++efLPh8DIREReVR+lLFNsWHFoRUY3nw4Wke29ri9zWaDTnd51z02GAyIjY0FANx3331YtWoV1qxZg23btlXY7pFHHsH69evx+eefMxBeBkVxTiMjX2LWDmOnTtD9uBWO/fthMJk8vibPPvssmjVr5tqnSZMm2LJlC3788cfaewIBqibvFQ206BbTDdszt0MIUeV7pSwQTp8+HW3atMENN9xwRYGQTcZERORR+SuVbD+9HWdKzmBUq1Fu2x04cADdu3eHXq9HUlIS1q5de8XnNJlMsF44b2V5eXmIjIy84mOricPhwNdff43XX38dr7/+Or766is4qhmoKWu1CB5wPSQPIaWq1+TIkSP49ttvcd1113mz6AFt7dq1SEpKgl6vR/fu3XHgwIFqt28V0QrF9mJYFfd///Kvy3fffYcVK1bg3XffveKy+UUgZD8TostTF/1NKPC5pp3R6XA8/zj0st6tdtDhcGD48OHYsWMHACA1NRWjRo3CiRMnLutcQghs3LgR69atw8CBA93Wf/bZZ9i+fTvuvvvuK3syKrNmzRp89NFH2L9/P/bv34+lS5dizZo11e/kcEApLnb9WdVr0qdPHxiNRrRs2RL9+vXDSy+9VFtPI6CcOHECo0aNQmpqKgBgx44dGDFiRLVBPdLo/AFkcVhcyyq/LtnZzj6GixYtQmho6BWXz2+ajNnPhOjy1HZ/Ewp8wmYDtFpIsoyMwgzEBce5zal34MABHDt2rMIyi8WC9evXY8qUKZc8x5dffong4GDYbDYoioKxY8dixowZFbbZvHkz7r77brz//vto3779VT8vNdi5c6fHZbfddluV+8jBwRB2+yVfk+XLl6OgoAB79uzBk08+iTfffBNPPfVUbTwNv6V4mCVl/fr1sFgsFZYdPXoUBw4cQMeOHSssL9u9rK+u1WHFt19+6/F1GT9+PMaOHYv+/ftfVZnrPBBu374dK1asQHBwMO6++240bty4RvuxnwmpVXZ2Nj744ANkZmZiyJAhGDRoUI32q+3+JhT4tBERgN0OR14egnRBKLIVuW0THR0NSZIgKn0BNmzYsEbnGDBgAObOnQu9Xo/4+HhotRW/lr7//nvccsstmD17NiZMmHDlT0ZlPNUUXar2SNhskCT5kq9J2fd2u3bt4HA4MGXKFDz++OPQaHw/B2V9EBVswNkCi9tyT+8JSZIQHR3ttjy/1IZgow5Wh7OWXq7mdfnuu++wZs0avPnmmwCcNYiKokCr1eK9997DPffcU6Ny12kgXLFiBUaPHu3q5Dp79mz88ssvaN3acwfl6phMJmRnZ3tcl5eXh7Zt215VWYnqg3PnzqFbt26uJoZ///vfePPNN/H4449f9rHKv2fK+pvs3r0bn3/+uVfLTIFD18j5xW9NP4lGwY1wruQcim3FCNJdvKRWfHw8pk6dinnz5rmW9ejRA0OHDq3ROcxmM1q0aOFx3ZYtWzBs2DDMnDmzRrWNdNGtt96K/fv3u6aE0el0uPXWW6vdx1FQCOi01b4mlSmK4qqxYiB0Sow0YceJ827Lhw4dih49euC3335zLZs6dSri4+MrbFdqc6Cg1I4osx7ZJc7PbIPGANkse3xdtm3bVqHZ+YsvvsDMmTPx888/IyEhocblrtNA+I9//MMVBgEgNzcXs2bNwoIFC2p8DCEENm3ahHXr1uGhhx5yW1/Wz2T+/PleKTORL7333nuuMFhmxowZePjhh2s8mrPye6asv8nSpUuvqr8JBT5940YAAOvRI+g8oDMAYFPaJtzS/JYK282ZMwf9+vXDtm3b0LJlS9x7772XPdq4ss2bN2PYsGF45JFHMHLkSGRmZjrLpNdzYEkNtGrVCq+++qprBHC/fv0u2SKn5OdB0lYdC5YtWwadTocOHTrAYDBgx44dePbZZ3HXXXdd9esdSLo1icTSX9Jw9GwhmjcIdi3X6XTYvHkzFixYgJSUFPTu3Rtjxoxx239Pei4AoFm0GWklJwA4A6ENnud7rFwBtmPHDsiyjOTk6q+lXJnXA6Fk0EPYbM6q50r/QU6dOuW2fUZGhtsyxXphqoNy/zHZz4QClV7j7JNVYnPvWOzpPVNYWIj8/HxERUVVWG61C2g1F69FWtV7xlv9TSjwacLDYerSBbmrV6PJiBHoHdcbH//5MYY2G1qhL6EkSRg7dizGjh3rtXMvXrwYxcXFrlGyZa677jps2bLFa+cJZI0bN67xa+LIz4f9zBnIZjNQxSAHrVaLmTNn4vDhwxBCoEmTJnjwwQfx6KOPerPYfu+m5FhEfqnHop9O4OVbK4ayoKAgPPzww1XuqygCP6acRevYEDQINWLV8Z1ICk3CGflMbRcbEF5W+NNP4o/WbYQlLc1t3ciRIwWACrfZs2e7H+O338TJxx4TDotFCCHExIkTxaBBg0RKSopITU0VNpvNbZ8tW7YIs9ks5s+f7+2nRFTrur2yQczecMht+erVq93eM126dHHbzmZ3iIc/+V1sTTkrhKj+PRMWFiY0Go3rJsuyACA0Go1YuHBh7T1J8ku5a9aIP1q3EaVHj4pfM34VHRZ1EPP38HO2vli8f7HovKSzeHzL46LIWiSEEEJRFCGEEMv+WCYGLh8onvz+SWG1W8XWk1vF41seFwv3LRRv73hbfLDvA3E897gQQoiiHTtEzvLlwuHh+5Uu35zNR0TSM1+K7w+duaz9Nhw4LR765HdxKDNfZBZmiie/f1L8nvl7LZWyIq9PO6Nv0gQAUOphbp05c+bg+uuvBwBoNBpMmTLFY7Ov7eQpyGHhFa6fWdanITEx0a2D65YtWzB06FD2MyG/1TTKjP2n8tyWjxgxAv/85z9hNBoBAJ06dcKnn37qtl1GbgmEABqEXPo9s23bNuzevdt1e+mllxASEoLdu3dXOwKR1CnkL3+BJjoaWTNnontMN0ztNBXv7n4X/zv8P7eBJFT3LA4L4sxx2Ji6EfnWfACAgPN1WXF4BQpthSiyFUFAwCEc6BXXC30T+uLGpBsRpg/D0j+XIv30YVhSUmBo3hxyNU3GVHNT+zdDv5YN8PCnu/DrMc/jHcoTQmBX2nls+PMMbmofixYNzfjq2FcI1gXX2fXCvf7K6xISYOrcGbmfrUDoTTdVWNewYUNs3rwZZ86cgdFo9Nh/SbFaUfz7Tph79qzR+djPhALBLZ3jMWPNAZzOK0FcmKnCuhkzZuCpp55Cbm6uW+fjMj8fzUaYSVehv0pVvNXfhNRB1usR/9qrSJ8yFdnvL8C0ydNwvvQ8Xtz2InZk7cC0jtOQFJbk62Kqlk2xoXVEa2hlLX489SNua3EbtLIWv53+DVpZi64xXWHWmmFX7Lg2/looUKCTnd252ka1xYFt+3Fg7yb0NCfA2KFugocayLKE/4zujGlLd2Lsgl/xwPXNMbFPEqKCDW7bHjtbiPd/OIZQkw69mkbgpvax2JK+GYfOH8LdyXdDK9dNSK+Vs0SMHYOMp55G0S+/wtzLPdhVNx1B4fffQxSXwNy7d43OxX4mFAhu65KAmd8cxOwNh/GvOzq5rQ8KCkJQUJCHPYGsvBJsP5GDwe1ioLnE5amIrkRw//6Ium8azr7zDrRRkZh+x3R0atAJ/9r+L3x17Ct0i+mGVhGtEB8cD5PWBI2kgSzJMGlNSApNgl3YIYSALMmQJRmSJEGWZGgkjfMxZNc6WZKdf8uV7qWKNwkSNLIGEiTXMdXIIRywKlaMbDkSG05swE1JNyFEH4LPDn+GgYkDcTz3OBQokCTnv5cGF0cCZ+dnotBaiLDihggZ0L9CqxxdvfAgPZb+rSfe3piCeT8cw7zvj6F/qwZo3sCMSLMep/NK8efpfPx6PAeJkSbM+WtXtI8Pw2+Zv2HdiXUYmDgQbSLb1Fl5JVELdf7C4UDavffCcjgFTT9fCV1MTI32Kz1yBNnz5iP4hoEIGzLE28Uiqtc+256Op1buxaw7OmJUt5rNz2mxO/B/m1JgsSt4/C+tYdBy2geqHcLhQOZLLyN3+XKE3X47Yv8xHTa9jHUn1mHDiQ1IL0hHRlEGLA4LFOGcTSJUH4qRLUciz5qHEntJrZZPhgyTzoRIYyTWHFmDYnsxNJLGGYIkTbWPZVmGVtI6Q6qsqfDYtX35fS7cy5IMrezcVitpoZE1rsdVHquq8lz4u/KxQvWhCDOEweawuYViWZKxcN9CHDp/CC/2eRGj1o7CvMHzkBSahMH/G4zlw5Zjwb4FKLWX4rV+r8GgMSCzMBPrUtfhXOEZFJXkoW9BHHp3uQWmRom1+vqo3fkiKz7bkY4fUs4iPacEOUVWxIUZ0SQqCEOS4zC0Yxxk2YGvjn6FbZnb0DO2J25rcdslr0HtTbUSCAHAnp2N47ePBAAkzJ6NoK5dqtxWCIGSffuQ+/nn0MfFIWryZEis6SAVevp/e/HZznQ8NqgVHhjQArJcda3HsbMF2PTnWaTnFOP+AS0QG2asw5KSWuWuXo3MGS9CDg5G+Kg7EHHnndDFxVXYRghnfzWHcEASEhxwuJYpQnE9FkI41ykCChTXMkUoUKBAUS7cC8W1n9u6cttIkKDX6HEo5xCK7cVQhAK7sEMRChyKszyu+0qPFaHArtgrPHbtrzjLVrbM0/4VjqVUPG/lx5ejY3RH9E3oi+P5xz2uP5hzEAXWAnSP7Y7dZ3YjWBcMjazBuZJz6BbTDXvP7YUQAl0adIFW1qBJrg4dItrDkXseB/U5yDBb0DqqLYxaI2TIrkteSnDeRxojkV6QjrPFZyvU8JbV7mqki7W0rhrfcrW8BtmAIF0QDmQfgF2xu4Vmrax1C9caSXPxcVWhvIpQXzngezxmpX19XbucWZSJNUfXQBEKzhafxc3NbsY1MdfUeTlqLRACgC0rC6cefQwle/cidMgQRIwZDVPHjq7pZJTSUhT+8APyVq2GvnkzGJq3QOiwoZA5nxGplEMReGdTCv77XQrax4diYu8kDOkQh2DDhfeMInAwswAf/5aKDQeycG+/ZhjeKQ4xlfodEtUm64kTyFnyEfK++AJKcTF0CQnQNW4EXUICZP3FPlKS0QhT1y4QxSXOy+DVMkmngxRkQsnvuyBKS2v9fFdKQDjDLQSEUNz/FgICAooQMDROhLlFS1jOnXEtd27vPNL79i04KXLwvOYW7FNOYoHyPaywY6zUC33lVpjtWAc4FDyWfQ0MucXQShoYBvRHYVQQzseYsD59ExoENUDnBp0BAAounF84Q3qwLhinC0/jXOk5VzD3FNjLwnrlUK+TdDDrzfjm+DfIs+S5BfCyfco/rmuukFhFLa1buKxJLXJVx7pwDIfiQEZRBk4WnERGYQZigmLwTI9n0KlBJ0QHuV+5pC7UaiAEnJfCyVm2DOc//gS2tDRAo4EuLg7CaoX9jHNeHXO/vmj45JMwtmpVm0Uh8hvbjmZj3vdH8f3hswCAKLMeIUYtMnJLYXUoaBBiwKQ+Sbi3X1M2E5PPOAqLULBhA6xHj8CafhK2jAwI+8UaMNlsRsjgwVCsVgiL+6W8vE0yGCDr9SjYsAFKkftl9vyRoU0bmDp3gu2k+5ykAPCu+RdkaArwYv4N0ELGmIjlKJCt+CxnNIKEDi+HbIZW1mG6eRT00dEwtGgBfVKSq1ZsxcEVsAkb7mp9FzSy7z9LygfLGtXI1qCWt/x25Wt8a1JjXN0xqyxfpWNWrqm2CztkyIgLjkOjkEZoHtYcg5oMglln9um/fa0HwjJCUVCycycsR4/BdjIdkt4AXePGMLZvxyBIVIW07GL8nnYeaTnFKLTYkRBuQtNoM3o3j4JOw24VRGr3yi+vIKsoC+8MfAeyJCOnNAeKUBBtctYyPfH9EzBoDHi176tY+sdS9E3oi0YhjWBX7Dhy/gg2pG7A4CaDkdyAswyoXZ1NOCTJMoK6d0dQ9+51dUoiv5cYFYTEKM+ji4mI7IqzRrbsyjGRxorTrRXaCl2DfPae24uPD34Mq8OKcEM4IgwRGJg4EC0ianbdYgpsdVZDSERERHWryFYEIQSC9cHIs+Qh35qPUruzf6VJa0J8cHyFyxCSejEQEhEREakcfxYQERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHKMRASERERqRwDIREREZHK/T/hmbj0NjgsLwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualize our two hypergraphs\n", + "plt.figure(figsize = (8,3))\n", + "gs = gridspec.GridSpec(1, 2)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7fa69b21-e330-4d6f-a39a-2db171b85c87", + "metadata": {}, + "source": [ + "## Addition" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "887721c4", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:11.964208Z", + "start_time": "2024-05-16T15:56:11.800117Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (12,3))\n", + "gs = gridspec.GridSpec(1, 3)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 2]) #plot time series\n", + "plt.title('$HG_1 + HG_2$')\n", + "hnx.draw(H1+H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "93ff371a-642d-45e7-ba00-3431064df60b", + "metadata": {}, + "source": [ + "# Subtraction" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bc84e776", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:13.948111Z", + "start_time": "2024-05-16T15:56:13.794206Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (12,3))\n", + "gs = gridspec.GridSpec(1, 3)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 2]) #plot time series\n", + "plt.title('$HG_1 - HG_2$')\n", + "hnx.draw(H1-H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2b5462f7", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:14.938449Z", + "start_time": "2024-05-16T15:56:14.757907Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (12,3))\n", + "gs = gridspec.GridSpec(1, 3)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 2]) #plot time series\n", + "plt.title('$HG_2 - HG_1$')\n", + "hnx.draw(H2-H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2849b434-6d66-40ab-8095-b59d63202c8c", + "metadata": {}, + "source": [ + "## Union" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "42c14fc4", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:15.964900Z", + "start_time": "2024-05-16T15:56:15.816949Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (12,3))\n", + "gs = gridspec.GridSpec(1, 3)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 2]) #plot time series\n", + "plt.title('$HG_1 \\\\cup HG_2$')\n", + "hnx.draw(H1.union(H2), pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "1323b7d4-ec96-44b6-ac51-551b6c50e3f3", + "metadata": {}, + "source": [ + "# Intersection" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "30b1834e", + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T15:56:17.206830Z", + "start_time": "2024-05-16T15:56:17.044485Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (12,3))\n", + "gs = gridspec.GridSpec(1, 3)\n", + "\n", + "ax = plt.subplot(gs[0, 0]) #plot time series\n", + "plt.title('$HG_1$')\n", + "hnx.draw(H1, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 1]) #plot time series\n", + "plt.title('$HG_2$')\n", + "hnx.draw(H2, pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "ax = plt.subplot(gs[0, 2]) #plot time series\n", + "plt.title('$HG_1 \\\\cap HG_2$')\n", + "hnx.draw(H1.intersection(H2), pos = HG_pos, edges_kwargs = {'edgecolors': edge_color_dict})\n", + "\n", + "plt.subplots_adjust(wspace=0.5)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "536380b8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1fba5a7", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": false, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": true, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/basic/Tutorial 1 - HNX Basics.ipynb b/tutorials/basic/Tutorial 1 - HNX Basics.ipynb deleted file mode 100644 index 4da0ab5d..00000000 --- a/tutorials/basic/Tutorial 1 - HNX Basics.ipynb +++ /dev/null @@ -1,1228 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import networkx as nx\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - "except ImportError:\n", - " print(\"Installing HyperNetX.........\")\n", - " !pip install hypernetx --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data\n", - "\n", - "The data in several of our notebooks are taken from the [jean.dat dataset](http://ftp.cs.stanford.edu/pub/sgb/jean.dat) available from the Stanford GraphBase at https://www-cs-faculty.stanford.edu/~knuth/sgb.html. \n", - "\n", - "

This data gives character scene incidence information from the novel Les Misérables by Victor Hugo.

" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "scenes = {\n", - " 0: ('FN', 'TH'),\n", - " 1: ('TH', 'JV'),\n", - " 2: ('BM', 'FN', 'JA'),\n", - " 3: ('JV', 'JU', 'CH', 'BM'),\n", - " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " 5: ('TH', 'GP'),\n", - " 6: ('GP', 'MP'),\n", - " 7: ('MA', 'GP')\n", - "}\n", - "\n", - "H = hnx.Hypergraph(scenes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Draw the hypergraph!\n", - "For more on using all of the parameters of the draw function, see the Visualization tutorial." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(5,5))\n", - "hnx.draw(H)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "HNX hypergraphs can also be built from networkx bipartite graph objects using `from_bipartite`" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "B = nx.Graph()\n", - "B.add_nodes_from([1, 2, 3, 4], bipartite=0)\n", - "B.add_nodes_from(['a', 'b', 'c'], bipartite=1)\n", - "# Add edges only between nodes of opposite node sets\n", - "B.add_edges_from([(1, 'a'), (1, 'b'),(2, 'a'), (2, 'b'), (2, 'c'), (3, 'c'), (4, 'a')])\n", - "\n", - "HB = hnx.Hypergraph.from_bipartite(B)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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uJj0J1QWw8T2tKxE+ToJSz+wVsqI8F/E9YMCNsOIf0oQuzokEpZ7ZrHLH+1yN/Rs0NcJP/9S6EuHDJCj1zC6zKM9ZeAKM/BOsfxsq87SuRvgoCUo9kxVlyxh+t7qFIZPQxVmSoNSrpkZwVMuKsiUEhsCEmbDrGyhar3U1wgdJUOqVvVL9KjdzWkafqyBRmtDF2ZGg1Cu7PL7YoowmmPw0FK2DrP/TuhrhYyQo9UqOqW15ncdCxvkyCV2cMQlKvZIVZeuY9CRUF8GGd7WuRPgQCUq9slWAMUA901u0nPjuMPAmtQm9eR9YCA8kKPWq+Zhag0HrStqesTPA7ZJJ6OK0SVDqlQzEaD1h8b9MQpcmdHEaJCj1SgZitK5hd6uBueRxrSsRPkCCUq9kIEbrCgxRJ6FnfStN6MIjCUq9kscXW1+fqyCxDyx8RJrQxW+SoNQr2aNsfUaj2oRevF5dWQpxChKUeuR2q60rskfZ+jqPga4XqHuVrgatqxE6JUGpR45qUJpkRekt0oQuPJCg1CM5pta74rrBwOmw4nlpQhcnJUGpR82PL8qK0nvGzgB3k0xCFyclQalHsqL0vrA4tQl9/dtQuV/raoTOSFDqkd0KBhMERWldiX8ZLk3o4uQkKPXIVgEhMWr7ivCegGCYMEudV1m4TutqhI7I30Q9kkPFtNP799C+LyySJnTxCwlKPbJJs7lmjjahb1DP2BECCUp9sstADE11Og+6TpEmdHGUBKUe2WQghuYmPQk1xbD+Ha0rETogQalHdhmIobm4rjDoZvhJmtCFBKX+KIrsUerFmL+qz93/9ILWlQiNSVDqTUMtuBtlj1IPwuJg9APq5XdFrtbVCA1JUOpNfbXaGhSaoHUlAmDYHyEsQZrQ/ZwEpd4YTTDgRojtonUlAn5pQt/9HRSu1boaoREJSr2xVUDdIQgI1boS0az3ldC+n0xC92MSlHrTUAuuerCEaF2JaNbchF6yEXZ9rXU1QgMSlHrTcFhdTRrNWlcijtVpNHS7UJrQ/ZQEpd40HAZLuNZViJOZ+ATUlKjngQu/IkGpN04JSt2K6wqDblGH+0oTul+RoNQbWVHq29i/guJWj40QfkOCUk8U5UhQhmldiTiV0HYw+kHYIE3o/kSCUg8ctepXgwEcx6wo3W7tahKnNuwPEN4eljymdSXCSyQotbTxfXhtMLx1Hnx3L1QXgrPulx7K3KWQt1LbGsWJjjahfw8Fa7SuRniBBKVWdnypHmTV6TwYcQ+U74K5D4CjCoIj1desfgX2L9e0THEKmVdAUn91Erqs/Ns8CUqt7PwauoyHKS/A4Ntg2nvqc95lO395+sNRC5EdNC1TnMLRJvRN0oTuByQotVKVDwm91L9w7iaI6aQOi3XUwJZP1NfUV6l7YUKf0kZBt9/Bkieg0aF1NaIVSVBqJSQGnDb1ss1ogiYXWCKgwyDIWaKO9nJUQ3ii1pWK3zLpCThcCuulCb0tk6DUSqcx6uFVriMrEZNZvfQOjoYpz6t9eo5aiEjWtEzhQbuMI03os9WBJqJNkqDUynn/D67/GgKPGX7hsoHJAr0ugyn/gMTeEBSpWYniNI15GFDUYyNEmyRBqRWDAQKCjv9ew2EIilD/O3Mq3LUSzIHer02cmaNN6O+CNUfrakQrkKDUE3l80XcNlSb0tkyCUk8a6iBQgtInBQTBhMdgz1woWK11NaKFSVDqicEIofFaVyHOVuY0tQl9oTShtzUSlHritEFwlNZViLNlNMLkZ6B0szShtzESlHqy7i2oytO6CnEu0kZC94ukCb2NkaDUC5cT6iukHagtmHikCX3dm1pXIlqIBKVe2I80K4e207YOce7apcOgW2GlNKG3FRKUemG3ql9DJCjbhDEPq19X/EPbOkSLkKDUC9uRoAyN1bYO0TJCY2H0n2Hje9KE3gZIUOpF86W3rCjbjqF3QXiSNKG3ARKUemGzgjkIAkO1rkS0lIAgmHikCT3/Z62rEedAglIv7FZ1NWkwaF2JaEm9pkLSAJmE7uMkKPXCZpX9ybbIaITzn4HSLbDzK62rEWdJglIv7FYIkaBskzqOUJvQl0oTuq+SoNQLW4XcyGnLJj4Bhw/Auje0rkScBQlKvbBbpdm8LWuXrh4it/LFX1rBhM+QoNQLm1x6t3nnPQQYpAndB0lQ6oG7ST1xUVaUbVtoLJz3Z9g4B6zZWlcjzoAEpR7YKwFF9ij9wZA7ISIJFksTui+RoNSD5ue8ZUXZ9jVPQt/7A+Sv0roacZokKPXAJgMx/ErmNEgeJJPQfYgEpR7YZSCGXzEYYPLTcGAr7PxS62rEaZCg1AN7BRjNEBSldSXCWzoOhx4Xw9InobFe62qEBxKUemCrUFuD5Dlv/9LchL5WmtD1ToJSD5oHYgj/EtsFBt8uTeg+QIJSD2Qghv8a85A6OGP5c1pXIn6DBKUeyIrSf4XEwHl/UZvQD+3TuhpxChKUemCrkB5KfzbkDohMlknoOiZBqQeyovRvZgtMfBz2zoO8lVpXI05CglJriqK2B8kepX/rNVVtQpdJ6LokQak1RzW4XbKi9HcGgzoJ/cA22PGF1tWIX5Gg1JrtyOmLskcpUodBj0ukCV2HJCi11vz4osyiFKDuVdaVw9rXta5EHEOCUmsyEEMcK7YLDLkdVr4EdYe0rkYcIUGpNbsVMKj9dEKA2ldpNMIKaULXCwlKrdmsEBwNRpPWlQi9CIlRj43Y+D4c2qt1NQIJSu3ZpdlcnMSQ2yGyg0xC1wkJSq3ZpNlcnERzE/q++ZD3k9bV+D0JSq3ZZSCGOIVel0OHwbDoUWlC15gEpdZkRSlOxWCAyc1N6J9rXY1fk6DUmuxRit+SOhT6XgOr/iVN6BqSoNSSosiKUnh2/jPQ7QIoWq91JX5LglJLThs0NciKUvy2kFhI7A27vwNHjdbV+CWz1gX4NXl80e/lHqpj/yEbhZV2FEUhNSaEznGhdIkLw3DsGUoZ50Pucsj6DgbcoFm9/kqCUksyEMMvNbia+G5rKR+vLWB7sbpCtJiNGAzgaFTvbvdKiuCWkWlc2i8Zs8kIljD11MYdn0P6BIhI0vIj+B0JSi3Z5Tlvf9LY5OaLjcW8uiybAzUOxnSN460bBtI/JYq4cAsAh+oa2F5Uw3/WF/Lk3CxqHI1c1jeZmDALdBkHuUvVMWwj79f40/gXCUot2eTS2x+4mtx8s6WEV5ZlU1xVz8V9krhvQgbp8WEnvDY+PIiJPYOY2DOBrNIaVuw7xCtLs7lxRBqd48Ig8wpY9waUZ0FCTw0+jX+SmzlaslvBEgnmQK0rEa3A7Vb4v60lTH7pJ/7y5XZ6tY9kwf3n8co1/U8akr/WMymS6SPSiI8IYs6qPGrrG6HDIIjpzNjzL+ZPf/pT638IAUhQakuOqW2TFEVhwc4DXPDyT9z/2VbS2oUy995RvHnDQLolhp/RewUHmrluaCoK8PHaArUJPWMSNNqhoa51PoA4gVx6a8leIfuTbYiiKPy49yCzF+1jV2kto9Lb8dy0PgxIjT6n940MCeTKgR2Y83M+RZV2UpIGqtOmaopbqHLhiawotWSzyh3vNkBRFFZmH+Ly11dzywcbCQ008787hvHJbUNPKySLi4t57bXXePXVVyksLDzpa3p3iCQ6JICV2VYwmSEoEldNGffccw9RUVHExsby6KOPoihKS388gawotWW3QnwPrasQ52Dd/gpmL97H+rxK+qVE8fGtQxiV3u74HsjfsHTpUi699FJsNhsADz/8MF999RVTpkw57nUmo5EBHaPZmF915BsWPly2g1tvH8W6devYuHEjd9xxBx07duT2229v0c8oJCi1JY8v+qzNhVW8uGgfq3Ks9EqKYM70QYzrFn/aAQngdru59dZbj4YkQH19PbfeeiuFhYWYzcf/9YwPD6LG0YjT5QZTACmxobz05EMYolLp1q0bO3bs4KWXXpKgbAVy6a0lGYjhc3aW1HDLBxuY+vpqDh528Ob1A5h77yjGd084o5AEKCsro6Cg4ITvHzhwgKKiohO+Hx0SAArU2J1gMjOsazyG+qqj///w4cPJzs6mqanpzD+Y+E2yotRKowOcdbKi9BF7yw7z0uJ9LNhVRud2obx8dT8u6pOEyXhm4Xis2NhYQkJCsNvtx33fYrEQFxd3wuttTjUAQ4PMv8ynDDyzu+ji7EhQaqX5qRxZUera/kN1/GtJNt9vL6VDdDAvXNGHy/sfeazwHFksFh566CEef/zx477/wAMPEBZ2Yp9lha2B4EATIYFmaHKydt/B4/78rF27loyMDEwmOX+ppUlQakWeytG1oko7Ly/N5uvNxSREBPHMZb25YmAHAs0tu1v12GOP0bFjRz755BMUReHqq68+5R7jrpJaUmNC1B80NVJUYefBGY9x5113sXnzZl599VVmz57dovUJlQSlVmRFqUul1fW8uiyHLzYWER0ayKyLenL1kFSCAlpvlTZ9+nSmT5/+m68prrKTZ7Vxy8g0dY5pQy03ThlCvcPBkCFDMJlM3Hvvvdxxxx2tVqc/k6DUSvPkINmj1IWDtQ5eX57Lf9YVEhZk5qELunHDsDSCA7W/jG1yu/l6czHRIQFkdoiEyjyWzxyvDsZo35c33nhD6xLbPAlKrditEBACgSFaV+LXKuoaeOun/Xy0Jp9Ak5H7JqQzfWQnwiz6+auxcFcZ+w/ZuGdcOmajEXIWq1ciCb21Ls1v6OdPg7+RHkpN1dgbeWflfub8nIfRYOCO0Z25dXRnIoMDtC7tKEdjE8t2H2TFPisX900iPSEcCtdA0ToYeDMYpbvPWyQotSLH1GrisKOR93/O552V+3E1Kdw0Io07z+tMdKi+Jjit21/BCwv3MrRTDFcO6sCgtBioKYFNH0HqCEgbpXWJfkWCUis2GYjhTXaniw9XF/DWT7nYnU1cP7Qjfxjb5ejAXL0oqrTz7PzdzNtRxoj0WG4ckUZCRBBYc9Q5lKFxMOB6dYqQ8BoJSq3YKyCmk9ZVtHmOxiY+XVfIG8tzqKlv5KrBKdwzLoPEyCCtSztOXYOL13/M4d1VeUSHBPDi7/tyWb9kjAYgZxls+y/EdIahd4FZX7X7AwlKrdit6hBW0SqcLjf/21jEa8uysdY5mTYgmXvHZ5ASo6+bZ263wpebi3lh4V5q6xu567zO3DW2i9pUXrZTPaK2dDOkT4Te08Aof2W1IL/qWpERa63C1eTm680lvLw0m9Kaei7rl8x9EzLo1C5U69JOsD6vkifn7mJnSS0X903ir1O6kxwVDHUHYf6TsPt7OO//wYh7Ia6b1uX6NQlKLTQ1gqNa9ihbUJNb4bttJby8JJv8Cju/692eD24eTEaC/p6FLqq089z8Pfyw4wB9OkTy5V3D1Zs1rgZY9RL8NFudOTlhFgy8SVaROiC/A1qwV6pfZUV5ztxuhfk7y3hpyT5yDtYxsUcC/75uAL2SIrUu7QS2BhevL8/hnZV5RAUH8M8r+zK1/5F9yKzvYPFMqC6CIbfDmIchJEbrksUREpRakGNqz5miKCzZfZAXF+9j94FaxnSNY/aVfembEqV1aSdwuxW+3lLC8wv2UF3fyB2jO/OHsV0ItZihbAcsmAH5K9V9yGs/l8tsHZKg1ELzQAzpozxjiqKwYt8hXlq8j23FNQzrHPPLpasObcyv5Mm5WWwvruF3fdozY0p3OkSHQN0hWPgUbP4I2mXAdV+qh4YJXZKg1IJdJgedjTW5FcxetJeNBVUM7BjNf24byoh0fa7KS6rreW7+Hr7fVkrv5Ei+uGs4g5v3IX9+BX56Qe2FvOA5GHwrmPTzRJA4kQSlFmwVYAwAS4TWlWiivNbB3O0HGNctjs5xns+3Lq6y8+y83fywo4zeyZG8f/NgxnaNO+OJ4t5gd7p4c3kub/20n4jgAJ6/og9XDOig7kPu+QEWPgLVhTDoFhj3N9mH9BESlFqwH2kN0uFf9NbkdLn5aE0+byzPpdLuxGjoSWpMyCmH4BZW2PhhxwGcLjdx4RbevmEgk3qe+ZEL3uB2K3y7tYR/LNhDlb2R20Z14o/j0tXhGmU7YeEMyPsJuoyHa/4rh8r5GAlKLfjpQIziKjvbimt4+ILubC2u5sPV+YzvHk/H2ON7HEuq7MzbUcaOkhriIyxc0jeJzKRIjOdw7EJr2lRQxZNzs9hWVM2FvROZMaWH2thus8Kip2Hzh+pTNdd+DhmT/e4fyLZAglILfjoQIzk6mGsGpzAoLYapA5Lp+dhC5u8s49ZRnQgwGSmrqWfezjK2FlbTLiyQ64elMqhjjG4DsvTIPuR320rp2T6Cz+4YxrDOseBywupXYcXzaihOfgYG3wZmfQ3eEKdPglILtgoIT9S6Cq+zmE3H3Xy5eWQaH68pYFBqNLvLatlYUEVUcCBXD05hSOcYdfaiDtmdLt5csZ+3f8olzGLmH9N6c8XAFEwGYM88WPQIVOWr+5Bj/+aX/yi2NRKUWrBbITFT6yo00+RWMBkN3DIyjTmr8pj5fzvplxLFtAEdGN4lloAWOLirNbjdCt9tK+W5+XuotDm5ZVQn7h7XhfCgACjPUvch9y+HzmPhqk8hoafWJYsWIkGpBT/do2xW52hk3o4y1udX0C0hnOLqel4ckUaP9hG43QqKoujuhs2Wwiqe+D6LrUXVXNArkRkXdlf3Vm0VMPcZ2PQ+RHeCaz6DrhfIPmQbI0HpbW431Ff65eVYraORJVnlrMqxYjYamNK7Pc9OjWPwM0uYv7OM4qp65m4v5aI+SUzqmaB1uQAcqKnn+QV7+WZLCT3aR/Df24cxvMuRfcg1r8OK50ABJj0FQ+6Qfcg2SoLS2+qrQHH71YqyzuFi2d5yVuy1YjLApB4JjOkWR5DZhNFo4MLM9ry6LBuAqf07MKKL9v+I1DubePun/by5IpeQQBPPTu3N7wcd2YfctxAW/g0q98OAm2D8o/LcfhsnQeltfnRMbb3Txfr8KuZuK0UBxnZrx/juCeozzsChww08+PlWVuVYuW5oKvdNyCA+XNuhtIqi7kP+Y/4eDtU1cMvITtw9Pp2IoAA4uFsNyNxl0Ok8uPJDv95r9icSlN5ma/sDMWwNLj5Ync/POVZGpbdjZHos43skqGHzK72TI3nq0kzSdDAvcltRNU98v4vNhdVM7pnA3y7sodZlr4Qf/g4b50BUKlz9H+h2oexD+hEJSm9rwytKR2MTH68p4M0VuRx2uLhxeCrXD0slIvjk+3Zx4RYeuqC7l6s8UVmNg+cX7uHrzSV0Twz/5RnypkZY+wYsfxYUBSY+DkPvBLO+ztkRrU+C0tvsFWAwQVCU1pW0mAZXE5+tL+LfP+ZQaXNy5aAO3DM+Q53WrWOORnUf8o3luQQHmnjm8kyuHpyKyWiAfYvUy+yKHHV47rhHISxO65KFRiQovc1WoQ5C0Gkz9ZlobHLz5aZiXl2aTVmtg8v7d+D+CRmkxurrXJpfUxSFudsP8Nz8PRw87GD6iDTuGZ+hnul9aK8akDlLIG00XPk+JPbWumShMQlKb7P7fg+lq8nNt1tLeWVpNoWVdi7um8T9EzJIj/c8CUhr24urefL7LDYWVDGxRwKf3DZUPU/HXgnznoMN70JUClz1CXS/SPYhBSBB6X0+fKiY260wd8cB/rVkH/sP2Ti/VwJv3ziQ7on6HxdXXuvghYV7+XJTMV0Twvj41iGMzohT9yHXvQU//h3cTeo5NcP+IPuQ4jgSlN5mt/rcwF5FUVi4q5x/LdnHnrLDjOsWx8tX9ad3B/2dS/NrjsYm3luVx79/zMFiNvLUZZlcMzhFHe2WvUS9zLbug/7Xw/iZEK6PRnehLxKU3margNh0ras4LYqisHzvIWYv3svOklpGpsfy1R9GMLBjtNaleaQoCvN2lPH3ebspr3Vw04g07pvQvA+5Tx1ckb0IOo6Eae9A+75alyx0TILS23xgRakoCj/nVDB78V62FFYzJC3mlxFiPmBnSQ1Pfp/F+vxKJnSP5+Nbh6iT1OurYP4/YMM7EJEEv/8Ielwi+5DCIwlKb1IU3Q/EWJ9XyexFe1mXV0nflCg+umUIozPa6W5IxckcPOzgnwv38sWmYtLjwvjoliGc1zUOmlyw/h348Rl1T3Lc32DY3RCg7VNAwndIUHpTQy24G3U5EGNrUTWzF+1lZbaVnu0jeO+mQYzvHu8TAdm8D/n6jzkEmI08cUkvrh2Squ5D5ixV9yEP7YX+1x3Zh/S/WaDi3EhQepMOH1/cVVrDS4v3sWT3QTLiw3jjugGc3ytRt1PFj6UoCgt2lvH3+bs5UO3ghuEduX9CBlEhgWDNUfch9y2A1OFwx4+Q1F/rkoWPkqD0JnuF+lUH7UH7yg/z0uJ9zN9ZRqd2obx8dT8u6pOkPpXiA3aW1PDU3CzW5VUyrlsc708fovZx1lfDgsdh/VsQngRXfgA9L5N9SHFOJCi9SQcryv2H6nh5aTbfbSslOSqY56/ow9T+yac8CVFvDh1uYPaivfxvYxGd24Xywc2DGdstXt2H3PCu2g/Z6ICxM2D43RCg78cohW+QoPSm5oEYGpzlXFRp55Wl2Xy9pYS4MAtPX5bJlQNTCDT7RkA2uJp4/+d8XluWg8lo4LGLenLdsI7qsRG5P6r7kAezoO+1atN4RHutSxZtiASlN9ms6jAM04njxlrLgZp6Xl2Ww+cbiogKCeTR3/XgmiGpBAWYvFbDuWhudv/7vN2UVNdzwzB1HzI6NBAqcmHRo7B3HqQMg9t/hOQBWpcs2iAJSm+yV3htf/LgYQev/5jLf9YXEhpo4i/nd+OG4R0JCfSd3/Ks0lqempvFmv0VjOkax5zpg0iPDwdHDSx8Qn30MDwRrpgDvabKPqRoNb7zt6Yt8EIPZaXNyVsrcvlwTT4BJiP3jkvn5lGdCLP4zm+1ta6B2Yv28b8NhaS1C+X96YMZ1z1efRZ74xxY9gw02mHMQzDiXtmHFK3Od/72tAX21huIUVPfyLsr9zNnVR4At4/uzG2jOhMZ4r3L/HPV4Griw9X5vLo0B4MBHv1dT24YfmQfcv8KdR+yfCf0vebIPmSS1iULPyFB6U02a4s/U1zX4OL9VXm8vXI/jU1ubhqRxp3ndSEm1HdOA1QUhcVZ5TwzbzfFVfVcNzSVP03sqn6Gyv2waCbsmQsdhsBty6DDQK1LFn5GgtKbWnCP0u508dGaAt5akYutoYnrhqXyh7FdND+c60ztKVP3IX/OqWB0RjveuXEQXRPCwVELi56CdW9CaBxMew8yp8k+pNCEBKU3tcAepaOxif+sK+T15blU251cNTiFe8an0z7St/bpKuoaeHHxPv67vpCOsaG/PDKpuGHTB7DsaWiog9H/T92HDNT31HTRtklQeovTDq76s15ROl1uPt9YxGvLcjhU18DU/sncNyGDlBjfChCny81Ha/J5eal6jvffLuzBjcPT1H7OvJWwYAaU74Dev1cP84pM1rZgIZCg9J6jzeZnNhDD1eTm6y0lvLI0m5Lqei45cuxC5zj9H7twLEVRWLr7IM/M201BhY1rh6bywMSuxIZZoDIPFs+E3d9D8iC4dQmkDNa6ZCGOkqD0FtuZHVPb5Fb4flspLy/NJs9q48LeicyZPljdv/Mxe8sO8/QPWazMtjIyPZY3rh+gHh/hqIXFf4e1r6tbElPfgcwr2sTBa6JtkaD0luaBGB72KN1uhQW7ynhp8T6yD9YxsUc8r13bn15J+j924dcqbU5eWryPT9cVkBoTwjs3DmJijyP7kJs/gqVPqaPnRj0AI++HwFCtSxbipCQovcXm+dJ7xb5D/GP+HrIO1DI6ox0vXNmXfilR3qmvBTldbj5eW8DLS/ahKDBjSg9uGnFkHzL/Z1jwVyjbrq4eJz6unnoohI5JUHqL3QqBYSedqt3Y5OaFhXt5+6f9DOkUw+d3DmdIJ+8PzjhXiqLw496DPD13N/kVNq4eksqDk7rSLswCVfmweBZk/R8kDYBbFkHqUK1LFuK0SFB6i+3kZ+UcOtzAHz/dxJbCamZe1JNbRqZhMBhoyM6m+ptvacjJprGsnPAx52Hp1g1DUBABHVII6pqBQUd7ednlh3lyrroPObxzLP++bgA92kdAw2FY8hys+bc6Nenyt9Q72jqqXQhPJCi95SSPLzpdbm7/aCMl1fV8dscwBqXF4Ni7l/Knn8G+YQOm2FiC+/Yl8ncXEpTZG2d+Hq7sHBzbt1O/PYWw80YTmKjtsQZVNif/WrKPT9YV0iE6mLduGMjkngkYFAW2fAJLn1SHWIy8X/2fxbfu1gsBEpTeY6s44UbO3+ftZldpDV/cNYJ+KVFUf/MtZU88QWBKB5Jm/5OISZMwBB7zKOLIESiKgjM/H9vqNTiysmiqqcGSno7R5N2xaY1Nbj5ZW8C/lmTT5FZ46PxuTB+ZhsVsgoLV6j7kgW3qVJ9JT0BUqlfrE6IlSVB6i90K7boe/eGSrHI+WJ3Pk5f2ol9KFFVffEHZzFlETp1K4qyZGINO/iiiwWDA0qkTgWlpOAsKsG/YQFNlJaHDhnntIDB1HzKL/VYbVw9O4cFJ3YgLt0BVASx5DHZ9A+37wS0LIXWYV2oSojVJUHqLzaoecnXE68tzGN45lhuGdaR+1y7Kn3qaqKuuov0Tj5/W2xkMBixpaWAyYVuxAnNUNEE9urdO7UfkHDzM0z/sZvneQwztFMMr1xxpW2qog6XPw+pXITgaLnsD+lwt+5CizZCg9JZjBmLsLKlhc2E1b16vTsEpmzkLS3o6CX+bccZva0lJoal7d+xbNhPQMRVTSMs/0lhtd/KvJdl8vLaApKgg3rxePanRoCiw9T+w5Amor4IR98CoB2UfUrQ58k++N7ga1MbqI3uUn64rJDEiiIk94nFs24YjK4u4B/6E0WI5q7cP6tMHjEYacnKOfm/BggWMGjWKqKgoYmNjueiii8jNzT2zspvcfLg6n7H/XM4XG4v48+SuLH5gDBdktsdQtA7eHQ/f/kG9vL5ngzojUkJStEGyovSGXx1Tu6Wwigk94jGbjBz88ksCUlIIHTnypD917dq1fPPNNzQ0NNCvXz+uvvpqgn61f2kMDCQwLY2GnFxC+vQBwGaz8eCDD9K7d29sNhuzZs3i8ssvZ+vWrRhP45J4xb5DPD03i5xDdfx+YAp/Pr+rOsKtukjdh9z5lTpb8+b50HHEOfziCKF/EpTecMwxtYqiUFRpZ+oAdSpOw+49hA4betKeyFWrVjFnzhzq6+sBWLhwIQcOHGDGjF8u0RVFwWAwEJCYiDMnB3dDA0aLhWnTph33Xu+99x7x8fFkZWWRmZl5ylJzD9Xx9Nwsftx7iCFpMXx/zygykyPBaVOPYFj9CgRFwqX/Vk88lH1I4QckKL2heXJQaCyVNic2ZxOpR8ajOYuLCZ88+aQ/bf369UdDstn27dvJX7GC5IwMApKSjt7pNoaqz0m76+owWizk5uYyc+ZM1q5di9Vqxe12A1BYWHjSoGxobOLlpdm8/dN+EiODeP26AUzJPLIPue0zWPI42CvVs7JHPwgW3xvOIcTZkqD0hiaX+tVopq5B/e9QixlFUXDbbEdD7tcKCwtP/KaiYH/kUQ6OHk3U5ZcT0D4Rc0IChsBAlIYG3M5GFEXh4osvJiUlhXfeeYekpCTcbjeZmZk4nc7j3s7tdlNSbWfFXitfby7mgUlduXVUJ/U426L1aj9kySbocQlMfgqi01ryV0YInyBB6Q3NzdbVhbRPTsJggJKqevWSOSmJxtLSk/60xMREysvLj/teB4MBo91OU3k5jj27qd+xnYD4eEyxsTiysgju14/DgQHs3r2bt956i9GjRwPqZfyvlVTZyTpQg83ZRGyYhe/vGUVcRBDUFKsryB1fQGJvmP4DpI1q0V8SIXyJBKU3NAdlVT6BHUeQFBlMYaUdgMCUFBpysk/602655RaeffZZysrKALBYLFz9xz8Su3YtGE1EXDAF+8YNOPPycG3eAkYjrtpawhwOYmNjefvtt2nfvj2FhYX89a9/Pfq+NXYnGwuqKKqqp0diOH2TQ4mPDFKnsP/4LPz8snr3+pJXod91YPTuUz9C6I0EpTcEhkBYovrkCpDWLoQdJTUAhE0YT/kzf6exvJyAhITjflp8fDwvvPACO3fupL6+nl69ehEREUFjxzSK776biAunEHnhhbhdLspmPYYhKAjH9u04tm/ng2ef5aGXXiIzM5Nu3brxyiuvMHbsWLLLD1O7rZTgABPju8WREhOCAdTHDb++EypzYdgf1LNqgiK8/AslhD4ZFEVRtC7CL3x0KbibYPpc/rehkL9+vYOf/jKOpEA3OeeNIfq6a4n/8589vk3zXe7DK1bgOmQlaurlOLKzqXznXaJvuhFjQAD2DRuJuOB8zHFxgLoPua+8jq1F1biaFHp3iKBXUiRmkxEOl6vDKxw1cPgAjJsBMZ1b+1dDCJ8ivR3e0u96yF8Jh/ZxSd9kwi1mPl1XiCksjJjp06l4bw62TZs9vo3BYEBpalKf7TabsW3eTO1332OKiSa4Vy+Cuncn5obrj4ZkabWd77cfYG1eJclRwUwdkEzflGjMLjsUb1LbfZqcMHA6THtHQlKIk5Cg9Jael6hP5mycQ3CgiSsHpfDpugKKKu20++MfCBk8mIp33qHRavX4VgaTCaPFQsjAAdT+8AOusgOEn38+BqMR5UgbUI3dybLd5SzKOkiAycjveicyumscIWZFDch9C6EiB7qeD2MehlgJSCFORS69vWnJE7DhPXhgJzXuYC56bSWRwQF8edcIzDVVVH31Fe46G6EjRxA6ZMhvDuZ1Fhbi2JeNs7gIU1gYkRddhDEoiAZXE9uLa9h9oJbgABMDO0bTqV2oug9ZkQtF69SbNmkj1dXjSSauCyGOJ0HpTTXF8O+h6ipu2nvsLK1l6hurubRvEs9N64PB1UjdqlU4duxAaXIT3K8vlk6dMcfGYAgIwFVZSWNpKfZ162ksO0D4+RcQ0r8fhqAgMJrIPniYLYUn2YesK4eCNerX6I6QOkJu1AhxBiQovW3n1/DlzXDhP2HI7Xy5qZiHvtzGiC7tePnqfsSGWWjIz8exew+NhQW4rFaaqqrgmN+mwPR0QkePJrhHDwwmEwdq7KzPq6LK3kiXdqH07xhNmMWsjj8rXg/WbAiOgY7DIbKDhh9eCN8kQamF+Q+rl+A3z4eUwazOsXLfZ1swG408dnFPJvVMwGwy4nY4aKqpxW2rw+10YgoNxRQdjSlMndBTZWtgR0kN+6124sICGZIWozaMN7nUdp8DW8Fohg6DIa67PJctxFmSoNSCywkfXgTlu9Sm7syplNc6+PPn21iVYyUxIohrh6YytlscqTEhRAYHYDAYcLrcHHY0km+1sTrXSmpMKBgUMpOj6Ny8D1mZC4VH9iETMyG5P5hlH1KIcyFBqZWGOvj+PnVc2dC7YNJTYA5kZ0kNn64r4NstpdQ3NgEQHmQmOMBEoNlIRnwYXeLDGJAaxeC0GGJDLRiNBqizqpfZdeUQmQLJgyEkUuMPKUTbIEGpJUWBDe/CghkQ3x1G3K+2EZkt2Bpc7D9ko7DSTlGVHUdjEynRIaTGhtC5XSixYRb159dXqzeJKverd7Db94VwbU9mFKKtkaDUg+JN6jDc/JVqr+WAG6HXZWr7zq/HmbmcUFME+39Ux5+5XdBxtPr69v3Ay6cxCuEPJCj15NBe9SbPtv+qR0cAhMSqo83MQeqz4rUlgAIGI3S7EAbfCp3Gyo0aIVqRBKUeOW3qjZ6qAqjKh+p8aHSoPZDRaRDVEeJ7QFi8xoUK4R8kKIUQwgO5XhNCCA8kKIUQwgMJSiGE8ECCUgghPJCgFEIIDyQohRDCAwlKIYTwQIJSCCE8kKAUQggPJCiFEMIDCUohhPBAglIIITyQoBRCCA8kKIUQwgMJSiGE8ECCUgghPJCgFEIIDyQohRDCAwlKIYTwQIJSCCE8kKAUQggPJCiFEMKD/w8ok5HUk1HKcgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(4,4))\n", - "hnx.draw(HB)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All hypergraphs have a natural dual structure where the edges and nodes switch roles. Edges become nodes and nodes become edges. This can be constructed by calling the `dual` method for a given hypergraph." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'H-dual')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = plt.subplots(1,2,figsize=(15,5))\n", - "HD = H.dual()\n", - "hnx.draw(H,ax=ax[0])\n", - "ax[0].set_title(\"H\",fontsize=15)\n", - "hnx.draw(HD,ax=ax[1])\n", - "ax[1].set_title(\"H-dual\",fontsize=15)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Hypergraph methods\n", - "There are many simple methods to begin to familiarize yourself with the hypergraph." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['CC', 'FN', 'JV', 'TH', 'MP', 'MA', 'BR', 'CH', 'BM', 'JU', 'GP', 'JA', 'CN']" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Use list() to get just the names of the nodes and edges\n", - "list(H.nodes)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[0, 1, 2, 3, 4, 5, 6, 7]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(H.edges)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(13, 8)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# The number of nodes and edges is returned by the shape property\n", - "H.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The degree of a node is the number of edges it is contained within. The optional `s` parameter places a restriction on the size of the edges you consider (default `s=1`). The degree function looks for all edges of size $\\geq s$.\n", - "\n", - "Note: `H.s_degree(node)` is a wrapper for the degree method and returns the same thing." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.degree('JV', s=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `dim` (dimension) and `size` methods return information about an edge. The size is the number of nodes contained in an edge and the dimension is one less than the size. The dimension is so named because if we consider a hypergraph as a [simplicial complex](https://en.wikipedia.org/wiki/Simplicial_complex), then each edge is a simplex. The dimension of a simplex is one less than its number of nodes." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(3, 4)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.dim(3), H.size(3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `neighbors` method returns an iterator that goes through all nodes which share an edge with the given node. This method also has an `s` keyword argument to return the list of neighbors that share `s` edges with the given node, the default is 1." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BM\n", - "BR\n", - "CC\n", - "CH\n", - "CN\n", - "JU\n", - "TH\n" - ] - }, - { - "data": { - "text/plain": [ - "['BM', 'BR', 'CC', 'CH', 'CN', 'JU', 'TH']" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "for nei in H.neighbors('JV',s=1):\n", - " print(nei)\n", - " \n", - "# As with any iterator you can get all of the values in a list\n", - "list(H.neighbors('JV'))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Hypergraph representations\n", - "There are different ways representing the data contained within the hypergraph. `H.incidence_dict` returns a dictionary whereas `H.incidence_matrix()` returns a scipy sparse matrix in Compressed Sparse Row format. `H.bipartite()` returns a networkx bipartite `Graph()` object." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN', 'TH'],\n", - " 1: ['TH', 'JV'],\n", - " 2: ['BM', 'FN', 'JA'],\n", - " 3: ['JV', 'JU', 'CH', 'BM'],\n", - " 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", - " 5: ['TH', 'GP'],\n", - " 6: ['GP', 'MP'],\n", - " 7: ['MA', 'GP']}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.incidence_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0, 0, 1, 1, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 1, 0, 0, 0],\n", - " [0, 0, 0, 1, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 1, 0, 0, 0],\n", - " [1, 0, 1, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 1, 1, 1],\n", - " [0, 0, 1, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 1, 1, 0, 0, 0],\n", - " [0, 1, 0, 1, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 1],\n", - " [0, 0, 0, 0, 0, 0, 1, 0],\n", - " [1, 1, 0, 0, 0, 1, 0, 0]])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "M_incidence = H.incidence_matrix()\n", - "M_incidence.toarray()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "## Networkx and HyperNetX visualizations of the bipartite representation of the hypergraph\n", - "fig,ax = plt.subplots(1,2,figsize=(15,6))\n", - "BH = H.bipartite()\n", - "top = nx.bipartite.sets(BH)[0]\n", - "pos = nx.bipartite_layout(BH, top)\n", - "nx.draw(BH, with_labels=True,pos=pos,ax=ax[0], node_color='lightgrey')\n", - "hnx.drawing.two_column.draw(H,ax=ax[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Connected components\n", - "Just as is done in graphs, we can consider connected components of a hypergraph. But because edges can intersect in any number of nodes, the connected components can be computed for different levels of connection strength. HNX has two main methods for exploring the components:\n", - "* `s_components`\n", - "* `s_component_subgraphs`.\n", - "\n", - "To learn more about some of our research in this area, check out our paper, [Hypernetwork science via high order hypergraph walks](https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00231-0)\n", - "\n", - "`s_components` returns a generator object which iterates through the edge sets for each s-connected component. " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1-component edge sets:\n", - "{0, 1, 2, 3, 4, 5, 6, 7}\n", - "\n", - "2-component edge sets:\n", - "{3, 4}\n", - "{0}\n", - "{1}\n", - "{2}\n", - "{5}\n", - "{6}\n", - "{7}\n" - ] - } - ], - "source": [ - "print('1-component edge sets:')\n", - "for comp in H.s_components(s=1):\n", - " print(comp)\n", - "\n", - "print('\\n2-component edge sets:')\n", - "for comp in H.s_components(s=2):\n", - " print(comp)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`s_component_subgraphs` returns a generator object which iterates through the sub-hypergraph for each s-connected component. " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1-component sub-hypergraph incidence dictionaries:\n", - "{0: ['FN', 'TH'], 1: ['TH', 'JV'], 2: ['BM', 'FN', 'JA'], 3: ['JV', 'JU', 'CH', 'BM'], 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'], 5: ['TH', 'GP'], 6: ['GP', 'MP'], 7: ['MA', 'GP']}\n", - "\n", - "2-component sub-hypergraph incidence dictionaries:\n", - "{3: ['JV', 'JU', 'CH', 'BM'], 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM']}\n" - ] - } - ], - "source": [ - "print('1-component sub-hypergraph incidence dictionaries:')\n", - "for comp in H.s_component_subgraphs(s=1):\n", - " print(comp.incidence_dict)\n", - "\n", - "print('\\n2-component sub-hypergraph incidence dictionaries:')\n", - "for comp in H.s_component_subgraphs(s=2):\n", - " print(comp.incidence_dict)\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The methods `component_subgraphs` and `connected_component_subgraphs` are wrappers for `s_component_subgraphs`. The methods `components` and `connected_components` are wrappers for `s_connected_components`.\n", - "\n", - "The `is_connected` method with optional parameter `s` (default `s=1`) returns `True` or `False` depending on whether the hypergraph is s-connected." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(True, False)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# The Les Mis example hypergraph is 1-connected but not 2-connected\n", - "\n", - "H.is_connected(s=1), H.is_connected(s=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# s-Line Graphs and s-Adjacency matrices\n", - "\n", - "In graphs, two nodes are considered **s-adjacent** if they share s edges. In hypergraphs, two nodes are **s-adjacent** if they are co-incident with at least s hyperedges. Similarly, two hyperedges are considered **s-adjacent** if they are co-incident with at least s nodes.\n", - "\n", - "An **s-linegraph on the nodes** of a hypergraph is a graph on the nodes of the hypergraph where edges connect s-neighbors.\n", - "An **s-linegraph on the hyperedges** of a hypergraph is a graph using the hyperedges as nodes where edges connect s-adjacent hyperedges.\n", - "\n", - "The corresponding adjacency matrices are the **s-adjacency** and **s-edge adjacency matrices**.\n", - "An s-adjacency matrix with the zero rows and columns removed is called an **s-auxiliary matrix**.\n", - "\n", - "**Note**: At present these matrices are unweighted, we will introduce weighting in a near future release." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "matrix([[0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0],\n", - " [1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## the adjacency and auxiliary methods return a matrix and has an optional keyword argument to return an\n", - "## index of the row and columns ids\n", - "\n", - "H.adjacency_matrix(s=2).todense()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "matrix([[0, 1, 1, 1],\n", - " [1, 0, 1, 1],\n", - " [1, 1, 0, 1],\n", - " [1, 1, 1, 0]])" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.auxiliary_matrix(s=2).todense()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(<4x4 sparse matrix of type ''\n", - " \twith 12 stored elements in Compressed Sparse Row format>,\n", - " array(['BM', 'CH', 'JU', 'JV'], dtype=object))" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.auxiliary_matrix(s=2,index=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Distances and diameters\n", - "Just as connected components of graphs can be generalized to s-connected components in hypergraphs, the distance and diameter can be generalized to s-distance and s-diameter in hypergraphs.\n", - "\n", - "We can compute s-distance between edges using `edge_distance` and between nodes using `distance`. See the glossary in the documentation for detailed definitions of distance between edges and between nodes." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Optional parameter s is not shown, defaults to s=1\n", - "H.distance('MA', 'FN',s=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Optional parameter s is not shown, defaults to s=1\n", - "H.edge_distance(4, 6)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the edges or nodes are not $s$-connected then the $s$-distance displays a warning and returns `inf`." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "inf" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.edge_distance(4, 6, s=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The $s$-diameter (`diameter`) is the longest distance between any two nodes and the $s$-edge diameter (`edge_diameter`) is the longest distance between any two edges." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4, 3)" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Optional parameter s is not shown, default is s=1\n", - "\n", - "H.diameter(), H.edge_diameter()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Below is a drawing of the hypergraph to help confirm the outputs:\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the hypergraph is not $s$-connected then the diameter methods throw a `HyperNetXError`." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "# ## Uncomment this cell to test the error message\n", - "# H.diameter(s=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If your hypergraph is not s-connected but you want to explore the s-diameters of all of the s-connected components (edge or node), use `node_diameters` and `edge_diameters`. These methods return a tuple where the first element is the maximum diameter over all s-components, the second element is the list of all s-diameters, and the third is the list of the s-components (edges or nodes)." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1,\n", - " [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", - " [{'BM', 'CH', 'JU', 'JV'},\n", - " {'BR'},\n", - " {'CC'},\n", - " {'CN'},\n", - " {'FN'},\n", - " {'GP'},\n", - " {'JA'},\n", - " {'MA'},\n", - " {'MP'},\n", - " {'TH'}])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.node_diameters(s=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1, [0, 0, 0, 1, 0, 0, 0], [{0}, {1}, {2}, {3, 4}, {5}, {6}, {7}])" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.edge_diameters(s=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Collapsing nodes and edges\n", - "Sometimes a set of nodes are in the exact same set of edges, or more than one edge encloses the exact same set of nodes. We call these duplicate nodes and duplicate edges. They can be collapsed to a single representative using `collapse_nodes`, `collapse_edges`, and `collapse_nodes_and_edges`.\n", - "\n", - "There are some parameters that can be used:\n", - "* use_reps = True/False : default is False and each \"supernode\" is represented by a frozenset of the nodes which it represents. If use_reps=True then a single representative will be chosen from those sets.\n", - "* return_counts = True/False : default is True and it keeps the counts of the nodes within each supernode. However, this only works when use_reps=True because if use_reps=False then the counts are just the sizes of the frozensets.\n", - "\n", - "Keeping the default parameters and running the function with no arguments works best with the draw method." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN: 1', 'TH: 1'],\n", - " 1: ['JV: 1', 'TH: 1'],\n", - " 2: ['BM: 1', 'FN: 1', 'JA: 1'],\n", - " 3: ['BM: 1', 'CH: 2', 'JV: 1'],\n", - " 4: ['BM: 1', 'BR: 3', 'CH: 2', 'JV: 1'],\n", - " 5: ['GP: 1', 'TH: 1'],\n", - " 6: ['GP: 1', 'MP: 1'],\n", - " 7: ['GP: 1', 'MA: 1']}" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H_node_collapse = H.collapse_nodes()\n", - "H_node_collapse.incidence_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Running the draw function on a collapsed hypergraph will show the supernodes as larger, depending on how many nodes each represents." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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/+nUj1joTuj2leI2JRKFteY6iPWbPno0kSdx7773nXLv//vuRJInZs2efc78kSSiVSmJjY3n00UfR6fXINUqUARrcorxxT/BHkxSA3EuFKtobtzjHijasdmwmK4/991kGDhyIWu1O397J6LMqMObWOFa21Rix2+xUVVV1qSGx00TPRRA6nwguTlSfXgwSaAYEt3ivxWJh165dbNq0ierq6jbVExkZyVdffYVer294zWAw8OWXXxIVFXXO/ZMnT6awsJDjx4/zwgsv8O677/Loo4+ec5/kJkNSyrBWGVAFa1DHaFEEuCNTyZFrVdzxpzu5/qoZSHLJsRm0XI/heDXVP5+g+NuD6HQ61KV29AfLMRXUYdWZsdvtbXpvHUGpVIrgIgidTAyLOZFuZzGalEDkHspm71u2bBkPPvgg+fn5ALi7u/N///d/PP/88w1H8Danf//+HD9+nKVLlzJz5kwAli5dSmRkJLGxsefc7+bm1nCW/S233MKaNWtYvnw58+bNa3SfJJPhnuiH/kAFddsKkWvdMB6pRO6v5q0P30WuUfL3v/+d/UcOokl2TPDbTBZU4Z4U5xfCCfA0u6E/UO7Ym6NRoNtTikLrhjLEA0WwBmWwB8oQDXLPzjtWWKFQiGExQehkIrg4id1qw1Kmx3NkeLP3rVq1ihkzZjT6jV6v1/Ovf/0LvV7PG2+80ar67rjjDhYsWNAQXObPn8+cOXNYu3Zti8+6u7s3+rCNiYlh9uzZ/P3vf0cZ7gVIGHNqMBfUoe7thyrGu8nNkzKVAlWIgvoqCwqFgpCJvZAkybGIoN6CXKvCnFePKa+W+l3FcGrlmsxDiTJYcybohHigDNZ0SPobMSwmCJ1PBBcnsVY5Vl8p/NTN3vfkk082OVT09ttv88gjjxAZGdlifbNmzeKpp54iOzsbSZLYtGkTX331VYvBZfv27XzxxRdcdtllDa/FxcU1bDCUZBKqSK9zNnS25PR8y+lcXnIPFXIPFaqzl0tb7Vgq9FiKdZiL6jEX6zAcqcSytQBOJS2Wa91QhmhQBHs0BB9lkDuSsv077MWEviB0PhFcnMRSYQCaDy51dXVkZGQ0ed1qtbJ582ZuvPHGFusLCAhg2rRpLFq0CLvdzrRp05rcgf7999/j6emJxWLBbDZz1VVX8dZbbzVcX716dYv1taSqqqph6K0pklxCGahBGajBPflMW+1mG+ZSnSPoFNdjLtKh31dK3XrjqQdBneCH57Aw3OJ92ry8W/RcBKHzieDiLK34vGvNEt22LOOdM2cOf/7znwF45513mrxv3LhxzJs3D6VSSVhYGEpl83NCbWUymairq2v3SjFJKUMV5okqzLPR6zajBXOxDnNeHfU7iiibvx+5vxrPIaF4DAlB5ta6v74iuAhC5xPBxUkUvo4ei6XCcCpdy7k8PDwYNGgQO3bsOH8ZCgUjR45sdZ2TJ0/GZDIBMGnSpCbv8/DwID4+vtXlttXp1W6+vr5OLVfmpsAtyhu3KG88hoViyqmlfmsh1auyqd9ehP+tiShDWt6wqVQqqaurc2rbBEFonliK7CRyHzeQnRkea8orr7zSZIbeRx55hLCwsNbXKZeTmZlJZmbmBWX9veyyy3j77bebvefo0aNkZGRQVFSEXq8nIyODjIwMTCYTlZWVyOXyC0qzb7fb0dVUU3jkENl7d1NRkI/lrHkSSZJwi/bG78behMwdgKSQUfJOBvU7i1ssW/RcBKHziZ6Lk0hyGYpADcbj1XgOafqgrDFjxvDjjz/ywAMPcPToUQC0Wi2PP/44Tz75ZJvr9fb2bnebTzt27BhlZWXN3nPXXXexbt26hj+npaUBcOLECaqrq9FqtW0+l95qsXB0x1b2/vYThUcPYzboG98gSXgHBNJr6EhSL5+KT7BjTkcR4E7QA6lU/XCCqu+PYy6sQzs1tsm5GHd39za3TRCECyPZu8Iut26idkM+1T+fIPSpwS3u47Db7Rw5cgS9Xk+vXr1wdz//UNrF4JdffiEgIID+/fu36n6bzcrOH75j5w/Lqa+sIDyhD3EDhuATHIo2OASVu4aa0hKqS4ooyT5O5sY1WC1WRt00i97Dx+Bx1tyOMacG/f4y1L39UMf5nLe+Q4cOUVZWxogRI5zwbgVBaA3Rc3EijwFB1PySTf2OYrzHNb+cWJIkevXq1Ukt6zgWi4Xa2tpWz+noaqr58a3/cnJfBn3HT6Lf5OkERsWcc5+jl9IXgNEzZ3Nk+xbqqypIX7mEnkNHENYzAQC3KG+sNSZ0GSXIvJSogs6dg7FardTX17f7PQqC0HYiuDiRTKNEkxZE7bo8NKmBLe556Q6qq6ux2+2tmswvPXmCpf/+B1aTieuefp7ovv1aVYfSTU2fUeOwmM0cXPc7u39cQWVqHn3GXIYkSbj38cdSrKN+UwGKST2QaRr/tZYkCaPR2J63JwhCO4mBaCfTTnF8uJV/nondbHN1czpcVVUVkiS1OPejr6tl+SvP4+7pxax/v9nqwHI2hVJJymUTSRo7gew9uziRkQ44Nn56Dg8DJOp2Fp3znFwux2q1trk+QRDaTwQXJ5O5K/CfmYi5uJ7KJYexW7p3gKmqqkKr1Ta7Ws1us/HT269i0uu5+rG/4uXf/uOGJUkiJrU/PQYMJmvjOiry8wDHz909xR9zfh3WOlOjZ2QymQgugtDJRHDpAKpwT/yu64VuXxml7+/FUtX88uSLWWVlZYubJzN+/ZETGTuZ+udH8A4Mckq9CcNH4xMSxq6fV2I+NeSlitEiyWUYjzXOMq1QKLDb7dhs3TvQC0JXIoJLB9H0CyLo3lSstSZK3txN3dYCbMbutdfCZrNRXV3dbHCx22zs+uE7EoaPpkfaQKfVLZPJ6DdpOmaDnmM7t1FUVMTcR+Yy6OFJ+A2KIDg4mJEjR/Lee+81zLdYrVZiYmIazrfRaDQkJyfz/vvvt6nuwsJCbrnlFnr37o1MJuOhhx5y2vsShO5CTOh3IFWkF0EPplH13VGqvjtG9U/ZaPoH4dE/GGW4Z6cdgdxRdDoddru92c2TOQf2UlVcyJQ/P9yqMq1WK3q9Hk9Pzxbv1Xh70yNtEJt//Zmn592Ar68vLzz/AjFlPqj6+pFdW8D8+fNxc3PDy8urYWjsn//8J3/605+oq6tj4cKF3Hvvvfj4+LQqpxuA0WgkMDCQZ555htdff71VzwjCpUb0XDqY3EOJ/y2JhDwxCM/hYej3lVHyTgaFL22j4tvD6PeXYTNenPMBOp0OpVKJh0fTKVgOrF1NYEwsoaeWDjclJyeH6667Do1Gg5eXF7Gxsa3qUcQPHMy8b5aB1Up6ejo3z55JQlxvEkPimTFjBj/88AOTJ08GaAguXl5ehISEEB8fzwsvvEDPnj1Zvnx5q993TEwM//vf/7jtttvQarWtfk4QLiWi59JJFD5qtJNi8J4QjelkDfqsCgyZ5ejSi0Eu4Rbng3uiH+oEv4Y8ZV2d0WhEo9Gg0WiavKfo+BF6DhrabELO/Px8Bg8eTHHxmVQuJ06c4N577yUnJ4cXX3yxyWera+vYeTCL26ZNwlxXAx4eyDyV2OrPpI45fQBbU5P6arW6ISV/dnY2PXr0YM2aNYwdO7bJegVBaJ7ouXQySS7hFqvFZ2oPQh4ZSMijA9FO6QE2O1Urj1P07x0Uv7GT6l9OYsytwW7rugkUjh07xpEjR5pMrWK1WKgqLEAb3Hwq/meeeaZRYDnbyy+/zLFjx5p89ujRo9jtduLj4sjcsBa73Y7cU0n05GQ8PT3x9PTk+eefBzhnQt9isbBw4UL27dvXcL6NUqmkd+/ezQZMQRBaJnouLqYIcMdrZDheI8OxGSwYDldiyKqgflsBtb/nIPNQOFKbJPqh7unbISc1tldpaWmzH8K1ZaXY7Ta0Qc0Hlx9++KHJa3a7nZ9++qnhaIGmRPZJpiI/l6JjR9B6+vLbv77F6/IoZs6c2dArOd1zeeKJJ3j22WcxGo2oVCoee+wx7rnnHgDCw8PJyspqti5BEFrWdT6pBGRqBZq+gWj6BmK32THl1mLIrECfWY5uV4lj+KyHFnWCH+6Jfk2m9u8sZrO52bNhzMZTB6ip3JotR6fTtft6fHw8kiRRWFFFQkIcWZvWMWTg1UQHROAXH4+7u3vDyZ+ne1iPPfYYs2fPRqPREBoa2qYzdARBaB0xLNZFSTJHinnt5BhC5g4g5PFB+EyLBZlE9U8nKHolnaLX0qn68QTGE9XYrZ0/fObj40NVVVWT170DgwGoKW0+Lf7Agc0vUW7uur+/P5dffjlvv/02UWmD0FVXU51ThNzzTNA73XM53csKCAggPj6esLAwEVgEoYOI4HKRUPip8RweRuCcZML+NhT/WxNRRXmj21VM6ft7KXxxKxVfZaHbU4JN3zn7aXx9famsrKSpxNpuGg1qL2+qS5oPLs8++2yTH/IjR45k3LhxzT7/7rvvYrFYGD95CgdLKti3Zw9HSrP57LPPyMrKwmazoVQqUamaz1QNjsUFCQkJbN++vdn7Tp9nU1dXR2lpKRkZGRw8eLDF8gXhUiGGxS5CMjcF7skBuCcHYLfZMefXoc8sx5BZgS6jFGTgFuMYPlMn+qEM7JjJaV9fXywWC3V1dU3udfENDaMku+kJeYDLL7+chQsX8sADDzQ6MXL8+PF8+eWXLfYu4uLi2L17Ny+99BLvfv4l+bl5qFQqklKSefTRRxk2bBh6vb5VvRSz2cyhQ4daHKo7fZ4NwM6dO/niiy+Ijo4mOzu7xToE4VIgznPpZixVRgxZFY6vo1VgsaEIcG8ING4x3khy53RYi4uLmTdvHnPmzCEqKuq892z/7ls2f/M5933wGW6a5o8krqmp4bfffqOqqorU1FQGDBjQ5jbZTFYqlx4mu3Y/va+fgKePL+vXr0epVDJs2LA2lycIQvuInks3o/Bxw3NoKJ5DQ7GZrBiPVmHIqkC3p5S6jflIajnqXr6oE/1R9/JF7tH0hHxLTqfZLykpaTK4JI4cy4YvF3F46yZSxk9stjxvb2+uvfbadrcHwHiiGpCok9dyaNM60qZcSW1tLZGRzZ+vIwiCc4ng0o3JVHLc+/jj3scfH5sdc0EdhqwK9FkVVC4+BBKoor3PbN4M0rRpglulUhEbG0tGRkaTk+5e/gFEJfUlc8OaFoPLhbLb7RiPVqGK8CLOfwh7fvmBY5kH0ev1hIY2ffS0IAjOJ4LLJUKSSagivFBFeOE9IRprjRFDViX6zHJqfsuh+qds5H5q3E8Pn/XQIilaHj4bNGgQixcvprCwsMkP8D6jx/Pzu69TU1aCd4BzsiKfj7lYh7XGhGZgMOGBoWTv2UnWwQN4a30JCGh/mn9BENpOrBa7RMm93fAYHELA7UmO1Wezk1D38kV/oJyyj/dT8PxWyj87SP3O4nPORzlbr1698PLyYseOHU3e03PwMBQqNzI3rHX+GznFbrNjOFCO3FuFMkiDJJPRY9BwjMjw92xbj0wQhAsnei4CklKOe4If7gl+2K+yYy6sdywIyKyg8tvDgCPDszrRD3WCP8qQMx/WcrmcgQMHsnHjRi6//HLc3c/d2Kly1xA/aCgHN6xh8NXXd8gHvf5AGeZSHV5jIhrKrzIYkSSJyqwDWAYPQaFo//ySIAhtI3ouQiOSJKEK88R7fBRBD/Qj9Okh+M7oidxLRe2aPEr+t4uif++gcvlRDIcqsJtt9O/fH6vV2uzekD6jx1ORn0vJieaXJbeHqbAO/YFy3JP8UYU6UvUbjUaOHz9OZEQ4pvpasnfvdHq9giA0TfRchGbJvVR4DAzBY2AIdosN4/Fqx6KAzHLqtxYiqWS4xfsyICaFtWvXEhMTQ3R09DnlRKf0Q6P14eD63wmOjXda+6y1Juo3F6AM8cA9yTGvYrPZ2LFjB3a7neS+qZww6jiavpXIpJQWl0MLguAcoucitJqkkKHu5YvPlXGEPD6I4Ln98Rofha3eTEqmH0FWb75e9CVFP2Zhyq9rtHNfJpeTOHIMWZvXY3PSefamgjpq1uQgeSjxHBracPjakSNHKC8vZ/DgwWg0GnoOGY5SreZo+jan1CsIQsvEJkrBKaz1Zsr25LJw9WJ8LR5MNvZD6e12ap7GD7c4H0rzs/nsyf/jmiefIzZtULvrstvsGI5UYjxWhSJQgyY1AJnK0QkvLy9n165d9OjRg/j4Mz2k3IP7ObE7nQHTrsLDx/eC368gCM0TPRfBKeQeSoKHx3LDrTdRKKvkQP9q1Mn+GI5WUb7oIIXPb0W+Tk/fqHEcWbOpXXXYrXb0mRWULThAxVeHkHmr8BgQ3BBYqqur+fzzzykrKyM2NrbRs6E9e5O9dxe/L2j5dEtBEC6c6LkITrdp0yZ+/fVXkpOTueKKK5BVWxvmaYwnqpGQUIS4454UiHuCH8owTyR50yvIrDUm6tOLqN9WhLXaiCrSC+/JMajjfBruOXr0KEuXLkWlUnHXXXfh6el5TjmHt25k5ev/YsYzzxPTN+2c64IgOI8ILkKH2L9/PytWrMDb25sbbriBoCDH5snq3CJ++ftrDEiZiluVG3aDBWQSch83FH5qFH5qJLUCa6UBS4UBa6UBm86CpJThnhqI59BQVBFnkmTabDbWr1/P2rVriY+P59prr23yADO73c5Xzz2BSa9j1r//h0wm75SfhSBcikRwETpMaWkpX3/9NVVVVVx55ZWkpKQA8PU/nwbg+mdexJRTg7m4HkuFEWuFHkuFAZvRisLHDYWfO3I/R9BR9/RFpmm8T6W+vp6lS5dy7Ngxxo0bx6hRo5o8cvm0wqOH+OKZR5h4z186PB2NIFzKRHAROpTJZGLlypXs27ePiIgIBg0aBGVF/Pbh2/zp7fl4BwS2uczS0lLS09PJyMhALpczY8YM4uLiWv38D2++Qu6Bvcz53weo1K49zVMQuisRXIQOZ7fbOXToENu3b+f48eO4u7tjKzjJsBEjGXvDLa0qw2q1cujQIXbs2MGJEyfQaDT079+fIUOGNHmWTFNqSkuYP/ceBl15HSNumNmetyQIQgtEcBE6VVlZGenp6ezYthWrzY6Pry++f/hyc3OjqqqKqqoqKisrqayspKKiAqPRSGRkJIMGDaJPnz4oFO3fA7zhi4Xs+mklc954Hy9/kdRSEJxNBBfBJQ7t2MKyD+aRMOkKTDZ7QxAxGAyAIw2NVqttFHTi4+OdljrfqNPx8f/9idi0gUy+f65TyhQE4QyR/kVwiZ79B6OV3sFHV8XY2/7U8Lper8doNOLl5YVc3nGrudw0GoZfP5PV8+eRNuVKgnu0fs5GEISWiU2UgkvI5HISho8mc+O6Rulg3N3d8fHx6dDAclrfyybhFxbBuk8/RnTgBcG5RHARXKbP6PHoqqs4uS/DJfXL5HLG3DqH3AN7Obaz6YzOgiC0nQgugssE9YjDLzySg+t/d1kbeqQNJCqlH+s/m4/VYnFZOwShuxHBRXAZSZLoM2ocR3dsxaTXuawNY26dQ2VRAXt/+8klbRCE7kgEF8GlEkeNxWIycmT7Fpe1ISgmluSxE9j87ZcY6utc1g5B6E5EcBFcyjsgiIg+yS4dGgMYccOtWExGti372qXtEITuQgQXweX6jBpPzoG91JaXuawNnn7+DL7yOnb/tIKaslKXtUMQugsRXASX6zV0BAqFkqxN61zajoHTr6H38FHkHzro0nYIQncggovgcm4aD2IHDuHghjUubYdSrWbAtGvIO7CXysJ8l7ZFEC52IrgIXUKfUeMoy8mmJPu4S9sRGBWDm6cXBzesERsrBeECiOAidAkxqf1x99a6vPciyWT0GTWOqsICCo5kNXmf2BMjCM0TwUXoEuQKBQnDR5O1aR02m7XlBzpQQGQ0QbFxHNq0/pwgYrNaydm/l1/e+x91lRUuaqEgdH0iuAhdRp9R46ivrCBn3x5XN4WEEWPR19WSvWcn4DiTpiz3JGsWfcCGLxdycONafnrnNRe3UhC6LhFchC4jOK4nvmERLh8aA/Dy8yc6JZUj27di1OmoLS/lwLrV7Fu9ipTxk/jT2x9TcDiT3AN7Xd1UQeiSRHARuozT6WCObN+MyaB3dXOITkkD4Mj2TXgHBNF76Ei8AgLx9PPDOyCIfhOn8dtH77q4lYLQNYngInQpiSPHYjEaOerCdDB2u50dK5ey/btviRswiJP79lBbUU5IfC/SJk1n69LFAIy86TbqKss5vmuHy9oqCF2VCC5Cl6INCiYiMdmlQ2OSJKGvraGyMJ/Y/oNRe3iSucGRnkahcgO7nfqqSuQKBTNfeoPY/oNc1lZB6KpEcBG6nMRRY8nZt4e6inKXtWHI1TeQf+ggOfsySBg5htLsE5TlnuTk/j1YzGY0Wh8A/MLCAcSeGEH4AxFchC6n19CRyBRyl6aDcdNoGDbjZjZ8uYiTe3Zjs1lZ+ca/KDp2mBE3zESSpEb3//HPgnCpU7i6AYLwR2oPT+L6D+bghjUMvOJal7Vj8FXXIVco2PPbz9RXVqBQqeg1dCRRSanY7XYRUAShGSK4CF1S4ujxfPfK85TmZBMYFeOydgyYdjWJo8YBsOvnlRhqapBkMhFYBKEFYlhM6JJ69OuP2svb5ee8AGi8tWi8tfSfNB2zQc/x3emubpIgdHkiuAhdklyhJGH4KLI2rnV5OpjTNFofovsN4NjObRjqal3dHEHo0kRwEbqsPqPGU1dZQe7+fa5uSoP4gUORKxQc2rrR1U0RhC5NBBehywqJ74VvaBgHN7h+aOw0lVpNryHDqS4uoq5KJK4UhKaI4CJ0WZIkkThqHEe2bcZsMLi6OQ0ik/shV7mx+esvxP4WQWiCCC5Cl9Zn1DjMRgNHd7guHcwfyeVyQuJ6sm/1z5wQk/uCcF4iuAhdmjYohPCEPl0iU/LZYtMGEtknhXWfzcdm7RoLDgShKxHBRejy+owaz8m9GV3qcC5Jkhgz604qCvLYu3qVq5sjCF2OCC5Cl9dr6EhkcplL08GcT3BsPEmjx7P5m88x6nSubo4gdCkiuAhdntrTk9j+g8ncsNbVTTnHiJtmYTYY2L78a1c3RRC6FBFchItC4uhxlGQfoyz3pKub0oiXXwADr7iGnT9+R3VJsaubIwhdhgguwkUhNm0gak+vLjexDzDoyhmoPTzZ+NUnrm6KIHQZIrgIFwW5QknvYaPI3LgWu83m6uY0olK7M+LGWWRtWkfh0UOubo4gdAkiuAgXjT6jx1FXXkbuwa6TDua0pLGXERgVw9pPPhYbKwUBEVyEi0hozwR8QkI5uL7rDY3JZHJGz7qTgkMHObJtk6ubIwguJ4KLcNGQJInEkeM4vG0TZmPXSQdzWkzfNHr0G8D6LxZiMZtd3RxBcCkRXISLSp9R4zAb9BxN3+bqppzX6FvnUFNSQsaq713dFEFwKRFchIuKT0goYb0SyewCh4idT0BkNH0nTGLr0q/Q19a4ujmC4DIiuAgXnT6jx5G9dzf1VZWubsp5Db9+JnabjS1LvnR1UwTBZURwES46vYaNQiaTkbVpvaubcl4arQ+Dr7qePb/8SEVBvqubIwguIYKLcNFx9/SiR9qgLnWI2B/1n3YVHr5+bPhigaubIgguIYKLcFHqM2ocJSeOUZ6X4+qmnJdS5caom2/n6I6tXXJfjiB0NBFchItSj/6DUHt4dsl0MKclDB9NSFxP1n7yUZfLKiAIHU0EF+GipFAq6TVsZJdMB3OaJJMx5ra7KDlxjMyNa13dHEHoVCK4CBetPqPGU1tWSl7mflc3pUkRCUn0HDycDV990iU3fgpCRxHBRbhohfVORBsc0qWHxgBGzZyNrqqKnT985+qmCEKnEcFFuGg1pIPZugmzyejq5jTJNySMtMnT2L78my67N0cQnE0EF+Gi1mfUWEx6Hce6aDqY04ZcexNyhYJNX3/m6qYIQqcQwUW4qPmGhhPaszeZXXxozN3Ti6Ezbmb/779SlpPt6uYIQocTwUW46PUZNZ4TGTvRVVe5uinN6jdpKtrgYNZ9Nt/VTRGEDieCi3DR6z18FJIkI2tz10wHc5pcoWT0zDvI3rOLExk7Xd0cQehQIrgIFz13L296pA3skoeI/VH8oGGEJySx7tOPsVmtrm6OIHQYEVyEbqHP6HEUHz9CeX6uq5vSLEmSGHvbXZTn5bB/za+ubo4gdBgRXIRuITZtEG4eHmRuWOvqprQoJK4niSPHsunrzzDpda5ujiB0CIWrGyAIzqBQqeg1dCSZG9cw4oaZSLIO+L1JXwVZP0D5EajMPvMlycA35sxXQC9ImAZuXk0WNfLm2ziybTPbv1vCyJtmOb+tguBiIrgI3UafUePYt3oV+VkHieiT7LyCC/fCjo9g3zdgMYA2AnyiITjZEUTsnAk0uduhOg9UnpB6Ewy6E4ISzynSOyCIAdOvZuf3y+g7YTLeAYHOa68gdAGS3W63u7oRguAMdpuNj/7yJ6JTUpl4z18uvMCiffDDI5C7DbzCYOAd0P828App/rnqPNi5CHYuhPoSiBkF016DwF6NbjPpdXz8f3cT3TeNqX9+5MLbKwhdiJhzEboNSSajz6ixHN66CYvJdGGF7f4MPpoApnq48TN4aB+MebzlwAKOns34Z2DuAbhuPtQVw4fjYP/SRrep3DUMv34mmRvWUHTsyIW1VxC6GNFzEbqVioJ8Fsy9h+kPPUnvYSPbXoBZDz8+6ggu/W+DKf8BpXvDZZvNzs6cSg4X15JboSe3QockQZSfhkg/Db2Cvegf5YMkSWfKNNbBz09C5koYcAeMexoUKkd5VitfPfc4ak9vrnnib42fE4SLmAguQrfz+TMPo9H6cM3jf2vbgxYTfHIlFOx2DGOlzWy4VKUz8e3OPD7bepLsch1ymUSYj5pIXw12O+RU6Cis1mOzQ3yQJ7OHxzCjfzjuqlPTmna7Yz7m8E/gFwv9boVTiw7K83M5sOZXEkePJzAqxkk/BUFwLTGhL3Q7fUaNY+0nH6GrqUbjrW39g789B3npMPt7iBra8PKy3Xk8s2w/FqudqSkhvHJ9KmmRPijkjUeVTRYb6Scr+GzrSV795RAlNQYmJ4fQJ0yLo3szxLGCbOs8cA+AxKkA+IdHovHxJWvTOvzDI5HJ5U75OQiCK4k5F6Hb6T18NACH2pIO5sAy2PouTHqxIbAYzFaeXraPuYv3MDk5hM1PjeeNm9IYFON3TmABUClkDI8L4N2ZA1j10Gh6BGpYtPkky3bnYTl9WmZwH+g5EQ4sgcJ9Dc/2HDycmpJiio+LuRehexDBReh2NN5aYvoNaP0hYmVH4bs/Q9I1MPhuACxWG3cs2MG3O/N4+doUXr0+lQBPt1a3IchbzdX9IpjeN5R1h0qZv/EENtupEeiEaRCSDDs+hPpyALRBwfiGRZC9N6Mtb1UQuiwRXIRuqc+o8RQdPUxFQV7LN6/7F7j7wZVvOYavgFdWHWJ7dgWfzBnMzYOj2jXRLkkSo3oF8qdRsewvqOHXzCLHBZkMBv0J5ErY+1XD/dF9+1GRl0NteXmb6xKErkYEF6FbihswGDeNB5kb1zZ/Y10pHFgOQ+5u2FH/y4Ei3l9/nKemJDA01v+C25IUrmVSUgg/7iviUFGN40U3T0iaAfk7ofQwACFxvVBpPMjZt/uC6xQEVxPBReiWHOlgRpC5YQ3NLojc/QnI5NDPsTLMYrXx3IoDTEgM5s6RPZzWnilJIcQHefLNzrwz7Yka6tjpv+9rsNmQKxREJvUlN/PAhe/TEQQXE8FF6LYSR42juqSY/EMHz3+DzQrpCyD5OtD4AfBbZgmF1QbmXt7TqXtOZDKJKUkh/HV6EjKZDEmSkORypMv/jnTZXx3/LUk8//a7WE1GlG5uLF++/JxyZs+ezdVXX92mutevX88VV1xBWFgYkiSdt1xBcDYRXIRuKyIhCa+AQDKbOuelcA9U5zbaz/LZ1pP0j/IhKazlJczp6em8/vrrvPHGG+zZs6fF++OCPHny07W8unwrhYWFvPHGG3h7e1O44gUKP72PwtyTvP3Ouw37X5ylvr6e1NRU3n77baeWKwjNEftchG7LkQ5mHBm//MC42XejUKka31B5wvH9VGLJ7LJ6Nh4t47UbUpstV6/Xc9ttt/Htt982ev3222/nww8/RKlUnr89ksSkgYksz8jHLyAIrVaLJEmEjLkTfv0r1O2HiKm4e3m37w03YcqUKUyZMsWpZQpCS0TPRejWEkeNw1hfz/HdO869WHkS1Fpw9wXg6/RcvNQKpqaENlvm3LlzzwksAIsWLeLZZ59t9tlwX3dsdqjUnTWn4h0CseMc6fwNNWi0Pi2+r9MWLlwoUsYIXZIILkK35h8eSXBsz/MfgVyZ7Th/BcdE/rc787i6XzhqZdM75MvKypg/f36T199++23q6+ubbs+pvTJldcbGFxKvcCyDPvgdGm9Hz+Xmm2/G09Oz0dfnn3/e6DGtVkvv3r2brE8QXEUEF6Hb6zN6HCd2p6OvrWl8oToXtJEArDtcSkmtkRsHRTZb1sGDBzGbzU1e1+l0HDnS9C57H3clMgkq6/+wGkztBQnT4cQ6NG6Of5avv/46GRkZjb6uvPLKRo9dc801ZGVlNdtmQXAFEVyEbi9h+GjsdhuHNm9ofMHNC4y1gGNIrE+oN8nhzU/ka7UtT/Q3d4/RYsVm5/y9o/jLQOOPOd+RFiYkJIT4+PhGX15eTZ9uKQhdiQguQren0frQo98ADm74vfEF3xiozKa01sjqzBJuGBjRYlkpKSnExsY2eT01NZUePZreH1N+qsfi76k696JcCcnXoauuarEdgtDVieAiXBISR42j8MghKgvzz7zoEw3VeSzfmY1MJnF1WniL5chkMj766CPc3M7NM6bRaPjggw+afb687nRwaSJPWcRA9JKn479PJ7tsxrJly0hISGj2nrq6uoZhNYATJ06QkZFBTk5Oi+ULQnuJ4CJcEuIGDkHlrmmcDsY3BuxW1u3YzaSkEHw05+lNnMe4cePYtGkTU6dOxcvLC61Wy1VXXcW2bdsYPHhws88eLKjBV6PEy62JXQCShM5yqh1lLc+lVFdXc+jQoWbvSU9PJy0tjbS0NAAefvhh0tLS+Nvf2njejSC0gTgsTLhkrHrvf+Qd3M+c/33gWL5bW4z9tQT+arqdybOfZWTPgA6t32ix8uyy/YxNCGJaE8udTQYDv77/Jv3i3Qm3n4BJL4FS3aHtEoSOIHouwiWjz+jxVBUXknvg1DkqXsEc8BzBHarVDI/16/D6d+dUYbTaGNqj6boq8nMdTes7CUx1cHhVh7dLEDqCCC7CJSMiMRm/8Ej2/PojAHVGC69XjybOnoMsb2uH17/1eDm9g7yanm8BTu7djU9IGN6RvSB+Ahz+GXSVHd42QXA2EVyES4YkSfSbOJWjO7ZQV1HOD3sLWGNOxOITC9s/7NC6i2sMHC+tZ2hc0yn86yorKMvJJiqln+OFhGmgUDlOyRSEi4wILsIlpc/o8cgVSvb9/guLd+QysmcwiuH3Oz7Ac7Z1WL1bj5fjrpKT0sw+mpx9GSjV7oT1OrX6S+UBiVfByU1QKVZ2CRcXEVyES4qbxoPEUWPZ9cuPZJws58aBkTDgDogYCMvvA5PO6XVabDa2n6hgYLQvKsX5/8lZzCbyMvcTkZSCXHHWSrLY0eAZ4jjzRay9ES4iIrgIl5x+E6ehr65ihG4vE/oEgVwBV8+DmnxY/Q+n13cwv4Zag6XZIbHD2zZjNpmITv5DRmaZAvpeDyUHoWiv09smCB1FBBfhkuMTEc3+oEGklm6jKPPUyrGAnnDZc7DtPTixofkC2mhXbiVxgR5E+mrOe73oxFFy9+8hafR4PHx8z70hNNXxdXAF2CxObZsgdBQRXIRLzurMEtZp0gjslcwPb75CbUWZ48KQeyF6BHx3f0POsQtVazBTVG1scg+NrqaG4zu2EtEnhei+aecvRJIg5XqwWiBvp1PaJQgdTQQX4ZLzdXoufSN9uf7RJ5ErFHz/xn+wWiyOEyCvegfqy+GX5s9laX1deSzZmUt80LkJJ80mIytee5Fju3YQP3BI8+eyeIc59r0suwcM1U5pmyB0JBFchEtKUbWBtYdKuGFQJBpvLdMfepKio4f4+d3XMRsN4NcDJj4POxfC0d8uqC673c7nW08yIj4ArXvj0ylNeh0//O8Vio8eYdK9/4ebxqPlAkc/ArVFsOG1C2qXIHQGEVyES8qSXXmoFDKuSA0DILx3IlMeeJijO7by5bOPUllUAAPnOE6G/O5B0Fe1u64d2ZUcL6vnhj+cEVOWe5LPnn6Y3AN7mPbQEwTFNJ1luRHvMBjxF9g6z3GKpiB0YSK4CJcMm83O1+m5TE0JxVt9pieRMGIMt7zwXyxmE589+RBHdmyBq952DEP9/FS761u8I5coPw1De5xZJXZwwxo+f+Zh5AoFM196g/iBQ9pW6PC/gLsPrP5nu9slCJ1BBBfhkrHtRAUny3WOvS1/EBjdg5kvvUF0336sePUlfl/2A/Uj/wZ7voCsH9tcV63BzI/7CrlhYAQymURteRm/vP8mP739Kr2GjOCWF/6LX1jLKf7P4eYJ45+F/d9CXnrbnxeETiKyIguXjLmLM8jIreL3R8Y0OXlut9vZ9eMKNi7+BJvFQs8Q6Od5gvAn1iB5NL1P5Y++2JbDs8v2suSqQHI2/caxndtQurkx5tY7SblsUvOT9y2xWeH90Y4d/HNWOVaTCUIXI4KLcEmo1psZ/OJv/N+Entw/Nr7F+w31dRxct5qMn1dQWVyMv7eclKvnENQjFm1QCJ5+fshkjY8qttms1JWXU1VcxL8/+43w4j246coJiIym36RpJI4ci8r9/Htd2uzY7/DpNXD9Iki62jllCoITieAiXBI+23qS51YcYMuT4wnybv35KHa7nZyVb7FnxRccrQvk9D8XuUKBd2Aw2qBg7HY71SVF1JSWYrM6NjlakeHbZwBTbphBeELShfVUmnxT10H5EXhgOyiazrQsCK4ggotwSbjy7Y0Eebnx0e2D2v6w3Q5f34b5+CZqZiylut5MdXER1SXFVJcUIUkytMEhaAOD0QaH8Nn+WlYc07PpmUlN5hJzipIsmDccLv8nDP9zx9UjCO3QxFmrgtB9ZBbWsDevmvdnDWhfAZIE019H+c4Q/Hf+B/+bPm9ynsNksbF0xW/MGBDdsYEFICgBBtwO6/8D/W4BTccfeCYIrSVWiwnd3uIduQR4ujE+Iaj9hXgEwPTX4dAPsHdxk7f9lllMpc7MjYPOXZHWIcY+DTYbrPtP59QnCK0kgovQrRktVpZn5DOjfzhK+QX+de9zJaTcAD8+DjUF571l8Y5c0qJ86Bl8brqXDuEZCKPmwo4Poexo59QpCK0ggovQrf1yoJgqnZnrz7O3pV2m/geU7rDiwXPOVymo0rP+SOl599F0qKH3g1co/PZc59YrCM0QwUXo1r5Oz2VgtC/xQZ7OKdDdF658y5F3bNcnjS59uzMPd6Wc6adSy3QapTtc9jfI+h6yN3Zu3YLQBBFchG4rr1LHxqNl5+T2umC9JkLarbDq6YYcX6dTy0xLCcXTzQXrZJKvg7A0WPWMYw5GEFxMBBeh2/omPQ+NUs60lFDnFz75PxDQG757AGw2thwvJ69S7/xA1loyGUx6CQozYN83rmmDIJxFBBehW7La7Hy7M48rUsPw6IiehJsHzPjIcb79gaUs351PbKAHA6PPc5JkZ4keDolXOJJamvWua4cgIIKL0E1tPlZGflUH9yT8YyH5WuxVJ+mh0fPw5b06Zid+W0z4B9QVw5Z3XNsO4ZIngovQLS3ekUvPIE/SIn06tqK48Rgqi5nOBsY2cZRxp/KPg8F/go2vQ22xq1sjXMJEcBG6ncp6E78cKOaGgZEd35NQqlkmv5wIfRaeOb93bF2tNfoxkClg7UuubolwCRPBReh2lmfkY7PbuaZ/O85LaaPcCh1bawIoDx0DB5ZBdX6H19kijR+MedyxVLr4oKtbI1yiRHARuhW73c7iHblMSAwmwLPjMwVvPV6Ot1qB36AbHCli0uc7zltxtUF/Ap9o+PWvrm6JcIkSwUXoVvblV5NVVNspub1MFhvp2RUMjvVDrlLDwDuh6iQcavvJlU6nUDmyJR/9DY6udnVrhEuQCC5Ct7J4Ry4h3mpG9wp0etk1BjOHi2s5WFADwN68KvRmG0N7nDqh0j8Wek2BgyuhKsfp9bdZ4hUQNRx+ebZr9KaES4pIuS90G3qTlRUZBdw+PAa5zHkT+dV6M59tPcm7a44S6OWGp1qBQiZDo5KTGOrV+PCxPldC4V7Y8TGM/yvIXfhPTJJg0gvw4XjY/SkMmO26tgiXHNFzEbqNn/YXUmu0cIOTE0e+/fsRvt9byN+u6MNzVyZx8+Ao4gM9OVBQw7rDZXy7M+/MzXIlDJrjyJqctdKp7WiX8AGQcj38/iIYa13dGuESInouQrexeEcuw2L9ifJ30jn1pyzPKOD5q5KYnHwmjYxKLlFaZ8BXo+K1Xw4R6OXGmNNDcb7RjiGpzBUQmgp+sU5tT5td9jc4OBA2/Q/GP+vatgiXDNFzEbqF7LJ6tp2ocPpEfmmtkSg/DdV6c8NrNpudffk1TEkO5Y2b0ugT5s3y3flYbWel4E+YCtoo2P05WM3nKbkT+UTBsPth89tdY6m0cEkQwUXoFr7ZmYuXWsHk5BCnlhvo5UZKuJZ31x5j58kKLFYbWUU1VOnMDI1zTORfNyCS9JMVmK1nZSOWKWDIPY5eS9kRp7apXUY+DCoP+P15V7dEuESI4CJc9CxWG9/uzOOqfmGolXKnl3/nyB5E+Lrz4Be7eev3o6zcU4C/h4pIH3cMZisbjpQS6as5t26vYMecR/ZG16diUXvDuKdhz5dQkOHatgiXBMlu/8NxeoJwkfk9q5g5C9NZ+eeRpERoO6QOg9nKB+uP8+mWk5TXG4kL9KRvhA+bjpYR7O3G01MTGRLrf+6DNhtkfgdKD4gd69h/8kd2O1Rmg7HGMUfTUawWeG8EeATC7Ssdq8kEoYOI4CJc9O75NJ2cCj0//mVkh+cS++VgIYs2ZROidcduh57BXlzeJ4j4IK+mH9JVwclNIAEJ0869bqp3ZDE+tsYx+R49rKOaD4d/gS+uh5u+OH9bBMFJxGox4aJWWmtkdWYJz05L7PDAYrfbSc+u5LLEEOaM7NH6BzU+EBAHm94E3x4Q3OfMNZvVMRfS/zbQlcPXs+CRw47DvzpCz8sdPahf/wY9JzqWTgtCBxBzLsJFbdnuPGQyiavTOj5J5cnyeoqqjQ0T+W3i3wt8YmDnQjDpHK9ZLSA7NU+jK4cjv4LVBHk7nNXkc0kSTHwByo858qAJQgcRwUW4aJ1OUjkpKQQfzXnmMpxs6/EKfDVKEoKbGQJrikwGA+8AYx3sXezosZzevf/7CzBvBAT2hluXQmhf5zb8j0JSIG0mrP0X6Ks6ti7hkiWCi3DR2pVTybHSem508o788zFZrJwsr2dIrB+y9qaWqS2EsFTI3uBIhV96GN4dDts/hMkvwxX/g4iBoHR3buPPZ9yzYDHAhv92fF3CJUkEF+Gi9fWOPCJ83RnenmGqNtp8rJw6o5URcRdw2mT2Rlj9PPjHw/cPwbtDwDMIbvnakVHZM8hp7W2RdyiM+D/Y9r5jpZogOJkILsJFqd5o4fu9BVw/ILL9PYk2eHfNMXIr69FeyPDbsPvBLwbWvwJFe6H3VLjmPYgacv4lyh1t+IOg8Yff/t75dQvdngguwkXph72F6MxWrhsY0eF1HS+tY3t2BdekOaGuGz8HSQ5JVztWatUUXniZ7aXycGRuPrAMcra5rh1CtySCi3BRWpyey6iegYT7dPz8xNfpeWjdlUxKckJqGd9oGPMEHPnNsYJs1yIwuDBbcerNjgn+X55xbOYUBCcRwUW46BwtqWXnyUpu6IRei8VqY8muPK52ZmqZMY85EluGpIDdBhmfOafc9pDJYOKLjuXPB5a6rh1CtyOCi3DR+To9D1+Nksv7BHd4XWsOlVJaa+QGZx+bPO116HMF9Jvp+GDPdeGwVOwY6DXZMfdiNriuHUK3IoKLcFExW20s3ZXH1WnhuCnkf7hmplRXisVmcVp9i3fkkhzuTVKYk3OWnZ7AjxwM4QMdqfn11c6toy0uf96Rjn/7+65rg9CtiPQvwkVldWYJZXUmru4fyPKjy9ldspu82jzyavMo0hVhs9tQSApCPUOJ8IwgwiuCIaFDGB81HqWsbalOSmoMrDlUwt+v6NPyze0lSZB2qyMdy+5PYNifXZNQMrCXY5Pn+v86elMeF7DkWhAQiSuFi8wtC1eSY16N3XMHtaZaEv0TifSKbAgkfmo/SnWl5NXlkV+XT3ZNNkcqjxDoHsiMXjOY0XMGIR6tm5ift/YYb/x2mO3PTEDr3sE5uPJ3wf5voe/NEJrSsXU1pb4M3kyDvjfCNLG5UrgwIrgIF4VqYzVPrX+ODQWrcZd7c1PiDK7vdT2RXi3PhRyuPMzXh75m5bGVGK1Gru15LY8Pehy1Qt3kM3a7ncteXUdKhJb/3ZTmzLfStD1fwc5FMOMj0HZ8rrTz2vgGrP4n3L/V0ZsRhHYSwUXo8g6UH+CRtY9QpqumvnAK6x94mEAPzzaXU2eqY8mRJby1+y16aHvw2pjXiPQ+f3DakV3B9e9t4Yu7hjA8vpOGiPRV8O5QCOoDty5xzfCY2QBvD4LgJLjlq86vX+g2xIS+0GXZ7Xa+OfwNs36chY+bD+4ljzAl5sp2BRYAT5UntyfdzpfTvkSGjLtW3cW63HXnvXdFRgGJoV4MPd8BYB3F3Qeungf5OyHji86r92xKNUx4Dg7/BCfWu6YNQrcggovQZX2e+Tn/3PJPru15LQ8kvE5uqbtTklT29O3JoimL+HPan9lZvJMD5QcaXTeYLWjdFTw7NbFTUss0EjfOkcCy8gToKju37tOSZzhWsK16xnGSpiC0gwguQpeUUZLBq+mvcluf23h26LMs21lMjL+GwT38nFK+WqFmetx0Yn1i+fbQtxytPNpwbU9uNWV1JpLCO+bI5Bb1nAgWk2P1mAs+3O0Ak15y5D/bK4bGhPYRS5GFLqfCUMEj6x4hJTCFhwY8RI3BzI/7C3lwfE+nnjYpSRJXxF5Bhb6CRQcWcW/qvYR7hbPxaBnR/ppOOSPmvFQaSL3JkQ4/e73j5MgOUFWio/h4NTXlBmpK9Y7vZXrqq014aFV42eah/Twbr5OH0AZ7E9xDi0+wpkPaInQ/IrgIXYrdbuepDU9hsVl4ZfQrKGVKFmecxGSxcd0A56d7kcvkzEycyQd7P2D+/vlcH3cXJ8t1zBkR4/S62iS4D8SNh4MrICgZPJ2zqMBmtZG9r5z96/LIzXQMu7l7KfEOcMc7wJ3QeC0eWjd0NSaq8xVUHqzh5Jps9AbHUuyIBF9SxkQQ09cfmVwMfAhNE6vFhC5lV/Eubv/5dv437n+MjxoPwJVvbyTQ042PZw/qsHprTbW8m/EuOqMNU9kEnr9yAApXf3haDLDm3+AdBoPmnDkSuR10NSYObsznwIYC6iqNBPfwJmVMOD36BaJSN/M75qpnIH0BpnvSOXFMxv51eRQdr8HDx42kUWH0GRmGh9at3e0Sui8RXIQu5fH1j3Ow/CArrl6BTJKRWVjDlP9t4P1ZA5yTlbgZxXWlvJr+Jp4KP54c9gAquYuGxc5WdhR2feo43Gvove0q4sSeUn5bmInNYqPX4GCSx0QQGNXKo5r1lY6NlQnT4aq3ASjNrWX/+nwObytCJpO4bHYfYvsFtqttQvclhsWELqNMX8avJ39lbv+5yCRHr2HxjlwCPN0Yn9DxpzQWVigwlo1BGbKGL7O+ZFbiLGQyF/deAuIhehiseNAx9xKU0OpHbVYb21YcZ9eqHHqkBjD+tkTUHo0zDdh0OgyZmZhyczHn5WPOzcVSWooiMBBlRATKyAhUIbNQb38b2ZB7ISSZwEgvxs1MYNjVcaz5LIuf3ttHv8ujGHp1LHJX9/aELkMEF6HLWHZkGQpJwVXxVwFgtFhZnpHPjQMjUXbgh9bs2bNZtGjROa/X/1rPfZfdxx133MGiRYt4+eWXefLJJxuuL1++nGuuuYa2dP4NBgP33nsvO3fuJDMzk+nTp7N8+fLmH4obDz6RsPxeuPNXxyFjLaivNvLLRwcoPFbN8Bnx9JsQ2WgxhPHYMSq//Irq5cux1dUBIA8MQBUegSIwEFNODnWbN2EtLQNApgxBm/0nfJ9bhFsvx859tYeSyXcns2d1LluWHqP4RDWT7krGw0cMkwkiuAhdyE/ZPzEhegJaN8cS4F8PFlOlM3N9K/a2ZGVl8fnnn5Ofn09sbCy33XYbUVFRra77sssnEnPto1yVGsagHv7sKt7F7xW/szZ3LQBqtZp///vf3HPPPfj6+rbn7QFgtVpxd3fnL3/5C0uWLGndQwoVTH0NPhoHG1+HMY83e3tlUT3LX9sNElw9N42wnj4N1+q3bKHsvffRbduG3M8P35kz8Z4yGVVUFDLNuSvBbDodptxcaj59i6qVv1B55VVoBg3C/9578BwxAkmS6DchiuAYb1Z9uJ/FL27n6rn98QvzaMuPReiGRB9W6BKK64s5UnmEMRFjGl5bk1VKUpg38UHN78h/5513SE5O5oUXXmDBggX89a9/JTExsfUf3oDOIqH1C2LCgN6EhIQwNXUqE3tM5KfsnyjXlzNhwgRCQkJ4+eWX2/0eATw8PJg3bx5/+tOfCAlpwxxSeD8YORfW/RsK9zZ5m8lg4af39+OmUXDD04MaAovdaqXkjTfIuWMONoOesP/+l/i1awia+xDqhITzBhYAmUaDundvgp5/i54PxhE2UY3dbCL3zrsoee117BbH8Qah8T7c8Mxg3L1U/PzBPkwG5x17IFycRHARuoTNBZuRSTKGhg5teC23QkfPFgLLli1b+Mtf/oLVam30uk6nY9asWRw7dqzFuu12qNCZSYvywV11pjN/efTlDAoeRHZNNnqbnpdeeom33nqLvLy8JsuSJImFCxe2WGe7jHkCAhNg+X2OTZZ/YLfbWffFIWorDEy+J6VhFZelvJycO++i/IMPCZw7l5gvv0Q7fRoyVRsWLEgS0rSX0YZVEP3oVIKeepLKr78m78G/YCkvB0DjrWLKPcmYDFY2fn24TcOFQvcjgovQJWzM30hyQDI+ap+G13IqdET6Nb9pb968edia2MWu1+tZsGBBi3XXGswc3rGOey5LwtPTE09PT66//nokSeKantfgpfIitzaXwZcPpl+/fjz33HNNltW7d2+02g7a2a9wc+QeK81y9GD+4MCGAg5vL2b8rQn4hTqGpUzZ2Zy45lqMR44QNf9jAu65G6m9ixRC+8G015DqCvC/5UZivl6MOiWFyq+/bggwPsEeTHugL2oPFUXHXXj4meByIrgILmexWdhSuIWRYSMbXrPa7BTXGgjRNp0WH+Dw4cMXdB2gpNZIbN/BZGTsJiMjg4yMDN58800AFDIFcdo4VDIV8/fN59nnn2XRokUcPHjwvGVlZWVxzTXXtFhnu4X2dfRgNr4OeTvPvIeTNWz4+jApY8LpOchx/LNNryfv/x5C5u5Oj6VL8Rg6tKlSWy9+PNSVwOFfcIuKwnfmLdiNJio+/xyb0QhAYKQXAZGeZG0ppLpUd+F1ChclEVwEl9tftp9aUy0jwkc0vCaXSfhqVFTUnTv8c7aW5i1auq4zWqjQmQj209KzZ0/i4+OJj48nNDT0rLbIifaORilTkqnNZMLECTz99NOteGcdZORcCElxrB4z6zHqLaz6cD8B4Z6MuK4n4BgiK/rn85hOniT8zTdRBjtpKbe7L8SMhMM/Qn05Cq0W3xtvwFxYSNWSJQ1DYfEDgtB4u7F3TR4Wk7WFQoXuSAQXweU25m9E66YlyT+p0euRvu7kVjb/m+/MmTObvX7LLbc0ez39ZCXYwUfT/PJehUzBnSl3UmeuY8AdA1i5ciWbN29u9pkOI1fCNe9BZTb21S+w9rMsDHVmJv0pGbnS8U+6eskSqpctI/Qff0fd28mHfvWeAgp32L8UAGVoKL7XXY9+507qt2wFQCaXkTI2ApPBQubmAufWL1wURHARXG5T/iaGhw5H/of0JpF+GrLLmg8u119/PXfcccd5r/3tb39jaDNDQXa7na3Hy/HRKFu1jyZQE8gdyXdAKAydNpS33nrrnHsSEhJYtmxZs+UcPHiQjIwMKioqqK6ubhiKa5OgRBj/LJm/H+LozhLGzUrEO8AdAMOhwxQ9/wI+N9yA9qqr2lZuayjdIekqyN0CFccB0Azoj2bYMKpXrMBWX+94zVtF4vAwCo/WUHi0yvntELo0EVwEl6owVHCg/ECjIbHThsb6k36ygsJqfbNlzJ8/n88++4yJEyfSp08frrjiCr7//nv+8Y9/NPvcyQodeZV6grxav+kv2juamYkzSbk1Bavt3OGeQ4cOUV3d/ET21KlTSUtLY+XKlaxdu5a0tDTS0tp+lHJ59B1sqPsTfXy2EJ/imMC36XTkP/wwqpgYgp/pwKG7mFHgHQ57v3YstwO8J00Cm4369PSG28LifQiJ8yZzcwG6muaHOIXuReQWE1zqh+M/8OSGJ/n9+t8J1DTOT1VntDDkxd+4c2QPHp7Y2+l1f7blJEdL6/jb9D5tPhRsS8EWlh1dxtQeUxkbOdbpbWuJxWTlm3+lg8XEdYqZKAfcANP+S+Ff/0r19z/Q49tvcIuL69hGFO6DTa/DiLkQmgJAxWefY87NJeiJxxtWpZlNVrYsPYbaQ8HAaTGuT6kjdArxf1lwqU35m0jwSzgnsAB4uim4tn8EX2zPRWdy7qa8ap2JnbmVjIwPaNdpk8PChjE+ajw/nviR3cW7ndq21tj4zRFqSvVMvDcN5cSnYceHVC94hapvviXk2Wc7PrAAhCSDTxQc/53Zs2dz9dVXM2vBfK57bx7GI0cablOq5KSMDWfzli3I5XJ27drVYtEGg4HZs2eTkpKCQqHg6quv7sA3InQEEVwEl7HZbWwq2MSIsHOHxE67c2QPdCYLTy/d57RNeVabjUVbstEo5QyN9W93OZOiJzEwaCDLji4jvy7fKW1rjaM7SziwoYCRN/TEP8wTBt+NyWcoRa/Nx3vKJLTXtn8pdHZ2NuvWrePEiRMt3yxJEDvekTHAbADgrj//mU25uRz6+edGt/qGeLAl8yfiIhOIDW85+ebZaXImTJjQrvciuJYILoLLZFVkUWGoOO98y2kxAR78a0ZflmcU8MX2HKfU++O+Qo6X1nPH8Bg8mzvLpAWSJHFtr2sZGzmWI5VHqDS0fOa9zX5hxxbXlOlZ81kW8QOC6DMyDAC7xUL+OjVytY2QYcZ2ndaZm5vLhAkT6NGjB2PHjiU2Npbx48dz8uTJ5h+MGuyY4K8vAeCKK64g0Nubz3/6qdFtOp2On1av4OopN7JvXcvLk9udJkfoMkRwEVxmU/4mPJQe9Avs1+x9V6aGMWtoNH9fcYAvt+e0uwdjs9n5eX8hvx4sYXrfMOKDW3mmSTMUMgWjI0ZjtBhZm7OWOlNdk/fuL93P7zm/Y7QY21WX1Wrjl48P4KZRMPbWhIYgUvL6GxiOniD8sduRH/wCjvzapnJra2sZP348q1evbvT6mjVrGD9+fPMLFBRqx9CY2bHoQqFQcNOkSXy1dWuj/0/ffPMNJpOJuU/fh0lvQemm6Lg0OUKXIIKL4DIb8zcyJGQIylakkP/r9D7cMDCSp5bu45Fv9qBv48Y8ndHCgs0n+HF/EVOSQ7gs0XnnwyhkCkZFjkImk7E2d22TweNk7Uny6vL4cN+H7apn+4rjlJ6sZeJdSbi5O3pcdevWUbFgAUGPPIz79U9B3GWOs1/0LfeiTvvggw84evToea8dP36c999/v/kCPAIcp2aeMvvGG8mtrub3s4bG5s+fz7XXXkt4dDAJw0OJCOmBTS+SsndnIrgILlFrqmVP6Z5mh8TOplLIePGaFF6/MZWf9hUx/tW1vP37EUprm+8F5FboeP3Xw3yw4Th5FXruHRPHlJTQdg0dNUej0DA2ciwGq4H1eeux2M4sQDg9FDa1x1Su7XktaoWaRQfOPT+m2feRVcGuVTkMuTqWkB6O3GXm4hIKnnwKzzFj8Lv9dsccyJVvgUkHPz3R6rI3bNhwQdfxCGwUXJIGDmJgWBjzP3QE0WPHjrFhwwbmzJkDOJYn//D5OmI8BqCrFcuTuyvxq4PgEtsKt2G1W1sdXE67Ji2CvhE+fLj+OG+vOcr/Vh9hWFwAPfw1RPppCPRyo6jaQE6FjmOldWw7UUGYVs0/rkxmUA9ftO4dd3Sx1k3L2IixrM9bz47CHQwJG4JMkiGTZNjsNmSSDG+VN5OjJ7P82HKK64oJ9gxusVyj3sK6Lw4R1cePtAmOM2rsVisFjz+OpFQS+vJLZ4KlNhym/MuROTnxSkic3mL5LQXaFgOxHeDMPYoAf25KTuavP/1ETU0NCxYsIDo6mssuu6yhvMQRoWxZdoz96/IYOLVHu1bsCV2b6LkILrExfyM9tD0I9wxv87NxgZ78a0Zftj01gSenJKKUSWw5Xs5/fznE/32VwVu/H2VXThVadyUvX5PCrw+PYUKf4A4NLKcFaAIYHjacSmMlmeWZDfMOp49tBnBTuCEhIbXiA9Vus3NwYwE2q53LZvdpeKb8gw/Qbd9O2CuvoPDza/xQ6s3Qeyp8/xDUl7dYx7hx45q9Pnbs2OYLqC91zL2cItNouLJfP+SSxBdffMGiRYu44447GgUppZuClDERVBXryd5T1mIbhYuP6LkInc5ut7OpYBMToi5sialWo+TOkT24c2SPhnLrjBY83RROH/ZqC4VMQV5tHiuPrWRo2FCGhg7FTe6GzW6j3lzPm7vexGQzcU/qPS2WlXe4gt2/nuTyO5LQeDuCoy49ndK33ibgvvvwGDL43IckCaa/Ae8OgR/mwvWLHK814a677uL9998/b6bnhIQE7r777uYbWV/mOA7gLNqQUK4eOpSnn36a6upqZs+efU65L7/8Min9hnN0dwl+4R74BDU+XuHgwYOYTCYqKiqora1tSJHTr1+/5tsjdAkiuAid7nj1cYrqixgZPrLlm9tAkiS81C0vDuhIBouB8d+MByDOJ463dr/Fh3s/xEftQ62pFrkkJ94nnqeHPI1CpsButzcZCGsr9RzdWUry6HAiEx29E2tVFfmPPoZ7/zQC7r+v6YZ4BcO0V+HbObB/CaRc1+StGo2G33//nXvuuYcVK1Y0tGn69Ol88MEHeHo2c2CbWQ9V2dgU7igUZz5OFAH+3JzWn8/WrGHixInnHDl9Ok1ObFog5fn17Fubx7Cr41CozuSXmzp1aqOl0KdT5IikIhcHEVyETrcxfyNucjcGBA9wdVOcTq1Q8/Gkj7n7l7uZ238uhfWFbC3cypzkOQRpgjDZTER6RTbc31RgMZus7P41h7pyA6NvcmQ1ttvtFDzzLHa9nvBXXkFStPDPN3kGHFwBPz7qyAXm1fT8TnBwMMuXL6ekpIScnByioqIICmrFirqcLWA1UaKTiO99Zj+K3D+ANK22yUBw9uspY8PZsuwYWVsLSR4d0fB6dnZ2y/ULXZaYcxE63ab8TQwMGYha0fxBYBerQSGDeHzw48xdO5eevj1JCkjim8PfYLVbifCMaPF5u93OvrV5nNhdxpiZvZGfythc+fkX1K1eTejLL6E867yZZk17DWQKWPl/DQkmmxMUFMTAgQNbF1jsdiozfuKHEwrWbtjUaCe9wt8PW3U1NrO5xWI03m4kDAul4HA1heL0ym5DBBehU+nMOtKL0xudOtkd3ZxwM7OTZ/OnX/7EuMhx+Kv9mb9/PtXGlj88T+4vY/uKE4y8oSfe/qfS6GdmUvLvf+M7axZe48e3viEe/nDF/+DwT7C9fftrmnR8DXP+/TX3vLacRx55hKvOSu8v9/cH7FgrKlpVVFhPH4JjvcncVIC+hQPihIuDCC5Cp0ovTsdsM7d5CfLF6MG0B7ky/krW561ndtJs5JKcj/d/jM7c9Bk1VSU6Vn14kMQRocSlOXoPtvp68uc+jKpnPEGPPdr2hiRMgyH3wqqnIS+95ftbo+I47PmKZe+/SF5BES+++GKjIT5FQAAAlrLWrQSTJInE4aEolDL2r8vHZhPzKhc7EVyETrUpfxPhnuHEeMe4uimd4rlhz3FV/FVo1VrmpMyh1lTLooOLMNvOHS6ymKz8+O5etIHujLguvuH1oudfwFxSQvirryJTtXM59eXPQ1g/+Pp2KD/WzndzSl0JbH3Pkfal743nvUXu7Q0KBdbylpdCn6ZSK0geE05lkY7sfWJ58sVOBBehU53OguzKpcKdzU/tWOkVrAlmdtJs8mrzWJy1+Jwkluu/OkxthYGJdyWhUDpWTVV/9x3Vy5cT+tzfcOvRo/2NUKjg+oWO7x+Mhczv21dOwV5Y/U+QZDDkPseRy+chyWQo/P2xtCG4APiFetKjbwDHdpZQU25o+QGhyxLBReg0uTW5nKw5yfDw4a5uisvEaGO4uffN7C/bz+aCzQ2vH95eRObmQkbf1Au/UMepksYTJyj8xz/RXnWVc44r1kbA3Wshdgwsngnfz219L6biBGSuhB0fQGACXPZXx3xOMxR+bQ8uAHEDAgnr5UNFfh1Wy4VlkRZcRyxFFjrNpoJNKCQFQ0KGuLopLpUcmMyt0q18e/hbCuoKmOg7nbVfHKLnoGAShjlWgdlMJvIfeQRlYCAhf/ur8ypXa+GGT2Hbe7DuP5A+H+LGO4a3/HuCbzRo/EFXAZXZUH4U9i6G/J2OeZukayFuXLObMk+TB/hjzDrU5ibKZDJ6Dgzm2O5SCo5UNezxES4uIrgInWZT/ib6BfXDU9XMprxLRHJAMhvyNvDi5peoPumHu5cHY2/pfSaN/n//i+nIUWIWf4XMw8O5lUsSDL0PBtwBB5bBjo9g2VnZAmQKOCvxJmH9Ydp/IfEqx7BaKymCg9HtzsBuszUcedxaKrWC4BgvCo9UUe2vRvuH3ftC1yeCi9ApTFYT24q2cXffFlKJXELuTb2X6rVq9MU24u+SUJ1Ko1/7++9UfvIpwc88g7pPn45rgFIN/W52fOmroOqko7dSWwReIeAbAz7R4O7TvuKDg5F7eWKtrUWh1bb5ed8QDwx1Zkpza3HXqlC5iY+ri4n4vyV0it0lu9Fb9E5P+XIxO7m/HK+saPJTdvHVoaUsjF1ID6M3hU89jef48fjeOrPzGuPu4/gKTXVemTI5VV9/g+eYsSgGDWzz45IkERDpRfoPJ6gpM9Dv8qiG7Mmnd/hLktRsCh3BdcSEvtApNuVvIsA9gN6+vV3dlC6hrtLI6kWZRKf489Rd9xDuFc4Dq+4le+7/Ibm7E/riCxf9B6YyLBRbbS2m7BPtLkOlVpAwLJSyvLpGy5MlSWr4+VzsP6fuSvRchE6xsWAjw8OGiw8CHMct/7bgAHK5xGW3JeLupuKdy97hs0euwJRRSND891D4+rq6mRdMplLhlpyErbb2gsrxC/Mkpm8AR7YXY6w3U1NuQOOlQl9nRiaXcHN3JAB10yjpPSSk5QKFTiF6LkKHK64v5kjlETEkdsrOn7LJP1LF5XOScPdyTJB77Mtmyro6Voxx5/HqhZis3SMFiu+NN6EMa/uZPX8U3z8QpVrOms8OUXSsmrpKIyadBV2NCZlcYtfPJ/lt4UEObixwQqsFZxDBRehwmws2IyExLHSYq5vicgVHqtjx/QkGTo0hvLejd2KprKTgscfQDBzI5Oc+ZG/pXp7Z+Mw5mywvShIYznNOTFvJ5DIGTYvBy8+NqhIdw66JY+QNPRl1Q08sZhvaIA2x/QJx8xCDMV2FCC5Ch9uYv5GUgBR81D6ubopLGerM/Dr/ACFxWgZNjQEcE9OFTz6F3Wwm7JVXSAsdwL9H/5tV2at4Nf1V1zbYCeQ+vljKy51yBouXnzvDronHWG/h1/kH0NWYWPXhfrK2FBIY7cXAKTEN+dgE1xNhXuhQFpuFLYVbuDXxVlc3xaXsdjurP8nEbLJy+ZwkZKfT6H/yCXXr1hHx3jyUwY4PxgnRE3hy8JO8vP1lQjxCmNVnliubfkEUAf7YDXps9fXImzt0rBXsNjtx/QMpOFLJvrX5lGTXoA3WkDg8jN5DgnHTuPagOKExEVyEDrW/bD+1ptpLIgtyc/atzSN7bxlT70vBy89xjo1+/wGK//sqfrNn4/WHc+pvSbyFIl0Rr+x4hUBNIJNjJrug1RdO4XfqBM2KigsOLpJMQldjwm4DhUpGTbmBkdf3JDrFkYFZLEnuWsSwmNChNuZvxFvlTbJ/squb4jKlObVsWnKUvuMi6JEaCIC1ro78hx9G3asXQQ/PPe9zD/V/iKmxU3l6w9PsKNrRmU12mjOp98+fY8xusWAztC5BpaHOzI/z9lKaW0vC0FDkChlZW4sc5YjA0uWI4CJ0qE35mxgeNhy5TN7yzd2QyWBh1Uf78Qv1YPi1jjT6drudor//A2t5OeGvvYrURBp9mSTj+eHP0z+4P/+35v84Wnm0M5vuFJJCAQollvLzp9DXHzhA3ebN2K3WFstSeypJGhVO8phwxtzSm1E39kQml6gu1YnA0gWJ4CJ0mApDBQfKD1zSQ2LrvzxMfbWJSXclI1c6/rlVL1tOzfffE/KPf6CKjm72eaVcyetjXyfUI5R7f7uXovqizmi20+Q//jim7GwsJaUNr5mLi7GbHEut5T4+GA9mYqmqalV5icNDSRjqSO7Za3Awnn5q9q3Nx2LuBivruhkRXIQOs6VgC3bsjAi7NINL1tZCDm0rYuzNvfAJdiReNB4/TtHzz6OdcS3a6dNaVY6Xyot5E+Yhk2Tcv/p+ak0XtimxM5nz8lFFR2GtqgQcvba8B/5M/XbHMJ9bdDTGQ4ewtjK4nE2ukJMyNhxDvZlD2wqd2WzBCURwETrMpvxN9PbtTaAm0NVN6XSVRfWs+/IwvYeG0PvUb9o2o5H8uQ+jDA0l5Jln2lRekCaIeRPmUVRfxENrHrpoNlnKvTyxmy2O5cgWi2P4ym7HeCir4R5rdTXm7Ox2le/po6b3sBDqq0yU59U5qdWCM4jgInQIm93mOHXyEhwSs5it/PLxATy0Kkbf1Kvh9ZJ//wfTiROEv/4aMk3bU8jH+cTx1vi3yCjJ4B9b/nFRbLJ0HzQIm06HTa/HbrNhqapCptGg27kLQ1YWVcuWYa2tRXYBK8kievmicpfz80f7qas0OrH1woUQwUXoEFkVWVQYKi7JlC+blx6jorCeSXclo1I7VvvX/PorlV98QfBTT6Lu3f7knQOCHZsslTIlG/M2OqvJHUZ75ZV4jBqJKjoGw8GD1P2+Bu9pU/G/806qv/8ew8FMNMOGohkwoN11SJJEwpBQzHoLqxcdxG678A2bwoUT+1yEDrEpfxMahYZ+gf1c3ZROVXyihn1r8hh5Q08Co7wAMOfnU/jMs3hdfjk+N910wXVMiJ6Av9qfn7N/RilTMiy866bVUYWHo05Opmbl99StWYMiMBDPsWNRhoWhionGpjegirjw3GNqTyWXze7Div9lkPFbLmkTo5zQeuFCiOAidIiN+RsZEjoEpfzS2jW9b10eXv5qUsZGAI59HPmPPobM04PQF5532pLZtOA0SvQlLD+2HE+VJymBKU4ptyNoUlMx7N2LMjwCTb9UFP7+AA3fnSUy0Y9+l0ex9btjRCT4NgR3wTXEsJjgdLWmWvaU7rnkhsT0dSaOppeQPDq84VCrik8+Rb93L+H/fRV5O05jbM7l0ZfTN6Aviw8tpri+2KllO5MkSSh8fZF7eTk9oPzR0Ctj8Qvz4JePD2A2tbx3Rug4IrgITretcBtWu5XhYcNd3ZROlbm5EDt2Eoc7VofZrVYqP/sM7ZVXoumf5vT6ZJKM63pdh6/al08PforR0nUns2VeXljrOn4JtVwpY+KdSdRVGNj0zZEOr09omggugtNtzN9IjHcMEV4Rrm5Kp7Hb7BxYn0/PAcENZ7TUrV+PuaAA31tu6bB63RRu3NrnVqqMVaw8vrLD6rlQck9P7Bd4aFhr+YZ4MOL6nhzYUMDxjNKWHxA6hAguglPZ7XY2FWy65IbECo5UUVNmIHnMmcnpyi+/RJ2SgntKx+ZVC9YEMyF6AjuLdzLztpkNRwBLkoS/vz+TJ09m7969jZ45fX3r1q2NXjcajfj7+yNJEmvXrm1TO1588UWGDx+ORqPBx8en0TWZpyfW+nrsts5ZPp00KoweqQGs+TSL+qqu26PrzkRwEZzqePVxiuqLLrn9LeUF9cgUEkEx3gCYCwup37AR3wtYHWaz2Vp9Dsqg4EFISJTpy5g8eTKFhYUUFhayevVqFAoF06dPP+eZyMhIFixY0Oi1ZcuW4dnOPScmk4nrr7+e++6775xrMi8vsNmw6XTtKrutJEli3KwEZHKJ3xaK5cmuIIKL4FQb8zfiJndjYPBAVzelU9WU6/H2d2+YyDccOgR2Ox4j2x5kN27cyNixY1Gr1bi7uzN58mQyMjKafcZD5UFqYCplujLc3NwICQkhJCSEfv368cQTT5Cbm0tpaeMhottvv52vvvoKvV7f8Nr8+fO5/fbb29xmgH/84x/MnTuXlJRzV67Jvb2R+/hgM3ZeL8LdU8WE2X3Iy6pkz++5nVav4CCCi+BUm/I3MTB4IGqF2tVN6VQ1pXq8/c+8Z3NuHpJKhSKwbalvfvzxR8aNG8e6deswm80YjUZWrVrFsGHDzhnC+qNE/0SMNiMWm6Xhtbq6Oj7//HPi4+Px/8NKrQEDBtCjRw+WLFkCQG5uLuvXr2fWrHMPJxs7diyzZ89u03s5m0yjwVJVhaW4c1e1RfbxI3VCJFuWH6M09+LJydYdiOAiOI3OrCO9OP2SGxIDqCkz4B3g3vBnc14uyvBwJFnr/4lZrVbuueceLBbLOdcMBgP33ntvs8/7qR0Hc/384894enri6emJl5cXK1asYPHixcjO05Y77riD+fPnA7BgwQKmTp1K4HkCYlRUFKGhoa1+L38kyeWYs09iOnGi3WW017Cr4vAN8eBXsTy5U4ngIjhNenE6Zpv5kgsudrudmjI9XgFnei6m3DyUEW1bLbd7927y8vKavL5nzx5ycnKavO7n7gguA0cMJCMjg4yMDLZt28bEiROZMmUKJ0+ePOeZW2+9lS1btnD8+HEWLlzInDlzzlv2J598wssvv9ym9/NH8gD/Jg8N60hypYyJc5KoKTew+duL70yci5UILoLTbMrfRJhHGD28e7i6KZ3KbgeLydqQRwzAptMh8/BoUzk1NTUt3lPbzHJelUyFhISbuxvx8fHEx8czePBgPv74Y+rr6/nwww/Pecbf35/p06dz5513YjAYmDJlSpva3BYKf/8mDw3raH5hHoy8Lp796/M5sUcsT+4MIrgITnM6C3JHngo4e/Zsrr766kavvfTSS8jlcv71r3+1q8z169dzxRVXEBYWhiRJLF++vE3Py2QSnn5qasvPTIwrw8Mw5+e3qZyUlBQUiqYzMnl7exMXF9fk9WpDNXbs56TckSQJmUzWaOL+bHPmzGHt2rXcdtttyOUdd2Kowt8fa3l5q1fAOVvS6HBi+gbw+6dZ1FeL5ckdTQQXwSlya3I5WXPSJUNiCxYs4PHHH2+YO2ir+vp6UlNTefvtt9vdBu8ANdWlZ86CV0VGYs5t2wqlwMBA7rrrriavz507F7W66YUS5cZTQ05mKCoqoqioiMzMTB588EHq6uq44oorzvvc5MmTKS0t5Z///GeTZd9222089dRTzbY/JyeHjIwMcnJysFqtDUNzdXWOc1bk/gHYDQZs9fXNltNRJEli/KwEJJnE6kWZYnlyBxPBRXCKzQWbUUgKhoQMafY+u93O22+/TWpqKlqtlpSUFF577TWsrThD/XzWrVuHXq/nn//8J/X19axfv77NZUyZMoUXXniBa6+9tl1tAPAOcP9DzyUCa1UV1rq2HWD1+uuvM3PmzEavSZLEAw88wF//+tdmn82vzUdCYvWvqwkNDSU0NJQhQ4awY8cOvvnmG8aOHXve5yRJIiAgAJVK1WTZOTk5FBY2f9rj3/72N9LS0njuueeoq6sjLS2NtLQ00tPTAVAEOFarWcs7f97lNHcvFZfPTqQku4YDG9rWsxTaRmRFFpziUOUh4nzi8FQ1vwHv1ltv5Ysvvmj48/79+3nkkUfYtGkT3377bZuH1D7++GNuvvlmlEolN998Mx9//DGjR49uuL5w4ULuuOOODh+K8Q5wb5RqRBXtSPluPHwYTf/+rS5HrVbz2Wef8cQTT7Bx40bkcjljx46lV69ezT5ns9vYXrSdp157ilt+ajndTHM/Dx8fn3Out2a3/sKFC1m4cGGT108nrbSUlaOKjm6xvI4S2cefy25PpOhENXVVBjx9Lq1l851F9FwEp8irzSPSK7LZe1asWNEosJxt6dKlLF68uE111tTUsGTJEm699VbAEbi+/fbbRhPjWq2W3hdwOFdraQPcMdZb0NU4jh9WJyWhCAul6tQekrZKSUnhvvvu4+67724xsAAcqTxCuaG8SycLlanVyDw9XTapf7aoJH9kchn71xdgtXT9Ez0vRiK4CE6RX5ffYqLKJS180LZ0/Y+++OILYmNjSU1NBaBfv37Exsby1VdfNdxzzTXXkJWV1VQRThOR6ItcISNrq2PoSJLL8b3xJmq+/wFrdXWH1m2xWfjt5G+EeoQS7e26HkFrKPz8sZZXuLoZyBUy+owMo67CwOHtRa5uTrckgovgFDWmGrxUzR/OVFHR/IdKZWVlm+qcP38+Bw4cQKFQNHwdOHCAjz/+uE3lOIO7p4r4gUEcWJ/fMFHsc90M7DYbVcuWdWjdP5/4mbzaPK6Jv6ZDV+o5gzwgAIsL51zO5uWrptfgYHIPVlKa0/IycKFtRHARnCLUI5SCuoJm7zlfzqmzJSe3Pnvwvn37SE9PZ+3atQ2rkjIyMli/fj07duxg//79rS7LWZJHh1NTZiDnoCOIKvz98Z40icpPPm3zxH5r7Sndw/r89UzpMYUYbUyH1OFMCn8/LGUdMyxWW1tLQUEBtjZkXo5M9MM/woPD24tdtkS6uxLBRXCKCK8I8uqa3l0OcM899+Dldf7ejbu7Ow888ECr6/v4448ZPHgwo0ePJjk5ueFr5MiRDBs2rKH3smzZMhISEpotq66uriE4AZw4caJhSW1bBPfwJiDSk33rzvwcAh/8M9aaGgqfedapH142u421uWv5IvML+gX0Y1TEKKeV3ZHkQUHYLWZsJpNTyjt58iTPPPMMCQkJREVFkZSURFhYGFdeeSXLly9v8WcuSRI9UgMw6ixUFrlmiXR3JVaLCU4R5RXF8qPLsdqsyGXn34gXHR3NkiVLuPHGGxsNgXl7e/P555/Ts2fPFuux2WzIZLKGFVXnM2PGDF5++WX+/e9/U11dzaFDh5otMz09nXHjxjX8+eGHHwYcWYObW/30R5IkkTImgjWfZ1GeX4d/uCeq6GhCX3qR/L/8H5WffIJfOzMOny2vNo/thdvZW7aXy6IuY0LUhC4/HHaaW3Q0HkOGYDMYkDWz9Lk1du/ezdKlSzGbzVx55ZXnXN+8eTMVFRXcdNNNaDSaJsvxDfEgtl8AhjozX3/9dcPSaQCNRoNWq2XChAmNet5n/7w9PDyIi4tj7ty5bU7uOW/ePObNm0d2djYASUlJ/O1vf+vQTAmdRbKLvqDgBAfKD3DT9zfx5rg3GRc1rtl7q6urWbJkCdnZ2URFRTFjxgx8fX1bVc/kyZOJj4+/oA2PHclisvLNv9Kx2+xc9+TAhpQwxf/+DxWffkr0gvloBg1qc7n15nrSi9L56tBX7C3dy6w+s7gs6jJ6+rYckLsSm05H9fff4zF8OKo25l4729atW/noo49adW90dDRPPfVUs9kPyvNqKcquZkvWKmpraxpyrNXW1vLLL7/w+uuvs2/fvob7JUliwYIFTJ48mfr6ehYvXswzzzzDzz//zKRJk1r9PlauXIlcLic+Ph6ARYsW8corr7B7926SkpJaXU5XJIKL4DS3/HAL3ipv3rv8PaeXXVlZyebNm5kxYwZfffXVOSlgupLKonq+eTmdmBR/Lr8zCUmSsJvN5Nx5F/rduwl+9ll8brgeSZKw2W1UGaso1ZVSpi+jVH/qu66UUn0pRfVF5NflU2FwzOMk+Scxq88sJkZPPCfNy8XAbrdTtXQp6qRk3BPat0S8tLSUxx9/HIPB0PLNp0ybNq1hyfr5WExWDm4sYM2e5VhsJh555JGGa8ePH2fAgAEcPny4IWO0JEksW7as0d9Df39/Zs+ezauvvtr2N3UWPz8/XnnlFe68884LKsfVxLCY4DQ39r6RZzc9S0ZJBv2C+jm17Dlz5rBjxw4eeeQRrrrqKqeW7Wy+IR6MntmT1fOzIESPKrWeUn0p5Q8OJHx+BfbnnmPVijf4ZKqaQltlo/NXALRuWgLdAwlwDyBWG8uYiDFEeEUQ7xNPb7+O37PTkSRJQhEQgN3c/jmXVatWtSmwAKxevZprr722yeExhUqOXCnDZrXDWSOMBoOB3bt3Exsbe855OKdZrVaWLFlCRUUFSuWZgN/WDbxWq5VvvvmG+vp6hg0b1vo310WJ4CI4zdTYqXx7+FseXfcoX1/xdcP5Is6wrIOX87aW2WamxlhDvakeg83AnpI9FNYXUqp39DTKdI7eR6WhkuEh12D9YQQrst+i1DsHP7UfgVMDGR6VyGVfHuYfRVByxzWoxwwnwCOwIaCo5Bc2F9HVmfLy4EQ2mhZWDzZl8+bNbX7GYDCwc+dORo1qeuGDUq3AZrGza98u7rjjDgDkcjkxMTHMnz//nPNwbr75ZuRyOQaDAavVip+fX6PccK3dwLtv3z6GDRuGwWDA09OTZcuW0adPnza/x65GDIsJTlVUX8QNK28gwS+Bdya8g1LW9Ydu7HY7RquRGlMNtaZaaoyO77XmWsdrxlPfzbXoLY78Ye4Kd7QqLcuPLUctVzcEhkDNqe/ugfi7BZD3hYy6fAsjb+5J8ogzcwzGo0cp/Ntz6Hftwq1PIgH33ovXhAltOlzsYlW9YiX6A/sJaSER5vno9fomz5xpyTXXXMMNN9zQ5PWT+8tYvOJTLJypQ6fTkZ6ezrPPPsuvv/5K9Km0NZIkMW/ePCZMmEBubi4PP/wwc+fO5bbbbmtzu0wmEzk5OVRVVbFkyRI++ugj1q1bd9EHGBFcBKfbUrCF+3+7n76BfXllzCsEaYJc0g673U69ud4RKEyOAHE6gJz9Wq2pFpOt8TCNSqbCW+WNl8oLL5VXw397u536rvTG280bd4V7syu1LCYrGxYf5uCmQhJHhDL6xl4oVPKG9um276Bs3jx0W7eiio8j4J578Z4yGamZyeeuwGq1cuDAAfLy8ggKCiI5ObnZjM1nq9u8meplywn718tIbUzxX1lZyf3339+eJjN58mRub2a1Xm5mBV8uWYTc3dZozsVmsxEVFcXs2bN54YUXgHPnXI4ePUpaWhrbtm274KAwYcIE4uLieP/99y+oHFfr2n+DhYvSsLBhzJ88n0fXPsr1K6/n+RHPMyp8lNOWy1ptVurMdY0CRUMPw9w4eFjtjbMtuyvc8VZ64+Xmha/alyjvKLyUZwWNU0FErXBOMkOFSs64WYmExPmw7stDlObUMvnuZLSBGiRJwmPIYDyGDEa3azdl779HwWOPUfr2WwTcfQ/aK69AUnatnp/dbuett97ilVdeaXRqpq+vL/fddx/PPfdcs9mVwZECBpsVa1UVZWYzL774Ij/88AP5+fkEBQXRr18/HnroIS677DIAYmJieOihh3jooYfw8fFBqVRiNpvZt28f+fn5TJ48uVVtDwwM5MMPP+STTz5p2GQ7YMAAXnrpJQYPHozJYEEmP//f0ebOwwGIj49nxowZPPXUU3z33Xetak9T7HY7RuPFf96MCC5Ch0gLSuPrK77myQ1P8sDqB4jVxnJj7xuZHjcdb5X3eZ8xWo2U6x2HSVUZq6g2Vp8Zqjrre725HjtnOtwSEh5Kj4bAEKIJoadPz8Y9j1PBw1XDdInDQwmM8uTn9/fz1Qs7SBkdTuqESDy0bgBo+qcR9f776PcfoPz99yh85hnK3nkH/z/dhfbaa5G5ubmk3Wez2WzcdNNNfPPNN+dcq6ys5KWXXmL16tWsXr0aj2ZO4Tydev/Ynj2MnzULHx8f/vOf/9C3b1/MZjOrVq3igQceOG9OOEmS6NWrFwcOHGhz+xMSEvj888+5+eabGT58OGq1mv/85z9MnDiRAwcOYDLIkMklTGYzVVVVgGNYbNu2bc2eh3PaI488QmpqKunp6QwcOJBly5bx1FNPNZvb7umnn2bKlClERkZSW1vLV199xdq1a/n555/b/P66GjEsJnQou93OjqIdfHXoK37P+R2r3Yq/2p8IrwiCNEHUmGoaJsFrTDV4q7yZ0XMGRqsRk82El9ILT5UnnkpPx3+7eTZ+TeWFp9KzyY2bXY1Rb2H3qpPsW5uH1WonaWQYaROj8PRt3FMyHD5M+fsfUPPTTygCAvC/cw4+N9yAzN3dRS2Hl19+maeffrrF+2bNmsUnn3zS5HW7xULBk08xZ/MmDuTkcOjQoXOCUVVVFT4+PkDjngvAtm3beOONN9rUc4mNjeXFF18853Wr1Yqvry9vvvkm/aMv4/ddy9mWfmbBgL+/P7179yY6OrrRRs3zLUUGmDhxIgqFgh9//LFVq8XuvPNOVq9eTWFhIVqtlr59+/LEE09w+eWXt/ieujoRXIROU6IrYVvhNvLq8sirzaNEV4K3yrvRJHiwJpgYbQzeKm/UCjUyqXtOcBt1ZvauyWPP77mYDVYShofSf2I02sDGwcN44gTlH3xI9YoVyLVa/GbPxveWm5F7Nn9ujrPpdDrCw8MbfqNvjiRJHDlypNkjmTOffoakf73Miy++2OIJl38MLna7nVdeeYVPPvmkUXApLi5mzZo1TJ8+Hc+zfj5KpZK///3vxMbGnlN2bW0tQUFBfLLgc3oHDSI2LfCcQC+0jxgWEzpNkCaIK+KaH1q4VLhplAya1oPUyyLZvy6fjN9yyNxUSO/BwfSfHI1viOM3ebcePQh7+SUCHrif8o8+ouyttyj/+GP8Zs3Cb9atyLXaTmnv+vXrWxVYwPHhv3LlyoZgcD45Vgt2u73FvG+nPfHEEzz77LONXtPr9Xh7nxliVSgUeHl5NVoyrFQqufvuu88bWACefPJJwsPDSe01BJtR1jBMKVw4EVwEwYVUagX9J0WTMi6CgxsL2P1LDlnbiogfEMTAKTH4hzt+A1dFRBD6978TcO+9lM+fT/mHH1KxYAG+M2fiN/t2FH7O21N0PqdzX7XWyZMnm70u83QkMG3tIo/HHnvsnLxdb7zxBitXrkStVmMwGPD392fatGkN12NjY7nzzjubDCz/+c9/+PLLL/n1l9UYa2yExHohyS6OHG0XAxFcBKELUKrkpI6PJHlUOJlbCtm16iRfPb+dHqkBDJwaQ1C04zd0ZUgIIU8/TcDdd1OxcCGVn31Gxaef4nvDDfjNmYMyuGOWfbc291tr7++h9UaSJDIzM1uVyicgIKAh/9bZr/n6+vLOO++wc+dOCgsL0ev1BAYGkpCQ0GRQAfjvf//LSy+9xG+//UZEQBwl9TUNvUXBOURwEYQuRK6UkTw6nMQRoRzZXszOn0/yzcvpRCX5MXBqD0LjHMNgioAAgh59FL8776TyU0eAqfzyS3yum4H/nXeiDA93arsGDRrkyJHWyinaQS0k5/QymRifmso777zDX/7yl2Yn9Fui0Wia3Xn/R6+88govvPACq1atIimhL0d3luAX6tGw/0hwju45WyoIFzm5XEbCsFBufm4IE+9Moq7SyNJXdrL89V3kZVU0fMgrfH0J/MuDxP++moD776fmx584OmkyBc88g6mFoam2iI2NbXUa+Pj4+GYzA9vtdizlFbz++ONYrVYGDx7MkiVLOHLkCJmZmbz55pvtyq21fft2EhISyM/Pb/Ke//znPzz77LPMnz+fyIgo0tdlUqOrwDNYBBZnE8FFELowmUyi56Bgbnp2MFPuTcGkt/LdGxksfWUn2fvKGoKM3MuLgHvvIf731QQ98gh169dzbMpU8h97HOPRo05py/vvv09AQECz96hUKj7//PNz8nCdzVJSAiYj8X37smvXLsaNG8cjjzxCcnIyl19+OatXr2bevHltbp9Op+PQoUOYzeYm73n33XcxmUxcd911RESGM3p6P0ZOTeX1119rc31C88RSZEG4iNjtdnIOVJD+4wmKjtcQGOXFwCkx9EgNaDQZbTMYqFqyhPKPPsZSVITXxIkE3HsP6sTEC6r/8OHDXHfddY3ONjktPDycxYsXM2LEiGbLqP7uO3Q7dxH812eRuSADgdVio+BIJZWFOqKS/PEJbvogMaH9RHARhIuQ3W4n/1Al6T9lk3+oCr8wDwZOiSFuQBCys4KM3WSiesUKyt7/AHNuLp5jxxJw3724p6a2u26bzcYPP/zAqlWryMvLIzg4mJEjR3L99de3mF/MZjRS9M/n8Rg+DO1ZK7s6S12lgbLcWox6CyGxWrSBIrB0FBFcBOEiV3i0ivSfTpJzoBxtkDsDJsfQa0gwcvmZoSm7xULNjz9S9t77mI4fx2P4cALuu7ddp2JeiLpNm6heuozgp59C0cT5KB3BqLOQf6iSkwfKiEz0I7KPP27uYj1TRxLBRRC6iZKTNaT/mM2JPWV4+avpPymaxGGhyJVnBRmrldpff6Vs3nsYDx3CfeAAAu67D4/hw52WWLQp5uJiSt74H5rUvvjedFOH1gWnTr0s1pGbWUHxiRokmUR4Lx96Dg5BoRDTzR1NBBdB6GbK8+vY+VM2R3aW4KF1I+3yKPqMCkN51lJbu91O3Zq1lM2bh2HfPtR9+xJw7714jhvbIUHGZjBQ+uabIEkE/uUvHZaIU19noqKgnvL8OioK6zHprGi8lUQk+hHW0weVWvRWOosILoLQTVUW1bPr55Mc2l6M2kNBvwlRJI8Jb/QBa7fbqd+0mbJ589Dv3IlbQoLj4LKJlzvt4DKbyUTlF19gPHSYwIf+D2VwsFPKBTAZLFQW6SgvqKMivx5dtQkk8A5Q4xfmSUC4B74hHmLnvQuI4CII3VxNmZ6dq06StbkQpZuc1MsiSRkbgdqj8Uot3Q7HwWX1m7egiosj4J678Z469YIOLrNUVFDx+ReY8/Pxm3Ur7klJF/RebBYblSU6KvLrKS+op6ZMD3bQeCvxC/fEP8wD31AP0UPpAkRwEYRLRF2lgd2/5HBgYwFyuUTK2AhSL4vE3avx4V76jAzK3nufurVrUUZF4X/XnWivuKJN6f7tFgs1v/6K8fARJKUS7TXXoAoNaXOb7TY7tZUGKovqqSzUUVWiw2axo1TL8QvR4BPqiW+wBo138weUCZ1PBBdBuMToakxk/JrDvvX5YLeTNDqctMujzskIbDh4kLL33qf211+ReXvjc801+N50I6qYmCbLNpeUUPXtt1Qt/hprdTVBTz6JzzVXt2mOxVBnoqpET3WpjuoSPRaTDZlcwjtQjTZQgzbIHQ9vNzHU1cWJ4CIIlyhDnZk9v+eyd00eVrONPiNCSZsUjZdf470qptxcqhYvpurbJVirqlBGRKCMjEAVEYEiOARLeRnmvHzMubmYcnORVCq006fje/NNqFtxnryhzkzB0Sryj1RScKiS2gojkgQBkV6E9/YlrKcPwdHejVa9CV2fCC6CcIkz6szsW5vPntW5mPQWeg8LYcDk6HM2GNqMRmp//Q1jViamU8HEXFyMws+P/2/vblqbiKI4jP9tnLzq5MVoQjODmGpMoe7EpbjsdxYEEcGdSNGmoAub1hQzZpikcZowybhIEQKFgh4p1Oe3nQ/wMJd77nF8X1nPU3arLXd3Vxn34lXWkpTMFxp8jtTvjXTUCzXsT6RUqjaL8ro1ed2qWp2KcsWrWUkNG8QFgKTVzauPb77p/ctDnU3mevi0oScvPDXb7l9dT14uUw0PJzrqjdTfD3XyJdIiWargZuV3q/K3V0FhA+T1QlwArEnmC316O9CHV32Nh7Hq/i3tPG+p86wpJ3f568Fpmir6Hq9i0gt1fBBq9jPRzVxGrU5F/vnfSW2z9M8HN3F1iAuAC6XLVP39kfZeH+vrXiAnl9Hd+67K9bxu1wsq1wsqVXOKx3NFQaxJcKZxEGs0mOo0nGlj44YabVfe46q87ZoaD9y1J2lwvREXAJca/4h18O5Eo/PZkiiINZsmv787+YzcekHunbzK94pqPapos8NE/P+MuAD4I7M40TScqeA6ypccjriwhrgAAMxxAAoAMEdcAADmiAsAwBxxAQCYIy4AAHPEBQBgjrgAAMwRFwCAOeICADBHXAAA5ogLAMAccQEAmCMuAABzxAUAYI64AADMERcAgDniAgAwR1wAAOaICwDAHHEBAJgjLgAAc8QFAGCOuAAAzBEXAIA54gIAMPcLCtQUfSqjC48AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(5,5))\n", - "hnx.draw(H_node_collapse)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "# There are no duplicate edges in H, but there are in the dual of H\n", - "HD_edge_collapse = HD.collapse_edges()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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+4Hl6JZFNwkWICNXdLpQD1aFDh1i9ejUXXnght956KyaT6YyOV6vVDB8+nGnTplFbW0txcTEAeqOWMTOysDe7qSxu6Y2m9zsSLkJEIEVRcDt8svTLF7S2tvLWW29RVFTEjBkzUKvP/uMtMzOTESNGUFxcTF1dHQDm5ChS8+OoKm6R7ZR7QMJFiAjk8wQIBhSpXL7g/fffx2AwcN11151TsBxXVFREWloa27ZtIxjsuBWWPTwRl81Hc40sFXM6Ei5CRCC34/jsfAkX6KhaDh48yEUXXXTGt8K6olarGTVqFG63m5qaGvLy8khIi+bKe0eSnBOHSqVCpVLxwAMPhOR6/Y2MYxQiArmOh4tULgBs27YNvV7PqFGjun1eIBDgww8/pLi4mIyMDK655hpiYmK6fL7ZbCYpKYmysjK2bNlCIBCg+mALJdsasYzwcNVVV3LTTTeF+uX0CxIuQkQgt1Mqly/at28fI0eOxGDoeqmWI0eOcO2117Jnz57OnyUmJvLqq68yc+bMLo/Lz89ny5YtxMbGYjQa0QdjaDmssOztZxg8eDCXXNJ/d/Q8F3JbTIgIJLfFTggGg7S2tpKWltbtc6677rqTggWgubmZ66+/nurq6i6PNZvNADidTgCMsXp8fh+vvLqEu+++W/aB6YKEixARyO3wodWp0ell0UqbzUYwGMRisXT5nE8++YRdu3Z1efy///3vLo+Njo4GvhAu0To27FpDm62Nr33ta2ff8H5OwkWICOR2ygTK42w2GwCxsbFdPufQoUPdnqO7x3U6HTqdjvb2dgDUahUfrl/KxdNmkJGRcRYtHhgkXISIQG6Znd/py5XFqWRmZnZ7ju4e9/v9+Hw+jEYjAOXl5Wzbs4EFN91xFq0dOCRchIhALofMzj/ueJ9Ia2trl8+ZNWsWWVlZp3xMq9Vy5513dnns8YrleIg9/9y/iI9LYM6cOWfZ4oFBwkWICCS3xU7QarWYzWYaGxu7fI7BYOCNN94gKSnppJ/rdDr+8Y9/MGJE14t/2u12oCNcgsEgL7zwApdPu5ZYS1RoXkA/JUORhYhAboePhDT5cDuusLCQPXv2cPnll6PRnHqQw5QpUyguLubFF1+kuLiY9PR0Fi5cyJAhQ7o9d0VFBWazGZPJxKpVq6iuqeLKb12HKVZWR+6OhIsQEcjt9GGQyqXTpEmT2Lp1KwcOHOi2CklKSuKxxx7r8XmdTid1dXWMGzcOlUrFrFmz2LyiDEVR0Orkxk935LcjRISRRSu/KjU1lZycHNatW4ff7w/ZeQ8cOIBGoyE7OxsAh9WNta6d7GGJIbtGfyXhIkSE8XkCBPxB6dD/kquuuorGxkY++OCDkJyvsrKSI0eOMHr0aHS6jt91VbEVvUlDal7Xw55FBwkXISKMLP1yahkZGVx11VVs2bKFHTt2nNO5rFYr27ZtIycnh/z8fADa7V5qS6xkFllQa+Sj83Skz0WICOOWRSu7NHHiRGpra1m2bBlNTU3MmDGjyw7+rlRVVbF161ZiY2MZP348KpWKoD/I7o+q0ek15I6SW2I9IeEiRISRyqVrKpWKefPmkZyczKpVq6iqquKKK64gKyvrtGuAWa1WamtrKSkpISsri3HjxqHVdnxEHtxcj73FxeRr8tEb5WOzJ+S3JESEOV65mGJkKOypqFQqpk+fTmZmJsuWLeNf//oXaWlpjB8/nvT0dCwWC9HR0Xg8HqxWK01NTezatYvq6mqmTJnCmDFjyM3N7Qyj2pJWqvZbGTY9DXOyDP/uKQkXISKM2+lDo1Wj1ct9/+7k5uby4IMPUlpaypYtW1i5cmXnY2q1unN3SYD09HSuvvpqhg8f3lmtADRV2Ti4sY6s4fFkDUs4r+2PdBIuQkQY17F1xWSp99NTq9UUFhZSWFjYWalYrVZsNhtRUVFYLJbOSubLWhvaObytkfTB8RRNSZXf9xmScBEiwnhkXbGzYjAYSEtL63bfl+OOlrex8h97ScuPY/KcfNRqqRLPlPzGhIgwLllXrFc1Vtl556+7MCcZufzrw9HITPyzIr81ISKMWyqXXmOtd/LOX3cSl2RizgNjZDO2cyDhIkSEcTtl6ZfeYGtysezPOzHG6Jn78BgMJuk1OBcSLkJEGNkoLPScrR6W/XkHGp2aax8dK8O8Q0DCRYgII7fFQsvl8LLsLzsJBhSufWQs0WZDuJvUL0i4CBFBfN4Afl9QKpcQ8bj8vPPXXbgdXuY9Mpa4JFO4m9RvSLgIEUE61xWTcDlnPk+Ad5/aha3JxbxHxmJJ++pcF3H2JFyEiCAnln6RcDkXfl+A9/6xm8ZqB9c8NIakLFlCP9QkXISIIJ2LVkqfy1kLBIJ8+Pw+akvamPPt0aTlm8PdpH5JwkWICCK3xc6NElRY899iKvY0c9U3R5I1xBLuJvVbEi5CRBCXw4dao0JnkMl9Z0pRFD5dcpCSrUe54p4R5I1KCneT+jUJFyEiiNspi1aeDUVRWP9mCfvW1XLZHUMpmJAS7ib1exIuQkQQmeNydrauLGfn6iouuqWQYdMzwt2cAUHCRYgIIku/nLmdqyvZ/M4Rplw7iNGXZYe7OQOGhIsQEcTt8Epn/hnYt66Gz98oYfyVuUycnRfu5gwoEi5CRBC30y+3xXro0JZ6Pll8kFGXZDJ1/qBwN2fAkXARIoK4pHLpkSO7Gln9n2KGTknjoluKZABEGEi4CBFBpHI5variFt5/bi+DxiRx2R1DUaklWMJBwkWICOH3BfB7AtKh3426klZWPrObrCEWrrhnBGqNfMSFi/zmhYgQbocfAINULqfUWGlnxVO7SMmN46r7RqHRysdbOMlvX4gI4XZ6AWQjq1NoqXWy/K87iU+NYs63R8v2xH2AhIsQEcLVua6YbL/7RW2NLpb/ZQdRcXrmPjwWvWxP3CdIuAgRIU4sWimVy3EOa8f2xFqDhnmPjJXBDn2IhIsQEcLt8KFWq9Ab5ZYPQLvNy/K/7EBRFK59dJxsT9zHSLgIESHcTh8GWbQSAE+7j3f+thN3u59rHxlHbIIx3E0SXyLhIkSEcDtkXTEAr9vPiqd2YW9xc+0jY4lPjQp3k8QpSLgIESHcTlkR2e8LsPKZPTTXOpn70FgSM2PC3STRBQkXISKE2+Eb0Eu/BAJBPnhuH0fL2rjmgdGk5sWFu0miGxIuQkSIgVy5BIMKa/6zn8p9zVz1rVFkFMr2xH2dhIsQEcI1QCsXRVH4dNEBSrY1MOueEeSOSAx3k0QPSLgIESEG4i6UiqLw+esl7P+8jhl3DWPweNmeOFJIuAgRAQK+IL4BuGjl5neOsOujKi6+tYihU9PD3RxxBiRchIgAbuex2fkDqHLZ/mEFW1eWM+26wYy6NCvczRFnSMJFiAjQGS4DpHLZu7aGDW+VMmF2LuOvzA13c8RZkHARIgKcWLSy/4fLwU31fLrkIKMvy2LKPNmeOFJJuAgRAToXreznt8XKdjSy5oVihk5L58KbCmWpmwgm4SJEBHA7fajUKgz9eDn5yv3NfPCvvQwel8xlt8v2xJFOwkWICNAxDFnbbz9waw+38t4ze8gelsDlXx+Oup++zoFEwkWICNCf57g0VNhY8fddpA6K46p7R8r2xP2E/C0KEQHczv45O7+51sE7f91FQno0V98/Gq1sT9xvSLgIEQFc/bByaW1oZ/mfdxJtMXDNg2PQG/tvf9JAJOEiRARwO7z9qnKxt7hZ/ued6E1a5j0s2xP3RxIuQkQAt7P/bBTWsT3xTgDmPTKWqDh9eBskeoWEixARoKNDP/I/hN1OH8v/shOv28+1/zNWtifuxyRchOjjAoEgXncAY0xk90l43X7e+dsunK0e5j0yFnOybE/cn0X2u1WIAaBzdn5MzyoXbzDI6mYbxQ43lW4vlW4PBpWaHJOeHKOeCeZoppqjz+vsd783wMqnd9Na7+Ta/xlHYoZsT9zfSbgI0cf1dEXkWreXF2ubebm2mSafn0SdltxjgeINKmyzOXnrqBVHIMioGBM/GZzOJHMMBk3v3sAI+IO8/+xejh6xMfeRsaTkyvbEA4GEixB93PHKpbsO/TfrW/juwWo0Krg5LYE7MxMZGm36yvMUReHzVgev1rXwidXOhlYHt6QlkhNl6JW2BwNBVv17P1UHWrjm22PIKIjvleuIvkfCRYg+rrvKxRMM8sThGl6obebGVAu/KcoiRtv1RESVSsWFllgutMRi9fr5b20Tvyuv5+Y0CxdZYkN6q0wJKnz88gHKdjZy1TdHkj08IWTnFn2fhIsQfZzb4UOlAn3Uyf9cg4rCQ8WVvN/Yxu+HZHF7euIZhYNFr+XBnBTePGplcV0LKhVcZAnNLStFUVj3+mEObKzn8q8NZ9DY5JCcV0QOCRch+jiXw4chSveVxRz/WF7P8oZW/jUyjznJ8Wd1bp1aza3piQQVeLXOSo7RQK7p3G+RbVpWxp6Pq7l04RCGTEk75/OJyCNDkYXo4061rtjbR638sfwoPxyUftbB8kU3pVnINOp4rqoRdzB4Tufa9n45296vYPoNBYy4KPOc2yYik4SLEH2c23Hy7PztNiePHqjkxlQLD+WkhOQaOrWaezKTafH52drm5Kc//Skqleqk/9LSTl+B7Pusho1vlzFxTh7jrsgJSdtEZJLbYkL0cW6nD8Oxzvxat5ev7TnCyBgTfxiSHdIO+BSDjpGxJj5tsaMoCiNGjGD16tWdj2s03a9Y3FBhY8NbpYyZmc3ka/JD1i4RmaRyEaKPO165OAMB7tpzBJ1KxX9G5WM8zfyUHTt2MHfuXBITE8nMzOTee+/l6NGj3R5ziSWWKreXVn8ArVZLWlpa53/JyV13yjdUtFGyrYEhU9O44MYC2Z5YSLgI0de5HT700VoeLq6k1OXhpdGDSNZ3P6Fy/fr1TJ8+nRUrVtDS0kJtbS3PP/88kydPprGxscvjhsWY0KpUtPoCHD58mIyMDPLz87n11lspKys75TGNVXb2raslKSuGC26Ufe9FBwkXIfo4t9PH6+YAKxvbeGZ4LsNjvjo58svuv/9+3G73V35eWVnJT3/60y6PU6tUJOq0ZI4Zx4svvsgHH3zAc889R319PdOnT6e5ufmk57fUOdi1porEjBgKJqbI9sSik4SLEH1YMBBkS7KaVzVufjQ4gyuTzKc9pq6ujt27d3f5+Pvvv9/t8Ul6LdkXXcINN9zAqFGjuPzyy3n33XcBeOGFFzqf19bQzo4PK4lPjWLExZmo1fJxIk6Qd4MQfdhWm5MVk6K5UmXk29k9m4jo8/m6fdzr9Xb7uF6twvel0cjR0dGMGjWKw4cPAx2bfW37oIKYBCNjL8+Rfe/FV8g7Qog+qsrt5e59FeTYgtxj1fS4LyM7O5u8vLwuH7/ooou6Pd7uDxCnO/mjwePxUFxcTHp6Os42D9veL8cUo2P8rBy0OvkYEV8l7woh+iCHP8Cdu8uI0qj5drWK9kZPj49VqVT8/ve/P+VjsbGx3fa5ALT5Ayz95c/49NNPOXLkCJs2beLGG2/EZrNx8w0L2PZeOTq9hglX5aEzyGwGcWoSLkL0MQFF4dv7K6hye3lxdD6ZFhP2ZtcZnePGG2/kzTffpKCgoPNnF1xwAZ999hlFRUXdHmvzB7HV17FgwQKGDBnC9ddfj16v59OP19G0T0GlVjHhqjz0JgkW0TV5dwjRxzxZWsfqZhsvjR7E0GgTnowYDm062rHVcTfL7n/Z9ddfz/XXX09DQwNGo5G4uNMvSukOBPEEg/zuvy8wyXxiQy+v28/Wd8sJ+P1MumbQGbVDDExSuQjRhyypa+bpqgZ+WpDBzMSOMCianIqCQvH6urM6Z0pKSo+CBcDmDwAQ+4XZ+H5vgO0fVOBx+ZkwO4+ouJ7tiCkGNgkXIfqIja0OvnewmtvTE7k368TIMFOsnoIJKexdV4MSVHq1DcfDxXxsTxi/P8iOVZW0t3mZcFUuMRZjr15f9B8SLkL0ARUuD3fvPcIkczS/Lsr6ysiwUZdkYWt0Ubm/pVfb0XYsXOK0GoL+ILtWV9LW5GL8lbnEJZ1+8qYQx0m4CBFmdn+AO3YfwazV8PzIPHSnmOWemh9H2iAza185iKe9+3ks58LmD6BVqTCpVOz+pBprXTvjLs8hPjWq164p+icJFyHCKKAo3LevnHqvlxdHDSJBd+oxNiqViivuHo6n3c+aF4pRlN65PWbzB4jTqtn3WS2NlXZGz8wiMTPm9AcK8SUSLkKE0c9KavnUaue5EfkURnffnxGXZGLm14ZzZFcTO1ZV9kp7bP4AeleQupI2Rl6SRUpOaLY9FgOPDEUWIkxeqm3i2epGflWYySUJsT06Jn90EuOvzGXj0lKUoML4WbmoQrRYpN8boPqoE1W7j+EXZJA++PTrmAnRFQkXIcLgM6udxw9V87XMJO7O6tmaYcdNuXYQao2KjW+XUV9mY+ZdwzBGn9u8E0erm72f1uDN0pCXEkNWkeWczieESumtm7dCiFMqa/dw9bZDjI41sXj0YLRnWXmU72li9X/2ozdpufCmQvJGJ53xkvd+X4DGCjsV+1owRGv5ZJCOceZoLk2U22Hi3Ei4CHEetfn8zNnesbLwivGFxHfRgd9TtiYXa14opvZwKzEJBkZclMnwCzJOO9GxpdbJ/s9rKd3egN8boGBSKlPnD2b81mL+d1AGt2UknlO7hJBwEeI88QcVFu4uY5e9nZUTihgUZQjZuRsqbOz9tIZDW46iBBTi06KISzIRl2QkLtFEwB/E1uTC1uSircmNrdGFKVbH8AszGHFRJrEJRpq9fkZ8vpd/j8zj6uT4kLVNDEwSLkKcJ48fqual2iZeGTOYCy0968A/U26nj5KtR2mpa+8ME1uzG41GRVyyqSNwEo2k5MUxaEwymi8sl1/scHHZloOsGF/IRHN0r7RPDBzSoS/EefDv6kb+U9PE74qyei1YAIzROkZeknXSz45/fzzdfjCNXj8AyXr5WBDnTt5FQvSyT1vs/LikhnuzkrgzM+m8X7+nm4w1eDtm/ifrZcVjce5kEqUQveiw0829+45wsSWWnwzODHdzutXg9ROrUROlkY8Fce7kXSREL7H6/Ny5p4w0vZ5/jsg76yHH50uD10eKVC0iROS2mBC9wBdU+Mbectr8Ad6bMJg4reb0B4VZo9cv/S0iZOSdJESIKYrCDw9Xs7nNyWtjB5NrCt2Q497U4PWRYpDKRYSG3BYTIsSer27ipdpmfjski2nxkbOicIPXT4pULiJEJFyECKE1zTZ+UlLD/dnJ3JYeWbPcG6XPRYSQhIsQIXLA6eK+feXMTIzjR4Mzwt2cM+INBmnxBaTPRYSMhIsQIdDs9XPn7iNkG/U8MzwXTQ/nlvQVTccmUErlIkJFvqYIcY68wSD37D1CeyDIm+MKiImAkWFf1tAZLvKRIEJD3klCnANFUfjewWq229p5c1wB2cbuVyPuq47PzpfKRYSKhIsQ5+CZqkZeqW/hb8NymBTBiz02ev2ogMRz3AJAiOOkz0WIs/RhUxu/KK3l4ZwUbkpLCHdzzkmD10eiTtvnVxEQkUPCRYizsN/h4v79FVyVZOYHg9LD3ZxzJnNcRKhJuAhxhhq9Pu7YXUa+ycBTw3JQR9jIsFORdcVEqEm4CHEG3IEgd+8px6covDAqn+gIHBl2Ko1eP8kGqVxE6Ei4CNFDiqLw3YNV7HG0899R+WRG6MiwU5HKRYSafFURooeeqmzgjaNW/jE8l/FxkTsy7FSkz0WEmlQuQvTAysZWniyr47G8VOanWsLdnJBy+gO0B4JSuYiQknAR4jT22Nt5YH8lc5Pj+W5eWribE3LHZ+fLumIilCRchOjGUY+Pu/YcoSjawF/6yciwL5PZ+aI3SLgI0QVXIMjX9hwhqMALowb1273lZV0x0Rvk3STEKSiKwv8cqOSA08Xb4wtJ68c7NDZ4fehVKsz9ZFi16BskXIQ4hT9VHOXthlaeG5HHmNiocDenVzV6/STrtaj64S0/ET79s84X4hwsa7DyuyP1fD8/jbkp8eFuTq+TOS6iN0i4CPEFO2ztPFJcyXUp8Tyamxru5pwXDV4/KTI7X4SYhIsQx9R5vHxtTxnDY0z839CcAXObSCoX0RskXIQA2gNB7tp9BK1KxX9H5mPqpyPDTuV4n4sQoSTvKDHgBRWFh4srKHF5eGd8ISn9eGTYlwUVhUapXEQvkHARA97vj9TzbmMb/x6Zx4gYU7ibc15ZfQH8isxxEaE3cGp/IU7hraNW/lRxlB8OSmd2cny4m3Peyex80VskXMSAta3Nyf8cqOSmNAsP5qSEuzlh0SjrioleIuEiBqRqt5ev7T3CmNgo/jAke8CMDPuy45VLslQuIsQkXMSA4/QHuGtPGUa1mn+NzMOgHrj/DBq8fmI16n67bpoIH6mFxYASVBQeKK6g3OVlxfjCAf+NXea4iN4i4SIGlF+X1fFBk40XR+UzbICNDDsVmeMieovUwmLAeK2+hb9VNvCTwRlckWQOd3P6hAavb0DN6xHnj4SLGBA2tTr47oEqbktP4L7s5HA3p89o8PpljovoFRIuot+rdHn4+t4jjI+L4jdFWQN2ZNipyOx80VskXES/ZvcHuHPPEWI1Gv41Mh/9AB4Z9mXeYJAWX0D6XESvkHeV6LcCisL9+yuocXtZMaGIRPkQPUlT5/bGUrmI0JN/baLf+kVpLR8121g0ehBDoo3hbk6f09AZLvIxIEJP3lWiX1pc28w/qhr5ZWEmlyXGhbs5fZKsKyZ6k9yAFv3OequD7x2q4s6MRO7JTAp3c/qsRq8fFZCok++YIvQkXES/Uu7ycM/eI0w1x/BkoYwM606D10eiTotWLb8jEXoSLqLfsPkD3LG7DItOy3Mj89DJh2a3ZI6L6E3yzhL9gj+ocN++chq8flZOKMQit3pOS9YVE71JKhfRL/y0tIa1VjvPj8hjcJSMDOuJRq+fZIOEsOgdEi4i4r1Q08Tz1U38qjCLixJiw92ciCGVi+hNEi4ion1mtfPDw9Xck5nEXTIy7IxIn4voTRIuImKVtru5Z285F8XH8rOCzHA3J6I4/QHaA0GpXESvkXAREanV5+eO3UdI0Wv554hcGU57ho7Pzpd1xURvkXeWiDi+oMK9+8qx+vysnFCEWUaGnTGZnS96m/yrFBFFURT+93A1G1odvDpmMPlRhnA3KSLJumKit8k7S0SUf9c08WJtM/83JJsLLDIy7Gw1eH3oVSrMWk24myL6KelzERHj42YbPz5cwzfMZm5wa/G3elCCSribFZEavX6S9VpZHkf0GqlcRJ/mrbLj2FTHwUY73yhQM80a4N4PqmmkuuMJGhVaixFtShTRE1IxDktAJZ37pyVzXERvk3ARfY7iC9C+qxHHxjp81Q7sSQYeHmsgQ6PmmaGZxF8YhUqrxm91E2hx42924ylvo/ml/WjiDURPSSN6YhqaWH24X0qf1eD1kyKz80UvkneX6FO8tQ5aFhXjb3FjLLJgvHMYD7mtONvdvDGhiBTTiQ58XUrUycdW23FsrMP+URX2j6ux3FhI1Ojk8/0SIkKD18eY2KjTP1GIsyThIvoM59ajWN8uQZdsIvV/JqBNNvGdg1Vss7Xz+tjB5Jq6Hxmmz4ol4cZYglfn0/puGdalJfhqHcRdnotKK92LX3S8z0WI3iLvLhF2ij9I67JSnFvqiZ6URvy8Qah0Gv5Z1cDiuhb+MjSHKfExPT6fOkqH5cYioitsuA604NhcR/SEVNRyGwiAoKLQKH0uopfJvzYRVgG7l+aX9uOtdWC5sZDoiWkArGpq42cltTyYk8It6QlnfF6VSoUhz4w6VodzfS2OTXXEXpglnf2A1RfAr8gcF9G75F6BCBtvrYOGp3bit7pJuW9MZ7AUO1zcv7+CWUlx/HBQ+jldQ5cYRdSkNHy1Tlz7mkLR7Igns/PF+SBfXURYuPY20fLqQbQpUSTeORytuaM/pdnr5849R8g16fn7sFzUIZiHoU+LwTQqCdeeJrSJJvQZPb/F1h81yrpi4jyQykWcV4qiYFtTSfPLxRiHJZB83+jOYAkoCg/sr8AZCPDCqEFEh3D2uGlYIrq0aJyb6lACwZCdNxIdr1ySpXIRvUjCRZw3ii9AyysHsa2qIO6KXBIWDEWtPxEgfy4/yqdWO88MzyPLGNo5Kiq1iqhxyQTdAbzVjpCeO9I0eP3EaNREaeSfv+g9UheL8yLQ5qHppf34j7aTsHAoUaNOnn9yyOnmD+X1fCcvjUt6aTdJrdmINjkK92Erhty4XrlGJJDZ+eJ8kK8uotd5q+wcfWonQbuX5G+N+UqwQMdWxYk6LQ/lpvRaO9auXcttv7mPITdNQqVS8fbbb/fatfqyRtmBUpwH8g4Tvap9ZwMtbxxGnxFN4h3DT7kki9Mf4LX6Fu7OSsag7v77TktLCx999BFut5tp06YxePDgHrfF6XQydvJ4bhk3h7v+8NAZv5b+osHrk/4W0eskXESvUIIKttUV2D+qImpcCpbrC1HpTh0ca1rs2ANBFp5mPss///lPHn30UdxuN9Axl+Xee+/l73//O1rt6d/Ks2fPZvbs2bStroABHS5+iqKM4W6G6OckXETIBT0BWl47iHt/M+bZecRcnNXt0u5l7W4sWg053Szv8v7773P//fejKCeW2FcUhWeffZakpCSefPLJHrdPEz2wv7XL7HxxPkifiwgpv9VN4z924TncSuIdw4m9JPu0e4ZUur3kmLofHfaHP/zhpGD5or/97W94PJ4et1EdM3A/WL3BIC2+AMmyFI7oZRIuImQ8FTYa/r6ToNtPyrfHYBqe2KPjat0+Mg3dh8u+ffu6fMxut1NZWdnjdqqPVS4Dcb5LU+f2xgM3YMX5IeEiQsK59SiNz+5Gm2wi5YGx6NKie3ysRafB6vd3+5zU1NQuH1Or1SQn93xpfcUTOHbgwFtnrKEzXKRyEb1LwkWcEyWo0LqyDOsbh4gen0ryPaPQxJzZBMhck4EKl7fb59xxxx1dPjZ37lzi4+N7fL2Ao2OG+kDc4lfWFRPni4SLOGtBt5/mF/bhWFeD+ZpBxF9fcFb7puSY9NR5fDj8gS6f8+ijjzJ//vyv/HzIkCH84x//6NF1HA4HO3fuZOeunQAcOXKEnTt3ntEttUjX6PWjAhJ1UrmI3iXvMHFW/M0uml7YT8DmIenrIzEWWc76XBdZYlEBSxus3JGRdMrnaDQa3nrrLd58803effdd3G4306dP5+tf/zoxMT1biHLr1q1cdtllnX9+7LHHALjrrrv473//e9btjyQNXh8JOi26AXhLUJxfKqWrIThCdMFd2krLomLUJi2Jd434ynbDZ+OuPWVUubysmTSkV29X+Zrasa2qJPbiLPSZkbc6suL14qutxVtVTaC1FV16GrrsbLTJyahOMwEV4PFD1WxsdfDx5KHnobViIJPKRZwRx6Y6WpeVYhhkJvG2oaijQnPv/msZSSzYXcbqZhtXJJlDcs5T8RxuRR2jQ5fe8wEH4ebaswfr4iU4N27EX18Pp/g+qNLr0efmEHvVVcTfdBO6lFMvoyPrionzRcJF9IgSUGh7twzH+lqip6UTf80gVCFcVfeShFhmJMTyyIFKVk0cQmaIV0WGjj4iT5WNqJHJfX5HyqDXi+2dFViXLMG9dy+6jAzMc65Gn5eHLisLXVY2mngz/ro6vNXV+KqqcR84QPPz/6LpmX8Qe/nlJCy8jahJk046b6PXT04v/G6F+DK5LSZOK9juo3nxATxlbcTPG0zM1HPbHbIrLT4/V2w5SKpBxxtjC0K+JHz73iZc+5uwzCtAbey736u8VVVUP/IInuIDRF90IZYFC4i5+GJUmtPvbxOw22lb+jbWJUvwHjlC/C23kPrDx1EbOlY/mLpxP1cnxfNEQUZvvwwxwMloMdEtX2M7DU/vwlfrIOmekb0WLAAJOi3Pjcyj2OFmzrZDlLa7Q3bugMOLe38zxgJLnw4W+0cfceT6Gwg6nOS98To5zz5L7GWX9ShYADSxsSTceQeDVr5L+q9+hX31aqru/SbemhoA3EGFLIPcFhO9TyoX0SX3ISvNi4vRxOlJumsE2kTTebluscPFN/aWc9Tr42cFmdyQasF4jlWMbW01gRY35jn5qHWh2+EylBqf+jtNTz1FzOUzyfjVr9DEnfueM976emzvvEPQ7cF07Tz+5NVwXaqFUbHnPghDiO5I5SK+QlEU7J/X0PSfvRhy40j59tjzFiwAw2JMfDCxiFlJZr5zsIrxG/bxi9Las65kvNV2fDUOosan9NlgaXtnBU1PPUXSww+R9be/hSRYAPRpaSQsXIg6ykT10mW0+gIYBuDkUXH+SeUiTqL4g7QuL8W5uZ6YizIxz84Pa+d3abubF2uaeaW+hTZ/gJExJualxDM3OZ78qK5XUT4u6A9iW1WOOlZP7AWZfXJWvqekhCM330Ls5TPJ+O1ve6WNAYeDrS8u4j+XXMmP81LJjD5/XxbEwCThIjoFnD6aX96Pt9KO5boCoiemhbtJnVyBIB+12Fje0MqHTTZcwSCjY0zMTYlnXko8uV0s1+862ILnSBuxF2ae8bI050PQ6eTIzbegUqvIe/VV1FG9d7tqU2k5/3HDE6V7yJg3t9euIwTIUGRxjK/eSdML+1C8QZLvHYUhr/fmmpwNk0bNnOR45iTH0x4Isqa5I2j+r7yeJ8vqGBNrYl6KhXnJZrKPBY2vsZ2W1w4Sc2FWnwwWgOZ//RtfTQ35b73Zq8EC0B6fgKa+meCnn+AdPw59VlavXk8MbBIuAtf+ZlpeOYg2wUjiN4ejtfTtXQqjNGrmpsQzNyUeZyDA6mNB8/sjdfyitJZxsVHMSzFzwZp6ko1a4i7MDHeTT0nxerG+9hrx11+HYdCgXr+ezR8gTqdFYzbjXL8B/c039fo1xcAl4TKAKYqCY201be+XYxyWSMItQ1Ab+maHd1eiNRquTbFwbYoFpz/AqmNB8+vSOrx5MK4wmvn1TVyTHN8rEzPPhe3DVQSamrAsWHB+rucPYNZqiZ46FfvHH2Oeew1qk/S9iN4ho8UGKMUXxPraIdreKyf20mwSbx8WccHyZdFaDfNTLTxfmM2ajW5+a9WSajbyZGkdEzbsZ+62wzxX1Uidp/vl/c8X6+LFRE2ZgqGw8LxczxYIEKdV88KePUx7+hmi4uOZMGEC69atOy/XFwOLVC4DUMDupfml/XhrHSTcOoSosadehypS2T6sIMoVYOHMQu4yG7D5A3zY1MbyhlZ+UVrLj0tqmGKOZm5KPNckx5MWhkmF7v37cW3fTuZf/3LGx7a0tPD222/T0NDAiBEjmD17Nlrt6f8pt/kD1H6wkmcff5zf3XYbk3JyeN1mY/bs2ezfv5+cnJyzeSlCnJKMFhtgvDUOml/chxKEpDuHo8+ODXeTQspb46DhqR2YZ+cTe/FXO6zbfH4+OHbr7NMWO35FYYo5mnnHgiblPAVN7Y9+hPOzzylYvQpVD4LhuLfffps777wTu93e+bORI0eyYsUKcnNzuz328UNVvHnrfGZOmcxv5s6jfds20n/8I4YNG8b8+fP59a9/fdavR4gvk9tiA0j7niYa/7ELdYye1AfH9rtgUYIK1rdL0KZEEXPBqdfOMuu03JyWwMujB7HnghH8aWg2URo1T5TUMGb9Pq7fUcJ/a5poPLZjY28ItLZie2cFlltvPaNgOXToEAsWLDgpWAD27t3LDTfc0O2xQUXB2u6idPcuZs2ahSbBQrC1FcXvZ9asWaxfv/6sXosQXZFwGQAURcG2uoKWRcUYhyWQfN9oNObTT0CMNM4t9fiqOubo9GTF5nidllvTE1k8ZjB7LhjJH4dmY1Cr+N/D1Yz5fB837ijhxZommo7tOx8qrW++BcEg8TfdeEbHPf/887jdp16lYNu2bd0GhDMQxGm1EgwESE1NRZuYCCgErFZSU1Opr68/o7YIcToSLv1c0BugZckBbKsribsil4QFQ1HrI7vj/lQCDi9t75cTNSH1rOboWHRabktPZMmYweyePpLfD8lGo1Lx+OFqxqzfy807S3i5tpnmcwwaJRDAumQJsbOvOvYB33MlJSVn/XjbF7aQVqlUaOI6fkf+1jYURemTKxeIyCYd+v1YoM1D04v78Te0k7BwGFGjTr2FcH/Q9l45AObZeed8rkS9loUZiSzMSKTJ6+e9plaWN7TyvYNVfP9QFRfFxzIvJZ6rks0knOFe9I516/BVV5P5xz+ccbuyTjPpMTs7u8vHmr1+jBYLGo2G+vp6gsc2E9PExdLQ0EBqauoZt0eI7kjl0k95q+wcfWonQYeP5PvH9Otg8ZS30b7tKOar8kI+Ez9Jr+WOjCReH1vArgtG8KvCLHyKwncPVjH6870s2FXKkrpmWn09q2isixZjHDkS4+jRZ9yWu+++G00XS+8XFRVxySWXdHlss8+PSW9gwoQJrFq1Cn9zCwAai4VVq1Yxffr0M26PEN2R0WL9UPvOBlreOIQ+I4bEO4ajie1bkwdDSQkEOfrXHaj1GpLvH3PeFtls8Ph4t6mN5Q1WNrY60apUXGw5VtEkxWE+RUXjLS+n9KrZpP/618RfN/+srvvss8/ywAMP4PefCLOsrCxWrlzJqFGjujxuUW0zJe1uhm77jDvuuIM/PfAAo3x+luq0PPfcc+zbt++0o82EOBMSLv2IElSwrarA/nEVUeNTsFxfiErbv4tT+9pq2t47QsqD49BnxoSlDUc9PlY0tvJOQyub2jqC5tKEjqC5MslMnLaj2jj661/Ttmw5BZ9+0rkz5Nk4fPgwr7zySuc8l9tuu424bpbodweDPH6omostsVyXauHpp5/mNz/5CUetrYwcM5o//elPXHzxxWfdHiFORcKlnwh6ArS8ehB3cTPm2fnEXNQ3l5cPJX+bh6N/3Er0xDTi5w0Od3MAqPN4ebexY8Lm5jYnepWKyxJjmRtnYtDCW8i6bj4p33nsvLbpc6udl2ub+XlhJsl6HUGnk7qf/4LYKy4n7vLLz2tbxMAhHfr9gN/qpvmF/fitbhLvHI5p2JmNQopUbSvKUBk0xM3qO7dz0g16vpGVzDeykql1e1nR2DEY4MGyo+ie+AMz4mOYf9TKFYlxxGh7f9SeOxDkwyYbI2JMJOs7Jog6t2wFRSF6ypRev74YuCRcIpynvI3ml4pRGTSkfHsMutTocDfpvHAfbMG1p4mEW4egNvbNt3GGUc83s1O4NyuZDQvvZO3kC1h70Qzu31+BUa1iZmIcc5PjuSIxjuheCBpFUVhc10yrP8C3spM7fhYM4tywHtPo0Whi+9ckWtG39M1/laJHnFvrsS4tQZ8TR+Ltw9BEn/81ssJB8QWwLi/FUBCPaUxyuJtzWq6tW7Fs38pDD97PDyYUUeX2sqKho6L51v4KTMeCZl6KhZmJsUR3MSLsTK1psbG5zck9WUmkH1sR2nPoEIGmJqJvuSUk1xCiKxIuEUgJKrStPILjsxqiJ3f0N/T3jvsvsn1STaDVQ9LXRkREv1LLosXo8/OJmjYNgGyjnvtzUrg/J4UKl4cVjR2jzr65rxyTWs0VSXHMS45nRmIcUT1YaeDLfMEgbx9tZU2LjcsT45hkPjHQwfnZ52gzMtDn54fs9QlxKhIuESbo9tOy5ADuQ1bi5w4ienpGRHzAhoqvyYX90ypiL85Cl9y7OzeGgu/oUeyrVpH6+OOn/HvKNRl4ICeFB44FzfKGjlFn39hXTpRGzazEOOalxHNZQhym0wRNUFHY2Opgn8PFYaeH2zMSuSD+RLD4m5txFxdjvunGAfWeEeEh4RJB/E0uml7cR8DmJenrIzEWWcLdpPNKURRal5eiidUTe1nXs9H7ktZXX0VtMGCef+1pn5trMvBQbioP5aZypN3DO8cGA9y9t5xojZork8zMTIglP8pAjtFAvFZDrcdLpdvLbruLRbXNNPn8PJabykO5KZ3bPR/nXL8elclE1PjxvfVyhegk4RIh3KWttCwqRh2lI+WBsRHxrT3UXHub8ByyknjX8IhYHy3o9WJ99TXM8+ejiTmzOTj5UQYezk3l4dxUStvdvNPQyrKGVt46aj3l83UqFXOSzdyTlcTEuOivVCZBr5f23buJnj4dtb7/TqoVfYeESwRwbKyjdXkphsFmEhcMRR01MDruvyjo8dP2ThnG4YkRM9Ta/sGHBJqbsSy87ZzOMzjKyKN5aTyal0abz0+lu6NaafH5yTToyTXpyTLqMai7vm3mPngQtcFA9LSp59QWIXpKwqUPUwJBWleU4dxQR8z0DMxzBqHSDMx75bZVlQRdfuLnDgp3U3rMumgRUVOnYhgcugmeZp2WUToto2J7XrkqikLDb3+HJjkJrWVg3UoV4TNwhhhFmGC7j6b/7MO5qZ746wo6RoQN0GDx1jlxrK8hdmYOWosx3M3pEde+fbh27jznqiUkbdmxs2M49HXXhbspYgCRyqUP8jW00/zCPoIuP0n3jMQ4OD7cTQobJajQ+nYJ2iQTsRdmhrs5PWZdvBhtejqxl10W7qZgXbwYXU4O0RdeGO6miAFEKpc+xn2whYa/7wSNmpQHxg7oYAFo334Ub4WN+GsLImYuj99qxbbi3TPexrhX2tLYiO2DD7AsWICqmz4ZIUJNKpc+QlEUHJ/X0vZuGcYhCX16WZPzJeD00bbyCFHjUiIqZNveOrttjHuD9fXXUWk0xF8vt8TE+TWwP736CMUfxPp2Ce1bjxJzcRbmq/LO274kfZntg3KUoIL56siZTa4EAlgXLyHu6qvRJiSEty0+H62vvIp57lw05jPf+lmIcyHhEmYBh5fml4vxVtmx3FRE9ATZbhbAU2nDubme+GsHR9RmZ45P1+KrqcHy5z+FuynY16zB39DQJwYViIFHwiWMfPVOmv67D8UfJPmbozHkdr3h00CiBBRal5agy4whekp6uJtzRqyLF2McNQpTN7tCnre2vLwI08QJGIcODXdTxAAkPXxh4trfTMPTu1CbtKQ8OFaC5QscG2vx1TuxzC+IqNuDniNHcH72WZ+oFNwHD9G+dSsJCxeGuyligJLK5TxTFAX7p9XYPijHODyRhJuHoDb0/aVMzpeAzYPtwwqip6Sjz46s/UasS5agsViImz073E3pGAqdnEys7DQpwkTC5TxSfEGsbx6ifWcjsTOyibs8N6K+mZ8Pre8eQaVTY+5Du0v2RNDppO2tpVhuuw21wXD6A3pRwGajbflyEu+5B5Vu4C0VJPoGCZfzJGDz0vzSfrx1ThIWDCFqTEq4m9TnuA9bce1qxHJzUcStn9b2zjsE29ux3Br+Tbjali5F8fmIv/mmcDdFDGASLueBt8ZB84v7UIKQct/oiLvdcz4o/iCty0rR58cRNS6ygldRFKyLFhE7cwa6jIzwtiUYpGXxYuJmzUKXElm/R9G/SId+L2vf3UjjP3ahjtWT+uBYCZYu2NdW429xd3TiR9hGVu2bt+A5XIKlD3SeOz//HF9FJZbbw98WMbBJ5dJLlKCC/aNKbKsrMY1JJuHGQlQ66bg/FX+LG9tHVcRclIkuNTrczTlj1sWL0Q8eTNSUKeFuCtaXF2EYNgzTuHHhbooY4KRy6QVBb4CWJQewra4kblYuCbcOkWDpQufuktE64mbkhLs5Z8xXX4999Wosty0Ie8XlrarCsXYtCQtvC3tbhJDKJcT8bR6aX9yPv6GdxNuHYRqZFO4m9Wnu/c24D7SQeMewiBySbX31VdRGI+Zr54e7KViXvII6Lo64OXPC3RQhJFxCyVNpo/ml/ajUapLvH4M+48y2th1ogt4ArcvLMA5NwDg8MnaX/KKg10vra68f28Y4vLfzgi4XrW++Sfz116M2mcLaFiFAwiVknDsasL55CH1mLIm3D/vKeliKorC3xkZxvY2qlnaqWtqpbGmnssUFQE6CieyEKHISoshOiGJoWiyjMs39+vaGfU0lAaeP5LmDIvJ12j/4ICTbGIeC7d13CdpsWBbcGu6mCAFIuJwzJahg+7Ac+yfVRI1PwXJ94Un7jjg9fpbtrOWljRUU19kASIszkp1gIi8pmosKkwGosnYEzsayZo7aPIzIiOOWSdkMSopmfI6FKEP/+qvyHXViX1dD3MwctImR+U3b+vIioqdPwzAovFsvK4pCy6LFxFx8MfqcyOu3Ev1T//rEOs+CHj8trxzEfaAF89X5xFyU2fkN/EiTkxfWl/PmtmqcXj8zh6Xyg9lDmZKfgPE0nftuX4Bqq4udVVbe2FbNWztqGJcdzwUFSeQnRUfkt/wvUhQF69ulaBOMxF6SFe7mnBXX3n24du0i66m/hbspuHbswFNcTMpj/xPupgjRScLlLAW9ARqf3YO/yUXiXSMwDe3Yu0NRFF7dUsUTy/cRa9By5/RcFkzOIcsS1eNzG3UaClJiKEiJ4YrhqWwqa2F9WTNbyq2kmQ1MH5zE5LyEiK1m2nc04D3SRtI9IyNmd8kvsy5ejDYjnZhLLw13U7AuWowuN4foCy4Id1OE6BSZn05hpigdS8L7G9pP6rh3eQP86O29vLm9mtum5PDENcNPqlKCSpBNdZs4ZD1Elb2Kakc1NfYaADJjM8mKyWJS6iSGJw4nMzYTtUqN2aRn1og0Lh+WyqGjdj4vbeLtHTUs31XL2CwzFxYmR1Q1E2zv2F3SNCYZY6El3M05Kx3bGK8g6cEHw76Nsa+hAdsHH5D6/74r2xiLPkXC5Sw4N9fTvqOBhFuGdAZLWaODby/aTnmzk/+7eQzXjz9xu8fqtvJ2ydu8dvA1qh3VRGmjOsPkwswLAahx1NDkaqLcVs7G+o0Y1AamZkxlYupEYvQxqNUqhqbHERtrx2gpIZmLWF/WzNaKwxFVzbR9WIHiCxI/J3J2l/yytjffBCD+xhvC3BJoff11VDod5utkG2PRt/TtT6I+yFttp3V5KdFT0zvXwCprdHDt3z8nOcbA2w9cwNC0jr1Z3H43f9z6R946/BYKClflXcVvLv4No5NGd1lpKIpCpb2SDbUb+KD8Az4s/5BJaZO4Ov9qDFoDR51H+de+Z3hx9jQuHzb8K9VMX+6b8VbbcW6qwzxnEJq48K4cfLb67DbGcbIfkOhbJFzOQLDdR/OiYnTp0cRf0zFCqN3r5/6Xt5Mc2xEsccaO1XwrbBU89sljVNoquX/s/VxfeD0JxtN/GKlUKnLjcsmNy+WaQdew/eh21lavpdpezU1FN6FT61BQMGgMndXM0PQ42lxetpVb2VzRwj8/LSMtzsDk/ATG9ZGRZkpQwbq0BF1aNDHTwru447lwfPopvtraPrGOmH31avyNjX1iKLQQX6ZSFEUJdyMiRfPiYtyHW0l9aBzaBCOKovCd13bx3t56lj14AUWpHYtSrq5YzY8//zGJpkT+79L/o8hSdOIkfi8cXAl1u6C1AqzlkDEOBl0KAT+Yszr+rDkRCHaPnR0NO2j3t5Malcqepj1cX3g9QSVIk6uJVk8r41PHAxAMKjQ6PFQ0O6lvc6NSQUa8iWxLFMmxhrBVM44NtbQuKyX522Mw5ETut+zKu+8h4HSQ/+qr4W4K5bffjgoVuS+/FO6mCPEV4f9KGyH8LW5ce5qIn1+ANsEIwJLNVby1o4Y/3zK2M1hWVazisU8e44rcK/j59J8Toz82S99WC1v+BdtfAGcjxGVBQj7kXwoZY6G1siNo2pshJhXG3AYJg8AQTawhlumZ09ndsJttR7dR46hhRekKym3lxOhjiNPHURBfQJwhDrVaRWqckdQ4I+1eP0canFRYnVS3uChrdDA+18Kk89w3E7B7afugnOjJaREdLJ6yIzjXryfjt78Jd1NwHzyIa+s2Mv/8p3A3RYhTknDpIefmOlQGTWc/S0mDg58u38ftU3OYPy4TgPK2cn78+Y+ZlTuLP1zyhxNVQvE78Pa3QVFg7AKYeA+kDD31hdpqoGI9tJRA/W582ZNoNMZwoOUAlfZKSlpLCBKk1dvK9IzpTM+cjlZ96r/GKL2WEVlmhmXE0ejwYHP7WLqjhmXnuW+mbeURVGoVcVfm9ep1ept1yRI0CQnEXnVVuJuCddFitCkpxM6cGe6mCHFKEi49oPiCOLfUEz0hFbW+Y2jxf9cfIT5Kx4/mDAfA5Xfx2KePkWxK5ucX/LzjAzvghzU/hfV/g2HzYN7fwBTf/cXMmTD6JvB7UcrX8cGB19kQdBBvsjAhdSKJxkTqHHVMzZjKIeshDlkPMTRhKCpUXwkJj99Dm7eNOH0cqXFG7piWx7yxGSfNm0k3G5k+OLHXqhlPWSvtOxqw3FCIJjqydpf8ooDDSdvSpVgWLgz/NsZtbbS98w6J935DtjEWfZaESw+0720i6PQTPTUdALvbx9LtNXzjokGd81j+sOUPVNurWXT1IqJ1xxYxXP0T2PgMXPkrmPptOJMKQatHNXgG10QnM7HyMyxZF2BIH0NxczHbj26nwFxAjDaGzfWbOeo8yrSMaRi1xs7Dg0qQsrYyNtZtxB/0c0n2JRRZik6aN3PwqJ31pU2d1cz4bAuXDEkiyxIVkmpG8Qexvl2KPjeOqAmp53y+cLK9s7zPbGPcunQpit+P5SbZxlj0XRIuPeDcUIuhIB5dcscs+7d31OD2B1kwuWMdp2ZXM2+VvMXD4x6m0FLYcdD+5bDhKbjy1zDt22d3YZUK0keTZown6GgARyPeoJc4QxxGrZFccy6xhljWVq/lvbL3mJ45ndTojg9xtUpNgaWAoBLE5rGxqnwVqypW8cDYBzoeV6sYlh7HsGMjzY5XM5vLWxiUHM2MISnkJ0UTazr7b8b2z2rwN7WT8tB4VOq+NSz6THSs3bWI2Jkz0aWnh7ctwWDHUOhZs9AmJ4e1LUJ0R6b0noavoR1vpZ2YY1WLoii8tLGCWcNTSTN3VApLS5aiVWm5vvD6joPaqmHZAzD8Wph6/7k3Ij4btc4IR/eh+D20uFtABRq1huSoZK4edDWxhljWVK5hd+NugsEgiqKgU+sYkTSCaZnTmF8wn631W9nbtPcrpz9ezTwxZzj3XzqY/MRoXtlayaV/+ITvvLaLbRUtnOmgQr/VjX1NJTHTM9GnR97ukl/Uvmkz3pLSPjH82PnZZ/gqK/tEW4TojoTLafjqnQAYBpkB2FHVyqGjDm6fmgtAIBjgtYOvMTt/NmZDx3PY/Byg6uhjCUVnuUoFyUNABWN1Fm4svJF2X3vnw3/+/Z+5Iu8KVv55JXub9rKmag0uX8dS/sdDIUoXRYurhUpbZZeXOV7NXDsuk8cuH8LdF+azubyZG57ZwFV/Xsd/Pz9Cm8vXoya3vlOGyqQl7orIX6XXumgR+oLBRE2ZHO6m0LJoEYbhwzCNGxvupgjRLQmX0/C3uFEZNahMHXcQi+tsaNQqpuR3TIjcULeBOmcdtww9di/e54YdL8G4hWA0h64hGh3EZoCtjjFJIzuHOG/ZsoVnn32W0aNHk2RKYmbOTOweO+8eeZcaew0qlYpgMIjVbUWv0Z/mIickxRp44LICPv3uZbx492Tyk6L55bvFTPnV6mPVjLXLasZV3Ix7fzPx1wxC3QcmcJ4LX10d9o8+wnJb+LcO9lZW4ly7joSFC8PeFiFOJ7L/5Z8HAasbbYKx8x9zZUs7GfFGtJqOXD7QcoA4fRwjEkd0HHBgRcdclYl3d3ve/fv38/3vf59NmzZx4YUXcsMNN3DFFVeQkpLS9UFxGdBWCY4GiEvH4XCwcOFCnnvuOX75y18CkBqdymU5l7GhdgMry1cSrY3GH/SjQsXg+MFcPejqM3r9arWKi4uSubgomQabm9e3VfPKlkre3F7NkNRYFkzO5rrxWZiP9c107C5ZiqEwHtOoyN/iuXMb43nXhrspWJe8gka2MRYRQsLlNPwtbrSWE6Owqltc5CScWD6/2l5NVuwX9iSp3QGWfEgq7PKc+/btY+rUqTgcDgCWL19OVFQUFouFiy66iNjY2FMfaIgBXRR47EA6DzzwAHPmzOHyyy/niZ89QWlrKf/c9U+a3c0Eg0FUKhUBJUCyKZnLsi/jhqKOhRaDShC16syL1pQ4Iw9cVsD9lwxmY1kzSzZX8st3i/nN+weYMyqD26bkUHCgjYDdS/I9oyL+23XnNsbXXdd3tjG+6UbURuPpDxAizCRcTsPf4sY04sT+7pUt7YzMPDHLvNpeTVbMF8LFWt4x874b3/nOdzqDJTo6mssuu4yCggI2bNiA3+9n3rx5Xz1IUTr6XrQm8Lt45ZVX2L59O1u2bAE61iRrcjVR1lbGXSPuIjMmE5PWhN1jZ1P9Jqod1cToYjBpTWcVLF+kVquYXpDE9IKkzmpmyeZKNm+v5SWiqSyKIzZaSwhvCoaF/f33CbS0YLltQbibQtuKFQTtdiwLwt8WIXpC+ly6oQQVAlbPSZVLZUv7SRt/VTuqyYzNPHGQtQLic7s8ZzAY5KOPPgIgIyODG2+8kSlTplBdXU1JSQnLli0jGAyeojGBjv/VGqmqKOeRRx7h5ZdfxnjsW6xOrWNC6gTyzfm8W/ZuZx9LgimBy3IuI9mUzL6Wfexq3EUgGDiH38rJjlczn373Uv6VnoJNr+a+w7VM+dVqvvt6930zfV3LokVET5/eJ7Yxti5aTMwll6DPisydO8XAI5VLd5Rj/+cLt3eCioL6pD8HUX8xo5UgdFMZKIqCoiiMHj2aGTNmEBcXx4EDBwgEOj7wPR7PVz+MKzeCu63j3EYz2/YcoKGhgQkTJnQ+JRAIsHbtWtRPq3mr+C2e3f0sl2Zfyqy8WZi0JkYnjybBlsDmo5upd9ZzYeaFJ9Y9CwHP3iai6trJ/voIPk2P6qxm3thWzdC0WBZM7lgmx3wO82bOJ9eePbh37Sbr6b+Huym4tm/Hc+AAKd/5TribIkSPSbh0Q6VRoYk34re6O3+WkxBFlfXEMOCs2CxqHDUnDrLkdax23AWNRsOjjz6KyWTC6XRy6NChkx4vKipCozm2e6WjCUpWgSUXYtPAXg9H9zHzomns2bPnpOO+/vWvM3ToUL7//e8zsnAkQxOHsvjAYqamTyXOEIdKpSLbnE20Ppp1Net4v/x9ZufNJlp/7n0JQbef1hVlmEYmYhqSgAk6+2bWlTSxZFMlP1+xn1+/V8w1ozNYMDmH8TnxfbpPxrpoMbqMDGIuuSTcTcG6aDH63FyiL5ge7qYI0WMSLqehTTASaDkRLtmWKKpavhAuMVkcth4+cYAlDw5/0O05/+d//ocnn3ySlpaWk36u0+lYeHxynP0obHkeEgsheyqo1RCfB/Z6Ys3xjEwfedKx0dHRJCYmMnJkx8+LEop4YtoTqFXqkzrwE0wJXJl3JZ9UfsKuxl1MTp/c5cKXPWX7sALFE8A8d/BJP1erVVxSlMwlXxhpFgnVjN9qxbZyJUkPPYhKozn9Ab3I19CA7cMPSf3e/5NtjEVEkXfraWgTjPi/EC45iVFUtnRTuaSPhubSjo79LmRkZPDYY48xZMgQVKqOBSeHDBnCE088weDBxz6gjWZIHQGDL+sIFgBXC8SkgNcBjQfgVH0zX3A8UL7cgW/UGpmeOZ39Lft5p/SdHvwWuuatdeDYUEvc5blozV0v6Hi8b2bt/7uMF+6eTF5iND9fsb9P9s20vvEGAPE33hjmlkDra6+j0usxz58f7qYIcUakcjkNjcWIf09T55+zE6KosboIBBU0ahVFliKsHisHWw4yJGFIx+rH730Ptv4brvh5l+cdPHgwP/3pT/H5Oma86764um0wCDojDLkKji9GWf457H4VMidCVCLU7gJbPeRdABodn3zyyRm9rjhDHMMThvN26dtcnHkxr73wGs888wzl5eUAjBgxgieeeILZs2d3eQ4lqNC28gjalChiLujZ7pJ9vZpRAgGsS5YQN2cOWoslLG3obIvXi/XVV2QbYxGRpHI5DW2CEcXlJ+jyAzAkNRZ/UGF7pRWACzIvINmUzGsHX+s4QB8FY2+H7S+B13na8+t0upODBU5UKseDxePo6MeJz+mYP5M9GQbP6Khk3Lazfm0T0yYSpY1iY/1GsrKy+M1vfsPWrVvZunUrM2bM4Nprr2Xfvn1dHu+ttuOtcWC5rgCV5uznzfSlasbxySf4a+v6xNpd9tWrCTQ2YblNtjEWkUfC5TR0qR3Djj3lbQBMzLWQnxTNyxs7Ou11ah03Ft3IO2Xv4PB2zF1h8r0dt6/2LeuYn3KuDDEQndKxF0xqx/4xBH0Q8HWMIDvG5XJx6NAhtm7dyq5duzh69Gi3p9Vr9ExKm8SW+i1cefWVXH311RQVFVFUVMSTTz5JTEwMGzduPOWxQbcf90ErUWOSMeSd24yW49XMP+6YwIYfzOChGYVsLGvmhmfWM/sv63hhfXmP1zQ7V9ZFizCNGYNp5Ijzcr3utCxaTNSkSRiHFJ3+yUL0MRIup6FNjUKXGYNzUz3Q8UG4cEoOK/fU0eTwAHBD4Q14A16WlS7rOCghH+b/s2M3yfJ13V8g4D99IxoOQHMJ5F18Yr2yhgPgOArHRnu1tbWxfv16ysrKaGpqoq6ujh07drB///5uTz02eSzt/nZqHbUnmhQI8Morr+B0Opk2bdopj2vf23GrMO7y0C5MebpqZntl71UznrIynOs3YLk9/FWL+8ABXNu29YkKSoizIeFyGiqVipip6bgPtnR27N80IRuNWsWrW6qAjvW85gyaw7/3/JuG9oaOAzPHdkym3PEyHOkmYDTajltbh1d3/PnLH5yNB6D8M0gZ1jESrd0K+5bCvrc6bo/powgGgxw+fJioqK9u8lVZWUlDQ0OXl08ydaz/1eJuYc+ePcTExGAwGPjWt77F0qVLGT58+FeO8TW24y23YRxiQRPT88Uwz0RX1cz1T3dUMy9uCH01Y128BE1iIrFXXhnS855VWxYtRpuaSuzMGeFuihBnRcKlB0xjklEZtDg31QFgjtIxb0wGizdV4gt03JZ6fPLjTM2Yyvqa9XgD3o4Dx94GudNh2386Ovj93lNfYPVPYO3vOv7/4+EQ8HeEStmnJ/pZ6vfA5n9C1Va48DHImQpAfX09e/fuxel0kpCQ8JU+HKvV2uVrM2gNxOhiaHG3MGTIEHbu3MnGjRu5//77ueuuu75S+SjBji2fNQlG9FldrIEWYqeqZn72TmirmePbGMffdCNqfe8EZo/bcmwbY8utt8g2xiJiyWixHlDrNURPTMW5tZ64y3NR6dR8/YJ83txewx8+OMjjVw8jRh/DN0Z9gxWlK/iw/EOuGXxNxzL5E77WMVdlx0tQtxvyLoRBl0H0ifXKUKk7qhIAewNUbQIUcLfCoEsgeWjHY/HZMOhSyJoE6hPzL9xuN3a7nZKSEjIzM0lJScHj8dDe3v7VwQKnYNKacPld6PV6CgoKAJg4cSJbtmzhL3/5C//85z9PXOuQlYDNi3laxnnfXfJ0I81um5LDtWPPbqRZ2/JlBN1uLLf0gW2M31qKEggQL9sYiwgm4dJD0VPScHxWQ/vuRqInpDIsPY7HZw/ll+8WMz7XwpUj0sg35zMmeQz7mvex9PBS5gya07GHSt4FkFgAJauh9GM4+F5HFZOQ1zGXxdkEdbvgw5+ArRpMFhi7EPIvAdMXOstjUjr++5LExI6g8vl8lJeX43Q6yczMJD4+Ho1Gg8HQ9fwTRVFo9bQSb4g/5WMej6fzz4F2H649zRgLLSettxYOX1yheV1JE4s3VfCzd/bzq5XFzB2dwYIpOYzL7tkqAMfX7uo72xgvJu7KK9EmRf6WBWLgknDpIV1yFMZhCbS9dwRjoQVNnJ57Lsxna7mV7762i6EPx5KbGM3F2Rej1+rZ27iXZ3Y+w8JhC0mKSoLY1I4NxEbeAO9+B0rXwKGVYM7qWEI/LhOSC6FgZsctMJ3xtJMkjzObzQwbNoyysjIAbDYbfr+fnJwcLBZLZ/icit1rxxf08eIfXoQbIDs7G7vdziuvvMInn3zC+++/3/nc9u0NqLSqPrVPy5ermde2VrFkcxWvn0E1075pE97SUtKeeOI8tvzUnOvW4auqIuN3vw13U4Q4Jyqlr0yLjgABh5ejf92BNsFI8r2jUWlU2Nw+5v3tM0x6LW/dPx2TvuN2VZ2jjjWVazhkPcRVeVcxIXUCBu0XKoiAHw6u7BgFtukfHRuAjb65ozIZdXNHRQMn3f7qjs/nY9OmTVRWdmxjbDKZSE1NZfDgwaSmpnZ53L6mfbyw/wWq/1XN+k/XU1dXh9lsZvTo0Xz/+9/niiuuAMBb58D+STUx09LPeehxbwsGlc5qZnVxAzqNqttqpvqhh/CWl5O/fHnY1zur/OY3CTQ1k/fmG2FvixDnQsLlDHnK22h8djcxF2URP7tj35biOhvXP72eQcnRPL1wPLmJHcOD3X43qytWs65mHXqNngmpE5iWPo3U6C992H/2Z9j0T5j2AOxc1LECsiEObvovpAw9o/bV19fT3NxMdHQ0WVlZaLXdF6f/3vNv7D47D497uMsPM8UfpPW9I2iidcRelh1RH3pfrGZqWl2d1cz8cZnEGXX4amspufwK0p74MZZbbw1rW70VFZReNZv0X/6S+BuuD2tbhDhXEi5nwb62mraVR0i8Y3jnRmL7atv49qLttDi9/PGmMcwakdb5/FZ3KxvrNrK5fjMOn4PM6EyGJA5hmGUI2bG5qNf9Aaq3wMLXwefqCJfmko7O/17U7Grmd1t+x42FNzIpfVKXz2vf04hrfzPmq/K7XT+sL+uqmrlz/0r077xF4aefoI4O726TR3/zW9qWLqXg009kt0kR8SRczoKiKDS/XIyntJWUB8aiS+6YxW9z+/jua7v4cP9R7rtkEP9v1hC0X1gWxR/0s695H/ua9nHIeoh2n5NoXQxXtTYx5tAnBL+1jihdTMfcl14WVIK8uO9Fym3l/HDKDzsGHpxCwOal9f0yTEMSiRqT3OvtOh+OVzOvry/jt6/9L7uKpmD6zv/rrGbCIdjezuFLL8Ny802kfPe7YWmDEKEk4XKWgm4/DX/fScDuI+HmIkzDOyoYRVF4ft0RfvP+ATLijdw1LY9bJ2UT86UPrWAwSKW9kgMtB4je/BxFFVv5v6m3kheXx5CEIQxNGEp6dHqv3YL6uPJj3it/j6+P+DrDEoed8jmKomD/tJqAzYP56kGotf1rWpT17WXU/+AHvPCt3/F6g6azmrltSg5jezjSLGRtee016n/yUwavWoU+K/P0BwjRx0m4nIOgy0/L64dw728m9pIs4mblodJ0fCDtrWnj358fYcXuOpJi9Py/WUOYlJ9AZrzpqx9aR9bR3nSIPVkjKW4ppsRagjfoJd4QzxDLEIYlDmOwefDJAwLOwa7GXSwuXsxl2ZdxVf5VXT7PU2nD8XktsRdnos88PxMmz6cjN9+CJjaWnH89z1Gbm9e76ZvpTYqicGT+degyMsh+5ulevZYQ54uEyzlSFAXH2hraPjiCPtdM4m1D0cSeuMXU4vTy+tYqPi9tYkxWPAaNmjE58UzItRClP/XtL3/QT1lbGQeaD3Cg5QBN7ia0Ki2D4gcxNGEowyzDSIzqenhxV/xBP6vKV/Fx9ceMTRrLLUNvQdPFaLSgL0Dbu0fQJBiJu7j/7dvu2r2b8ptvIevpp4mdcVnnzwNBhXWHG1myuZLVxQ3oNWrmjklnweTeq2bat26l4vY7yH7+eWIuvCDk5xciHCRcQsRT1kbzkmIA4ucMwjQyCdUXbiMFgwq7qluptrpYe6iBoKJiQq6F6QWJ5CZ8dU2wL2psb+RAS0fQlLWVYTaYyYnNwaAxkB2Xzbjkceg0XX+79gQ8fFz5MU2uJkrbSrk853KmZ0zv9pqOjXV4K22Yr87vtfXDwqn2+z+gfetWBn/4QZe7TZ6qmlk4JYdrQ1zN1Dz2GO79xQxa+a7sNin6DQmXEArYvVjfOIT7oBV1jI7oSWlET0lDG3/yyB+7y8fnpU1sKG3B2u4lM97E9IJEJuZaMHVRzRzn8XuotFfycdXHvH7wderb64nWRTMlbQoFlgKyYrLIiMnA7rVTba+mwl7Bmoo1BJQAj014jMlpk8mOy+72Gu7SVpyb64memo4xv2/PaTkb/pYWSi65lORHHyHxnntO+/xTVTPzx2Vw+9RcRmSc2+/Hd7SBkpkzSf3e90i4845zOpcQfYmESy/wHXXi2FhH+/YGFG8A47BEYqamYyiIP2k9rmBQobjexvqSZvbVtqFRq5mQa+GCgkRyTlPNQMctuYPWg6ytXsvGuo1U2CpOrMoMRGmjyIzNZEraFBYMWUCO+fTL4/tb3dg+rkKfE0vMhLTTPj8SNT37HE1//zsFn3x8xrtNHrW5eXVLFYs3VVJvczM+J547puUye2Q6Rl3PJrx+UePfnqL5P/+h8NNP0MT2v34tMXBJuPSioCdA+84GnBvq8NU7UUdrMRYlYBqVhKHAjPoLVUpru5eNZc1nVc18kSfgod5ZT5w+jnjDmfURBL0BHOtrUWlVxEzNOOm2Xn+h+P2UzJpF9NRpZPzqybM+jz8QZHVxAy9vrOCzkibyk6J55vbxDE3r+XbEitfL4Zkzib38ctJ/8pOzbosQfZGEy3mgKAreKjvu4hbcB1rw1TnR58YSNSkNdbQefVoUmngDKpXqpGpmf20b2QnRDEuPpTAlhsEpMb02PDbQ5qHljUP4GttJ+eZotAmmXrlOuNlXr6b6wYfIe/MNTCNCs9vkwXo7j766kyNNDn45fxQ3TujZAIi2d9+l9jvfZdA7yzEUFoakLUL0FRIuYRBo8+A62ELA6UelUvDVt6M2adGlR6PPiEGbFo1aq8bu8rG1wsqza8vYUNbM8PQ4FkzJYf7YDGJD2KHsLrHS8spBVGoVCbcPw5DT82/fkabi619HcbnJe2VJSM/r9gX48dt7eX1bNbdOyuan80ac9jZZ+W0LUWm15L74QkjbIkRfIOESZkogiN/qxlthx1fnJGD3oorWYMgxdwROsglVvJG1hxpZvLmSjw40YNCqmTcmgwWTcxidZT7rakYJKtg/qcK2qgJDQTwJtwzplyPDjvOUllI25xoyfv97zHOv6ZVrvLalih8v28vQtFhe+ea0zoVMv8xdXMyR664n8y9/Ie7KWb3SFiHCScKlj/E7fPib23Hva8axsQ68QbTJJoxDEjAOtWBNMPD6jhpe3dIxPHZ4etyxZeV7Xs0oQQX3gRbs66rxltuInZFD3Myc87751/lW//NfYPvwQwo/WoOqF3eb3F3dys3/3MCcURn84abRpwz/uh//GMe6zyhYvQrVaRYXFSISSbj0YUFPAE+JFfcBK66DLQRtXlR6DYbCeAxDLOzQKry0t5Y1xUcx6jSnrWYCdi/OrfU4N9UTaPWgy47FPCsXY+GZjZiKRAGHg5KLLyHha3eR/PDDp3yOoig0lJfRVFlOW0M9bQ1H0eh0mJNTMaemkV5QhDmlZyPo3tlVw/++vZefXDOcGyacPPQ70NZG6TVzSfz610i8++5zfm1C9EUSLhFCURR8dU7cB1pwH7TirbSBArq0aPwWAwdcHj4+2kaxy0NMcjTXD0/lwuQ4dA4fgRY3/mYXnnIbqFREjU0mZmo6+qyBM/S1ZdEijv7q1xR8tAbdl/a38bndFH/+Kbs+XElDeSkA0fEW4lJSCfr9tB2tx+10ADB44lSm33QbSTl5qE8z4fG9vXXsqW7jjmm5pJtPDJBwbtmCc91nJN73TTRhXolZiN4i4RKhAk4fnkNW3KWt+JvdBKxuAm0e+NLfpkcDGouRmLRoDLlmoiekoI4Kz8q/4aIoCmVzrsFQWEjWX/580mNV+/fw7l9/j7PVyqBxExkz62qyh41C96Ul710OO6VbN1G89iNSBxVgMpsZcfHlRJm7nkTp9Qf5xycluPwBHplZhFGnQQkGafjzn9FnZ2O56abeeLlC9AkSLv2I4g/ib/UQsLqxBoK8Xd7ESzuqqW1zMyIjjgWTz6xvpr9wbthA5dfvJufFF4iePBno2Kt+yztv8dmSF8kaNoIr73+kx7e82hqOsmv1e7jsbYy9Yg6pgwq6fG6j3c2T7xZz44QsLixMxrV/Py3/+hfJDz2EPi8vFC9PiD5JwqWfCwQV1h5qZNGmSj460LO+mf6m6sEH8VVUkr98WefrXbv4v2xZ9gaT59/EBTffjrqL9cW64nW72bVqJQ1lJYyfM5/0gqIun/v8ujKaHB6+f9VQmp9/nqDDQfKjjw6I370YuPrfFGxxEo1axWVDU3j+rol8/oMZ3HfxYNYeauTav3/ONX/7jJc3VmB3+8LdzF7jq63F8dHHWBbe1vlhXrJ1E1uWvcHFC7/ORQvuOuNgAdAbjUy85jrSCorYteo9HK3WLp97YUESta1ujhyuwnPgANEXXCjBIvo9CZcBJN1s4pHLC1n3/Rn8+2sTSTebeGLZXqb8ag0/eHM3u6tb6W+FrPW111CbTJjnzgXA1tjA+3//PwomTWXi3HPbp16lUjH68tkYo6PYvnIZAb//lM8rSo0lJdZA/ZpPUUdFYxo75pyuK0QkkHAZgDRqFTOGpn6lmpn3VEc1s2hT/6hmFK+X1tffwDx/Pupjo7K2rliKRqfjyvtDc1tKZzAw7sq52BsbqC85xK9//WsmTZpEbGwsKSkpzJ8/n8OHD3FhnpnUI/vRTpyEuhfn2AjRV0i4DHCnqmZ+/Hb/qGbsq1cTaG7GcustAHjdLvZ9uoZRM2ZhjI4J2XXMqWkkZudQsWcnn376KQ888AAbN25k1apV+P1+Zs2aRU7VfvQBHy1DpGoRA4NMDRbAiWpmxtBU6tpcvLalmle3VPLKlipGZHSsAjBvTGSNNGvfsRN9Xl7nopAHPvsUn9vN6Jldb+0MUFVVxW9/+1vWr1+PwWDg6quv5jvf+Q5RUVFdHpM7ehzb313Gay+9SFxySufP//Of/5CSksLud5YSn16IVmtiSGhenhB9moSL+Irj1cyDMwr49FADizdV8eO39/Lku8XMG5PBbVNyGJ0VH+5mnpavuhpd7ok9bKoP7COtoPCkD/8vKy4u5qKLLqK5ubnzZxs3buTNN9/ks88+Iybm1BVPan4BKrWGltqak87f1tYGQKzTyeGcEaQ4vOf6soSICHJbTHSp+76ZdSzaVIHDc+pO7L7AV12FPuvE0ittR+uxpGV0e8x99913UrAct2vXLn7xi190eZxao8EUF0e7rbXzZ4qi8NhjjzG1qIiRw4bjyc6jWcJFDBASLqJHvtw3kxZn5Mdv72Xyk6t5/K2Ovpm+RFEUvNU16LJP7K3S1ngUc2rXEyWbm5tZt25dl4+/9dZb3V4zKs5Me1tr558ffPBBdu/cyV8vm0H0BReQFGOk2eHp+YsQIoLJbTFxRr7cN/Pqlipe3VLFks1VjMw8vgpAJjGGML+1AgEUjwe16UQ/ic/tQmcwdnmIw+Ho9pR2u73bx7V6PX5vR2Xy0EMPsXz5ct79xS9IOniIqEkT0e9vwuMPnsGLECJySeUizlq62cSjlxfxWR+sZlRaLdq0VHw1NZ0/i0tOpa2xoctjsrKySP3SopZfNGnSpG6v2W5rwxQbx4MPPshbb73Fmg8/JLm8nKiJE1AbjbQ4vST04/1yhPgiqVzEOeur1Yw+MwtfdXXnn80pabQ11Hf5fI1Gw09/+lPuv//+rzym0+l44oknur1eu62Vf7y5nHdXr2HZsmVoq6qpr68n6frrMbhcNDm8DErqesSZEP2JVC4ipE5XzeypbjtvbdFlZ+P9QrgkZmZRX3oYv6/rCaLf+ta3+POf/0x8fHznz3Jzc1mxYkW3lYu9uQm/28PiN9+ira2NSy+9lMFXzmL8P/9JzpgxvPLKKzQ7PCTGGELy2oTo6yRcRK84MdJsEp99fwbfvHgQnxxsZO5Tn523kWaGQfl4Dh8m4HACMPySmbjtNg5v+rzb4x555BFqa2vZsmULu3fvpqysjFmzut+KuGLPTvRR0QT8PhRFwVNVRfVjj+HctQtFUbhpwR14/EESo+W2mBgYJFxEr8uIP1HN/Ouu81fNxF1zDYrXi+2d5QAkZmaTM3I0Oz9497THmkwmJk6cyKhRo067KZjf66W6eC/ZI0aj1nTc+nOuX4/aHI9pxAgAKlo6Ai45TioXMTBIuIjzRqNWMXPY+atmdGlpxM64DOviJZ1L2Iy/ej61h4rZ+/GqkF1n/7qPUIIBckaOBiDodNK+bTvR06ehOrbi8vqSZjLijWR8YUdKIfozCRcRFl1VM1OeXM3jb+0JWTVjWbAAz+HDuLZuBWDwhMmMmjGLNf96hobysnM+f9X+vVTt3c2IS68gKq5jV0rn5i2gKERPmQJAi9PL3to2LixMkqX2xYAhm4WJPqO21cVrWztGmtW1uRmZGcdtk3OZNzbjrEeaKcEgR669FrQ68pYsRm004vN6WPLj/4fH6eS67/2YpJy8szr30bIStr/3DhlFQxlzxWwA/M3NNPzpz5hGjuxcMHPFrlo+PdTIL+aPxKg7871jhIhEEi6iz/EHgnx6qJHFmyr5+GADJp2GeWMzuW1yDqOyut6zvivuAwcov+VWzPPmkn5sCRdbYwNLf/dzWuvruOLeBxh+8Yweny8YDHJ48wZKNn1OyqBCxl01B61OT9Dno+lvTxF0u0h59FHUUVH4A0F+snwfY7PjuWli9ulPLkQ/IeEi+rRQVTOtb75F3f/+L+m/+hXx118HgM/jZvXzT7N/7Ufkjh7HuKuuIX/cRNTqU1cXPrebQ5s+x+2w01RTxeDxkxk8YXLnrS7r66/TvnUryQ89hD6rY9mZd3bVsLq4gcdnDyVN+lvEACLhIiJCKKqZ2h/9CNs7K0j/5S86d6ZUFIWDG9axbcVS6ksPE5uUTNawkZhT0jCnpBLw+WhrqKftaD0Ve3aCWsWlt99D5tARWNI7FsFUAgFs77+P46OPMN90EzFTpwKwt6aNZ9eWMXdMBlcM73rmvxD9kYSLiDi1rSdWAai3uRmVaWbB5JzTVjNBj4f6J56gbdly4m+9hdQf/vCkXSHrSw+z9+MPaaqqoO1oPQ5rCyq1mrikZMwpaaQXDmHUzKswf2FJ/YDNhvX11/FWVBB7xRXEXHghKpWKFoeHv645TF5yDHdOzUWtlo58MbBIuIiI5Q8E+eRgI0s297yaURSF1tde5+gvf4lhyBDSf/4zjMOHn/K5Pq8HtVqDRvvVwFKCQTxlZdhXdQxpjpszB0NOx94xPn+QlzdV4PYF+Nr0PEx6WWVJDDwSLqJfONNqxrV3HzWPPYavshLT2LFYbltA7JVXojZ0P8kx0NpK67LltC1bhq+6mqgJE0j7+c/QJScD0GT38IM3d7OzupUX757M8IwzH4AgRH8g4SL6la6qmYVTchiZefIHveL3Y//4Y1qXLMG5fgMaiwXjqJHos7LRZWejy8pE8XrxVVXjq6nGW1WNa8cOCAaJveoqLAsWYBo3trNDf/ORFh5cvJ2gAk/dNo6pgxLD8SsQok+QcBH91qmqmdum5DB3zFerGU/ZEdqWLsVTWoqvqgpvdTWKywWAxmxGl5WFLjsb08gRmK+7Dm3iieBQFIXn1pXx2/cPMiHXwlMLxpES1/W+MUIMBBIuot87k2rmOEVRCDQ3o9Lr0cTFnfI5Xn+QD/fX89/Py9laYeW+Swbx/2YNQauRhS+EkHARA0pNq4vXeljNdKWuzcWSTZUs2VJFo93D5PwEvn3pYC4dknL6g4UYICRcxID05WrGqNNQlBpLTkIUOQlRZCeYyLZE4Q0EqWppp7KlnaoWF5Ut7Rw8aseoVXP9+Cxun5rLkLTYcL8cIfocCRcx4NW0unhnVy0lDQ6qWtqpammnzubm+L8MrVpFlsVEdkIU2QlRjMwwn9N6Z0IMBBIuQpyCxx+gxurCoNOQFmdEI5MghTgjEi5CCCFCToa1CCGECDkJFyGEECEn4SKEECLkJFyEEEKEnISLEEKIkJNwEUIIEXISLkIIIUJOwkUIIUTISbgIIYQIOQkXIYQQISfhIoQQIuQkXIQQQoSchIsQQoiQk3ARQggRchIuQgghQk7CRQghRMhJuAghhAg5CRchhBAhJ+EihBAi5CRchBBChJyEixBCiJCTcBFCCBFyEi5CCCFCTsJFCCFEyEm4CCGECLn/D3JCp3+72cmFAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(5,5))\n", - "hnx.draw(HD_edge_collapse, with_edge_counts=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`collapse_nodes_and_edges` simply runs both of the above collapsing commands." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Updating the Hypergraph\n", - "You can remove nodes and edges from an existing hypergraph. (At this time the only way to add nodes and edges to a hypergraph is to start over.) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Recall the current state of our hypergraph:" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(8,5))\n", - "hnx.draw(H)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN', 'TH'],\n", - " 2: ['BM', 'FN', 'JA'],\n", - " 3: ['JV', 'JU', 'CH', 'BM'],\n", - " 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", - " 6: ['GP', 'MP'],\n", - " 7: ['MA', 'GP']}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H3 = H.remove_edges([1,5])\n", - "H3.incidence_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(8,5))\n", - "hnx.draw(H3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Building sub-hypergraphs\n", - "There are two methods that can be used to look at different kinds of sub-hypergraphs: `restrict_to_nodes` and `restrict_to_edges`. The method, `restrict_to_nodes`, builds a sub-hypergraph from a specific subset of nodes and all edges that they are included in. The method, `restict_to_edges`, builds a sub-hypergraph from a subset of edges and all nodes contained in the edges." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(15,5))\n", - "H_restrict_nodes = H.restrict_to_nodes(['JA', 'FN', 'JV', 'MA', 'BM', 'TH'])\n", - "hnx.draw(H_restrict_nodes)" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN', 'TH'],\n", - " 1: ['TH', 'JV'],\n", - " 2: ['BM', 'FN', 'JA'],\n", - " 3: ['JV', 'BM'],\n", - " 4: ['JV', 'BM'],\n", - " 5: ['TH'],\n", - " 7: ['MA']}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H_restrict_nodes.incidence_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When hypegraphs are very large and disconnected, often it is beneficial to isolate those components made of a single node and a single edge.\n", - "As in the above example we identify these **singleton** components using the `singletons` method and remove them with the `remove_singletons` method." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[7]" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H_restrict_nodes.singletons()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.subplots(figsize=(5,5))\n", - "H2 = H_restrict_nodes_remove_singletons = H_restrict_nodes.remove_singletons()\n", - "hnx.draw(H2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, sometimes we care only about top level hyperedges that are not contained in any other hyperedge, although they may intersect others. These top level hyperedges are called \"toplexes\" and can be found using the `toplexes` method, which returns a new hypergraph consisting only of the toplex hyperedges, note the toplex hypergraph we obtain need not be uniquely defined." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `toplexes` method on the above hypergraph removes 2 hyperedges. While HNX will pretty consistently remove the same two edges, there are actually 2 distinct hypergraphs made up of toplex covers of the above hypergraph." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = plt.subplots(1,3,figsize=(15,5))\n", - "hnx.draw(H2.toplexes(),ax=ax[0])\n", - "ax[0].set_title('toplex method')\n", - "hnx.draw(H2.remove_edges([3,5]),ax=ax[1])\n", - "hnx.draw(H2.remove_edges([4,5]),ax=ax[2])\n", - "fig.suptitle('Can you see the differences?',fontsize=15);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/basic/Tutorial 2 - Visualization Methods.ipynb b/tutorials/basic/Tutorial 2 - Visualization Methods.ipynb deleted file mode 100644 index 02f6b2d3..00000000 --- a/tutorials/basic/Tutorial 2 - Visualization Methods.ipynb +++ /dev/null @@ -1,565 +0,0 @@ -{ - "cells": [ - { - "cell_type": "raw", - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import networkx as nx\n", - "\n", - "from collections import defaultdict\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - "except ImportError:\n", - " print(\"Installing HyperNetX.........\")\n", - " !pip install hypernetx --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()\n", - "\n", - "### GraphViz is arguably the best graph drawing tool, but it is old and tricky to install.\n", - "### Uncommenting the line below will get you slightly better layouts, if you can get it working...\n", - "\n", - "# from networkx.drawing.nx_agraph import graphviz_layout as layout" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data\n", - "\n", - "The data in several of our notebooks are taken from the jean.dat dataset available from the Stanford GraphBase at https://www-cs-faculty.stanford.edu/~knuth/sgb.html. This data gives character scene incidence information from the novel Les Miserables by Victor Hugo." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "scenes = {\n", - " 0: ('FN', 'TH'),\n", - " 1: ('TH', 'JV'),\n", - " 2: ('BM', 'FN', 'JA'),\n", - " 3: ('JV', 'JU', 'CH', 'BM'),\n", - " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " 5: ('TH', 'GP'),\n", - " 6: ('GP', 'MP'),\n", - " 7: ('MA', 'GP')\n", - "}\n", - "\n", - "H = hnx.Hypergraph(scenes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Visualization\n", - "Use the default drawing tool to visualize `H` and its dual. This renders an Euler diagram of the hypergraph where vertices are black dots and hyper edges are convex shapes containing the vertices belonging to the edge set. It is not always possible to render a \"correct\" Euler diagram for an arbitrary hypergraph. This technique will lead to false positives, cases where a hyper edge incorrectly contains a vertex not belonging to its set." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also view the dual of this graph easily, using the `H.dual()` command." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H.dual())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Basic Visualization Parameters\n", - "We will now explore some of the basic visualization parameters that are special for hypergraph visualization\n", - "* collapsing vertices and edges\n", - "* label options" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Collapsing Vertices\n", - "By passing in a hypergraph with its nodes collapsed (using `H.collapse_nodes()`), we show nodes with identical hyper edge membership to be collapsed into a single dot. The drawing tool automatically detects if nodes and edges have been collapsed, and the dot is labeled with the list of nodes it represents. In this case, `{CN, CC, BR}` and `{CH, JU}` were collapsed. The size of the dot increases to reflect the number of members. We pass `with_node_counts=True` to show the number of nodes in the collapsed node instead of its label." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## A note on random seeds\n", - "We will use a consistent random seed across the next few diagrams to make the layout consistent. This is done by passing an arbitrary integer `{'seed': 39}` to the layout algorithm. The default layout algorithm is `nx.spring_layout` which takes a `seed` parameter which determines the inital random positioning of the vertices. Thus, `39` is passed into this function for that parameter to make the initial position (and final position) consistent each time the cell is executed." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "kwargs = {'layout_kwargs': {'seed': 39}, 'with_node_counts': True}\n", - "\n", - "hnx.drawing.draw(H.collapse_nodes(), **kwargs)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Label options\n", - "For anything but trivially small hypergraphs, the number of items in a collapsed element can be large, causing the label to be very long. You can set `with_node_counts=True` to mitigate this. This will replae node labels with counts where there is more than one element at that node.\n", - "\n", - "The collapsed nodes from above have been replaced with `x3` and `x2`, and the rest of the labels have disappeared." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Similarly, hyperedges can be collapsed and relabeled. We will use the dual to illustrate this." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H.dual().collapse_edges(), with_edge_counts=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Disabling labels\n", - "If edge or node lables are a distraction, they can be turned off completely by passing in `with_edge_labels=False` or `with_node_labels=False`" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H, with_edge_labels=False, with_node_labels=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Advanced Visualization Parameters\n", - "Properties like colors and thickness can be adjusted. This allows style parameters to be passed directly to the corresponding Matplotlib function. The mapping is as follows:\n", - "* `edges_kwargs` => `matplotlib.collections.PolyCollection`\n", - "* `nodes_kwargs` => `matplotlib.collections.PolyCollection`\n", - "* `edge_labels_kwargs` => `matplotlib.annotate`\n", - "* `node_labels_kwargs` => `matplotlib.annotate`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Colors\n", - "By default, we cycle through one of 10 unique colors for edges. This can be overridden using the `edges_kwargs` parameter. Here we adjust the linewidth, edge color, and face color." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H.collapse_nodes(),\n", - " edges_kwargs={\n", - " 'linewidths': 2,\n", - " 'edgecolors': 'brown',\n", - " 'facecolors': 'pink'\n", - " },\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Node colors\n", - "Pass an array of matplotlib colors to configure the individual colors of each node. The order of the array corresponds to the order returned by `H.__iter__()`.\n", - "\n", - "In this example, we color the collapsed nodes red that are larger than 1 node:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from hypernetx.drawing.util import get_collapsed_size\n", - "H_collapsed = H.collapse_nodes()\n", - "\n", - "colors = [\n", - " 'red' if get_collapsed_size(v) > 1 else 'black'\n", - " for v in H_collapsed\n", - "]\n", - "\n", - "hnx.drawing.draw(\n", - " H_collapsed,\n", - " edges_kwargs={\n", - " 'edgecolors': 'black'\n", - " },\n", - " nodes_kwargs={\n", - " 'facecolors': colors\n", - " }\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Edge colors\n", - "Pass an array of matplotlib colors to configure the individual colors of each edge. The order of the array corresponds to the order returned by `H.edges()`." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "cmap = plt.cm.Blues\n", - "alpha = .75\n", - "\n", - "sizes = np.array([H.size(e) for e in H.edges()])\n", - "norm = plt.Normalize(sizes.min(), sizes.max())\n", - "\n", - "hnx.drawing.draw(H,\n", - " edges_kwargs={\n", - " 'facecolors': cmap(norm(sizes))*(1, 1, 1, alpha),\n", - " 'edgecolors': 'black',\n", - " 'linewidths': 2\n", - " }\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Font\n", - "Fontsize and other attributes can be set with the `node_labels_kwargs` and `edge_labels_kwargs` parameters. Here we set the font size at 24 to make the nodes appear large for illustrative purposes." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "hnx.drawing.draw(H.collapse_nodes(),\n", - " node_labels_kwargs={\n", - " 'fontsize': 24\n", - " }\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Font attributes can be individually set by passing in a dictionary mapping nodes to values" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "scenes = {\n", - " 0: ('FN', 'TH'),\n", - " 1: ('TH', 'JV'),\n", - " 2: ('BM', 'FN', 'JA'),\n", - " 3: ('JV', 'JU', 'CH', 'BM'),\n", - " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " 5: ('TH', 'GP'),\n", - " 6: ('GP', 'MP'),\n", - " 7: ('MA', 'GP')\n", - "}\n", - "\n", - "H = hnx.Hypergraph(scenes)\n", - "\n", - "colors = defaultdict(lambda: plt.cm.tab10(len(colors)%10))\n", - "\n", - "def get_node_color(v):\n", - " return colors[v]\n", - "\n", - "def get_cell_color(e):\n", - " return get_node_color(e[1])\n", - "\n", - "hnx.draw(\n", - " H,\n", - " with_additional_edges=H.bipartite(),\n", - " edges_kwargs={'edgecolors': 'black'},\n", - " nodes_kwargs={'color': get_node_color},\n", - " additional_edges_kwargs={'edge_color': get_cell_color},\n", - " edge_labels_on_edge=False, edge_label_alpha=1\n", - ")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-01-23T23:35:33.098085Z", - "start_time": "2024-01-23T23:35:32.658661Z" - } - }, - "execution_count": 2 - }, - { - "cell_type": "code", - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "threshold = 0.1\n", - "\n", - "df = pd.read_csv('../data/newsgroups-topics.csv', index_col=0)\n", - "df.index = df.index.map(lambda s: '.'.join(s.split('.')[-2:]))\n", - "\n", - "incidence_matrix = df.copy()\n", - "\n", - "# filter out singletons\n", - "incidence_matrix = df[df.columns[(df >= threshold).sum(axis=0) > 1]]\n", - "\n", - "# filter out small weights\n", - "incidence_matrix[incidence_matrix < threshold] = None\n", - "\n", - "# construct hypergraph\n", - "H = hnx.Hypergraph.from_incidence_dataframe(incidence_matrix.T)\n", - "weights = H.edges.cell_properties.cell_weights\n", - "\n", - "# create functions for mapping hyper edges/weights to colors\n", - "norm = plt.Normalize(0, incidence_matrix.max().max())\n", - "cmap = plt.cm.Greens\n", - "\n", - "def get_cell_color(e):\n", - " return cmap(norm(weights.loc[e]))\n", - "\n", - "plt.figure(figsize=(12, 12))\n", - "hnx.draw(\n", - " H,\n", - " layout=nx.kamada_kawai_layout,\n", - " with_additional_edges=H.bipartite(),\n", - " edges_kwargs={\n", - " 'edgecolors': 'darkgray',\n", - " 'facecolors': (.65, .65, .65, .15)\n", - " },\n", - " additional_edges_kwargs={\n", - " 'edge_color': get_cell_color,\n", - " 'width': 4,\n", - " },\n", - " edge_labels_on_edge=False, edge_label_alpha=1\n", - ")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-01-23T23:40:44.372177Z", - "start_time": "2024-01-23T23:40:43.556908Z" - } - }, - "execution_count": 4 - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/basic/Tutorial 3 - LesMis Case Study.ipynb b/tutorials/basic/Tutorial 3 - LesMis Case Study.ipynb deleted file mode 100644 index 70278782..00000000 --- a/tutorials/basic/Tutorial 3 - LesMis Case Study.ipynb +++ /dev/null @@ -1,1974 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# A Hypergraph Analysis of the novel Les Miserables by Victor Hugo " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As readers, we are mesmerized by the prose and drama and are horrified by the meanness of the time. But as mathematicians, we delight in the opportunity to study the relationships among the characters and discover what the hypergraphs they generate tell us about the story. We use the data available from the [Stanford GraphBase]( https://www-cs-faculty.stanford.edu/~knuth/sgb.html)." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import itertools as itt\n", - "from collections import defaultdict\n", - "import matplotlib.pyplot as plt\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - "except ImportError:\n", - " print(\"Installing HyperNetX.........\")\n", - " !pip install hypernetx --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "lm = hnx.LesMis()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Basic Structure of the Novel\n", - "The novel is broken into five parts, which we will here reference as volumes: **Fantine**, **Cosette**, **Marius**, **St. Denis**, and **Jean Valjean**. Each volume is subdivided into books, each book into chapters, and each chapter into scenes. By shifting the level of subdivision, we are able to construct multiple hypergraphs modeling character interactions and relationships." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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title
1Fantine
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3Marius
4St. Denis
5Jean Valjean
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" - ], - "text/plain": [ - " title\n", - "1 Fantine\n", - "2 Cosette\n", - "3 Marius\n", - "4 St. Denis\n", - "5 Jean Valjean" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "volumes = lm.volumes\n", - "volumes" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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FullNameDescription
Symbol
AZAnzelmadaughter of TH and TM
BABahorel`Friends of the ABC' cutup
BBBabettooth-pulling bandit of Paris
BJBrujonnotorious criminal
BLBlachevilleParisian student from Montauban
.........
TSToussaintservant of JV at Rue Plumet
VIMadame Victurniensnoop in M-- sur M--
XAChild 1son of TH sold to MN
XBChild 2son of TH sold to MN
ZEZephinelover of FA
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80 rows × 2 columns

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" - ], - "text/plain": [ - " FullName Description\n", - "Symbol \n", - "AZ Anzelma daughter of TH and TM\n", - "BA Bahorel `Friends of the ABC' cutup\n", - "BB Babet tooth-pulling bandit of Paris\n", - "BJ Brujon notorious criminal\n", - "BL Blacheville Parisian student from Montauban\n", - "... ... ...\n", - "TS Toussaint servant of JV at Rue Plumet\n", - "VI Madame Victurnien snoop in M-- sur M--\n", - "XA Child 1 son of TH sold to MN\n", - "XB Child 2 son of TH sold to MN\n", - "ZE Zephine lover of FA\n", - "\n", - "[80 rows x 2 columns]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### List of Characters\n", - "names = lm.df_names.set_index('Symbol')\n", - "names" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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SymbolFullNameDescription
0AZAnzelmadaughter of TH and TM
1BABahorel`Friends of the ABC' cutup
2BBBabettooth-pulling bandit of Paris
3BJBrujonnotorious criminal
4BLBlachevilleParisian student from Montauban
............
75TSToussaintservant of JV at Rue Plumet
76VIMadame Victurniensnoop in M-- sur M--
77XAChild 1son of TH sold to MN
78XBChild 2son of TH sold to MN
79ZEZephinelover of FA
\n", - "

80 rows × 3 columns

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" - ], - "text/plain": [ - " Symbol FullName Description\n", - "0 AZ Anzelma daughter of TH and TM\n", - "1 BA Bahorel `Friends of the ABC' cutup\n", - "2 BB Babet tooth-pulling bandit of Paris\n", - "3 BJ Brujon notorious criminal\n", - "4 BL Blacheville Parisian student from Montauban\n", - ".. ... ... ...\n", - "75 TS Toussaint servant of JV at Rue Plumet\n", - "76 VI Madame Victurnien snoop in M-- sur M--\n", - "77 XA Child 1 son of TH sold to MN\n", - "78 XB Child 2 son of TH sold to MN\n", - "79 ZE Zephine lover of FA\n", - "\n", - "[80 rows x 3 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### Who are the characters?\n", - "lm.df_names" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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VolumeBookChapterSceneStepCharacters
011100MY
111100NP
211111MY
311111MB
411202MY
.....................
8575941400MA
8585941400CO
8595950401JV
8605950401CO
8615950401MA
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862 rows × 6 columns

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" - ], - "text/plain": [ - " Volume Book Chapter Scene Step Characters\n", - "0 1 1 1 0 0 MY\n", - "1 1 1 1 0 0 NP\n", - "2 1 1 1 1 1 MY\n", - "3 1 1 1 1 1 MB\n", - "4 1 1 2 0 2 MY\n", - ".. ... ... ... ... ... ...\n", - "857 5 9 4 1 400 MA\n", - "858 5 9 4 1 400 CO\n", - "859 5 9 5 0 401 JV\n", - "860 5 9 5 0 401 CO\n", - "861 5 9 5 0 401 MA\n", - "\n", - "[862 rows x 6 columns]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### List of Characters as they appear in each scene\n", - "scenes = lm.df_scenes;scenes" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "h = hnx.Hypergraph(scenes,\n", - " edge_col='Volume',\n", - " node_col = 'Characters',\n", - " node_properties = lm.df_names)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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uidweightproperties
levelid
0101{}
211{}
321{}
431{}
541{}
...............
1TS801{'FullName': 'Toussaint', 'Description': ' ser...
VI811{'FullName': 'Madame Victurnien', 'Description...
XA821{'FullName': 'Child 1', 'Description': ' son o...
XB831{'FullName': 'Child 2', 'Description': ' son o...
ZE841{'FullName': 'Zephine', 'Description': ' lover...
\n", - "

85 rows × 3 columns

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" - ], - "text/plain": [ - " uid weight properties\n", - "level id \n", - "0 1 0 1 {}\n", - " 2 1 1 {}\n", - " 3 2 1 {}\n", - " 4 3 1 {}\n", - " 5 4 1 {}\n", - "... ... ... ...\n", - "1 TS 80 1 {'FullName': 'Toussaint', 'Description': ' ser...\n", - " VI 81 1 {'FullName': 'Madame Victurnien', 'Description...\n", - " XA 82 1 {'FullName': 'Child 1', 'Description': ' son o...\n", - " XB 83 1 {'FullName': 'Child 2', 'Description': ' son o...\n", - " ZE 84 1 {'FullName': 'Zephine', 'Description': ' lover...\n", - "\n", - "[85 rows x 3 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "h.properties" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraph with each Volume as an Edge\n", - "\n", - "We first generate a hypergraph studying the relationship between volumes. The edges are the volumes and the characters who appear in each volume are the nodes. " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "### Construct the edges as a dictionary named by the name of the Volume\n", - "volume_edges = {v : set(scenes.loc[scenes.Volume == v]['Characters']) for v in range(1, 6)}\n", - "\n", - "### Construct a hypergraph made up of volume_edges\n", - "HV = hnx.Hypergraph(volume_edges,name='Volumes')\n", - "for node in HV.nodes:\n", - " HV.nodes[node].name = names.loc[node]['FullName']\n", - " HV.nodes[node].description = names.loc[node]['Description']" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "AttrList(['CL',\n", - " 'DA',\n", - " 'LI',\n", - " 'JV',\n", - " 'CV',\n", - " 'FF',\n", - " 'ZE',\n", - " 'VI',\n", - " 'JU',\n", - " 'SC',\n", - " 'MT',\n", - " 'BR',\n", - " 'JA',\n", - " 'MY',\n", - " 'SN',\n", - " 'MR',\n", - " 'IS',\n", - " 'MC',\n", - " 'FN',\n", - " 'PO',\n", - " 'BM',\n", - " 'SS',\n", - " 'FA',\n", - " 'CN',\n", - " 'NP',\n", - " 'MB',\n", - " 'PG',\n", - " 'GG',\n", - " 'TH',\n", - " 'SP',\n", - " 'FV',\n", - " 'FT',\n", - " 'CC',\n", - " 'CH',\n", - " 'BL',\n", - " 'TM',\n", - " 'ME',\n", - " 'CO',\n", - " 'JL',\n", - " 'GE'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## What is in an edge?\n", - "HV.edges[1]" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "### Collapse the nodes to understand the relationships (same as diagram in title)\n", - "plt.figure(figsize=[10,10])\n", - "hnx.draw(HV.collapse_nodes(),with_node_counts=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Noting the characters in the intersections between edges gives a sense of their importance. Which characters are central to the novel?" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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FullNameDescription
Symbol
JVJean Valjeanthief of bread
JAJavertpolice officer of M-- sur M--
COCosettedaughter of FN and FT
THTh\\'enardiersergeant of Waterloo and keeper of a chophouse
\n", - "
" - ], - "text/plain": [ - " FullName Description\n", - "Symbol \n", - "JV Jean Valjean thief of bread\n", - "JA Javert police officer of M-- sur M--\n", - "CO Cosette daughter of FN and FT\n", - "TH Th\\'enardier sergeant of Waterloo and keeper of a chophouse" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### Who are the four characters belonging to all five volumes?\n", - "volume_char_sets = list(set(HV.edges[idx]) for idx in range(1,6))\n", - "core_characters = list(set.intersection(*volume_char_sets))\n", - "names.loc[core_characters]" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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FullNameDescription
Symbol
JVJean Valjeanthief of bread
MNMagnonservant of GI
JPJean Prouvaire`Friends of the ABC' poet
BBBabettooth-pulling bandit of Paris
GIMonsieur Luke Esprit Gillenormandgrand bourgeois
EPEponinedaughter of TH and TM
JAJavertpolice officer of M-- sur M--
BOBossuet (Lesgle)`Friends of the ABC' klutz
JOJoly`Friends of the ABC' medic
FEFeuilly`Friends of the ABC' political idealist
ENEnjolras`Friends of the ABC' chief
CMCombeferre`Friends of the ABC' guide
PLMother Plutarchmaid of MM
MAMariusgrandson of GI
BABahorel`Friends of the ABC' cutup
THTh\\'enardiersergeant of Waterloo and keeper of a chophouse
GTGrantaire`Friends of the ABC' skeptic
TGLieutenant Theodule Gillenormandsoldier and grandnephew of GI
CRCourfeyrac`Friends of the ABC' center
QUClaquesousnight-like bandit of Paris
MMMonsieur Mabeufprefect of church
GUGueulemerHerculean bandit of Paris
TMMadame Th\\'enardierwife of TH
MGMadamoiselle Gillenormandunmarried daughter of GI
MOMontparnassegenteel bandit of Paris
GAGavrocheyoung urchin living at Gorbeau House
COCosettedaughter of FN and FT
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" - ], - "text/plain": [ - " FullName \\\n", - "Symbol \n", - "JV Jean Valjean \n", - "MN Magnon \n", - "JP Jean Prouvaire \n", - "BB Babet \n", - "GI Monsieur Luke Esprit Gillenormand \n", - "EP Eponine \n", - "JA Javert \n", - "BO Bossuet (Lesgle) \n", - "JO Joly \n", - "FE Feuilly \n", - "EN Enjolras \n", - "CM Combeferre \n", - "PL Mother Plutarch \n", - "MA Marius \n", - "BA Bahorel \n", - "TH Th\\'enardier \n", - "GT Grantaire \n", - "TG Lieutenant Theodule Gillenormand \n", - "CR Courfeyrac \n", - "QU Claquesous \n", - "MM Monsieur Mabeuf \n", - "GU Gueulemer \n", - "TM Madame Th\\'enardier \n", - "MG Madamoiselle Gillenormand \n", - "MO Montparnasse \n", - "GA Gavroche \n", - "CO Cosette \n", - "\n", - " Description \n", - "Symbol \n", - "JV thief of bread \n", - "MN servant of GI \n", - "JP `Friends of the ABC' poet \n", - "BB tooth-pulling bandit of Paris \n", - "GI grand bourgeois \n", - "EP daughter of TH and TM \n", - "JA police officer of M-- sur M-- \n", - "BO `Friends of the ABC' klutz \n", - "JO `Friends of the ABC' medic \n", - "FE `Friends of the ABC' political idealist \n", - "EN `Friends of the ABC' chief \n", - "CM `Friends of the ABC' guide \n", - "PL maid of MM \n", - "MA grandson of GI \n", - "BA `Friends of the ABC' cutup \n", - "TH sergeant of Waterloo and keeper of a chophouse \n", - "GT `Friends of the ABC' skeptic \n", - "TG soldier and grandnephew of GI \n", - "CR `Friends of the ABC' center \n", - "QU night-like bandit of Paris \n", - "MM prefect of church \n", - "GU Herculean bandit of Paris \n", - "TM wife of TH \n", - "MG unmarried daughter of GI \n", - "MO genteel bandit of Paris \n", - "GA young urchin living at Gorbeau House \n", - "CO daughter of FN and FT " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### Who are the characters belonging to the different intersections? \n", - "## Replace the values in the array with the volumes of interest.\n", - "vols = [3,4]\n", - "volume_char_sets = list(set(HV.edges[idx].uidset) for idx in vols)\n", - "chars_of_interest = list(set.intersection(*volume_char_sets))\n", - "names.loc[chars_of_interest]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of Characters shared by pairs of volumes:\n" - ] - }, - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " 0\n", - "(1, 2) 7\n", - "(1, 3) 6\n", - "(1, 4) 5\n", - "(1, 5) 4\n", - "(2, 3) 8\n", - "(2, 4) 6\n", - "(2, 5) 6\n", - "(3, 4) 27\n", - "(3, 5) 16\n", - "(4, 5) 17" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## What are the intersection sizes:\n", - "volume_intersections = dict()\n", - "for pair in itt.combinations(range(1,6),2):\n", - " volume_char_sets = list(set(HV.edges[idx].uidset) for idx in pair)\n", - " titlepair = (volumes.title[pair[0]],volumes.title[pair[1]])\n", - " volume_intersections[tuple(pair)] = len(set.intersection(*volume_char_sets))\n", - "print(\"Number of Characters shared by pairs of volumes:\")\n", - "pd.DataFrame.from_dict(volume_intersections,orient=\"index\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Highlights from each Volume (A very very very short description...)\n", - "\n", - "Fantine: Volume 1 Lays the foundation for the novel. Most of the characters do not appear in subsequent volumes. Most important of these is Fantine. As mother of Cosette, she sacrifices her life in the support of her daughter and lays the charge on Jean Valjean to care for Cosette when she dies. In contrast to Fantine, Jean Valjean and Cosette appear in all the volumes. A central story to the novel follows their travels as they flee from the relentless pursuit by Javert and the dogged and often comical abuses of Thenardier. Jean Valjean, originally convicted for stealing bread, begins as a hardened convict but through the mercy of a bishop is transformed into a philanthropist.\n", - "\n", - "Cosette: Volume 2 follows Cosette's liberation from her caretakers, the Thenardiers, by Jean Valjean. They flee into hiding from Javert and find refuge in a convent, where Valjean works as a gardener and Cosette is educated. Much character development is done, including a long description of Waterloo ending with the singular way in which M. Thenardier obtained a silver cross of the Legion of Honour while saving the life of one Pontmercy.\n", - "\n", - "Marius: Marius Pontmercy, son of an officer in Napoleon's army and grandson of a Royalist, experiences conflicting loyalties and ultimately turns his back on friends and family and lives among the poor. He sees and eventually falls in love with Cosette. In honor of his father, he attempts to help M. Thenardier but discovers his treachery when M. Thenardier attempts to murder the person he takes to be Cosette's father.\n", - "\n", - "St. Denis: With his love for Cosette thwarted, Marius joins a group of students to participate in an uprising known as the June rebellion. They construct a barricade near the Rue Saint-Denis.\n", - "\n", - "Jean Valjean: Jean Valjean saves Marius's life when soldiers overwhelm the barricades. Marius discovers Jean Valjean's true identity from Thenardier. Jean Valjean dies at peace with Cosette and Marius.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraph of each Volume using Books as edges. \n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "### Construct a hypergraph for each volume\n", - "### The edges will be the books and the nodes the characters.\n", - "fantine = scenes.loc[scenes.Volume == 1]\n", - "cosette = scenes.loc[scenes.Volume == 2]\n", - "marius = scenes.loc[scenes.Volume == 3]\n", - "stdenis = scenes.loc[scenes.Volume == 4]\n", - "jeanvaljean = scenes.loc[scenes.Volume == 5]" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "### Construct the edges as a dictionaries\n", - "vols = [0,fantine, cosette, marius, stdenis, jeanvaljean]\n", - "HB = dict()\n", - "for idx in range(1,6):\n", - " book_edges = dict()\n", - " for book in vols[idx].Book:\n", - " book_edges[book] = set(vols[idx].loc[vols[idx].Book == book]['Characters'])\n", - " ### Construct a hypergraph made up of volume_edges\n", - " HB[idx] = hnx.Hypergraph(book_edges,name=f\"{volumes.title[idx]}-Books\")\n", - " for node in HB[idx].nodes:\n", - " HB[idx].nodes[node].name = names.loc[node]['FullName']\n", - " HB[idx].nodes[node].description = names.loc[node]['Description']" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(HB[1].collapse_nodes(),with_node_counts=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "### In the final book there is a long section on the Paris Sewers. \n", - "### The only character in that section was the creator of the sewers.\n", - "plt.figure(figsize=[10,10])\n", - "hnx.draw(HB[5])" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AttrList([])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "HB[5].nodes['BS']" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AttrList([2])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "HB[5].nodes['BS'].memberships ## Bruneseau belongs to the 2nd book in volume 5" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "### Separate the components and consider the large one\n", - "c1,c2 = list(HB[5].component_subgraphs(return_singletons=True))\n", - "hnx.draw(c1)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "### Note in the first book of this volume the soldiers confront the students at the barricades\n", - "### Most of the students are killed\n", - "### In the 4th book Javert dies alone\n", - "### At the center, in the last scene (8), there is only JV and CO\n", - "plt.figure(figsize=[10,10])\n", - "hnx.draw(c1)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AttrList(['JV', 'CO'])" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "HB[5].edges[8]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Who knew who?\n", - "\n", - "We can examine the interactions between certain characters by studying their neighborhoods and induced subgraphs.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "## In Volume 1, Restrict to the nodes in a neighborhood of Fantine \n", - "## and construct the subhypergraph of HB[1] restricted to these nodes \n", - "\n", - "FNnodes = list(HB[1]['FN'])\n", - "FNnodes.append('FN')\n", - "FNNeighborhood = HB[1].restrict_to_nodes(FNnodes)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{1: ['MY'],\n", - " 2: ['MY', 'JV', 'MT'],\n", - " 3: ['FA', 'DA', 'LI', 'BL', 'ZE', 'FN', 'FV', 'FT'],\n", - " 4: ['TH', 'FN', 'TM', 'CO'],\n", - " 5: ['JA', 'MY', 'JV', 'FF', 'VI', 'FN', 'MT', 'BM'],\n", - " 6: ['JV', 'FN', 'JA'],\n", - " 7: ['SS', 'CC', 'CN', 'JV', 'CH', 'SP', 'JU', 'SC', 'BR', 'FN', 'PO', 'BM'],\n", - " 8: ['SS', 'JA', 'JV', 'SP', 'FN', 'PO']}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "FNNeighborhood.edges.incidence_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(FNNeighborhood)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{1: ['MY', 'MB', 'ME'],\n", - " 2: ['MY', 'JV', 'MB', 'PG', 'MR', 'IS', 'JL', 'ME', 'MT'],\n", - " 3: ['FN'],\n", - " 4: ['FN'],\n", - " 5: ['JA', 'MY', 'JV', 'FF', 'VI', 'FN', 'MT', 'BM'],\n", - " 6: ['JV', 'FN', 'JA'],\n", - " 7: ['SS', 'CC', 'CN', 'JV', 'CH', 'SP', 'JU', 'SC', 'BR', 'FN', 'PO', 'BM'],\n", - " 8: ['SS', 'JA', 'JV', 'SP', 'FN', 'PO']}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## In Volume 1, Restrict to a neighborhood of Jean Valjean\n", - "JVnodes = list(HB[1]['JV'])\n", - "JVnodes.append('JV')\n", - "JVNeighborhood = HB[1].restrict_to_nodes(JVnodes)\n", - "JVNeighborhood.edges.incidence_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(JVNeighborhood)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "## Combine the subgraphs\n", - "Fantine_edges = list(FNNeighborhood.edges.elements.values())\n", - "JVFNHypergraph = HB[1].restrict_to_nodes(JVnodes)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(JVFNHypergraph)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraph of each Volume using scenes as edges" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "## Scene hypergraphs for each Volume indexed by Book,Chapter,Scene.\n", - "vols = [0,fantine, cosette, marius, stdenis, jeanvaljean]\n", - "scene_edges = defaultdict(list)\n", - "HS = dict()\n", - "for idx in range(1,6):\n", - " scene_edges = defaultdict(list)\n", - " for row in vols[idx].itertuples():\n", - " scene_edges[(row.Book,row.Chapter,row.Scene)].append(row.Characters)\n", - " ### Construct a hypergraph made up of scene_edges\n", - " HS[idx] = hnx.Hypergraph(scene_edges,name=f\"{volumes.title[idx]}-Scenes\")\n", - " for node in HS[idx].nodes:\n", - " HS[idx].nodes[node].name = names.loc[node]['FullName']\n", - " HS[idx].nodes[node].description = names.loc[node]['Description'] " - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{(1, 1, 0): ['MY', 'NP'],\n", - " (1, 1, 1): ['MY', 'MB'],\n", - " (1, 2, 0): ['MY', 'ME'],\n", - " (1, 2, 1): ['ME', 'MB'],\n", - " (1, 3, 0): ['MY'],\n", - " (1, 4, 0): ['MY', 'ME'],\n", - " (1, 4, 1): ['MY', 'CL'],\n", - " (1, 4, 2): ['MY', 'GE'],\n", - " (1, 4, 3): ['MY', 'MC'],\n", - " (1, 4, 4): ['MY', 'MB'],\n", - " (1, 5, 0): ['MY', 'MB', 'ME'],\n", - " (1, 6, 0): ['ME', 'MY'],\n", - " (1, 7, 0): ['MY', 'CV'],\n", - " (1, 7, 1): ['MY', 'MB', 'ME'],\n", - " (1, 8, 0): ['SN', 'MY'],\n", - " (1, 9, 0): ['MB'],\n", - " (1, 10, 0): ['MY', 'GG'],\n", - " (1, 11, 0): ['MY'],\n", - " (1, 12, 0): ['MY'],\n", - " (1, 13, 0): ['MY'],\n", - " (1, 14, 0): ['MY', 'SN'],\n", - " (2, 1, 0): ['JL', 'JV'],\n", - " (2, 1, 1): ['JV', 'MT'],\n", - " (2, 1, 2): ['MR', 'JV'],\n", - " (2, 2, 0): ['ME', 'MB', 'MY'],\n", - " (2, 3, 0): ['ME', 'MB', 'MY', 'JV'],\n", - " (2, 4, 0): ['MY', 'JV', 'MB'],\n", - " (2, 4, 1): ['MY', 'JV', 'MB', 'ME'],\n", - " (2, 5, 0): ['MY', 'ME', 'JV'],\n", - " (2, 6, 0): ['JV', 'IS'],\n", - " (2, 7, 0): ['JV'],\n", - " (2, 9, 0): ['JV'],\n", - " (2, 10, 0): ['JV'],\n", - " (2, 11, 0): ['JV'],\n", - " (2, 12, 0): ['MY', 'ME'],\n", - " (2, 12, 1): ['MY', 'JV'],\n", - " (2, 13, 0): ['PG', 'JV'],\n", - " (3, 2, 0): ['FT', 'LI', 'FA', 'BL'],\n", - " (3, 3, 0): ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", - " (3, 4, 0): ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", - " (3, 6, 0): ['BL', 'FV'],\n", - " (3, 6, 1): ['FV', 'DA'],\n", - " (3, 7, 0): ['FT'],\n", - " (3, 8, 0): ['FT', 'LI', 'FA', 'BL', 'FV', 'DA', 'ZE', 'FN'],\n", - " (3, 9, 0): ['FV', 'DA', 'ZE', 'FN'],\n", - " (4, 1, 0): ['TM', 'FN'],\n", - " (4, 1, 1): ['TH', 'TM', 'FN'],\n", - " (4, 3, 0): ['CO'],\n", - " (4, 3, 1): ['TH'],\n", - " (4, 3, 2): ['TM'],\n", - " (5, 1, 0): ['JV'],\n", - " (5, 2, 0): ['JV'],\n", - " (5, 3, 0): ['JV'],\n", - " (5, 4, 0): ['MY'],\n", - " (5, 5, 0): ['JA'],\n", - " (5, 6, 0): ['FF', 'JV', 'JA'],\n", - " (5, 7, 0): ['FF'],\n", - " (5, 8, 0): ['VI'],\n", - " (5, 8, 1): ['FN'],\n", - " (5, 9, 0): ['VI'],\n", - " (5, 9, 1): ['MT', 'FN'],\n", - " (5, 10, 0): ['MT', 'FN'],\n", - " (5, 12, 0): ['BM', 'FN', 'JA'],\n", - " (5, 13, 0): ['FN', 'JA'],\n", - " (5, 13, 1): ['FN', 'JA', 'JV'],\n", - " (5, 13, 2): ['JA', 'JV'],\n", - " (5, 13, 3): ['JV', 'FN'],\n", - " (6, 1, 0): ['JV', 'FN'],\n", - " (6, 2, 0): ['JV', 'JA'],\n", - " (7, 1, 0): ['SP', 'SS'],\n", - " (7, 1, 1): ['JV', 'SS'],\n", - " (7, 1, 2): ['JV', 'FN'],\n", - " (7, 2, 0): ['JV', 'SC'],\n", - " (7, 3, 0): ['JV'],\n", - " (7, 4, 0): ['JV', 'PO'],\n", - " (7, 5, 0): ['JV'],\n", - " (7, 6, 0): ['SS', 'FN'],\n", - " (7, 7, 0): ['JV'],\n", - " (7, 8, 0): ['JV'],\n", - " (7, 9, 0): ['JV', 'JU', 'CH', 'BM'],\n", - " (7, 10, 0): ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", - " (7, 11, 0): ['JV', 'BR', 'CN', 'CC', 'JU', 'CH'],\n", - " (8, 1, 0): ['SS', 'JV'],\n", - " (8, 1, 1): ['JV', 'FN'],\n", - " (8, 2, 0): ['JV', 'FN'],\n", - " (8, 3, 0): ['JV', 'FN', 'JA'],\n", - " (8, 4, 0): ['JV', 'FN'],\n", - " (8, 4, 1): ['JV', 'JA'],\n", - " (8, 4, 2): ['JA', 'FN', 'JV'],\n", - " (8, 4, 3): ['JA', 'JV'],\n", - " (8, 5, 0): ['JV', 'PO'],\n", - " (8, 5, 1): ['FN', 'SP', 'SS'],\n", - " (8, 5, 2): ['JV', 'SS'],\n", - " (8, 5, 3): ['PO', 'JA'],\n", - " (8, 5, 4): ['JA', 'SS']}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "HS[1].edges.incidence_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Who knew who by Scenes?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Difference in relationships when drilling down into hierarchy of sets\n", - "\n", - "We consider the neighborhoods of Fantine and Jean Valjean in the Scenes hypergraph. \n", - "Starting with the subgraph generated by the neighbors of Fantine, we restrict to neighbors of Jean Valjean." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "## In Volume 1, Restrict to a neighborhood of Fantine\n", - "FNnodes = list(HS[1]['FN'])\n", - "FNnodes.append('FN')\n", - "FNNeighborhood = HS[1].restrict_to_nodes(FNnodes)\n", - "jvfn = list(FNNeighborhood['JV'])\n", - "jvfn.append('JV')\n", - "FNJVNeighborhood = FNNeighborhood.restrict_to_nodes(jvfn)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.figure(figsize=[25,15])\n", - "hnx.draw(FNJVNeighborhood)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "While the graph shows FN and JV as central points we can more clearly visualize the core relationships by collapsing the edges" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(FNJVNeighborhood.collapse_edges(),with_edge_counts=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "While the Books Hypergraph indicated many relationships shared by FN and JV it does not indicate if FN and JV actually encountered each other alone or who they were with. The Scenes Hypergraph drills down in the hierarchy of relationships to those core scenes where actual meetings took place and who else was involved." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraph of Scenes in Volume 1 Book 1" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "df = scenes.loc[scenes.Volume==1].loc[scenes.Book == 1]\n", - "edges = defaultdict(list)\n", - "for row in df.itertuples():\n", - " edges[row.Chapter].append(row.Characters)\n", - "Hdf = hnx.Hypergraph(edges)" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=[10,10])\n", - "hnx.draw(Hdf.collapse_nodes_and_edges(),with_node_counts=True,with_edge_counts=True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/basic/Tutorial 4 - LesMis Visualizations-BookTour.ipynb b/tutorials/basic/Tutorial 4 - LesMis Visualizations-BookTour.ipynb deleted file mode 100644 index 243b26c2..00000000 --- a/tutorials/basic/Tutorial 4 - LesMis Visualizations-BookTour.ipynb +++ /dev/null @@ -1,560 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from networkx.drawing import spring_layout\n", - "import matplotlib.pyplot as plt\n", - "\n", - "try:\n", - " import hypernetx as hnx\n", - "except ImportError:\n", - " print(\"Installing HyperNetX.........\")\n", - " !pip install hypernetx --quiet 2> /dev/null\n", - " print(\"Installation complete; please rerun this cell in order for the rest of the cells to use HyperNetX.\")\n", - " exit()\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Construction\n", - "We start with a list of scenes, and construct a hypergraph by converting this to a dictionary." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: ['FN', 'TH'],\n", - " 1: ['TH', 'JV'],\n", - " 2: ['BM', 'FN', 'JA'],\n", - " 3: ['JV', 'JU', 'CH', 'BM'],\n", - " 4: ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'],\n", - " 5: ['TH', 'GP'],\n", - " 6: ['GP', 'MP'],\n", - " 7: ['MA', 'GP']}" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenes = [\n", - " ('FN', 'TH'),\n", - " ('TH', 'JV'),\n", - " ('BM', 'FN', 'JA'),\n", - " ('JV', 'JU', 'CH', 'BM'),\n", - " ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " ('TH', 'GP'),\n", - " ('GP', 'MP'),\n", - " ('MA', 'GP')\n", - "]\n", - "\n", - "H = hnx.Hypergraph(dict(enumerate(scenes)))\n", - "H.edges.incidence_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n" - ] - }, - { - "data": { - "text/plain": [ - "{'BM': [2, 3, 4],\n", - " 'BR': [4],\n", - " 'CC': [4],\n", - " 'CH': [3, 4],\n", - " 'CN': [4],\n", - " 'FN': [0, 2],\n", - " 'GP': [5, 6, 7],\n", - " 'JA': [2],\n", - " 'JU': [3, 4],\n", - " 'JV': [1, 3, 4],\n", - " 'MA': [7],\n", - " 'MP': [6],\n", - " 'TH': [0, 1, 5]}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "H.dual().edges.incidence_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Visualization\n", - "Use the default drawing tool to visualize `H` and its dual." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1387: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties = props.combine_first(self.properties)\n", - "/Users/prag717/Library/CloudStorage/OneDrive-PNNL/Documents/tdm/hnx/hypernetx/classes/entity.py:1390: RuntimeWarning: The values in the array are unorderable. Pass `sort=False` to suppress this warning.\n", - " properties[self._misc_props_col] = self.properties[\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize=(16, 8))\n", - "hnx.draw(H, ax=plt.subplot(121))\n", - "hnx.draw(H.dual(), ax=plt.subplot(122))\n", - "plt.title('Dual');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Book Tours\n", - "A book tour is a `Series` of `Hypergraph`'s from Les Miserables indexed hierarchically by Volume and Book." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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VolumeBookChapterSceneStepCharacters
011100MY
111100NP
211111MY
311111MB
411202MY
.....................
8575941400MA
8585941400CO
8595950401JV
8605950401CO
8615950401MA
\n", - "

862 rows × 6 columns

\n", - "
" - ], - "text/plain": [ - " Volume Book Chapter Scene Step Characters\n", - "0 1 1 1 0 0 MY\n", - "1 1 1 1 0 0 NP\n", - "2 1 1 1 1 1 MY\n", - "3 1 1 1 1 1 MB\n", - "4 1 1 2 0 2 MY\n", - ".. ... ... ... ... ... ...\n", - "857 5 9 4 1 400 MA\n", - "858 5 9 4 1 400 CO\n", - "859 5 9 5 0 401 JV\n", - "860 5 9 5 0 401 CO\n", - "861 5 9 5 0 401 MA\n", - "\n", - "[862 rows x 6 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lesmis = hnx.LesMis()\n", - "lesmis.df_scenes" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
ChapterCharacters
VolumeBook
111MY
11NP
11MY
11MB
12MY
............
594MA
94CO
95JV
95CO
95MA
\n", - "

862 rows × 2 columns

\n", - "
" - ], - "text/plain": [ - " Chapter Characters\n", - "Volume Book \n", - "1 1 1 MY\n", - " 1 1 NP\n", - " 1 1 MY\n", - " 1 1 MB\n", - " 1 2 MY\n", - "... ... ...\n", - "5 9 4 MA\n", - " 9 4 CO\n", - " 9 5 JV\n", - " 9 5 CO\n", - " 9 5 MA\n", - "\n", - "[862 rows x 2 columns]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lesmis.df_scenes.set_index(['Volume','Book'])[['Chapter','Characters']]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Volume Book\n", - "1 1 (CL, CV, MB, SN, GE, ME, GG, MY, MC, NP)\n", - " 2 (MB, JL, ME, MT, MY, PG, IS, JV, MR)\n", - " 3 (DA, BL, FV, FT, FA, FN, ZE, LI)\n", - " 4 (TH, CO, TM, FN)\n", - " 5 (VI, JA, MT, MY, FN, FF, BM, JV)\n", - "dtype: object" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "book_tour_data = lesmis.book_tour_data\n", - "book_tour_data.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Book Tour Visualization (small multiples)\n", - "Draw one hypergraph for each of the `{Volume x Book}` pairs in Les Miserables. Volumes are rows and books are columns. Note an empty square in the grid indicates the volume either didn't contain the book with that index or the book was purely expository with no character interactions. \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for t, Ht, ax in hnx.book_tour(book_tour_data):\n", - " hnx.draw(Ht, layout=spring_layout, ax=ax, with_edge_counts=True)\n", - " ax.axis('on')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for t, Ht, ax in hnx.book_tour(book_tour_data):\n", - " Ht = Ht.collapse_nodes_and_edges()\n", - " hnx.draw(Ht, layout=spring_layout, ax=ax, with_edge_counts=True)\n", - " ax.axis('on')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/data/dataframe_example.csv b/tutorials/data/dataframe_example.csv new file mode 100644 index 00000000..8decfd69 --- /dev/null +++ b/tutorials/data/dataframe_example.csv @@ -0,0 +1,25 @@ +col1,col2,col3,col4 +0,FN,7,{'time': 'early'} +0,TH,1,{'time': 'late'} +1,TH,1,{'subject': 'war'} +1,JV,1,{'observed_by': 'someone'} +2,BM,1,{} +2,FN,1,{} +2,JA,1,{'role': 'policeman'} +3,JV,1,{'was_carrying': 'stick'} +3,JU,1,{} +3,CH,1,{} +3,BM,1,"{'state': 'intoxicated', 'color': 'pinkish'}" +4,JU,15,{} +4,CH,1,{} +4,BR,1,{'state': 'worried'} +4,CN,1,{} +4,CC,1,{} +4,JV,1,{} +4,BM,1,{} +5,TH,1,{} +5,GP,1,{} +6,GP,1,{} +6,MP,1,{} +7,MA,1,{} +7,GP,15,"{'accompanied_by': 'dog', 'was_singing': 'Frère Jacques'}" diff --git a/tutorials/data/dogsAndcats.csv b/tutorials/data/dogsAndcats.csv new file mode 100644 index 00000000..ebbba3e7 --- /dev/null +++ b/tutorials/data/dogsAndcats.csv @@ -0,0 +1,18 @@ +dogs,cats,weight +Togo,Amber,1 +Togo,George,5 +Balto,Bill,1 +Balto,Fred,5 +Tux,Daisy,5 +Tux,Fred,5 +Tux,Henry,5 +Buddy,Bill,5 +Bandit,Cozy,1 +Bandit,Amber,1 +Bandit,Fred,1 +Bandit,Bill,1 +Black,Daisy,1 +Black,Fred,1 +Black,Henry,8 +Togo,Cozy,12 +Rosa,Zuko, diff --git a/tutorials/data/incidence_dataframe.csv b/tutorials/data/incidence_dataframe.csv new file mode 100644 index 00000000..a7cf0d6b --- /dev/null +++ b/tutorials/data/incidence_dataframe.csv @@ -0,0 +1,5 @@ +index,A,B,C,D +a,5,0,0,0 +b,1,3,0,0 +c,1,0,0.4,0 +d,0,1,1,1 diff --git a/tutorials/hypergraph_modularity_tests.ipynb b/tutorials/hypergraph_modularity_tests.ipynb deleted file mode 100644 index a523a3ce..00000000 --- a/tutorials/hypergraph_modularity_tests.ipynb +++ /dev/null @@ -1,360 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Testing modularity code for HyperNetX\n", - "\n", - "Testing new code taking advantage of the data structure in HNX2 for the hypergraph_modularity module.\n", - "The code can be installed from the following forked repo (branch = modularity):\n", - "\n", - "```\n", - "pip install git+https://github.com/ftheberge/HyperNetX.git@modularity#egg=hypernetx \n", - "```\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Updates to HNX2.0 modularity module\n", - "\n", - "### Unchanged functions:\n", - "\n", - "- dict2part(D)\n", - "- part2dict(A)\n", - "- linear(d, c)\n", - "- majority(d, c)\n", - "- strict(d, c)\n", - "- two_section(HG)\n", - "- kumar(HG, delta=0.01, verbose=False)\n", - "\n", - "### No longer required\n", - "\n", - "- precompute_attributes(H)\n", - "- _compute_partition_probas(HG, A)\n", - "- _degree_tax(HG, Pr, wdc)\n", - "- _edge_contribution(HG, A, wdc)\n", - "- _delta_ec(HG, P, v, a, b, wdc)\n", - "- _bin_ppmf(d, c, p)\n", - "- _delta_dt(HG, P, v, a, b, wdc)\n", - "\n", - "### New version \n", - "\n", - "- modularity(HG, A, wdc=linear)\n", - "- last_step(HG, L, wdc=linear, delta=0.01, verbose=False)\n", - "\n", - "### New (hidden) functions\n", - "\n", - "- _last_step_unweighted\n", - "- _last_step_weighted\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:28:24.033817Z", - "start_time": "2023-11-09T00:28:24.026231Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HNX version: 2.0.4\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import igraph as ig\n", - "import hypernetx as hnx\n", - "import hypernetx.algorithms.hypergraph_modularity as hmod ## we re-wrote some of those functions\n", - "import pickle\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "from collections import Counter\n", - "import shutup\n", - "shutup.mute_warnings()\n", - "print('HNX version:',hnx.__version__)\n", - "Datadir = \"data/\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Experiment with h-ABCD hypergraphs\n", - "\n", - "We generated 4 h-ABCD hypergraphs with parameters:\n", - "\n", - "* -n 1000 -d 2.5,5,50 -c 1.5,50,200 -x 0.5 -q 0.0,0.4,0.3,0.2,0.1 -w :**linear** -s 1234 -o linear_1000\n", - "* same as above with **strict**, **majority**\n", - "* -n 1000 -d 2.5,5,50 -c 1.5,50,200 -x 0.5 -q 0.0,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1 -w :linear -s 1234 -o linear_large_edges_1000\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:28:43.195781Z", - "start_time": "2023-11-09T00:28:43.149930Z" - } - }, - "outputs": [], - "source": [ - "## pick one on the 4 examples\n", - "file_vertex_labels = Datadir+'linear_1000_assign.txt'\n", - "file_hyperedges = Datadir+'linear_1000_he.txt'" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "outputs": [ - { - "data": { - "text/plain": "(1000, 3385)" - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "## read data, build hypergraph\n", - "with open(file_hyperedges, 'r') as file:\n", - " # Read all the lines of the file into a list\n", - " lines = file.readlines()\n", - "hyperedges = [[y for y in x.replace('\\n','').split(',')] for x in lines]\n", - "\n", - "## for test purpose - add edges of size 1, multi-edges\n", - "#hyperedges.extend([['1'],['2'],['3']])\n", - "#hyperedges.extend([['1','1'],['2'],['3','3']])\n", - "\n", - "with open(file_vertex_labels, 'r') as file:\n", - " # Read all the lines of the file into a list\n", - " vertex_labels = np.array([int(y) for y in file.read().splitlines()])\n", - "\n", - "H = hnx.Hypergraph(hyperedges)\n", - "## optional - add random edge weights for test purpose\n", - "#for e in H.edges:\n", - "# H.edges[e].weight = np.random.choice(10)+1\n", - "H.shape " - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-11-09T00:28:46.922021Z", - "start_time": "2023-11-09T00:28:45.974463Z" - } - } - }, - { - "cell_type": "code", - "execution_count": 16, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 399 ms, sys: 6.47 ms, total: 406 ms\n", - "Wall time: 435 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "## Cluster the 2-section graph (with Louvain)\n", - "G = hmod.two_section(H)\n", - "G.vs['louvain'] = G.community_multilevel(weights='weight').membership\n", - "ML = hmod.dict2part({v['name']:v['louvain'] for v in G.vs})\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-11-09T00:29:20.510734Z", - "start_time": "2023-11-09T00:29:20.080466Z" - } - } - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:29:23.139492Z", - "start_time": "2023-11-09T00:29:23.054207Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "qH-linear: 0.3709337930881103\n", - "qH-majority: 0.3833705858261428\n", - "qH-strict: 0.3384402033530553\n", - "CPU times: user 105 ms, sys: 6.93 ms, total: 112 ms\n", - "Wall time: 106 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "## Compute qH's\n", - "print('qH-linear:',hmod.modularity(H, ML, wdc=hmod.linear))\n", - "print('qH-majority:',hmod.modularity(H, ML, wdc=hmod.majority))\n", - "print('qH-strict:',hmod.modularity(H, ML, wdc=hmod.strict))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:29:47.130431Z", - "start_time": "2023-11-09T00:29:33.745556Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pass completed, max edge weight difference: 0.4896602658788774\n", - "pass completed, max edge weight difference: 0.2458714918759232\n", - "pass completed, max edge weight difference: 0.12054098966026587\n", - "pass completed, max edge weight difference: 0.06374076809453472\n", - "pass completed, max edge weight difference: 0.03346057976366322\n", - "pass completed, max edge weight difference: 0.017357367060561298\n", - "pass completed, max edge weight difference: 0.00992660635155096\n", - "CPU times: user 13.2 s, sys: 64.4 ms, total: 13.3 s\n", - "Wall time: 13.4 s\n" - ] - } - ], - "source": [ - "%%time\n", - "## Cluster the hypergraph (with Kumar's)\n", - "KU = hmod.kumar(H, verbose=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:27:38.420141Z", - "start_time": "2023-11-09T00:27:38.364670Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "qH-linear: 0.3818650183516174\n", - "qH-majority: 0.39332336234821413\n", - "qH-strict: 0.3517127330702746\n", - "CPU times: user 93.5 ms, sys: 6.18 ms, total: 99.7 ms\n", - "Wall time: 94.9 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "## Compute qH's\n", - "print('qH-linear:',hmod.modularity(H, KU, wdc=hmod.linear))\n", - "print('qH-majority:',hmod.modularity(H, KU, wdc=hmod.majority))\n", - "print('qH-strict:',hmod.modularity(H, KU, wdc=hmod.strict))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": false, - "ExecuteTime": { - "end_time": "2023-11-09T00:28:21.210931Z", - "start_time": "2023-11-09T00:27:38.457234Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "initial qH: 0.3818650183516174\n", - "94 moves, new qH: 0.39606423386553097\n", - "29 moves, new qH: 0.39903083601492056\n", - "CPU times: user 42 s, sys: 511 ms, total: 42.5 s\n", - "Wall time: 42.8 s\n" - ] - } - ], - "source": [ - "%%time\n", - "## try improving selected qH via simple heuristic\n", - "KU_ls = hmod.last_step(H, KU, wdc=hmod.linear, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2023-11-09T00:28:21.327170Z", - "start_time": "2023-11-09T00:28:21.213235Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "qH-linear: 0.39903083601492056\n", - "qH-majority: 0.42453589938853936\n", - "qH-strict: 0.3384679383387232\n", - "CPU times: user 108 ms, sys: 4.6 ms, total: 113 ms\n", - "Wall time: 110 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "## Compute qH with current HNX function\n", - "print('qH-linear:',hmod.modularity(H, KU_ls, wdc=hmod.linear))\n", - "print('qH-majority:',hmod.modularity(H, KU_ls, wdc=hmod.majority))\n", - "print('qH-strict:',hmod.modularity(H, KU_ls, wdc=hmod.strict))" - ] - } - ], - "metadata": { - "kernelspec": { - "name": "python3", - "language": "python", - "display_name": "Python 3 (ipykernel)" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tutorials/widget/Demo 1 - HNXWidget.ipynb b/tutorials/widget/Demo 1 - HNXWidget.ipynb old mode 100644 new mode 100755 index 6f28302c..dfbed6c6 --- a/tutorials/widget/Demo 1 - HNXWidget.ipynb +++ b/tutorials/widget/Demo 1 - HNXWidget.ipynb @@ -1,37 +1,174 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install hypernetx ## uncomment to run in Colab\n", + "# !pip install hnxwidget" + ] + }, { "cell_type": "markdown", + "metadata": {}, "source": [ "# HyperNetX Widgets\n", "\n", "Unlike the tutorials, this is an interactive demo to get you acquainted with the constructor options and how to use the widget. **Hover over the nodes and edges each time you run the widget to see how properties enhance the visual information.**" - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:14.006519Z", + "start_time": "2024-05-16T22:23:11.953762Z" + } + }, "outputs": [], "source": [ "import hypernetx as hnx\n", "from hypernetx.utils.toys.lesmis import LesMis\n", "from hnxwidget import HypernetxWidget\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ], - "metadata": { - "collapsed": false - } + "import matplotlib.pyplot as plt" + ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:14.281368Z", + "start_time": "2024-05-16T22:23:14.007410Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/hnx2/lib/python3.10/site-packages/pandas/core/dtypes/cast.py:1641: DeprecationWarning: np.find_common_type is deprecated. Please use `np.result_type` or `np.promote_types`.\n", + "See https://numpy.org/devdocs/release/1.25.0-notes.html and the docs for more information. (Deprecated NumPy 1.25)\n", + " return np.find_common_type(types, [])\n" + ] + }, + { + "data": { + "text/html": [ + "
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FullNameDescription
Symbol
AZAnzelmadaughter of TH and TM
BABahorel`Friends of the ABC' cutup
BBBabettooth-pulling bandit of Paris
BJBrujonnotorious criminal
BLBlachevilleParisian student from Montauban
.........
TSToussaintservant of JV at Rue Plumet
VIMadame Victurniensnoop in M-- sur M--
XAChild 1son of TH sold to MN
XBChild 2son of TH sold to MN
ZEZephinelover of FA
\n", + "

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\n", + "
" + ], + "text/plain": [ + " FullName Description\n", + "Symbol \n", + "AZ Anzelma daughter of TH and TM\n", + "BA Bahorel `Friends of the ABC' cutup\n", + "BB Babet tooth-pulling bandit of Paris\n", + "BJ Brujon notorious criminal\n", + "BL Blacheville Parisian student from Montauban\n", + "... ... ...\n", + "TS Toussaint servant of JV at Rue Plumet\n", + "VI Madame Victurnien snoop in M-- sur M--\n", + "XA Child 1 son of TH sold to MN\n", + "XB Child 2 son of TH sold to MN\n", + "ZE Zephine lover of FA\n", + "\n", + "[80 rows x 2 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "scenes = {\n", " 0: ('FN', 'TH'),\n", @@ -58,9 +195,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:15.130555Z", + "start_time": "2024-05-16T22:23:15.104677Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/hnx2/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:438: DeprecationWarning: The `ipykernel.comm.Comm` class has been deprecated. Please use the `comm` module instead.For creating comms, use the function `from comm import create_comm`.\n", + " self.comm = Comm(**args)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "93965671121b4f67aaeea3c2616913b9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HypernetxWidget(component='HypernetxWidget', props={'nodes': [{'uid': 'TH'}, {'uid': 'MP'}, {'uid': 'FN'}, {'u…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "## Default behavior\n", "example1 = HypernetxWidget(H)\n", @@ -77,14 +242,34 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:16.132733Z", + "start_time": "2024-05-16T22:23:16.120716Z" + } + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6c4f2b96019d4ac0be5146d8f00e346f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HypernetxWidget(component='HypernetxWidget', props={'nodes': [{'uid': 'TH'}, {'uid': 'MP'}, {'uid': 'FN'}, {'u…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# node_colors = {k:'r' if k in ['JV','TH','FN'] else 'b' for k in H.nodes}\n", + "node_colors = {k:'r' if k in ['JV','TH','FN'] else 'b' for k in H.nodes}\n", "example2 = HypernetxWidget(\n", " H,\n", - "# nodes_kwargs={'color':node_colors},\n", + " nodes_kwargs={'color':node_colors},\n", " edges_kwargs={'edgecolors':'g'}\n", ")\n", "example2" @@ -102,11 +287,95 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:17.245676Z", + "start_time": "2024-05-16T22:23:17.232292Z" + }, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'_dom_classes': (),\n", + " '_model_module': 'hnxwidget',\n", + " '_model_module_version': '^0.1.0',\n", + " '_model_name': 'ExampleModel',\n", + " '_view_count': None,\n", + " '_view_module': 'hnxwidget',\n", + " '_view_module_version': '^0.1.0',\n", + " '_view_name': 'ExampleView',\n", + " 'component': 'HypernetxWidget',\n", + " 'edge_stroke': {},\n", + " 'hidden_edges': {},\n", + " 'hidden_nodes': {},\n", + " 'layout': 'IPY_MODEL_bc96ccb610dc44d2ba6798d9f8f91771',\n", + " 'node_fill': {},\n", + " 'pos': {},\n", + " 'props': {'nodes': [{'uid': 'TH'},\n", + " {'uid': 'MP'},\n", + " {'uid': 'FN'},\n", + " {'uid': 'CN'},\n", + " {'uid': 'MA'},\n", + " {'uid': 'BM'},\n", + " {'uid': 'BR'},\n", + " {'uid': 'CC'},\n", + " {'uid': 'JU'},\n", + " {'uid': 'JV'},\n", + " {'uid': 'GP'},\n", + " {'uid': 'CH'},\n", + " {'uid': 'JA'}],\n", + " 'edges': [{'uid': '0', 'elements': ['FN', 'TH']},\n", + " {'uid': '1', 'elements': ['TH', 'JV']},\n", + " {'uid': '2', 'elements': ['BM', 'FN', 'JA']},\n", + " {'uid': '3', 'elements': ['JV', 'JU', 'CH', 'BM']},\n", + " {'uid': '4', 'elements': ['JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM']},\n", + " {'uid': '5', 'elements': ['TH', 'GP']},\n", + " {'uid': '6', 'elements': ['GP', 'MP']},\n", + " {'uid': '7', 'elements': ['MA', 'GP']}],\n", + " 'nodeFill': {'TH': '#ff0000ff',\n", + " 'MP': '#0000ffff',\n", + " 'FN': '#ff0000ff',\n", + " 'CN': '#0000ffff',\n", + " 'MA': '#0000ffff',\n", + " 'BM': '#0000ffff',\n", + " 'BR': '#0000ffff',\n", + " 'CC': '#0000ffff',\n", + " 'JU': '#0000ffff',\n", + " 'JV': '#ff0000ff',\n", + " 'GP': '#0000ffff',\n", + " 'CH': '#0000ffff',\n", + " 'JA': '#0000ffff'},\n", + " 'edgeStroke': {0: '#008000ff',\n", + " 1: '#008000ff',\n", + " 2: '#008000ff',\n", + " 3: '#008000ff',\n", + " 4: '#008000ff',\n", + " 5: '#008000ff',\n", + " 6: '#008000ff',\n", + " 7: '#008000ff'},\n", + " 'edgeStrokeWidth': {0: 2, 1: 2, 2: 2, 3: 2, 4: 2, 5: 2, 6: 2, 7: 2},\n", + " 'edgeLabelColor': {0: '#008000ff',\n", + " 1: '#008000ff',\n", + " 2: '#008000ff',\n", + " 3: '#008000ff',\n", + " 4: '#008000ff',\n", + " 5: '#008000ff',\n", + " 6: '#008000ff',\n", + " 7: '#008000ff'}},\n", + " 'removed_edges': {},\n", + " 'removed_nodes': {},\n", + " 'selected_edges': {},\n", + " 'selected_nodes': {}}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "example2.get_state()" ] @@ -121,13 +390,34 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:18.370346Z", + "start_time": "2024-05-16T22:23:18.359473Z" + } + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7599ffb13290423491a500ef2bf49043", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HypernetxWidget(component='HypernetxWidget', props={'nodes': [{'uid': 'TH'}, {'uid': 'MP'}, {'uid': 'FN'}, {'u…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "## \n", "example3 = HypernetxWidget(\n", " H,\n", - " nodes_kwargs={'color': example2.node_fill}\n", + " nodes_kwargs={'color': example2.props[\"nodeFill\"]}\n", ")\n", "\n", "example3" @@ -143,11 +433,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:19.486436Z", + "start_time": "2024-05-16T22:23:19.468323Z" + }, "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9809de9d953d49b28ac84b68319a2aef", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HypernetxWidget(component='HypernetxWidget', props={'nodes': [{'uid': 'TH'}, {'uid': 'MP'}, {'uid': 'FN'}, {'u…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "example4 = HypernetxWidget(\n", " H,\n", @@ -157,10 +466,345 @@ " edge_labels={0: 'scene 0'},\n", " nodes_kwargs={'color':'pink'},\n", ")\n", - "==\n", - "ex\\ample4" + "\n", + "example4" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Using Hypergraph's metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:20.554709Z", + "start_time": "2024-05-16T22:23:20.528041Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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weightFullNameDescriptionmisc_properties
uid
FN1Fantinelover of FT{}
TH1Th\\'enardiersergeant of Waterloo and keeper of a chophouse{}
JV1Jean Valjeanthief of bread{}
BM1Monsieur Bamataboisidler of M-- sur M--{}
JA1Javertpolice officer of M-- sur M--{}
JU1Judge of Douaijudge at the court trying CH{}
CH1Champmathieuaccused thief mistaken for JV{}
BR1Brevetconvict in the galleys with JV{}
CN1Chenildieuconvict in the galleys with JV{}
CC1Cochepailleconvict in the galleys with JV{}
GP1George Pontmercyfather of MA and son-in-law of GI{}
MP1Madame Pontmercyyounger daughter of GI{}
MA1Mariusgrandson of GI{}
\n", + "
" + ], + "text/plain": [ + " weight FullName \\\n", + "uid \n", + "FN 1 Fantine \n", + "TH 1 Th\\'enardier \n", + "JV 1 Jean Valjean \n", + "BM 1 Monsieur Bamatabois \n", + "JA 1 Javert \n", + "JU 1 Judge of Douai \n", + "CH 1 Champmathieu \n", + "BR 1 Brevet \n", + "CN 1 Chenildieu \n", + "CC 1 Cochepaille \n", + "GP 1 George Pontmercy \n", + "MP 1 Madame Pontmercy \n", + "MA 1 Marius \n", + "\n", + " Description misc_properties \n", + "uid \n", + "FN lover of FT {} \n", + "TH sergeant of Waterloo and keeper of a chophouse {} \n", + "JV thief of bread {} \n", + "BM idler of M-- sur M-- {} \n", + "JA police officer of M-- sur M-- {} \n", + "JU judge at the court trying CH {} \n", + "CH accused thief mistaken for JV {} \n", + "BR convict in the galleys with JV {} \n", + "CN convict in the galleys with JV {} \n", + "CC convict in the galleys with JV {} \n", + "GP father of MA and son-in-law of GI {} \n", + "MP younger daughter of GI {} \n", + "MA grandson of GI {} " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "node_properties = dnames.reset_index()\n", + "H2 = hnx.Hypergraph(H.dataframe, node_properties=node_properties)\n", + "\n", + "H2.nodes.dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:21.109029Z", + "start_time": "2024-05-16T22:23:21.086440Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " weight FullName \\\n", + "uid \n", + "FN 1 Fantine \n", + "TH 1 Th\\'enardier \n", + "JV 1 Jean Valjean \n", + "BM 1 Monsieur Bamatabois \n", + "JA 1 Javert \n", + "JU 1 Judge of Douai \n", + "CH 1 Champmathieu \n", + "BR 1 Brevet \n", + "CN 1 Chenildieu \n", + "CC 1 Cochepaille \n", + "GP 1 George Pontmercy \n", + "MP 1 Madame Pontmercy \n", + "MA 1 Marius \n", + "\n", + " Description degree misc_properties \n", + "uid \n", + "FN lover of FT 2 {} \n", + "TH sergeant of Waterloo and keeper of a chophouse 3 {} \n", + "JV thief of bread 3 {} \n", + "BM idler of M-- sur M-- 3 {} \n", + "JA police officer of M-- sur M-- 1 {} \n", + "JU judge at the court trying CH 2 {} \n", + "CH accused thief mistaken for JV 2 {} \n", + "BR convict in the galleys with JV 1 {} \n", + "CN convict in the galleys with JV 1 {} \n", + "CC convict in the galleys with JV 1 {} \n", + "GP father of MA and son-in-law of GI 3 {} \n", + "MP younger daughter of GI 1 {} \n", + "MA grandson of GI 1 {} \n", + "\n", + " weight size misc_properties\n", + "uid \n", + "0 1 2 {}\n", + "1 1 2 {}\n", + "2 1 3 {}\n", + "3 1 4 {}\n", + "4 1 7 {}\n", + "5 1 2 {}\n", + "6 1 2 {}\n", + "7 1 2 {}\n" + ] + } + ], + "source": [ + "## to add an additional property column to nodes and edges, first set a default value, then change the \n", + "## value for individual objects:\n", + "\n", + "H2.nodes.set_defaults({'degree':0})\n", + "for nd in H2.nodes:\n", + " H2.nodes[nd].degree = H2.degree(nd)\n", + " \n", + "H2.edges.set_defaults({'size':0})\n", + "for ed in H2.edges:\n", + " H2.edges[ed].size = H2.size(ed)\n", + " \n", + "print(H2.nodes.dataframe)\n", + "print()\n", + "print(H2.edges.dataframe)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-05-16T22:23:21.748473Z", + "start_time": "2024-05-16T22:23:21.723634Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/hnx2/lib/python3.10/site-packages/pandas/core/dtypes/cast.py:1641: DeprecationWarning: np.find_common_type is deprecated. Please use `np.result_type` or `np.promote_types`.\n", + "See https://numpy.org/devdocs/release/1.25.0-notes.html and the docs for more information. (Deprecated NumPy 1.25)\n", + " return np.find_common_type(types, [])\n", + "/opt/miniconda3/envs/hnx2/lib/python3.10/site-packages/pandas/core/dtypes/cast.py:1641: DeprecationWarning: np.find_common_type is deprecated. Please use `np.result_type` or `np.promote_types`.\n", + "See https://numpy.org/devdocs/release/1.25.0-notes.html and the docs for more information. (Deprecated NumPy 1.25)\n", + " return np.find_common_type(types, [])\n", + "/opt/miniconda3/envs/hnx2/lib/python3.10/site-packages/ipywidgets/widgets/widget.py:438: DeprecationWarning: The `ipykernel.comm.Comm` class has been deprecated. Please use the `comm` module instead.For creating comms, use the function `from comm import create_comm`.\n", + " self.comm = Comm(**args)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "14d3751aad0d4bf48f97e2fd955ef64b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HypernetxWidget(component='HypernetxWidget', props={'nodes': [{'uid': 'TH'}, {'uid': 'MP'}, {'uid': 'FN'}, {'u…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "### All of the data in the property dataframes may be used in the widget except for the misc_properties\n", + "### Hover over nodes and edges to see the data associated with the object\n", + "\n", + "node_colors = {nd: plt.cm.Set1(H2.nodes[nd].degree) for nd in H2.nodes}\n", + "edge_colors = {ed: plt.cm.Set1(H2.edges[ed].size) for ed in H2.edges}\n", + "\n", + "example5 = HypernetxWidget(\n", + " H2,\n", + " collapse_nodes=True,\n", + " node_data=H2.nodes.dataframe[['weight', 'FullName', 'Description', 'degree']],\n", + " edge_data=H2.edges.dataframe[['weight','size']],\n", + " node_labels={'JV': 'Valjean'},\n", + " edge_labels={0: 'scene 0'},\n", + " nodes_kwargs={'color':node_colors},\n", + " edges_kwargs={'edgecolors':edge_colors}\n", + ")\n", + "example5" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -185,7 +829,20 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.16" + "version": "3.10.14" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, diff --git a/tutorials/widget/Demo 2 - HNX Constructor and More Widget Examples.ipynb b/tutorials/widget/Demo 2 - HNX Constructor and More Widget Examples.ipynb deleted file mode 100644 index 695db192..00000000 --- a/tutorials/widget/Demo 2 - HNX Constructor and More Widget Examples.ipynb +++ /dev/null @@ -1,708 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# HNX Constructor and Widget Examples\n", - "\n", - "Unlike the tutorials, this is an interactive demo to get you acquainted with the constructor options and how to use the widget. **Hover over the nodes and edges each time you run the widget to see how properties enhance the visual information.**" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "from collections import defaultdict\n", - "import matplotlib.pyplot as plt\n", - "import networkx as nx\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "import hypernetx as hnx\n", - "from hnxwidget import HypernetxWidget as HW\n", - "\n", - "import shutup\n", - "shutup.mute_warnings()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def checkplts(h):\n", - " fig,ax = plt.subplots(1,2,figsize=(15,6))\n", - " hnx.draw(h,ax=ax[0])\n", - " ax[0].set_title('Hypergraph',fontsize=15)\n", - " hnx.draw(h.dual(),ax=ax[1])\n", - " ax[1].set_title('Dual',fontsize=15)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Set Systems \n", - "The next 2 cells construct the necessary dictionaries and dataframes to run the demo." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "code_folding": [] - }, - "outputs": [], - "source": [ - "### numpy array, single property dict - uncomment np.random.seed for consistent results\n", - "# np.random.seed(0)\n", - "npcol1 = np.random.choice(list(\"ABCD\"),50)\n", - "npcol2 = np.random.choice(list(\"abcdefghijklmnopqrstuvwxyz\"),50)\n", - "\n", - "npdata = np.array([npcol1,npcol2]).T\n", - "npedge_col = 'Club'\n", - "npnode_col = 'Member'\n", - "\n", - "npproperties = {k :{'affiliation': np.random.choice(['red','green'])} for k in np.concatenate([npcol1,npcol2])}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "code_folding": [], - "scrolled": false - }, - "outputs": [], - "source": [ - "## LesMis data as dictionaries and dataframes - uses LesMis class in utils.toys\n", - "## Uncomment np.random.seed for consistent results\n", - "# np.random.seed(0)\n", - "from hypernetx.utils.toys import lesmis as lm\n", - "np.random.seed(0)\n", - "LM = lm.LesMis()\n", - "## dict\n", - "scenes = {\n", - " 0: ('FN', 'TH'),\n", - " 1: ('TH', 'JV'),\n", - " 2: ('BM', 'FN', 'JA'),\n", - " 3: ('JV', 'JU', 'CH', 'BM'),\n", - " 4: ('JU', 'CH', 'BR', 'CN', 'CC', 'JV', 'BM'),\n", - " 5: ('TH', 'GP'),\n", - " 6: ('GP', 'MP'),\n", - " 7: ('MA', 'GP'),\n", - "}\n", - "\n", - "### Nested dict with cell_properties\n", - "scenes_with_cellprops = {ed: {ch: {'color':np.random.choice(['red','green']),'cell_weight':np.random.rand()} \n", - " for ch in v} for ed,v in scenes.items()}\n", - "\n", - "### Pandas dataframe\n", - "scenes_df = pd.DataFrame(pd.Series(scenes).explode()).reset_index().rename(columns={'index':'Scenes', \n", - " 0:'Characters'})\n", - "### Dataframe with cell properties\n", - "scenes_dataframe = scenes_df.copy()\n", - "scenes_dataframe['color'] = np.random.choice(['red','green'],len(scenes_dataframe))\n", - "scenes_dataframe['heaviness'] = np.random.rand(len(scenes_dataframe))\n", - "\n", - "\n", - "### Node and edge property data\n", - "nodes = list(set(list(np.concatenate([v for v in scenes.values()]))))\n", - "edges = list(set(list(scenes.keys())))\n", - "node_properties = {ch: {'FullName': LM.dnames.loc[ch].FullName, \n", - " 'Description': LM.dnames.loc[ch].Description,\n", - " 'color':np.random.choice(['pink','lightblue'])} for ch in nodes}\n", - "node_props_df = pd.DataFrame.from_dict(node_properties,orient='index')\n", - "default_node_weight = 10\n", - "\n", - "### These edge properties will have missing weights so \n", - "### will be filled by constructor with default_edge_weight\n", - "edge_properties = defaultdict(dict)\n", - "edge_properties.update({ed:{'weight':np.random.randint(2,10)} for ed in range(0,8,2)})\n", - "for ed in edges:\n", - " edge_properties[ed].update({'color':np.random.choice(['red','green'])})\n", - "default_edge_weight = 2\n", - "\n", - "properties = [{'id':nd,\n", - " 'color':np.random.choice(['red','blue','green','yellow']),\n", - " 'weight': np.round(np.random.rand(),3)}\n", - " for nd in nodes+edges]\n", - "properties = pd.DataFrame(properties)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraphs without properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def test(H):\n", - " edge = list(H.edges)[0]\n", - " node = H.edges[edge][0]\n", - " pair = (edge,node)\n", - " return {'pair' : pair,\n", - " 'nodes' : list(H.nodes)[:5],\n", - " 'edges' : list(H.edges)[:5],\n", - " 'diameter': H.diameter(),\n", - " 'edge_diameter' : H.edge_diameter(),\n", - " 'linegraph': H.get_linegraph(1).edges(), \n", - " 'info' : hnx.info_dict(H),\n", - " 'get_cell_property' : H.edges.get_cell_properties(edge,node)}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Numpy Arrays" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "### With no data and dictionaries, constructor works as before but will now accept \n", - "### n x 2 dimensional Numpy ndarrays.\n", - "H1 = hnx.Hypergraph(npdata)\n", - "test(H1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "checkplts(H1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Pandas DataFrames" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "scenes_dataframe[:5]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "## dataframes will by default use the first two columns for (edge,node) pairs \n", - "### but different columns may be specified using the edge_col and node_col keywords\n", - "H2 = hnx.Hypergraph(scenes_dataframe)\n", - "checkplts(H2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H2 = hnx.Hypergraph(scenes_dataframe,edge_col='Characters',node_col='Scenes')\n", - "checkplts(H2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraphs from setsytems with cell properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def testp(H):\n", - " edge = list(H.edges)[0]\n", - " node = H.edges[edge][0]\n", - " pair = (edge,node)\n", - " HD = H.dual()\n", - " return {\n", - " 'pair' : pair,\n", - " 'single_cell_property' : H.get_cell_properties(edge,node),\n", - " 'single_cell_weight' : H.get_cell_properties(edge,node,H._cell_weight_col),\n", - " 'single_dual_cell_property' : HD.get_cell_properties(node,edge),\n", - " 'neighbors' : H.neighbors(node),\n", - " 'edge_neighbors': H.edge_neighbors(edge),\n", - " 'line_graph': H.get_linegraph(edges=True)\n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dataframes with properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "H3 = hnx.Hypergraph(scenes_dataframe,\n", - " cell_properties=['color'],\n", - " cell_weight_col='heaviness',\n", - " node_properties=node_properties,\n", - " edge_properties=edge_properties)\n", - "testp(H3)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H3.incidence_matrix(weights=True).todense()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Add object properties\n", - "Hover over nodes and edges in the widget to see their properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H4 = hnx.Hypergraph(scenes_dataframe,\n", - " cell_properties=['color'],\n", - " cell_weight_col='heaviness',\n", - " properties=properties,\n", - " weight_col='weight')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "HW(H4)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5 = H4.remove(['JV',1,2,3])\n", - "HW(H5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "### Line Graphs persist properties as well" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "h = H4 ## Try with H3\n", - "G1 = h.get_linegraph()\n", - "G2 = h.get_linegraph(edges=False)\n", - "nxncolors = [h.nodes[nd].color for nd in G2.nodes]\n", - "nxecolors = [h.edges[nd].color for nd in G1.nodes]\n", - "fig,ax = plt.subplots(1,2,figsize=(15,7))\n", - "nx.draw_networkx(G1,node_color = nxecolors,ax=ax[0])\n", - "ax[0].set_title('edge line graph',fontsize=15)\n", - "ax[0].axis('off')\n", - "nx.draw_networkx(G2,node_color = nxncolors,ax=ax[1])\n", - "ax[1].set_title('node line graph',fontsize=15)\n", - "ax[1].axis('off');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "G1.nodes(data=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "G2.nodes(data=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dictionaries with properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5 = hnx.Hypergraph(scenes_with_cellprops,\n", - " edge_col='Scenes',\n", - " node_col='Characters',\n", - " cell_weight_col = 'cell_weight', \n", - " cell_properties=scenes_with_cellprops)\n", - "testp(H5.dual())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "checkplts(H5.collapse_nodes())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5.incidence_matrix(weights=True).todense()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5.adjacency_matrix(s=2).todense()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5.edge_adjacency_matrix().todense()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H5.get_cell_properties(0,'FN','color')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraphs with properties on edges and nodes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "H6 = hnx.Hypergraph(\n", - " setsystem=scenes_dataframe,\n", - " edge_col=\"Scenes\",\n", - " node_col=\"Characters\",\n", - " cell_weight_col='cell_weight',\n", - " cell_properties=['color'],\n", - " edge_properties=edge_properties,\n", - " node_properties=node_properties,\n", - " default_edge_weight=2.5,\n", - " default_node_weight=6,\n", - ")\n", - "H6.properties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "plot = HW(H6,node_fill = {nd:H6.nodes[nd].color for nd in H6.nodes},\n", - " edge_stroke = {ed:H6.edges[ed].color for ed in H6.edges},\n", - " edge_stroke_width = {ed:12 for ed in H6.edges})\n", - "plot" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "### Properties are preserved when removing or restricting edges or taking toplexes\n", - "tops = H6.toplexes()\n", - "HW(tops)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "tops.edges.properties" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### np array with node and edge data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "npproperties" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "H7 = hnx.Hypergraph(npdata,\n", - " edge_col=npedge_col,\n", - " node_col=npnode_col,\n", - " properties = npproperties)\n", - "HW(H7)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "HW(H7,node_fill={nd: H7.nodes[nd].affiliation for nd in H7.nodes},\n", - " edge_stroke={ed: H7.edges[ed].affiliation for ed in H7.edges})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hypergraphs with multi-edges\n", - "HNX distinguishes between edges by their ids, not their contents. This allows for multi-edges\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df1 = scenes_df.copy()\n", - "df1['cell_weights'] = 1\n", - "df2 = scenes_df.copy()\n", - "df2.Scenes = df2.Scenes.apply(lambda x : str((x + 8)))\n", - "\n", - "## Duplicate edges\n", - "ndf = pd.concat([df1,df2])\n", - "## Change an attribute on duplicate edges to try aggregation methods\n", - "ndf['color'] = np.random.choice(['red','lightblue','green'],len(ndf))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H8 = hnx.Hypergraph(ndf)\n", - "HW(H8)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H9,eclasses = H8.collapse_edges(return_equivalence_classes=True)\n", - "## equivalence classes for collapsed edges\n", - "eclasses" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "HW(H9)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Restrict_to and Remove \n", - "\n", - "The same restriction can be used for remove nodes and restrict_to methods. Depending on the number of objects being restricted to it could be faster to just remove the objects you don't want." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "H10 = hnx.Hypergraph(scenes_dataframe,node_properties=node_properties,edge_properties=edge_properties)\n", - "HW(H10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "HW(H10.restrict_to_nodes(['JV','TH','BM','FN']))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "HW(H10.restrict_to_edges([0,1]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "HW(H10.remove_edges([0,1]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "### If nodes and edges have distinct id sets a single remove command cat remove both.\n", - "HW(H10.remove(['JV','TH',2,3]))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}